refactoring

This commit is contained in:
Miha Kralj
2025-12-16 21:16:50 -08:00
parent a67ad65fa5
commit d277e08056
137 changed files with 5074 additions and 3178 deletions
+69
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@@ -0,0 +1,69 @@
using System;
namespace QuanTAlib;
/// <summary>
/// Abstract base class for all indicators.
/// Enforces a consistent contract for State, Name, WarmupPeriod, and core methods.
/// </summary>
public abstract class AbstractBase : ITValuePublisher
{
/// <summary>
/// Display name for the indicator.
/// </summary>
public string Name { get; protected set; } = string.Empty;
/// <summary>
/// Number of periods before the indicator is considered "hot" (valid).
/// </summary>
public int WarmupPeriod { get; protected set; }
/// <summary>
/// Current value of the indicator.
/// </summary>
public TValue Last { get; protected set; }
/// <summary>
/// True if the indicator has enough data to produce valid results.
/// </summary>
public abstract bool IsHot { get; }
/// <summary>
/// Event triggered when a new TValue is available.
/// </summary>
public event Action<TValue>? Pub;
/// <summary>
/// Helper to invoke the Pub event.
/// </summary>
protected void PubEvent(TValue value)
{
Pub?.Invoke(value);
}
/// <summary>
/// Initializes the indicator state using the provided history.
/// </summary>
/// <param name="source">Historical data</param>
public abstract void Prime(ReadOnlySpan<double> source);
/// <summary>
/// Updates the indicator with a single value.
/// </summary>
/// <param name="input">Input value</param>
/// <param name="isNew">True if this is a new bar, False if it's an update to the last bar</param>
/// <returns>Updated value</returns>
public abstract TValue Update(TValue input, bool isNew = true);
/// <summary>
/// Updates the indicator with a series of values.
/// </summary>
/// <param name="source">Input series</param>
/// <returns>Series of calculated values</returns>
public abstract TSeries Update(TSeries source);
/// <summary>
/// Resets the indicator to its initial state.
/// </summary>
public abstract void Reset();
}
+26
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@@ -525,6 +525,32 @@ public class SimdExtensionsTests
Assert.Throws<ArgumentException>(() => SimdExtensions.Subtract(left, right, result));
}
// DotProduct tests
[Fact]
public void DotProduct_SameLength_CorrectResult()
{
double[] a = [1.0, 2.0, 3.0];
double[] b = [4.0, 5.0, 6.0];
// 1*4 + 2*5 + 3*6 = 4 + 10 + 18 = 32
Assert.Equal(32.0, SimdExtensions.DotProduct(a, b));
}
[Fact]
public void DotProduct_DifferentLengths_ThrowsArgumentException()
{
double[] a = [1.0, 2.0];
double[] b = [1.0];
Assert.Throws<ArgumentException>(() => SimdExtensions.DotProduct(a, b));
}
[Fact]
public void DotProduct_EmptySpans_ReturnsZero()
{
double[] a = [];
double[] b = [];
Assert.Equal(0.0, SimdExtensions.DotProduct(a, b));
}
// Integration tests
[Fact]
public void SIMD_WorksWithTSeriesValues()
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+83 -83
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@@ -1,83 +1,83 @@
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// A lightweight struct representing an OHLCV bar.
/// Pure data type: 48 bytes (long + 5 doubles).
/// </summary>
[SkipLocalsInit]
public readonly struct TBar : IEquatable<TBar>
{
public readonly long Time;
public readonly double Open;
public readonly double High;
public readonly double Low;
public readonly double Close;
public readonly double Volume;
public DateTime AsDateTime => new(Time, DateTimeKind.Utc);
// TValue conversions (Zero-copy / lightweight creation)
public TValue O { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Open); }
public TValue H { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, High); }
public TValue L { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Low); }
public TValue C { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Close); }
public TValue V { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Volume); }
// Computed properties (calculated on demand, no storage overhead)
public double HL2 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low) * 0.5; }
public double OC2 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + Close) * 0.5; }
public double OHL3 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + High + Low) * 0.333333333333333333; }
public double HLC3 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low + Close) * 0.333333333333333333; }
public double OHLC4 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + High + Low + Close) * 0.25; }
public double HLCC4 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low + Close + Close) * 0.25; }
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TBar(long time, double open, double high, double low, double close, double volume)
{
Time = time;
Open = open;
High = high;
Low = low;
Close = close;
Volume = volume;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TBar(DateTime time, double open, double high, double low, double close, double volume)
{
Time = time.Ticks;
Open = open;
High = high;
Low = low;
Close = close;
Volume = volume;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator double(TBar bar) => bar.Close;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator TValue(TBar bar) => new(bar.Time, bar.Close);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator DateTime(TBar bar) => new(bar.Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override string ToString() => $"[{AsDateTime:yyyy-MM-dd HH:mm:ss}: O={Open:F2}, H={High:F2}, L={Low:F2}, C={Close:F2}, V={Volume:F2}]";
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool Equals(TBar other) =>
Time == other.Time &&
Open == other.Open &&
High == other.High &&
Low == other.Low &&
Close == other.Close &&
Volume == other.Volume;
public override bool Equals(object? obj) => obj is TBar other && Equals(other);
public override int GetHashCode() => HashCode.Combine(Time, Open, High, Low, Close, Volume);
public static bool operator ==(TBar left, TBar right) => left.Equals(right);
public static bool operator !=(TBar left, TBar right) => !left.Equals(right);
}
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// A lightweight struct representing an OHLCV bar.
/// Pure data type: 48 bytes (long + 5 doubles).
/// </summary>
[SkipLocalsInit]
public readonly struct TBar : IEquatable<TBar>
{
public readonly long Time;
public readonly double Open;
public readonly double High;
public readonly double Low;
public readonly double Close;
public readonly double Volume;
public DateTime AsDateTime => new(Time, DateTimeKind.Utc);
// TValue conversions (Zero-copy / lightweight creation)
public TValue O { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Open); }
public TValue H { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, High); }
public TValue L { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Low); }
public TValue C { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Close); }
public TValue V { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => new(Time, Volume); }
// Computed properties (calculated on demand, no storage overhead)
public double HL2 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low) * 0.5; }
public double OC2 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + Close) * 0.5; }
public double OHL3 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + High + Low) * 0.333333333333333333; }
public double HLC3 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low + Close) * 0.333333333333333333; }
public double OHLC4 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (Open + High + Low + Close) * 0.25; }
public double HLCC4 { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => (High + Low + Close + Close) * 0.25; }
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TBar(long time, double open, double high, double low, double close, double volume)
{
Time = time;
Open = open;
High = high;
Low = low;
Close = close;
Volume = volume;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TBar(DateTime time, double open, double high, double low, double close, double volume)
{
Time = time.Ticks;
Open = open;
High = high;
Low = low;
Close = close;
Volume = volume;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator double(TBar bar) => bar.Close;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator TValue(TBar bar) => new(bar.Time, bar.Close);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator DateTime(TBar bar) => new(bar.Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override string ToString() => $"[{AsDateTime:yyyy-MM-dd HH:mm:ss}: O={Open:F2}, H={High:F2}, L={Low:F2}, C={Close:F2}, V={Volume:F2}]";
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool Equals(TBar other) =>
Time == other.Time &&
Open == other.Open &&
High == other.High &&
Low == other.Low &&
Close == other.Close &&
Volume == other.Volume;
public override bool Equals(object? obj) => obj is TBar other && Equals(other);
public override int GetHashCode() => HashCode.Combine(Time, Open, High, Low, Close, Volume);
public static bool operator ==(TBar left, TBar right) => left.Equals(right);
public static bool operator !=(TBar left, TBar right) => !left.Equals(right);
}
+147 -147
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@@ -1,147 +1,147 @@
using System.Collections;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// A high-performance OHLCV time series implementation using Structure of Arrays (SoA) layout.
/// Stores Time, Open, High, Low, Close, Volume in separate contiguous arrays for SIMD efficiency.
/// Exposes TSeries views for each component that share the underlying Time array.
/// </summary>
public class TBarSeries : IReadOnlyList<TBar>
{
protected readonly List<long> _t;
protected readonly List<double> _o;
protected readonly List<double> _h;
protected readonly List<double> _l;
protected readonly List<double> _c;
protected readonly List<double> _v;
public string Name { get; set; } = "Bar";
public event Action<TBar>? Pub;
// Note: These views share underlying storage. Do not modify directly; use TBarSeries.Add() instead.
public TSeries Open { get; }
public TSeries High { get; }
public TSeries Low { get; }
public TSeries Close { get; }
public TSeries Volume { get; }
// Aliases for convenience
public TSeries O => Open;
public TSeries H => High;
public TSeries L => Low;
public TSeries C => Close;
public TSeries V => Volume;
public TBarSeries() : this(0)
{
}
public TBarSeries(int capacity)
{
_t = new List<long>(capacity);
_o = new List<double>(capacity);
_h = new List<double>(capacity);
_l = new List<double>(capacity);
_c = new List<double>(capacity);
_v = new List<double>(capacity);
Open = new TSeries(_t, _o) { Name = "Open" };
High = new TSeries(_t, _h) { Name = "High" };
Low = new TSeries(_t, _l) { Name = "Low" };
Close = new TSeries(_t, _c) { Name = "Close" };
Volume = new TSeries(_t, _v) { Name = "Volume" };
}
public int Count
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _c.Count;
}
public TBar this[int index]
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => new(_t[index], _o[index], _h[index], _l[index], _c[index], _v[index]);
}
public TBar Last
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _c.Count > 0 ? new(_t[^1], _o[^1], _h[^1], _l[^1], _c[^1], _v[^1]) : default;
}
public long LastTime { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _t.Count > 0 ? _t[^1] : 0; }
public double LastOpen { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _o.Count > 0 ? _o[^1] : double.NaN; }
public double LastHigh { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _h.Count > 0 ? _h[^1] : double.NaN; }
public double LastLow { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _l.Count > 0 ? _l[^1] : double.NaN; }
public double LastClose { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _c.Count > 0 ? _c[^1] : double.NaN; }
public double LastVolume { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _v.Count > 0 ? _v[^1] : double.NaN; }
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(TBar bar, bool isNew = true)
{
if (isNew || _c.Count == 0)
{
_t.Add(bar.Time);
_o.Add(bar.Open);
_h.Add(bar.High);
_l.Add(bar.Low);
_c.Add(bar.Close);
_v.Add(bar.Volume);
}
else
{
int lastIdx = _c.Count - 1;
_t[lastIdx] = bar.Time;
_o[lastIdx] = bar.Open;
_h[lastIdx] = bar.High;
_l[lastIdx] = bar.Low;
_c[lastIdx] = bar.Close;
_v[lastIdx] = bar.Volume;
}
Pub?.Invoke(bar);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(long time, double open, double high, double low, double close, double volume, bool isNew = true) =>
Add(new TBar(time, open, high, low, close, volume), isNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(DateTime time, double open, double high, double low, double close, double volume, bool isNew = true) =>
Add(new TBar(time.Ticks, open, high, low, close, volume), isNew);
public void Add(IEnumerable<long> t, IEnumerable<double> o, IEnumerable<double> h, IEnumerable<double> l, IEnumerable<double> c, IEnumerable<double> v)
{
var tArr = t as long[] ?? t.ToArray();
var oArr = o as double[] ?? o.ToArray();
var hArr = h as double[] ?? h.ToArray();
var lArr = l as double[] ?? l.ToArray();
var cArr = c as double[] ?? c.ToArray();
var vArr = v as double[] ?? v.ToArray();
if (tArr.Length != oArr.Length || oArr.Length != hArr.Length ||
hArr.Length != lArr.Length || lArr.Length != cArr.Length ||
cArr.Length != vArr.Length)
{
throw new ArgumentException("All arrays must have the same length");
}
for (int i = 0; i < tArr.Length; i++)
{
Add(tArr[i], oArr[i], hArr[i], lArr[i], cArr[i], vArr[i]);
}
}
public IEnumerator<TBar> GetEnumerator()
{
for (int i = 0; i < _c.Count; i++)
{
yield return new TBar(_t[i], _o[i], _h[i], _l[i], _c[i], _v[i]);
}
}
IEnumerator IEnumerable.GetEnumerator() => GetEnumerator();
}
using System.Collections;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// A high-performance OHLCV time series implementation using Structure of Arrays (SoA) layout.
/// Stores Time, Open, High, Low, Close, Volume in separate contiguous arrays for SIMD efficiency.
/// Exposes TSeries views for each component that share the underlying Time array.
/// </summary>
public class TBarSeries : IReadOnlyList<TBar>
{
protected readonly List<long> _t;
protected readonly List<double> _o;
protected readonly List<double> _h;
protected readonly List<double> _l;
protected readonly List<double> _c;
protected readonly List<double> _v;
public string Name { get; set; } = "Bar";
public event Action<TBar>? Pub;
// Note: These views share underlying storage. Do not modify directly; use TBarSeries.Add() instead.
public TSeries Open { get; }
public TSeries High { get; }
public TSeries Low { get; }
public TSeries Close { get; }
public TSeries Volume { get; }
// Aliases for convenience
public TSeries O => Open;
public TSeries H => High;
public TSeries L => Low;
public TSeries C => Close;
public TSeries V => Volume;
public TBarSeries() : this(0)
{
}
public TBarSeries(int capacity)
{
_t = new List<long>(capacity);
_o = new List<double>(capacity);
_h = new List<double>(capacity);
_l = new List<double>(capacity);
_c = new List<double>(capacity);
_v = new List<double>(capacity);
Open = new TSeries(_t, _o) { Name = "Open" };
High = new TSeries(_t, _h) { Name = "High" };
Low = new TSeries(_t, _l) { Name = "Low" };
Close = new TSeries(_t, _c) { Name = "Close" };
Volume = new TSeries(_t, _v) { Name = "Volume" };
}
public int Count
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _c.Count;
}
public TBar this[int index]
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => new(_t[index], _o[index], _h[index], _l[index], _c[index], _v[index]);
}
public TBar Last
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _c.Count > 0 ? new(_t[^1], _o[^1], _h[^1], _l[^1], _c[^1], _v[^1]) : default;
}
public long LastTime { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _t.Count > 0 ? _t[^1] : 0; }
public double LastOpen { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _o.Count > 0 ? _o[^1] : double.NaN; }
public double LastHigh { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _h.Count > 0 ? _h[^1] : double.NaN; }
public double LastLow { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _l.Count > 0 ? _l[^1] : double.NaN; }
public double LastClose { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _c.Count > 0 ? _c[^1] : double.NaN; }
public double LastVolume { [MethodImpl(MethodImplOptions.AggressiveInlining)] get => _v.Count > 0 ? _v[^1] : double.NaN; }
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(TBar bar, bool isNew = true)
{
if (isNew || _c.Count == 0)
{
_t.Add(bar.Time);
_o.Add(bar.Open);
_h.Add(bar.High);
_l.Add(bar.Low);
_c.Add(bar.Close);
_v.Add(bar.Volume);
}
else
{
int lastIdx = _c.Count - 1;
_t[lastIdx] = bar.Time;
_o[lastIdx] = bar.Open;
_h[lastIdx] = bar.High;
_l[lastIdx] = bar.Low;
_c[lastIdx] = bar.Close;
_v[lastIdx] = bar.Volume;
}
Pub?.Invoke(bar);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(long time, double open, double high, double low, double close, double volume, bool isNew = true) =>
Add(new TBar(time, open, high, low, close, volume), isNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(DateTime time, double open, double high, double low, double close, double volume, bool isNew = true) =>
Add(new TBar(time.Ticks, open, high, low, close, volume), isNew);
public void Add(IEnumerable<long> t, IEnumerable<double> o, IEnumerable<double> h, IEnumerable<double> l, IEnumerable<double> c, IEnumerable<double> v)
{
var tArr = t as long[] ?? t.ToArray();
var oArr = o as double[] ?? o.ToArray();
var hArr = h as double[] ?? h.ToArray();
var lArr = l as double[] ?? l.ToArray();
var cArr = c as double[] ?? c.ToArray();
var vArr = v as double[] ?? v.ToArray();
if (tArr.Length != oArr.Length || oArr.Length != hArr.Length ||
hArr.Length != lArr.Length || lArr.Length != cArr.Length ||
cArr.Length != vArr.Length)
{
throw new ArgumentException("All arrays must have the same length");
}
for (int i = 0; i < tArr.Length; i++)
{
Add(tArr[i], oArr[i], hArr[i], lArr[i], cArr[i], vArr[i]);
}
}
public IEnumerator<TBar> GetEnumerator()
{
for (int i = 0; i < _c.Count; i++)
{
yield return new TBar(_t[i], _o[i], _h[i], _l[i], _c[i], _v[i]);
}
}
IEnumerator IEnumerable.GetEnumerator() => GetEnumerator();
}
+134 -134
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@@ -1,134 +1,134 @@
using System;
using System.Collections;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// A high-performance time series implementation using Structure of Arrays (SoA) layout.
/// Stores Time (long) and Value (double) in separate contiguous arrays for SIMD efficiency.
/// Supports "New Bar" vs "Update Last" streaming semantics.
/// </summary>
public class TSeries : IReadOnlyList<TValue>, ITValuePublisher
{
protected readonly List<long> _t;
protected readonly List<double> _v;
public string Name { get; set; } = "Data";
public event Action<TValue>? Pub;
public TSeries() : this(0)
{
}
public TSeries(int capacity)
{
_t = new List<long>(capacity);
_v = new List<double>(capacity);
}
public TSeries(List<long> time, List<double> values)
{
_t = time;
_v = values;
}
public int Count
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count;
}
public TValue this[int index]
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => new(_t[index], _v[index]);
}
public TValue Last
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count > 0 ? new(_t[^1], _v[^1]) : default;
}
public double LastValue
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count > 0 ? _v[^1] : double.NaN;
}
public long LastTime
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _t.Count > 0 ? _t[^1] : 0;
}
/// <summary>
/// Direct access to the underlying Value array as a Span for SIMD operations.
/// </summary>
public ReadOnlySpan<double> Values
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => CollectionsMarshal.AsSpan(_v);
}
/// <summary>
/// Direct access to the underlying Time array as a Span.
/// </summary>
public ReadOnlySpan<long> Times
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => CollectionsMarshal.AsSpan(_t);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public virtual void Add(TValue value, bool isNew)
{
if (isNew || _v.Count == 0)
{
_t.Add(value.Time);
_v.Add(value.Value);
}
else
{
int lastIdx = _v.Count - 1;
_t[lastIdx] = value.Time;
_v[lastIdx] = value.Value;
}
Pub?.Invoke(value);
}
// Overload for backward compatibility (assumes isNew=true)
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public virtual void Add(TValue value) => Add(value, true);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(long time, double value, bool isNew = true) => Add(new TValue(time, value), isNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(DateTime time, double value, bool isNew = true) => Add(new TValue(time, value), isNew);
public void Add(IEnumerable<double> values)
{
long t = DateTime.UtcNow.Ticks;
foreach (var v in values)
{
Add(new TValue(t, v), isNew: true);
t += TimeSpan.TicksPerMinute;
}
}
// IEnumerable implementation
public IEnumerator<TValue> GetEnumerator()
{
for (int i = 0; i < _v.Count; i++)
{
yield return new TValue(_t[i], _v[i]);
}
}
IEnumerator IEnumerable.GetEnumerator() => GetEnumerator();
}
using System;
using System.Collections;
using System.Collections.Generic;
using System.Runtime.CompilerServices;
using System.Runtime.InteropServices;
namespace QuanTAlib;
/// <summary>
/// A high-performance time series implementation using Structure of Arrays (SoA) layout.
/// Stores Time (long) and Value (double) in separate contiguous arrays for SIMD efficiency.
/// Supports "New Bar" vs "Update Last" streaming semantics.
/// </summary>
public class TSeries : IReadOnlyList<TValue>, ITValuePublisher
{
protected readonly List<long> _t;
protected readonly List<double> _v;
public string Name { get; set; } = "Data";
public event Action<TValue>? Pub;
public TSeries() : this(0)
{
}
public TSeries(int capacity)
{
_t = new List<long>(capacity);
_v = new List<double>(capacity);
}
public TSeries(List<long> time, List<double> values)
{
_t = time;
_v = values;
}
public int Count
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count;
}
public TValue this[int index]
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => new(_t[index], _v[index]);
}
public TValue Last
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count > 0 ? new(_t[^1], _v[^1]) : default;
}
public double LastValue
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _v.Count > 0 ? _v[^1] : double.NaN;
}
public long LastTime
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => _t.Count > 0 ? _t[^1] : 0;
}
/// <summary>
/// Direct access to the underlying Value array as a Span for SIMD operations.
/// </summary>
public ReadOnlySpan<double> Values
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => CollectionsMarshal.AsSpan(_v);
}
/// <summary>
/// Direct access to the underlying Time array as a Span.
/// </summary>
public ReadOnlySpan<long> Times
{
[MethodImpl(MethodImplOptions.AggressiveInlining)]
get => CollectionsMarshal.AsSpan(_t);
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public virtual void Add(TValue value, bool isNew)
{
if (isNew || _v.Count == 0)
{
_t.Add(value.Time);
_v.Add(value.Value);
}
else
{
int lastIdx = _v.Count - 1;
_t[lastIdx] = value.Time;
_v[lastIdx] = value.Value;
}
Pub?.Invoke(value);
}
// Overload for backward compatibility (assumes isNew=true)
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public virtual void Add(TValue value) => Add(value, true);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(long time, double value, bool isNew = true) => Add(new TValue(time, value), isNew);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public void Add(DateTime time, double value, bool isNew = true) => Add(new TValue(time, value), isNew);
public void Add(IEnumerable<double> values)
{
long t = DateTime.UtcNow.Ticks;
foreach (var v in values)
{
Add(new TValue(t, v), isNew: true);
t += TimeSpan.TicksPerMinute;
}
}
// IEnumerable implementation
public IEnumerator<TValue> GetEnumerator()
{
for (int i = 0; i < _v.Count; i++)
{
yield return new TValue(_t[i], _v[i]);
}
}
IEnumerator IEnumerable.GetEnumerator() => GetEnumerator();
}
+47 -47
View File
@@ -1,47 +1,47 @@
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// A lightweight struct representing a time-value pair.
/// Pure data type: 16 bytes (long + double).
/// </summary>
[SkipLocalsInit]
public readonly struct TValue : IEquatable<TValue>
{
public readonly long Time;
public readonly double Value;
public DateTime AsDateTime => new(Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue(long time, double value)
{
Time = time;
Value = value;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue(DateTime time, double value)
{
Time = time.Kind == DateTimeKind.Utc ? time.Ticks : time.ToUniversalTime().Ticks;
Value = value;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator double(TValue tv) => tv.Value;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator DateTime(TValue tv) => new(tv.Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override string ToString() => $"[{AsDateTime:yyyy-MM-dd HH:mm:ss}, {Value:F2}]";
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool Equals(TValue other) => Time == other.Time && Value == other.Value;
public override bool Equals(object? obj) => obj is TValue other && Equals(other);
public override int GetHashCode() => HashCode.Combine(Time, Value);
public static bool operator ==(TValue left, TValue right) => left.Equals(right);
public static bool operator !=(TValue left, TValue right) => !left.Equals(right);
}
using System.Runtime.CompilerServices;
namespace QuanTAlib;
/// <summary>
/// A lightweight struct representing a time-value pair.
/// Pure data type: 16 bytes (long + double).
/// </summary>
[SkipLocalsInit]
public readonly struct TValue : IEquatable<TValue>
{
public readonly long Time;
public readonly double Value;
public DateTime AsDateTime => new(Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue(long time, double value)
{
Time = time;
Value = value;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public TValue(DateTime time, double value)
{
Time = time.Kind == DateTimeKind.Utc ? time.Ticks : time.ToUniversalTime().Ticks;
Value = value;
}
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator double(TValue tv) => tv.Value;
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public static implicit operator DateTime(TValue tv) => new(tv.Time, DateTimeKind.Utc);
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public override string ToString() => $"[{AsDateTime:yyyy-MM-dd HH:mm:ss}, {Value:F2}]";
[MethodImpl(MethodImplOptions.AggressiveInlining)]
public bool Equals(TValue other) => Time == other.Time && Value == other.Value;
public override bool Equals(object? obj) => obj is TValue other && Equals(other);
public override int GetHashCode() => HashCode.Combine(Time, Value);
public static bool operator ==(TValue left, TValue right) => left.Equals(right);
public static bool operator !=(TValue left, TValue right) => !left.Equals(right);
}