agent-trading-botAI-powered trading bot framework for OpenClaw. Connects to crypto exchanges (Binance, Hyperliquid, Bluefin) and prediction markets (Polymarket, Kalshi) via A...
Install via ClawdBot CLI:
clawdbot install stevojarvisai-star/agent-trading-botGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://getagentiq.aiAudited Apr 17, 2026 · audit v1.0
Generated Sep 22, 2026
A retail investor wants to automate dollar-cost averaging into BTC and ETH to avoid emotional trading and timing the market. They set up a paper trading period to validate the strategy, then enable live mode with strict position limits and stop-losses. The bot executes recurring buys and provides a risk dashboard showing unrealized P&L.
A small quant fund uses the framework to deploy funding rate arbitrage and momentum strategies across Binance and Hyperliquid. They backtest strategies against historical data, configure max drawdown circuit breakers, and run live execution with a kill switch for compliance. The team monitors exposure and Sharpe ratios in real time.
A political analyst builds a bot to trade on Polymarket and Kalshi during election cycles by following news sentiment and polling data. The bot uses custom strategies with RSI and momentum indicators to identify mispriced contracts. Risk limits prevent overexposure to any single event.
A trading desk exploits price discrepancies between Binance, Hyperliquid, and Bluefin by running grid and mean-reversion strategies simultaneously. The framework manages API connections, position sizing, and stop-losses across venues. The kill switch is essential for halting all trades during exchange outages or flash crashes.
A trader wants to profit from sideways price action in SOL and AVAX using a grid trading strategy. They configure the bot to buy low and sell high within a predefined range, with paper trading to tune grid parameters. The risk dashboard tracks exposure and ensures maximum drawdown limits are respected.
Offer the trading bot as a hosted service where users subscribe monthly to access strategy templates, risk management tools, and exchange integrations. The platform handles API key management, backtesting, and live execution with a user-friendly dashboard. Revenue scales with the number of active traders.
Provide the bot for free but take a percentage of profits generated by successful live trades. Users only pay when they make money, aligning incentives and attracting traders hesitant about upfront costs. The framework tracks P&L per user and automatically calculates fees.
License the trading bot framework to crypto exchanges and brokerages that want to offer automated trading tools to their customers. The exchange integrates the bot under its own brand, with custom risk limits and supported assets. This provides a new revenue stream and increases trading volume for the exchange.
💬 Integration Tip
Set all exchange API keys as environment variables before running live commands, and test strategies in paper mode first to validate parameters. Start with conservative risk limits in ~/.openclaw/trading-config.json and use the kill switch during volatile market conditions.
Scored Sep 22, 2026
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