Theta Data

A technology driven market data provider. Up to 10 years of historical data for US options, indices, & equities. Discord:

[Theta Data @theta_data]

We’re pleased to announce Theta Data for Excel has been updated for Terminal v3, bringing the familiar Excel experience from v2 to the latest Theta Data architecture

The v3 update maintains the familiar Excel workflow while adding support for the latest Terminal v3 functionality and Excel integration.

[Theta Data @theta_data]

Theta Data will be attending the Cornell Future of Finance & AI conference on September 11 in NYC. If you're attending please stop by and, if not, and you want to talk Market Data...please reach out!

[Theta Data @theta_data]

OPRA has revised the implementation date for extended trading hours again.

The new effective date is currently TBD.

Once implemented, OPRA will support trading from 7:30 a.m. to 5:00 p.m. ET for select symbols.

Affected symbols: AAPL, AMD, AMZN, AVGO, BABA, BAC, GOOG, GOOGL, HOOD, INTC, META, MSFT, MU, NFLX, NOK, NVDA, ORCL, PFE, PLTR, TSLA, and TSM.

We will share another update once OPRA confirms the revised date.

[Theta Data @theta_data]

We have released a new LLM Python Guide in our website's articles section.

Our new LLM Python Guide covers best practices for prompting LLMs to generate more accurate and reliable Python code, helping you spend less time debugging and more time working with the data.

[Theta Data @theta_data]

Flat files are now available!

We’ve added flat-file support to Terminal V3 and the Python Library, enabling our Pro Users to download full-universe datasets for the last 7 days directly.

With a REST endpoint, the flat files deliver the entire available universe in a single download. We also included our Python library.

Please get in touch with our sales team if you need deeper history requests.

[Theta Data @theta_data]

API keys are now available on the Theta Data website!

Generate keys directly from your user portal for a cleaner, more flexible way to authenticate across supported tools, including Theta Terminal and the Python Library.

You can still authenticate with your account email and password if you prefer.

View the updated authentication docs here:
https://t.co/zjBYSdKUPq
https://t.co/CUgkme8dZX

[Theta Data @theta_data]

OPRA has revised the implementation date for its extended trading hours!

Previously announced for July 13, 2026, OPRA will now begin supporting trading from 7:30 a.m. to 5:00 p.m. ET for select symbols on August 17, 2026.

Affected symbols include AAPL, AMD, AMZN, AVGO, BABA, BAC, GOOG, GOOGL, HOOD, INTC, META, MSFT, MU, NFLX, NOK, NVDA, ORCL, PFE, PLTR, TSLA, and TSM.

[Theta Data @theta_data]

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.

[Theta Data @theta_data]

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

[Theta Data @theta_data]

We have launched the interest rates API in V3!

Take a look at what it involves!
https://t.co/E1ON4lXD3I
#Options #Quant #AlgoTrading #MarketData

[Theta Data @theta_data]

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 @theta_data]

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

[Theta Data @theta_data]

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

[Theta Data @theta_data]

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

[Theta Data @theta_data]

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 @theta_data]

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

[Theta Data @theta_data]

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

[Theta Data @theta_data]

@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

[dharmafi @dharmatrade]

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

[dharmafi @dharmatrade]

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