G_will's starred repositories
candlestick-pattern
Candlestick Pattern Detection using Python
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.
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
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。
Krypto-trading-bot
Self-hosted crypto trading bot (automated high frequency market making) written in C++
load_forecasting
Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
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))
trading-signals
Technical indicators to run technical analysis with JavaScript & TypeScript. 📈
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.
ARIMA-LSTM-hybrid-corrcoef-predict
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
pytorch-sentiment-analysis-classification
A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
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.
TWAPexecution
TWAP excecution Algorithm
Kite-Trader
Unofficial Python library for Zerodha Kite Web and KiteConnect
pytvlwcharts
An Experimental Python Wrapper For Tradingview's Lightweight-Charts To Be Used In Notebook Environments (Google Colab).
Adv_Fin_ML
Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado
ctc-executioner
Master Thesis: Limit order placement with Reinforcement Learning
TradingView-Machine-Learning-GUI
Embark on a trading journey with this project's cutting-edge stop loss/take profit generator, fine-tuning your TradingView strategy to perfection. Harness the power of sklearn's machine learning algorithms to unlock unparalleled strategy optimization and unleash your trading potential.
optimal-order-execution
:arrows_counterclockwise: Exploring Optimal Order Execution in Simulated Limit Order Books
Deep-Time-Series-Prediction
Seq2Seq, Bert, Transformer, WaveNet for time series prediction.
awesome-tradingview
Curated list of noteworthy TradingView Strategies, Indicators and Alert Scripts for Trading Bots (PineScript)
Deep-Learning-with-PyTorch-A-60-Minute-Blitz-cn
PyTorch1.0 深度学习：60分钟入门与实战（Deep Learning with PyTorch: A 60 Minute Blitz 中文翻译与学习）