Closing price prediction for BTC and ETH using LSTM, CNN-LSTM, BiLSTM, CNN-BiLSTM, and GRU
☆35May 31, 2022Updated 4 years ago
Alternatives and similar repositories for Cryptocurrency-Price-Prediction
Users that are interested in Cryptocurrency-Price-Prediction are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- CNN LSTM model used for predicting cryptocurrencies☆12Sep 25, 2023Updated 2 years ago
- 用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型☆61Nov 7, 2018Updated 7 years ago
- Python implementation of the paper "A CNN–LSTM model for gold price time-series forecasting". Published in Neural Computing and Applicati…☆19Jun 25, 2021Updated 5 years ago
- Statistical Arbitrage & Algorithmic Trading: time series analysis and the presence of cointegration in cryptocurrency price series.☆11Jan 10, 2019Updated 7 years ago
- ☆27Oct 14, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Forex price movement forecast☆37Sep 15, 2021Updated 4 years ago
- Group review spammer detection☆10Sep 9, 2019Updated 6 years ago
- This projects develops several SARIMAX time series models and neural networks (LSTM, GRU, CNN) to predict the hourly heat demand in a dis…☆10Apr 28, 2020Updated 6 years ago
- Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)☆103Nov 6, 2020Updated 5 years ago
- Stock Price Prediction using CNN-LSTM☆92Jan 20, 2020Updated 6 years ago
- 此项 目包括数据的预处理、使用GM(1,1)和BP神经网络模型进行数据分析和预测,以及结果的可视化展示。项目旨在展示如何结合传统的机器学习方法和深度学习技术来进行时间序列预测。☆11Mar 22, 2024Updated 2 years ago
- ☆38Mar 25, 2021Updated 5 years ago
- Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles…☆14Mar 29, 2022Updated 4 years ago
- Implementation of Constrained Seed k-means algorithm [Basu et al., 2002]☆11Jan 7, 2023Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- manipulating cointegrated pairs to achieve a market-neutral strategy that outperforms indices☆11Jan 12, 2021Updated 5 years ago
- CEEMDAN-VMD-LSTM Forecasting model (a light version of CEEMDAN_LSTM)☆108Aug 30, 2022Updated 3 years ago
- This is a GUI interface which can process forest fire detection, smoke detection and fire segmentation. Yolov5 is used to detect fire and…☆33Aug 18, 2022Updated 3 years ago
- Forecasting crude oil price based on only historical price data utilizing time-series forecasting and ensemble modeling.☆17May 1, 2023Updated 3 years ago
- clustering moroccan stocks time series data using k-means with dtw (dynamic time warping)☆10Feb 8, 2022Updated 4 years ago
- 使用卷积神经网络-长短期记忆网络(bi-LSTM)-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to…☆319Jan 26, 2024Updated 2 years ago
- Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.☆14Nov 8, 2023Updated 2 years ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆11Dec 20, 2021Updated 4 years ago
- Prediction of Remaining Useful Life (RUL) of NASA Turbofan Jet Engine using libraries such as Numpy, Matplotlib and Pandas. Prediction is…☆10Apr 18, 2021Updated 5 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- time series forecasting with TCN and RNN neural networks in Darts☆13Nov 1, 2021Updated 4 years ago
- A Study on Stock Price Prediction and Quantitative Strategy - Based on Deep Learning 『深層学習に基づく株価予測とクオンツ戦略に関する研究』基于深度学习的股票价格预测和量化策略研究☆39Mar 30, 2022Updated 4 years ago
- This Repository includes files of project predicting Cryptocurrency Ethereum price using Twitter sentiments and Machine Learning☆12Oct 19, 2022Updated 3 years ago
- Inferencing 'PatchTST' and 'Informer' to harness the power of transformers for multivariate 'long sequence time-series forecasting' (LSTF…☆19Nov 9, 2023Updated 2 years ago
- Estimation of RUL (Remaining Useful Life) of NASA Turbobfan Engine☆10Nov 28, 2021Updated 4 years ago
- High Frequency Trading Self Study Manual, 高频交易自学指南☆20Feb 11, 2025Updated last year
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…