G_will's starred repositories
Krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) written in C++
developkit_set
2021年最新总结，值得推荐的c/c++开源框架与库。持续更新中。
howtrader
Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.
Hands-on-Exploratory-Data-Analysis-with-Python
Hands-on Exploratory Data Analysis with Python, published by Packt
trading-signals
Technical indicators to run technical analysis with JavaScript & TypeScript. 📈
load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
pytvlwcharts
An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
pytorch-sentiment-analysis-classification
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
Backtrader-MQL5-API
Python Backtrader - Metaquotes MQL5 - API
ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
LOB-feature-analysis
Feature engineering of a Limit Order Book. Extraction of features from a LOB in order to analyse the behaviour of trade market.
TriexDev-SuperBuySellTrend-TradingView-Trend-Indicator
A minimal but powerful Trend Direction/BuySell indicator for TradingView
Multivariate-time-series-forecasting-keras
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron
Final-Year-Machine-Learning-Stock-Price-Prediction-Project
Final Year B.tech Project on Machine Learning Stock Prediction through Deep Learning
SynthetixFundingRateArbitrage
Delta-neutral funding rate arbitrage searcher
Time-Series-Forecasting-using-LSTM
Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and multi step))
Adv_Fin_ML
Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado
Backtesting-Trading-Strategies-with-Python
In this project, I had backtested the cross-over trading strategy on Google Stock from Jan 2016 to June 2020. By using historical time-series data, I had tested the Moving Average(MA) cross-over strategy and Relative Strength Index (RSI) strategy with a stop loss at a price that closes 2% or more below 10-day MA. I had plotted the equity curve with drawdowns and P&L, as well as volume, relative strength index (RSI), stock pricing chart and simple moving averages.
Kite-Trader
Unofficial Python library for Zerodha Kite Web and KiteConnect
candlestick-pattern
Candlestick Pattern Detection using Python
TWAPexecution
TWAP excecution Algorithm