
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Cryptohopper
3commas
Coinrule
TradeSanta
Bitsgap
Pionex
HaasOnline
Trality
Plotly
CryptohopperPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Cryptohopper 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, Plotly seems to be a lot more popular than Cryptohopper. While we know about 34 links to Plotly, 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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: over 3 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
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
3commas - 3commas.io provides tools for cryptocurrency traders and investors.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Coinrule - Coinrule empowers traders to compete with professional algorithmic traders and hedge funds.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.