~$ tx deploy tradelet -l py3 -f myalgo.py# myalgo.py import tradologics as tx def tradehook(data): client = tx.tradelet() if data["close"] >= data["open"]: return client.submit_order( account="etrade-account-1", asset="AAPL:US", qty=100, side="buy" )
If you’re here, its probably because you’ve somehow heard about Tradologics and was intrigued.
Good instincts! 😉
On this page, you’ll find information about what Tradologics is and how it can change the way you currently approach programmatic trading.
Programmatic trading — a term that encompasses algorithmic, automated, rule-based, systematic, and quantitative trading — is taking over. The next generation of programmatic traders isn’t going to come from Wall Street or City of London, but rather from all over the world.
However, taking programmatic strategies past the research stage comes with serious challenges that make it nearly impossible for most participants to realize their goal.
While looking for a way to trade with multiple brokers, I realized that there’s no easy way to run a strategy on different brokers without re-writing most of the code.
Sure, there’s the FIX protocol - but it’s old (created in the 90s’), overly complicated, and very few retail and online brokers even support it.
The fact is that taking a strategy live requires skills that are entirely unrelated to trading.
Aside from generating trading signals, traders need to work with streaming market data, process large amounts of data in real-time, manage server infrastructure, parsing logs, etc.
Traders nowdays need to be transformed into a trading powerhouse with the skills of a Quant Researcher, a Quant Developer, a Programmer, DevOps Engineer, and a Database Administrator, to name a few. Even if someone were to hold all those skills, they would still need to deal with the fragmented nature of the industry and familiarize themself with each broker’s API implementation, SDKs, and software.
But what if there was a way for traders to focus only on the trading logic – without worrying about stuff like broker connectivity, data management, or infrastructure?
Tradologics is a Cloud platform that lets traders research, test, deploy, monitor, and scale their programmatic trading strategies. It’s the fastest way to go from idea to live-trading, bypassing all those infrastructure headaches.
Tradologics’ goal is to become a disruptor in the trading landscape by being the first Cloud platform that’s tailored to the specific needs of programmatic traders.
Upon launch, we’ll offer a myriad of tools and services aimed to solve every part of the trader’s business cycle, allowing them to focus on the trading logic, while we take care of everything else.
I invite you to browse through this page to learn about the features and innovations that Tradologics offers and join the waitlist, so I can let you know as soon as you can signup for a Tradologics account.
Thank you for visiting and taking the time to read this 🙏
Use a single API to trade using 20+ Brokers, ECNs, and Crypto exchanges. Backtest, paper-trade, and live trade your strategies using a familiar RESTful API.
The standardized, universal API gives you the freedom to write your strategy in use any programming language and any trading framework.
Schedule strategy invocation, market data delivery,
and position monitoring, and have that data push to
your server using a webhook-style
Tradehooks can run every n minutes, on EOD, on (pre/post) market open/close – and allow you to focus on your strategy instead of worrying about data.
Serverless trading is here! Tradelets are encrypted, serverless trading functions where you can push your strategy’s code to, or edit using the online IDE.
Focus on important things like generating Alpha and working with clients – instead of spending precious time managing servers in the cloud.
Access historical and real-time market data for Stocks and ETFs from over 60 global exchanges – as well as Forex & Cryptocurrency from multiple exchanges.
You can access market data using the API, or have a Tradehook push relevant data to your backtests, paper, or live-trading Tradelet or server at specific intervals.
A private research instance can be spun up with the amount of CPU/RAM/GPU you need and comes pre-loaded with a multi-kernel Jupyter server and VS Code.
Work from anywhere via the browser with fast backtests and market data access by having your R&D machine located on one of our datacenters.
Enhance your strategy's performance while reducing the amount of code you need to write using "plug-and-play", pre-defined logic blocks.
Blocks can be pipelines, screeners, indicators, and custom code that saves you from writing code that isn't part of your "secret sauce".
Want to take a look at your orders and positions, or enter a quick, out-of-strategy trade? Head over to our simple, unified, web-based trading terminal.
Seeing your balances, positions, and trades across all brokers, as well as an aggregated portfolio, makes it easy to know how you’re doing at any given time.
Every single one of your strategies has a real-time performance Tearsheet, as well as a market/sector exposure and risk analysis report.
You’ll also be able to get a bird’s eye view on your portfolio of strategies as a whole via an aggregated Tearsheet, a correlation matrix report, and more.
We take security very seriously! Your API credentials and Tradelets are encrypted using a unique 4096-bit private key.
We also enforce multi-factor authentication, and use a secure "magic link" for every login – all to prevent unauthorized access to your account.
Plus paper trading, backtesting, command-line tool, wrapper libraries, schedulers, rebalancing functions, and more...
Our suite of services and intuitive cloud console makes it simple to research, test, and trade in the Cloud using a secured and robust infrastructure.
Tradologics lets you do you. We don't force you to use a specific programming language, a trading framework, or even a broker.
Want to trade with Interactive Brokers? No problem. E*Trade? Absolutely! How about Coinbase, BitMEX, FXCM, or Robinhood? Yes, Yes, Yes, and Yes! We support over 20 brokers, ECNs, and Crypto exchanges, with more being added all the time.
The same goes for trading tools and frameworks. Use Zipline, CCXT, GO-Trader, or code your own, or use our dead-simple SDKs and libraries and be up and running in 5 minutes – that is if you have a strategy idea already 😁
Using something that’s not listed here?
Deploy your own Docker image to use any language, framework, or tool.
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