The Obelisk Ichimoku ZEMA strategy combines four key elements for identifying potential trading opportunities: The strategy appears to analyze two timeframes: Trend Identification: Entry and Exit Signals: Additional Filters (Potential): Github Link for the “Obelisk_Ichimoku_ZEMA_v1” strategy
Unveiling the Obelisk Ichimoku ZEMA Strategy with Backtesting and Hyperoptimization Read More »
The world of algorithmic trading thrives on strategies like the MacheteV8b, designed to capitalize on price movements aligned with the prevailing trend. This guide equips you with a solid understanding of the MacheteV8b. 1. Unveiling the MacheteV8b Strategy Core Concept: The MacheteV8b flourishes in trending markets, aiming to capture profits by riding the momentum of
Unveiling the MacheteV8b: A Trend-Following Powerhouse Freqtrade Strategy Read More »
Key Components: Strategy Logic: Here are the code examples for backtesting and hyperoptimizing the VolatilitySystem strategy, as well as important considerations: Data Downloading: Bash Backtesting: Bash Hyperoptimization: Bash Key Points: Additional Considerations: Remember: Github Source Code
Building an AI-Powered Trading Bot on AWS Ubuntu Server: A Step-by-Step Guide Introduction In this tutorial, we will guide you through the process of “How to setup freqtrade AI crypto trading bot” on an Ubuntu virtual server hosted on AWS, you can even setup on your localhost also. From securing your server to configuring the
1. Data Downloading Example 1: Downloading Historical Data from config.json file Example 2: Downloading Data for number of days with 4h Timeframe 2. Backtesting Example 1: Backtesting a Strategy with Default Configuration Example 2: Backtesting with Custom Configuration 3. Hyperparameter Optimization Example 1: Hyperparameter Optimization with default file Example 2: Hyperparameter Optimization with custome config
Data downloading , backtesting and hyperopt with Freqtrade Read More »
Let’s break down the provided config.json file with explanations for each parameter:
Introduction Setting up and managing Freqtrade configurations within Docker Compose can greatly enhance your automated trading experience. In this guide, we’ll cover creating a new configuration file, using it at startup, exploring configuration options, employing multiple configuration files, and understanding different configuration sections. 1. Creating a New Configuration File 1.1. An initial config file was
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Algorithmic trading is evolving, and Freqtrade provides a robust framework for implementing automated strategies. To simplify deployment and management, Docker Compose comes into play. In this guide, we’ll comprehensively explore the Freqtrade Docker Compose file, breaking down each component, and provide command line examples to enhance your algorithmic trading experience. Prerequisites: Ensure Docker and Docker
Docker Compose Comprehensive Guide to Freqtrade : Elevate Your Algorithmic Trading Read More »
What is Freqtrade? Freqtrade is an open-source cryptocurrency trading bot that utilizes advanced algorithms and strategies to automate your trading activities. Whether you’re a seasoned trader or just starting, Freqtrade provides a user-friendly platform to enhance your trading experience. Key Features: Getting Started: 1.Docker Desktop installation https://docs.docker.com/desktop/install/mac-install/ (Docker Desktop includes Docker Compose along with Docker