how to actually win in crypto with ai trading bots
Short Summary:
This YouTube video demonstrates the creator's daily process of using AI and coding to build and refine cryptocurrency trading bots. The key technologies discussed include Python, Pandas, Solana, and the Bird Eye API for wallet analysis. The creator showcases his iterative development process, analyzing bot transactions, identifying areas for improvement, and demonstrating code modifications in real-time. The applications involve algorithmic trading on the Solana blockchain, aiming to profit from market trends by copying successful traders. The implications highlight the potential for increased efficiency and profitability in crypto trading through AI-powered automation, but also emphasize the risks involved and the need for discipline. The creator details his process of analyzing transaction data, refining bot logic, and managing risk.
Detailed Summary:
The video can be broken down into several sections:
Section 1: Introduction and Testimonials (0:00-0:45): The creator introduces the video's topic: using AI trading bots to win in crypto. He emphasizes his self-taught nature and showcases testimonials from others who have succeeded using his methods. He promotes his paid roadmap and resources at mv.com.
Section 2: Solana Bot Analysis (0:45-2:30): The creator reviews his Solana trading bot's recent transactions. He identifies issues like running out of SOL (Solana's cryptocurrency) and analyzes individual trades, noting buys, sells, and errors. He emphasizes the iterative nature of bot development ("every day it's an iterative process, got to step on the gas dude").
Section 3: Code Optimization and Discipline (2:30-5:00): The creator focuses on improving his bot's code. He explains his process of removing duplicate wallet addresses from a CSV file using Python and Pandas. He stresses the importance of discipline ("you give up under the slightest struggle...discipline is doing what you hate to do but do it like you love it"). He splits a large CSV file into smaller ones for parallel processing.
Section 4: Bot Execution and Monitoring (5:00-6:30): The creator runs his improved bot, emphasizing the importance of monitoring its performance. He explains his strategy of aiming for 100 credits a day as a key performance indicator (KPI). He briefly discusses the challenges of managing private keys securely.
Section 5: Clickfunnels Integration Idea and AI Assistance (6:30-8:30): The creator discusses building a tool to display trading data on his Clickfunnels website using a JavaScript plugin. He uses AI to outline the steps involved, including creating a server to serve data and a JavaScript widget for integration. He ultimately decides against this project for now, prioritizing other tasks.
Section 6: Top 10 Token Analysis Tool (8:30-12:00): The creator builds a Python tool to analyze the top 10 tokens held by a list of followed traders using the Bird Eye API. He uses AI to assist with code generation and debugging. He highlights the speed of development enabled by AI ("I build tools in two seconds"). He discusses the importance of speed in trading.
Section 7: Free ChatGPT Giveaway (12:00-14:30): The creator announces a giveaway of free ChatGPT subscriptions to active and helpful community members. He explains the criteria for selection and emphasizes his desire to support those who can't afford the subscription. He highlights his belief in code as a great equalizer.
Section 8: Trading View Indicator and Custom Charting System Discussion (14:30-17:00): A viewer asks about creating a custom TradingView indicator. The creator explains the process, highlighting the limitations of Pine Script and the need for a separate server-side component to process data. He then discusses the idea of building a custom crypto charting system, but simplifies it to a JavaScript plugin for Clickfunnels, focusing only on Bitcoin and liquidation data.
Section 9: Analyzing Top Traders' Holdings and Conclusion (17:00-21:00): The creator analyzes the top 50 tokens held by the traders on his list, identifying potential opportunities and risks. He discusses the challenges of identifying rug pulls and dead projects. The video concludes with the creator reflecting on his process and emphasizing the importance of discipline and continuous learning in algorithmic trading. He promotes his boot camp as an affordable way to learn his methods.