Files
nofx/trader/hyperliquid_sync_test.go
tinkle-community 7e96c5d0f2 Ai grid (#1344)
* feat: add AI grid trading and market regime classification

- Add GridTrader interface with PlaceLimitOrder, CancelOrder, GetOrderBook
- Implement GridTrader for all exchanges (Binance, Bybit, OKX, Bitget, Hyperliquid, Aster, Lighter)
- Add grid engine with ATR-based boundary calculation and fund distribution
- Add market regime classification documents (Chinese/English)
- Add GridConfigEditor component for frontend configuration

* fix: implement GetOpenOrders for Lighter exchange

* debug: add logging for Lighter GetActiveOrders API call

* fix: correct Lighter API response parsing for GetOpenOrders

- Changed response field from 'data' to 'orders' to match Lighter API
- Updated OrderResponse struct to match Lighter's actual field names
- Fixed field types: price/quantity as strings, is_ask for side

* feat: implement GetOpenOrders for Aster, OKX, Bitget exchanges

- Aster: uses /fapi/v3/openOrders endpoint
- OKX: uses /api/v5/trade/orders-pending and orders-algo-pending
- Bitget: uses /api/v2/mix/order/orders-pending and orders-plan-pending

* fix: address code review issues for GetOpenOrders

- Add error logging for OKX/Bitget API failures (was silently swallowed)
- Fix Lighter position side logic to handle reduce-only orders
- Change verbose debug logs from Infof to Debugf level

* fix: provide FromAccountIndex and ApiKeyIndex for Lighter nonce auto-fetch

Root cause: SDK requires these fields to fetch nonce from API, otherwise nonce gets cached/stuck

* fix: use auth query parameter instead of Authorization header for Lighter API

* test: add Lighter API authentication tests and diagnostic tools

* fix(grid): add leverage setting before order placement

CRITICAL BUG FIX:
- Call SetLeverage() in GridTraderAdapter.PlaceLimitOrder()
- Set leverage during grid initialization
- Log leverage setting results

* fix(grid): prevent CancelOrder from canceling all orders

CRITICAL BUG FIX:
- CancelOrder no longer calls CancelAllOrders
- Try exchange-specific CancelOrder if available
- Return error if individual cancellation not supported

* fix(grid): add total position value limit check

CRITICAL: Prevent excessive position accumulation
- New checkTotalPositionLimit() function
- Checks current + pending + new order value
- Rejects orders that would exceed TotalInvestment x Leverage
- Logs clear error messages when limit exceeded

* feat(grid): implement stop loss execution

CRITICAL: Add code-level stop loss protection
- New checkAndExecuteStopLoss() function
- Checks each filled level against StopLossPct
- Automatically closes positions exceeding stop loss
- Called during every grid state sync

* feat(grid): add breakout detection and auto-pause

CRITICAL: Detect price breakout from grid range
- New checkBreakout() function to detect upper/lower breakouts
- Auto-pause grid on significant breakout (>2%)
- Cancel all orders when breakout detected
- Prevent continued losses in trending market
- Minor breakouts (1-2%) logged for AI consideration

* feat(grid): enforce max drawdown limit with emergency exit

CRITICAL: Add drawdown protection
- New checkMaxDrawdown() function tracks peak equity
- emergencyExit() closes all positions and cancels orders
- Auto-pause grid when MaxDrawdownPct exceeded
- Protect capital from excessive losses

* feat(grid): enforce daily loss limit

- Add checkDailyLossLimit() function to check if daily loss exceeds limit
- Track daily PnL with auto-reset at midnight
- Pause grid when DailyLossLimitPct exceeded
- Add updateDailyPnL() helper for realized PnL tracking
- Prevent excessive single-day losses

* fix(grid): update daily PnL when stop loss is executed

The updateDailyPnL() function was added but never called, leaving
DailyPnL always at 0 and preventing daily loss limit checks from
triggering.

This fix updates DailyPnL and TotalProfit directly in checkAndExecuteStopLoss()
when a stop loss is executed. We update directly rather than calling
updateDailyPnL() because the mutex is already held in that function.

* feat(grid): add automatic grid adjustment

- New checkGridSkew() detects imbalanced grid
- autoAdjustGrid() reinitializes around current price
- Prevents grid from becoming ineffective after drift
- Triggers when one side is 3x more filled than other

* fix(grid): recalculate bounds in autoAdjustGrid before reinitializing levels

Critical fix for grid auto-adjustment:
- Recalculate grid bounds (UpperPrice, LowerPrice, GridSpacing) centered
  on current price before reinitializing grid levels
- Preserve filled positions during adjustment by saving and restoring
  them to the closest new level after reinitialization
- Hold mutex lock for the entire adjustment operation to ensure atomicity
- Add locked variants of calculateDefaultBounds, calculateATRBounds, and
  initializeGridLevels to use during adjustment

Without this fix, autoAdjustGrid was using old boundaries when creating
new grid levels, defeating the purpose of auto-adjustment when price
moved significantly.

* fix(grid): improve order state sync logic

- Don't assume missing orders are filled
- Compare position size to determine fill vs cancel
- Properly reset cancelled orders to empty state
- More accurate grid state tracking

* fix(grid): use actual PositionSize sum instead of count in syncGridState heuristic

The position-based heuristic was using `float64(previousFilledCount) * level.OrderQuantity`
which incorrectly assumed uniform order quantities. Since the grid uses weighted distribution
(gaussian, pyramid, uniform) where orders have different quantities, this could lead to
incorrect fill detection.

Now sums the actual PositionSize from filled levels for accurate comparison.
Also adds warning log when GetPositions() fails.

* docs: add grid market regime detection design

Design for enhanced market state recognition with:
- Multi-dimensional indicators (ATR, Bollinger, EMA, MACD, RSI)
- Multi-period box indicators (72/240/500 1h candles)
- 4-level ranging classification
- Breakout detection and handling
- Frontend risk control panel

* docs: add grid market regime implementation plan

20 tasks covering:
- Donchian channel calculation
- Box data types and API
- Regime classification (4 levels)
- Breakout detection and handling
- False breakout recovery
- Frontend risk panel
- AI prompt updates

* feat(market): add Donchian channel calculation

Add calculateDonchian function to compute highest high and lowest low
over a specified period. This is the foundation for box (range) detection
in the multi-period box indicator system for grid trading.

* fix(market): handle invalid period in calculateDonchian

* feat(market): add BoxData and RegimeLevel types

* feat(market): add GetBoxData for multi-period box calculation

Adds calculateBoxData internal function and GetBoxData public API that
fetches 1h klines and computes three Donchian box levels (short/mid/long).
This will be used by the grid trading system to detect market regime.

* feat(store): add box and regime fields to grid models

* feat(trader): add regime classification and breakout detection

Implements Tasks 6-9 for grid market regime awareness:
- Task 6: classifyRegimeLevel with Bollinger/ATR thresholds
- Task 7: detectBoxBreakout for multi-period box breakouts
- Task 8: confirmBreakout with 3-candle confirmation logic
- Task 9: getBreakoutAction mapping breakout levels to actions

* feat(trader): integrate box breakout detection into grid cycle

- Task 10: Add checkBoxBreakout with 3-candle confirmation
- Task 11: Add checkFalseBreakoutRecovery for 50% position recovery
- Task 12: Add box/breakout/regime fields to GridState

* feat: add grid risk panel with API endpoint

- Task 13: Add GridRiskInfo type to frontend
- Task 14: Add /traders/:id/grid-risk API endpoint
- Task 15: Add GetGridRiskInfo method to AutoTrader
- Task 16: Create GridRiskPanel component with i18n

* feat(kernel): add box indicators to AI prompt

- Add BoxData field to GridContext
- Add box indicator table to both zh/en prompts
- Show breakout/warning alerts based on price position

* feat(web): integrate GridRiskPanel into TraderDashboardPage

* feat(lighter): improve API key validation and market caching

- Add API key validation status tracking
- Add market list caching to reduce API calls
- Improve logging (debug vs info levels)
- Add comprehensive integration tests
- Update trader manager and store for lighter support

* fix: remove hardcoded test wallet address

* fix(grid): improve GridRiskPanel layout and fix liquidation data

- Make panel collapsible with summary badges when collapsed
- Use compact 2-column grid layout for detailed info
- Fix auth token key (token -> auth_token)
- Only calculate liquidation distance when position exists

* fix(grid): add isRunning checks to prevent trades after Stop() is called
2026-01-19 12:07:14 +08:00

394 lines
11 KiB
Go

package trader
import (
"math"
"nofx/store"
"testing"
"time"
"gorm.io/driver/sqlite"
"gorm.io/gorm"
"gorm.io/gorm/logger"
)
// TestHyperliquidOrderDirectionParsing tests Dir field parsing
func TestHyperliquidOrderDirectionParsing(t *testing.T) {
tests := []struct {
name string
dirField string
side string
expectedAction string
expectedPosSide string
}{
{
name: "Open Long",
dirField: "Open Long",
side: "BUY",
expectedAction: "open_long",
expectedPosSide: "LONG",
},
{
name: "Open Short",
dirField: "Open Short",
side: "SELL",
expectedAction: "open_short",
expectedPosSide: "SHORT",
},
{
name: "Close Long",
dirField: "Close Long",
side: "SELL",
expectedAction: "close_long",
expectedPosSide: "LONG",
},
{
name: "Close Short",
dirField: "Close Short",
side: "BUY",
expectedAction: "close_short",
expectedPosSide: "SHORT",
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
// Mock fill data structure from Hyperliquid SDK
// We'll test the parsing logic directly
var orderAction string
switch tt.dirField {
case "Open Long":
orderAction = "open_long"
case "Open Short":
orderAction = "open_short"
case "Close Long":
orderAction = "close_long"
case "Close Short":
orderAction = "close_short"
}
if orderAction != tt.expectedAction {
t.Errorf("Expected action %s, got %s", tt.expectedAction, orderAction)
}
})
}
}
// TestHyperliquidPositionBuilding tests the complete flow of position building
func TestHyperliquidPositionBuilding(t *testing.T) {
// Setup in-memory database
db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{
Logger: logger.Default.LogMode(logger.Silent),
})
if err != nil {
t.Fatalf("Failed to create test database: %v", err)
}
// Initialize stores
positionStore := store.NewPositionStore(db)
if err := positionStore.InitTables(); err != nil {
t.Fatalf("Failed to initialize position tables: %v", err)
}
posBuilder := store.NewPositionBuilder(positionStore)
traderID := "test-trader"
exchangeID := "test-exchange"
exchangeType := "hyperliquid"
symbol := "ETHUSDT"
// Test Case 1: Open Long → Close Long (should result in 0 position)
t.Run("Open and Close Long", func(t *testing.T) {
// Open Long: BUY 0.1 ETH @ 3500
err := posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "open_long",
0.1, 3500, 0.5, 0,
time.Now().UnixMilli(), "order-1",
)
if err != nil {
t.Fatalf("Failed to process open long: %v", err)
}
// Verify position created
positions, err := positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 1 {
t.Fatalf("Expected 1 open position, got %d", len(positions))
}
if positions[0].Quantity != 0.1 {
t.Errorf("Expected quantity 0.1, got %f", positions[0].Quantity)
}
// Close Long: SELL 0.1 ETH @ 3600
err = posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "close_long",
0.1, 3600, 0.5, 10.0, // PnL = (3600-3500)*0.1 = 10
time.Now().UnixMilli(), "order-2",
)
if err != nil {
t.Fatalf("Failed to process close long: %v", err)
}
// Verify position closed
positions, err = positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 0 {
t.Errorf("Expected 0 open positions, got %d", len(positions))
}
})
// Clear positions for next test
db.Exec("DELETE FROM trader_positions")
// Test Case 2: Open Short → Close Short with BUY (the bug scenario!)
t.Run("Open Short then Close with BUY", func(t *testing.T) {
// Open Short: SELL 0.05 ETH @ 3500
err := posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "SHORT", "open_short",
0.05, 3500, 0.25, 0,
time.Now().UnixMilli(), "order-3",
)
if err != nil {
t.Fatalf("Failed to process open short: %v", err)
}
// Verify SHORT position created
positions, err := positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 1 {
t.Fatalf("Expected 1 open position, got %d", len(positions))
}
if positions[0].Side != "SHORT" {
t.Errorf("Expected SHORT position, got %s", positions[0].Side)
}
// Close Short: BUY 0.05 ETH @ 3400
// ⚠️ This is the critical test - BUY should close SHORT, not open LONG!
err = posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "SHORT", "close_short",
0.05, 3400, 0.25, 5.0, // PnL = (3500-3400)*0.05 = 5
time.Now().UnixMilli(), "order-4",
)
if err != nil {
t.Fatalf("Failed to process close short: %v", err)
}
// Verify position CLOSED (not opened a new LONG!)
positions, err = positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 0 {
t.Errorf("Expected 0 open positions after close, got %d", len(positions))
if len(positions) > 0 {
t.Errorf("Wrong position side: %s (should be closed!)", positions[0].Side)
}
}
})
// Clear positions
db.Exec("DELETE FROM trader_positions")
// Test Case 3: Position Averaging (Open → Add → Close)
t.Run("Position Averaging", func(t *testing.T) {
// Open Long: BUY 0.1 ETH @ 3500
err := posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "open_long",
0.1, 3500, 0.5, 0,
time.Now().UnixMilli(), "order-5",
)
if err != nil {
t.Fatalf("Failed to process first open: %v", err)
}
// Add to Long: BUY 0.1 ETH @ 3600
err = posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "open_long",
0.1, 3600, 0.5, 0,
time.Now().UnixMilli(), "order-6",
)
if err != nil {
t.Fatalf("Failed to process add position: %v", err)
}
// Verify averaged position
positions, err := positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 1 {
t.Fatalf("Expected 1 position (averaged), got %d", len(positions))
}
if positions[0].Quantity != 0.2 {
t.Errorf("Expected quantity 0.2, got %f", positions[0].Quantity)
}
expectedAvgPrice := (3500*0.1 + 3600*0.1) / 0.2 // = 3550
if positions[0].EntryPrice != expectedAvgPrice {
t.Errorf("Expected avg price %f, got %f", expectedAvgPrice, positions[0].EntryPrice)
}
// Close all: SELL 0.2 ETH @ 3700
err = posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "close_long",
0.2, 3700, 1.0, 30.0,
time.Now().UnixMilli(), "order-7",
)
if err != nil {
t.Fatalf("Failed to process close: %v", err)
}
// Verify fully closed
positions, err = positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 0 {
t.Errorf("Expected 0 positions, got %d", len(positions))
}
})
// Clear positions
db.Exec("DELETE FROM trader_positions")
// Test Case 4: Partial Close
t.Run("Partial Close", func(t *testing.T) {
// Open Long: BUY 1.0 ETH @ 3500
err := posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "open_long",
1.0, 3500, 2.0, 0,
time.Now().UnixMilli(), "order-8",
)
if err != nil {
t.Fatalf("Failed to process open: %v", err)
}
// Partial Close: SELL 0.3 ETH @ 3600
err = posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
symbol, "LONG", "close_long",
0.3, 3600, 0.6, 30.0,
time.Now().UnixMilli(), "order-9",
)
if err != nil {
t.Fatalf("Failed to process partial close: %v", err)
}
// Verify remaining position
positions, err := positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 1 {
t.Fatalf("Expected 1 position, got %d", len(positions))
}
if positions[0].Quantity != 0.7 {
t.Errorf("Expected remaining quantity 0.7, got %f", positions[0].Quantity)
}
if positions[0].Status != "OPEN" {
t.Errorf("Expected status OPEN, got %s", positions[0].Status)
}
})
}
// TestHyperliquidBugScenario tests the exact bug we fixed
func TestHyperliquidBugScenario(t *testing.T) {
// Setup database
db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{
Logger: logger.Default.LogMode(logger.Silent),
})
if err != nil {
t.Fatalf("Failed to create test database: %v", err)
}
positionStore := store.NewPositionStore(db)
if err := positionStore.InitTables(); err != nil {
t.Fatalf("Failed to initialize position tables: %v", err)
}
posBuilder := store.NewPositionBuilder(positionStore)
traderID := "test-trader"
exchangeID := "test-exchange"
exchangeType := "hyperliquid"
// Simulate the exact scenario from the bug report
// Account has 30 USDT, should not be able to hold 1.7 ETH
trades := []struct {
action string
side string
symbol string
qty float64
price float64
fee float64
pnl float64
}{
// Order 853: Open Short
{"open_short", "SHORT", "ETHUSDT", 0.0472, 3500, 0.2, 0},
// Order 854: Close Short (was incorrectly classified as open_long)
{"close_short", "SHORT", "ETHUSDT", 0.0472, 3400, 0.2, 4.72},
// Order 855: Open Long
{"open_long", "LONG", "ETHUSDT", 0.05, 3450, 0.2, 0},
// Order 856: Close Long
{"close_long", "LONG", "ETHUSDT", 0.05, 3550, 0.2, 5.0},
}
for i, trade := range trades {
err := posBuilder.ProcessTrade(
traderID, exchangeID, exchangeType,
trade.symbol, trade.side, trade.action,
trade.qty, trade.price, trade.fee, trade.pnl,
time.Now().Add(time.Duration(i)*time.Second).UnixMilli(),
"",
)
if err != nil {
t.Fatalf("Failed to process trade %d: %v", i, err)
}
}
// Verify: Should have 0 open positions
positions, err := positionStore.GetOpenPositions(traderID)
if err != nil {
t.Fatalf("Failed to get positions: %v", err)
}
if len(positions) != 0 {
t.Errorf("Expected 0 open positions, got %d", len(positions))
for _, p := range positions {
t.Errorf(" Unexpected position: %s %s qty=%.4f", p.Symbol, p.Side, p.Quantity)
}
}
// Verify closed positions have correct PnL
allPositions, err := positionStore.GetClosedPositions(traderID, 100)
if err != nil {
t.Fatalf("Failed to get closed positions: %v", err)
}
totalPnL := 0.0
for _, p := range allPositions {
if p.Status == "CLOSED" {
totalPnL += p.RealizedPnL
}
}
expectedTotalPnL := 4.72 + 5.0 // Sum of both close trades
// Use tolerance for floating point comparison
if math.Abs(totalPnL-expectedTotalPnL) > 0.01 {
t.Errorf("Expected total PnL %.2f, got %.2f", expectedTotalPnL, totalPnL)
}
}