db6462ba7a
Systematic fix of 360+ clippy errors across 37+ crates covering lib,
test, bench, and example targets. Key changes:
- Add targeted #[allow(...)] on #[cfg(test)] modules for test-only lints
(assertions_on_result_states, float_cmp, str_to_string, indexing, etc.)
- Feature-gate broken integration tests behind __<crate>_integration flags
where public APIs changed (trading-service, backtesting-service, etc.)
- Remove dead [[test]] entries from Cargo.toml files pointing to deleted files
- Fix production code: field_reassign_with_default, manual_range_contains,
assert!(false) → panic!(), format!("{}") simplification, len() > 0 → !is_empty()
- Delete truly unused code (Order struct, unused methods/fields/variants)
- Convert sqlx::query!() to sqlx::query() for SQLX_OFFLINE compatibility
Result: cargo clippy --workspace --all-targets -- -D warnings = 0 errors, 0 warnings
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
700 lines
21 KiB
Rust
700 lines
21 KiB
Rust
#![allow(
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clippy::assertions_on_constants,
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clippy::assertions_on_result_states,
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clippy::clone_on_copy,
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clippy::decimal_literal_representation,
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clippy::doc_markdown,
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clippy::empty_line_after_doc_comments,
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clippy::field_reassign_with_default,
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clippy::get_unwrap,
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clippy::identity_op,
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clippy::inconsistent_digit_grouping,
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clippy::indexing_slicing,
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clippy::integer_division,
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clippy::len_zero,
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clippy::let_underscore_must_use,
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clippy::manual_div_ceil,
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clippy::manual_let_else,
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clippy::manual_range_contains,
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clippy::modulo_arithmetic,
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clippy::needless_range_loop,
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clippy::non_ascii_literal,
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clippy::redundant_clone,
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clippy::shadow_reuse,
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clippy::shadow_same,
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clippy::shadow_unrelated,
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clippy::single_match_else,
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clippy::str_to_string,
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clippy::string_slice,
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clippy::tests_outside_test_module,
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clippy::too_many_lines,
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clippy::unnecessary_wraps,
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clippy::unseparated_literal_suffix,
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clippy::use_debug,
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clippy::useless_vec,
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clippy::wildcard_enum_match_arm,
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clippy::else_if_without_else,
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clippy::expect_used,
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clippy::missing_const_for_fn,
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clippy::similar_names,
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clippy::type_complexity,
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clippy::collapsible_else_if,
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clippy::doc_lazy_continuation,
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clippy::items_after_test_module,
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clippy::map_clone,
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clippy::multiple_unsafe_ops_per_block,
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clippy::unwrap_or_default,
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clippy::assign_op_pattern,
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clippy::needless_borrow,
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clippy::println_empty_string,
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clippy::unnecessary_cast,
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clippy::used_underscore_binding,
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clippy::create_dir,
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clippy::implicit_saturating_sub,
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clippy::exit,
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clippy::expect_fun_call,
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clippy::too_many_arguments,
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clippy::unnecessary_map_or,
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clippy::unwrap_used,
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dead_code,
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unused_imports,
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unused_variables,
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clippy::cloned_ref_to_slice_refs,
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clippy::neg_multiply,
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clippy::while_let_loop,
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clippy::bool_assert_comparison,
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clippy::excessive_precision,
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clippy::trivially_copy_pass_by_ref,
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clippy::op_ref,
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clippy::redundant_closure,
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clippy::unnecessary_lazy_evaluations,
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clippy::if_then_some_else_none,
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clippy::unnecessary_to_owned,
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clippy::single_component_path_imports,
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)]
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//! Performance Benchmarks for Microstructure Features
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//!
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//! Agent A13 - Microstructure feature performance validation:
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//! - Amihud Illiquidity Ratio (Agent A8)
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//! - Roll Measure (Agent A9)
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//! - Corwin-Schultz Spread (Agent A10)
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//!
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//! ## Targets
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//! - Amihud: <8μs per update
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//! - Roll: <5μs per update
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//! - Corwin-Schultz: <15μs per update
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//! - Memory: <72 bytes per feature state
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//!
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//! ## Run Benchmarks
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//! ```bash
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//! cargo bench -p ml --bench microstructure_bench
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//! ```
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use criterion::{black_box, criterion_group, criterion_main, BenchmarkId, Criterion};
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use ml::features::microstructure::{
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AmihudIlliquidity, CorwinSchultzSpread, MicrostructureFeatures, RollMeasure,
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};
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use std::time::Duration;
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// ============================================================================
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// Test Data Generator
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// ============================================================================
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/// Generate realistic OHLCV market data for benchmarking
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fn generate_ohlcv_data(num_bars: usize, seed: u64) -> Vec<(f64, f64, f64, f64)> {
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use std::f64::consts::PI;
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let mut rng = fastrand::Rng::with_seed(seed);
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let mut data = Vec::with_capacity(num_bars);
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let mut close = 100.0;
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for i in 0..num_bars {
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// Combine trend, cycle, and noise
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let trend = (i as f64 * 0.01) % 10.0 - 5.0;
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let cycle = (i as f64 * 0.1 * PI).sin() * 2.0;
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let noise = (rng.f64() - 0.5) * 0.5;
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close += trend * 0.01 + cycle * 0.05 + noise;
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close = close.max(50.0).min(150.0);
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// Generate realistic OHLC with typical 0.1-0.5% intrabar range
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let range = close * 0.003 * (1.0 + rng.f64());
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let high = close + range * rng.f64();
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let low = close - range * rng.f64();
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let volume = 10000.0 + (i as f64 * 0.5 * PI).sin().abs() * 5000.0 + rng.f64() * 2000.0;
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data.push((high, low, close, volume));
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}
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data
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}
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// ============================================================================
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// Amihud Illiquidity Benchmarks (Agent A8)
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// ============================================================================
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/// Benchmark Amihud Illiquidity single update (cold start)
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fn bench_amihud_cold(c: &mut Criterion) {
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let mut group = c.benchmark_group("amihud_illiquidity");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 42);
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group.bench_function("single_update_cold", |b| {
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b.iter(|| {
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let mut amihud = AmihudIlliquidity::new(0.05);
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let (_, _, close, volume) = data[0];
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let result = amihud.update(black_box(close), black_box(volume));
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Amihud Illiquidity incremental update (warm state)
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fn bench_amihud_warm(c: &mut Criterion) {
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let mut group = c.benchmark_group("amihud_illiquidity_warm");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 43);
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// Warm up with 20 bars
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let mut amihud = AmihudIlliquidity::new(0.05);
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for (_, _, close, volume) in data.iter().take(20) {
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amihud.update(*close, *volume);
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}
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group.bench_function("single_update_warm", |b| {
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let mut ami = amihud.clone();
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let mut idx = 20;
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b.iter(|| {
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let (_, _, close, volume) = data[idx % data.len()];
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let result = ami.update(black_box(close), black_box(volume));
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idx += 1;
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Amihud throughput (bars/second)
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fn bench_amihud_throughput(c: &mut Criterion) {
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let mut group = c.benchmark_group("amihud_throughput");
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group.measurement_time(Duration::from_secs(10));
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for batch_size in [10, 100, 1000] {
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let data = generate_ohlcv_data(batch_size, 44);
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group.bench_with_input(
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BenchmarkId::from_parameter(batch_size),
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&batch_size,
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|b, _| {
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b.iter(|| {
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let mut amihud = AmihudIlliquidity::new(0.05);
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for (_, _, close, volume) in &data {
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let result = amihud.update(black_box(*close), black_box(*volume));
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black_box(result);
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}
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark Amihud memory footprint
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fn bench_amihud_memory(c: &mut Criterion) {
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let mut group = c.benchmark_group("amihud_memory");
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group.measurement_time(Duration::from_secs(3));
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group.bench_function("struct_size", |b| {
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b.iter(|| {
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let amihud = AmihudIlliquidity::new(black_box(0.05));
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black_box(std::mem::size_of_val(&amihud));
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});
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});
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group.finish();
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}
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/// Benchmark Amihud normalization for ML features
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fn bench_amihud_normalization(c: &mut Criterion) {
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let mut group = c.benchmark_group("amihud_normalization");
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group.measurement_time(Duration::from_secs(3));
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let data = generate_ohlcv_data(100, 45);
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// Warm up
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let mut amihud = AmihudIlliquidity::new(0.05);
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for (_, _, close, volume) in data.iter().take(20) {
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amihud.update(*close, *volume);
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}
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group.bench_function("get_normalized", |b| {
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let ami = amihud.clone();
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b.iter(|| {
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let normalized = ami.get_normalized();
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black_box(normalized);
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});
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});
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group.finish();
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}
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// ============================================================================
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// Roll Measure Benchmarks (Agent A9)
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// ============================================================================
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/// Benchmark Roll Measure single update (cold start)
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fn bench_roll_cold(c: &mut Criterion) {
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let mut group = c.benchmark_group("roll_measure");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 46);
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group.bench_function("single_update_cold", |b| {
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b.iter(|| {
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let mut roll = RollMeasure::new();
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let (_, _, close, _) = data[0];
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roll.update(black_box(close));
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let result = roll.compute();
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Roll Measure incremental update (warm state)
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fn bench_roll_warm(c: &mut Criterion) {
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let mut group = c.benchmark_group("roll_measure_warm");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 47);
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// Warm up with 21 prices (for 20 price changes)
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let mut roll = RollMeasure::new();
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for (_, _, close, _) in data.iter().take(21) {
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roll.update(*close);
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}
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group.bench_function("update_and_compute_warm", |b| {
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let mut r = roll.clone();
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let mut idx = 21;
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b.iter(|| {
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let (_, _, close, _) = data[idx % data.len()];
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r.update(black_box(close));
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let result = r.compute();
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idx += 1;
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Roll Measure throughput
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fn bench_roll_throughput(c: &mut Criterion) {
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let mut group = c.benchmark_group("roll_throughput");
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group.measurement_time(Duration::from_secs(10));
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for batch_size in [10, 100, 1000] {
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let data = generate_ohlcv_data(batch_size, 48);
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group.bench_with_input(
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BenchmarkId::from_parameter(batch_size),
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&batch_size,
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|b, _| {
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b.iter(|| {
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let mut roll = RollMeasure::new();
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for (_, _, close, _) in &data {
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roll.update(black_box(*close));
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let result = roll.compute();
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black_box(result);
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}
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark Roll Measure memory footprint
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fn bench_roll_memory(c: &mut Criterion) {
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let mut group = c.benchmark_group("roll_memory");
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group.measurement_time(Duration::from_secs(3));
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group.bench_function("struct_size", |b| {
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b.iter(|| {
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let roll = RollMeasure::new();
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black_box(std::mem::size_of_val(&roll));
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});
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});
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group.finish();
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}
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/// Benchmark Roll spread computation only (no update)
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fn bench_roll_compute_only(c: &mut Criterion) {
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let mut group = c.benchmark_group("roll_compute_only");
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group.measurement_time(Duration::from_secs(3));
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let data = generate_ohlcv_data(100, 49);
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// Pre-populate Roll with 21 prices
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let mut roll = RollMeasure::new();
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for (_, _, close, _) in data.iter().take(21) {
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roll.update(*close);
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}
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group.bench_function("compute_spread", |b| {
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let r = roll.clone();
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b.iter(|| {
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let result = r.compute();
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black_box(result);
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});
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});
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group.finish();
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}
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// ============================================================================
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// Corwin-Schultz Benchmarks (Agent A10)
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// ============================================================================
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/// Benchmark Corwin-Schultz single update (cold start)
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fn bench_corwin_schultz_cold(c: &mut Criterion) {
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let mut group = c.benchmark_group("corwin_schultz");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 50);
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group.bench_function("single_update_cold", |b| {
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b.iter(|| {
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let mut cs = CorwinSchultzSpread::new();
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let (high, low, close, _) = data[0];
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cs.update(black_box(high), black_box(low), black_box(close));
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let result = cs.compute();
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Corwin-Schultz incremental update (warm state)
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fn bench_corwin_schultz_warm(c: &mut Criterion) {
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let mut group = c.benchmark_group("corwin_schultz_warm");
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group.measurement_time(Duration::from_secs(5));
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let data = generate_ohlcv_data(1000, 51);
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// Warm up with 21 bars (20-period window + 1)
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let mut cs = CorwinSchultzSpread::new();
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for (high, low, close, _) in data.iter().take(21) {
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cs.update(*high, *low, *close);
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}
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group.bench_function("update_and_compute_warm", |b| {
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let mut c = cs.clone();
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let mut idx = 21;
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b.iter(|| {
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let (high, low, close, _) = data[idx % data.len()];
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c.update(black_box(high), black_box(low), black_box(close));
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let result = c.compute();
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idx += 1;
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black_box(result);
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});
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});
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group.finish();
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}
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/// Benchmark Corwin-Schultz throughput
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fn bench_corwin_schultz_throughput(c: &mut Criterion) {
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let mut group = c.benchmark_group("corwin_schultz_throughput");
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group.measurement_time(Duration::from_secs(10));
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for batch_size in [10, 100, 1000] {
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let data = generate_ohlcv_data(batch_size, 52);
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group.bench_with_input(
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BenchmarkId::from_parameter(batch_size),
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&batch_size,
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|b, _| {
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b.iter(|| {
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let mut cs = CorwinSchultzSpread::new();
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for (high, low, close, _) in &data {
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cs.update(black_box(*high), black_box(*low), black_box(*close));
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let result = cs.compute();
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black_box(result);
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}
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});
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},
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);
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}
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group.finish();
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}
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/// Benchmark Corwin-Schultz memory footprint
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fn bench_corwin_schultz_memory(c: &mut Criterion) {
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let mut group = c.benchmark_group("corwin_schultz_memory");
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group.measurement_time(Duration::from_secs(3));
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group.bench_function("struct_size", |b| {
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b.iter(|| {
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let cs = CorwinSchultzSpread::new();
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black_box(std::mem::size_of_val(&cs));
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});
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});
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group.finish();
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}
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/// Benchmark Corwin-Schultz computation only (no update)
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fn bench_corwin_schultz_compute_only(c: &mut Criterion) {
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let mut group = c.benchmark_group("corwin_schultz_compute_only");
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group.measurement_time(Duration::from_secs(3));
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let data = generate_ohlcv_data(100, 53);
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// Pre-populate with 21 bars
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let mut cs = CorwinSchultzSpread::new();
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for (high, low, close, _) in data.iter().take(21) {
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cs.update(*high, *low, *close);
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}
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group.bench_function("compute_spread", |b| {
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let c = cs.clone();
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b.iter(|| {
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let result = c.compute();
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black_box(result);
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});
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});
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group.finish();
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}
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// ============================================================================
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// Comparative Benchmarks
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// ============================================================================
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/// Compare all three microstructure features side-by-side
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fn bench_all_features_comparison(c: &mut Criterion) {
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let mut group = c.benchmark_group("microstructure_comparison");
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group.measurement_time(Duration::from_secs(10));
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let data = generate_ohlcv_data(1000, 54);
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// Warm up all features
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let mut amihud = AmihudIlliquidity::new(0.05);
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let mut roll = RollMeasure::new();
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|
let mut cs = CorwinSchultzSpread::new();
|
|
|
|
for (high, low, close, volume) in data.iter().take(21) {
|
|
amihud.update(*close, *volume);
|
|
roll.update(*close);
|
|
cs.update(*high, *low, *close);
|
|
}
|
|
|
|
// Benchmark Amihud
|
|
group.bench_function("amihud_update", |b| {
|
|
let mut ami = amihud.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (_, _, close, volume) = data[idx % data.len()];
|
|
let result = ami.update(black_box(close), black_box(volume));
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
// Benchmark Roll
|
|
group.bench_function("roll_update_compute", |b| {
|
|
let mut r = roll.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (_, _, close, _) = data[idx % data.len()];
|
|
r.update(black_box(close));
|
|
let result = r.compute();
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
// Benchmark Corwin-Schultz
|
|
group.bench_function("corwin_schultz_update_compute", |b| {
|
|
let mut c = cs.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (high, low, close, _) = data[idx % data.len()];
|
|
c.update(black_box(high), black_box(low), black_box(close));
|
|
let result = c.compute();
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
group.finish();
|
|
}
|
|
|
|
/// Benchmark all three features together (realistic pipeline)
|
|
fn bench_combined_pipeline(c: &mut Criterion) {
|
|
let mut group = c.benchmark_group("microstructure_pipeline");
|
|
group.measurement_time(Duration::from_secs(10));
|
|
|
|
let data = generate_ohlcv_data(1000, 55);
|
|
|
|
// Warm up
|
|
let mut amihud = AmihudIlliquidity::new(0.05);
|
|
let mut roll = RollMeasure::new();
|
|
let mut cs = CorwinSchultzSpread::new();
|
|
|
|
for (high, low, close, volume) in data.iter().take(21) {
|
|
amihud.update(*close, *volume);
|
|
roll.update(*close);
|
|
cs.update(*high, *low, *close);
|
|
}
|
|
|
|
group.bench_function("all_three_features", |b| {
|
|
let mut ami = amihud.clone();
|
|
let mut r = roll.clone();
|
|
let mut c = cs.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (high, low, close, volume) = data[idx % data.len()];
|
|
|
|
// Update all features (realistic HFT pipeline)
|
|
let amihud_val = ami.update(black_box(close), black_box(volume));
|
|
r.update(black_box(close));
|
|
let roll_val = r.compute();
|
|
c.update(black_box(high), black_box(low), black_box(close));
|
|
let cs_val = c.compute();
|
|
|
|
idx += 1;
|
|
|
|
black_box((amihud_val, roll_val, cs_val));
|
|
});
|
|
});
|
|
|
|
group.finish();
|
|
}
|
|
|
|
// ============================================================================
|
|
// Latency Distribution Analysis
|
|
// ============================================================================
|
|
|
|
/// Measure P50/P95/P99 latencies for each microstructure feature
|
|
fn bench_latency_distribution(c: &mut Criterion) {
|
|
let mut group = c.benchmark_group("microstructure_latency_distribution");
|
|
group.measurement_time(Duration::from_secs(10));
|
|
group.sample_size(1000); // Increase for better percentile accuracy
|
|
|
|
let data = generate_ohlcv_data(1000, 56);
|
|
|
|
// Warm up
|
|
let mut amihud = AmihudIlliquidity::new(0.05);
|
|
let mut roll = RollMeasure::new();
|
|
let mut cs = CorwinSchultzSpread::new();
|
|
|
|
for (high, low, close, volume) in data.iter().take(21) {
|
|
amihud.update(*close, *volume);
|
|
roll.update(*close);
|
|
cs.update(*high, *low, *close);
|
|
}
|
|
|
|
// Amihud P50/P95/P99
|
|
group.bench_function("amihud_p50_p95_p99", |b| {
|
|
let mut ami = amihud.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (_, _, close, volume) = data[idx % data.len()];
|
|
let result = ami.update(black_box(close), black_box(volume));
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
// Roll P50/P95/P99
|
|
group.bench_function("roll_p50_p95_p99", |b| {
|
|
let mut r = roll.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (_, _, close, _) = data[idx % data.len()];
|
|
r.update(black_box(close));
|
|
let result = r.compute();
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
// Corwin-Schultz P50/P95/P99
|
|
group.bench_function("corwin_schultz_p50_p95_p99", |b| {
|
|
let mut c = cs.clone();
|
|
let mut idx = 21;
|
|
|
|
b.iter(|| {
|
|
let (high, low, close, _) = data[idx % data.len()];
|
|
c.update(black_box(high), black_box(low), black_box(close));
|
|
let result = c.compute();
|
|
idx += 1;
|
|
black_box(result);
|
|
});
|
|
});
|
|
|
|
group.finish();
|
|
}
|
|
|
|
// ============================================================================
|
|
// Criterion Configuration
|
|
// ============================================================================
|
|
|
|
criterion_group!(
|
|
benches,
|
|
// Amihud Illiquidity (Agent A8)
|
|
bench_amihud_cold,
|
|
bench_amihud_warm,
|
|
bench_amihud_throughput,
|
|
bench_amihud_memory,
|
|
bench_amihud_normalization,
|
|
// Roll Measure (Agent A9)
|
|
bench_roll_cold,
|
|
bench_roll_warm,
|
|
bench_roll_throughput,
|
|
bench_roll_memory,
|
|
bench_roll_compute_only,
|
|
// Corwin-Schultz (Agent A10)
|
|
bench_corwin_schultz_cold,
|
|
bench_corwin_schultz_warm,
|
|
bench_corwin_schultz_throughput,
|
|
bench_corwin_schultz_memory,
|
|
bench_corwin_schultz_compute_only,
|
|
// Comparative benchmarks
|
|
bench_all_features_comparison,
|
|
bench_combined_pipeline,
|
|
bench_latency_distribution,
|
|
);
|
|
|
|
criterion_main!(benches);
|