Haozhe Wu
cc54832cb5
Rolls up 551 commits / 162 merged pull requests since 0.1.14, from 35 contributors. Served price frames now stamp the adjustment caliber they carry, and a source whose caliber was never measured against a live payload reports `unknown` rather than guessing one. The Alpha Zoo's NaN contract moved out of the individual alphas and into the registry: an alpha branching on an `np.where` comparison never sees a NaN, so blanking every declared input on one bar left 84 of 462 alphas returning a number anyway, each consumed as a real signal because `dropna()` is what keeps a gap out of an IC. The same sweep afterwards finds none. The futures loader chain was the last instance of that class and closes in this release. New markets and surfaces: UK equities (LSE .L/.IL, SDRT modelled as a purchase-side-only duty), Zerodha Kite Connect as the fourteenth broker (paper plus read-only, since Kite exposes no runtime live discriminator), a read-only multi-broker portfolio across Web / REST / CLI / agent tool, fifteen Quant Library additions, Brazilian Portuguese as the eighth locale, read-only Nobitex and Wallex, and an offline evals harness that emits NOT_EVALUABLE rather than passing when instrumentation is absent. `test_release_version_consistency.py` caught a fourteenth declaration site the eleven it was written for did not cover: the `app.version` mock in `frontend/src/components/layout/__tests__/Layout.test.tsx`. The comment in `test_cli_update.py` that named the current version is de-versioned here — a version in a comment has no guard and goes stale at the next bump. Reader-facing counts were re-measured rather than incremented: 74 MCP tools, 107 registry tools, 10 engines, 90 skills, 462 alphas, 27 data sources, 30 swarm presets, 14 broker connectors. None had drifted.
309 lines
8.9 KiB
TOML
309 lines
8.9 KiB
TOML
[project]
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name = "vibe-trading-ai"
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version = "0.1.15"
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description = "Natural-language finance research AI agent with backtesting"
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requires-python = ">=3.11"
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license = "MIT"
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readme = "README.md"
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authors = [
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{name = "HKUDS", email = "hkuds@connect.hku.hk"},
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]
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keywords = ["finance", "trading", "backtesting", "agent", "swarm", "quantitative"]
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Financial and Insurance Industry",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Office/Business :: Financial :: Investment",
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]
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dependencies = [
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"rich>=13.0.0",
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"pyyaml>=6.0.0",
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"langchain>=1.3.9,<2",
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"langchain-core>=1.0.0,<2",
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"langchain-openai>=1.0.0,<2",
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"langgraph>=1.2.5,<1.3",
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"langgraph-checkpoint>=2.1.0,<5",
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"python-dotenv>=1.0.0",
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"httpx>=0.28.0",
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"h2>=4.4.1",
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"defusedxml>=0.7.1",
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"oauth-cli-kit>=0.1.3",
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"pandas>=2.0.0,<3.0.0",
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"openpyxl>=3.1.0",
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"python-docx>=1.1.0",
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"python-pptx>=0.6.23",
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"pypdfium2>=4.0.0",
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"Pillow>=12.2.0",
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"numpy>=1.24.0",
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"scipy>=1.10.0",
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"bottleneck>=1.3.7",
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"duckdb>=1.2.0",
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"scikit-learn>=1.3.0",
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"joblib>=1.3.0",
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"tushare>=1.2.89",
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"requests>=2.31.0",
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"yfinance>=0.2.30",
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"akshare>=1.12.0",
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"ccxt>=4.5.71",
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"aiohttp>=3.14.3",
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"cryptography>=50.0.0",
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"fastapi>=0.104.0",
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"uvicorn[standard]>=0.24.0",
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"websockets>=12.0",
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"pydantic>=2.0.0",
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"python-multipart>=0.0.18",
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"sse-starlette>=1.6.0",
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# 4.0.0 changed MCPError's constructor (message is now separate) and the
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# session snapshot shape; tests construct it the 2.x way. Cap until the
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# adaptation lands.
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"fastmcp>=2.14.0,<4.0.0",
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# mcp 1.30.0 enforces RFC 8414 section 3.3 strictly: the `issuer` in an
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# authorization server's metadata must equal the issuer used to build the
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# well-known URL. IBKR's official MCP server advertises the authorization
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# server https://api.ibkr.com/oauth2 while its metadata (verified live on
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# 2026-09-08 at both well-known paths) says `"issuer": "https://api.ibkr.com"`,
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# so discovery raises OAuthFlowError and the IBKR OAuth connection cannot be
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# established at all. The cap is on the real broker path, not on the test
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# that caught it — pulled in transitively through fastmcp.
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"mcp<1.30",
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"ddgs>=6.0.0",
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"jinja2>=3.1.0",
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"matplotlib>=3.7.0",
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"weasyprint>=60.0",
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"prompt_toolkit>=3.0.0",
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]
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[project.urls]
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Homepage = "https://vibetrading.wiki/"
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Documentation = "https://vibetrading.wiki/docs/"
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Repository = "https://github.com/HKUDS/Vibe-Trading"
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Issues = "https://github.com/HKUDS/Vibe-Trading/issues"
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[project.scripts]
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vibe-trading = "cli:main"
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vibe-trading-mcp = "mcp_server:main"
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[tool.setuptools]
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package-dir = {"" = "agent"}
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py-modules = ["api_server", "mcp_server"]
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[tool.setuptools.packages.find]
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where = ["agent"]
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include = ["src*", "backtest*", "cli*", "evals*"]
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[tool.setuptools.package-data]
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"src" = [
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"skills/**/*.md",
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"skills/**/*.yaml",
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"skills/**/*.json",
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"skills/**/*.py",
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"providers/*.json",
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"scheduled_research/playbooks/*.md",
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"swarm/presets/*.yaml",
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"shadow_account/templates/*.j2",
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"shadow_account/templates/*.html",
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"shadow_account/templates/*.css",
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]
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"evals.harness" = ["README.md", "cases/**/*.json"]
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"backtest" = ["*.py"]
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"src.factors" = ["zoo/**/*.yaml", "zoo/**/*.md", "zoo/**/NOTICE"]
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[project.optional-dependencies]
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ibkr = [
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"ib_async>=2.0",
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]
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longbridge = [
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"longbridge>=0.2.5",
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]
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mt5 = [
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# Official Windows-only bridge to a locally running MetaTrader 5 terminal
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# (broker connector + mt5 data loader). Lazy-imported; on other platforms
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# the marker makes this a no-op and everything degrades gracefully.
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"MetaTrader5>=5.0.45; sys_platform == 'win32'",
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]
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zerodha = [
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# Zerodha Kite Connect (India NSE/BSE) broker connector + india_broker
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# loader backend. Lazy-imported with a named error; zerodha_available()
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# stays False (loader falls through to Shoonya/Dhan) until installed.
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"kiteconnect>=4.0.0",
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]
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deepseek = [
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"langchain-deepseek>=1.0.0,<2",
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]
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copilot = [
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# Official GitHub Copilot SDK (provider="copilot"). Optional: every import
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# of it in copilot_auth.py is already lazy and raises an actionable install
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# hint when absent, so the base install stays lean — and the Windows desktop
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# build's embedded runtime does not have to carry it.
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"github-copilot-sdk>=1.0.8,<2",
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]
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anthropic = [
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# Native Anthropic Messages API adapter (provider="anthropic"). Optional:
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# _build_anthropic lazy-imports it and raises an actionable install hint
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# when absent, so the base install stays lean for users who don't use it.
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"langchain-anthropic>=1.3.0,<2",
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]
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openbb = [
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# OpenBB Workspace custom-agent bridge (src/openbb_bridge): protocol models
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# + SSE helpers. api_server.py registers /agents.json and /v1/query only
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# when this import succeeds, so a base install stays unaffected.
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"openbb-ai>=2.0.0,<3",
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]
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krx = [
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# Free, no-auth Korea (KRX: KOSPI/KOSDAQ) EOD OHLCV. Without this extra
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# the kr_equity chain falls back to yahoo/yfinance (.KS/.KQ suffixes).
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"pykrx>=1.0.45",
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]
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stats = [
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# Econometrics behind src/quantlib/timeseries: stationarity (ADF),
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# cointegration, Granger causality, Ljung-Box, VIF and GARCH. Those
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# functions lazy-import and raise an actionable ImportError naming this
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# extra, so the base install stays lean and nothing silently degrades.
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"statsmodels>=0.14",
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"arch>=6.0",
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]
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ashare = [
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# Free, no-auth A-share source over BaoStock's TCP protocol; bypasses the
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# HTTP CDN IP blocks that affect eastmoney-backed sources. The Tencent
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# A-share loader needs no extra dependency (stdlib HTTP only).
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"baostock>=0.8.8",
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]
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harmonic = [
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"pyharmonics>=1.5.0",
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]
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smc = [
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# Smart Money Concepts (ICT) signal engine — used by exactly one skill
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# example, src/skills/smc/example_signal_engine.py, whose SKILL.md already
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# tells the reader to install it. It is an extra rather than a base
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# dependency because it drags in numba -> llvmlite, and llvmlite ships no
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# macOS x86_64 wheel from 0.46 on: as a base dependency it turned every
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# Intel-Mac install into a source build that needs cmake (discussion #1035).
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"smartmoneyconcepts>=0.0.27",
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]
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keyring = [
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# OS credential vault (Keychain / Credential Manager / Secret Service) for
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# user-installed local read-only connector plugins. CredentialStore imports
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# it lazily and raises an actionable hint naming this extra, so a base
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# install stays lean for users who configure no local connector.
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"keyring>=25.0.0",
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]
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dingtalk = [
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"dingtalk-stream>=0.24.0",
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]
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discord = [
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"discord.py>=2.4.0",
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]
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feishu = [
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"lark-oapi>=1.4.0",
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"qrcode>=7.4.2",
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]
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matrix = [
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"aiohttp>=3.14.3",
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"matrix-nio[e2e]>=0.25.0",
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"mistune>=3.0.0",
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"nh3>=0.2.18",
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]
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mochat = [
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"msgpack>=1.0.0",
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"python-socketio[asyncio_client]>=5.11.0",
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]
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msteams = [
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"cryptography>=50.0.0",
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"PyJWT[crypto]>=2.8.0",
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]
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napcat = [
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"aiohttp>=3.14.3",
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"websockets>=12.0",
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]
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qq = [
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"aiohttp>=3.14.3",
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"qq-botpy>=1.2.0",
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]
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slack = [
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"slack-sdk>=3.33.0",
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"slackify-markdown>=0.2.4,<1",
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]
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telegram = [
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"python-telegram-bot>=21.0",
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]
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wecom = [
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"wecom-aibot-sdk>=1.0.0",
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]
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weixin = [
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"qrcode>=7.4.2",
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]
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whatsapp = [
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"neonize>=0.3.18.post0",
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]
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channels = [
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"aiohttp>=3.14.3",
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"cryptography>=50.0.0",
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"dingtalk-stream>=0.24.0",
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"discord.py>=2.4.0",
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"lark-oapi>=1.4.0",
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"matrix-nio[e2e]>=0.25.0",
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"mistune>=3.0.0",
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"msgpack>=1.0.0",
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"neonize>=0.3.18.post0",
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"nh3>=0.2.18",
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"PyJWT[crypto]>=2.8.0",
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"python-socketio[asyncio_client]>=5.11.0",
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"python-telegram-bot>=21.0",
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"qrcode>=7.4.2",
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"qq-botpy>=1.2.0",
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"slack-sdk>=3.33.0",
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"slackify-markdown>=0.2.4,<1",
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"websockets>=12.0",
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"wecom-aibot-sdk>=1.0.0",
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]
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dev = [
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"black>=24.0,<27",
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"pytest>=7.0",
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"pytest-cov>=4.0",
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"pytest-socket>=0.7.0",
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"ruff>=0.9,<1",
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]
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[tool.pytest.ini_options]
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testpaths = ["agent/tests"]
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pythonpath = ["agent"]
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markers = [
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"unit: Unit tests (fast, no network)",
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"integration: Integration tests (may need network)",
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]
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[tool.ruff]
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target-version = "py311"
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line-length = 120
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src = ["agent"]
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[tool.coverage.run]
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source = ["agent"]
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omit = [
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"agent/tests/*",
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"agent/tests/**/*",
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"agent/**/__init__.py",
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]
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[tool.coverage.report]
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show_missing = true
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skip_empty = true
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fail_under = 0
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exclude_also = [
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"if __name__ == .__main__.",
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"raise NotImplementedError",
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"\\.\\.\\.",
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]
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[tool.ruff.lint]
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select = ["E", "F", "W"]
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ignore = ["E501"]
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[tool.ruff.lint.per-file-ignores]
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# Alpha zoo files import the full src.factors.base surface verbatim
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# to match research-paper formulas. F401 (unused-import) is noise here;
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# F841 (unused-local-variable) stays active to catch real formula bugs.
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"agent/src/factors/zoo/**/*.py" = ["F401"]
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