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Encelado/TradingBot/Services/TechnicalAnalysis.cs
Alberto Balbo 64f3511695 Nuove: multi-strategy, indicatori avanzati, posizioni
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2026-01-06 17:49:07 +01:00

92 lines
2.8 KiB
C#

namespace TradingBot.Services;
public static class TechnicalAnalysis
{
public static decimal CalculateEMA(List<decimal> prices, int period)
{
if (prices.Count == 0) return 0;
decimal k = 2m / (period + 1);
decimal ema = prices[0];
for (int i = 1; i < prices.Count; i++)
{
ema = prices[i] * k + ema * (1 - k);
}
return ema;
}
public static List<decimal> CalculateEMAArray(List<decimal> prices, int period)
{
if (prices.Count == 0) return new List<decimal>();
decimal k = 2m / (period + 1);
var emaArray = new List<decimal> { prices[0] };
for (int i = 1; i < prices.Count; i++)
{
emaArray.Add(prices[i] * k + emaArray[i - 1] * (1 - k));
}
return emaArray;
}
public static decimal CalculateRSI(List<decimal> prices, int period = 14)
{
if (prices.Count < period + 1) return 50;
decimal gains = 0;
decimal losses = 0;
for (int i = prices.Count - period; i < prices.Count; i++)
{
decimal diff = prices[i] - prices[i - 1];
if (diff >= 0)
gains += diff;
else
losses -= diff;
}
decimal avgGain = gains / period;
decimal avgLoss = losses / period;
if (avgLoss == 0) return 100;
decimal rs = avgGain / avgLoss;
return 100 - (100 / (1 + rs));
}
public static (decimal macd, decimal signal, decimal histogram) CalculateMACD(List<decimal> prices)
{
if (prices.Count < 26) return (0, 0, 0);
var ema12Array = CalculateEMAArray(prices, 12);
var ema26Array = CalculateEMAArray(prices, 26);
var macdLine = ema12Array[^1] - ema26Array[^1];
var signalLine = macdLine * 0.9m; // Simplified signal
var histogram = macdLine - signalLine;
return (macdLine, signalLine, histogram);
}
public static (decimal upper, decimal middle, decimal lower) CalculateBollingerBands(List<decimal> prices, int period = 20, decimal standardDeviations = 2)
{
if (prices.Count < period) return (0, 0, 0);
var recentPrices = prices.TakeLast(period).ToList();
var sma = recentPrices.Average();
// Calculate standard deviation
var squaredDifferences = recentPrices.Select(p => (double)Math.Pow((double)(p - sma), 2));
var variance = squaredDifferences.Average();
var stdDev = (decimal)Math.Sqrt(variance);
var upper = sma + (standardDeviations * stdDev);
var lower = sma - (standardDeviations * stdDev);
return (upper, sma, lower);
}
}