Update front

src/Managing.WebApp/src/components/organism/Backtest/backtestRowDetails.tsx

@@ -149,6 +149,83 @@ const BacktestRowDetails: React.FC<IBacktestRowDetailsProps> = ({
     return totalVolume * uiFeePercentage;
   };
 
+  // Calculate recommended cooldown based on positions that fail after a win
+  const getCooldownRecommendations = () => {
+    if (positions.length < 2 || !candles || candles.length < 2) {
+      return { percentile75: "0", average: "0", median: "0" };
+    }
+
+    // Determine candle timeframe in milliseconds
+    const candleTimeframeMs = new Date(candles[1].date).getTime() - new Date(candles[0].date).getTime();
+
+    const sortedPositions = [...positions].sort((a, b) => {
+      const dateA = new Date(a.open.date).getTime();
+      const dateB = new Date(b.open.date).getTime();
+      return dateA - dateB;
+    });
+
+    const failAfterWinGaps: number[] = [];
+
+    for (let i = 0; i < sortedPositions.length - 1; i++) {
+      const currentPosition = sortedPositions[i];
+      const nextPosition = sortedPositions[i + 1];
+
+      const currentRealized = currentPosition.profitAndLoss?.realized ?? 0;
+      const nextRealized = nextPosition.profitAndLoss?.realized ?? 0;
+
+      // Check if current position is winning and next position is losing
+      if (currentRealized > 0 && nextRealized <= 0) {
+        // Calculate the close time of the current (winning) position
+        let currentCloseDate: Date | null = null;
+        if (currentPosition.profitAndLoss?.realized != null) {
+          if (currentPosition.profitAndLoss.realized > 0) {
+            currentCloseDate = new Date(currentPosition.takeProfit1.date);
+          } else {
+            currentCloseDate = new Date(currentPosition.stopLoss.date);
+          }
+        }
+
+        if (currentCloseDate) {
+          const nextOpenDate = new Date(nextPosition.open.date);
+          const gapInMs = nextOpenDate.getTime() - currentCloseDate.getTime();
+          
+          if (gapInMs >= 0) { // Only consider positive gaps
+            // Convert milliseconds to number of candles
+            const gapInCandles = Math.floor(gapInMs / candleTimeframeMs);
+            failAfterWinGaps.push(gapInCandles);
+          }
+        }
+      }
+    }
+
+    if (failAfterWinGaps.length === 0) {
+      return { percentile75: "0", average: "0", median: "0" };
+    }
+
+    // Calculate the 75th percentile
+    const sortedGaps = [...failAfterWinGaps].sort((a, b) => a - b);
+    const percentile75Index = Math.floor(sortedGaps.length * 0.75);
+    const percentile75 = sortedGaps[percentile75Index] || 0;
+
+    // Calculate the average
+    const sum = failAfterWinGaps.reduce((acc, gap) => acc + gap, 0);
+    const average = sum / failAfterWinGaps.length;
+
+    // Calculate the median
+    const mid = Math.floor(sortedGaps.length / 2);
+    const median = sortedGaps.length % 2 === 0
+      ? (sortedGaps[mid - 1] + sortedGaps[mid]) / 2
+      : sortedGaps[mid];
+    
+    return {
+      percentile75: Math.ceil(percentile75).toString(),
+      average: Math.ceil(average).toString(),
+      median: Math.ceil(median).toString()
+    };
+  };
+
+  const cooldownRecommendations = getCooldownRecommendations();
+
   return (
     <>
       <div className="grid grid-flow-row">
@@ -236,6 +313,18 @@ const BacktestRowDetails: React.FC<IBacktestRowDetailsProps> = ({
               maximumFractionDigits: 2 
             })}
           ></CardText>
+          <CardText
+            title="Recommended Cooldown"
+            content={cooldownRecommendations.percentile75 + " candles"}
+          ></CardText>
+          <CardText
+            title="Average Cooldown"
+            content={cooldownRecommendations.average + " candles"}
+          ></CardText>
+          <CardText
+            title="Median Cooldown"
+            content={cooldownRecommendations.median + " candles"}
+          ></CardText>
         </div>
         <div>
           <figure>

src/Managing.WebApp/src/components/organism/Backtest/backtestTable.tsx

@@ -18,6 +18,15 @@ const BacktestTable: React.FC<IBacktestCards> = ({ list, isFetching, setBacktest
     stopLoss: 0,
     takeProfit: 0,
   })
+  const [positionTimingStats, setPositionTimingStats] = useState({
+    averageOpenTime: 0,
+    medianOpenTime: 0,
+    losingPositionsAverageOpenTime: 0,
+  })
+  const [cooldownRecommendations, setCooldownRecommendations] = useState({
+    averageCooldown: 0,
+    medianCooldown: 0,
+  })
   const [showBotNameModal, setShowBotNameModal] = useState(false)
   const [isForWatchOnly, setIsForWatchOnly] = useState(false)
   const [currentBacktest, setCurrentBacktest] = useState<Backtest | null>(null)
@@ -314,6 +323,134 @@ const BacktestTable: React.FC<IBacktestCards> = ({ list, isFetching, setBacktest
           stopLoss: stopLoss / optimized.length,
           takeProfit: takeProfit / optimized.length,
         });
+
+        // Calculate position timing statistics
+        const allPositions = list.flatMap(backtest => backtest.positions);
+        const finishedPositions = allPositions.filter(p => p.status === 'Finished');
+        
+        if (finishedPositions.length > 0) {
+          // Calculate position open times in hours
+          const openTimes = finishedPositions.map(position => {
+            const openTime = new Date(position.open.date);
+            // Find the closing trade (either stopLoss or takeProfit that was filled)
+            let closeTime = new Date();
+            
+            if (position.stopLoss.status === 'Filled') {
+              closeTime = new Date(position.stopLoss.date);
+            } else if (position.takeProfit1.status === 'Filled') {
+              closeTime = new Date(position.takeProfit1.date);
+            } else if (position.takeProfit2?.status === 'Filled') {
+              closeTime = new Date(position.takeProfit2.date);
+            }
+            
+            // Return time difference in hours
+            return (closeTime.getTime() - openTime.getTime()) / (1000 * 60 * 60);
+          });
+
+          // Calculate average
+          const averageOpenTime = openTimes.reduce((sum, time) => sum + time, 0) / openTimes.length;
+
+          // Calculate median
+          const sortedTimes = [...openTimes].sort((a, b) => a - b);
+          const medianOpenTime = sortedTimes.length % 2 === 0
+            ? (sortedTimes[sortedTimes.length / 2 - 1] + sortedTimes[sortedTimes.length / 2]) / 2
+            : sortedTimes[Math.floor(sortedTimes.length / 2)];
+
+          // Calculate average for losing positions
+          const losingPositions = finishedPositions.filter(p => (p.profitAndLoss?.realized ?? 0) < 0);
+          let losingPositionsAverageOpenTime = 0;
+          
+          if (losingPositions.length > 0) {
+            const losingOpenTimes = losingPositions.map(position => {
+              const openTime = new Date(position.open.date);
+              let closeTime = new Date();
+              
+              if (position.stopLoss.status === 'Filled') {
+                closeTime = new Date(position.stopLoss.date);
+              } else if (position.takeProfit1.status === 'Filled') {
+                closeTime = new Date(position.takeProfit1.date);
+              } else if (position.takeProfit2?.status === 'Filled') {
+                closeTime = new Date(position.takeProfit2.date);
+              }
+              
+              return (closeTime.getTime() - openTime.getTime()) / (1000 * 60 * 60);
+            });
+            
+            losingPositionsAverageOpenTime = losingOpenTimes.reduce((sum, time) => sum + time, 0) / losingOpenTimes.length;
+          }
+
+          setPositionTimingStats({
+            averageOpenTime,
+            medianOpenTime,
+            losingPositionsAverageOpenTime,
+          });
+        }
+
+        // Calculate cooldown recommendations across all backtests
+        const allCooldownValues: number[] = [];
+        
+        list.forEach(backtest => {
+          if (backtest.positions.length < 2 || !backtest.candles || backtest.candles.length < 2) {
+            return;
+          }
+
+          // Determine candle timeframe in milliseconds
+          const candleTimeframeMs = new Date(backtest.candles[1].date).getTime() - new Date(backtest.candles[0].date).getTime();
+
+          const sortedPositions = [...backtest.positions].sort((a, b) => {
+            const dateA = new Date(a.open.date).getTime();
+            const dateB = new Date(b.open.date).getTime();
+            return dateA - dateB;
+          });
+
+          for (let i = 0; i < sortedPositions.length - 1; i++) {
+            const currentPosition = sortedPositions[i];
+            const nextPosition = sortedPositions[i + 1];
+
+            const currentRealized = currentPosition.profitAndLoss?.realized ?? 0;
+            const nextRealized = nextPosition.profitAndLoss?.realized ?? 0;
+
+            // Check if current position is winning and next position is losing
+            if (currentRealized > 0 && nextRealized <= 0) {
+              // Calculate the close time of the current (winning) position
+              let currentCloseDate: Date | null = null;
+              if (currentPosition.profitAndLoss?.realized != null) {
+                if (currentPosition.profitAndLoss.realized > 0) {
+                  currentCloseDate = new Date(currentPosition.takeProfit1.date);
+                } else {
+                  currentCloseDate = new Date(currentPosition.stopLoss.date);
+                }
+              }
+
+              if (currentCloseDate) {
+                const nextOpenDate = new Date(nextPosition.open.date);
+                const gapInMs = nextOpenDate.getTime() - currentCloseDate.getTime();
+                
+                if (gapInMs >= 0) { // Only consider positive gaps
+                  // Convert milliseconds to number of candles
+                  const gapInCandles = Math.floor(gapInMs / candleTimeframeMs);
+                  allCooldownValues.push(gapInCandles);
+                }
+              }
+            }
+          }
+        });
+
+        if (allCooldownValues.length > 0) {
+          // Calculate average cooldown
+          const averageCooldown = allCooldownValues.reduce((sum, value) => sum + value, 0) / allCooldownValues.length;
+
+          // Calculate median cooldown
+          const sortedCooldowns = [...allCooldownValues].sort((a, b) => a - b);
+          const medianCooldown = sortedCooldowns.length % 2 === 0
+            ? (sortedCooldowns[sortedCooldowns.length / 2 - 1] + sortedCooldowns[sortedCooldowns.length / 2]) / 2
+            : sortedCooldowns[Math.floor(sortedCooldowns.length / 2)];
+
+          setCooldownRecommendations({
+            averageCooldown: Math.ceil(averageCooldown),
+            medianCooldown: Math.ceil(medianCooldown),
+          });
+        }
       }
     }
   }, [list])
@@ -329,16 +466,37 @@ const BacktestTable: React.FC<IBacktestCards> = ({ list, isFetching, setBacktest
       ) : (
         <>
           {list && list.length > 0 && (
-            <div className="mb-4">
-              <CardText
-                title="Average Optimized Money Management"
-                content={
-                  "SL: " + optimizedMoneyManagement.stopLoss.toFixed(2) + "% | TP: " + 
-                  optimizedMoneyManagement.takeProfit.toFixed(2) + "% | R/R: " + 
-                  (optimizedMoneyManagement.takeProfit / optimizedMoneyManagement.stopLoss || 0).toFixed(2)
-                }
-              />
-            </div>
+            <>
+              <div className="mb-4">
+                <CardText
+                  title="Average Optimized Money Management"
+                  content={
+                    "SL: " + optimizedMoneyManagement.stopLoss.toFixed(2) + "% | TP: " + 
+                    optimizedMoneyManagement.takeProfit.toFixed(2) + "% | R/R: " + 
+                    (optimizedMoneyManagement.takeProfit / optimizedMoneyManagement.stopLoss || 0).toFixed(2)
+                  }
+                />
+              </div>
+              <div className="mb-4">
+                <CardText
+                  title="Position Timing Statistics"
+                  content={
+                    "Avg: " + positionTimingStats.averageOpenTime.toFixed(1) + "h | " +
+                    "Median: " + positionTimingStats.medianOpenTime.toFixed(1) + "h | " +
+                    "Losing Avg: " + positionTimingStats.losingPositionsAverageOpenTime.toFixed(1) + "h"
+                  }
+                />
+              </div>
+              <div className="mb-4">
+                <CardText
+                  title="Cooldown Recommendations"
+                  content={
+                    "Avg: " + cooldownRecommendations.averageCooldown + " candles | " +
+                    "Median: " + cooldownRecommendations.medianCooldown + " candles"
+                  }
+                />
+              </div>
+            </>
           )}
           <Table
             columns={columns}