Files
fidc-backtest-engine/crates/bt-demo/src/main.rs

504 lines
17 KiB
Rust

use std::error::Error;
use std::fs;
use std::io::Write;
use std::path::{Path, PathBuf};
use chrono::{NaiveDate, NaiveTime};
use fidc_core::{
BacktestConfig, BacktestEngine, BenchmarkSnapshot, BrokerSimulator, ChinaAShareCostModel,
ChinaEquityRuleHooks, CnSmallCapRotationConfig, CnSmallCapRotationStrategy, DailyEquityPoint,
DataSet, FillEvent, HoldingSummary, JqMicroCapConfig, JqMicroCapStrategy, PortfolioState,
PriceField, Strategy, StrategyContext,
};
use serde_json::json;
fn main() -> Result<(), Box<dyn Error>> {
let root = workspace_root();
let data_dir = std::env::var("FIDC_BT_DATA_DIR")
.map(PathBuf::from)
.unwrap_or_else(|_| root.join("data/demo"));
let data_layout = std::env::var("FIDC_BT_DATA_LAYOUT").unwrap_or_else(|_| "flat".to_string());
let output_dir = std::env::var("FIDC_BT_OUTPUT_DIR")
.map(PathBuf::from)
.unwrap_or_else(|_| root.join("output/demo"));
let json_output = std::env::var("FIDC_BT_JSON")
.map(|value| value == "1" || value.eq_ignore_ascii_case("true"))
.unwrap_or(false);
fs::create_dir_all(&output_dir)?;
let data = if data_layout == "partitioned" {
DataSet::from_partitioned_dir(&data_dir)?
} else {
DataSet::from_csv_dir(&data_dir)?
};
let strategy_name =
std::env::var("FIDC_BT_STRATEGY").unwrap_or_else(|_| "cn-smallcap-rotation".to_string());
let debug_date = std::env::var("FIDC_BT_DEBUG_DATE")
.ok()
.filter(|value| !value.trim().is_empty())
.map(|value| NaiveDate::parse_from_str(value.trim(), "%Y-%m-%d"))
.transpose()?;
let decision_lag = std::env::var("FIDC_BT_DECISION_LAG")
.ok()
.and_then(|value| value.parse::<usize>().ok());
let execution_price =
std::env::var("FIDC_BT_EXECUTION_PRICE")
.ok()
.map(|value| match value.as_str() {
"close" => PriceField::Close,
"last" => PriceField::Last,
_ => PriceField::Open,
});
let initial_cash = std::env::var("FIDC_BT_INITIAL_CASH")
.ok()
.and_then(|value| value.parse::<f64>().ok());
let start_date = std::env::var("FIDC_BT_START_DATE")
.ok()
.filter(|value| !value.trim().is_empty())
.map(|value| NaiveDate::parse_from_str(value.trim(), "%Y-%m-%d"))
.transpose()?;
let end_date = std::env::var("FIDC_BT_END_DATE")
.ok()
.filter(|value| !value.trim().is_empty())
.map(|value| NaiveDate::parse_from_str(value.trim(), "%Y-%m-%d"))
.transpose()?;
let mut config = BacktestConfig {
initial_cash: initial_cash.unwrap_or(1_000_000.0),
benchmark_code: data.benchmark_code().to_string(),
start_date,
end_date,
decision_lag_trading_days: 1,
execution_price_field: PriceField::Open,
};
let result = match strategy_name.as_str() {
"cn-smallcap-rotation" | "cn-dyn-smallcap-band" => {
let mut strategy_cfg = if strategy_name == "cn-dyn-smallcap-band" {
CnSmallCapRotationConfig::cn_dyn_smallcap_band()
} else {
CnSmallCapRotationConfig::demo()
};
if strategy_cfg.strategy_name == "cn-smallcap-rotation" {
strategy_cfg.base_index_level = 3000.0;
strategy_cfg.base_cap_floor = 38.0;
strategy_cfg.cap_span = 25.0;
}
if let Ok(signal_symbol) = std::env::var("FIDC_BT_SIGNAL_SYMBOL") {
if !signal_symbol.trim().is_empty() {
strategy_cfg.signal_symbol = Some(signal_symbol);
}
}
config.decision_lag_trading_days = decision_lag.unwrap_or(1);
config.execution_price_field = execution_price.unwrap_or(PriceField::Open);
let strategy = CnSmallCapRotationStrategy::new(strategy_cfg);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
config.execution_price_field,
);
let mut engine = BacktestEngine::new(data, strategy, broker, config);
engine.run()?
}
_ => {
let mut strategy_cfg = JqMicroCapConfig::jq_microcap();
if let Ok(signal_symbol) = std::env::var("FIDC_BT_SIGNAL_SYMBOL") {
if !signal_symbol.trim().is_empty() {
strategy_cfg.benchmark_signal_symbol = signal_symbol;
}
}
if let Some(date) = debug_date {
let eligible = data.eligible_universe_on(date);
eprintln!(
"DEBUG eligible_universe_on {} count={}",
date,
eligible.len()
);
for row in eligible.iter().take(20) {
eprintln!(" {} {:.6}", row.symbol, row.market_cap_bn);
}
let mut debug_strategy = JqMicroCapStrategy::new(strategy_cfg.clone());
let decision = debug_strategy.on_day(&StrategyContext {
execution_date: date,
decision_date: date,
decision_index: 1,
data: &data,
portfolio: &PortfolioState::new(10_000_000.0),
})?;
eprintln!("DEBUG notes={:?}", decision.notes);
eprintln!("DEBUG diagnostics={:?}", decision.diagnostics);
return Ok(());
}
config.decision_lag_trading_days = decision_lag.unwrap_or(0);
config.execution_price_field = execution_price.unwrap_or(PriceField::Last);
config.initial_cash = initial_cash.unwrap_or(10_000_000.0);
let strategy = JqMicroCapStrategy::new(strategy_cfg);
let broker = BrokerSimulator::new_with_execution_price(
ChinaAShareCostModel::default(),
ChinaEquityRuleHooks::default(),
config.execution_price_field,
)
.with_intraday_execution_start_time(
NaiveTime::parse_from_str("10:18:00", "%H:%M:%S").expect("valid 10:18:00"),
)
.with_volume_limit(false)
.with_inactive_limit(false)
.with_liquidity_limit(false);
let mut engine = BacktestEngine::new(data, strategy, broker, config);
engine.run()?
}
};
write_equity_curve_csv(&output_dir.join("equity_curve.csv"), &result.equity_curve)?;
write_trades_csv(&output_dir.join("trades.csv"), &result.fills)?;
write_holdings_csv(
&output_dir.join("holdings_summary.csv"),
&result.holdings_summary,
)?;
let summary = build_summary(
&result.strategy_name,
&result.equity_curve,
&result.fills,
&result.holdings_summary,
result.benchmark_series.last(),
&output_dir,
);
print_summary(&summary, &result.equity_curve, &result.holdings_summary);
println!("Artifacts written under {}", output_dir.display());
if json_output {
println!("{}", serde_json::to_string(&summary)?);
}
Ok(())
}
fn workspace_root() -> PathBuf {
Path::new(env!("CARGO_MANIFEST_DIR"))
.join("../..")
.canonicalize()
.expect("workspace root")
}
fn write_equity_curve_csv(path: &Path, rows: &[DailyEquityPoint]) -> Result<(), Box<dyn Error>> {
let mut file = fs::File::create(path)?;
writeln!(
file,
"date,cash,market_value,total_equity,benchmark_close,notes,diagnostics"
)?;
for row in rows {
writeln!(
file,
"{},{:.2},{:.2},{:.2},{:.2},{},{}",
row.date,
row.cash,
row.market_value,
row.total_equity,
row.benchmark_close,
sanitize_csv_field(&row.notes),
sanitize_csv_field(&row.diagnostics),
)?;
}
Ok(())
}
fn write_trades_csv(path: &Path, rows: &[FillEvent]) -> Result<(), Box<dyn Error>> {
let mut file = fs::File::create(path)?;
writeln!(
file,
"date,symbol,side,quantity,price,gross_amount,commission,stamp_tax,net_cash_flow,reason"
)?;
for row in rows {
writeln!(
file,
"{},{},{:?},{},{:.2},{:.2},{:.2},{:.2},{:.2},{}",
row.date,
row.symbol,
row.side,
row.quantity,
row.price,
row.gross_amount,
row.commission,
row.stamp_tax,
row.net_cash_flow,
sanitize_csv_field(&row.reason),
)?;
}
Ok(())
}
fn write_holdings_csv(path: &Path, rows: &[HoldingSummary]) -> Result<(), Box<dyn Error>> {
let mut file = fs::File::create(path)?;
writeln!(
file,
"date,symbol,quantity,average_cost,last_price,market_value,unrealized_pnl,realized_pnl"
)?;
for row in rows {
writeln!(
file,
"{},{},{},{:.2},{:.2},{:.2},{:.2},{:.2}",
row.date,
row.symbol,
row.quantity,
row.average_cost,
row.last_price,
row.market_value,
row.unrealized_pnl,
row.realized_pnl,
)?;
}
Ok(())
}
fn sanitize_csv_field(text: &str) -> String {
text.replace(',', ";")
}
#[derive(Debug, serde::Serialize)]
struct RunSummary {
strategy: String,
start_date: String,
end_date: String,
start_equity: f64,
final_equity: f64,
total_return: f64,
trade_count: usize,
holding_count: usize,
benchmark_code: Option<String>,
benchmark_last_close: Option<f64>,
output_dir: String,
diagnostics: serde_json::Value,
warnings: Vec<String>,
equity_preview: Vec<serde_json::Value>,
trades_preview: Vec<serde_json::Value>,
}
fn build_summary(
strategy_name: &str,
equity_curve: &[DailyEquityPoint],
fills: &[FillEvent],
holdings: &[HoldingSummary],
benchmark_last: Option<&BenchmarkSnapshot>,
output_dir: &Path,
) -> RunSummary {
let first = equity_curve.first();
let last = equity_curve.last();
let start_equity = first.map(|row| row.total_equity).unwrap_or_default();
let final_equity = last.map(|row| row.total_equity).unwrap_or_default();
let total_return = if start_equity.abs() < f64::EPSILON {
0.0
} else {
(final_equity / start_equity) - 1.0
};
let diagnostics = extract_diagnostics(equity_curve);
let warnings = build_warnings(fills, holdings, &diagnostics);
let equity_preview = equity_curve
.iter()
.rev()
.take(5)
.collect::<Vec<_>>()
.into_iter()
.rev()
.map(|row| {
json!({
"date": row.date.to_string(),
"cash": row.cash,
"marketValue": row.market_value,
"totalEquity": row.total_equity,
"benchmarkClose": row.benchmark_close,
"notes": row.notes,
"diagnostics": row.diagnostics,
})
})
.collect::<Vec<_>>();
let trades_preview = fills
.iter()
.rev()
.take(10)
.collect::<Vec<_>>()
.into_iter()
.rev()
.map(|row| {
json!({
"date": row.date.to_string(),
"symbol": row.symbol,
"side": format!("{:?}", row.side),
"quantity": row.quantity,
"price": row.price,
"grossAmount": row.gross_amount,
"netCashFlow": row.net_cash_flow,
"reason": row.reason,
})
})
.collect::<Vec<_>>();
RunSummary {
strategy: strategy_name.to_string(),
start_date: first.map(|row| row.date.to_string()).unwrap_or_default(),
end_date: last.map(|row| row.date.to_string()).unwrap_or_default(),
start_equity,
final_equity,
total_return,
trade_count: fills.len(),
holding_count: holdings.len(),
benchmark_code: benchmark_last.map(|row| row.benchmark.clone()),
benchmark_last_close: benchmark_last.map(|row| row.close),
output_dir: output_dir.display().to_string(),
diagnostics,
warnings,
equity_preview,
trades_preview,
}
}
fn extract_diagnostics(equity_curve: &[DailyEquityPoint]) -> serde_json::Value {
let last = equity_curve.last();
let text = last.map(|row| row.diagnostics.as_str()).unwrap_or("");
let notes = last.map(|row| row.notes.as_str()).unwrap_or("");
let mut map = serde_json::Map::new();
map.insert("latestText".to_string(), json!(text));
map.insert("latestNotes".to_string(), json!(notes));
map.insert("equityPointCount".to_string(), json!(equity_curve.len()));
for part in text.split(" | ") {
let part = part.trim();
if let Some(rest) = part.strip_prefix("selection_diag ") {
for token in rest.split_whitespace() {
if let Some((k, v)) = token.split_once('=') {
map.insert(k.to_string(), parse_diag_value(v));
}
}
} else if let Some(rest) = part.strip_prefix("selection_band ") {
for token in rest.split_whitespace() {
if let Some((k, v)) = token.split_once('=') {
map.insert(k.to_string(), parse_diag_value(v));
}
}
} else if let Some(rest) =
part.strip_prefix("market_cap_missing likely blocks selection; sample=")
{
map.insert(
"marketCapMissingSample".to_string(),
json!(
rest.split('|')
.filter(|s| !s.is_empty())
.collect::<Vec<_>>()
),
);
} else if let Some(rest) = part.strip_prefix("selection_rejections sample=") {
map.insert(
"selectionRejectionsSample".to_string(),
json!(
rest.split(" | ")
.filter(|s| !s.is_empty())
.collect::<Vec<_>>()
),
);
} else if let Some(rest) = part.strip_prefix("ma_filter_rejections sample=") {
map.insert(
"maFilterRejectionsSample".to_string(),
json!(
rest.split('|')
.filter(|s| !s.is_empty())
.collect::<Vec<_>>()
),
);
} else if let Some(rest) = part.strip_prefix("selected=") {
map.insert("selectedLine".to_string(), json!(rest));
}
}
serde_json::Value::Object(map)
}
fn parse_diag_value(value: &str) -> serde_json::Value {
if let Ok(v) = value.parse::<i64>() {
return json!(v);
}
if let Ok(v) = value.parse::<f64>() {
return json!(v);
}
json!(value)
}
fn build_warnings(
fills: &[FillEvent],
holdings: &[HoldingSummary],
diagnostics: &serde_json::Value,
) -> Vec<String> {
let mut warnings = Vec::new();
if fills.is_empty() {
warnings.push("本次回测没有产生任何成交。".to_string());
}
if holdings.is_empty() {
warnings.push("期末没有持仓。".to_string());
}
let selected_after_ma_is_empty = diagnostics
.get("selected_after_ma")
.and_then(|v| v.as_i64())
.unwrap_or(0)
== 0;
if selected_after_ma_is_empty && fills.is_empty() && holdings.is_empty() {
warnings
.push("最终没有股票通过完整选股链路,结果为空时请优先查看 diagnostics。".to_string());
}
if diagnostics
.get("market_cap_missing_count")
.and_then(|v| v.as_i64())
.unwrap_or(0)
> 0
{
warnings.push("存在 market_cap 缺失或非正值,当前会直接阻断该股票进入候选池。".to_string());
}
warnings
}
fn print_summary(
summary: &RunSummary,
equity_curve: &[DailyEquityPoint],
holdings: &[HoldingSummary],
) {
if equity_curve.is_empty() {
println!("No equity curve points generated.");
return;
}
println!("Strategy: {}", summary.strategy);
println!("Start equity: {:.2}", summary.start_equity);
println!("Final equity: {:.2}", summary.final_equity);
println!("Total return: {:.2}%", summary.total_return * 100.0);
println!("Trades: {}", summary.trade_count);
println!("Final holdings: {}", summary.holding_count);
if let (Some(code), Some(close)) = (&summary.benchmark_code, summary.benchmark_last_close) {
println!("Benchmark last close: {} {:.2}", code, close);
}
println!("Recent equity points:");
for point in equity_curve
.iter()
.rev()
.take(3)
.collect::<Vec<_>>()
.into_iter()
.rev()
{
println!(
" {} equity {:.2} cash {:.2} mv {:.2}",
point.date, point.total_equity, point.cash, point.market_value
);
}
if holdings.is_empty() {
println!("No holdings at the end of the demo run.");
} else {
println!("Ending holdings:");
for holding in holdings {
println!(
" {} qty {} mv {:.2} pnl {:.2}",
holding.symbol, holding.quantity, holding.market_value, holding.unrealized_pnl
);
}
}
}