mingl2000 Goto Github PK

apple-stock-price-prediction---time-series---sma-ema-fb-prophet-univariate-and-multivariate-ltsm

automatic-stock-trading

Trading Algorithm by XGBoost

awesome-full-stack-machine-courses

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

awesome_ai4finance

Resources

az-104-microsoftazureadministrator

AZ-104 Microsoft Azure Administrator

backtrader-for-backtesting

These are the code snippets used in the Backtrader for backtesting guide on the AlgoTrading101 website

blanier-dashboards

camera_sim

cbe67701-uncertainty-quantification

Summer 2020 reading group on uncertainty quantification

czscchan

缠中说禅技术分析工具；缠论；股票；期货；Quant；量化交易

deep-reinforcement-learning-for-stock-trading-ddpg-algorithm-nips-2018

Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.

dwmf-for-removal-of-random-valued-impulse-noise

Directional Weighted Median Filter for Removal of Random-Valued Impulse Noise

ecbm4040-final-project-wsae-lstm

Attempt to replicate the WSAE-LSTM model defined by Bao, Yue, Rao (2017).

elegant-finrl

Elegant FinRL: lightweight, efficient and stable FinRL

elegantrl

Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥

elliottwaveanalyzer

Tools to find Elliot Wave count in financial data

feature-eng

Implements classes for feature engineering including one for Singular Spectrum Analysis (SSA) decomposition, SSA prediction or an heuristic function of an input dataset that may be used as training signal.

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

machinelearning_columbiax

记录edx的哥伦比亚大学机器学习课程资料

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

phbs_tqfml-stockindex-wavelet-transformation-arima-ml-model

PHBS 2018 Machine Learning Class Project

probability

Probabilistic reasoning and statistical analysis in TensorFlow

probability-of-informed-trading

Implementation of PIN ( Probability of Informed trading) on A-Share daily public data (based on Yan Y, Zhang S. An improved estimation method and empirical properties of the probability of informed trading[J]. Journal of Banking & Finance, 2012, 36(2): 454-467.)

pytorch-ddpg-stock-trading

An implementation of DDPG using PyTorch for algorithmic trading on Chinese SH50 stock market.

soft_attention_lstm_time_series_forecasting

soft attention mechanism with lstm neural networks

statistical_modeling_for_time_series_forecasting

The S&P 500 Market Index is analysed using popular statistical models such as SARIMA, ETS and GARCH. Additionally, a powerful open source forecasting package from Facebook, called Prophet, is also used.

stock-market-feature-engineering

The following project calculates these inputs: Stochastic %K, Stochastic %D, Stochastic Slow %D, Momentum Rate of Change, Larry William’s %R, A/O Oscillator, Disparity in 5 and 10 days, Moving Average 5 and 10, OSCP Price Oscillator, Commodity Channel Index (CCI), Relative Strength Index (RSI)

stock-market_data_etl

A collection of Jupyter Notebook Python files for collecting stock market data in an AWS RDS database.

stock-prediction

Stock prediction with Natural Language Processing

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations