Overview

本页由 scripts/generate_api_reference.py 自动生成。

把这里当作 Tradelearn 的 API 地图： - Guide：侧重“怎么用”，提供场景化示例和逻辑说明。 - Reference：侧重“是什么”，提供精确的类/函数签名、参数定义和 Docstrings。

快速链接

目标	阅读
编写 Tradelearn 1.x 风格轻量策略	Lite API 签名
编写 Backtrader 风格高级策略	Engine API 签名
理解两种入口的设计差异	策略编写指南

公开模块矩阵

模块	用途	常用入口	完整 Reference
tradelearn.lite	Lightweight Tradelearn 1.x style API.	Backtest, Strategy, ta, pta, talib, tdx, tv	Lite
tradelearn.engine	Backtrader-style advanced event-driven API.	Cerebro, OptReturn, DataFeed, CommInfoBase, ExecutedInfo, LineSeries, Order, Params, Position, Sizer, ... (+40)	Engine
tradelearn.data	OHLCV data providers, caching, and resampling utilities.	BarsCache, CacheEntry, CacheExpiredError, CacheMissError, DataExplorer, DataProvider, DuckDBBarsBackend, TdxProvider, TradingViewProvider	Data
tradelearn.indicators	Technical indicator facade for pandas-ta-classic, TA-Lib, TDX, and TradingView styles.	FunctionIndicator, Indicator, adx, atr, bbands, ema, macd, rsi, pta, talib, ... (+4)	Indicators
tradelearn.metrics	Return, risk, drawdown, trade, and factor evaluation metrics.	alpha, annual_return, autocorrelation, avg_loss, avg_win, beta, calmar, cum_returns, cvar, downside_risk, ... (+23)	Metrics
tradelearn.factor	Alpha formulas and factor analysis tools.	FactorAnalyzer, MultiFactorAnalyzer, MultiPeriodFactorAnalyzer, FactorRiskModel, PerformanceAttribution, alpha101, alpha191, clean_factor_and_forward_returns	Factor
tradelearn.report	HTML, Excel, and research report export utilities.	Reporter, ReportContext, ReportSection	Report
tradelearn.research	Research workflow tracking, preprocessing, and portfolio construction tools.	Pipeline, FeatureBuilder, FeatureSet, ModelScorer, ResearchResult, ResearchRun, ResearchStep, Transformer, current_run, derive, ... (+7)	Research
tradelearn.ml	Machine learning, model registry, and feature selection utilities.	CausalSelector, AutoML, ModelLoader, ModelRegistry, model_uri	ML