Tag
#time-series-analysis
12 repositories
Repos
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
R Shiny app to compare the relative performance of cryptos and equities.
A trading bitcoin agent was created with deep reinforcement learning implementations.
This repository contains the codebase used in the research conducted for the paper titled "Benchmarking Cryptocurrency Forecasting Models in the Context of Data Properties and Market Factors." The study involved a rigorous assessment of thirteen different time series forecasting models over twenty-one cryptocurrencies and four distinct time frames.
This is a machine learning project where we will be predicting the future price of top cryptocurrencies using time series forecasting and along with it perform sentiment analysis to know how favorable the market is.
TradeForge: A Python-based trading platform with real-time market data visualization, technical indicators, ML-driven predictions, backtesting, and simulated trade execution — all in a Streamlit dashboard.
End-to-End Python implementation of Mukhia et al.'s (2025) methodology for detecting political risk transmission in stablecoin markets. Implements dynamic programming for endogenous breakpoint detection, Empirical Mode Decomposition, Cholesky-identified structural shocks, and AAFT surrogate validation to quantify political uncertainty spillovers.