Maybe (treper)

treper

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Location:Shanghai

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Maybe's repositories

Adv_Fin_ML_Exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

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adv_finance

Implementation of AFML Book

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advances_in_financial_machine_learning

the questions in 'Advances in Financial Machine Learning' by Lopez de Prado

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ark_etf

Analyze ark etf portfolio

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BERT-pytorch

BERT 源码阅读

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binance-public-data

Details on how to get Binance public data

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capstone_nf

Capstone project: neue fische Data Science Bootcamp (winter 2019)

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chart-visualizer

Chart visualizer in line with advice from 'The Art and Science of Technical Analysis'. Starts off as simple Jupyter testing with apis, then writing python document, then creating Java project for GUI.

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ComiRec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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DeepCTR-Torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

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DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

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Finance

Notebooks based on financial machine learning.

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freqtrade

Free, open source crypto trading bot

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kronos-competition

隊名:最強的沒來

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lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

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mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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OptionsAnalyzer

Visualize Option Data in Python. Makes market activity easier to understand through heat-maps and interactive 3D bar graphs.

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pysystemtrade

Systematic Trading in python

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qc-smart-beta-strategies

Repo for the Smart Beta strategies written for the QuantConnect platform

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qc-tick-data-strategies

Repo for the Tick Based Trend Following strategies written for the QuantConnect platform

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quant-trading

Python quantitative trading strategies including MACD, Pair Trading, Heikin-Ashi, London Breakout, Awesome, Dual Thrust, Parabolic SAR, Bollinger Bands, RSI, Pattern Recognition, CTA, Monte Carlo, Options Straddle

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real_trader

python版本A股实时交易 实时tick数据 + 实盘接口 中泰证券下单/实时tick数据/历史行情数据/实时交易 聚宽JoinQuant策略语法兼容

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research

Contains all the Jupyter Notebooks used in our research

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retail-investor-strategies

Repo for code used to perform research for the WorldQuant University MScFE Capstone project on "Application of algorithmic trading strategies for retail investors"

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Stock_feature_engineering

Created a continuous, homogeneous, and structured 10 GB dataset from self obtained collections of unstructured intraday financial data. Generated features from indicators, statistics, and recent factors. Used multi-disciplined analysis to find feature importance. Attached labels of trends and stop/hold positions for machine learning. Used machine l

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UnusualVolumeDetector

Gets the last 5 months of volume history for every ticker, and alerts you when a stock's volume exceeds 10 standard deviations from the mean within the last 3 days

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volatility-trading

A complete set of volatility estimators based on Euan Sinclair's Volatility Trading

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