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# AI ICT
AI ICT 交易辅助系统第一阶段工程实现。
当前项目已经具备从数据、结构、信号、执行、回测到报告的最小闭环,并提供轻量查询 API、HTTP 调试服务与一键编排入口。
See `docs/` for architecture, database, rule, and migration references.
Database connectivity defaults to a 5 second PostgreSQL connect timeout. Override with `DATABASE_CONNECT_TIMEOUT` when needed.
Set `MIGRATIONS_OUTPUT_JSON=1` when running `run_migrations.py` for a machine-readable migration summary.
## Current closed loop
当前主线可运行链路:
`OKX -> candles -> market_sessions -> swings -> dealing_ranges -> liquidity_pools -> sweep_events -> displacement_events -> MSS -> FVG -> bias_snapshots -> trade_signals -> trade_executions -> backtest_runs -> backtest_results -> reports`
## Runtime utility scripts
- `python3 scripts/run_dev.py` - run the scaffold entrypoint
- `python3 scripts/show_models.py` - list exported ORM model names
- `python3 scripts/check_db.py` - run a simple database connectivity check
- `python3 scripts/run_migrations.py` - apply SQL files in `migrations/` order
- `python3 scripts/run_okx_backfill.py` - fetch and write sample OKX candles
- `python3 scripts/run_session_generator.py` - generate market sessions
- `python3 scripts/run_swings.py` - rebuild swings
- `python3 scripts/run_ranges.py` - rebuild dealing ranges
- `python3 scripts/run_liquidity.py` - rebuild liquidity pools
- `python3 scripts/run_sweeps.py` - rebuild sweep events
- `python3 scripts/run_displacement.py` - rebuild displacement events
- `python3 scripts/run_mss.py` - rebuild MSS structure events
- `python3 scripts/run_fvg.py` - rebuild FVG zones
- `python3 scripts/run_signals.py` - generate bias and signals
- `python3 scripts/run_execution.py` - run paper execution gating, create an execution record, then auto-settle the latest execution for that signal
- `python3 scripts/run_backtest.py` - run backtest and write results
- `python3 scripts/run_autonomous_cycle.py` - run the unattended cycle: offline checks, database probe, readiness checks, then guarded pipeline when the database is available; prints `Next actions` for the next unattended step
- `python3 scripts/run_database_readiness.py` - run read-only database readiness checks for connection, schema, seed data, and candle availability; prints `next_actions` and `action_plan` in JSON mode
- `python3 scripts/run_offline_checks.py` - run database-free automated checks
- `python3 scripts/run_migration_static_checks.py` - check migration order and required core schema without connecting to the database
- `python3 scripts/run_script_static_checks.py` - check automation scripts for unsafe ambient environment fallback patterns
- `python3 scripts/run_replay_file.py <candles.json|candles.jsonl|candles.csv>` - run offline no-lookahead candle replay without database access
- `python3 scripts/run_reports.py` - build sample reports from current services
- `python3 scripts/run_api_server.py` - start a lightweight HTTP API server on `127.0.0.1:8000` and open `/` for the minimal dashboard
- `python3 scripts/run_pipeline.py` - run the current end-to-end closed loop and print a structured summary
Optional report environment variables used by `run_reports.py`:
- `REPORTS_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable sample report output
Optional utility JSON output variables:
- `CHECK_DB_OUTPUT_JSON`
- `CHECK_DB_CONNECTION_OUTPUT_JSON`
- `MIGRATION_CHECKS_OUTPUT_JSON`
- `SCRIPT_CHECKS_OUTPUT_JSON`
- `SHOW_MODELS_OUTPUT_JSON`
Optional structure script JSON output variables:
- `SESSION_GENERATOR_OUTPUT_JSON`
- `SWINGS_OUTPUT_JSON`
- `RANGES_OUTPUT_JSON`
- `LIQUIDITY_OUTPUT_JSON`
- `SWEEPS_OUTPUT_JSON`
- `DISPLACEMENT_OUTPUT_JSON`
- `MSS_OUTPUT_JSON`
- `FVG_OUTPUT_JSON`
Optional backtest cost environment variables used by `run_backtest.py` and `run_pipeline.py`:
- `BACKTEST_FEE_RATE`
- `BACKTEST_SLIPPAGE_RATE`
- `BACKTEST_FIXED_COST_R`
Optional backtest automation gate used by `run_backtest.py` and `run_pipeline.py`:
- `BACKTEST_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable `run_backtest.py` output
- `BACKTEST_REQUIRE_QUALITY_GATE` - set to `1`, `true`, `yes`, or `on` to exit with code `2` when the backtest quality gate fails
- `BACKTEST_MIN_TOTAL_SIGNALS`
- `BACKTEST_MIN_EXECUTED_SIGNALS`
- `BACKTEST_MIN_EXPECTANCY_R`
- `BACKTEST_MIN_PROFIT_FACTOR_R`
- `BACKTEST_MAX_DRAWDOWN_R`
- `BACKTEST_MAX_CONSECUTIVE_LOSSES`
Optional pipeline environment variables used by `run_pipeline.py`:
- `PIPELINE_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable pipeline error output
Optional replay environment variables used by `run_replay_file.py`:
- `OFFLINE_REPLAY_FILE` - optional candle file path used by `run_offline_checks.py` to include replay validation
- `OFFLINE_CHECKS_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable offline check summary output
- `REPLAY_LEFT_BARS`
- `REPLAY_RIGHT_BARS`
- `REPLAY_MIN_CANDLES`
- `REPLAY_MIN_SWINGS`
- `REPLAY_MAX_GAP_MINUTES`
- `REPLAY_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable replay summary output
Example offline replay gate:
```bash
OFFLINE_REPLAY_FILE=tests/fixtures/offline_replay_sample.jsonl \
REPLAY_LEFT_BARS=1 REPLAY_RIGHT_BARS=1 \
REPLAY_MIN_CANDLES=5 REPLAY_MIN_SWINGS=2 \
python3 scripts/run_offline_checks.py
```
Optional OKX backfill environment variables used by `run_okx_backfill.py`:
- `OKX_BACKFILL_SYMBOL` - defaults to `BTC-USDT`
- `OKX_BACKFILL_INST_ID` - defaults to `<symbol>-SWAP`
- `OKX_BACKFILL_PAGES` - defaults to `20`
- `OKX_BACKFILL_LIMIT` - defaults to `100`
- `OKX_BACKFILL_TIMEFRAMES` - defaults to `1m,5m,15m`
- `OKX_BACKFILL_OUTPUT_JSON` - emit a machine-readable backfill summary
Optional autonomous cycle environment variables used by `run_autonomous_cycle.py`:
- `AUTONOMOUS_OUTPUT_JSON` - emit a machine-readable cycle summary
- `AUTONOMOUS_REQUIRE_DB` - return code `2` when the database is unavailable
- `AUTONOMOUS_RUN_PIPELINE` - set to `0` to stop after a successful database probe
- `AUTONOMOUS_MAX_DB_PROBES` - number of database probe attempts before stopping
- `AUTONOMOUS_PROBE_INTERVAL_SECONDS` - sleep interval between database probe attempts
- `AUTONOMOUS_REQUIRE_SCHEMA` - enabled by default; set to `0` to skip core table readiness checks before the guarded pipeline
- `AUTONOMOUS_APPLY_MIGRATIONS` - enabled by default; when schema is not ready, run migrations, recheck schema, then continue
- `AUTONOMOUS_REQUIRE_DATA_READINESS` - enabled by default; set to `0` to skip read-only seed/candle readiness before the guarded pipeline
- `AUTONOMOUS_BACKFILL_CANDLES` - enabled by default; when readiness only lacks candles, run OKX backfill, recheck readiness, then continue
- The guarded pipeline step defaults `BACKTEST_REQUIRE_QUALITY_GATE=1` and `PIPELINE_OUTPUT_JSON=1` unless explicitly overridden
Current autonomous modes emit machine-readable `next_actions` and `action_plan`, including:
- `waiting_for_database` -> `wait_for_database_recovery`
- `database_schema_not_ready` -> `run_migrations_before_pipeline`
- `migration_failed` -> `inspect_migration_output_and_schema`
- `database_readiness_failed` -> the readiness script's own next action, such as `run_okx_backfill_or_load_replay_sample`
- `backfill_failed` -> `inspect_backfill_output_and_data_readiness`
- `pipeline_failed` -> `inspect_pipeline_output_and_quality_gates`
Each `action_plan` item includes the action name, suggested command, description, and `requires_database`.
Optional database readiness environment variables used by `run_database_readiness.py`:
- `READINESS_OUTPUT_JSON`
- `READINESS_REQUIRED_VENUES`
- `READINESS_REQUIRED_INSTRUMENTS`
- `READINESS_CANDLE_INSTRUMENT_ID`
- `READINESS_CANDLE_TIMEFRAME`
- `READINESS_MIN_CANDLES` - defaults to `50`
- `READINESS_MIN_CANDLE_SPAN_MINUTES` - defaults to `60`
- `READINESS_MAX_CANDLE_AGE_MINUTES` - defaults to `240`
Optional account risk environment variables used by `run_execution.py` and `run_pipeline.py`:
- `EXECUTION_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable `run_execution.py` output
- `EXECUTION_SETTLEMENT_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable `run_execution_settlement.py` output
- `EXECUTION_KILL_SWITCH`
- `EXECUTION_DAILY_PNL_PCT`
- `EXECUTION_CONSECUTIVE_LOSSES`
- `EXECUTION_OPEN_POSITIONS`
- `EXECUTION_SAME_SIDE_OPEN_POSITIONS`
- `EXECUTION_MAX_DAILY_LOSS_PCT`
- `EXECUTION_MAX_CONSECUTIVE_LOSSES`
- `EXECUTION_MAX_OPEN_POSITIONS`
- `EXECUTION_MAX_SAME_SIDE_POSITIONS`
Optional signal quality environment variables used by `run_signals.py` and `run_pipeline.py`:
- `SIGNALS_OUTPUT_JSON` - set to `1`, `true`, `yes`, or `on` for machine-readable `run_signals.py` output
- `SIGNAL_EVIDENCE_MODE` - `minimal` by default, or `strict` to require sweep/displacement/liquidity evidence before building a signal
## Lightweight API helpers
The `src/api/` package exposes internal query helpers and HTTP routes for:
- `GET /health`
- `GET /candles?instrument_id=1&timeframe=1m&limit=100`
- `GET /sessions?instrument_id=1&limit=20`
- `GET /signals?instrument_id=1&limit=20`
- `GET /executions?instrument_id=1&limit=20`
- `GET /backtests?instrument_id=1&limit=10`
Open `/` in the browser for the minimal dashboard, which now includes health, candles, signals, sessions, executions, and backtests.
## Validation
Unit tests:
- `python3 -m unittest discover -s tests/unit -p "test_*.py"`