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wickra/bindings/csharp/benchmarks/Program.cs
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// Throughput benchmark for the Wickra C# binding.
//
// Measures how many indicator updates per second the binding sustains, both
// per-tick (streaming Update) and bulk (Batch), over a synthetic OHLCV series.
// It is the C# counterpart of the Node throughput.js and the Rust criterion
// benches: it benchmarks Wickra's own O(1) streaming engine across the
// managed<->C-ABI boundary (there is no comparable streaming TA library on
// NuGet to compare against), so the headline number is raw per-binding
// throughput / FFI overhead, not a cross-library ratio.
//
// Three indicators are timed, chosen by FFI call-signature archetype rather
// than algorithm: SMA (1-in -> 1-out), ATR (multi-in -> 1-out), and MACD
// (1-in -> multi-out). Streaming is timed for all three; batch only for the
// single-output SMA and ATR (multi-output batch is not exposed uniformly).
//
// cargo build -p wickra-c --release
// dotnet run -c Release --project bindings/csharp/benchmarks # 200k bars
// dotnet run -c Release --project bindings/csharp/benchmarks -- --bars 1000000
using System.Diagnostics;
using System.Globalization;
using Wickra;
// Deterministic, locale-independent number formatting for the report.
CultureInfo.CurrentCulture = CultureInfo.InvariantCulture;
int bars = 200_000;
for (int i = 0; i < args.Length - 1; i++)
{
if (args[i] == "--bars" && int.TryParse(args[i + 1], out var n) && n >= 1000)
{
bars = n;
}
}
// Deterministic synthetic OHLCV (no RNG, so runs are comparable).
var open = new double[bars];
var high = new double[bars];
var low = new double[bars];
var close = new double[bars];
var volume = new double[bars];
var timestamp = new long[bars];
for (int i = 0; i < bars; i++)
{
double mid = 100 + Math.Sin(i * 0.001) * 20 + i * 1e-4;
double c = mid + Math.Sin(i * 0.05) * 2;
close[i] = c;
open[i] = mid;
high[i] = Math.Max(c, mid) + 1.5;
low[i] = Math.Min(c, mid) - 1.5;
volume[i] = 1000 + (i % 97) * 13;
timestamp[i] = i;
}
double Mups(double ns) => bars / (ns / 1e9) / 1e6;
// Median elapsed-ns over a few repetitions, after one warmup pass.
double TimeNs(Action fn, int reps = 3)
{
fn(); // warmup (JIT + cache)
var samples = new double[reps];
for (int r = 0; r < reps; r++)
{
long t0 = Stopwatch.GetTimestamp();
fn();
samples[r] = (Stopwatch.GetTimestamp() - t0) * (1e9 / Stopwatch.Frequency);
}
Array.Sort(samples);
return samples[reps / 2];
}
// SMA (scalar 1-in/1-out), ATR (multi-in/1-out), MACD (1-in/multi-out).
var indicators = new (string Name, Action Stream, Action? Batch)[]
{
("SMA(20)",
() => { using var ind = new Sma(20); for (int i = 0; i < bars; i++) ind.Update(close[i]); },
() => { using var ind = new Sma(20); ind.Batch(close); }),
("ATR(14)",
() => { using var ind = new Atr(14); for (int i = 0; i < bars; i++) ind.Update(open[i], high[i], low[i], close[i], volume[i], timestamp[i]); },
() => { using var ind = new Atr(14); ind.Batch(open, high, low, close, volume, timestamp); }),
("MACD(12,26,9)",
() => { using var ind = new MacdIndicator(12, 26, 9); for (int i = 0; i < bars; i++) ind.Update(close[i]); },
null), // multi-output: streaming only
};
Console.WriteLine($"Wickra C# throughput - {bars:N0} bars (median of 3 runs)\n");
Console.WriteLine($"{"Indicator",-22}{"streaming (Mupd/s)",20}{"batch (Mupd/s)",18}");
Console.WriteLine(new string('-', 60));
foreach (var (name, stream, batch) in indicators)
{
string streamMups = Mups(TimeNs(stream)).ToString("F1");
string batchMups = batch is null ? "-" : Mups(TimeNs(batch)).ToString("F1");
Console.WriteLine($"{name,-22}{streamMups,20}{batchMups,18}");
}
Console.WriteLine(
"\nMupd/s = million indicator updates per second. Streaming is the per-tick\n" +
"Update path crossing the managed<->C-ABI boundary once per value; batch is\n" +
"the bulk array path (one boundary crossing). Higher is better. Numbers are\n" +
"machine-dependent - use them for relative comparison, not as a speed claim.");