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š“ Title:
Implementing Machine Learning Models for Stock Market Prediction
š“ Aim:
To build and compare various machine learning models to predict stock prices and trends based on historical stock ā¦
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### Title
Stock sentimental analysis
### Enhancement Aim
The aim of a Stock Sentiment Analysis project using LSTM RNN is to predict stock market trends by analyzing the sentiment expressed in finanā¦
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I have good knowledge regarding stock market and wanted to combine it with Python to make a prediction model and help other small or big investors to gain some profits.
Please assign me this projecā¦
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### Initiative (Required)
GSSoC 2024 Extd š
### Is your feature request related to a problem? Please describe.
The feature request addresses the challenge of accurately predicting Nifty 50 prices bā¦
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Aim:
To execute an end-to-end stock market prediction webapp:
> Using appropriate algorithm for stock market prediction
> Backtesting and preventing over-fitting
> Creating a profit function for ā¦
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Problem Description:
Developing a new machine learning model for improving the accuracy and performance of stock price predictions. The challenge lies in modeling the highly volatile nature of stocā¦
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### Title
Text representation for direction prediction of share market
### Team Name
Stocks Savvy
### Email
202318035@daiict.ac.in
### Team Member 1 Name
Ashutosh Anand
### Team Meā¦
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AI-Based Stock Predictor
**Overview**
The AI-Based Stock Predictor uses machine learning to forecast stock prices based on historical data. This project leverages advanced algorithms to analyze pastā¦
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The Binary Trading AI Bot project aims to develop an AI-powered bot for binary trading, leveraging machine learning algorithms to predict market movements. To enhance the bot's predictive capabilitiesā¦
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This article is a nice application of supervised learning, one of the sub categories of ML. The steps for the method they use are as follows:
1. Data Collection: Collect data for the dataset
2. Daā¦