Stock price forecasting stuff with BERT
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Updated
Sep 23, 2020 - Python
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stock-forecasting
Here are 9 public repositories matching this topic...
A Django app to predict realtime stock market prices for NSE India and NYSE using LSTM.
javascript python machine-learning django lstm stock-market stock-price-prediction prices stock-prediction stock-price-forecasting nyse stock-forecasting nse-india
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Oct 26, 2021 - Python
In this repository, the goal is to predict the tick direction of a stock based on its current order book and trade data. A LSTM Neural Network is used as an example of potential solution for such problem.
python linear-regression regression prediction python3 lstm forecasting classification stock-price-prediction lstm-neural-networks orderbook scikitlearn-machine-learning tick-data stock-forecasting
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Apr 29, 2021 - Python
Implementação de uma LSTM para prever fechamento de ações na B3. Scripts para análise e predição de valores.
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Oct 19, 2020 - Python
A personal end-to-end machine learning project that seeks to predict stock prices from economical indicators for a variety of USA-based companies.
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May 24, 2019 - Python
Backtesting software for intraday and daily timeframe SARIMAX forecasting model. Capable of forecasting on any asset class with backtesting capability across various parameter sets customizable by the user.
signal-processing python3 api-rest quantitative-finance autoregressive backtesting-engine sarimax stock-forecasting
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Jan 4, 2023 - Python
Progetto di tesi: rete LSTM multivariata con sentiment analysis per la previsione dei titoli in borsa
python sentiment-analysis lstm stock-price-prediction lstm-neural-networks textblob-sentiment-analysis pytorch-lstm stock-forecasting
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Nov 22, 2023 - Python
Stocks Forecasting for MAANG | MLOps using ZenML | Streamlit UI
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Aug 19, 2023 - Python
this repository contains a comprehensive, end-to-end pipeline for forecasting stock prices using a blend of advanced statistical methods and deep learning models. The system is designed to download historical stock data, preprocess and engineer features, and then generate forecasts using multiple models before combining them with an ensemble.
python finance data-science machine-learning deep-learning time-series gru xgboost garch lstm-neural-networks arima-forecasting prophet-model stock-forecasting
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Mar 2, 2025 - Python
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