Rekt-AI

REKT-AI: A Platform for Training AI Through Real-Time Prediction Battles

What is REKT-AI? REKT-AI is a cutting-edge platform designed to allow humans and AI to compete in prediction battles within dynamic financial markets. Unlike traditional AI models that rely on static data and pre-defined algorithms, REKT-AI leverages live competition to train AI models in real-time. The platform offers a place where users (whether they are professional traders, retail investors, or AI enthusiasts) can engage in market predictions and compete directly with AI. This competitive format not only enhances the user experience but also provides a powerful method for AI to learn, evolve, and improve its strategies with every battle.

How Does It Work? Prediction Battles: Users participate in prediction battles, where they predict the movements of financial assets—such as whether the price of BTC will rise or fall within a specific timeframe.

Users can apply their own trading strategies, analysis techniques, and market insights to make their predictions. Every prediction requires users to specify a price target, adding more precision and realism to the market dynamics. AI Competition: Alongside human participants, REKT-AI’s proprietary AI models enter the battlefield. These AI models don’t just rely on historical data but adapt based on outcomes from each round of competition.

The AI models are constantly refining their strategies after each prediction battle, learning from both human participants and market changes. This ensures that AI evolves based on real-world conditions rather than relying on outdated datasets. Rewards System:

Winners—whether human or AI—are rewarded based on the accuracy of their predictions. The platform encourages a fair and transparent ranking system, ensuring the most precise and effective strategies are rewarded. Incentivizing AI growth: The rewards also contribute to the continuous development of the AI, making it smarter over time. AI Learning Process: With every competition, the AI models learn from their mistakes and adapt to improve. Instead of relying on a one-time training model, the AI evolves through ongoing real-time data and predictions, becoming more efficient and effective after each battle.

This model shifts the paradigm from static AI training (based on past data) to dynamic, live learning—allowing AI to react to market trends, volatility, and even human behavior. The platform enables a cyclical learning process, where both humans and AI constantly push each other to evolve and outperform. Why REKT-AI Is Revolutionary Real-Time AI Training: Traditional AI models are trained on large, static datasets. REKT-AI flips the script by allowing AI to learn dynamically, in real-time, as it competes against live market predictions. This makes the AI more responsive to changes and gives it a significant edge in volatile markets.

Gamified Engagement: The competitive, gamified nature of the platform keeps users engaged while contributing to the AI’s evolution. As users compete, they’re actively helping the AI improve, while at the same time, receiving rewards for their success.

Permissionless Participation: Anyone can join the prediction battles—whether you’re an experienced trader, a beginner, or just someone interested in testing AI strategies. The platform is open and accessible, promoting a decentralized approach to AI development and market prediction.

Adaptive AI: Unlike conventional models, where AI is trained once and set aside, REKT-AI ensures that the AI constantly learns and adapts, making it a powerful tool for a wide range of financial applications. As it learns from each battle, it gets better at predicting market movements.

Potential Use Cases for REKT-AI Hedge Funds & Professional Traders:

Use REKT-AI to train and refine AI models for real-time market predictions. Hedge funds can optimize their trading strategies by testing AI models in competitive environments. Retail Traders:

Retail traders can use the platform to test AI-driven strategies alongside human strategies. It can help individual traders improve their understanding of AI’s potential and use it as a tool for more informed decision-making. AI-as-a-Service:

Businesses can leverage REKT-AI to offer AI-powered market predictions as a service. It provides an opportunity for companies to build products that use AI predictions for market insights, financial forecasting, or risk analysis. Why REKT-AI Is the Future Adaptive AI: With the constant, live learning process, REKT-AI ensures that AI models stay ahead of market trends and evolve at a rapid pace. Engagement & Incentives: By allowing humans to compete directly with AI, REKT-AI offers a unique gamified experience, making it both an educational and competitive tool. Open Access: REKT-AI promotes permissionless participation, allowing anyone to join and contribute, democratizing access to AI-powered market predictions. Conclusion REKT-AI is not just a prediction platform; it’s a space where AI evolves through real competition. Whether you’re a trader, an AI enthusiast, or a business looking to use cutting-edge AI to predict market movements, REKT-AI offers a dynamic, evolving platform that improves AI in real time. By combining human intelligence and AI’s adaptability, REKT-AI is shaping the future of AI-driven market prediction.

How REKT-AI Was Built Frontend: We used Next.js to build the frontend. It helps us create fast, responsive pages and manage dynamic content, making the user experience smooth.

Backend: The backend is built with TypeScript, which helps us maintain clean, reliable code. This backend handles user interactions, connects with the AI, and fetches data from various sources like Binance for real-time market data.

AI Agent: The AI model is powered using Coinbase's Developer Platform (CDP), which allows us to access their tools to gather market data and help the AI make predictions. The AI improves over time by learning from the outcomes of each prediction battle.

Smart Contracts: We use Foundry for developing smart contracts. These contracts manage user predictions, verify outcomes, and distribute rewards.

Data: We gather real-time market data from Binance and use Subgraph to query blockchain data. We store everything in a PostgreSQL database to keep track of user predictions and rewards.