base on An advanced crypto trading bot written in Python <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 [](https://pypi.org/project/jesse) [](https://pepy.tech/project/jesse) [](https://hub.docker.com/r/salehmir/jesse) [](https://github.com/jesse-ai/jesse) [](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: [](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.  ### 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.  ### 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.  ### 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.  ### 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**. ", Assign "at most 3 tags" to the expected json: {"id":"12139","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"