trading-skills

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

Solana token market data via Birdeye — prices, OHLCV, trades, token metadata, security checks, and trader activity

Broad crypto market data from CoinGecko covering 13,000+ tokens. Global market stats, historical price data going back years, exchange volumes, trending tokens, and category filters. Best for macro analysis and long-term historical data.

Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis

Wallet evaluation, monitoring, and copy-trade strategy design for Solana DEX trading

Cross-asset correlation analysis including rolling correlation, hierarchical clustering, tail dependence, and regime-dependent correlation

Multi-method cost basis computation including specific identification, FIFO, LIFO, HIFO, and proportional average cost with partial sell handling

Export trade history and tax calculations in formats compatible with Koinly, CoinTracker, CoinLedger, TokenTax, and IRS Form 8949

Crypto-native indicators including NVT ratio, exchange flow, funding rate signals, holder momentum, and smart money flow

Free DeFi analytics across all chains — TVL, token prices, DEX volumes, fees/revenue, stablecoins, and bridges

Solana DEX swap execution via Jupiter aggregator including quoting, transaction building, signing, and confirmation

AMM pool mechanics comparison across Raydium, Orca, and Meteora including fee structures, pool types, creation patterns, and volume efficiency

Free, no-auth multi-chain DEX pair data — prices, volume, liquidity, transactions, and token profiles

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

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

[STUB] Bond pricing, yield curves, duration and convexity analysis, and DeFi lending rate modeling

Enhanced Solana RPC with DAS API, parsed transactions, webhooks, and priority fee estimation via Helius

Impermanent loss calculation, modeling, and breakeven analysis for AMM liquidity provision across pool types

Jito bundle submission for MEV protection on Solana — bundle building, tip strategies, block engine endpoints, and landing rate optimization

Kalshi exchange mechanics — RSA-PSS auth, order schema, YES/NO orderbook convention, WebSocket, and endpoint surface. Market-type-agnostic shared layer for all Kalshi skills.

Kalshi daily and hourly range markets on crypto prices (BTC, ETH) and equity indices (S&P 500, Nasdaq-100) — bracket structure, Gaussian P(YES) modeling on price/vol, close-offset decision timing, longshot-sell edge with honest evidence bounds

Daily temperature high/low bracket and threshold contracts on Kalshi — contract structure, forecast→P(YES) map, settlement rules, cross-venue divergences, and weather-specific pitfalls

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

DEX liquidity depth assessment, slippage estimation, and pool composition analysis for Solana tokens

AMM liquidity provision mathematics including constant-product, concentrated liquidity, price impact, and LP share calculations

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

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

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

MEV exposure assessment, sandwich attack detection, and protection strategies for Solana DEX trading

Market data preparation including OHLCV resampling, gap handling, anomaly detection, normalization, and multi-source merging

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

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

Polymarket exchange mechanics — on-chain Polygon CTF, Gamma/CLOB/Data APIs, EIP-712 auth, identifier model, WebSocket, settlement, and geo/KYC constraint

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

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

Use when building, backtesting, operating, or scaling automated trading on prediction markets (Kalshi or similar) — evidence-gated methodology, live-execution safety rails, and falsification protocols distilled from a real live-money campaign

Venue- and market-type-agnostic strategy, sizing, and backtesting layer for binary prediction markets (Kalshi, Polymarket, ForecastEx). Covers the durable edge thesis, fee-aware selection, fractional-Kelly sizing, and leak-free validation methodology.

PumpFun bonding curve math, graduation mechanics, instruction parsing, and PumpSwap migration

Self-hosted Solana DEX aggregator by SolanaTracker — multi-hop routing across 25+ DEXes, WebSocket streaming, Yellowstone Jet TPU submission, no rate limits

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

[STUB] Regulatory report generation including IRS Form 8949, Schedule D, FinCEN FBAR, and state-specific crypto reporting requirements

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

Reinforcement learning for trade execution optimization including order splitting, adaptive timing, and impact minimization

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

Pre-execution Solana transaction streaming via Jito ShredStream, Shyft RabbitStream, and Triton Deshred

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

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

Direct Solana blockchain interaction via JSON-RPC — account lookups, token balances, transaction submission, and program queries

Solana transaction construction including instruction building, account resolution, compute budget, priority fees, and versioned transactions

Solana token data, PnL, risk scores, 1-second OHLCV, wallet analytics, and self-hosted swap execution via Raptor