jackyu66gitandClaude Opus 4.6
b7767c95ae
- 新增OKX WebSocket行情连接器，扩展4交易所价格监控 - 新增z-score趋势检测引擎(TrendDetector)，识别价格异动/趋势启动 - 新增累积变动跟踪(CumulativeTracker)，基于1min/5min多交易所共识 - 趋势事件和累积变动事件持久化到SQLite - 新增Binance/OKX动量检测字段，扩展前端动量卡片至15列 - 迁移至macOS(darwin-arm64)，更新前端依赖 - Dashboard网格重构：非交易卡片置顶，交易卡片置底 - TrackedCoin添加OK字段，添加ExBinance/ExOKX常量 - 前端新增趋势检测卡片、趋势历史卡片、累积变动卡片 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
120 lines
2.9 KiB
Go
120 lines
2.9 KiB
Go
package main
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import (
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"math"
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"testing"
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)
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func TestMeanStdDev(t *testing.T) {
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changes := []exchangeChange{
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{name: "A", change: 0.1},
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{name: "B", change: 0.2},
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{name: "C", change: 0.3},
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{name: "D", change: 0.4},
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}
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mean, std := meanStdDev(changes)
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if math.Abs(mean-0.25) > 0.001 {
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t.Errorf("mean = %.4f, want 0.2500", mean)
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}
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if math.Abs(std-0.1118) > 0.01 {
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t.Errorf("std = %.4f, want ~0.1118", std)
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}
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}
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func TestMeanStdDevSingleValue(t *testing.T) {
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changes := []exchangeChange{
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{name: "A", change: 0.1},
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}
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mean, std := meanStdDev(changes)
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if mean != 0.1 {
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t.Errorf("mean = %.4f, want 0.1000", mean)
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}
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if std != 0 {
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t.Errorf("std = %.4f, want 0.0000", std)
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}
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}
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func TestMeanStdDevZeroValues(t *testing.T) {
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changes := []exchangeChange{
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{name: "A", change: 0},
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{name: "B", change: 0},
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}
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mean, std := meanStdDev(changes)
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if mean != 0 {
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t.Errorf("mean = %.4f, want 0.0000", mean)
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}
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if std != 0 {
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t.Errorf("std = %.4f, want 0.0000", std)
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}
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}
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func TestMeanStdDevEmpty(t *testing.T) {
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mean, std := meanStdDev(nil)
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if mean != 0 || std != 0 {
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t.Errorf("expected 0,0 for empty input, got %.4f, %.4f", mean, std)
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}
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}
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func TestZScoreCalculation(t *testing.T) {
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// One exchange strongly diverging from the others
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// Three exchanges nearly flat, one moves 1.5%
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changes := []exchangeChange{
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{name: "BG", change: 0.01},
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{name: "HL", change: 0.01},
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{name: "BN", change: 0.02},
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{name: "OK", change: 1.50}, // anomalous!
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}
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_, std := meanStdDev(changes)
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maxAbs := 1.50
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zScore := maxAbs / std
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if zScore < 2.0 {
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t.Errorf("z-score = %.2f, expected > 2.0 for divergent exchange", zScore)
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}
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t.Logf("Divergent exchange (1 of 4): z-score = %.2f (std = %.4f)", zScore, std)
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}
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func TestCoordinatedMovement(t *testing.T) {
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// All exchanges moving together = also a trend (consensus, not anomaly)
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changes := []exchangeChange{
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{name: "BG", change: 0.05},
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{name: "HL", change: 0.06},
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{name: "BN", change: 0.04},
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{name: "OK", change: 0.07},
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}
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_, std := meanStdDev(changes)
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maxAbs := 0.07
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zScore := maxAbs / std
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// Tight cluster → std is small, z-score is high → valid trend signal
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t.Logf("Co-movement: z-score = %.2f (std = %.4f) — high z-score + 4/4 agreement = trend", zScore, std)
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}
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func TestTrendDetectorConfigure(t *testing.T) {
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td := NewTrendDetector(nil)
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if td.anomalyMul != 3.0 {
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t.Errorf("default anomalyMul = %.1f, want 3.0", td.anomalyMul)
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}
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if td.confirmTicks != 3 {
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t.Errorf("default confirmTicks = %d, want 3", td.confirmTicks)
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}
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td.Configure(300, 2.5, 2, 30000)
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if td.anomalyMul != 2.5 {
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t.Errorf("anomalyMul after configure = %.1f, want 2.5", td.anomalyMul)
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}
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if td.confirmTicks != 2 {
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t.Errorf("confirmTicks after configure = %d, want 2", td.confirmTicks)
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}
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}
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func TestTrendDetectorEmptyConfigure(t *testing.T) {
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td := NewTrendDetector(nil)
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// Passing zeros should keep defaults
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td.Configure(0, 0, 0, 0)
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if td.anomalyMul != 3.0 {
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t.Errorf("anomalyMul = %.1f, expected default 3.0", td.anomalyMul)
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}
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}
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