Agent skill

Vibe-Trading Finance Toolkit

by HKUDS in HKUDS/Vibe-Trading

Finance research toolkit with backtesting, factor analysis, a library of prebuilt alphas, options pricing and a Shadow Account loop that tests rules extracted from your trade journal.

MITAuto-check passedBusiness, Finance & HR

Install Vibe-Trading Finance Toolkit

skills CLI
$ npx skills add HKUDS/Vibe-Trading --skill vibe-trading -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install HKUDS/Vibe-Trading vibe-trading --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent .claude/skills/vibe-trading && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vibe-trading
GitHub stars
35k
Token cost
~6.5k tokens
SKILL.md length
2,723 words
Files
2,070 (incl. scripts)
Skills in repo
89
Repo updated
First seen
Licence
MIT

At a glance

Finance research toolkit with backtesting, factor analysis, a library of prebuilt alphas, options pricing and a Shadow Account loop that tests rules extracted from your trade journal.

  • Works in 5 steps: analyze_trade_journal — profile your… → extract_shadow_strategy — distill 3-5… → run_shadow_backtest — backtest those… → …
  • Backtesting a trading rule across several markets
  • SKILL.md covers Setup, What You Can Do, Available MCP Tools (76) and Quick Start, plus 2 more sections
  • Runs Python scripts from its folder; calls pip; reaches mcp.public-api.etoro.com and api.ibkr.com; needs TUSHARE_TOKEN and QVERIS_API_KEY

What it does

This toolkit bundles backtesting with 10 engines, factor analysis, the Alpha Zoo of 462 prebuilt alphas, options pricing, 90 finance skills, multi-agent swarm teams, a trade journal analyzer and market data from 28 sources. It installs with `pip install vibe-trading-ai`, which provides a CLI, a FastAPI web server and an MCP server to add to an agent's config. Core research tools need no API keys for HK, US, Canada and crypto data. Premium US data providers take optional keys, the swarm needs an LLM key, and IBKR tools need a local TWS or IB Gateway session.

The flagship Shadow Account loop starts from a CSV broker export. The agent profiles trading behavior such as holding period, win rate, disposition effect, chasing, overtrading and anchoring, distills a few if-then rules from profitable round trips, then backtests those rules across A-share, Hong Kong, US and crypto markets and compares the result with your realized trades. The excerpt is cut off after that loop begins.

When your agent uses it

  • Backtesting a trading rule across several markets
  • Analyzing a broker CSV export for behavioral patterns
  • Benchmarking quantitative alphas from the Alpha Zoo
  • Pricing options or running factor analysis through MCP tools

Example prompts

  • “Analyze my broker export in ./trades.csv and tell me what my trading behavior shows.”
  • “Extract if-then rules from my profitable round trips and backtest them on US stocks.”
  • “Benchmark the alpha101 alphas on US equities and rank them.”

Requirements

  • Python with `vibe-trading-ai` installed from pip
  • An LLM API key for the multi-agent swarm
  • Optional keys for premium data providers

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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).

What it can do on your machine

Read from SKILL.md and the folder at commit 8e43007. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python, from the files we listed), which the agent can run.

    Shell commands in SKILL.md call:

    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.public-api.etoro.com
    • api.ibkr.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TUSHARE_TOKEN
    • QVERIS_API_KEY
    • FINNHUB_API_KEY
    • ALPHAVANTAGE_API_KEY
    • TIINGO_API_KEY
    • FMP_API_KEY
    • OPENAI_API_KEY
    • LONGBRIDGE_APP_KEY
    • LONGBRIDGE_APP_SECRET
    • LONGBRIDGE_ACCESS_TOKEN
    • TICKERALL_API_KEY
    • FRED_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Vibe-Trading Finance Toolkit loads about 6.5k tokens when it runs. Until then it costs about 158 tokens; SKILL.md has 2,723 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~158
When it runs · the whole SKILL.md, loaded when a task matches
~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from HKUDS/Vibe-Trading at commit 8e43007, republished under its MIT licence (© HKUDS). 2,723 words, ~6,493 tokens.

Download SKILL.mdSave it as .claude/skills/vibe-trading/SKILL.md (or your agent's skills folder). This skill also uses 2069 other files; get the full folder from GitHub.
name
vibe-trading
description
Professional finance research toolkit — backtesting (10 engines + benchmark comparison panel), factor analysis, Alpha Zoo (462 pre-built alphas across qlib158/alpha101/gtja191/academic/fundamental), options pricing, 90 finance skills, 30 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 28 market-data sources (tushare, yfinance, okx, binance, akshare, baostock, tencent, mootdx, ccxt, futu, mt5, tickerall, local, eastmoney, sina, stooq, yahoo, pykrx, india_broker, qveris, longbridge, nobitex, wallex, plus optional-key finnhub/alphavantage/tiingo/fmp/gildata).
version
0.1.16
dependencies.python
>=3.11
dependencies.pip
vibe-trading-ai
mcp.command
vibe-trading-mcp

Vibe-Trading

Professional finance research toolkit with AI-powered backtesting (10 engines), multi-agent teams, 90 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:

CommandPurpose
vibe-tradingInteractive CLI / TUI
vibe-trading serveLaunch FastAPI web server
vibe-trading-mcpStart 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 90 skills are ready to use. IBKR tools require a local TWS / IB Gateway session; run_swarm requires an LLM key.

FeatureKey neededWhen
HK/US/Canada equities & cryptoNoneAlways free (yfinance / stooq / yahoo + OKX)
China A-share dataNoneFree via akshare / baostock / tencent / sina / eastmoney fallback (TUSHARE_TOKEN optional for premium quality)
Premium US fundamentals/quotesFINNHUB_API_KEY / ALPHAVANTAGE_API_KEY / TIINGO_API_KEY / FMP_API_KEYOnly for optional-key providers (graceful fallback to free sources)
Multi-agent swarm (run_swarm)OPENAI_API_KEY + LANGCHAIN_MODEL_NAMESwarm 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 10 engines (ChinaA, GlobalEquity, IndiaEquity, KoreaEquity, VietnamEquity, Crypto, ChinaFutures, GlobalFutures, Forex + options) with 28 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 <TICKER>.TO (TSX, e.g. TD.TO) or <TICKER>.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 <SYMBOL>.NS (NSE, e.g. RELIANCE.NS) or <SCRIP>.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 <CODE>.KS (KOSPI, e.g. 005930.KS) or <CODE>.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.
  • Vietnam equities (HOSE) via yahoo / yfinance using <TICKER>.VN (e.g. VIC.VN) — no API key. Yahoo officially lists HOSE but not HNX or UPCOM; those venues are unsupported and need the local source. yfinance is an unofficial Yahoo client, so availability is best-effort and subject to Yahoo's personal-use terms. The VietnamEquityEngine approximates the formal T+2 settlement cycle — shares bought on day T normally become sellable during the afternoon session on T+2, informally called T+1.5 — as a two-bar hold on daily data (vn_settlement_bars covers scenario testing and future rule changes). It applies HOSE's normal ±7% band around the reference price, rounding the ceiling down and the floor up to the 10/50/100-VND tick grid, and uses 100-share round lots; odd-lot trading is not modelled. Costs are configurable brokerage plus, for individual investors, 0.1% sell-side personal income tax on gross proceeds. It is long-only, because operational cash-equity short selling is not generally available in Vietnam.
  • Cryptocurrency via OKX or CCXT/100+ exchanges (free, no API key)
  • China A-shares via AKShare / baostock / tencent / sina / eastmoney (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). Live/paper Korea equity trading uses the KIS connector (한국투자증권; genuine 모의투자 paper sandbox on a separate host/port from 실전투자 live, plus read-only live — no mandate-gated live-trade profile yet). Live/paper Korea crypto trading uses the Upbit connector (KRW markets; paper + read-only live — no runtime paper/live discriminator, so live order placement is structurally disabled, same as Shoonya/Dhan). Read-only Korea/US equity access is also available via the Toss Securities connector (토스증권) — no verified sandbox, so order placement always refuses, same as Trading 212.

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 (90)

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 (76)

ToolDescriptionAPI Key
list_skillsList all 90 finance skillsNone
load_skillLoad full skill documentationNone
start_research_goalCreate an auditable research goalNone
get_research_goalRead the current research goalNone
add_goal_evidenceAttach evidence to a research goalNone
update_research_goal_statusUpdate goal lifecycle statusNone
backtestRun vectorized backtest engineNone*
factor_analysisIC/IR analysis + layered backtestNone*
alpha_zooBrowse bundled alpha metadata and registry healthNone
alpha_benchBenchmark one alpha or a complete zooNone*
analyze_optionsBlack-Scholes price + GreeksNone
analyze_options_payoffMulti-leg expiry payoff + spot/IV scenariosNone
pattern_recognitionDetect chart patterns (H&S, double top, etc.)None
get_market_dataFetch OHLCV data (auto-detect + ordered fallback across 28 sources)None*
get_fund_flowCapital fund-flow (main/retail net inflow)None*
get_dragon_tigerDragon-tiger list (龙虎榜) top buyer/seller seatsNone*
get_northbound_flowNorthbound (Stock Connect) net flowNone*
get_southbound_flowSouthbound (Stock Connect) net buy into HK (Eastmoney/HKEX)None
get_margin_tradingMargin trading & short-selling balancesNone*
get_block_tradesBlock-trade (大宗交易) recordsNone*
get_shareholder_countShareholder-count history per symbolNone*
get_lockup_expiryRestricted-share lockup release scheduleNone*
get_sector_infoSector / industry constituents & performanceNone*
get_research_reportsSell-side analyst research reportsNone*
get_stock_newsMarket & company news headlinesNone*
get_sec_filingsSEC EDGAR filings (10-K/10-Q/8-K, etc.)None
get_financial_statementsIncome / balance / cash-flow statementsNone*
get_options_chainOptions chain (strikes, IV, OI, Greeks)None*
get_stock_profileValuation, analyst estimates & institutional holdings (US/HK)None
screen_marketMarket screener with fundamental/technical filtersNone*
search_symbolSymbol / ticker search across marketsNone
get_macro_seriesFRED macroeconomic seriesFRED_API_KEY
iwencai_searchA-share natural-language research searchIWENCAI_KEY
qveris_searchSearch QVeris premium data/tool marketplace (free discovery)QVERIS_API_KEY + paid mode
qveris_inspectInspect QVeris tool schemas before executing (free)QVERIS_API_KEY + paid mode
qveris_executeExecute a QVeris capability; budget-bounded, may be billableQVERIS_API_KEY + paid mode
web_searchSearch the web via DuckDuckGoNone
read_urlFetch web page as MarkdownNone
read_documentExtract text from PDF/DOCX/XLSX/PPTX/imagesNone
write_fileWrite files (config, strategy code)None
read_fileRead file contentsNone
read_run_artifactStructured run-artifact reads (rows / downsample / meta)None
list_strategiesBrowse discoverable strategies (Alpha Zoo + SDM store)None
query_strategiesEvidence-gated query: regime / Sharpe / quality / cost filtersNone
get_strategy_evidencePer-regime evidence rows for one strategyNone
refresh_strategy_evidenceRebuild the disposable strategy-evidence cache from run artifactsNone
analyze_trade_journalParse broker CSV → profile + behavior diagnosticsNone
extract_shadow_strategyDistill 3-5 if-then rules from profitable roundtripsNone
run_shadow_backtestMulti-market backtest + delta-PnL attributionNone*
render_shadow_reportHTML/PDF shadow report (8 sections + charts)None
scan_shadow_signalsToday's symbols matching the shadow's cadenceNone
list_swarm_presetsList multi-agent team presetsNone
run_swarmExecute a multi-agent research teamLLM key
get_swarm_statusPoll swarm run status without blockingNone
get_run_resultGet final report and task summariesNone
list_runsList recent swarm runs with metadataNone
reap_stale_runsFinalize stale swarm runsNone
retry_runRe-run a failed/stale swarm runLLM key
trading_connectionsList selectable connector profilesNone
trading_select_connectionSelect the default connector profileNone
trading_checkCheck connector readinessConnector app/OAuth
trading_accountRead account summary from selected connectorConnector app/OAuth
trading_positionsRead positions from selected connectorConnector app/OAuth
trading_ordersRead open orders from selected connectorConnector app/OAuth
trading_quoteRead a quote snapshot from selected connectorConnector app/OAuth
trading_historyRead historical bars from selected connectorConnector app/OAuth
get_institutional_holdingsSEC 13F-HR holdings by manager/ticker + quarter-over-quarter position diffsNone
etf_holdingsETF look-through — SEC N-PORT (US) and full-book A-share fund reportsNone
prediction_marketEvent-contract search/market/history as labelled implied probabilityNone
research_papersarXiv + OpenAlex search/read with source-anchored claim extractionNone
quantlib_callPure-compute finance math — 265 functions across 19 quantlib modulesNone
cashflow_performanceXIRR / MOIC / DPI / TVPI / TWR / Modified Dietz over dated cash flowsNone
orderbook_depthCrypto L2 ladder — spread bps, depth imbalance, impact costNone
sentimentLocal lexicon text scoring + crypto Fear & Greed IndexNone
technical_indicatorsRSI / MACD / Bollinger / SMA / EMA through the existing loadersNone*
get_fundamentalsPIT-safe SEC fundamentals panels (filed-date anchored)None

<sub>*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.</sub>

Show full SKILL.md (778 more words)Show less

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 90 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_<server>_<tool>. Live-broker MCP servers are consumed through the connector-scoped trading_* tools instead of exposing raw mcp_<broker>_* 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-public",
      "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
FieldRequiredDefaultDescription
typestdio: no, HTTP: yesinferred only for stdioTransport type. Use sse or streamableHttp for URL-based servers.
commandstdio: yes—Executable to launch
argsno[]Command arguments
envno{}Extra env vars for the subprocess
urlHTTP: yes—Remote SSE / streamable HTTP endpoint URL
headersno{}Extra HTTP headers for SSE / streamable HTTP servers
toolTimeoutno30Seconds before a tool call is cancelled
enabledToolsno["*"]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
CaseBehavior
Missing config filefalls back to empty config — no MCP servers loaded
Invalid config filelogs a warning and falls back to empty config
Server fails to startthat server is skipped; local tools and other servers still load
Tool call times outreturns a normalized error payload instead of raising
Two server names collide after sanitizationdeterministic 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.

© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2,069 other files (scripts) in agent of HKUDS/Vibe-Trading.

  • SKILL.md
  • .editorconfig
  • .env.example
  • .gitignore
  • api_server.py
  • backtest/__init__.py
  • backtest/benchmark.py
  • backtest/binance_account_reconciliation.py
  • backtest/binance_shadow_evidence.py
  • backtest/binance_tolerance_calibration.py
  • backtest/constraints.py
  • backtest/correlation.py
  • backtest/engines/__init__.py
  • backtest/engines/_market_hooks.py
  • backtest/engines/base.py
  • backtest/engines/china_a.py
  • backtest/engines/china_futures.py
  • backtest/engines/composite.py
  • backtest/engines/crypto.py
  • … and 2,051 more

Open the folder on GitHubat commit 8e43007

Compare with similar skills

Vibe-Trading Finance Toolkit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vibe-Trading Finance Toolkit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vibe-Trading Finance Toolkit this skillHKUDS/Vibe-Trading35k—~6.5kAutomated safety check: PassMIT
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Okx Sentiment Trackerdex-original/okx-agent-trade-kit1101 repos~3.8kAutomated safety check: PassMIT
Stock AnalysisCoWork-OS/CoWork-OS480—~685Automated safety check: PassMIT
Strategy Performance Reporttradesdontlie/tradingview-mcp6.8k2 repos~591Automated safety check: PassCustom licence
Regimejackson-video-resources/markov-hedge-fund-method484—~1.6kAutomated safety check: PassCustom licence

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Questions about Vibe-Trading Finance Toolkit

What does Vibe-Trading Finance Toolkit do?

Finance research toolkit with backtesting, factor analysis, a library of prebuilt alphas, options pricing and a Shadow Account loop that tests rules extracted from your trade journal. This toolkit bundles backtesting with 10 engines, factor analysis, the Alpha Zoo of 462 prebuilt alphas, options pricing, 90 finance skills, multi-agent swarm teams, a trade journal analyzer and market data from 28 sources. It installs with `pip install vibe-trading-ai`, which provides a CLI, a FastAPI web server and an MCP server to add to an agent's config.

When should I use Vibe-Trading Finance Toolkit?

Vibe-Trading Finance Toolkit fits situations like: backtesting a trading rule across several markets; analyzing a broker CSV export for behavioral patterns; benchmarking quantitative alphas from the Alpha Zoo; pricing options or running factor analysis through MCP tools.

How do I install Vibe-Trading Finance Toolkit in Claude Code?

Run `npx skills add HKUDS/Vibe-Trading --skill vibe-trading -a claude-code`. Or copy the skill folder (agent in HKUDS/Vibe-Trading) into .claude/skills/vibe-trading in your project. Claude Code loads it when a task matches its description.

How do I install Vibe-Trading Finance Toolkit in Codex?

Run `npx skills add HKUDS/Vibe-Trading --skill vibe-trading -a codex`. Or copy the skill folder (agent in HKUDS/Vibe-Trading) into .agents/skills/vibe-trading in your project. Codex loads it when a task matches its description.

Can I use Vibe-Trading Finance Toolkit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add HKUDS/Vibe-Trading --skill vibe-trading -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vibe-trading, .gemini/skills/vibe-trading, .github/skills/vibe-trading and .opencode/skills/vibe-trading in your project.

What does Vibe-Trading Finance Toolkit need to run?

Going by SKILL.md and its folder, Vibe-Trading Finance Toolkit needs Python for the scripts in its folder, the command-line tools its instructions call (pip) and credentials named TUSHARE_TOKEN, QVERIS_API_KEY, FINNHUB_API_KEY and ALPHAVANTAGE_API_KEY. Our summary lists: Python with `vibe-trading-ai` installed from pip; An LLM API key for the multi-agent swarm; Optional keys for premium data providers.

Does Vibe-Trading Finance Toolkit access the network?

SKILL.md names 2 domains. In commands or code: mcp.public-api.etoro.com and api.ibkr.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Vibe-Trading Finance Toolkit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Vibe-Trading Finance Toolkit use?

Vibe-Trading Finance Toolkit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vibe-Trading Finance Toolkit use?

About 6.5k tokens (SKILL.md is roughly 26k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Vibe-Trading Finance Toolkit?

Skills that share tags, products or a category with Vibe-Trading Finance Toolkit: Longbridge (helsome/folio, 271 stars), Okx Sentiment Tracker (dex-original/okx-agent-trade-kit, 110 stars), Stock Analysis (CoWork-OS/CoWork-OS, 480 stars) and Strategy Performance Report (tradesdontlie/tradingview-mcp, 6.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vibe-Trading Finance Toolkit?

HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,163 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 10, 2026.

Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.