Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones
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68 skills (repositories by agiprolabs) · sorted by popularity
Volatility estimation, forecasting, and regime classification using GARCH, EWMA, realized volatility, and volatility cones
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C-optimized technical analysis with 150+ functions and 61 candlestick pattern recognition functions via TA-Lib
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Large wallet monitoring, accumulation and distribution detection, and smart money signal generation for Solana tokens
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High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics
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Token holder distribution, concentration metrics, insider detection, and supply analysis for Solana tokens
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Real-time tax liability analysis for active crypto traders with proportional cost basis, gain classification, and tax-aware trading signals
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Behavioral classification, performance analysis, and trading style detection for Solana wallets
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Wash sale detection under 2025 US crypto rules with 61-day window monitoring, disallowed loss tracking, and safe re-entry countdown
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DeFi yield evaluation including fee APR, real vs nominal yield, net APY after costs, and yield sustainability analysis
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Tax-loss harvesting opportunity identification, scoring, and planning with wash sale compliance and annual carryforward tracking
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Professional trading charts including candlesticks, equity curves, drawdowns, correlation heatmaps, and return distributions
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Double-entry bookkeeping for trading operations with ledger management, P&L statements, balance sheets, and cash flow reporting
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Structured trade logging, performance review, behavioral pattern detection, and strategy attribution for systematic improvement
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Real-time Solana transaction and account streaming via Yellowstone gRPC (Geyser plugin)
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Standardized template for defining trading strategies with entry rules, exit rules, position sizing, risk parameters, and performance criteria
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Walk-forward validation framework for trading strategies and ML models with time-series-aware splits, overfit detection, and regime-aware validation
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Token supply dynamics, vesting analysis, inflation modeling, and valuation frameworks for crypto tokens
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Coordinated wallet cluster detection, wash trading identification, and fake activity analysis for Solana tokens
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Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types
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ML trading signal classifiers using XGBoost and LightGBM with walk-forward validation, SHAP feature importance, and threshold optimization
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Feature construction from market data for ML trading models including price, volume, on-chain, and microstructure features
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Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading
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Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
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Mean-reversion strategy tools including Hurst exponent, half-life estimation, z-score signals, ADF testing, and Ornstein-Uhlenbeck modeling
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