Files
wickra/examples/go/strategy_macd_adx/main.go
T
kingchenc 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

95 lines
2.3 KiB
Go

// Strategy example: MACD crossover with ADX trend-strength filter.
//
// Enters long on a MACD histogram cross up (the histogram turns positive) while
// ADX(14) > 20 (a directional market); exits on the opposite MACD crossover
// regardless of ADX. 0.1% fees per trade. The Go counterpart of
// examples/python/strategy_macd_adx.py and the Rust strategy_macd_adx.rs,
// printing the same summary.
//
// Uses the checked-in examples/data/btcusdt-1h.csv dataset (pass a CSV path to
// override).
package main
import (
"log"
"os"
wickra "github.com/wickra-lib/wickra/bindings/go"
"github.com/wickra-lib/wickra/examples/go/internal/market"
)
const (
fee = 0.001
adxFloor = 20.0
)
func main() {
bars := loadBars()
macd, _ := wickra.NewMacdIndicator(12, 26, 9)
defer macd.Close()
adx, _ := wickra.NewAdx(14)
defer adx.Close()
inPosition := false
entryPrice := 0.0
var closedTrades []float64
equity := 1.0
var equityCurve []float64
havePrev := false
prevSign := false
for _, b := range bars {
m, okMacd := macd.Update(b.Close)
a, okAdx := adx.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 !okMacd || !okAdx {
continue
}
histSign := m.Histogram > 0.0
crossUp := havePrev && !prevSign && histSign
crossDown := havePrev && prevSign && !histSign
havePrev = true
prevSign = histSign
if !inPosition && crossUp && a.Adx > adxFloor {
entryPrice = price
equity *= 1.0 - fee
inPosition = true
} else if inPosition && crossDown {
tradeRet := price/entryPrice - 1.0
closedTrades = append(closedTrades, tradeRet)
equity *= (1.0 + tradeRet) * (1.0 - fee)
inPosition = false
}
}
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("MACD + ADX Trend Filter (1h, 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-1h.csv")
}