WALL-A
Wallet Agents - Agentic framework to take trade/Bet suggestion for any trading platforms, Using NLP and real facts agent will suggest to take trade or not and execute trade on behalf of user.
About
The problem it solves Wall-A streamlines and enhances the decision-making process for traders by leveraging AI capabilities. Here's how: Sentiment Analysis with Confidence Scores Wall-A performs sentiment analysis on trading signals, providing users with a confidence score supported by credible sources. This reduces the effort required for manual research and builds trust in the decision-making process. One-Click Trading With Wall-A, users can act on the insights instantly, enabling them to execute trades in a single click, saving valuable time. Customizable Connectors and Framework Wall-A features a generic connector and search-building framework, allowing users to add new integrations effortlessly. This adaptability ensures that users can tailor the platform to suit their unique needs. Automated Alerts Alerts are stored in a database and users are notified as soon as pre-defined conditions are met. This proactive approach ensures traders never miss critical opportunities. Wallet Creation via Text Prompts Users can create wallets automatically by providing simple text prompts, powered by an AI agent, further simplifying the trading setup process. Benefits Time-Saving: Automates manual tasks like sentiment analysis, signal evaluation, and wallet creation. Informed Decisions: Provides actionable insights with confidence scores and backed sources. Ease of Use: Offers a seamless user experience with one-click trading and intuitive customization. Proactive Notifications: Keeps users informed with real-time alerts tailored to their preferences. Wall-A transforms the way traders approach decision-making, making it faster, safer, and more efficient.
How it's made
Challenges we ran into News source was not good and we had to connect google news, that was not straightforward connectin two agents - had to write connections from scratch and expose apis for doing custom actions with agents