cryptocurrency-price-prediction VS machine-learning-for-trading

Compare cryptocurrency-price-prediction vs machine-learning-for-trading and see what are their differences.

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cryptocurrency-price-prediction machine-learning-for-trading
2 224
555 11,750
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0.0 1.1
over 1 year ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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cryptocurrency-price-prediction

Posts with mentions or reviews of cryptocurrency-price-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.
  • Help with Jupyter notebook for crypto price prediction
    2 projects | /r/learnpython | 4 Mar 2021
    Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.

machine-learning-for-trading

Posts with mentions or reviews of machine-learning-for-trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

What are some alternatives?

When comparing cryptocurrency-price-prediction and machine-learning-for-trading you can also consider the following projects:

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

SDV - Synthetic data generation for tabular data

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Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

zero-to-mastery-ml - All course materials for the Zero to Mastery Machine Learning and Data Science course.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook