kingchenc
75eefbbd08
The strategy_* examples were only syntax-smoked in CI, never run, which hid two classes of problem: 1. Python strategy_macd_adx / strategy_bollinger_squeeze passed three separate arguments to the candle indicators ADX/ATR, whose .update() takes a single candle — a TypeError at runtime — and read the ADX tuple at index 0 (plus_di) instead of 2 (adx). Both fixed. 2. The Go / C# / R / Java strategies defaulted to synthetic data and used a different (annualised) one-line summary, so they printed wildly different numbers from the Rust/Python/Node/C/WASM suite. Rewrite them to the shared per-trade backtest (load the bundled BTCUSDT CSV by default, same entry/exit logic, same print_summary output). All nine runnable bindings now print byte-identical backtest summaries on the same data (MACD+ADX 246 trades / -47.19%, RSI 37 / -17.84%, Bollinger 1 / -7.82%), verified by diffing each language's output against the Python reference. WASM shares the same logic and bundled dataset (browser-rendered).
67 lines
2.0 KiB
C#
67 lines
2.0 KiB
C#
using Wickra;
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using Wickra.Examples;
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// Strategy example: MACD crossover with ADX trend-strength filter.
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//
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// Enters long on a MACD histogram cross up (the histogram turns positive) while
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// ADX(14) > 20 (a directional market); exits on the opposite MACD crossover
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// regardless of ADX. 0.1% fees per trade. The C# counterpart of
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// examples/python/strategy_macd_adx.py, printing the same summary. Uses the
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// checked-in examples/data/btcusdt-1h.csv dataset (pass a CSV path to override).
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const double Fee = 0.001;
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const double AdxFloor = 20.0;
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var bars = args.Length > 0 ? MarketData.LoadOhlcvCsv(args[0]) : MarketData.BundledCandles("btcusdt-1h.csv");
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using var macd = new MacdIndicator(12, 26, 9);
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using var adx = new Adx(14);
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var inPosition = false;
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var entryPrice = 0.0;
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var closedTrades = new List<double>();
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var equity = 1.0;
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var equityCurve = new List<double>();
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bool? prevSign = null;
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foreach (var b in bars)
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{
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var m = macd.Update(b.Close);
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var a = adx.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp);
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var price = b.Close;
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equityCurve.Add(inPosition ? equity * (price / entryPrice) : equity);
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if (m is not { } macdValue || a is not { } adxValue)
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{
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continue;
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}
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var histSign = macdValue.Histogram > 0.0;
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var crossUp = prevSign == false && histSign;
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var crossDown = prevSign == true && !histSign;
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prevSign = histSign;
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if (!inPosition && crossUp && adxValue.Adx > AdxFloor)
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{
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entryPrice = price;
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equity *= 1.0 - Fee;
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inPosition = true;
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}
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else if (inPosition && crossDown)
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{
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var tradeRet = price / entryPrice - 1.0;
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closedTrades.Add(tradeRet);
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equity *= (1.0 + tradeRet) * (1.0 - Fee);
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inPosition = false;
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}
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}
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if (inPosition)
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{
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var tradeRet = bars[^1].Close / entryPrice - 1.0;
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closedTrades.Add(tradeRet);
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equity *= (1.0 + tradeRet) * (1.0 - Fee);
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}
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Backtest.PrintSummary("MACD + ADX Trend Filter (1h, BTCUSDT)",
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bars[0].Close, bars[^1].Close, bars.Length, closedTrades, equity, equityCurve);
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