Azrulfy's repositories

data_server

Exposes MT4 data to web.

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Finance

Nonlinear autoregressive neural network training scripts for MATLAB also generating predictions in Metatrader in realtime.

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SharkStock

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement learning algorithm. We implement a sentiment analysis model using a recurrent convolutional neural network to predict the stock trend from the financial news. The objective of this paper is not to build a better trading bot, but to prove that reinforcement learning is capable of learning the tricks of stock trading.

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AlgorithmicTrading

Select a supervised algorithm that can predict stock prices of historical data based on the predictors (statistical indicators). Accordingly formulate a trading strategy based on predicted values to generate orders on same historical training set to backtest how much portfolio would have increased. Select the combination of Machine learning algorithm and Trading strategy to maximize gain for future orders placed automatically via the program.

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ANN-Trader-MetaTrader

Trading system with Artificial Neural Network. Built with Matlab for MetaTrader 5

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BitcoinTradingAlgorithmToolkit

A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks.

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deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

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Forex-app

Learning platform to learn about Forex trading.

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Logistic-Regression-to-Predict-the-SP500

(Python) Logistic regression to predict the S&P 500 using Python

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LSTM-GA-StockTrader

A trading bot that utilizes a Long Short Term Memory (LSTM) Neural Network and other analysis methods

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lstm_stock_prediction

This is an LSTM stock prediction using Tensorflow with Keras on top.

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MQL4-Command

A module for using the Windows cmd command with MQL4 programming.

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mql4zmq

MQL4 bindings for ZeroMQ

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MT4toExcel

A library for MQL4 to use to send data to, and read from, Microsoft Excel.

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MT4toMySQL

MT4 to MYSQL indicator

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Multilabel-timeseries-classification-with-LSTM

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

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NinjaTrader-BidAskMarketProfile

(C#) An interesting enhancement is adding the bid and ask size differential horizontally next to each candlestick. The idea is easy to grasp, when excessive offers overcome bids, the price tends to fall, and, in the opposite scenario, rise. This is obvious on the quote monitor but tedious to follow. Displaying it on the chart is clear and may enhance existing trading systems.

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NinjaTrader-Custom-Buttons

(C#) For the semi-discretionary trader, there is a feature lacking in NinjaTrader which is easily remedied with a little C# code: customizable buttons to trigger strategies. If you watch the charts to initiate a trading decision but use complex entry, positioning and stop methodology, being able to trigger a strategy manually may be of great use. For example, you can create two buttons tied to a dynamic strategy that buys a tick above the high or sells a tick below the low of the last closed bar. Before sending out the order, you can calculate the size dynamically according to the market, buying power, and/or size of the signal bar. Caution! This code will send orders in NT, do not use if you don't know what you are doing!! This is as is, the risk is yours.

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Object-Detection

Leverage TensorFlow's object detection with Watson Visual Recognition

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OpenTrader

OpenTrader

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OTMql4Fix

Open Trading Metaquotes4 FIX Bridge

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OTMql4Py

Open Trading Metatrader 4 Python Integration

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py-metatrader

metatrader library for metatrader

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ShadowRecord

Create and manage virtual trade records.

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signum

forex signals

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StockPredictionRNN

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

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