sadrzadehsaeed's Stars
ichalkiad/ardlmidasdnn
This repository contains the code for the paper "Hybrid ARDL-MIDAS-Transformer Time-Series Regressions for Multi-Topic Crypto Market Sentiment Driven by Price and Technology Factors", by Ioannis Chalkiadakis, Prof. Gareth W. Peters and Dr. Matthew Ames.
vivekbhargava23/Echo-State-Network-using-Mixed-sampling-frequency-data
KosarevVS/Mixed-Data
Mixed Data Sampling with CNN
LakshmiBelavatagi/Stock-Market-Prediction
Fetching the Data from Nsepy Library. Using Ta-lib Create 3 new columns containing EMA, ADX and RSI. Split the Data into Train and Test. Doing the Training and Testing using LSTM, BI-LSTM , GRU and BI-GRU. Predicting the prices using the new data.
shrikanthurkat333/StockMarket-Prediction-and-Analysis
Stock Price Prediction using LSTM and Technical Analysis using RSI, Bollinger Bands, EMA and MACD and company information from yfinance.
tejaslinge/Stock-Price-Prediction-using-LSTM-and-Technical-Indicators
In this Jupyter Notebook, I've used LSTM RNN with Technical Indicators namely Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD), and Bollinger Bands to predict the price of Bank Nifty.
LastAncientOne/Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
AileenNielsen/TimeSeriesAnalysisWithPython
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
maxim5/time-series-machine-learning
Machine learning models for time series analysis
LouisSugunasabesan/Volatility-Modelling-Using-HiddenMarkovModels
Applying Hidden Markov Models to model Gold Intraday Volatility by detecting regime switches from low-vol regimes to high-vol
Ajaypal91/Predicting-Price-of-Cryptocurrency
Machine Leaning regression on cryptocurrency price prediction using SVM, HMM, PCA, fbProphet, continuous HMM, ARIMA and comparing the results
lamres/hmm_market_behavior
Unsupervised Learning to Market Behavior Forecasting Example
ayushjain1594/Stock-Forecasting
Hidden Markov Model (HMM) based stock forecasting
ArcherCYM/CEEMDAN-LSTM
Paper-Reproduce: (ESWA) Forecasting the realized volatility of stock price index: A hybrid model integrating CEEMDAN and LSTM
GivyBoy/CEEMDAN-and-LSTM-CNN-CBAM
This repo holds the implementation the paper 'Forecasting gold price using a novel hybrid model with ICEEMDAN and LSTM-CNN-CBAM', by Yanhui Liang, Yu Lin, and Qin Lu.
avilarenan/xlstmceemdan
XLSTM-CEEMDAN model
jessgess/Time_Series_Analysis_ARIMA
Time Series analysis with Python and ARIMA model to forecast Bitcoin price
barnamenevisi/free-resources
آرشیو منابع رایگان آموزش برنامه نویسی به زبان فارسی ( به امید اینکه کسی به خاطر نداشتن پول از آموزش عقب نمونه و آموزش برای همه در دسترس باشه )
Alro10/deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
christianversloot/machine-learning-articles
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Zarmina97/Top-3-Crypto-Volatility-prediction-LSTM-GARCH
XuanyiJi/Forecasting-the-volatility-of-stock-price-index
A hybrid model to predict the volatility of stock index with LSTM and GARCH-type input parameters
JordiCorbilla/stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
CoookieYou/Markov-Switching-Crypto-Portfolio
Crypto Trading Strategy based on Markov Switching GARCH
kazimsanlav/Midas-GDP-Forecast
My senior year project. Forecasting Turkey's real GDP growth using mixed data sampling regression model.
msperlin/MS_Regress-Matlab
Repository for MS_Regress, a matlab package for estimation and simulation of markov regime switching models
cran/dccmidas
:exclamation: This is a read-only mirror of the CRAN R package repository. dccmidas — DCC Models with GARCH and GARCH-MIDAS Specifications in the Univariate Step, RiskMetrics, Moving Covariance and Scalar and Diagonal BEKK Models
AKuzina/MIDAS
Using MIDAS Models on Russian Data. Cource work 2016
ericwbzhang/Vol_prediction
Realized Volatility Forecasting modeling