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kingchencandGitHub 75eefbbd08 examples: fix and harmonize the strategy backtests across all languages (#324)
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).
2026-06-17 17:56:22 +02:00

118 lines
2.9 KiB
Go

// Strategy example: Bollinger-squeeze breakout with an ATR(14) trailing stop.
//
// Enters long when Bollinger bandwidth makes a new SQUEEZE_LOOKBACK low (a
// volatility squeeze) and price closes above the upper band; exits on an ATR(14)
// trailing stop or when the upper band falls back below the entry. 0.1% fees per
// trade. The Go counterpart of examples/python/strategy_bollinger_squeeze.py,
// printing the same summary.
//
// Uses the checked-in examples/data/btcusdt-1d.csv dataset (daily bars give an
// interpretable ~6-month-low lookback); pass a CSV path to override.
package main
import (
"log"
"math"
"os"
wickra "github.com/wickra-lib/wickra/bindings/go"
"github.com/wickra-lib/wickra/examples/go/internal/market"
)
const (
fee = 0.001
bbPeriod = 20
bbK = 2.0
atrPeriod = 14
atrStopMult = 2.0
squeezeLookback = 180
)
func main() {
bars := loadBars()
bb, _ := wickra.NewBollingerBands(bbPeriod, bbK)
defer bb.Close()
atr, _ := wickra.NewAtr(atrPeriod)
defer atr.Close()
inPosition := false
entryPrice := 0.0
stopLevel := 0.0
var closedTrades []float64
equity := 1.0
var equityCurve []float64
var bwWindow []float64
for _, b := range bars {
band, okBand := bb.Update(b.Close)
atrVal := atr.Update(b.Open, b.High, b.Low, b.Close, b.Volume, b.Timestamp)
price := b.Close
mtm := equity
if inPosition {
mtm = equity * (price / entryPrice)
}
equityCurve = append(equityCurve, mtm)
if !okBand || math.IsNaN(atrVal) {
continue
}
upper, middle, lower := band.Upper, band.Middle, band.Lower
if math.Abs(middle) <= 1e-12 {
continue
}
bandwidth := (upper - lower) / middle
bwWindow = append(bwWindow, bandwidth)
if len(bwWindow) > squeezeLookback {
bwWindow = bwWindow[len(bwWindow)-squeezeLookback:]
}
if len(bwWindow) < squeezeLookback {
continue
}
minBw := bwWindow[0]
for _, v := range bwWindow {
if v < minBw {
minBw = v
}
}
if inPosition {
if price < stopLevel || upper < entryPrice {
tradeRet := price/entryPrice - 1.0
closedTrades = append(closedTrades, tradeRet)
equity *= (1.0 + tradeRet) * (1.0 - fee)
inPosition = false
}
} else {
isNewLow := math.Abs(bandwidth-minBw) < 1e-12
if isNewLow && price > upper {
entryPrice = price
stopLevel = price - atrStopMult*atrVal
equity *= 1.0 - fee
inPosition = true
}
}
}
if inPosition {
lastPrice := bars[len(bars)-1].Close
tradeRet := lastPrice/entryPrice - 1.0
closedTrades = append(closedTrades, tradeRet)
equity *= (1.0 + tradeRet) * (1.0 - fee)
}
market.PrintSummary("Bollinger Squeeze Breakout (1d, BTCUSDT)",
bars[0].Close, bars[len(bars)-1].Close, len(bars), closedTrades, equity, equityCurve)
}
func loadBars() []market.Bar {
if len(os.Args) > 1 {
bars, err := market.LoadOhlcvCsv(os.Args[1])
if err != nil {
log.Fatalf("load csv: %v", err)
}
return bars
}
return market.BundledCandles("btcusdt-1d.csv")
}