Finding good strategies to learn from, modify, or trade is no easy task. You have to filter through so many just to find a few good ones. My number one goal for Jesse as a whole echo system is to make all parts of trading easier for the community.
I am pleased to announce that today I published a new page on our website for hosting strategies.
Today I released 0.25.0 for the main framework and 0.0.8 of the live trade plugin.
Version `0.24.0` brings a few improvements and also introduces a number of new utility functions for researchers.
However, if you are an M1 Mac user, this release is a game-changer for you because it brings native support for M1 chips!
I am happy to announce that the version `0.24.0` release of Jesse brings native support for M1-based Macs.
In this tutorial, I will show you step by step, how to deploy your Jesse project from your local into a VPS for production.
Today I am proud to announce that the long-awaited live trade plugin is available for early access. Here's what's included:
Tomorrow I’ll be releasing the long-awaited live trade plugin for Jesse which is the last missing piece of the puzzle to turn Jesse into a complete trading bot. I decided to share with you the journey that I went through in the last three years.
I am pleased to announce that we have purchased a better domain name for Jesse.
Jesse's domain address is now Jesse.Trade instead of jesse-ai.com which sounds more convenient to the nature of the project. All addresses of the project on social media and the Github profile have been updated to reflect the change.
Often times you hear about the importance of setting a stop-loss before opening trades. Why is the exact stop-loss price so crucial?
The Internet is filled with people trying to sell you bots that they claim will make you thousands of dollars with a click of a button. Will they though?!
The point of this tutorial is to get you started with a few of Jesse's features that help you write most of the trend following strategies you'll find.
In this tutorial we are going to take a look at an example of how you can use multiple timeframes in your strategies. In the previous article we learned how to import candles, write a simple profitable strategy, how to define routes, and how to execute the backtest. If you haven't read my previous article, please do so before continuing.
In this tutorial, I'm going to write a strategy for trading bitcoin with Jesse. The point of this tutorial is to get you started on using Jesse so you can write your own strategies. I'll also teach you a few tricks that I've picked up over the years that help me write profitable strategies.
Today, I am proud to announce that Jesse is initially released. You no longer have to struggle for weeks just to back-test a trading strategy.
After working for more than two years, trying out two programming languages, countless modifications of the API design for defining strategies, writing hundreds of unit tests, writing countless strategies, sharing with a test team and receiving feedback, I can confidently say that Jesse is ready for the initial release to the public.