Tutorial · 6 Steps

Bot Deployment

Deploy, monitor, and manage automated trading bots across multiple exchanges using natural language commands.

The Problem

Setting up trading bots typically requires navigating complex dashboards, configuring dozens of parameters, and constantly checking status screens. Managing multiple bots amplifies the complexity.

Workflow

1

Choose a strategy

list_strategies

Browse available strategies and find one that matches your trading goals and risk tolerance.

“Show me strategies with the highest win rate for futures”
2

Validate with a backtest

what_if_backtest

Run a quick backtest on your chosen pair and timeframe to confirm the strategy performs well in current conditions.

“Backtest Momentum Rider on BTC/USDT for the last 14 days”
3

Deploy the bot

deploy_bot

Launch the trading bot with your strategy, exchange, pair, position size, and leverage configured.

“Deploy Momentum Rider on Binance with BTC/USDT and $500”
4

Monitor performance

get_bot_status

Check on your bot anytime: current position, P&L, last signal, runtime, and error state.

“How is my BTC bot performing?”
5

Manage all bots

list_bots

Get a dashboard view of all your active bots. Stop, adjust, or redeploy as conditions change.

“Show me all my running bots”
6

Stop and close

stop_bot

When it is time to exit, stop the bot and close any open positions in one conversation.

“Stop my BTC bot and close the position”

Example Prompts

Try asking your AI assistant any of these:

“Deploy GhostRider on Bybit with $1000”
“Which of my bots is performing best?”
“Stop all bots that are in loss”
“Close 50% of my ETH position”
“Restart my BTC bot with higher leverage”

Tools Used in This Workflow

list_strategies

Browse all available trading strategies in the TradeStaq marketplace. Filter by market type (spot/fu

what_if_backtest

Run a quick "what-if" backtest to see how a strategy would have performed on historical data. Specif

deploy_bot

Deploy a new trading bot with a strategy on your connected exchange. Configure the trading pair, pos

list_bots

List all your trading bots with their current status (running, stopped, error), strategy, exchange,

get_bot_status

Get detailed status for a specific trading bot including current position, P&L, runtime, last signal

stop_bot

Stop a running trading bot. The bot will stop taking new trades but existing positions remain open u

close_position

Close an open trading position at market price. Use this for emergency exits, taking profits, or cle

Other Use Cases

Portfolio Monitoring

Track your crypto portfolio across multiple exchanges in real time using AI. Get balance summaries, position updates, and performance metrics through natural language.

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Strategy Backtesting

Test trading strategies against historical data before risking real capital. Compare strategies, analyze results, and refine your approach using AI.

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Copy Trading Setup

Find top-performing traders on the leaderboard and automatically mirror their trades on your exchange account using AI.

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AI Strategy Creation

Generate complete trading strategies from natural language descriptions using FORGE AI. Describe your idea, let AI write the code, then backtest and deploy.

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Start Bot Deployment with AI

Set up the TradeStaq MCP server and try this workflow in under a minute.

Get Started Free All Tools