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algotrading--double-bottom-trader

The Double Bottom pattern in financial markets trading is one of the most well-known technical chart patterns that is, however, highly subjective and irregular and hence, is not typically preferred by algo traders due to the unambiguous nature of double bottom patterns. Interestingly, the amount of literature on the topic of identifying such patterns has so far remained very scarce, despite this pattern arguably having a much stronger predictive power than technical indicators in general. As a consequence, most traders who publish their trading methodology continue to identify chart patterns such as the double bottom by means of visual inspection. In this project, I attempted to create a robust solution with the possibility to identify double bottom chart patterns in real time and initiate buy orders on a wide selection of markets using the Python API of the MetaTrader trading software.

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

c-lessons

candlestick_rl

This code is designed to predict stock prices using the A3C algorithm. The algorithm takes a desktop screenshot every 5 minutes, identifies the stock prices in the image as a candlestick chart using a CNN, makes decisions using a DNN, and predicts the direction and magnitude of future bars.

ddpg_numpy_only

Implemenation of DDPG with numpy only (without Tensorflow)

deep-reinforcement-learning-in-trading

deep_reinforcement_learning_course

Implementations from the free course Deep Reinforcement Learning with Tensorflow

hakanfire

Config files for my GitHub profile.

homeharvest

Python package for real estate scraping of MLS listing data

ideal

iDeal Terminal Dosyaları

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

lstm_stock_prediction

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

pedlar

Algorithmic Trading Platform for Python

product-planning-with-rl

reinforcement-learning-stanford

🕹️ CS234: Reinforcement Learning, Winter 2019 | YouTube videos 👉

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

UCB reinforcement learning and advantage learning codes

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

spinningup

An educational resource to help anyone learn deep reinforcement learning.