About the author

Uladzislau Muklanovich

Go to Daily

LinkedIn GitHub

I work in data analytics, data quality and automation. In Research, I apply that experience to studying financial markets.

Rubix

Jan 2023–present

Data Quality Manager

Corporate data, data quality and automation with Databricks, SQL, Excel and SAP PIM.

Aon

Aug 2021–Dec 2022

Global Benefits Junior Analyst

Benefits data analysis and reporting automation.

Why Research

Muklanovich Research is my personal workspace for financial markets. It brings market data and my trading analyses together so I can make better-informed decisions, preserve the reasoning behind an idea and follow its development over time.

What you can do

Daily

Compare instruments and review price structure, news and calendar risks to decide what deserves a closer look.

Candlestick patterns · FVGs · Swing structure · Pair rankings

Macro

Explore the globe and country desks to understand the economic backdrop to a market move.

Countries · Macro indicators · News · Calendar

Trading Journal

Develop an idea before taking a trade, then follow it through with entries, images and dated updates.

Analyses · Entries · Follow-ups

How it works

Automated market assessments use an AI analyst, followed by a verifier that reviews the assessment against the supplied evidence. The trading analyses in Journal are my own.

Next.js · React · TypeScript
Interface and server logic.
PostgreSQL
Market data, saved analyses and the journal.
Python · Node.js
Data collection and processing.
Three.js
The interactive Macro globe.

I own the product concept, research logic and user journeys, and lead development using AI coding tools.

Where I am taking Research

Analysis shaped by my strategy
Bring news, prices and technical structure into the way I assess a trade.
Voice input
Capture observations and trading ideas by voice.
Personal financial assistant
Connect research and personal financial decisions in one working context.
Subscription access
Monthly or annual access, after testing practical usefulness.

Research is evolving. I am refining the quality of AI assessments and news filtering.