12 AI-Powered Modules
Every tool a quantitative trader needs: from strategy generation to risk management, data sourcing to portfolio composition.
AI Strategy Builders
Five distinct AI modes for generating, predicting, and managing trades with large language models.
Regime Detector & Entry Builder
Classify market conditions into Trend, Range, Consolidation, Oscillation, or Bespoke regimes, then generate regime-aware entry signals. Two-layer approach separates classification from entry logic.
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Trader AI Entry Agent
LLM evaluates every price bar with full context. Philosophy, indicators, and market state. For granular buy/sell/hold decisions on each candle.
AI Libero Interval Agent
LLM-assisted decisions can run at user-configured intervals instead of every bar. Cost and throughput depend on the selected provider, model, data, and workload.
AI Strategy Studio
Describe strategies in natural language, iterate via chat, get executable Python code. Eliminates the programming barrier for traders with strong intuition.
Risk Management & Filtering
Defense-in-depth exit rules and market condition filters to protect capital.
Market Observer Filter
Block trades during unfavorable conditions using indicator-based observation rules. Separates "should I trade?" from "what trade?" to reduce false signals and drawdowns.
Indicator Exit & Risk Manager
Five-rule exit system: Circuit Breaker, Time Limit, Regime Detection, Drawdown Limit, and Indicator Guard. Multiple independent safety layers prevent catastrophic losses.
Data & Visualization
Multi-source market data with local caching and real-time backtest analytics.
Multi-Source Market Data
Community YFinance and Dukascopy routes, plus separately admitted providers and local Parquet data paths.
Real-Time Results Analytics
Live equity curves, trade logs, and 7-metric dashboard (PnL, Sharpe, MaxDD, Win Rate, Profit Factor) streaming as backtest executes. Discover failing strategies early.
C++ Backtest Engine
Local C++ executor with Apache Arrow data paths and reproducible backtest Artifacts. Performance claims are published per benchmark workload.
FreeSignal Composition
Transparent Community baselines and separately admitted advanced fusion and factor screening.
Quant Lab Alpha Factory
Community equal-weight combination and replay provide a transparent baseline. Advanced fusion, scoring, ranking, and model research are separately admitted.
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Уровень бесплатного пользования включает механизм бэктестинга C++, обнаружение режима и данные YFinance + Dukascopy: все, что вам нужно, чтобы начать масштабное строительство.