TradeStaq — AI Trading Intelligence

TradeStaq — AI Trading Intelligence: автоматическая торговля криптовалютой через ассистента

От сообществаРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

  • Создавать и генерировать торговые стратегии из описания на естественном языке
  • Запускать бэктест стратегий и сравнивать результаты
  • Деплоить торговых ботов на биржи и останавливать их
  • Следить за портфелем, позициями и историей сделок
  • Копировать сделки трейдеров из лидерборда

Какие данные видит

Ассистент видит портфель, позиции и историю сделок подключённого аккаунта TradeStaq, уровень доступа зависит от выданного OAuth-скоупа — от чтения до реальной торговли.

Нужен ли аккаунт

Не нужен: сервер работает без входа

TradeStaq даёт ассистенту доступ к автоматической торговле криптовалютой: создание и бэктест стратегий, деплой торговых ботов, копирование топ-трейдеров и мониторинг портфеля. Сервер работает с биржами Binance, Bybit, OKX, Bitget, Hyperliquid и другими через CCXT, по умолчанию включён режим бумажной торговли для безопасности.

Как подключить

Как подключить TradeStaq — AI Trading Intelligence к Claude

Адрес сервера, который нужно вставить в настройках Claude:

https://tradestaq-mcp--the-staq.run.tools

  1. Откройте Claude (сайт claude.ai или приложение для компьютера).
  2. Перейдите в Настройки → Коннекторы (в английском интерфейсе: Settings → Connectors).
  3. Нажмите Добавить пользовательский коннектор (Add custom connector).
  4. Вставьте адрес сервера, скопированный ниже, в поле URL удалённого MCP-сервера и нажмите Добавить.
  5. В чате нажмите + → Коннекторы и включите новый коннектор.

Пользовательские коннекторы доступны на тарифах Free, Pro, Max, Team и Enterprise. На Free можно добавить только один. В Team и Enterprise коннектор сначала добавляет владелец организации в Настройки организации → Коннекторы.

Авторизация

После нажатия Добавить откроется окно входа в сервис. Войдите под своим аккаунтом и подтвердите доступ. Пароль Claude не видит.

Как подключить TradeStaq — AI Trading Intelligence к ChatGPT

Адрес сервера, который нужно вставить в настройках ChatGPT:

https://tradestaq-mcp--the-staq.run.tools

  1. Откройте ChatGPT в браузере (chatgpt.com). Нужен тариф Plus, Pro, Business, Enterprise или Edu.
  2. Один раз включите режим разработчика: Настройки → Приложения → Дополнительные настройки → Режим разработчика (Settings → Apps → Advanced settings → Developer mode).
  3. Откройте Настройки → Коннекторы и нажмите Создать (Create).
  4. Заполните форму: Название (любое), Описание (одна фраза, что делает сервис), URL MCP-сервера (скопируйте ниже).
  5. В поле Аутентификация выберите OAuth, если сервис требует вход, иначе Нет. Нажмите Создать.
  6. В новом чате откройте + → Приложения/Коннекторы и включите коннектор.

Название раздела у OpenAI менялось (Connectors → Apps/Plugins). Если пункт называется иначе, ищите «режим разработчика» в настройках. В рабочих пространствах Business/Enterprise администратор должен разрешить пользовательские коннекторы.

Авторизация

При первом использовании ChatGPT откроет окно входа в сервис. Войдите и подтвердите доступ.

Как подключить TradeStaq — AI Trading Intelligence к Cursor

Адрес сервера, который нужно вставить в настройках Cursor:

https://tradestaq-mcp--the-staq.run.tools

Быстрый способ: нажмите кнопку Открыть в Cursor ниже, Cursor сам предложит добавить сервер.

Вручную:

  1. В Cursor откройте Settings → Cursor Settings → MCP и нажмите Add new global MCP server.
  2. Вставьте JSON, скопированный ниже, в открывшийся файл ~/.cursor/mcp.json (для одного проекта: .cursor/mcp.json в корне проекта).
  3. Сохраните файл. Сервер появится в списке MCP; при необходимости пройдите авторизацию по кнопке рядом с ним.

Авторизация

Если сервис требует вход, рядом с сервером в списке MCP появится кнопка авторизации.

Список инструментов сервера (34)

Технические названия из tools/list. Нужны только разработчикам.

loginLog in to TradeStaq with email and password and store the returned access token locally. Simple credential login for automation and headless use; for interactive users prefer authenticate (browser OAuth, where credentials never enter the chat). Credentials are sent directly to the TradeStaq API over HTTPS and are not persisted — only the returned token is saved.
authenticateLog in to TradeStaq via browser. Opens a login page in your browser — you authenticate there and the token is saved automatically. No credentials enter the chat. Scope controls what the agent can do: "mcp:read" (view-only research agents), "mcp:paper" (paper-trade bots, safe default — cannot touch live money), "mcp:live" (full access including live-money deploys, live exchange connections, and wallet charges). Scopes are hierarchical: live implies paper implies read. When in doubt, pick paper first — the server returns 403 insufficient_scope if the agent tries a live action, and the user can always re-authorize with a broader scope.
check_authPreflight check before invoking other tools. Returns the authenticated user, OAuth scope on the current token (mcp:read / mcp:paper / mcp:live), tier capabilities (allowLiveTrading, allowAIBuilder, allowNewsTrading, allowMcpServer), Strategy Lab wallet balance (for cost-charging tools like generate_strategy), and the OAuth client name/expiry. Agents should call this at the start of a workflow to pick the narrowest scope needed and to surface cost/balance to the user before committing to a charge. Response is cached server-side for 30s per token.
set_tokenManually store a TradeStaq JWT access token instead of logging in through the browser. Advanced / automation use only — most users should call authenticate (browser OAuth) or login (email + password) instead. The token is saved locally to ~/.tradestaq/mcp-config.json with an assumed 7-day expiry. Use this when you already hold a valid token, e.g. in CI or a headless environment.
connect_exchangeConnect a new exchange account via browser. Opens a page where you securely enter your exchange API keys. Keys never enter the chat.
logoutRemove the stored TradeStaq credentials from local config (~/.tradestaq/mcp-config.json), signing the user out. Also clears the cached OAuth client so the next authenticate registers cleanly — call this before re-authenticating with a different scope.
get_priceGet the current price of a trading pair, along with its 24h change and volume, from a connected exchange. Use it for a quick spot-price check or to confirm the market before sizing or placing a trade. Read-only — never places orders. For historical OHLCV data use get_candles.
get_candlesFetch OHLCV (open/high/low/close/volume) candlestick data for a trading pair from a connected exchange. Use it to analyze price action, compute indicators, or ground a trading decision in real market data before backtesting or deploying a strategy. Returns the candles plus the latest candle and the high/low range over the window. Read-only — never places orders. Get exchange IDs from list_exchanges.
list_exchangesList your connected exchange accounts with their IDs, platform names, and status.
create_paper_exchangeCreate a paper-trading exchange with a simulated balance. No API keys required. Paper exchanges let agents test strategies, deploy bots, and place trades without risking real money. Recommended starting point for first-time users and any scope=mcp:paper workflow. Requires OAuth scope mcp:paper or mcp:live. Session-cookie users (dashboard) can always call this.
search_marketsSearch for trading pairs on a specific exchange. Use list_exchanges to find your exchange IDs.
get_portfolioGet portfolio overview: total balance, exchanges, and active bots.
get_positionsGet all open trading positions with current PnL.
list_strategiesList available trading strategies — either the public marketplace or the user's own library. Use it to discover strategies to backtest or deploy, or to find strategy IDs for get_strategy, compare_strategies, and deploy_bot. Read-only.
get_strategyGet full details for a specific strategy by ID: description, market/timeframe, performance stats, rating, and code metadata. Use it to inspect a strategy before backtesting, deploying, or comparing. Read-only. Get IDs from list_strategies; use compare_strategies for side-by-side comparison and explain_strategy for a plain-English breakdown.
explain_strategyGet a plain-English explanation of a strategy: what it does, risk profile, best market conditions.
compare_strategiesCompare 2-5 strategies side by side on their key performance metrics: ROI, max drawdown, win rate, Sharpe ratio, rating, and active bot count. Use this to help a user choose between strategies from the marketplace or their own library before backtesting or deploying one. Read-only. Get strategy IDs from list_strategies.
create_strategySave a new trading strategy from existing TradeDroid strategy code to the user's library, so it can be backtested or deployed. Use this when you already have the code (hand-written or produced by generate_strategy). To create a strategy from a natural-language description instead of code, use generate_strategy. Returns the new strategy ID; validate it with what_if_backtest before deploying via deploy_bot.
generate_strategyGenerate a complete trading strategy from a natural-language description using AI (FORGE). Describe the idea and it writes runnable TradeDroid strategy code — no coding required — then saves it so you can validate with what_if_backtest and deploy with deploy_bot. The fastest path from idea to a deployable strategy. Note: AI generation is a paid, cost-bearing operation and can take up to ~2 minutes.
what_if_backtestRun a backtest on a strategy. Async, may take 30-120 seconds. Returns full performance metrics.
get_backtest_resultsCheck status/results of a previously started backtest.
export_backtestGet export links for a completed backtest. Returns CSV and PDF download URLs.
list_botsList all your trading bots with status and performance.
get_bot_statusGet detailed status, configuration, and live performance for a specific trading bot by ID. Returns its run status, the strategy/symbol/exchange it trades, whether it is paper or live, P&L, win rate, total trades, and risk config (leverage, stop-loss, take-profit). Use it to check how a deployed bot is doing. Read-only — to stop a bot use stop_bot. Get bot IDs from list_bots.
deploy_botDeploy a strategy as a trading bot. Defaults to paper trading for safety.
stop_botStop a running trading bot so it stops opening new positions. Any positions it currently holds stay open — close those separately with close_position. The bot and its config are kept and can be restarted later, so this is a reversible state change, not a delete. Check state first with get_bot_status; find bot IDs with list_bots.
export_bot_tradesExport a bot's trade history as structured data — every closed trade with entry/exit prices and P&L, plus a performance summary. Use it to review or report on how a specific bot has performed. Read-only. Get bot IDs from list_bots.
close_positionClose an open trading position by placing a market order — fully or partially. This moves real money when the position is live, so confirm intent with the user before calling. Find the tradeId, exchangeId, and symbol with get_positions. Set percentage below 100 for a partial close.
get_trade_historyGet the user's closed trade history across exchanges — entry/exit prices, P&L, and holding duration per trade, with pagination. Use it to review past trades or answer questions about specific fills. Read-only. For aggregate metrics (ROI, win rate, Sortino) use get_performance_metrics instead.
get_performance_metricsGet aggregate trading performance metrics over a time range: ROI, win rate, total P&L, and Sortino ratio. Use it to summarize how the user (or a subset of their trading) is performing. Read-only. For a list of individual trades use get_trade_history.
list_top_tradersBrowse the leaderboard of top-performing traders you can copy.
follow_traderSubscribe to copy a top trader's trades. WARNING: This commits capital to copy trading.
suggest_strategiesSuggest trading strategies matching your risk profile. Filters by risk tolerance, max drawdown, preferred assets, and minimum Sharpe ratio.
get_market_contextGet a market read for a symbol: trend direction, volatility level, and key support/resistance levels. Use it to inform a strategy or trade decision, or to ground market commentary in current conditions. Read-only — never places orders. Get exchange IDs from list_exchanges.