MasTrade is a trading bot in baselines3,pytorch,gym

Last update: May 24, 2022

Related tags

Overview

mastrade

MasTrade is a trading bot in baselines3,pytorch,gym

idea

we have for example 1 btc and we buy a crypto with it with market option to trade in fastest speed so we fastly swich to USDT and again to another unstable currency. we never will not be on stable quot coin(USDT) we just use it to reach to the other unstable coin or rope! and trying to swim and dive inside the charts think about the agent as a monkey that jumping on ropes and try to go upeer and upper also in each epoch we update the charts with a value that we will have in btc if we buy it

#jff

an small talking with my bro:

bro your actions space are fucking big.reduce it to -1:sell, 0:hold, 1:buy,
yes cuz its an idea to solve the complexity of trading and see the whole process of selling, searching the best other pair, and buying, as a dot as a one jump

Owner

Masoud Azizi

Freelancer. Python, Django, Java, PHP,

GitHub Repository

NumPy-based implementation of a multilayer perceptron (MLP)

My own NumPy-based implementation of a multilayer perceptron (MLP). Several of its components can be tuned and played with, such as layer depth and size, hidden and output layer activation functions,

1 Feb 10, 2022

2D fluid simulation implementation of Jos Stam paper on real-time fuild dynamics, including some suggested extensions.

Fluid Simulation Usage Download this repo and store it in your computer. Open a terminal and go to the root directory of this folder. Make sure you ha

5 Dec 02, 2022

A Python library for choreographing your machine learning research.

270 Jan 06, 2023

🤖 ⚡ scikit-learn tips

🤖 ⚡ scikit-learn tips New tips are posted on LinkedIn, Twitter, and Facebook. 👉 Sign up to receive 2 video tips by email every week! 👈 List of all

1.6k Jan 03, 2023

Upgini : data search library for your machine learning pipelines

Automated data search library for your machine learning pipelines → find & deliver relevant external data & features to boost ML accuracy :chart_with_upwards_trend:

175 Jan 08, 2023

Mesh TensorFlow: Model Parallelism Made Easier

Mesh TensorFlow - Model Parallelism Made Easier Introduction Mesh TensorFlow (mtf) is a language for distributed deep learning, capable of specifying

1.3k Dec 26, 2022

Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen.

SmartMeterEVN Dieses Projekt ermöglicht es den Smartmeter der EVN (Netz Niederösterreich) über die Kundenschnittstelle auszulesen. Smart Meter werden

43 Dec 04, 2022

XManager: A framework for managing machine learning experiments 🧑‍🔬

XManager is a platform for packaging, running and keeping track of machine learning experiments. It currently enables one to launch experiments locally or on Google Cloud Platform (GCP). Interaction

620 Dec 27, 2022

Backtesting an algorithmic trading strategy using Machine Learning and Sentiment Analysis.

Trading Tesla with Machine Learning and Sentiment Analysis An interactive program to train a Random Forest Classifier to predict Tesla daily prices us

31 Nov 17, 2022

Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared

Feature-Engineering Required for a machine learning pipeline data preprocessing and variable engineering script needs to be prepared. When the dataset

5 Apr 21, 2022

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions.

Convoys is a simple library that fits a few statistical model useful for modeling time-lagged conversions. There is a lot more info if you head over to the documentation. You can also take a look at

240 Dec 26, 2022

The code from the Machine Learning Bookcamp book and a free course based on the book

5.5k Jan 09, 2023

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

sklearn-porter Transpile trained scikit-learn estimators to C, Java, JavaScript and others. It's recommended for limited embedded systems and critical

1.2k Jan 05, 2023

Python module for data science and machine learning users.

dsnk-distributions package dsnk distribution is a Python module for data science and machine learning that was created with the goal of reducing calcu

1 Nov 23, 2021

Educational python for Neural Networks, written in pure Python/NumPy.

127 Oct 27, 2022

Firebase + Cloudrun + Machine learning

A simple end to end consumer lending decision engine powered by Google Cloud Platform (firebase hosting and cloudrun)

8 Aug 16, 2022

MLBox is a powerful Automated Machine Learning python library.

MLBox is a powerful Automated Machine Learning python library. It provides the following features: Fast reading and distributed data preprocessing/cle

1.4k Jan 06, 2023

Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.

Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led

2 Jan 18, 2022

Dual Adaptive Sampling for Machine Learning Interatomic potential.

DAS Dual Adaptive Sampling for Machine Learning Interatomic potential. How to cite If you use this code in your research, please cite this using: Hong

6 Jul 06, 2022

Scikit-learn compatible wrapper of the Random Bits Forest program written by (Wang et al., 2016)

sklearn-compatible Random Bits Forest Scikit-learn compatible wrapper of the Random Bits Forest program written by Wang et al., 2016, available as a b

8 Jul 24, 2021