Tradie Capital is an AI-driven trading research platform whose core positioning is to help users build, backtest, optimize, and monitor trading strategies, covering multiple asset classes such as stocks, options, cryptocurrencies, forex, and indices.
Main Capabilities
- AI Strategy Building: Users describe strategies in natural language, and the AI generates rules, backtests them on multi-year data, identifies weak points, and helps review market conditions.
- Chart-Native Signals: Trend band flips, adaptive trailing lines, event markers, support and resistance levels, and more are rendered directly on price charts, with touch counts and confidence levels attached.
- Scenario Analysis: Displays upside, expected, and downside paths through Monte Carlo simulation, and allows different scenarios to be compared on the chart.
- Options Analysis: Displays Greeks, payoff structure, probability of profit, and strike control in the same interface, supports 58 strategies, and requires no spreadsheets.
- Narrative Validation: Validates and classifies Twitter content and pins it to the corresponding price bar, helping users check narrative impact before trading.
- Fund Flow Signals: Renders exhaustion, capitulation, and reversal events directly on the chart, along with the trailing lines that generated these signals.
- Multi-Asset Coverage: Supports real-time data for US stocks and ETFs and over 5 years of historical backtesting data; full options chains and real Greeks; real-time data for major cryptocurrency pairs and 24/7 backtesting monitoring; major, minor, and exotic forex pairs and over 10 years of historical data; major global indices.
How to Use
Users do not need coding experience and can directly describe strategies in natural language. The platform provides workspace awareness, and the AI can read charts, indicators, and workspace context, then answer questions, build strategies, or run backtests, with no prompt engineering or menu operations required.
Use Cases
Suitable for active individual traders, serious active traders, and professional quantitative teams for strategy research, backtesting, optimization, and conditional monitoring of saved strategies.
Limitations
The official text does not provide specific pricing amounts, a quantitative explanation of backtesting accuracy, or a detailed list of supported technical indicators. Some features such as "over 5 years of historical data," "over 10 years of historical data," and "58 strategies" are only mentioned as existing, without more granular limitation details.
