release: bump 0.7.6 -> 0.7.7 (#229 )

Bumps the workspace to 0.7.7 to ship the Go binding.
Add the Go binding over the C ABI hub (#228 )
2026-06-09 17:35:25 +02:00 · 2026-06-09 17:33:37 +02:00 · 2026-06-09 14:34:18 +02:00 · 2026-06-09 14:32:05 +02:00
91 changed files with 71449 additions and 140 deletions
@@ -6,3 +6,13 @@
 # check (regenerate + `git diff`) never trips on a CRLF normalization.
 bindings/c/include/wickra.h text eol=lf

+# C# sources (including the generated binding) are pinned to LF so the committed
+# files stay stable regardless of the committer's autocrlf setting.
+*.cs text eol=lf
+
+# Go sources (including the generated binding) are pinned to LF so gofmt's CI
+# check never trips on a CRLF checkout on Windows.
+*.go text eol=lf
+go.mod text eol=lf
+go.sum text eol=lf
+
@@ -30,9 +30,9 @@ assignees: ""
 ## Environment

 - Wickra version:
- Language / binding: <!-- Rust crate / Python / Node / WASM / C ABI -->
+- Language / binding: <!-- Rust crate / Python / Node / WASM / C ABI / C# (.NET) / Go -->
 - OS and architecture:
- Rust / Python / Node version (If relevant):
+- Rust / Python / Node / .NET version (If relevant):

 ## Additional context

@@ -26,7 +26,7 @@ assignees: []
 | Binding version      | `e.g. python 0.4.2 / node 0.4.2`       |
 | OS / arch            | `e.g. Windows 11 x86_64, Linux glibc`  |
 | Rust toolchain       | `rustc --version` (If building from source) |
-| Python / Node version | `python --version` / `node --version` |
+| Python / Node / .NET version | `python --version` / `node --version` / `dotnet --version` |

 ## Minimal reproducer

@@ -25,6 +25,9 @@ assignees: ""
 - [ ] Should be exposed in the Python binding
 - [ ] Should be exposed in the Node binding
 - [ ] Should be exposed in the WASM binding
+- [ ] Should be exposed in the C ABI
+- [ ] Should be exposed in the C# / .NET binding
+- [ ] Should be exposed in the Go binding

 ## Additional context

@@ -13,7 +13,7 @@ assignees: []
 ## Affected code path

 - Indicator / API: `e.g. EMA.update`
- Binding: `Rust / Python / Node / Wasm / C ABI`
+- Binding: `Rust / Python / Node / Wasm / C ABI / C# (.NET) / Go`
 - Hot loop or one-shot call?

 ## Versions compared
@@ -33,4 +33,4 @@ import wickra as ta
 ## Environment (Only if relevant)

 - Wickra version: `e.g. 0.4.2`
- Binding: `Rust / Python / Node / Wasm / C ABI`
+- Binding: `Rust / Python / Node / Wasm / C ABI / C# (.NET) / Go`
@@ -22,7 +22,7 @@
 - [ ] `cargo clippy --workspace --all-targets -- -D warnings` is clean.
 - [ ] `cargo test --workspace` passes.
 - [ ] New behaviour has tests; bug fixes have a regression test.
- [ ] Public API changes are mirrored in the Python / Node / WASM bindings and the C ABI is regenerated
+- [ ] Public API changes are mirrored in the Python / Node / WASM bindings, and the C ABI + C# + Go bindings are regenerated
      and their type stubs (If applicable).
 - [ ] The relevant page on the [documentation site](https://docs.wickra.org)
      and the `README.md` are updated (If applicable). Docs edits go to a
@@ -23,6 +23,9 @@ Please fill in the sections below. Delete any that don't apply.
 - [ ] Python binding (`bindings/python`)
 - [ ] Node.js binding (`bindings/node`)
 - [ ] WebAssembly binding (`bindings/wasm`)
+- [ ] C ABI (`bindings/c`)
+- [ ] C# / .NET binding (`bindings/csharp`)
+- [ ] Go binding (`bindings/go`)
 - [ ] Examples / docs

 ## Linked issues
@@ -677,6 +677,155 @@ jobs:
          cmake --build examples/c/build --config Release
          ctest --test-dir examples/c/build -C Release --output-on-failure

+  csharp:
+    name: C# on ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, macos-latest, windows-latest]
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          persist-credentials: false
+
+      - name: Install Rust toolchain
+        uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
+
+      - name: Cache cargo
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
+        continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
+        timeout-minutes: 6
+
+      # The binding links against the C ABI hub at runtime; build it first so the
+      # DllImportResolver finds target/release/wickra.{dll,so,dylib}. .NET 8 SDK is
+      # preinstalled on the GitHub runners, so no setup-dotnet step is needed.
+      - name: Build the C ABI library
+        run: cargo build -p wickra-c --release
+
+      - name: .NET info
+        run: dotnet --info
+
+      - name: Test the C# binding
+        run: dotnet test bindings/csharp/Wickra.Tests/Wickra.Tests.csproj -c Release
+
+      - name: Build the C# examples
+        shell: bash
+        run: |
+          for d in streaming backtest multi_timeframe parallel_assets \
+                   strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze \
+                   fetch_btcusdt live_binance; do
+            dotnet build "examples/csharp/$d" -c Release
+          done
+
+      # Run only the offline examples (fetch_btcusdt / live_binance need network).
+      - name: Run the offline C# examples
+        shell: bash
+        run: |
+          for d in streaming backtest multi_timeframe parallel_assets \
+                   strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze; do
+            dotnet run --project "examples/csharp/$d" -c Release --no-build
+          done
+
+  go:
+    name: Go on ${{ matrix.os }}
+    runs-on: ${{ matrix.os }}
+    strategy:
+      fail-fast: false
+      matrix:
+        os: [ubuntu-latest, macos-latest, windows-latest]
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          persist-credentials: false
+
+      # Go is not reliably on PATH on every runner image, so install it
+      # explicitly. cache: false — the cargo build dominates and the modules
+      # have no external Go deps worth caching.
+      - name: Set up Go
+        id: setup-go
+        continue-on-error: true
+        uses: actions/setup-go@40f1582b2485089dde7abd97c1529aa768e1baff # v5
+        with:
+          go-version: "stable"
+          cache: false
+
+      - name: Retry Go setup (CDN flake)
+        if: steps.setup-go.outcome == 'failure'
+        shell: bash
+        run: |
+          echo "::warning::setup-go failed (likely CDN flake), waiting 30s before retry..."
+          sleep 30
+
+      - name: Set up Go (retry)
+        if: steps.setup-go.outcome == 'failure'
+        uses: actions/setup-go@40f1582b2485089dde7abd97c1529aa768e1baff # v5
+        with:
+          go-version: "stable"
+          cache: false
+
+      - name: Install Rust toolchain
+        uses: dtolnay/rust-toolchain@29eef336d9b2848a0b548edc03f92a220660cdb8 # stable branch, 2026-03-27
+
+      - name: Cache cargo
+        uses: Swatinem/rust-cache@e18b497796c12c097a38f9edb9d0641fb99eee32 # v2
+        continue-on-error: true # cache is an optimisation; never block on a stuck/slow restore
+        timeout-minutes: 6
+
+      # The binding links against the C ABI hub via cgo; build it first and stage
+      # the platform library under bindings/go/lib so cgo's LDFLAGS find it. Go is
+      # preinstalled on the GitHub runners, so no setup-go step is needed.
+      - name: Build the C ABI library
+        run: cargo build -p wickra-c --release
+
+      - name: Stage the native library
+        shell: bash
+        run: |
+          mkdir -p bindings/go/lib
+          case "$RUNNER_OS" in
+            Linux)   cp target/release/libwickra.so    bindings/go/lib/ ;;
+            macOS)   cp target/release/libwickra.dylib  bindings/go/lib/ ;;
+            Windows) cp target/release/wickra.dll       bindings/go/lib/ ;;
+          esac
+
+      - name: Go info
+        run: go version
+
+      - name: Check gofmt
+        shell: bash
+        run: |
+          unformatted="$(gofmt -l bindings/go examples/go)"
+          if [ -n "$unformatted" ]; then
+            echo "gofmt needed on:"; echo "$unformatted"; exit 1
+          fi
+
+      - name: Vet and test the Go binding
+        shell: bash
+        # On Windows there is no rpath; the loader resolves wickra.dll via PATH.
+        run: |
+          export PATH="$PWD/bindings/go/lib:$PATH"
+          cd bindings/go
+          go vet ./...
+          go test ./...
+
+      - name: Build the Go examples
+        shell: bash
+        run: |
+          export PATH="$PWD/bindings/go/lib:$PATH"
+          cd examples/go
+          go build ./...
+
+      # Run only the offline examples (fetch_btcusdt / live_binance need network).
+      - name: Run the offline Go examples
+        shell: bash
+        run: |
+          export PATH="$PWD/bindings/go/lib:$PATH"
+          cd examples/go
+          for d in streaming backtest multi_timeframe parallel_assets \
+                   strategy_rsi_mean_reversion strategy_macd_adx strategy_bollinger_squeeze; do
+            go run "./$d"
+          done
+
  # The cross-library benchmark has moved to a dedicated scheduled workflow
  # (.github/workflows/bench.yml) — see audit finding R10. It runs nightly
  # at 03:00 UTC and on-demand via `workflow_dispatch`, and is no longer on
@@ -624,6 +624,88 @@ jobs:
          path: wickra-c-${{ matrix.target }}.tar.gz
          if-no-files-found: error

+  # Pack and publish the .NET binding to NuGet. Independent of the GitHub-release
+  # job so a C# hiccup never blocks the C/C++ asset release. Authentication uses
+  # NuGet Trusted Publishing (OIDC) — no long-lived API key. The 'wickra-release'
+  # trusted-publishing policy on nuget.org (owner KingchenC, repo wickra-lib/wickra,
+  # workflow release.yml) exchanges the GitHub OIDC token for a short-lived key.
+  csharp-publish:
+    name: Publish to NuGet
+    needs: c-abi-build
+    runs-on: ubuntu-latest
+    environment: release
+    permissions:
+      contents: read
+      id-token: write # request the GitHub OIDC token for trusted publishing
+    steps:
+      - uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
+        with:
+          persist-credentials: false
+
+      - name: Download the C ABI native libraries
+        uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+        with:
+          pattern: c-abi-*
+          path: c-abi-artifacts
+
+      - name: Stage native libraries into runtimes/<rid>/native
+        shell: bash
+        run: |
+          set -e
+          declare -A RID=(
+            [x86_64-unknown-linux-gnu]=linux-x64
+            [aarch64-unknown-linux-gnu]=linux-arm64
+            [x86_64-apple-darwin]=osx-x64
+            [aarch64-apple-darwin]=osx-arm64
+            [x86_64-pc-windows-msvc]=win-x64
+            [aarch64-pc-windows-msvc]=win-arm64
+          )
+          base=bindings/csharp/Wickra/runtimes
+          for target in "${!RID[@]}"; do
+            archive=$(find c-abi-artifacts -name "wickra-c-$target.tar.gz" | head -1)
+            if [ -z "$archive" ]; then
+              echo "::error::missing native artifact for $target"; exit 1
+            fi
+            tmp=$(mktemp -d); tar -xzf "$archive" -C "$tmp"
+            dest="$base/${RID[$target]}/native"; mkdir -p "$dest"
+            for f in libwickra.so libwickra.dylib wickra.dll; do
+              src=$(find "$tmp" -name "$f" | head -1)
+              [ -n "$src" ] && cp "$src" "$dest/"
+            done
+            echo "staged ${RID[$target]}:"; ls -l "$dest"
+          done
+
+      - name: Pack
+        shell: bash
+        run: |
+          version="${GITHUB_REF_NAME#v}"
+          dotnet pack bindings/csharp/Wickra/Wickra.csproj -c Release -p:Version="$version" -o nupkg
+
+      # Exchange the GitHub OIDC token for a short-lived (~1h) NuGet API key.
+      # 'user' is the nuget.org profile name (the package owner), not an email.
+      - name: NuGet login (OIDC -> temporary API key)
+        uses: NuGet/login@8d196754b4036150537f80ac539e15c2f1028841 # v1.2.0
+        id: nuget_login
+        with:
+          user: KingchenC
+
+      # Pass the temporary key through the environment (not string-interpolated
+      # into the script) so it cannot be parsed as shell — avoids template injection.
+      - name: Push to NuGet
+        shell: bash
+        env:
+          NUGET_API_KEY: ${{ steps.nuget_login.outputs.NUGET_API_KEY }}
+        run: |
+          dotnet nuget push "nupkg/*.nupkg" --api-key "$NUGET_API_KEY" \
+            --source https://api.nuget.org/v3/index.json --skip-duplicate
+
+      - name: Upload the NuGet package as a build artifact
+        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        with:
+          name: nuget-package
+          path: nupkg/*.nupkg
+          if-no-files-found: error
+
  github-release:
    name: Attach assets to the draft GitHub Release
    needs: [cargo-publish, python-publish, node-publish, wasm-publish, c-abi-build]
@@ -149,7 +149,7 @@ jobs:
          # actually live (Cloudflare Pages, P8.1); merging this PR is therefore
          # gated on the domain resolving, otherwise the About link would 404.
          homepage="https://docs.wickra.org"
-          desc="Streaming-first technical indicators with a Rust core and Python, Node.js, WebAssembly, and C ABI bindings. ${n} indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement."
+          desc="Streaming-first technical indicators with a Rust core and Python, Node.js, WebAssembly, C ABI, .NET, and Go bindings. ${n} indicators, O(1) per-tick updates, no system dependencies. Drop-in TA-Lib replacement."
          # Enforce the homepage unconditionally — it is a constant, so this both
          # corrects the stale kingchenc URL and self-heals any future drift.
          # Same Administration-write permission as --description (no extra scope).
@@ -27,21 +27,27 @@ or replace lives behind a separate crate boundary.
   │   no I/O, no deps    │            │  optional features │
   └──────────────────────┘            └────────────────────┘
                ▲
-                │ (every binding wraps the same core)
-                │
-   ┌───────────┬────────────┴┬──────────────┬──────────────────────┐
-   │           │             │              │                      │
-┌──▼─────┐ ┌───▼────┐ ┌──────▼──────┐ ┌─────▼──────────────┐
-│ Python │ │  Node  │ │    WASM     │ │  C ABI (cbindgen)  │
-│ (PyO3) │ │(napi-rs)│ │(wasm-bindgen)│ │  cdylib + header   │
-└────────┘ └────────┘ └─────────────┘ └────────────────────┘
+                │  every binding wraps the same core
+   ┌────────────┼────────────┬────────────────┐
+   │            │            │                │
+┌──▼───────┐ ┌──▼───────┐ ┌──▼───────────┐ ┌──▼──────────────────┐
+│  Python  │ │   Node   │ │     WASM     │ │  C ABI (cbindgen)   │
+│  (PyO3)  │ │ (napi-rs)│ │(wasm-bindgen)│ │   cdylib + header   │
+└──────────┘ └──────────┘ └──────────────┘ └─────────┬───────────┘
+                                                     │  linked by
+                                          ┌──────────▼──────────┐
+                                          │  C · C++ · C# · Go  │
+                                          │     · Java · R      │
+                                          └─────────────────────┘
 ```

 Python, Node and WASM are *native* Rust bindings (PyO3 / napi-rs /
 wasm-bindgen). The C ABI is the *hub* every other C-capable language links
 against: it builds to a `cdylib`/`staticlib` plus a generated `wickra.h`, and
-C / C++ / Go / C# / Java / R consume that one artifact rather than each
-re-wrapping the core.
+downstream languages link that one artifact rather than each re-wrapping the
+core. C and C++ link it directly; the **C# / .NET** binding (`bindings/csharp`,
+on NuGet) and the **Go** binding (`bindings/go`, cgo) are generated from
+`wickra.h`, with Java / R planned the same way.

 | Crate | Path | What it owns | Public deps |
 |---|---|---|---|
@@ -7,6 +7,23 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0

 ## [Unreleased]

+## [0.7.7] - 2026-06-09
+### Added
+- **Go binding (`bindings/go`)** — a cgo binding over the C ABI hub exposing all
+  514 indicators as idiomatic types with `New<Indicator>` constructors and
+  `Update`/`Batch`/`Reset`/`Close` methods, generated from `wickra.h`. Handles are
+  freed by `Close()` with a `runtime.SetFinalizer` backstop. Ships a full example
+  suite mirroring the C and C# examples; distributed as a subdirectory module
+  (`go get github.com/wickra-lib/wickra/bindings/go`).
+
+## [0.7.6] - 2026-06-09
+### Added
+- **C# / .NET binding (`bindings/csharp`)** — the first language stecker on the
+  C ABI hub. Exposes all 514 indicators as idiomatic `IDisposable` classes via
+  `[LibraryImport]` source-generated P/Invoke, generated from `wickra.h`. Ships
+  on NuGet as `Wickra` with prebuilt native libraries for six target triples
+  (win/linux/osx × x64/arm64), plus a full example suite mirroring the C examples.
+
 ## [0.7.5] - 2026-06-09
 ### Added
 - **C ABI (`bindings/c`)** — a `cdylib` + `staticlib` plus a generated
@@ -1426,7 +1443,9 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
  optional Binance live feed.
 - Bindings for Python, Node.js, and WebAssembly.

-[Unreleased]: https://github.com/wickra-lib/wickra/compare/v0.7.5...HEAD
+[Unreleased]: https://github.com/wickra-lib/wickra/compare/v0.7.7...HEAD
+[0.7.7]: https://github.com/wickra-lib/wickra/compare/v0.7.6...v0.7.7
+[0.7.6]: https://github.com/wickra-lib/wickra/compare/v0.7.5...v0.7.6
 [0.7.5]: https://github.com/wickra-lib/wickra/compare/v0.7.4...v0.7.5
 [0.7.4]: https://github.com/wickra-lib/wickra/compare/v0.7.3...v0.7.4
 [0.7.3]: https://github.com/wickra-lib/wickra/compare/v0.7.2...v0.7.3
@@ -22,6 +22,8 @@ licensed as above, without any additional terms or conditions.
 | `bindings/node` | napi-rs bindings (`wickra` on npm). |
 | `bindings/wasm` | wasm-bindgen bindings (`wickra-wasm` on npm). |
 | `bindings/c` | C ABI — `cdylib` + `staticlib` + generated `include/wickra.h`. The hub for C / C++ and any C-capable language. |
+| `bindings/csharp` | .NET binding over the C ABI (`Wickra` on NuGet) — `[LibraryImport]` P/Invoke generated from `wickra.h`. |
+| `bindings/go` | Go binding over the C ABI via cgo (module tag `bindings/go/vX.Y.Z`) — wrappers generated from `wickra.h`. |
 | `examples/` | Runnable examples. |
 | `docs/` | Pointer to the documentation site (docs.wickra.org); the docs live in the `wickra-lib/wickra-docs` repo. |

@@ -105,7 +107,10 @@ installed. Dependabot also keeps the `.github/requirements` pins current.
 - **Bindings.** A change to a public indicator API must be mirrored across the
  Python, Node, and WASM bindings, including their type stubs / `.d.ts`. The C ABI
  (`bindings/c`) is generated from the core, so regenerate it from the core and
-  commit `src/lib.rs` + `include/wickra.h`.
+  commit `src/lib.rs` + `include/wickra.h`. The C# binding (`bindings/csharp`) is
+  generated from `wickra.h`, so regenerate and commit its `Generated/*.g.cs` too.
+  The Go binding (`bindings/go`) is likewise generated from `wickra.h`, so
+  regenerate and commit `indicators_gen.go` (`gofmt`-clean).
 - **Docs.** Update the relevant page on the
  [documentation site](https://docs.wickra.org) and the
  `README.md` when behaviour or the public API changes. The docs live in
@@ -1944,7 +1944,7 @@ dependencies = [

 [[package]]
 name = "wickra"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "approx",
 "criterion",
@@ -1955,7 +1955,7 @@ dependencies = [

 [[package]]
 name = "wickra-bench"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "criterion",
 "kand",
@@ -1967,14 +1967,14 @@ dependencies = [

 [[package]]
 name = "wickra-c"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "wickra-core",
 ]

 [[package]]
 name = "wickra-core"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "approx",
 "proptest",
@@ -1984,7 +1984,7 @@ dependencies = [

 [[package]]
 name = "wickra-data"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "approx",
 "csv",
@@ -2001,7 +2001,7 @@ dependencies = [

 [[package]]
 name = "wickra-examples"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "serde_json",
 "tokio",
@@ -2011,7 +2011,7 @@ dependencies = [

 [[package]]
 name = "wickra-node"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "napi",
 "napi-build",
@@ -2021,7 +2021,7 @@ dependencies = [

 [[package]]
 name = "wickra-python"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "numpy",
 "pyo3",
@@ -2030,7 +2030,7 @@ dependencies = [

 [[package]]
 name = "wickra-wasm"
-version = "0.7.5"
+version = "0.7.7"
 dependencies = [
 "console_error_panic_hook",
 "js-sys",
@@ -14,7 +14,7 @@ members = [
 exclude = ["fuzz"]

 [workspace.package]
-version = "0.7.5"
+version = "0.7.7"
 authors = ["kingchenc <support@wickra.org>"]
 edition = "2021"
 rust-version = "1.86"
@@ -26,7 +26,7 @@ keywords = ["finance", "trading", "indicators", "technical-analysis", "ta"]
 categories = ["finance", "mathematics", "science"]

 [workspace.dependencies]
-wickra-core = { path = "crates/wickra-core", version = "0.7.5" }
+wickra-core = { path = "crates/wickra-core", version = "0.7.7" }

 thiserror = "2"
 rayon = "1.10"
@@ -2,24 +2,25 @@
  <a href="https://wickra.org"><img src="https://raw.githubusercontent.com/wickra-lib/.github/main/profile/wickra-banner.webp?v=514" alt="Wickra — streaming-first technical indicators" width="100%"></a>
 </p>

-[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
-[![CodeQL](https://github.com/wickra-lib/wickra/actions/workflows/codeql.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/codeql.yml)
-[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
-[![GitHub release](https://img.shields.io/github/v/release/wickra-lib/wickra?logo=github&color=green)](https://github.com/wickra-lib/wickra/releases/latest)
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-[![OpenSSF Scorecard](https://api.securityscorecards.dev/projects/github.com/wickra-lib/wickra/badge)](https://scorecard.dev/viewer/?uri=github.com/wickra-lib/wickra)
-[![OpenSSF Best Practices](https://www.bestpractices.dev/projects/13094/badge)](https://www.bestpractices.dev/projects/13094)
-[![Build provenance](https://img.shields.io/badge/provenance-attested-brightgreen?logo=github)](https://github.com/wickra-lib/wickra/attestations)
-[![Docs](https://img.shields.io/badge/docs-docs.wickra.org-0ea5e9?logo=readthedocs&logoColor=white)](https://docs.wickra.org)
+[![CI](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/ci.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
+[![CodeQL](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/codeql.svg)](https://github.com/wickra-lib/wickra/actions/workflows/codeql.yml)
+[![codecov](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/codecov.svg)](https://codecov.io/gh/wickra-lib/wickra)
+[![GitHub release](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/release.svg)](https://github.com/wickra-lib/wickra/releases/latest)
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+[![PyPI](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/pypi.svg)](https://pypi.org/project/wickra/)
+[![npm](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/npm.svg)](https://www.npmjs.com/package/wickra)
+[![NuGet](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/nuget.svg)](https://www.nuget.org/packages/Wickra)
+[![License: MIT OR Apache-2.0](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/license.svg)](#license)
+[![OpenSSF Scorecard](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/scorecard.svg)](https://scorecard.dev/viewer/?uri=github.com/wickra-lib/wickra)
+[![OpenSSF Best Practices](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/best-practices.svg)](https://www.bestpractices.dev/projects/13094)
+[![Build provenance](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/provenance.svg)](https://github.com/wickra-lib/wickra/attestations)
+[![Docs](https://raw.githubusercontent.com/wickra-lib/.github/main/profile/badges/docs.svg)](https://docs.wickra.org)

 **Streaming-first technical indicators. Install with `pip install wickra` — no system dependencies.**

 Wickra is a multi-language technical-analysis library with a Rust core and
-native bindings for Python, Node.js and WebAssembly, plus a C ABI that any
-C-capable language (C, C++, and beyond) links against. Every indicator is a
+native bindings for Python, Node.js and WebAssembly, plus a C ABI that C, C++,
+C# / .NET, Go and any other C-capable language links against. Every indicator is a
 state machine that updates in O(1) per new data point, so live trading bots and
 historical backtests share the exact same implementation.

@@ -47,7 +48,10 @@ Full documentation lives at **[docs.wickra.org](https://docs.wickra.org)**:
 - **Quickstarts** — [Rust](https://docs.wickra.org/Quickstart-Rust),
  [Python](https://docs.wickra.org/Quickstart-Python),
  [Node](https://docs.wickra.org/Quickstart-Node),
-  [WASM](https://docs.wickra.org/Quickstart-WASM).
+  [WASM](https://docs.wickra.org/Quickstart-WASM),
+  [C](https://docs.wickra.org/Quickstart-C),
+  [C#](https://docs.wickra.org/Quickstart-CSharp),
+  [Go](https://docs.wickra.org/Quickstart-Go).
 - **Indicators** — a per-indicator deep dive (formula, parameters, warmup) for
  every one of the 514 indicators; start at the
  [indicators overview](https://docs.wickra.org/Indicators-Overview).
@@ -73,7 +77,7 @@ times to get there.
  metrics — every single one updating in **O(1) per tick**. TA-Lib ships ~150 and
  none of them stream.
 - **One Rust core, five first-class targets.** Native **Python · Node.js ·
-  WebAssembly · Rust** plus a **C ABI** for C / C++ and any C-capable language —
+  WebAssembly · Rust** plus a **C ABI** for C / C++, C# / .NET, Go and any other C-capable language —
  identical math, identical results, zero per-language reimplementation and zero
  GIL bottleneck.
 - **Correct by construction, not by hope.** Every `update` validates its input,
@@ -97,7 +101,8 @@ Every other library forces one of those compromises. Wickra doesn't:

 | Library          | Install     | Streaming   | Languages                   | Indicators | Active |
 |------------------|-------------|-------------|-----------------------------|-----------:|--------|
-| **★&nbsp;Wickra**| **clean**   | **yes, O(1)** | **Python · Node · WASM · Rust · C** | **514** | **yes** |
+| **★&nbsp;Wickra**| **clean**   | **yes, O(1)** | **Rust · Python · Node · WASM** | **514** | **yes** |
+|                  |             |               | **C · C# · Go**                 |            |        |
 | kand             | clean       | yes         | Python · WASM · Rust        |       ~60  | yes    |
 | ta-rs            | clean       | yes         | Rust only                   |       ~30  | stale  |
 | yata             | clean       | partial     | Rust only                   |       ~35  | yes    |
@@ -168,8 +173,9 @@ as one column each. `Doji` is direction-less by default (`+1.0` / `0.0`);
 construct it in signed mode (`Doji::new().signed()`, `Doji(signed=True)`,
 `new Doji(true)`) for a dragonfly / gravestone `±1` reading.

-Adding a new indicator means implementing one trait in Rust; all five bindings
-inherit it automatically (the C ABI is generated from the core).
+Adding a new indicator means implementing one trait in Rust; every binding
+inherits it automatically (the C ABI — and the C# and Go bindings generated from
+it — regenerate from the core).

 ## Languages

@@ -180,6 +186,8 @@ inherit it automatically (the C ABI is generated from the core).
 | Browser / WASM    | `npm install wickra-wasm`                     | `examples/wasm/index.html` |
 | Rust              | `cargo add wickra`                            | `examples/rust/src/bin/backtest.rs` |
 | C / C++ (C ABI)   | header + library, see [`bindings/c`](bindings/c) | `examples/c/streaming.c` |
+| C# / .NET (C ABI) | `dotnet add package Wickra`, see [`bindings/csharp`](bindings/csharp) | `examples/csharp/streaming` |
+| Go (cgo, C ABI)   | `go get github.com/wickra-lib/wickra/bindings/go`, see [`bindings/go`](bindings/go) | `examples/go/streaming` |

 Each binding ships several runnable examples (streaming, backtest, live feed);
 [`examples/README.md`](examples/README.md) is the full cross-language index.
@@ -249,14 +257,18 @@ wickra/
 │   ├── python/              PyO3 + maturin (publishes on PyPI)
 │   ├── node/                napi-rs (publishes on npm)
 │   ├── wasm/                wasm-bindgen (browsers, bundlers, Node)
-│   └── c/                   C ABI (cdylib + staticlib) + generated include/wickra.h
+│   ├── c/                   C ABI (cdylib + staticlib) + generated include/wickra.h
+│   ├── csharp/              .NET binding over the C ABI (publishes on NuGet)
+│   └── go/                  Go binding over the C ABI via cgo (module tag)
 ├── examples/                examples/README.md indexes every language
 │   ├── data/                real BTCUSDT OHLCV datasets, one per timeframe
 │   ├── rust/                Rust workspace member (`wickra-examples`)
 │   ├── python/              backtest, live trading, parallel assets, multi-tf
 │   ├── node/                streaming, backtest, live trading (load `wickra`)
 │   ├── wasm/                browser demo for `wickra-wasm`
-│   └── c/                   C smoke + streaming, C++ RAII wrapper
+│   ├── c/                   C smoke + streaming, C++ RAII wrapper
+│   ├── csharp/              streaming, backtest, strategies (load `Wickra`)
+│   └── go/                  streaming, backtest, strategies (cgo binding)
 └── .github/workflows/       CI and release pipelines
 ```

@@ -289,6 +301,13 @@ cd bindings/node && npm install && npm run build && npm test
 cargo build -p wickra-c --release
 cmake -S examples/c -B examples/c/build -DWICKRA_LIB_DIR="$PWD/target/release"
 cmake --build examples/c/build && ctest --test-dir examples/c/build --output-on-failure
+
+# C# / .NET binding (requires the .NET 8 SDK; links the C ABI above)
+dotnet test bindings/csharp/Wickra.Tests/Wickra.Tests.csproj
+
+# Go binding (requires a C compiler for cgo; links the C ABI above)
+cp target/release/libwickra.so bindings/go/lib/   # .dylib on macOS, wickra.dll on Windows
+cd bindings/go && go test ./...
 ```

 ## Testing
@@ -308,6 +327,8 @@ Every layer is covered; run the suites with the commands in
  values across all indicators.
 - `bindings/wasm`: `wasm-bindgen-test` cases for constructors, equivalence,
  and reference values.
+- `bindings/go`: `go test` cases covering one indicator per FFI archetype
+  (scalar/batch, multi-output, bars, profile, array input), reset, and lifecycle.

 ## Contributing

@@ -21,8 +21,9 @@ minor releases; breaking changes are called out in the changelog.
  versioning stability for a 1.0 release.
 - **Performance.** Keep per-tick updates O(1) and maintain the benchmark suite;
  investigate further allocation and cache improvements.
- **Bindings parity.** Keep the Python, Node.js and WebAssembly bindings in
-  lockstep with the Rust core, including type stubs and platform coverage.
+- **Bindings parity.** Keep the Python, Node.js and WebAssembly bindings — plus
+  the C ABI and the C# / .NET and Go bindings generated from it — in lockstep with the
+  Rust core, including type stubs and platform coverage.
 - **Documentation.** Maintain a deep-dive page per indicator on
  <https://docs.wickra.org>, plus quickstarts and cookbook material.
 - **Project health.** Maintain test coverage, static and dynamic analysis,
@@ -7,8 +7,8 @@ Thanks for using Wickra! Here is where to get help, depending on what you need.
 Most questions are answered in the documentation:

 - **Docs site:** <https://docs.wickra.org> — quickstarts for Rust, Python,
-  Node.js and WebAssembly, a per-indicator reference, warmup periods, the data
-  layer, and an FAQ.
+  Node.js, WebAssembly, C, C# and Go, a per-indicator reference, warmup periods, the
+  data layer, and an FAQ.
 - **README:** <https://github.com/wickra-lib/wickra#readme> — installation and a
  quick overview.
 - **API docs (Rust):** <https://docs.rs/wickra>.
@@ -3,7 +3,8 @@
 This document describes Wickra's attack surface and the threats considered,
 together with their mitigations. It complements the security assurance case in
 [`SECURITY.md`](SECURITY.md). Wickra is a computational technical-analysis
-library (a Rust core with Python, Node.js and WebAssembly bindings plus a C ABI),
+library (a Rust core with Python, Node.js and WebAssembly bindings plus a C ABI
+and the .NET and Go bindings built on it),
 not a network service or trading system; the attack surface is correspondingly
 small.

@@ -1,59 +1,80 @@
-# wickra-c
+# Wickra — C / C++

-C ABI for [Wickra](https://github.com/wickra-lib/wickra) — streaming-first
-technical indicators with a Rust core. This crate is the **hub**: it compiles the
+[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
+[![GitHub release](https://img.shields.io/github/v/release/wickra-lib/wickra?logo=github&color=green)](https://github.com/wickra-lib/wickra/releases/latest)
+[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
+
+**Streaming-first technical indicators for C and C++. A prebuilt shared/static
+library plus a generated `wickra.h` — no system dependencies.**
+
+Wickra is a multi-language technical-analysis library with a Rust core and
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
+other C-capable language. Every indicator is an O(1)
+streaming state machine, so live trading bots and historical backtests share
+the exact same implementation. This package is the **C ABI hub**: it compiles the
 core to a C-compatible shared/static library plus a generated header, so any
 C-capable language (C, C++, Go, C#, Java, R) links against one artifact instead
-of re-wiring every indicator natively.
+of re-wrapping every indicator natively.

-The native Python, Node, and WebAssembly bindings are unaffected — this is
-additive, for the ecosystems without first-class Rust tooling.
+## Install

-## Artifacts
+Grab the prebuilt header + library for your platform from the
+[GitHub releases](https://github.com/wickra-lib/wickra/releases) — each archive
+has `wickra.h`, the optional `wickra.hpp` C++ wrapper, and the shared/static
+library — or build from source:

-```sh
+```bash
 cargo build -p wickra-c --release
+# -> target/release/libwickra.{so,dylib} or wickra.dll (+ import lib) + a staticlib
 ```

- `target/release/libwickra.{so,dylib}` / `wickra.dll` (+ `wickra.dll.lib` import lib on Windows)
- `target/release/libwickra.a` / `wickra.lib` (static)
- [`include/wickra.h`](include/wickra.h) — generated by cbindgen, committed.
+Then compile against the header and link the library
+(`cc app.c -I include -L lib -lwickra -lm -o app`).

-## API shape
-
-Each indicator is exposed as five `extern "C"` functions over an opaque handle:
+## Quick start

 ```c
-struct Sma *wickra_sma_new(uintptr_t period);                 /* NULL on bad params */
-double      wickra_sma_update(struct Sma *h, double value);   /* NaN during warmup */
-void        wickra_sma_batch(struct Sma *h, const double *in, double *out, uintptr_t n);
-void        wickra_sma_reset(struct Sma *h);
-void        wickra_sma_free(struct Sma *h);                   /* exactly once per _new */
+#include "wickra.h"
+
+struct Rsi *rsi = wickra_rsi_new(14);              /* NULL on invalid params */
+for (size_t i = 0; i < n; ++i) {
+    double v = wickra_rsi_update(rsi, prices[i]);  /* NaN during warmup       */
+    if (v == v && v > 70.0)                        /* v == v is the NaN check */
+        printf("overbought\n");
+}
+wickra_rsi_free(rsi);                              /* exactly once per _new   */
 ```

-Conventions:
+Every indicator is an opaque handle with the same five functions —
+`_new` / `_update` / `_batch` / `_reset` / `_free`. `update` is O(1); there is no
+RAII across the C boundary, so each `_new` needs exactly one `_free`, and every
+function is NULL-safe (a NULL handle yields `NaN` or a no-op, never a crash).
+Multi-output indicators (MACD, Bollinger, ADX, …) take a pointer to a `#[repr(C)]`
+struct and return a `bool`. The optional `wickra.hpp` wraps any handle in a
+move-only `wickra::Handle` for exception-safe C++ lifetimes.

- **Opaque handles.** `wickra_<ind>_new` returns a `T *` you must release with
-  exactly one `wickra_<ind>_free`. There is no RAII across the boundary.
- **NaN sentinel.** Scalar outputs return `NaN` while warming up or on a `NULL`
-  handle, mirroring the other bindings — no error codes for the common path.
- **Caller-owned batch buffers.** `wickra_<ind>_batch` writes one output per
-  input into a buffer you provide; nothing is allocated across the boundary.
- **NULL-safe.** Every function tolerates a `NULL` handle without crashing.
+## Documentation

-## Header regeneration
+The full indicator catalogue, guides, quickstarts, and API reference live in
+the main repository and documentation site:

-The header is generated and committed; CI checks it is in sync:
+- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
+- **Docs** (C quickstart, cookbook, TA-Lib migration): <https://docs.wickra.org/Quickstart-C>
+- **Runnable examples:** [`examples/c/`](https://github.com/wickra-lib/wickra/tree/main/examples/c)

-```sh
-cbindgen --config bindings/c/cbindgen.toml --crate wickra-c --output bindings/c/include/wickra.h
-```
+Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus this
+C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
+all exposing the same indicators from the shared Rust core.

-## Examples
+## Disclaimer

-Runnable C examples (build via CMake or a direct compiler invocation) live in
-[`examples/c`](../../examples/c).
+Wickra is an indicator toolkit, not a trading system. The values it computes
+are deterministic transforms of the input data — they are not financial advice
+and do not predict the market. Any use in a live trading context is at your own
+risk. The library is provided **as is**, without warranty of any kind.

 ## License

-`MIT OR Apache-2.0`, the same as the rest of Wickra.
+Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
+or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
@@ -0,0 +1,12 @@
+# .NET build output
+bin/
+obj/
+*.user
+
+# NuGet packaging output
+*.nupkg
+*.snupkg
+
+# Native libraries staged for packaging (produced by the release pipeline from
+# the wickra-c-<triple>.tar.gz assets; never committed to source).
+Wickra/runtimes/
@@ -0,0 +1,78 @@
+# Wickra — .NET
+
+[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
+[![NuGet](https://img.shields.io/nuget/v/Wickra.svg?logo=nuget&color=blue)](https://www.nuget.org/packages/Wickra)
+[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
+
+**Streaming-first technical indicators for .NET. `dotnet add package Wickra` —
+prebuilt native library, no system dependencies.**
+
+Wickra is a multi-language technical-analysis library with a Rust core and
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
+other C-capable language. Every indicator is an O(1)
+streaming state machine, so live trading bots and historical backtests share
+the exact same implementation. This package is the .NET binding; it consumes the
+C ABI hub through `[LibraryImport]` P/Invoke and exposes all 514 streaming-first
+indicators as idiomatic `IDisposable` classes.
+
+## Install
+
+```bash
+dotnet add package Wickra
+```
+
+The native library ships prebuilt per platform (Linux, macOS, Windows — x64 and
+arm64) under `runtimes/<rid>/native/`, selected automatically. There is nothing
+to compile. Targets .NET 8 and later.
+
+## Quick start
+
+```csharp
+using Wickra;
+
+// Batch: run an indicator over a whole series (NaN at warmup positions).
+var prices = Enumerable.Range(0, 1000).Select(i => 100.0 + i * 0.1).ToArray();
+using var sma = new Sma(20);
+double[] values = sma.Batch(prices);
+
+// Streaming: the same indicator, fed tick by tick in O(1).
+using var rsi = new Rsi(14);
+foreach (var price in liveFeed)
+{
+    var value = rsi.Update(price); // NaN during warmup, no recomputation
+    if (double.IsFinite(value) && value > 70)
+    {
+        Console.WriteLine("overbought");
+    }
+}
+```
+
+`Batch(prices)` and feeding the same prices through `Update()` produce identical
+values — the equivalence is enforced by the test suite. Multi-output indicators
+(MACD, Bollinger, ADX, …) return a nullable `record struct`, `null` while warming up.
+
+## Documentation
+
+The full indicator catalogue, guides, quickstarts, and API reference live in
+the main repository and documentation site:
+
+- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
+- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
+- **Runnable examples:** [`examples/csharp/`](https://github.com/wickra-lib/wickra/tree/main/examples/csharp)
+
+Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
+C ABI hub that any C-capable language (C, C++, Go, C#, Java, R) links against —
+all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
+
+## Disclaimer
+
+Wickra is an indicator toolkit, not a trading system. The values it computes
+are deterministic transforms of the input data — they are not financial advice
+and do not predict the market. Any use in a live trading context is at your own
+risk. The library is provided **as is**, without warranty of any kind.
+
+## License
+
+Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
+or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
@@ -0,0 +1,144 @@
+using Wickra;
+using Xunit;
+
+namespace Wickra.Tests;
+
+/// <summary>
+/// One representative per FFI archetype, exercising every marshalling path the
+/// generator produces (scalar, candle, pairwise, multi-output, bars, profile,
+/// values-profile, array-input). Garbage marshalling surfaces as NaN, wild
+/// values, or crashes — so finite/sane assertions are the real check.
+/// </summary>
+public class ArchetypeTests
+{
+    private static (double open, double high, double low, double close, double volume, long ts) Candle(int i)
+    {
+        var close = 100.0 + 10.0 * Math.Sin(i * 0.3);
+        var open = 100.0 + 10.0 * Math.Sin((i - 1) * 0.3);
+        var high = Math.Max(open, close) + 1.0;
+        var low = Math.Min(open, close) - 1.0;
+        return (open, high, low, close, 1_000.0, i * 60_000L);
+    }
+
+    [Fact]
+    public void Scalar_Ema_IsFiniteAfterWarmup()
+    {
+        using var ema = new Ema(3);
+        double last = double.NaN;
+        for (var i = 1; i <= 10; i++)
+        {
+            last = ema.Update(i);
+        }
+
+        Assert.True(double.IsFinite(last));
+        Assert.InRange(last, 1.0, 10.0);
+    }
+
+    [Fact]
+    public void Candle_Atr_IsFinitePositive()
+    {
+        using var atr = new Atr(3);
+        double last = double.NaN;
+        for (var i = 0; i < 20; i++)
+        {
+            var (o, h, l, c, v, ts) = Candle(i);
+            last = atr.Update(o, h, l, c, v, ts);
+        }
+
+        Assert.True(double.IsFinite(last));
+        Assert.True(last > 0.0);
+    }
+
+    [Fact]
+    public void Pairwise_Beta_IsFinite()
+    {
+        using var beta = new Beta(5);
+        double last = double.NaN;
+        for (var i = 0; i < 30; i++)
+        {
+            var market = 100.0 + 10.0 * Math.Sin(i * 0.5);
+            var asset = 50.0 + 6.0 * Math.Sin(i * 0.5 + 0.2);
+            last = beta.Update(market, asset);
+        }
+
+        Assert.True(double.IsFinite(last));
+    }
+
+    [Fact]
+    public void MultiOutput_Adx_ReturnsFiniteStruct()
+    {
+        using var adx = new Adx(5);
+        AdxOutput? result = null;
+        for (var i = 0; i < 60; i++)
+        {
+            var (o, h, l, c, v, ts) = Candle(i);
+            result = adx.Update(o, h, l, c, v, ts);
+        }
+
+        Assert.NotNull(result);
+        Assert.True(double.IsFinite(result!.Value.Adx));
+        Assert.True(double.IsFinite(result.Value.PlusDi));
+        Assert.True(double.IsFinite(result.Value.MinusDi));
+    }
+
+    [Fact]
+    public void Bars_DollarBars_EmitsBars()
+    {
+        using var bars = new DollarBars(5_000.0);
+        var total = 0;
+        for (var i = 0; i < 200; i++)
+        {
+            var (o, h, l, c, v, ts) = Candle(i);
+            total += bars.Update(o, h, l, c, v, ts).Length;
+        }
+
+        Assert.True(total > 0);
+    }
+
+    [Fact]
+    public void Profile_VolumeProfile_ReturnsValues()
+    {
+        using var profile = new VolumeProfile(20, 8);
+        VolumeProfileOutputScalars? result = null;
+        for (var i = 0; i < 60; i++)
+        {
+            var (o, h, l, c, v, ts) = Candle(i);
+            result = profile.Update(o, h, l, c, v, ts);
+        }
+
+        Assert.NotNull(result);
+        Assert.NotNull(result!.Value.Values);
+        Assert.True(result.Value.PriceLow <= result.Value.PriceHigh);
+    }
+
+    [Fact]
+    public void ProfileValues_DayOfWeekProfile_NoCrash()
+    {
+        using var profile = new DayOfWeekProfile(0);
+        double[]? result = null;
+        for (var i = 0; i < 60; i++)
+        {
+            var close = 100.0 + 5.0 * Math.Sin(i * 0.2);
+            // one day apart so the day-of-week buckets fill
+            result = profile.Update(close, close + 1, close - 1, close, 1_000.0, i * 86_400_000L);
+        }
+
+        if (result is not null)
+        {
+            Assert.All(result, v => Assert.True(double.IsFinite(v)));
+        }
+    }
+
+    [Fact]
+    public void ArrayInput_DepthSlope_IsFinite()
+    {
+        using var slope = new DepthSlope();
+        ReadOnlySpan<double> bidPrice = stackalloc double[] { 99.0, 98.0, 97.0 };
+        ReadOnlySpan<double> bidSize = stackalloc double[] { 10.0, 20.0, 30.0 };
+        ReadOnlySpan<double> askPrice = stackalloc double[] { 101.0, 102.0, 103.0 };
+        ReadOnlySpan<double> askSize = stackalloc double[] { 12.0, 22.0, 32.0 };
+
+        var result = slope.Update(bidPrice, bidSize, askPrice, askSize);
+        Assert.True(double.IsFinite(result));
+    }
+}
@@ -0,0 +1,51 @@
+using Wickra;
+using Xunit;
+
+namespace Wickra.Tests;
+
+public class SmaTests
+{
+    [Fact]
+    public void StreamingMatchesReference()
+    {
+        using var sma = new Sma(3);
+        Assert.True(double.IsNaN(sma.Update(1)));
+        Assert.True(double.IsNaN(sma.Update(2)));
+        Assert.Equal(2.0, sma.Update(3), 9);
+        Assert.Equal(3.0, sma.Update(4), 9);
+        Assert.Equal(4.0, sma.Update(5), 9);
+    }
+
+    [Fact]
+    public void BatchMatchesStreaming()
+    {
+        using var sma = new Sma(3);
+        var output = sma.Batch(new double[] { 1, 2, 3, 4, 5 });
+
+        Assert.True(double.IsNaN(output[0]));
+        Assert.True(double.IsNaN(output[1]));
+        Assert.Equal(2.0, output[2], 9);
+        Assert.Equal(3.0, output[3], 9);
+        Assert.Equal(4.0, output[4], 9);
+    }
+
+    [Fact]
+    public void ResetClearsState()
+    {
+        using var sma = new Sma(3);
+        sma.Update(1);
+        sma.Update(2);
+        sma.Update(3);
+        sma.Reset();
+        Assert.True(double.IsNaN(sma.Update(10)));
+    }
+
+    [Fact]
+    public void ZeroPeriodThrows()
+    {
+        // Zero is rejected by the native constructor (returns NULL) -> ArgumentException;
+        // a negative period is caught earlier by the wrapper guard.
+        Assert.Throws<ArgumentException>(() => new Sma(0));
+        Assert.Throws<ArgumentOutOfRangeException>(() => new Sma(-1));
+    }
+}
@@ -0,0 +1,21 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>latest</LangVersion>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <IsPackable>false</IsPackable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Microsoft.NET.Test.Sdk" Version="17.11.1" />
+    <PackageReference Include="xunit" Version="2.9.2" />
+    <PackageReference Include="xunit.runner.visualstudio" Version="2.8.2" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\Wickra\Wickra.csproj" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,57 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>latest</LangVersion>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <AllowUnsafeBlocks>true</AllowUnsafeBlocks>
+    <RootNamespace>Wickra</RootNamespace>
+    <AssemblyName>Wickra</AssemblyName>
+
+    <!-- NuGet package metadata -->
+    <PackageId>Wickra</PackageId>
+    <Version>0.7.7</Version>
+    <Authors>kingchenc</Authors>
+    <Description>High-performance streaming technical-analysis indicators (514 indicators) for .NET, backed by the native Rust core via the Wickra C ABI.</Description>
+    <PackageLicenseExpression>MIT OR Apache-2.0</PackageLicenseExpression>
+    <PackageProjectUrl>https://github.com/wickra-lib/wickra</PackageProjectUrl>
+    <RepositoryUrl>https://github.com/wickra-lib/wickra</RepositoryUrl>
+    <RepositoryType>git</RepositoryType>
+    <PackageTags>technical-analysis;indicators;trading;finance;streaming;ffi;native</PackageTags>
+    <PackageReadmeFile>README.md</PackageReadmeFile>
+    <IncludeSymbols>true</IncludeSymbols>
+    <SymbolPackageFormat>snupkg</SymbolPackageFormat>
+    <GenerateDocumentationFile>true</GenerateDocumentationFile>
+    <!-- A managed package carrying per-RID native assets; not built per-RID itself. -->
+    <IncludeBuildOutput>true</IncludeBuildOutput>
+    <!-- NU5128: managed package carrying only per-RID native assets.
+         CS1591: generated members are self-descriptive; hand-written API is documented. -->
+    <NoWarn>$(NoWarn);NU5128;CS1591</NoWarn>
+  </PropertyGroup>
+
+  <!--
+    Supported native runtime identifiers. The release pipeline builds the C ABI
+    per target triple and stages the libraries under
+    Wickra/runtimes/<rid>/native/ before `dotnet pack`:
+      win-x64   win-arm64   linux-x64   linux-arm64   osx-x64   osx-arm64
+  -->
+  <PropertyGroup>
+    <WickraRuntimeIdentifiers>win-x64;win-arm64;linux-x64;linux-arm64;osx-x64;osx-arm64</WickraRuntimeIdentifiers>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <None Include="..\README.md" Pack="true" PackagePath="\" />
+  </ItemGroup>
+
+  <!--
+    Native libraries are packed under runtimes/<rid>/native/ by the release pipeline,
+    which unpacks the wickra-c-<triple>.tar.gz assets into the matching RID folders.
+    For local development and tests the natives are resolved from the cargo target dir
+    via WickraNative's DllImportResolver.
+  -->
+  <ItemGroup>
+    <None Include="runtimes/**/native/*" Pack="true" PackagePath="runtimes" Condition="Exists('runtimes')" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,26 @@
+using Microsoft.Win32.SafeHandles;
+
+namespace Wickra;
+
+/// <summary>
+/// Owns an opaque native indicator handle and releases it via the indicator's
+/// <c>_free</c> function. One generic handle type backs every indicator; the
+/// correct free routine is captured at construction time.
+/// </summary>
+internal sealed class WickraHandle : SafeHandleZeroOrMinusOneIsInvalid
+{
+    private readonly Action<nint> _free;
+
+    internal WickraHandle(nint handle, Action<nint> free)
+        : base(ownsHandle: true)
+    {
+        _free = free;
+        SetHandle(handle);
+    }
+
+    protected override bool ReleaseHandle()
+    {
+        _free(handle);
+        return true;
+    }
+}
@@ -0,0 +1,87 @@
+using System.Runtime.CompilerServices;
+using System.Runtime.InteropServices;
+
+namespace Wickra;
+
+/// <summary>
+/// Native library resolution for the Wickra C ABI.
+/// </summary>
+/// <remarks>
+/// When consumed as a NuGet package the native library ships under
+/// <c>runtimes/&lt;rid&gt;/native/</c> and the default runtime resolver finds it
+/// automatically. For local development (project reference against a cargo build)
+/// the resolver additionally walks up the directory tree to locate
+/// <c>target/release</c> or <c>target/debug</c>. Every candidate is validated to
+/// actually export the Wickra ABI before it is accepted, so an unrelated library
+/// of the same name cannot shadow the real one.
+/// </remarks>
+internal static class WickraNative
+{
+    /// <summary>The library name passed to <c>[LibraryImport]</c>.</summary>
+    internal const string LibraryName = "wickra";
+
+    // Any exported symbol works as a fingerprint; sma_new exists in every build.
+    private const string SentinelSymbol = "wickra_sma_new";
+
+    [ModuleInitializer]
+    internal static void Register()
+    {
+        NativeLibrary.SetDllImportResolver(typeof(WickraNative).Assembly, Resolve);
+    }
+
+    private static nint Resolve(string libraryName, System.Reflection.Assembly assembly, DllImportSearchPath? searchPath)
+    {
+        if (libraryName != LibraryName)
+        {
+            return nint.Zero;
+        }
+
+        // 1. Default resolution (NuGet runtimes/ layout, app-local copies). Accept
+        //    only if it is genuinely the Wickra ABI; otherwise discard and fall through.
+        if (NativeLibrary.TryLoad(libraryName, assembly, searchPath, out var handle))
+        {
+            if (Exports(handle))
+            {
+                return handle;
+            }
+
+            NativeLibrary.Free(handle);
+        }
+
+        // 2. Development fallback: locate the cargo build output.
+        var fileName = NativeFileName();
+        var dir = AppContext.BaseDirectory;
+        for (var i = 0; i < 16 && dir is not null; i++)
+        {
+            foreach (var profile in new[] { "release", "debug" })
+            {
+                var candidate = Path.Combine(dir, "target", profile, fileName);
+                if (File.Exists(candidate) && NativeLibrary.TryLoad(candidate, out var devHandle))
+                {
+                    if (Exports(devHandle))
+                    {
+                        return devHandle;
+                    }
+
+                    NativeLibrary.Free(devHandle);
+                }
+            }
+
+            dir = Path.GetDirectoryName(dir.TrimEnd(Path.DirectorySeparatorChar, Path.AltDirectorySeparatorChar));
+        }
+
+        return nint.Zero;
+    }
+
+    private static bool Exports(nint handle) => NativeLibrary.TryGetExport(handle, SentinelSymbol, out _);
+
+    private static string NativeFileName()
+    {
+        if (OperatingSystem.IsWindows())
+        {
+            return "wickra.dll";
+        }
+
+        return OperatingSystem.IsMacOS() ? "libwickra.dylib" : "libwickra.so";
+    }
+}
@@ -0,0 +1,100 @@
+# Wickra — Go
+
+[![CI](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml/badge.svg)](https://github.com/wickra-lib/wickra/actions/workflows/ci.yml)
+[![codecov](https://codecov.io/gh/wickra-lib/wickra/branch/main/graph/badge.svg)](https://codecov.io/gh/wickra-lib/wickra)
+[![Go Reference](https://pkg.go.dev/badge/github.com/wickra-lib/wickra/bindings/go.svg)](https://pkg.go.dev/github.com/wickra-lib/wickra/bindings/go)
+[![License: MIT OR Apache-2.0](https://img.shields.io/badge/license-MIT_OR_Apache--2.0-blue)](https://github.com/wickra-lib/wickra#license)
+
+**Streaming-first technical indicators for Go, over the Wickra C ABI hub via cgo.**
+
+Wickra is a multi-language technical-analysis library with a Rust core and
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and
+any other C-capable language. Every indicator is an O(1) streaming state machine,
+so live trading bots and historical backtests share the exact same
+implementation. This package is the Go binding; it consumes the C ABI hub through
+cgo and exposes all 514 streaming-first indicators as idiomatic types.
+
+## Install
+
+```bash
+go get github.com/wickra-lib/wickra/bindings/go
+```
+
+The binding uses cgo, so a C compiler is required, and it links against the
+prebuilt Wickra C ABI library. Build that library from the workspace and stage
+it under this package's `lib/` directory:
+
+```bash
+cargo build -p wickra-c --release
+cp target/release/libwickra.so    bindings/go/lib/   # Linux
+cp target/release/libwickra.dylib bindings/go/lib/   # macOS
+cp target/release/wickra.dll      bindings/go/lib/   # Windows (also on PATH at run time)
+```
+
+On Linux and macOS the library path is baked in via rpath; on Windows the DLL
+must be discoverable at run time (next to the executable or on `PATH`).
+
+## Quick start
+
+```go
+package main
+
+import (
+	"fmt"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+)
+
+func main() {
+	// Batch: run an indicator over a whole series (NaN at warmup positions).
+	prices := make([]float64, 1000)
+	for i := range prices {
+		prices[i] = 100.0 + float64(i)*0.1
+	}
+	sma, _ := wickra.NewSma(20)
+	defer sma.Close()
+	values := sma.Batch(prices)
+
+	// Streaming: the same indicator, fed tick by tick in O(1).
+	rsi, _ := wickra.NewRsi(14)
+	defer rsi.Close()
+	for _, price := range prices {
+		value := rsi.Update(price) // NaN during warmup, no recomputation
+		if value > 70 {
+			fmt.Println("overbought")
+		}
+	}
+	_ = values
+}
+```
+
+`Batch(prices)` and feeding the same prices through `Update()` produce identical
+values — the equivalence is enforced by the test suite. Multi-output indicators
+(MACD, Bollinger, ADX, …) return `(Output, bool)`, with `false` while warming up.
+Every indicator owns a native handle freed by `Close()`; a finalizer is wired as
+a backstop, but call `Close()` (e.g. with `defer`) to release memory promptly.
+
+## Documentation
+
+The full indicator catalogue, guides, quickstarts, and API reference live in the
+main repository and documentation site:
+
+- **Repository & full indicator list:** <https://github.com/wickra-lib/wickra>
+- **Docs** (quickstarts, cookbook, TA-Lib migration): <https://docs.wickra.org>
+- **Runnable examples:** [`examples/go/`](https://github.com/wickra-lib/wickra/tree/main/examples/go)
+
+Wickra ships native bindings for Python, Node.js, WebAssembly and Rust, plus a
+C ABI hub that any C-capable language (C, C++, C#, Go, Java, R) links against —
+all exposing the same indicators from the shared, `unsafe`-forbidden Rust core.
+
+## Disclaimer
+
+Wickra is an indicator toolkit, not a trading system. The values it computes are
+deterministic transforms of the input data — they are not financial advice and
+do not predict the market. Any use in a live trading context is at your own risk.
+The library is provided **as is**, without warranty of any kind.
+
+## License
+
+Licensed under either of [Apache-2.0](https://github.com/wickra-lib/wickra/blob/main/LICENSE-APACHE)
+or [MIT](https://github.com/wickra-lib/wickra/blob/main/LICENSE-MIT) at your option.
@@ -0,0 +1,3 @@
+module github.com/wickra-lib/wickra/bindings/go
+
+go 1.23
@@ -0,0 +1,7 @@
+# Prebuilt Wickra C ABI libraries are provisioned locally / in CI, not committed.
+*.so
+*.dylib
+*.dll
+*.a
+*.lib
+*.exp
@@ -0,0 +1,25 @@
+// Package wickra provides idiomatic Go bindings for the Wickra
+// technical-analysis library over its C ABI hub.
+//
+// Each indicator is an opaque-handle type with a New<Indicator> constructor and
+// Update/Batch/Reset/Close methods. Handles are freed by Close and, as a
+// backstop, by a finalizer; call Close explicitly to release native memory
+// promptly. The binding links against the prebuilt Wickra C ABI library
+// (libwickra.so/.dylib or wickra.dll) staged under ./lib — see the package
+// README for how to provision it.
+package wickra
+
+/*
+#cgo CFLAGS: -I${SRCDIR}/../c/include
+#cgo linux LDFLAGS: -L${SRCDIR}/lib -lwickra -Wl,-rpath,${SRCDIR}/lib
+#cgo darwin LDFLAGS: -L${SRCDIR}/lib -lwickra -Wl,-rpath,${SRCDIR}/lib
+#cgo windows LDFLAGS: -L${SRCDIR}/lib -l:wickra.dll
+#include "wickra.h"
+*/
+import "C"
+
+import "errors"
+
+// ErrInvalidParams is returned by a New<Indicator> constructor when the native
+// constructor rejects the supplied parameters (for example a zero period).
+var ErrInvalidParams = errors.New("wickra: invalid indicator parameters")
@@ -0,0 +1,151 @@
+package wickra
+
+import (
+	"math"
+	"testing"
+)
+
+// One indicator per FFI archetype, exercising the full New/Update/Batch/Reset/
+// Close surface against the real native library.
+
+func TestScalarKnownValue(t *testing.T) {
+	s, err := NewSma(3)
+	if err != nil {
+		t.Fatalf("NewSma: %v", err)
+	}
+	defer s.Close()
+
+	var last float64
+	for _, v := range []float64{1, 2, 3, 4, 5} {
+		last = s.Update(v)
+	}
+	if math.Abs(last-4.0) > 1e-9 {
+		t.Fatalf("sma(3) last = %v, want 4.0", last)
+	}
+}
+
+func TestScalarBatchMatchesStreaming(t *testing.T) {
+	input := []float64{1, 2, 3, 4, 5, 6, 7, 8}
+
+	stream, _ := NewSma(3)
+	defer stream.Close()
+	want := make([]float64, len(input))
+	for i, v := range input {
+		want[i] = stream.Update(v)
+	}
+
+	batchInd, _ := NewSma(3)
+	defer batchInd.Close()
+	got := batchInd.Batch(input)
+
+	if len(got) != len(want) {
+		t.Fatalf("batch len = %d, want %d", len(got), len(want))
+	}
+	for i := range want {
+		if math.IsNaN(want[i]) && math.IsNaN(got[i]) {
+			continue
+		}
+		if math.Abs(got[i]-want[i]) > 1e-9 {
+			t.Fatalf("batch[%d] = %v, streaming = %v", i, got[i], want[i])
+		}
+	}
+}
+
+func TestMultiOutput(t *testing.T) {
+	m, err := NewMacdIndicator(3, 6, 3)
+	if err != nil {
+		t.Fatalf("NewMacdIndicator: %v", err)
+	}
+	defer m.Close()
+
+	var ok bool
+	var out MacdOutput
+	for i := 0; i < 30; i++ {
+		out, ok = m.Update(100 + float64(i))
+	}
+	if !ok {
+		t.Fatal("macd never produced a value after warmup")
+	}
+	if math.IsNaN(out.Macd) {
+		t.Fatal("macd value is NaN after warmup")
+	}
+}
+
+func TestBars(t *testing.T) {
+	rb, err := NewRangeBars(2.0)
+	if err != nil {
+		t.Fatalf("NewRangeBars: %v", err)
+	}
+	defer rb.Close()
+
+	total := 0
+	for _, p := range []float64{100, 101, 103, 104, 99, 96, 102, 108, 95, 110} {
+		bars := rb.Update(p, p, p, p, 1, 0)
+		total += len(bars)
+	}
+	if total == 0 {
+		t.Fatal("range bars produced no bars over a 15-point move")
+	}
+}
+
+func TestProfile(t *testing.T) {
+	vp, err := NewVolumeProfile(10, 24)
+	if err != nil {
+		t.Fatalf("NewVolumeProfile: %v", err)
+	}
+	defer vp.Close()
+
+	var ok bool
+	var snap VolumeProfileOutputScalars
+	for i := 0; i < 50; i++ {
+		price := 100 + 5*math.Sin(float64(i)*0.3)
+		snap, ok = vp.Update(price, price+1, price-1, price, 1000, int64(i))
+	}
+	if !ok {
+		t.Fatal("volume profile never produced a snapshot")
+	}
+	if len(snap.Values) == 0 {
+		t.Fatal("volume profile returned an empty values buffer")
+	}
+}
+
+func TestArrayInput(t *testing.T) {
+	ob, err := NewOrderBookImbalanceFull()
+	if err != nil {
+		t.Fatalf("NewOrderBookImbalanceFull: %v", err)
+	}
+	defer ob.Close()
+
+	bidPrice := []float64{99.9, 99.8, 99.7}
+	bidSize := []float64{5, 3, 2}
+	askPrice := []float64{100.1, 100.2, 100.3}
+	askSize := []float64{1, 1, 1}
+	v := ob.Update(bidPrice, bidSize, askPrice, askSize)
+	if math.IsNaN(v) {
+		t.Fatal("order-book imbalance is NaN on a populated book")
+	}
+}
+
+func TestResetReturnsToWarmup(t *testing.T) {
+	s, _ := NewSma(3)
+	defer s.Close()
+	for _, v := range []float64{1, 2, 3} {
+		s.Update(v)
+	}
+	s.Reset()
+	if got := s.Update(10); !math.IsNaN(got) {
+		t.Fatalf("after reset first update = %v, want NaN (warmup)", got)
+	}
+}
+
+func TestInvalidParams(t *testing.T) {
+	if _, err := NewSma(0); err == nil {
+		t.Fatal("NewSma(0) should return ErrInvalidParams")
+	}
+}
+
+func TestCloseIsIdempotent(t *testing.T) {
+	s, _ := NewSma(3)
+	s.Close()
+	s.Close() // must not panic or double-free
+}
@@ -9,7 +9,7 @@
 prebuilt native binary, no system dependencies.**

 Wickra is a multi-language technical-analysis library with a Rust core and
-bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++ and any
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
 other C-capable language. Every indicator is an O(1)
 streaming state machine, so live trading bots and historical backtests share
 the exact same implementation. This package is the Node.js binding (napi-rs);
@@ -1,6 +1,6 @@
 {
  "name": "wickra-darwin-arm64",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (macOS Apple Silicon). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.darwin-arm64.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-darwin-x64",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (macOS Intel). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.darwin-x64.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-linux-arm64-gnu",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (linux arm64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.linux-arm64-gnu.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-linux-x64-gnu",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (linux x64 GNU). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.linux-x64-gnu.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-win32-arm64-msvc",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (Windows arm64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.win32-arm64-msvc.node",
  "files": [
@@ -1,6 +1,6 @@
 {
  "name": "wickra-win32-x64-msvc",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Native binding for wickra (Windows x64 MSVC). Installed automatically as an optional dependency of wickra on matching platforms.",
  "main": "wickra.win32-x64-msvc.node",
  "files": [
@@ -1,12 +1,12 @@
 {
  "name": "wickra",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "lockfileVersion": 3,
  "requires": true,
  "packages": {
    "": {
      "name": "wickra",
-      "version": "0.7.5",
+      "version": "0.7.7",
      "license": "MIT OR Apache-2.0",
      "devDependencies": {
        "@napi-rs/cli": "^2.18.0"
@@ -15,12 +15,12 @@
        "node": ">= 18"
      },
      "optionalDependencies": {
-        "wickra-darwin-arm64": "0.7.5",
-        "wickra-darwin-x64": "0.7.5",
-        "wickra-linux-arm64-gnu": "0.7.5",
-        "wickra-linux-x64-gnu": "0.7.5",
-        "wickra-win32-arm64-msvc": "0.7.5",
-        "wickra-win32-x64-msvc": "0.7.5"
+        "wickra-darwin-arm64": "0.7.7",
+        "wickra-darwin-x64": "0.7.7",
+        "wickra-linux-arm64-gnu": "0.7.7",
+        "wickra-linux-x64-gnu": "0.7.7",
+        "wickra-win32-arm64-msvc": "0.7.7",
+        "wickra-win32-x64-msvc": "0.7.7"
      }
    },
    "node_modules/@napi-rs/cli": {
@@ -41,8 +41,8 @@
      }
    },
    "node_modules/wickra-darwin-arm64": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-darwin-arm64/-/wickra-darwin-arm64-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-darwin-arm64/-/wickra-darwin-arm64-0.7.7.tgz",
      "integrity": "sha512-4eZiBR/yGUdr4nzhEUFy2i69XgNx64iI2ax/LPamsThgylC0KpHOZKK19QzJ2d9KbK4C8nMjME5FLuR+4GNEwQ==",
      "cpu": [
        "arm64"
@@ -57,8 +57,8 @@
      }
    },
    "node_modules/wickra-darwin-x64": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-darwin-x64/-/wickra-darwin-x64-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-darwin-x64/-/wickra-darwin-x64-0.7.7.tgz",
      "integrity": "sha512-6hf8zI3QPjTFp4zCpmgUwDvNtu6jHqNUHKD5e55POo0CgA52HkpyxSPtVm8TGTIZDI7kPjlbOdBM8CJ76mmXwA==",
      "cpu": [
        "x64"
@@ -73,8 +73,8 @@
      }
    },
    "node_modules/wickra-linux-arm64-gnu": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-linux-arm64-gnu/-/wickra-linux-arm64-gnu-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-linux-arm64-gnu/-/wickra-linux-arm64-gnu-0.7.7.tgz",
      "integrity": "sha512-kSe6y0xBMSiqdPLXNjwop5WZdHtvdBNKSEBCwZ4hFq33p4apW25/wrlzv9/oDuyD4kuPabJEhCCnFOplh58CUg==",
      "cpu": [
        "arm64"
@@ -89,8 +89,8 @@
      }
    },
    "node_modules/wickra-linux-x64-gnu": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-linux-x64-gnu/-/wickra-linux-x64-gnu-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-linux-x64-gnu/-/wickra-linux-x64-gnu-0.7.7.tgz",
      "integrity": "sha512-tWBWS4qz7hxM4xnpFb59bhf6TaLwXq0Z3jEa/2l7r8PiHA94g8r8S53NRMiT+4yiL5hSWe/nUiC/YXdRrhEZ4g==",
      "cpu": [
        "x64"
@@ -105,8 +105,8 @@
      }
    },
    "node_modules/wickra-win32-arm64-msvc": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-win32-arm64-msvc/-/wickra-win32-arm64-msvc-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-win32-arm64-msvc/-/wickra-win32-arm64-msvc-0.7.7.tgz",
      "integrity": "sha512-EXIckHxAtF75PUGDKRzXyqMe9ldP0JjSdu68WFN6iJfp+McYrGu6h40TEJlQ/oUEIoPqiZB/xhVyo/el5Lg7zw==",
      "cpu": [
        "arm64"
@@ -121,8 +121,8 @@
      }
    },
    "node_modules/wickra-win32-x64-msvc": {
-      "version": "0.7.5",
-      "resolved": "https://registry.npmjs.org/wickra-win32-x64-msvc/-/wickra-win32-x64-msvc-0.7.5.tgz",
+      "version": "0.7.7",
+      "resolved": "https://registry.npmjs.org/wickra-win32-x64-msvc/-/wickra-win32-x64-msvc-0.7.7.tgz",
      "integrity": "sha512-Yfsqq1Xwp6hdxMyLze411vNdo7BDwI6+lPSe7A9XdqyPecNDbtKwYLpsal2r8EHbNzqM+R8XnuRtUaEQS5VlUQ==",
      "cpu": [
        "x64"
@@ -1,6 +1,6 @@
 {
  "name": "wickra",
-  "version": "0.7.5",
+  "version": "0.7.7",
  "description": "Streaming-first technical indicators: incremental, fast, install-free. Node bindings powered by Rust.",
  "author": "kingchenc <support@wickra.org>",
  "main": "index.js",
@@ -47,12 +47,12 @@
    "node": ">= 18"
  },
  "optionalDependencies": {
-    "wickra-linux-x64-gnu": "0.7.5",
-    "wickra-linux-arm64-gnu": "0.7.5",
-    "wickra-darwin-x64": "0.7.5",
-    "wickra-darwin-arm64": "0.7.5",
-    "wickra-win32-x64-msvc": "0.7.5",
-    "wickra-win32-arm64-msvc": "0.7.5"
+    "wickra-linux-x64-gnu": "0.7.7",
+    "wickra-linux-arm64-gnu": "0.7.7",
+    "wickra-darwin-x64": "0.7.7",
+    "wickra-darwin-arm64": "0.7.7",
+    "wickra-win32-x64-msvc": "0.7.7",
+    "wickra-win32-arm64-msvc": "0.7.7"
  },
  "scripts": {
    "build": "napi build --platform --release",
@@ -9,7 +9,7 @@
 system dependencies, no C build tooling.**

 Wickra is a multi-language technical-analysis library with a Rust core and
-bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++ and any
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
 other C-capable language. Every indicator is an O(1)
 streaming state machine, so live trading bots and historical backtests share
 the exact same implementation. This package is the Python binding (PyO3); it
@@ -4,7 +4,7 @@ build-backend = "maturin"

 [project]
 name = "wickra"
-version = "0.7.5"
+version = "0.7.7"
 description = "Streaming-first technical indicators: incremental, fast, install-free."
 readme = "README.md"
 license = "MIT OR Apache-2.0"
@@ -9,7 +9,7 @@
 wickra-wasm` — pure WebAssembly, runs anywhere a modern JS engine does.**

 Wickra is a multi-language technical-analysis library with a Rust core and
-bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++ and any
+bindings for Python, Node.js and WebAssembly, plus a C ABI for C/C++, C#, Go and any
 other C-capable language. Every indicator is an O(1)
 streaming state machine, so live trading dashboards and historical backtests
 share the exact same implementation. This package is the WebAssembly binding
@@ -6,8 +6,11 @@ That includes:

 - **Quickstarts** for [Rust](https://docs.wickra.org/Quickstart-Rust),
  [Python](https://docs.wickra.org/Quickstart-Python),
-  [Node](https://docs.wickra.org/Quickstart-Node), and
-  [WASM](https://docs.wickra.org/Quickstart-WASM).
+  [Node](https://docs.wickra.org/Quickstart-Node),
+  [WASM](https://docs.wickra.org/Quickstart-WASM),
+  [C](https://docs.wickra.org/Quickstart-C),
+  [C#](https://docs.wickra.org/Quickstart-CSharp), and
+  [Go](https://docs.wickra.org/Quickstart-Go).
 - A per-indicator deep dive for every one of the **514 indicators** across
  the sixteen families (Moving Averages, Momentum Oscillators, Trend &
  Directional, Price Oscillators, Volatility & Bands, Bands & Channels,
@@ -48,6 +48,49 @@ three `strategy_*`) build against the bundled datasets and run under `ctest`.
 run in CI; run them by hand. `parallel_assets` links OpenMP when the toolchain
 provides it and falls back to a single-threaded run otherwise.

+## C# / .NET — `examples/csharp/`
+
+Build the C ABI library first (`cargo build -p wickra-c --release`), then run any
+example with the .NET 8 SDK; the binding resolves the native library automatically.
+
+| Example | What it does | Run |
+| --- | --- | --- |
+| `streaming` | Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. | `dotnet run --project examples/csharp/streaming` |
+| `backtest` | Basket of indicators over an OHLCV series (CSV arg or synthetic). | `dotnet run --project examples/csharp/backtest -- <ohlcv.csv>` |
+| `multi_timeframe` | Resample a 1-minute series to 5m / 15m and print an indicator per timeframe. | `dotnet run --project examples/csharp/multi_timeframe` |
+| `parallel_assets` | SMA(20) batch over a panel, serial vs `Parallel.For`, with speedup. | `dotnet run -c Release --project examples/csharp/parallel_assets` |
+| `strategy_rsi_mean_reversion` | RSI(14) mean-reversion with PnL / Sharpe / max-DD summary. | `dotnet run -c Release --project examples/csharp/strategy_rsi_mean_reversion` |
+| `strategy_macd_adx` | Trend-follower: MACD crossover entries gated by ADX(14) > 20. | `dotnet run -c Release --project examples/csharp/strategy_macd_adx` |
+| `strategy_bollinger_squeeze` | Bollinger-squeeze breakout with an ATR(14) trailing stop. | `dotnet run -c Release --project examples/csharp/strategy_bollinger_squeeze` |
+| `fetch_btcusdt` | Download real BTCUSDT klines from the Binance REST API into a CSV. | `dotnet run --project examples/csharp/fetch_btcusdt` |
+| `live_binance` | Stream live Binance klines through EMA(20) over a WebSocket. | `dotnet run --project examples/csharp/live_binance` |
+
+The offline examples run on deterministic synthetic data (and under CI on all
+three OSes); `fetch_btcusdt` and `live_binance` reach the network and are built
+but not run in CI.
+
+## Go — `examples/go/`
+
+Build the C ABI library first (`cargo build -p wickra-c --release`) and stage it
+under `bindings/go/lib/` (see the [Go binding README](../bindings/go)), then run
+any example from the `examples/go` module.
+
+| Example | What it does | Run |
+| --- | --- | --- |
+| `streaming` | Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. | `go run ./streaming` |
+| `backtest` | Basket of indicators over an OHLCV series (CSV arg or synthetic). | `go run ./backtest <ohlcv.csv>` |
+| `multi_timeframe` | Resample a 1-minute series to 5m / 15m and print an indicator per timeframe. | `go run ./multi_timeframe` |
+| `parallel_assets` | SMA(20) batch over a panel, serial vs goroutine fan-out, with speedup. | `go run ./parallel_assets 200 5000` |
+| `strategy_rsi_mean_reversion` | RSI(14) mean-reversion with PnL / Sharpe / max-DD summary. | `go run ./strategy_rsi_mean_reversion` |
+| `strategy_macd_adx` | Trend-follower: MACD crossover entries gated by ADX(14) > 20. | `go run ./strategy_macd_adx` |
+| `strategy_bollinger_squeeze` | Bollinger-squeeze breakout with an ATR(14) trailing stop. | `go run ./strategy_bollinger_squeeze` |
+| `fetch_btcusdt` | Download real BTCUSDT klines from the Binance REST API into a CSV. | `go run ./fetch_btcusdt` |
+| `live_binance` | Stream live Binance klines through EMA(20) over a WebSocket. | `go run ./live_binance` |
+
+The offline examples run on deterministic synthetic data (and under CI on all
+three OSes); `fetch_btcusdt` and `live_binance` reach the network and are built
+but not run in CI.
+
 ## Python — `examples/python/`

 | Example | What it does | Run |
@@ -0,0 +1,7 @@
+# .NET build output
+bin/
+obj/
+*.user
+
+# Data fetched at runtime by fetch_btcusdt
+**/data/
@@ -0,0 +1,19 @@
+<Project>
+
+  <!-- Shared settings + references for every C# example. Each example project
+       only declares <OutputType>Exe</OutputType>. -->
+  <PropertyGroup>
+    <TargetFramework>net8.0</TargetFramework>
+    <LangVersion>latest</LangVersion>
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <IsPackable>false</IsPackable>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\bindings\csharp\Wickra\Wickra.csproj" />
+    <Compile Include="..\_common\MarketData.cs" Link="_common\MarketData.cs" />
+    <Compile Include="..\_common\Backtest.cs" Link="_common\Backtest.cs" />
+  </ItemGroup>
+
+</Project>
@@ -0,0 +1,29 @@
+# Wickra examples — C# / .NET
+
+Runnable .NET examples for the [Wickra .NET binding](../../bindings/csharp).
+Each example is a small console project that references the `Wickra` project and
+resolves the native library automatically (from `target/release` during local
+development, or the NuGet `runtimes/` layout when packaged).
+
+Build the native library first, then run any example:
+
+```bash
+cargo build -p wickra-c --release
+dotnet run --project examples/csharp/streaming
+```
+
+| Example | What it does | Run |
+| --- | --- | --- |
+| `streaming` | Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. | `dotnet run --project examples/csharp/streaming` |
+| `backtest` | Compute a basket of indicators over an OHLCV series and print a summary. | `dotnet run --project examples/csharp/backtest -- <ohlcv.csv>` |
+| `multi_timeframe` | Resample a 1-minute series into 5m / 15m and print an indicator per timeframe. | `dotnet run --project examples/csharp/multi_timeframe` |
+| `parallel_assets` | SMA(20) batch over a panel of assets, serial vs `Parallel.For`, with speedup. | `dotnet run -c Release --project examples/csharp/parallel_assets -- 200 5000` |
+| `strategy_rsi_mean_reversion` | RSI(14) mean-reversion with a PnL / Sharpe / max-DD summary. | `dotnet run -c Release --project examples/csharp/strategy_rsi_mean_reversion` |
+| `strategy_macd_adx` | MACD crossover entries gated by ADX(14) > 20. | `dotnet run -c Release --project examples/csharp/strategy_macd_adx` |
+| `strategy_bollinger_squeeze` | Bollinger-squeeze breakout with an ATR(14) trailing stop. | `dotnet run -c Release --project examples/csharp/strategy_bollinger_squeeze` |
+| `fetch_btcusdt` | Download real BTCUSDT klines from the Binance REST API into a CSV. | `dotnet run --project examples/csharp/fetch_btcusdt` |
+| `live_binance` | Stream live Binance klines through EMA(20) over a WebSocket. | `dotnet run --project examples/csharp/live_binance` |
+
+`fetch_btcusdt` and `live_binance` require network access; the rest run offline
+on deterministic synthetic data. Shared helpers (synthetic data, CSV loader,
+equity summary) live in [`_common/`](_common).
@@ -0,0 +1,45 @@
+namespace Wickra.Examples;
+
+/// <summary>Summary statistics for a long-only equity curve.</summary>
+public sealed record EquityResult(double TotalReturnPct, double Sharpe, double MaxDrawdownPct, int Trades, double FinalEquity);
+
+/// <summary>
+/// Minimal long-only backtest helper: turn a stream of per-bar fractional
+/// returns into a PnL / Sharpe / max-drawdown summary. The strategy examples
+/// produce the returns; this aggregates them.
+/// </summary>
+public static class Backtest
+{
+    /// <param name="periodReturns">Per-bar fractional returns (0.01 == +1%).</param>
+    /// <param name="trades">Number of position entries.</param>
+    /// <param name="periodsPerYear">Annualisation factor for the Sharpe ratio.</param>
+    public static EquityResult Summarize(IReadOnlyList<double> periodReturns, int trades, double periodsPerYear = 252.0)
+    {
+        double equity = 1.0, peak = 1.0, maxDrawdown = 0.0;
+        foreach (var r in periodReturns)
+        {
+            equity *= 1.0 + r;
+            peak = Math.Max(peak, equity);
+            if (peak > 0)
+            {
+                maxDrawdown = Math.Max(maxDrawdown, (peak - equity) / peak);
+            }
+        }
+
+        var mean = periodReturns.Count > 0 ? periodReturns.Average() : 0.0;
+        var variance = periodReturns.Count > 1
+            ? periodReturns.Sum(x => (x - mean) * (x - mean)) / (periodReturns.Count - 1)
+            : 0.0;
+        var stdDev = Math.Sqrt(variance);
+        var sharpe = stdDev > 1e-12 ? mean / stdDev * Math.Sqrt(periodsPerYear) : 0.0;
+
+        return new EquityResult((equity - 1.0) * 100.0, sharpe, maxDrawdown * 100.0, trades, equity);
+    }
+
+    /// <summary>Prints a one-line summary.</summary>
+    public static void Print(string name, EquityResult r)
+    {
+        Console.WriteLine(
+            $"{name,-26} return={r.TotalReturnPct,8:F2}%  sharpe={r.Sharpe,6:F2}  maxDD={r.MaxDrawdownPct,6:F2}%  trades={r.Trades}");
+    }
+}
@@ -0,0 +1,78 @@
+namespace Wickra.Examples;
+
+/// <summary>One OHLCV bar with a millisecond timestamp.</summary>
+public readonly record struct Bar(double Open, double High, double Low, double Close, double Volume, long Timestamp);
+
+/// <summary>
+/// Deterministic synthetic market data plus a small OHLCV CSV loader, shared by
+/// the offline examples so they run without network access.
+/// </summary>
+public static class MarketData
+{
+    /// <summary>A reproducible price path (trend + two cycles), no randomness.</summary>
+    public static double[] SyntheticPrices(int count, double start = 100.0)
+    {
+        var prices = new double[count];
+        for (var i = 0; i < count; i++)
+        {
+            prices[i] = start + 12.0 * Math.Sin(i * 0.05) + 5.0 * Math.Sin(i * 0.013) + i * 0.01;
+        }
+
+        return prices;
+    }
+
+    /// <summary>A reproducible OHLCV series derived from <see cref="SyntheticPrices"/>.</summary>
+    public static Bar[] SyntheticCandles(int count, long startTimestamp = 0, long stepMs = 3_600_000)
+    {
+        var prices = SyntheticPrices(count + 1);
+        var bars = new Bar[count];
+        for (var i = 0; i < count; i++)
+        {
+            var open = prices[i];
+            var close = prices[i + 1];
+            var high = Math.Max(open, close) + 0.5 + Math.Abs(Math.Sin(i * 0.7));
+            var low = Math.Min(open, close) - 0.5 - Math.Abs(Math.Cos(i * 0.7));
+            var volume = 1_000.0 + 500.0 * (1.0 + Math.Sin(i * 0.1));
+            bars[i] = new Bar(open, high, low, close, volume, startTimestamp + i * stepMs);
+        }
+
+        return bars;
+    }
+
+    /// <summary>
+    /// Loads an OHLCV CSV. Accepts rows of <c>timestamp,open,high,low,close,volume</c>
+    /// or <c>open,high,low,close,volume</c>; a non-numeric first row is treated as a header.
+    /// </summary>
+    public static Bar[] LoadOhlcvCsv(string path)
+    {
+        var bars = new List<Bar>();
+        foreach (var rawLine in File.ReadLines(path))
+        {
+            var line = rawLine.Trim();
+            if (line.Length == 0)
+            {
+                continue;
+            }
+
+            var cols = line.Split(',');
+            if (!double.TryParse(cols[0], System.Globalization.CultureInfo.InvariantCulture, out _) &&
+                !long.TryParse(cols[0], out _))
+            {
+                continue; // header row
+            }
+
+            double F(int i) => double.Parse(cols[i], System.Globalization.CultureInfo.InvariantCulture);
+
+            if (cols.Length >= 6)
+            {
+                bars.Add(new Bar(F(1), F(2), F(3), F(4), F(5), long.Parse(cols[0])));
+            }
+            else
+            {
+                bars.Add(new Bar(F(0), F(1), F(2), F(3), F(4), bars.Count));
+            }
+        }
+
+        return bars.ToArray();
+    }
+}
@@ -0,0 +1,33 @@
+using Wickra;
+using Wickra.Examples;
+
+// Compute a basket of indicators over an OHLCV series and print a summary.
+// Pass a CSV path (timestamp,open,high,low,close,volume) or run on synthetic data.
+var source = args.Length > 0 ? args[0] : "synthetic";
+Bar[] bars = args.Length > 0 ? MarketData.LoadOhlcvCsv(args[0]) : MarketData.SyntheticCandles(1000);
+
+Console.WriteLine($"Backtest over {bars.Length} bars ({source}):");
+
+using var sma = new Sma(20);
+using var ema = new Ema(50);
+using var rsi = new Rsi(14);
+using var atr = new Atr(14);
+
+double lastSma = 0, lastEma = 0, lastRsi = 0, lastAtr = 0;
+var oversold = 0;
+foreach (var b in bars)
+{
+    lastSma = sma.Update(b.Close);
+    lastEma = ema.Update(b.Close);
+    lastRsi = rsi.Update(b.Close);
+    lastAtr = atr.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp);
+    if (double.IsFinite(lastRsi) && lastRsi < 30.0)
+    {
+        oversold++;
+    }
+}
+
+Console.WriteLine($"  SMA(20) last = {lastSma:F4}");
+Console.WriteLine($"  EMA(50) last = {lastEma:F4}");
+Console.WriteLine($"  RSI(14) last = {lastRsi:F4}  ({oversold} oversold bars)");
+Console.WriteLine($"  ATR(14) last = {lastAtr:F4}");
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,33 @@
+using System.Globalization;
+using System.Text.Json;
+
+// Download real BTCUSDT hourly klines from the Binance REST API into a CSV that the
+// other examples can consume. Requires network access (build-only in CI).
+const string url = "https://api.binance.com/api/v3/klines?symbol=BTCUSDT&interval=1h&limit=500";
+
+using var http = new HttpClient();
+Console.WriteLine($"Fetching {url}");
+var json = await http.GetStringAsync(url);
+
+using var doc = JsonDocument.Parse(json);
+var dir = Path.Combine(AppContext.BaseDirectory, "data");
+Directory.CreateDirectory(dir);
+var path = Path.Combine(dir, "btcusdt_1h.csv");
+
+using var writer = new StreamWriter(path);
+writer.WriteLine("timestamp,open,high,low,close,volume");
+var count = 0;
+foreach (var kline in doc.RootElement.EnumerateArray())
+{
+    // Binance kline array: [openTime, open, high, low, close, volume, ...]
+    var ts = kline[0].GetInt64();
+    var o = kline[1].GetString();
+    var h = kline[2].GetString();
+    var l = kline[3].GetString();
+    var c = kline[4].GetString();
+    var v = kline[5].GetString();
+    writer.WriteLine(string.Create(CultureInfo.InvariantCulture, $"{ts},{o},{h},{l},{c},{v}"));
+    count++;
+}
+
+Console.WriteLine($"Wrote {count} klines to {path}");
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,40 @@
+using System.Globalization;
+using System.Net.WebSockets;
+using System.Text;
+using System.Text.Json;
+using Wickra;
+
+// Stream live BTCUSDT 1-minute klines from Binance and feed each close through EMA(20).
+// Requires network access (build-only in CI). Runs for up to 60 seconds.
+var uri = new Uri("wss://stream.binance.com:9443/ws/btcusdt@kline_1m");
+Console.WriteLine($"Connecting to {uri} (up to 60s)...");
+
+using var ws = new ClientWebSocket();
+using var cts = new CancellationTokenSource(TimeSpan.FromSeconds(60));
+using var ema = new Ema(20);
+var buffer = new byte[8192];
+
+try
+{
+    await ws.ConnectAsync(uri, cts.Token);
+    while (ws.State == WebSocketState.Open && !cts.IsCancellationRequested)
+    {
+        var result = await ws.ReceiveAsync(buffer, cts.Token);
+        if (result.MessageType == WebSocketMessageType.Close)
+        {
+            break;
+        }
+
+        using var doc = JsonDocument.Parse(Encoding.UTF8.GetString(buffer, 0, result.Count));
+        if (doc.RootElement.TryGetProperty("k", out var k))
+        {
+            var close = double.Parse(k.GetProperty("c").GetString()!, CultureInfo.InvariantCulture);
+            var value = ema.Update(close);
+            Console.WriteLine($"close={close:F2}  EMA(20)={value:F2}");
+        }
+    }
+}
+catch (OperationCanceledException)
+{
+    Console.WriteLine("Done (time limit reached).");
+}
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,44 @@
+using Wickra;
+using Wickra.Examples;
+
+// Resample a 1-minute series into higher timeframes and run an indicator per timeframe.
+var oneMinute = MarketData.SyntheticCandles(1200, startTimestamp: 0, stepMs: 60_000);
+
+Console.WriteLine("EMA(20) of close across timeframes (resampled from 1-minute bars):");
+foreach (var factor in new[] { 1, 5, 15 })
+{
+    var bars = Resample(oneMinute, factor);
+    using var ema = new Ema(20);
+    double last = 0;
+    foreach (var b in bars)
+    {
+        last = ema.Update(b.Close);
+    }
+
+    Console.WriteLine($"  {factor,2}m: {bars.Length,5} bars  EMA(20) last = {last:F4}");
+}
+
+static Bar[] Resample(Bar[] source, int factor)
+{
+    if (factor <= 1)
+    {
+        return source;
+    }
+
+    var output = new List<Bar>();
+    for (var i = 0; i < source.Length; i += factor)
+    {
+        var end = Math.Min(i + factor, source.Length);
+        double high = double.MinValue, low = double.MaxValue, volume = 0;
+        for (var j = i; j < end; j++)
+        {
+            high = Math.Max(high, source[j].High);
+            low = Math.Min(low, source[j].Low);
+            volume += source[j].Volume;
+        }
+
+        output.Add(new Bar(source[i].Open, high, low, source[end - 1].Close, volume, source[i].Timestamp));
+    }
+
+    return output.ToArray();
+}
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,47 @@
+using System.Diagnostics;
+using Wickra;
+using Wickra.Examples;
+
+// Run SMA(20) batch over a panel of assets, serial vs Parallel.For, and report the speedup.
+var assets = args.Length > 0 ? int.Parse(args[0]) : 500;
+var bars = args.Length > 1 ? int.Parse(args[1]) : 20_000;
+
+var panel = new double[assets][];
+for (var a = 0; a < assets; a++)
+{
+    panel[a] = MarketData.SyntheticPrices(bars, start: 50.0 + a * 0.1);
+}
+
+// Warm up the JIT and thread pool so the comparison is fair.
+using (var warm = new Sma(20))
+{
+    warm.Batch(panel[0]);
+}
+
+var sink = 0.0;
+var sw = Stopwatch.StartNew();
+for (var a = 0; a < assets; a++)
+{
+    using var sma = new Sma(20);
+    var result = sma.Batch(panel[a]);
+    sink += result[^1];
+}
+
+sw.Stop();
+var serialMs = sw.Elapsed.TotalMilliseconds;
+
+var lasts = new double[assets];
+sw.Restart();
+Parallel.For(0, assets, a =>
+{
+    using var sma = new Sma(20);
+    var result = sma.Batch(panel[a]);
+    lasts[a] = result[^1];
+});
+sw.Stop();
+var parallelMs = sw.Elapsed.TotalMilliseconds;
+
+Console.WriteLine($"{assets} assets x {bars} bars, SMA(20) batch:");
+Console.WriteLine($"  serial   {serialMs,8:F1} ms");
+Console.WriteLine($"  parallel {parallelMs,8:F1} ms  ({serialMs / Math.Max(parallelMs, 1e-9):F1}x speedup)");
+GC.KeepAlive(sink);
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,46 @@
+using Wickra;
+using Wickra.Examples;
+
+// Breakout: when Bollinger bandwidth is tight (a "squeeze") and price closes above the
+// upper band, go long with an ATR(14) trailing stop.
+var bars = args.Length > 0 ? MarketData.LoadOhlcvCsv(args[0]) : MarketData.SyntheticCandles(2000);
+
+using var bollinger = new BollingerBands(20, 2.0);
+using var atr = new Atr(14);
+
+var returns = new List<double>();
+var trades = 0;
+var inPosition = false;
+var entry = 0.0;
+var stop = 0.0;
+
+foreach (var b in bars)
+{
+    var bands = bollinger.Update(b.Close);
+    var atrValue = atr.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp);
+    if (bands is not { } band || !double.IsFinite(atrValue))
+    {
+        continue;
+    }
+
+    var bandwidth = band.Middle != 0.0 ? (band.Upper - band.Lower) / band.Middle : double.MaxValue;
+
+    if (!inPosition && bandwidth < 0.06 && b.Close > band.Upper)
+    {
+        inPosition = true;
+        entry = b.Close;
+        stop = b.Close - 2.0 * atrValue;
+        trades++;
+    }
+    else if (inPosition)
+    {
+        stop = Math.Max(stop, b.Close - 2.0 * atrValue); // trail the stop up
+        if (b.Close < stop)
+        {
+            returns.Add((b.Close - entry) / entry);
+            inPosition = false;
+        }
+    }
+}
+
+Backtest.Print("Bollinger squeeze", Backtest.Summarize(returns, trades));
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,42 @@
+using Wickra;
+using Wickra.Examples;
+
+// Trend follower: enter long on a MACD histogram cross up, but only when ADX(14) > 20
+// confirms a trend; exit when the histogram crosses back below zero.
+var bars = args.Length > 0 ? MarketData.LoadOhlcvCsv(args[0]) : MarketData.SyntheticCandles(2000);
+
+using var macd = new MacdIndicator(12, 26, 9);
+using var adx = new Adx(14);
+
+var returns = new List<double>();
+var trades = 0;
+var inPosition = false;
+var entry = 0.0;
+var prevHistogram = double.NaN;
+
+foreach (var b in bars)
+{
+    var m = macd.Update(b.Close);
+    var a = adx.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp);
+    if (m is not { } macdValue || a is not { } adxValue)
+    {
+        continue;
+    }
+
+    var trending = adxValue.Adx > 20.0;
+    if (!inPosition && trending && double.IsFinite(prevHistogram) && prevHistogram <= 0.0 && macdValue.Histogram > 0.0)
+    {
+        inPosition = true;
+        entry = b.Close;
+        trades++;
+    }
+    else if (inPosition && macdValue.Histogram < 0.0)
+    {
+        returns.Add((b.Close - entry) / entry);
+        inPosition = false;
+    }
+
+    prevHistogram = macdValue.Histogram;
+}
+
+Backtest.Print("MACD + ADX trend", Backtest.Summarize(returns, trades));
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,34 @@
+using Wickra;
+using Wickra.Examples;
+
+// Mean reversion: go long when RSI(14) drops below 30, exit when it recovers above 50.
+var bars = args.Length > 0 ? MarketData.LoadOhlcvCsv(args[0]) : MarketData.SyntheticCandles(2000);
+
+using var rsi = new Rsi(14);
+var returns = new List<double>();
+var trades = 0;
+var inPosition = false;
+var entry = 0.0;
+
+foreach (var b in bars)
+{
+    var value = rsi.Update(b.Close);
+    if (!double.IsFinite(value))
+    {
+        continue;
+    }
+
+    if (!inPosition && value < 30.0)
+    {
+        inPosition = true;
+        entry = b.Close;
+        trades++;
+    }
+    else if (inPosition && value > 50.0)
+    {
+        returns.Add((b.Close - entry) / entry);
+        inPosition = false;
+    }
+}
+
+Backtest.Print("RSI mean-reversion", Backtest.Summarize(returns, trades));
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,29 @@
+using Wickra;
+using Wickra.Examples;
+
+// Feed a synthetic price series through several indicators tick by tick (O(1) each).
+var prices = MarketData.SyntheticPrices(500);
+
+using var sma = new Sma(20);
+using var ema = new Ema(20);
+using var rsi = new Rsi(14);
+using var macd = new MacdIndicator(12, 26, 9);
+
+double lastSma = 0, lastEma = 0, lastRsi = 0;
+MacdOutput? lastMacd = null;
+foreach (var price in prices)
+{
+    lastSma = sma.Update(price);
+    lastEma = ema.Update(price);
+    lastRsi = rsi.Update(price);
+    lastMacd = macd.Update(price);
+}
+
+Console.WriteLine($"Streamed {prices.Length} prices through SMA(20), EMA(20), RSI(14), MACD(12,26,9):");
+Console.WriteLine($"  SMA  = {lastSma:F4}");
+Console.WriteLine($"  EMA  = {lastEma:F4}");
+Console.WriteLine($"  RSI  = {lastRsi:F4}");
+if (lastMacd is { } m)
+{
+    Console.WriteLine($"  MACD = {m.Macd:F4}  signal={m.Signal:F4}  hist={m.Histogram:F4}");
+}
@@ -0,0 +1,5 @@
+<Project Sdk="Microsoft.NET.Sdk">
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+  </PropertyGroup>
+</Project>
@@ -0,0 +1,14 @@
+# Data fetched at runtime by fetch_btcusdt
+**/data/
+
+# Compiled example binaries
+/streaming/streaming
+/backtest/backtest
+/multi_timeframe/multi_timeframe
+/parallel_assets/parallel_assets
+/strategy_rsi_mean_reversion/strategy_rsi_mean_reversion
+/strategy_macd_adx/strategy_macd_adx
+/strategy_bollinger_squeeze/strategy_bollinger_squeeze
+/fetch_btcusdt/fetch_btcusdt
+/live_binance/live_binance
+*.exe
@@ -0,0 +1,38 @@
+# Wickra examples — Go
+
+Runnable Go examples for the [Wickra Go binding](../../bindings/go). Each example
+is a small `main` program in its own directory; they share the deterministic
+synthetic data, CSV loader, and equity summary in
+[`internal/market`](internal/market).
+
+The binding links against the prebuilt Wickra C ABI library, so build and stage
+it once before running anything:
+
+```bash
+cargo build -p wickra-c --release
+cp target/release/libwickra.so   bindings/go/lib/    # Linux
+cp target/release/libwickra.dylib bindings/go/lib/   # macOS
+cp target/release/wickra.dll     bindings/go/lib/    # Windows (also put it on PATH)
+```
+
+Then run any example from the `examples/go` module:
+
+```bash
+cd examples/go
+go run ./streaming
+```
+
+| Example | What it does | Run |
+| --- | --- | --- |
+| `streaming` | Feed a synthetic price series through SMA / EMA / RSI / MACD tick by tick. | `go run ./streaming` |
+| `backtest` | Compute a basket of indicators over an OHLCV series and print a summary. | `go run ./backtest <ohlcv.csv>` |
+| `multi_timeframe` | Resample a 1-minute series into 5m / 15m and print an indicator per timeframe. | `go run ./multi_timeframe` |
+| `parallel_assets` | SMA(20) batch over a panel of assets, serial vs goroutine fan-out, with speedup. | `go run ./parallel_assets 200 5000` |
+| `strategy_rsi_mean_reversion` | RSI(14) mean-reversion with a PnL / Sharpe / max-DD summary. | `go run ./strategy_rsi_mean_reversion` |
+| `strategy_macd_adx` | MACD crossover entries gated by ADX(14) > 20. | `go run ./strategy_macd_adx` |
+| `strategy_bollinger_squeeze` | Bollinger-squeeze breakout with an ATR(14) trailing stop. | `go run ./strategy_bollinger_squeeze` |
+| `fetch_btcusdt` | Download real BTCUSDT klines from the Binance REST API into a CSV. | `go run ./fetch_btcusdt` |
+| `live_binance` | Stream live Binance klines through EMA(20) over a WebSocket. | `go run ./live_binance` |
+
+`fetch_btcusdt` and `live_binance` require network access; the rest run offline
+on deterministic synthetic data.
@@ -0,0 +1,56 @@
+// Compute a basket of indicators over an OHLCV series and print a summary.
+// Pass a CSV path (timestamp,open,high,low,close,volume) or run on synthetic data.
+package main
+
+import (
+	"fmt"
+	"log"
+	"math"
+	"os"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	source := "synthetic"
+	var bars []market.Bar
+	if len(os.Args) > 1 {
+		source = os.Args[1]
+		loaded, err := market.LoadOhlcvCsv(os.Args[1])
+		if err != nil {
+			log.Fatalf("load csv: %v", err)
+		}
+		bars = loaded
+	} else {
+		bars = market.SyntheticCandles(1000)
+	}
+
+	fmt.Printf("Backtest over %d bars (%s):\n", len(bars), source)
+
+	sma, _ := wickra.NewSma(20)
+	defer sma.Close()
+	ema, _ := wickra.NewEma(50)
+	defer ema.Close()
+	rsi, _ := wickra.NewRsi(14)
+	defer rsi.Close()
+	atr, _ := wickra.NewAtr(14)
+	defer atr.Close()
+
+	var lastSma, lastEma, lastRsi, lastAtr float64
+	oversold := 0
+	for _, b := range bars {
+		lastSma = sma.Update(b.Close)
+		lastEma = ema.Update(b.Close)
+		lastRsi = rsi.Update(b.Close)
+		lastAtr = atr.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp)
+		if !math.IsNaN(lastRsi) && lastRsi < 30.0 {
+			oversold++
+		}
+	}
+
+	fmt.Printf("  SMA(20) last = %.4f\n", lastSma)
+	fmt.Printf("  EMA(50) last = %.4f\n", lastEma)
+	fmt.Printf("  RSI(14) last = %.4f  (%d oversold bars)\n", lastRsi, oversold)
+	fmt.Printf("  ATR(14) last = %.4f\n", lastAtr)
+}
@@ -0,0 +1,58 @@
+// Download real BTCUSDT hourly klines from the Binance REST API into a CSV that the
+// other examples can consume. Requires network access (build-only in CI).
+package main
+
+import (
+	"bufio"
+	"encoding/json"
+	"fmt"
+	"io"
+	"log"
+	"net/http"
+	"os"
+	"path/filepath"
+)
+
+func main() {
+	const url = "https://api.binance.com/api/v3/klines?symbol=BTCUSDT&interval=1h&limit=500"
+	fmt.Printf("Fetching %s\n", url)
+
+	resp, err := http.Get(url)
+	if err != nil {
+		log.Fatalf("request: %v", err)
+	}
+	defer resp.Body.Close()
+	body, err := io.ReadAll(resp.Body)
+	if err != nil {
+		log.Fatalf("read body: %v", err)
+	}
+
+	// Binance kline array: [openTime, open, high, low, close, volume, ...].
+	var klines [][]any
+	if err := json.Unmarshal(body, &klines); err != nil {
+		log.Fatalf("parse json: %v", err)
+	}
+
+	dir := "data"
+	if err := os.MkdirAll(dir, 0o755); err != nil {
+		log.Fatalf("mkdir: %v", err)
+	}
+	path := filepath.Join(dir, "btcusdt_1h.csv")
+	file, err := os.Create(path)
+	if err != nil {
+		log.Fatalf("create: %v", err)
+	}
+	defer file.Close()
+
+	writer := bufio.NewWriter(file)
+	defer writer.Flush()
+	fmt.Fprintln(writer, "timestamp,open,high,low,close,volume")
+	count := 0
+	for _, k := range klines {
+		ts := int64(k[0].(float64))
+		fmt.Fprintf(writer, "%d,%s,%s,%s,%s,%s\n", ts, k[1], k[2], k[3], k[4], k[5])
+		count++
+	}
+
+	fmt.Printf("Wrote %d klines to %s\n", count, path)
+}
@@ -0,0 +1,9 @@
+module github.com/wickra-lib/wickra/examples/go
+
+go 1.23
+
+require github.com/wickra-lib/wickra/bindings/go v0.0.0
+
+require github.com/coder/websocket v1.8.14
+
+replace github.com/wickra-lib/wickra/bindings/go => ../../bindings/go
@@ -0,0 +1,2 @@
+github.com/coder/websocket v1.8.14 h1:9L0p0iKiNOibykf283eHkKUHHrpG7f65OE3BhhO7v9g=
+github.com/coder/websocket v1.8.14/go.mod h1:NX3SzP+inril6yawo5CQXx8+fk145lPDC6pumgx0mVg=
@@ -0,0 +1,156 @@
+// Package market provides deterministic synthetic market data, a small OHLCV
+// CSV loader, and an equity-curve summary shared by the offline Go examples so
+// they run without network access. It mirrors the helpers used by the Python,
+// C, and C# example suites.
+package market
+
+import (
+	"bufio"
+	"fmt"
+	"math"
+	"os"
+	"strconv"
+	"strings"
+)
+
+// Bar is one OHLCV bar with a millisecond timestamp.
+type Bar struct {
+	Open      float64
+	High      float64
+	Low       float64
+	Close     float64
+	Volume    float64
+	Timestamp int64
+}
+
+// SyntheticPrices returns a reproducible price path (trend + two cycles), with
+// no randomness, starting at 100.
+func SyntheticPrices(count int) []float64 {
+	return SyntheticPricesFrom(count, 100.0)
+}
+
+// SyntheticPricesFrom is SyntheticPrices with an explicit starting level.
+func SyntheticPricesFrom(count int, start float64) []float64 {
+	prices := make([]float64, count)
+	for i := range prices {
+		fi := float64(i)
+		prices[i] = start + 12.0*math.Sin(fi*0.05) + 5.0*math.Sin(fi*0.013) + fi*0.01
+	}
+	return prices
+}
+
+// SyntheticCandles returns a reproducible OHLCV series derived from
+// SyntheticPrices, one bar per hour.
+func SyntheticCandles(count int) []Bar {
+	return SyntheticCandlesStep(count, 0, 3_600_000)
+}
+
+// SyntheticCandlesStep is SyntheticCandles with an explicit start timestamp and
+// per-bar step in milliseconds.
+func SyntheticCandlesStep(count int, startTimestamp, stepMs int64) []Bar {
+	prices := SyntheticPrices(count + 1)
+	bars := make([]Bar, count)
+	for i := 0; i < count; i++ {
+		fi := float64(i)
+		op := prices[i]
+		cl := prices[i+1]
+		high := math.Max(op, cl) + 0.5 + math.Abs(math.Sin(fi*0.7))
+		low := math.Min(op, cl) - 0.5 - math.Abs(math.Cos(fi*0.7))
+		volume := 1000.0 + 500.0*(1.0+math.Sin(fi*0.1))
+		bars[i] = Bar{op, high, low, cl, volume, startTimestamp + int64(i)*stepMs}
+	}
+	return bars
+}
+
+// LoadOhlcvCsv loads an OHLCV CSV. It accepts rows of
+// timestamp,open,high,low,close,volume or open,high,low,close,volume; a
+// non-numeric first row is treated as a header and skipped.
+func LoadOhlcvCsv(path string) ([]Bar, error) {
+	file, err := os.Open(path)
+	if err != nil {
+		return nil, err
+	}
+	defer file.Close()
+
+	var bars []Bar
+	scanner := bufio.NewScanner(file)
+	for scanner.Scan() {
+		line := strings.TrimSpace(scanner.Text())
+		if line == "" {
+			continue
+		}
+		cols := strings.Split(line, ",")
+		if _, err := strconv.ParseFloat(cols[0], 64); err != nil {
+			continue // header row
+		}
+		f := func(i int) float64 {
+			v, _ := strconv.ParseFloat(strings.TrimSpace(cols[i]), 64)
+			return v
+		}
+		if len(cols) >= 6 {
+			ts, _ := strconv.ParseInt(strings.TrimSpace(cols[0]), 10, 64)
+			bars = append(bars, Bar{f(1), f(2), f(3), f(4), f(5), ts})
+		} else {
+			bars = append(bars, Bar{f(0), f(1), f(2), f(3), f(4), int64(len(bars))})
+		}
+	}
+	return bars, scanner.Err()
+}
+
+// EquityResult holds summary statistics for a long-only equity curve.
+type EquityResult struct {
+	TotalReturnPct float64
+	Sharpe         float64
+	MaxDrawdownPct float64
+	Trades         int
+	FinalEquity    float64
+}
+
+// Summarize turns a stream of per-bar fractional returns (0.01 == +1%) into a
+// PnL / Sharpe / max-drawdown summary, annualised by periodsPerYear.
+func Summarize(periodReturns []float64, trades int, periodsPerYear float64) EquityResult {
+	equity, peak, maxDrawdown := 1.0, 1.0, 0.0
+	for _, r := range periodReturns {
+		equity *= 1.0 + r
+		peak = math.Max(peak, equity)
+		if peak > 0 {
+			maxDrawdown = math.Max(maxDrawdown, (peak-equity)/peak)
+		}
+	}
+
+	mean := 0.0
+	if len(periodReturns) > 0 {
+		var sum float64
+		for _, r := range periodReturns {
+			sum += r
+		}
+		mean = sum / float64(len(periodReturns))
+	}
+	variance := 0.0
+	if len(periodReturns) > 1 {
+		var ss float64
+		for _, r := range periodReturns {
+			ss += (r - mean) * (r - mean)
+		}
+		variance = ss / float64(len(periodReturns)-1)
+	}
+	stdDev := math.Sqrt(variance)
+	sharpe := 0.0
+	if stdDev > 1e-12 {
+		sharpe = mean / stdDev * math.Sqrt(periodsPerYear)
+	}
+
+	return EquityResult{
+		TotalReturnPct: (equity - 1.0) * 100.0,
+		Sharpe:         sharpe,
+		MaxDrawdownPct: maxDrawdown * 100.0,
+		Trades:         trades,
+		FinalEquity:    equity,
+	}
+}
+
+// Print writes a one-line summary of an equity result.
+func Print(name string, r EquityResult) {
+	fmt.Printf("%-26s return=%8.2f%%  sharpe=%6.2f  maxDD=%6.2f%%  trades=%d\n",
+		name, r.TotalReturnPct, r.Sharpe, r.MaxDrawdownPct, r.Trades)
+}
@@ -0,0 +1,54 @@
+// Stream live BTCUSDT 1-minute klines from Binance and feed each close through EMA(20).
+// Requires network access (build-only in CI). Runs for up to 60 seconds.
+package main
+
+import (
+	"context"
+	"encoding/json"
+	"fmt"
+	"log"
+	"strconv"
+	"time"
+
+	"github.com/coder/websocket"
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+)
+
+func main() {
+	const url = "wss://stream.binance.com:9443/ws/btcusdt@kline_1m"
+	fmt.Printf("Connecting to %s (up to 60s)...\n", url)
+
+	ctx, cancel := context.WithTimeout(context.Background(), 60*time.Second)
+	defer cancel()
+
+	conn, _, err := websocket.Dial(ctx, url, nil)
+	if err != nil {
+		log.Fatalf("dial: %v", err)
+	}
+	defer conn.CloseNow()
+
+	ema, _ := wickra.NewEma(20)
+	defer ema.Close()
+
+	for {
+		_, data, err := conn.Read(ctx)
+		if err != nil {
+			fmt.Println("Done (time limit reached).")
+			return
+		}
+
+		var msg struct {
+			K struct {
+				Close string `json:"c"`
+			} `json:"k"`
+		}
+		if err := json.Unmarshal(data, &msg); err != nil || msg.K.Close == "" {
+			continue
+		}
+		closePx, err := strconv.ParseFloat(msg.K.Close, 64)
+		if err != nil {
+			continue
+		}
+		fmt.Printf("close=%.2f  EMA(20)=%.2f\n", closePx, ema.Update(closePx))
+	}
+}
@@ -0,0 +1,54 @@
+// Resample a 1-minute series into higher timeframes and run an indicator per timeframe.
+package main
+
+import (
+	"fmt"
+	"math"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	oneMinute := market.SyntheticCandlesStep(1200, 0, 60_000)
+
+	fmt.Println("EMA(20) of close across timeframes (resampled from 1-minute bars):")
+	for _, factor := range []int{1, 5, 15} {
+		bars := resample(oneMinute, factor)
+		ema, _ := wickra.NewEma(20)
+		var last float64
+		for _, b := range bars {
+			last = ema.Update(b.Close)
+		}
+		ema.Close()
+		fmt.Printf("  %2dm: %5d bars  EMA(20) last = %.4f\n", factor, len(bars), last)
+	}
+}
+
+func resample(source []market.Bar, factor int) []market.Bar {
+	if factor <= 1 {
+		return source
+	}
+	var out []market.Bar
+	for i := 0; i < len(source); i += factor {
+		end := i + factor
+		if end > len(source) {
+			end = len(source)
+		}
+		high, low, volume := math.Inf(-1), math.Inf(1), 0.0
+		for j := i; j < end; j++ {
+			high = math.Max(high, source[j].High)
+			low = math.Min(low, source[j].Low)
+			volume += source[j].Volume
+		}
+		out = append(out, market.Bar{
+			Open:      source[i].Open,
+			High:      high,
+			Low:       low,
+			Close:     source[end-1].Close,
+			Volume:    volume,
+			Timestamp: source[i].Timestamp,
+		})
+	}
+	return out
+}
@@ -0,0 +1,80 @@
+// Run SMA(20) batch over a panel of assets, serial vs goroutine fan-out, and
+// report the speedup.
+package main
+
+import (
+	"fmt"
+	"os"
+	"runtime"
+	"strconv"
+	"sync"
+	"time"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	assets := argInt(1, 500)
+	bars := argInt(2, 20_000)
+
+	panel := make([][]float64, assets)
+	for a := 0; a < assets; a++ {
+		panel[a] = market.SyntheticPricesFrom(bars, 50.0+float64(a)*0.1)
+	}
+
+	// Warm up so the comparison is fair.
+	if warm, err := wickra.NewSma(20); err == nil {
+		warm.Batch(panel[0])
+		warm.Close()
+	}
+
+	sink := 0.0
+	start := time.Now()
+	for a := 0; a < assets; a++ {
+		sma, _ := wickra.NewSma(20)
+		result := sma.Batch(panel[a])
+		sma.Close()
+		sink += result[len(result)-1]
+	}
+	serial := time.Since(start)
+
+	lasts := make([]float64, assets)
+	start = time.Now()
+	var wg sync.WaitGroup
+	work := make(chan int, assets)
+	for w := 0; w < runtime.GOMAXPROCS(0); w++ {
+		wg.Add(1)
+		go func() {
+			defer wg.Done()
+			for a := range work {
+				sma, _ := wickra.NewSma(20)
+				result := sma.Batch(panel[a])
+				sma.Close()
+				lasts[a] = result[len(result)-1]
+			}
+		}()
+	}
+	for a := 0; a < assets; a++ {
+		work <- a
+	}
+	close(work)
+	wg.Wait()
+	parallel := time.Since(start)
+
+	serialMs := float64(serial.Microseconds()) / 1000.0
+	parallelMs := float64(parallel.Microseconds()) / 1000.0
+	fmt.Printf("%d assets x %d bars, SMA(20) batch:\n", assets, bars)
+	fmt.Printf("  serial   %8.1f ms\n", serialMs)
+	fmt.Printf("  parallel %8.1f ms  (%.1fx speedup)\n", parallelMs, serialMs/max(parallelMs, 1e-9))
+	_ = sink
+}
+
+func argInt(i, def int) int {
+	if len(os.Args) > i {
+		if v, err := strconv.Atoi(os.Args[i]); err == nil {
+			return v
+		}
+	}
+	return def
+}
@@ -0,0 +1,66 @@
+// Breakout: when Bollinger bandwidth is tight (a "squeeze") and price closes above
+// the upper band, go long with an ATR(14) trailing stop.
+package main
+
+import (
+	"log"
+	"math"
+	"os"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	bars := loadBars()
+
+	bollinger, _ := wickra.NewBollingerBands(20, 2.0)
+	defer bollinger.Close()
+	atr, _ := wickra.NewAtr(14)
+	defer atr.Close()
+
+	var returns []float64
+	trades := 0
+	inPosition := false
+	entry := 0.0
+	stop := 0.0
+
+	for _, b := range bars {
+		band, okBand := bollinger.Update(b.Close)
+		atrValue := atr.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp)
+		if !okBand || math.IsNaN(atrValue) {
+			continue
+		}
+
+		bandwidth := math.MaxFloat64
+		if band.Middle != 0.0 {
+			bandwidth = (band.Upper - band.Lower) / band.Middle
+		}
+
+		if !inPosition && bandwidth < 0.06 && b.Close > band.Upper {
+			inPosition = true
+			entry = b.Close
+			stop = b.Close - 2.0*atrValue
+			trades++
+		} else if inPosition {
+			stop = math.Max(stop, b.Close-2.0*atrValue) // trail the stop up
+			if b.Close < stop {
+				returns = append(returns, (b.Close-entry)/entry)
+				inPosition = false
+			}
+		}
+	}
+
+	market.Print("Bollinger squeeze", market.Summarize(returns, trades, 252.0))
+}
+
+func loadBars() []market.Bar {
+	if len(os.Args) > 1 {
+		bars, err := market.LoadOhlcvCsv(os.Args[1])
+		if err != nil {
+			log.Fatalf("load csv: %v", err)
+		}
+		return bars
+	}
+	return market.SyntheticCandles(2000)
+}
@@ -0,0 +1,59 @@
+// Trend follower: enter long on a MACD histogram cross up, but only when ADX(14) > 20
+// confirms a trend; exit when the histogram crosses back below zero.
+package main
+
+import (
+	"log"
+	"math"
+	"os"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	bars := loadBars()
+
+	macd, _ := wickra.NewMacdIndicator(12, 26, 9)
+	defer macd.Close()
+	adx, _ := wickra.NewAdx(14)
+	defer adx.Close()
+
+	var returns []float64
+	trades := 0
+	inPosition := false
+	entry := 0.0
+	prevHistogram := math.NaN()
+
+	for _, b := range bars {
+		m, okMacd := macd.Update(b.Close)
+		a, okAdx := adx.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp)
+		if !okMacd || !okAdx {
+			continue
+		}
+
+		trending := a.Adx > 20.0
+		if !inPosition && trending && !math.IsNaN(prevHistogram) && prevHistogram <= 0.0 && m.Histogram > 0.0 {
+			inPosition = true
+			entry = b.Close
+			trades++
+		} else if inPosition && m.Histogram < 0.0 {
+			returns = append(returns, (b.Close-entry)/entry)
+			inPosition = false
+		}
+		prevHistogram = m.Histogram
+	}
+
+	market.Print("MACD + ADX trend", market.Summarize(returns, trades, 252.0))
+}
+
+func loadBars() []market.Bar {
+	if len(os.Args) > 1 {
+		bars, err := market.LoadOhlcvCsv(os.Args[1])
+		if err != nil {
+			log.Fatalf("load csv: %v", err)
+		}
+		return bars
+	}
+	return market.SyntheticCandles(2000)
+}
@@ -0,0 +1,51 @@
+// Mean reversion: go long when RSI(14) drops below 30, exit when it recovers above 50.
+package main
+
+import (
+	"log"
+	"math"
+	"os"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	bars := loadBars()
+
+	rsi, _ := wickra.NewRsi(14)
+	defer rsi.Close()
+
+	var returns []float64
+	trades := 0
+	inPosition := false
+	entry := 0.0
+
+	for _, b := range bars {
+		value := rsi.Update(b.Close)
+		if math.IsNaN(value) {
+			continue
+		}
+		if !inPosition && value < 30.0 {
+			inPosition = true
+			entry = b.Close
+			trades++
+		} else if inPosition && value > 50.0 {
+			returns = append(returns, (b.Close-entry)/entry)
+			inPosition = false
+		}
+	}
+
+	market.Print("RSI mean-reversion", market.Summarize(returns, trades, 252.0))
+}
+
+func loadBars() []market.Bar {
+	if len(os.Args) > 1 {
+		bars, err := market.LoadOhlcvCsv(os.Args[1])
+		if err != nil {
+			log.Fatalf("load csv: %v", err)
+		}
+		return bars
+	}
+	return market.SyntheticCandles(2000)
+}
@@ -0,0 +1,40 @@
+// Feed a synthetic price series through several indicators tick by tick (O(1) each).
+package main
+
+import (
+	"fmt"
+
+	wickra "github.com/wickra-lib/wickra/bindings/go"
+	"github.com/wickra-lib/wickra/examples/go/internal/market"
+)
+
+func main() {
+	prices := market.SyntheticPrices(500)
+
+	sma, _ := wickra.NewSma(20)
+	defer sma.Close()
+	ema, _ := wickra.NewEma(20)
+	defer ema.Close()
+	rsi, _ := wickra.NewRsi(14)
+	defer rsi.Close()
+	macd, _ := wickra.NewMacdIndicator(12, 26, 9)
+	defer macd.Close()
+
+	var lastSma, lastEma, lastRsi float64
+	var lastMacd wickra.MacdOutput
+	var haveMacd bool
+	for _, price := range prices {
+		lastSma = sma.Update(price)
+		lastEma = ema.Update(price)
+		lastRsi = rsi.Update(price)
+		lastMacd, haveMacd = macd.Update(price)
+	}
+
+	fmt.Printf("Streamed %d prices through SMA(20), EMA(20), RSI(14), MACD(12,26,9):\n", len(prices))
+	fmt.Printf("  SMA  = %.4f\n", lastSma)
+	fmt.Printf("  EMA  = %.4f\n", lastEma)
+	fmt.Printf("  RSI  = %.4f\n", lastRsi)
+	if haveMacd {
+		fmt.Printf("  MACD = %.4f  signal=%.4f  hist=%.4f\n", lastMacd.Macd, lastMacd.Signal, lastMacd.Histogram)
+	}
+}
@@ -17,7 +17,7 @@
    },
    "../../bindings/node": {
      "name": "wickra",
-      "version": "0.7.5",
+      "version": "0.7.7",
      "license": "MIT OR Apache-2.0",
      "devDependencies": {
        "@napi-rs/cli": "^2.18.0"
@@ -26,12 +26,12 @@
        "node": ">= 18"
      },
      "optionalDependencies": {
-        "wickra-darwin-arm64": "0.7.5",
-        "wickra-darwin-x64": "0.7.5",
-        "wickra-linux-arm64-gnu": "0.7.5",
-        "wickra-linux-x64-gnu": "0.7.5",
-        "wickra-win32-arm64-msvc": "0.7.5",
-        "wickra-win32-x64-msvc": "0.7.5"
+        "wickra-darwin-arm64": "0.7.7",
+        "wickra-darwin-x64": "0.7.7",
+        "wickra-linux-arm64-gnu": "0.7.7",
+        "wickra-linux-x64-gnu": "0.7.7",
+        "wickra-win32-arm64-msvc": "0.7.7",
+        "wickra-win32-x64-msvc": "0.7.7"
      }
    },
    "node_modules/wickra": {
@@ -61,4 +61,4 @@ indicators tracks those.
 - [Quickstart: WASM](https://docs.wickra.org/Quickstart-WASM) — module-load
  flow, `wasm-pack` targets, and the streaming API.
 - [examples/README.md](../README.md) — cross-language index, including
-  the Rust, Python and Node siblings of every demo above.
+  the Rust, Python, Node, C and C# siblings of every demo above.
@@ -34,7 +34,6 @@ ci_workflow  = "ci.yml"
 # resurfaces in source, the audit workflow fails.
 forbidden = [
    "kingchenc/wickra",
-    "kingchencp@gmail.com",
 ]

 # Paths that are exempt from the forbidden-substring scan. Historical
Author	SHA1	Message	Date
kingchenc	d0061c73b8	release: bump 0.7.6 -> 0.7.7 (#229 ) Bumps the workspace to 0.7.7 to ship the Go binding.	2026-06-09 17:35:25 +02:00
kingchenc	23d636fd97	Add the Go binding over the C ABI hub (#228 ) Adds a Go binding (`bindings/go`) over the C ABI hub — the second language stecker after C#. ## What's here - `bindings/go` — a cgo binding exposing all 514 indicators as idiomatic Go types with `New<Indicator>` constructors and `Update`/`Batch`/`Reset`/`Close` methods. The wrappers in `indicators_gen.go` are generated from `bindings/c/include/wickra.h` (same archetype taxonomy as the C# generator: scalar/batch, multi-output, bars, profile, profile-values, array-input). Opaque handles are freed by `Close()` with a `runtime.SetFinalizer` backstop; pointer arguments are caller-owned, panics never cross the boundary. - `examples/go` — the full example suite mirroring C/C#: streaming, backtest, multi_timeframe, parallel_assets (goroutine fan-out), three strategies, and `fetch_btcusdt`/`live_binance`. - CI — a `go` job builds the C ABI library, stages it, and runs `gofmt`/`go vet`/`go test` plus the offline examples on Linux, macOS and Windows. - Docs — Go added to the README languages table, project layout, building/testing, CONTRIBUTING binding table + regenerate note, ARCHITECTURE, examples index, issue/PR templates, the About-description template, and the other binding READMEs. ## Linking / distribution The binding links the prebuilt C ABI library via cgo (`libwickra.so`/`.dylib`/`wickra.dll` staged under `bindings/go/lib`, gitignored). The native libraries are already shipped per target triple by the existing `c-abi-build` release job; distribution is via the subdirectory module tag `bindings/go/vX.Y.Z` (gated), so `release.yml` needs no new publish job. No Rust crate or `Cargo.toml` change — the Go module is standalone and additive. Not for merge yet (gated, per request).	2026-06-09 17:33:37 +02:00
kingchenc	fce26cf881	release: bump 0.7.5 -> 0.7.6 (#227 ) Bumps the workspace to 0.7.6 to ship the C# (.NET) binding to NuGet.	2026-06-09 14:34:18 +02:00
kingchenc	91f6f67257	Add C# (.NET) binding over the C ABI hub (#226 ) The first language stecker on the C ABI hub: a .NET binding exposing all 514 indicators as idiomatic `IDisposable` classes, generated from `wickra.h`. ## What's here - `bindings/csharp/` — the `Wickra` .NET 8 package. `[LibraryImport]` source-generated P/Invoke (`NativeMethods.g.cs`) plus idiomatic wrappers (`Indicators.g.cs`), both generated from the committed `bindings/c/include/wickra.h`. The binding owns no indicator maths — it only marshals types across the C ABI. - Marshalling, verified end-to-end against the native library. Opaque handles cross as `nint` kept alive per call via a `SafeHandle`; `bool` as `[MarshalAs(U1)]` (Rust `bool` is one byte); a self-correcting `DllImportResolver` validates the loaded library actually exports the Wickra ABI. Tests cover one representative per FFI archetype (scalar, candle, pairwise, multi-output, bars, profile, values-profile, order-book / array-input) plus exact Sma reference values. - NuGet packaging — `dotnet pack` produces `Wickra.<version>.nupkg`; the release pipeline stages prebuilt native libraries under `runtimes/<rid>/native/` for six target triples (win/linux/osx × x64/arm64). - `examples/csharp/` — nine examples mirroring `examples/c/`: streaming, backtest, multi_timeframe, parallel_assets, three strategies, and fetch_btcusdt + live_binance. - CI — a `csharp` job on the three OSes builds the C ABI, tests the binding, and runs the offline examples. Release — a gated `csharp-publish` job packs and pushes to NuGet (gated on `NUGET_API_KEY`, independent of the GitHub-release job so a C# hiccup never blocks the C/C++ asset release). - Docs consistency wave — README, CONTRIBUTING, CHANGELOG, examples/README, the issue / PR templates, `sync-about.yml`, and `.gitattributes`. The native Python / Node / WASM bindings and the C ABI are untouched; this is additive. Publishing to NuGet stays gated behind the release tag and the secret.	2026-06-09 14:32:05 +02:00