release: bump 0.5.0 -> 0.5.1 (#162 )

Version bump **0.5.0 → 0.5.1** for the Seasonality & Session family release (12 indicators, PR #161). Bumped: `Cargo.toml` (workspace version + `wickra-core` dep), `Cargo.lock` (via `cargo build`), `bindings/python/pyproject.toml`, `bindings/node/package.json` (+ 6 `optionalDependencies`), the 6 `bindings/node/npm/<platform>/package.json`, both `package-lock.json` files, and `CHANGELOG.md` (`[Unreleased]` → `[0.5.1]` + compare URLs). No code changes — version strings only.
feat(seasonality): add the Seasonality & Session family (12 indicators) (#161 )
2026-06-03 20:55:13 +02:00 · 2026-06-03 20:31:32 +02:00 · 2026-06-03 20:00:40 +02:00
41 changed files with 5304 additions and 105 deletions
@@ -7,6 +7,23 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

+## [0.5.1] - 2026-06-03
+
+### Added — Seasonality & Session family (12 indicators)
+
+- **Volume-by-Time Profile** — mean traded volume bucketed by intraday time (`VOLUME_BY_TIME_PROFILE`).
+- **Intraday Volatility Profile** — return standard deviation bucketed by intraday time (`INTRADAY_VOLATILITY_PROFILE`).
+- **Day-of-Week Profile** — mean bar return bucketed by weekday (`DAY_OF_WEEK_PROFILE`).
+- **Time-of-Day Return Profile** — mean bar return bucketed by intraday time (`TIME_OF_DAY_RETURN_PROFILE`).
+- **Seasonal Z-Score** — z-score of the current return versus the same hour-of-day history (`SEASONAL_Z_SCORE`).
+- **Turn-of-Month** — mean daily return inside the turn-of-month window (`TURN_OF_MONTH`).
+- **Overnight/Intraday Return** — decomposition of session return into overnight and intraday legs (`OVERNIGHT_INTRADAY_RETURN`).
+- **Overnight Gap** — close-to-open return across the session boundary (`OVERNIGHT_GAP`).
+- **Average Daily Range** — mean high-low range of the last N completed sessions (`AVERAGE_DAILY_RANGE`).
+- **Session Range** — per-session (Asia/EU/US) high-low range (`SESSION_RANGE`).
+- **Session High/Low** — running high and low of the current session (`SESSION_HIGH_LOW`).
+- **Session VWAP** — session-anchored volume-weighted average price (`SESSION_VWAP`).
+
 ## [0.5.0] - 2026-06-03

 ### Added
@@ -1168,7 +1185,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
  optional Binance live feed.
 - Bindings for Python, Node.js, and WebAssembly.

-[Unreleased]: https://github.com/wickra-lib/wickra/compare/v0.5.0...HEAD
+[Unreleased]: https://github.com/wickra-lib/wickra/compare/v0.5.1...HEAD
+[0.5.1]: https://github.com/wickra-lib/wickra/compare/v0.5.0...v0.5.1
 [0.5.0]: https://github.com/wickra-lib/wickra/compare/v0.4.7...v0.5.0
 [0.4.7]: https://github.com/wickra-lib/wickra/compare/v0.4.6...v0.4.7
 [0.4.6]: https://github.com/wickra-lib/wickra/compare/v0.4.5...v0.4.6
@@ -1867,7 +1867,7 @@ dependencies = [

 [[package]]
 name = "wickra"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "approx",
 "criterion",
@@ -1878,7 +1878,7 @@ dependencies = [

 [[package]]
 name = "wickra-core"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "approx",
 "proptest",
@@ -1888,7 +1888,7 @@ dependencies = [

 [[package]]
 name = "wickra-data"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "approx",
 "csv",
@@ -1915,7 +1915,7 @@ dependencies = [

 [[package]]
 name = "wickra-node"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "napi",
 "napi-build",
@@ -1925,7 +1925,7 @@ dependencies = [

 [[package]]
 name = "wickra-python"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "numpy",
 "pyo3",
@@ -1934,7 +1934,7 @@ dependencies = [

 [[package]]
 name = "wickra-wasm"
-version = "0.5.0"
+version = "0.5.1"
 dependencies = [
 "console_error_panic_hook",
 "js-sys",
@@ -12,7 +12,7 @@ members = [
 exclude = ["fuzz"]

 [workspace.package]
-version = "0.5.0"
+version = "0.5.1"
 authors = ["kingchenc <support@wickra.org>"]
 edition = "2021"
 rust-version = "1.86"
@@ -24,7 +24,7 @@ keywords = ["finance", "trading", "indicators", "technical-analysis", "ta"]
 categories = ["finance", "mathematics", "science"]

 [workspace.dependencies]
-wickra-core = { path = "crates/wickra-core", version = "0.5.0" }
+wickra-core = { path = "crates/wickra-core", version = "0.5.1" }

 thiserror = "2"
 rayon = "1.10"
@@ -0,0 +1,201 @@
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+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
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+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
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+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
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+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
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+
+   Copyright 2026 kingchenc and the Wickra contributors
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2026 kingchenc and the Wickra contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
@@ -1,5 +1,5 @@
 <p align="center">
-  <a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=339" alt="Wickra — streaming-first technical indicators" width="100%"></a>
+  <a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=351" alt="Wickra — streaming-first technical indicators" width="100%"></a>
 </p>

 [![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
@@ -47,7 +47,7 @@ Full documentation lives at **[docs.wickra.org](https://docs.wickra.org)**:
  [Node](https://docs.wickra.org/Quickstart-Node),
  [WASM](https://docs.wickra.org/Quickstart-WASM).
 - **Indicators** — a per-indicator deep dive (formula, parameters, warmup) for
-  every one of the 339 indicators; start at the
+  every one of the 351 indicators; start at the
  [indicators overview](https://docs.wickra.org/Indicators-Overview).
 - **Reference** — [warmup periods](https://docs.wickra.org/Warmup-Periods),
  [streaming vs batch](https://docs.wickra.org/Streaming-vs-Batch),
@@ -135,7 +135,7 @@ python -m benchmarks.compare_libraries

 ## Indicators

-339 streaming-first indicators across twenty families. Every one passes the
+351 streaming-first indicators across twenty-one families. Every one passes the
 `batch == streaming` equivalence test, reference-value tests, and reset
 semantics tests. Each has a per-indicator deep dive (formula, parameters,
 warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
@@ -162,6 +162,7 @@ warmup) at [docs.wickra.org](https://docs.wickra.org/Indicators-Overview).
 | Market Profile       | Value Area (POC / VAH / VAL), Volume Profile (histogram), TPO Profile, Initial Balance, Opening Range |
 | Market Breadth       | Advance/Decline Line, Advance/Decline Ratio, Advance/Decline Volume Line, McClellan Oscillator, McClellan Summation Index, TRIN / Arms Index, Breadth Thrust, New Highs - New Lows, High-Low Index, Percent Above Moving Average, Up/Down Volume Ratio, Bullish Percent Index, Cumulative Volume Index, Absolute Breadth Index, TICK Index |
 | Risk / Performance   | Sharpe Ratio, Sortino Ratio, Calmar Ratio, Omega Ratio, Max Drawdown, Average Drawdown, Drawdown Duration, Pain Index, Value at Risk, Conditional Value at Risk (CVaR), Profit Factor, Gain/Loss Ratio, Recovery Factor, Kelly Criterion, Treynor Ratio, Information Ratio, Alpha (Jensen) |
+| Seasonality & Session | Session VWAP, Session High/Low, Session Range, Average Daily Range, Overnight Gap, Overnight/Intraday Return, Turn-of-Month, Seasonal Z-Score, Time-of-Day Return Profile, Day-of-Week Profile, Intraday Volatility Profile, Volume-by-Time Profile |

 Every candlestick pattern emits a signed per-bar value — `+1.0` bullish,
 `−1.0` bearish, `0.0` none — so the family drops straight into a feature matrix
@@ -240,7 +241,7 @@ A Python live-trading example using the public `websockets` package lives at
 ```
 wickra/
 ├── crates/
-│   ├── wickra-core/         core engine + all 339 indicators
+│   ├── wickra-core/         core engine + all 351 indicators
 │   ├── wickra/              top-level facade crate (publishes on crates.io) + benches/
 │   └── wickra-data/         CSV reader, tick aggregator, live exchange feeds
 ├── bindings/
@@ -0,0 +1,96 @@
+// Streaming-vs-batch equivalence and reference values for the Seasonality &
+// Session family. These indicators consume the full candle (open, high, low,
+// close, volume, timestamp), so they have a dedicated suite.
+
+const test = require('node:test');
+const assert = require('node:assert/strict');
+const wickra = require('..');
+
+const HOUR = 3_600_000;
+const N = 240;
+const close = Array.from({ length: N }, (_, i) => 100 + Math.sin(i * 0.3) * 5 + Math.cos(i * 0.1) * 3);
+const open = close.map((c, i) => c + Math.sin(i * 0.5) * 0.5);
+const high = close.map((c, i) => Math.max(open[i], c) + 1);
+const low = close.map((c, i) => Math.min(open[i], c) - 1);
+const volume = Array.from({ length: N }, (_, i) => 1000 + (i % 24) * 50);
+const ts = Array.from({ length: N }, (_, i) => i * HOUR);
+
+function eq(a, b) {
+  if (Number.isNaN(a)) return Number.isNaN(b);
+  return Math.abs(a - b) < 1e-9;
+}
+
+function streamScalar(ind, i) {
+  const v = ind.update(open[i], high[i], low[i], close[i], volume[i], ts[i]);
+  return v === null || v === undefined ? NaN : v;
+}
+
+function checkScalar(name, make) {
+  test(`${name} streaming equals batch`, () => {
+    const a = make();
+    const b = make();
+    const batch = b.batch(open, high, low, close, volume, ts);
+    for (let i = 0; i < N; i += 1) {
+      assert.ok(eq(streamScalar(a, i), batch[i]), `${name} row ${i}`);
+    }
+  });
+}
+
+function checkMatrix(name, make, k, pick) {
+  test(`${name} streaming equals batch`, () => {
+    const a = make();
+    const b = make();
+    const batch = b.batch(open, high, low, close, volume, ts);
+    for (let i = 0; i < N; i += 1) {
+      const out = a.update(open[i], high[i], low[i], close[i], volume[i], ts[i]);
+      for (let j = 0; j < k; j += 1) {
+        const s = out === null || out === undefined ? NaN : pick(out, j);
+        assert.ok(eq(s, batch[i * k + j]), `${name} row ${i} col ${j}`);
+      }
+    }
+  });
+}
+
+checkScalar('SessionVwap', () => new wickra.SessionVwap(0));
+checkScalar('OvernightGap', () => new wickra.OvernightGap(0));
+checkScalar('SeasonalZScore', () => new wickra.SeasonalZScore(0));
+checkScalar('AverageDailyRange', () => new wickra.AverageDailyRange(3, 0));
+checkScalar('TurnOfMonth', () => new wickra.TurnOfMonth(3, 1, 0));
+
+checkMatrix('SessionHighLow', () => new wickra.SessionHighLow(0), 2, (o, j) => (j === 0 ? o.high : o.low));
+checkMatrix('SessionRange', () => new wickra.SessionRange(0), 3, (o, j) => [o.asia, o.eu, o.us][j]);
+checkMatrix(
+  'OvernightIntradayReturn',
+  () => new wickra.OvernightIntradayReturn(0),
+  2,
+  (o, j) => (j === 0 ? o.overnight : o.intraday),
+);
+checkMatrix('TimeOfDayReturnProfile', () => new wickra.TimeOfDayReturnProfile(24, 0), 24, (o, j) => o[j]);
+checkMatrix('IntradayVolatilityProfile', () => new wickra.IntradayVolatilityProfile(12, 0), 12, (o, j) => o[j]);
+checkMatrix('VolumeByTimeProfile', () => new wickra.VolumeByTimeProfile(24, 0), 24, (o, j) => o[j]);
+checkMatrix('DayOfWeekProfile', () => new wickra.DayOfWeekProfile(0), 7, (o, j) => o[j]);
+
+test('SessionVwap reference value', () => {
+  const vwap = new wickra.SessionVwap(0);
+  assert.ok(eq(vwap.update(100, 100, 100, 100, 10, 0), 100));
+  assert.ok(eq(vwap.update(110, 110, 110, 110, 30, HOUR), 107.5));
+  assert.ok(eq(vwap.update(200, 200, 200, 200, 5, 24 * HOUR), 200));
+});
+
+test('OvernightGap reference value', () => {
+  const gap = new wickra.OvernightGap(0);
+  assert.equal(gap.update(99, 101, 98, 100, 1, 0), null);
+  assert.ok(eq(gap.update(105, 106, 104, 105.5, 1, 24 * HOUR), 0.05));
+});
+
+test('SessionHighLow reference object', () => {
+  const shl = new wickra.SessionHighLow(0);
+  shl.update(100, 105, 99, 101, 1, 0);
+  const out = shl.update(101, 108, 100, 107, 1, HOUR);
+  assert.ok(eq(out.high, 108));
+  assert.ok(eq(out.low, 99));
+});
+
+test('AverageDailyRange rejects zero period', () => {
+  assert.throws(() => new wickra.AverageDailyRange(0, 0));
+});
@@ -349,6 +349,19 @@ export interface PnfColumnValue {
  high: number
  low: number
 }
+export interface SessionHighLowValue {
+  high: number
+  low: number
+}
+export interface SessionRangeValue {
+  asia: number
+  eu: number
+  us: number
+}
+export interface OvernightIntradayReturnValue {
+  overnight: number
+  intraday: number
+}
 export type SmaNode = SMA
 export declare class SMA {
  constructor(period: number)
@@ -3557,3 +3570,121 @@ export declare class Alpha {
  isReady(): boolean
  warmupPeriod(): number
 }
+export type SessionVwapNode = SessionVwap
+export declare class SessionVwap {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): number | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  utcOffsetMinutes(): number
+}
+export type OvernightGapNode = OvernightGap
+export declare class OvernightGap {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): number | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  utcOffsetMinutes(): number
+}
+export type SeasonalZScoreNode = SeasonalZScore
+export declare class SeasonalZScore {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): number | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  utcOffsetMinutes(): number
+}
+export type TimeOfDayReturnProfileNode = TimeOfDayReturnProfile
+export declare class TimeOfDayReturnProfile {
+  constructor(buckets: number, utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): Array<number> | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  buckets(): number
+  utcOffsetMinutes(): number
+}
+export type IntradayVolatilityProfileNode = IntradayVolatilityProfile
+export declare class IntradayVolatilityProfile {
+  constructor(buckets: number, utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): Array<number> | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  buckets(): number
+  utcOffsetMinutes(): number
+}
+export type VolumeByTimeProfileNode = VolumeByTimeProfile
+export declare class VolumeByTimeProfile {
+  constructor(buckets: number, utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): Array<number> | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  buckets(): number
+  utcOffsetMinutes(): number
+}
+export type DayOfWeekProfileNode = DayOfWeekProfile
+export declare class DayOfWeekProfile {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): Array<number> | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+  utcOffsetMinutes(): number
+}
+export type AverageDailyRangeNode = AverageDailyRange
+export declare class AverageDailyRange {
+  constructor(period: number, utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): number | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type TurnOfMonthNode = TurnOfMonth
+export declare class TurnOfMonth {
+  constructor(nFirst: number, nLast: number, utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): number | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type SessionHighLowNode = SessionHighLow
+export declare class SessionHighLow {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): SessionHighLowValue | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type SessionRangeNode = SessionRange
+export declare class SessionRange {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): SessionRangeValue | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
+export type OvernightIntradayReturnNode = OvernightIntradayReturn
+export declare class OvernightIntradayReturn {
+  constructor(utcOffsetMinutes: number)
+  update(open: number, high: number, low: number, close: number, volume: number, timestamp: number): OvernightIntradayReturnValue | null
+  batch(open: Array<number>, high: Array<number>, low: Array<number>, close: Array<number>, volume: Array<number>, timestamp: Array<number>): Array<number>
+  reset(): void
+  isReady(): boolean
+  warmupPeriod(): number
+}
@@ -310,7 +310,7 @@ if (!nativeBinding) {
  throw new Error(`Failed to load native binding`)
 }

-const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, MOM, CMO, DPO, StdDev, UlcerIndex, VerticalHorizontalFilter, ZScore, McGinleyDynamic, FRAMA, SuperSmoother, FisherTransform, Decycler, CenterOfGravity, CyberneticCycle, InstantaneousTrendline, EhlersStochastic, RVIVolatility, Variance, CoefficientOfVariation, Skewness, Kurtosis, StandardError, DetrendedStdDev, RSquared, MedianAbsoluteDeviation, MIDPOINT, ROCP, ROCR, ROCR100, LINEARREG_INTERCEPT, TSF, Autocorrelation, HurstExponent, PearsonCorrelation, Beta, PairwiseBeta, SpearmanCorrelation, RollingCorrelation, RollingCovariance, OuHalfLife, SpreadHurst, DistanceSsd, BetaNeutralSpread, PairSpreadZScore, LeadLagCrossCorrelation, Cointegration, RelativeStrengthAB, VarianceRatio, GrangerCausality, KalmanHedgeRatio, SpreadBollingerBands, MACD, MACDFIX, MACDEXT, BollingerBands, ATR, PLUS_DM, MINUS_DM, PLUS_DI, MINUS_DI, DX, MIDPRICE, AVGPRICE, SAREXT, HT_PHASOR, Stochastic, OBV, ADX, ADXR, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, RollingVWAP, AwesomeOscillator, Aroon, Inertia, ConnorsRSI, LaguerreRSI, SMI, KST, PGO, RVI, AwesomeOscillatorHistogram, STC, ElderImpulse, ZeroLagMACD, CFO, APO, KAMA, EVWMA, Alligator, JMA, VIDYA, ALMA, T3, TSI, PMO, TII, ADL, VolumePriceTrend, ChaikinMoneyFlow, ChaikinOscillator, ForceIndex, NVI, PVI, VolumeOscillator, KVO, WilliamsAD, AnchoredRSI, AnchoredVWAP, DemandIndex, TSV, VZO, MarketFacilitationIndex, EaseOfMovement, SuperTrend, ChandelierExit, ChandeKrollStop, AtrTrailingStop, HiLoActivator, VoltyStop, YoyoExit, DonchianStop, PercentageTrailingStop, StepTrailingStop, RenkoTrailingStop, TypicalPrice, MedianPrice, WeightedClose, LinearRegression, LinRegSlope, AcceleratorOscillator, BalanceOfPower, ChoppinessIndex, TrueRange, ChaikinVolatility, YangZhangVolatility, RogersSatchellVolatility, GarmanKlassVolatility, ParkinsonVolatility, LinRegAngle, BollingerBandwidth, PercentB, NATR, HistoricalVolatility, AroonOscillator, WaveTrend, RWI, Vortex, MassIndex, StochRSI, UltimateOscillator, PPO, Coppock, VWMA, MaEnvelope, AccelerationBands, StarcBands, AtrBands, HurstChannel, LinRegChannel, StandardErrorBands, DoubleBollinger, TtmSqueeze, FractalChaosBands, VwapStdDevBands, ClassicPivots, FibonacciPivots, Camarilla, WoodiePivots, DemarkPivots, WilliamsFractals, ZigZag, TDSetup, TDSequential, TDDeMarker, TDREI, TDPressure, TDCombo, TDCountdown, TDLines, TDRangeProjection, TDDifferential, TDOpen, TDRiskLevel, InverseFisherTransform, DecyclerOscillator, RoofingFilter, EmpiricalModeDecomposition, HT_DCPHASE, HT_TRENDMODE, HilbertDominantCycle, AdaptiveCycle, SineWave, MAMA, FAMA, Ichimoku, HeikinAshi, ValueArea, VolumeProfile, TpoProfile, InitialBalance, OpeningRange, Doji, Hammer, InvertedHammer, HangingMan, ShootingStar, Engulfing, Harami, MorningEveningStar, ThreeSoldiersOrCrows, PiercingDarkCloud, Marubozu, Tweezer, SpinningTop, ThreeInside, ThreeOutside, TwoCrows, UpsideGapTwoCrows, IdenticalThreeCrows, ThreeLineStrike, ThreeStarsInSouth, AbandonedBaby, AdvanceBlock, BeltHold, Breakaway, Counterattack, DojiStar, DragonflyDoji, GravestoneDoji, LongLeggedDoji, RickshawMan, EveningDojiStar, MorningDojiStar, GapSideBySideWhite, HighWave, Hikkake, HikkakeModified, HomingPigeon, OnNeck, InNeck, Thrusting, SeparatingLines, Kicking, KickingByLength, LadderBottom, MatHold, MatchingLow, LongLine, ShortLine, RisingThreeMethods, FallingThreeMethods, UpsideGapThreeMethods, DownsideGapThreeMethods, StalledPattern, StickSandwich, Takuri, ClosingMarubozu, OpeningMarubozu, TasukiGap, UniqueThreeRiver, ConcealingBabySwallow, OrderBookImbalanceTop1, OrderBookImbalanceFull, Microprice, QuotedSpread, DepthSlope, OrderBookImbalanceTopN, SignedVolume, CumulativeVolumeDelta, TradeImbalance, EffectiveSpread, RealizedSpread, KylesLambda, Footprint, FundingRate, FundingRateMean, FundingRateZScore, FundingBasis, OpenInterestDelta, OIPriceDivergence, OIWeighted, LongShortRatio, TakerBuySellRatio, LiquidationFeatures, TermStructureBasis, CalendarSpread, AdvanceDecline, AdvanceDeclineRatio, AdVolumeLine, McClellanOscillator, McClellanSummationIndex, Trin, BreadthThrust, NewHighsNewLows, HighLowIndex, PercentAboveMa, UpDownVolumeRatio, BullishPercentIndex, CumulativeVolumeIndex, AbsoluteBreadthIndex, TickIndex, SharpeRatio, SortinoRatio, CalmarRatio, OmegaRatio, MaxDrawdown, AverageDrawdown, DrawdownDuration, PainIndex, ValueAtRisk, ConditionalValueAtRisk, ProfitFactor, GainLossRatio, RecoveryFactor, KellyCriterion, TreynorRatio, InformationRatio, RenkoBars, KagiBars, PointAndFigureBars, Alpha } = nativeBinding
+const { version, SMA, EMA, WMA, RSI, DEMA, TEMA, HMA, ROC, TRIX, SMMA, TRIMA, ZLEMA, MOM, CMO, DPO, StdDev, UlcerIndex, VerticalHorizontalFilter, ZScore, McGinleyDynamic, FRAMA, SuperSmoother, FisherTransform, Decycler, CenterOfGravity, CyberneticCycle, InstantaneousTrendline, EhlersStochastic, RVIVolatility, Variance, CoefficientOfVariation, Skewness, Kurtosis, StandardError, DetrendedStdDev, RSquared, MedianAbsoluteDeviation, MIDPOINT, ROCP, ROCR, ROCR100, LINEARREG_INTERCEPT, TSF, Autocorrelation, HurstExponent, PearsonCorrelation, Beta, PairwiseBeta, SpearmanCorrelation, RollingCorrelation, RollingCovariance, OuHalfLife, SpreadHurst, DistanceSsd, BetaNeutralSpread, PairSpreadZScore, LeadLagCrossCorrelation, Cointegration, RelativeStrengthAB, VarianceRatio, GrangerCausality, KalmanHedgeRatio, SpreadBollingerBands, MACD, MACDFIX, MACDEXT, BollingerBands, ATR, PLUS_DM, MINUS_DM, PLUS_DI, MINUS_DI, DX, MIDPRICE, AVGPRICE, SAREXT, HT_PHASOR, Stochastic, OBV, ADX, ADXR, CCI, WilliamsR, MFI, PSAR, Keltner, Donchian, VWAP, RollingVWAP, AwesomeOscillator, Aroon, Inertia, ConnorsRSI, LaguerreRSI, SMI, KST, PGO, RVI, AwesomeOscillatorHistogram, STC, ElderImpulse, ZeroLagMACD, CFO, APO, KAMA, EVWMA, Alligator, JMA, VIDYA, ALMA, T3, TSI, PMO, TII, ADL, VolumePriceTrend, ChaikinMoneyFlow, ChaikinOscillator, ForceIndex, NVI, PVI, VolumeOscillator, KVO, WilliamsAD, AnchoredRSI, AnchoredVWAP, DemandIndex, TSV, VZO, MarketFacilitationIndex, EaseOfMovement, SuperTrend, ChandelierExit, ChandeKrollStop, AtrTrailingStop, HiLoActivator, VoltyStop, YoyoExit, DonchianStop, PercentageTrailingStop, StepTrailingStop, RenkoTrailingStop, TypicalPrice, MedianPrice, WeightedClose, LinearRegression, LinRegSlope, AcceleratorOscillator, BalanceOfPower, ChoppinessIndex, TrueRange, ChaikinVolatility, YangZhangVolatility, RogersSatchellVolatility, GarmanKlassVolatility, ParkinsonVolatility, LinRegAngle, BollingerBandwidth, PercentB, NATR, HistoricalVolatility, AroonOscillator, WaveTrend, RWI, Vortex, MassIndex, StochRSI, UltimateOscillator, PPO, Coppock, VWMA, MaEnvelope, AccelerationBands, StarcBands, AtrBands, HurstChannel, LinRegChannel, StandardErrorBands, DoubleBollinger, TtmSqueeze, FractalChaosBands, VwapStdDevBands, ClassicPivots, FibonacciPivots, Camarilla, WoodiePivots, DemarkPivots, WilliamsFractals, ZigZag, TDSetup, TDSequential, TDDeMarker, TDREI, TDPressure, TDCombo, TDCountdown, TDLines, TDRangeProjection, TDDifferential, TDOpen, TDRiskLevel, InverseFisherTransform, DecyclerOscillator, RoofingFilter, EmpiricalModeDecomposition, HT_DCPHASE, HT_TRENDMODE, HilbertDominantCycle, AdaptiveCycle, SineWave, MAMA, FAMA, Ichimoku, HeikinAshi, ValueArea, VolumeProfile, TpoProfile, InitialBalance, OpeningRange, Doji, Hammer, InvertedHammer, HangingMan, ShootingStar, Engulfing, Harami, MorningEveningStar, ThreeSoldiersOrCrows, PiercingDarkCloud, Marubozu, Tweezer, SpinningTop, ThreeInside, ThreeOutside, TwoCrows, UpsideGapTwoCrows, IdenticalThreeCrows, ThreeLineStrike, ThreeStarsInSouth, AbandonedBaby, AdvanceBlock, BeltHold, Breakaway, Counterattack, DojiStar, DragonflyDoji, GravestoneDoji, LongLeggedDoji, RickshawMan, EveningDojiStar, MorningDojiStar, GapSideBySideWhite, HighWave, Hikkake, HikkakeModified, HomingPigeon, OnNeck, InNeck, Thrusting, SeparatingLines, Kicking, KickingByLength, LadderBottom, MatHold, MatchingLow, LongLine, ShortLine, RisingThreeMethods, FallingThreeMethods, UpsideGapThreeMethods, DownsideGapThreeMethods, StalledPattern, StickSandwich, Takuri, ClosingMarubozu, OpeningMarubozu, TasukiGap, UniqueThreeRiver, ConcealingBabySwallow, OrderBookImbalanceTop1, OrderBookImbalanceFull, Microprice, QuotedSpread, DepthSlope, OrderBookImbalanceTopN, SignedVolume, CumulativeVolumeDelta, TradeImbalance, EffectiveSpread, RealizedSpread, KylesLambda, Footprint, FundingRate, FundingRateMean, FundingRateZScore, FundingBasis, OpenInterestDelta, OIPriceDivergence, OIWeighted, LongShortRatio, TakerBuySellRatio, LiquidationFeatures, TermStructureBasis, CalendarSpread, AdvanceDecline, AdvanceDeclineRatio, AdVolumeLine, McClellanOscillator, McClellanSummationIndex, Trin, BreadthThrust, NewHighsNewLows, HighLowIndex, PercentAboveMa, UpDownVolumeRatio, BullishPercentIndex, CumulativeVolumeIndex, AbsoluteBreadthIndex, TickIndex, SharpeRatio, SortinoRatio, CalmarRatio, OmegaRatio, MaxDrawdown, AverageDrawdown, DrawdownDuration, PainIndex, ValueAtRisk, ConditionalValueAtRisk, ProfitFactor, GainLossRatio, RecoveryFactor, KellyCriterion, TreynorRatio, InformationRatio, RenkoBars, KagiBars, PointAndFigureBars, Alpha, SessionVwap, OvernightGap, SeasonalZScore, TimeOfDayReturnProfile, IntradayVolatilityProfile, VolumeByTimeProfile, DayOfWeekProfile, AverageDailyRange, TurnOfMonth, SessionHighLow, SessionRange, OvernightIntradayReturn } = nativeBinding

 module.exports.version = version
 module.exports.SMA = SMA
@@ -652,3 +652,15 @@ module.exports.RenkoBars = RenkoBars
 module.exports.KagiBars = KagiBars
 module.exports.PointAndFigureBars = PointAndFigureBars
 module.exports.Alpha = Alpha
+module.exports.SessionVwap = SessionVwap
+module.exports.OvernightGap = OvernightGap
+module.exports.SeasonalZScore = SeasonalZScore
+module.exports.TimeOfDayReturnProfile = TimeOfDayReturnProfile
+module.exports.IntradayVolatilityProfile = IntradayVolatilityProfile
+module.exports.VolumeByTimeProfile = VolumeByTimeProfile
+module.exports.DayOfWeekProfile = DayOfWeekProfile
+module.exports.AverageDailyRange = AverageDailyRange
+module.exports.TurnOfMonth = TurnOfMonth
+module.exports.SessionHighLow = SessionHighLow
+module.exports.SessionRange = SessionRange
+module.exports.OvernightIntradayReturn = OvernightIntradayReturn
@@ -1,6 +1,6 @@
 {
  "name": "wickra-darwin-arm64",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (macOS Apple Silicon). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.darwin-arm64.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-darwin-x64",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (macOS Intel). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.darwin-x64.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-linux-arm64-gnu",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (linux arm64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.linux-arm64-gnu.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-linux-x64-gnu",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (linux x64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.linux-x64-gnu.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-win32-arm64-msvc",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (Windows arm64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.win32-arm64-msvc.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-win32-x64-msvc",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Native binding for wickra (Windows x64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.win32-x64-msvc.node",
  "files": [
@@ -1,12 +1,12 @@
 {
  "name": "wickra",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "wickra",
-      "version": "0.5.0",
+      "version": "0.5.1",
      "license": "MIT OR Apache-2.0",
      "devDependencies": {
        "@napi-rs/cli": "^2.18.0"
@@ -15,12 +15,12 @@
        "node": ">= 18"
      },
      "optionalDependencies": {
-        "wickra-darwin-arm64": "0.5.0",
-        "wickra-darwin-x64": "0.5.0",
-        "wickra-linux-arm64-gnu": "0.5.0",
-        "wickra-linux-x64-gnu": "0.5.0",
-        "wickra-win32-arm64-msvc": "0.5.0",
-        "wickra-win32-x64-msvc": "0.5.0"
+        "wickra-darwin-arm64": "0.5.1",
+        "wickra-darwin-x64": "0.5.1",
+        "wickra-linux-arm64-gnu": "0.5.1",
+        "wickra-linux-x64-gnu": "0.5.1",
+        "wickra-win32-arm64-msvc": "0.5.1",
+        "wickra-win32-x64-msvc": "0.5.1"
      }
    },
    "node_modules/@napi-rs/cli": {
@@ -41,8 +41,8 @@
      }
    },
    "node_modules/wickra-darwin-arm64": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-darwin-arm64/-/wickra-darwin-arm64-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-darwin-arm64/-/wickra-darwin-arm64-0.5.1.tgz",
      "integrity": "sha512-4eZiBR/yGUdr4nzhEUFy2i69XgNx64iI2ax/LPamsThgylC0KpHOZKK19QzJ2d9KbK4C8nMjME5FLuR+4GNEwQ==",
      "cpu": [
        "arm64"
@@ -57,8 +57,8 @@
      }
    },
    "node_modules/wickra-darwin-x64": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-darwin-x64/-/wickra-darwin-x64-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-darwin-x64/-/wickra-darwin-x64-0.5.1.tgz",
      "integrity": "sha512-6hf8zI3QPjTFp4zCpmgUwDvNtu6jHqNUHKD5e55POo0CgA52HkpyxSPtVm8TGTIZDI7kPjlbOdBM8CJ76mmXwA==",
      "cpu": [
        "x64"
@@ -73,8 +73,8 @@
      }
    },
    "node_modules/wickra-linux-arm64-gnu": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-linux-arm64-gnu/-/wickra-linux-arm64-gnu-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-linux-arm64-gnu/-/wickra-linux-arm64-gnu-0.5.1.tgz",
      "integrity": "sha512-kSe6y0xBMSiqdPLXNjwop5WZdHtvdBNKSEBCwZ4hFq33p4apW25/wrlzv9/oDuyD4kuPabJEhCCnFOplh58CUg==",
      "cpu": [
        "arm64"
@@ -89,8 +89,8 @@
      }
    },
    "node_modules/wickra-linux-x64-gnu": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-linux-x64-gnu/-/wickra-linux-x64-gnu-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-linux-x64-gnu/-/wickra-linux-x64-gnu-0.5.1.tgz",
      "integrity": "sha512-tWBWS4qz7hxM4xnpFb59bhf6TaLwXq0Z3jEa/2l7r8PiHA94g8r8S53NRMiT+4yiL5hSWe/nUiC/YXdRrhEZ4g==",
      "cpu": [
        "x64"
@@ -105,8 +105,8 @@
      }
    },
    "node_modules/wickra-win32-arm64-msvc": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-win32-arm64-msvc/-/wickra-win32-arm64-msvc-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-win32-arm64-msvc/-/wickra-win32-arm64-msvc-0.5.1.tgz",
      "integrity": "sha512-EXIckHxAtF75PUGDKRzXyqMe9ldP0JjSdu68WFN6iJfp+McYrGu6h40TEJlQ/oUEIoPqiZB/xhVyo/el5Lg7zw==",
      "cpu": [
        "arm64"
@@ -121,8 +121,8 @@
      }
    },
    "node_modules/wickra-win32-x64-msvc": {
-      "version": "0.5.0",
-      "resolved": "https://registry.npmjs.org/wickra-win32-x64-msvc/-/wickra-win32-x64-msvc-0.5.0.tgz",
+      "version": "0.5.1",
+      "resolved": "https://registry.npmjs.org/wickra-win32-x64-msvc/-/wickra-win32-x64-msvc-0.5.1.tgz",
      "integrity": "sha512-Yfsqq1Xwp6hdxMyLze411vNdo7BDwI6+lPSe7A9XdqyPecNDbtKwYLpsal2r8EHbNzqM+R8XnuRtUaEQS5VlUQ==",
      "cpu": [
        "x64"
@@ -1,6 +1,6 @@
 {
  "name": "wickra",
-  "version": "0.5.0",
+  "version": "0.5.1",
  "description": "Streaming-first technical indicators: incremental, fast, install-free. Node bindings powered by Rust.",
  "author": "kingchenc <support@wickra.org>",
  "main": "index.js",
@@ -47,12 +47,12 @@
    "node": ">= 18"
  },
  "optionalDependencies": {
-    "wickra-linux-x64-gnu": "0.5.0",
-    "wickra-linux-arm64-gnu": "0.5.0",
-    "wickra-darwin-x64": "0.5.0",
-    "wickra-darwin-arm64": "0.5.0",
-    "wickra-win32-x64-msvc": "0.5.0",
-    "wickra-win32-arm64-msvc": "0.5.0"
+    "wickra-linux-x64-gnu": "0.5.1",
+    "wickra-linux-arm64-gnu": "0.5.1",
+    "wickra-darwin-x64": "0.5.1",
+    "wickra-darwin-arm64": "0.5.1",
+    "wickra-win32-x64-msvc": "0.5.1",
+    "wickra-win32-arm64-msvc": "0.5.1"
  },
  "scripts": {
    "build": "napi build --platform --release",
@@ -13398,3 +13398,615 @@ impl AlphaNode {
        self.inner.warmup_period() as u32
    }
 }
+
+// ====================== Seasonality & Session (full-candle) ======================
+//
+// These read the wall-clock fields of `Candle::timestamp`, so the bindings take
+// the full candle (open, high, low, close, volume, timestamp) rather than the
+// high/low/close slice used by the candle indicators above.
+
+fn season_candles(
+    open: &[f64],
+    high: &[f64],
+    low: &[f64],
+    close: &[f64],
+    volume: &[f64],
+    timestamp: &[i64],
+) -> napi::Result<Vec<wc::Candle>> {
+    let n = open.len();
+    if [
+        high.len(),
+        low.len(),
+        close.len(),
+        volume.len(),
+        timestamp.len(),
+    ]
+    .iter()
+    .any(|&x| x != n)
+    {
+        return Err(NapiError::from_reason(
+            "open, high, low, close, volume, timestamp must be equal length".to_string(),
+        ));
+    }
+    let mut out = Vec::with_capacity(n);
+    for i in 0..n {
+        out.push(
+            wc::Candle::new(open[i], high[i], low[i], close[i], volume[i], timestamp[i])
+                .map_err(map_err)?,
+        );
+    }
+    Ok(out)
+}
+
+macro_rules! node_seasonality_offset_scalar {
+    ($wrapper:ident, $node_name:literal, $rust_ty:ty) => {
+        #[napi(js_name = $node_name)]
+        pub struct $wrapper {
+            inner: $rust_ty,
+        }
+        #[napi]
+        impl $wrapper {
+            #[napi(constructor)]
+            pub fn new(utc_offset_minutes: i32) -> Self {
+                Self {
+                    inner: <$rust_ty>::new(utc_offset_minutes),
+                }
+            }
+            #[napi]
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> napi::Result<Option<f64>> {
+                Ok(self.inner.update(
+                    wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?,
+                ))
+            }
+            #[napi]
+            pub fn batch(
+                &mut self,
+                open: Vec<f64>,
+                high: Vec<f64>,
+                low: Vec<f64>,
+                close: Vec<f64>,
+                volume: Vec<f64>,
+                timestamp: Vec<i64>,
+            ) -> napi::Result<Vec<f64>> {
+                let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                Ok(candles
+                    .into_iter()
+                    .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+                    .collect())
+            }
+            #[napi]
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[napi(js_name = "isReady")]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[napi(js_name = "warmupPeriod")]
+            pub fn warmup_period(&self) -> u32 {
+                self.inner.warmup_period() as u32
+            }
+            #[napi(js_name = "utcOffsetMinutes")]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+        }
+    };
+}
+
+macro_rules! node_seasonality_bucket_profile {
+    ($wrapper:ident, $node_name:literal, $rust_ty:ty) => {
+        #[napi(js_name = $node_name)]
+        pub struct $wrapper {
+            inner: $rust_ty,
+        }
+        #[napi]
+        impl $wrapper {
+            #[napi(constructor)]
+            pub fn new(buckets: u32, utc_offset_minutes: i32) -> napi::Result<Self> {
+                Ok(Self {
+                    inner: <$rust_ty>::new(buckets as usize, utc_offset_minutes)
+                        .map_err(map_err)?,
+                })
+            }
+            #[napi]
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> napi::Result<Option<Vec<f64>>> {
+                Ok(self
+                    .inner
+                    .update(
+                        wc::Candle::new(open, high, low, close, volume, timestamp)
+                            .map_err(map_err)?,
+                    )
+                    .map(|o| o.bins))
+            }
+            #[napi]
+            pub fn batch(
+                &mut self,
+                open: Vec<f64>,
+                high: Vec<f64>,
+                low: Vec<f64>,
+                close: Vec<f64>,
+                volume: Vec<f64>,
+                timestamp: Vec<i64>,
+            ) -> napi::Result<Vec<f64>> {
+                let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                let k = self.inner.params().0;
+                let n = candles.len();
+                let mut out = vec![f64::NAN; n * k];
+                for (i, c) in candles.into_iter().enumerate() {
+                    if let Some(o) = self.inner.update(c) {
+                        for (j, b) in o.bins.iter().enumerate() {
+                            out[i * k + j] = *b;
+                        }
+                    }
+                }
+                Ok(out)
+            }
+            #[napi]
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[napi(js_name = "isReady")]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[napi(js_name = "warmupPeriod")]
+            pub fn warmup_period(&self) -> u32 {
+                self.inner.warmup_period() as u32
+            }
+            #[napi(js_name = "buckets")]
+            pub fn buckets(&self) -> u32 {
+                self.inner.params().0 as u32
+            }
+            #[napi(js_name = "utcOffsetMinutes")]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.params().1
+            }
+        }
+    };
+}
+
+macro_rules! node_seasonality_offset_profile {
+    ($wrapper:ident, $node_name:literal, $rust_ty:ty, $k:expr) => {
+        #[napi(js_name = $node_name)]
+        pub struct $wrapper {
+            inner: $rust_ty,
+        }
+        #[napi]
+        impl $wrapper {
+            #[napi(constructor)]
+            pub fn new(utc_offset_minutes: i32) -> Self {
+                Self {
+                    inner: <$rust_ty>::new(utc_offset_minutes),
+                }
+            }
+            #[napi]
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> napi::Result<Option<Vec<f64>>> {
+                Ok(self
+                    .inner
+                    .update(
+                        wc::Candle::new(open, high, low, close, volume, timestamp)
+                            .map_err(map_err)?,
+                    )
+                    .map(|o| o.bins))
+            }
+            #[napi]
+            pub fn batch(
+                &mut self,
+                open: Vec<f64>,
+                high: Vec<f64>,
+                low: Vec<f64>,
+                close: Vec<f64>,
+                volume: Vec<f64>,
+                timestamp: Vec<i64>,
+            ) -> napi::Result<Vec<f64>> {
+                let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                let k = $k;
+                let n = candles.len();
+                let mut out = vec![f64::NAN; n * k];
+                for (i, c) in candles.into_iter().enumerate() {
+                    if let Some(o) = self.inner.update(c) {
+                        for (j, b) in o.bins.iter().enumerate() {
+                            out[i * k + j] = *b;
+                        }
+                    }
+                }
+                Ok(out)
+            }
+            #[napi]
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[napi(js_name = "isReady")]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[napi(js_name = "warmupPeriod")]
+            pub fn warmup_period(&self) -> u32 {
+                self.inner.warmup_period() as u32
+            }
+            #[napi(js_name = "utcOffsetMinutes")]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+        }
+    };
+}
+
+node_seasonality_offset_scalar!(SessionVwapNode, "SessionVwap", wc::SessionVwap);
+node_seasonality_offset_scalar!(OvernightGapNode, "OvernightGap", wc::OvernightGap);
+node_seasonality_offset_scalar!(SeasonalZScoreNode, "SeasonalZScore", wc::SeasonalZScore);
+node_seasonality_bucket_profile!(
+    TimeOfDayReturnProfileNode,
+    "TimeOfDayReturnProfile",
+    wc::TimeOfDayReturnProfile
+);
+node_seasonality_bucket_profile!(
+    IntradayVolatilityProfileNode,
+    "IntradayVolatilityProfile",
+    wc::IntradayVolatilityProfile
+);
+node_seasonality_bucket_profile!(
+    VolumeByTimeProfileNode,
+    "VolumeByTimeProfile",
+    wc::VolumeByTimeProfile
+);
+node_seasonality_offset_profile!(
+    DayOfWeekProfileNode,
+    "DayOfWeekProfile",
+    wc::DayOfWeekProfile,
+    7
+);
+
+#[napi(js_name = "AverageDailyRange")]
+pub struct AverageDailyRangeNode {
+    inner: wc::AverageDailyRange,
+}
+#[napi]
+impl AverageDailyRangeNode {
+    #[napi(constructor)]
+    pub fn new(period: u32, utc_offset_minutes: i32) -> napi::Result<Self> {
+        Ok(Self {
+            inner: wc::AverageDailyRange::new(period as usize, utc_offset_minutes)
+                .map_err(map_err)?,
+        })
+    }
+    #[napi]
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> napi::Result<Option<f64>> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?))
+    }
+    #[napi]
+    pub fn batch(
+        &mut self,
+        open: Vec<f64>,
+        high: Vec<f64>,
+        low: Vec<f64>,
+        close: Vec<f64>,
+        volume: Vec<f64>,
+        timestamp: Vec<i64>,
+    ) -> napi::Result<Vec<f64>> {
+        let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        Ok(candles
+            .into_iter()
+            .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+            .collect())
+    }
+    #[napi]
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[napi(js_name = "isReady")]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[napi(js_name = "warmupPeriod")]
+    pub fn warmup_period(&self) -> u32 {
+        self.inner.warmup_period() as u32
+    }
+}
+
+#[napi(js_name = "TurnOfMonth")]
+pub struct TurnOfMonthNode {
+    inner: wc::TurnOfMonth,
+}
+#[napi]
+impl TurnOfMonthNode {
+    #[napi(constructor)]
+    pub fn new(n_first: u32, n_last: u32, utc_offset_minutes: i32) -> napi::Result<Self> {
+        Ok(Self {
+            inner: wc::TurnOfMonth::new(n_first, n_last, utc_offset_minutes).map_err(map_err)?,
+        })
+    }
+    #[napi]
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> napi::Result<Option<f64>> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?))
+    }
+    #[napi]
+    pub fn batch(
+        &mut self,
+        open: Vec<f64>,
+        high: Vec<f64>,
+        low: Vec<f64>,
+        close: Vec<f64>,
+        volume: Vec<f64>,
+        timestamp: Vec<i64>,
+    ) -> napi::Result<Vec<f64>> {
+        let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        Ok(candles
+            .into_iter()
+            .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+            .collect())
+    }
+    #[napi]
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[napi(js_name = "isReady")]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[napi(js_name = "warmupPeriod")]
+    pub fn warmup_period(&self) -> u32 {
+        self.inner.warmup_period() as u32
+    }
+}
+
+#[napi(object)]
+pub struct SessionHighLowValue {
+    pub high: f64,
+    pub low: f64,
+}
+
+#[napi(js_name = "SessionHighLow")]
+pub struct SessionHighLowNode {
+    inner: wc::SessionHighLow,
+}
+#[napi]
+impl SessionHighLowNode {
+    #[napi(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::SessionHighLow::new(utc_offset_minutes),
+        }
+    }
+    #[napi]
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> napi::Result<Option<SessionHighLowValue>> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?)
+            .map(|o| SessionHighLowValue {
+                high: o.high,
+                low: o.low,
+            }))
+    }
+    #[napi]
+    pub fn batch(
+        &mut self,
+        open: Vec<f64>,
+        high: Vec<f64>,
+        low: Vec<f64>,
+        close: Vec<f64>,
+        volume: Vec<f64>,
+        timestamp: Vec<i64>,
+    ) -> napi::Result<Vec<f64>> {
+        let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 2];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 2] = o.high;
+                out[i * 2 + 1] = o.low;
+            }
+        }
+        Ok(out)
+    }
+    #[napi]
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[napi(js_name = "isReady")]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[napi(js_name = "warmupPeriod")]
+    pub fn warmup_period(&self) -> u32 {
+        self.inner.warmup_period() as u32
+    }
+}
+
+#[napi(object)]
+pub struct SessionRangeValue {
+    pub asia: f64,
+    pub eu: f64,
+    pub us: f64,
+}
+
+#[napi(js_name = "SessionRange")]
+pub struct SessionRangeNode {
+    inner: wc::SessionRange,
+}
+#[napi]
+impl SessionRangeNode {
+    #[napi(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::SessionRange::new(utc_offset_minutes),
+        }
+    }
+    #[napi]
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> napi::Result<Option<SessionRangeValue>> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?)
+            .map(|o| SessionRangeValue {
+                asia: o.asia,
+                eu: o.eu,
+                us: o.us,
+            }))
+    }
+    #[napi]
+    pub fn batch(
+        &mut self,
+        open: Vec<f64>,
+        high: Vec<f64>,
+        low: Vec<f64>,
+        close: Vec<f64>,
+        volume: Vec<f64>,
+        timestamp: Vec<i64>,
+    ) -> napi::Result<Vec<f64>> {
+        let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 3];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 3] = o.asia;
+                out[i * 3 + 1] = o.eu;
+                out[i * 3 + 2] = o.us;
+            }
+        }
+        Ok(out)
+    }
+    #[napi]
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[napi(js_name = "isReady")]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[napi(js_name = "warmupPeriod")]
+    pub fn warmup_period(&self) -> u32 {
+        self.inner.warmup_period() as u32
+    }
+}
+
+#[napi(object)]
+pub struct OvernightIntradayReturnValue {
+    pub overnight: f64,
+    pub intraday: f64,
+}
+
+#[napi(js_name = "OvernightIntradayReturn")]
+pub struct OvernightIntradayReturnNode {
+    inner: wc::OvernightIntradayReturn,
+}
+#[napi]
+impl OvernightIntradayReturnNode {
+    #[napi(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::OvernightIntradayReturn::new(utc_offset_minutes),
+        }
+    }
+    #[napi]
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> napi::Result<Option<OvernightIntradayReturnValue>> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?)
+            .map(|o| OvernightIntradayReturnValue {
+                overnight: o.overnight,
+                intraday: o.intraday,
+            }))
+    }
+    #[napi]
+    pub fn batch(
+        &mut self,
+        open: Vec<f64>,
+        high: Vec<f64>,
+        low: Vec<f64>,
+        close: Vec<f64>,
+        volume: Vec<f64>,
+        timestamp: Vec<i64>,
+    ) -> napi::Result<Vec<f64>> {
+        let candles = season_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 2];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 2] = o.overnight;
+                out[i * 2 + 1] = o.intraday;
+            }
+        }
+        Ok(out)
+    }
+    #[napi]
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[napi(js_name = "isReady")]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[napi(js_name = "warmupPeriod")]
+    pub fn warmup_period(&self) -> u32 {
+        self.inner.warmup_period() as u32
+    }
+}
@@ -4,7 +4,7 @@ build-backend = "maturin"

 [project]
 name = "wickra"
-version = "0.5.0"
+version = "0.5.1"
 description = "Streaming-first technical indicators: incremental, fast, install-free."
 readme = "README.md"
 license = "MIT OR Apache-2.0"
@@ -385,6 +385,19 @@ from ._wickra import (
    TreynorRatio,
    InformationRatio,
    Alpha,
+    # Seasonality & Session
+    SessionVwap,
+    SessionHighLow,
+    SessionRange,
+    AverageDailyRange,
+    OvernightGap,
+    OvernightIntradayReturn,
+    TurnOfMonth,
+    SeasonalZScore,
+    TimeOfDayReturnProfile,
+    DayOfWeekProfile,
+    IntradayVolatilityProfile,
+    VolumeByTimeProfile,
 )

 __all__ = [
@@ -749,4 +762,17 @@ __all__ = [
    "TreynorRatio",
    "InformationRatio",
    "Alpha",
+    # Seasonality & Session
+    "SessionVwap",
+    "SessionHighLow",
+    "SessionRange",
+    "AverageDailyRange",
+    "OvernightGap",
+    "OvernightIntradayReturn",
+    "TurnOfMonth",
+    "SeasonalZScore",
+    "TimeOfDayReturnProfile",
+    "DayOfWeekProfile",
+    "IntradayVolatilityProfile",
+    "VolumeByTimeProfile",
 ]
@@ -17243,6 +17243,593 @@ impl PyPointAndFigureBars {

 // ============================== Module ==============================

+// ====================== Seasonality & Session (full-candle) ======================
+//
+// These indicators read the wall-clock fields of `Candle::timestamp`, so the
+// bindings consume the FULL candle (open, high, low, close, volume, timestamp)
+// — unlike the high/low/close candle indicators above.
+
+fn build_seasonality_candles<'py>(
+    open: &PyReadonlyArray1<'py, f64>,
+    high: &PyReadonlyArray1<'py, f64>,
+    low: &PyReadonlyArray1<'py, f64>,
+    close: &PyReadonlyArray1<'py, f64>,
+    volume: &PyReadonlyArray1<'py, f64>,
+    timestamp: &PyReadonlyArray1<'py, i64>,
+) -> PyResult<Vec<wc::Candle>> {
+    let o = open
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let h = high
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let l = low
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let c = close
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let v = volume
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let t = timestamp
+        .as_slice()
+        .map_err(|_| PyValueError::new_err(NON_CONTIGUOUS))?;
+    let n = o.len();
+    if [h.len(), l.len(), c.len(), v.len(), t.len()]
+        .iter()
+        .any(|&x| x != n)
+    {
+        return Err(PyValueError::new_err(
+            "open, high, low, close, volume, timestamp must be equal length",
+        ));
+    }
+    let mut candles = Vec::with_capacity(n);
+    for i in 0..n {
+        candles.push(wc::Candle::new(o[i], h[i], l[i], c[i], v[i], t[i]).map_err(map_err)?);
+    }
+    Ok(candles)
+}
+
+macro_rules! py_seasonality_offset_scalar {
+    ($pytype:ident, $name:literal, $rust:ident) => {
+        #[pyclass(name = $name, module = "wickra._wickra", skip_from_py_object)]
+        #[derive(Clone)]
+        struct $pytype {
+            inner: wc::$rust,
+        }
+        #[pymethods]
+        impl $pytype {
+            #[new]
+            #[pyo3(signature = (utc_offset_minutes = 0))]
+            fn new(utc_offset_minutes: i32) -> Self {
+                Self {
+                    inner: wc::$rust::new(utc_offset_minutes),
+                }
+            }
+            fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
+                Ok(self.inner.update(extract_candle(candle)?))
+            }
+            #[allow(clippy::too_many_arguments)]
+            fn batch<'py>(
+                &mut self,
+                py: Python<'py>,
+                open: PyReadonlyArray1<'py, f64>,
+                high: PyReadonlyArray1<'py, f64>,
+                low: PyReadonlyArray1<'py, f64>,
+                close: PyReadonlyArray1<'py, f64>,
+                volume: PyReadonlyArray1<'py, f64>,
+                timestamp: PyReadonlyArray1<'py, i64>,
+            ) -> PyResult<Bound<'py, PyArray1<f64>>> {
+                let candles =
+                    build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                let out: Vec<f64> = candles
+                    .into_iter()
+                    .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+                    .collect();
+                Ok(out.into_pyarray(py))
+            }
+            #[getter]
+            fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+            fn reset(&mut self) {
+                self.inner.reset();
+            }
+            fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            fn __repr__(&self) -> String {
+                format!(
+                    "{}(utc_offset_minutes={})",
+                    $name,
+                    self.inner.utc_offset_minutes()
+                )
+            }
+        }
+    };
+}
+
+macro_rules! py_seasonality_bucket_profile {
+    ($pytype:ident, $name:literal, $rust:ident) => {
+        #[pyclass(name = $name, module = "wickra._wickra", skip_from_py_object)]
+        #[derive(Clone)]
+        struct $pytype {
+            inner: wc::$rust,
+        }
+        #[pymethods]
+        impl $pytype {
+            #[new]
+            #[pyo3(signature = (buckets = 24, utc_offset_minutes = 0))]
+            fn new(buckets: usize, utc_offset_minutes: i32) -> PyResult<Self> {
+                Ok(Self {
+                    inner: wc::$rust::new(buckets, utc_offset_minutes).map_err(map_err)?,
+                })
+            }
+            fn update<'py>(
+                &mut self,
+                py: Python<'py>,
+                candle: &Bound<'_, PyAny>,
+            ) -> PyResult<Option<Bound<'py, PyArray1<f64>>>> {
+                let c = extract_candle(candle)?;
+                Ok(self.inner.update(c).map(|o| o.bins.into_pyarray(py)))
+            }
+            #[allow(clippy::too_many_arguments)]
+            fn batch<'py>(
+                &mut self,
+                py: Python<'py>,
+                open: PyReadonlyArray1<'py, f64>,
+                high: PyReadonlyArray1<'py, f64>,
+                low: PyReadonlyArray1<'py, f64>,
+                close: PyReadonlyArray1<'py, f64>,
+                volume: PyReadonlyArray1<'py, f64>,
+                timestamp: PyReadonlyArray1<'py, i64>,
+            ) -> PyResult<Bound<'py, PyArray2<f64>>> {
+                let candles =
+                    build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                let k = self.inner.params().0;
+                let n = candles.len();
+                let mut out = vec![f64::NAN; n * k];
+                for (i, c) in candles.into_iter().enumerate() {
+                    if let Some(o) = self.inner.update(c) {
+                        for (j, b) in o.bins.iter().enumerate() {
+                            out[i * k + j] = *b;
+                        }
+                    }
+                }
+                Ok(numpy::ndarray::Array2::from_shape_vec((n, k), out)
+                    .expect("shape consistent")
+                    .into_pyarray(py))
+            }
+            #[getter]
+            fn params(&self) -> (usize, i32) {
+                self.inner.params()
+            }
+            fn reset(&mut self) {
+                self.inner.reset();
+            }
+            fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            fn __repr__(&self) -> String {
+                let (buckets, offset) = self.inner.params();
+                format!("{}(buckets={buckets}, utc_offset_minutes={offset})", $name)
+            }
+        }
+    };
+}
+
+macro_rules! py_seasonality_offset_profile {
+    ($pytype:ident, $name:literal, $rust:ident, $k:expr) => {
+        #[pyclass(name = $name, module = "wickra._wickra", skip_from_py_object)]
+        #[derive(Clone)]
+        struct $pytype {
+            inner: wc::$rust,
+        }
+        #[pymethods]
+        impl $pytype {
+            #[new]
+            #[pyo3(signature = (utc_offset_minutes = 0))]
+            fn new(utc_offset_minutes: i32) -> Self {
+                Self {
+                    inner: wc::$rust::new(utc_offset_minutes),
+                }
+            }
+            fn update<'py>(
+                &mut self,
+                py: Python<'py>,
+                candle: &Bound<'_, PyAny>,
+            ) -> PyResult<Option<Bound<'py, PyArray1<f64>>>> {
+                let c = extract_candle(candle)?;
+                Ok(self.inner.update(c).map(|o| o.bins.into_pyarray(py)))
+            }
+            #[allow(clippy::too_many_arguments)]
+            fn batch<'py>(
+                &mut self,
+                py: Python<'py>,
+                open: PyReadonlyArray1<'py, f64>,
+                high: PyReadonlyArray1<'py, f64>,
+                low: PyReadonlyArray1<'py, f64>,
+                close: PyReadonlyArray1<'py, f64>,
+                volume: PyReadonlyArray1<'py, f64>,
+                timestamp: PyReadonlyArray1<'py, i64>,
+            ) -> PyResult<Bound<'py, PyArray2<f64>>> {
+                let candles =
+                    build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+                let k = $k;
+                let n = candles.len();
+                let mut out = vec![f64::NAN; n * k];
+                for (i, c) in candles.into_iter().enumerate() {
+                    if let Some(o) = self.inner.update(c) {
+                        for (j, b) in o.bins.iter().enumerate() {
+                            out[i * k + j] = *b;
+                        }
+                    }
+                }
+                Ok(numpy::ndarray::Array2::from_shape_vec((n, k), out)
+                    .expect("shape consistent")
+                    .into_pyarray(py))
+            }
+            #[getter]
+            fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+            fn reset(&mut self) {
+                self.inner.reset();
+            }
+            fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            fn __repr__(&self) -> String {
+                format!(
+                    "{}(utc_offset_minutes={})",
+                    $name,
+                    self.inner.utc_offset_minutes()
+                )
+            }
+        }
+    };
+}
+
+py_seasonality_offset_scalar!(PySessionVwap, "SessionVwap", SessionVwap);
+py_seasonality_offset_scalar!(PyOvernightGap, "OvernightGap", OvernightGap);
+py_seasonality_offset_scalar!(PySeasonalZScore, "SeasonalZScore", SeasonalZScore);
+py_seasonality_bucket_profile!(
+    PyTimeOfDayReturnProfile,
+    "TimeOfDayReturnProfile",
+    TimeOfDayReturnProfile
+);
+py_seasonality_bucket_profile!(
+    PyIntradayVolatilityProfile,
+    "IntradayVolatilityProfile",
+    IntradayVolatilityProfile
+);
+py_seasonality_bucket_profile!(
+    PyVolumeByTimeProfile,
+    "VolumeByTimeProfile",
+    VolumeByTimeProfile
+);
+py_seasonality_offset_profile!(PyDayOfWeekProfile, "DayOfWeekProfile", DayOfWeekProfile, 7);
+
+#[pyclass(
+    name = "AverageDailyRange",
+    module = "wickra._wickra",
+    skip_from_py_object
+)]
+#[derive(Clone)]
+struct PyAverageDailyRange {
+    inner: wc::AverageDailyRange,
+}
+#[pymethods]
+impl PyAverageDailyRange {
+    #[new]
+    #[pyo3(signature = (period = 14, utc_offset_minutes = 0))]
+    fn new(period: usize, utc_offset_minutes: i32) -> PyResult<Self> {
+        Ok(Self {
+            inner: wc::AverageDailyRange::new(period, utc_offset_minutes).map_err(map_err)?,
+        })
+    }
+    fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
+        Ok(self.inner.update(extract_candle(candle)?))
+    }
+    #[allow(clippy::too_many_arguments)]
+    fn batch<'py>(
+        &mut self,
+        py: Python<'py>,
+        open: PyReadonlyArray1<'py, f64>,
+        high: PyReadonlyArray1<'py, f64>,
+        low: PyReadonlyArray1<'py, f64>,
+        close: PyReadonlyArray1<'py, f64>,
+        volume: PyReadonlyArray1<'py, f64>,
+        timestamp: PyReadonlyArray1<'py, i64>,
+    ) -> PyResult<Bound<'py, PyArray1<f64>>> {
+        let candles = build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let out: Vec<f64> = candles
+            .into_iter()
+            .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+            .collect();
+        Ok(out.into_pyarray(py))
+    }
+    #[getter]
+    fn params(&self) -> (usize, i32) {
+        self.inner.params()
+    }
+    fn reset(&mut self) {
+        self.inner.reset();
+    }
+    fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+    fn __repr__(&self) -> String {
+        let (period, offset) = self.inner.params();
+        format!("AverageDailyRange(period={period}, utc_offset_minutes={offset})")
+    }
+}
+
+#[pyclass(name = "TurnOfMonth", module = "wickra._wickra", skip_from_py_object)]
+#[derive(Clone)]
+struct PyTurnOfMonth {
+    inner: wc::TurnOfMonth,
+}
+#[pymethods]
+impl PyTurnOfMonth {
+    #[new]
+    #[pyo3(signature = (n_first = 3, n_last = 1, utc_offset_minutes = 0))]
+    fn new(n_first: u32, n_last: u32, utc_offset_minutes: i32) -> PyResult<Self> {
+        Ok(Self {
+            inner: wc::TurnOfMonth::new(n_first, n_last, utc_offset_minutes).map_err(map_err)?,
+        })
+    }
+    fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<f64>> {
+        Ok(self.inner.update(extract_candle(candle)?))
+    }
+    #[allow(clippy::too_many_arguments)]
+    fn batch<'py>(
+        &mut self,
+        py: Python<'py>,
+        open: PyReadonlyArray1<'py, f64>,
+        high: PyReadonlyArray1<'py, f64>,
+        low: PyReadonlyArray1<'py, f64>,
+        close: PyReadonlyArray1<'py, f64>,
+        volume: PyReadonlyArray1<'py, f64>,
+        timestamp: PyReadonlyArray1<'py, i64>,
+    ) -> PyResult<Bound<'py, PyArray1<f64>>> {
+        let candles = build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let out: Vec<f64> = candles
+            .into_iter()
+            .map(|c| self.inner.update(c).unwrap_or(f64::NAN))
+            .collect();
+        Ok(out.into_pyarray(py))
+    }
+    #[getter]
+    fn params(&self) -> (u32, u32, i32) {
+        self.inner.params()
+    }
+    fn reset(&mut self) {
+        self.inner.reset();
+    }
+    fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+    fn __repr__(&self) -> String {
+        let (n_first, n_last, offset) = self.inner.params();
+        format!("TurnOfMonth(n_first={n_first}, n_last={n_last}, utc_offset_minutes={offset})")
+    }
+}
+
+#[pyclass(
+    name = "SessionHighLow",
+    module = "wickra._wickra",
+    skip_from_py_object
+)]
+#[derive(Clone)]
+struct PySessionHighLow {
+    inner: wc::SessionHighLow,
+}
+#[pymethods]
+impl PySessionHighLow {
+    #[new]
+    #[pyo3(signature = (utc_offset_minutes = 0))]
+    fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::SessionHighLow::new(utc_offset_minutes),
+        }
+    }
+    fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
+        let c = extract_candle(candle)?;
+        Ok(self.inner.update(c).map(|o| (o.high, o.low)))
+    }
+    #[allow(clippy::too_many_arguments)]
+    fn batch<'py>(
+        &mut self,
+        py: Python<'py>,
+        open: PyReadonlyArray1<'py, f64>,
+        high: PyReadonlyArray1<'py, f64>,
+        low: PyReadonlyArray1<'py, f64>,
+        close: PyReadonlyArray1<'py, f64>,
+        volume: PyReadonlyArray1<'py, f64>,
+        timestamp: PyReadonlyArray1<'py, i64>,
+    ) -> PyResult<Bound<'py, PyArray2<f64>>> {
+        let candles = build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 2];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 2] = o.high;
+                out[i * 2 + 1] = o.low;
+            }
+        }
+        Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
+            .expect("shape consistent")
+            .into_pyarray(py))
+    }
+    #[getter]
+    fn utc_offset_minutes(&self) -> i32 {
+        self.inner.utc_offset_minutes()
+    }
+    fn reset(&mut self) {
+        self.inner.reset();
+    }
+    fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+    fn __repr__(&self) -> String {
+        format!(
+            "SessionHighLow(utc_offset_minutes={})",
+            self.inner.utc_offset_minutes()
+        )
+    }
+}
+
+#[pyclass(name = "SessionRange", module = "wickra._wickra", skip_from_py_object)]
+#[derive(Clone)]
+struct PySessionRange {
+    inner: wc::SessionRange,
+}
+#[pymethods]
+impl PySessionRange {
+    #[new]
+    #[pyo3(signature = (utc_offset_minutes = 0))]
+    fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::SessionRange::new(utc_offset_minutes),
+        }
+    }
+    fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64, f64)>> {
+        let c = extract_candle(candle)?;
+        Ok(self.inner.update(c).map(|o| (o.asia, o.eu, o.us)))
+    }
+    #[allow(clippy::too_many_arguments)]
+    fn batch<'py>(
+        &mut self,
+        py: Python<'py>,
+        open: PyReadonlyArray1<'py, f64>,
+        high: PyReadonlyArray1<'py, f64>,
+        low: PyReadonlyArray1<'py, f64>,
+        close: PyReadonlyArray1<'py, f64>,
+        volume: PyReadonlyArray1<'py, f64>,
+        timestamp: PyReadonlyArray1<'py, i64>,
+    ) -> PyResult<Bound<'py, PyArray2<f64>>> {
+        let candles = build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 3];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 3] = o.asia;
+                out[i * 3 + 1] = o.eu;
+                out[i * 3 + 2] = o.us;
+            }
+        }
+        Ok(numpy::ndarray::Array2::from_shape_vec((n, 3), out)
+            .expect("shape consistent")
+            .into_pyarray(py))
+    }
+    #[getter]
+    fn utc_offset_minutes(&self) -> i32 {
+        self.inner.utc_offset_minutes()
+    }
+    fn reset(&mut self) {
+        self.inner.reset();
+    }
+    fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+    fn __repr__(&self) -> String {
+        format!(
+            "SessionRange(utc_offset_minutes={})",
+            self.inner.utc_offset_minutes()
+        )
+    }
+}
+
+#[pyclass(
+    name = "OvernightIntradayReturn",
+    module = "wickra._wickra",
+    skip_from_py_object
+)]
+#[derive(Clone)]
+struct PyOvernightIntradayReturn {
+    inner: wc::OvernightIntradayReturn,
+}
+#[pymethods]
+impl PyOvernightIntradayReturn {
+    #[new]
+    #[pyo3(signature = (utc_offset_minutes = 0))]
+    fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            inner: wc::OvernightIntradayReturn::new(utc_offset_minutes),
+        }
+    }
+    fn update(&mut self, candle: &Bound<'_, PyAny>) -> PyResult<Option<(f64, f64)>> {
+        let c = extract_candle(candle)?;
+        Ok(self.inner.update(c).map(|o| (o.overnight, o.intraday)))
+    }
+    #[allow(clippy::too_many_arguments)]
+    fn batch<'py>(
+        &mut self,
+        py: Python<'py>,
+        open: PyReadonlyArray1<'py, f64>,
+        high: PyReadonlyArray1<'py, f64>,
+        low: PyReadonlyArray1<'py, f64>,
+        close: PyReadonlyArray1<'py, f64>,
+        volume: PyReadonlyArray1<'py, f64>,
+        timestamp: PyReadonlyArray1<'py, i64>,
+    ) -> PyResult<Bound<'py, PyArray2<f64>>> {
+        let candles = build_seasonality_candles(&open, &high, &low, &close, &volume, &timestamp)?;
+        let n = candles.len();
+        let mut out = vec![f64::NAN; n * 2];
+        for (i, c) in candles.into_iter().enumerate() {
+            if let Some(o) = self.inner.update(c) {
+                out[i * 2] = o.overnight;
+                out[i * 2 + 1] = o.intraday;
+            }
+        }
+        Ok(numpy::ndarray::Array2::from_shape_vec((n, 2), out)
+            .expect("shape consistent")
+            .into_pyarray(py))
+    }
+    #[getter]
+    fn utc_offset_minutes(&self) -> i32 {
+        self.inner.utc_offset_minutes()
+    }
+    fn reset(&mut self) {
+        self.inner.reset();
+    }
+    fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+    fn __repr__(&self) -> String {
+        format!(
+            "OvernightIntradayReturn(utc_offset_minutes={})",
+            self.inner.utc_offset_minutes()
+        )
+    }
+}
+
 #[pymodule]
 #[allow(clippy::too_many_lines)]
 fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
@@ -17596,5 +18183,18 @@ fn _wickra(_py: Python<'_>, m: &Bound<'_, PyModule>) -> PyResult<()> {
    m.add_class::<PyRocr100>()?;
    m.add_class::<PyLinRegIntercept>()?;
    m.add_class::<PyTsf>()?;
+    // Family 16: Seasonality & Session.
+    m.add_class::<PySessionVwap>()?;
+    m.add_class::<PySessionHighLow>()?;
+    m.add_class::<PySessionRange>()?;
+    m.add_class::<PyAverageDailyRange>()?;
+    m.add_class::<PyOvernightGap>()?;
+    m.add_class::<PyOvernightIntradayReturn>()?;
+    m.add_class::<PyTurnOfMonth>()?;
+    m.add_class::<PySeasonalZScore>()?;
+    m.add_class::<PyTimeOfDayReturnProfile>()?;
+    m.add_class::<PyDayOfWeekProfile>()?;
+    m.add_class::<PyIntradayVolatilityProfile>()?;
+    m.add_class::<PyVolumeByTimeProfile>()?;
    Ok(())
 }
@@ -0,0 +1,132 @@
+"""Streaming-vs-batch equivalence and reference values for the Seasonality &
+Session family.
+
+These indicators read the full candle (including ``timestamp``), so they have a
+dedicated test rather than joining the timestamp-less parametrize harness in
+``test_new_indicators.py``.
+"""
+
+import numpy as np
+import pytest
+
+import wickra as ta
+
+HOUR_MS = 3_600_000
+
+
+@pytest.fixture(scope="module")
+def candle_columns():
+    """240 hourly candles (10 days) with valid OHLCV and epoch-ms timestamps."""
+    n = 240
+    t = np.arange(n, dtype=np.float64)
+    close = 100.0 + np.sin(t * 0.3) * 5.0 + np.cos(t * 0.1) * 3.0
+    open_ = close + np.sin(t * 0.5) * 0.5
+    high = np.maximum(open_, close) + 1.0
+    low = np.minimum(open_, close) - 1.0
+    volume = 1000.0 + (t % 24) * 50.0
+    timestamp = (np.arange(n, dtype=np.int64)) * HOUR_MS
+    return open_, high, low, close, volume, timestamp
+
+
+def _candles(cols):
+    open_, high, low, close, volume, timestamp = cols
+    return [
+        (open_[i], high[i], low[i], close[i], volume[i], int(timestamp[i]))
+        for i in range(len(close))
+    ]
+
+
+def _check_scalar(make, cols):
+    candles = _candles(cols)
+    a, b = make(), make()
+    stream = np.array(
+        [np.nan if (v := a.update(c)) is None else v for c in candles],
+        dtype=np.float64,
+    )
+    batch = np.asarray(b.batch(*cols))
+    np.testing.assert_allclose(stream, batch, equal_nan=True, rtol=1e-9, atol=1e-9)
+
+
+def _check_matrix(make, k, cols):
+    candles = _candles(cols)
+    a, b = make(), make()
+    rows = []
+    for c in candles:
+        out = a.update(c)
+        rows.append(np.full(k, np.nan) if out is None else np.asarray(out, dtype=float))
+    stream = np.vstack(rows)
+    batch = np.asarray(b.batch(*cols))
+    assert batch.shape == (len(candles), k)
+    np.testing.assert_allclose(stream, batch, equal_nan=True, rtol=1e-9, atol=1e-9)
+
+
+SCALAR = [
+    lambda: ta.SessionVwap(0),
+    lambda: ta.OvernightGap(0),
+    lambda: ta.SeasonalZScore(0),
+    lambda: ta.AverageDailyRange(3, 0),
+    lambda: ta.TurnOfMonth(3, 1, 0),
+]
+
+MATRIX = [
+    (lambda: ta.SessionHighLow(0), 2),
+    (lambda: ta.SessionRange(0), 3),
+    (lambda: ta.OvernightIntradayReturn(0), 2),
+    (lambda: ta.TimeOfDayReturnProfile(24, 0), 24),
+    (lambda: ta.IntradayVolatilityProfile(12, 0), 12),
+    (lambda: ta.VolumeByTimeProfile(24, 0), 24),
+    (lambda: ta.DayOfWeekProfile(0), 7),
+]
+
+
+@pytest.mark.parametrize("make", SCALAR)
+def test_scalar_streaming_equals_batch(make, candle_columns):
+    _check_scalar(make, candle_columns)
+
+
+@pytest.mark.parametrize("make,k", MATRIX)
+def test_matrix_streaming_equals_batch(make, k, candle_columns):
+    _check_matrix(make, k, candle_columns)
+
+
+def test_session_vwap_reference():
+    vwap = ta.SessionVwap(0)
+    # typical = close for a flat candle; volume-weighted within the day.
+    v1 = vwap.update((100.0, 100.0, 100.0, 100.0, 10.0, 0))
+    assert v1 == pytest.approx(100.0)
+    v2 = vwap.update((110.0, 110.0, 110.0, 110.0, 30.0, HOUR_MS))
+    assert v2 == pytest.approx(107.5)
+    # New day re-anchors.
+    v3 = vwap.update((200.0, 200.0, 200.0, 200.0, 5.0, 24 * HOUR_MS))
+    assert v3 == pytest.approx(200.0)
+
+
+def test_overnight_gap_reference():
+    gap = ta.OvernightGap(0)
+    assert gap.update((99.0, 101.0, 98.0, 100.0, 1.0, 0)) is None
+    g = gap.update((105.0, 106.0, 104.0, 105.5, 1.0, 24 * HOUR_MS))
+    assert g == pytest.approx(0.05)
+
+
+def test_session_high_low_reference():
+    shl = ta.SessionHighLow(0)
+    shl.update((100.0, 105.0, 99.0, 101.0, 1.0, 0))
+    out = shl.update((101.0, 108.0, 100.0, 107.0, 1.0, HOUR_MS))
+    assert out == (108.0, 99.0)
+
+
+def test_volume_by_time_profile_reference():
+    prof = ta.VolumeByTimeProfile(24, 0)
+    out = prof.update((100.0, 100.0, 100.0, 100.0, 500.0, HOUR_MS))  # 01:00 -> bucket 1
+    assert out[1] == pytest.approx(500.0)
+    assert out[0] == pytest.approx(0.0)
+
+
+def test_rejects_zero_buckets():
+    with pytest.raises(ValueError):
+        ta.TimeOfDayReturnProfile(0, 0)
+
+
+def test_average_daily_range_rejects_zero_period():
+    with pytest.raises(ValueError):
+        ta.AverageDailyRange(0, 0)
@@ -10226,3 +10226,390 @@ impl WasmAlpha {
        self.inner.warmup_period()
    }
 }
+
+// ====================== Seasonality & Session (full-candle) ======================
+//
+// These read the wall-clock fields of `Candle::timestamp`. JS passes `timestamp`
+// as a BigInt (epoch milliseconds). Following the multi-input precedent
+// (microstructure / derivatives), WASM exposes streaming `update` only — no
+// batch over ragged multi-arrays.
+
+macro_rules! wasm_seasonality_offset_scalar {
+    ($wrapper:ident, $js:ident, $rust:ty) => {
+        #[wasm_bindgen(js_name = $js)]
+        pub struct $wrapper {
+            inner: $rust,
+        }
+        #[wasm_bindgen(js_class = $js)]
+        impl $wrapper {
+            #[wasm_bindgen(constructor)]
+            pub fn new(utc_offset_minutes: i32) -> $wrapper {
+                Self {
+                    inner: <$rust>::new(utc_offset_minutes),
+                }
+            }
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> Result<Option<f64>, JsError> {
+                Ok(self.inner.update(
+                    wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?,
+                ))
+            }
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[wasm_bindgen(js_name = isReady)]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[wasm_bindgen(js_name = warmupPeriod)]
+            pub fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            #[wasm_bindgen(js_name = utcOffsetMinutes)]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+        }
+    };
+}
+
+macro_rules! wasm_seasonality_bucket_profile {
+    ($wrapper:ident, $js:ident, $rust:ty) => {
+        #[wasm_bindgen(js_name = $js)]
+        pub struct $wrapper {
+            inner: $rust,
+        }
+        #[wasm_bindgen(js_class = $js)]
+        impl $wrapper {
+            #[wasm_bindgen(constructor)]
+            pub fn new(buckets: usize, utc_offset_minutes: i32) -> Result<$wrapper, JsError> {
+                Ok(Self {
+                    inner: <$rust>::new(buckets, utc_offset_minutes).map_err(map_err)?,
+                })
+            }
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> Result<JsValue, JsError> {
+                let c =
+                    wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?;
+                Ok(match self.inner.update(c) {
+                    Some(o) => Float64Array::from(o.bins.as_slice()).into(),
+                    None => JsValue::NULL,
+                })
+            }
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[wasm_bindgen(js_name = isReady)]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[wasm_bindgen(js_name = warmupPeriod)]
+            pub fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            #[wasm_bindgen(js_name = utcOffsetMinutes)]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.params().1
+            }
+        }
+    };
+}
+
+macro_rules! wasm_seasonality_offset_profile {
+    ($wrapper:ident, $js:ident, $rust:ty) => {
+        #[wasm_bindgen(js_name = $js)]
+        pub struct $wrapper {
+            inner: $rust,
+        }
+        #[wasm_bindgen(js_class = $js)]
+        impl $wrapper {
+            #[wasm_bindgen(constructor)]
+            pub fn new(utc_offset_minutes: i32) -> $wrapper {
+                Self {
+                    inner: <$rust>::new(utc_offset_minutes),
+                }
+            }
+            pub fn update(
+                &mut self,
+                open: f64,
+                high: f64,
+                low: f64,
+                close: f64,
+                volume: f64,
+                timestamp: i64,
+            ) -> Result<JsValue, JsError> {
+                let c =
+                    wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?;
+                Ok(match self.inner.update(c) {
+                    Some(o) => Float64Array::from(o.bins.as_slice()).into(),
+                    None => JsValue::NULL,
+                })
+            }
+            pub fn reset(&mut self) {
+                self.inner.reset();
+            }
+            #[wasm_bindgen(js_name = isReady)]
+            pub fn is_ready(&self) -> bool {
+                self.inner.is_ready()
+            }
+            #[wasm_bindgen(js_name = warmupPeriod)]
+            pub fn warmup_period(&self) -> usize {
+                self.inner.warmup_period()
+            }
+            #[wasm_bindgen(js_name = utcOffsetMinutes)]
+            pub fn utc_offset_minutes(&self) -> i32 {
+                self.inner.utc_offset_minutes()
+            }
+        }
+    };
+}
+
+wasm_seasonality_offset_scalar!(WasmSessionVwap, SessionVwap, wc::SessionVwap);
+wasm_seasonality_offset_scalar!(WasmOvernightGap, OvernightGap, wc::OvernightGap);
+wasm_seasonality_offset_scalar!(WasmSeasonalZScore, SeasonalZScore, wc::SeasonalZScore);
+wasm_seasonality_bucket_profile!(
+    WasmTimeOfDayReturnProfile,
+    TimeOfDayReturnProfile,
+    wc::TimeOfDayReturnProfile
+);
+wasm_seasonality_bucket_profile!(
+    WasmIntradayVolatilityProfile,
+    IntradayVolatilityProfile,
+    wc::IntradayVolatilityProfile
+);
+wasm_seasonality_bucket_profile!(
+    WasmVolumeByTimeProfile,
+    VolumeByTimeProfile,
+    wc::VolumeByTimeProfile
+);
+wasm_seasonality_offset_profile!(WasmDayOfWeekProfile, DayOfWeekProfile, wc::DayOfWeekProfile);
+
+#[wasm_bindgen(js_name = AverageDailyRange)]
+pub struct WasmAverageDailyRange {
+    inner: wc::AverageDailyRange,
+}
+#[wasm_bindgen(js_class = AverageDailyRange)]
+impl WasmAverageDailyRange {
+    #[wasm_bindgen(constructor)]
+    pub fn new(period: usize, utc_offset_minutes: i32) -> Result<WasmAverageDailyRange, JsError> {
+        Ok(Self {
+            inner: wc::AverageDailyRange::new(period, utc_offset_minutes).map_err(map_err)?,
+        })
+    }
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> Result<Option<f64>, JsError> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?))
+    }
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[wasm_bindgen(js_name = isReady)]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[wasm_bindgen(js_name = warmupPeriod)]
+    pub fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+}
+
+#[wasm_bindgen(js_name = TurnOfMonth)]
+pub struct WasmTurnOfMonth {
+    inner: wc::TurnOfMonth,
+}
+#[wasm_bindgen(js_class = TurnOfMonth)]
+impl WasmTurnOfMonth {
+    #[wasm_bindgen(constructor)]
+    pub fn new(
+        n_first: u32,
+        n_last: u32,
+        utc_offset_minutes: i32,
+    ) -> Result<WasmTurnOfMonth, JsError> {
+        Ok(Self {
+            inner: wc::TurnOfMonth::new(n_first, n_last, utc_offset_minutes).map_err(map_err)?,
+        })
+    }
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> Result<Option<f64>, JsError> {
+        Ok(self
+            .inner
+            .update(wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?))
+    }
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[wasm_bindgen(js_name = isReady)]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[wasm_bindgen(js_name = warmupPeriod)]
+    pub fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+}
+
+#[wasm_bindgen(js_name = SessionHighLow)]
+pub struct WasmSessionHighLow {
+    inner: wc::SessionHighLow,
+}
+#[wasm_bindgen(js_class = SessionHighLow)]
+impl WasmSessionHighLow {
+    #[wasm_bindgen(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> WasmSessionHighLow {
+        Self {
+            inner: wc::SessionHighLow::new(utc_offset_minutes),
+        }
+    }
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> Result<JsValue, JsError> {
+        let c = wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?;
+        Ok(match self.inner.update(c) {
+            Some(o) => {
+                let obj = Object::new();
+                Reflect::set(&obj, &"high".into(), &o.high.into()).ok();
+                Reflect::set(&obj, &"low".into(), &o.low.into()).ok();
+                obj.into()
+            }
+            None => JsValue::NULL,
+        })
+    }
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[wasm_bindgen(js_name = isReady)]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[wasm_bindgen(js_name = warmupPeriod)]
+    pub fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+}
+
+#[wasm_bindgen(js_name = SessionRange)]
+pub struct WasmSessionRange {
+    inner: wc::SessionRange,
+}
+#[wasm_bindgen(js_class = SessionRange)]
+impl WasmSessionRange {
+    #[wasm_bindgen(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> WasmSessionRange {
+        Self {
+            inner: wc::SessionRange::new(utc_offset_minutes),
+        }
+    }
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> Result<JsValue, JsError> {
+        let c = wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?;
+        Ok(match self.inner.update(c) {
+            Some(o) => {
+                let obj = Object::new();
+                Reflect::set(&obj, &"asia".into(), &o.asia.into()).ok();
+                Reflect::set(&obj, &"eu".into(), &o.eu.into()).ok();
+                Reflect::set(&obj, &"us".into(), &o.us.into()).ok();
+                obj.into()
+            }
+            None => JsValue::NULL,
+        })
+    }
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[wasm_bindgen(js_name = isReady)]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[wasm_bindgen(js_name = warmupPeriod)]
+    pub fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+}
+
+#[wasm_bindgen(js_name = OvernightIntradayReturn)]
+pub struct WasmOvernightIntradayReturn {
+    inner: wc::OvernightIntradayReturn,
+}
+#[wasm_bindgen(js_class = OvernightIntradayReturn)]
+impl WasmOvernightIntradayReturn {
+    #[wasm_bindgen(constructor)]
+    pub fn new(utc_offset_minutes: i32) -> WasmOvernightIntradayReturn {
+        Self {
+            inner: wc::OvernightIntradayReturn::new(utc_offset_minutes),
+        }
+    }
+    pub fn update(
+        &mut self,
+        open: f64,
+        high: f64,
+        low: f64,
+        close: f64,
+        volume: f64,
+        timestamp: i64,
+    ) -> Result<JsValue, JsError> {
+        let c = wc::Candle::new(open, high, low, close, volume, timestamp).map_err(map_err)?;
+        Ok(match self.inner.update(c) {
+            Some(o) => {
+                let obj = Object::new();
+                Reflect::set(&obj, &"overnight".into(), &o.overnight.into()).ok();
+                Reflect::set(&obj, &"intraday".into(), &o.intraday.into()).ok();
+                obj.into()
+            }
+            None => JsValue::NULL,
+        })
+    }
+    pub fn reset(&mut self) {
+        self.inner.reset();
+    }
+    #[wasm_bindgen(js_name = isReady)]
+    pub fn is_ready(&self) -> bool {
+        self.inner.is_ready()
+    }
+    #[wasm_bindgen(js_name = warmupPeriod)]
+    pub fn warmup_period(&self) -> usize {
+        self.inner.warmup_period()
+    }
+}
@@ -0,0 +1,203 @@
+//! Pure calendar arithmetic for the timestamp-driven seasonality indicators.
+//!
+//! Every indicator in the *Seasonality & Session* family keys off the wall-clock
+//! fields of [`Candle::timestamp`](crate::Candle) (epoch milliseconds), shifted
+//! by a caller-supplied `utc_offset_minutes` so the buckets line up with the
+//! relevant exchange session rather than UTC. This module turns an epoch
+//! millisecond instant into its civil fields using Howard Hinnant's
+//! branch-light `civil_from_days` algorithm (the same one libc++ ships).
+//!
+//! All arithmetic is floor-based (`div_euclid`/`rem_euclid`) so instants before
+//! the Unix epoch decompose correctly without a dedicated negative-input branch.
+
+/// Civil (wall-clock) decomposition of an epoch-millisecond instant.
+#[derive(Debug, Clone, Copy, PartialEq, Eq)]
+pub(crate) struct CivilTime {
+    /// Proleptic Gregorian year (can be negative for instants before year 1).
+    pub(crate) year: i64,
+    /// Month of year, `1..=12`.
+    pub(crate) month: u32,
+    /// Day of month, `1..=31`.
+    pub(crate) day: u32,
+    /// Hour of day, `0..=23`.
+    pub(crate) hour: u32,
+    /// Minute of hour, `0..=59`.
+    pub(crate) minute: u32,
+    /// Day of week with Monday as `0` through Sunday as `6`.
+    pub(crate) weekday: u32,
+}
+
+impl CivilTime {
+    /// Minute of day, `0..=1439`.
+    pub(crate) const fn minute_of_day(&self) -> u32 {
+        self.hour * 60 + self.minute
+    }
+}
+
+/// Decompose an epoch-millisecond instant into local civil fields.
+///
+/// `utc_offset_minutes` shifts the instant before decomposition: `0` yields
+/// UTC, `-300` U.S. Eastern standard time, `60` Central European time, etc.
+pub(crate) fn civil_from_timestamp(millis: i64, utc_offset_minutes: i32) -> CivilTime {
+    let local_secs = millis.div_euclid(1000) + i64::from(utc_offset_minutes) * 60;
+    let days = local_secs.div_euclid(86_400);
+    let secs_of_day = local_secs.rem_euclid(86_400);
+    let hour = (secs_of_day / 3600) as u32;
+    let minute = ((secs_of_day % 3600) / 60) as u32;
+    let (year, month, day) = civil_from_days(days);
+    // 1970-01-01 was a Thursday; Monday-based weekday is `(z + 3) mod 7`.
+    let weekday = (days + 3).rem_euclid(7) as u32;
+    CivilTime {
+        year,
+        month,
+        day,
+        hour,
+        minute,
+        weekday,
+    }
+}
+
+/// Gregorian `(year, month, day)` for a day count `z` relative to 1970-01-01.
+///
+/// Howard Hinnant, "chrono-Compatible Low-Level Date Algorithms".
+fn civil_from_days(z: i64) -> (i64, u32, u32) {
+    let z = z + 719_468;
+    let era = if z >= 0 { z } else { z - 146_096 } / 146_097;
+    let doe = z - era * 146_097; // [0, 146096]
+    let yoe = (doe - doe / 1460 + doe / 36_524 - doe / 146_096) / 365; // [0, 399]
+    let year = yoe + era * 400;
+    let doy = doe - (365 * yoe + yoe / 4 - yoe / 100); // [0, 365]
+    let mp = (5 * doy + 2) / 153; // [0, 11]
+    let day = (doy - (153 * mp + 2) / 5 + 1) as u32; // [1, 31]
+    let month = if mp < 10 { mp + 3 } else { mp - 9 } as u32; // [1, 12]
+    (if month <= 2 { year + 1 } else { year }, month, day)
+}
+
+/// Whether `year` is a Gregorian leap year.
+pub(crate) const fn is_leap(year: i64) -> bool {
+    (year % 4 == 0 && year % 100 != 0) || year % 400 == 0
+}
+
+/// Number of days in `month` (`1..=12`) of `year`.
+pub(crate) const fn days_in_month(year: i64, month: u32) -> u32 {
+    match month {
+        1 | 3 | 5 | 7 | 8 | 10 | 12 => 31,
+        4 | 6 | 9 | 11 => 30,
+        _ => {
+            if is_leap(year) {
+                29
+            } else {
+                28
+            }
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn epoch_zero_is_thursday_midnight() {
+        let t = civil_from_timestamp(0, 0);
+        assert_eq!(
+            t,
+            CivilTime {
+                year: 1970,
+                month: 1,
+                day: 1,
+                hour: 0,
+                minute: 0,
+                weekday: 3, // Thursday
+            }
+        );
+        assert_eq!(t.minute_of_day(), 0);
+    }
+
+    #[test]
+    fn known_utc_instant_mid_year() {
+        // 2021-06-15 13:45:00 UTC = 1623764700 s.
+        let t = civil_from_timestamp(1_623_764_700_000, 0);
+        assert_eq!(t.year, 2021);
+        assert_eq!(t.month, 6);
+        assert_eq!(t.day, 15);
+        assert_eq!(t.hour, 13);
+        assert_eq!(t.minute, 45);
+        assert_eq!(t.weekday, 1); // Tuesday
+        assert_eq!(t.minute_of_day(), 13 * 60 + 45);
+    }
+
+    #[test]
+    fn new_year_2021_is_friday() {
+        // 2021-01-01 00:00:00 UTC = 1609459200 s — exercises the m<=2 year bump.
+        let t = civil_from_timestamp(1_609_459_200_000, 0);
+        assert_eq!((t.year, t.month, t.day), (2021, 1, 1));
+        assert_eq!(t.weekday, 4); // Friday
+    }
+
+    #[test]
+    fn positive_offset_rolls_to_next_day() {
+        // 2021-01-01 23:30 UTC shifted +60 min -> 2021-01-02 00:30 local.
+        let base = 1_609_459_200_000 + (23 * 3600 + 30 * 60) * 1000;
+        let t = civil_from_timestamp(base, 60);
+        assert_eq!((t.year, t.month, t.day), (2021, 1, 2));
+        assert_eq!((t.hour, t.minute), (0, 30));
+        assert_eq!(t.weekday, 5); // Saturday
+    }
+
+    #[test]
+    fn negative_offset_rolls_to_previous_day() {
+        // 2021-01-01 00:30 UTC shifted -60 min -> 2020-12-31 23:30 local.
+        let base = 1_609_459_200_000 + 30 * 60 * 1000;
+        let t = civil_from_timestamp(base, -60);
+        assert_eq!((t.year, t.month, t.day), (2020, 12, 31));
+        assert_eq!((t.hour, t.minute), (23, 30));
+        assert_eq!(t.weekday, 3); // Thursday
+    }
+
+    #[test]
+    fn sub_epoch_millis_floor_correctly() {
+        // -1 ms -> 1969-12-31 23:59:59.999, a Wednesday.
+        let t = civil_from_timestamp(-1, 0);
+        assert_eq!((t.year, t.month, t.day), (1969, 12, 31));
+        assert_eq!((t.hour, t.minute), (23, 59));
+        assert_eq!(t.weekday, 2); // Wednesday
+    }
+
+    #[test]
+    fn far_negative_day_count_hits_pre_era_branch() {
+        // A day count below -719468 drives `z + 719468` negative, exercising the
+        // `z - 146096` era branch in civil_from_days (year < 1).
+        let (year, month, day) = civil_from_days(-1_000_000);
+        // -1_000_000 days before 1970-01-01 is 0768-02-04 BCE (proleptic
+        // Gregorian, astronomical year numbering where year 0 exists).
+        assert_eq!((year, month, day), (-768, 2, 4));
+    }
+
+    #[test]
+    fn leap_year_rules() {
+        assert!(is_leap(2000));
+        assert!(!is_leap(1900));
+        assert!(is_leap(2024));
+        assert!(!is_leap(2023));
+    }
+
+    #[test]
+    fn days_in_month_all_cases() {
+        assert_eq!(days_in_month(2023, 1), 31);
+        assert_eq!(days_in_month(2023, 4), 30);
+        assert_eq!(days_in_month(2023, 2), 28);
+        assert_eq!(days_in_month(2024, 2), 29);
+        assert_eq!(days_in_month(2023, 12), 31);
+        assert_eq!(days_in_month(2023, 11), 30);
+    }
+
+    #[test]
+    fn leap_day_decodes() {
+        // 2024-02-29 12:00 UTC.
+        let secs = 1_709_208_000; // 2024-02-29T12:00:00Z
+        let t = civil_from_timestamp(secs * 1000, 0);
+        assert_eq!((t.year, t.month, t.day), (2024, 2, 29));
+        assert_eq!(t.hour, 12);
+    }
+}
@@ -0,0 +1,231 @@
+//! Average Daily Range (ADR) — the mean high-minus-low range of the last `period`
+//! completed calendar-day sessions.
+
+use std::collections::VecDeque;
+
+use crate::calendar::civil_from_timestamp;
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Average Daily Range over the last `period` completed sessions.
+///
+/// The indicator tracks the running high / low of the current session (the
+/// wall-clock day of [`Candle::timestamp`](crate::Candle) shifted by
+/// `utc_offset_minutes`). When a new day begins, the just-finished session's
+/// range (`high - low`) joins a rolling window of the last `period` completed
+/// days, and the reported value is their mean. The current, still-forming day is
+/// excluded until it closes. No value is produced until the first session
+/// completes.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, AverageDailyRange};
+///
+/// let hour = 3_600_000;
+/// let mut adr = AverageDailyRange::new(2, 0).unwrap();
+/// // Day 1 range 10 (high 110, low 100) — still forming, so None.
+/// assert!(adr.update(Candle::new(105.0, 110.0, 100.0, 108.0, 1.0, 0).unwrap()).is_none());
+/// // First bar of day 2 closes day 1: ADR = 10.
+/// let v = adr.update(Candle::new(108.0, 112.0, 106.0, 109.0, 1.0, 24 * hour).unwrap()).unwrap();
+/// assert!((v - 10.0).abs() < 1e-9);
+/// ```
+#[derive(Debug, Clone)]
+pub struct AverageDailyRange {
+    period: usize,
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    cur_high: f64,
+    cur_low: f64,
+    completed: VecDeque<f64>,
+    sum: f64,
+}
+
+impl AverageDailyRange {
+    /// Construct an ADR indicator over `period` completed days.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `period == 0`.
+    pub fn new(period: usize, utc_offset_minutes: i32) -> Result<Self> {
+        if period == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            period,
+            utc_offset_minutes,
+            day_key: None,
+            cur_high: f64::NEG_INFINITY,
+            cur_low: f64::INFINITY,
+            completed: VecDeque::with_capacity(period),
+            sum: 0.0,
+        })
+    }
+
+    /// Configured `(period, utc_offset_minutes)`.
+    pub const fn params(&self) -> (usize, i32) {
+        (self.period, self.utc_offset_minutes)
+    }
+
+    /// Most recent ADR if at least one session has completed.
+    pub fn value(&self) -> Option<f64> {
+        if self.completed.is_empty() {
+            None
+        } else {
+            Some(self.sum / self.completed.len() as f64)
+        }
+    }
+}
+
+impl Indicator for AverageDailyRange {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        match self.day_key {
+            Some(prev) if prev == key => {
+                if candle.high > self.cur_high {
+                    self.cur_high = candle.high;
+                }
+                if candle.low < self.cur_low {
+                    self.cur_low = candle.low;
+                }
+            }
+            Some(_) => {
+                let range = self.cur_high - self.cur_low;
+                self.completed.push_back(range);
+                self.sum += range;
+                if self.completed.len() > self.period {
+                    self.sum -= self
+                        .completed
+                        .pop_front()
+                        .expect("len > period implies a front element");
+                }
+                self.day_key = Some(key);
+                self.cur_high = candle.high;
+                self.cur_low = candle.low;
+            }
+            None => {
+                self.day_key = Some(key);
+                self.cur_high = candle.high;
+                self.cur_low = candle.low;
+            }
+        }
+        self.value()
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.cur_high = f64::NEG_INFINITY;
+        self.cur_low = f64::INFINITY;
+        self.completed.clear();
+        self.sum = 0.0;
+    }
+
+    fn warmup_period(&self) -> usize {
+        self.period
+    }
+
+    fn is_ready(&self) -> bool {
+        !self.completed.is_empty()
+    }
+
+    fn name(&self) -> &'static str {
+        "AverageDailyRange"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+    const DAY: i64 = 24 * HOUR;
+
+    fn c(high: f64, low: f64, ts: i64) -> Candle {
+        let mid = f64::midpoint(high, low);
+        Candle::new(mid, high, low, mid, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn rejects_zero_period() {
+        assert!(matches!(
+            AverageDailyRange::new(0, 0),
+            Err(Error::PeriodZero)
+        ));
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let adr = AverageDailyRange::new(5, -60).unwrap();
+        assert_eq!(adr.params(), (5, -60));
+        assert_eq!(adr.name(), "AverageDailyRange");
+        assert_eq!(adr.warmup_period(), 5);
+        assert!(!adr.is_ready());
+        assert!(adr.value().is_none());
+    }
+
+    #[test]
+    fn averages_completed_day_ranges() {
+        let mut adr = AverageDailyRange::new(3, 0).unwrap();
+        // Day 1: range 10.
+        assert!(adr.update(c(110.0, 100.0, 0)).is_none());
+        assert!(adr.update(c(108.0, 104.0, HOUR)).is_none());
+        // Day 2 opens -> day 1 (range 10) completes.
+        let v = adr.update(c(120.0, 110.0, DAY)).unwrap();
+        assert_relative_eq!(v, 10.0);
+        assert!(adr.is_ready());
+        // Day 3 opens -> day 2 (range 10) completes: mean of [10, 10] = 10.
+        let v = adr.update(c(130.0, 100.0, 2 * DAY)).unwrap();
+        assert_relative_eq!(v, 10.0);
+    }
+
+    #[test]
+    fn rolls_off_oldest_day_beyond_period() {
+        let mut adr = AverageDailyRange::new(2, 0).unwrap();
+        adr.update(c(110.0, 100.0, 0)); // day 1 range 10
+        let v = adr.update(c(125.0, 110.0, DAY)).unwrap(); // close day 1 -> [10]
+        assert_relative_eq!(v, 10.0);
+        // Close day 2 (range 125-110=15) -> window [10, 15], mean 12.5.
+        let v = adr.update(c(130.0, 110.0, 2 * DAY)).unwrap();
+        assert_relative_eq!(v, 12.5);
+        // Close day 3 (range 130-110=20) -> window [15, 20], oldest (10) rolled off.
+        let v = adr.update(c(140.0, 138.0, 3 * DAY)).unwrap();
+        assert_relative_eq!(v, 17.5);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut adr = AverageDailyRange::new(2, 0).unwrap();
+        adr.update(c(110.0, 100.0, 0));
+        adr.update(c(120.0, 110.0, DAY));
+        adr.reset();
+        assert!(!adr.is_ready());
+        assert!(adr.value().is_none());
+        assert!(adr.update(c(50.0, 40.0, 2 * DAY)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..60)
+            .map(|i| {
+                c(
+                    110.0 + f64::from(i % 5),
+                    100.0 - f64::from(i % 3),
+                    i64::from(i) * 6 * HOUR,
+                )
+            })
+            .collect();
+        let mut a = AverageDailyRange::new(4, 0).unwrap();
+        let mut b = AverageDailyRange::new(4, 0).unwrap();
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,202 @@
+//! Day-of-Week Profile — the mean bar return for each weekday.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+const DAYS: usize = 7;
+
+/// Day-of-Week Profile output: the per-weekday mean return.
+///
+/// `bins[i]` is the mean simple return of all bars whose local weekday was `i`,
+/// with Monday as `0` through Sunday as `6`. Weekdays with no bars read `0.0`.
+#[derive(Debug, Clone, PartialEq)]
+pub struct DayOfWeekProfileOutput {
+    /// Per-weekday mean return, Monday first. Always length 7.
+    pub bins: Vec<f64>,
+}
+
+/// Mean bar return bucketed by local weekday (Monday `0` .. Sunday `6`).
+///
+/// Each bar's simple return `close / previous_close - 1` is accumulated into the
+/// bucket of its local weekday (the wall-clock day of
+/// [`Candle::timestamp`](crate::Candle) shifted by `utc_offset_minutes`), and the
+/// profile reports the running mean per weekday. The first bar produces no output.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, DayOfWeekProfile};
+///
+/// let day = 24 * 3_600_000;
+/// let mut prof = DayOfWeekProfile::new(0);
+/// // 1970-01-01 was a Thursday (weekday 3).
+/// assert!(prof.update(Candle::new(100.0, 100.0, 100.0, 100.0, 1.0, 0).unwrap()).is_none());
+/// let out = prof.update(Candle::new(101.0, 101.0, 101.0, 101.0, 1.0, day).unwrap()).unwrap();
+/// assert_eq!(out.bins.len(), 7);
+/// ```
+#[derive(Debug, Clone)]
+pub struct DayOfWeekProfile {
+    utc_offset_minutes: i32,
+    prev_close: Option<f64>,
+    sum: [f64; DAYS],
+    count: [u64; DAYS],
+    last: Option<DayOfWeekProfileOutput>,
+}
+
+impl DayOfWeekProfile {
+    /// Construct a Day-of-Week Profile with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            prev_close: None,
+            sum: [0.0; DAYS],
+            count: [0; DAYS],
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent profile if at least one return has been recorded.
+    pub fn value(&self) -> Option<&DayOfWeekProfileOutput> {
+        self.last.as_ref()
+    }
+
+    fn snapshot(&self) -> DayOfWeekProfileOutput {
+        let bins = self
+            .sum
+            .iter()
+            .zip(&self.count)
+            .map(|(total, n)| if *n > 0 { total / *n as f64 } else { 0.0 })
+            .collect();
+        DayOfWeekProfileOutput { bins }
+    }
+}
+
+impl Indicator for DayOfWeekProfile {
+    type Input = Candle;
+    type Output = DayOfWeekProfileOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<DayOfWeekProfileOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let result = if let Some(prev) = self.prev_close {
+            let ret = if prev == 0.0 {
+                0.0
+            } else {
+                candle.close / prev - 1.0
+            };
+            let day = civil.weekday as usize;
+            self.sum[day] += ret;
+            self.count[day] += 1;
+            let out = self.snapshot();
+            self.last = Some(out.clone());
+            Some(out)
+        } else {
+            None
+        };
+        self.prev_close = Some(candle.close);
+        result
+    }
+
+    fn reset(&mut self) {
+        self.prev_close = None;
+        self.sum = [0.0; DAYS];
+        self.count = [0; DAYS];
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "DayOfWeekProfile"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const DAY: i64 = 24 * 3_600_000;
+
+    fn c(close: f64, ts: i64) -> Candle {
+        Candle::new(close, close, close, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let prof = DayOfWeekProfile::new(60);
+        assert_eq!(prof.utc_offset_minutes(), 60);
+        assert_eq!(prof.name(), "DayOfWeekProfile");
+        assert_eq!(prof.warmup_period(), 2);
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+    }
+
+    #[test]
+    fn buckets_by_weekday() {
+        let mut prof = DayOfWeekProfile::new(0);
+        // 1970-01-01 Thursday (3); 01-02 Friday (4).
+        assert!(prof.update(c(100.0, 0)).is_none());
+        let out = prof.update(c(101.0, DAY)).unwrap(); // Friday return +0.01
+        assert_eq!(out.bins.len(), 7);
+        assert_relative_eq!(out.bins[4], 0.01); // Friday
+        assert_relative_eq!(out.bins[3], 0.0); // Thursday had no return
+        assert!(prof.is_ready());
+    }
+
+    #[test]
+    fn averages_same_weekday_across_weeks() {
+        let mut prof = DayOfWeekProfile::new(0);
+        prof.update(c(100.0, 0)); // Thu
+        prof.update(c(101.0, DAY)); // Fri +0.01
+                                    // Jump to next Friday (7 days later from day 0 -> +7 days, weekday 4).
+        prof.update(c(100.0, 7 * DAY)); // Thu+? actually day 7 -> weekday (7+3)%7=3 Thu
+        let out = prof.update(c(103.0, 8 * DAY)).unwrap(); // day 8 -> Fri, return
+                                                           // Friday now has two samples; both positive.
+        assert!(out.bins[4] > 0.0);
+    }
+
+    #[test]
+    fn zero_prev_close_uses_zero_return() {
+        let mut prof = DayOfWeekProfile::new(0);
+        prof.update(c(0.0, 0));
+        let out = prof.update(c(5.0, DAY)).unwrap();
+        assert_relative_eq!(out.bins[4], 0.0); // Friday, guarded return 0
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut prof = DayOfWeekProfile::new(0);
+        prof.update(c(100.0, 0));
+        prof.update(c(101.0, DAY));
+        prof.reset();
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+        assert!(prof.update(c(100.0, 2 * DAY)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..30)
+            .map(|i| c(100.0 + f64::from(i % 5), i64::from(i) * DAY))
+            .collect();
+        let mut a = DayOfWeekProfile::new(0);
+        let mut b = DayOfWeekProfile::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,236 @@
+//! Intraday Volatility Profile — the return volatility in each intraday bucket.
+
+use crate::calendar::civil_from_timestamp;
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Intraday Volatility Profile output: the per-bucket return standard deviation.
+///
+/// `bins[i]` is the sample standard deviation of the simple returns of all bars
+/// whose local time-of-day fell in bucket `i`. Buckets with fewer than two
+/// samples read `0.0`.
+#[derive(Debug, Clone, PartialEq)]
+pub struct IntradayVolatilityProfileOutput {
+    /// Per-bucket return standard deviation, earliest bucket first.
+    pub bins: Vec<f64>,
+}
+
+/// Return volatility bucketed by local time of day.
+///
+/// The local day (the wall-clock day of [`Candle::timestamp`](crate::Candle)
+/// shifted by `utc_offset_minutes`) is split into `buckets` equal slices. Each
+/// bar's simple return `close / previous_close - 1` updates the per-bucket
+/// running variance (Welford), and the profile reports the per-bucket sample
+/// standard deviation. The first bar produces no output.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, IntradayVolatilityProfile};
+///
+/// let hour = 3_600_000;
+/// let mut prof = IntradayVolatilityProfile::new(24, 0).unwrap();
+/// assert!(prof.update(Candle::new(100.0, 100.0, 100.0, 100.0, 1.0, 0).unwrap()).is_none());
+/// let out = prof.update(Candle::new(101.0, 101.0, 101.0, 101.0, 1.0, hour).unwrap()).unwrap();
+/// assert_eq!(out.bins.len(), 24);
+/// ```
+#[derive(Debug, Clone)]
+pub struct IntradayVolatilityProfile {
+    buckets: usize,
+    utc_offset_minutes: i32,
+    prev_close: Option<f64>,
+    count: Vec<u64>,
+    mean: Vec<f64>,
+    m2: Vec<f64>,
+    last: Option<IntradayVolatilityProfileOutput>,
+}
+
+impl IntradayVolatilityProfile {
+    /// Construct an Intraday Volatility Profile with `buckets` intraday slices.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `buckets == 0`.
+    pub fn new(buckets: usize, utc_offset_minutes: i32) -> Result<Self> {
+        if buckets == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            buckets,
+            utc_offset_minutes,
+            prev_close: None,
+            count: vec![0; buckets],
+            mean: vec![0.0; buckets],
+            m2: vec![0.0; buckets],
+            last: None,
+        })
+    }
+
+    /// Configured `(buckets, utc_offset_minutes)`.
+    pub const fn params(&self) -> (usize, i32) {
+        (self.buckets, self.utc_offset_minutes)
+    }
+
+    /// Most recent profile if at least one return has been recorded.
+    pub fn value(&self) -> Option<&IntradayVolatilityProfileOutput> {
+        self.last.as_ref()
+    }
+
+    fn bucket_of(&self, minute_of_day: u32) -> usize {
+        let raw = (minute_of_day as usize * self.buckets) / 1440;
+        raw.min(self.buckets - 1)
+    }
+
+    fn snapshot(&self) -> IntradayVolatilityProfileOutput {
+        let bins = self
+            .count
+            .iter()
+            .zip(&self.m2)
+            .map(|(n, m2)| {
+                if *n >= 2 {
+                    (m2 / (*n - 1) as f64).sqrt()
+                } else {
+                    0.0
+                }
+            })
+            .collect();
+        IntradayVolatilityProfileOutput { bins }
+    }
+}
+
+impl Indicator for IntradayVolatilityProfile {
+    type Input = Candle;
+    type Output = IntradayVolatilityProfileOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<IntradayVolatilityProfileOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let result = if let Some(prev) = self.prev_close {
+            let ret = if prev == 0.0 {
+                0.0
+            } else {
+                candle.close / prev - 1.0
+            };
+            let bucket = self.bucket_of(civil.minute_of_day());
+            self.count[bucket] += 1;
+            let delta = ret - self.mean[bucket];
+            self.mean[bucket] += delta / self.count[bucket] as f64;
+            let delta2 = ret - self.mean[bucket];
+            self.m2[bucket] += delta * delta2;
+            let out = self.snapshot();
+            self.last = Some(out.clone());
+            Some(out)
+        } else {
+            None
+        };
+        self.prev_close = Some(candle.close);
+        result
+    }
+
+    fn reset(&mut self) {
+        self.prev_close = None;
+        self.count.iter_mut().for_each(|x| *x = 0);
+        self.mean.iter_mut().for_each(|x| *x = 0.0);
+        self.m2.iter_mut().for_each(|x| *x = 0.0);
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "IntradayVolatilityProfile"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+    const DAY: i64 = 24 * HOUR;
+
+    fn c(close: f64, ts: i64) -> Candle {
+        Candle::new(close, close, close, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn rejects_zero_buckets() {
+        assert!(matches!(
+            IntradayVolatilityProfile::new(0, 0),
+            Err(Error::PeriodZero)
+        ));
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let prof = IntradayVolatilityProfile::new(24, 90).unwrap();
+        assert_eq!(prof.params(), (24, 90));
+        assert_eq!(prof.name(), "IntradayVolatilityProfile");
+        assert_eq!(prof.warmup_period(), 2);
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+    }
+
+    #[test]
+    fn single_sample_bucket_has_zero_vol() {
+        let mut prof = IntradayVolatilityProfile::new(24, 0).unwrap();
+        assert!(prof.update(c(100.0, 0)).is_none());
+        let out = prof.update(c(101.0, HOUR)).unwrap();
+        assert_eq!(out.bins.len(), 24);
+        assert_relative_eq!(out.bins[1], 0.0); // only one sample in bucket 1
+        assert!(prof.is_ready());
+    }
+
+    #[test]
+    fn std_matches_manual_two_samples() {
+        let mut prof = IntradayVolatilityProfile::new(24, 0).unwrap();
+        prof.update(c(100.0, 0)); // 00:00
+        prof.update(c(101.0, HOUR)); // 01:00 r=0.01 into bucket 1
+                                     // Next day 01:00, r2 = 0.03 into bucket 1.
+        let out = prof.update(c(101.0 * 1.03, 25 * HOUR)).unwrap();
+        // sample std of {0.01, 0.03} = sqrt(((.01-.02)^2+(.03-.02)^2)/1) = 0.01414..
+        let mean = 0.02;
+        let expected = (((0.01_f64 - mean).powi(2) + (0.03 - mean).powi(2)) / 1.0).sqrt();
+        assert_relative_eq!(out.bins[1], expected, epsilon = 1e-9);
+    }
+
+    #[test]
+    fn zero_prev_close_uses_zero_return() {
+        let mut prof = IntradayVolatilityProfile::new(4, 0).unwrap();
+        prof.update(c(0.0, 0));
+        let out = prof.update(c(5.0, HOUR)).unwrap();
+        assert_relative_eq!(out.bins[0], 0.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut prof = IntradayVolatilityProfile::new(24, 0).unwrap();
+        prof.update(c(100.0, 0));
+        prof.update(c(101.0, HOUR));
+        prof.reset();
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+        assert!(prof.update(c(100.0, DAY)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..50)
+            .map(|i| c(100.0 + f64::from(i % 6), i64::from(i) * HOUR))
+            .collect();
+        let mut a = IntradayVolatilityProfile::new(12, 0).unwrap();
+        let mut b = IntradayVolatilityProfile::new(12, 0).unwrap();
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -29,6 +29,7 @@ mod atr;
 mod atr_bands;
 mod atr_trailing_stop;
 mod autocorrelation;
+mod average_daily_range;
 mod average_drawdown;
 mod avg_price;
 mod awesome_oscillator;
@@ -67,6 +68,7 @@ mod counterattack;
 mod cumulative_volume_index;
 mod cvd;
 mod cybernetic_cycle;
+mod day_of_week_profile;
 mod decycler;
 mod decycler_oscillator;
 mod dema;
@@ -136,6 +138,7 @@ mod inertia;
 mod information_ratio;
 mod initial_balance;
 mod instantaneous_trendline;
+mod intraday_volatility_profile;
 mod inverse_fisher_transform;
 mod inverted_hammer;
 mod jma;
@@ -202,6 +205,8 @@ mod on_neck;
 mod opening_marubozu;
 mod opening_range;
 mod ou_half_life;
+mod overnight_gap;
+mod overnight_intraday_return;
 mod pain_index;
 mod pair_spread_zscore;
 mod pairwise_beta;
@@ -242,7 +247,11 @@ mod rvi;
 mod rvi_volatility;
 mod rwi;
 mod sar_ext;
+mod seasonal_z_score;
 mod separating_lines;
+mod session_high_low;
+mod session_range;
+mod session_vwap;
 mod sharpe_ratio;
 mod shooting_star;
 mod short_line;
@@ -295,6 +304,7 @@ mod three_stars_in_south;
 mod thrusting;
 mod tick_index;
 mod tii;
+mod time_of_day_return_profile;
 mod tpo_profile;
 mod trade_imbalance;
 mod treynor_ratio;
@@ -306,6 +316,7 @@ mod tsf;
 mod tsi;
 mod tsv;
 mod ttm_squeeze;
+mod turn_of_month;
 mod tweezer;
 mod two_crows;
 mod typical_price;
@@ -322,6 +333,7 @@ mod variance_ratio;
 mod vertical_horizontal_filter;
 mod vidya;
 mod volty_stop;
+mod volume_by_time_profile;
 mod volume_oscillator;
 mod volume_profile;
 mod vortex;
@@ -368,6 +380,7 @@ pub use atr::Atr;
 pub use atr_bands::{AtrBands, AtrBandsOutput};
 pub use atr_trailing_stop::AtrTrailingStop;
 pub use autocorrelation::Autocorrelation;
+pub use average_daily_range::AverageDailyRange;
 pub use average_drawdown::AverageDrawdown;
 pub use avg_price::AvgPrice;
 pub use awesome_oscillator::AwesomeOscillator;
@@ -406,6 +419,7 @@ pub use counterattack::Counterattack;
 pub use cumulative_volume_index::CumulativeVolumeIndex;
 pub use cvd::CumulativeVolumeDelta;
 pub use cybernetic_cycle::CyberneticCycle;
+pub use day_of_week_profile::{DayOfWeekProfile, DayOfWeekProfileOutput};
 pub use decycler::Decycler;
 pub use decycler_oscillator::DecyclerOscillator;
 pub use dema::Dema;
@@ -475,6 +489,7 @@ pub use inertia::Inertia;
 pub use information_ratio::InformationRatio;
 pub use initial_balance::{InitialBalance, InitialBalanceOutput};
 pub use instantaneous_trendline::InstantaneousTrendline;
+pub use intraday_volatility_profile::{IntradayVolatilityProfile, IntradayVolatilityProfileOutput};
 pub use inverse_fisher_transform::InverseFisherTransform;
 pub use inverted_hammer::InvertedHammer;
 pub use jma::Jma;
@@ -541,6 +556,8 @@ pub use on_neck::OnNeck;
 pub use opening_marubozu::OpeningMarubozu;
 pub use opening_range::{OpeningRange, OpeningRangeOutput};
 pub use ou_half_life::OuHalfLife;
+pub use overnight_gap::OvernightGap;
+pub use overnight_intraday_return::{OvernightIntradayReturn, OvernightIntradayReturnOutput};
 pub use pain_index::PainIndex;
 pub use pair_spread_zscore::PairSpreadZScore;
 pub use pairwise_beta::PairwiseBeta;
@@ -581,7 +598,11 @@ pub use rvi::Rvi;
 pub use rvi_volatility::RviVolatility;
 pub use rwi::{Rwi, RwiOutput};
 pub use sar_ext::SarExt;
+pub use seasonal_z_score::SeasonalZScore;
 pub use separating_lines::SeparatingLines;
+pub use session_high_low::{SessionHighLow, SessionHighLowOutput};
+pub use session_range::{SessionRange, SessionRangeOutput};
+pub use session_vwap::SessionVwap;
 pub use sharpe_ratio::SharpeRatio;
 pub use shooting_star::ShootingStar;
 pub use short_line::ShortLine;
@@ -634,6 +655,7 @@ pub use three_stars_in_south::ThreeStarsInSouth;
 pub use thrusting::Thrusting;
 pub use tick_index::TickIndex;
 pub use tii::Tii;
+pub use time_of_day_return_profile::{TimeOfDayReturnProfile, TimeOfDayReturnProfileOutput};
 pub use tpo_profile::{TpoProfile, TpoProfileOutput};
 pub use trade_imbalance::TradeImbalance;
 pub use treynor_ratio::TreynorRatio;
@@ -645,6 +667,7 @@ pub use tsf::Tsf;
 pub use tsi::Tsi;
 pub use tsv::Tsv;
 pub use ttm_squeeze::{TtmSqueeze, TtmSqueezeOutput};
+pub use turn_of_month::TurnOfMonth;
 pub use tweezer::Tweezer;
 pub use two_crows::TwoCrows;
 pub use typical_price::TypicalPrice;
@@ -661,6 +684,7 @@ pub use variance_ratio::VarianceRatio;
 pub use vertical_horizontal_filter::VerticalHorizontalFilter;
 pub use vidya::Vidya;
 pub use volty_stop::VoltyStop;
+pub use volume_by_time_profile::{VolumeByTimeProfile, VolumeByTimeProfileOutput};
 pub use volume_oscillator::VolumeOscillator;
 pub use volume_profile::{VolumeProfile, VolumeProfileOutput};
 pub use vortex::{Vortex, VortexOutput};
@@ -1118,6 +1142,23 @@ pub const FAMILIES: &[(&str, &[&str])] = &[
            "TickIndex",
        ],
    ),
+    (
+        "Seasonality & Session",
+        &[
+            "SessionVwap",
+            "SessionHighLow",
+            "SessionRange",
+            "AverageDailyRange",
+            "OvernightGap",
+            "OvernightIntradayReturn",
+            "TurnOfMonth",
+            "SeasonalZScore",
+            "TimeOfDayReturnProfile",
+            "DayOfWeekProfile",
+            "IntradayVolatilityProfile",
+            "VolumeByTimeProfile",
+        ],
+    ),
 ];

 #[cfg(test)]
@@ -1146,6 +1187,6 @@ mod family_tests {
        // the actual indicator count is the early-warning signal that an
        // indicator was added without being assigned a family.
        let total: usize = FAMILIES.iter().map(|(_, ns)| ns.len()).sum();
-        assert_eq!(total, 339, "FAMILIES total drifted from indicator count");
+        assert_eq!(total, 351, "FAMILIES total drifted from indicator count");
    }
 }
@@ -0,0 +1,191 @@
+//! Overnight Gap — the return from the previous session's close to the current
+//! session's open, detected automatically at each day boundary.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Close-to-open overnight gap as a simple return.
+///
+/// At every local day boundary the indicator computes
+/// `open / previous_close - 1`, where `previous_close` is the close of the last
+/// bar of the prior session and `open` is the open of the first bar of the new
+/// session. The value holds for the rest of the session until the next boundary.
+/// The boundary is the wall-clock day of [`Candle::timestamp`](crate::Candle)
+/// shifted by `utc_offset_minutes`. The first session yields no gap (there is no
+/// prior close to compare against).
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, OvernightGap};
+///
+/// let hour = 3_600_000;
+/// let mut gap = OvernightGap::new(0);
+/// // Day 1 closes at 100.
+/// assert!(gap.update(Candle::new(99.0, 101.0, 98.0, 100.0, 1.0, 0).unwrap()).is_none());
+/// // Day 2 opens at 105 -> gap = 105 / 100 - 1 = 0.05.
+/// let g = gap.update(Candle::new(105.0, 106.0, 104.0, 105.5, 1.0, 24 * hour).unwrap()).unwrap();
+/// assert!((g - 0.05).abs() < 1e-9);
+/// ```
+#[derive(Debug, Clone)]
+pub struct OvernightGap {
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    last_close: Option<f64>,
+    gap: Option<f64>,
+}
+
+impl OvernightGap {
+    /// Construct an Overnight Gap indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            day_key: None,
+            last_close: None,
+            gap: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent overnight gap if at least one day boundary has been crossed.
+    pub const fn value(&self) -> Option<f64> {
+        self.gap
+    }
+}
+
+impl Indicator for OvernightGap {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        if self.day_key != Some(key) {
+            if let Some(prev_close) = self.last_close {
+                self.gap = Some(if prev_close == 0.0 {
+                    0.0
+                } else {
+                    candle.open / prev_close - 1.0
+                });
+            }
+            self.day_key = Some(key);
+        }
+        self.last_close = Some(candle.close);
+        self.gap
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.last_close = None;
+        self.gap = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.gap.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "OvernightGap"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(open: f64, close: f64, ts: i64) -> Candle {
+        let high = open.max(close);
+        let low = open.min(close);
+        Candle::new(open, high, low, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let gap = OvernightGap::new(330);
+        assert_eq!(gap.utc_offset_minutes(), 330);
+        assert_eq!(gap.name(), "OvernightGap");
+        assert_eq!(gap.warmup_period(), 2);
+        assert!(!gap.is_ready());
+        assert!(gap.value().is_none());
+    }
+
+    #[test]
+    fn first_session_has_no_gap() {
+        let mut gap = OvernightGap::new(0);
+        assert!(gap.update(c(99.0, 100.0, 0)).is_none());
+        // Same day, still no gap.
+        assert!(gap.update(c(100.0, 101.0, HOUR)).is_none());
+        assert!(!gap.is_ready());
+    }
+
+    #[test]
+    fn computes_gap_at_day_boundary() {
+        let mut gap = OvernightGap::new(0);
+        gap.update(c(99.0, 100.0, 0)); // day 1 closes 100
+        let g = gap.update(c(105.0, 105.5, 24 * HOUR)).unwrap();
+        assert_relative_eq!(g, 0.05);
+        assert!(gap.is_ready());
+        // Holds for the rest of the session.
+        let same = gap.update(c(106.0, 107.0, 25 * HOUR)).unwrap();
+        assert_relative_eq!(same, 0.05);
+    }
+
+    #[test]
+    fn negative_gap_down() {
+        let mut gap = OvernightGap::new(0);
+        gap.update(c(99.0, 100.0, 0));
+        let g = gap.update(c(90.0, 91.0, 24 * HOUR)).unwrap();
+        assert_relative_eq!(g, -0.1);
+    }
+
+    #[test]
+    fn zero_prev_close_yields_zero_gap() {
+        let mut gap = OvernightGap::new(0);
+        gap.update(c(0.0, 0.0, 0)); // degenerate day 1 closing at 0
+        let g = gap.update(c(5.0, 6.0, 24 * HOUR)).unwrap();
+        assert_relative_eq!(g, 0.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut gap = OvernightGap::new(0);
+        gap.update(c(99.0, 100.0, 0));
+        gap.update(c(105.0, 105.5, 24 * HOUR));
+        gap.reset();
+        assert!(!gap.is_ready());
+        assert!(gap.value().is_none());
+        assert!(gap.update(c(10.0, 11.0, 48 * HOUR)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..50)
+            .map(|i| {
+                c(
+                    100.0 + f64::from(i % 7),
+                    100.0 + f64::from(i % 5),
+                    i64::from(i) * 6 * HOUR,
+                )
+            })
+            .collect();
+        let mut a = OvernightGap::new(0);
+        let mut b = OvernightGap::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,225 @@
+//! Overnight vs. Intraday Return — decomposes a session's total return into its
+//! overnight (close-to-open) and intraday (open-to-close) components.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// The two return components of the current session.
+///
+/// `overnight` is fixed at the session open (`open / previous_close - 1`);
+/// `intraday` updates with every bar (`close / open - 1`). Compounding the two —
+/// `(1 + overnight)(1 + intraday) - 1` — reconstructs the full previous-close to
+/// latest-close return.
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub struct OvernightIntradayReturnOutput {
+    /// Close-to-open return carried into the session.
+    pub overnight: f64,
+    /// Open-to-latest-close return accumulated within the session.
+    pub intraday: f64,
+}
+
+/// Overnight / intraday return decomposition, re-anchored at each local day
+/// boundary of [`Candle::timestamp`](crate::Candle) shifted by
+/// `utc_offset_minutes`.
+///
+/// The first session yields no output (there is no prior close to anchor the
+/// overnight leg); from the second session onward every bar reports both
+/// components.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, OvernightIntradayReturn};
+///
+/// let hour = 3_600_000;
+/// let mut oi = OvernightIntradayReturn::new(0);
+/// // Day 1 closes at 100.
+/// assert!(oi.update(Candle::new(99.0, 101.0, 98.0, 100.0, 1.0, 0).unwrap()).is_none());
+/// // Day 2 opens 110 (overnight +10%), closes 121 (intraday +10%).
+/// let v = oi.update(Candle::new(110.0, 122.0, 109.0, 121.0, 1.0, 24 * hour).unwrap()).unwrap();
+/// assert!((v.overnight - 0.10).abs() < 1e-9);
+/// assert!((v.intraday - 0.10).abs() < 1e-9);
+/// ```
+#[derive(Debug, Clone)]
+pub struct OvernightIntradayReturn {
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    last_close: Option<f64>,
+    today_open: f64,
+    overnight: Option<f64>,
+    last: Option<OvernightIntradayReturnOutput>,
+}
+
+impl OvernightIntradayReturn {
+    /// Construct the indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            day_key: None,
+            last_close: None,
+            today_open: 0.0,
+            overnight: None,
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent decomposition if at least one day boundary has been crossed.
+    pub const fn value(&self) -> Option<OvernightIntradayReturnOutput> {
+        self.last
+    }
+}
+
+impl Indicator for OvernightIntradayReturn {
+    type Input = Candle;
+    type Output = OvernightIntradayReturnOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<OvernightIntradayReturnOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        if self.day_key != Some(key) {
+            if let Some(prev_close) = self.last_close {
+                self.overnight = Some(if prev_close == 0.0 {
+                    0.0
+                } else {
+                    candle.open / prev_close - 1.0
+                });
+            }
+            self.today_open = candle.open;
+            self.day_key = Some(key);
+        }
+        self.last_close = Some(candle.close);
+        let overnight = self.overnight?;
+        let intraday = if self.today_open == 0.0 {
+            0.0
+        } else {
+            candle.close / self.today_open - 1.0
+        };
+        let out = OvernightIntradayReturnOutput {
+            overnight,
+            intraday,
+        };
+        self.last = Some(out);
+        Some(out)
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.last_close = None;
+        self.today_open = 0.0;
+        self.overnight = None;
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "OvernightIntradayReturn"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(open: f64, close: f64, ts: i64) -> Candle {
+        let high = open.max(close) + 1.0;
+        let low = open.min(close) - 1.0;
+        Candle::new(open, high, low.max(0.0), close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let oi = OvernightIntradayReturn::new(-300);
+        assert_eq!(oi.utc_offset_minutes(), -300);
+        assert_eq!(oi.name(), "OvernightIntradayReturn");
+        assert_eq!(oi.warmup_period(), 2);
+        assert!(!oi.is_ready());
+        assert!(oi.value().is_none());
+    }
+
+    #[test]
+    fn first_session_yields_none() {
+        let mut oi = OvernightIntradayReturn::new(0);
+        assert!(oi.update(c(99.0, 100.0, 0)).is_none());
+        assert!(oi.update(c(100.0, 102.0, HOUR)).is_none());
+        assert!(!oi.is_ready());
+    }
+
+    #[test]
+    fn decomposes_overnight_and_intraday() {
+        let mut oi = OvernightIntradayReturn::new(0);
+        oi.update(c(99.0, 100.0, 0)); // day 1 close 100
+        let v = oi.update(c(110.0, 121.0, 24 * HOUR)).unwrap();
+        assert_relative_eq!(v.overnight, 0.10);
+        assert_relative_eq!(v.intraday, 0.10);
+        assert!(oi.is_ready());
+    }
+
+    #[test]
+    fn intraday_updates_through_the_session() {
+        let mut oi = OvernightIntradayReturn::new(0);
+        oi.update(c(99.0, 100.0, 0));
+        oi.update(c(110.0, 110.0, 24 * HOUR)); // open 110, close 110 -> intraday 0
+        let later = oi.update(c(111.0, 132.0, 25 * HOUR)).unwrap();
+        assert_relative_eq!(later.overnight, 0.10); // fixed at open
+        assert_relative_eq!(later.intraday, 0.20); // 132 / 110 - 1
+    }
+
+    #[test]
+    fn zero_anchors_yield_zero_components() {
+        let mut oi = OvernightIntradayReturn::new(0);
+        oi.update(c(1.0, 0.0, 0)); // day 1 closes at 0
+                                   // Day 2 opens at 0: overnight uses zero prev_close -> 0; intraday uses
+                                   // zero today_open -> 0.
+        let candle = Candle::new(0.0, 5.0, 0.0, 4.0, 1.0, 24 * HOUR).unwrap();
+        let v = oi.update(candle).unwrap();
+        assert_relative_eq!(v.overnight, 0.0);
+        assert_relative_eq!(v.intraday, 0.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut oi = OvernightIntradayReturn::new(0);
+        oi.update(c(99.0, 100.0, 0));
+        oi.update(c(110.0, 121.0, 24 * HOUR));
+        oi.reset();
+        assert!(!oi.is_ready());
+        assert!(oi.value().is_none());
+        assert!(oi.update(c(50.0, 55.0, 48 * HOUR)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..48)
+            .map(|i| {
+                c(
+                    100.0 + f64::from(i % 6),
+                    100.0 + f64::from(i % 4),
+                    i64::from(i) * 8 * HOUR,
+                )
+            })
+            .collect();
+        let mut a = OvernightIntradayReturn::new(0);
+        let mut b = OvernightIntradayReturn::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,232 @@
+//! Seasonal Z-Score — how far the current bar's return sits from the historical
+//! mean return of bars in the *same hour of day*, in standard deviations.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+const HOURS: usize = 24;
+
+/// Seasonal Z-Score keyed on hour of day.
+///
+/// For every bar the indicator forms the simple return `close / previous_close - 1`
+/// and compares it to the running mean and standard deviation of all prior
+/// returns that fell in the *same* local hour (the wall-clock hour of
+/// [`Candle::timestamp`](crate::Candle) shifted by `utc_offset_minutes`). The
+/// output is `(return - hour_mean) / hour_std`. A bucket needs at least two prior
+/// samples before it can emit; a bucket with zero historical variance reports
+/// `0.0`. The per-hour statistics use Welford's online algorithm.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, SeasonalZScore};
+///
+/// let day = 24 * 3_600_000;
+/// let mut z = SeasonalZScore::new(0);
+/// // Same hour each day so they share a bucket; close grows then jumps.
+/// for (i, close) in [100.0, 101.0, 103.0].iter().enumerate() {
+///     z.update(Candle::new(*close, *close, *close, *close, 1.0, i as i64 * day).unwrap());
+/// }
+/// // Fourth same-hour sample has two priors in the bucket -> emits a z-score.
+/// let out = z.update(Candle::new(110.0, 110.0, 110.0, 110.0, 1.0, 3 * day).unwrap());
+/// assert!(out.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct SeasonalZScore {
+    utc_offset_minutes: i32,
+    prev_close: Option<f64>,
+    count: [u64; HOURS],
+    mean: [f64; HOURS],
+    m2: [f64; HOURS],
+    last: Option<f64>,
+}
+
+impl SeasonalZScore {
+    /// Construct a Seasonal Z-Score indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            prev_close: None,
+            count: [0; HOURS],
+            mean: [0.0; HOURS],
+            m2: [0.0; HOURS],
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent z-score if a populated bucket has produced one.
+    pub const fn value(&self) -> Option<f64> {
+        self.last
+    }
+
+    fn z_for(&self, hour: usize, ret: f64) -> Option<f64> {
+        if self.count[hour] < 2 {
+            return None;
+        }
+        let variance = self.m2[hour] / (self.count[hour] - 1) as f64;
+        if variance > 0.0 {
+            Some((ret - self.mean[hour]) / variance.sqrt())
+        } else {
+            Some(0.0)
+        }
+    }
+
+    fn accumulate(&mut self, hour: usize, ret: f64) {
+        self.count[hour] += 1;
+        let delta = ret - self.mean[hour];
+        self.mean[hour] += delta / self.count[hour] as f64;
+        let delta2 = ret - self.mean[hour];
+        self.m2[hour] += delta * delta2;
+    }
+}
+
+impl Indicator for SeasonalZScore {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let hour = civil.hour as usize;
+        let result = if let Some(prev) = self.prev_close {
+            let ret = if prev == 0.0 {
+                0.0
+            } else {
+                candle.close / prev - 1.0
+            };
+            let z = self.z_for(hour, ret);
+            self.accumulate(hour, ret);
+            z
+        } else {
+            None
+        };
+        self.prev_close = Some(candle.close);
+        if result.is_some() {
+            self.last = result;
+        }
+        result
+    }
+
+    fn reset(&mut self) {
+        self.prev_close = None;
+        self.count = [0; HOURS];
+        self.mean = [0.0; HOURS];
+        self.m2 = [0.0; HOURS];
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "SeasonalZScore"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const DAY: i64 = 24 * 3_600_000;
+
+    fn c(close: f64, ts: i64) -> Candle {
+        Candle::new(close, close, close, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let z = SeasonalZScore::new(120);
+        assert_eq!(z.utc_offset_minutes(), 120);
+        assert_eq!(z.name(), "SeasonalZScore");
+        assert_eq!(z.warmup_period(), 2);
+        assert!(!z.is_ready());
+        assert!(z.value().is_none());
+    }
+
+    #[test]
+    fn no_output_until_bucket_has_two_priors() {
+        let mut z = SeasonalZScore::new(0);
+        // Each bar shares the same hour bucket (same time-of-day, daily spacing).
+        assert!(z.update(c(100.0, 0)).is_none()); // first: no return
+        assert!(z.update(c(101.0, DAY)).is_none()); // return #1 -> bucket has 0 priors
+        assert!(z.update(c(102.0, 2 * DAY)).is_none()); // return #2 -> bucket has 1 prior
+                                                        // return #3 -> bucket has 2 priors -> emits.
+        assert!(z.update(c(104.0, 3 * DAY)).is_some());
+        assert!(z.is_ready());
+    }
+
+    #[test]
+    fn z_score_matches_manual_welford() {
+        let mut z = SeasonalZScore::new(0);
+        // Returns into one hourly bucket: r1 = 0.01, r2 = 0.02, r3 = 0.03.
+        z.update(c(100.0, 0));
+        z.update(c(101.0, DAY)); // r1 = 0.01
+        z.update(c(103.02, 2 * DAY)); // r2 = 0.02
+                                      // Priors {0.01, 0.02}: mean 0.015, sample std = sqrt(((.005)^2*2)/1).
+        let mean = 0.015;
+        let std = (((0.01_f64 - mean).powi(2) + (0.02 - mean).powi(2)) / 1.0).sqrt();
+        let r3 = 0.03;
+        let expected = (r3 - mean) / std;
+        let close = 103.02 * (1.0 + r3);
+        let out = z.update(c(close, 3 * DAY)).unwrap();
+        assert_relative_eq!(out, expected, epsilon = 1e-9);
+    }
+
+    #[test]
+    fn zero_variance_bucket_reports_zero() {
+        let mut z = SeasonalZScore::new(0);
+        // Constant return into the bucket -> variance 0 -> z = 0.
+        z.update(c(100.0, 0));
+        z.update(c(110.0, DAY)); // r1 = 0.10
+        z.update(c(121.0, 2 * DAY)); // r2 = 0.10
+        let out = z.update(c(133.1, 3 * DAY)).unwrap(); // r3 = 0.10
+        assert_relative_eq!(out, 0.0);
+    }
+
+    #[test]
+    fn zero_prev_close_uses_zero_return() {
+        let mut z = SeasonalZScore::new(0);
+        z.update(c(0.0, 0)); // prev close 0
+        z.update(c(0.0, DAY)); // ret = 0 (guarded), bucket sample
+        z.update(c(0.0, 2 * DAY)); // ret = 0, bucket now 2 priors
+        let out = z.update(c(0.0, 3 * DAY)).unwrap();
+        assert_relative_eq!(out, 0.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut z = SeasonalZScore::new(0);
+        for i in 0..4 {
+            z.update(c(100.0 + f64::from(i), i64::from(i) * DAY));
+        }
+        z.reset();
+        assert!(!z.is_ready());
+        assert!(z.value().is_none());
+        assert!(z.update(c(100.0, 4 * DAY)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..50)
+            .map(|i| c(100.0 + f64::from(i % 9), i64::from(i) * 3 * 3_600_000))
+            .collect();
+        let mut a = SeasonalZScore::new(0);
+        let mut b = SeasonalZScore::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,226 @@
+//! Session High/Low — the running high and low of the current calendar-day
+//! session, re-anchored automatically at each day boundary.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Session High/Low output: the high and low established so far in the current
+/// session.
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub struct SessionHighLowOutput {
+    /// Highest high seen since the current session opened.
+    pub high: f64,
+    /// Lowest low seen since the current session opened.
+    pub low: f64,
+}
+
+/// Running high / low of the current session, keyed off the wall-clock day of
+/// [`Candle::timestamp`](crate::Candle).
+///
+/// Unlike [`crate::OpeningRange`] or [`crate::InitialBalance`], which require the
+/// caller to invoke `reset()` at every session boundary, this indicator detects
+/// the boundary itself: whenever a candle falls on a different local calendar
+/// day (after shifting by `utc_offset_minutes`) the high / low are re-anchored to
+/// that candle. `utc_offset_minutes` lets callers align the day boundary to an
+/// exchange session — `0` for UTC, `-300` for U.S. Eastern standard time.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, SessionHighLow};
+///
+/// // One bar per hour; the day rolls over after 24 bars at UTC.
+/// let mut shl = SessionHighLow::new(0);
+/// let hour = 3_600_000;
+/// shl.update(Candle::new(100.0, 105.0, 99.0, 101.0, 1.0, 0).unwrap());
+/// let v = shl.update(Candle::new(101.0, 108.0, 100.0, 107.0, 1.0, hour).unwrap()).unwrap();
+/// assert_eq!(v.high, 108.0);
+/// assert_eq!(v.low, 99.0);
+/// // A bar on the next day re-anchors to that bar alone.
+/// let v = shl.update(Candle::new(50.0, 51.0, 49.0, 50.0, 1.0, 24 * hour).unwrap()).unwrap();
+/// assert_eq!(v.high, 51.0);
+/// assert_eq!(v.low, 49.0);
+/// ```
+#[derive(Debug, Clone)]
+pub struct SessionHighLow {
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    high: f64,
+    low: f64,
+    last: Option<SessionHighLowOutput>,
+}
+
+impl SessionHighLow {
+    /// Construct a Session High/Low indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            day_key: None,
+            high: f64::NEG_INFINITY,
+            low: f64::INFINITY,
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent output if at least one bar has been seen.
+    pub const fn value(&self) -> Option<SessionHighLowOutput> {
+        self.last
+    }
+}
+
+impl Indicator for SessionHighLow {
+    type Input = Candle;
+    type Output = SessionHighLowOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<SessionHighLowOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        if self.day_key == Some(key) {
+            if candle.high > self.high {
+                self.high = candle.high;
+            }
+            if candle.low < self.low {
+                self.low = candle.low;
+            }
+        } else {
+            self.day_key = Some(key);
+            self.high = candle.high;
+            self.low = candle.low;
+        }
+        let out = SessionHighLowOutput {
+            high: self.high,
+            low: self.low,
+        };
+        self.last = Some(out);
+        Some(out)
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.high = f64::NEG_INFINITY;
+        self.low = f64::INFINITY;
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        1
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "SessionHighLow"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(high: f64, low: f64, ts: i64) -> Candle {
+        let mid = f64::midpoint(high, low);
+        Candle::new(mid, high, low, mid, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let shl = SessionHighLow::new(-300);
+        assert_eq!(shl.utc_offset_minutes(), -300);
+        assert_eq!(shl.name(), "SessionHighLow");
+        assert_eq!(shl.warmup_period(), 1);
+        assert!(!shl.is_ready());
+        assert!(shl.value().is_none());
+    }
+
+    #[test]
+    fn tracks_high_low_within_day() {
+        let mut shl = SessionHighLow::new(0);
+        let first = shl.update(c(105.0, 99.0, 0)).unwrap();
+        assert_relative_eq!(first.high, 105.0);
+        assert_relative_eq!(first.low, 99.0);
+        assert!(shl.is_ready());
+        let second = shl.update(c(108.0, 100.0, HOUR)).unwrap();
+        assert_relative_eq!(second.high, 108.0);
+        assert_relative_eq!(second.low, 99.0);
+        // A narrower bar does not shrink the range.
+        let third = shl.update(c(106.0, 101.0, 2 * HOUR)).unwrap();
+        assert_relative_eq!(third.high, 108.0);
+        assert_relative_eq!(third.low, 99.0);
+        // A bar with a lower low extends the range downward (same day).
+        let fourth = shl.update(c(107.0, 95.0, 3 * HOUR)).unwrap();
+        assert_relative_eq!(fourth.high, 108.0);
+        assert_relative_eq!(fourth.low, 95.0);
+    }
+
+    #[test]
+    fn re_anchors_on_new_day() {
+        let mut shl = SessionHighLow::new(0);
+        shl.update(c(105.0, 99.0, 0));
+        shl.update(c(108.0, 100.0, HOUR));
+        let next = shl.update(c(51.0, 49.0, 24 * HOUR)).unwrap();
+        assert_relative_eq!(next.high, 51.0);
+        assert_relative_eq!(next.low, 49.0);
+    }
+
+    #[test]
+    fn utc_offset_shifts_day_boundary() {
+        // Two bars 1h apart straddling UTC midnight. At UTC they are different
+        // days; at +120 min they fall on the same local day.
+        let pre = 23 * HOUR; // 1970-01-01 23:00 UTC
+        let post = 24 * HOUR; // 1970-01-02 00:00 UTC
+        let mut utc = SessionHighLow::new(0);
+        utc.update(c(105.0, 99.0, pre));
+        let rolled = utc.update(c(108.0, 100.0, post)).unwrap();
+        assert_relative_eq!(rolled.high, 108.0);
+        assert_relative_eq!(rolled.low, 100.0); // re-anchored
+
+        let mut shifted = SessionHighLow::new(120);
+        shifted.update(c(105.0, 99.0, pre));
+        let same = shifted.update(c(108.0, 100.0, post)).unwrap();
+        assert_relative_eq!(same.high, 108.0);
+        assert_relative_eq!(same.low, 99.0); // same local day, range kept
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut shl = SessionHighLow::new(0);
+        shl.update(c(105.0, 99.0, 0));
+        shl.reset();
+        assert!(!shl.is_ready());
+        assert!(shl.value().is_none());
+        let after = shl.update(c(60.0, 50.0, HOUR)).unwrap();
+        assert_relative_eq!(after.high, 60.0);
+        assert_relative_eq!(after.low, 50.0);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..30)
+            .map(|i| {
+                c(
+                    100.0 + f64::from(i),
+                    90.0 + f64::from(i) * 0.5,
+                    i64::from(i) * HOUR,
+                )
+            })
+            .collect();
+        let mut a = SessionHighLow::new(0);
+        let mut b = SessionHighLow::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,248 @@
+//! Session Range — the high-minus-low range accumulated within each of the
+//! three canonical trading sessions (Asia / EU / US) of the current day.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Session Range output: the current day's range within each session.
+///
+/// A session with no bars yet reports `0.0`. All three reset at the local day
+/// boundary.
+#[derive(Debug, Clone, Copy, PartialEq)]
+pub struct SessionRangeOutput {
+    /// High − low within the Asia session (local hours `00:00..08:00`).
+    pub asia: f64,
+    /// High − low within the EU session (local hours `08:00..16:00`).
+    pub eu: f64,
+    /// High − low within the US session (local hours `16:00..24:00`).
+    pub us: f64,
+}
+
+#[derive(Debug, Clone, Copy)]
+struct Extent {
+    high: f64,
+    low: f64,
+}
+
+impl Extent {
+    const EMPTY: Self = Self {
+        high: f64::NEG_INFINITY,
+        low: f64::INFINITY,
+    };
+
+    fn add(&mut self, candle: Candle) {
+        if candle.high > self.high {
+            self.high = candle.high;
+        }
+        if candle.low < self.low {
+            self.low = candle.low;
+        }
+    }
+
+    fn range(self) -> f64 {
+        if self.high >= self.low {
+            self.high - self.low
+        } else {
+            0.0
+        }
+    }
+}
+
+/// Per-session high-low range, keyed off the wall-clock hour of
+/// [`Candle::timestamp`](crate::Candle).
+///
+/// The local day (after shifting by `utc_offset_minutes`) is split into three
+/// eight-hour sessions: **Asia** `00:00..08:00`, **EU** `08:00..16:00`, **US**
+/// `16:00..24:00`. Each session accumulates its own high / low; the reported
+/// range is `high - low`, or `0.0` before that session has seen a bar. All three
+/// re-anchor automatically at the day boundary.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, SessionRange};
+///
+/// let hour = 3_600_000;
+/// let mut sr = SessionRange::new(0);
+/// // 02:00 UTC — Asia session.
+/// sr.update(Candle::new(100.0, 104.0, 98.0, 101.0, 1.0, 2 * hour).unwrap());
+/// // 10:00 UTC — EU session.
+/// let v = sr.update(Candle::new(101.0, 110.0, 100.0, 109.0, 1.0, 10 * hour).unwrap()).unwrap();
+/// assert_eq!(v.asia, 6.0);
+/// assert_eq!(v.eu, 10.0);
+/// assert_eq!(v.us, 0.0);
+/// ```
+#[derive(Debug, Clone)]
+pub struct SessionRange {
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    sessions: [Extent; 3],
+    last: Option<SessionRangeOutput>,
+}
+
+impl SessionRange {
+    /// Construct a Session Range indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            day_key: None,
+            sessions: [Extent::EMPTY; 3],
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent output if at least one bar has been seen.
+    pub const fn value(&self) -> Option<SessionRangeOutput> {
+        self.last
+    }
+
+    fn snapshot(&self) -> SessionRangeOutput {
+        SessionRangeOutput {
+            asia: self.sessions[0].range(),
+            eu: self.sessions[1].range(),
+            us: self.sessions[2].range(),
+        }
+    }
+}
+
+impl Indicator for SessionRange {
+    type Input = Candle;
+    type Output = SessionRangeOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<SessionRangeOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        if self.day_key != Some(key) {
+            self.day_key = Some(key);
+            self.sessions = [Extent::EMPTY; 3];
+        }
+        let session = (civil.hour / 8) as usize; // 0 Asia, 1 EU, 2 US
+        self.sessions[session].add(candle);
+        let out = self.snapshot();
+        self.last = Some(out);
+        Some(out)
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.sessions = [Extent::EMPTY; 3];
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        1
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "SessionRange"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(high: f64, low: f64, ts: i64) -> Candle {
+        let mid = f64::midpoint(high, low);
+        Candle::new(mid, high, low, mid, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let sr = SessionRange::new(60);
+        assert_eq!(sr.utc_offset_minutes(), 60);
+        assert_eq!(sr.name(), "SessionRange");
+        assert_eq!(sr.warmup_period(), 1);
+        assert!(!sr.is_ready());
+        assert!(sr.value().is_none());
+    }
+
+    #[test]
+    fn assigns_bars_to_sessions() {
+        let mut sr = SessionRange::new(0);
+        let asia = sr.update(c(104.0, 98.0, 2 * HOUR)).unwrap();
+        assert_relative_eq!(asia.asia, 6.0);
+        assert_relative_eq!(asia.eu, 0.0);
+        assert_relative_eq!(asia.us, 0.0);
+        assert!(sr.is_ready());
+        let eu = sr.update(c(110.0, 100.0, 10 * HOUR)).unwrap();
+        assert_relative_eq!(eu.eu, 10.0);
+        let us = sr.update(c(120.0, 118.0, 20 * HOUR)).unwrap();
+        assert_relative_eq!(us.us, 2.0);
+        assert_relative_eq!(us.asia, 6.0);
+    }
+
+    #[test]
+    fn widens_within_one_session() {
+        let mut sr = SessionRange::new(0);
+        sr.update(c(104.0, 98.0, HOUR));
+        let wider = sr.update(c(106.0, 95.0, 3 * HOUR)).unwrap();
+        assert_relative_eq!(wider.asia, 11.0);
+    }
+
+    #[test]
+    fn resets_sessions_on_new_day() {
+        let mut sr = SessionRange::new(0);
+        sr.update(c(104.0, 98.0, 2 * HOUR));
+        sr.update(c(110.0, 100.0, 10 * HOUR));
+        let next = sr.update(c(101.0, 99.0, (24 + 2) * HOUR)).unwrap();
+        assert_relative_eq!(next.asia, 2.0);
+        assert_relative_eq!(next.eu, 0.0);
+    }
+
+    #[test]
+    fn utc_offset_moves_bar_between_sessions() {
+        // 07:00 UTC is Asia; shifted +120 min it becomes 09:00 -> EU.
+        let mut utc = SessionRange::new(0);
+        let a = utc.update(c(104.0, 98.0, 7 * HOUR)).unwrap();
+        assert_relative_eq!(a.asia, 6.0);
+        assert_relative_eq!(a.eu, 0.0);
+
+        let mut shifted = SessionRange::new(120);
+        let e = shifted.update(c(104.0, 98.0, 7 * HOUR)).unwrap();
+        assert_relative_eq!(e.asia, 0.0);
+        assert_relative_eq!(e.eu, 6.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut sr = SessionRange::new(0);
+        sr.update(c(104.0, 98.0, 2 * HOUR));
+        sr.reset();
+        assert!(!sr.is_ready());
+        assert!(sr.value().is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..40)
+            .map(|i| {
+                c(
+                    100.0 + f64::from(i % 5),
+                    95.0 - f64::from(i % 3),
+                    i64::from(i) * HOUR,
+                )
+            })
+            .collect();
+        let mut a = SessionRange::new(0);
+        let mut b = SessionRange::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,199 @@
+//! Session VWAP — the volume-weighted average price accumulated since the start
+//! of the current calendar-day session, re-anchored automatically each day.
+
+use crate::calendar::civil_from_timestamp;
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Volume-weighted average price reset at each local day boundary.
+///
+/// Each bar contributes its typical price `(high + low + close) / 3` weighted by
+/// volume. The running VWAP is `Σ(typical · volume) / Σ volume` over the current
+/// session; if the session's volume is still zero the indicator falls back to the
+/// latest typical price so the output is always finite. The session boundary is
+/// the wall-clock day of [`Candle::timestamp`](crate::Candle) shifted by
+/// `utc_offset_minutes`.
+///
+/// Where [`crate::RollingVwap`] averages over a fixed bar window and
+/// [`crate::AnchoredVwap`] anchors at a caller-chosen bar, Session VWAP anchors
+/// at the automatically detected day open.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, SessionVwap};
+///
+/// let hour = 3_600_000;
+/// let mut vwap = SessionVwap::new(0);
+/// // typical = 100, volume 10.
+/// vwap.update(Candle::new(100.0, 100.0, 100.0, 100.0, 10.0, 0).unwrap());
+/// // typical = 110, volume 30 -> VWAP = (100*10 + 110*30) / 40 = 107.5.
+/// let v = vwap.update(Candle::new(110.0, 110.0, 110.0, 110.0, 30.0, hour).unwrap()).unwrap();
+/// assert!((v - 107.5).abs() < 1e-9);
+/// ```
+#[derive(Debug, Clone)]
+pub struct SessionVwap {
+    utc_offset_minutes: i32,
+    day_key: Option<(i64, u32, u32)>,
+    cum_pv: f64,
+    cum_volume: f64,
+    last: Option<f64>,
+}
+
+impl SessionVwap {
+    /// Construct a Session VWAP indicator with the given UTC offset (minutes).
+    pub const fn new(utc_offset_minutes: i32) -> Self {
+        Self {
+            utc_offset_minutes,
+            day_key: None,
+            cum_pv: 0.0,
+            cum_volume: 0.0,
+            last: None,
+        }
+    }
+
+    /// Configured UTC offset in minutes.
+    pub const fn utc_offset_minutes(&self) -> i32 {
+        self.utc_offset_minutes
+    }
+
+    /// Most recent VWAP if at least one bar has been seen.
+    pub const fn value(&self) -> Option<f64> {
+        self.last
+    }
+}
+
+impl Indicator for SessionVwap {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        if self.day_key != Some(key) {
+            self.day_key = Some(key);
+            self.cum_pv = 0.0;
+            self.cum_volume = 0.0;
+        }
+        let typical = (candle.high + candle.low + candle.close) / 3.0;
+        self.cum_pv += typical * candle.volume;
+        self.cum_volume += candle.volume;
+        let vwap = if self.cum_volume > 0.0 {
+            self.cum_pv / self.cum_volume
+        } else {
+            typical
+        };
+        self.last = Some(vwap);
+        Some(vwap)
+    }
+
+    fn reset(&mut self) {
+        self.day_key = None;
+        self.cum_pv = 0.0;
+        self.cum_volume = 0.0;
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        1
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "SessionVwap"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(price: f64, volume: f64, ts: i64) -> Candle {
+        Candle::new(price, price, price, price, volume, ts).unwrap()
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let vwap = SessionVwap::new(-480);
+        assert_eq!(vwap.utc_offset_minutes(), -480);
+        assert_eq!(vwap.name(), "SessionVwap");
+        assert_eq!(vwap.warmup_period(), 1);
+        assert!(!vwap.is_ready());
+        assert!(vwap.value().is_none());
+    }
+
+    #[test]
+    fn volume_weights_the_average() {
+        let mut vwap = SessionVwap::new(0);
+        let first = vwap.update(c(100.0, 10.0, 0)).unwrap();
+        assert_relative_eq!(first, 100.0);
+        assert!(vwap.is_ready());
+        let second = vwap.update(c(110.0, 30.0, HOUR)).unwrap();
+        assert_relative_eq!(second, 107.5);
+    }
+
+    #[test]
+    fn zero_volume_session_falls_back_to_typical() {
+        let mut vwap = SessionVwap::new(0);
+        let v = vwap.update(c(100.0, 0.0, 0)).unwrap();
+        assert_relative_eq!(v, 100.0);
+        let v2 = vwap.update(c(120.0, 0.0, HOUR)).unwrap();
+        assert_relative_eq!(v2, 120.0);
+    }
+
+    #[test]
+    fn re_anchors_on_new_day() {
+        let mut vwap = SessionVwap::new(0);
+        vwap.update(c(100.0, 10.0, 0));
+        vwap.update(c(110.0, 30.0, HOUR));
+        // New day: VWAP restarts from the first bar of day 2.
+        let next = vwap.update(c(200.0, 5.0, 24 * HOUR)).unwrap();
+        assert_relative_eq!(next, 200.0);
+    }
+
+    #[test]
+    fn typical_price_uses_high_low_close() {
+        let mut vwap = SessionVwap::new(0);
+        // typical = (120 + 90 + 102) / 3 = 104.
+        let candle = Candle::new(100.0, 120.0, 90.0, 102.0, 10.0, 0).unwrap();
+        let v = vwap.update(candle).unwrap();
+        assert_relative_eq!(v, 104.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut vwap = SessionVwap::new(0);
+        vwap.update(c(100.0, 10.0, 0));
+        vwap.reset();
+        assert!(!vwap.is_ready());
+        assert!(vwap.value().is_none());
+        let after = vwap.update(c(50.0, 1.0, HOUR)).unwrap();
+        assert_relative_eq!(after, 50.0);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..30)
+            .map(|i| {
+                c(
+                    100.0 + f64::from(i),
+                    1.0 + f64::from(i % 4),
+                    i64::from(i) * HOUR,
+                )
+            })
+            .collect();
+        let mut a = SessionVwap::new(0);
+        let mut b = SessionVwap::new(0);
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,226 @@
+//! Time-of-Day Return Profile — the mean bar return in each intraday time bucket.
+
+use crate::calendar::civil_from_timestamp;
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Time-of-Day Return Profile output: the per-bucket mean return.
+///
+/// `bins[i]` is the mean simple return of all bars whose local time-of-day fell
+/// in bucket `i`, where bucket `i` spans the minutes
+/// `[i * 1440 / bins.len(), (i + 1) * 1440 / bins.len())`. Empty buckets read
+/// `0.0`.
+#[derive(Debug, Clone, PartialEq)]
+pub struct TimeOfDayReturnProfileOutput {
+    /// Per-bucket mean return, earliest bucket first. Length equals `buckets`.
+    pub bins: Vec<f64>,
+}
+
+/// Mean bar return bucketed by local time of day.
+///
+/// The local day (the wall-clock day of [`Candle::timestamp`](crate::Candle)
+/// shifted by `utc_offset_minutes`) is divided into `buckets` equal slices. Each
+/// bar's simple return `close / previous_close - 1` is accumulated into the bucket
+/// of its time-of-day, and the profile reports the running mean per bucket. The
+/// first bar produces no output (no return yet).
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, TimeOfDayReturnProfile};
+///
+/// let hour = 3_600_000;
+/// let mut prof = TimeOfDayReturnProfile::new(24, 0).unwrap();
+/// assert!(prof.update(Candle::new(100.0, 100.0, 100.0, 100.0, 1.0, 0).unwrap()).is_none());
+/// let out = prof.update(Candle::new(101.0, 101.0, 101.0, 101.0, 1.0, hour).unwrap()).unwrap();
+/// assert_eq!(out.bins.len(), 24);
+/// ```
+#[derive(Debug, Clone)]
+pub struct TimeOfDayReturnProfile {
+    buckets: usize,
+    utc_offset_minutes: i32,
+    prev_close: Option<f64>,
+    sum: Vec<f64>,
+    count: Vec<u64>,
+    last: Option<TimeOfDayReturnProfileOutput>,
+}
+
+impl TimeOfDayReturnProfile {
+    /// Construct a Time-of-Day Return Profile with `buckets` intraday slices.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `buckets == 0`.
+    pub fn new(buckets: usize, utc_offset_minutes: i32) -> Result<Self> {
+        if buckets == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            buckets,
+            utc_offset_minutes,
+            prev_close: None,
+            sum: vec![0.0; buckets],
+            count: vec![0; buckets],
+            last: None,
+        })
+    }
+
+    /// Configured `(buckets, utc_offset_minutes)`.
+    pub const fn params(&self) -> (usize, i32) {
+        (self.buckets, self.utc_offset_minutes)
+    }
+
+    /// Most recent profile if at least one return has been recorded.
+    pub fn value(&self) -> Option<&TimeOfDayReturnProfileOutput> {
+        self.last.as_ref()
+    }
+
+    fn bucket_of(&self, minute_of_day: u32) -> usize {
+        let raw = (minute_of_day as usize * self.buckets) / 1440;
+        raw.min(self.buckets - 1)
+    }
+
+    fn snapshot(&self) -> TimeOfDayReturnProfileOutput {
+        let bins = self
+            .sum
+            .iter()
+            .zip(&self.count)
+            .map(|(total, n)| if *n > 0 { total / *n as f64 } else { 0.0 })
+            .collect();
+        TimeOfDayReturnProfileOutput { bins }
+    }
+}
+
+impl Indicator for TimeOfDayReturnProfile {
+    type Input = Candle;
+    type Output = TimeOfDayReturnProfileOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<TimeOfDayReturnProfileOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let result = if let Some(prev) = self.prev_close {
+            let ret = if prev == 0.0 {
+                0.0
+            } else {
+                candle.close / prev - 1.0
+            };
+            let bucket = self.bucket_of(civil.minute_of_day());
+            self.sum[bucket] += ret;
+            self.count[bucket] += 1;
+            let out = self.snapshot();
+            self.last = Some(out.clone());
+            Some(out)
+        } else {
+            None
+        };
+        self.prev_close = Some(candle.close);
+        result
+    }
+
+    fn reset(&mut self) {
+        self.prev_close = None;
+        self.sum.iter_mut().for_each(|x| *x = 0.0);
+        self.count.iter_mut().for_each(|x| *x = 0);
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "TimeOfDayReturnProfile"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(close: f64, ts: i64) -> Candle {
+        Candle::new(close, close, close, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn rejects_zero_buckets() {
+        assert!(matches!(
+            TimeOfDayReturnProfile::new(0, 0),
+            Err(Error::PeriodZero)
+        ));
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let prof = TimeOfDayReturnProfile::new(24, -300).unwrap();
+        assert_eq!(prof.params(), (24, -300));
+        assert_eq!(prof.name(), "TimeOfDayReturnProfile");
+        assert_eq!(prof.warmup_period(), 2);
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+    }
+
+    #[test]
+    fn buckets_by_hour_and_means_returns() {
+        let mut prof = TimeOfDayReturnProfile::new(24, 0).unwrap();
+        assert!(prof.update(c(100.0, 0)).is_none()); // 00:00, no return
+                                                     // 01:00 return +0.01 -> bucket 1.
+        let out = prof.update(c(101.0, HOUR)).unwrap();
+        assert_eq!(out.bins.len(), 24);
+        assert_relative_eq!(out.bins[1], 0.01);
+        assert_relative_eq!(out.bins[0], 0.0);
+        assert!(prof.is_ready());
+        // 01:00 next day, return -> averages into bucket 1.
+        let out = prof.update(c(102.01, 25 * HOUR)).unwrap();
+        // two returns in bucket 1: 0.01 and 0.01 -> mean 0.01.
+        assert_relative_eq!(out.bins[1], 0.01);
+    }
+
+    #[test]
+    fn last_bucket_clamped_for_end_of_day() {
+        let mut prof = TimeOfDayReturnProfile::new(24, 0).unwrap();
+        prof.update(c(100.0, 23 * HOUR));
+        // 23:59 -> minute 1439 -> bucket min(23, 23) = 23.
+        let out = prof.update(c(110.0, 23 * HOUR + 59 * 60_000)).unwrap();
+        assert_relative_eq!(out.bins[23], 0.10);
+    }
+
+    #[test]
+    fn zero_prev_close_uses_zero_return() {
+        let mut prof = TimeOfDayReturnProfile::new(4, 0).unwrap();
+        prof.update(c(0.0, 0));
+        let out = prof.update(c(5.0, HOUR)).unwrap();
+        assert_relative_eq!(out.bins[0], 0.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut prof = TimeOfDayReturnProfile::new(24, 0).unwrap();
+        prof.update(c(100.0, 0));
+        prof.update(c(101.0, HOUR));
+        prof.reset();
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+        assert!(prof.update(c(100.0, 2 * HOUR)).is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..50)
+            .map(|i| c(100.0 + f64::from(i % 7), i64::from(i) * HOUR))
+            .collect();
+        let mut a = TimeOfDayReturnProfile::new(12, 0).unwrap();
+        let mut b = TimeOfDayReturnProfile::new(12, 0).unwrap();
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,275 @@
+//! Turn-of-Month Effect — the mean daily return of sessions that fall inside the
+//! turn-of-month window (the last `n_last` and first `n_first` days of a month).
+
+use crate::calendar::{civil_from_timestamp, days_in_month};
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Whether a day-of-month lies in the turn-of-month window.
+///
+/// The window is the first `n_first` calendar days plus the last `n_last` days of
+/// the month (`days_in_month - n_last < dom`).
+fn in_turn_window(dom: u32, dim: u32, n_first: u32, n_last: u32) -> bool {
+    dom <= n_first || dom > dim.saturating_sub(n_last)
+}
+
+/// Turn-of-Month effect: the running mean of daily close-to-close returns for the
+/// sessions that fall in the turn-of-month window.
+///
+/// Each completed session (the wall-clock day of
+/// [`Candle::timestamp`](crate::Candle) shifted by `utc_offset_minutes`)
+/// contributes its return `close / previous_close - 1`. Only sessions whose
+/// day-of-month is within the first `n_first` or last `n_last` days of their month
+/// are averaged; the rest are ignored. The classic effect uses `n_first = 3`,
+/// `n_last = 1`.
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, TurnOfMonth};
+///
+/// let day = 24 * 3_600_000;
+/// // 2021-01-29 .. 02-02 — all turn-of-month days with n_first=3, n_last=1.
+/// let mut tom = TurnOfMonth::new(3, 1, 0).unwrap();
+/// let start = 1_611_878_400_000; // 2021-01-29 00:00 UTC
+/// let mut last = None;
+/// for (i, close) in [100.0, 101.0, 102.0, 103.0].iter().enumerate() {
+///     let ts = start + i as i64 * day;
+///     last = tom.update(Candle::new(*close, *close, *close, *close, 1.0, ts).unwrap());
+/// }
+/// assert!(last.is_some());
+/// ```
+#[derive(Debug, Clone)]
+pub struct TurnOfMonth {
+    n_first: u32,
+    n_last: u32,
+    utc_offset_minutes: i32,
+    day: Option<(i64, u32, u32)>,
+    cur_close: f64,
+    prev_day_close: Option<f64>,
+    sum: f64,
+    count: u64,
+}
+
+impl TurnOfMonth {
+    /// Construct a Turn-of-Month indicator.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if both `n_first` and `n_last` are zero (the
+    /// window would never include a day).
+    pub fn new(n_first: u32, n_last: u32, utc_offset_minutes: i32) -> Result<Self> {
+        if n_first == 0 && n_last == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            n_first,
+            n_last,
+            utc_offset_minutes,
+            day: None,
+            cur_close: 0.0,
+            prev_day_close: None,
+            sum: 0.0,
+            count: 0,
+        })
+    }
+
+    /// Classic turn-of-month window: first 3 and last 1 day of the month.
+    pub fn classic() -> Self {
+        Self::new(3, 1, 0).expect("classic turn-of-month window is valid")
+    }
+
+    /// Configured `(n_first, n_last, utc_offset_minutes)`.
+    pub const fn params(&self) -> (u32, u32, i32) {
+        (self.n_first, self.n_last, self.utc_offset_minutes)
+    }
+
+    /// Most recent mean turn-of-month return if any in-window day has completed.
+    pub fn value(&self) -> Option<f64> {
+        if self.count == 0 {
+            None
+        } else {
+            Some(self.sum / self.count as f64)
+        }
+    }
+
+    /// Settle the just-finished day `(year, month, dom)` whose last close is
+    /// `self.cur_close`, then start `next_key`.
+    fn roll_into(
+        &mut self,
+        year: i64,
+        month: u32,
+        dom: u32,
+        next_key: (i64, u32, u32),
+        close: f64,
+    ) {
+        if let Some(prev) = self.prev_day_close {
+            let ret = if prev == 0.0 {
+                0.0
+            } else {
+                self.cur_close / prev - 1.0
+            };
+            if in_turn_window(dom, days_in_month(year, month), self.n_first, self.n_last) {
+                self.sum += ret;
+                self.count += 1;
+            }
+        }
+        self.prev_day_close = Some(self.cur_close);
+        self.day = Some(next_key);
+        self.cur_close = close;
+    }
+}
+
+impl Indicator for TurnOfMonth {
+    type Input = Candle;
+    type Output = f64;
+
+    fn update(&mut self, candle: Candle) -> Option<f64> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let key = (civil.year, civil.month, civil.day);
+        match self.day {
+            Some(prev) if prev == key => {
+                self.cur_close = candle.close;
+            }
+            Some((year, month, dom)) => {
+                self.roll_into(year, month, dom, key, candle.close);
+            }
+            None => {
+                self.day = Some(key);
+                self.cur_close = candle.close;
+            }
+        }
+        self.value()
+    }
+
+    fn reset(&mut self) {
+        self.day = None;
+        self.cur_close = 0.0;
+        self.prev_day_close = None;
+        self.sum = 0.0;
+        self.count = 0;
+    }
+
+    fn warmup_period(&self) -> usize {
+        2
+    }
+
+    fn is_ready(&self) -> bool {
+        self.count > 0
+    }
+
+    fn name(&self) -> &'static str {
+        "TurnOfMonth"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const DAY: i64 = 24 * 3_600_000;
+    // 2021-01-28 00:00 UTC.
+    const JAN28_2021: i64 = 1_611_792_000_000;
+
+    fn c(close: f64, ts: i64) -> Candle {
+        Candle::new(close, close, close, close, 1.0, ts).unwrap()
+    }
+
+    #[test]
+    fn window_predicate_branches() {
+        // First-days branch.
+        assert!(in_turn_window(1, 31, 3, 1));
+        assert!(in_turn_window(3, 31, 3, 1));
+        assert!(!in_turn_window(4, 31, 3, 1));
+        // Last-days branch.
+        assert!(in_turn_window(31, 31, 3, 1));
+        assert!(!in_turn_window(30, 31, 3, 1));
+        // Saturating subtraction when n_last exceeds the month length.
+        assert!(in_turn_window(1, 28, 0, 40));
+    }
+
+    #[test]
+    fn rejects_empty_window() {
+        assert!(matches!(TurnOfMonth::new(0, 0, 0), Err(Error::PeriodZero)));
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let tom = TurnOfMonth::classic();
+        assert_eq!(tom.params(), (3, 1, 0));
+        assert_eq!(tom.name(), "TurnOfMonth");
+        assert_eq!(tom.warmup_period(), 2);
+        assert!(!tom.is_ready());
+        assert!(tom.value().is_none());
+    }
+
+    #[test]
+    fn averages_in_window_returns_only() {
+        let mut tom = TurnOfMonth::new(3, 1, 0).unwrap();
+        // 2021-01-28 (out of window, no prior close): close 100.
+        assert!(tom.update(c(100.0, JAN28_2021)).is_none());
+        // 2021-01-29 (out of window: dom 29, dim 31 -> 29 <= 30): return ignored.
+        assert!(tom.update(c(110.0, JAN28_2021 + DAY)).is_none());
+        // 2021-01-30 (out of window): completes 01-29; still none.
+        assert!(tom.update(c(120.0, JAN28_2021 + 2 * DAY)).is_none());
+        // 2021-01-31 (last day, in window): completes 01-30 (out). Still none.
+        assert!(tom.update(c(121.0, JAN28_2021 + 3 * DAY)).is_none());
+        // 2021-02-01 (first day, in window): completes 01-31 (in window).
+        // return = 121 / 120 - 1.
+        let v = tom.update(c(130.0, JAN28_2021 + 4 * DAY)).unwrap();
+        assert_relative_eq!(v, 121.0 / 120.0 - 1.0);
+        assert!(tom.is_ready());
+    }
+
+    #[test]
+    fn zero_prev_close_contributes_zero() {
+        let mut tom = TurnOfMonth::new(3, 1, 0).unwrap();
+        // 2021-01-30 closes at 0 — becomes the prior close for 01-31.
+        tom.update(c(0.0, JAN28_2021 + 2 * DAY));
+        // 2021-01-31 (last day, in window): finalizes 01-30 with no prior -> no
+        // contribution, but records prev_day_close = 0.
+        tom.update(c(5.0, JAN28_2021 + 3 * DAY));
+        // 2021-02-01 (in window): finalizes 01-31 with prev_close 0 -> ret 0.
+        let v = tom.update(c(50.0, JAN28_2021 + 4 * DAY)).unwrap();
+        assert_relative_eq!(v, 0.0);
+    }
+
+    #[test]
+    fn same_day_bars_use_latest_close() {
+        let mut tom = TurnOfMonth::new(3, 1, 0).unwrap();
+        // 2021-01-30 closes at 100 (prior day, sets prev_day_close).
+        tom.update(c(100.0, JAN28_2021 + 2 * DAY));
+        // 2021-01-31 two bars on the same day; the later close (120) wins.
+        tom.update(c(110.0, JAN28_2021 + 3 * DAY));
+        tom.update(c(120.0, JAN28_2021 + 3 * DAY + 3_600_000));
+        // 2021-02-01 (in window) finalizes 01-31: return = 120 / 100 - 1 = 0.20.
+        let v = tom.update(c(130.0, JAN28_2021 + 4 * DAY)).unwrap();
+        assert_relative_eq!(v, 0.20);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut tom = TurnOfMonth::new(3, 1, 0).unwrap();
+        tom.update(c(121.0, JAN28_2021 + 3 * DAY));
+        tom.update(c(130.0, JAN28_2021 + 4 * DAY));
+        tom.reset();
+        assert!(!tom.is_ready());
+        assert!(tom.value().is_none());
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..40)
+            .map(|i| c(100.0 + f64::from(i), JAN28_2021 + i64::from(i) * DAY))
+            .collect();
+        let mut a = TurnOfMonth::new(3, 2, 0).unwrap();
+        let mut b = TurnOfMonth::new(3, 2, 0).unwrap();
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -0,0 +1,198 @@
+//! Volume-by-Time Profile — the mean traded volume in each intraday bucket.
+
+use crate::calendar::civil_from_timestamp;
+use crate::error::{Error, Result};
+use crate::ohlcv::Candle;
+use crate::traits::Indicator;
+
+/// Volume-by-Time Profile output: the per-bucket mean volume.
+///
+/// `bins[i]` is the mean volume of all bars whose local time-of-day fell in
+/// bucket `i`. Empty buckets read `0.0`.
+#[derive(Debug, Clone, PartialEq)]
+pub struct VolumeByTimeProfileOutput {
+    /// Per-bucket mean volume, earliest bucket first. Length equals `buckets`.
+    pub bins: Vec<f64>,
+}
+
+/// Mean traded volume bucketed by local time of day.
+///
+/// The local day (the wall-clock day of [`Candle::timestamp`](crate::Candle)
+/// shifted by `utc_offset_minutes`) is split into `buckets` equal slices. Each
+/// bar's volume is accumulated into the bucket of its time-of-day, and the
+/// profile reports the running mean volume per bucket. Unlike the return
+/// profiles, the first bar already produces output (volume needs no prior bar).
+///
+/// # Example
+///
+/// ```
+/// use wickra_core::{Candle, Indicator, VolumeByTimeProfile};
+///
+/// let hour = 3_600_000;
+/// let mut prof = VolumeByTimeProfile::new(24, 0).unwrap();
+/// let out = prof.update(Candle::new(100.0, 100.0, 100.0, 100.0, 500.0, hour).unwrap()).unwrap();
+/// assert_eq!(out.bins.len(), 24);
+/// assert_eq!(out.bins[1], 500.0);
+/// ```
+#[derive(Debug, Clone)]
+pub struct VolumeByTimeProfile {
+    buckets: usize,
+    utc_offset_minutes: i32,
+    sum: Vec<f64>,
+    count: Vec<u64>,
+    last: Option<VolumeByTimeProfileOutput>,
+}
+
+impl VolumeByTimeProfile {
+    /// Construct a Volume-by-Time Profile with `buckets` intraday slices.
+    ///
+    /// # Errors
+    ///
+    /// Returns [`Error::PeriodZero`] if `buckets == 0`.
+    pub fn new(buckets: usize, utc_offset_minutes: i32) -> Result<Self> {
+        if buckets == 0 {
+            return Err(Error::PeriodZero);
+        }
+        Ok(Self {
+            buckets,
+            utc_offset_minutes,
+            sum: vec![0.0; buckets],
+            count: vec![0; buckets],
+            last: None,
+        })
+    }
+
+    /// Configured `(buckets, utc_offset_minutes)`.
+    pub const fn params(&self) -> (usize, i32) {
+        (self.buckets, self.utc_offset_minutes)
+    }
+
+    /// Most recent profile if at least one bar has been seen.
+    pub fn value(&self) -> Option<&VolumeByTimeProfileOutput> {
+        self.last.as_ref()
+    }
+
+    fn bucket_of(&self, minute_of_day: u32) -> usize {
+        let raw = (minute_of_day as usize * self.buckets) / 1440;
+        raw.min(self.buckets - 1)
+    }
+
+    fn snapshot(&self) -> VolumeByTimeProfileOutput {
+        let bins = self
+            .sum
+            .iter()
+            .zip(&self.count)
+            .map(|(total, n)| if *n > 0 { total / *n as f64 } else { 0.0 })
+            .collect();
+        VolumeByTimeProfileOutput { bins }
+    }
+}
+
+impl Indicator for VolumeByTimeProfile {
+    type Input = Candle;
+    type Output = VolumeByTimeProfileOutput;
+
+    fn update(&mut self, candle: Candle) -> Option<VolumeByTimeProfileOutput> {
+        let civil = civil_from_timestamp(candle.timestamp, self.utc_offset_minutes);
+        let bucket = self.bucket_of(civil.minute_of_day());
+        self.sum[bucket] += candle.volume;
+        self.count[bucket] += 1;
+        let out = self.snapshot();
+        self.last = Some(out.clone());
+        Some(out)
+    }
+
+    fn reset(&mut self) {
+        self.sum.iter_mut().for_each(|x| *x = 0.0);
+        self.count.iter_mut().for_each(|x| *x = 0);
+        self.last = None;
+    }
+
+    fn warmup_period(&self) -> usize {
+        1
+    }
+
+    fn is_ready(&self) -> bool {
+        self.last.is_some()
+    }
+
+    fn name(&self) -> &'static str {
+        "VolumeByTimeProfile"
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+    use crate::traits::BatchExt;
+    use approx::assert_relative_eq;
+
+    const HOUR: i64 = 3_600_000;
+
+    fn c(volume: f64, ts: i64) -> Candle {
+        Candle::new(100.0, 100.0, 100.0, 100.0, volume, ts).unwrap()
+    }
+
+    #[test]
+    fn rejects_zero_buckets() {
+        assert!(matches!(
+            VolumeByTimeProfile::new(0, 0),
+            Err(Error::PeriodZero)
+        ));
+    }
+
+    #[test]
+    fn metadata_and_accessors() {
+        let prof = VolumeByTimeProfile::new(24, -60).unwrap();
+        assert_eq!(prof.params(), (24, -60));
+        assert_eq!(prof.name(), "VolumeByTimeProfile");
+        assert_eq!(prof.warmup_period(), 1);
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+    }
+
+    #[test]
+    fn emits_from_first_bar_and_means_volume() {
+        let mut prof = VolumeByTimeProfile::new(24, 0).unwrap();
+        let out = prof.update(c(500.0, HOUR)).unwrap(); // 01:00 -> bucket 1
+        assert_eq!(out.bins.len(), 24);
+        assert_relative_eq!(out.bins[1], 500.0);
+        assert_relative_eq!(out.bins[0], 0.0);
+        assert!(prof.is_ready());
+        // Next day 01:00, volume 700 -> mean (500 + 700) / 2 = 600.
+        let out = prof.update(c(700.0, 25 * HOUR)).unwrap();
+        assert_relative_eq!(out.bins[1], 600.0);
+    }
+
+    #[test]
+    fn last_bucket_clamped() {
+        let mut prof = VolumeByTimeProfile::new(24, 0).unwrap();
+        // 23:59 -> minute 1439 -> bucket 23.
+        let out = prof.update(c(300.0, 23 * HOUR + 59 * 60_000)).unwrap();
+        assert_relative_eq!(out.bins[23], 300.0);
+    }
+
+    #[test]
+    fn reset_clears_state() {
+        let mut prof = VolumeByTimeProfile::new(24, 0).unwrap();
+        prof.update(c(500.0, HOUR));
+        prof.reset();
+        assert!(!prof.is_ready());
+        assert!(prof.value().is_none());
+        let out = prof.update(c(100.0, 2 * HOUR)).unwrap();
+        assert_relative_eq!(out.bins[2], 100.0);
+    }
+
+    #[test]
+    fn batch_equals_streaming() {
+        let candles: Vec<Candle> = (0..50)
+            .map(|i| c(100.0 + f64::from(i % 8), i64::from(i) * HOUR))
+            .collect();
+        let mut a = VolumeByTimeProfile::new(12, 0).unwrap();
+        let mut b = VolumeByTimeProfile::new(12, 0).unwrap();
+        assert_eq!(
+            a.batch(&candles),
+            candles.iter().map(|x| b.update(*x)).collect::<Vec<_>>()
+        );
+    }
+}
@@ -42,6 +42,7 @@
 // builds — library code is still linted for genuinely large stack arrays.
 #![cfg_attr(test, allow(clippy::large_stack_arrays))]

+mod calendar;
 mod cross_section;
 mod derivatives;
 mod error;
@@ -59,17 +60,18 @@ pub use indicators::{
    AcceleratorOscillator, AdOscillator, AdVolumeLine, AdaptiveCycle, Adl, AdvanceBlock,
    AdvanceDecline, AdvanceDeclineRatio, Adx, AdxOutput, Adxr, Alligator, AlligatorOutput, Alma,
    Alpha, AnchoredRsi, AnchoredVwap, Apo, Aroon, AroonOscillator, AroonOutput, Atr, AtrBands,
-    AtrBandsOutput, AtrTrailingStop, Autocorrelation, AverageDrawdown, AvgPrice, AwesomeOscillator,
-    AwesomeOscillatorHistogram, BalanceOfPower, BeltHold, Beta, BetaNeutralSpread, BollingerBands,
-    BollingerBandwidth, BollingerOutput, BreadthThrust, Breakaway, BullishPercentIndex,
-    CalendarSpread, CalmarRatio, Camarilla, CamarillaPivotsOutput, Cci, CenterOfGravity, Cfo,
-    ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandeKrollStopOutput,
-    ChandelierExit, ChandelierExitOutput, ChoppinessIndex, ClassicPivots, ClassicPivotsOutput,
-    ClosingMarubozu, Cmo, CoefficientOfVariation, Cointegration, CointegrationOutput,
-    ConcealingBabySwallow, ConditionalValueAtRisk, ConnorsRsi, Coppock, Counterattack,
-    CumulativeVolumeDelta, CumulativeVolumeIndex, CyberneticCycle, Decycler, DecyclerOscillator,
-    Dema, DemandIndex, DemarkPivots, DemarkPivotsOutput, DepthSlope, DetrendedStdDev, DistanceSsd,
-    Doji, DojiStar, Donchian, DonchianOutput, DonchianStop, DonchianStopOutput, DoubleBollinger,
+    AtrBandsOutput, AtrTrailingStop, Autocorrelation, AverageDailyRange, AverageDrawdown, AvgPrice,
+    AwesomeOscillator, AwesomeOscillatorHistogram, BalanceOfPower, BeltHold, Beta,
+    BetaNeutralSpread, BollingerBands, BollingerBandwidth, BollingerOutput, BreadthThrust,
+    Breakaway, BullishPercentIndex, CalendarSpread, CalmarRatio, Camarilla, CamarillaPivotsOutput,
+    Cci, CenterOfGravity, Cfo, ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility,
+    ChandeKrollStop, ChandeKrollStopOutput, ChandelierExit, ChandelierExitOutput, ChoppinessIndex,
+    ClassicPivots, ClassicPivotsOutput, ClosingMarubozu, Cmo, CoefficientOfVariation,
+    Cointegration, CointegrationOutput, ConcealingBabySwallow, ConditionalValueAtRisk, ConnorsRsi,
+    Coppock, Counterattack, CumulativeVolumeDelta, CumulativeVolumeIndex, CyberneticCycle,
+    DayOfWeekProfile, DayOfWeekProfileOutput, Decycler, DecyclerOscillator, Dema, DemandIndex,
+    DemarkPivots, DemarkPivotsOutput, DepthSlope, DetrendedStdDev, DistanceSsd, Doji, DojiStar,
+    Donchian, DonchianOutput, DonchianStop, DonchianStopOutput, DoubleBollinger,
    DoubleBollingerOutput, DownsideGapThreeMethods, Dpo, DragonflyDoji, DrawdownDuration, Dx,
    EaseOfMovement, EffectiveSpread, EhlersStochastic, ElderImpulse, Ema,
    EmpiricalModeDecomposition, Engulfing, EveningDojiStar, Evwma, FallingThreeMethods, Fama,
@@ -81,44 +83,48 @@ pub use indicators::{
    HistoricalVolatility, Hma, HomingPigeon, HtDcPhase, HtPhasor, HtPhasorOutput, HtTrendMode,
    HurstChannel, HurstChannelOutput, HurstExponent, Ichimoku, IchimokuOutput, IdenticalThreeCrows,
    InNeck, Inertia, InformationRatio, InitialBalance, InitialBalanceOutput,
-    InstantaneousTrendline, InverseFisherTransform, InvertedHammer, Jma, KagiBars,
-    KalmanHedgeRatio, KalmanHedgeRatioOutput, Kama, KellyCriterion, Keltner, KeltnerOutput,
-    Kicking, KickingByLength, Kst, KstOutput, Kurtosis, Kvo, KylesLambda, LadderBottom,
-    LaguerreRsi, LeadLagCrossCorrelation, LeadLagCrossCorrelationOutput, LinRegAngle,
-    LinRegChannel, LinRegChannelOutput, LinRegIntercept, LinRegSlope, LinearRegression,
-    LiquidationFeatures, LiquidationFeaturesOutput, LongLeggedDoji, LongLine, LongShortRatio,
-    MaEnvelope, MaEnvelopeOutput, MacdExt, MacdFix, MacdIndicator, MacdOutput, Mama, MamaOutput,
-    MarketFacilitationIndex, Marubozu, MassIndex, MatHold, MatchingLow, MaxDrawdown,
-    McClellanOscillator, McClellanSummationIndex, McGinleyDynamic, MedianAbsoluteDeviation,
-    MedianPrice, Mfi, Microprice, MidPoint, MidPrice, MinusDi, MinusDm, Mom, MorningDojiStar,
-    MorningEveningStar, Natr, NewHighsNewLows, Nvi, OIPriceDivergence, OIWeighted, Obv, OmegaRatio,
-    OnNeck, OpenInterestDelta, OpeningMarubozu, OpeningRange, OpeningRangeOutput,
-    OrderBookImbalanceFull, OrderBookImbalanceTop1, OrderBookImbalanceTopN, OuHalfLife, PainIndex,
-    PairSpreadZScore, PairwiseBeta, ParkinsonVolatility, PearsonCorrelation, PercentAboveMa,
-    PercentB, PercentageTrailingStop, Pgo, PiercingDarkCloud, PlusDi, PlusDm, Pmo,
-    PointAndFigureBars, Ppo, ProfitFactor, Psar, Pvi, QuotedSpread, RSquared, RealizedSpread,
-    RecoveryFactor, RelativeStrengthAB, RelativeStrengthOutput, RenkoBars, RenkoTrailingStop,
-    RickshawMan, RisingThreeMethods, Roc, Rocp, Rocr, Rocr100, RogersSatchellVolatility,
-    RollingCorrelation, RollingCovariance, RollingVwap, RoofingFilter, Rsi, Rvi, RviVolatility,
-    Rwi, RwiOutput, SarExt, SeparatingLines, SharpeRatio, ShootingStar, ShortLine, SignedVolume,
-    SineWave, Skewness, Sma, Smi, Smma, SortinoRatio, SpearmanCorrelation, SpinningTop,
-    SpreadBollingerBands, SpreadBollingerBandsOutput, SpreadHurst, StalledPattern, StandardError,
-    StandardErrorBands, StandardErrorBandsOutput, StarcBands, StarcBandsOutput, Stc, StdDev,
-    StepTrailingStop, StickSandwich, StochRsi, Stochastic, StochasticOutput, SuperSmoother,
-    SuperTrend, SuperTrendOutput, TakerBuySellRatio, Takuri, TasukiGap, TdCombo, TdCountdown,
-    TdDeMarker, TdDifferential, TdLines, TdLinesOutput, TdOpen, TdPressure, TdRangeProjection,
+    InstantaneousTrendline, IntradayVolatilityProfile, IntradayVolatilityProfileOutput,
+    InverseFisherTransform, InvertedHammer, Jma, KagiBars, KalmanHedgeRatio,
+    KalmanHedgeRatioOutput, Kama, KellyCriterion, Keltner, KeltnerOutput, Kicking, KickingByLength,
+    Kst, KstOutput, Kurtosis, Kvo, KylesLambda, LadderBottom, LaguerreRsi, LeadLagCrossCorrelation,
+    LeadLagCrossCorrelationOutput, LinRegAngle, LinRegChannel, LinRegChannelOutput,
+    LinRegIntercept, LinRegSlope, LinearRegression, LiquidationFeatures, LiquidationFeaturesOutput,
+    LongLeggedDoji, LongLine, LongShortRatio, MaEnvelope, MaEnvelopeOutput, MacdExt, MacdFix,
+    MacdIndicator, MacdOutput, Mama, MamaOutput, MarketFacilitationIndex, Marubozu, MassIndex,
+    MatHold, MatchingLow, MaxDrawdown, McClellanOscillator, McClellanSummationIndex,
+    McGinleyDynamic, MedianAbsoluteDeviation, MedianPrice, Mfi, Microprice, MidPoint, MidPrice,
+    MinusDi, MinusDm, Mom, MorningDojiStar, MorningEveningStar, Natr, NewHighsNewLows, Nvi,
+    OIPriceDivergence, OIWeighted, Obv, OmegaRatio, OnNeck, OpenInterestDelta, OpeningMarubozu,
+    OpeningRange, OpeningRangeOutput, OrderBookImbalanceFull, OrderBookImbalanceTop1,
+    OrderBookImbalanceTopN, OuHalfLife, OvernightGap, OvernightIntradayReturn,
+    OvernightIntradayReturnOutput, PainIndex, PairSpreadZScore, PairwiseBeta, ParkinsonVolatility,
+    PearsonCorrelation, PercentAboveMa, PercentB, PercentageTrailingStop, Pgo, PiercingDarkCloud,
+    PlusDi, PlusDm, Pmo, PointAndFigureBars, Ppo, ProfitFactor, Psar, Pvi, QuotedSpread, RSquared,
+    RealizedSpread, RecoveryFactor, RelativeStrengthAB, RelativeStrengthOutput, RenkoBars,
+    RenkoTrailingStop, RickshawMan, RisingThreeMethods, Roc, Rocp, Rocr, Rocr100,
+    RogersSatchellVolatility, RollingCorrelation, RollingCovariance, RollingVwap, RoofingFilter,
+    Rsi, Rvi, RviVolatility, Rwi, RwiOutput, SarExt, SeasonalZScore, SeparatingLines,
+    SessionHighLow, SessionHighLowOutput, SessionRange, SessionRangeOutput, SessionVwap,
+    SharpeRatio, ShootingStar, ShortLine, SignedVolume, SineWave, Skewness, Sma, Smi, Smma,
+    SortinoRatio, SpearmanCorrelation, SpinningTop, SpreadBollingerBands,
+    SpreadBollingerBandsOutput, SpreadHurst, StalledPattern, StandardError, StandardErrorBands,
+    StandardErrorBandsOutput, StarcBands, StarcBandsOutput, Stc, StdDev, StepTrailingStop,
+    StickSandwich, StochRsi, Stochastic, StochasticOutput, SuperSmoother, SuperTrend,
+    SuperTrendOutput, TakerBuySellRatio, Takuri, TasukiGap, TdCombo, TdCountdown, TdDeMarker,
+    TdDifferential, TdLines, TdLinesOutput, TdOpen, TdPressure, TdRangeProjection,
    TdRangeProjectionOutput, TdRei, TdRiskLevel, TdRiskLevelOutput, TdSequential,
    TdSequentialOutput, TdSetup, Tema, TermStructureBasis, ThreeInside, ThreeLineStrike,
-    ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TickIndex, Tii, TpoProfile,
-    TpoProfileOutput, TradeImbalance, TreynorRatio, Trima, Trin, Trix, TrueRange, Tsf, Tsi, Tsv,
-    TtmSqueeze, TtmSqueezeOutput, Tweezer, TwoCrows, TypicalPrice, UlcerIndex, UltimateOscillator,
+    ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TickIndex, Tii,
+    TimeOfDayReturnProfile, TimeOfDayReturnProfileOutput, TpoProfile, TpoProfileOutput,
+    TradeImbalance, TreynorRatio, Trima, Trin, Trix, TrueRange, Tsf, Tsi, Tsv, TtmSqueeze,
+    TtmSqueezeOutput, TurnOfMonth, Tweezer, TwoCrows, TypicalPrice, UlcerIndex, UltimateOscillator,
    UniqueThreeRiver, UpDownVolumeRatio, UpsideGapThreeMethods, UpsideGapTwoCrows, ValueArea,
    ValueAreaOutput, ValueAtRisk, Variance, VarianceRatio, VerticalHorizontalFilter, Vidya,
-    VoltyStop, VolumeOscillator, VolumePriceTrend, VolumeProfile, VolumeProfileOutput, Vortex,
-    VortexOutput, Vwap, VwapStdDevBands, VwapStdDevBandsOutput, Vwma, Vzo, WaveTrend,
-    WaveTrendOutput, WeightedClose, WilliamsFractals, WilliamsFractalsOutput, WilliamsR, Wma,
-    WoodiePivots, WoodiePivotsOutput, YangZhangVolatility, YoyoExit, ZScore, ZeroLagMacd,
-    ZeroLagMacdOutput, ZigZag, ZigZagOutput, Zlema, FAMILIES, T3,
+    VoltyStop, VolumeByTimeProfile, VolumeByTimeProfileOutput, VolumeOscillator, VolumePriceTrend,
+    VolumeProfile, VolumeProfileOutput, Vortex, VortexOutput, Vwap, VwapStdDevBands,
+    VwapStdDevBandsOutput, Vwma, Vzo, WaveTrend, WaveTrendOutput, WeightedClose, WilliamsFractals,
+    WilliamsFractalsOutput, WilliamsR, Wma, WoodiePivots, WoodiePivotsOutput, YangZhangVolatility,
+    YoyoExit, ZScore, ZeroLagMacd, ZeroLagMacdOutput, ZigZag, ZigZagOutput, Zlema, FAMILIES, T3,
 };
 // `FootprintLevel` is a row element of `FootprintOutput`, re-exported on its own
 // line so the indicator-count tooling (which scans the braced block above and
@@ -8,7 +8,7 @@ That includes:
  [Python](https://docs.wickra.org/Quickstart-Python),
  [Node](https://docs.wickra.org/Quickstart-Node), and
  [WASM](https://docs.wickra.org/Quickstart-WASM).
- A per-indicator deep dive for every one of the **339 indicators** across
+- A per-indicator deep dive for every one of the **351 indicators** across
  the sixteen families (Moving Averages, Momentum Oscillators, Trend &
  Directional, Price Oscillators, Volatility & Bands, Bands & Channels,
  Trailing Stops, Volume, Price Statistics, Ehlers / Cycle DSP, Pivots &
@@ -17,7 +17,7 @@
    },
    "../../bindings/node": {
      "name": "wickra",
-      "version": "0.5.0",
+      "version": "0.5.1",
      "license": "MIT OR Apache-2.0",
      "devDependencies": {
        "@napi-rs/cli": "^2.18.0"
@@ -26,12 +26,12 @@
        "node": ">= 18"
      },
      "optionalDependencies": {
-        "wickra-darwin-arm64": "0.5.0",
-        "wickra-darwin-x64": "0.5.0",
-        "wickra-linux-arm64-gnu": "0.5.0",
-        "wickra-linux-x64-gnu": "0.5.0",
-        "wickra-win32-arm64-msvc": "0.5.0",
-        "wickra-win32-x64-msvc": "0.5.0"
+        "wickra-darwin-arm64": "0.5.1",
+        "wickra-darwin-x64": "0.5.1",
+        "wickra-linux-arm64-gnu": "0.5.1",
+        "wickra-linux-x64-gnu": "0.5.1",
+        "wickra-win32-arm64-msvc": "0.5.1",
+        "wickra-win32-x64-msvc": "0.5.1"
      }
    },
    "node_modules/wickra": {
@@ -22,9 +22,7 @@
 //! WeightedClose.

 use libfuzzer_sys::fuzz_target;
-use wickra_core::{
-AbandonedBaby, AccelerationBands, AcceleratorOscillator, AdOscillator, Adl, AdvanceBlock, Adx, Adxr, Alligator, AnchoredVwap, Aroon, AroonOscillator, Atr, AtrBands, AtrTrailingStop, AwesomeOscillator, AwesomeOscillatorHistogram, BalanceOfPower, BatchExt, BeltHold, Breakaway, Camarilla, Candle, Cci, ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandelierExit, ChoppinessIndex, ClassicPivots, ClosingMarubozu, ConcealingBabySwallow, Counterattack, DemandIndex, DemarkPivots, Doji, DojiStar, Donchian, DonchianStop, DownsideGapThreeMethods, DragonflyDoji, Dx, EaseOfMovement, Engulfing, EveningDojiStar, Evwma, FallingThreeMethods, FibonacciPivots, ForceIndex, FractalChaosBands, GapSideBySideWhite, GarmanKlassVolatility, GravestoneDoji, Hammer, HangingMan, Harami, HeikinAshi, HiLoActivator, HighWave, Hikkake, HikkakeModified, HomingPigeon, HurstChannel, Ichimoku, IdenticalThreeCrows, InNeck, Indicator, Inertia, InitialBalance, InvertedHammer, Keltner, Kicking, KickingByLength, Kvo, LadderBottom, LongLeggedDoji, LongLine, MarketFacilitationIndex, Marubozu, MassIndex, MatHold, MatchingLow, AvgPrice, MedianPrice, Mfi, MidPrice, MinusDi, MinusDm, MorningDojiStar, MorningEveningStar, Natr, Nvi, Obv, OnNeck, OpeningMarubozu, OpeningRange, ParkinsonVolatility, Pgo, PiercingDarkCloud, PlusDi, PlusDm, Psar, Pvi, RickshawMan, RisingThreeMethods, RogersSatchellVolatility, RollingVwap, Rvi, Rwi, SarExt, SeparatingLines, ShootingStar, ShortLine, Smi, SpinningTop, StalledPattern, StarcBands, StickSandwich, Stochastic, SuperTrend, Takuri, TasukiGap, TdCombo, TdCountdown, TdDeMarker, TdDifferential, TdLines, TdOpen, TdPressure, TdRangeProjection, TdRei, TdRiskLevel, TdSequential, TdSetup, ThreeInside, ThreeLineStrike, ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TpoProfile, TrueRange, Tsv, TtmSqueeze, Tweezer, TwoCrows, TypicalPrice, UltimateOscillator, UniqueThreeRiver, UpsideGapThreeMethods, UpsideGapTwoCrows, ValueArea, VoltyStop, VolumeOscillator, VolumePriceTrend, VolumeProfile, Vortex, Vwap, VwapStdDevBands, Vwma, Vzo, WaveTrend, WeightedClose, WilliamsFractals, WilliamsR, WoodiePivots, YangZhangVolatility, YoyoExit, ZigZag
-};
+use wickra_core::{AbandonedBaby, AccelerationBands, AcceleratorOscillator, AdOscillator, Adl, AdvanceBlock, Adx, Adxr, Alligator, AnchoredVwap, Aroon, AroonOscillator, Atr, AtrBands, AtrTrailingStop, AverageDailyRange, AwesomeOscillator, AwesomeOscillatorHistogram, BalanceOfPower, BatchExt, BeltHold, Breakaway, Camarilla, Candle, Cci, ChaikinMoneyFlow, ChaikinOscillator, ChaikinVolatility, ChandeKrollStop, ChandelierExit, ChoppinessIndex, ClassicPivots, ClosingMarubozu, ConcealingBabySwallow, Counterattack, DayOfWeekProfile, DemandIndex, DemarkPivots, Doji, DojiStar, Donchian, DonchianStop, DownsideGapThreeMethods, DragonflyDoji, Dx, EaseOfMovement, Engulfing, EveningDojiStar, Evwma, FallingThreeMethods, FibonacciPivots, ForceIndex, FractalChaosBands, GapSideBySideWhite, GarmanKlassVolatility, GravestoneDoji, Hammer, HangingMan, Harami, HeikinAshi, HiLoActivator, HighWave, Hikkake, HikkakeModified, HomingPigeon, HurstChannel, Ichimoku, IdenticalThreeCrows, InNeck, Indicator, Inertia, InitialBalance, IntradayVolatilityProfile, InvertedHammer, Keltner, Kicking, KickingByLength, Kvo, LadderBottom, LongLeggedDoji, LongLine, MarketFacilitationIndex, Marubozu, MassIndex, MatHold, MatchingLow, AvgPrice, MedianPrice, Mfi, MidPrice, MinusDi, MinusDm, MorningDojiStar, MorningEveningStar, Natr, Nvi, Obv, OnNeck, OpeningMarubozu, OpeningRange, OvernightGap, OvernightIntradayReturn, ParkinsonVolatility, Pgo, PiercingDarkCloud, PlusDi, PlusDm, Psar, Pvi, RickshawMan, RisingThreeMethods, RogersSatchellVolatility, RollingVwap, Rvi, Rwi, SarExt, SeasonalZScore, SeparatingLines, SessionHighLow, SessionRange, SessionVwap, ShootingStar, ShortLine, Smi, SpinningTop, StalledPattern, StarcBands, StickSandwich, Stochastic, SuperTrend, Takuri, TasukiGap, TdCombo, TdCountdown, TdDeMarker, TdDifferential, TdLines, TdOpen, TdPressure, TdRangeProjection, TdRei, TdRiskLevel, TdSequential, TdSetup, ThreeInside, ThreeLineStrike, ThreeOutside, ThreeSoldiersOrCrows, ThreeStarsInSouth, Thrusting, TimeOfDayReturnProfile, TpoProfile, TrueRange, Tsv, TtmSqueeze, TurnOfMonth, Tweezer, TwoCrows, TypicalPrice, UltimateOscillator, UniqueThreeRiver, UpsideGapThreeMethods, UpsideGapTwoCrows, ValueArea, VoltyStop, VolumeByTimeProfile, VolumeOscillator, VolumePriceTrend, VolumeProfile, Vortex, Vwap, VwapStdDevBands, Vwma, Vzo, WaveTrend, WeightedClose, WilliamsFractals, WilliamsR, WoodiePivots, YangZhangVolatility, YoyoExit, ZigZag};

 /// Convert a flat `f64` stream into a `Vec<Candle>` by chunking it into
 /// `[open, high, low, close, volume]` groups. Tuples that fail OHLCV
@@ -349,4 +347,29 @@ fuzz_target!(|data: Vec<f64>| {
    drive(TwoCrows::new, &candles);
    drive(UpsideGapTwoCrows::new, &candles);
    drive(IdenticalThreeCrows::new, &candles);
+    // --- Seasonality & Session ---
+    drive(|| VolumeByTimeProfile::new(24, 0).unwrap(), &candles);
+
+    drive(|| IntradayVolatilityProfile::new(24, 0).unwrap(), &candles);
+
+    drive(|| DayOfWeekProfile::new(0), &candles);
+
+    drive(|| TimeOfDayReturnProfile::new(24, 0).unwrap(), &candles);
+
+    drive(|| SeasonalZScore::new(0), &candles);
+
+    drive(|| TurnOfMonth::new(3, 1, 0).unwrap(), &candles);
+
+    drive(|| OvernightIntradayReturn::new(0), &candles);
+
+    drive(|| OvernightGap::new(0), &candles);
+
+    drive(|| AverageDailyRange::new(14, 0).unwrap(), &candles);
+
+    drive(|| SessionRange::new(0), &candles);
+
+    drive(|| SessionHighLow::new(0), &candles);
+
+    drive(|| SessionVwap::new(0), &candles);
+
 });