Roadmap ​
Starting in Q2 of 2021, we will begin listing our upcoming goals on this roadmap page.
Q2 2021 ​
- ✅ Initial release of live trade plugin (early access)
- ✅ Release of our most profitable strategy to date
- ✅ Support for liquidation mechanisms in both backtesting and live trading
Q3 2021 ​
- ✅ Beta release of the GUI dashboard
- ✅ Full integration with the FTX Futures exchange
Q4 2021 ​
- ✅ Second beta release of the GUI dashboard
- ✅ Official release of the GUI dashboard
- ✅ Launch of our YouTube channel for publishing algo-trading tutorials
Q1 2022 ​
- ✅ Integration with Bybit Perpetuals exchange
- ✅ Support for persistence trading sessions in live trading
- ✅ Release of the "research" module, allowing Jesse to be used within custom Python scripts (including Jupyter notebooks)
- ✅ Additional tutorial screencasts
Q2 2022 ​
- ✅ Support for spot trading
- ✅ Integration with spot exchanges such as Binance, FTX, Bybit, and the US versions of FTX and Binance
Q3 2022 ​
- ✅ Additional tutorial screencasts on YouTube
- ✅ Improvements and new methods added to the strategy API in preparation for the stable
1.0
version release - ✅ New method for handling candles by fetching them directly from the exchange for all timeframes
- ✅ Further bug fixes to improve Jesse's stability and reliability
Q4 2022 ​
- ✅ Release of live trading driver for Bitget
- ✅ Introduction of the "free" plan for live trading
- ✅ Launch of the affiliate program
Q2 2023 ​
- ✅ DEX support for DYDX
- ✅ Additional properties added to the strategy API
- ✅ Bug fixes and improvements based on community feedback
Q4 2023 ​
- ✅ Support for Python
3.10
and3.11
- ✅ Add support for Bybit unified accounts
- ✅ Upgrade to Bybit version 5 API
- ✅ Launch of the new documentation website
- Introduction of the new strategy index page featuring a variety of strategies with automated, up-to-date metrics
Beyond ​
- Future exchange drivers: Kraken, Coinbase, Kucoin, OKX, etc.
- Integration with fast DEX platforms like PancakeSwap, 1inch, etc.
- Integration of reinforcement learning
- Additional backtest evaluation tools such as Monte Carlo simulations
- More features depending on community demand
- A few exciting surprises to be announced later on