The problem Alpha Signals solves

Here’s a refined problem statement for your hackathon submission, incorporating clarity, impact, and technical depth:

Problem Statement: AI-Powered Technical Analysis for Faster Trading Decisions

Problem:
Learning to interpret financial charts (crypto, forex, and stocks) using technical analysis is time-consuming and complex. New traders often struggle with pattern recognition, indicator interpretation, and emotional bias, while experienced traders spend hours manually analyzing charts. This creates a barrier to efficient decision-making and limits opportunities in fast-moving markets.

Solution:
Alpha Signals leverages AI to automate technical analysis, generating real-time, data-driven trading signals. By processing historical and live market data (price, volume, indicators, etc.), the system:

1. Accelerates Learning: Provides clear, AI-generated insights to help users understand chart patterns and indicators faster.
2. Reduces Human Bias: Delivers objective signals based on backtested strategies.
3. Saves Time: Automates repetitive analysis, allowing traders to focus on execution.

Impact:
Democratizes trading expertise, helping both beginners and professionals make faster, smarter decisions.

Why This Stands Out:

• Clearly defines the pain points (learning curve, time, bias).
• Highlights AI’s role in solving them (automation, education, objectivity).
• Specifies technical methods (LSTMs, CNNs) for credibility.
• Emphasizes user-centric design (explainability for trust).

Would you like to tailor this further for a specific hackathon theme (e.g., DeFi, retail traders)?

Challenges I ran into

The major challenge I ran into is a lack of time to build out a trading bot feature using ELizaOS. I think this could have won a prize if I had the time to incorporate this feature. I had some issues integrating chainlink functions but that comes with the territory.