Tag
#time-series
35 repositories
Repos
The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
A well-tuned algorithm to generate & draw support/resistance line on time series. 根据时间序列自动生成支撑线压力线
CryptoCurrency prediction using Deep Recurrent Neural Networks
Easy-to-use cryptocurrency trading strategy simulator and backtester
Real-time analysis of bitcoin markets with Kafka and Tensorflow Serving
TradeAI: Empowering Algorithmic Trading with Deep Learning for Cryptocurrency Data. Explore the potential of deep learning in cryptocurrency trading through our full-stack algorithmic trading system, fueled by state-of-the-art transformer models
Machine Learning Cognitive Service capable of forecasting the crypto markets! Utilizing Microsoft Machine Learning & Intel MKL.
This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"
📈 Free crypto market data (worth $500+/mo) for ML & research. Star ⭐ to keep it free!
Recurrent Neural Network (RNN), LSTM (Long Short-Time Memory), Bitcoin, Google Trends, Prediction, Deep Learning
Detecting Fraudulent Blockchain Accounts on Ethereum with Supervised Machine Learning
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.
Relation-Aware Transformer for Portfolio Policy Learning using Binance provider
Unofficial implementation of the paper: "Step on the Gas? A Better Approach for Recommending the Ethereum Gas Price"
Automatic optimal sequential investment decisions. Forecasts made using advanced stochastic processes with Monte Carlo simulation. Dependency is handled with vine copulas.
A tool for streaming time series data from a BigQuery table to a Pub/Sub topic
EVMOS blockchain Dapp that utilizes on-chain data to model potential price fluctuations in real-time from covalent api.
Monitoring tool for UMEE node based on Telegraf+InfluxDB and Grafana
📊 Solana Price Data Analysis — A comprehensive end-to-end data pipeline for analyzing and modeling Solana (SOL) price data from 2021 to 2024. This project includes data ingestion, technical indicator generation, feature engineering, machine learning modeling, and a real-time live dashboard using the Binance API for direct OHLCV Data Fetching.
Autonomous algorithmic trading bot for Solana & Raydium — from data collection and prediction to execution and alerts.
CNN with Grammian Angular Fields for Tezos price prediction
Analyze historical Bitcoin data using clustering and pattern recognition to uncover market trends and potential price movements.
Bitcoin-Seconds (BXS): a Bitcoin-native metric for durable value—flow 𝑓 ( 𝑡 ) f(t), stock 𝑆 S, and persistence 𝐵 𝑋 𝑆 BXS—with pre-registered tests and node-local implementation.
⏳ Measure durable energy claims in Bitcoin with BXS, analyzing time-shifted investments for better economic insights and financial strategies.
Go tool to download and aggregate Binance aggTrades into hourly bars with order flow metrics and adaptive whale detection (rolling P99/P99.9). Designed for neural network training with Parquet output.
CSD early-warning signals on BTC/ETH crashes — AR(1), std. dev., Kendall's τ | Econometrics & Time Series | M1 Paris 1 Sorbonne
MSc Dissertation (Bank of England) · Bitcoin-FX predictability · PatchTST, TFT, XGBoost, GARCH · DM test · MCS · Bayes Business School
10-year analysis of Ethereum smart contract verification trends using Python & Power BI"