Trading Skills
Complete methodology guides for every trading skill in the CLI Trader toolkit. Each guide contains the full decision framework, formulas, worked examples, and validation checklists that AI trading agents use to execute strategies.
Foundational trading strategies — technical patterns, momentum systems, mean reversion, options structures, and market making.
Market Making
Covers automated market making on centralized and decentralized exchanges, including spread calculation, inventory management, Hummingbot configuration, concentrated liquidity on Uniswap v3/v4, and performance measurement.
Mean Reversion
Complete mean-reversion trading methodology covering z-score frameworks, Bollinger Band setups, pairs trading with cointegration testing, crypto funding rate arbitrage, and statistical validation using ADF tests and Hurst exponent.
Momentum Trading
Comprehensive momentum trading methodology covering breakout detection, trend following with moving average crossovers, ADX trend strength filters, crypto-specific momentum signals, and pyramiding strategies.
Options Strategies
A structured decision framework for selecting, analyzing, and managing options strategies including greeks analysis, implied volatility assessment, earnings plays, and position management for all market conditions.
Technical Analysis
Systematic framework for analyzing price action, computing indicators like RSI and MACD, identifying chart patterns, and generating high-confidence trade setups with multi-timeframe confluence scoring.
Research and signal generation — on-chain metrics, sentiment tracking, fundamental valuation, and signal quality frameworks.
Fundamental Analysis
Evaluates the intrinsic value of equities and crypto assets using financial statements, valuation ratios, tokenomics, macroeconomic context, and protocol-level metrics to determine whether an asset is undervalued, fairly priced, or overvalued.
On-Chain Analysis
Systematic framework for analyzing blockchain data to identify whale movements, exchange flows, smart money positioning, and protocol health metrics for predictive crypto trading signals.
Sentiment Analysis
A composite sentiment scoring framework that combines Fear and Greed index, funding rates, social signals, news sentiment, on-chain flows, and positioning data into actionable regime classifications and contrarian trading signals.
Signal Research
Systematic framework for discovering, constructing, evaluating, and combining predictive trading signals using quantitative methods including factor models, feature engineering, and overfitting prevention.
Position sizing, risk controls, order execution, and portfolio-level management.
Order Execution
Complete guide to placing and executing trades on CEX and DEX platforms, covering order type selection, TWAP/VWAP algorithmic execution, slippage management, MEV protection, and mandatory human confirmation gates.
Portfolio Management
A comprehensive framework for constructing, rebalancing, and monitoring multi-asset portfolios including allocation strategies like risk parity and Black-Litterman, correlation monitoring, performance attribution, and tax-loss harvesting awareness.
Risk Management
Mandatory gatekeeper framework for position sizing, stop-loss design, drawdown management, and portfolio-level risk controls that every trade must pass before execution.
Specialized skills for DeFi yield farming, Solana protocols, prediction markets, MEV arbitrage, and memecoin trading.
DeFi Yield
Complete framework for evaluating, entering, and managing DeFi yield positions including yield source classification, impermanent loss calculation, concentrated liquidity strategies, and smart contract risk assessment.
Memecoin Trading
A structured framework for evaluating, entering, and exiting memecoin positions with extreme discipline, covering rug pull detection, liquidity analysis, social signal parsing, and strict position sizing rules.
MEV & Arbitrage
Covers arbitrage identification and execution across centralized and decentralized exchanges, including cross-exchange arb, funding rate basis trades, DEX cyclic arbitrage, and MEV landscape awareness with honest profitability assessments.
Prediction Markets
A structured methodology for trading prediction markets including probability estimation, edge identification, Polymarket and Kalshi platform mechanics, Kelly criterion bet sizing, and cognitive bias detection for event contract trading.
Solana DeFi
A comprehensive guide to the Solana DeFi ecosystem covering Jupiter aggregator, Drift Protocol, Kamino Finance, Marinade staking, Raydium, Orca, transaction optimization, and token launch evaluation for AI trading agents.
Backtesting frameworks, agent safety guardrails, and multi-skill orchestration workflows.
Agent Trading Guardrails
Comprehensive safety architecture for autonomous trading agents covering risk limits, scoped API keys, kill switches, human-in-the-loop approval gates, multi-agent coordination, and recovery procedures.
Backtesting & Validation
Complete backtesting and strategy validation pipeline covering walk-forward analysis, bias detection, Freqtrade integration, paper trading methodology, performance metrics, and statistical significance testing for trading strategies.
Trading Orchestrator
Master routing skill that detects asset type, selects appropriate analysis skills, enforces the mandatory risk gate, and routes to execution, orchestrating all 20 trading skills into coherent workflows.
Looking for the Skills directory?
The Skills directory catalogs all available skills including third-party contributions. These Trading Skills pages contain the full methodology and decision frameworks from the CLI Trader project's 20 core trading skills.