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CloudQuant VS ChartSays

Compare CloudQuant VS ChartSays and see what are their differences

CloudQuant

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

Rating
0 reviews
Alternatives Is it good?
ChartSays

Browser-based statistics for quality engineering

Rating
0 reviews
Pricing
Freemium $14.9 / Monthly (Free $0 watermarked, no AI; $14.90/mo or $129/yr AI)
Alternatives Is it good?
Finsepa
Bring your portfolios together, understand what drives your returns, and track your progress toward your goals — with research tools to explore every investment further. 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?

Finance popularity
100% vs 0%
alternatives listed
39 vs 3

Base details

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

CloudQuant
ChartSays
Website info.cloudquant.com chartsays.com
Pricing —
Freemium $14.9 / Monthly (Free $0 watermarked, no AI; $14.90/mo or $129/yr AI) Official pricing
Platforms —
Web SaaS
Listed in
Development Finance Tool Investing +1
Data Analysis Data Visualization Business Intelligence Quality Management Statistics +2

About CloudQuant and ChartSays

In their own words, as submitted to SaaSHub.

CloudQuant
ChartSays

No description of CloudQuant yet.

ChartSays is a browser-based statistics platform for practical data analysis. Public tools include Cpk process capability, I-MR control limits, and balanced crossed Gage R&R calculations. Published sample reports cover comparisons, Pareto analysis, designed experiments, forecasting, and...

Read more about ChartSays

Features and specs

What each product offers, as listed by its team.

CloudQuant 4 features
ChartSays 5 features
  • 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.
  • Fast chart interpretation
    As I understand it, ChartSays uses AI to analyze trading charts and return a summary of trends, patterns, and key levels. This can save time compared with annotating charts by hand, especially for people who review many charts. I could not browse the site, so check the exact features there.
  • Beginner-friendly explanations
    Plain-language readouts of chart patterns and price action can help newer traders learn what they are looking at. It can work as a learning aid alongside their own study of technical analysis.
  • Simple workflow
    A tool built around uploading or submitting a chart and getting an analysis back typically has a low barrier to entry. Users usually need no complex setup, coding, or indicator configuration.
  • Second opinion for trade ideas
    The analysis can serve as an objective cross-check on your own read of a chart. It may surface patterns, support and resistance zones, or scenarios you overlooked, which can reduce some personal bias.
  • Works across markets and timeframes
    Chart-based analysis can generally be applied to stocks, crypto, forex, and other assets on different timeframes. This makes one tool useful for traders who follow several markets.

Videos

Walkthroughs and reviews on video.

CloudQuant 2 videos + Add
ChartSays 0 videos + Add

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

More videos

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

No ChartSays videos yet. You could help us improve this page by suggesting one.

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
CloudQuant
ChartSays
100% 100%
Finance
0% 0%
0% 0%
Statistics
100% 100%
100% 100%
Tool
0% 0%
0% 0%
Business Intelligence
100% 100%

Questions & Answers

As answered by people managing CloudQuant and ChartSays.

How would you describe the primary audience of your product?

ChartSays's answer:

We help operate ChartSays. It is designed for quality engineers, Six Sigma practitioners, and analysts who need to turn measurement data into understandable statistical results in a browser. Typical tasks include checking process capability with Cpk, monitoring individual measurements with I-MR control charts, and organizing a balanced crossed Gage R&R study using part, operator, trial, and measurement data. Worked sample reports help users inspect how results are presented and what needs care in interpretation. These are intended use cases, not a claim about current customers or a substitute for a correctly designed study. Explore the tools and sample reports at https://chartsays.com/.

What's the story behind your product?

ChartSays's answer:

ChartSays is an online statistical analysis product operated by Suzhou Jingye New Management Consulting Co., Ltd. It publishes traceable methods, worked examples, and chart-reading guidance for quality engineering and business analysis. The product documents 54 statistical methods, a glossary, and browser calculators that need no sign-in. Public calculators do not upload their inputs. Saving data, running the full analysis workflow, generating reports, and exporting them requires an account.

Why should a person choose your product over its competitors?

ChartSays's answer:

ChartSays is a web/SaaS product used in the browser. It is not presented as a substitute for any specific desktop statistics package. Public calculators and method pages are available without an account, while the full workspace needs a sign-in. Supported uploads are CSV, XLSX, TSV, and TXT. A free plan covers unlimited standard analyses with watermarked exports and no AI. Paid plans ($14.90/month or $129/year) add AI analysis and remove watermarks. The focus is quality engineering, Six Sigma work, and business analysis.

What makes your product unique?

ChartSays's answer:

ChartSays is browser-based statistics software for Six Sigma, quality engineering, and business analysis. It includes 54 statistical methods, chart-reading guides, and free public calculators that work without sign-in. Users can upload CSV, XLSX, TSV, or TXT files. Saving data and using the full analysis workspace requires an account. The free plan is $0 for unlimited standard analyses with watermarked exports and no AI. Paid plans are $14.90 per month or $129 per year and add AI analysis with exports that are not watermarked.

Which are the primary technologies used for building your product?

ChartSays's answer:

ChartSays is web/SaaS software used in the browser. No desktop install is required. Public calculators run without sign-in and do not upload their inputs. The full analysis workspace, including saved data, reports, and exports, requires an account. Users upload data as CSV, XLSX, TSV, or TXT files.

Who are some of the biggest customers of your product?

ChartSays's answer:

  • ChartSays does not publish a list of named customers.
  • The intended audience is quality engineers, Six Sigma practitioners, and analysts who need statistical results in a browser.
  • That describes intended use, not a claim about current customers.

User comments

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Alternatives to CloudQuant and ChartSays

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