mirror of
https://github.com/lukewilson2002/autotrader.git
synced 2025-06-15 08:23:51 +00:00
Added trade stats and candlestick chart
This commit is contained in:
parent
52260551e8
commit
565aa6c9fd
163
backtesting.go
163
backtesting.go
@ -6,6 +6,7 @@ import (
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"log"
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"os"
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"strconv"
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"strings"
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"time"
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"github.com/go-echarts/go-echarts/v2/charts"
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@ -33,31 +34,65 @@ func Backtest(trader *Trader) {
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trader.Tick() // Allow the trader to process the current candlesticks.
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broker.Advance() // Give the trader access to the next candlestick.
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}
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trader.closeOrdersAndPositions() // Close any outstanding trades now.
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log.Printf("Backtest completed on %d candles. Opening report...\n", trader.Stats().Dated.Len())
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stats := trader.Stats()
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// Pick a datetime layout based on the frequency.
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dateLayout := time.DateTime
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if strings.Contains(trader.Frequency, "S") { // Seconds
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dateLayout = "15:04:05"
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} else if strings.Contains(trader.Frequency, "H") { // Hours
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dateLayout = "2006-01-02 15:04"
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} else if strings.Contains(trader.Frequency, "D") || trader.Frequency == "W" { // Days or Weeks
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dateLayout = time.DateOnly
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} else if trader.Frequency == "M" { // Months
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dateLayout = "2006-01"
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} else if strings.Contains(trader.Frequency, "M") { // Minutes
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dateLayout = "01-02 15:04"
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}
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page := components.NewPage()
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// Create a new line balChart based on account equity and add it to the page.
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balChart := charts.NewLine()
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balChart.SetGlobalOptions(charts.WithTitleOpts(opts.Title{
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balChart.SetGlobalOptions(
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charts.WithTitleOpts(opts.Title{
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Title: "Balance",
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Subtitle: fmt.Sprintf("%s %s %T %s (took %.2f seconds)", trader.Symbol, trader.Frequency, trader.Strategy, time.Now().Format(time.DateTime), time.Since(start).Seconds()),
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}), charts.WithTooltipOpts(opts.Tooltip{
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}),
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charts.WithTooltipOpts(opts.Tooltip{
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Show: true,
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Trigger: "axis",
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TriggerOn: "mousemove|click",
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}), charts.WithYAxisOpts(opts.YAxis{
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}),
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charts.WithYAxisOpts(opts.YAxis{
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AxisLabel: &opts.AxisLabel{
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Show: true,
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Formatter: "${value}",
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},
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}),
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charts.WithLegendOpts(opts.Legend{
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Show: true,
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Selected: map[string]bool{"Equity": false, "Profit": true},
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}))
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balChart.SetXAxis(seriesStringArray(stats.Dated.Dates())).
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AddSeries("Equity", lineDataFromSeries(stats.Dated.Series("Equity")), func(s *charts.SingleSeries) {
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}).
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AddSeries("Profit", lineDataFromSeries(stats.Dated.Series("Profit")))
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// AddSeries("Drawdown", lineDataFromSeries(stats.Dated.Series("Drawdown")))
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balChart.SetXAxis(seriesStringArray(stats.Dated.Dates(), dateLayout)).
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AddSeries("Equity", lineDataFromSeries(stats.Dated.Series("Equity"))).
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SetSeriesOptions(
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charts.WithMarkPointNameTypeItemOpts(
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opts.MarkPointNameTypeItem{Name: "Peak", Type: "max", ItemStyle: &opts.ItemStyle{
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Color: balChart.Colors[1],
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}},
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opts.MarkPointNameTypeItem{Name: "Drawdown", Type: "min", ItemStyle: &opts.ItemStyle{
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Color: balChart.Colors[3],
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}},
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),
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)
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balChart.AddSeries("Profit", lineDataFromSeries(stats.Dated.Series("Profit")))
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// Create a new kline chart based on the candlesticks and add it to the page.
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kline := newKline(trader.data, stats.Dated.Series("Trades"), dateLayout)
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// Sort Returns by value.
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// Plot returns as a bar chart.
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@ -93,10 +128,12 @@ func Backtest(trader *Trader) {
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}
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returnsChart := charts.NewBar()
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returnsChart.SetGlobalOptions(charts.WithTitleOpts(opts.Title{
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returnsChart.SetGlobalOptions(
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charts.WithTitleOpts(opts.Title{
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Title: "Returns",
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Subtitle: fmt.Sprintf("Average: $%.2f", avg),
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}), charts.WithYAxisOpts(opts.YAxis{
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}),
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charts.WithYAxisOpts(opts.YAxis{
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AxisLabel: &opts.AxisLabel{
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Show: true,
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Formatter: "${value}",
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@ -121,7 +158,7 @@ func Backtest(trader *Trader) {
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// Add all the charts in the desired order.
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page.PageTitle = "Backtest Report"
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page.AddCharts(balChart, returnsChart)
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page.AddCharts(balChart, kline, returnsChart)
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// Draw the page to a file.
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f, err := os.Create("backtest.html")
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@ -140,16 +177,85 @@ func Backtest(trader *Trader) {
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}
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}
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// func barDataFromSeries(s Series) []opts.BarData {
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// if s == nil || s.Len() == 0 {
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// return []opts.BarData{}
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// }
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// data := make([]opts.BarData, s.Len())
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// for i := 0; i < s.Len(); i++ {
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// data[i] = opts.BarData{Value: s.Value(i)}
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// }
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// return data
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// }
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func newKline(dohlcv Frame, trades Series, dateLayout string) *charts.Kline {
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kline := charts.NewKLine()
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x := make([]string, dohlcv.Len())
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y := make([]opts.KlineData, dohlcv.Len())
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for i := 0; i < dohlcv.Len(); i++ {
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x[i] = dohlcv.Date(i).Format(dateLayout)
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y[i] = opts.KlineData{Value: [4]float64{
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dohlcv.Open(i),
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dohlcv.Close(i),
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dohlcv.Low(i),
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dohlcv.High(i),
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}}
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}
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marks := make([]opts.MarkPointNameCoordItem, 0)
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for i := 0; i < trades.Len(); i++ {
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if slice := trades.Value(i); slice != nil {
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for _, trade := range slice.([]TradeStat) {
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color := "green"
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rotation := float32(0)
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if trade.Units < 0 {
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color = "red"
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rotation = 180
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}
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if trade.Exit {
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color = "black"
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}
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marks = append(marks, opts.MarkPointNameCoordItem{
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Name: "Trade",
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Value: fmt.Sprintf("%v units", trade.Units),
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Coordinate: []interface{}{x[i], y[i].Value.([4]float64)[1]},
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Label: &opts.Label{
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Show: true,
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Position: "inside",
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},
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ItemStyle: &opts.ItemStyle{
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Color: color,
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},
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Symbol: "arrow",
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SymbolRotate: rotation,
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SymbolSize: 25,
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})
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}
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}
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}
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kline.SetGlobalOptions(
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charts.WithTitleOpts(opts.Title{
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Title: "Trades",
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Subtitle: fmt.Sprintf("Showing %d candles", dohlcv.Len()),
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}),
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charts.WithXAxisOpts(opts.XAxis{
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SplitNumber: 20,
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}),
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charts.WithYAxisOpts(opts.YAxis{
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Scale: true,
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}),
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charts.WithTooltipOpts(opts.Tooltip{ // Enable seeing details on hover.
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Show: true,
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Trigger: "axis",
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TriggerOn: "mousemove|click",
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}),
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charts.WithDataZoomOpts(opts.DataZoom{ // Support zooming with scroll wheel.
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Type: "inside",
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Start: 0,
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End: 100,
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XAxisIndex: []int{0},
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}),
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charts.WithDataZoomOpts(opts.DataZoom{ // Support zooming with bottom slider.
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Type: "slider",
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Start: 0,
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End: 100,
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XAxisIndex: []int{0},
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}),
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)
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kline.SetXAxis(x).AddSeries("Price Action", y, charts.WithMarkPointNameCoordItemOpts(marks...))
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return kline
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}
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func lineDataFromSeries(s Series) []opts.LineData {
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if s == nil || s.Len() == 0 {
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@ -162,27 +268,14 @@ func lineDataFromSeries(s Series) []opts.LineData {
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return data
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}
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func seriesStringArray(s Series) []string {
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func seriesStringArray(s Series, dateLayout string) []string {
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if s == nil || s.Len() == 0 {
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return []string{}
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}
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first := true
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data := make([]string, s.Len())
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var dateLayout string
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for i := 0; i < s.Len(); i++ {
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switch val := s.Value(i).(type) {
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case time.Time:
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if first {
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first = false
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dateHead := s.Value(0).(time.Time)
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dateTail := s.Value(-1).(time.Time)
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diff := dateTail.Sub(dateHead)
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if diff.Hours() > 24*365 {
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dateLayout = time.DateOnly
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} else {
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dateLayout = time.DateTime
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}
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}
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data[i] = val.Format(dateLayout)
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case string:
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data[i] = fmt.Sprintf("%q", val)
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44
trader.go
44
trader.go
@ -11,12 +11,6 @@ import (
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"github.com/go-co-op/gocron"
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)
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// Performance (financial) reporting and statistics.
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type TraderStats struct {
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Dated *DataFrame
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returnsThisCandle float64
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}
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// Trader acts as the primary interface to the broker and strategy. To the strategy, it provides all the information
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// about the current state of the market and the portfolio. To the broker, it provides the orders to be executed and
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// requests for the current state of the portfolio.
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@ -38,6 +32,18 @@ func (t *Trader) Data() *DataFrame {
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return t.data
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}
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type TradeStat struct {
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Units float64 // Units is the signed number of units bought or sold.
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Exit bool // Exit is true if the trade was to exit a previous position.
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}
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// Performance (financial) reporting and statistics.
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type TraderStats struct {
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Dated *DataFrame
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returnsThisCandle float64
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tradesThisCandle []TradeStat
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}
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func (t *Trader) Stats() *TraderStats {
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return t.stats
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}
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@ -90,8 +96,10 @@ func (t *Trader) Init() {
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NewDataSeries("Profit"),
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NewDataSeries("Drawdown"),
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NewDataSeries("Returns"),
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NewDataSeries("Trades"), // []float64 representing the number of units traded positive for buy, negative for sell.
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)
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t.Broker.SignalConnect("PositionClosed", t, func(args ...interface{}) {
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t.stats.tradesThisCandle = make([]TradeStat, 0, 2)
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t.Broker.SignalConnect("PositionClosed", t, func(args ...any) {
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position := args[0].(Position)
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t.stats.returnsThisCandle += position.PL()
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})
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@ -104,7 +112,7 @@ func (t *Trader) Tick() {
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t.Strategy.Next(t) // Run the strategy.
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// Update the stats.
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err := t.stats.Dated.PushValues(map[string]interface{}{
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err := t.stats.Dated.PushValues(map[string]any{
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"Date": t.data.Date(-1),
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"Equity": t.Broker.NAV(),
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"Profit": t.Broker.PL(),
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@ -117,13 +125,22 @@ func (t *Trader) Tick() {
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}
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return Max(bal-t.Broker.NAV(), 0)
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}(),
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"Returns": func() interface{} {
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"Returns": func() any {
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if t.stats.returnsThisCandle != 0 {
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return t.stats.returnsThisCandle
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} else {
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return nil
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}
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}(),
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"Trades": func() any {
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if len(t.stats.tradesThisCandle) == 0 {
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return nil
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}
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trades := make([]TradeStat, len(t.stats.tradesThisCandle))
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copy(trades, t.stats.tradesThisCandle)
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t.stats.tradesThisCandle = t.stats.tradesThisCandle[:0]
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return trades
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}(),
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})
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if err != nil {
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log.Printf("error pushing values to stats dataframe: %v\n", err.Error())
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@ -146,26 +163,31 @@ func (t *Trader) fetchData() {
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}
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func (t *Trader) Buy(units float64) {
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t.Log.Printf("Buy %f units", units)
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t.closeOrdersAndPositions()
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t.Log.Printf("Buy %f units", units)
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t.Broker.MarketOrder(t.Symbol, units, 0.0, 0.0)
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t.stats.tradesThisCandle = append(t.stats.tradesThisCandle, TradeStat{units, false})
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}
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func (t *Trader) Sell(units float64) {
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t.Log.Printf("Sell %f units", units)
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t.closeOrdersAndPositions()
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t.Log.Printf("Sell %f units", units)
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t.Broker.MarketOrder(t.Symbol, -units, 0.0, 0.0)
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t.stats.tradesThisCandle = append(t.stats.tradesThisCandle, TradeStat{-units, false})
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}
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func (t *Trader) closeOrdersAndPositions() {
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for _, order := range t.Broker.OpenOrders() {
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if order.Symbol() == t.Symbol {
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t.Log.Printf("Cancelling order %s (%f units)", order.Id(), order.Units())
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order.Cancel()
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}
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}
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for _, position := range t.Broker.OpenPositions() {
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if position.Symbol() == t.Symbol {
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t.Log.Printf("Closing position %s (%f units, %f PL)", position.Id(), position.Units(), position.PL())
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position.Close()
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t.stats.tradesThisCandle = append(t.stats.tradesThisCandle, TradeStat{position.Units(), true})
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}
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}
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}
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