Good morning! After our beta release a few weeks ago, Blankly Slate has been up and running for early users. If you haven’t given it a shot yet, head to app.blankly.finance and easily deploy your own trading model in just a few steps. Of course, if you have any questions or feedback, send us a message over at hello@blankly.finance.
Enjoy!
The Blankly Team
UPDATES
We launched Blankly Package onto Product Hunt! As we continue to grow our userbase for the package, we want to provide the best experience for anyone to get started right away with building, testing, and deploying trading algorithms. Feel free to upvote! Special shoutout to @whrobbins for hunting us, and check out our release video below. Stay tuned as we’ll soon launch a Product Hunt post on Blankly Slate as well!
Blankly Package v1.16.0-beta is also out! A few of the updates included:
Add valid FTX resolutions
Format to using new db format in model creation workflow
Add better KuCoin & FTX examples
Add keyless exchanges for custom datasets during backtesting
Read more about the release here.
If you have any issues or encounter any bugs, don’t hesitate to open a new issue, and we’ll get to it as soon as possible. For other concerns and questions, feel free to ask in our Discord, where there’ll be many other members of the community that are happy to help.
Give us a follow on our new TikTok as well! While we continue to release blog posts and YouTube videos, there’ll also be a new suite of content packed into a short, helpful TikToks.
Find us here: https://www.tiktok.com/@blanklyfinance
Finally, this past week, our amazing developer advocate Aditya led a demonstration in our Discord on using the Blankly Package to build a basic neural network trading model and deploy it to the platform, Slate. Several members of our community tuned in to listen, and was very well received. If you missed it, no worries—follow along in the blog post below! We’ll also upload a recording of the session onto YouTube in the upcoming week.
Build a Neural Network for Trading
RESOURCES
As the market for algotrading grows and developers gain experience, it will become more and more difficult to achieve the same level of returns. As institutional investors and big brokerage houses compete innovate in the space and maintain the same levels of alpha, here are a few notable trends to be aware of.
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