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OptionCharts.io
Rule-based long call and put setups for your watchlist

D3.js
RAWGraphs
Tableau
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Highcharts
Bokeh
Chart.js
Low-Code Data Apps

Which is more popular?
Based on our record, Plotly seems to be more popular. It has been mentioned 34 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | options-trader.app | plotly.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Germany · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Options Trader Pro is a desktop screener for traders who buy calls and puts. It checks every stock and ETF on your watchlist with the same rules: trend, momentum, trend strength, IV rank, IV compared with realized volatility, upcoming earnings and recent headlines. The result is one score from 1...
No description of Plotly yet.
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Options-Trader.app yet.
Overall verdict
Why this product is good
Recommended for
Plotly 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.
Walkthroughs and reviews on video.
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Create Real-time Chart with Javascript | Plotly.js Tutorial
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Options-Trader.app and Plotly.
Options-Trader.app's answer
Private traders who buy calls and puts on US stocks and ETFs, with holding periods from a few days to about three weeks. Typically they already know what IV rank and delta are, and they want a consistent daily check of their watchlist instead of clicking through dozens of charts. Many use Interactive Brokers, but it isn’t required.
Options-Trader.app's answer
It shows the reasons behind every result. Each stock or ETF on your watchlist gets a score from 1 to 5 and LONG CALL, LONG PUT or WAIT, and the app lists why. The rules are fixed and explained on a public methodology page. Implied volatility comes from the option chain, and the app tells you when a name has no option IV instead of quietly using historical volatility. It only shows bought options, so the risk of every setup is limited to the premium. And it runs as a desktop app on your own computer, not as a web account.
Options-Trader.app's answer
Most options tools are either flow and data platforms that leave the interpretation to you, or signal services that don’t explain where a signal comes from. Options Trader Pro sits in between. It runs the same checks on every name each day and shows a rule-based example setup with strike, expiry, target and stop, next to the reasons that led to it. You decide whether to trade. It costs €4.99 a month, works with free delayed data, and connects read only to Interactive Brokers if you want real-time quotes and Greeks. It does not suit traders who sell options or need a strategy builder for spreads.
Options-Trader.app's answer
I’m an engineer from Germany and trade options privately. My account only allows bought options, and I wanted the same check of my watchlist every morning, by the same rules, instead of deciding by gut feeling. So I built a dashboard for my Interactive Brokers account. Over time it got good enough that I turned it into an app for Mac and Windows. I still log the signals of my own dashboard and fix what doesn’t hold up.
Options-Trader.app's answer
Python with Flask for the local backend, pandas and NumPy for the indicators, and yfinance for the free market data. The optional real-time connection uses the Interactive Brokers TWS API. The interface is plain HTML and JavaScript with Chart.js. The app is packaged with PyInstaller for macOS and Windows, and the Windows build runs on GitHub Actions. Licences and payments go through Stripe.
Share your experience with using Options-Trader.app and Plotly. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering...
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data...
Recommendations tracked on public social media and blogs since March 2021.


Tracking Options-Trader.app since Oct 2026.
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 / 8 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... - Source: dev.to / almost 2 years ago
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