visualizing deep models for stock prediction
Predict stock prices using LSTM model
Analyze Indian stock market data for morning movements and predictions
Analyze stock prices and news sentiment
Track stock sentiment trends using historical and real-time data
Predict and visualize market trends for energy products
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https://huggingface.co/spaces/VIDraft/mouse-webgen
A Stock price prediction app using machine learning
Find Similarity between Stock Price Actions
Technical analysis and trading signals.
K_EA TP and Trade Prediction
Predict stock volatility using a multi-variable model
DeepST is an advanced AI tool designed to predict and forecast stock prices using a recurrent neural network (RNN). It leverages deep learning models to analyze historical stock data and provide accurate predictions. The tool is built for traders, investors, and financial analysts who want to make data-driven decisions in the stock market.
What type of neural network does DeepST use?
DeepST uses a recurrent neural network (RNN), which is particularly effective for time-series data like stock prices.
How do I interpret the visualizations provided by DeepST?
The visualizations show predicted stock prices over time, with confidence intervals. Green lines indicate predicted prices, while shaded areas represent uncertainty.
Can I customize the model for specific stocks?
Yes, DeepST allows users to fine-tune models for individual stocks or market sectors by adjusting parameters and input data.