Automated MetaTrader 5 Expert Advisor backtesting framework

Automated MetaTrader 5 Expert Advisor backtesting frameworkAutomated MetaTrader 5 Expert Advisor backtesting framework

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Klito Odu

• Oct 12

Automated MetaTrader 5 Expert Advisor backtesting framework

Data Analysis Data Systems Design Web Scraping PyQt Python

Sabin Mainali

• Oct 19

Brand Fill Loader: your logo is the loader.

Drop in any logo and it fills up like liquid while a rolling counter climbs to 100%, then the logo pops and a check badge lands. It is made for SaaS upload, export and onboarding screens, where a generic spinner would normally sit.

To rebrand it, replace one logo image, retype three texts (status, done message, brand name) and change two colors. The second brand in the video (Nimbus Pay) was made through the SVGator MCP in six edits.

Named layers: logo, status-text, status-done, brand-name, progress-bar, badge-bg, percent. Motion designed in code, project built and rebranded through the SVGator MCP, then checked in the SVGator editor.

X post: https://x.com/sabinm47/status/2112050094589751574

Completed work

2D Animation Animation Motion Design Claude Python svgatorchallenge SVGator

Sagar Nawaz

• Oct 19

Amaixng dear

Onyerikam Godwin

pro

• Oct 19

Playing around with Framer this week. Made a fake AI lab landing page, Iris, just to see how far I could push the type and cursor interactions. Still learning, but I'm liking it.

Framer UI Design UX Design

Timothy Exodus

pro

• Oct 20

The eyeball cursor over the massive iris type is such a fun interaction idea. Pushing the type and cursor this far on a fake AI lab page is exactly the kind of play that builds real skill.

LIA ALEEN IRSHAD

• Oct 19

TripMate is an AI-powered travel recommendation platform designed to provide personalized travel suggestions based on user preferences and behavior. I developed the system using collaborative filtering, NLP-based aspect analysis, and emotion recognition to improve the personalization of recommendations. The application was built with Python and Django, with machine learning and deep learning models integrated into the recommendation workflow.