Vibe-Trading

"Vibe-Trading: Your Personal Trading Agent"

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<p align="center"> <b>English</b> | <a href="README_zh.md">中文</a> | <a href="README_ja.md">日本語</a> | <a href="README_ko.md">한국어</a> | <a href="README_ar.md">العربية</a> </p> <p align="center"> <img src="assets/icon.png" width="120" alt="Vibe-Trading Logo"/> </p> <h1 align="center">Vibe-Trading: Your Personal Trading Agent</h1> <p align="center"> <b>One Command to Empower Your Agent with Comprehensive Trading Capabilities</b> </p> <p align="center"> <a href="https://trendshift.io/repositories/25527" target="_blank"><img src="https://trendshift.io/api/badge/repositories/25527" alt="HKUDS%2FVibe-Trading | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </p> <p align="center"> <img src="https://img.shields.io/badge/Python-3.11%2B-3776AB?style=flat&logo=python&logoColor=white" alt="Python"> <img src="https://img.shields.io/badge/Backend-FastAPI-009688?style=flat" alt="FastAPI"> <img src="https://img.shields.io/badge/Frontend-React%2019-61DAFB?style=flat&logo=react&logoColor=white" alt="React"> <a href="https://pypi.org/project/vibe-trading-ai/"><img src="https://img.shields.io/pypi/v/vibe-trading-ai?style=flat&logo=pypi&logoColor=white" alt="PyPI"></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-MIT-yellow?style=flat" alt="License"></a> <br> <a href="https://github.com/HKUDS/.github/blob/main/profile/README.md"><img src="https://img.shields.io/badge/Feishu-Group-E9DBFC?style=flat-square&logo=feishu&logoColor=white" alt="Feishu"></a> <a href="https://github.com/HKUDS/.github/blob/main/profile/README.md"><img src="https://img.shields.io/badge/WeChat-Group-C5EAB4?style=flat-square&logo=wechat&logoColor=white" alt="WeChat"></a> <a href="https://discord.gg/2vDYc2w5"><img src="https://img.shields.io/badge/Discord-Join-7289DA?style=flat-square&logo=discord&logoColor=white" alt="Discord"></a> </p> <p align="center"> <a href="https://vibetrading.wiki/">Website</a>  ·  <a href="https://vibetrading.wiki/docs/">Docs</a>  ·  <a href="#-news">News</a>  ·  <a href="#-key-features">Features</a>  ·  <a href="#-shadow-account">Shadow Account</a>  ·  <a href="#-demo">Demo</a>  ·  <a href="#-quick-start">Quick Start</a>  ·  <a href="#-examples">Examples</a>  ·  <a href="#-api-server">API / MCP</a>  ·  <a href="#-roadmap">Roadmap</a>  ·  <a href="#-contributing">Contributing</a> </p> <p align="center"> <a href="#-quick-start"><img src="assets/pip-install.svg" height="45" alt="pip install vibe-trading-ai"></a> </p>

📰 News

2026-06-14 📊 Per-run token usage + progressive Run Detail charts: Every agent run now persists provider-reported token usage as a run-scoped llm_usage.json — provider/model, aggregate totals, and per-iteration counts — surfaced additively on /runs/{id}, so a finished run's token cost stays auditable after the live stream is gone (provider-reported only; no prompt/content capture, no price estimation) (#223, thanks @LemonCANDY42). The Run Detail page no longer loads every symbol's candlesticks up front: the default /runs/{id} response is unchanged, but the UI now renders the run summary first and loads each symbol's chart on demand through opt-in ?chart_payload=summary / ?chart_symbol= modes, with per-symbol loading state and a load-all-with-progress control (#225, thanks @LemonCANDY42). Two loader fixes close the cycle: yfinance's exclusive end boundary no longer drops the final requested trading day — the download now passes end + 1 day while cache keys keep the original range (#226, thanks @gyx09212214-prog) — and a malformed CCXT_TIMEOUT_MS / OKX_TIMEOUT_S value now warns and falls back to its default instead of raising at import and blocking startup (#227, thanks @gyx09212214-prog).
2026-06-13 ↩️ Resume a past session by ID from the CLI: The interactive CLI now prints the session-id on exit, with a copy-paste vibe-trading resume <session-id> hint — so locating the trace for a finished run no longer means guessing which folder under agent/sessions/ is newest by timestamp. The new vibe-trading resume <session-id> subcommand reopens that exact session and replays its recent turns into the loop; an unknown id fails fast instead of silently starting a blank session (#218, thanks @zwrong).
2026-06-12 🩺 Provider reliability overhaul — DeepSeek hangs, Kimi access, streaming liveness: A cluster of provider reports — DeepSeek runs stuck on "Agent is working…" (#208, thanks @XYWOX), reached max iterations masking empty model responses (#203, thanks @mojianliang), the UI never recovering after a stall (#195, thanks @mafia23), and Kimi rejecting the client (#204, thanks @liao497) — shared one root: every OpenAI-compatible provider ran through a single shim that applied DeepSeek/Kimi/Gemini quirks globally and silently swallowed stream failures. Provider-specific behavior now lives in an explicit capability layer — reasoning capture/replay, Gemini thought signatures, the Kimi User-Agent, OpenRouter's reasoning body are each gated to their own provider instead of cross-contaminating. Reasoning-only streams show a live "Reasoning…" indicator instead of dead air; a stream failure raises a contextual provider_stream_error with one automatic retry for transient resets (deterministic 4xx fail fast) instead of silently falling back to a slow non-streaming call; an empty model response is reported as empty_model_response instead of "max iterations"; SSE heartbeats no longer break reconnect replay; and a stuck read-only tool times out instead of hiding behind heartbeats forever. A new vibe-trading provider doctor prints a redacted provider/model/package/proxy snapshot for one-command triage of environment-side hangs. DeepSeek users can opt into the official native adapter with pip install "vibe-trading-ai[deepseek]", and kimi-k2.x's temperature=1 requirement is applied automatically — the Kimi path is verified end-to-end against the live API (tool calls + strict multi-turn reasoning replay on kimi-k2.6).

<details> <summary>Earlier news</summary>

2026-06-11 🐝 Swarm workers now pull market data through the loader layer: An investment-committee run on NVDA exposed a chain of gaps — workers wrote ad-hoc yfinance scripts, trusted a malformed latest bar (volume present, OHLC empty), leaked NaN into non-strict JSON, and a context-free continuation prompt re-routed to the wrong preset (#198, thanks @BillDin for an exceptional diagnosis plus both fixes). Swarm workers now get a local get_market_data tool backed by the same normalized loader registry as MCP — strict JSON, non-finite floats serialize as null — wired into every market-data preset (21 workers across 13 presets) with a prompt policy that steers OHLCV work tool-first (#199); run_swarm takes an explicit preset_name and refuses ambiguous continuation fragments instead of silently falling back to equity_research_team (#200). Grounding got smarter too: a bare US ticker like NVDA in a swarm prompt is promoted to NVDA.US (stopword-guarded), so workers start from authoritative pre-fetched prices. The tool joins the main agent registry as well — 48 tools now. Also: your Docker data now survives updates — persistent memory, the session search index, user-created skills, shadow accounts and broker config live in named volumes, so docker compose up --build no longer wipes them (#197, thanks @FlyerJ).
2026-06-10 🐳 Docker reaches a host-side Ollama out of the box: Inside the container localhost is the container itself, so the shipped OLLAMA_BASE_URL=http://localhost:11434 failed the LLM preflight for every Dockerized Ollama setup. docker-compose.yml now defaults to http://host.docker.internal:11434 (export OLLAMA_BASE_URL to point elsewhere) and adds the host-gateway extra_hosts mapping so the same file works on Linux as well as Docker Desktop (#196, thanks @ShahNewazKhan).
2026-06-09 🔑 Clearer error when the Web UI is opened from another machine: Reaching the chat from a non-loopback client (another machine, a VM host, a phone on your LAN) without API_AUTH_KEY set returned 403 on every sensitive endpoint — sending a message, listing sessions, live status — but the chat only showed a generic "Failed to send message, please retry." The send path now surfaces the real reason — "Remote API access requires an API key. Add it in Settings, or run the backend on localhost for local-only use." — and the README's web-UI setup spells out the localhost-vs-LAN rule plus the three fixes (browse via localhost on the same machine; set API_AUTH_KEY and enter it once in Settings; or VIBE_TRADING_TRUST_DOCKER_LOOPBACK=1 for Docker Desktop's host gateway) (#191, thanks @mafia23).
2026-06-08 🔧 Gemini 3.x multi-turn tool-calling fix: This completes the Gemini 3.x thinking-model fix. The 6/05 round-trip (#176) only covered in-memory history, but the real agent loop replays history as OpenAI-format dicts where LangChain dropped the per-tool-call thought_signature before the request was built — so multi-turn tool calling still 400'd with missing thought_signature. It is now re-attached at the single _convert_input chokepoint both invoke and stream pass through (parallel calls, where only the first of N is signed, included) (#184, thanks @ngoanpv).
2026-06-07 🐝 Live swarm status in the chat timeline: When the agent launches a multi-agent swarm (investment committee, quant desk, risk committee, …), the chat now renders an inline status card that streams each worker's state — waiting / running / done / failed / blocked / retrying — in real time, the same per-agent visibility the standalone swarm dashboard already had. Runtime events are bridged into the session SSE stream without changing the existing /swarm/runs API, and a finished card rehydrates from the final run_swarm result on reconnect or history replay (#188, thanks @BillDin). Preset routing also got sharper: an explicitly named preset (e.g. investment_committee, with or without underscores) now wins over keyword scoring, and the bare IV derivatives keyword no longer false-matches inside ordinary words like "given" (#189, thanks @BillDin).
2026-06-06 ⚖️ Alpha compare — head-to-head across CLI, Web UI, REST & agent: A new alpha compare benches a hand-picked shortlist of Alpha Zoo alphas against each other on a universe and period, then ranks them by IC mean/std, IR, IC-positive ratio or sample count — each with its gap to the leader. Unlike a full-zoo bench it evaluates only the alphas you name (a new run_bench(only=…) subset filter), so comparing three alphas no longer scores all 191 in their zoo. One shared core powers every surface: vibe-trading alpha compare <id1> <id2> … --sort ir (CLI), a Compare view in the Alpha Zoo Web UI (tick alphas in the catalogue → one-click compare with a streamed ranking table), POST /alpha/compare + SSE (REST), and a read-only alpha_compare agent tool (47 tools now).
2026-06-05 🇮🇳 Dhan + Shoonya connectors (India) — 10 brokers total: The connector-first trading layer adds Dhan and Shoonya for the Indian market (NSE/BSE equities + F&O), bringing the roster to ten brokers. Both are paper + read-only — like Longbridge, their APIs expose no runtime paper/live discriminator, so their place_order / cancel_order hard-refuse any non-paper config at the first line (the rule: a broker with no structural paper/live guard is capped at paper + read-only) (#181, closes #174). This cycle also fixes Gemini 2.5 / 3.x thinking models: their per-tool-call thoughtSignature now round-trips through the OpenAI-compatible path, so multi-turn function calling no longer fails with INVALID_ARGUMENT (#176, closes #170, thanks @mvanhorn & @jliu6789). Chinese docstrings landed on all 452 Alpha Zoo factors (#180, thanks @LeeCQiang), and a frontend test suite (197 vitest tests) plus backend auth / path-traversal / CORS security tests joined CI (#175, thanks @sambazhu).
2026-06-04 🗃️ Opt-in local data cache for all 7 data sources: A new VIBE_TRADING_DATA_CACHE switch lets every backtest loader — tushare, okx, ccxt, akshare, mootdx, yfinance, futu — cache settled historical bars under ~/.vibe-trading/cache (user home, never the repo), so repeated and long-horizon / cross-market backtests skip the network and avoid provider rate limits. Off by default. Batch and connection loaders (yfinance, futu) skip the bulk download / FutuOpenD connection entirely on a full cache hit, a staleness guard never caches a range ending today (its last bar is still forming), and cached frames round-trip byte-identical to freshly fetched ones (#177, thanks @mvanhorn). A new contributor guide for AI / automation-assisted PRs also landed, mapping safe local checks and high-risk broker/MCP/credential surfaces (#173).
2026-06-03 🧹 Community triage + trace correlation: Tool-call trace entries now carry the originating call_id, so a tool_result can be matched back to its tool_call when replaying a run trace — arg previews stay truncated to keep trace files small (#168, thanks @zwrong). Source comments no longer point at an internal-only docs path that external contributors couldn't find (#166, thanks @jaleelpersonal). Also clarified that the langchain-community resolver warning on install is a harmless leftover-package notice, not a failure (#167), and scoped Gemini 2.5/3.0 thoughtSignature round-tripping for function calls as a help wanted task with a full fix plan (#170, thanks @jliu6789).
2026-06-02 🔌 Six new broker connectors (Tiger / Longbridge / Alpaca / OKX / Binance / Futu): The connector-first trading layer gains a direct-SDK transport alongside IBKR (local) and Robinhood (MCP). Each connector exposes read-only account / positions / orders / quote / history plus paper-account order placement — test your strategies across these broker paper accounts. Five of them (Tiger, Alpaca, OKX, Binance, Futu) also support bounded, mandate-gated order placement behind the same safety model as Robinhood: a user-committed mandate (symbol universe / order size / exposure / leverage / daily cap), a filesystem kill switch, a fail-closed pre-trade gate, and a full audit ledger. Longbridge is paper + read-only only (its API exposes no runtime paper/live discriminator). Every paper/live distinction is a structural per-broker guard — account-id format, host separation, demo flag, or trade environment. New trading_place_order / trading_cancel_order tools; HK and A-share asset classes added to the mandate universe. Experimental / use at your own risk.
2026-06-01 🚀 v0.1.9 released (pip install -U vibe-trading-ai): Rolls up everything since 0.1.8. Connector-first broker profiles (IBKR local read-only TWS / IB Gateway + Robinhood Agentic Trading behind OAuth, a committed mandate, order guard, audit ledger, and instant halt). Research Goal runtime across CLI / REST / MCP / Web. A swarm pass — live reconcile + MCP keepalive, operator-configured worker MCP tools, a strict alpha-bench random control, and a new retry_run to relaunch failed/stale runs (36 MCP tools now). The agent/cli/ package refactor with a refreshed terminal UI, the mootdx no-token A-share loader, and a robustness pass across backtest / agent loop / sessions. --version now always matches the installed package, fixing the 0.1.8 drift (#156).
2026-05-31 🔌 Connector-first broker architecture (IBKR + Robinhood): Trading access now starts from a selectable connector profile instead of separate broker/live entry points. vibe-trading connector list/use/check/account/positions/orders/quote/history and the MCP trading_* tools share the same selected profile, where paper/live is an attribute of the connector. IBKR can be used immediately through a local read-only TWS / IB Gateway profile, while the official IBKR remote MCP path is seeded as an OAuth mcp.read probe until stable read tool names are available. Robinhood Agentic Trading remains the bounded live MCP connector behind OAuth, a committed mandate, order guard, audit ledger, and instant halt.
2026-05-30 🧰 Robustness pass — backtest, agent loop, sessions: LLM-generated signal engines now pass pre-flight interface validation before instantiation, catching circular self-imports, a missing generate(), non-defaulted __init__ args, and wrong return types with actionable JSON errors instead of raw tracebacks (#149); a follow-up routes source-level AST validation errors through the same clean JSON envelope. The agent loop no longer burns all 50 iterations into a failed status with no output — it mirrors the swarm worker's wrap-up nudge at 80% of the iteration budget and drops tool definitions on the last iteration to force a final text answer (#148), guarded to fire only mid-run so it never displaces research-goal context. Session message writes now flush + fsync each append so expensive AI responses survive a mid-write crash, and the read path skips corrupted JSONL lines (logging the first 200 chars for recovery) instead of 500-ing the whole /messages endpoint (#147). The Web composer also fixes IME Enter handling so a composition-confirming Enter no longer submits mid-word (#146).
2026-05-29 🔐 Robinhood Agentic Trading support (opt-in, bounded autonomy): Adds support for Robinhood Agentic Trading (remote MCP, OAuth). Off and read-only by default; the agent acts only inside a user-committed mandate (symbols / order size / exposure / leverage / daily cap), with a filesystem-level instant kill switch, preemptive flatten, mandate auto-expiry, a full audit ledger, and a persistent autonomous runner. No custody, no venue — the broker holds funds and executes; we only relay intent. Experimental / use at your own risk.
2026-05-28 🧪 Swarm safety + strict alpha gate + worker MCP: Swarm DAG blocks downstream tasks when upstream fails (#145). New run_bench_strict() adds a same-universe random control + OOS split to catch factors that just track market beta (#143, thanks @Soli22de). Swarm workers can call operator-configured external MCP servers, with trust boundary pinned (#142, thanks @shadowinlife).
2026-05-27 📊 mootdx A-share data source + output polish: New mootdx loader speaks the native 通达信 TCP protocol for A-share OHLCV (no auth, no IP rate-limit, daily + intraday with 25-page walk-back pagination), slotting between tushare and akshare in the fallback chain (#107). CCXT loader now reads HTTP_PROXY/HTTPS_PROXY/ALL_PROXY so Binance/OKX public data works from restricted networks (#126, thanks @ruok808). Final-answer rendering also dropped the ugly full-width --- horizontal separators on CLI and Web: the system prompt now nudges the agent toward markdown tables and ## headings, the CLI renderer strips standalone HRs as defense-in-depth, and the chat bubble hides any <hr> that slips through (#139, thanks @sdwxm188).
2026-05-26 ✅ Research Goal lifecycle closure: Goal mode now behaves like a real task runner: Web UI goal creation creates or binds the session and immediately sends the kickoff turn; active goals can be continued, edited, cancelled, and completed across Web/API/CLI/MCP; and the agent advances from the current goal snapshot (criteria, evidence, claims, open items) instead of only the original prompt. Covered-but-still-active goals now enter an audit/status update instead of stopping silently, with regression coverage across backend, CLI, MCP, and frontend events.
2026-05-25 🧼 Cleaner chat UI + composer workflow: The Web UI keeps chat focused on the next action: upload, swarm, and research-goal modes now live behind the composer + menu instead of floating panels. Active context appears above the input as compact chips, and goal details expand inline only when needed. The UI also drops the old custom i18n layer in favor of direct English copy, gates Full Report cards to report-worthy runs, and hardens local dev startup/status reporting for reliable browser smoke tests.
2026-05-24 🎯 Research Goal runtime: Added a session-scoped Research Goal layer across backend, CLI, API/MCP, SSE, and Web UI. Goals persist claims, acceptance criteria, evidence rows, budgets, and completion policy; agent tools can create goals and attach evidence; /goal gives the CLI a direct entry point; REST/MCP expose goal snapshots and evidence writes; SSE keeps chat clients fresh. Follow-up audit fixes locked down verified evidence, blocked live-trading risk tiers through agent tools, wired CLI-created goals into later turns, cleaned goal ledgers on session deletion, enabled replay-all, and fixed cross-session frontend races.
2026-05-23 🖥️ Interactive CLI refresh: The terminal front door now opens with a larger Vibe-Trading banner, a cleaner prompt divider, prior-turn recap, post-run timing, and a Claude Code-style activity rail for live agent work. Tool calls, web/data fetches, shell-style actions, Markdown answers, and pipe tables render in a more readable transcript, while piped or non-TTY runs keep plain-text output for automation. Generated CLI screenshots are now treated as local artifacts instead of committed docs files, keeping the repository lighter.
2026-05-22 🧭 Swarm recovery + MCP keepalive: Swarm status now reconciles from live task files on every read, so API/MCP/SSE/list views recover crashed or stale runs instead of showing permanent running snapshots. run_swarm sends MCP progress heartbeats while it polls, with a fixed first frame of swarm_started run_id=<id> for clients that reconnect after transport drops; workers now heartbeat through LLM streaming, grounding fetches, and tool execution. The stale-run reaper uses per-run thresholds and derives terminal status from task states, SwarmTool no longer cancels a still-running team just because its wait budget elapsed, and MCP clients can call reap_stale_runs() for explicit cleanup. Today's DX pass also refreshed provider default models and aligned CI syntax checks with the new agent/cli/ package. 22 new regressions cover hydration, terminal recovery, stale reaping, keepalive cadence, env parsing, and heartbeat wiring; the full swarm/MCP suite is at 169 passed, 4 skipped.
2026-05-21 🧱 CLI package refactor: agent/cli.py (3216 LOC) split into the agent/cli/ package — interactive front door, slash router, Rich components, plus a _legacy.py shim that preserves every subcommand and re-exports every public symbol so cli.cmd_* / cli._INIT_ENV_PATH / cli.Confirm keep working. New FastAPI middleware serves the SPA shell when a browser opens /runs/{id} or /correlation directly; same narrowing landed in the Vite dev proxy. Version unified via cli/_version.py (no more drift between --version and the banner), python -m cli restored via __main__.py, and the chat-gate narrowed so chat --help / chat extra reach legacy argparse instead of being swallowed by the REPL.
2026-05-20 🔬 Hypothesis Registry CLI: Closes the CLI side of the Hypothesis Registry shipped backend-only on 2026-05-16. vibe-trading hypothesis list prints a Rich table or JSON (--status filter, --limit); show <id> renders a detail panel including linked run cards; invalidate <id> --note "..." flips status to rejected while preserving prior invalidation notes when --note is omitted. Honors the existing VIBE_TRADING_HYPOTHESES_PATH env override and adds a per-invocation --path. 22 new tests cover wiring, JSON output, status filter, limit, missing-id errors, and note persistence.
2026-05-19 ✨ Live tool feedback + graceful cancel: Long-running tools (backtests, large PDFs, swarm workers) no longer look frozen. Each tool call now emits a 3-second heartbeat plus structured per-stage progress — run_backtest shows phase markers (validate / simulate / finalize), read_document ticks per page on PDF or per sheet on Excel, read_url marks fetch / parse. The CLI Rich Live dashboard renders a Unicode spinner, ASCII progress bar, ETA, and stacks up to 3 parallel tools keyed by name; the frontend chat ships a new ToolProgressIndicator with rAF-coalesced renders, ARIA role="status" + hidden native <progress> for screen readers, and a determinate ProgressRing SVG when total is known. First Ctrl+C during a CLI run now calls agent.cancel() for graceful exit (current step finishes, trace closes cleanly); a second within 2s force-quits. Reusable primitives extracted along the way: ProgressBar.tsx and lib/tools.ts (shared tool-name i18n).
2026-05-18 🧹 Cleanup pass + three latent bug fixes: CompositeEngine no longer misroutes bare Chinese-futures codes like RB2410 to GlobalFuturesEngine — _is_china_futures moved into a shared _market_hooks module with a case-normalized product table and a non-CN exchange guard, plus 9 new regression cases. Session FTS5 indexes now persist timestamps so cross-session search can sort by date; the same path also fixed a re-upsert that was wall-clocking every session's started_at. The Vite dev-mode proxy gained the missing /alpha entry so the AlphaZoo page resolves on npm run dev. tests/test_e2e_harness_v2.py (real-LLM e2e suite) is now gated behind VIBE_TRADING_RUN_LIVE_E2E=1 so CI no longer changes shape based on env-key presence. Ruff per-file-ignores added for the factor zoo (3783 → 0 F401 noise), frontend tsconfig enables noUnusedLocals / noUnusedParameters as regression guards, and 76 unused vw = vwap(...) boilerplate lines were dropped from gtja191 alphas. Net -918 LOC.
2026-05-17 🧬 Alpha Zoo v1 (0.1.8): 452 pre-built quant alphas across 4 zoos — qlib158 (Microsoft Qlib, Apache-2 attribution), alpha101 (Kakushadze 101 Formulaic Alphas, paper rewrite from arXiv:1601.00991), gtja191 (Guotai Junan 2014 short-horizon factor report), and academic (Fama-French 5 + Carhart price-based proxies). One-line CLI to bench any zoo on your universe: vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025. Ships with AST purity gate, lookahead-guard test, pytest-socket network kill-switch, per-zoo LICENSE.md, and a Developer Certificate of Origin (DCO) workflow for community PRs. Auto-rendered Alpha Library at vibetrading.wiki/alpha-library/ + research-lab post Which of the 191 GTJA alphas still work in 2026?.
2026-05-16 🧪 Research spine update: Added a backend Hypothesis Registry with create_hypothesis, update_hypothesis, link_backtest, and search_hypotheses; external-content readers now attach warning-only security_warnings; and Shadow Account scanning now uses deterministic OHLCV feature evaluation instead of the old calendar-phase stub.
2026-05-15 🪪 The run detail page now surfaces the Trust Layer run card alongside metrics and artifacts, completing the UI side of the run_card.json work landed on 2026-05-12. PersistentMemory.add() was also hardened on length, empty/whitespace-only names, and C0/C1 control bytes from the #108/#109/#110 triage (#112, thanks @Teerapat-Vatpitak).
2026-05-14 🌐 the public wiki is now live at vibetrading.wiki with docs, tutorials, Research Lab, and Alpha Library sections deployed through Cloudflare Pages. Persistent memory is also inspectable from the CLI via vibe-trading memory list/show/search/forget (#102, thanks @Teerapat-Vatpitak), and memory tokenization/slugs now support Thai, Arabic, Hebrew, and Cyrillic text (#104).
2026-05-13 🧭 Swarm runs now ground workers with fetched market data and cleaner persisted reports (#93, #84).
2026-05-12 🧾 Backtests now emit run_card.json and run_card.md alongside artifacts for reproducible research runs.
2026-05-11 🧭 Memory slugs, swarm accounting, and CLI preflight: Persistent memory now preserves CJK characters when generating file slugs, preventing silent filename collisions for Chinese/Japanese/Korean notes (#95, thanks @voidborne-d). Swarm run totals now prefer provider-reported token usage with the existing estimate fallback (#94, thanks @Teerapat-Vatpitak), and the CLI run UI gained a startup preflight check for common environment issues (#96, thanks @ykykj).
2026-05-10 🧱 Regression guardrails + run metadata: Memory recall now treats underscores as token boundaries, so snake_case saved memories such as mcp_wiring_test match natural-language queries like "mcp wiring" (#87, thanks @hp083625). The MCP server has a subprocess smoke test covering initialize → tools/list → tools/call to guard the first-call deadlock path (#86), while low-risk hardening landed for Windows path-sensitive tests, API best-effort exception handling, backtest run_dir allowed-root validation, and SwarmRun provider/model metadata (#88, #90, #91, #92, thanks @Teerapat-Vatpitak).
2026-05-09 🛡️ API path hardening + MCP server stability: API run/session routes now validate path IDs before lookup, rejecting malformed newline-containing parameters and pinning the behavior in the auth/security regression suite (#80, thanks @SJoon99). The MCP server now pre-warms the tool registry on the main thread before serving tools/call, avoiding a first-call deadlock in lazy tool discovery (#85, thanks @Teerapat-Vatpitak). The Vite dev proxy also honors VITE_API_URL for non-default backend targets (#82, thanks @voidborne-d).
2026-05-08 🧾 Tushare statement fields in filters: A-share daily backtests can now request PIT-safe financial statement fields through fundamental_fields, so signal engines can screen on income_total_revenue, income_n_income, balancesheet_total_hldr_eqy_exc_min_int, fina_indicator_roe, and similar table-prefixed columns after their announcement/disclosure dates (#76, thanks @mrbob-git). Follow-up hardening makes explicit statement-field requests fail fast if Tushare enrichment cannot run, instead of silently falling back to raw price bars (#77).
2026-05-07 📈 Tushare fundamentals + community triage: Added a point-in-time TushareFundamentalProvider contract for fundamental research workflows, with regression coverage for the project TUSHARE_TOKEN environment path (#74). Community triage also clarified that Vibe-Trading keeps rapid iteration focused on one UI language for now, avoids adding redundant search dependencies while DuckDuckGo-backed web_search is already bundled, and treats unofficial hosted deployments as untrusted places for API keys or data-source tokens.
2026-05-06 🚀 v0.1.7 released (Release notes, pip install -U vibe-trading-ai): Security-boundary hardening is now published on PyPI and ClawHub, covering safer API/read/upload/file/URL/generated-code/shell-tool/Docker defaults while keeping localhost CLI/Web UI workflows low-friction. This cycle also includes Web UI Settings, correlation heatmap, OpenAI Codex OAuth, A-share pre-ST filtering, interactive CLI UX, swarm preset inspection, dividend analysis, dev workflow polish, and audited frontend build-dependency floors. Thanks to the 0.1.7 contributors and to lemi9090 (S2W) for coordinated security validation.
2026-05-05 🛡️ Security boundary follow-up: Completes the remaining security-boundary hardening around explicit CORS origins, Settings credential indicators, web URL reading, and Shadow Account code generation, with regression tests added for each path. Normal localhost CLI/Web UI workflows stay the same; remote deployments should continue using API_AUTH_KEY and explicit trusted origins.
2026-05-04 🖥️ Interactive CLI UX + CI cleanup: Interactive mode now has a live bottom status bar showing provider/model, session duration, last-run latency, and cumulative tool-call stats, plus prompt history navigation and cursor editing with arrow keys via prompt_toolkit (#69). The CLI still falls back to Rich prompts when prompt_toolkit or a TTY is unavailable. CI path expectations were also aligned with the hardened file-import sandbox and cross-platform /tmp resolution, returning main to green (bb67dc7).
2026-05-03 🛡️ Security hardening patch: Tightens default API authentication for non-local deployments, protects sensitive run/session/swarm reads, restricts upload and local file-reading boundaries, gates shell-capable tools by entry point, validates generated strategy loading before import, and runs the Docker image as a non-root user with a localhost-only published port by default. Local CLI and localhost Web UI workflows remain low-friction; remote API/Web deployments should set API_AUTH_KEY.
2026-05-02 🧭 Dividend analysis + sharper roadmap: Added the dividend-analysis skill for income stocks, payout sustainability, dividend growth, shareholder yield, ex-dividend mechanics, and yield-trap checks, pinned by bundled-skill regression tests. The public roadmap now focuses on upcoming work: Research Autopilot, Data Bridge, Options Lab, Portfolio Studio, Alpha Zoo, Research Delivery, Trust Layer, and Community sharing.
2026-05-01 🔥 Correlation heatmap + OpenAI Codex OAuth + A-share pre-ST filter: New correlation dashboard/API computes rolling return correlations and renders an ECharts heatmap for portfolio and symbol analysis (#64). OpenAI Codex provider support now uses ChatGPT OAuth via vibe-trading provider login openai-codex, with Settings metadata and adapter regression tests (#65). Added and hardened the ashare-pre-st-filter skill for A-share ST/*ST risk screening, including Sina penalty relevance filtering so securities-account mentions do not inflate E2 counts (#63).
2026-04-30 ⚙️ Web UI Settings + validation CLI hardening: New Settings page for LLM provider/model, base URL, reasoning effort, and data source credentials, backed by local/auth-protected settings APIs and data-driven provider metadata (#57). Also hardens python -m backtest.validation <run_dir> so missing, blank, malformed, non-existent, and non-directory inputs fail with clear operator-facing messages before validation starts (#60).
2026-04-28 🚀 v0.1.6 released (pip install -U vibe-trading-ai): Fixes vibe-trading --swarm-presets returning empty after pip install / uv tool install (#55) — preset YAMLs now bundled inside the src.swarm package and pinned by a 6-test regression suite. Plus AKShare loader correctly routes ETFs (510300.SH) and forex (USDCNH) to the right endpoints with hardened registry fallback. Rolls up everything since v0.1.5: benchmark comparison panel, /upload streaming + size limits, Futu loader (HK + A-share), vnpy export skill, security hardening, frontend lazy loading (688KB → 262KB).
2026-04-27 📊 Benchmark panel + upload safety: Backtest output now ships a benchmark comparison panel (ticker / benchmark return / excess return / information ratio) with yfinance-backed resolution for SPY, CSI 300, etc. (#48). Plus /upload streams the request body in 1 MB chunks and aborts past MAX_UPLOAD_SIZE, bounding memory under oversized/malformed clients (#53) — pinned by a 4-case regression suite.
2026-04-22 🛡️ Hardening + new integrations: Path containment enforced in safe_path + journal/shadow tool sandbox, MANIFEST.in ships .env.example / tests / Docker files in sdist, route-level lazy loading shrinks frontend initial bundle 688KB → 262KB. Plus Futu data loader for HK & A-share equities (#47) and vnpy CtaTemplate export skill (#46).
2026-04-21 🛡️ Workspace + docs: Relative run_dir normalized to active run dir (#43). README usage examples (#45).
2026-04-20 🔌 Reasoning + Swarm: reasoning_content preserved across all ChatOpenAI paths — Kimi / DeepSeek / Qwen thinking work end-to-end (#39). Swarm streaming + clean Ctrl+C (#42).
2026-04-19 📦 v0.1.5: Published to PyPI & ClawHub. python-multipart CVE floor bump, 5 new MCP tools wired (analyze_trade_journal + 4 shadow-account tools), pattern_recognition → pattern registry fix, Docker dep parity, SKILL manifest synced (22 MCP tools / 71 skills).
2026-04-18 👥 Shadow Account: Extract your strategy rules from a broker journal → backtest the shadow across markets → 8-section HTML/PDF report showing exactly how much you leave on the table (rule violations, early exits, missed signals, counterfactual trades). 4 new tools, 1 skill, 32 tools total. Trade Journal + Shadow Account samples now live in the web UI welcome screen.
2026-04-17 📊 Trade Journal Analyzer + Universal File Reader: Upload broker exports (同花顺/东财/富途/generic CSV) → auto trading profile (holding days, win rate, PnL ratio, drawdown) + 4 bias diagnostics (disposition effect, overtrading, chasing momentum, anchoring). read_document now dispatches PDF, Word, Excel, PowerPoint, images (OCR), and 40+ text formats behind one unified call.
2026-04-16 🧠 Agent Harness: Persistent cross-session memory, FTS5 session search, self-evolving skills (full CRUD), 5-layer context compression, read/write tool batching. 27 tools, 107 new tests.
2026-04-15 🤖 Z.ai + MiniMax: Z.ai provider (#35), MiniMax temperature fix + model update (#33). 13 providers.
2026-04-14 🔧 MCP Stability: Fixed backtest tool Connection closed error on stdio transport (#32).
2026-04-13 🌐 Cross-Market Composite Backtest: New CompositeEngine backtests mixed-market portfolios (e.g. A-shares + crypto) with shared capital pool and per-market rules. Also fixed swarm template variable fallback and frontend timeout.
2026-04-12 🌍 Multi-Platform Export: /pine exports strategies to TradingView (Pine Script v6), TDX (通达信/同花顺/东方财富), and MetaTrader 5 (MQL5) in one command.
2026-04-11 🛡️ Reliability & DX: vibe-trading init .env bootstrap (#19), preflight checks, runtime data-source fallback, hardened backtest engine. Multi-language README (#21).
2026-04-10 📦 v0.1.4: Docker fix (#8), web_search MCP tool, 12 LLM providers, akshare/ccxt deps. Published to PyPI and ClawHub.
2026-04-09 📊 Backtest Wave 2: ChinaFutures, GlobalFutures, Forex, Options v2 engines. Monte Carlo, Bootstrap CI, Walk-Forward validation.
2026-04-08 🔧 Multi-market backtest with per-market rules, Pine Script v6 export, 5 data sources with auto-fallback.

</details>

✨ Key Features

<div align="center"> <table align="center" width="94%" style="width:94%; margin-left:auto; margin-right:auto;"> <tr> <td align="center" width="50%" valign="top"> <img src="assets/feature-self-improving-trading-agent.png" height="130" alt="Self-improving trading agent"/><br> <h3>🔍 Self-Improving Trading Agent</h3> <div align="left"> • Natural-language market research<br> • Strategy drafts and file/web analysis<br> • Memory-backed workflows </div> </td> <td align="center" width="50%" valign="top"> <img src="assets/feature-multi-agent-trading-teams.png" height="130" alt="Multi-agent trading teams"/><br> <h3>🐝 Multi-Agent Trading Teams</h3> <div align="left"> • Investment, quant, crypto, and risk teams<br> • Streaming progress and persisted reports<br> • Workers grounded with fetched market data </div> </td> </tr> <tr> <td align="center" width="50%" valign="top"> <img src="assets/feature-cross-market-data-backtesting.png" height="130" alt="Cross-market data and backtesting"/><br> <h3>📊 Cross-Market Data & Backtesting</h3> <div align="left"> • A/HK/US equities, crypto, futures, and forex<br> • Data fallback and composite backtests<br> • PIT data, validation, and run cards </div> </td> <td align="center" width="50%" valign="top"> <img src="assets/feature-shadow-account.png" height="130" alt="Shadow Account"/><br> <h3>👥 Shadow Account</h3> <div align="left"> • Broker-journal behavior diagnostics<br> • Rule-based Shadow Account comparisons<br> • Exportable audit reports and strategy code </div> </td> </tr> </table> </div>

💡 What Is Vibe-Trading?

Vibe-Trading is an open-source research workspace for turning finance questions into runnable analysis. It connects natural-language prompts to market-data loaders, strategy generation, backtest engines, reports, exports, and persistent research memory.

It is designed for research, simulation, and backtesting — and, when you choose, autonomous trading through a broker you authorize yourself (e.g. Robinhood Agentic Trading). It holds no funds and never trades outside the limits you set, and you can halt it instantly.

✨ What You Can Do

Task	Output
Ask a trading question	Market research with tools, data, documents, and reusable session context.
Backtest a strategy idea	Strategy code, metrics, benchmark context, validation artifacts, and run cards.
Review your own trades	Broker-journal parsing, behavior diagnostics, rule extraction, and Shadow Account comparisons.
Improve repeated research	Persistent memory and editable skills turn useful routines into reusable workflows.
Run analyst teams	Multi-agent research reviews for investment, quant, crypto, macro, and risk workflows.
Ship usable artifacts	Reports, TradingView Pine Script, TDX, MetaTrader 5, MCP tools, and later research sessions.
Bench a pre-built alpha zoo	One-line IC + alive/reversed/dead categorisation across 452 alphas (Qlib 158 + Kakushadze 101 + GTJA 191 + FF5 + Carhart) on your universe.

⚡ Quick Example

pip install vibe-trading-ai

# Natural-language research
vibe-trading run -p "Backtest a BTC-USDT 20/50 moving-average strategy for 2024, summarize return and drawdown, then export the report"

# Bench a pre-built alpha zoo (one line)
vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025 --top 20

vibe-trading --upload trades_export.csv
vibe-trading run -p "Analyze my trading behavior, extract my shadow strategy, and compare it with my actual trades"

👥 Shadow Account

Shadow Account starts from your own trading records instead of a generic strategy template.

Upload a broker export, let the agent summarize your behavior, then compare the actual trading path with a rule-based shadow strategy.

Step	Agent output
1. Read your journal	Parses broker exports from 同花顺, 东方财富, 富途, and generic CSV formats.
2. Profile your behavior	Holding days, win rate, PnL ratio, drawdown, disposition effect, overtrading, momentum chasing, and anchoring checks.
3. Extract your rules	Turns recurring entries/exits into an explicit strategy profile instead of a hand-wavy summary.
4. Run the shadow	Backtests the extracted rules and highlights rule breaks, early exits, missed signals, and alternative trade paths.
5. Deliver the report	Produces an HTML/PDF report that can be inspected, archived, or refined in a later session.

vibe-trading --upload trades_export.csv
vibe-trading run -p "Analyze my trading behavior, extract my shadow strategy, and compare it with my actual trades"

🧪 Research Workflow

Most runs follow the same evidence path: route the request, load the right market context, execute tools, validate outputs, and keep the artifacts inspectable.

Layer	What happens
Plan	Selects the relevant finance skills, tools, data sources, and swarm preset when useful.
Ground	Pulls A-shares, HK/US equities, crypto, futures, forex, documents, or web context through the available loaders.
Execute	Generates testable strategy code, runs tools, and uses the matching backtest engine or analysis workflow.
Validate	Adds metrics, benchmark comparison, Monte Carlo, Bootstrap, Walk-Forward, run cards, and warnings where applicable.
Deliver	Returns reports, artifacts, tool traces, and exports for TradingView, TDX, MetaTrader 5, MCP clients, or later sessions.

🔩 Detailed Capabilities

Detailed inventories are folded below to keep the main README scannable. Open them when you want to inspect the available building blocks.

<details> <summary><b>Finance Skill Library</b> <sub>77 skills across 8 categories</sub></summary>

📊 77 specialized finance skills organized into 8 categories
🌐 Complete coverage from traditional markets to crypto & DeFi
🔬 Comprehensive capabilities spanning data sourcing to quantitative research

Category	Skills	Examples
Data Source	7	`data-routing`, `tushare`, `yfinance`, `okx-market`, `akshare`, `mootdx`, `ccxt`
Strategy	17	`strategy-generate`, `cross-market-strategy`, `technical-basic`, `candlestick`, `ichimoku`, `elliott-wave`, `smc`, `multi-factor`, `ml-strategy`
Analysis	17	`factor-research`, `macro-analysis`, `global-macro`, `valuation-model`, `earnings-forecast`, `credit-analysis`, `dividend-analysis`
Asset Class	9	`options-strategy`, `options-advanced`, `convertible-bond`, `etf-analysis`, `asset-allocation`, `sector-rotation`
Crypto	7	`perp-funding-basis`, `liquidation-heatmap`, `stablecoin-flow`, `defi-yield`, `onchain-analysis`
Flow	7	`hk-connect-flow`, `us-etf-flow`, `edgar-sec-filings`, `financial-statement`, `adr-hshare`
Tool	11	`backtest-diagnose`, `report-generate`, `pine-script`, `doc-reader`, `web-reader`, `vnpy-export`, `alpha-zoo`
Risk Analysis	1	`ashare-pre-st-filter`

</details> <details> <summary><b>Custom Data Source</b> <sub>register your own historical OHLCV loader</sub></summary>

Need a market or vendor we don't ship a loader for? Add your own historical-bar
loader and select it with source="<name>". The steps edit package source, so
run from a clone (pip install -e .).

Write the loader — create agent/backtest/loaders/<name>_loader.py with a
class that satisfies DataLoaderProtocol (duck-typed, no base class needed)
and is tagged with @register:

import pandas as pd
from backtest.loaders.registry import register

@register
class DataLoader:
    name = "mysource"            # the value you pass as source=
    markets = {"us_equity"}      # a_share/us_equity/hk_equity/crypto/futures/fund/macro/forex
    requires_auth = False

    def is_available(self) -> bool:
        return True              # token present? network reachable?

    def fetch(self, codes, start_date, end_date, *, interval="1D", fields=None):
        # return {symbol: DataFrame indexed by trade_date,
        #         columns: open, high, low, close, volume}
        ...

Register the module so @register fires — add
"backtest.loaders.<name>_loader" to _loader_modules in
agent/backtest/loaders/registry.py.
Allow the name through config validation — add "mysource" to
_VALID_SOURCES in agent/backtest/runner.py.
(Optional) slot it into a market's FALLBACK_CHAINS in registry.py so
source="auto" can reach it.
Use it — source="mysource" in a backtest config, or via the CLI / agent.

Real-time ticks / order-book depth are out of scope for loaders — the
loader layer is point-in-time historical bars only. Live market data flows
through the broker connectors instead: okx / binance / ccxt for crypto,
futu / tiger for equities.

</details> <details> <summary><b>Preset Trading Teams</b> <sub>29 swarm presets</sub></summary>

🏢 29 ready-to-use agent teams
⚡ Pre-configured finance workflows
🎯 Investment, trading & risk management presets

Preset	Workflow
`investment_committee`	Bull/bear debate → risk review → PM final call
`global_equities_desk`	A-share + HK/US + crypto researcher → global strategist
`crypto_trading_desk`	Funding/basis + liquidation + flow → risk manager
`earnings_research_desk`	Fundamental + revision + options → earnings strategist
`macro_rates_fx_desk`	Rates + FX + commodity → macro PM
`quant_strategy_desk`	Screening + factor research → backtest → risk audit
`technical_analysis_panel`	Classic TA + Ichimoku + harmonic + Elliott + SMC → consensus
`risk_committee`	Drawdown + tail risk + regime review → sign-off
`global_allocation_committee`	A-shares + crypto + HK/US → cross-market allocation

<sub>Plus 20+ additional specialist presets — run vibe-trading --swarm-presets to explore all.

</sub> </details> <details> <summary><b>Alpha Zoo</b> <sub>452 pre-built quant alphas across 4 zoos</sub></summary>

🧬 452 cross-sectional alphas, lookahead-banned at the operator layer
📈 IC + IR + alive/reversed/dead categorisation in one CLI command
🔬 AST purity gate + 300-row lookahead sentinel test + pytest-socket network kill-switch
📦 Apache-2 attribution for Qlib; per-zoo LICENSE.md declaring formulas as mathematical content
🤝 Developer Certificate of Origin (DCO) sign-off workflow for community PRs

Zoo	Count	Source	License
qlib158	154	Microsoft Qlib `Alpha158` (Apache-2.0, commit-pinned)	Apache-2.0
alpha101	101	Kakushadze (2015), "101 Formulaic Alphas", arXiv:1601.00991	Formulas are mathematical content
gtja191	191	Guotai Junan (2014), "191 Short-period Trading Alpha Factors"	Formulas are mathematical content
academic	6	Fama-French 5 + Carhart momentum (price-based proxies)	Public academic literature

Run vibe-trading alpha list to browse, vibe-trading alpha show <id> for formulas + source, vibe-trading alpha bench --zoo X --universe Y --period Z to score a whole zoo.

</details>

🎬 Demo

https://github.com/user-attachments/assets/4e4dcb80-7358-4b9a-92f0-1e29612e6e86

</td> <td width="50%">

https://github.com/user-attachments/assets/3754a414-c3ee-464f-b1e8-78e1a74fbd30

</td> </tr> <tr> <td colspan="2" align="center"><sub>☝️ Natural-language backtest & multi-agent swarm debate — Web UI + CLI</sub></td> </tr> </table> </div>

🚀 Quick Start

One-line install (PyPI)

pip install vibe-trading-ai

Then run a first research task:

vibe-trading init
vibe-trading run -p "Backtest a BTC-USDT 20/50 moving-average strategy for 2024 and summarize return and drawdown"

Package name vs commands: The PyPI package is vibe-trading-ai. Once installed, you get three commands:
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.)

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.)

vibe-trading init              # interactive .env setup
vibe-trading                   # launch CLI
vibe-trading serve --port 8899 # launch web UI
vibe-trading-mcp               # start MCP server (stdio)

Or choose a path

Path	Best for	Time
A. Docker	Try it now, zero local setup	2 min
B. Local install	Development, full CLI access	5 min
C. MCP plugin	Plug into your existing agent	3 min
D. ClawHub	One command, no cloning	1 min

Prerequisites

An LLM API key from any supported provider — or run locally with Ollama (no key needed)
Python 3.11+ for Path B
Docker for Path A
OpenAI Codex can also be used with ChatGPT OAuth: set LANGCHAIN_PROVIDER=openai-codex, then run vibe-trading provider login openai-codex. This does not use OPENAI_API_KEY.

Supported LLM providers: OpenRouter, OpenAI, DeepSeek, Gemini, Groq, DashScope/Qwen, Zhipu, Moonshot/Kimi, MiniMax, Xiaomi MIMO, Z.ai, Ollama (local). See .env.example for config.

Tip: All markets work without any API keys thanks to automatic fallback. yfinance (HK/US), OKX (crypto), mootdx (A-shares, TCP-direct, no IP throttle), and AKShare (A-shares, US, HK, futures, forex) are all free. Tushare token is optional — mootdx is the preferred no-token A-share fallback, with AKShare as a broader backup.

Path A: Docker (zero setup)

git clone https://github.com/HKUDS/Vibe-Trading.git
cd Vibe-Trading
cp agent/.env.example agent/.env
# Edit agent/.env — uncomment your LLM provider and set API key
docker compose up --build

Open http://localhost:8899. Backend + frontend in one container.

Docker publishes the backend on 127.0.0.1:8899 by default and runs the app as a non-root container user. If you intentionally expose the API beyond your own machine, set a strong API_AUTH_KEY and send Authorization: Bearer <key> from clients.

[!NOTE]
Using Ollama with Docker: the container reaches a host-side Ollama via host.docker.internal, not localhost (inside the container localhost is the container itself). docker-compose.yml defaults OLLAMA_BASE_URL to http://host.docker.internal:11434; export OLLAMA_BASE_URL (or set it in a top-level .env) to point elsewhere. This relies on the host-gateway mapping in extra_hosts, which requires Docker Engine ≥ 20.10 / Compose v2 (provided automatically on Docker Desktop).

Your data survives updates: persistent memory, the cross-session search index, user-created skills, shadow accounts, broker connector config, web sessions, backtest runs, swarm history, and uploads all live in named Docker volumes, so git pull && docker compose up --build keeps them. They are deleted only by docker compose down -v.

Path B: Local install

git clone https://github.com/HKUDS/Vibe-Trading.git
cd Vibe-Trading
python -m venv .venv

# Activate
source .venv/bin/activate          # Linux / macOS
# .venv\Scripts\Activate.ps1       # Windows PowerShell

pip install -e .
cp agent/.env.example agent/.env   # Edit — set your LLM provider API key
vibe-trading                       # Launch interactive TUI

<details> <summary><b>Start web UI (optional)</b></summary>

# Terminal 1: API server
vibe-trading serve --port 8899

# Terminal 2: Frontend dev server
cd frontend && npm install && npm run dev

Open http://localhost:5899. The frontend proxies API calls to localhost:8899.

Production mode (single server):

cd frontend && npm run build && cd ..
vibe-trading serve --port 8899     # FastAPI serves dist/ as static files

[!NOTE]
vibe-trading serve binds 0.0.0.0 and is loopback-only by default: opening the UI on the same machine (http://localhost:8899) works with zero config. If you browse from another machine, a VM host, or a phone on your LAN, sensitive endpoints return 403 and the chat shows "Remote API access requires an API key" — set a strong API_AUTH_KEY in agent/.env, restart, and enter the same key once in Settings. (Docker Desktop's host gateway: set VIBE_TRADING_TRUST_DOCKER_LOOPBACK=1 with the default 127.0.0.1 port bind.)

</details>

Path C: MCP plugin

See MCP Plugin section below.

Path D: ClawHub (one command)

npx clawhub@latest install vibe-trading --force

The skill + MCP config is downloaded into your agent's skills directory. See ClawHub install for details.

🧠 Environment Variables

Copy agent/.env.example to agent/.env and uncomment the provider block you want. Each provider needs 3-4 variables:

Variable	Required	Description
`LANGCHAIN_PROVIDER`	Yes	Provider name (`openrouter`, `deepseek`, `groq`, `ollama`, etc.)
`<PROVIDER>_API_KEY`	Yes*	API key (`OPENROUTER_API_KEY`, `DEEPSEEK_API_KEY`, etc.)
`<PROVIDER>_BASE_URL`	Yes	API endpoint URL
`LANGCHAIN_MODEL_NAME`	Yes	Model name (e.g. `deepseek-v4-pro`)
`TUSHARE_TOKEN`	No	Tushare Pro token for A-share data (falls back to AKShare)
`TIMEOUT_SECONDS`	No	LLM call timeout, default 120s
`API_AUTH_KEY`	Recommended for network deployments	Bearer token required when the API is reachable from non-local clients
`VIBE_TRADING_ENABLE_SHELL_TOOLS`	No	Explicit opt-in for shell-capable tools in remote API/MCP-SSE style deployments
`VIBE_TRADING_ALLOWED_FILE_ROOTS`	No	Extra comma-separated roots for document and broker-journal imports
`VIBE_TRADING_ALLOWED_RUN_ROOTS`	No	Extra comma-separated roots for generated-code run directories

<sub>* Ollama does not require an API key. OpenAI Codex uses ChatGPT OAuth and stores tokens via oauth-cli-kit, not in agent/.env.</sub>

Free data (no key needed): A-shares via AKShare, HK/US equities via yfinance, crypto via OKX, 100+ crypto exchanges via CCXT. The system automatically selects the best available source for each market.

🎯 Recommended Models

Vibe-Trading is a tool-heavy agent — skills, backtests, memory, and swarms all flow through tool calls. Model choice directly decides whether the agent uses its tools or fabricates answers from training data.

Tier	Examples	When to use
Best	`anthropic/claude-opus-4.7`, `anthropic/claude-sonnet-4.6`, `openai/gpt-5.5-pro`, `google/gemini-3.5-flash`	Complex swarms (3+ agents), long research sessions, paper-grade analysis
Sweet spot (default)	`deepseek-v4-pro`, `deepseek/deepseek-v4-pro`, `x-ai/grok-4.20`, `z-ai/glm-5.1`, `moonshotai/kimi-k2.6`, `qwen/qwen3-max-thinking`	Daily driver — reliable tool-calling at ~1/10 the cost
Avoid for agent use	`-nano`, `-flash-lite`, `*-coder-next`, small / distilled variants	Tool-calling is unreliable — the agent will appear to "answer from memory" instead of loading skills or running backtests

The default agent/.env.example ships with DeepSeek official API + deepseek-v4-pro; OpenRouter users can use deepseek/deepseek-v4-pro.

🖥 CLI Reference

The interactive TUI (vibe-trading) now uses a terminal-native transcript: a startup banner, prompt rule, previous-turn recap, live activity rail, Markdown/table rendering, and run timing all stay in the CLI. Non-interactive invocations such as vibe-trading run, pipes, and --json remain script-friendly.

vibe-trading               # interactive TUI
vibe-trading run -p "..."  # single run
vibe-trading serve         # API server
vibe-trading alpha list    # browse 452 pre-built alphas; show / bench / compare / export-manifest sub-commands available
vibe-trading provider doctor  # print redacted provider/proxy/package diagnostics

<details> <summary><b>Slash commands inside TUI</b></summary>

Command	Description
`/help`	Show all commands
`/skills`	List all 77 finance skills
`/swarm`	List 29 swarm team presets
`/swarm run <preset> [vars_json]`	Run a swarm team with live streaming
`/swarm list`	Swarm run history
`/swarm show <run_id>`	Swarm run details
`/swarm cancel <run_id>`	Cancel a running swarm
`/list`	Recent runs
`/show <run_id>`	Run details + metrics
`/code <run_id>`	Generated strategy code
`/pine <run_id>`	Export indicators (TradingView + TDX + MT5)
`/trace <run_id>`	Full execution replay
`/continue <run_id> <prompt>`	Continue a run with new instructions
`/sessions`	List chat sessions
`/settings`	Show runtime config
`/clear`	Clear screen
`/quit`	Exit

</details> <details> <summary><b>Single run & flags</b></summary>

vibe-trading run -p "Backtest BTC-USDT MACD strategy, last 30 days"
vibe-trading run -p "Analyze AAPL momentum" --json
vibe-trading run -f strategy.txt
echo "Backtest 000001.SZ RSI" | vibe-trading run

vibe-trading -p "your prompt"
vibe-trading --skills
vibe-trading --swarm-presets
vibe-trading --swarm-run investment_committee '{"topic":"BTC outlook"}'
vibe-trading --list
vibe-trading --show <run_id>
vibe-trading --code <run_id>
vibe-trading --pine <run_id>           # Export indicators (TradingView + TDX + MT5)
vibe-trading --trace <run_id>
vibe-trading --continue <run_id> "refine the strategy"
vibe-trading --upload report.pdf

vibe-trading alpha list --zoo gtja191 --limit 10
vibe-trading alpha show gtja191_171
vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025 --top 20

</details>

💡 Examples

Strategy & Backtesting

# Moving average crossover on US equities
vibe-trading run -p "Backtest a 20/50-day moving average crossover on AAPL for the past year, show Sharpe ratio and max drawdown"

# RSI mean-reversion on crypto
vibe-trading run -p "Test RSI(14) mean-reversion on BTC-USDT: buy below 30, sell above 70, last 6 months"

# Multi-factor strategy on A-shares
vibe-trading run -p "Backtest a momentum + value + quality multi-factor strategy on CSI 300 constituents over 2 years"

# After backtesting, export to TradingView / TDX / MetaTrader 5
vibe-trading --pine <run_id>

Bench a pre-built alpha zoo (one line):

vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2018-2025 --top 20

Browse the catalogue and inspect a single alpha:

vibe-trading alpha list --zoo gtja191 --theme reversal --limit 10
vibe-trading alpha show gtja191_171

Compose a multi-factor signal from the zoo (Python):

from src.skills.multi_factor.zoo_signal_engine import ZooSignalEngine
engine = ZooSignalEngine.from_zoo(["gtja191_171", "gtja191_111", "gtja191_163"])
panel = ...  # your wide OHLCV panel
signal = engine.compute_signal(panel)

Market Research

# Equity deep-dive
vibe-trading run -p "Research NVDA: earnings trend, analyst consensus, option flow, and key risks for next quarter"

# Macro analysis
vibe-trading run -p "Analyze the current Fed rate path, USD strength, and impact on EM equities and gold"

# Crypto on-chain
vibe-trading run -p "Deep dive BTC on-chain: whale flows, exchange balances, miner activity, and funding rates"

Swarm Workflows

# Bull/bear debate on a stock
vibe-trading --swarm-run investment_committee '{"topic": "Is TSLA a buy at current levels?"}'

# Quant strategy from screening to backtest
vibe-trading --swarm-run quant_strategy_desk '{"universe": "S&P 500", "horizon": "3 months"}'

# Crypto desk: funding + liquidation + flow → risk manager
vibe-trading --swarm-run crypto_trading_desk '{"asset": "ETH-USDT", "timeframe": "1w"}'

# Global macro portfolio allocation
vibe-trading --swarm-run macro_rates_fx_desk '{"focus": "Fed pivot impact on EM bonds"}'

Cross-Session Memory

# Save your preferences once
vibe-trading run -p "Remember: I prefer RSI-based strategies, max 10% drawdown, hold period 5–20 days"

# The agent recalls them in future sessions automatically
vibe-trading run -p "Build a crypto strategy that fits my risk profile"

Upload & Analyze Documents

# Analyze a broker export or earnings report
vibe-trading --upload trades_export.csv
vibe-trading run -p "Profile my trading behavior and identify any biases"

vibe-trading --upload NVDA_Q1_earnings.pdf
vibe-trading run -p "Summarize the key risks and beats/misses from this earnings report"

🌐 API Server

vibe-trading serve --port 8899

Method	Endpoint	Description
`GET`	`/runs`	List runs
`GET`	`/runs/{run_id}`	Run details
`GET`	`/runs/{run_id}/pine`	Multi-platform indicator export
`POST`	`/sessions`	Create session
`POST`	`/sessions/{id}/messages`	Send message
`GET`	`/sessions/{id}/events`	SSE event stream
`POST`	`/upload`	Upload PDF/file
`GET`	`/swarm/presets`	List swarm presets
`POST`	`/swarm/runs`	Start swarm run
`GET`	`/swarm/runs/{id}/events`	Swarm SSE stream
`GET`	`/alpha/list`	List alphas (filter by zoo/theme/universe)
`GET`	`/alpha/{alpha_id}`	Alpha metadata + source code
`POST`	`/alpha/bench`	Start a bench job (returns `job_id`)
`GET`	`/alpha/bench/{job_id}/stream`	SSE progress stream
`GET`	`/settings/llm`	Read Web UI LLM settings
`PUT`	`/settings/llm`	Update local LLM settings
`GET`	`/settings/data-sources`	Read local data source settings
`PUT`	`/settings/data-sources`	Update local data source settings

Interactive docs: http://localhost:8899/docs

Security defaults

For localhost development, vibe-trading serve keeps the browser workflow simple. For any non-local client, sensitive API endpoints require API_AUTH_KEY; use Authorization: Bearer <key> for JSON/upload requests. Browser EventSource streams are handled by the Web UI after you enter the same key once in Settings.

Shell-capable tools are available to local CLI and trusted localhost workflows, but are not exposed to remote API sessions unless you explicitly set VIBE_TRADING_ENABLE_SHELL_TOOLS=1. Document and journal readers are limited to upload/import roots by default; place files under agent/uploads, agent/runs, ./uploads, ./data, ~/.vibe-trading/uploads, or ~/.vibe-trading/imports, or add a dedicated directory through VIBE_TRADING_ALLOWED_FILE_ROOTS.

Web UI Settings

The Web UI Settings page lets local users update the LLM provider/model, base URL, generation parameters, reasoning effort, and optional market data credentials such as the Tushare token. Settings are persisted to agent/.env; provider defaults are loaded from agent/src/providers/llm_providers.json.

Settings reads are side-effect free: GET /settings/llm and GET /settings/data-sources never create agent/.env, and they only return project-relative paths. Settings reads and writes can expose credential state or update credentials/runtime environment, so they require API_AUTH_KEY when configured. If API_AUTH_KEY is unset for dev mode, settings access is accepted only from loopback clients.

🔌 MCP Plugin

Vibe-Trading exposes 36 MCP tools for any MCP-compatible client. Runs as a stdio subprocess — no server setup needed. Core research tools work with zero API keys for HK/US/crypto; trading connector tools use the selected connector profile, and run_swarm needs an LLM key.

<details> <summary><b>Claude Desktop</b></summary>

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "vibe-trading": {
      "command": "vibe-trading-mcp"
    }
  }
}

</details> <details> <summary><b>OpenClaw</b></summary>

Add to ~/.openclaw/config.yaml:

skills:
  - name: vibe-trading
    command: vibe-trading-mcp

For a first research-only smoke test, confirm tool discovery and run a market
data or backtest request before selecting a trading connector profile. Core
research tools can run without broker credentials; connector-backed trading_*
tools should be used only after you intentionally select and check a connector
profile. run_swarm requires an LLM key.

</details> <details> <summary><b>Cursor / Windsurf / other MCP clients</b></summary>

vibe-trading-mcp                  # stdio (default)
vibe-trading-mcp --transport sse  # SSE for web clients

</details>

MCP tools exposed (36): list_skills, load_skill, start_research_goal, get_research_goal, add_goal_evidence, update_research_goal_status, backtest, factor_analysis, analyze_options, pattern_recognition, read_url, read_document, web_search, write_file, read_file, list_swarm_presets, run_swarm, get_market_data, get_swarm_status, get_run_result, list_runs, reap_stale_runs, retry_run, analyze_trade_journal, extract_shadow_strategy, run_shadow_backtest, render_shadow_report, scan_shadow_signals, trading_connections, trading_select_connection, trading_check, trading_account, trading_positions, trading_orders, trading_quote, trading_history.

SWARM external MCP tools

run_swarm workers can call operator-approved tools from external MCP servers. Configure the server-side allowlist in VIBE_TRADING_SWARM_AGENT_CONFIG, ~/.vibe-trading/swarm-agent.json, or the fallback ~/.vibe-trading/agent.json; then list remote tools in a swarm preset using the local MCP wrapper name, such as mcp_internal_kb_search. Caller-provided variables stay template data only and cannot inject MCP URLs, commands, environment variables, or allowlist overrides.

<details> <summary><b>Install from ClawHub (one command)</b></summary>

npx clawhub@latest install vibe-trading --force

--force is required because the skill references external APIs, which triggers VirusTotal's automated scan. The code is fully open-source and safe to inspect.

This downloads the skill + MCP config into your agent's skills directory. No cloning needed.

Browse on ClawHub: clawhub.ai/skills/vibe-trading

</details> <details> <summary><b>OpenSpace — self-evolving skills</b></summary>

All 77 finance skills are published on open-space.cloud and evolve autonomously through OpenSpace's self-evolution engine.

To use with OpenSpace, add both MCP servers to your agent config:

{
  "mcpServers": {
    "openspace": {
      "command": "openspace-mcp",
      "toolTimeout": 600,
      "env": {
        "OPENSPACE_HOST_SKILL_DIRS": "/path/to/vibe-trading/agent/src/skills",
        "OPENSPACE_WORKSPACE": "/path/to/OpenSpace"
      }
    },
    "vibe-trading": {
      "command": "vibe-trading-mcp"
    }
  }
}

OpenSpace will auto-discover all 77 skills, enabling auto-fix, auto-improve, and community sharing. Search for Vibe-Trading skills via search_skills("finance backtest") in any OpenSpace-connected agent.

</details>

🔌 Loading Tools from External MCP Servers (MCP Client Mode)

This is the opposite direction from the MCP Plugin above.
The MCP Plugin lets other agents call Vibe-Trading tools.
This section lets the built-in Vibe-Trading agent call tools from your external MCP servers.

Quick start

Create ~/.vibe-trading/agent.json:

{
  "mcpServers": {
    "my-server": {
      "command": "uvx",
      "args": ["my-mcp-server"]
    }
  }
}

Run any CLI command — tools from ordinary external servers are automatically injected into the agent's registry after local tools:

vibe-trading run "use my-server to do X"

Official IBKR MCP read-only probe

Vibe-Trading can connect directly to Interactive Brokers' official remote MCP
endpoint in read-only mode. Add this to ~/.vibe-trading/agent.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": ["*"]
    }
  }
}

Then start the browser OAuth flow:

vibe-trading connector authorize ibkr-live-official-mcp-readonly

The wildcard is accepted only for IBKR's mcp.read probe. Authorizing this
profile confirms access to IBKR's official read scope; generic trading_account
and trading_positions calls stay disabled until IBKR publishes stable read
tool names that Vibe-Trading can map safely. A config that adds mcp.write must
pin an explicit tool allowlist and still passes through the live order guard.

If IBKR issues a pre-registered OAuth client, add clientId and clientSecret
inside auth.

Trading connectors: fastest path

For users who cannot wait for IBKR OAuth client approval, connect to a local
TWS or IB Gateway session. Credentials stay inside IBKR's desktop app; Vibe-
Trading only connects to 127.0.0.1 and exposes it as a connector profile.

Install the optional SDK:

pip install "vibe-trading-ai[ibkr]"

Open TWS paper trading or IB Gateway paper, enable API socket clients, then run:

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 local ports:

App	Paper	Live read-only
TWS	`7497`	`7496`
IB Gateway	`4002`	`4001`

The agent exposes connector-scoped tools named trading_connections,
trading_select_connection, trading_check, trading_account,
trading_positions, trading_orders, trading_quote, and trading_history.
Live-broker raw MCP tools are not registered directly as mcp_<broker>_*.
No IBKR order-placement tool is registered.

Config reference

Field	Type	Default	Description
`type`	string	inferred for stdio; required for HTTP	Omit for stdio, or set to `sse` / `streamableHttp` for URL-based servers.
`command`	string	required for stdio	Executable to spawn for stdio servers. Invalid for `sse` / `streamableHttp` servers.
`args`	array	`[]`	Command-line arguments for stdio servers only.
`env`	object	`{}`	Extra environment variables merged into the subprocess env for stdio servers only.
`url`	string	required for `sse` / `streamableHttp`	Remote SSE / streamable HTTP endpoint URL. Not used for stdio servers.
`headers`	object	`{}`	Extra HTTP headers for `sse` / `streamableHttp` servers only.
`toolTimeout`	number	`30`	Per-tool call timeout in seconds
`enabledTools`	array	`["*"]`	Tool allowlist. Use `["*"]` to expose all tools from the server

Config file location: ~/.vibe-trading/agent.json (JSON or YAML).

For URL-based transports, type is required. The agent no longer guesses between SSE and streamable HTTP from the URL suffix.

Per-session overrides (API)

When creating a session via the API you can pass mcpServers inside session.config to extend or override the global config for that session only:

{
  "config": {
    "mcpServers": {
      "research-server": {
        "command": "uvx",
        "args": ["research-mcp"],
        "enabledTools": ["search", "fetch"]
      }
    }
  }
}

Tool naming

Ordinary remote tools are exposed with stable names: mcp_<server>_<tool>.
Live-broker MCP servers stay behind the trading_* connector surface.

If two server names produce the same ASCII-safe local prefix (e.g. foo-bar and foo_bar both become foo_bar), a deterministic hash suffix is appended at the server-segment level so names remain unique. The operator receives a warning:

WARNING: Configured MCP server 'foo-bar' collides with another server after local name
normalization. Using local tool prefix 'mcp_foo_bar_<hash>_<tool>' to keep generated
tool names unique. Rename the server in agent config if you want a different prefix.

v1 limits

Limit	Detail
Transport	stdio, SSE, and streamable HTTP
Execution	serial only — MCP tools never enter the parallel readonly path
Surfaces	tools only (resources and prompts excluded in v1)
Hot reload	not supported — restart the process to pick up config changes
Swarm path	MCP tools are not available inside Swarm worker registries in v1

📁 Project Structure

<details> <summary><b>Click to expand</b></summary>

Vibe-Trading/
├── agent/                          # Backend (Python)
│   ├── cli/                        # CLI package — interactive TUI + subcommands
│   ├── api_server.py               # FastAPI server — runs, sessions, upload, swarm, SSE
│   ├── mcp_server.py               # MCP server — 36 tools for OpenClaw / Claude Desktop
│   │
│   ├── src/
│   │   ├── agent/                  # ReAct agent core
│   │   │   ├── loop.py             #   5-layer compression + read/write tool batching
│   │   │   ├── context.py          #   system prompt + auto-recall from persistent memory
│   │   │   ├── skills.py           #   skill loader (77 bundled + user-created via CRUD)
│   │   │   ├── tools.py            #   tool base class + registry
│   │   │   ├── memory.py           #   lightweight workspace state per run
│   │   │   ├── frontmatter.py      #   shared YAML frontmatter parser
│   │   │   └── trace.py            #   execution trace writer
│   │   │
│   │   ├── memory/                 # Cross-session persistent memory
│   │   │   └── persistent.py       #   file-based memory (~/.vibe-trading/memory/)
│   │   │
│   │   ├── tools/                  # 31 auto-discovered agent tools
│   │   │   ├── backtest_tool.py    #   run backtests
│   │   │   ├── remember_tool.py    #   cross-session memory (save/recall/forget)
│   │   │   ├── skill_writer_tool.py #  skill CRUD (save/patch/delete/file)
│   │   │   ├── session_search_tool.py # FTS5 cross-session search
│   │   │   ├── swarm_tool.py       #   launch swarm teams
│   │   │   ├── web_search_tool.py  #   DuckDuckGo web search
│   │   │   └── ...                 #   bash, file I/O, factor analysis, options, alpha browser + bench, etc.
│   │   │
│   │   ├── factors/                # Alpha Zoo — 452 alphas across 4 zoos
│   │   │   ├── base.py             #   19 operators (rank/scale/ts_*/delta/decay_linear/safe_div/vwap)
│   │   │   ├── registry.py         #   AST-only metadata load + lazy compute + sanity gates
│   │   │   ├── bench_runner.py     #   IC + alive/reversed/dead categorisation
│   │   │   └── zoo/                #   qlib158 (154) + alpha101 (101) + gtja191 (191) + academic (6)
│   │   │
│   │   ├── api/                    # FastAPI route modules
│   │   │   └── alpha_routes.py     #   /alpha/list, /alpha/{id}, /alpha/bench, SSE stream
│   │   │
│   │   ├── skills/                 # 77 finance skills in 8 categories (SKILL.md each)
│   │   ├── swarm/                  # Swarm DAG execution engine
│   │   │   └── presets/            #   29 swarm preset YAML definitions
│   │   ├── session/                # Multi-turn chat + FTS5 session search
│   │   └── providers/              # LLM provider abstraction
│   │
│   └── backtest/                   # Backtest engines
│       ├── engines/                #   7 engines + composite cross-market engine + options_portfolio
│       ├── loaders/                #   7 sources: tushare, okx, yfinance, akshare, mootdx, ccxt, futu
│       │   ├── base.py             #   DataLoader Protocol
│       │   └── registry.py         #   Registry + auto-fallback chains
│       └── optimizers/             #   MVO, equal vol, max div, risk parity
│
├── frontend/                       # Web UI (React 19 + Vite + TypeScript)
│   └── src/
│       ├── pages/                  #   Home, Agent, AlphaZoo, RunDetail, Compare, Correlation, Settings
│       ├── components/             #   chat, charts, layout
│       └── stores/                 #   Zustand state management
│
├── Dockerfile                      # Multi-stage build
├── docker-compose.yml              # One-command deploy
├── pyproject.toml                  # Package config + CLI entrypoint
├── tools/                          # Repo-level CI helpers
│   └── ci_grep_gates.sh            # rejects yaml.load / trademark / per-stock-data leaks
└── LICENSE                         # MIT

</details>

🏛 Ecosystem

Vibe-Trading is part of the HKUDS agent ecosystem:

<table> <tr> <td align="center" width="20%"> <a href="https://github.com/HKUDS/nanobot"><b>NanoBot</b></a><br> <sub>Ultra-Lightweight Personal AI Assistant</sub> </td> <td align="center" width="20%"> <a href="https://github.com/HKUDS/AI-Trader"><b>AI-Trader</b></a><br> <sub>Agent-Native Signal & Copy Trading Platform</sub> </td> <td align="center" width="20%"> <a href="https://github.com/HKUDS/CLI-Anything"><b>CLI-Anything</b></a><br> <sub>Making All Software Agent-Native</sub> </td> <td align="center" width="20%"> <a href="https://github.com/HKUDS/OpenSpace"><b>OpenSpace</b></a><br> <sub>Self-Evolving AI Agent Skills</sub> </td> <td align="center" width="20%"> <a href="https://github.com/HKUDS/ClawTeam"><b>ClawTeam</b></a><br> <sub>Agent Swarm Intelligence</sub> </td> </tr> </table>

🗺 Roadmap

We ship in phases. Items move to Issues when work begins.

Phase	Feature	Status
Trust Layer	Reproducible run cards are emitted and shown in Run Detail; v1 adds tool traces and citations	v0 Shipped
Hypothesis Registry	Durable research hypotheses with lifecycle status, data sources, skills, run-card links, and invalidation notes	Backend MVP Shipped
Research Autopilot	Manual-first research loop: hypothesis → deterministic backtest → evidence report	Next
Data Bridge	Bring-your-own data: local CSV/Parquet/SQL connectors with schema mapping	Planned
Options Lab	Vol surface, Greeks dashboard, payoff/scenario explorer	Planned
Portfolio Studio	Risk x-ray, constraints, turnover-aware optimizer, rebalance notes	Planned
Alpha Zoo	452 pre-built alphas (Qlib 158 + Kakushadze 101 + GTJA 191 + FF5 + Carhart) with one-line bench, agent integration, and Web UI	Shipped 0.1.8
Research Delivery	Scheduled briefs to Slack / Telegram / email-style channels	Planned
Community	Shareable skills, presets, and strategy cards	Exploring

Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Good first issues are tagged with good first issue — pick one and get started.

Want to contribute something bigger? Check the Roadmap above and open an issue to discuss before starting.

Contributors

Thanks to everyone who has contributed to Vibe-Trading!

Recent v0.1.9 cycle contributors and credits:

@toanalien — session JSONL crash-hardening (#147), graceful agent-loop exit at the iteration budget (#148), pre-flight validation for LLM-generated signal engines (#149), and cross-browser Full Report links (#150)
@ai7eam-dev — cross-market correlation timestamp alignment (#158) and the session running-status indicator + swarm retry (#159 → #160)
@shadowinlife — remote MCP servers over SSE/HTTP (#125) and operator-configured external MCP tools in swarm workers (#142)
@DoubleSky123 — configurable SSE idle timeout (#157)
@ArthurXi — IME Enter submission handling in the Web composer (#146)
@omcdecor-cyber — swarm DAG gating when an upstream task fails (#145)
@Soli22de — strict alpha-bench mode with a mandatory random control (#143)
@ruok808 — proxy-env support in the CCXT loader (#126)
@faizack — remote Ollama base-URL normalization (#129)
@fightZy — agent session history loading fix (#136)
@lcwSeven — short universe names in the alpha list endpoint (#137)
@Teerapat-Vatpitak — resolved .env-source logging (#124)
@warren618 / Haozhe Wu — connector-first broker profiles, the Robinhood Agentic Trading channel, Research Goal runtime, swarm reconcile + retry_run, the agent/cli refactor, the mootdx loader, and release integration

Disclaimer

Vibe-Trading is research and trading software. It is not investment advice, holds no funds, and runs no execution venue. Trading through a broker channel you explicitly authorize (e.g. Robinhood Agentic Trading) happens only within the limits you set and which you can halt at any time. This broker-trading capability is experimental and not verified by us against a real broker account — use it at your own risk. Past performance does not guarantee future results.

License

MIT License — see LICENSE

Star History

<p align="center"> ⭐ If <b>Vibe-Trading</b> helps your research, a star helps more people find it. </p>

<p align="center"> Thanks for visiting <b>Vibe-Trading</b> ✨ </p> <p align="center"> <img src="https://visitor-badge.laobi.icu/badge?page_id=HKUDS.Vibe-Trading&style=flat" alt="visitors"/> </p>

Repository

HKUDS

HKUDS/Vibe-Trading

Created

April 1, 2026

Updated

June 15, 2026

Language

Python

Vibe-Trading

📰 News

✨ Key Features

💡 What Is Vibe-Trading?

✨ What You Can Do

⚡ Quick Example

👥 Shadow Account

🧪 Research Workflow

🔩 Detailed Capabilities

🎬 Demo

🚀 Quick Start

One-line install (PyPI)

Or choose a path

Prerequisites

Path A: Docker (zero setup)

Path B: Local install

Path C: MCP plugin

Path D: ClawHub (one command)

🧠 Environment Variables

🎯 Recommended Models

🖥 CLI Reference

💡 Examples

Strategy & Backtesting

Market Research

Swarm Workflows

Cross-Session Memory

Upload & Analyze Documents

🌐 API Server

Security defaults

Web UI Settings

🔌 MCP Plugin

SWARM external MCP tools

🔌 Loading Tools from External MCP Servers (MCP Client Mode)

Quick start

Official IBKR MCP read-only probe

Trading connectors: fastest path

Config reference

Per-session overrides (API)

Tool naming

v1 limits

📁 Project Structure

🏛 Ecosystem

🗺 Roadmap

Contributing

Contributors

Disclaimer

License

Star History

Repository

Created

Updated

Language

Category