3be267cb03
A multi-language technical analysis library: 25 indicators across trend,
momentum, volatility, and volume families, every one a state machine with
O(1) per-tick updates. Batch evaluation is provided by a blanket extension
trait over the streaming primitive, so live trading bots and historical
backtests run the same code path.
What ships in this initial drop:
crates/wickra-core - 25 indicators, Indicator/BatchExt/Chain traits,
OHLCV types with validation; 171 unit tests,
property tests, Wilder/Bollinger textbook tests.
crates/wickra - top-level facade + criterion benches for every
indicator at 1K/10K/100K series sizes.
crates/wickra-data - streaming CSV reader, tick-to-candle aggregator,
multi-timeframe resampler, Binance Spot kline
WebSocket adapter behind feature live-binance;
11 unit + 1 doctest.
bindings/python - PyO3 + maturin, NumPy I/O, type stubs (.pyi),
56 pytest tests including streaming==batch
equivalence, Wilder reference values, lifecycle.
bindings/node - napi-rs native module, TypeScript .d.ts
auto-generated, 7 node --test cases.
bindings/wasm - wasm-bindgen ES module for browser/bundler/Node;
interactive HTML demo at examples/index.html.
examples/ - Python and Rust scripts: backtest, live trading,
parallel multi-asset, multi-timeframe, Binance.
benchmarks/ - cross-library comparison against TA-Lib,
pandas-ta, finta, talipp; Wickra wins every
category by 11-1030x (batch) and 17x+ streaming.
.github/workflows/ - CI matrix (Rust + Python + Node + WASM on
Linux/macOS/Windows), release pipeline for
PyPI wheels and npm.
Indicators (25):
Trend SMA EMA WMA DEMA TEMA HMA KAMA
Momentum RSI MACD Stochastic CCI ROC WilliamsR ADX MFI TRIX
AwesomeOscillator Aroon
Volatility BollingerBands ATR Keltner Donchian PSAR
Volume OBV VWAP (cumulative + rolling)
cargo clippy --workspace --all-targets -D warnings is clean. License: Apache-2.0.
147 lines
4.6 KiB
Python
147 lines
4.6 KiB
Python
"""Live trading skeleton: stream Binance kline ticks → incremental indicators → signals.
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This example connects to Binance's public WebSocket feed (no API key needed)
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and runs RSI / MACD / Bollinger Bands on the close prices coming in. When the
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RSI crosses common overbought / oversold thresholds *and* the MACD histogram
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confirms the direction, a `Signal` event is printed. No orders are placed.
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Run with::
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python -m examples.python.live_trading --symbol BTCUSDT --interval 1m
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Dependencies::
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pip install websockets
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"""
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from __future__ import annotations
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import argparse
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import asyncio
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import json
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import logging
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import signal
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import sys
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from dataclasses import dataclass
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from typing import Optional
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import wickra as ta
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try:
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import websockets
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except ImportError:
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print("This example needs the `websockets` package: pip install websockets", file=sys.stderr)
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raise
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BINANCE_WS = "wss://stream.binance.com:9443/stream"
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@dataclass
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class Snapshot:
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rsi: Optional[float]
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macd_hist: Optional[float]
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bb_upper: Optional[float]
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bb_middle: Optional[float]
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bb_lower: Optional[float]
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close: float
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class StrategyState:
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"""Holds one streaming instance of each indicator and computes signals."""
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def __init__(self) -> None:
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self.rsi = ta.RSI(14)
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self.macd = ta.MACD()
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self.bb = ta.BollingerBands(20, 2.0)
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def update(self, close: float) -> Snapshot:
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rsi = self.rsi.update(float(close))
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macd_v = self.macd.update(float(close))
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bb_v = self.bb.update(float(close))
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return Snapshot(
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rsi=rsi,
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macd_hist=macd_v[2] if macd_v else None,
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bb_upper=bb_v[0] if bb_v else None,
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bb_middle=bb_v[1] if bb_v else None,
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bb_lower=bb_v[2] if bb_v else None,
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close=float(close),
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)
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def emit_signal(snap: Snapshot, log: logging.Logger) -> None:
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if snap.rsi is None or snap.macd_hist is None or snap.bb_upper is None:
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return
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if snap.rsi > 70 and snap.macd_hist < 0 and snap.close >= snap.bb_upper:
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log.warning(
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"SELL candidate: rsi=%.1f hist=%.4f close=%.4f >= bb_upper=%.4f",
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snap.rsi, snap.macd_hist, snap.close, snap.bb_upper,
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)
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elif snap.rsi < 30 and snap.macd_hist > 0 and snap.close <= snap.bb_lower:
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log.warning(
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"BUY candidate: rsi=%.1f hist=%.4f close=%.4f <= bb_lower=%.4f",
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snap.rsi, snap.macd_hist, snap.close, snap.bb_lower,
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)
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async def run(symbol: str, interval: str) -> None:
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stream = f"{symbol.lower()}@kline_{interval}"
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url = f"{BINANCE_WS}?streams={stream}"
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log = logging.getLogger("wickra-live")
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state = StrategyState()
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log.info("Connecting to %s", url)
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async with websockets.connect(url, ping_interval=20) as ws:
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log.info("Connected, listening for %s klines", stream)
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async for raw in ws:
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envelope = json.loads(raw)
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payload = envelope.get("data", {})
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k = payload.get("k", {})
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close = float(k.get("c"))
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is_closed = bool(k.get("x"))
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snap = state.update(close)
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log.info(
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"%s close=%.4f rsi=%s hist=%s bb=%s",
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"BAR" if is_closed else "tick",
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close,
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f"{snap.rsi:.1f}" if snap.rsi else "--",
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f"{snap.macd_hist:+.4f}" if snap.macd_hist else "--",
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f"{snap.bb_lower:.2f}/{snap.bb_middle:.2f}/{snap.bb_upper:.2f}"
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if snap.bb_upper
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else "--",
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)
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emit_signal(snap, log)
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def parse_args() -> argparse.Namespace:
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p = argparse.ArgumentParser(description=__doc__.splitlines()[0] if __doc__ else None)
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p.add_argument("--symbol", default="BTCUSDT", help="trading pair")
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p.add_argument("--interval", default="1m", help="Binance kline interval")
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p.add_argument("--verbose", action="store_true")
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return p.parse_args()
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def main() -> int:
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args = parse_args()
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logging.basicConfig(
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level=logging.DEBUG if args.verbose else logging.INFO,
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format="%(asctime)s %(levelname)s %(message)s",
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)
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loop = asyncio.new_event_loop()
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# Translate Ctrl+C into a clean loop stop.
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for sig in (signal.SIGINT, signal.SIGTERM):
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try:
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loop.add_signal_handler(sig, loop.stop)
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except NotImplementedError:
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pass # Windows does not support add_signal_handler for SIGTERM.
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try:
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loop.run_until_complete(run(args.symbol, args.interval))
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except KeyboardInterrupt:
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pass
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finally:
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loop.close()
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return 0
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if __name__ == "__main__":
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sys.exit(main())
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