agiprolabs

Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation

Portfolio-level risk controls, drawdown management, exposure limits, and circuit breakers for crypto trading

Technical analysis with 130+ indicators using pandas-ta for crypto market data

Trade sizing methods including fixed fractional, volatility-adjusted, Kelly criterion, and liquidity-constrained sizing

Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading

Kelly criterion optimal sizing with fractional variants, edge estimation, and practical application for crypto trading

Structured trade logging, performance review, behavioral pattern detection, and strategy attribution for systematic improvement

Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features

ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization

DEX orderflow analysis, trade classification, buyer/seller pressure, and microstructure signals for Solana tokens

Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions

Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading

Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators

Standardized template for defining trading strategies with entry rules, exit rules, position sizing, risk parameters, and performance criteria

Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones

High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics

C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib

Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling

Large wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokens

Portfolio-level performance measurement including return metrics, risk metrics, risk-adjusted ratios, rolling analysis, and HTML reports

[STUB] Options pricing models including Black-Scholes, binomial trees, Monte Carlo, implied volatility surfaces, and Greeks for crypto options

Traditional market microstructure concepts applied to crypto — order book dynamics, market making theory, price formation models, execution quality measurement, and CEX vs DEX structural differences

Market sentiment extraction from social media, news, and on-chain data including mention velocity, fear and greed indices, and influencer tracking

Execution cost estimation, slippage curve modeling, and optimal trade sizing based on AMM liquidity depth