TickrTales

About the site

Solving the problem of plenty.

There is more market data on the internet than anyone can read. For someone new to trading, the hard part is not finding information. It is knowing where to start.

TickrTales is my attempt to fix that. It takes the key numbers and the key headlines for the biggest stocks in seven major indexes and puts them on one small, simple site.

Explore the countries
What is going on
Each week I read the market data for the S&P 500, FTSE 100, Nifty 50, Nikkei 225, CSI 300, KOSPI 200 and the Straits Times Index. Every stock gets a score from 0 to 100, and the best go into My Top Picks lists for long-term holders and for day traders.
My goal
To solve the problem of plenty. Instead of hundreds of tabs, a new trader gets a short list, a chart, the main numbers and the latest headlines in one place, and can see why each stock was picked.
How this helps
Every list says where it is weak, and every page says what I could not verify. Nothing here is a recommendation. It is a place to start your own research, not to finish it.
How accurate is it
The numbers are read by hand from TradingView's stock screener, and the written notes are drafted with AI help and checked for consistency. I spot-checked the global top 10 lists against TradingView's symbol pages: prices and most figures matched, with a few differences (some indicators, analyst ratings and P/E) that are noted on the pages they affect. The rest have not all been checked individually, so mistakes are possible. This week's data was read on 6 November 2026, so US prices are Thursday's close.
About me

Hi, I'm Aarush.

I'm an Economics, Statistics and Mathematics student at Queen Mary University of London, interested in markets, quantitative finance and trading.

I built TickrTales to keep up with changing markets and to understand why a stock scores highly. A ranking tells you what to look at. For each stock on the lists, this site sets out the technical signals, the company's background, the latest news and the risks.

Contact

Spotted a mistake, or want to talk?

Tell me about any error and I will check it and fix it. I am also happy to talk about the project.

Studying
BSc (Hons) Economics, Statistics and Mathematics at Queen Mary University of London, 2025 to 2028. School of Economics and Finance Student Ambassador.
Before that
A-levels in Mathematics (A*), Further Mathematics (A) and Economics (A).
Tools I use
Python, Bloomberg Terminal and Microsoft Office. Bloomberg Market Concepts certified through Queen Mary.

What I've worked on

  1. July 2026

    Summer Analyst, TIQS, Bangalore

    Analysed macro data on the KOSPI and the yen carry trade, built integrated three-statement models, and back-tested DCF and FCFE valuations. I also built a Python bot that trades NIFTY50 weekly options, using my own Greeks calculator.

  2. September 2024

    Monte Carlo simulation for risk measurement

    An independent project in Python. It compares Monte Carlo with Black-Scholes for pricing options and estimates Value at Risk.

  3. June 2023

    Work experience, Pearson

    Helped a team of five work on supply chain problems with qualitative analysis and market research, then presented the findings to vice presidents and vendors.

  4. October 2022 to June 2025

    Mathematics tutor, First Class Learning

    Taught more than 25 A-level and GCSE students and managed their weekly schedules.