Algo-trading was 😵💫, we made it 🤩
Jesse is an advanced crypto trading framework that aims to simplify researching and defining YOUR OWN trading strategies for backtesting, optimizing, and live trading.
Watch this video to get a quick overview of Jesse:
In short, Jesse is more accurate than other solutions, and way more simple. In fact, it is so simple that in case you already know Python, you can get started today, in matter of minutes, instead of weeks and months.
- 📝 Simple Syntax: Define both simple and advanced trading strategies with the simplest syntax in the fastest time.
- 📊 Comprehensive Indicator Library: Access a complete library of technical indicators with easy-to-use syntax.
- 📈 Smart Ordering: Supports market, limit, and stop orders, automatically choosing the best one for you.
- ⏰ Multiple Timeframes and Symbols: Backtest and livetrade multiple timeframes and symbols simultaneously without look-ahead bias.
- 🔒 Self-Hosted and Privacy-First: Designed with your privacy in mind, fully self-hosted to ensure your trading strategies and data remain secure.
- 🛡️ Risk Management: Built-in helper functions for robust risk management.
- 📋 Metrics System: A comprehensive metrics system to evaluate your trading strategy's performance.
- 🔍 Debug Mode: Observe your strategy in action with a detailed debug mode.
- 🔧 Optimize Mode: Fine-tune your strategies using AI, without needing a technical background.
- 📈 Leveraged and Short-Selling: First-class support for leveraged trading and short-selling.
- 🔀 Partial Fills: Supports entering and exiting positions in multiple orders, allowing for greater flexibility.
- 🔔 Advanced Alerts: Create real-time alerts within your strategies for effective monitoring.
- 🤖 JesseGPT: Jesse has its own GPT, JesseGPT, that can help you write strategies, optimize them, debug them, and much more.
- 🔧 Built-in Code Editor: Write, edit, and debug your strategies with a built-in code editor.
- 📺 Youtube Channel: Jesse has a Youtube channel with screencast tutorials that go through example strategies step by step.
class SMACrossover(Strategy):
@property
def slow_sma(self):
return ta.sma(self.candles, 200)
@property
def fast_sma(self):
return ta.sma(self.candles, 50)
def should_long(self) -> bool:
# Fast SMA above Slow SMA
return self.fast_sma > self.slow_sma
def should_short(self) -> bool:
# Fast SMA below Slow SMA
return self.fast_sma < self.slow_sma
def go_long(self):
# Open long position and use entire balance to buy
qty = utils.size_to_qty(self.balance, self.price, fee_rate=self.fee_rate)
self.buy = qty, self.price
def go_short(self):
# Open short position and use entire balance to sell
qty = utils.size_to_qty(self.balance, self.price, fee_rate=self.fee_rate)
self.sell = qty, self.price
def update_position(self):
# If there exist long position, but the signal shows Death Cross, then close the position, and vice versa.
if self.is_long and self.fast_sma < self.slow_sma:
self.liquidate()
if self.is_short and self.fast_sma > self.slow_sma:
self.liquidate()Head over to the "getting started" section of the documentation. The documentation is short yet very informative.
- ⚡️ Website
- 🎓 Documentation
- 🎥 Youtube channel (screencast tutorials)
- 🛟 Help center
- 💬 Discord community
- 🤖 JesseGPT (Requires a free account)
You can see the project's roadmap here. Subscribe to our mailing list at jesse.trade to get the good stuff as soon they're released. Don't worry, We won't send you spam—Pinky promise.
This software is for educational purposes only. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS. Do not risk money that you are afraid to lose. There might be bugs in the code - this software DOES NOT come with ANY warranty.