CLI API
TradeJS command-line interface is exposed as the @tradejs/cli package.
Use it after package install via:
npx @tradejs/cli <command> [flags]
Run command-level help whenever you need the exact current syntax:
npx @tradejs/cli backtest --help
Command Map
Setup and diagnostics:
doctor- validate required services and optional ML connectivity.infra-init- initialize local infrastructure state.infra-up/infra-down- start or stop local infrastructure.server-health- check service health.user-add- create a user config.migration- run migration tasks.
Research and backtesting:
backtest- run strategy backtests or refresh market cache.results- inspect, merge, update, or clear selected strategy results in Redis.runtime-parity- replay runtime entries against deterministic backtest logic.replay- replay stored runtime data.runtime-evidence- collect runtime evidence.replay-runtime-evidence- replay collected runtime evidence.execution-calibration- inspect runtime execution assumptions.
Runtime and signals:
signals- evaluate runtime strategies on the latest closed candle.signals-summary- summarize recent runtime signal/order state.bot- run the Telegram bot.
research:auto and agent-run are source-repository maintainer workflows, not
supported external package commands. They are intentionally outside this public
command map even though the package currently contains their launchers.
Market data and maintenance:
continuity- check or repair candle continuity.binance:market-ingest- ingest Binance market data.candles:migrate-provider- migrate candle provider naming.derivatives:ingest- ingest derivatives context.derivatives:ingest:coinalyze:all- ingest Coinalyze derivatives context for all configured targets.spread:ingest- ingest Binance/Coinbase spread context.maintenance:cleanup-market-context- clean old market-context records.clean-dir,clean-redis,clean-tests- maintenance cleanup helpers.
ML and AI:
ml-export- export ML dataset rows.ml-inspect- inspect ML datasets.ml-train:latest- train/select the latest ML dataset.ai-export- export AI prompt/evaluation datasets.ai-train- replay AI datasets and measure gate behavior.ai-pocket-search- search deterministic AI-gate feature pockets.test-ml,test-script- diagnostic test commands.
Common Examples
# Check local dependencies
npx @tradejs/cli doctor
# Refresh candles without running tests
npx @tradejs/cli backtest --updateOnly --tickers BTCUSDT,ETHUSDT
# Run a cache-only backtest over one symbol
npx @tradejs/cli backtest --config MaStrategy:base --tickers BTCUSDT --cacheOnly
# Evaluate runtime signals without placing orders
npx @tradejs/cli signals --tickers BTCUSDT --cacheOnly --skipScreenshots
# Inspect selected backtest results for one strategy
npx @tradejs/cli results --strategy TrendLine --coverage
Backtest
backtest is the main research command.
Ticker and execution scope:
-t, --tickers- comma-separated symbols.-e, --exclude- comma-separated symbols to skip.-l, --tickersLimit- cap the number of symbols.-n, --tests- cap the number of config tests.-s, --skip- skip the first N tests.-p, --parallel- worker count.-f, --timeframe- interval in minutes.-d, --days- run only the recent N-day window.--startTime,--endTime- explicit backtest window, epoch seconds or milliseconds.
Data and cache:
-u, --updateOnly- refresh market cache only.-C, --cacheOnly- use cached market data only.-L, --showTickersList- print resolved ticker list and exit.-o, --connector- connector provider/name, for examplebybit,binance,coinbase, orcustom.
Config and output:
-c, --config- backtest config key, for exampleMaStrategy:base.-T, --top- number of best result/config buckets to print for grid runs.-g, --progressStep- progress logging interval.-U, --user- Redis user config, defaultroot.--fast- skip per-test artifact persistence and keep summary/dataset output.-K, --continue- continue the latest compatible interrupted run.-R, --runId- explicit backtest run id to continue.
Execution assumptions:
--backtestPriceMode- delayed entry execution price mode:open,close, ormid.--backtestEntryDelayBars- delay entry execution by N closed bars after the signal.
Dataset output:
-m, --ml- write ML dataset rows to per-worker JSONL chunks.-A, --ai- write AI prompt rows to per-worker JSONL chunks.
Backtest config keys are stored in Redis under users:<user>:backtests:configs:<StrategyName:configName>.
See Create a backtest config.
Signals
signals evaluates configured runtime strategies on the latest closed candle.
-t, --tickers- comma-separated symbols.-e, --exclude- symbols to skip.-l, --tickersLimit- cap the number of symbols.-f, --timeframe- interval in minutes.-m, --makeOrders- allow order placement when strategies and connector config permit it.-N, --notify- send Telegram notifications.-S, --skipScreenshots- skip screenshot generation.-u, --updateOnly- refresh market cache only.-C, --cacheOnly- use cached market data only.-L, --showTickersList- print resolved ticker list and exit.-p, --parallel- signal evaluation worker count.-R, --showSkipStats- show aggregated skip stats by strategy.-c, --chunk- split the universe, for example1/3.-U, --user- Redis user config.-o, --connector- connector provider/name.
Signals Summary
signals-summary summarizes recent runtime signal/order state.
-u, --user- Redis user config.--connector- connector provider/name for reconciliation.-H, --hours- summary window in hours.-P, --printOnly- print summary instead of sending it to Telegram.--debugAttachment- attach runtime Redis debug JSON for replay diagnostics.
Results
results inspects and manages selected strategy results saved in Redis.
-s, --strategy- strategy name. Required.-C, --coverage- show coverage table.-u, --update- update results config in Redis.-m, --merge- merge results config in Redis.-c, --clear- clear results config in Redis.-V, --verbose- verbose output.-U, --user- Redis user config.
Use this command to inspect candidate configs before promoting them into runtime settings.
Runtime Parity
runtime-parity compares runtime entry records with deterministic backtest replay.
-u, --user- Redis user config and runtime journal.-o, --connector- connector provider/name.-d, --days- replay window in days.-b, --startTime,-e, --endTime- explicit replay window, epoch seconds or milliseconds.-s, --strategy- compare one strategy only.-t, --tickers- replay comma-separated symbols for configured strategies.-C, --cacheOnly- do not refresh market history before replay.-a, --toleranceBars- allowed entry timestamp drift in bars.--fullUniverse- replay every configured strategy across the connector universe.--runtimeGates- force runtime AI/ML gates for all replay targets.-N, --notify- send parity summary to Telegram.-D, --details- print unmatched entry details.
AI Train
ai-train replays exported AI rows and summarizes approval behavior.
-o, --outDir- dataset directory, defaultdata/ai/export.-s, --strategy- strategy filter for the merged file.-f, --file- explicit merged dataset file path.-n, --recent- recent rows to evaluate from the end,0means all rows.-k, --skip- recent rows to skip before selecting replay rows.-p, --parallel- concurrent AI requests.-m, --model- model id override for replay.-M, --minQuality- minimum quality required to approve entry.-l, --localOnly- replay deterministic adapter gate without provider calls.-U, --user- Redis user config.-c, --chart- save compact chart data for the strategies UI.-j, --json- print structured JSON summary.-S, --since,-u, --until- restrict evaluated rows by timestamp.-P, --period- trailing selected-row period such aslast365d,last90d, orlast30d.-q, --qualityThresholds- comma-separatedqN+thresholds.-d, --dumpEvaluations- write evaluated rows as JSONL.-G, --dumpFeatures- feature snapshot for dumped rows:none,gateFeatures, orbaseContext.-Q, --symbolQuarantine- apply per-strategy/per-symbol quarantine overlay to approved rows.
AI Pocket Search
ai-pocket-search searches deterministic gate feature pockets over AI exports.
Dataset selection:
-o, --outDir,-s, --strategy,-f, --file-n, --recent,-k, --skip-S, --since,-u, --until,-P, --period
Gate and search shape:
-M, --minQuality-q, --qualityThresholds-g, --scope-all,approved,rejected, orcandidates.-d, --maxDepth-m, --minSupport-F, --minProfitFactor-W, --minWinRate-R, --minTotalProfit-a, --maxAtomicPredicates-C, --maxCombinations-V, --validationSplit-N, --minValidationSupport-D, --dedupeEquivalentSelections
Output and feature scope:
-t, --top-Y, --includeSymbol-E, --includeGateContext-p, --featureProfile-compactorall.-r, --reportDir-B, --reportFile-j, --json-O, --output
Doctor
doctor validates infrastructure assumptions before running workflows.
--require-ml- treat ML gRPC connectivity as required.--skip-ml- skip ML gRPC checks.