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Options-Trader.app VS CloudQuant

Compare Options-Trader.app VS CloudQuant and see what are their differences

Options-Trader.app

Rule-based long call and put setups for your watchlist

Rating
0 reviews
Pricing
Freemium $4.99 / Monthly
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CloudQuant

Crowd based algorithmic trading development and backtesing for stock market trading.

Rating
0 reviews
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NAS Ledger
NAS Ledger combines Free core accounting with paid budgeting, inventory, project, payroll and multi-entity consolidation tools. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Stock Research popularity
100% vs 0%
alternatives listed
14 vs 44

Base details

Website, pricing, platforms and company facts side by side.

Options-Trader.app
CloudQuant
Website options-trader.app cloudquant.com
Pricing
Freemium $4.99 / Monthly Official pricing
—
Platforms
Windows Mac
—
Company Startup from Germany · 2026 —
Listed in
Stock Charts Stock Analysis Options Trading Stock Options Options Option Chain Stock Market Stock Research Stock Screener Stock Market Analysis +7
Development Finance Tool Investing +1

About Options-Trader.app and CloudQuant

In their own words, as submitted to SaaSHub.

Options-Trader.app
CloudQuant

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...

Read more about Options-Trader.app

No description of CloudQuant yet.

Features and specs

What each product offers, as listed by its team.

Options-Trader.app 4 features
CloudQuant 4 features
  • Scores and Ratings
    1–5 score with the reasons behind it, for swing (10–20 days) and short-term (1–5 days)
  • Watchlist Screening
    freely configurable watchlist: any US stock or ETF
  • Options screeners
    Real implied volatility from the option chain, IV rank, IV percentile and IV / HV
  • Stock News
    Live news headlines classified into the score
  • Data Variety
    CloudQuant provides access to a wide range of alternative datasets, enabling users to explore diverse data sources for more informed trading strategies.
  • Backtesting Features
    The platform offers robust backtesting tools, which allow users to test their trading algorithms under historical market conditions to evaluate their performance.
  • Collaborative Environment
    CloudQuant fosters a collaborative environment where users can share strategies and insights with a community of other developers and traders.
  • Python-Based
    The platform supports Python programming, which is popular among developers for its simplicity and extensive library support, making it accessible for quantitative research.

Possible disadvantages

  • Learning Curve
    New users may face a steep learning curve, particularly if they are unfamiliar with quantitative analysis or programming, which can be a barrier to entry.
  • Cost
    Accessing advanced features or specific datasets on CloudQuant may incur significant costs, which could be prohibitive for individual traders or small firms.
  • Dependence on Internet
    As with any cloud-based platform, using CloudQuant requires a reliable internet connection, which can be a limitation in areas with unstable connectivity.
  • Complexity for Beginners
    The complexity of the platform might overwhelm beginners who might find it challenging to navigate the advanced features without prior experience or guidance.

Videos

Walkthroughs and reviews on video.

Options-Trader.app 0 videos + Add
CloudQuant 2 videos + Add

No Options-Trader.app videos yet. You could help us improve this page by suggesting one.

Advanced 1 - CloudQuant presentation for the University of Chicago Financial Program

More videos

  • - SMB Quant (002): “Democratization of Trading” with Paul Tunney from CloudQuant

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Options-Trader.app
CloudQuant
100% 100%
Stock Research
0% 0%
0% 0%
Finance
100% 100%
100% 100%
Options Trading
0% 0%
0% 0%
Tool
100% 100%

Questions & Answers

As answered by people managing Options-Trader.app and CloudQuant.

How would you describe the primary audience of your product?

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.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

What's the story behind your product?

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.

Which are the primary technologies used for building your product?

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.

User comments

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