Add closed-bar rate helpers (v0.6.0) (#26)

* Add closed-bar rate helpers and bump version to 0.6.0.

Expose drop_forming_rate_bar and multi-account collectors so downstream apps no longer need count+1 fetches and manual bar trimming.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Bump pygments to 2.20.0 to fix CVE-2026-4539 ReDoS advisory.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Address PR review feedback on closed-bar rate collection.

Validate count and start_pos before MT5 fetches, avoid redundant frame copies, clarify empty-series errors, and expand test coverage.

Co-authored-by: Cursor <cursoragent@cursor.com>

* Include symbol and timeframe in empty closed-rate error messages.

Co-authored-by: Cursor <cursoragent@cursor.com>

---------

Co-authored-by: Cursor <cursoragent@cursor.com>

.agents/skills/local-qa/SKILL.md

@@ -1,25 +1,22 @@
-# local-qa
+---
+name: local-qa
+description: Run local QA including formatting, linting, and testing for the repository. Use whenever any file has been updated.
+disable-model-invocation: false
+---
 
-Run local QA checks (format, lint, test) on the repository.
+# Local QA (format, lint, and test)
 
-## When to use
+Run the local QA script `scripts/qa.sh` in this skill.
 
-After making changes to repository files, run `scripts/qa.sh` to validate formatting, linting, and tests.
+## Procedure
 
-## Steps
-
-1. Execute `scripts/qa.sh` and capture the results.
-2. Report successes, failures, warnings, and any modified files.
-
-## If tools are missing
-
-Install them following this priority order:
-
-1. Project package managers (`uv`, `poetry`, npm scripts)
-2. System package managers (`brew`, `apt`)
-3. Language-specific installers (`pipx`, `pip`, `npm`, `go install`)
-
-## Constraints
-
-- Only execute QA and tool-installation commands.
-- If installation fails or requires unavailable privileges, report the attempt and exact failure, then stop.
+- Execute the script exactly as shown above when this skill is triggered.
+- Capture and summarize key output (success/failure, major warnings, and any files modified).
+- If the script fails due to missing tooling (`command not found`, missing executable, or equivalent), install the missing tool(s) and rerun `./scripts/qa.sh`.
+- Install tools using this order of preference:
+  1. Use the project's package manager when applicable (`uv`/`poetry` for Python, package manager scripts/dependencies for Node.js).
+  2. Use a system package manager (`brew` on macOS, `apt` on Debian/Ubuntu) when project-local install is not applicable.
+  3. Use language-specific installers as fallback (`pipx`/`pip`, `npm`, `go install`, etc.).
+- If multiple tools are missing, repeat install -> rerun until QA completes or you hit a blocker.
+- If installation fails or requires unavailable privileges, report what was attempted, the exact failure, and stop.
+- Do not run unrelated commands; only run commands needed for QA and missing-tool installation.

.agents/skills/local-qa/scripts/qa.sh

@@ -13,7 +13,14 @@ uv run pytest
 npx -y prettier --write './**/*.md'
 
 # GitHub Actions
-zizmor --fix=safe .github/workflows
-git ls-files -z -- '.github/workflows/*.yml' | xargs -0 -t actionlint
-git ls-files -z -- '.github/workflows/*.yml' | xargs -0 -t yamllint -d '{"extends": "relaxed", "rules": {"line-length": "disable"}}'
-checkov --framework=all --output=github_failed_only --directory=.
+case "${OSTYPE}" in
+  darwin* | linux* )
+    zizmor --fix=safe .github/workflows
+    git ls-files -z -- '.github/workflows/*.yml' | xargs -0 -t actionlint
+    git ls-files -z -- '.github/workflows/*.yml' | xargs -0 -t yamllint -d '{"extends": "relaxed", "rules": {"line-length": "disable"}}'
+    checkov --framework=all --output=github_failed_only --directory=.
+    ;;
+  * )
+    echo "GitHub Actions linting is only supported on Linux and macOS."
+    ;;
+esac

.github/workflows/ci.yml

@@ -35,7 +35,7 @@ jobs:
       || (github.event_name == 'workflow_dispatch' && inputs.workflow == 'lint-and-test')
     permissions:
       contents: read
-    uses: dceoy/gh-actions-for-devops/.github/workflows/python-package-lint-and-scan.yml@main  # zizmor: ignore[unpinned-uses]
+    uses: dceoy/gh-actions-for-devops/.github/workflows/python-package-lint-and-scan.yml@main   # zizmor: ignore[unpinned-uses]
     with:
       package-path: .
       runs-on: windows-latest
@@ -59,23 +59,9 @@ jobs:
     uses: dceoy/gh-actions-for-devops/.github/workflows/python-package-mkdocs-gh-deploy.yml@main  # zizmor: ignore[unpinned-uses]
     with:
       package-path: .
-      mkdocs-theme: material
       runs-on: ubuntu-slim
     secrets:
       GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  python-package-release:
-    if: >
-      github.event_name == 'push'
-      || (github.event_name == 'workflow_dispatch' && inputs.workflow == 'lint-and-test')
-    permissions:
-      contents: write
-      id-token: write
-    uses: dceoy/gh-actions-for-devops/.github/workflows/python-package-release-on-pypi-and-github.yml@main  # zizmor: ignore[unpinned-uses]
-    with:
-      package-path: .
-      create-releases: false
-    secrets:
-      GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
   dependabot-auto-merge:
     if: >
       github.event_name == 'pull_request' && github.actor == 'dependabot[bot]'

.github/workflows/release.yml

@@ -9,84 +9,34 @@ defaults:
     shell: bash -euo pipefail {0}
     working-directory: .
 jobs:
-  build:
+  build-and-release:
     permissions:
       contents: write
       id-token: write
     uses: dceoy/gh-actions-for-devops/.github/workflows/python-package-release-on-pypi-and-github.yml@main  # zizmor: ignore[unpinned-uses]
     with:
       package-path: .
-      create-releases: false
+      create-github-release: true
+      publish-to-pypi: false
     secrets:
       GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-  github-release:
-    name: Sign the Python 🐍 distribution 📦 with Sigstore and upload them to GitHub Release
-    if: >
-      startsWith(github.ref, 'refs/tags/')
-    needs:
-      - build
-    runs-on: ubuntu-latest
-    permissions:
-      contents: write  # IMPORTANT: mandatory for making GitHub Releases
-      id-token: write  # IMPORTANT: mandatory for sigstore
-    steps:
-      - name: Download all the dists
-        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
-        with:
-          name: ${{ needs.build.outputs.distribution-artifact-name }}
-          path: dist/
-      - name: Validate the version-tag consistency
-        env:
-          TAG_NAME: ${{ github.ref_name }}
-          NEEDS_BUILD_OUTPUTS_PROJECT_NAME: ${{ needs.build.outputs.project-name }}
-        run: |
-          v="$( \
-            find dist -type f -name "${NEEDS_BUILD_OUTPUTS_PROJECT_NAME}-*" -exec basename {} \; \
-              | head -n 1 \
-              | cut -d '-' -f 2 \
-          )"
-          v="${v%.tar.gz}"
-          if [[ "${TAG_NAME}" != "${v}" ]] && [[ "${TAG_NAME}" != "v${v}" ]]; then
-            echo "The tag (${TAG_NAME}) is inconsistent with the version (${v})." && exit 1
-          fi
-      - name: Sign the dists with Sigstore
-        uses: sigstore/gh-action-sigstore-python@04cffa1d795717b140764e8b640de88853c92acc  # v3.3.0
-        with:
-          inputs: >-
-            ./dist/*.whl
-      - name: Create GitHub Release
-        env:
-          REPOSITORY: ${{ github.repository }}
-          GH_TOKEN: ${{ secrets.GH_TOKEN || secrets.GITHUB_TOKEN }}  # zizmor: ignore[secrets-outside-env] caller-provided secret
-        run: |
-          gh release create "${GITHUB_REF_NAME}" --repo "${REPOSITORY}" --generate-notes --verify-tag
-      - name: Upload artifact signatures to GitHub Release
-        env:
-          REPOSITORY: ${{ github.repository }}
-          GH_TOKEN: ${{ secrets.GH_TOKEN || secrets.GITHUB_TOKEN }}  # zizmor: ignore[secrets-outside-env] caller-provided secret
-        # Upload to GitHub Release using the `gh` CLI.
-        # `dist/` contains the built packages, and the
-        # sigstore-produced signatures and certificates.
-        run: |
-          gh release upload "${GITHUB_REF_NAME}" dist/** --repo "${REPOSITORY}"
   publish-to-pypi:
     name: Publish the Python 🐍 distribution 📦 to PyPI
     if: >
       startsWith(github.ref, 'refs/tags/')
     needs:
-      - build
-      - github-release
+      - build-and-release
     runs-on: ubuntu-latest
     environment:
       name: pypi
-      url: https://pypi.org/p/${{ needs.build.outputs.project-name }}
+      url: https://pypi.org/p/${{ needs.build-and-release.outputs.project-name }}
     permissions:
       id-token: write  # IMPORTANT: mandatory for trusted publishing
     steps:
       - name: Download all the dists
         uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c  # v8.0.1
         with:
-          name: ${{ needs.build.outputs.distribution-artifact-name }}
+          name: ${{ needs.build-and-release.outputs.distribution-artifact-name }}
           path: dist/
       - name: Publish distribution 📦 to PyPI
         uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b  # v1.14.0

AGENTS.md

@@ -29,9 +29,11 @@ uv sync
 - `mt5cli/`: Main package directory
   - `__init__.py`: Package initialization and exports (`detect_format`, `export_dataframe`)
   - `cli.py`: CLI application with typer-based commands for data export
+  - `utils.py`: Constants, enums, parameter types, parsers, and export utilities
   - `__main__.py`: Entry point for `python -m mt5cli`
 - `tests/`: Comprehensive test suite (pytest-based)
-  - `test_cli.py`: Tests for CLI commands, parameter types, and export functions
+  - `test_cli.py`: Tests for CLI commands and collect-history behavior
+  - `test_utils.py`: Tests for utility constants, parameter types, parsers, and export functions
 - `docs/`: MkDocs documentation with API reference
   - `docs/index.md`: Main documentation
   - `docs/api/`: Auto-generated API documentation for all modules

README.md

@@ -13,6 +13,7 @@ Built on top of [pdmt5](https://github.com/dceoy/pdmt5), a pandas-based data han
 - **Comprehensive data access**: Rates, ticks, account info, symbols, orders, positions, and trading history
 - **Flexible timeframes**: Named timeframes (M1, H1, D1, etc.) and numeric values
 - **Connection management**: Optional credentials, server, and timeout configuration
+- **SQLite rate loading**: Load mt5cli-managed rate tables/views for offline workflows
 
 ## Installation
 
@@ -50,21 +51,112 @@ python -m mt5cli -o account.csv account-info
 
 ## Commands
 
-| Command          | Description                        |
-| ---------------- | ---------------------------------- |
-| `rates-from`     | Export rates from a start date     |
-| `rates-from-pos` | Export rates from a start position |
-| `rates-range`    | Export rates for a date range      |
-| `ticks-from`     | Export ticks from a start date     |
-| `ticks-range`    | Export ticks for a date range      |
-| `account-info`   | Export account information         |
-| `terminal-info`  | Export terminal information        |
-| `symbols`        | Export symbol list                 |
-| `symbol-info`    | Export symbol details              |
-| `orders`         | Export active orders               |
-| `positions`      | Export open positions              |
-| `history-orders` | Export historical orders           |
-| `history-deals`  | Export historical deals            |
+| Command                | Description                                                                                                  |
+| ---------------------- | ------------------------------------------------------------------------------------------------------------ |
+| `rates-from`           | Export rates from a start date                                                                               |
+| `rates-from-pos`       | Export rates from a start position                                                                           |
+| `latest-rates`         | Export latest rates from a start position                                                                    |
+| `rates-range`          | Export rates for a date range                                                                                |
+| `ticks-from`           | Export ticks from a start date                                                                               |
+| `ticks-range`          | Export ticks for a date range                                                                                |
+| `ticks-recent`         | Export ticks from a recent trailing window                                                                   |
+| `account-info`         | Export account information                                                                                   |
+| `terminal-info`        | Export terminal information                                                                                  |
+| `version`              | Export MetaTrader 5 version information                                                                      |
+| `last-error`           | Export the last error information                                                                            |
+| `symbols`              | Export symbol list                                                                                           |
+| `symbol-info`          | Export symbol details                                                                                        |
+| `symbol-info-tick`     | Export the last tick for a symbol                                                                            |
+| `minimum-margins`      | Export minimum-volume buy and sell margin requirements                                                       |
+| `market-book`          | Export market depth (order book)                                                                             |
+| `orders`               | Export active orders                                                                                         |
+| `positions`            | Export open positions                                                                                        |
+| `history-orders`       | Export historical orders                                                                                     |
+| `history-deals`        | Export historical deals                                                                                      |
+| `recent-history-deals` | Export historical deals from a recent trailing window                                                        |
+| `mt5-summary`          | Export terminal/account status summary                                                                       |
+| `order-check`          | Check funds sufficiency for a trade request                                                                  |
+| `order-send`           | Send a trade request to the trade server (`--yes` required)                                                  |
+| `collect-history`      | Bundle rates, ticks, history-orders, and history-deals for one or more symbols into a single SQLite database |
+
+Use `order-check` to validate a request payload before running `order-send --yes`.
+
+### `collect-history`
+
+Collect several historical datasets per symbol into one SQLite database in a single MT5 session. Pick datasets with repeatable `--dataset` (default: all four), choose conflict behavior with `--if-exists append|replace|fail` (default: `fail`), and optionally derive `cash_events` / `positions_reconstructed` views from `history_deals` via `--with-views`.
+
+```bash
+mt5cli -o history.db collect-history \
+  --symbol EURUSD --symbol GBPUSD \
+  --date-from 2024-01-01 --date-to 2024-02-01 \
+  --dataset rates --dataset history-deals \
+  --timeframe M1 --flags ALL --if-exists append --with-views
+```
+
+History orders and deals are fetched per symbol and concatenated, so the symbol filter is applied consistently across all datasets. The `cash_events` view is derived from symbol-filtered `history_deals`, so account-level cash events with empty or non-matching symbols may be excluded. The `rates` table records the requested `timeframe` so appended runs at different timeframes remain distinguishable. The `positions_reconstructed` view aggregates trade deals by `position_id`, excludes positions without closing-side entries, and uses volume-weighted open/close prices; reversal deals (`DEAL_ENTRY_INOUT`) are reported via `volume_reversal` / `reversal_count` columns.
+
+### Incremental history SDK
+
+For automated pipelines, use the importable incremental API instead of re-fetching fixed date ranges:
+
+```python
+from pdmt5 import Mt5Config, Mt5DataClient
+from mt5cli import Dataset, update_history, update_history_with_config
+
+# Reuse an already-connected pdmt5 client (does not open/close MT5)
+client = Mt5DataClient(config=Mt5Config(login=12345))
+client.initialize_and_login_mt5()
+try:
+    update_history(
+        client=client,
+        output="history.db",
+        symbols=["EURUSD", "GBPUSD"],
+        datasets={Dataset.rates, Dataset.history_deals},
+        timeframes=["M1", "H1"],  # default: all fixed MT5 timeframes
+        lookback_hours=24,
+        create_rate_views=True,
+        with_views=True,
+        include_account_events=True,
+    )
+finally:
+    client.shutdown()
+
+# Standalone wrapper that opens and closes MT5 for you
+update_history_with_config(
+    output="history.db",
+    symbols=["EURUSD"],
+    config=Mt5Config(login=12345),
+)
+```
+
+- **`collect-history`**: explicit date-range export into SQLite.
+- **`update_history`**: incremental append based on existing SQLite `MAX(time)` per symbol (and timeframe for rates); account-level deals use a separate cursor when `include_account_events=True`.
+- **`rates` table**: normalized storage with `symbol` and `timeframe` columns.
+- **Rate compatibility views**: mt5cli manages all `rate_*` views. Naming is `rate_<symbol>__<timeframe>` when a symbol has one timeframe, otherwise `rate_<symbol>__<granularity>_<timeframe>` (for example `rate_EURUSD__M1_1`). Stale `rate_*` views are dropped and recreated when rates change for offline tools such as mteor optimize.
+- **Rate view resolution**: use `resolve_rate_view_name()` / `resolve_rate_view_names()` to map symbols and granularities to existing SQLite compatibility views without creating databases. Both accept `None` (or a missing path) and return deterministic default names unless `require_existing=True`.
+- **Rate view loading**: use `load_rate_data()` / `load_rate_data_from_connection()` to load a SQLite rate table or view into a `DatetimeIndex` DataFrame.
+- **Multi-series rate loading**: use `build_rate_targets()` to build neutral `RateTarget(symbol, timeframe)` pairs, `resolve_rate_tables()` to map them to table/view names (pass `require_existing=True` for strict resolution), and `load_rate_series_from_sqlite()` to load them into a mapping keyed by `(symbol, integer timeframe)`. The loader requires existing managed views unless `explicit_tables` is supplied, and rejects duplicate `(symbol, timeframe)` targets.
+- **Multi-account latest rates**: use `collect_latest_rates_for_accounts()` with `AccountSpec` to read the latest bars for several account groups, merged into a `(symbol, integer timeframe)` mapping. For long-running pollers, `collect_latest_rates_for_accounts_with_retries()` adds bounded exponential backoff that retries only `pdmt5.Mt5TradingError` / `pdmt5.Mt5RuntimeError` and re-raises once `retry_count` is exhausted.
+- **Latest closed bars**: use `collect_latest_closed_rates_for_accounts()` when downstream logic must exclude the still-forming current bar. It fetches `count + 1` bars at `start_pos=0`, drops the last row with `drop_forming_rate_bar()`, and validates each series is non-empty. `collect_latest_closed_rates_by_granularity()` returns the same data keyed by `(symbol, granularity_name)` such as `("EURUSD", "M1")`.
+
+```python
+from mt5cli import AccountSpec, collect_latest_closed_rates_by_granularity
+
+rates = collect_latest_closed_rates_by_granularity(
+    [AccountSpec(symbols=["EURUSD", "GBPUSD"], login=12345)],
+    ["M1", "H1"],
+    count=500,
+    retry_count=3,
+)
+eurusd_m1 = rates["EURUSD", "M1"]  # closed bars only
+```
+
+- **Credential resolution**: use `resolve_account_spec()` / `resolve_account_specs()` to merge explicit override values over `AccountSpec` fields and expand `${ENV_VAR}` placeholders (via `substitute_env_placeholders()`), raising `ValueError` for missing variables. This keeps secrets out of plan/config files without coupling to any strategy code.
+- **Throttled history updates**: use `ThrottledHistoryUpdater` to wrap `update_history()` with a minimum `interval_seconds` between successful runs (monotonic clock). Call `should_update()` / `update(client, symbols)` from an application loop; errors propagate by default, or pass `suppress_errors=True` to swallow recoverable `Mt5*Error`/`sqlite3.Error` and let the caller decide logging.
+- **Granularity-keyed rate loading**: `load_rate_series_by_granularity()` builds targets with `build_rate_targets()`, loads them with `load_rate_series_from_sqlite()`, and returns a mapping keyed by `(symbol | None, granularity_name)` such as `("EURUSD", "M1")` to reduce downstream boilerplate.
+- **MT5 session helper**: use the `mt5_session()` context manager to attach to (or, when `Mt5Config.path` is set, launch) an MT5 terminal, log in, and yield a connected `Mt5CliClient` that shuts down on exit.
+- **SQLite export helpers**: use `export_dataframe_to_sqlite()` for append mode, optional index export, and post-write deduplication by key columns.
+- **Recent ticks and margins**: `recent_ticks()` and `minimum_margins()` SDK helpers (and matching CLI commands) cover common downstream read-only queries.
 
 ## Requirements
 

docs/api/history.md

@@ -0,0 +1,229 @@
+# History Collection (SQLite)
+
+::: mt5cli.history
+
+## `collect-history` schema
+
+The `collect-history` command (and the matching `collect_history` SDK function) writes
+selected MT5 datasets into one SQLite database. Each dataset becomes a table; column
+names and types mirror the pdmt5 DataFrame schema for that export, with two additions:
+
+- `symbol` is prepended on every table.
+- `timeframe` is prepended on `rates` so appended runs at different bar sizes stay
+  distinguishable.
+
+SQLite does not declare foreign keys. Rows are linked logically by `symbol`, time
+windows, and (for deals) `position_id` / `order`. Duplicate rows are removed on
+append using dataset-specific keys (for example `ticket` on history tables, or
+`(symbol, timeframe, time)` on rates).
+
+Optional views are created when `--with-views` is set and the `history-deals` dataset
+was written.
+
+### Entity-relationship diagram
+
+Sample layout for a full collection with `--with-views`:
+
+```mermaid
+erDiagram
+    rates {
+        TEXT symbol "dedup key"
+        INTEGER timeframe "dedup key"
+        TEXT time "dedup key"
+        REAL open
+        REAL high
+        REAL low
+        REAL close
+        INTEGER tick_volume
+        INTEGER spread
+        INTEGER real_volume
+    }
+
+    ticks {
+        TEXT symbol "dedup key"
+        TEXT time "dedup key"
+        INTEGER time_msc "dedup key (preferred)"
+        REAL bid
+        REAL ask
+        REAL last
+        INTEGER volume
+        INTEGER flags
+        REAL volume_real
+    }
+
+    history_orders {
+        INTEGER ticket "dedup key"
+        TEXT symbol
+        TEXT time
+        INTEGER type
+        INTEGER state
+        REAL volume_initial
+        REAL price_open
+        REAL price_current
+        INTEGER magic
+    }
+
+    history_deals {
+        INTEGER ticket "dedup key"
+        INTEGER order
+        INTEGER position_id "groups position view"
+        TEXT symbol
+        TEXT time
+        INTEGER type "0/1 trade, else cash event"
+        INTEGER entry "0 IN, 1 OUT, 2 INOUT, 3 OUT_BY"
+        REAL volume
+        REAL price
+        REAL profit
+        REAL commission
+        REAL swap
+        REAL fee
+    }
+
+    cash_events {
+        INTEGER ticket
+        TEXT symbol
+        TEXT time
+        INTEGER type
+        REAL profit
+    }
+
+    positions_reconstructed {
+        INTEGER position_id
+        TEXT symbol
+        TEXT open_time
+        TEXT close_time
+        INTEGER direction
+        REAL volume_open
+        REAL volume_close
+        REAL volume_reversal
+        REAL open_price
+        REAL close_price
+        REAL total_profit
+        INTEGER reversal_count
+        INTEGER deals_count
+    }
+
+    rates ||--o{ history_deals : "symbol (logical)"
+    ticks ||--o{ history_deals : "symbol (logical)"
+    history_orders ||--o{ history_deals : "order ~ ticket (logical)"
+    history_deals ||--|| cash_events : "VIEW: type NOT IN (0,1)"
+    history_deals ||--o{ positions_reconstructed : "VIEW: GROUP BY position_id"
+```
+
+### Tables and views
+
+| Object                    | Kind  | Source               | Notes                                                                                       |
+| ------------------------- | ----- | -------------------- | ------------------------------------------------------------------------------------------- |
+| `rates`                   | table | `copy_rates_range`   | Indexed on `(symbol, timeframe, time)` when columns exist.                                  |
+| `ticks`                   | table | `copy_ticks_range`   | Indexed on `(symbol, time)` when columns exist.                                             |
+| `history_orders`          | table | `history_orders_get` | Fetched per `--symbol`, then concatenated.                                                  |
+| `history_deals`           | table | `history_deals_get`  | Fetched per `--symbol`, then concatenated. Indexed on `(position_id, symbol)` when present. |
+| `cash_events`             | view  | `history_deals`      | Non-trade deal types (deposits, balance ops, etc.). Requires `type` column.                 |
+| `positions_reconstructed` | view  | `history_deals`      | One row per closed `position_id`; volume-weighted prices and reversal stats.                |
+
+Column sets can vary with terminal and pdmt5 version. Views are skipped with a warning
+when required columns are missing.
+
+### Incremental collection
+
+The `update_history` SDK path uses the same base tables and optional
+`cash_events` / `positions_reconstructed` views. It additionally maintains
+`rate_<symbol>__<timeframe>` compatibility views when `create_rate_views=True`.
+
+### Rate view resolution
+
+Downstream tools can resolve mt5cli-managed compatibility view names from an
+existing SQLite history database without creating files or guessing naming
+schemes:
+
+```python
+from pathlib import Path
+
+from mt5cli.history import resolve_rate_view_name, resolve_rate_view_names
+
+# Single symbol and granularity
+view = resolve_rate_view_name(Path("history.db"), "EURUSD", "M1")
+
+# Batch resolution in row-major order
+views = resolve_rate_view_names(
+    Path("history.db"),
+    ["EURUSD", "GBPUSD"],
+    ["M1", "H1"],
+)
+```
+
+Resolution rules:
+
+- Returns `rate_<symbol>__<timeframe>` when a symbol stores one timeframe.
+- Returns `rate_<symbol>__<granularity>_<timeframe>` when multiple timeframes
+  are stored for the same symbol.
+- When multiple naming candidates apply, prefers an existing managed
+  `rate_*__*` view from the candidate list.
+- Falls back to single-timeframe naming when the database path is missing or
+  `rates` metadata is unavailable.
+- Pass `require_existing=True` to raise `ValueError` instead of returning a
+  best-guess name when the database or view is missing.
+- Accepts either a SQLite path or an open `sqlite3.Connection`.
+
+### Rate data loading
+
+Use `load_rate_data()` to load a table or view from a SQLite path, or
+`load_rate_data_from_connection()` when you already have a connection:
+
+```python
+from pathlib import Path
+
+from mt5cli import load_rate_data
+from mt5cli.history import resolve_rate_view_name
+
+view = resolve_rate_view_name(Path("history.db"), "EURUSD", "M1", require_existing=True)
+rates = load_rate_data(Path("history.db"), view, count=1000)
+```
+
+The loader accepts close-based OHLC rate data or tick-like bid/ask data. It
+validates that `time` exists, parses timestamps with pandas, and returns a
+DataFrame indexed by ascending `DatetimeIndex` named `time`.
+
+### Multi-series rate loading
+
+For loading many rate series at once, build neutral `RateTarget` pairs and load
+them from SQLite in one call. View names are resolved via the same
+compatibility-view rules, or you can pass `explicit_tables` to bypass resolution:
+
+```python
+from pathlib import Path
+
+from mt5cli import build_rate_targets, load_rate_series_from_sqlite
+
+targets = build_rate_targets(["EURUSD", "GBPUSD"], ["M1", "H1"])
+series = load_rate_series_from_sqlite(Path("history.db"), targets, count=1000)
+frame = series["EURUSD", 1]  # keyed by (symbol, integer timeframe)
+```
+
+- `build_rate_targets()` returns `RateTarget(symbol, timeframe)` pairs in
+  row-major order, normalizing timeframe names such as `"M1"` to their integer
+  values; set `allow_missing_symbol=True` to address series solely by
+  `explicit_tables` (targets carry `symbol=None`).
+- `resolve_rate_tables()` maps targets to table or view names and validates that
+  any `explicit_tables` count matches the target count. Pass
+  `require_existing=True` to raise `ValueError` instead of returning a
+  best-guess name when the database or managed view is missing. When
+  `explicit_tables` is provided, names are returned as-is and
+  `require_existing` is ignored.
+- `load_rate_series_from_sqlite()` returns a mapping keyed by
+  `(symbol, integer timeframe)`. Unless `explicit_tables` is supplied, it
+  requires existing managed `rate_*` compatibility views and raises
+  `ValueError` when they are missing. Duplicate `(symbol, timeframe)` targets
+  are rejected.
+- `load_rate_series_by_granularity()` is a thin wrapper that builds the targets,
+  loads the series, and rekeys the result by granularity name to avoid
+  converting integer timeframes downstream:
+
+  ```python
+  from mt5cli import load_rate_series_by_granularity
+
+  series = load_rate_series_by_granularity(
+      "history.db", ["EURUSD"], ["M1", "H1"], count=1000
+  )
+  frame = series["EURUSD", "M1"]  # keyed by (symbol | None, granularity_name)
+  ```

docs/api/index.md

@@ -10,12 +10,26 @@ The mt5cli package consists of the following modules:
 
 Command-line interface module providing typer-based commands for exporting MetaTrader 5 data to CSV, JSON, Parquet, and SQLite3 formats.
 
+### [Utils](utils.md)
+
+Utility module providing constants, enums, Click parameter types, and helper functions for parsing and exporting data.
+
+### [SDK](sdk.md)
+
+Programmatic SDK for read-only MetaTrader 5 data collection. Returns pandas DataFrames and provides `collect_history` for SQLite bulk collection.
+
+### [History Collection (SQLite)](history.md)
+
+SQLite storage helpers for the `collect-history` command schema, incremental updates, deduplication, indexes, and optional views.
+
 ## Architecture Overview
 
 The package follows a simple architecture built on top of pdmt5:
 
-1. **CLI Layer** (`cli.py`): Typer application with subcommands for each data type, custom Click parameter types for datetime/timeframe/tick flags parsing, and format detection/export utilities.
-2. **Data Layer** (via `pdmt5`): Uses `Mt5DataClient` and `Mt5Config` from the pdmt5 package for all MetaTrader 5 data access.
+1. **CLI Layer** (`cli.py`): Typer application with subcommands that delegate to the SDK and export results.
+2. **SDK Layer** (`sdk.py`): Read-only data access functions, `Mt5CliClient`, and `collect_history` orchestration.
+3. **Utils Layer** (`utils.py`): Constants, enums, custom Click parameter types, parsing helpers, and format detection/export utilities.
+4. **Data Layer** (via `pdmt5`): Uses `Mt5DataClient` and `Mt5Config` from the pdmt5 package for all MetaTrader 5 data access.
 
 ## Usage Guidelines
 
@@ -47,15 +61,58 @@ mt5cli -o data.db --table symbols symbols --group "*USD*"
 ## Python API
 
 ```python
-from mt5cli import detect_format, export_dataframe
-import pandas as pd
+from datetime import UTC, datetime
+from pathlib import Path
+
+from mt5cli import (
+    Dataset,
+    IfExists,
+    Mt5CliClient,
+    collect_history,
+    copy_rates_range,
+    detect_format,
+    export_dataframe,
+    export_dataframe_to_sqlite,
+    minimum_margins,
+    recent_ticks,
+)
+from mt5cli.history import resolve_rate_view_name
+
+# Fetch rates programmatically
+rates = copy_rates_range(
+    "EURUSD",
+    timeframe="H1",
+    date_from="2024-01-01",
+    date_to="2024-02-01",
+)
 
 # Detect output format from file extension
 fmt = detect_format(Path("output.parquet"))  # Returns "parquet"
 
 # Export a DataFrame
-df = pd.DataFrame({"symbol": ["EURUSD"], "bid": [1.1234]})
-export_dataframe(df, Path("output.csv"), "csv")
+export_dataframe(rates, Path("output.csv"), "csv")
+
+# Append to SQLite with deduplication
+export_dataframe_to_sqlite(
+    rates,
+    Path("history.db"),
+    "rates",
+    if_exists=IfExists.APPEND,
+    deduplicate_on=("symbol", "timeframe", "time"),
+)
+
+# Resolve rate compatibility views and fetch recent ticks
+view = resolve_rate_view_name(Path("history.db"), "EURUSD", "M1")
+ticks = recent_ticks("EURUSD", seconds=300)
+margins = minimum_margins("EURUSD")
+
+# Collect history into SQLite
+collect_history(
+    Path("history.db"),
+    symbols=["EURUSD"],
+    date_from=datetime(2024, 1, 1, tzinfo=UTC),
+    date_to=datetime(2024, 2, 1, tzinfo=UTC),
+)
 ```
 
 ## Examples

docs/api/sdk.md

@@ -0,0 +1,103 @@
+# SDK Module
+
+::: mt5cli.sdk
+
+## Resilient multi-account orchestration
+
+The SDK ships strategy-agnostic helpers for building long-running collectors on
+top of the read-only client. None of them depend on a particular trading
+application.
+
+### Retrying transient rate collection
+
+`collect_latest_rates_for_accounts_with_retries()` wraps
+`collect_latest_rates_for_accounts()` with bounded exponential backoff. Only
+`pdmt5.Mt5TradingError` and `pdmt5.Mt5RuntimeError` are retried; the final
+failure is re-raised once `retry_count` is exhausted.
+
+```python
+from mt5cli import AccountSpec, collect_latest_rates_for_accounts_with_retries
+
+accounts = [AccountSpec(symbols=["EURUSD"], login=12345)]
+rates = collect_latest_rates_for_accounts_with_retries(
+    accounts,
+    ["M1", "H1"],
+    count=500,
+    retry_count=3,
+    backoff_base=2,  # sleeps 2s, 4s, 8s between attempts
+)
+```
+
+### Latest closed rate bars
+
+MetaTrader 5 `start_pos=0` includes the still-forming current bar as the last
+row. `collect_latest_closed_rates_for_accounts()` fetches `count + 1` bars,
+drops that row with `drop_forming_rate_bar()`, and validates each series is
+non-empty. Use `collect_latest_closed_rates_by_granularity()` when callers
+prefer keys such as `("EURUSD", "M1")` instead of integer timeframes.
+
+```python
+from mt5cli import AccountSpec, collect_latest_closed_rates_by_granularity
+
+rates = collect_latest_closed_rates_by_granularity(
+    [AccountSpec(symbols=["EURUSD"], login=12345)],
+    ["M1", "H1"],
+    count=500,
+    retry_count=3,
+)
+closed_m1 = rates["EURUSD", "M1"]
+```
+
+### Resolving credentials and `${ENV_VAR}` placeholders
+
+`resolve_account_spec()` / `resolve_account_specs()` merge explicit override
+values over `AccountSpec` fields and expand `${ENV_VAR}` placeholders, keeping
+secrets out of plan/config files. A missing environment variable raises
+`ValueError`.
+
+```python
+import os
+
+from mt5cli import AccountSpec, resolve_account_specs
+
+os.environ["MT5_LOGIN"] = "12345"
+os.environ["MT5_PASSWORD"] = "secret"
+accounts = [
+    AccountSpec(symbols=["EURUSD"], login="${MT5_LOGIN}", password="${MT5_PASSWORD}")
+]
+
+resolved = resolve_account_specs(accounts, server="Broker-Demo")
+# resolved[0].login == "12345", resolved[0].server == "Broker-Demo"
+```
+
+### Throttled incremental history updates
+
+`ThrottledHistoryUpdater` wraps `update_history()` with a minimum interval
+between successful runs (using a monotonic clock), so an application loop can
+call it every iteration without over-fetching.
+
+```python
+from pdmt5 import Mt5Config, Mt5DataClient
+
+from mt5cli import Dataset, ThrottledHistoryUpdater
+
+updater = ThrottledHistoryUpdater(
+    output="history.db",
+    datasets={Dataset.rates},
+    timeframes=["M1"],
+    interval_seconds=60,  # <= 0 updates on every call
+)
+
+client = Mt5DataClient(config=Mt5Config(login=12345))
+client.initialize_and_login_mt5()
+try:
+    while True:
+        updater.update(client, ["EURUSD", "GBPUSD"])  # no-op until 60s elapse
+        # ... do other work; break when shutting down ...
+finally:
+    client.shutdown()
+```
+
+By default `Mt5TradingError`, `Mt5RuntimeError`, and `sqlite3.Error` propagate so
+the caller controls logging; pass `suppress_errors=True` to swallow them and
+return `False` without advancing the throttle.

docs/api/utils.md

@@ -0,0 +1,3 @@
+# Utils Module
+
+::: mt5cli.utils

docs/index.md

@@ -13,6 +13,7 @@ mt5cli is a CLI application that exports MetaTrader 5 trading data to multiple f
 - **Comprehensive data access**: Rates, ticks, account info, symbols, orders, positions, and trading history
 - **Flexible timeframes**: Named timeframes (M1, H1, D1, etc.) and numeric values
 - **Connection management**: Optional credentials, server, and timeout configuration
+- **SQLite rate loading**: Load mt5cli-managed rate tables/views for offline workflows
 
 ## Installation
 
@@ -20,6 +21,67 @@ mt5cli is a CLI application that exports MetaTrader 5 trading data to multiple f
 pip install mt5cli
 ```
 
+## Programmatic usage / SDK usage
+
+mt5cli can be used as a small Python SDK for read-only MetaTrader 5 data collection. SDK functions return pandas DataFrames without writing files. Use `export_dataframe` or `export_dataframe_to_sqlite` when you need to persist results.
+
+```python
+from datetime import UTC, datetime
+from pathlib import Path
+
+from mt5cli import (
+    Mt5CliClient,
+    collect_history,
+    copy_rates_range,
+    export_dataframe,
+    export_dataframe_to_sqlite,
+    load_rate_data,
+    minimum_margins,
+    recent_ticks,
+)
+from mt5cli.history import resolve_rate_view_name
+
+# One-off fetch with module-level helpers
+rates = copy_rates_range(
+    "EURUSD",
+    timeframe="H1",
+    date_from="2024-01-01",
+    date_to="2024-02-01",
+)
+export_dataframe(rates, Path("rates.csv"), "csv")
+
+# Resolve SQLite rate compatibility views for downstream tools
+view = resolve_rate_view_name(Path("history.db"), "EURUSD", "M1", require_existing=True)
+offline_rates = load_rate_data(Path("history.db"), view, count=1000)
+
+# Recent tick window and minimum margin summary
+ticks = recent_ticks("EURUSD", seconds=300)
+margins = minimum_margins("EURUSD")
+
+# Reuse one MT5 connection for multiple calls
+with Mt5CliClient(login=12345, password="secret", server="Broker-Demo") as client:
+    account = client.account_info()
+    positions = client.positions()
+    latest = client.latest_rates("EURUSD", "M1", count=100)
+    summary = client.mt5_summary()
+    summary_table = client.mt5_summary_as_df()
+
+# Bulk SQLite collection (same behavior as the collect-history CLI command)
+collect_history(
+    Path("history.db"),
+    symbols=["EURUSD", "GBPUSD"],
+    date_from=datetime(2024, 1, 1, tzinfo=UTC),
+    date_to=datetime(2024, 2, 1, tzinfo=UTC),
+    timeframe="M1",
+    flags="ALL",
+    with_views=True,
+)
+```
+
+Timeframes, tick flags, and ISO 8601 date strings are accepted wherever noted in the SDK API.
+
+`Mt5CliClient.mt5_summary()` returns the SDK structured form as plain nested Python values. Use `Mt5CliClient.mt5_summary_as_df()` when you need a one-row DataFrame for export. The `mt5-summary` CLI command uses this tabular form, so nested terminal/account fields are JSON-encoded strings that are safe for CSV, JSON, Parquet, and SQLite output.
+
 ## Quick Start
 
 ```bash
@@ -50,32 +112,76 @@ mt5cli --login 12345 --password mypass --server MyBroker-Demo \
 | ---------------- | ---------------------------------- |
 | `rates-from`     | Export rates from a start date     |
 | `rates-from-pos` | Export rates from a start position |
+| `latest-rates`   | Export latest rates                |
 | `rates-range`    | Export rates for a date range      |
 
 ### Ticks
 
-| Command       | Description                    |
-| ------------- | ------------------------------ |
-| `ticks-from`  | Export ticks from a start date |
-| `ticks-range` | Export ticks for a date range  |
+| Command        | Description                         |
+| -------------- | ----------------------------------- |
+| `ticks-from`   | Export ticks from a start date      |
+| `ticks-range`  | Export ticks for a date range       |
+| `ticks-recent` | Export ticks from a trailing window |
 
 ### Information
 
-| Command         | Description                 |
-| --------------- | --------------------------- |
-| `account-info`  | Export account information  |
-| `terminal-info` | Export terminal information |
-| `symbols`       | Export symbol list          |
-| `symbol-info`   | Export symbol details       |
+| Command            | Description                             |
+| ------------------ | --------------------------------------- |
+| `account-info`     | Export account information              |
+| `terminal-info`    | Export terminal information             |
+| `version`          | Export MetaTrader 5 version information |
+| `last-error`       | Export the last error information       |
+| `symbols`          | Export symbol list                      |
+| `symbol-info`      | Export symbol details                   |
+| `symbol-info-tick` | Export the last tick for a symbol       |
+| `minimum-margins`  | Export minimum-volume margin summary    |
+| `market-book`      | Export market depth (order book)        |
 
 ### Trading
 
-| Command          | Description              |
-| ---------------- | ------------------------ |
-| `orders`         | Export active orders     |
-| `positions`      | Export open positions    |
-| `history-orders` | Export historical orders |
-| `history-deals`  | Export historical deals  |
+| Command                | Description                                                 |
+| ---------------------- | ----------------------------------------------------------- |
+| `orders`               | Export active orders                                        |
+| `positions`            | Export open positions                                       |
+| `history-orders`       | Export historical orders                                    |
+| `history-deals`        | Export historical deals                                     |
+| `recent-history-deals` | Export historical deals from a trailing window              |
+| `mt5-summary`          | Export terminal/account status summary                      |
+| `order-check`          | Check funds sufficiency for a trade request                 |
+| `order-send`           | Send a trade request to the trade server (`--yes` required) |
+
+Use `order-check` to validate a request payload before running `order-send --yes`.
+
+### Bulk Collection
+
+| Command           | Description                                                                                                                                        |
+| ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `collect-history` | Collect rates, ticks, history-orders, and history-deals for one or more symbols into a single SQLite database (optional cash-event/position views) |
+
+```bash
+mt5cli -o history.db collect-history \
+  --symbol EURUSD --symbol GBPUSD \
+  --date-from 2024-01-01 --date-to 2024-02-01 \
+  --dataset rates --dataset history-deals \
+  --timeframe M1 --flags ALL --if-exists append --with-views
+```
+
+`collect-history` options:
+
+| Option         | Default    | Description                                                                                   |
+| -------------- | ---------- | --------------------------------------------------------------------------------------------- |
+| `--symbol/-s`  | _required_ | Symbol to collect (repeat for multiple).                                                      |
+| `--date-from`  | _required_ | Start date in ISO 8601.                                                                       |
+| `--date-to`    | _required_ | End date in ISO 8601.                                                                         |
+| `--dataset`    | all four   | Repeatable: `rates`, `ticks`, `history-orders`, `history-deals`.                              |
+| `--timeframe`  | `M1`       | Rates timeframe; recorded in a `timeframe` column on the `rates` table.                       |
+| `--flags`      | `ALL`      | Tick copy flags forwarded to `copy_ticks_range`.                                              |
+| `--if-exists`  | `fail`     | `append`, `replace`, or `fail` when a target table already exists.                            |
+| `--with-views` | off        | Add `cash_events` and `positions_reconstructed` views (requires the `history-deals` dataset). |
+
+History orders and deals are fetched per symbol and concatenated, so the symbol filter is applied consistently across all datasets. The `cash_events` view is derived from symbol-filtered `history_deals`, so account-level cash events with empty or non-matching symbols may be excluded. The `positions_reconstructed` view excludes positions with no closing deal, uses volume-weighted open/close prices, and reports reversal deals (`DEAL_ENTRY_INOUT`) via `volume_reversal` / `reversal_count`.
+
+See the [History schema diagram](api/history.md#entity-relationship-diagram) for a sample ER layout of the resulting database.
 
 ## Global Options
 
@@ -101,7 +207,9 @@ mt5cli --login 12345 --password mypass --server MyBroker-Demo \
 
 Browse the API documentation for detailed module information:
 
-- [CLI Module](api/cli.md) - CLI application with export commands and utility functions
+- [CLI Module](api/cli.md) - CLI application with export commands
+- [SDK Module](api/sdk.md) - Programmatic read-only data collection API
+- [Utils Module](api/utils.md) - Constants, parameter types, parsers, and export utilities
 
 ## Development
 

mkdocs.yml

@@ -24,6 +24,7 @@ theme:
   features:
     - content.code.annotate
     - content.code.copy
+    - content.code.mermaid
     - navigation.indexes
     - navigation.sections
     - navigation.tabs
@@ -56,6 +57,9 @@ nav:
   - API Reference:
       - Overview: api/index.md
       - CLI: api/cli.md
+      - SDK: api/sdk.md
+      - History Collection (SQLite): api/history.md
+      - Utils: api/utils.md
 
 markdown_extensions:
   - admonition

mt5cli/__init__.py

@@ -1,12 +1,143 @@
-"""mt5cli: Command-line tool for MetaTrader 5."""
+"""mt5cli: Command-line tool and SDK for MetaTrader 5."""
 
 from importlib.metadata import version
 
-from .cli import detect_format, export_dataframe
+from .history import (
+    RateTarget,
+    build_rate_targets,
+    build_rate_view_name,
+    drop_forming_rate_bar,
+    load_rate_data,
+    load_rate_data_from_connection,
+    load_rate_series_by_granularity,
+    load_rate_series_from_sqlite,
+    resolve_history_datasets,
+    resolve_history_tick_flags,
+    resolve_history_timeframes,
+    resolve_rate_tables,
+    resolve_rate_view_name,
+    resolve_rate_view_names,
+)
+from .sdk import (
+    AccountSpec,
+    Mt5CliClient,
+    ThrottledHistoryUpdater,
+    account_info,
+    build_config,
+    collect_history,
+    collect_latest_closed_rates_by_granularity,
+    collect_latest_closed_rates_for_accounts,
+    collect_latest_rates,
+    collect_latest_rates_for_accounts,
+    collect_latest_rates_for_accounts_with_retries,
+    copy_rates_from,
+    copy_rates_from_pos,
+    copy_rates_range,
+    copy_ticks_from,
+    copy_ticks_range,
+    history_deals,
+    history_orders,
+    last_error,
+    latest_rates,
+    market_book,
+    minimum_margins,
+    mt5_session,
+    mt5_summary,
+    mt5_summary_as_df,
+    orders,
+    positions,
+    recent_history_deals,
+    recent_ticks,
+    resolve_account_spec,
+    resolve_account_specs,
+    substitute_env_placeholders,
+    symbol_info,
+    symbol_info_tick,
+    symbols,
+    terminal_info,
+    update_history,
+    update_history_with_config,
+)
+from .sdk import (
+    version as mt5_version,
+)
+from .utils import (
+    TICK_FLAG_MAP,
+    TIMEFRAME_MAP,
+    Dataset,
+    IfExists,
+    detect_format,
+    export_dataframe,
+    export_dataframe_to_sqlite,
+    parse_datetime,
+    parse_tick_flags,
+    parse_timeframe,
+)
 
 __version__ = version(__package__) if __package__ else None
 
 __all__ = [
+    "TICK_FLAG_MAP",
+    "TIMEFRAME_MAP",
+    "AccountSpec",
+    "Dataset",
+    "IfExists",
+    "Mt5CliClient",
+    "RateTarget",
+    "ThrottledHistoryUpdater",
+    "account_info",
+    "build_config",
+    "build_rate_targets",
+    "build_rate_view_name",
+    "collect_history",
+    "collect_latest_closed_rates_by_granularity",
+    "collect_latest_closed_rates_for_accounts",
+    "collect_latest_rates",
+    "collect_latest_rates_for_accounts",
+    "collect_latest_rates_for_accounts_with_retries",
+    "copy_rates_from",
+    "copy_rates_from_pos",
+    "copy_rates_range",
+    "copy_ticks_from",
+    "copy_ticks_range",
     "detect_format",
+    "drop_forming_rate_bar",
     "export_dataframe",
+    "export_dataframe_to_sqlite",
+    "history_deals",
+    "history_orders",
+    "last_error",
+    "latest_rates",
+    "load_rate_data",
+    "load_rate_data_from_connection",
+    "load_rate_series_by_granularity",
+    "load_rate_series_from_sqlite",
+    "market_book",
+    "minimum_margins",
+    "mt5_session",
+    "mt5_summary",
+    "mt5_summary_as_df",
+    "mt5_version",
+    "orders",
+    "parse_datetime",
+    "parse_tick_flags",
+    "parse_timeframe",
+    "positions",
+    "recent_history_deals",
+    "recent_ticks",
+    "resolve_account_spec",
+    "resolve_account_specs",
+    "resolve_history_datasets",
+    "resolve_history_tick_flags",
+    "resolve_history_timeframes",
+    "resolve_rate_tables",
+    "resolve_rate_view_name",
+    "resolve_rate_view_names",
+    "substitute_env_placeholders",
+    "symbol_info",
+    "symbol_info_tick",
+    "symbols",
+    "terminal_info",
+    "update_history",
+    "update_history_with_config",
 ]

mt5cli/cli.py

@@ -3,16 +3,27 @@
 from __future__ import annotations
 
 import logging
-import sqlite3
 from dataclasses import dataclass
-from datetime import UTC, datetime
-from enum import StrEnum
+from datetime import datetime  # noqa: TC003
 from pathlib import Path  # noqa: TC003
-from typing import TYPE_CHECKING, Annotated, cast
+from typing import TYPE_CHECKING, Annotated, Any, cast
 
-import click
 import typer
-from pdmt5 import Mt5Config, Mt5DataClient
+from pdmt5 import Mt5Config
+
+from . import sdk
+from .utils import (
+    DATETIME_TYPE,
+    REQUEST_TYPE,
+    TICK_FLAGS_TYPE,
+    TIMEFRAME_TYPE,
+    Dataset,
+    IfExists,
+    LogLevel,
+    OutputFormat,
+    detect_format,
+    export_dataframe,
+)
 
 if TYPE_CHECKING:
     from collections.abc import Callable
@@ -21,169 +32,6 @@ if TYPE_CHECKING:
 
 logger = logging.getLogger(__name__)
 
-# ---------------------------------------------------------------------------
-# Constants
-# ---------------------------------------------------------------------------
-
-TIMEFRAME_MAP: dict[str, int] = {
-    "M1": 1,
-    "M2": 2,
-    "M3": 3,
-    "M4": 4,
-    "M5": 5,
-    "M6": 6,
-    "M10": 10,
-    "M12": 12,
-    "M15": 15,
-    "M20": 20,
-    "M30": 30,
-    "H1": 16385,
-    "H2": 16386,
-    "H3": 16387,
-    "H4": 16388,
-    "H6": 16390,
-    "H8": 16392,
-    "H12": 16396,
-    "D1": 16408,
-    "W1": 32769,
-    "MN1": 49153,
-}
-
-TICK_FLAG_MAP: dict[str, int] = {
-    "ALL": 1,
-    "INFO": 2,
-    "TRADE": 4,
-}
-
-_FORMAT_EXTENSIONS: dict[str, str] = {
-    ".csv": "csv",
-    ".json": "json",
-    ".parquet": "parquet",
-    ".pq": "parquet",
-    ".db": "sqlite3",
-    ".sqlite": "sqlite3",
-    ".sqlite3": "sqlite3",
-}
-
-# ---------------------------------------------------------------------------
-# Enums
-# ---------------------------------------------------------------------------
-
-
-class OutputFormat(StrEnum):
-    """Supported output file formats."""
-
-    csv = "csv"
-    json = "json"
-    parquet = "parquet"
-    sqlite3 = "sqlite3"
-
-
-class LogLevel(StrEnum):
-    """Logging verbosity levels."""
-
-    DEBUG = "DEBUG"
-    INFO = "INFO"
-    WARNING = "WARNING"
-    ERROR = "ERROR"
-
-
-# ---------------------------------------------------------------------------
-# Click parameter types
-# ---------------------------------------------------------------------------
-
-
-class _DateTimeType(click.ParamType):
-    """Click parameter type for ISO 8601 datetime strings."""
-
-    name = "DATETIME"
-
-    def convert(
-        self,
-        value: object,
-        param: click.Parameter | None,
-        ctx: click.Context | None,
-    ) -> datetime:
-        """Convert a string value to a timezone-aware datetime.
-
-        Args:
-            value: Raw value from the command line.
-            param: Click parameter instance.
-            ctx: Click context.
-
-        Returns:
-            Parsed datetime.
-        """
-        if isinstance(value, datetime):
-            return value
-        try:
-            return parse_datetime(str(value))
-        except ValueError as exc:
-            self.fail(str(exc), param, ctx)
-
-
-class _TimeframeType(click.ParamType):
-    """Click parameter type for MT5 timeframe values."""
-
-    name = "TIMEFRAME"
-
-    def convert(
-        self,
-        value: object,
-        param: click.Parameter | None,
-        ctx: click.Context | None,
-    ) -> int:
-        """Convert a string or integer value to a timeframe integer.
-
-        Args:
-            value: Raw value from the command line.
-            param: Click parameter instance.
-            ctx: Click context.
-
-        Returns:
-            Integer timeframe value.
-        """
-        if isinstance(value, int):
-            return value
-        try:
-            return parse_timeframe(str(value))
-        except ValueError as exc:
-            self.fail(str(exc), param, ctx)
-
-
-class _TickFlagsType(click.ParamType):
-    """Click parameter type for MT5 tick copy flags."""
-
-    name = "FLAGS"
-
-    def convert(
-        self,
-        value: object,
-        param: click.Parameter | None,
-        ctx: click.Context | None,
-    ) -> int:
-        """Convert a string or integer value to a tick flags integer.
-
-        Args:
-            value: Raw value from the command line.
-            param: Click parameter instance.
-            ctx: Click context.
-
-        Returns:
-            Integer tick flag value.
-        """
-        if isinstance(value, int):
-            return value
-        try:
-            return parse_tick_flags(str(value))
-        except ValueError as exc:
-            self.fail(str(exc), param, ctx)
-
-
-DATETIME_TYPE = _DateTimeType()
-TIMEFRAME_TYPE = _TimeframeType()
-TICK_FLAGS_TYPE = _TickFlagsType()
-
 # ---------------------------------------------------------------------------
 # Export context
 # ---------------------------------------------------------------------------
@@ -199,149 +47,6 @@ class _ExportContext:
     config: Mt5Config
 
 
-# ---------------------------------------------------------------------------
-# Public utility functions
-# ---------------------------------------------------------------------------
-
-
-def detect_format(
-    output_path: Path,
-    explicit_format: str | None = None,
-) -> str:
-    """Detect the output format from a file extension or explicit format string.
-
-    Args:
-        output_path: Path to the output file.
-        explicit_format: Explicitly specified format, if any.
-
-    Returns:
-        The detected format string.
-
-    Raises:
-        ValueError: If the format cannot be determined.
-    """
-    if explicit_format is not None:
-        return explicit_format
-    suffix = output_path.suffix.lower()
-    if suffix in _FORMAT_EXTENSIONS:
-        return _FORMAT_EXTENSIONS[suffix]
-    msg = (
-        f"Cannot detect format from extension '{suffix}'."
-        " Use --format to specify the output format."
-    )
-    raise ValueError(msg)
-
-
-def export_dataframe(
-    df: pd.DataFrame,
-    output_path: Path,
-    output_format: str,
-    table_name: str = "data",
-) -> None:
-    """Export a pandas DataFrame to the specified file format.
-
-    Args:
-        df: DataFrame to export.
-        output_path: Path to the output file.
-        output_format: Output format (csv, json, parquet, or sqlite3).
-        table_name: Table name for SQLite3 output.
-
-    Raises:
-        ValueError: If the output format is not supported.
-    """
-    if output_format == "csv":
-        df.to_csv(output_path, index=False)
-    elif output_format == "json":
-        df.to_json(
-            output_path,
-            orient="records",
-            date_format="iso",
-            indent=2,
-        )
-    elif output_format == "parquet":
-        df.to_parquet(output_path, index=False)
-    elif output_format == "sqlite3":
-        with sqlite3.connect(output_path) as conn:
-            df.to_sql(  # type: ignore[reportUnknownMemberType]
-                table_name,
-                conn,
-                if_exists="replace",
-                index=False,
-            )
-    else:
-        msg = f"Unsupported output format: {output_format}"
-        raise ValueError(msg)
-
-
-def parse_datetime(value: str) -> datetime:
-    """Parse an ISO 8601 datetime string to a timezone-aware datetime.
-
-    Args:
-        value: ISO 8601 datetime string (e.g., '2024-01-01' or
-            '2024-01-01T12:00:00+00:00').
-
-    Returns:
-        Parsed datetime with UTC timezone if no timezone is specified.
-
-    Raises:
-        ValueError: If the string cannot be parsed.
-    """
-    try:
-        dt = datetime.fromisoformat(value)
-    except ValueError:
-        msg = f"Invalid datetime format: '{value}'. Use ISO 8601 format."
-        raise ValueError(msg) from None
-    if dt.tzinfo is None:
-        dt = dt.replace(tzinfo=UTC)
-    return dt
-
-
-def parse_timeframe(value: str) -> int:
-    """Parse a timeframe string or integer value.
-
-    Args:
-        value: Timeframe name (e.g., 'M1', 'H1', 'D1') or integer value.
-
-    Returns:
-        Integer timeframe value.
-
-    Raises:
-        ValueError: If the timeframe is invalid.
-    """
-    upper = value.upper()
-    if upper in TIMEFRAME_MAP:
-        return TIMEFRAME_MAP[upper]
-    try:
-        return int(value)
-    except ValueError:
-        valid = ", ".join(TIMEFRAME_MAP)
-        msg = f"Invalid timeframe: '{value}'. Use one of: {valid}, or an integer."
-        raise ValueError(msg) from None
-
-
-def parse_tick_flags(value: str) -> int:
-    """Parse tick flags string or integer value.
-
-    Args:
-        value: Tick flag name (ALL, INFO, TRADE) or integer value.
-
-    Returns:
-        Integer tick flag value.
-
-    Raises:
-        ValueError: If the flag is invalid.
-    """
-    upper = value.upper()
-    if upper in TICK_FLAG_MAP:
-        return TICK_FLAG_MAP[upper]
-    try:
-        return int(value)
-    except ValueError:
-        valid = ", ".join(TICK_FLAG_MAP)
-        msg = f"Invalid tick flags: '{value}'. Use one of: {valid}, or an integer."
-        raise ValueError(msg) from None
-
-
 # ---------------------------------------------------------------------------
 # Typer application
 # ---------------------------------------------------------------------------
@@ -351,6 +56,10 @@ app = typer.Typer(
     help="Export MetaTrader5 data to CSV, JSON, Parquet, or SQLite3.",
 )
 
+_REQUEST_OPTION_HELP = (
+    "Order request as a JSON object string, or '@path' to load JSON from a file."
+)
+
 
 def _get_export_context(ctx: typer.Context) -> _ExportContext:
     return cast("_ExportContext", ctx.obj)
@@ -358,34 +67,33 @@ def _get_export_context(ctx: typer.Context) -> _ExportContext:
 
 def _execute_export(
     ctx: typer.Context,
-    fetch_fn: Callable[[Mt5DataClient], pd.DataFrame],
+    fetch_fn: Callable[[], pd.DataFrame],
 ) -> None:
-    """Execute the common connect-fetch-export-shutdown workflow.
+    """Execute the common fetch-export workflow.
 
     Args:
         ctx: Typer context carrying shared options.
-        fetch_fn: Callable that receives a connected client and returns a
-            DataFrame.
+        fetch_fn: Callable that returns a DataFrame via the SDK layer.
     """
     export_ctx = _get_export_context(ctx)
-    client = Mt5DataClient(config=export_ctx.config)
-    client.initialize_and_login_mt5()
-    try:
-        df = fetch_fn(client)
-        export_dataframe(
-            df=df,
-            output_path=export_ctx.output,
-            output_format=export_ctx.output_format,
-            table_name=export_ctx.table,
-        )
-        logger.info(
-            "Exported %d rows to %s (%s)",
-            len(df),
-            export_ctx.output,
-            export_ctx.output_format,
-        )
-    finally:
-        client.shutdown()
+    df = fetch_fn()
+    export_dataframe(
+        df=df,
+        output_path=export_ctx.output,
+        output_format=export_ctx.output_format,
+        table_name=export_ctx.table,
+    )
+    logger.info(
+        "Exported %d rows to %s (%s)",
+        len(df),
+        export_ctx.output,
+        export_ctx.output_format,
+    )
+
+
+def _sdk_client(ctx: typer.Context) -> sdk.Mt5CliClient:
+    export_ctx = _get_export_context(ctx)
+    return sdk.Mt5CliClient(config=export_ctx.config)
 
 
 @app.callback()
@@ -485,14 +193,10 @@ def rates_from(
     count: Annotated[int, typer.Option(help="Number of records.")],
 ) -> None:
     """Export rates from a start date."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.copy_rates_from_as_df(
-            symbol=symbol,
-            timeframe=timeframe,
-            date_from=date_from,
-            count=count,
-        ),
+        lambda: client.copy_rates_from(symbol, timeframe, date_from, count),
     )
 
 
@@ -511,14 +215,35 @@ def rates_from_pos(
     count: Annotated[int, typer.Option(help="Number of records.")],
 ) -> None:
     """Export rates from a start position."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.copy_rates_from_pos_as_df(
-            symbol=symbol,
-            timeframe=timeframe,
-            start_pos=start_pos,
-            count=count,
+        lambda: client.copy_rates_from_pos(symbol, timeframe, start_pos, count),
+    )
+
+
+@app.command()
+def latest_rates(
+    ctx: typer.Context,
+    symbol: Annotated[str, typer.Option(help="Symbol name.")],
+    timeframe: Annotated[
+        int,
+        typer.Option(
+            click_type=TIMEFRAME_TYPE,
+            help="Timeframe.",
         ),
+    ],
+    count: Annotated[int, typer.Option(help="Number of records.")],
+    start_pos: Annotated[
+        int,
+        typer.Option(help="Start position (0 = current bar)."),
+    ] = 0,
+) -> None:
+    """Export latest rates from a start position."""
+    client = _sdk_client(ctx)
+    _execute_export(
+        ctx,
+        lambda: client.latest_rates(symbol, timeframe, count, start_pos=start_pos),
     )
 
 
@@ -543,14 +268,10 @@ def rates_range(
     ],
 ) -> None:
     """Export rates for a date range."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.copy_rates_range_as_df(
-            symbol=symbol,
-            timeframe=timeframe,
-            date_from=date_from,
-            date_to=date_to,
-        ),
+        lambda: client.copy_rates_range(symbol, timeframe, date_from, date_to),
     )
 
 
@@ -572,14 +293,10 @@ def ticks_from(
     ],
 ) -> None:
     """Export ticks from a start date."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.copy_ticks_from_as_df(
-            symbol=symbol,
-            date_from=date_from,
-            count=count,
-            flags=flags,
-        ),
+        lambda: client.copy_ticks_from(symbol, date_from, count, flags),
     )
 
 
@@ -601,12 +318,46 @@ def ticks_range(
     ],
 ) -> None:
     """Export ticks for a date range."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.copy_ticks_range_as_df(
-            symbol=symbol,
-            date_from=date_from,
+        lambda: client.copy_ticks_range(symbol, date_from, date_to, flags),
+    )
+
+
+@app.command()
+def ticks_recent(
+    ctx: typer.Context,
+    symbol: Annotated[str, typer.Option(help="Symbol name.")],
+    seconds: Annotated[
+        float,
+        typer.Option(help="Lookback window in seconds."),
+    ],
+    date_to: Annotated[
+        datetime | None,
+        typer.Option(click_type=DATETIME_TYPE, help="Window end date."),
+    ] = None,
+    count: Annotated[
+        int,
+        typer.Option(help="Maximum number of ticks to return."),
+    ] = 10000,
+    flags: Annotated[
+        int,
+        typer.Option(
+            click_type=TICK_FLAGS_TYPE,
+            help="Tick flags (ALL, INFO, TRADE, or integer).",
+        ),
+    ] = 1,
+) -> None:
+    """Export ticks from a recent time window."""
+    client = _sdk_client(ctx)
+    _execute_export(
+        ctx,
+        lambda: client.recent_ticks(
+            symbol,
+            seconds,
             date_to=date_to,
+            count=count,
             flags=flags,
         ),
     )
@@ -615,13 +366,13 @@ def ticks_range(
 @app.command()
 def account_info(ctx: typer.Context) -> None:
     """Export account information."""
-    _execute_export(ctx, lambda c: c.account_info_as_df())
+    _execute_export(ctx, _sdk_client(ctx).account_info)
 
 
 @app.command()
 def terminal_info(ctx: typer.Context) -> None:
     """Export terminal information."""
-    _execute_export(ctx, lambda c: c.terminal_info_as_df())
+    _execute_export(ctx, _sdk_client(ctx).terminal_info)
 
 
 @app.command()
@@ -633,10 +384,8 @@ def symbols(
     ] = None,
 ) -> None:
     """Export symbol list."""
-    _execute_export(
-        ctx,
-        lambda c: c.symbols_get_as_df(group=group),
-    )
+    client = _sdk_client(ctx)
+    _execute_export(ctx, lambda: client.symbols(group=group))
 
 
 @app.command()
@@ -645,10 +394,18 @@ def symbol_info(
     symbol: Annotated[str, typer.Option(help="Symbol name.")],
 ) -> None:
     """Export symbol details."""
-    _execute_export(
-        ctx,
-        lambda c: c.symbol_info_as_df(symbol=symbol),
-    )
+    client = _sdk_client(ctx)
+    _execute_export(ctx, lambda: client.symbol_info(symbol))
+
+
+@app.command()
+def minimum_margins(
+    ctx: typer.Context,
+    symbol: Annotated[str, typer.Option(help="Symbol name.")],
+) -> None:
+    """Export minimum-volume buy and sell margin requirements."""
+    client = _sdk_client(ctx)
+    _execute_export(ctx, lambda: client.minimum_margins(symbol))
 
 
 @app.command()
@@ -659,13 +416,10 @@ def orders(
     ticket: Annotated[int | None, typer.Option(help="Ticket filter.")] = None,
 ) -> None:
     """Export active orders."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.orders_get_as_df(
-            symbol=symbol,
-            group=group,
-            ticket=ticket,
-        ),
+        lambda: client.orders(symbol=symbol, group=group, ticket=ticket),
     )
 
 
@@ -677,13 +431,10 @@ def positions(
     ticket: Annotated[int | None, typer.Option(help="Ticket filter.")] = None,
 ) -> None:
     """Export open positions."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.positions_get_as_df(
-            symbol=symbol,
-            group=group,
-            ticket=ticket,
-        ),
+        lambda: client.positions(symbol=symbol, group=group, ticket=ticket),
     )
 
 
@@ -704,9 +455,10 @@ def history_orders(
     position: Annotated[int | None, typer.Option(help="Position ticket.")] = None,
 ) -> None:
     """Export historical orders."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.history_orders_get_as_df(
+        lambda: client.history_orders(
             date_from=date_from,
             date_to=date_to,
             group=group,
@@ -734,9 +486,10 @@ def history_deals(
     position: Annotated[int | None, typer.Option(help="Position ticket.")] = None,
 ) -> None:
     """Export historical deals."""
+    client = _sdk_client(ctx)
     _execute_export(
         ctx,
-        lambda c: c.history_deals_get_as_df(
+        lambda: client.history_deals(
             date_from=date_from,
             date_to=date_to,
             group=group,
@@ -747,6 +500,217 @@ def history_deals(
     )
 
 
+@app.command()
+def recent_history_deals(
+    ctx: typer.Context,
+    hours: Annotated[float, typer.Option(help="Lookback window in hours.")],
+    date_to: Annotated[
+        datetime | None,
+        typer.Option(click_type=DATETIME_TYPE, help="Window end date."),
+    ] = None,
+    group: Annotated[str | None, typer.Option(help="Group filter.")] = None,
+    symbol: Annotated[str | None, typer.Option(help="Symbol filter.")] = None,
+) -> None:
+    """Export historical deals from a recent trailing window."""
+    client = _sdk_client(ctx)
+    _execute_export(
+        ctx,
+        lambda: client.recent_history_deals(
+            hours,
+            date_to=date_to,
+            group=group,
+            symbol=symbol,
+        ),
+    )
+
+
+@app.command()
+def mt5_summary(ctx: typer.Context) -> None:
+    """Export a compact terminal/account status summary."""
+    client = _sdk_client(ctx)
+    _execute_export(ctx, client.mt5_summary_as_df)
+
+
+@app.command()
+def version(ctx: typer.Context) -> None:
+    """Export MetaTrader5 version information."""
+    _execute_export(ctx, _sdk_client(ctx).version)
+
+
+@app.command()
+def last_error(ctx: typer.Context) -> None:
+    """Export the last error information."""
+    _execute_export(ctx, _sdk_client(ctx).last_error)
+
+
+@app.command()
+def symbol_info_tick(
+    ctx: typer.Context,
+    symbol: Annotated[str, typer.Option(help="Symbol name.")],
+) -> None:
+    """Export the last tick for a symbol."""
+    client = _sdk_client(ctx)
+    _execute_export(ctx, lambda: client.symbol_info_tick(symbol))
+
+
+@app.command()
+def market_book(
+    ctx: typer.Context,
+    symbol: Annotated[str, typer.Option(help="Symbol name.")],
+) -> None:
+    """Export market depth (order book) for a symbol."""
+    client = _sdk_client(ctx)
+    _execute_export(ctx, lambda: client.market_book(symbol))
+
+
+@app.command()
+def order_check(
+    ctx: typer.Context,
+    request: Annotated[
+        dict[str, Any],
+        typer.Option(click_type=REQUEST_TYPE, help=_REQUEST_OPTION_HELP),
+    ],
+) -> None:
+    """Check funds sufficiency for a trading operation."""
+    export_ctx = _get_export_context(ctx)
+
+    def _fetch() -> pd.DataFrame:
+        return sdk._run_with_client(  # noqa: SLF001  # pyright: ignore[reportPrivateUsage]
+            export_ctx.config,
+            lambda c: c.order_check_as_df(request=request),
+        )
+
+    _execute_export(ctx, _fetch)
+
+
+@app.command()
+def order_send(
+    ctx: typer.Context,
+    request: Annotated[
+        dict[str, Any],
+        typer.Option(click_type=REQUEST_TYPE, help=_REQUEST_OPTION_HELP),
+    ],
+    yes: Annotated[
+        bool,
+        typer.Option("--yes", help="Confirm the live trade request."),
+    ] = False,
+) -> None:
+    """Send a trading operation request to the trade server.
+
+    Raises:
+        typer.BadParameter: If --yes is not provided.
+    """
+    if not yes:
+        msg = "Pass --yes to send a live trade request."
+        raise typer.BadParameter(msg, param_hint="--yes")
+    export_ctx = _get_export_context(ctx)
+
+    def _fetch() -> pd.DataFrame:
+        return sdk._run_with_client(  # noqa: SLF001  # pyright: ignore[reportPrivateUsage]
+            export_ctx.config,
+            lambda c: c.order_send_as_df(request=request),
+        )
+
+    _execute_export(ctx, _fetch)
+
+
+@app.command()
+def collect_history(
+    ctx: typer.Context,
+    symbol: Annotated[
+        list[str],
+        typer.Option(
+            "--symbol",
+            "-s",
+            help="Symbol to collect (repeat for multiple symbols).",
+        ),
+    ],
+    date_from: Annotated[
+        datetime,
+        typer.Option(click_type=DATETIME_TYPE, help="Start date."),
+    ],
+    date_to: Annotated[
+        datetime,
+        typer.Option(click_type=DATETIME_TYPE, help="End date."),
+    ],
+    dataset: Annotated[
+        list[Dataset] | None,
+        typer.Option(
+            "--dataset",
+            help=(
+                "Dataset to include (repeat for multiple)."
+                " Defaults to all: rates, ticks, history-orders, history-deals."
+            ),
+        ),
+    ] = None,
+    timeframe: Annotated[
+        int,
+        typer.Option(
+            click_type=TIMEFRAME_TYPE,
+            help="Rates timeframe (e.g., M1, H1, D1).",
+        ),
+    ] = 1,
+    flags: Annotated[
+        int,
+        typer.Option(
+            click_type=TICK_FLAGS_TYPE,
+            help="Tick copy flags (ALL, INFO, TRADE, or integer).",
+        ),
+    ] = 1,
+    if_exists: Annotated[
+        IfExists,
+        typer.Option(
+            "--if-exists",
+            help="Behavior when a target table already exists.",
+        ),
+    ] = IfExists.FAIL,
+    with_views: Annotated[
+        bool,
+        typer.Option(
+            "--with-views",
+            help=(
+                "Add cash_events and positions_reconstructed SQLite views"
+                " derived from history_deals."
+            ),
+        ),
+    ] = False,
+) -> None:
+    """Collect historical datasets into a single SQLite database.
+
+    Tables written depend on ``--dataset``: ``rates``, ``ticks``,
+    ``history_orders``, ``history_deals``. History datasets are fetched per
+    symbol and concatenated. Rates rows carry the requested ``timeframe`` so
+    appended runs at different timeframes remain distinguishable.
+
+    With ``--with-views`` (requires the ``history-deals`` dataset), optional
+    views ``cash_events`` and ``positions_reconstructed`` are derived from
+    ``history_deals`` when the required columns are present.
+
+    Raises:
+        typer.BadParameter: If the output format is not SQLite3.
+    """
+    export_ctx = _get_export_context(ctx)
+    if export_ctx.output_format != "sqlite3":
+        msg = (
+            "collect-history requires SQLite3 output."
+            " Use a .db/.sqlite/.sqlite3 extension or --format sqlite3."
+        )
+        raise typer.BadParameter(msg)
+    datasets = set(dataset) if dataset else set(Dataset)
+    sdk.collect_history(
+        output=export_ctx.output,
+        symbols=symbol,
+        date_from=date_from,
+        date_to=date_to,
+        datasets=datasets,
+        timeframe=timeframe,
+        flags=flags,
+        if_exists=if_exists,
+        with_views=with_views,
+        config=export_ctx.config,
+    )
+
+
 def main() -> None:
     """Run the mt5cli CLI."""
     app()

mt5cli/utils.py

@@ -0,0 +1,453 @@
+"""Utility constants, types, and functions for the mt5cli package."""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from datetime import UTC, datetime
+from enum import StrEnum
+from pathlib import Path
+from typing import TYPE_CHECKING, Any, TypeGuard
+
+import click
+
+if TYPE_CHECKING:
+    from collections.abc import Sequence
+
+    import pandas as pd
+
+# ---------------------------------------------------------------------------
+# Constants
+# ---------------------------------------------------------------------------
+
+TIMEFRAME_MAP: dict[str, int] = {
+    "M1": 1,
+    "M2": 2,
+    "M3": 3,
+    "M4": 4,
+    "M5": 5,
+    "M6": 6,
+    "M10": 10,
+    "M12": 12,
+    "M15": 15,
+    "M20": 20,
+    "M30": 30,
+    "H1": 16385,
+    "H2": 16386,
+    "H3": 16387,
+    "H4": 16388,
+    "H6": 16390,
+    "H8": 16392,
+    "H12": 16396,
+    "D1": 16408,
+    "W1": 32769,
+    "MN1": 49153,
+}
+
+TICK_FLAG_MAP: dict[str, int] = {
+    "ALL": 1,
+    "INFO": 2,
+    "TRADE": 4,
+}
+
+_FORMAT_EXTENSIONS: dict[str, str] = {
+    ".csv": "csv",
+    ".json": "json",
+    ".parquet": "parquet",
+    ".pq": "parquet",
+    ".db": "sqlite3",
+    ".sqlite": "sqlite3",
+    ".sqlite3": "sqlite3",
+}
+
+# ---------------------------------------------------------------------------
+# Enums
+# ---------------------------------------------------------------------------
+
+
+class OutputFormat(StrEnum):
+    """Supported output file formats."""
+
+    csv = "csv"
+    json = "json"
+    parquet = "parquet"
+    sqlite3 = "sqlite3"
+
+
+class LogLevel(StrEnum):
+    """Logging verbosity levels."""
+
+    DEBUG = "DEBUG"
+    INFO = "INFO"
+    WARNING = "WARNING"
+    ERROR = "ERROR"
+
+
+class Dataset(StrEnum):
+    """Datasets supported by the ``collect-history`` command."""
+
+    rates = "rates"
+    ticks = "ticks"
+    history_orders = "history-orders"
+    history_deals = "history-deals"
+
+    @property
+    def table_name(self) -> str:
+        """Return the SQLite table name for this dataset."""
+        return self.value.replace("-", "_")
+
+
+class IfExists(StrEnum):
+    """SQLite table conflict behavior for the ``collect-history`` command."""
+
+    APPEND = "append"
+    REPLACE = "replace"
+    FAIL = "fail"
+
+
+# ---------------------------------------------------------------------------
+# Click parameter types
+# ---------------------------------------------------------------------------
+
+
+class _DateTimeType(click.ParamType):
+    """Click parameter type for ISO 8601 datetime strings."""
+
+    name = "DATETIME"
+
+    def convert(
+        self,
+        value: object,
+        param: click.Parameter | None,
+        ctx: click.Context | None,
+    ) -> datetime:
+        """Convert a string value to a timezone-aware datetime.
+
+        Args:
+            value: Raw value from the command line.
+            param: Click parameter instance.
+            ctx: Click context.
+
+        Returns:
+            Parsed datetime.
+        """
+        if isinstance(value, datetime):
+            return value
+        try:
+            return parse_datetime(str(value))
+        except ValueError as exc:
+            self.fail(str(exc), param, ctx)
+
+
+class _TimeframeType(click.ParamType):
+    """Click parameter type for MT5 timeframe values."""
+
+    name = "TIMEFRAME"
+
+    def convert(
+        self,
+        value: object,
+        param: click.Parameter | None,
+        ctx: click.Context | None,
+    ) -> int:
+        """Convert a string or integer value to a timeframe integer.
+
+        Args:
+            value: Raw value from the command line.
+            param: Click parameter instance.
+            ctx: Click context.
+
+        Returns:
+            Integer timeframe value.
+        """
+        if isinstance(value, int):
+            return value
+        try:
+            return parse_timeframe(str(value))
+        except ValueError as exc:
+            self.fail(str(exc), param, ctx)
+
+
+class _TickFlagsType(click.ParamType):
+    """Click parameter type for MT5 tick copy flags."""
+
+    name = "FLAGS"
+
+    def convert(
+        self,
+        value: object,
+        param: click.Parameter | None,
+        ctx: click.Context | None,
+    ) -> int:
+        """Convert a string or integer value to a tick flags integer.
+
+        Args:
+            value: Raw value from the command line.
+            param: Click parameter instance.
+            ctx: Click context.
+
+        Returns:
+            Integer tick flag value.
+        """
+        if isinstance(value, int):
+            return value
+        try:
+            return parse_tick_flags(str(value))
+        except ValueError as exc:
+            self.fail(str(exc), param, ctx)
+
+
+class _RequestType(click.ParamType):
+    """Click parameter type for JSON order requests."""
+
+    name = "REQUEST"
+
+    def convert(
+        self,
+        value: object,
+        param: click.Parameter | None,
+        ctx: click.Context | None,
+    ) -> dict[str, Any]:
+        """Convert a raw CLI value to an order request dictionary.
+
+        Args:
+            value: Raw value from the command line.
+            param: Click parameter instance.
+            ctx: Click context.
+
+        Returns:
+            Parsed request dictionary.
+        """
+        try:
+            return parse_request(str(value))
+        except ValueError as exc:
+            self.fail(str(exc), param, ctx)
+
+
+DATETIME_TYPE = _DateTimeType()
+TIMEFRAME_TYPE = _TimeframeType()
+TICK_FLAGS_TYPE = _TickFlagsType()
+REQUEST_TYPE = _RequestType()
+
+# ---------------------------------------------------------------------------
+# Public utility functions
+# ---------------------------------------------------------------------------
+
+
+def detect_format(
+    output_path: Path,
+    explicit_format: str | None = None,
+) -> str:
+    """Detect the output format from a file extension or explicit format string.
+
+    Args:
+        output_path: Path to the output file.
+        explicit_format: Explicitly specified format, if any.
+
+    Returns:
+        The detected format string.
+
+    Raises:
+        ValueError: If the format cannot be determined.
+    """
+    if explicit_format is not None:
+        return explicit_format
+    suffix = output_path.suffix.lower()
+    if suffix in _FORMAT_EXTENSIONS:
+        return _FORMAT_EXTENSIONS[suffix]
+    msg = (
+        f"Cannot detect format from extension '{suffix}'."
+        " Use --format to specify the output format."
+    )
+    raise ValueError(msg)
+
+
+def export_dataframe_to_sqlite(
+    df: pd.DataFrame,
+    output_path: Path,
+    table_name: str = "data",
+    *,
+    if_exists: IfExists = IfExists.APPEND,
+    index: bool = False,
+    index_label: str | None = None,
+    deduplicate_on: Sequence[str] | None = None,
+) -> None:
+    """Write a DataFrame to SQLite with configurable append and deduplication.
+
+    Args:
+        df: DataFrame to export.
+        output_path: SQLite database path.
+        table_name: Target table name.
+        if_exists: Conflict behavior when the table already exists.
+        index: Whether to write the DataFrame index as a column.
+        index_label: Column name for the index when ``index=True``.
+        deduplicate_on: Optional key columns to deduplicate after writing,
+            keeping the latest ``ROWID`` per key group. Deduplication scans the
+            full table, so repeated appends cost O(table size); index the key
+            columns when appending frequently.
+    """
+    with sqlite3.connect(output_path) as conn:
+        df.to_sql(  # type: ignore[reportUnknownMemberType]
+            table_name,
+            conn,
+            if_exists=if_exists.value,
+            index=index,
+            index_label=index_label,
+        )
+        if deduplicate_on:
+            from .history import drop_duplicates_in_table  # noqa: PLC0415
+
+            drop_duplicates_in_table(
+                conn.cursor(),
+                table_name,
+                list(deduplicate_on),
+                keep="last",
+            )
+            conn.commit()
+
+
+def export_dataframe(
+    df: pd.DataFrame,
+    output_path: Path,
+    output_format: str,
+    table_name: str = "data",
+) -> None:
+    """Export a pandas DataFrame to the specified file format.
+
+    Args:
+        df: DataFrame to export.
+        output_path: Path to the output file.
+        output_format: Output format (csv, json, parquet, or sqlite3).
+        table_name: Table name for SQLite3 output.
+
+    Raises:
+        ValueError: If the output format is not supported.
+    """
+    if output_format == "csv":
+        df.to_csv(output_path, index=False)
+    elif output_format == "json":
+        df.to_json(
+            output_path,
+            orient="records",
+            date_format="iso",
+            indent=2,
+        )
+    elif output_format == "parquet":
+        df.to_parquet(output_path, index=False)
+    elif output_format == "sqlite3":
+        export_dataframe_to_sqlite(
+            df,
+            output_path,
+            table_name,
+            if_exists=IfExists.REPLACE,
+            index=False,
+        )
+    else:
+        msg = f"Unsupported output format: {output_format}"
+        raise ValueError(msg)
+
+
+def parse_datetime(value: str) -> datetime:
+    """Parse an ISO 8601 datetime string to a timezone-aware datetime.
+
+    Args:
+        value: ISO 8601 datetime string (e.g., '2024-01-01' or
+            '2024-01-01T12:00:00+00:00').
+
+    Returns:
+        Parsed datetime with UTC timezone if no timezone is specified.
+
+    Raises:
+        ValueError: If the string cannot be parsed.
+    """
+    try:
+        dt = datetime.fromisoformat(value)
+    except ValueError:
+        msg = f"Invalid datetime format: '{value}'. Use ISO 8601 format."
+        raise ValueError(msg) from None
+    if dt.tzinfo is None:
+        dt = dt.replace(tzinfo=UTC)
+    return dt
+
+
+def parse_timeframe(value: str) -> int:
+    """Parse a timeframe string or integer value.
+
+    Args:
+        value: Timeframe name (e.g., 'M1', 'H1', 'D1') or integer value.
+
+    Returns:
+        Integer timeframe value.
+
+    Raises:
+        ValueError: If the timeframe is invalid.
+    """
+    upper = value.upper()
+    if upper in TIMEFRAME_MAP:
+        return TIMEFRAME_MAP[upper]
+    try:
+        return int(value)
+    except ValueError:
+        valid = ", ".join(TIMEFRAME_MAP)
+        msg = f"Invalid timeframe: '{value}'. Use one of: {valid}, or an integer."
+        raise ValueError(msg) from None
+
+
+def parse_tick_flags(value: str) -> int:
+    """Parse tick flags string or integer value.
+
+    Args:
+        value: Tick flag name (ALL, INFO, TRADE) or integer value.
+
+    Returns:
+        Integer tick flag value.
+
+    Raises:
+        ValueError: If the flag is invalid.
+    """
+    upper = value.upper()
+    if upper in TICK_FLAG_MAP:
+        return TICK_FLAG_MAP[upper]
+    try:
+        return int(value)
+    except ValueError:
+        valid = ", ".join(TICK_FLAG_MAP)
+        msg = f"Invalid tick flags: '{value}'. Use one of: {valid}, or an integer."
+        raise ValueError(msg) from None
+
+
+def _is_request_dict(value: object) -> TypeGuard[dict[str, Any]]:
+    return isinstance(value, dict)
+
+
+def parse_request(value: str) -> dict[str, Any]:
+    """Parse a JSON-formatted order request string or file reference.
+
+    Args:
+        value: JSON object string, or '@path' to read JSON from a file.
+
+    Returns:
+        Parsed request dictionary.
+
+    Raises:
+        ValueError: If the request file cannot be read or the value is not a
+            JSON object.
+    """
+    if value.startswith("@"):
+        path = Path(value[1:])
+        try:
+            text = path.read_text(encoding="utf-8")
+        except (OSError, UnicodeDecodeError) as exc:
+            msg = f"Failed to read JSON request file '{path}': {exc}"
+            raise ValueError(msg) from exc
+    else:
+        text = value
+    try:
+        parsed: object = json.loads(text)
+    except json.JSONDecodeError as exc:
+        msg = f"Invalid JSON request: {exc}"
+        raise ValueError(msg) from exc
+    if not _is_request_dict(parsed):
+        msg = "Order request must be a JSON object."
+        raise ValueError(msg)
+    return parsed

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "mt5cli"
-version = "0.1.0"
+version = "0.6.0"
 description = "Command-line tool for MetaTrader 5"
 authors = [{name = "dceoy", email = "dceoy@users.noreply.github.com"}]
 maintainers = [{name = "dceoy", email = "dceoy@users.noreply.github.com"}]
@@ -48,10 +48,6 @@ dev = [
   "pymdown-extensions >= 10.21.2",
 ]
 
-[tool.uv.build-backend]
-source-include = ["mt5cli/**", "LICENSE"]
-source-exclude = ["tests/**"]
-
 [tool.ruff]
 line-length = 88
 exclude = ["build", ".venv"]
@@ -128,6 +124,7 @@ ignore = [
 ]
 
 [tool.ruff.lint.per-file-ignores]
+"mt5cli/history.py" = ["TC003"]
 "tests/**/*.py" = [
   "DOC201",   # Missing return documentation
   "DOC501",   # Raised exception missing from docstring

skills/mt5cli/SKILL.md

@@ -50,21 +50,22 @@ Global options MUST precede the subcommand.
 
 ## Commands
 
-| Command          | Required options                                      | Optional options                                                            |
-| ---------------- | ----------------------------------------------------- | --------------------------------------------------------------------------- |
-| `rates-from`     | `--symbol`, `--timeframe`, `--date-from`, `--count`   | —                                                                           |
-| `rates-from-pos` | `--symbol`, `--timeframe`, `--start-pos`, `--count`   | —                                                                           |
-| `rates-range`    | `--symbol`, `--timeframe`, `--date-from`, `--date-to` | —                                                                           |
-| `ticks-from`     | `--symbol`, `--date-from`, `--count`, `--flags`       | —                                                                           |
-| `ticks-range`    | `--symbol`, `--date-from`, `--date-to`, `--flags`     | —                                                                           |
-| `account-info`   | —                                                     | —                                                                           |
-| `terminal-info`  | —                                                     | —                                                                           |
-| `symbols`        | —                                                     | `--group` (e.g., `*USD*`)                                                   |
-| `symbol-info`    | `--symbol`                                            | —                                                                           |
-| `orders`         | —                                                     | `--symbol`, `--group`, `--ticket`                                           |
-| `positions`      | —                                                     | `--symbol`, `--group`, `--ticket`                                           |
-| `history-orders` | —                                                     | `--date-from`, `--date-to`, `--group`, `--symbol`, `--ticket`, `--position` |
-| `history-deals`  | —                                                     | `--date-from`, `--date-to`, `--group`, `--symbol`, `--ticket`, `--position` |
+| Command           | Required options                                      | Optional options                                                                                                                                                                                                                 |
+| ----------------- | ----------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
+| `rates-from`      | `--symbol`, `--timeframe`, `--date-from`, `--count`   | —                                                                                                                                                                                                                                |
+| `rates-from-pos`  | `--symbol`, `--timeframe`, `--start-pos`, `--count`   | —                                                                                                                                                                                                                                |
+| `rates-range`     | `--symbol`, `--timeframe`, `--date-from`, `--date-to` | —                                                                                                                                                                                                                                |
+| `ticks-from`      | `--symbol`, `--date-from`, `--count`, `--flags`       | —                                                                                                                                                                                                                                |
+| `ticks-range`     | `--symbol`, `--date-from`, `--date-to`, `--flags`     | —                                                                                                                                                                                                                                |
+| `account-info`    | —                                                     | —                                                                                                                                                                                                                                |
+| `terminal-info`   | —                                                     | —                                                                                                                                                                                                                                |
+| `symbols`         | —                                                     | `--group` (e.g., `*USD*`)                                                                                                                                                                                                        |
+| `symbol-info`     | `--symbol`                                            | —                                                                                                                                                                                                                                |
+| `orders`          | —                                                     | `--symbol`, `--group`, `--ticket`                                                                                                                                                                                                |
+| `positions`       | —                                                     | `--symbol`, `--group`, `--ticket`                                                                                                                                                                                                |
+| `history-orders`  | —                                                     | `--date-from`, `--date-to`, `--group`, `--symbol`, `--ticket`, `--position`                                                                                                                                                      |
+| `history-deals`   | —                                                     | `--date-from`, `--date-to`, `--group`, `--symbol`, `--ticket`, `--position`                                                                                                                                                      |
+| `collect-history` | `--symbol` (repeatable), `--date-from`, `--date-to`   | `--dataset` (repeatable; rates/ticks/history-orders/history-deals; default all), `--timeframe` (M1; recorded on rates), `--flags` (ALL), `--if-exists` (append/replace/fail; default fail), `--with-views` (SQLite3 output only) |
 
 ## Examples
 
@@ -85,6 +86,14 @@ mt5cli -o data.db --table symbols symbols --group "*USD*"
 
 # Historical deals filtered by symbol (using an already-logged-in MT5 terminal).
 mt5cli -o deals.csv history-deals --symbol EURUSD --date-from 2024-01-01
+
+# Bundle selected historical datasets into one SQLite db, appending to any
+# existing tables, plus cash_events and positions_reconstructed views.
+mt5cli -o history.db collect-history \
+  --symbol EURUSD --symbol GBPUSD \
+  --date-from 2024-01-01 --date-to 2024-02-01 \
+  --dataset rates --dataset history-deals \
+  --timeframe M1 --flags ALL --if-exists append --with-views
 ```
 
 ## Guidelines

tests/test_utils.py

@@ -0,0 +1,443 @@
+"""Tests for mt5cli.utils module."""
+
+from __future__ import annotations
+
+import json
+import sqlite3
+from datetime import UTC, datetime
+from typing import TYPE_CHECKING
+
+import pandas as pd
+import pytest
+
+if TYPE_CHECKING:
+    from pathlib import Path
+
+from mt5cli.utils import (
+    DATETIME_TYPE,
+    REQUEST_TYPE,
+    TICK_FLAG_MAP,
+    TICK_FLAGS_TYPE,
+    TIMEFRAME_MAP,
+    TIMEFRAME_TYPE,
+    Dataset,
+    IfExists,
+    detect_format,
+    export_dataframe,
+    export_dataframe_to_sqlite,
+    parse_datetime,
+    parse_request,
+    parse_tick_flags,
+    parse_timeframe,
+)
+
+# ---------------------------------------------------------------------------
+# detect_format
+# ---------------------------------------------------------------------------
+
+
+class TestDetectFormat:
+    """Tests for detect_format."""
+
+    def test_explicit_format_returned(self, tmp_path: Path) -> None:
+        """Test that explicit format overrides extension."""
+        result = detect_format(tmp_path / "data.txt", explicit_format="csv")
+        assert result == "csv"
+
+    @pytest.mark.parametrize(
+        ("filename", "expected"),
+        [
+            ("data.csv", "csv"),
+            ("data.json", "json"),
+            ("data.parquet", "parquet"),
+            ("data.pq", "parquet"),
+            ("data.db", "sqlite3"),
+            ("data.sqlite", "sqlite3"),
+            ("data.sqlite3", "sqlite3"),
+            ("DATA.CSV", "csv"),
+            ("DATA.JSON", "json"),
+            ("DATA.PARQUET", "parquet"),
+        ],
+    )
+    def test_auto_detect_from_extension(
+        self,
+        tmp_path: Path,
+        filename: str,
+        expected: str,
+    ) -> None:
+        """Test format auto-detection from file extension."""
+        result = detect_format(tmp_path / filename)
+        assert result == expected
+
+    def test_unknown_extension_raises(self, tmp_path: Path) -> None:
+        """Test that unknown extension raises ValueError."""
+        with pytest.raises(ValueError, match="Cannot detect format"):
+            detect_format(tmp_path / "data.xyz")
+
+
+# ---------------------------------------------------------------------------
+# export_dataframe
+# ---------------------------------------------------------------------------
+
+
+class TestExportDataframe:
+    """Tests for export_dataframe."""
+
+    @pytest.fixture
+    def sample_df(self) -> pd.DataFrame:
+        """Create a sample DataFrame for testing."""
+        return pd.DataFrame({"a": [1, 2, 3], "b": ["x", "y", "z"]})
+
+    def test_export_csv(self, tmp_path: Path, sample_df: pd.DataFrame) -> None:
+        """Test CSV export."""
+        output = tmp_path / "out.csv"
+        export_dataframe(sample_df, output, "csv")
+        result = pd.read_csv(output)
+        pd.testing.assert_frame_equal(result, sample_df)
+
+    def test_export_json(self, tmp_path: Path, sample_df: pd.DataFrame) -> None:
+        """Test JSON export."""
+        output = tmp_path / "out.json"
+        export_dataframe(sample_df, output, "json")
+        with output.open() as f:
+            records = json.load(f)
+        assert len(records) == 3
+        assert records[0]["a"] == 1
+
+    def test_export_parquet(self, tmp_path: Path, sample_df: pd.DataFrame) -> None:
+        """Test Parquet export."""
+        output = tmp_path / "out.parquet"
+        export_dataframe(sample_df, output, "parquet")
+        result = pd.read_parquet(output)
+        pd.testing.assert_frame_equal(result, sample_df)
+
+    def test_export_sqlite3(self, tmp_path: Path, sample_df: pd.DataFrame) -> None:
+        """Test SQLite3 export."""
+        output = tmp_path / "out.db"
+        export_dataframe(sample_df, output, "sqlite3", table_name="test_table")
+        with sqlite3.connect(output) as conn:
+            result = pd.read_sql(  # type: ignore[reportUnknownMemberType]
+                "SELECT * FROM test_table",
+                conn,
+            )
+        pd.testing.assert_frame_equal(result, sample_df)
+
+    def test_unsupported_format_raises(
+        self,
+        tmp_path: Path,
+        sample_df: pd.DataFrame,
+    ) -> None:
+        """Test that unsupported format raises ValueError."""
+        with pytest.raises(ValueError, match="Unsupported output format"):
+            export_dataframe(sample_df, tmp_path / "out.txt", "xml")
+
+
+class TestExportDataframeToSqlite:
+    """Tests for export_dataframe_to_sqlite."""
+
+    def test_append_preserves_existing_rows(self, tmp_path: Path) -> None:
+        """Test append mode keeps prior rows in the SQLite table."""
+        output = tmp_path / "append.db"
+        first = pd.DataFrame({"id": [1], "value": ["a"]})
+        second = pd.DataFrame({"id": [2], "value": ["b"]})
+        export_dataframe_to_sqlite(first, output, "items", if_exists=IfExists.REPLACE)
+        export_dataframe_to_sqlite(second, output, "items", if_exists=IfExists.APPEND)
+        with sqlite3.connect(output) as conn:
+            result = pd.read_sql(  # type: ignore[reportUnknownMemberType]
+                "SELECT id, value FROM items ORDER BY id",
+                conn,
+            )
+        pd.testing.assert_frame_equal(
+            result,
+            pd.DataFrame({"id": [1, 2], "value": ["a", "b"]}),
+        )
+
+    def test_deduplicate_keeps_latest_row(self, tmp_path: Path) -> None:
+        """Test deduplication keeps the latest ROWID for key columns."""
+        output = tmp_path / "dedup.db"
+        first = pd.DataFrame({
+            "symbol": ["EURUSD", "EURUSD"],
+            "time": ["2024-01-01", "2024-01-01"],
+            "bid": [1.0, 1.1],
+        })
+        second = pd.DataFrame({
+            "symbol": ["EURUSD"],
+            "time": ["2024-01-01"],
+            "bid": [1.2],
+        })
+        export_dataframe_to_sqlite(
+            first,
+            output,
+            "ticks",
+            if_exists=IfExists.REPLACE,
+            deduplicate_on=("symbol", "time"),
+        )
+        export_dataframe_to_sqlite(
+            second,
+            output,
+            "ticks",
+            if_exists=IfExists.APPEND,
+            deduplicate_on=("symbol", "time"),
+        )
+        with sqlite3.connect(output) as conn:
+            result = pd.read_sql(  # type: ignore[reportUnknownMemberType]
+                "SELECT symbol, time, bid FROM ticks",
+                conn,
+            )
+        pd.testing.assert_frame_equal(
+            result.reset_index(drop=True),
+            pd.DataFrame({
+                "symbol": ["EURUSD"],
+                "time": ["2024-01-01"],
+                "bid": [1.2],
+            }),
+        )
+
+    def test_default_if_exists_appends_without_dropping_rows(
+        self,
+        tmp_path: Path,
+    ) -> None:
+        """Test the default append mode keeps prior rows."""
+        output = tmp_path / "default-append.db"
+        first = pd.DataFrame({"id": [1], "value": ["a"]})
+        second = pd.DataFrame({"id": [2], "value": ["b"]})
+        export_dataframe_to_sqlite(first, output, "items")
+        export_dataframe_to_sqlite(second, output, "items")
+        with sqlite3.connect(output) as conn:
+            result = pd.read_sql(  # type: ignore[reportUnknownMemberType]
+                "SELECT id, value FROM items ORDER BY id",
+                conn,
+            )
+        pd.testing.assert_frame_equal(
+            result,
+            pd.DataFrame({"id": [1, 2], "value": ["a", "b"]}),
+        )
+
+    def test_writes_index_with_label(self, tmp_path: Path) -> None:
+        """Test optional index export with a custom label."""
+        output = tmp_path / "index.db"
+        frame = pd.DataFrame(
+            {"value": [1.0]}, index=pd.Index(["EURUSD"], name="symbol")
+        )
+        export_dataframe_to_sqlite(
+            frame,
+            output,
+            "margins",
+            if_exists=IfExists.REPLACE,
+            index=True,
+            index_label="symbol",
+        )
+        with sqlite3.connect(output) as conn:
+            result = pd.read_sql(  # type: ignore[reportUnknownMemberType]
+                "SELECT symbol, value FROM margins",
+                conn,
+            )
+        pd.testing.assert_frame_equal(
+            result,
+            pd.DataFrame({"symbol": ["EURUSD"], "value": [1.0]}),
+        )
+
+
+# ---------------------------------------------------------------------------
+# Parse helpers
+# ---------------------------------------------------------------------------
+
+
+class TestParseDatetime:
+    """Tests for parse_datetime."""
+
+    def test_valid_date(self) -> None:
+        """Test parsing a date string."""
+        result = parse_datetime("2024-01-15")
+        assert result == datetime(2024, 1, 15, tzinfo=UTC)
+
+    def test_valid_datetime_with_tz(self) -> None:
+        """Test parsing a datetime with timezone."""
+        result = parse_datetime("2024-01-15T12:00:00+00:00")
+        assert result == datetime(2024, 1, 15, 12, 0, 0, tzinfo=UTC)
+
+    def test_invalid_format_raises(self) -> None:
+        """Test that invalid format raises ValueError."""
+        with pytest.raises(ValueError, match="Invalid datetime"):
+            parse_datetime("not-a-date")
+
+
+class TestParseTimeframe:
+    """Tests for parse_timeframe."""
+
+    @pytest.mark.parametrize(
+        ("value", "expected"),
+        [("M1", 1), ("h1", 16385), ("D1", 16408), ("MN1", 49153)],
+    )
+    def test_named_timeframe(self, value: str, expected: int) -> None:
+        """Test parsing named timeframes."""
+        assert parse_timeframe(value) == expected
+
+    def test_integer_timeframe(self) -> None:
+        """Test parsing integer timeframe."""
+        assert parse_timeframe("42") == 42
+
+    def test_invalid_timeframe_raises(self) -> None:
+        """Test that invalid timeframe raises ValueError."""
+        with pytest.raises(ValueError, match="Invalid timeframe"):
+            parse_timeframe("INVALID")
+
+
+class TestParseTickFlags:
+    """Tests for parse_tick_flags."""
+
+    @pytest.mark.parametrize(
+        ("value", "expected"),
+        [("ALL", 1), ("info", 2), ("TRADE", 4)],
+    )
+    def test_named_flag(self, value: str, expected: int) -> None:
+        """Test parsing named tick flags."""
+        assert parse_tick_flags(value) == expected
+
+    def test_integer_flag(self) -> None:
+        """Test parsing integer tick flag."""
+        assert parse_tick_flags("7") == 7
+
+    def test_invalid_flag_raises(self) -> None:
+        """Test that invalid flag raises ValueError."""
+        with pytest.raises(ValueError, match="Invalid tick flags"):
+            parse_tick_flags("INVALID")
+
+
+# ---------------------------------------------------------------------------
+# parse_request
+# ---------------------------------------------------------------------------
+
+
+class TestParseRequest:
+    """Tests for parse_request."""
+
+    def test_inline_json(self) -> None:
+        """Test parsing an inline JSON object string."""
+        result = parse_request('{"action": 1, "symbol": "EURUSD"}')
+        assert result == {"action": 1, "symbol": "EURUSD"}
+
+    def test_file_reference(self, tmp_path: Path) -> None:
+        """Test parsing JSON from a file via the @path syntax."""
+        path = tmp_path / "req.json"
+        path.write_text('{"action": 2}', encoding="utf-8")
+        result = parse_request(f"@{path}")
+        assert result == {"action": 2}
+
+    def test_invalid_json_raises(self) -> None:
+        """Test that invalid JSON raises ValueError."""
+        with pytest.raises(ValueError, match="Invalid JSON request"):
+            parse_request("not json")
+
+    def test_non_object_raises(self) -> None:
+        """Test that a non-object JSON raises ValueError."""
+        with pytest.raises(ValueError, match="must be a JSON object"):
+            parse_request("[1, 2, 3]")
+
+    def test_missing_file_raises(self, tmp_path: Path) -> None:
+        """Test that a missing request file raises ValueError."""
+        path = tmp_path / "missing.json"
+        with pytest.raises(ValueError, match="Failed to read JSON request file"):
+            parse_request(f"@{path}")
+
+
+# ---------------------------------------------------------------------------
+# Constants
+# ---------------------------------------------------------------------------
+
+
+class TestConstants:
+    """Tests for module constants."""
+
+    def test_timeframe_map_has_expected_keys(self) -> None:
+        """Test that TIMEFRAME_MAP contains standard timeframes."""
+        for key in ("M1", "M5", "M15", "M30", "H1", "H4", "D1", "W1", "MN1"):
+            assert key in TIMEFRAME_MAP
+
+    def test_tick_flag_map_has_expected_keys(self) -> None:
+        """Test that TICK_FLAG_MAP contains standard flags."""
+        assert set(TICK_FLAG_MAP) == {"ALL", "INFO", "TRADE"}
+
+    @pytest.mark.parametrize(
+        ("dataset", "expected"),
+        [
+            (Dataset.rates, "rates"),
+            (Dataset.ticks, "ticks"),
+            (Dataset.history_orders, "history_orders"),
+            (Dataset.history_deals, "history_deals"),
+        ],
+    )
+    def test_dataset_table_name(self, dataset: Dataset, expected: str) -> None:
+        """Test dataset SQLite table names."""
+        assert dataset.table_name == expected
+
+
+# ---------------------------------------------------------------------------
+# Click ParamTypes
+# ---------------------------------------------------------------------------
+
+
+class TestDateTimeType:
+    """Tests for _DateTimeType."""
+
+    def test_convert_string(self) -> None:
+        """Test converting a string to datetime."""
+        result = DATETIME_TYPE.convert("2024-06-15", None, None)
+        assert result == datetime(2024, 6, 15, tzinfo=UTC)
+
+    def test_convert_datetime_passthrough(self) -> None:
+        """Test that datetime values pass through unchanged."""
+        dt = datetime(2024, 1, 1, tzinfo=UTC)
+        assert DATETIME_TYPE.convert(dt, None, None) is dt
+
+    def test_convert_invalid(self) -> None:
+        """Test that invalid values raise BadParameter."""
+        with pytest.raises(Exception, match="Invalid datetime"):
+            DATETIME_TYPE.convert("bad", None, None)
+
+
+class TestTimeframeType:
+    """Tests for _TimeframeType."""
+
+    def test_convert_string(self) -> None:
+        """Test converting a string to timeframe integer."""
+        assert TIMEFRAME_TYPE.convert("H1", None, None) == 16385
+
+    def test_convert_int_passthrough(self) -> None:
+        """Test that integer values pass through unchanged."""
+        assert TIMEFRAME_TYPE.convert(42, None, None) == 42
+
+    def test_convert_invalid(self) -> None:
+        """Test that invalid values raise BadParameter."""
+        with pytest.raises(Exception, match="Invalid timeframe"):
+            TIMEFRAME_TYPE.convert("bad", None, None)
+
+
+class TestTickFlagsType:
+    """Tests for _TickFlagsType."""
+
+    def test_convert_string(self) -> None:
+        """Test converting a string to tick flags integer."""
+        assert TICK_FLAGS_TYPE.convert("ALL", None, None) == 1
+
+    def test_convert_int_passthrough(self) -> None:
+        """Test that integer values pass through unchanged."""
+        assert TICK_FLAGS_TYPE.convert(7, None, None) == 7
+
+    def test_convert_invalid(self) -> None:
+        """Test that invalid values raise BadParameter."""
+        with pytest.raises(Exception, match="Invalid tick flags"):
+            TICK_FLAGS_TYPE.convert("bad", None, None)
+
+
+class TestRequestType:
+    """Tests for _RequestType."""
+
+    def test_convert_string(self) -> None:
+        """Test converting a JSON string to a request dictionary."""
+        assert REQUEST_TYPE.convert('{"action": 1}', None, None) == {"action": 1}
+
+    def test_convert_invalid(self) -> None:
+        """Test that invalid values raise BadParameter."""
+        with pytest.raises(Exception, match="Invalid JSON request"):
+            REQUEST_TYPE.convert("bad", None, None)

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