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Dashboard
Viewing a stock
Sentiment Data
News about the stock
Ticker ChatBot
Paper Trading

WaveCap

Overview

This project is a Stock Portfolio Management System built with Flask for the backend and React for the frontend. It allows users to track stocks, view stock charts, manage a virtual portfolio, create trading simulations, and analyze news sentiment.

Inspiration

The inspiration for this project came from the need to provide users with a simple yet powerful tool to track their financial portfolios, simulate trading strategies, and stay updated with market trends. The introduction of Ticker, an AI assistant, adds a conversational dimension to financial management, making it more intuitive and user-friendly.

What it does

WaveCap allows users to:

Manage and track their stock portfolio.
Visualize stock performance with interactive candlestick and line charts.
Simulate trading strategies with customizable paper trading simulations.
Analyze market sentiment based on recent news articles.
Access daily top stock gainers and financial insights via Ticker, an AI-powered assistant.
Generate text-to-image visualizations using Cloudflare's API integration.

Ticker: AI Assistant for Financial Support

Ticker is a friendly chatbot designed to assist users with:

Answering financial and stock-related queries.
Providing investment advice powered by the SambaNova AI model.
Delivering actionable insights for portfolio management and trading strategies.

How we built it

Data Structure

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Backend:

Flask framework for building APIs.
Firebase Authentication and Database for secure user login and account management.
Firestore as the primary database for storing user data and portfolios.
Yahoo Finance API for fetching real-time stock data and historical information.
NewsAPI and NewsData.io API for gathering news articles for sentiment analysis.
VADER Sentiment Analysis for sentiment scoring.
Alpaca Trading API for integrating virtual trading features.
TradingView API for advanced charting in paper view.
SambaNova API for Ticker's conversational AI capabilities.
Cloudflare API for generating dynamic text-to-image visualizations.

Frontend:

React for building a responsive and interactive user interface.
Chart.js for rendering stock performance graphs.
React Router for navigation between portfolio, simulations, and stock views.
Custom CSS for styling components, including the Ticker chatbot.

Challenges we ran into

Data Accuracy: Ensuring data fetched from APIs like Yahoo Finance and Alpaca was accurate and displayed in real-time.
Sentiment Analysis: Processing news articles efficiently and providing meaningful sentiment scores.
Simulation Management: Handling simulation state and ensuring user data integrity across the dashboard.
AI Integration: Developing Ticker to provide reliable and contextually accurate financial insights.
Cloudflare API: Ensuring smooth integration for text-to-image visualizations.
User Experience: Balancing functionality with simplicity for a seamless user experience.

Accomplishments that we're proud of

Successfully integrating Ticker as an AI-powered financial assistant.
Implementing interactive and dynamic chart visualizations for stock data.
Creating a robust simulation feature for paper trading, helping users practice trading strategies.
Incorporating Cloudflare's API for generating text-to-image outputs, adding a creative element.
Building a responsive and user-friendly frontend interface.
Developing sentiment analysis features for actionable news insights.

What we learned

The importance of managing API rate limits and handling errors gracefully.
Effective methods for visualizing financial data using Chart.js.
Techniques for integrating conversational AI into web applications.
Insights into the stock market and trading strategies.
Leveraging Cloudflare's text-to-image API for enhancing interactivity.
Collaborative problem-solving and debugging in a complex application.

What's next for WaveCap

Advanced AI for Ticker: Enhance Ticker with predictive analytics and personalized financial recommendations.
Mobile App: Develop a mobile version of the platform for easier accessibility.
Real-Time Updates for Simulation: Add live stock price updates for an enhanced user experience.
Community Features: Introduce forums and leaderboards for users to share strategies and simulations.
Expanded Financial Tools: Add budgeting and expense-tracking features to complement portfolio management.
Enhanced Visualizations: Use Cloudflare's text-to-image API for creating customizable charts and infographics.

Features

Backend (Flask):

User Authentication: Signup, login, and logout using Firebase Authentication.
Portfolio Management: Save, remove, and view stocks in your portfolio.
Stock Data Visualization: Fetch and display stock data using Yahoo Finance and Chart.js.
Trading Simulations: Create paper trading simulations and manage virtual trading data.
News Sentiment Analysis: Analyze company news sentiment using NewsAPI and VADER sentiment analysis.
Top Gainers: Fetch daily top-gaining stocks.
Ticker AI Assistant: Conversational financial insights powered by SambaNova.
Cloudflare Integration: Text-to-image visualizations for enhanced interactivity.

Frontend (React):

Search Functionality: Autocomplete stock suggestions and view stock details.
Interactive Charts: Candlestick and line charts for stock performance visualization.
Dashboard: Manage simulations and monitor trading performance.
Paper Trading: Simulate trading with custom parameters.
Ticker Chatbot: Chat interface for financial advice and insights.