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//! AlgoArena - Strategy Backtesting Battleground.
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//!
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//! This demo showcases multi-agent trading simulation where different strategies
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//! compete head-to-head in a simulated market environment.
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pub mod agents;
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pub mod arena;
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pub mod market;
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pub mod sample_data;
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use algoarena_shared::{TournamentConfig, TournamentResult};
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use thiserror::Error;
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use arena::TradingArena;
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/// Errors that can occur during tournament simulation.
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#[derive(Debug, Error)]
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pub enum AlgoArenaError {
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/// No agents provided.
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#[error("No agents provided for tournament")]
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NoAgents,
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/// No assets provided.
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#[error("No assets provided for simulation")]
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NoAssets,
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/// Invalid configuration.
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#[error("Invalid configuration: {0}")]
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InvalidConfig(String),
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/// Simulation failed.
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#[error("Simulation failed: {0}")]
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SimulationFailed(String),
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}
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/// Main AlgoArena system.
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#[derive(Debug)]
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pub struct AlgoArena {
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/// Trading arena.
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arena: TradingArena,
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}
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impl Default for AlgoArena {
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fn default() -> Self {
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Self::new()
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}
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}
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impl AlgoArena {
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/// Create a new AlgoArena.
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#[must_use]
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pub fn new() -> Self {
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Self {
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arena: TradingArena::new(),
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}
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}
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/// Run a tournament.
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pub fn run_tournament(
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&mut self,
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config: &TournamentConfig,
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) -> Result<TournamentResult, AlgoArenaError> {
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// Validate config
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if config.agents.is_empty() {
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return Err(AlgoArenaError::NoAgents);
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}
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if config.assets.is_empty() {
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return Err(AlgoArenaError::NoAssets);
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}
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if config.num_steps == 0 {
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return Err(AlgoArenaError::InvalidConfig(
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"num_steps must be > 0".to_string(),
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));
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}
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// Run simulation
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self.arena.run(config)
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}
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/// Get the trading arena.
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#[must_use]
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pub fn arena(&self) -> &TradingArena {
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&self.arena
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}
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}
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/// Run the full demo.
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pub fn run_demo() -> Result<TournamentResult, AlgoArenaError> {
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let mut arena = AlgoArena::new();
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let config = sample_data::create_sample_tournament();
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arena.run_tournament(&config)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use algoarena_shared::{
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AgentConfig, AgentParameters, AssetConfig, StrategyType, sample_tournament,
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};
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#[test]
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fn test_algoarena_creation() {
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let arena = AlgoArena::new();
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assert!(std::mem::size_of_val(&arena) > 0);
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}
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#[test]
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fn test_run_tournament() {
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let mut arena = AlgoArena::new();
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let config = sample_tournament();
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let result = arena.run_tournament(&config);
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assert!(result.is_ok());
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let tournament = result.unwrap();
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assert!(!tournament.rankings.is_empty());
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assert_eq!(tournament.rankings[0].rank, 1);
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}
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#[test]
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fn test_no_agents_error() {
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let mut arena = AlgoArena::new();
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let config = TournamentConfig {
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name: "Empty".to_string(),
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num_steps: 100,
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assets: vec![AssetConfig {
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symbol: "TEST".to_string(),
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initial_price: 100.0,
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volatility: 0.01,
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drift: 0.0,
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}],
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agents: vec![],
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transaction_cost_bps: 10.0,
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seed: Some(42),
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};
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let result = arena.run_tournament(&config);
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assert!(matches!(result, Err(AlgoArenaError::NoAgents)));
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}
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#[test]
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fn test_no_assets_error() {
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let mut arena = AlgoArena::new();
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let config = TournamentConfig {
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name: "Empty".to_string(),
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num_steps: 100,
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assets: vec![],
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agents: vec![AgentConfig {
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id: "test".to_string(),
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name: "Test".to_string(),
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strategy: StrategyType::BuyAndHold,
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initial_capital: 100_000.0,
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parameters: AgentParameters::default(),
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}],
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transaction_cost_bps: 10.0,
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seed: Some(42),
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};
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let result = arena.run_tournament(&config);
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assert!(matches!(result, Err(AlgoArenaError::NoAssets)));
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}
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#[test]
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fn test_run_demo() {
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let result = run_demo();
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assert!(result.is_ok());
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let tournament = result.unwrap();
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assert!(tournament.rankings.len() >= 3);
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}
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}
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