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Short Interest Historical Data for Backtesting: TSLA and NVDA

Download short interest historical data for TSLA and NVDA across a chosen date range, with a knowable date on every row so your backtest never uses figures before they were public. Quant researchers can join the series to price data without look-ahead bias. Change the tickers and settlement dates to pull years of FINRA history back to 2017.

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US Short Interest Scraper: NYSE, Nasdaq and OTC via FINRA Data
US Short Interest Scraper: NYSE, Nasdaq and OTC via FINRA Datagetascraper/short-interest-scraper
Ticker
Settlement date
Knowable date (use for joins)
Short interest
+3 fields
Text
Number
Boolean
List
Object

Input

Ticker symbols:TSLA+1
Latest settlement period only:false
Settlement date from:2025-01-01
Settlement date to:2025-03-31
Max rows:12

Output fields

Ticker
Settlement date
Knowable date (use for joins)
Short interest
Days to cover
Revised
Split

How it works

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The US Short Interest Scraper: NYSE, Nasdaq and OTC via FINRA Data Actor is ready to run with the inputs already set for "Short Interest Historical Data for Backtesting: TSLA and NVDA". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Short Interest Historical Data for Backtesting: TSLA and NVDA" task

The US Short Interest Scraper: NYSE, Nasdaq and OTC via FINRA Data Actor will start running based on the input automatically. You can also change all the input fields, like ticker symbols, latest settlement period only, and more, to match your specific use case.

Receive the "Short Interest Historical Data for Backtesting: TSLA and NVDA" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ticker, settlement date, knowable date (use for joins), and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Short Interest Historical Data for Backtesting: TSLA and NVDA" task via API.

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