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Found 11 Skills
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
Quantitative trading expertise for DeFi and crypto derivatives. Use when building trading strategies, signals, risk management. Triggers on signal, backtest, alpha, sharpe, volatility, correlation, position size, risk.
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history. Emphasizes statistical arbitrage, signal processing, and rigorous scientific methodology. Use when developing alpha research, signal extraction, or systematic trading strategies.
Auxiliary development skill for Tongda Xin quantitative platform (TdxQuant). Use this skill when users mention "Tongda Xin", "TDX", "TdxQuant", "quantitative trading" or ask about the usage of the `tqcenter` module. It can help with environment setup, API calling, market data acquisition and trading strategy implementation.
TianQin SDK (tqsdk) - Python量化交易框架，用于期货/期权/股票交易策略开发、回测与实盘交易
Build trading systems in the style of D.E. Shaw, the pioneering computational finance firm. Emphasizes systematic strategies, rigorous quantitative research, and world-class technology infrastructure. Use when building research platforms, systematic trading strategies, or quantitative finance infrastructure.
Tiger Brokers OpenAPI Java SDK — complete skills for AI coding tools. Covers SDK setup, market data queries, stock/futures/options trading, real-time push subscriptions, account management, and strategy examples. Use when building Java trading applications, querying market data, placing orders, or integrating Tiger Brokers API. 老虎证券 OpenAPI Java SDK 完整技能集。涵盖 SDK 配置、行情查询、股票/期货/期权交易、实时推送订阅、账户管理、策略示例。适用于构建 Java 交易应用、查询行情数据、下单交易、或集成老虎 API。 用户提到以下关键词时自动使用 / Auto-activate on these keywords: 行情、报价、价格、K线、快照、买卖盘、深度、买入、卖出、下单、撤单、改单、交易、持仓、资金、账户、订单、委托、期权、期权链、到期日、期货、推送、订阅、选股、筛选、tigeropen、tiger API、Java SDK、quote、price、K-line、order、buy、sell、trade、position、asset、account、option、future、push、scanner
Test trading strategies on historical data to evaluate performance, risks, and profitability.
Optimize portfolio allocation using npx neural-trader mean-variance engine with risk constraints and rebalancing plan
This skill should be used when the user asks about writing trading strategies, backtesting, deploying Freqtrade bots, quantitative trading, strategy optimization, or any Freqtrade-related operation. Use when user says: 'write strategy', 'create strategy', 'backtest', 'deploy Freqtrade', 'deploy bot', 'quantitative trading', 'strategy optimization', 'hyperopt', 'live trading bot', '写策略', '创建策略', '回测', '部署Freqtrade', '部署机器人', '量化交易', '量化策略', '策略优化', '超参数优化', '实盘机器人'. IMPORTANT: ALWAYS use create_strategy to generate strategy files. NEVER write Python strategy code by hand. For crypto prices/charts, use aicoin-market. For exchange trading, use aicoin-trading. For Hyperliquid, use aicoin-hyperliquid.
Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.