OPRA is extending its trading hours! Effective July 13, 2026, OPRA will support trading from 7:30 a.m. to 5:00 p.m. ET for select symbols, including AAPL, AMD, AMZN, AVGO, BABA, BAC, GOOG, GOOGL, HOOD, INTC, META, MSFT, MU, NFLX, NOK, NVDA, ORCL, PFE, PLTR, TSLA, and TSM.

We’re excited to announce the launch of the Theta Data Staging Environment. The staging environment provides a separate connection to Theta Data, independent from your main production connection. Learn more here: docs.thetadata.us/Articles/D… #Options #Quant #AlgoTrading #MarketData

We have launched the interest rates API in V3! Take a look at what it involves! thetadata.net/blog/2026-05-2… #Options #Quant #AlgoTrading #MarketData

We doubled the current-day history processing capacity to help reduce latency across current-day requests. We also lowered latency for 1-minute Options intervals for 2018, 2019, and 2024. Faster access to the data that matters. #Options #Quant #AlgoTrading #MarketData

Theta Data had a great experience @BattleFin. The event was exceptionally well executed, bringing together Hedge Funds, Asset Managers, Quants, and FinTechs for focused conversations around Market Data. A few takeaways: 1) Unfiltered data for low-to-medium frequency traders continues to resonate strongly with our customers. 2) Theta Data's tooling allows for easy manipulation/segmentation of 80 trillion rows of data, enabling our customers to find what they need quickly We look forward to attending next year! #Options #Quant #AlgoTrading #MarketData

We’re excited to attend @BattleFin Discovery Day at the Intrepid Museum in New York on May 14, 2026. BattleFin brings together leaders across finance, Alternative Data, and AI, making it the perfect place to showcase how Theta Data is powering the next generation of market intelligence. If you’re attending, meet the team and see what we’re building. #Options #MarketData #AlternativeData #AI #Quants

For years, accessing Theta Data meant running a local Terminal, powerful but slow to set up. Today, we’re changing that. Introducing the Theta Data Python Library: no Terminal, no friction. Install via pip and pull institutional-grade market data in minutes. #options #quant

Next week, our CEO Bailey Danseglio will be attending the Options Industry Conference. If you’ll be there, we’d love to connect and talk about how Theta Data is helping firms unlock faster, more reliable options data solutions. #OptionsIndustryConference #OIC2026 #OptionsTrading

Theta Data has a busy spring Conference schedule...reach out if you want to connect!

Great year at Theta Data! Thanks to all our fantastic customers and committed employees!

I got a list of actively traded symbols from @theta_data. It came out to 11,024 symbols. I then downloaded the entire history of 1D candles using Python yfinance for each of these symbols. It took 43 minutes. The pandas dataframes are saved to pkl files. I ended up with 10,040 pkl files. Total disk space used: 1.8GB. The Python code is, as expected, straightforward. Less than 50 lines. I'm using my yfinance_download library to store the candle data to disk: github.com/dharmatech/yfinan…

Visualizing all $HPQ options trades over the last 30 days. Lot's of outlier premium today. App written in @streamlit Data provided by @theta_data

Our indices API is here 🚀 • Low latency real-time snapshots • 2 years of historical 1-second data. thetadata.net/post/theta-dat…

Thetadata - Low latency US equities & options data for Quant Research & Algorithmic Trading - Historical Options Data - Complex Greeks - Low latency Get it here👇 github.com/ThetaData-API/the…

Last chance to get $100 off of our Pro plan and $50 off of our Standard plan. It will be the best discount we offer this year. Use code: CM100 and CM50. Offer ends at 23:59 ET tonight. thetadata.net/subscribe

Theta terminal 1.0 Release Notes thetadata.net/post/theta-ter…

The equity options market generates 3 terabytes of data every day. And to stream it you need expensive broker feeds. ThetaData changes that. Here's how:

The NUMBER 1 issue for options traders: Data. I spent $1,125 on historic data for 1 symbol. I wasted months scraping the CBOE website. I lost money using 20-minute delayed data from Yahoo. Finally: Dirt-cheap, dead-simple, real-time, streaming options data:

PyQuant News has teamed up with @theta_data to provide discounts on real-time streaming options data. Here's what students are doing: Join 700 finance professionals getting started with Python.