Metadata-Version: 2.2
Name: jesse
Version: 1.13.3
Summary: A trading framework for cryptocurrencies
Home-page: https://jesse.trade
Author: Saleh Mir
Author-email: saleh@jesse.trade
Project-URL: Documentation, https://docs.jesse.trade
Project-URL: Say Thanks!, https://jesse.trade/discord
Project-URL: Source, https://github.com/jesse-ai/jesse
Project-URL: Tracker, https://github.com/jesse-ai/jesse/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
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License-File: LICENSE
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Dynamic: author
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<div align="center">
<br>
<p align="center">
<img src="assets/jesse-logo.png" alt="Jesse" height="72" />
</p>

<p align="center">
Algo-trading was 😵‍💫, we made it 🤩
</p>
</div>

# Jesse
[![PyPI](https://img.shields.io/pypi/v/jesse)](https://pypi.org/project/jesse)
[![Downloads](https://pepy.tech/badge/jesse)](https://pepy.tech/project/jesse)
[![Docker Pulls](https://img.shields.io/docker/pulls/salehmir/jesse)](https://hub.docker.com/r/salehmir/jesse)
[![GitHub](https://img.shields.io/github/license/jesse-ai/jesse)](https://github.com/jesse-ai/jesse)
[![coverage](https://codecov.io/gh/jesse-ai/jesse/graph/badge.svg)](https://codecov.io/gh/jesse-ai/jesse)

---

Jesse is an advanced crypto trading framework that aims to **simplify** **researching** and defining **YOUR OWN trading strategies** for backtesting, optimizing, and live trading.

## What is Jesse?
Watch this video to get a quick overview of Jesse:

[![Jesse Overview](https://img.youtube.com/vi/0EqN3OOqeJM/0.jpg)](https://www.youtube.com/watch?v=0EqN3OOqeJM)

## Why 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**. 

## Key Features

- 📝 **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.

## Dive Deeper into Jesse's Capabilities

### Stupid Simple
Craft complex trading strategies with remarkably simple Python. Access 300+ indicators, multi-symbol/timeframe support, spot/futures trading, partial fills, and risk management tools. Focus on logic, not boilerplate.

```python
class GoldenCross(Strategy):
    def should_long(self):
        # go long when the EMA 8 is above the EMA 21
        short_ema = ta.ema(self.candles, 8)
        long_ema = ta.ema(self.candles, 21)
        return short_ema > long_ema

    def go_long(self):
        entry_price = self.price - 10        # limit buy order at $10 below the current price
        qty = utils.size_to_qty(self.balance*0.05, entry_price) # spend only 5% of my total capital
        self.buy = qty, entry_price                 # submit entry order
        self.take_profit = qty, entry_price*1.2  # take profit at 20% above the entry price
        self.stop_loss = qty, entry_price*0.9   # stop loss at 10% below the entry price
```

### Backtest
Execute highly accurate and fast backtests without look-ahead bias. Utilize debugging logs, interactive charts with indicator support, and detailed performance metrics to validate your strategies thoroughly.

![Backtest](https://raw.githubusercontent.com/jesse-ai/storage/refs/heads/master/backtest.gif)

### Live/Paper Trading
Deploy strategies live with robust monitoring tools. Supports paper trading, multiple accounts, real-time logs & notifications (Telegram, Slack, Discord), interactive charts, spot/futures, DEX, and a built-in code editor.

![Live/Paper Trading](https://raw.githubusercontent.com/jesse-ai/storage/refs/heads/master/live.gif)

### Benchmark
Accelerate research using the benchmark feature. Run batch backtests, compare across timeframes, symbols, and strategies. Filter and sort results by key performance metrics for efficient analysis.

![Benchmark](https://raw.githubusercontent.com/jesse-ai/storage/refs/heads/master/benchmark.gif)

### AI
Leverage our AI assistant even with limited Python knowledge. Get help writing and improving strategies, implementing ideas, debugging, optimizing, and understanding code. Your personal AI quant.

![AI](https://raw.githubusercontent.com/jesse-ai/storage/refs/heads/master/gpt.gif)

### Optimize Your Strategies
Unsure about optimal parameters? Let the optimization mode decide using simple syntax. Fine-tune any strategy parameter with the Optuna library and easy cross-validation.

```python
@property
def slow_sma(self):
    return ta.sma(self.candles, self.hp['slow_sma_period'])

@property
def fast_sma(self):
    return ta.sma(self.candles, self.hp['fast_sma_period'])

def hyperparameters(self):
    return [
        {'name': 'slow_sma_period', 'type': int, 'min': 150, 'max': 210, 'default': 200},
        {'name': 'fast_sma_period', 'type': int, 'min': 20, 'max': 100, 'default': 50},
    ]
```

## Getting Started
Head over to the "getting started" section of the [documentation](https://docs.jesse.trade/docs/getting-started). The 
documentation is **short yet very informative**. 

## Resources

- [⚡️ Website](https://jesse.trade)
- [🎓 Documentation](https://docs.jesse.trade)
- [🎥 Youtube channel (screencast tutorials)](https://jesse.trade/youtube)
- [🛟 Help center](https://jesse.trade/help)
- [💬 Discord community](https://jesse.trade/discord)
- [🤖 JesseGPT](https://jesse.trade/gpt) (Requires a free account)

## What's next?

You can see the project's **[roadmap here](https://docs.jesse.trade/docs/roadmap.html)**. **Subscribe** to our mailing list at [jesse.trade](https://jesse.trade) to get the good stuff as soon they're released. Don't worry, We won't send you spam—Pinky promise.

## Disclaimer
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**.
