Add GA optimizer example for Hyperliquid strategies

Cargo.toml

@@ -46,6 +46,11 @@ thiserror = "1.0"
 
 [dev-dependencies]
 chrono = { version = "0.4", default-features = false, features = ["clock", "std"] }
+anyhow = "1"
+rayon = "1.10"
+rand = "0.8"
+tokio = { version = "1", features = ["full"] }
+hyperliquid_rust_sdk = { git = "https://github.com/hyperliquid-dex/hyperliquid-rust-sdk" }
 
 [[example]]
 name = "mode_reporting_example"

examples/ga_optimize.rs

@@ -0,0 +1,329 @@
+// examples/ga_optimize.rs
+// GA-оптимизатор гиперпараметров поверх hyperliquid-backtest.
+//
+// Оптимизируем параметры простой стратегии (например, enhanced_sma_cross):
+//  - fast_ma: u32   [5..50]
+//  - slow_ma: u32   [10..150], slow > fast
+//  - risk_mult: f64 [0.5..3.0] — условный множитель риска/позиции (пример)
+//
+// Цель: максимизировать Total Return и Sharpe, минимизировать Max Drawdown.
+// Для простоты — скалируем в единый скоринг (можно заменить на Pareto/NSGA-II позже).
+//
+// Требования:
+//   cargo run --example ga_optimize
+//
+// Основано на рабочем примере получения данных и бэктеста из README/docs.
+// См. API: prelude, HyperliquidData::with_ohlc_data, HyperliquidBacktest, enhanced_sma_cross.
+// Docs: https://docs.rs/hyperliquid-backtest (см. prelude, Quick Start) и README репозитория.
+//
+
+use anyhow::{Context, Result};
+use chrono::{Duration, FixedOffset, TimeZone, Utc};
+use hyperliquid_backtest::prelude::*;
+use hyperliquid_backtest::{
+    backtest::{HyperliquidBacktest, HyperliquidCommission},
+    data::HyperliquidData,
+    errors::HyperliquidBacktestError,
+    strategies::{enhanced_sma_cross, FundingAwareConfig},
+};
+use hyperliquid_rust_sdk::{types::Candle, BaseUrl, InfoClient};
+use rand::rngs::StdRng;
+use rand::{Rng, SeedableRng};
+use rayon::prelude::*;
+
+// -------------------------------
+// Параметры стратегии (хромосома)
+// -------------------------------
+#[derive(Clone, Debug)]
+struct Params {
+    fast_ma: u32,
+    slow_ma: u32,
+    risk_mult: f64,
+}
+
+impl Params {
+    fn random<R: Rng>(rng: &mut R) -> Self {
+        let mut fast = rng.gen_range(5..=50);
+        let mut slow = rng.gen_range(10..=150);
+        if slow <= fast {
+            slow = fast + rng.gen_range(5..=50).min(150 - fast);
+        }
+        let risk_mult = rng.gen_range(0.5..=3.0);
+        Self {
+            fast_ma: fast,
+            slow_ma: slow.max(fast + 1),
+            risk_mult,
+        }
+    }
+
+    fn mutate<R: Rng>(&mut self, rng: &mut R) {
+        if rng.gen_bool(0.3) {
+            let delta: i32 = rng.gen_range(-5..=5);
+            self.fast_ma = (self.fast_ma as i32 + delta).clamp(5, 80) as u32;
+        }
+        if rng.gen_bool(0.3) {
+            let delta: i32 = rng.gen_range(-10..=10);
+            self.slow_ma = (self.slow_ma as i32 + delta).clamp(10, 200) as u32;
+        }
+        if self.slow_ma <= self.fast_ma {
+            self.slow_ma = self.fast_ma + rng.gen_range(1..=10);
+        }
+        if rng.gen_bool(0.3) {
+            let delta = rng.gen_range(-0.3..=0.3);
+            self.risk_mult = (self.risk_mult + delta).clamp(0.3, 5.0);
+        }
+    }
+
+    fn crossover<R: Rng>(&self, other: &Self, rng: &mut R) -> Self {
+        let fast = if rng.gen_bool(0.5) {
+            self.fast_ma
+        } else {
+            other.fast_ma
+        };
+        let slow = if rng.gen_bool(0.5) {
+            self.slow_ma
+        } else {
+            other.slow_ma
+        };
+        let risk = if rng.gen_bool(0.5) {
+            self.risk_mult
+        } else {
+            other.risk_mult
+        };
+        let mut child = Self {
+            fast_ma: fast,
+            slow_ma: slow,
+            risk_mult: risk,
+        };
+        if child.slow_ma <= child.fast_ma {
+            child.slow_ma = child.fast_ma + 1;
+        }
+        child
+    }
+}
+
+// -------------------------------
+// Метрики fitness
+// -------------------------------
+#[derive(Clone, Debug)]
+struct Metrics {
+    total_return: f64, // 0.25 = 25%
+    sharpe: f64,
+    max_drawdown: f64, // положительное число, напр. 0.12 = 12%
+}
+
+fn score(m: &Metrics) -> f64 {
+    let w1 = 1.0;
+    let w2 = 0.8;
+    let w3 = 0.7;
+    w1 * m.total_return + w2 * m.sharpe - w3 * m.max_drawdown
+}
+
+// -------------------------------------------
+// Запуск одного бэктеста и получение метрик
+// -------------------------------------------
+fn evaluate_once(
+    base_data: &HyperliquidData,
+    base_currency: &str,
+    params: &Params,
+    initial_capital: f64,
+) -> Result<Metrics, HyperliquidBacktestError> {
+    let mut data = base_data.clone();
+    data.symbol = base_currency.to_string();
+
+    let strategy = enhanced_sma_cross(
+        data.to_rs_backtester_data(),
+        params.fast_ma as usize,
+        params.slow_ma as usize,
+        FundingAwareConfig::default(),
+    );
+
+    let mut backtest = HyperliquidBacktest::new(
+        data,
+        strategy,
+        initial_capital * params.risk_mult,
+        HyperliquidCommission::default(),
+    )?;
+
+    backtest.initialize_base_backtest()?;
+    backtest.calculate_with_funding()?;
+
+    let report = backtest.enhanced_report()?;
+
+    Ok(Metrics {
+        total_return: report.total_return,
+        sharpe: report.sharpe_ratio,
+        max_drawdown: report.max_drawdown.abs(),
+    })
+}
+
+// -------------------------------
+// Простой GA-движок
+// -------------------------------
+#[derive(Clone)]
+struct Individual {
+    params: Params,
+    metrics: Option<Metrics>,
+    fitness: f64,
+}
+
+fn tournament<'a>(population: &'a [Individual], rng: &mut StdRng, k: usize) -> &'a Individual {
+    let mut best = rng.gen_range(0..population.len());
+    let mut best_score = population[best].fitness;
+    for _ in 1..k {
+        let idx = rng.gen_range(0..population.len());
+        if population[idx].fitness > best_score {
+            best = idx;
+            best_score = population[idx].fitness;
+        }
+    }
+    &population[best]
+}
+
+fn evaluate_population(
+    population: &mut [Individual],
+    base_data: &HyperliquidData,
+    base_currency: &str,
+    initial_capital: f64,
+) -> Result<(), HyperliquidBacktestError> {
+    population
+        .par_iter_mut()
+        .try_for_each(|ind| -> Result<(), HyperliquidBacktestError> {
+            let metrics = evaluate_once(base_data, base_currency, &ind.params, initial_capital)?;
+            ind.fitness = score(&metrics);
+            ind.metrics = Some(metrics);
+            Ok(())
+        })
+}
+
+fn candles_to_data(
+    candles: &[Candle],
+    symbol: &str,
+) -> Result<HyperliquidData, HyperliquidBacktestError> {
+    let mut datetime = Vec::with_capacity(candles.len());
+    let mut open = Vec::with_capacity(candles.len());
+    let mut high = Vec::with_capacity(candles.len());
+    let mut low = Vec::with_capacity(candles.len());
+    let mut close = Vec::with_capacity(candles.len());
+    let mut volume = Vec::with_capacity(candles.len());
+
+    let tz = FixedOffset::east_opt(0).unwrap();
+
+    for candle in candles {
+        let ts = Utc
+            .timestamp_millis_opt(candle.time_open as i64)
+            .single()
+            .ok_or_else(|| {
+                HyperliquidBacktestError::conversion_error(format!(
+                    "Invalid timestamp: {}",
+                    candle.time_open
+                ))
+            })?;
+
+        datetime.push(ts.with_timezone(&tz));
+        open.push(candle.open.parse::<f64>().unwrap_or(0.0));
+        high.push(candle.high.parse::<f64>().unwrap_or(0.0));
+        low.push(candle.low.parse::<f64>().unwrap_or(0.0));
+        close.push(candle.close.parse::<f64>().unwrap_or(0.0));
+        volume.push(candle.vlm.parse::<f64>().unwrap_or(0.0));
+    }
+
+    HyperliquidData::with_ohlc_data(symbol.to_string(), datetime, open, high, low, close, volume)
+}
+
+async fn fetch_candles() -> Result<Vec<Candle>> {
+    let client = InfoClient::new(None, Some(BaseUrl::Mainnet))
+        .await
+        .context("Failed to create Hyperliquid InfoClient")?;
+    let end = Utc::now();
+    let start = end - Duration::days(14);
+
+    let candles = client
+        .candles_snapshot(
+            "BTC".to_string(),
+            "1h".to_string(),
+            start.timestamp_millis() as u64,
+            end.timestamp_millis() as u64,
+        )
+        .await
+        .context("Failed to fetch candles snapshot")?;
+
+    if candles.is_empty() {
+        anyhow::bail!("No candles received from Hyperliquid API");
+    }
+
+    Ok(candles)
+}
+
+#[tokio::main]
+async fn main() -> Result<()> {
+    init_logger();
+
+    println!("🔍 Fetching BTC/USDC 1h candles for the last 14 days...");
+    let candles = fetch_candles().await?;
+    println!("   ✅ Loaded {} candles", candles.len());
+
+    let base_currency = "BTC";
+    let base_data = candles_to_data(&candles, base_currency)?;
+
+    let pop_size = 64usize;
+    let elitism = 4usize;
+    let generations = 25usize;
+    let initial_capital = 10_000.0_f64;
+    let seed = 42u64;
+
+    let mut rng = StdRng::seed_from_u64(seed);
+
+    let mut population: Vec<Individual> = (0..pop_size)
+        .map(|_| Individual {
+            params: Params::random(&mut rng),
+            metrics: None,
+            fitness: f64::NEG_INFINITY,
+        })
+        .collect();
+
+    evaluate_population(&mut population, &base_data, base_currency, initial_capital)
+        .context("Failed to evaluate initial population")?;
+
+    population.sort_by(|a, b| b.fitness.partial_cmp(&a.fitness).unwrap());
+    println!(
+        "Gen 0 | best score={:.4}, params={:?}, metrics={:?}",
+        population[0].fitness, population[0].params, population[0].metrics
+    );
+
+    for gen in 1..=generations {
+        let mut next: Vec<Individual> = population.iter().take(elitism).cloned().collect();
+
+        while next.len() < pop_size {
+            let parent1 = tournament(&population, &mut rng, 3);
+            let parent2 = tournament(&population, &mut rng, 3);
+            let mut child = Individual {
+                params: parent1.params.crossover(&parent2.params, &mut rng),
+                metrics: None,
+                fitness: f64::NEG_INFINITY,
+            };
+            child.params.mutate(&mut rng);
+            next.push(child);
+        }
+
+        evaluate_population(&mut next, &base_data, base_currency, initial_capital)
+            .with_context(|| format!("Failed to evaluate generation {}", gen))?;
+
+        next.sort_by(|a, b| b.fitness.partial_cmp(&a.fitness).unwrap());
+        population = next;
+
+        let best = &population[0];
+        println!(
+            "Gen {} | best score={:.4}, params={:?}, metrics={:?}",
+            gen, best.fitness, best.params, best.metrics
+        );
+    }
+
+    let best = &population[0];
+    println!("\n=== BEST ===");
+    println!("Score:   {:.6}", best.fitness);
+    println!("Params:  {:?}", best.params);
+    println!("Metrics: {:?}", best.metrics);
+
+    Ok(())
+}