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stock-forecasting

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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.

  • Updated Apr 29, 2021
  • Python

Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.

  • Updated Oct 30, 2024
  • Jupyter Notebook

In this project, I develop a CNN-based tool for stock price modeling and forecasting. This repository covers data preprocessing, model building, and evaluation, including callbacks like Early Stopping and Learning Rate Reduction. Ideal for quantitative finance, the project emphasizes model evaluation and accurate stock price predictions.

  • Updated Sep 4, 2024
  • Jupyter Notebook

image caption generator, dog breed classifier, stock forecasting 🤖🖼️ Порождение подписей на русском языке к изображениям (Python, Keras). Собрал нейросеть из двух частей – свёрточная и рекуррентная части. Получил датасет путём перевода на русский датасета Flickr 8k с помощью Yandex Translate API. Получил метрику BLEU равной 0.51.

  • Updated Nov 26, 2022
  • Jupyter Notebook

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