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:
https://t.co/jmipSZXf4k
#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
@Tech_Pleb@dharmatrade We don't rate limit our clients. Instead they have a certain amount of server-allocated threads towards processing their requests. https://t.co/0azttQEMV2
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:
https://t.co/vhS7Gl3YZW
Thetadata - Low latency US equities & options data for Quant Research & Algorithmic Trading
- Historical Options Data
- Complex Greeks
- Low latency
Get it here👇
https://t.co/VkQtdNqyht
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. https://t.co/0c7r5s9B9y
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:
Hey there, we provide millisecond exchange timestamps. Something unique about Theta Data is that we compress our data to 1/30th of its actual size. This allows us to deliver data much faster than competitors. Databento charges per GB of data consumed whereas we allow our clients to make as many requests as they can. We are much more economical. We also have every quote sent by exchanges. Most providers filter their NBBO, which means you're missing out on valuable information! Feel free to DM us if you're interested in a trial.