Conviction
Describe a trading idea in natural language, backtest it, and turn it into an AI agent
Conviction is a platform for building, backtesting, and deploying AI trading agents. Users describe a trading strategy in natural language, which the platform converts into structured, rules-based trading logic. Strategies can be backtested against historical market data, run in paper trading against live market data, and then deployed to a connected brokerage. Unsupported brokerages can use an 'F' mode where the agent watches for the defined setup and notifies the user to place the trade manually.
Main capabilities include natural-language strategy building, one-click backtesting with returns, drawdown, Sharpe, win rate, and trade-level analysis, paper trading with live P&L and fills, and deployment to Robinhood, Alpaca, Public, E*Trade, and Trading 212. Signal sources include financial data, company filings, Reddit, Truth Social, TradingView, and world news. Strategies can include risk rules such as stop losses, max hold periods, and volatility exits, and can be edited conversationally. Agents operate within user-defined guardrails and can be paused, edited, or stopped at any time.
Conviction is aimed at traders who want to build and test strategies without writing code, including those without a quant background. The platform offers a free entry point, though specific plan tiers, editions, and pricing are not detailed on the provided pages.
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