Initial backtesting engine

python/raptorbt/__init__.py

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+"""
+RaptorBT - High-performance Rust backtesting engine for quant5.
+
+This module provides Python bindings for the Rust-based backtesting engine,
+offering significant performance improvements over vectorbt:
+- Disk footprint: <10MB (vs vectorbt's ~450MB)
+- Startup latency: <10ms (vs 200-600ms)
+- 100% deterministic execution (no JIT cache)
+- Native parallelism via Rayon + explicit SIMD
+"""
+
+from raptorbt._raptorbt import (
+    # Config classes
+    PyBacktestConfig,
+    PyStopConfig,
+    PyTargetConfig,
+    # Result classes
+    PyBacktestResult,
+    PyBacktestMetrics,
+    PyTrade,
+    # Backtest functions
+    run_single_backtest,
+    run_basket_backtest,
+    run_options_backtest,
+    run_pairs_backtest,
+    run_multi_backtest,
+    # Indicator functions
+    sma,
+    ema,
+    rsi,
+    macd,
+    stochastic,
+    atr,
+    bollinger_bands,
+    adx,
+    vwap,
+    supertrend,
+)
+
+__version__ = "0.1.0"
+
+__all__ = [
+    # Config classes
+    "PyBacktestConfig",
+    "PyStopConfig",
+    "PyTargetConfig",
+    # Result classes
+    "PyBacktestResult",
+    "PyBacktestMetrics",
+    "PyTrade",
+    # Backtest functions
+    "run_single_backtest",
+    "run_basket_backtest",
+    "run_options_backtest",
+    "run_pairs_backtest",
+    "run_multi_backtest",
+    # Indicator functions
+    "sma",
+    "ema",
+    "rsi",
+    "macd",
+    "stochastic",
+    "atr",
+    "bollinger_bands",
+    "adx",
+    "vwap",
+    "supertrend",
+]