synthBTC

Bitcoin Price Prediction Simulator Using Synthetic Data

An advanced Bitcoin price prediction tool that utilizes Monte Carlo simulations and Turbit parallel processing to create millions of potential price scenarios. synthBTC offers real-time market insights and synthetic data generation for comprehensive Bitcoin trend analysis and risk assessment.

This is a tool for synthesizing Bitcoin data and generating synthetic data for testing and training purposes.

Design Philosophy: My primary goal with synthBTC has always been to make complex data easy to understand. I'm passionate about pure CSS and have focused my expertise on creating an intuitive, user-friendly interface. The UI includes subtle micro-interactions that I believe will delight fellow interface design enthusiasts. I've poured my love for clean, efficient design into every aspect of synthBTC to ensure that interpreting Bitcoin price predictions and simulation data is as straightforward as possible.

Key Features

synthBTC excels in providing comprehensive Bitcoin price analysis and prediction:

Feature	Description
Monte Carlo Simulations	Generate thousands or millions of potential price scenarios
Real-time Data Integration	Fetch and incorporate live Bitcoin market data
Parallel Processing	Utilize Turbit for high-speed multicore computations
Customizable Parameters	Adjust volatility, time frames, and simulation counts
UI & Data Visualization	Intuitive web-based dashboard for visualizing predictions
API Integration	API for programmatic access to simulation results
Synthetic Data Generation	Create realistic Bitcoin price datasets for testing and training

Installation

To use synthBTC, ensure you have Node.js installed. Then, clone the repository and install dependencies:

git clone https://github.com/jofpin/synthBTC.git
cd synthBTC
npm install

Usage

Run synthBTC with the following command:

node synthBTC.js

This command initializes the simulation engine, starts the web server, and makes the API available.

Access the intuitive dashboard by opening a web browser and navigating to:

http://localhost:1337

The dashboard offers:

Real-time visualization of Bitcoin price predictions
Historical data charts
Customizable simulation parameters

Use the API endpoints:
- GET /api/overview: Retrieve the most recent simulation data and key statistics
- GET /api/simulations: Fetch a list of all historical simulation records
- GET /api/simulations/:id: Get a specific simulation record by its unique identifier
- GET /api/simulations/:ids: Retrieve multiple simulation records by their IDs (comma-separated)

Configuration

The config.json file contains the configuration for the simulation and web server setup.

simulationConfig

turbitPower: The number of cores to be used for simulations.
totalSimulations: The number of simulations to be performed.
volatilityPercentage: 20% volatility based on an average obtained from the bitcoinAnalysis.js file located in the research-script directory.
simulationDays: The number of days to simulate.
simulationInterval: How often (in minutes) a simulation is generated.

webConfig

serverPort: The port to be used for the server.
homeEndpoint: The route to be used for the main page.
htmlFilePath: The name of the file to be used for the main page.

Architecture

synthBTC utilizes a modular architecture leveraging Turbit for parallel processing:

Data Fetching: Real-time Bitcoin price data is retrieved using the PriceFetcher module.
Monte Carlo Engine: The MonteCarloEngine generates price scenarios using parallel processing.
CSV Handling: The CSVHandler manages data input/output in CSV format.
Server Core: The ServerCore module orchestrates the entire simulation process.

Synthetic Data Generation

synthBTC can generate synthetic Bitcoin price data for various purposes:

Training machine learning models
Testing trading algorithms
Simulating market conditions

The generated data is saved in the private/data path, where the core.csv file contains the simulation overviews for each generated csv file.

Research Script

The research-script directory contains the Bitcoin Analysis Script (bitcoinAnalysis.js). This script, developed prior to synthBTC, is the first of its kind to perform a comprehensive analysis of multiple Bitcoin factors in a single tool. It serves as a crucial component for synthBTC development and ongoing refinement, offering valuable insights into Bitcoin behavior and market trends.

The script comprehensive analysis and modular structure provide a solid foundation for developers to create derivative tools and further innovate in Bitcoin price and market analysis.

Explore the script and its documentation in the research-script directory.

Powered by Turbit

synthBTC is powered by Turbit, an advanced high-speed multicore computing library designed for the multi-core era. Turbit optimizes performance for computationally intensive operations by leveraging parallel processing across multiple CPU cores.

For more information on Turbit, the parallel processing library powering synthBTC, visit the repository.

License

The content of this project itself is licensed under the Creative Commons Attribution 3.0 license, and the underlying source code used to format and display that content is licensed under the MIT license.

halonaacloud/synthBTC