Building a Hack The Box for Stock Trading – Looking for Devs, Traders & Finance Experts (I WILL NOT PROMOTE)

I’m working on a gamified stock market learning platform that makes stock trading education interactive, structured, and competitive—inspired by platforms like Hack The Box. The Problem Stock market education is outdated, fragmented, and not designed for modern traders. • Investopedia and YouTube require endless searching and don’t provide structured learning. • Paper trading does not teach risk management or trade execution properly. • There is no challenge-based way to improve real-world trading skills in a structured environment. The Solution: A Gamified, Challenge-Based Learning Platform for Trading This platform turns trading into a game, where users progress through real-world stock market challenges and climb leaderboards. It starts with beginner-friendly scenarios and expands into advanced trading strategies, including options, algorithmic trading, and institutional-style risk management. How It Works • Trading Challenges – Users complete progressively harder scenarios such as “Buy the Dip,” “Trade an Earnings Surprise,” and “Execute a Market-Neutral Hedge.” • Rankings and XP – A skill-based ranking system that allows users to advance from beginner to expert. • AI Feedback and Trade Coaching – Real-time feedback on risk management, trade execution, and strategy optimization. • Live and Historical Stock Data – Challenges based on real past market events such as the 2008 crash, the GameStop short squeeze, and Fed rate hikes. • Algorithmic Trading Simulations – Teaches Python-based trading strategies with backtesting challenges. • Options and Derivatives Challenges – Covers strategies such as covered calls, credit spreads, and delta-neutral hedging. • Team-Based Competitions – Users compete in leagues and trading battles with real portfolio constraints. Challenge Examples: From Beginner to Advanced Level Challenge Name Objective Beginner Buy the Dip Identify a stock in a short-term downtrend with reversal signals. Beginner Breakout or Fakeout Analyze a stock breaking resistance to determine whether it is a real or false breakout. Intermediate Earnings Surprise Predict a stock’s reaction to an earnings beat or miss using past market behavior. Intermediate Short Squeeze Alert Detect conditions for a short squeeze using short interest and momentum. Advanced Market-Neutral Hedge (Pairs Trading) Construct a long/short strategy to profit in any market condition. Advanced Fed Rate Hike Impact Adjust portfolio exposure based on a Federal Reserve policy change. Expert Options Gamma Scalping Trade gamma scalping strategies using options delta hedging. Expert High-Frequency Trading Simulation Use Python to backtest a market-making algorithm. These challenges mimic real-world trading scenarios and provide instant feedback on trade execution, risk, and decision-making. Who I’m Looking For • Full-stack developers with experience in React, FastAPI, PostgreSQL, Firebase, or Node.js • Finance professionals and traders to help create high-quality challenges • Data scientists and algo traders for AI-powered trade coaching and backtesting simulations • UI/UX designers to make the platform modern and intuitive • Anyone passionate about stock markets and disrupting financial education Why This Could Be Big • Retail trading is growing, but structured education is missing. • Gamification has proven to work in other fields, but finance education is still outdated. • AI-powered finance is becoming mainstream, and real-time trade coaching could be a game-changer. Would love to connect with anyone interested in helping build this vision. Drop a comment, DM me Let’s change the way people learn to trade.