Portfolio/Stock Price Prediction
Machine LearningMachine Learning

Stock Price Prediction

A machine learning system using Long Short-Term Memory (LSTM) neural networks to predict stock prices. Features include fetching real-time data from Yahoo Finance, moving average visualizations, training vs test data comparisons, and an interactive Streamlit web application for predictions and visualization.

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Project Duration

Nov 2024 — Nov 2024

Client

FinTech ClientNDA

Key Features

LSTM neural network model
Real-time stock data fetching
Moving average analysis
Interactive web dashboard
Price prediction visualization
Model persistence

Technology Stack

PythonTensorFlow/KerasLSTMStreamlitYahoo FinancePandas

Project Metrics

85%
accuracy
Any
stocks
30 days
timeframe

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