Azrulfy's repositories

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metatrader-proxy-terminal

MT4 proxy terminal can be used for protection of Expert, Indicators and Scripts as well as for multi-timeframe testing and signals distribution

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agent-multi

Automated trading agent for an OpenAI Gym enviroment with multiple simultaneous trading of symbols(currency pairs) using separate action and observation timeseries.

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ai_news_writer

The primary purpose of this project is to create a news aggregator that gathers headlines and summaries announcements, news, and trending information about artificial intelligence and other cool technology stuff. After it has collected the articles and announcements, I would like it to generate a summary giving the highlights of that week's news. Ideally, after it has collected and summarized the information, I would like to generate a script based on the summaries and hopefully do a weekly online show discussing the happenings and other current events. Additionally, this is an exercise in for me to learn Cookiecutter, Git, ReadTheDocs, and Travis.CI. I have primarily worked with TFS, SVN, and Jenkins for CI. This will be a big learning experience for me. I'm ready to bang my head against my desk and learn everything I can.

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backtrader-binance-bot

:money_with_wings: A example of bot using Backtrader to trade Bitcoins in Binance Exchange.

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DarwinexLabs

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

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DeepLearning

Projects related to deep learning area

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deeptrading-tfserving-python

Tensorflow serving client implementation for trading.

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dl-algo-trader

Training an Agent to make automated trading decisions in a simulated stochastic market environment using Reinforcement Learning or Deep Q-Learning

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dwx-zeromq-connector

Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.

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Forex-and-Stock-Python-Trade-Model

Trend trading model in the financial market using machine learning algorithms. The machine learning algorithm predicts the result of the transaction of the base trading model and predicts the price of the next timeframe.

Language:HTMLLicense:GPL-3.0Stargazers:0Issues:1Issues:0

Hedge-Fund-stock-market-analysis

Developed a deep learning model that allows trading firms to analyze large patterns of stock market data and look for possible permutations to increase returns and reduce risk. Trained the model using a Multilayer Perceptron Neural Network on a vast set of features that influence the stock market indices. Performed technical analysis using historical stock prices and fundamental analysis using social media dat

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informer

A Telegram Mass Surveillance Bot in Python

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IntroNeuralNetworks

Introducing neural networks to predict stock prices

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keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

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Learn-Website-Hacking-Penetration-Testing-From-Scratch

Learn Website Hacking / Penetration Testing From Scratch, published by Packt

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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

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Metatrader

Expert advisors, scripts, indicators and code libraries for Metatrader.

License:GPL-3.0Stargazers:0Issues:0Issues:0

metatrader-1

My personnal trading tool, including indicators and robots (execution and stats)

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ML-Finance

Calculate technical indicators from historical stock data Create features and targets out of the historical stock data. Prepare features for linear models, xgboost models, and neural network models. Use linear models, decision trees, random forests, and neural networks to predict the future price of stocks in the US markets. Evaluate performance of the models in order to optimize them Get predictions with enough accuracy to make a stock trading strategy profitable.

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ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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nafi

DeepRL para Forex Trading

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NinjaTrader8_UnitTests

Experiment to devise a means to unit test NinjaScript (https://ninjatrader.com/support/helpGuides/nt8/en-us/ninjascript.htm)

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Preconfigured-Mt4-Python-Trading-Enviroment-

Preconfigured Mt4 & Python Trading Enviroment

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Python

All Algorithms implemented in Python

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react-native-signal

A React Native app for sending Forex Signal

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reading-notes-ml

Progress, Notes, Summaries and a lot of Questions on Machine Learning

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RoffildLibrary

Library for MQL5 (MetaTrader) with Python, Java, Apache Spark, AWS

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vsc-nt8-snippets

Ninja Trader 8 snippets for Visual Studio Code

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you-get

:arrow_double_down: Dumb downloader that scrapes the web

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