What’s your problem statement?

Investments:
There's a million sources of financial advice and investment recommendations on the internet. Can people have their own personalized AI-powered one?

The problem Profit pocket solves

Overload of Financial Data
Investors face an excess of information from various sources, making it difficult to identify insights relevant to their portfolios. A system that filters essential data would greatly simplify decision-making.

Limited Personalization
Most platforms offer generic advice that doesn’t consider individual risk profiles or goals, leaving users with one-size-fits-all recommendations. Personalized insights are essential for tailored investment strategies.

Complexity of Risk and Sector Analysis
Evaluating risk, diversification, and sector opportunities is complex and typically requires advanced tools. Investors need accessible tools to manage these elements confidently.

Difficulty in Tracking and Forecasting
Simplified tools for technical analysis and short-term forecasts are limited, leaving investors without the timely insights necessary for proactive decisions.

Fragmented Financial Data
Important data like news and company reports are scattered across sources, making it hard to get a comprehensive view. A centralized platform could streamline access to all essential information.

Lack of Forecasting Tools
Investors lack tailored forecasts, receiving only broad market trends that don’t fit their unique portfolios. Customized forecasting is needed for relevant insights.

Absence of Integrated Analysis Tools
Investors require a single platform for tailored insights, risk analysis, and forecasting to make well-rounded, informed decisions. An all-in-one solution would simplify and enhance investment management.

Challenges we ran into

Setting Up Firebase for Stock Watchlist
Integrating Firebase to store and update user watchlists in real-time required managing data consistency. We encountered challenges in syncing stock metrics like high, low, and volume reliably without delays, especially during high data loads.

Ensuring Accurate Portfolio Metrics
Calculating portfolio metrics like risk scores and diversification ratios required precision to ensure these values were meaningful for users. Testing was essential to ensure metrics accurately reflected portfolio diversity and risk without overcomplicating the data.

Making Visuals Easy to Understand
Simplifying visuals for sector analysis and risk insights required experimentation with layouts and colors. We refined these visuals to make complex financial data accessible and intuitive for users of all levels.

Integration with ngrok for Local Testing
Using ngrok to expose our local development server posed connectivity issues, especially with Firebase callbacks and webhooks. Ensuring ngrok’s public URLs consistently communicated with Firebase for real-time updates was challenging, as each session required reconfiguring URLs and managing downtime due to ngrok’s limited free-tier sessions.