Tools & Wizards About Us
appliedmachinelearning.systems screenshot

Report Summary

  • 41

    Performance

    Renders faster than
    60% of other websites

  • 98

    Accessibility

    Visual factors better than
    that of 94% of websites

  • 92

    Best Practices

    More advanced features
    available than in
    80% of websites

  • 93

    SEO

    Google-friendlier than
    83% of websites

appliedmachinelearning.systems

Trade automation | Applied Machine Learning Systems

Page Load Speed

4.7 sec in total

First Response

857 ms

Resources Loaded

3.6 sec

Page Rendered

265 ms

appliedmachinelearning.systems screenshot

About Website

Click here to check amazing Applied Machine Learning content. Otherwise, check out these important facts you probably never knew about appliedmachinelearning.systems

Specialized in trade automation, machine learning & data science. Offers supported for Meta Trader, TradingView, NinjaTrader & FXTS2 trading station.

Visit appliedmachinelearning.systems

Key Findings

We analyzed Appliedmachinelearning.systems page load time and found that the first response time was 857 ms and then it took 3.8 sec to load all DOM resources and completely render a web page. This is a poor result, as 65% of websites can load faster.

Performance Metrics

appliedmachinelearning.systems performance score

41

Measured Metrics

name

value

score

weighting

FCP (First Contentful Paint)

Value10.8 s

0/100

10%

LCP (Largest Contentful Paint)

Value10.9 s

0/100

25%

SI (Speed Index)

Value16.4 s

0/100

10%

TBT (Total Blocking Time)

Value250 ms

84/100

30%

CLS (Cumulative Layout Shift)

Value0.036

100/100

15%

TTI (Time to Interactive)

Value14.5 s

8/100

10%

Network Requests Diagram

appliedmachinelearning.systems

857 ms

wp-emoji-release.min.js

334 ms

view.css

357 ms

mediaelementplayer-legacy.min.css

105 ms

wp-mediaelement.min.css

106 ms

Our browser made a total of 58 requests to load all elements on the main page. We found that 47% of them (27 requests) were addressed to the original Appliedmachinelearning.systems, 28% (16 requests) were made to C0.wp.com and 5% (3 requests) were made to Stats.wp.com. The less responsive or slowest element that took the longest time to load (1.1 sec) belongs to the original domain Appliedmachinelearning.systems.

Page Optimization Overview & Recommendations

Page size can be reduced by 1.0 MB (69%)

Content Size

1.5 MB

After Optimization

443.3 kB

  • HTML
  • Images
  • JavaScript
  • CSS

In fact, the total size of Appliedmachinelearning.systems main page is 1.5 MB. This result falls beyond the top 1M of websites and identifies a large and not optimized web page that may take ages to load. 55% of websites need less resources to load. Javascripts take 745.5 kB which makes up the majority of the site volume.

HTML Optimization

-82%

Potential reduce by 107.9 kB

  • Original 131.7 kB
  • After minification 130.9 kB
  • After compression 23.8 kB

HTML content can be minified and compressed by a website’s server. The most efficient way is to compress content using GZIP which reduces data amount travelling through the network between server and browser. HTML code on this page is well minified. It is highly recommended that content of this web page should be compressed using GZIP, as it can save up to 107.9 kB or 82% of the original size.

Image Optimization

-2%

Potential reduce by 92 B

  • Original 5.7 kB
  • After minification 5.6 kB

Image size optimization can help to speed up a website loading time. The chart above shows the difference between the size before and after optimization. Applied Machine Learning images are well optimized though.

JavaScript Optimization

-64%

Potential reduce by 477.4 kB

  • Original 745.5 kB
  • After minification 740.4 kB
  • After compression 268.0 kB

It’s better to minify JavaScript in order to improve website performance. The diagram shows the current total size of all JavaScript files against the prospective JavaScript size after its minification and compression. It is highly recommended that all JavaScript files should be compressed and minified as it can save up to 477.4 kB or 64% of the original size.

CSS Optimization

-74%

Potential reduce by 421.6 kB

  • Original 567.5 kB
  • After minification 552.0 kB
  • After compression 145.8 kB

CSS files minification is very important to reduce a web page rendering time. The faster CSS files can load, the earlier a page can be rendered. Appliedmachinelearning.systems needs all CSS files to be minified and compressed as it can save up to 421.6 kB or 74% of the original size.

Requests Breakdown

Number of requests can be reduced by 44 (88%)

Requests Now

50

After Optimization

6

  • AJAX
  • Images
  • JavaScript
  • CSS

The browser has sent 50 CSS, Javascripts, AJAX and image requests in order to completely render the main page of Applied Machine Learning. We recommend that multiple CSS and JavaScript files should be merged into one by each type, as it can help reduce assets requests from 28 to 1 for JavaScripts and from 18 to 1 for CSS and as a result speed up the page load time.

Network Requests Diagram

appliedmachinelearning.systems

appliedmachinelearning.systems

857 ms

wp-emoji-release.min.js

wp-emoji-release.min.js

334 ms

view.css

view.css

357 ms

mediaelementplayer-legacy.min.css

mediaelementplayer-legacy.min.css

105 ms

wp-mediaelement.min.css

wp-mediaelement.min.css

106 ms

wc-blocks-vendors-style.css

wc-blocks-vendors-style.css

115 ms

wc-blocks-style.css

wc-blocks-style.css

124 ms

classic-themes.min.css

classic-themes.min.css

113 ms

styles.css

styles.css

365 ms

rs6.css

rs6.css

605 ms

wootweet-public.css

wootweet-public.css

364 ms

slick.css

slick.css

377 ms

wpls-public.css

wpls-public.css

458 ms

wcj-offer-price.css

wcj-offer-price.css

491 ms

css

css

134 ms

style.min.css

style.min.css

1069 ms

woocommerce.min.css

woocommerce.min.css

600 ms

responsive.min.css

responsive.min.css

631 ms

style.css

style.css

581 ms

jetpack.css

jetpack.css

110 ms

wp-polyfill-inert.min.js

wp-polyfill-inert.min.js

108 ms

regenerator-runtime.min.js

regenerator-runtime.min.js

128 ms

wp-polyfill.min.js

wp-polyfill.min.js

130 ms

hooks.min.js

hooks.min.js

128 ms

w.js

w.js

127 ms

jquery.min.js

jquery.min.js

129 ms

rbtools.min.js

rbtools.min.js

957 ms

rs6.min.js

rs6.min.js

841 ms

wootweet-public.js

wootweet-public.js

725 ms

s-202409.js

s-202409.js

127 ms

image-cdn.js

image-cdn.js

545 ms

scripts.js

scripts.js

572 ms

jquery.blockUI.min.js

jquery.blockUI.min.js

4 ms

add-to-cart.min.js

add-to-cart.min.js

4 ms

js.cookie.min.js

js.cookie.min.js

5 ms

woocommerce.min.js

woocommerce.min.js

5 ms

wcj-offer-price.js

wcj-offer-price.js

665 ms

mailchimp-woocommerce-public.min.js

mailchimp-woocommerce-public.min.js

687 ms

us.core.min.js

us.core.min.js

1071 ms

e-202409.js

e-202409.js

4 ms

cart-fragments.min.js

cart-fragments.min.js

5 ms

forms.js

forms.js

799 ms

g.gif

g.gif

141 ms

analytics.js

analytics.js

147 ms

fbevents.js

fbevents.js

238 ms

logo-light-amsl.png

logo-light-amsl.png

223 ms

memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVc.ttf

memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsjZ0B4gaVc.ttf

205 ms

memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVc.ttf

memSYaGs126MiZpBA-UvWbX2vVnXBbObj2OVZyOOSr4dVJWUgsg-1x4gaVc.ttf

229 ms

pxiByp8kv8JHgFVrLDz8Z1xlEA.ttf

pxiByp8kv8JHgFVrLDz8Z1xlEA.ttf

230 ms

fa-regular-400.woff

fa-regular-400.woff

393 ms

fa-light-300.woff

fa-light-300.woff

531 ms

fa-solid-900.woff

fa-solid-900.woff

202 ms

fa-brands-400.woff

fa-brands-400.woff

386 ms

ecf0ff68d2d2228e30e35b9d2.js

ecf0ff68d2d2228e30e35b9d2.js

276 ms

ec.js

ec.js

124 ms

g.gif

g.gif

97 ms

collect

collect

47 ms

js

js

89 ms

Accessibility Review

appliedmachinelearning.systems accessibility score

98

Accessibility Issues

Navigation

These are opportunities to improve keyboard navigation in your application.

Impact

Issue

High

Heading elements are not in a sequentially-descending order

Best Practices

appliedmachinelearning.systems best practices score

92

Areas of Improvement

Trust and Safety

Impact

Issue

High

Does not use HTTPS

Low

Ensure CSP is effective against XSS attacks

General

Impact

Issue

Low

Detected JavaScript libraries

SEO Factors

appliedmachinelearning.systems SEO score

93

Search Engine Optimization Advices

Crawling and Indexing

To appear in search results, crawlers need access to your app.

Impact

Issue

High

Links are not crawlable

Mobile Friendly

Make sure your pages are mobile friendly so users don’t have to pinch or zoom in order to read the content pages. [Learn more](https://developers.google.com/search/mobile-sites/).

Impact

Issue

High

Document uses legible font sizes

Language and Encoding

  • Language Detected

    EN

  • Language Claimed

    EN

  • Encoding

    UTF-8

Language claimed in HTML meta tag should match the language actually used on the web page. Otherwise Appliedmachinelearning.systems can be misinterpreted by Google and other search engines. Our service has detected that English is used on the page, and it matches the claimed language. Our system also found out that Appliedmachinelearning.systems main page’s claimed encoding is utf-8. Use of this encoding format is the best practice as the main page visitors from all over the world won’t have any issues with symbol transcription.

Social Sharing Optimization

appliedmachinelearning.systems

Open Graph data is detected on the main page of Applied Machine Learning. This is the best way to make the web page social media friendly. Here is how it looks like on Facebook: