[CodeFactor] Apply fixes

SyntheticVendor/SyntheticVendor.cs

@@ -486,8 +486,8 @@ public class SyntheticVendor : Vendor
 
         // Calculate the sine wave values
         double frequency = 2 * Math.PI / 1500; // Complete cycle over 25 hours
-        double value = 50 + 50 * Math.Sin(cyclePosition * frequency); // Oscillate between 0 and 100
+        double value = 50 + (50 * Math.Sin(cyclePosition * frequency)); // Oscillate between 0 and 100
-        double nextValue = 50 + 50 * Math.Sin((cyclePosition + slice.TotalMinutes) * frequency);
+        double nextValue = 50 + (50 * Math.Sin((cyclePosition + slice.TotalMinutes) * frequency));
 
         double factor = 0.6 * Math.Abs(nextValue - value);
 
@@ -537,7 +537,7 @@ public class SyntheticVendor : Vendor
             openValue = 100;
             closeValue = 0.0001;
         }
-        else if (hoursInDay < slice.TotalHours / 2 || hoursInDay > 24 - slice.TotalHours / 2)
+        else if (hoursInDay < slice.TotalHours / 2 || hoursInDay > 24 - (slice.TotalHours / 2))
         {
             // Transition from 0 to 100 at midnight
             openValue = 0.0001;
@@ -566,8 +566,8 @@ public class SyntheticVendor : Vendor
         double hours = (time - DateTime.UnixEpoch).TotalHours;
         double period = 24; // 24-hour period
         double position = hours % period;
-        double value = 200 * (position / period) - 100;
+        double value = (200 * (position / period)) - 100;
-        double nextValue = 200 * ((position + slice.TotalHours) % period / period) - 100;
+        double nextValue = (200 * (((position + slice.TotalHours) % period) / period)) - 100;
 
         return new HistoryItemBar
         {
@@ -588,7 +588,7 @@ public class SyntheticVendor : Vendor
         double period = 24; // 24-hour period
         double position = hours % period;
         double value = 100 - (200 * (position / period));
-        double nextValue = 100 - (200 * ((position + slice.TotalHours) % period / period));
+        double nextValue = 100 - (200 * (((position + slice.TotalHours) % period) / period));
 
         return new HistoryItemBar
         {
@@ -628,8 +628,8 @@ public class SyntheticVendor : Vendor
         double hours = (time - DateTime.UnixEpoch).TotalHours;
         double period = 24;
         double position = hours % period;
-        double value = 200 * (Math.Abs(position / period - 0.5) - 0.25) * 100;
+        double value = 200 * (Math.Abs((position / period) - 0.5) - 0.25) * 100;
-        double nextValue = 200 * (Math.Abs(((position + slice.TotalHours) % period) / period - 0.5) - 0.25) * 100;
+        double nextValue = 200 * (Math.Abs((((position + slice.TotalHours) % period) / period) - 0.5) - 0.25) * 100;
 
         return new HistoryItemBar
         {
@@ -651,7 +651,7 @@ public class SyntheticVendor : Vendor
         double frequency = 2 * Math.PI / period; // Full cycle over 24 hours
 
         // Adjust time to center the main peak at 12 hours
-        double t = minutes % period - period / 2;
+        double t = (minutes % period) - (period / 2);
 
         // Scale factor
         double scaleFactor = 7.0;
@@ -661,7 +661,7 @@ public class SyntheticVendor : Vendor
         double sincValue = x != 0 ? 100 * Math.Sin(x) / x : 100;
 
         // Calculate next value
-        double nextT = ((minutes + slice.TotalMinutes) % period) - period / 2;
+        double nextT = ((minutes + slice.TotalMinutes) % period) - (period / 2);
         double nextX = scaleFactor * frequency * nextT;
         double nextSincValue = nextX != 0 ? 100 * Math.Sin(nextX) / nextX : 100;
 
@@ -701,7 +701,7 @@ public class SyntheticVendor : Vendor
         double value;
         if (position < pulsePeriod)
         {
-            value = amplitude * Math.Exp(-Math.Pow(position - center, 2) / (2 * Math.Pow(width, 2))) + baselineValue;
+            value = (amplitude * Math.Exp(-Math.Pow(position - center, 2) / (2 * Math.Pow(width, 2)))) + baselineValue;
         }
         else
         {
@@ -713,7 +713,7 @@ public class SyntheticVendor : Vendor
         double nextValue;
         if (nextPosition < pulsePeriod)
         {
-            nextValue = amplitude * Math.Exp(-Math.Pow(nextPosition - center, 2) / (2 * Math.Pow(width, 2))) + baselineValue;
+            nextValue = (amplitude * Math.Exp(-Math.Pow(nextPosition - center, 2) / (2 * Math.Pow(width, 2)))) + baselineValue;
         }
         else
         {
@@ -875,9 +875,9 @@ public class SyntheticVendor : Vendor
         double meanReversionStrength = 0.1;
 
         double openNoise = random.NextDouble();
-        double open = previousClose + volatility * openNoise + meanReversionStrength * (meanPrice - previousClose);
+        double open = previousClose + (volatility * openNoise) + (meanReversionStrength * (meanPrice - previousClose));
         double closeNoise = random.NextDouble();
-        double close = open + volatility * closeNoise + meanReversionStrength * (meanPrice - open);
+        double close = open + (volatility * closeNoise) + (meanReversionStrength * (meanPrice - open));
 
         // Determine High and Low
         double high = Math.Max(open, close);
@@ -890,7 +890,7 @@ public class SyntheticVendor : Vendor
         double lowNoise = Math.Abs(random.NextDouble());
         low -= volatility * lowNoise;
 
-        double volume = Math.Abs(random.NextDouble()) * 1000 + 100;
+        double volume = (Math.Abs(random.NextDouble()) * 1000) + 100;
 
         previousClose = close;
 
@@ -923,11 +923,11 @@ public class SyntheticVendor : Vendor
 
         // Generate open price
         double openNoise = GeneratePinkNoiseValue();
-        double open = previousClose + volatility * openNoise + meanReversionStrength * (meanPrice - previousClose);
+        double open = previousClose + (volatility * openNoise) + (meanReversionStrength * (meanPrice - previousClose));
 
         // Generate close price
         double closeNoise = GeneratePinkNoiseValue();
-        double close = open + volatility * closeNoise + meanReversionStrength * (meanPrice - open);
+        double close = open + (volatility * closeNoise) + (meanReversionStrength * (meanPrice - open));
 
         // Determine High and Low
         double high = Math.Max(open, close);
@@ -940,7 +940,7 @@ public class SyntheticVendor : Vendor
         double lowNoise = Math.Abs(GeneratePinkNoiseValue());
         low -= volatility * lowNoise;
 
-        double volume = Math.Abs(GeneratePinkNoiseValue()) * 1000 + 100;
+        double volume = (Math.Abs(GeneratePinkNoiseValue()) * 1000) + 100;
 
         // Update previous close for the next iteration
         previousClose = close;
@@ -967,7 +967,7 @@ public class SyntheticVendor : Vendor
 
         for (int i = 0; i < NumOctaves; i++)
         {
-            double white = random.NextDouble() * 2 - 1;
+            double white = (random.NextDouble() * 2) - 1;
             pinkNoiseState[i] = (pinkNoiseState[i] + white) * 0.5;
             total += pinkNoiseState[i] * Math.Pow(2, -i);
         }
@@ -1015,7 +1015,7 @@ public class SyntheticVendor : Vendor
         double u1 = 1.0 - random.NextDouble(); // Uniform(0,1] random doubles
         double u2 = 1.0 - random.NextDouble();
         double randStdNormal = Math.Sqrt(-2.0 * Math.Log(u1)) * Math.Sin(2.0 * Math.PI * u2);
-        return mean + stdDev * randStdNormal;
+        return mean + (stdDev * randStdNormal);
     }
 
 
@@ -1033,7 +1033,7 @@ public class SyntheticVendor : Vendor
         double epsilon = GenerateGaussian(0, 1);
 
         // Calculate the price movement using GBM equation
-        double drift = (GBMMu - 0.5 * GBMSigma * GBMSigma) * dt;
+        double drift = (GBMMu - (0.5 * GBMSigma * GBMSigma)) * dt;
         double diffusion = GBMSigma * Math.Sqrt(dt) * epsilon;
         double returnValue = Math.Exp(drift + diffusion);
 
@@ -1046,11 +1046,11 @@ public class SyntheticVendor : Vendor
 
         // Generate High and Low values
         double highLowRange = Math.Max(Math.Abs(close - open), GBMLastClose * GBMSigma * Math.Sqrt(dt) * Math.Abs(GenerateGaussian(0, 1)));
-        double high = Math.Max(open, close) + highLowRange * 0.5;
+        double high = Math.Max(open, close) + (highLowRange * 0.5);
-        double low = Math.Min(open, close) - highLowRange * 0.5;
+        double low = Math.Min(open, close) - (highLowRange * 0.5);
 
         // Generate volume (you may want to adjust this based on your needs)
-        double volume = Math.Max(100, 1000 * Math.Abs(close - open) + 500 * GenerateGaussian(0, 1));
+        double volume = Math.Max(100, (1000 * Math.Abs(close - open)) + (500 * GenerateGaussian(0, 1)));
 
         // Update last close for next iteration
         GBMLastClose = close;
@@ -1089,11 +1089,11 @@ public class SyntheticVendor : Vendor
 
         double highLowRange = Math.Max(Math.Abs(close - open),
             FBMLastClose * FBMSigma * Math.Pow(dt, FBMHurst) * Math.Abs(GenerateFractionalGaussianNoise(FBMHurst)) * 2);
-        double high = Math.Max(open, close) + highLowRange * 0.5;
+        double high = Math.Max(open, close) + (highLowRange * 0.5);
-        double low = Math.Min(open, close) - highLowRange * 0.5;
+        double low = Math.Min(open, close) - (highLowRange * 0.5);
 
-        double volume = Math.Max(100, 2000 * Math.Abs(close - open) +
+        double volume = Math.Max(100, (2000 * Math.Abs(close - open)) +
-            1000 * Math.Abs(GenerateFractionalGaussianNoise(FBMHurst)));
+            (1000 * Math.Abs(GenerateFractionalGaussianNoise(FBMHurst))));
 
         FBMLastClose = close;
 

Tests/test_eventing.cs

@@ -135,7 +135,7 @@ public class EventingTests
                 randomValue,
                 randomValue + Math.Abs(GetRandomDouble(rng) * 10),
                 randomValue - Math.Abs(GetRandomDouble(rng) * 10),
-                randomValue + GetRandomDouble(rng) * 5,
+                randomValue + (GetRandomDouble(rng) * 5),
                 Math.Abs(GetRandomDouble(rng) * 1000),
                 true
             );

Tests/test_iTBar.cs

@@ -125,10 +125,10 @@ public class BarIndicatorTests
     /// <returns>A randomly generated TBar.</returns>
     private TBar GenerateRandomBar(bool isNew)
     {
-        double open = GetRandomDouble() * 200 - 100;
+        double open = (GetRandomDouble() * 200) - 100;
-        double close = GetRandomDouble() * 200 - 100;
+        double close = (GetRandomDouble() * 200) - 100;
-        double high = Math.Max(open, close) + GetRandomDouble() * 10;
+        double high = Math.Max(open, close) + (GetRandomDouble() * 10);
-        double low = Math.Min(open, close) - GetRandomDouble() * 10;
+        double low = Math.Min(open, close) - (GetRandomDouble() * 10);
         long volume = GetRandomNumber(0, 10000);
 
         return new TBar(Time: DateTime.Now, Open: open, High: high, Low: low, Close: close, Volume: volume, IsNew: isNew);

Tests/test_updates_averages.cs

@@ -14,7 +14,7 @@ public class AveragesUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     [Fact]

Tests/test_updates_errors.cs

@@ -14,7 +14,7 @@ public class UpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     [Fact]

Tests/test_updates_momentum.cs

@@ -14,7 +14,7 @@ public class MomentumUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     private TBar GetRandomBar(bool IsNew)
@@ -22,7 +22,7 @@ public class MomentumUpdateTests
         double open = GetRandomDouble();
         double high = open + Math.Abs(GetRandomDouble());
         double low = open - Math.Abs(GetRandomDouble());
-        double close = low + (high - low) * GetRandomDouble();
+        double close = low + ((high - low) * GetRandomDouble());
         return new TBar(DateTime.Now, open, high, low, close, 1000, IsNew);
     }
 

Tests/test_updates_oscillators.cs

@@ -14,7 +14,7 @@ public class OscillatorsUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     [Fact]

Tests/test_updates_statistics.cs

@@ -14,7 +14,7 @@ public class StatisticsUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     [Fact]

Tests/test_updates_volatility.cs

@@ -14,7 +14,7 @@ public class VolatilityUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     private TBar GetRandomBar(bool IsNew)
@@ -22,7 +22,7 @@ public class VolatilityUpdateTests
         double open = GetRandomDouble();
         double high = open + Math.Abs(GetRandomDouble());
         double low = open - Math.Abs(GetRandomDouble());
-        double close = low + (high - low) * GetRandomDouble();
+        double close = low + ((high - low) * GetRandomDouble());
         return new TBar(DateTime.Now, open, high, low, close, 1000, IsNew);
     }
 

Tests/test_updates_volume.cs

@@ -13,7 +13,7 @@ public class VolumeUpdateTests
     {
         byte[] bytes = new byte[8];
         rng.GetBytes(bytes);
-        return (double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200 - 100; // Range: -100 to 100
+        return ((double)BitConverter.ToUInt64(bytes, 0) / ulong.MaxValue * 200) - 100; // Range: -100 to 100
     }
 
     private TBar GetRandomBar(bool IsNew)
@@ -21,7 +21,7 @@ public class VolumeUpdateTests
         double open = GetRandomDouble();
         double high = open + Math.Abs(GetRandomDouble());
         double low = open - Math.Abs(GetRandomDouble());
-        double close = low + (high - low) * GetRandomDouble();
+        double close = low + ((high - low) * GetRandomDouble());
         double volume = Math.Abs(GetRandomDouble()) * 1000; // Random positive volume
         return new TBar(DateTime.Now, open, high, low, close, volume, IsNew);
     }

lib/averages/Afirma.cs

@@ -60,12 +60,12 @@ public class Afirma : AbstractBase
         _n = (Taps - 1) / 2;
 
         // Precalculate least squares coefficients
-        _sx2 = (2 * _n + 1) / 3.0;
+        _sx2 = ((2 * _n) + 1) / 3.0;
         _sx3 = _n * (_n + 1) / 2.0;
-        _sx4 = _sx2 * (3 * _n * _n + 3 * _n - 1) / 5.0;
+        _sx4 = _sx2 * ((3 * _n * _n) + (3 * _n) - 1) / 5.0;
-        _sx5 = _sx3 * (2 * _n * _n + 2 * _n - 1) / 3.0;
+        _sx5 = _sx3 * ((2 * _n * _n) + (2 * _n) - 1) / 3.0;
-        _sx6 = _sx2 * (3 * Math.Pow(_n, 3) * (_n + 2) - 3 * _n + 1) / 7.0;
+        _sx6 = _sx2 * ((3 * Math.Pow(_n, 3) * (_n + 2)) - (3 * _n) + 1) / 7.0;
-        _den = _sx6 * _sx4 / _sx5 - _sx5;
+        _den = (_sx6 * _sx4 / _sx5) - _sx5;
 
         Name = "Afirma";
         Init();
@@ -105,15 +105,15 @@ public class Afirma : AbstractBase
             case WindowType.Rectangular:
                 return 1.0;
             case WindowType.Hanning1:
-                return 0.50 - 0.50 * Math.Cos(_twoPi * k / tapsMinusOne);
+                return 0.50 - (0.50 * Math.Cos(_twoPi * k / tapsMinusOne));
             case WindowType.Hanning2:
-                return 0.54 - 0.46 * Math.Cos(_twoPi * k / tapsMinusOne);
+                return 0.54 - (0.46 * Math.Cos(_twoPi * k / tapsMinusOne));
             case WindowType.Blackman:
-                return 0.42 - 0.50 * Math.Cos(_twoPi * k / tapsMinusOne) + 0.08 * Math.Cos(_fourPi * k / tapsMinusOne);
+                return 0.42 - (0.50 * Math.Cos(_twoPi * k / tapsMinusOne)) + (0.08 * Math.Cos(_fourPi * k / tapsMinusOne));
             case WindowType.BlackmanHarris:
-                return 0.35875 - 0.48829 * Math.Cos(_twoPi * k / tapsMinusOne) +
+                return 0.35875 - (0.48829 * Math.Cos(_twoPi * k / tapsMinusOne)) +
-                       0.14128 * Math.Cos(_fourPi * k / tapsMinusOne) -
+                       (0.14128 * Math.Cos(_fourPi * k / tapsMinusOne)) -
-                       0.01168 * Math.Cos(_sixPi * k / tapsMinusOne);
+                       (0.01168 * Math.Cos(_sixPi * k / tapsMinusOne));
             default:
                 return 1.0;
         }
@@ -156,15 +156,15 @@ public class Afirma : AbstractBase
 
         sx2y = 2.0 * sx2y / _n / (_n + 1);
         sx3y = 2.0 * sx3y / _n / (_n + 1);
-        double p = sx2y - a0 * _sx2 - a1 * _sx3;
+        double p = sx2y - (a0 * _sx2) - (a1 * _sx3);
-        double q = sx3y - a0 * _sx3 - a1 * _sx4;
+        double q = sx3y - (a0 * _sx3) - (a1 * _sx4);
-        double a2 = (p * _sx6 / _sx5 - q) / _den;
+        double a2 = ((p * _sx6 / _sx5) - q) / _den;
-        double a3 = (q * _sx4 / _sx5 - p) / _den;
+        double a3 = ((q * _sx4 / _sx5) - p) / _den;
 
         for (int k = 0; k <= _n; k++)
         {
             double k2 = k * k;
-            _armaBuffer[_n - k] = a0 + k * a1 + k2 * a2 + k2 * k * a3;
+            _armaBuffer[_n - k] = a0 + (k * a1) + (k2 * a2) + (k2 * k * a3);
         }
     }
 

lib/averages/Convolution.cs

@@ -123,10 +123,10 @@ public class Convolution : AbstractBase
         int i = 0;
         while (i <= offset - 3)
         {
-            sum += bufferSpan[offset - i] * _normalizedKernel[i] +
+            sum += (bufferSpan[offset - i] * _normalizedKernel[i]) +
-                  bufferSpan[offset - (i + 1)] * _normalizedKernel[i + 1] +
+                  (bufferSpan[offset - (i + 1)] * _normalizedKernel[i + 1]) +
-                  bufferSpan[offset - (i + 2)] * _normalizedKernel[i + 2] +
+                  (bufferSpan[offset - (i + 2)] * _normalizedKernel[i + 2]) +
-                  bufferSpan[offset - (i + 3)] * _normalizedKernel[i + 3];
+                  (bufferSpan[offset - (i + 3)] * _normalizedKernel[i + 3]);
             i += 4;
         }
 

lib/averages/Dema.cs

@@ -75,7 +75,7 @@ public class Dema : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateEma(double input, double lastEma)
     {
-        return _k * (input - lastEma) + lastEma;
+        return (_k * (input - lastEma)) + lastEma;
     }
 
     protected override double Calculation()
@@ -96,7 +96,7 @@ public class Dema : AbstractBase
         _lastEma2 = ema2;
 
         // Calculate final DEMA
-        double result = 2 * compensatedEma1 - (ema2 * invE);
+        double result = (2 * compensatedEma1) - (ema2 * invE);
 
         IsHot = _index >= WarmupPeriod;
         return result;

lib/averages/Dsma.cs

@@ -116,7 +116,7 @@ public class Dsma : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateSuperSmootherFilter()
     {
-        return _c1Half * (_zeros + _zeros1) + _c2 * _filt1 + _c3 * _filt2;
+        return (_c1Half * (_zeros + _zeros1)) + (_c2 * _filt1) + (_c3 * _filt2);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -155,7 +155,7 @@ public class Dsma : AbstractBase
         double alpha = CalculateAdaptiveAlpha(scaledFilt);
 
         // DSMA calculation
-        double dsma = alpha * Input.Value + (1 - alpha) * _lastDsma;
+        double dsma = (alpha * Input.Value) + ((1 - alpha) * _lastDsma);
 
         // Update state variables
         _zeros1 = _zeros;

lib/averages/Dwma.cs

@@ -38,7 +38,7 @@ public class Dwma : AbstractBase
         _innerWma = new Wma(period);
         _outerWma = new Wma(period);
         Name = "Dwma";
-        WarmupPeriod = 2 * period - 1;
+        WarmupPeriod = (2 * period) - 1;
         Init();
     }
 

lib/averages/Ema.cs

@@ -112,7 +112,7 @@ public class Ema : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateEma(double input, double lastEma)
     {
-        return _k * (input - lastEma) + lastEma;
+        return (_k * (input - lastEma)) + lastEma;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]

lib/averages/Epma.cs

@@ -75,8 +75,8 @@ public class Epma : AbstractBase
     {
         // Using arithmetic sequence sum formula: n(a1 + an)/2
         // where a1 = (2p-1) and an = (2p-1) - 3(n-1)
-        double firstTerm = 2 * period - 1;
+        double firstTerm = (2 * period) - 1;
-        double lastTerm = firstTerm - 3 * (period - 1);
+        double lastTerm = firstTerm - (3 * (period - 1));
         return period * (firstTerm + lastTerm) * 0.5;
     }
 
@@ -109,11 +109,11 @@ public class Epma : AbstractBase
         double[] kernel = new double[period];
         double weightSum = CalculateKernelSum(period);
         double invWeightSum = 1.0 / weightSum;
-        double baseWeight = 2 * period - 1;
+        double baseWeight = (2 * period) - 1;
 
         for (int i = 0; i < period; i++)
         {
-            kernel[i] = (baseWeight - 3 * i) * invWeightSum;
+            kernel[i] = (baseWeight - (3 * i)) * invWeightSum;
         }
 
         return kernel;

lib/averages/Frama.cs

@@ -139,7 +139,7 @@ public class Frama : AbstractBase
         double dimension = (System.Math.Log(n2 + _epsilon) - System.Math.Log(n1 + _epsilon)) / _log2;
         double alpha = CalculateAlpha(dimension);
 
-        _lastFrama = alpha * (Input.Value - _lastFrama) + _lastFrama;
+        _lastFrama = (alpha * (Input.Value - _lastFrama)) + _lastFrama;
 
         IsHot = _index >= WarmupPeriod;
         return _lastFrama;

lib/averages/Hma.cs

@@ -117,7 +117,7 @@ public class Hma : AbstractBase
         double wmaFullResult = _wmaFull.Calc(Input).Value;
 
         // Calculate 2*WMA(n/2) - WMA(n)
-        double intermediateResult = 2.0 * wmaHalfResult - wmaFullResult;
+        double intermediateResult = (2.0 * wmaHalfResult) - wmaFullResult;
 
         // Calculate final WMA
         var finalInput = new TValue(Input.Time, intermediateResult, Input.IsNew);

lib/averages/Htit.cs

@@ -82,13 +82,13 @@ public class Htit : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private static double CalculateSmoothedPrice(double p0, double p1, double p2, double p3)
     {
-        return (4.0 * p0 + 3.0 * p1 + 2.0 * p2 + p3) * 0.1;
+        return ((4.0 * p0) + (3.0 * p1) + (2.0 * p2) + p3) * 0.1;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private static double CalculateHilbertTransform(double b0, double b2, double b4, double b6, double adj)
     {
-        return (0.0962 * (b0 - b6) + 0.5769 * (b2 - b4)) * adj;
+        return ((0.0962 * (b0 - b6)) + (0.5769 * (b2 - b4))) * adj;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -122,7 +122,7 @@ public class Htit : AbstractBase
             return pr;
         }
 
-        double adj = 0.075 * _lastPd + 0.54;
+        double adj = (0.075 * _lastPd) + 0.54;
 
         // Smooth and detrender
         double sp = CalculateSmoothedPrice(_priceBuffer[0], _priceBuffer[1], _priceBuffer[2], _priceBuffer[3]);
@@ -143,15 +143,15 @@ public class Htit : AbstractBase
         double jQ = CalculateHilbertTransform(_q1Buffer[0], _q1Buffer[2], _q1Buffer[4], _q1Buffer[6], adj);
 
         // Phasor addition for 3-bar averaging
-        double i2 = ALPHA * (i1 - jQ) + BETA * _i2Buffer[0];
+        double i2 = (ALPHA * (i1 - jQ)) + (BETA * _i2Buffer[0]);
-        double q2 = ALPHA * (q1 + jI) + BETA * _q2Buffer[0];
+        double q2 = (ALPHA * (q1 + jI)) + (BETA * _q2Buffer[0]);
 
         _i2Buffer.Add(i2, Input.IsNew);
         _q2Buffer.Add(q2, Input.IsNew);
 
         // Homodyne discriminator
-        double re = ALPHA * (i2 * _i2Buffer[1] + q2 * _q2Buffer[1]) + BETA * _reBuffer[0];
+        double re = (ALPHA * ((i2 * _i2Buffer[1]) + (q2 * _q2Buffer[1]))) + (BETA * _reBuffer[0]);
-        double im = ALPHA * (i2 * _q2Buffer[1] - q2 * _i2Buffer[1]) + BETA * _imBuffer[0];
+        double im = (ALPHA * ((i2 * _q2Buffer[1]) - (q2 * _i2Buffer[1]))) + (BETA * _imBuffer[0]);
 
         _reBuffer.Add(re, Input.IsNew);
         _imBuffer.Add(im, Input.IsNew);
@@ -159,10 +159,10 @@ public class Htit : AbstractBase
         // Calculate period
         double pd = (im != 0 && re != 0) ? TWO_PI / System.Math.Atan(im / re) : 0;
         pd = ClampPeriod(pd, _lastPd);
-        pd = ALPHA * pd + BETA * _lastPd;
+        pd = (ALPHA * pd) + (BETA * _lastPd);
         _pdBuffer.Add(pd, Input.IsNew);
 
-        double sd = 0.33 * pd + 0.67 * _sdBuffer[0];
+        double sd = (0.33 * pd) + (0.67 * _sdBuffer[0]);
         _sdBuffer.Add(sd, Input.IsNew);
 
         // Smooth dominant cycle period

lib/averages/Hwma.cs

@@ -110,19 +110,19 @@ public class Hwma : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateLevel(double input)
     {
-        return _oneMinusNa * (_pF + _pV + _halfA * _pA) + _nA * input;
+        return (_oneMinusNa * (_pF + _pV + (_halfA * _pA))) + (_nA * input);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateVelocity(double F)
     {
-        return _oneMinusNb * (_pV + _pA) + _nB * (F - _pF);
+        return (_oneMinusNb * (_pV + _pA)) + (_nB * (F - _pF));
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateAcceleration(double V)
     {
-        return _oneMinusNc * _pA + _nC * (V - _pV);
+        return (_oneMinusNc * _pA) + (_nC * (V - _pV));
     }
 
     protected override double Calculation()
@@ -152,6 +152,6 @@ public class Hwma : AbstractBase
         _pA = A;
 
         IsHot = _index >= WarmupPeriod;
-        return F + V + _halfA * A;
+        return F + V + (_halfA * A);
     }
 }

lib/averages/Jma.cs

@@ -61,7 +61,7 @@ public class Jma : AbstractBase
 
         _vsumBuff = new CircularBuffer(buffer);
         _avoltyBuff = new CircularBuffer(65);
-        _beta = factor * (period - 1) / (factor * (period - 1) + 2);
+        _beta = factor * (period - 1) / ((factor * (period - 1)) + 2);
 
         _len1 = System.Math.Max((System.Math.Log(System.Math.Sqrt(period - 1)) / System.Math.Log(2.0)) + 2.0, 0);
         _pow1 = System.Math.Max(_len1 - 2.0, 0.5);
@@ -160,12 +160,12 @@ public class Jma : AbstractBase
         _lowerBand = (del2 <= 0) ? price : price - (Kv * del2);
 
         double alpha = System.Math.Pow(_beta, pow2);
-        double ma1 = price + alpha * (_prevMa1 - price);
+        double ma1 = price + (alpha * (_prevMa1 - price));
         _prevMa1 = ma1;
 
-        double det0 = price + _beta * (_prevDet0 - price + ma1) - ma1;
+        double det0 = price + (_beta * (_prevDet0 - price + ma1)) - ma1;
         _prevDet0 = det0;
-        double ma2 = ma1 + _phase * det0;
+        double ma2 = ma1 + (_phase * det0);
 
         double det1 = ((ma2 - _prevJma) * _oneMinusAlphaSquared) + (_alphaSquared * _prevDet1);
         _prevDet1 = det1;

lib/averages/Ltma.cs

@@ -90,13 +90,13 @@ public class Ltma : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateLaguerreStage(double input, double prev, double prevPrev)
     {
-        return -_gamma * input + prev + _gamma * prevPrev;
+        return (-_gamma * input) + prev + (_gamma * prevPrev);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CombineOutputs(double l0, double l1, double l2, double l3)
     {
-        return (l0 + 2.0 * (l1 + l2) + l3) * _invSix;
+        return (l0 + (2.0 * (l1 + l2)) + l3) * _invSix;
     }
 
     protected override double Calculation()
@@ -104,7 +104,7 @@ public class Ltma : AbstractBase
         ManageState(Input.IsNew);
 
         // First stage
-        double l0 = _oneMinusGamma * Input.Value + _gamma * _prevL0;
+        double l0 = (_oneMinusGamma * Input.Value) + (_gamma * _prevL0);
 
         // Subsequent stages using helper method
         double l1 = CalculateLaguerreStage(l0, _prevL0, _prevL1);

lib/averages/Maaf.cs

@@ -93,7 +93,7 @@ public class Maaf : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateSmooth()
     {
-        return (_priceBuffer[^1] + 2.0 * (_priceBuffer[^2] + _priceBuffer[^3]) + _priceBuffer[^4]) * _invSix;
+        return (_priceBuffer[^1] + (2.0 * (_priceBuffer[^2] + _priceBuffer[^3])) + _priceBuffer[^4]) * _invSix;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -141,7 +141,7 @@ public class Maaf : AbstractBase
         {
             double alpha = CalculateAlpha(length);
             double value1 = GetMedian(length);
-            value2 = alpha * (smooth - _prevValue2) + _prevValue2;
+            value2 = (alpha * (smooth - _prevValue2)) + _prevValue2;
 
             if (value1 != 0)
             {
@@ -153,7 +153,7 @@ public class Maaf : AbstractBase
 
         length = System.Math.Max(length, 3);
         double finalAlpha = CalculateAlpha(length);
-        double filter = finalAlpha * (smooth - _prevFilter) + _prevFilter;
+        double filter = (finalAlpha * (smooth - _prevFilter)) + _prevFilter;
 
         _prevFilter = filter;
         _prevValue2 = value2;

lib/averages/Mama.cs

@@ -100,13 +100,13 @@ public class Mama : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateSmooth()
     {
-        return (4.0 * _pr[^1] + 3.0 * _pr[^2] + 2.0 * _pr[^3] + _pr[^4]) * 0.1;
+        return ((4.0 * _pr[^1]) + (3.0 * _pr[^2]) + (2.0 * _pr[^3]) + _pr[^4]) * 0.1;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private static double CalculateHilbertTransform(CircularBuffer buffer, double adj)
     {
-        return (0.0962 * (buffer[^1] - buffer[^7]) + 0.5769 * (buffer[^3] - buffer[^5])) * adj;
+        return ((0.0962 * (buffer[^1] - buffer[^7])) + (0.5769 * (buffer[^3] - buffer[^5]))) * adj;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -121,7 +121,7 @@ public class Mama : AbstractBase
     {
         period = System.Math.Clamp(period, 0.67 * _pd[^2], 1.5 * _pd[^2]);
         period = System.Math.Clamp(period, 6.0, 50.0);
-        return _alpha02 * period + _alpha08 * _pd[^2];
+        return (_alpha02 * period) + (_alpha08 * _pd[^2]);
     }
 
     protected override double Calculation()
@@ -132,7 +132,7 @@ public class Mama : AbstractBase
 
         if (_index > 6)
         {
-            double adj = 0.075 * _pd[^1] + 0.54;
+            double adj = (0.075 * _pd[^1]) + 0.54;
 
             // Smooth and Detrender
             _sm.Add(CalculateSmooth(), Input.IsNew);
@@ -151,16 +151,16 @@ public class Mama : AbstractBase
             double q2 = _q1[^1] + jI;
             _i2.Add(i2, Input.IsNew);
             _q2.Add(q2, Input.IsNew);
-            _i2[^1] = _alpha02 * _i2[^1] + _alpha08 * _i2[^2];
+            _i2[^1] = (_alpha02 * _i2[^1]) + (_alpha08 * _i2[^2]);
-            _q2[^1] = _alpha02 * _q2[^1] + _alpha08 * _q2[^2];
+            _q2[^1] = (_alpha02 * _q2[^1]) + (_alpha08 * _q2[^2]);
 
             // Homodyne discriminator
-            double re = _i2[^1] * _i2[^2] + _q2[^1] * _q2[^2];
+            double re = (_i2[^1] * _i2[^2]) + (_q2[^1] * _q2[^2]);
-            double im = _i2[^1] * _q2[^2] - _q2[^1] * _i2[^2];
+            double im = (_i2[^1] * _q2[^2]) - (_q2[^1] * _i2[^2]);
             _re.Add(re, Input.IsNew);
             _im.Add(im, Input.IsNew);
-            _re[^1] = _alpha02 * _re[^1] + _alpha08 * _re[^2];
+            _re[^1] = (_alpha02 * _re[^1]) + (_alpha08 * _re[^2]);
-            _im[^1] = _alpha02 * _im[^1] + _alpha08 * _im[^2];
+            _im[^1] = (_alpha02 * _im[^1]) + (_alpha08 * _im[^2]);
 
             // Calculate and adjust period
             double period = CalculatePeriod(_im[^1], _re[^1]);
@@ -176,8 +176,8 @@ public class Mama : AbstractBase
             double alpha = System.Math.Clamp(_fastLimit / delta, _slowLimit, _fastLimit);
 
             // Final indicators
-            _mama = alpha * (_pr[^1] - _prevMama) + _prevMama;
+            _mama = (alpha * (_pr[^1] - _prevMama)) + _prevMama;
-            _fama = _famaAlpha * alpha * (_mama - _prevFama) + _prevFama;
+            _fama = (_famaAlpha * alpha * (_mama - _prevFama)) + _prevFama;
 
             _prevMama = _mama;
             _prevFama = _fama;

lib/averages/Mma.cs

@@ -51,7 +51,7 @@ public class Mma : AbstractBase
         _weights = new double[period];
         for (int i = 0; i < period; i++)
         {
-            _weights[i] = (period - (2 * i + 1)) * 0.5;
+            _weights[i] = (period - ((2 * i) + 1)) * 0.5;
         }
 
         Name = "Mma";

lib/averages/Qema.cs

@@ -107,7 +107,7 @@ public class Qema : AbstractBase
         double ema4 = CalculateEma(_ema4, ema3);
 
         // Combine EMAs using optimized formula
-        _lastQema = 4.0 * (ema1 + ema3) - (6.0 * ema2 + ema4);
+        _lastQema = (4.0 * (ema1 + ema3)) - ((6.0 * ema2) + ema4);
 
         IsHot = _index >= WarmupPeriod;
         return _lastQema;

lib/averages/Rema.cs

@@ -105,9 +105,9 @@ public class Rema : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateRema(double alpha, double input)
     {
-        double standardTerm = _lastRema + alpha * (input - _lastRema);
+        double standardTerm = _lastRema + (alpha * (input - _lastRema));
         double regularizationTerm = _lastRema + (_lastRema - _prevRema);
-        return (standardTerm + _lambda * regularizationTerm) * _lambdaPlus1Recip;
+        return (standardTerm + (_lambda * regularizationTerm)) * _lambdaPlus1Recip;
     }
 
     protected override double Calculation()

lib/averages/Rma.cs

@@ -98,7 +98,7 @@ public class Rma : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateRma(double input)
     {
-        return _k * input + _oneMinusK * _lastRma;
+        return (_k * input) + (_oneMinusK * _lastRma);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]

lib/averages/Smma.cs

@@ -84,7 +84,7 @@ public class Smma : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateSmma(double input)
     {
-        return (_lastSmma * _periodMinusOne + input) * _periodRecip;
+        return ((_lastSmma * _periodMinusOne) + input) * _periodRecip;
     }
 
     protected override double Calculation()

lib/averages/T3.cs

@@ -60,8 +60,8 @@ public class T3 : AbstractBase
         double v3 = v2 * vfactor;
         _c1 = -v3;
         _c2 = 3.0 * (v2 + v3);
-        _c3 = -3.0 * (2.0 * v2 + vfactor + v3);
+        _c3 = -3.0 * ((2.0 * v2) + vfactor + v3);
-        _c4 = 1.0 + 3.0 * vfactor + v3 + 3.0 * v2;
+        _c4 = 1.0 + (3.0 * vfactor) + v3 + (3.0 * v2);
 
         _buffer1 = new(period);
         _buffer2 = new(period);
@@ -124,13 +124,13 @@ public class T3 : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateEma(double input, double lastEma)
     {
-        return _k * (input - lastEma) + lastEma;
+        return (_k * (input - lastEma)) + lastEma;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateT3(double ema3, double ema4, double ema5, double ema6)
     {
-        return _c1 * ema6 + _c2 * ema5 + _c3 * ema4 + _c4 * ema3;
+        return (_c1 * ema6) + (_c2 * ema5) + (_c3 * ema4) + (_c4 * ema3);
     }
 
     protected override double Calculation()

lib/averages/Tema.cs

@@ -93,7 +93,7 @@ public class Tema : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     private double CalculateEma(double input, double lastEma, double invE)
     {
-        return _k * (input * invE - lastEma) + lastEma;
+        return (_k * ((input * invE) - lastEma)) + lastEma;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
@@ -120,7 +120,7 @@ public class Tema : AbstractBase
         _lastEma3 = ema3;
 
         // Calculate final TEMA with compensation
-        double result = (3.0 * ema1 - 3.0 * ema2 + ema3) * invE;
+        double result = ((3.0 * ema1) - (3.0 * ema2) + ema3) * invE;
 
         IsHot = _index >= WarmupPeriod;
         return result;

lib/averages/Zlema.cs

@@ -86,7 +86,7 @@ public class Zlema : AbstractBase
     private double CalculateErrorCorrection()
     {
         double lagValue = _buffer[System.Math.Max(0, _buffer.Count - 1 - _lag)];
-        return 2.0 * Input.Value - lagValue;
+        return (2.0 * Input.Value) - lagValue;
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]

lib/feeds/GbmFeed.cs

@@ -32,7 +32,7 @@ public class GbmFeed : TBarSeries
     public TBar Generate(DateTime time, bool isNew = true)
     {
         double dt = 1.0 / 252;
-        double drift = (_mu - 0.5 * _sigma * _sigma) * dt;
+        double drift = (_mu - (0.5 * _sigma * _sigma)) * dt;
         double diffusion = _sigma * Math.Sqrt(dt) * GenerateNormalRandom();
 
         double open = _lastClose;
@@ -40,8 +40,8 @@ public class GbmFeed : TBarSeries
 
         // Generate intra-bar price movements
         double maxMove = Math.Abs(close - open) * 1.5; // Allow for some extra movement within the bar
-        double high = Math.Max(open, close) + maxMove * GenerateRandomDouble();
+        double high = Math.Max(open, close) + (maxMove * GenerateRandomDouble());
-        double low = Math.Min(open, close) - maxMove * GenerateRandomDouble();
+        double low = Math.Min(open, close) - (maxMove * GenerateRandomDouble());
 
         // Ensure high is always greater than or equal to both open and close
         high = Math.Max(high, Math.Max(open, close));
@@ -49,7 +49,7 @@ public class GbmFeed : TBarSeries
         // Ensure low is always less than or equal to both open and close
         low = Math.Min(low, Math.Min(open, close));
 
-        double volume = 1000 + GenerateRandomDouble() * 1000;
+        double volume = 1000 + (GenerateRandomDouble() * 1000);
 
         if (isNew)
         {

lib/momentum/Dpo.cs

@@ -46,7 +46,7 @@ public sealed class Dpo : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining)]
     public Dpo(int period = 20)
     {
-        _shift = period / 2 + 1;
+        _shift = (period / 2) + 1;
         WarmupPeriod = period + _shift;
         Name = $"DPO({period})";
         _prices = new CircularBuffer(WarmupPeriod);

lib/oscillators/Cfo.cs

@@ -86,11 +86,11 @@ public sealed class Cfo : AbstractBase
         var n = (double)count;
 
         // Calculate linear regression coefficients
-        var slope = (n * _sumXY - _sumX * _sumY) / (n * _sumX2 - _sumX * _sumX);
+        var slope = ((n * _sumXY) - (_sumX * _sumY)) / ((n * _sumX2) - (_sumX * _sumX));
-        var intercept = (_sumY - slope * _sumX) / n;
+        var intercept = (_sumY - (slope * _sumX)) / n;
 
         // Calculate forecast for next period
-        return intercept + slope * count;
+        return intercept + (slope * count);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining)]

lib/oscillators/Cog.cs

@@ -96,6 +96,6 @@ public sealed class Cog : AbstractBase
             return 0.0;
 
         // Calculate center of gravity and normalize
-        return -((numerator / denominator) - (_period + 1.0) / 2.0);
+        return -((numerator / denominator) - ((_period + 1.0) / 2.0));
     }
 }

lib/statistics/Curvature.cs

@@ -74,7 +74,7 @@ public sealed class Curvature : AbstractBase
                 "Period must be greater than 2 for Curvature calculation.");
         }
         _period = period;
-        WarmupPeriod = period * 2 - 1; // Number of points needed for period number of slopes
+        WarmupPeriod = (period * 2) - 1; // Number of points needed for period number of slopes
         _slopeCalculator = new Slope(period);
         _slopeBuffer = new CircularBuffer(period);
         Name = $"Curvature(period={period})";

lib/statistics/Kurtosis.cs

@@ -129,7 +129,7 @@ public sealed class Kurtosis : AbstractBase
         if (variance2 < Epsilon)
             return 0;
 
-        return (n * (n + 1) * s4) / (variance2 * (n - 3) * (n - 1) * (n - 2))
+        return ((n * (n + 1) * s4) / (variance2 * (n - 3) * (n - 1) * (n - 2)))
                - (3 * (n - 1) * (n - 1) / ((n - 2) * (n - 3)));
     }
 

lib/statistics/Percentile.cs

@@ -148,7 +148,7 @@ public sealed class Percentile : AbstractBase
         double lowerValue = sortedValues[lowerIndex];
         double upperValue = sortedValues[upperIndex];
         double fraction = position - lowerIndex;
-        return lowerValue + (upperValue - lowerValue) * fraction;
+        return lowerValue + ((upperValue - lowerValue) * fraction);
     }
 
     [MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]

lib/volatility/Ap.cs

@@ -115,6 +115,6 @@ public sealed class Ap : AbstractBase
 
         // Project median line to current bar
         double currentX = _index - p0.x;
-        return p0.y + slope * currentX;
+        return p0.y + (slope * currentX);
     }
 }

lib/volatility/Jvolty.cs

@@ -83,7 +83,7 @@ public sealed class Jvolty : AbstractBase
 
         _vsumBuff = new CircularBuffer(VsumBufferSize);
         _avoltyBuff = new CircularBuffer(AvoltyBufferSize);
-        _beta = 0.45 * (period - 1) / (0.45 * (period - 1) + 2);
+        _beta = 0.45 * (period - 1) / ((0.45 * (period - 1)) + 2);
 
         WarmupPeriod = period * 2;
         Name = $"JVOLTY({period})";
@@ -155,9 +155,9 @@ public sealed class Jvolty : AbstractBase
     [MethodImpl(MethodImplOptions.AggressiveInlining | MethodImplOptions.AggressiveOptimization)]
     private double CalculateJma(double price, double alpha, double ma1)
     {
-        double det0 = (price - ma1) * (1 - _beta) + _beta * _prevDet0;
+        double det0 = ((price - ma1) * (1 - _beta)) + (_beta * _prevDet0);
         _prevDet0 = det0;
-        double ma2 = ma1 + _phase * det0;
+        double ma2 = ma1 + (_phase * det0);
 
         double det1 = ((ma2 - _prevJma) * (1 - alpha) * (1 - alpha)) + (alpha * alpha * _prevDet1);
         _prevDet1 = det1;
@@ -200,7 +200,7 @@ public sealed class Jvolty : AbstractBase
 
         // Apply JMA smoothing
         double alpha = Math.Pow(_beta, pow2);
-        double ma1 = (1 - alpha) * price + alpha * _prevMa1;
+        double ma1 = ((1 - alpha) * price) + (alpha * _prevMa1);
         _prevMa1 = ma1;
 
         double jma = CalculateJma(price, alpha, ma1);

quantower/Statistics/CurvatureIndicator.cs

@@ -26,7 +26,7 @@ public class CurvatureIndicator : Indicator, IWatchlistIndicator
     protected LineSeries? CurvatureSeries;
     protected LineSeries? LineSeries;
     protected string? SourceName;
-    public int MinHistoryDepths => Periods * 2 - 1;
+    public int MinHistoryDepths => (Periods * 2) - 1;
     int IWatchlistIndicator.MinHistoryDepths => MinHistoryDepths;
 
     public CurvatureIndicator()