Alternative data datasets

P prashant017

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Z ZipLime

ZipLime US Insider Trading Disclosures (PIT) [!CAUTION] Use knowledge_date, not transaction_date, when backtesting. transaction_date says when a trade occurred; knowledge_date says when the filing became observable through EDGAR. Using the former as the signal date introduces look-ahead bias. visible = trades.filter(pl.col("knowledge_date") <= simulation_time) This dataset normalizes corporate-ins

D davideberweger

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I ilyaryabov

S&P500 companies Insider Trading with large wallets such as CEO, Director etc..

P pranshujayswal

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S sandorabad

Data from SEC form 4, USA equities, Insider Trades

T tuhinmallick02

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I ilyaryabov

Tesla insider trading with large wallets such as CEO, Director, Chief etc.

M mikhailmakeev

AlphaAI's near-real-time parse of SEC EDGAR Form 4 filings, providing 20,832 individual insider transaction tranches and 8,538 grouped economic events for US public-company officers, directors, and 10% owners.

M mikhailmakeev123

Parsed SEC EDGAR Form 4 insider trades, as tranches and scored events

R richard47

Cleaned US Stock market insider trades, 3M+ rows, ready for ML & analysis

S sauers

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W wetinkdata

Cleaned, quality-flagged insider transactions and buying clusters, Jan 2024