Files

186 lines
7.1 KiB
C#

using System;
using System.Collections.Generic;
using System.Linq;
using FinlyticCore.Dtos.TechnicalAnalysis;
namespace FinlyticTechnicals.Patterns.ChartPatterns;
/// <summary>
/// Detects Double Bottom (W-reversal) and Double Top (M-reversal) formations.
/// </summary>
public class DoubleTopBottomDetector : IPatternDetector
{
public PatternType HandledType => PatternType.DoubleBottom;
public PatternCategory Category => PatternCategory.Chart;
public PatternResultDto? Evaluate(TechnicalContext context)
{
var candles = context.PrimaryCandles;
if (candles.Count < 25) return null;
// Search for two prominent swing lows within the last 20 candles
int n = candles.Count;
var recent = candles.TakeLast(25).ToList();
decimal min1 = decimal.MaxValue;
int min1Idx = -1;
decimal min2 = decimal.MaxValue;
int min2Idx = -1;
decimal peakBetween = 0m;
for (int i = 2; i < recent.Count - 2; i++)
{
if (recent[i].Low <= recent[i - 1].Low && recent[i].Low <= recent[i - 2].Low &&
recent[i].Low <= recent[i + 1].Low && recent[i].Low <= recent[i + 2].Low)
{
if (min1Idx == -1)
{
min1 = recent[i].Low;
min1Idx = i;
}
else if (min2Idx == -1 && i > min1Idx + 4)
{
min2 = recent[i].Low;
min2Idx = i;
break;
}
}
}
if (min1Idx != -1 && min2Idx != -1)
{
// Calculate peak between the two lows (neckline)
for (int i = min1Idx; i <= min2Idx; i++)
{
if (recent[i].High > peakBetween) peakBetween = recent[i].High;
}
decimal priceDifference = Math.Abs(min1 - min2) / min1;
var current = recent.Last();
// Double Bottom validation: lows within 1.5% of each other, current price breaking above neckline or holding second bottom
if (priceDifference <= 0.015m && current.Close >= min2 && peakBetween > min1 * 1.01m)
{
decimal target = peakBetween + (peakBetween - Math.Min(min1, min2));
return new PatternResultDto(
Id: Guid.NewGuid(),
Type: PatternType.DoubleBottom,
Category: PatternCategory.Chart,
Bias: PatternBias.Bullish,
Name: "Double Bottom (W-Pattern)",
Timeframe: context.Timeframe,
DetectedAt: current.Timestamp,
KeyPriceLevel: peakBetween,
UpperBoundary: target,
LowerBoundary: Math.Min(min1, min2),
InvalidationLevel: Math.Min(min1, min2) * 0.995m,
QualityScore: 82m,
Description: $"Double bottom with bottoms at {min1:F2} & {min2:F2}, neckline at {peakBetween:F2}."
);
}
}
return null;
}
}
/// <summary>
/// Detects Head & Shoulders and Inverse Head & Shoulders reversal formations.
/// </summary>
public class HeadAndShouldersDetector : IPatternDetector
{
public PatternType HandledType => PatternType.HeadAndShoulders;
public PatternCategory Category => PatternCategory.Chart;
public PatternResultDto? Evaluate(TechnicalContext context)
{
var candles = context.PrimaryCandles;
if (candles.Count < 30) return null;
var recent = candles.TakeLast(30).ToList();
// Look for Left Shoulder, Head, Right Shoulder
// Head must be significantly higher than Left and Right shoulders
decimal maxPrice = recent.Max(c => c.High);
int headIdx = recent.FindIndex(c => c.High == maxPrice);
if (headIdx >= 5 && headIdx <= recent.Count - 5)
{
decimal leftShoulder = recent.Take(headIdx).Max(c => c.High);
decimal rightShoulder = recent.Skip(headIdx + 1).Max(c => c.High);
if (maxPrice > leftShoulder * 1.01m && maxPrice > rightShoulder * 1.01m &&
Math.Abs(leftShoulder - rightShoulder) / leftShoulder <= 0.03m)
{
decimal neckline = recent.Skip(headIdx - 3).Take(6).Min(c => c.Low);
var current = recent.Last();
if (current.Close <= rightShoulder)
{
return new PatternResultDto(
Id: Guid.NewGuid(),
Type: PatternType.HeadAndShoulders,
Category: PatternCategory.Chart,
Bias: PatternBias.Bearish,
Name: "Head & Shoulders",
Timeframe: context.Timeframe,
DetectedAt: current.Timestamp,
KeyPriceLevel: neckline,
UpperBoundary: maxPrice,
LowerBoundary: neckline - (maxPrice - neckline),
InvalidationLevel: maxPrice * 1.005m,
QualityScore: 85m,
Description: $"Bearish Head & Shoulders with Head at {maxPrice:F2}, Shoulders ~{leftShoulder:F2}, Neckline {neckline:F2}."
);
}
}
}
return null;
}
}
/// <summary>
/// Detects Ascending and Descending Triangle consolidations.
/// </summary>
public class TrianglePatternDetector : IPatternDetector
{
public PatternType HandledType => PatternType.AscendingTriangle;
public PatternCategory Category => PatternCategory.Chart;
public PatternResultDto? Evaluate(TechnicalContext context)
{
var candles = context.PrimaryCandles;
if (candles.Count < 20) return null;
var recent = candles.TakeLast(20).ToList();
decimal highResistance = recent.Take(15).Max(c => c.High);
// Check if highs are flat (horizontal resistance) while lows are rising (higher lows)
decimal low1 = recent.Take(7).Min(c => c.Low);
decimal low2 = recent.Skip(7).Take(7).Min(c => c.Low);
decimal low3 = recent.Skip(14).Min(c => c.Low);
if (low3 > low2 && low2 > low1 && Math.Abs(recent.Last().High - highResistance) / highResistance <= 0.01m)
{
var curr = recent.Last();
return new PatternResultDto(
Id: Guid.NewGuid(),
Type: PatternType.AscendingTriangle,
Category: PatternCategory.Chart,
Bias: PatternBias.Bullish,
Name: "Ascending Triangle",
Timeframe: context.Timeframe,
DetectedAt: curr.Timestamp,
KeyPriceLevel: highResistance,
UpperBoundary: highResistance + (highResistance - low1),
LowerBoundary: low3,
InvalidationLevel: low3 * 0.995m,
QualityScore: 80m,
Description: $"Ascending triangle with horizontal resistance at {highResistance:F2} and rising lows ({low1:F2} -> {low2:F2} -> {low3:F2})."
);
}
return null;
}
}