TradeStaq — AI Trading Intelligence

Suggest trading strategies matching your risk profile. Filters by risk tolerance, max drawdown, preferred assets, and minimum Sharpe ratio.

Get 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.

Log 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…

Log 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 …

Preflight 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_…

Manually 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. Us…

Connect a new exchange account via browser. Opens a page where you securely enter your exchange API keys. Keys never enter the chat.

Remove 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.

Run a backtest on a strategy. Async, may take 30-120 seconds. Returns full performance metrics.

Check status/results of a previously started backtest.

Get export links for a completed backtest. Returns CSV and PDF download URLs.

List all your trading bots with status and performance.

Get 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 …

Deploy a strategy as a trading bot. Defaults to paper trading for safety.

Stop 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…

Export 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 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.

Browse the leaderboard of top-performing traders you can copy.

Subscribe to copy a top trader's trades. WARNING: This commits capital to copy trading.

Get 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.

Fetch 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 …

List your connected exchange accounts with their IDs, platform names, and status.

Create 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 m…

Search for trading pairs on a specific exchange. Use list_exchanges to find your exchange IDs.

Get portfolio overview: total balance, exchanges, and active bots.

Get all open trading positions with current PnL.

List 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 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 expla…

Get a plain-English explanation of a strategy: what it does, risk profile, best market conditions.

Compare 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 …

Save 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 genera…

Generate 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 depl…

Get 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 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.