Pinned Repositories
-chanlun
缠论量化，人类历史上第一个胜率严格为100%的技术分析策略，包含严格笔，线段作为最低级别，中枢的构成，级别的扩展，第一二三类买卖点，同级别分解的，背驰的判断，区间套
ad_examples
A collection of popular anomaly detection methods (iid/point-based and time series) including active learning for anomaly detection/discovery, description for diversity/explanation/interpretability. With a deeper analysis of incorporating label feedback with ensemble and tree-based detectors. Includes results-plots and illustrations for most approaches covered.
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
Advances-in-Financial-Machine-Learning
Notes on Advances in Financial Machine Learning
Advances-in-Financial-Machine-Learning-1
This repository will follow the book "Advances in Financial Machine Learning" by marcos lopez de prado.
Algo-Trader
An Algorithmic Day Trading Bot
assess-ML-algorithms
Implementing various machine learning algorithms from scratch such as Decision Tree Learner, Random Tree Learner and Bootstrap Aggregating Learner for Regression problems. Running experiments to evaluate and compare the learners in terms of performance metrics, overfitting, etc.
deep-stock
Deep Learning for Stock Market
luhongkai's Repositories
luhongkai/deep-stock
Deep Learning for Stock Market
luhongkai/Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
luhongkai/Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
luhongkai/Algo-Trader
An Algorithmic Day Trading Bot
luhongkai/book
书籍配套代码
luhongkai/ccxt
A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges
luhongkai/DayTradeAssist
Stock trading AI. Has reasonable (7 to 20% ish) gains in simulations
luhongkai/Deep-Reinforcement-Stock-Trading
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
luhongkai/entity-embedding-rossmann
luhongkai/finance_ml
Advances in Financial Machine Learning
luhongkai/Financial-Machine-Learning
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
luhongkai/flowrisk
A Python Implementation of Measures for Order Flow Risk, e.g. VPIN
luhongkai/flyerbots
Bitcoin Trading Bot for bitFlyer FX
luhongkai/Gekko-Strategies
Strategies to Gekko trading bot with backtests results and some useful tools.
luhongkai/go_ehlers_indicators
A collection of John Ehlers technical analysis indicators / Filters written in pure go, with links to original papers
luhongkai/Kaggle-House-Prices-Advanced-Regression-Techniques
Full data science project workflow that placed me in the top 5% of all competitors (0.11931).
luhongkai/learning_to_rank
利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。
luhongkai/learning_to_rank-1
Building and evaluating a ranking model using the MSLR-WEB10K dataset
luhongkai/ptranking
Learning to Rank in PyTorch
luhongkai/Q-trader
Implementation of Q learning in stock day trading.
luhongkai/Quantitative-analysis
量化研究-券商金工研报复现
luhongkai/RL-Stock
📈 如何用深度强化学习自动炒股
luhongkai/stock_deeplearning
this project is developing to get stock day trade data, back test trade strategy and used deep-learning to train stock base on tensorflow
luhongkai/tdx_func
luhongkai/trading-system-and-methods
python implemented function, indicator, strategies of TSM book (trading-system-and-mehotds)
luhongkai/trading_platform
Tool for developing, testing and trading strategies.
luhongkai/tradingview_pinescript
luhongkai/XTX_Challenge
Models and programs developed as part of XTX Forecastin Challenge 2019
luhongkai/XTXForecastingChallenge
luhongkai/ZFJPyMix
网上有很多混淆的方法和技术，混淆都是为了增加代码的阅读难度；还有就是加密了，最基本的方法是发布pyc文件, 也就是将所有的.py源文件转换成pyc对外发布；还有一种方案是方案是借助cython. cython可以将python文件转换成c, 并编译成pyd文件；这里我们主要讲的是通过ZFJPyMix来混淆Python源码，以达到增加代码的阅读难度的目的！