Files
nofx/trader/auto_trader_grid.go
T
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

1580 lines
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package trader
import (
"encoding/json"
"fmt"
"math"
"nofx/kernel"
"nofx/logger"
"nofx/market"
"nofx/store"
"sync"
"time"
)
// ============================================================================
// Grid Trading State Management
// ============================================================================
// GridState holds the runtime state for grid trading
type GridState struct {
mu sync.RWMutex
// Configuration
Config *store.GridStrategyConfig
// Grid levels
Levels []kernel.GridLevelInfo
// Calculated bounds
UpperPrice float64
LowerPrice float64
GridSpacing float64
// State flags
IsPaused bool
IsInitialized bool
// Performance tracking
TotalProfit float64
TotalTrades int
WinningTrades int
MaxDrawdown float64
PeakEquity float64
DailyPnL float64
LastDailyReset time.Time
// Order tracking
OrderBook map[string]int // OrderID -> LevelIndex
// Box state
ShortBoxUpper float64
ShortBoxLower float64
MidBoxUpper float64
MidBoxLower float64
LongBoxUpper float64
LongBoxLower float64
// Breakout state
BreakoutLevel string
BreakoutDirection string
BreakoutConfirmCount int
// Position reduction (0 = normal, 50 = reduced after false breakout)
PositionReductionPct float64
// Current regime level
CurrentRegimeLevel string
}
// NewGridState creates a new grid state
func NewGridState(config *store.GridStrategyConfig) *GridState {
return &GridState{
Config: config,
Levels: make([]kernel.GridLevelInfo, 0),
OrderBook: make(map[string]int),
}
}
// ============================================================================
// Breakout Detection
// ============================================================================
// BreakoutType represents the type of price breakout
type BreakoutType string
const (
BreakoutNone BreakoutType = "none"
BreakoutUpper BreakoutType = "upper"
BreakoutLower BreakoutType = "lower"
)
// checkBreakout detects if price has broken out of grid range
// Returns breakout type and percentage beyond boundary
func (at *AutoTrader) checkBreakout() (BreakoutType, float64) {
gridConfig := at.config.StrategyConfig.GridConfig
currentPrice, err := at.trader.GetMarketPrice(gridConfig.Symbol)
if err != nil {
return BreakoutNone, 0
}
at.gridState.mu.RLock()
upper := at.gridState.UpperPrice
lower := at.gridState.LowerPrice
at.gridState.mu.RUnlock()
if upper <= 0 || lower <= 0 {
return BreakoutNone, 0
}
// Check upper breakout
if currentPrice > upper {
breakoutPct := (currentPrice - upper) / upper * 100
return BreakoutUpper, breakoutPct
}
// Check lower breakout
if currentPrice < lower {
breakoutPct := (lower - currentPrice) / lower * 100
return BreakoutLower, breakoutPct
}
return BreakoutNone, 0
}
// checkMaxDrawdown checks if current drawdown exceeds maximum allowed
// Returns: (exceeded bool, currentDrawdown float64)
func (at *AutoTrader) checkMaxDrawdown() (bool, float64) {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig.MaxDrawdownPct <= 0 {
return false, 0
}
// Get current equity
balance, err := at.trader.GetBalance()
if err != nil {
return false, 0
}
currentEquity := 0.0
if equity, ok := balance["total_equity"].(float64); ok {
currentEquity = equity
} else if total, ok := balance["totalWalletBalance"].(float64); ok {
if unrealized, ok := balance["totalUnrealizedProfit"].(float64); ok {
currentEquity = total + unrealized
}
}
if currentEquity <= 0 {
return false, 0
}
// Update peak equity
at.gridState.mu.Lock()
if currentEquity > at.gridState.PeakEquity {
at.gridState.PeakEquity = currentEquity
}
peakEquity := at.gridState.PeakEquity
at.gridState.mu.Unlock()
if peakEquity <= 0 {
return false, 0
}
// Calculate current drawdown
drawdown := (peakEquity - currentEquity) / peakEquity * 100
// Update max drawdown tracking
at.gridState.mu.Lock()
if drawdown > at.gridState.MaxDrawdown {
at.gridState.MaxDrawdown = drawdown
}
at.gridState.mu.Unlock()
return drawdown >= gridConfig.MaxDrawdownPct, drawdown
}
// checkDailyLossLimit checks if daily loss exceeds limit
// Returns: (exceeded bool, dailyLossPct float64)
func (at *AutoTrader) checkDailyLossLimit() (bool, float64) {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig.DailyLossLimitPct <= 0 {
return false, 0
}
at.gridState.mu.Lock()
// Reset daily PnL if new day
now := time.Now()
if now.YearDay() != at.gridState.LastDailyReset.YearDay() ||
now.Year() != at.gridState.LastDailyReset.Year() {
at.gridState.DailyPnL = 0
at.gridState.LastDailyReset = now
}
dailyPnL := at.gridState.DailyPnL
at.gridState.mu.Unlock()
// Calculate daily loss as percentage of total investment
dailyLossPct := 0.0
if gridConfig.TotalInvestment > 0 && dailyPnL < 0 {
dailyLossPct = (-dailyPnL) / gridConfig.TotalInvestment * 100
}
return dailyLossPct >= gridConfig.DailyLossLimitPct, dailyLossPct
}
// updateDailyPnL updates the daily PnL tracking
func (at *AutoTrader) updateDailyPnL(realizedPnL float64) {
at.gridState.mu.Lock()
at.gridState.DailyPnL += realizedPnL
at.gridState.TotalProfit += realizedPnL
at.gridState.mu.Unlock()
}
// emergencyExit closes all positions and cancels all orders
func (at *AutoTrader) emergencyExit(reason string) error {
gridConfig := at.config.StrategyConfig.GridConfig
logger.Errorf("[Grid] EMERGENCY EXIT: %s", reason)
// Cancel all orders
if err := at.cancelAllGridOrders(); err != nil {
logger.Errorf("[Grid] Failed to cancel orders in emergency: %v", err)
}
// Close all positions
positions, err := at.trader.GetPositions()
if err == nil {
for _, pos := range positions {
if sym, ok := pos["symbol"].(string); ok && sym == gridConfig.Symbol {
if size, ok := pos["positionAmt"].(float64); ok && size != 0 {
if size > 0 {
at.trader.CloseLong(gridConfig.Symbol, size)
} else {
at.trader.CloseShort(gridConfig.Symbol, -size)
}
}
}
}
}
// Pause grid
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
return nil
}
// handleBreakout handles price breakout from grid range
func (at *AutoTrader) handleBreakout(breakoutType BreakoutType, breakoutPct float64) error {
logger.Warnf("[Grid] BREAKOUT DETECTED: %s, %.2f%% beyond boundary", breakoutType, breakoutPct)
// If breakout exceeds 2%, pause grid and cancel orders
if breakoutPct >= 2.0 {
logger.Warnf("[Grid] Significant breakout (%.2f%%), pausing grid and canceling orders", breakoutPct)
// Cancel all pending orders to prevent further losses
if err := at.cancelAllGridOrders(); err != nil {
logger.Errorf("[Grid] Failed to cancel orders on breakout: %v", err)
}
// Pause grid trading
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
return fmt.Errorf("grid paused due to %s breakout (%.2f%%)", breakoutType, breakoutPct)
}
// If breakout is minor (< 2%), consider adjusting grid
if breakoutPct >= 1.0 {
logger.Infof("[Grid] Minor breakout (%.2f%%), considering grid adjustment", breakoutPct)
// Let AI decide whether to adjust
}
return nil
}
// checkBoxBreakout checks for multi-period box breakouts and takes appropriate action
func (at *AutoTrader) checkBoxBreakout() error {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig == nil {
return nil
}
// Get box data
box, err := market.GetBoxData(gridConfig.Symbol)
if err != nil {
logger.Infof("Failed to get box data: %v", err)
return nil // Non-fatal, continue with other checks
}
// Update grid state with box values
at.gridState.mu.Lock()
at.gridState.ShortBoxUpper = box.ShortUpper
at.gridState.ShortBoxLower = box.ShortLower
at.gridState.MidBoxUpper = box.MidUpper
at.gridState.MidBoxLower = box.MidLower
at.gridState.LongBoxUpper = box.LongUpper
at.gridState.LongBoxLower = box.LongLower
at.gridState.mu.Unlock()
// Detect breakout
breakoutLevel, direction := detectBoxBreakout(box)
// Get current breakout state
state := &BreakoutState{
Level: market.BreakoutLevel(at.gridState.BreakoutLevel),
Direction: at.gridState.BreakoutDirection,
ConfirmCount: at.gridState.BreakoutConfirmCount,
}
// Check if breakout is confirmed (3 candles)
confirmed := confirmBreakout(state, breakoutLevel, direction)
// Update grid state
at.gridState.mu.Lock()
at.gridState.BreakoutLevel = string(state.Level)
at.gridState.BreakoutDirection = state.Direction
at.gridState.BreakoutConfirmCount = state.ConfirmCount
at.gridState.mu.Unlock()
if !confirmed {
return nil
}
// Take action based on breakout level
action := getBreakoutAction(breakoutLevel)
return at.executeBreakoutAction(action)
}
// executeBreakoutAction executes the appropriate action for a breakout
func (at *AutoTrader) executeBreakoutAction(action BreakoutAction) error {
switch action {
case BreakoutActionReducePosition:
// Short box breakout: reduce position to 50%
logger.Infof("Short box breakout confirmed, reducing position to 50%%")
at.gridState.mu.Lock()
at.gridState.PositionReductionPct = 50
at.gridState.mu.Unlock()
return nil
case BreakoutActionPauseGrid:
// Mid box breakout: pause grid + cancel orders
logger.Infof("Mid box breakout confirmed, pausing grid and canceling orders")
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
return at.cancelAllGridOrders()
case BreakoutActionCloseAll:
// Long box breakout: pause + cancel + close all
logger.Infof("Long box breakout confirmed, closing all positions")
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
if err := at.cancelAllGridOrders(); err != nil {
logger.Infof("Failed to cancel orders: %v", err)
}
return at.closeAllPositions()
}
return nil
}
// closeAllPositions closes all open positions for the grid symbol
func (at *AutoTrader) closeAllPositions() error {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig == nil {
return nil
}
positions, err := at.trader.GetPositions()
if err != nil {
return fmt.Errorf("failed to get positions: %w", err)
}
for _, pos := range positions {
symbol, _ := pos["symbol"].(string)
if symbol != gridConfig.Symbol {
continue
}
size, _ := pos["positionAmt"].(float64)
if size == 0 {
continue
}
if size > 0 {
_, err = at.trader.CloseLong(symbol, size)
} else {
_, err = at.trader.CloseShort(symbol, -size)
}
if err != nil {
logger.Infof("Failed to close position: %v", err)
}
}
return nil
}
// checkFalseBreakoutRecovery checks if price has returned to box after breakout
func (at *AutoTrader) checkFalseBreakoutRecovery() error {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig == nil {
return nil
}
at.gridState.mu.RLock()
breakoutLevel := at.gridState.BreakoutLevel
isPaused := at.gridState.IsPaused
positionReduction := at.gridState.PositionReductionPct
at.gridState.mu.RUnlock()
// Only check if we had a breakout
if breakoutLevel == string(market.BreakoutNone) && positionReduction == 0 && !isPaused {
return nil
}
// Get current box data
box, err := market.GetBoxData(gridConfig.Symbol)
if err != nil {
return nil
}
// Check if price is back inside the long box
if box.CurrentPrice >= box.LongLower && box.CurrentPrice <= box.LongUpper {
logger.Infof("Price returned to box, recovering with 50%% position")
at.gridState.mu.Lock()
at.gridState.BreakoutLevel = string(market.BreakoutNone)
at.gridState.BreakoutDirection = ""
at.gridState.BreakoutConfirmCount = 0
at.gridState.PositionReductionPct = 50 // Recover at 50%
at.gridState.IsPaused = false
at.gridState.mu.Unlock()
}
return nil
}
// ============================================================================
// AutoTrader Grid Methods
// ============================================================================
// InitializeGrid initializes the grid state and calculates levels
func (at *AutoTrader) InitializeGrid() error {
if at.config.StrategyConfig == nil || at.config.StrategyConfig.GridConfig == nil {
return fmt.Errorf("grid configuration not found")
}
gridConfig := at.config.StrategyConfig.GridConfig
at.gridState = NewGridState(gridConfig)
// Get current market price
price, err := at.trader.GetMarketPrice(gridConfig.Symbol)
if err != nil {
return fmt.Errorf("failed to get market price: %w", err)
}
// Calculate grid bounds
if gridConfig.UseATRBounds {
// Get ATR for bound calculation
mktData, err := market.GetWithTimeframes(gridConfig.Symbol, []string{"4h"}, "4h", 20)
if err != nil {
logger.Warnf("Failed to get market data for ATR: %v, using default bounds", err)
at.calculateDefaultBounds(price, gridConfig)
} else {
at.calculateATRBounds(price, mktData, gridConfig)
}
} else {
// Use manual bounds
at.gridState.UpperPrice = gridConfig.UpperPrice
at.gridState.LowerPrice = gridConfig.LowerPrice
}
// Calculate grid spacing
at.gridState.GridSpacing = (at.gridState.UpperPrice - at.gridState.LowerPrice) / float64(gridConfig.GridCount-1)
// Initialize grid levels
at.initializeGridLevels(price, gridConfig)
at.gridState.IsInitialized = true
// CRITICAL: Set leverage on exchange before trading
if err := at.trader.SetLeverage(gridConfig.Symbol, gridConfig.Leverage); err != nil {
logger.Warnf("[Grid] Failed to set leverage %dx on exchange: %v", gridConfig.Leverage, err)
// Not fatal - continue with default leverage
} else {
logger.Infof("[Grid] Leverage set to %dx for %s", gridConfig.Leverage, gridConfig.Symbol)
}
logger.Infof("📊 [Grid] Initialized: %d levels, $%.2f - $%.2f, spacing $%.2f",
gridConfig.GridCount, at.gridState.LowerPrice, at.gridState.UpperPrice, at.gridState.GridSpacing)
return nil
}
// calculateDefaultBounds calculates default bounds based on price
func (at *AutoTrader) calculateDefaultBounds(price float64, config *store.GridStrategyConfig) {
// Default: ±3% from current price
multiplier := 0.03 * float64(config.GridCount) / 10
at.gridState.UpperPrice = price * (1 + multiplier)
at.gridState.LowerPrice = price * (1 - multiplier)
}
// calculateATRBounds calculates bounds using ATR
func (at *AutoTrader) calculateATRBounds(price float64, mktData *market.Data, config *store.GridStrategyConfig) {
atr := 0.0
if mktData.LongerTermContext != nil {
atr = mktData.LongerTermContext.ATR14
}
if atr <= 0 {
at.calculateDefaultBounds(price, config)
return
}
multiplier := config.ATRMultiplier
if multiplier <= 0 {
multiplier = 2.0
}
halfRange := atr * multiplier
at.gridState.UpperPrice = price + halfRange
at.gridState.LowerPrice = price - halfRange
}
// initializeGridLevels creates the grid level structure
func (at *AutoTrader) initializeGridLevels(currentPrice float64, config *store.GridStrategyConfig) {
levels := make([]kernel.GridLevelInfo, config.GridCount)
totalWeight := 0.0
weights := make([]float64, config.GridCount)
// Calculate weights based on distribution
for i := 0; i < config.GridCount; i++ {
switch config.Distribution {
case "gaussian":
// Gaussian distribution - more weight in the middle
center := float64(config.GridCount-1) / 2
sigma := float64(config.GridCount) / 4
weights[i] = math.Exp(-math.Pow(float64(i)-center, 2) / (2 * sigma * sigma))
case "pyramid":
// Pyramid - more weight at bottom
weights[i] = float64(config.GridCount - i)
default: // uniform
weights[i] = 1.0
}
totalWeight += weights[i]
}
// Create levels
for i := 0; i < config.GridCount; i++ {
price := at.gridState.LowerPrice + float64(i)*at.gridState.GridSpacing
allocatedUSD := config.TotalInvestment * weights[i] / totalWeight
// Determine initial side (below current price = buy, above = sell)
side := "buy"
if price > currentPrice {
side = "sell"
}
levels[i] = kernel.GridLevelInfo{
Index: i,
Price: price,
State: "empty",
Side: side,
AllocatedUSD: allocatedUSD,
}
}
at.gridState.Levels = levels
}
// RunGridCycle executes one grid trading cycle
func (at *AutoTrader) RunGridCycle() error {
// Check if trader is stopped (early exit to prevent trades after Stop() is called)
at.isRunningMutex.RLock()
running := at.isRunning
at.isRunningMutex.RUnlock()
if !running {
logger.Infof("[Grid] Trader is stopped, aborting grid cycle")
return nil
}
if at.gridState == nil || !at.gridState.IsInitialized {
if err := at.InitializeGrid(); err != nil {
return fmt.Errorf("failed to initialize grid: %w", err)
}
}
// CRITICAL: Check for breakout before executing any trades
breakoutType, breakoutPct := at.checkBreakout()
if breakoutType != BreakoutNone {
if err := at.handleBreakout(breakoutType, breakoutPct); err != nil {
return err // Grid paused due to breakout
}
}
// CRITICAL: Check max drawdown
exceeded, drawdown := at.checkMaxDrawdown()
if exceeded {
return at.emergencyExit(fmt.Sprintf("max drawdown exceeded: %.2f%%", drawdown))
}
// CRITICAL: Check daily loss limit
dailyExceeded, dailyLossPct := at.checkDailyLossLimit()
if dailyExceeded {
logger.Errorf("[Grid] Daily loss limit exceeded: %.2f%%", dailyLossPct)
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
return fmt.Errorf("daily loss limit exceeded: %.2f%%", dailyLossPct)
}
// Check multi-period box breakout
if err := at.checkBoxBreakout(); err != nil {
logger.Infof("Box breakout check error: %v", err)
}
// Check for false breakout recovery
if err := at.checkFalseBreakoutRecovery(); err != nil {
logger.Infof("False breakout recovery check error: %v", err)
}
// Check if grid is paused
at.gridState.mu.RLock()
isPaused := at.gridState.IsPaused
at.gridState.mu.RUnlock()
if isPaused {
logger.Infof("[Grid] Grid is paused, skipping cycle")
return nil
}
gridConfig := at.config.StrategyConfig.GridConfig
lang := at.config.StrategyConfig.Language
if lang == "" {
lang = "en"
}
// Build grid context
gridCtx, err := at.buildGridContext()
if err != nil {
return fmt.Errorf("failed to build grid context: %w", err)
}
// Get AI decisions
decision, err := kernel.GetGridDecisions(gridCtx, at.mcpClient, gridConfig, lang)
if err != nil {
return fmt.Errorf("failed to get grid decisions: %w", err)
}
// Check if trader is stopped before executing any decisions (prevent trades after Stop())
at.isRunningMutex.RLock()
running = at.isRunning
at.isRunningMutex.RUnlock()
if !running {
logger.Infof("[Grid] Trader stopped before decision execution, aborting grid cycle")
return nil
}
// Execute decisions
for _, d := range decision.Decisions {
// Check if trader is still running before each decision
at.isRunningMutex.RLock()
running := at.isRunning
at.isRunningMutex.RUnlock()
if !running {
logger.Infof("[Grid] Trader stopped, skipping remaining %d decisions", len(decision.Decisions))
break
}
if err := at.executeGridDecision(&d); err != nil {
logger.Warnf("[Grid] Failed to execute decision %s: %v", d.Action, err)
}
}
// Sync state with exchange
at.syncGridState()
// Save decision record
at.saveGridDecisionRecord(decision)
return nil
}
// buildGridContext builds the context for AI grid decisions
func (at *AutoTrader) buildGridContext() (*kernel.GridContext, error) {
gridConfig := at.config.StrategyConfig.GridConfig
// Get market data
mktData, err := market.GetWithTimeframes(gridConfig.Symbol, []string{"5m", "4h"}, "5m", 50)
if err != nil {
return nil, fmt.Errorf("failed to get market data: %w", err)
}
// Build base context from market data
ctx := kernel.BuildGridContextFromMarketData(mktData, gridConfig)
// Add grid state
at.gridState.mu.RLock()
ctx.Levels = at.gridState.Levels
ctx.UpperPrice = at.gridState.UpperPrice
ctx.LowerPrice = at.gridState.LowerPrice
ctx.GridSpacing = at.gridState.GridSpacing
ctx.IsPaused = at.gridState.IsPaused
ctx.TotalProfit = at.gridState.TotalProfit
ctx.TotalTrades = at.gridState.TotalTrades
ctx.WinningTrades = at.gridState.WinningTrades
ctx.MaxDrawdown = at.gridState.MaxDrawdown
ctx.DailyPnL = at.gridState.DailyPnL
// Count active orders and filled levels
for _, level := range at.gridState.Levels {
if level.State == "pending" {
ctx.ActiveOrderCount++
} else if level.State == "filled" {
ctx.FilledLevelCount++
}
}
at.gridState.mu.RUnlock()
// Get account info
balance, err := at.trader.GetBalance()
if err == nil {
if equity, ok := balance["total_equity"].(float64); ok {
ctx.TotalEquity = equity
}
if available, ok := balance["availableBalance"].(float64); ok {
ctx.AvailableBalance = available
}
if unrealized, ok := balance["totalUnrealizedProfit"].(float64); ok {
ctx.UnrealizedPnL = unrealized
}
}
// Get current position
positions, err := at.trader.GetPositions()
if err == nil {
for _, pos := range positions {
if sym, ok := pos["symbol"].(string); ok && sym == gridConfig.Symbol {
if size, ok := pos["positionAmt"].(float64); ok {
ctx.CurrentPosition = size
}
}
}
}
return ctx, nil
}
// executeGridDecision executes a single grid decision
func (at *AutoTrader) executeGridDecision(d *kernel.Decision) error {
switch d.Action {
case "place_buy_limit":
return at.placeGridLimitOrder(d, "BUY")
case "place_sell_limit":
return at.placeGridLimitOrder(d, "SELL")
case "cancel_order":
return at.cancelGridOrder(d)
case "cancel_all_orders":
return at.cancelAllGridOrders()
case "pause_grid":
return at.pauseGrid(d.Reasoning)
case "resume_grid":
return at.resumeGrid()
case "adjust_grid":
return at.adjustGrid(d)
case "hold":
logger.Infof("[Grid] Holding current state: %s", d.Reasoning)
return nil
// Support standard actions for closing positions
case "close_long":
_, err := at.trader.CloseLong(d.Symbol, d.Quantity)
return err
case "close_short":
_, err := at.trader.CloseShort(d.Symbol, d.Quantity)
return err
default:
logger.Warnf("[Grid] Unknown action: %s", d.Action)
return nil
}
}
// checkTotalPositionLimit checks if adding a new position would exceed total limits
// Returns: (allowed bool, currentPositionValue float64, maxAllowed float64)
func (at *AutoTrader) checkTotalPositionLimit(symbol string, additionalValue float64) (bool, float64, float64) {
gridConfig := at.config.StrategyConfig.GridConfig
// Calculate max allowed total position value
// Total position should not exceed: TotalInvestment × Leverage
maxTotalPositionValue := gridConfig.TotalInvestment * float64(gridConfig.Leverage)
// Get current position value from exchange
currentPositionValue := 0.0
positions, err := at.trader.GetPositions()
if err == nil {
for _, pos := range positions {
if sym, ok := pos["symbol"].(string); ok && sym == symbol {
if size, ok := pos["positionAmt"].(float64); ok {
if price, ok := pos["markPrice"].(float64); ok {
currentPositionValue = math.Abs(size) * price
} else if entryPrice, ok := pos["entryPrice"].(float64); ok {
currentPositionValue = math.Abs(size) * entryPrice
}
}
}
}
}
// Also count pending orders as potential position
at.gridState.mu.RLock()
pendingValue := 0.0
for _, level := range at.gridState.Levels {
if level.State == "pending" {
pendingValue += level.OrderQuantity * level.Price
}
}
at.gridState.mu.RUnlock()
totalAfterOrder := currentPositionValue + pendingValue + additionalValue
allowed := totalAfterOrder <= maxTotalPositionValue
return allowed, currentPositionValue + pendingValue, maxTotalPositionValue
}
// placeGridLimitOrder places a limit order for grid trading
func (at *AutoTrader) placeGridLimitOrder(d *kernel.Decision, side string) error {
// Check if trader supports GridTrader interface
gridTrader, ok := at.trader.(GridTrader)
if !ok {
// Fallback to adapter
gridTrader = NewGridTraderAdapter(at.trader)
}
gridConfig := at.config.StrategyConfig.GridConfig
// CRITICAL: Validate and cap quantity to prevent excessive position sizes
// This protects against AI miscalculations or leverage misconfigurations
quantity := d.Quantity
if d.Price > 0 && gridConfig.TotalInvestment > 0 {
// Calculate max allowed position value per grid level
// Each level gets proportional share of total investment
maxMarginPerLevel := gridConfig.TotalInvestment / float64(gridConfig.GridCount)
maxPositionValuePerLevel := maxMarginPerLevel * float64(gridConfig.Leverage)
maxQuantityPerLevel := maxPositionValuePerLevel / d.Price
// Also get the level's allocated USD for additional validation
at.gridState.mu.RLock()
var levelAllocatedUSD float64
if d.LevelIndex >= 0 && d.LevelIndex < len(at.gridState.Levels) {
levelAllocatedUSD = at.gridState.Levels[d.LevelIndex].AllocatedUSD
}
at.gridState.mu.RUnlock()
// Use level-specific allocation if available
if levelAllocatedUSD > 0 {
levelMaxPositionValue := levelAllocatedUSD * float64(gridConfig.Leverage)
levelMaxQuantity := levelMaxPositionValue / d.Price
if levelMaxQuantity < maxQuantityPerLevel {
maxQuantityPerLevel = levelMaxQuantity
}
}
// Cap quantity if it exceeds the maximum allowed
if quantity > maxQuantityPerLevel {
logger.Warnf("[Grid] ⚠️ Quantity %.4f exceeds max allowed %.4f (position_value $%.2f > max $%.2f), capping",
quantity, maxQuantityPerLevel, quantity*d.Price, maxPositionValuePerLevel)
quantity = maxQuantityPerLevel
}
// Safety check: ensure position value is reasonable (within 2x of intended max as absolute limit)
positionValue := quantity * d.Price
absoluteMaxValue := gridConfig.TotalInvestment * float64(gridConfig.Leverage) * 2 // 2x safety margin
if positionValue > absoluteMaxValue {
logger.Errorf("[Grid] CRITICAL: Position value $%.2f exceeds absolute max $%.2f! Rejecting order.",
positionValue, absoluteMaxValue)
return fmt.Errorf("position value $%.2f exceeds safety limit $%.2f", positionValue, absoluteMaxValue)
}
}
// CRITICAL: Check total position limit before placing order
orderValue := quantity * d.Price
allowed, currentValue, maxValue := at.checkTotalPositionLimit(d.Symbol, orderValue)
if !allowed {
logger.Errorf("[Grid] TOTAL POSITION LIMIT EXCEEDED: current=$%.2f + order=$%.2f > max=$%.2f. Rejecting order.",
currentValue, orderValue, maxValue)
return fmt.Errorf("total position value $%.2f would exceed limit $%.2f", currentValue+orderValue, maxValue)
}
req := &LimitOrderRequest{
Symbol: d.Symbol,
Side: side,
Price: d.Price,
Quantity: quantity, // Use validated/capped quantity
Leverage: gridConfig.Leverage,
PostOnly: gridConfig.UseMakerOnly,
ReduceOnly: false,
ClientID: fmt.Sprintf("grid-%d-%d", d.LevelIndex, time.Now().UnixNano()%1000000),
}
result, err := gridTrader.PlaceLimitOrder(req)
if err != nil {
return fmt.Errorf("failed to place limit order: %w", err)
}
// Update grid level state
at.gridState.mu.Lock()
if d.LevelIndex >= 0 && d.LevelIndex < len(at.gridState.Levels) {
at.gridState.Levels[d.LevelIndex].State = "pending"
at.gridState.Levels[d.LevelIndex].OrderID = result.OrderID
at.gridState.Levels[d.LevelIndex].OrderQuantity = d.Quantity
at.gridState.OrderBook[result.OrderID] = d.LevelIndex
}
at.gridState.mu.Unlock()
logger.Infof("[Grid] Placed %s limit order at $%.2f, qty=%.4f, level=%d, orderID=%s",
side, d.Price, d.Quantity, d.LevelIndex, result.OrderID)
return nil
}
// cancelGridOrder cancels a specific grid order
func (at *AutoTrader) cancelGridOrder(d *kernel.Decision) error {
gridTrader, ok := at.trader.(GridTrader)
if !ok {
gridTrader = NewGridTraderAdapter(at.trader)
}
if err := gridTrader.CancelOrder(d.Symbol, d.OrderID); err != nil {
return fmt.Errorf("failed to cancel order: %w", err)
}
// Update state
at.gridState.mu.Lock()
if levelIdx, ok := at.gridState.OrderBook[d.OrderID]; ok {
if levelIdx >= 0 && levelIdx < len(at.gridState.Levels) {
at.gridState.Levels[levelIdx].State = "empty"
at.gridState.Levels[levelIdx].OrderID = ""
at.gridState.Levels[levelIdx].OrderQuantity = 0
}
delete(at.gridState.OrderBook, d.OrderID)
}
at.gridState.mu.Unlock()
logger.Infof("[Grid] Cancelled order: %s", d.OrderID)
return nil
}
// cancelAllGridOrders cancels all grid orders
func (at *AutoTrader) cancelAllGridOrders() error {
gridConfig := at.config.StrategyConfig.GridConfig
if err := at.trader.CancelAllOrders(gridConfig.Symbol); err != nil {
return fmt.Errorf("failed to cancel all orders: %w", err)
}
// Reset all pending levels
at.gridState.mu.Lock()
for i := range at.gridState.Levels {
if at.gridState.Levels[i].State == "pending" {
at.gridState.Levels[i].State = "empty"
at.gridState.Levels[i].OrderID = ""
at.gridState.Levels[i].OrderQuantity = 0
}
}
at.gridState.OrderBook = make(map[string]int)
at.gridState.mu.Unlock()
logger.Infof("[Grid] Cancelled all orders")
return nil
}
// pauseGrid pauses grid trading
func (at *AutoTrader) pauseGrid(reason string) error {
at.cancelAllGridOrders()
at.gridState.mu.Lock()
at.gridState.IsPaused = true
at.gridState.mu.Unlock()
logger.Infof("[Grid] Paused: %s", reason)
return nil
}
// resumeGrid resumes grid trading
func (at *AutoTrader) resumeGrid() error {
at.gridState.mu.Lock()
at.gridState.IsPaused = false
at.gridState.mu.Unlock()
logger.Infof("[Grid] Resumed")
return nil
}
// adjustGrid adjusts grid parameters
func (at *AutoTrader) adjustGrid(d *kernel.Decision) error {
// Cancel existing orders first
at.cancelAllGridOrders()
gridConfig := at.config.StrategyConfig.GridConfig
// Get current price
price, err := at.trader.GetMarketPrice(gridConfig.Symbol)
if err != nil {
return fmt.Errorf("failed to get market price: %w", err)
}
// Reinitialize grid levels
at.initializeGridLevels(price, gridConfig)
logger.Infof("[Grid] Adjusted grid bounds around price $%.2f", price)
return nil
}
// syncGridState syncs grid state with exchange
func (at *AutoTrader) syncGridState() {
gridConfig := at.config.StrategyConfig.GridConfig
// Get open orders from exchange
openOrders, err := at.trader.GetOpenOrders(gridConfig.Symbol)
if err != nil {
logger.Warnf("[Grid] Failed to get open orders: %v", err)
return
}
// Build set of active order IDs
activeOrderIDs := make(map[string]bool)
for _, order := range openOrders {
activeOrderIDs[order.OrderID] = true
}
// Get current positions to verify fills
positions, err := at.trader.GetPositions()
currentPositionSize := 0.0
if err != nil {
logger.Warnf("[Grid] Failed to get positions for state sync: %v", err)
} else {
for _, pos := range positions {
if sym, ok := pos["symbol"].(string); ok && sym == gridConfig.Symbol {
if size, ok := pos["positionAmt"].(float64); ok {
currentPositionSize = size
}
}
}
}
// Update levels based on order status
at.gridState.mu.Lock()
expectedPositionSize := 0.0
for _, level := range at.gridState.Levels {
if level.State == "filled" {
expectedPositionSize += level.PositionSize
}
}
for i := range at.gridState.Levels {
level := &at.gridState.Levels[i]
if level.State == "pending" && level.OrderID != "" {
if !activeOrderIDs[level.OrderID] {
// Order no longer exists - check if position changed to determine fill vs cancel
// This is a heuristic - ideally we'd query order history
// If current position is larger than expected filled positions, this order was likely filled
if math.Abs(currentPositionSize) > math.Abs(expectedPositionSize) {
// Position increased, likely filled
level.State = "filled"
level.PositionEntry = level.Price
level.PositionSize = level.OrderQuantity
at.gridState.TotalTrades++
logger.Infof("[Grid] Level %d order filled at $%.2f", i, level.Price)
} else {
// Position didn't increase as expected, likely cancelled
level.State = "empty"
level.OrderID = ""
level.OrderQuantity = 0
logger.Infof("[Grid] Level %d order cancelled/expired", i)
}
delete(at.gridState.OrderBook, level.OrderID)
}
}
}
at.gridState.mu.Unlock()
logger.Debugf("[Grid] Synced state: position=%.4f, orders=%d", currentPositionSize, len(openOrders))
// Check stop loss
at.checkAndExecuteStopLoss()
// Check grid skew
at.autoAdjustGrid()
}
// saveGridDecisionRecord saves the grid decision to database
func (at *AutoTrader) saveGridDecisionRecord(decision *kernel.FullDecision) {
if at.store == nil {
return
}
at.cycleNumber++
record := &store.DecisionRecord{
TraderID: at.id,
CycleNumber: at.cycleNumber,
Timestamp: time.Now().UTC(),
SystemPrompt: decision.SystemPrompt,
InputPrompt: decision.UserPrompt,
CoTTrace: decision.CoTTrace,
RawResponse: decision.RawResponse,
AIRequestDurationMs: decision.AIRequestDurationMs,
Success: true,
}
if len(decision.Decisions) > 0 {
decisionJSON, _ := json.MarshalIndent(decision.Decisions, "", " ")
record.DecisionJSON = string(decisionJSON)
// Convert kernel.Decision to store.DecisionAction for frontend display
for _, d := range decision.Decisions {
actionRecord := store.DecisionAction{
Action: d.Action,
Symbol: d.Symbol,
Quantity: d.Quantity,
Leverage: d.Leverage,
Price: d.Price,
StopLoss: d.StopLoss,
TakeProfit: d.TakeProfit,
Confidence: d.Confidence,
Reasoning: d.Reasoning,
Timestamp: time.Now().UTC(),
Success: true, // Grid decisions are executed inline
}
record.Decisions = append(record.Decisions, actionRecord)
}
}
record.ExecutionLog = append(record.ExecutionLog, fmt.Sprintf("Grid cycle completed with %d decisions", len(decision.Decisions)))
if err := at.store.Decision().LogDecision(record); err != nil {
logger.Warnf("[Grid] Failed to save decision record: %v", err)
}
}
// IsGridStrategy returns true if current strategy is grid trading
func (at *AutoTrader) IsGridStrategy() bool {
if at.config.StrategyConfig == nil {
return false
}
return at.config.StrategyConfig.StrategyType == "grid_trading" && at.config.StrategyConfig.GridConfig != nil
}
// checkGridSkew checks if grid is heavily skewed (too many fills on one side)
// Returns: (skewed bool, buyFilledCount int, sellFilledCount int)
func (at *AutoTrader) checkGridSkew() (bool, int, int) {
at.gridState.mu.RLock()
defer at.gridState.mu.RUnlock()
buyFilled := 0
sellFilled := 0
buyEmpty := 0
sellEmpty := 0
for _, level := range at.gridState.Levels {
if level.Side == "buy" {
if level.State == "filled" {
buyFilled++
} else if level.State == "empty" {
buyEmpty++
}
} else {
if level.State == "filled" {
sellFilled++
} else if level.State == "empty" {
sellEmpty++
}
}
}
// Grid is skewed if one side has 3x more fills than the other
// or if one side is completely empty
skewed := false
if buyFilled > 0 && sellFilled == 0 && sellEmpty > 5 {
skewed = true // All buys filled, no sells
} else if sellFilled > 0 && buyFilled == 0 && buyEmpty > 5 {
skewed = true // All sells filled, no buys
} else if buyFilled >= 3*sellFilled && buyFilled > 5 {
skewed = true
} else if sellFilled >= 3*buyFilled && sellFilled > 5 {
skewed = true
}
return skewed, buyFilled, sellFilled
}
// autoAdjustGrid automatically adjusts grid when heavily skewed
func (at *AutoTrader) autoAdjustGrid() {
skewed, buyFilled, sellFilled := at.checkGridSkew()
if !skewed {
return
}
logger.Warnf("[Grid] Grid heavily skewed: buy_filled=%d, sell_filled=%d. Auto-adjusting...",
buyFilled, sellFilled)
gridConfig := at.config.StrategyConfig.GridConfig
// Get current price
currentPrice, err := at.trader.GetMarketPrice(gridConfig.Symbol)
if err != nil {
logger.Errorf("[Grid] Failed to get price for auto-adjust: %v", err)
return
}
// Check if price is near grid boundary
at.gridState.mu.RLock()
upper := at.gridState.UpperPrice
lower := at.gridState.LowerPrice
at.gridState.mu.RUnlock()
// Only adjust if price has moved significantly (>30% of grid range)
gridRange := upper - lower
midPrice := (upper + lower) / 2
priceDeviation := math.Abs(currentPrice - midPrice)
if priceDeviation < gridRange*0.3 {
return // Price still near center, don't adjust
}
logger.Infof("[Grid] Adjusting grid around new price $%.2f", currentPrice)
// Cancel existing orders first (before taking the lock for state modification)
if err := at.cancelAllGridOrders(); err != nil {
logger.Errorf("[Grid] Failed to cancel orders during auto-adjust: %v", err)
// Continue with adjustment anyway
}
// CRITICAL FIX: Hold lock for the entire adjustment operation to ensure atomicity
at.gridState.mu.Lock()
defer at.gridState.mu.Unlock()
// Preserve filled positions before reinitializing
filledPositions := make(map[int]kernel.GridLevelInfo)
for i, level := range at.gridState.Levels {
if level.State == "filled" {
filledPositions[i] = level
}
}
// CRITICAL FIX: Recalculate grid bounds centered on current price
// Use the same logic as InitializeGrid() - either ATR-based or default percentage
if gridConfig.UseATRBounds {
// Try to get ATR for bound calculation
mktData, err := market.GetWithTimeframes(gridConfig.Symbol, []string{"4h"}, "4h", 20)
if err != nil {
logger.Warnf("[Grid] Failed to get market data for ATR during adjust: %v, using default bounds", err)
at.calculateDefaultBoundsLocked(currentPrice, gridConfig)
} else {
at.calculateATRBoundsLocked(currentPrice, mktData, gridConfig)
}
} else {
// Use default bounds calculation (scaled by grid count)
at.calculateDefaultBoundsLocked(currentPrice, gridConfig)
}
// Recalculate grid spacing based on new bounds
at.gridState.GridSpacing = (at.gridState.UpperPrice - at.gridState.LowerPrice) / float64(gridConfig.GridCount-1)
logger.Infof("[Grid] New bounds: $%.2f - $%.2f, spacing: $%.2f",
at.gridState.LowerPrice, at.gridState.UpperPrice, at.gridState.GridSpacing)
// Initialize new grid levels (without lock since we already hold it)
at.initializeGridLevelsLocked(currentPrice, gridConfig)
// CRITICAL FIX: Restore filled positions - find closest new level for each filled position
for _, filledLevel := range filledPositions {
closestIdx := -1
closestDist := math.MaxFloat64
for i, newLevel := range at.gridState.Levels {
dist := math.Abs(newLevel.Price - filledLevel.PositionEntry)
if dist < closestDist {
closestDist = dist
closestIdx = i
}
}
if closestIdx >= 0 {
// Restore the filled state to the closest level
at.gridState.Levels[closestIdx].State = "filled"
at.gridState.Levels[closestIdx].PositionEntry = filledLevel.PositionEntry
at.gridState.Levels[closestIdx].PositionSize = filledLevel.PositionSize
at.gridState.Levels[closestIdx].UnrealizedPnL = filledLevel.UnrealizedPnL
at.gridState.Levels[closestIdx].OrderID = filledLevel.OrderID
at.gridState.Levels[closestIdx].OrderQuantity = filledLevel.OrderQuantity
logger.Infof("[Grid] Restored filled position at level %d (entry $%.2f)", closestIdx, filledLevel.PositionEntry)
}
}
}
// calculateDefaultBoundsLocked calculates default bounds (caller must hold lock)
func (at *AutoTrader) calculateDefaultBoundsLocked(price float64, config *store.GridStrategyConfig) {
// Default: ±3% from current price, scaled by grid count
multiplier := 0.03 * float64(config.GridCount) / 10
at.gridState.UpperPrice = price * (1 + multiplier)
at.gridState.LowerPrice = price * (1 - multiplier)
}
// calculateATRBoundsLocked calculates bounds using ATR (caller must hold lock)
func (at *AutoTrader) calculateATRBoundsLocked(price float64, mktData *market.Data, config *store.GridStrategyConfig) {
atr := 0.0
if mktData.LongerTermContext != nil {
atr = mktData.LongerTermContext.ATR14
}
if atr <= 0 {
at.calculateDefaultBoundsLocked(price, config)
return
}
multiplier := config.ATRMultiplier
if multiplier <= 0 {
multiplier = 2.0
}
halfRange := atr * multiplier
at.gridState.UpperPrice = price + halfRange
at.gridState.LowerPrice = price - halfRange
}
// initializeGridLevelsLocked creates the grid level structure (caller must hold lock)
func (at *AutoTrader) initializeGridLevelsLocked(currentPrice float64, config *store.GridStrategyConfig) {
levels := make([]kernel.GridLevelInfo, config.GridCount)
totalWeight := 0.0
weights := make([]float64, config.GridCount)
// Calculate weights based on distribution
for i := 0; i < config.GridCount; i++ {
switch config.Distribution {
case "gaussian":
// Gaussian distribution - more weight in the middle
center := float64(config.GridCount-1) / 2
sigma := float64(config.GridCount) / 4
weights[i] = math.Exp(-math.Pow(float64(i)-center, 2) / (2 * sigma * sigma))
case "pyramid":
// Pyramid - more weight at bottom
weights[i] = float64(config.GridCount - i)
default: // uniform
weights[i] = 1.0
}
totalWeight += weights[i]
}
// Create levels
for i := 0; i < config.GridCount; i++ {
price := at.gridState.LowerPrice + float64(i)*at.gridState.GridSpacing
allocatedUSD := config.TotalInvestment * weights[i] / totalWeight
// Determine initial side (below current price = buy, above = sell)
side := "buy"
if price > currentPrice {
side = "sell"
}
levels[i] = kernel.GridLevelInfo{
Index: i,
Price: price,
State: "empty",
Side: side,
AllocatedUSD: allocatedUSD,
}
}
at.gridState.Levels = levels
}
// GridRiskInfo contains risk information for frontend display
type GridRiskInfo struct {
CurrentLeverage int `json:"current_leverage"`
EffectiveLeverage float64 `json:"effective_leverage"`
RecommendedLeverage int `json:"recommended_leverage"`
CurrentPosition float64 `json:"current_position"`
MaxPosition float64 `json:"max_position"`
PositionPercent float64 `json:"position_percent"`
LiquidationPrice float64 `json:"liquidation_price"`
LiquidationDistance float64 `json:"liquidation_distance"`
RegimeLevel string `json:"regime_level"`
ShortBoxUpper float64 `json:"short_box_upper"`
ShortBoxLower float64 `json:"short_box_lower"`
MidBoxUpper float64 `json:"mid_box_upper"`
MidBoxLower float64 `json:"mid_box_lower"`
LongBoxUpper float64 `json:"long_box_upper"`
LongBoxLower float64 `json:"long_box_lower"`
CurrentPrice float64 `json:"current_price"`
BreakoutLevel string `json:"breakout_level"`
BreakoutDirection string `json:"breakout_direction"`
}
// GetGridRiskInfo returns current risk information for frontend display
func (at *AutoTrader) GetGridRiskInfo() *GridRiskInfo {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig == nil {
return &GridRiskInfo{}
}
at.gridState.mu.RLock()
defer at.gridState.mu.RUnlock()
// Get current price
currentPrice, _ := at.trader.GetMarketPrice(gridConfig.Symbol)
// Calculate effective leverage
totalInvestment := gridConfig.TotalInvestment
leverage := gridConfig.Leverage
// Get current position value
positions, _ := at.trader.GetPositions()
var currentPositionValue float64
var currentPositionSize float64
for _, pos := range positions {
if sym, _ := pos["symbol"].(string); sym == gridConfig.Symbol {
size, _ := pos["positionAmt"].(float64)
entry, _ := pos["entryPrice"].(float64)
currentPositionValue = math.Abs(size * entry)
currentPositionSize = size
break
}
}
effectiveLeverage := 0.0
if totalInvestment > 0 {
effectiveLeverage = currentPositionValue / totalInvestment
}
// Calculate max position based on regime
regimeLevel := market.RegimeLevel(at.gridState.CurrentRegimeLevel)
if regimeLevel == "" {
regimeLevel = market.RegimeLevelStandard
}
// Use default position limit since GridStrategyConfig doesn't have regime-specific limits
// Default is 70% for standard regime
maxPositionPct := 70.0
switch regimeLevel {
case market.RegimeLevelNarrow:
maxPositionPct = 40.0
case market.RegimeLevelStandard:
maxPositionPct = 70.0
case market.RegimeLevelWide:
maxPositionPct = 60.0
case market.RegimeLevelVolatile:
maxPositionPct = 40.0
}
maxPosition := totalInvestment * maxPositionPct / 100 * float64(leverage)
// Use default leverage limits since GridStrategyConfig doesn't have regime-specific limits
recommendedLeverage := leverage
switch regimeLevel {
case market.RegimeLevelNarrow:
recommendedLeverage = min(leverage, 2)
case market.RegimeLevelStandard:
recommendedLeverage = min(leverage, 4)
case market.RegimeLevelWide:
recommendedLeverage = min(leverage, 3)
case market.RegimeLevelVolatile:
recommendedLeverage = min(leverage, 2)
}
// Calculate liquidation distance and price only when there's a position
var liquidationDistance float64
var liquidationPrice float64
if currentPositionSize != 0 && currentPrice > 0 {
liquidationDistance = 100.0 / float64(leverage) * 0.9 // ~90% of theoretical max
if currentPositionSize > 0 {
// Long position: liquidation below entry
liquidationPrice = currentPrice * (1 - liquidationDistance/100)
} else {
// Short position: liquidation above entry
liquidationPrice = currentPrice * (1 + liquidationDistance/100)
}
}
positionPercent := 0.0
if maxPosition > 0 {
positionPercent = currentPositionValue / maxPosition * 100
}
return &GridRiskInfo{
CurrentLeverage: leverage,
EffectiveLeverage: effectiveLeverage,
RecommendedLeverage: recommendedLeverage,
CurrentPosition: currentPositionValue,
MaxPosition: maxPosition,
PositionPercent: positionPercent,
LiquidationPrice: liquidationPrice,
LiquidationDistance: liquidationDistance,
RegimeLevel: string(regimeLevel),
ShortBoxUpper: at.gridState.ShortBoxUpper,
ShortBoxLower: at.gridState.ShortBoxLower,
MidBoxUpper: at.gridState.MidBoxUpper,
MidBoxLower: at.gridState.MidBoxLower,
LongBoxUpper: at.gridState.LongBoxUpper,
LongBoxLower: at.gridState.LongBoxLower,
CurrentPrice: currentPrice,
BreakoutLevel: at.gridState.BreakoutLevel,
BreakoutDirection: at.gridState.BreakoutDirection,
}
}
// checkAndExecuteStopLoss checks if any filled level has exceeded stop loss and closes it
func (at *AutoTrader) checkAndExecuteStopLoss() {
gridConfig := at.config.StrategyConfig.GridConfig
if gridConfig.StopLossPct <= 0 {
return // Stop loss not configured
}
currentPrice, err := at.trader.GetMarketPrice(gridConfig.Symbol)
if err != nil {
logger.Warnf("[Grid] Failed to get market price for stop loss check: %v", err)
return
}
at.gridState.mu.Lock()
defer at.gridState.mu.Unlock()
for i := range at.gridState.Levels {
level := &at.gridState.Levels[i]
if level.State != "filled" || level.PositionEntry <= 0 {
continue
}
// Calculate loss percentage
var lossPct float64
if level.Side == "buy" {
// Long position: loss when price drops
lossPct = (level.PositionEntry - currentPrice) / level.PositionEntry * 100
} else {
// Short position: loss when price rises
lossPct = (currentPrice - level.PositionEntry) / level.PositionEntry * 100
}
// Check if stop loss triggered
if lossPct >= gridConfig.StopLossPct {
logger.Warnf("[Grid] STOP LOSS TRIGGERED: Level %d, entry=$%.2f, current=$%.2f, loss=%.2f%%",
i, level.PositionEntry, currentPrice, lossPct)
// Close the position
var closeErr error
if level.Side == "buy" {
_, closeErr = at.trader.CloseLong(gridConfig.Symbol, level.PositionSize)
} else {
_, closeErr = at.trader.CloseShort(gridConfig.Symbol, level.PositionSize)
}
if closeErr != nil {
logger.Errorf("[Grid] Failed to execute stop loss for level %d: %v", i, closeErr)
} else {
level.State = "stopped"
realizedLoss := -lossPct * level.AllocatedUSD / 100
level.UnrealizedPnL = realizedLoss
at.gridState.TotalTrades++
// Update daily PnL tracking (lock already held, update directly)
at.gridState.DailyPnL += realizedLoss
at.gridState.TotalProfit += realizedLoss
logger.Infof("[Grid] Stop loss executed: Level %d closed at $%.2f (loss %.2f%%)",
i, currentPrice, lossPct)
}
}
}
}