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-chanlun

缠论量化，人类历史上第一个数学上可以严格证明的技术分析策略，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，需要技术合作的加微信17866148858，备注"github"。本人可以解决有关缠论的任何问题。 缠论的难点在于，同级别分解如何分解，同级别分解的多义性，背驰力度的计算，小转大卖点的处理，跳空等极端走势对走势划分的影响，卖点比买点级别小的把握，中枢震荡的操作，如何规避T+1,等等。

1st

2018hcintern

This Repo is for the 2018 Hyundai Card Internship Program

996quant

35岁程序员退路之量化投资学习笔记

a-introduction-to-reinforcement-learning

RL library based on algorithms from the book <A-introduction-to-reinforcement-learning>

a-reinforcement-learning-algorithm-for-optimal-order-execution-problems

a3c_trading

Trading with recurrent actor-critic reinforcement learning

acid

A high performance fiber RPC network framework. 高性能协程RPC网络框架

acn

Redirection of ACNet repo.

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

adaptivesfm

Adaptive State-Frequency Memory Recurrent Neural Network

adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

adv-spec-ker-matching

Code for our paper Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021

advanced-deep-trading

Mostly experiments based on "Advances in financial machine learning" book

advanced-forecasting-of-stock-prices-with-lstm-networks-with-attention-based-mechanisms

Colab Notebooks containing all the code for my MSc Artifical Intelligence degree from St Andrews

advanced_algo_trading

adversarial-ae-lstm

Using adversarial training to improve forecasts of data-driven surrogate models

adversarial-conv-lstm

Implementation of an adversarial Conv-LSTM model for detection of plasma states and cross-machine domain adaptation

adversarial_conv_lstm

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

ai-algorithm

用Python实现神经网络与遗传算法

ai-playground

ai-quant-lab

researchs in the fields of artificial intelligence and quantitative finance

ai4t-deeplob

ai4water

framework for developing machine (and deep) learning models for structured data

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aiops-learning-resources

收集AIOPS（智能运维），时间序列，异常检测，关联分析，告警收敛，根因分析，数据挖掘，机器学习，深度学习的学习资源。欢迎star。

aioquant

Asynchronous event I/O driven quantitative trading framework.

ait_trading_algorithms

Alpha Factors and Trading Algorithms on Quantopian created by Philip Kiely, Richard Greenbaum, Rudolph Hernandez, and Alex Foster for our Data Mining final project.