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Ali H. Askar's Projects

cryptocurrencytrader icon cryptocurrencytrader

A machine learning program in python to generate cryptocurrency trading strategies using deep reinforcement learning on price. Keras and Tensorflow.

cryptoetf icon cryptoetf

Portfolio Overview Tool for Your CryptoCoin Capitalization-Weighted Portfolio.

cryptoexchange icon cryptoexchange

Ruby library to query market data from cryptocurrency exchanges (https://www.coingecko.com)

cryptofeed icon cryptofeed

Cryptocurrency Exchange Websocket Data Feed Handler

cryptofeed-werks icon cryptofeed-werks

🔌 WebSocket subclasses, and experiments, for data from cryptocurrency exchanges

cryptoscalping icon cryptoscalping

High Performance Crypto Scalping Infrastructure and Market Making Engine Developed in Go.

cryptotracker icon cryptotracker

A complete open source system for tracking and visualizing cryptocurrency price movements on leading exchanges

cryptoview icon cryptoview

Elegant portfolio management for multi-exchange traders

cryptoviz icon cryptoviz

A web-based Depth-Of-Market visualization for data of the Poloniex cryptocurrency exchange.

darwinexlabs icon darwinexlabs

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex (www.darwinex.com)

dash icon dash

Interactive, Reactive Web Apps for Python. Dash Is Productive™

data-science-ipython-notebooks icon data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-notebooks icon data-science-notebooks

Jupyter notebooks accompanying the financial-data-science repo: contains code examples and results output

defi-developer-road-map icon defi-developer-road-map

DeFi Developer roadmap is a curated Ethereum Developer handbook which includes a list of the best tools for DApps, development resources and lifehacks.

detect-hft-traders-machine-learning- icon detect-hft-traders-machine-learning-

This work is part of a challenge of the French Financial Markets Authority organized by the Ecole Normale Supérieure, whose goal is to build a machine learning model for the detection of high frequency traders. Beyond a good model with a maximum score of true positives, the goal is to define the major variables that make the difference between HFT, Non HFT and MIX

diagrams icon diagrams

:art: Diagram as Code for prototyping cloud system architectures

distributedats icon distributedats

DistributedATS is a FIX Protocol based Alternative Trading System(CLOB) that integrates QuickFIX and LiquiBook over OpenDDS

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