You can use this simple crypto backtesting script to ensure your trading strategy is successful Minimal setup required and works well with static TP and SL strategies. Trailing Stop Loss could imporove profitability if added.
For a detailed guide on how to set this up go to the main guide You can use this to determine how profitable your Binance Volatility bot is
SpamBot9000 Spam your friends and family and when you do your family will disown you and you will have no friends. Terms of Use Disclaimer: Please onl
Project setup For project setup see INSTALL.rst Community Join the community to stay updated on the most recent developments, project roadmaps, and ra
PyGAS: Auto-Scaling GNNs in PyG PyGAS is the practical realization of our G NN A uto S cale (GAS) framework, which scales arbitrary message-passing GN
Accommodating supervised learning algorithms for the historical prices of the world's favorite cryptocurrency and boosting it through LightGBM.
A two-stage U-Net for high-fidelity denoising of historical recordings Official repository of the paper (not submitted yet): E. Moliner and V. Välimäk
Softlearning Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains. The implementation is
mercury-db This is a File Based Key-Value Datastore that supports basic CRUD (Create, Read, Update, Delete) operations developed using Python. The dat
This is the repository for our 2020 paper "Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis". Data We provide
Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture
From what I can see it still has trading for 1 coin ie if backtesting on ETH, each trade will be 1ETH in size trade_size = 1
Needs to be for a total amount. So if the account balance is $100,000 each trade could be lets say $5k. When coin price fluctuates the gains are skewed.
TradzQAI Trading environnement for RL agents, backtesting and training. Live session with coinbasepro-python is finaly arrived ! Available sessions: L
AutoTrader AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. From sim
Models Playground ??️ Upload a Preprocessed Dataset ?? Choose whether to perform Classification or Regression ?? Enter the Dependent Variable ?
GuidEye A python software that can help blind people find things like laptops, phones, etc the same way a guide dog guides a blind person in finding h
Automatically download the cwru data set, and then divide it into training data set and test data set.自动下载cwru数据集，然后分训练数据集和测试数据集
What is nnDetection? Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of hi
YAMLImg A way to store images in YAML. I made this after seeing Roadcrosser's JSON-G because it was too inspiring to ignore this opportunity. Installa
...Minimizing the mean square error on future experience. - Richard S. Sutton BTGym Scalable event-driven RL-friendly backtesting library. Build on
Certis - Backtesting For y'all Certis is a powerful, lightweight, simple backtes
TradingView Machine Learning TradeView is a free and open source Trading View bot written in Python. It is designed to support all major exchanges. It
0 Jun 9, 2022
27 Jul 8, 2022
139 Dec 25, 2022
1 Nov 27, 2021
57 Jan 5, 2023
997 Dec 30, 2022
1 Jan 9, 2022
35 Nov 16, 2022
234 Nov 5, 2022
164 Oct 30, 2022
485 Jan 9, 2023
19 Dec 10, 2022
0 Aug 9, 2022
6 Jun 27, 2022
365 Jan 9, 2023
5 Mar 14, 2022
922 Dec 27, 2022
46 Oct 30, 2022
473 Jan 9, 2023