#Sibyl
🔗 GitHub: https://github.com/nMaroulis/sibyl

Abstract

Sibyl is an application which acts as a centralized hub for all things crypto. With Sibyl, the user can connect multiple crypto exchange accounts, deploy smart trading strategies, and access a wide range of AI-powered tools—all within a secure, locally deployed environment.

Features

Interactive Dashboard UI

The intuitive dashboard provides a comprehensive view of your crypto activities. Manage your trading strategies, analyze market trends, and keep an eye on the latest news—all in one place.

AI-Driven Smart Trading Strategies - Oracle Module 🔮

Sibyl allows you to deploy intelligent trading strategies using advanced AI models. Leverage custom TensorFlow Bi-Directional LSTMs, Gated Transformer Units (GTUs), and ARIMA models to make informed trading decisions. With these advanced models, you can optimize your trading for maximum returns.

Data Analysis & Visualization - Analyst Module 📈

Track your profits and losses with detailed tables and plots, allowing you to measure the success of each trading order.

Sibyl offers powerful data analysis and visualization tools to support your trading decisions:

• Correlation Analysis
• SHAP Feature Importance
• Regression Analysis

Visualize the data with custom plots and tables for clear insights.

NLP Models - Reporter Module 🕵🏻‍

Stay informed with the Natural Language Processing (NLP) tools:

• Web scraping for the latest crypto news
• Text summarization for quick news highlights
• Sentiment analysis using advanced language models to gauge market mood

SPOT Trading - Broker Module 💰

Create and place a SPOT order through the sibyl UI. This order will be first sent as a test order, and if it is validated it will be placed on your Exchange API.
The Spot order is then saved in the TradingHistory DB, to retrieve its status and get analytics.

Customized Strategy Planning - Broker Module 🎯

Develop and deploy your own trading strategies, including:

• Parametrized trading based on AI-driven models
• Scalping (Greedy), Dollar-Cost Averaging (DCA), Arbitrage and more...
• Use an LLM agent to propose the best hyper parameters for a selected strategy

Connect with Popular Exchanges - Technician Module 🛠️

Sibyl supports API connections with major crypto exchanges. Currently supported:

• Binance.com
• Binance Testnet

Additional exchanges are planned for future releases.

• Coinbase
• Uniswap
• Kraken

Evaluate Stock - Stock Analysis Module 📊

Choose a Company from a list of available company stocks and:

• Get Company's Information
• Analysis if a stock is worth buying or not based on various indicators
• Get insights about U.S. senators' stock portfolios
• Future Release: Rating based on custom ML model

Crypto Wiki Chatbot - Wiki Module 💬

An interactive chatbot which is based on a custom RAG system, which includes thousands of crypto-related publications, books and articles.
After you ask a crypto-related question, the embeddings for your query are created and the most similar embeddings are found in the chromaDB Embeddings Database.
The similarity method is a hybrid approach, using cosine similarity, BM25 keyword search matching and FAISS indexing similarity.

In order to use this functionality, you have to:

1. Provide a valid HuggingFace or OpenAI API key, to be stored in the local encrypted Database.
2. Download the chromaDB Embeddings Database, which is not by default provided in the implementation. The download is available through the UI, or adding manually the following file https://drive.google.com/file/d/15Vrxs6sbPnlZZURGr5DopZHlcwEtvaou/view?usp=share_link in the database/wiki_rag directory.

Security & Local Deployment

Sibyl is designed for local deployment, ensuring your data stays secure. You have complete control over your trading activities and account connections. No sensitive information is stored on external servers, giving you peace of mind.

Local Databases

API Key Storage

All API keys are stored locally on an encrypted SQlite Database, with a unique encryption key generated on your local file system. This Database uses SQLAlchemy for ORM. You may find the database and the encryption key at /database

All trades made through Sibyl strategies are stored in a local SQlite DB without keeping any personal information.

Deployment

1. Virtual Environment - Recommended for Apple silicon and ARM systems, so Pypi takes care of arm64 libraries.

Install Python 3.12 on your system:

# macOS
$ brew install python@3.12 
# Linux (apt)
$ sudo apt install python==3.12

$ cd sibyl

$ python3.12 -m venv sibyl
$ source sibyl/bin/activate
$ pip install -r requirements.txt # poetry config file is also available

$ python3.12 main.py

2. Dockerfile - Recommended for x86 systems.

$ docker build -t sibyl_image .
$ docker run -p 8501:8501 -p 8000:8000 -p 50051:50051 sibyl_image

Access the frontend from your browser at http://localhost:8501

Roadmap

The development roadmap includes exciting new features:

• A Reinforcement Learning Agent that automatically places buy/sell orders based on optimized strategies and timing.

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