refactor(trader): name trading-logic magic numbers

- marginOverheadFactor/takerFeeRate/positionSizeSafetyFactor in sizing math
- aggressiveBuyPriceFactor/aggressiveSellPriceFactor in hyperliquid and aster
  simulated market orders
- dustQuantityEpsilon in FIFO position rebuild

trader/aster/trader_orders.go

@@ -9,6 +9,14 @@ import (
 	"strings"
 )
 
+// Aggressive limit prices simulate market orders: buy slightly above and sell
+// slightly below the current price so limit orders fill immediately while
+// capping slippage at 1%.
+const (
+	aggressiveBuyPriceFactor  = 1.01
+	aggressiveSellPriceFactor = 0.99
+)
+
 // OpenLong Open long position
 func (t *AsterTrader) OpenLong(symbol string, quantity float64, leverage int) (map[string]interface{}, error) {
 	// Cancel all pending orders before opening position to prevent position stacking from residual orders
@@ -34,7 +42,7 @@ func (t *AsterTrader) OpenLong(symbol string, quantity float64, leverage int) (m
 	}
 
 	// Use limit order to simulate market order (price set slightly higher to ensure execution)
-	limitPrice := price * 1.01
+	limitPrice := price * aggressiveBuyPriceFactor
 
 	// Format price and quantity to correct precision
 	formattedPrice, err := t.formatPrice(symbol, limitPrice)
@@ -107,7 +115,7 @@ func (t *AsterTrader) OpenShort(symbol string, quantity float64, leverage int) (
 	}
 
 	// Use limit order to simulate market order (price set slightly lower to ensure execution)
-	limitPrice := price * 0.99
+	limitPrice := price * aggressiveSellPriceFactor
 
 	// Format price and quantity to correct precision
 	formattedPrice, err := t.formatPrice(symbol, limitPrice)
@@ -182,7 +190,7 @@ func (t *AsterTrader) CloseLong(symbol string, quantity float64) (map[string]int
 		return nil, err
 	}
 
-	limitPrice := price * 0.99
+	limitPrice := price * aggressiveSellPriceFactor
 
 	// Format price and quantity to correct precision
 	formattedPrice, err := t.formatPrice(symbol, limitPrice)
@@ -265,7 +273,7 @@ func (t *AsterTrader) CloseShort(symbol string, quantity float64) (map[string]in
 		return nil, err
 	}
 
-	limitPrice := price * 1.01
+	limitPrice := price * aggressiveBuyPriceFactor
 
 	// Format price and quantity to correct precision
 	formattedPrice, err := t.formatPrice(symbol, limitPrice)

trader/auto_trader_orders.go

@@ -9,6 +9,20 @@ import (
 	"time"
 )
 
+const (
+	// marginOverheadFactor and takerFeeRate approximate the total funds an
+	// exchange reserves when opening a position:
+	// totalRequired ≈ positionSize/leverage + positionSize*takerFeeRate + positionSize/leverage*1%
+	//              = positionSize * (marginOverheadFactor/leverage + takerFeeRate)
+	marginOverheadFactor = 1.01
+	takerFeeRate         = 0.001
+
+	// positionSizeSafetyFactor leaves a buffer below the maximum affordable
+	// position size so a price move between sizing and execution cannot
+	// trigger an insufficient-margin rejection.
+	positionSizeSafetyFactor = 0.98
+)
+
 // executeDecisionWithRecord executes AI decision and records detailed information
 func (at *AutoTrader) executeDecisionWithRecord(decision *kernel.Decision, actionRecord *store.DecisionAction) error {
 	switch decision.Action {
@@ -83,15 +97,12 @@ func (at *AutoTrader) executeOpenLongWithRecord(decision *kernel.Decision, actio
 	}
 
 	// ⚠️ Auto-adjust position size if insufficient margin
-	// Formula: totalRequired = positionSize/leverage + positionSize*0.001 + positionSize/leverage*0.01
+	marginFactor := marginOverheadFactor/float64(decision.Leverage) + takerFeeRate
-	//        = positionSize * (1.01/leverage + 0.001)
-	marginFactor := 1.01/float64(decision.Leverage) + 0.001
 	maxAffordablePositionSize := availableBalance / marginFactor
 
 	actualPositionSize := decision.PositionSizeUSD
 	if actualPositionSize > maxAffordablePositionSize {
-		// Use 98% of max to leave buffer for price fluctuation
+		adjustedSize := maxAffordablePositionSize * positionSizeSafetyFactor
-		adjustedSize := maxAffordablePositionSize * 0.98
 		logger.Infof("  ⚠️ Position size %.2f exceeds max affordable %.2f, auto-reducing to %.2f",
 			actualPositionSize, maxAffordablePositionSize, adjustedSize)
 		actualPositionSize = adjustedSize
@@ -200,15 +211,12 @@ func (at *AutoTrader) executeOpenShortWithRecord(decision *kernel.Decision, acti
 	}
 
 	// ⚠️ Auto-adjust position size if insufficient margin
-	// Formula: totalRequired = positionSize/leverage + positionSize*0.001 + positionSize/leverage*0.01
+	marginFactor := marginOverheadFactor/float64(decision.Leverage) + takerFeeRate
-	//        = positionSize * (1.01/leverage + 0.001)
-	marginFactor := 1.01/float64(decision.Leverage) + 0.001
 	maxAffordablePositionSize := availableBalance / marginFactor
 
 	actualPositionSize := decision.PositionSizeUSD
 	if actualPositionSize > maxAffordablePositionSize {
-		// Use 98% of max to leave buffer for price fluctuation
+		adjustedSize := maxAffordablePositionSize * positionSizeSafetyFactor
-		adjustedSize := maxAffordablePositionSize * 0.98
 		logger.Infof("  ⚠️ Position size %.2f exceeds max affordable %.2f, auto-reducing to %.2f",
 			actualPositionSize, maxAffordablePositionSize, adjustedSize)
 		actualPositionSize = adjustedSize

trader/hyperliquid/trader_orders.go

@@ -15,6 +15,14 @@ import (
 	"github.com/sonirico/go-hyperliquid"
 )
 
+// Aggressive limit prices simulate market orders: buy slightly above and sell
+// slightly below the current price so IOC limit orders fill immediately while
+// capping slippage at 1%.
+const (
+	aggressiveBuyPriceFactor  = 1.01
+	aggressiveSellPriceFactor = 0.99
+)
+
 func (t *HyperliquidTrader) placeOrderWithBuilderFee(order hyperliquid.CreateOrderRequest) error {
 	_, err := t.exchange.Order(t.ctx, order, defaultBuilder)
 	if err == nil {
@@ -66,8 +74,8 @@ func (t *HyperliquidTrader) OpenLong(symbol string, quantity float64, leverage i
 	}
 
 	// Price needs to be processed to 5 significant figures
-	aggressivePrice := t.roundPriceToSigfigs(price * 1.01)
+	aggressivePrice := t.roundPriceToSigfigs(price * aggressiveBuyPriceFactor)
-	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*1.01, aggressivePrice)
+	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*aggressiveBuyPriceFactor, aggressivePrice)
 
 	// Handle xyz dex assets differently
 	if isXyz {
@@ -138,8 +146,8 @@ func (t *HyperliquidTrader) OpenShort(symbol string, quantity float64, leverage
 	}
 
 	// Price needs to be processed to 5 significant figures
-	aggressivePrice := t.roundPriceToSigfigs(price * 0.99)
+	aggressivePrice := t.roundPriceToSigfigs(price * aggressiveSellPriceFactor)
-	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*0.99, aggressivePrice)
+	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*aggressiveSellPriceFactor, aggressivePrice)
 
 	// Handle xyz dex assets differently
 	if isXyz {
@@ -220,8 +228,8 @@ func (t *HyperliquidTrader) CloseLong(symbol string, quantity float64) (map[stri
 	}
 
 	// Price needs to be processed to 5 significant figures
-	aggressivePrice := t.roundPriceToSigfigs(price * 0.99)
+	aggressivePrice := t.roundPriceToSigfigs(price * aggressiveSellPriceFactor)
-	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*0.99, aggressivePrice)
+	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*aggressiveSellPriceFactor, aggressivePrice)
 
 	// Handle xyz dex assets differently
 	if isXyz {
@@ -307,8 +315,8 @@ func (t *HyperliquidTrader) CloseShort(symbol string, quantity float64) (map[str
 	}
 
 	// Price needs to be processed to 5 significant figures
-	aggressivePrice := t.roundPriceToSigfigs(price * 1.01)
+	aggressivePrice := t.roundPriceToSigfigs(price * aggressiveBuyPriceFactor)
-	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*1.01, aggressivePrice)
+	logger.Infof("  💰 Price precision handling: %.8f -> %.8f (5 significant figures)", price*aggressiveBuyPriceFactor, aggressivePrice)
 
 	// Handle xyz dex assets differently
 	if isXyz {

trader/position_rebuild.go

@@ -11,6 +11,10 @@ import (
 // All exchanges use this same algorithm to reconstruct position history from trades
 // =============================================================================
 
+// dustQuantityEpsilon is the threshold below which a residual quantity is
+// treated as zero, absorbing float rounding noise from FIFO trade matching.
+const dustQuantityEpsilon = 0.00000001
+
 // openTradeEntry represents an opening trade for position tracking
 type openTradeEntry struct {
 	Price    float64
@@ -130,7 +134,7 @@ func buildClosedPosition(trade TradeRecord, side string, state *positionState) *
 		var weightedSum float64
 		var matchedQty float64
 
-		for i := 0; i < len(state.OpenTrades) && remainingQty > 0.00000001; i++ {
+		for i := 0; i < len(state.OpenTrades) && remainingQty > dustQuantityEpsilon; i++ {
 			ot := &state.OpenTrades[i]
 			matchQty := ot.Quantity
 			if matchQty > remainingQty {
@@ -149,13 +153,13 @@ func buildClosedPosition(trade TradeRecord, side string, state *positionState) *
 			ot.Quantity -= matchQty
 
 			// Remove fully consumed open trade
-			if ot.Quantity <= 0.00000001 {
+			if ot.Quantity <= dustQuantityEpsilon {
 				state.OpenTrades = append(state.OpenTrades[:i], state.OpenTrades[i+1:]...)
 				i--
 			}
 		}
 
-		if matchedQty > 0.00000001 {
+		if matchedQty > dustQuantityEpsilon {
 			entryPrice = weightedSum / matchedQty
 		}
 		state.TotalQty -= trade.Quantity