Last-Second Buzzer Beater Bot on Polymarket (Claude Code Live Build)

The speaker, Mundev, introduces a private Zoom call where he demonstrates how he uses "Cloud Code" to build algorithmic trading systems. He emphasizes that coding is a "great equalizer" and shares his journey, inspired by Jim Simons, who amassed significant wealth through similar methods. Mundev highlights that even PhDs are behind the curve in adopting advanced AI coding tools like Cloud Code, often relying on basic autocomplete features in traditional IDEs like Visual Studio Code. He aims to bridge this gap by showing how to leverage Cloud Code for rapid development. Mundev showcases several projects, including a "last second buzzer beater bot" for Poly Market, a TradingView extension for backtesting Pinescript code, and updates to his Solana Trenches bot and Mundave app. He also mentions the "arena," where users predict BTC price on hourly and 5-minute charts, with daily winners. A significant portion of the discussion revolves around the practical application of Cloud Code in refining and building trading bots. Mundev details the process of fixing and improving his Poly Market bots, particularly focusing on an "auto redeem" feature. He encounters issues with displaying correct starting balances and P&L, realizing the need for a "positions value" column in his data to account for open positions. This leads to an iterative process of updating the bot's data handling and display. He also addresses user questions and support issues, including problems with API key access and refund requests for previous purchases. Mundev clarifies that the API key is now exclusively available through his "lifetime all access" package, emphasizing its value for algorithmic trading. He also mentions an Easter special for this package, offering significant discounts and bonuses like access to his courses, five years of bot data, and the API key forever. Mundev further discusses an adjustment to his "quant app," where instead of deducting points for missed "mini bar" prompts, it will now deduct minutes, making the penalty less discouraging and allowing users to accumulate points at their own pace while managing time constraints. A new Poly Market bot, the "5-minute buzzer beater," is introduced. This bot is designed to enter 5-minute BTC markets in the last 90 seconds, betting on the side that has already shown a strong bias (e.g., 70 cents or more). The bot will continuously update its bid to chase the favored side. Mundev plans to test this bot on multiple accounts. He also outlines the development of a customer service chat agent for mundave.com/join. This agent will leverage mundave.com/go and mundave.com/win as its knowledge base to answer user questions about his lifetime access package. The goal is to provide an interactive way for potential customers to understand the offer, with pre-populated questions and a "join" button. A key development is the creation of a Google Chrome plugin for TradingView. This plugin aims to automate the conversion of Pinescript indicator code into Python. Users would open TradingView, apply an indicator, and then use the plugin to extract its source code, send it to an AI (defaulting to MiniaX 2.7), and receive the Python equivalent. This allows traders to easily backtest strategies from TradingView indicators using Python. Mundev tests this plugin, encountering initial bugs related to detecting indicators and the conversion process itself, which he then prompts the AI to fix. During a live trading session with his 5-minute buzzer beater bot, Mundev experiences both wins and losses, highlighting the unpredictable nature of trading and the importance of continuous testing and iteration. He notes that the initial strategy for the buzzer beater bot, which involved betting on the favored side in the last 90 seconds, was not as successful as anticipated, leading him to consider building an "inverse" bot that bets against the favored side. Mundev shares a personal anecdote about a PhD friend who, despite being highly educated in coding, was only using autocomplete AI in Visual Studio Code. This realization underscores Mundev's belief that many, even experts, are unaware of or intimidated by advanced AI coding tools like Cloud Code. He then provides a step-by-step guide on how to install and set up Cloud Code, emphasizing its superiority over traditional methods and even other AI tools like ChatGPT or Cursor for rapid development and context switching across multiple projects. He acknowledges the cost associated with advanced Cloud Code plans but argues it's a worthwhile investment for speed and efficiency. He demonstrates how to use Cloud Code to recreate a "place order" function from a screenshot of his own bot's code, illustrating how users can leverage Cloud Code to build their own Poly Market bots using shared functions. This is presented as a way for beginners to quickly get started and adapt existing code to their ideas. Mundev also addresses issues with his "arena" platform, specifically concerning users not being able to download data correctly and not claiming their prizes. He clarifies that winners of the daily 5-minute competition receive one of his NFTs (valued at around $60), while weekly winners of the 1-hour competition receive a $1795 credit towards his lifetime access package. He encourages winners to claim their prizes and mentions that competition fosters greatness. Throughout the session, Mundev frequently interacts with his AI assistant to debug, refine, and build new features for his bots and platforms. He emphasizes an iterative approach, constantly testing ideas, accepting failures (L's), and learning from them. He views himself as a "data dog" constantly sifting through data and trying new strategies, understanding that "gold is in the trash." He concludes by reiterating the value of his "lifetime all access" Easter special, which is closing soon. This package offers comprehensive training on building algorithmic trading bots for various platforms (crypto, stocks, futures, Solana, Poly Market), access to his code, deleted live streams, the API key, and the Mundave app. He stresses that AI handles the heavy coding, making it accessible even for beginners, and offers a 90-day money-back guarantee. He expresses his passion for competing and helping others accelerate their learning journey in algorithmic trading, contrasting his abundance mindset with the scarcity mentality often found in traditional finance.