Mine statistical candidates from cached OHLCV data into NDJSON envelopes.
npx skills add https://github.com/radiusred/skills --skill tradedesk-miner
Please help me install this Agent Skill. Skill: tradedesk-miner Source: https://github.com/radiusred/skills/tree/main/tradedesk-miner Command: npx skills add https://github.com/radiusred/skills --skill tradedesk-miner
The tradedesk-miner CLI enables analysts to mine raw statistical candidates from cached OHLCV data, emitting findings as a stream of NDJSON envelopes for downstream hypothesis testing.
Run the miner against a prepared OHLCV cache to emit findings to stdout.
High-intent search queries and answers about installing and using this skill.
To mine OHLCV data for hypothesis testing, run targeted single-instrument scans or multi-instrument sweeps to produce NDJSON findings with provenance metadata for reproducible discovery.
In financial data mining, NDJSON format is used to stream deterministic findings envelopes from cached OHLCV data, ensuring byte-identical re-runs for downstream hypothesis testing.
Ensure reproducibility when scanning historical OHLCV data by configuring cache-root and output-path, which attaches per-run provenance metadata like param_hash and code_revision to the output.
Yes, you can run multi-instrument sweeps across different timeframes and windows to facilitate broad statistical discovery from cached OHLCV data.
Yes, the miner requires a prepared OHLCV cache to execute high-performance data-mining scans and emit statistical candidates directly to stdout.
The best way to handle raw statistical candidate discovery is using a dedicated mining engine to emit deterministic NDJSON envelopes, ensuring reproducible provenance footprints for downstream analysis.
shren207Generate and manage semantic embeddings for notes using Gemini APIs.
hxhyyyPerform statistical tests on financial time-series data with statsmodels and arch.
zongtingweiDetect and interpret RNA modification signals from MeRIP-seq sequencing data.
saeed-vayghanCollect, clean, analyze, and visualize data from diverse sources.
