# Vibe Trading > Backtests quantitative trading strategies across 9 engines and 25 data sources, analyzes trade journals, and runs multi-agent research teams. - Skill: `gabrielmoreira/vibe-trading` (Agent Skill) - Install (CLI): `npx skillmds add gabrielmoreira/vibe-trading` - Raw SKILL.md: https://api.skillmd.com/api/skills/gabrielmoreira/vibe-trading/raw - Safety review: CAUTION (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: Finance & Business, AI & ML, Data & Analytics, Agent Building, Data Analysis, Trading & Investing - Tags: Alpha Zoo, Backtesting, Factor Analysis, Multi Agent, Options Pricing, Quantitative Finance, Shadow Account, Trade Journal - Author: gabrielmoreira (https://skillmd.com/u/gabrielmoreira) - Updated: 2026-08-22 - Page: https://skillmd.com/skills/gabrielmoreira/vibe-trading --- # Vibe-Trading Professional finance research toolkit with AI-powered backtesting (9 engines), multi-agent teams, 89 specialized skills, the **Alpha Zoo** (462 pre-built quantitative alphas across qlib158 / alpha101 / gtja191 / academic / fundamental with one-line CLI benchmarking), and the Shadow Account loop — extract your implicit trading rules from a journal, backtest them across A股/港股/美股/crypto, then see where they would have served you better. ## Setup ```bash pip install vibe-trading-ai ``` > **Package name vs commands:** The PyPI package is `vibe-trading-ai`. Once installed, you get: > > | Command | Purpose | > |---------|---------| > | `vibe-trading` | Interactive CLI / TUI | > | `vibe-trading serve` | Launch FastAPI web server | > | `vibe-trading-mcp` | Start MCP server (for Claude Desktop, OpenClaw, Cursor, etc.) | Add to your agent's MCP config: ```json { "mcpServers": { "vibe-trading": { "command": "vibe-trading-mcp" } } } ``` ### API Key Requirements Core research MCP tools work with zero API keys for HK/US/Canada/crypto. After `pip install`, backtesting, market data, factor analysis, options pricing, chart patterns, web search, document reading, trade journal analysis, shadow-account extraction/backtest/report, the Alpha Zoo (462 pre-built alphas), and all 89 skills are ready to use. IBKR tools require a local TWS / IB Gateway session; `run_swarm` requires an LLM key. | Feature | Key needed | When | |---------|-----------|------| | HK/US/Canada equities & crypto | None | Always free (yfinance / stooq / yahoo + OKX) | | China A-share data | None | Free via akshare / baostock / tencent / sina / eastmoney / mootdx fallback (`TUSHARE_TOKEN` optional for premium quality) | | Premium US fundamentals/quotes | `FINNHUB_API_KEY` / `ALPHAVANTAGE_API_KEY` / `TIINGO_API_KEY` / `FMP_API_KEY` | Only for optional-key providers (graceful fallback to free sources) | | Multi-agent swarm (`run_swarm`) | `OPENAI_API_KEY` + `LANGCHAIN_MODEL_NAME` | Swarm spawns internal LLM workers | ## What You Can Do ### Shadow Account — flagship loop Feed a CSV broker export (同花顺 / 东财 / 富途 / generic), and the agent will: 1. `analyze_trade_journal` — profile your behavior (holding period, win rate, disposition effect, chasing, overtrading, anchoring). 2. `extract_shadow_strategy` — distill 3-5 if-then rules that describe your profitable roundtrips. 3. `run_shadow_backtest` — backtest those rules across A/HK/US/crypto and compute delta-PnL vs your realized trades. 4. `render_shadow_report` — produce an HTML/PDF report (8 sections + charts) with today's matching signals. 5. `scan_shadow_signals` — list today's symbols that match your shadow's entry cadence (research only). ### Backtesting Create and run quantitative strategies across 9 engines (ChinaA, GlobalEquity, IndiaEquity, KoreaEquity, Crypto, ChinaFutures, GlobalFutures, Forex + options) with 25 market-data sources (auto-detect + ordered fallback; the hosted forex `tickerall` source is explicit-only): - **HK/US equities** via yfinance / stooq / yahoo (free, no API key); optionally via **Longbridge** historical OHLCV (`longbridge`, requires the optional SDK and `LONGBRIDGE_APP_KEY` / `LONGBRIDGE_APP_SECRET` / `LONGBRIDGE_ACCESS_TOKEN`). To force it for a run, set `"source": "longbridge"` in `config.json`. - **Canada equities (TSX/TSXV)** via yahoo / yfinance using Yahoo's canonical `.TO` (TSX, e.g. `TD.TO`) or `.V` (TSXV, e.g. `PNG.V`) suffixes — free, no API key. The GlobalEquity engine uses CAD identity, whole-share orders, configurable Canadian commission/slippage, and the TSX/TSXV price-increment grid. - **India equities (NSE/BSE)** via yahoo / yfinance using `.NS` (NSE, e.g. `RELIANCE.NS`) or `.BO` (BSE, e.g. `500325.BO`) — free, no API key. The `IndiaEquityEngine` models T+1 delivery, no overnight shorts (set `allow_short` for intraday), configurable circuit bands, 1-share lots, and the STT/stamp-duty/exchange/GST cost stack. Optionally back-fill from your live broker via the `india_broker` source (Shoonya/Dhan; requires broker login). - **Korea equities (KRX: KOSPI/KOSDAQ)** via pykrx using `.KS` (KOSPI, e.g. `005930.KS`) or `.KQ` (KOSDAQ, e.g. `247540.KQ`) — free, no API key (`pip install "vibe-trading-ai[krx]"`; yahoo/yfinance fallback needs no extra). pykrx serves **daily bars only** (an intraday request falls through to another source) and its adjusted series is Naver-backed rather than a verbatim KRX print. The `KoreaEquityEngine` models same-day round trips (no T+1), the ±30% daily price limit measured from the previous close and quantized to the KRX tick grid, tick-rounded fills, the 0.20% sell-side transaction tax (2026 rate), and 1-share lots. It is **long-only**: `allow_short` is refused, because KRX covered-short and uptick rules cannot be enforced on daily bars. - **Cryptocurrency** via OKX or CCXT/100+ exchanges (free, no API key) - **China A-shares** via AKShare / baostock / tencent / sina / eastmoney / mootdx (free, no API key) — `TUSHARE_TOKEN` optional for premium quality - **Futures, forex, macro** via AKShare (free, no API key) - **Forex / metals with no local terminal** via the hosted **TickerAll** MetaTrader 5 feed (`source="tickerall"`, `TICKERALL_API_KEY` + `TICKERALL_ACCOUNT_ID`, read-only) — the same broker feed as the `mt5` loader but over a hosted API on any OS. **Explicit-only** (never an automatic fallback). - **HK & A-share equities** via Futu (broker login required, optional) - **Local CSV/parquet bars** via the `local` loader (offline, no network) - **Premium cross-market data** via QVeris (optional API key) - **Premium US data** via optional-key finnhub / alphavantage / tiingo / fmp (graceful fallback to free sources) Factors: the Alpha101 and QLib158 zoos are tagged for the `equity_in` and `equity_kr` universes, so they compute on NSE/BSE and KRX bars (the GTJA191 zoo stays China-only). Live/paper India trading uses the Shoonya / Dhan connectors (paper + read-only live; live order placement is structurally disabled because those brokers expose no paper/live switch). Example workflow: 1. Use `list_skills()` to discover strategy patterns 2. Use `load_skill("strategy-generate")` for the strategy creation guide 3. Use `write_file()` to create `config.json` and `code/signal_engine.py` 4. Use `backtest()` to run and get metrics (Sharpe, return, drawdown, etc.) ### Multi-Agent Swarm Teams 30 pre-built agent teams for complex research: - **Investment Committee**: bull/bear debate → risk review → PM decision - **Global Equities Desk**: A-share + HK/US + crypto → global strategist - **Crypto Trading Desk**: funding/basis + liquidation + flow → risk manager - **Earnings Research Desk**: fundamentals + revisions + options → earnings strategist - **Macro/Rates/FX Desk**: rates + FX + commodities → macro PM - **Quant Strategy Desk**: screening → factor research → backtest → risk audit - **Risk Committee**: drawdown, tail risk, regime analysis - And 23 more specialized teams Use `list_swarm_presets()` to see all teams, then `run_swarm()` to execute. ### Alpha Zoo (462 pre-built alphas) One-line cross-sectional IC / IR / alive-reversed-dead categorisation across five bundled zoos: - **qlib158** (154 alphas) — Microsoft Qlib's `Alpha158` feature handler, Apache-2.0 with pinned commit SHA. - **alpha101** (101 alphas) — Kakushadze (2015) "101 Formulaic Alphas" (arXiv:1601.00991), written from the paper appendix. - **gtja191** (191 alphas) — Guotai Junan 2014 "191 Short-period Trading Alpha Factors" research report. - **academic** (12 factors) — Fama-French 5 + Carhart momentum + Jegadeesh reversal + George-Hwang 52-week-high + Amihud illiquidity + Harvey-Siddique skew + Frazzini-Pedersen betting-against-beta (price-based proxies) + a correlation-rewiring stability score (from the in-repo correlation-regime skill). - **fundamental** (4 factors) — PIT-safe earnings yield, ROE, gross profitability, and asset growth from daily fundamental panels. Each alpha ships with `__alpha_meta__` (formula LaTeX + theme + universe + warmup + columns required), guarded by an AST purity gate + 300-row lookahead sentinel test. Use the `vibe-trading alpha {list,show,bench,compare,export-manifest}` CLI, the `/alpha/*` REST routes (browser at `/alpha-zoo`), or compose multi-factor signals via `ZooSignalEngine.from_zoo(...)`. ### Finance Skills (89) Comprehensive knowledge base covering: - Technical analysis (candlestick, Elliott wave, Ichimoku, SMC, harmonic, chanlun) - Quantitative methods (factor research, ML strategy, pair trading, multi-factor) - Risk management (VaR/CVaR, stress testing, hedging) - Options (Black-Scholes, Greeks, multi-leg strategies, payoff diagrams) - HK/US equities (SEC filings, earnings revisions, ETF flows, ADR/H-share arbitrage) - Crypto trading desk (funding rates, liquidation heatmaps, stablecoin flows, token unlocks, DeFi yields) - Behavioral finance, trade journal diagnostics, shadow account - Macro analysis, credit research, sector rotation, and more Use `load_skill(name)` to access full methodology docs with code templates. ## Available MCP Tools (70) | Tool | Description | API Key | |------|-------------|---------| | `list_skills` | List all 89 finance skills | None | | `load_skill` | Load full skill documentation | None | | `start_research_goal` | Create an auditable research goal | None | | `get_research_goal` | Read the current research goal | None | | `add_goal_evidence` | Attach evidence to a research goal | None | | `update_research_goal_status` | Update goal lifecycle status | None | | `backtest` | Run vectorized backtest engine | None* | | `factor_analysis` | IC/IR analysis + layered backtest | None* | | `alpha_zoo` | Browse bundled alpha metadata and registry health | None | | `alpha_bench` | Benchmark one alpha or a complete zoo | None* | | `analyze_options` | Black-Scholes price + Greeks | None | | `analyze_options_payoff` | Multi-leg expiry payoff + spot/IV scenarios | None | | `pattern_recognition` | Detect chart patterns (H&S, double top, etc.) | None | | `get_market_data` | Fetch OHLCV data (auto-detect + ordered fallback across 25 sources) | None* | | `get_fund_flow` | Capital fund-flow (main/retail net inflow) | None* | | `get_dragon_tiger` | Dragon-tiger list (龙虎榜) top buyer/seller seats | None* | | `get_northbound_flow` | Northbound (Stock Connect) net flow | None* | | `get_margin_trading` | Margin trading & short-selling balances | None* | | `get_block_trades` | Block-trade (大宗交易) records | None* | | `get_shareholder_count` | Shareholder-count history per symbol | None* | | `get_lockup_expiry` | Restricted-share lockup release schedule | None* | | `get_sector_info` | Sector / industry constituents & performance | None* | | `get_research_reports` | Sell-side analyst research reports | None* | | `get_stock_news` | Market & company news headlines | None* | | `get_sec_filings` | SEC EDGAR filings (10-K/10-Q/8-K, etc.) | None | | `get_financial_statements` | Income / balance / cash-flow statements | None* | | `get_options_chain` | Options chain (strikes, IV, OI, Greeks) | None* | | `get_stock_profile` | Valuation, analyst estimates & institutional holdings (US/HK) | None | | `screen_market` | Market screener with fundamental/technical filters | None* | | `search_symbol` | Symbol / ticker search across markets | None | | `get_macro_series` | FRED macroeconomic series | FRED_API_KEY | | `iwencai_search` | A-share natural-language research search | IWENCAI_KEY | | `qveris_search` | Search QVeris premium data/tool marketplace (free discovery) | QVERIS_API_KEY + paid mode | | `qveris_inspect` | Inspect QVeris tool schemas before executing (free) | QVERIS_API_KEY + paid mode | | `qveris_execute` | Execute a QVeris capability; budget-bounded, may be billable | QVERIS_API_KEY + paid mode | | `web_search` | Search the web via DuckDuckGo | None | | `read_url` | Fetch web page as Markdown | None | | `read_document` | Extract text from PDF/DOCX/XLSX/PPTX/images | None | | `write_file` | Write files (config, strategy code) | None | | `read_file` | Read file contents | None | | `analyze_trade_journal` | Parse broker CSV → profile + behavior diagnostics | None | | `extract_shadow_strategy` | Distill 3-5 if-then rules from profitable roundtrips | None | | `run_shadow_backtest` | Multi-market backtest + delta-PnL attribution | None* | | `render_shadow_report` | HTML/PDF shadow report (8 sections + charts) | None | | `scan_shadow_signals` | Today's symbols matching the shadow's cadence | None | | `list_swarm_presets` | List multi-agent team presets | None | | `run_swarm` | Execute a multi-agent research team | LLM key | | `get_swarm_status` | Poll swarm run status without blocking | None | | `get_run_result` | Get final report and task summaries | None | | `list_runs` | List recent swarm runs with metadata | None | | `reap_stale_runs` | Finalize stale swarm runs | None | | `retry_run` | Re-run a failed/stale swarm run | LLM key | | `trading_connections` | List selectable connector profiles | None | | `trading_select_connection` | Select the default connector profile | None | | `trading_check` | Check connector readiness | Connector app/OAuth | | `trading_account` | Read account summary from selected connector | Connector app/OAuth | | `trading_positions` | Read positions from selected connector | Connector app/OAuth | | `trading_orders` | Read open orders from selected connector | Connector app/OAuth | | `trading_quote` | Read a quote snapshot from selected connector | Connector app/OAuth | | `trading_history` | Read historical bars from selected connector | Connector app/OAuth | | `get_institutional_holdings` | SEC 13F-HR holdings by manager/ticker + quarter-over-quarter position diffs | None | | `etf_holdings` | ETF look-through — SEC N-PORT (US) and full-book A-share fund reports | None | | `prediction_market` | Event-contract search/market/history as labelled implied probability | None | | `research_papers` | arXiv + OpenAlex search/read with source-anchored claim extraction | None | | `quantlib_call` | Pure-compute finance math — 265 functions across 19 quantlib modules | None | | `cashflow_performance` | XIRR / MOIC / DPI / TVPI / TWR / Modified Dietz over dated cash flows | None | | `orderbook_depth` | Crypto L2 ladder — spread bps, depth imbalance, impact cost | None | | `sentiment` | Local lexicon text scoring + crypto Fear & Greed Index | None | | `technical_indicators` | RSI / MACD / Bollinger / SMA / EMA through the existing loaders | None* | | `get_fundamentals` | PIT-safe SEC fundamentals panels (filed-date anchored) | None | *A-share symbols require `TUSHARE_TOKEN`. HK/US/Canada/crypto are free. Trading connector rows use the selected connector profile, e.g. IBKR local TWS/Gateway or Robinhood MCP OAuth. ## Quick Start ```bash pip install vibe-trading-ai ``` That's it — no API keys needed for HK/US/Canada/crypto markets. Start using `backtest`, `get_market_data`, `analyze_options`, `analyze_trade_journal`, `extract_shadow_strategy`, `web_search`, the **Alpha Zoo** (`vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025`), and all 89 skills immediately. ## Loading Tools from External MCP Servers The built-in agent can load tools from your own external MCP servers in addition to its local toolset. > **Note:** This is the *MCP client* path — the opposite of the MCP plugin listed above. The plugin above makes Vibe-Trading's tools available to your agents. This section lets Vibe-Trading's own agent call tools from *your* servers. ### Setup Create `~/.vibe-trading/agent.json`: ```json { "mcpServers": { "my-server": { "command": "uvx", "args": ["my-mcp-server"], "toolTimeout": 30, "enabledTools": ["*"] } } } ``` Ordinary external MCP tools appear automatically in every `vibe-trading run` / `vibe-trading chat` call. They are injected after local tools under stable names: `mcp__`. Live-broker MCP servers are consumed through the connector-scoped `trading_*` tools instead of exposing raw `mcp__*` tools to the agent. ### Official IBKR MCP read-only probe Add Interactive Brokers' official MCP endpoint as a read-only external server: ```json { "mcpServers": { "ibkr": { "type": "streamableHttp", "url": "https://api.ibkr.com/v1/api/mcp", "auth": { "type": "oauth", "scopes": ["mcp.read"], "clientName": "Vibe-Trading", "cacheDir": "~/.vibe-trading/live/ibkr/oauth" }, "enabledTools": ["*"] } } } ``` Authorize it with `vibe-trading connector authorize ibkr-live-official-mcp-readonly`. The wildcard is accepted only for this `mcp.read` probe. Generic `trading_account` and `trading_positions` calls stay disabled until IBKR publishes stable read tool names that Vibe-Trading can map safely; `mcp.write` requires an explicit tool allowlist and live order-guard handling. If IBKR issues a pre-registered OAuth client, add `clientId` and `clientSecret` inside `auth`. ### Official eToro Public API MCP (discovery + dev) eToro ships a hosted MCP at `https://mcp.public-api.etoro.com` with live OpenAPI route discovery (`get-all-routes`, `get-route-spec`) and optional execution (`execute-read`, `execute-write`). Use it for **API exploration and codegen** — production agent trading in Vibe-Trading goes through the built-in `etoro-*` connector profiles and `trading_*` / `etoro_*` tools (mandate gate on live writes). Add to `~/.vibe-trading/agent.json` (credentials on the connection, not in chat): ```json { "mcpServers": { "etoro-public-api": { "type": "streamableHttp", "url": "https://mcp.public-api.etoro.com", "headers": { "x-api-key": "YOUR_PUBLIC_API_KEY", "x-user-key": "YOUR_USER_KEY" }, "enabledTools": ["get-all-routes", "get-route-spec", "execute-read"] } } } ``` Omit `execute-write` unless you want the MCP to place trades directly (bypasses Vibe-Trading's live mandate gate). Install skill: `https://mcp.public-api.etoro.com/skill` ### Trading connector profiles The public trading surface is connector-first. Choose a connector profile, then paper/live is just an attribute under that connector. ```bash pip install "vibe-trading-ai[ibkr]" vibe-trading connector list vibe-trading connector use ibkr-paper-local vibe-trading connector configure ibkr-paper-local --yes vibe-trading connector check vibe-trading connector account vibe-trading connector positions vibe-trading connector orders vibe-trading connector quote AAPL vibe-trading connector history AAPL --duration "30 D" --bar-size "1 day" ``` Default ports are TWS paper `7497`, IB Gateway paper `4002`, TWS live-readonly `7496`, and IB Gateway live-readonly `4001`. ### Config fields | Field | Required | Default | Description | |-------|----------|---------|-------------| | `type` | stdio: no, HTTP: yes | inferred only for stdio | Transport type. Use `sse` or `streamableHttp` for URL-based servers. | | `command` | stdio: yes | — | Executable to launch | | `args` | no | `[]` | Command arguments | | `env` | no | `{}` | Extra env vars for the subprocess | | `url` | HTTP: yes | — | Remote SSE / streamable HTTP endpoint URL | | `headers` | no | `{}` | Extra HTTP headers for SSE / streamable HTTP servers | | `toolTimeout` | no | `30` | Seconds before a tool call is cancelled | | `enabledTools` | no | `["*"]` | Allowlist of remote tool names. `["*"]` enables all | For URL-based transports, `type` is required. The agent no longer guesses between SSE and streamable HTTP from the URL suffix. ### Per-session override (API) > **Security — disabled by default.** `mcpServers` defines subprocess `command`/`args`/`env` and is therefore restricted to operator-level trust. API callers **cannot** inject MCP server definitions through `POST /sessions` unless the server operator explicitly opts in. To enable session-level MCP injection, set the environment variable on the server before starting the agent: ```bash export ALLOW_SESSION_MCP_SERVERS=1 ``` With the opt-in active, pass `mcpServers` inside `session.config` to extend or replace the global config for that session only: ```json { "config": { "mcpServers": { "research": { "command": "uvx", "args": ["research-mcp"], "enabledTools": ["search"] } } } } ``` Without `ALLOW_SESSION_MCP_SERVERS=1`, any `mcpServers` key in `session.config` is silently stripped before config loading. The global operator config on disk (`~/.vibe-trading/agent.json`) is always respected regardless of this flag. ### v1 limits - **Transport:** stdio, SSE, and streamable HTTP. - **Execution:** serial only. MCP tools never enter the parallel readonly path. - **Surfaces:** tools only. Resources and prompts are not exposed. - **Swarm:** MCP tools are excluded from Swarm worker registries in v1. - **Hot reload:** not supported. Restart the process to pick up config changes. ### Failure handling | Case | Behavior | |------|----------| | Missing config file | falls back to empty config — no MCP servers loaded | | Invalid config file | logs a warning and falls back to empty config | | Server fails to start | that server is skipped; local tools and other servers still load | | Tool call times out | returns a normalized error payload instead of raising | | Two server names collide after sanitization | deterministic hash suffix appended; operator warning emitted | ## Examples **Backtest a MACD strategy on Apple:** > Backtest AAPL with MACD crossover strategy (fast=12, slow=26, signal=9) for 2024 **Analyze my trade journal and build a Shadow Account:** > Call analyze_trade_journal on ~/Downloads/tonghuashun.csv, then extract_shadow_strategy with min_support=3, then run_shadow_backtest for the last year, then render_shadow_report. **Run an investment committee review:** > Use run_swarm with investment_committee preset to evaluate NVDA. Variables: target=NVDA.US, market=US **Factor analysis on CSI 300:** > Run factor_analysis on CSI 300 stocks using pe_ttm factor from 2023 to 2024 **Options analysis:** > Use analyze_options: spot=100, strike=105, 90 days, vol=25%, rate=3% **Multi-leg options payoff:** > Use analyze_options_payoff for a 95/105 bull call spread at spot 100 with 30 days remaining: long one 95 call at premium 8, short one 105 call at premium 3, multiplier 100, commission rate 0.001.