Pinned Repositories
after-hours
Obtain pre market and after hours stock prices for a given symbol
ai_quant_trade
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
android-architecture
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.
DeepTrade
A LSTM model using Risk Estimation loss function for stock trades in market
Halcon_licenses
Halcon licenses activation
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
MyQuant
我的量化交易学习实践代码
OTGUninstallApps
Using Android device to uninstall iPhone apps
THESIS-MS-Asset-Price-Forecast
This repository is dedicated to my master thesis, in which I forecast Goldman Sachs and General Electric stock prices.
zipline-cn
port zipline to support china stock
chforest's Repositories
chforest/zipline-cn
port zipline to support china stock
chforest/Halcon_licenses
Halcon licenses activation
chforest/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
chforest/OTGUninstallApps
Using Android device to uninstall iPhone apps
chforest/ai_quant_trade
股票AI操盘手：从学习、模拟到实盘，一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等，可以方便学习、模拟及实盘交易
chforest/aid
Authorize ios device ,实现爱思助手一样安装app
chforest/Attention-CLX-stock-prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
chforest/apple-private-apis
A set of Rust libraries to interact with apple's private APIs and servers.
chforest/catboost
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
chforest/darts
A python library for easy manipulation and forecasting of time series.
chforest/deep-learning-time-series-forecasting
chforest/easy_handeye
Automated, hardware-independent Hand-Eye Calibration
chforest/grl
Robotics tools in C++11. Implements soft real time arm drivers for Kuka LBR iiwa plus V-REP, ROS, Constrained Optimization based planning, Hand Eye Calibration and Inverse Kinematics integration.
chforest/handeye_calibration
Script for robot hand eye calibration
chforest/HandEyeCalibration-using-OpenCV
Simple opencv implementation for handeye calibration
chforest/iDebugTool
The cross platform iOS debugging tool project inspired by Console on MacOS. This project is libimobiledevice wrapper Qt C++ based with more advanced features in future.
chforest/IOS13-SimulateTouch
iOS Automation Framework iOS Touch Simulation Library
chforest/iOSAuthRuntime
iOS Authorize runtime
chforest/iPatch
GUI tool to inject dynamic libraries into IPA files
chforest/ipatool
Command-line tool that allows searching and downloading app packages (known as ipa files) from the iOS App Store
chforest/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
chforest/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
chforest/patchcore-few-shot
Implementation of our paper "Optimizing PatchCore for Few/many-shot Anomaly Detection"
chforest/PythonQuantitativeFinance
专注于分享Python在金融领域的应用，欢迎关注微信公众号: Python金融量化 （id：tkfy920）
chforest/Stock-market-forecasting
Forecasting directional movements of stock prices for intraday trading using LSTM and random forest
chforest/Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
chforest/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
chforest/ultralytics_yolov8
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
chforest/yt
My YouTube tutorial codes
chforest/zvt
modular quant framework.