
Cryptohopper
3commas
Coinrule
TradeSanta
Bitsgap
Pionex
HaasOnline
Trality
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
Clarifai
MLKit
DeepPy
CryptohopperCryptohopper is recommended for cryptocurrency traders who are looking to automate their trading strategies. It is suitable for beginner traders who want to learn and experiment with automation in a risk-free environment as well as for experienced traders seeking advanced tools and customization to enhance their trading performance.
Profitable Trading Bot
Based on our record, Keras seems to be a lot more popular than Cryptohopper. While we know about 35 links to Keras, we've tracked only 3 mentions of Cryptohopper. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Hello fellow crypto investors. I created a video of my crypto trading bot. It took me some time to set it up. If you are using cryptohopper.com and ftx.us , check out my setup. If you have a better Strategy and Signals (Free and/or Paid), please message me and let me know what your setup is so I can try it out and record metrics. Here is mine:. Source: almost 4 years ago
Cryptohopper -- 10-15% Recurring Commission -- https://cryptohopper.com -- Cryptocurrency. Source: about 4 years ago
There is a big bug in the arbitrage bot on cryptohopper.com and a shameless answer from the company. Source: over 4 years ago
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / over 1 year ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / almost 2 years ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / almost 2 years ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / about 2 years ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / over 2 years ago
3commas - 3commas.io provides tools for cryptocurrency traders and investors.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Coinrule - Coinrule empowers traders to compete with professional algorithmic traders and hedge funds.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
TradeSanta - Trade Santa is a cloud software platform that automates crypto trading strategies. Cryptocurrency trading bots are available for Binance, Huobi, Upbit, Bittrex, Bitfinex, and Hitbtc.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.