Python bindings for the Flox indicator library
Project description
flox-py
Python bindings for the FLOX trading framework.
Install
pip install flox-py
Quick Start
import flox_py as flox
import numpy as np
# Indicators
ema = flox.ema(close, 50)
rsi = flox.rsi(close, 14)
atr = flox.atr(high, low, close, 14)
# Backtest engine
engine = flox.Engine(initial_capital=100_000, fee_rate=0.0001)
engine.load_bars_df(timestamps, opens, highs, lows, closes, volumes)
signals = flox.make_signals(timestamps, sides, quantities)
stats = engine.run(signals)
# 1000 backtests in parallel
results = engine.run_batch([signals_1, signals_2, ...])
Modules
| Module | Description |
|---|---|
| Engine | Backtest engine with batch execution |
| Indicators | EMA, SMA, RSI, MACD, ATR, Bollinger, ADX, Stochastic, CCI, VWAP, CVD, and more |
| Aggregators | Time, tick, volume, range, renko, Heikin-Ashi bars |
| Order Books | N-level, L3, cross-exchange CompositeBookMatrix |
| Profiles | Footprint bars, volume profile, market profile |
| Positions | Position tracking with FIFO/LIFO/average cost basis |
| Replay | Binary log reader/writer, market data recorder |
| Segment Ops | Merge, split, export, validate, partition data |
| Optimizer | Permutation test, bootstrap CI, correlation |
All compute-heavy operations release the GIL for true parallelism.
Full API reference at flox-foundation.github.io/flox/reference/python.
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