Programming
Knowledge
Quantitative Trading Strategies, Market Analysis, Financial Modelling, Portfolio Optimisation, Statistics, Machine Learning
Languages & Tools
Python, R, SQL, C++, VBA, MongoDB, Git, HuggingFace
Market Analyst · Power Trading @ TotalEnergies. Writing Pocket Investo and building side projects on the side. Analyst & Research — but a firm believer that markets can be discussed without sounding like a Bloomberg terminal 24/7.
Market Analyst Pocket Investo Quantitative Finance
Hey there — welcome to my little corner of finance, markets, and organised chaos
I'm Grace Chandra, currently working as a Market Analyst in Power Trading at TotalEnergies, where I spend most of my time thinking about markets, risk, macro trends, and trying to understand why prices occasionally decide to ignore logic entirely.
This site is a collection of projects, research, and ideas I've explored across quantitative finance, investing, portfolio strategy, and market analysis. I've always believed that the best way to truly understand something is to explain it simply — which is partly why I created Pocket Investo, a platform where I write and share content aimed at making finance more accessible, less intimidating, and hopefully a little less boring.
Outside of finance, I enjoy building side projects around ideas I'm genuinely passionate about — which is ultimately what motivated this page. For me, side projects are where curiosity, creativity, and finance intersect best.
Knowledge
Quantitative Trading Strategies, Market Analysis, Financial Modelling, Portfolio Optimisation, Statistics, Machine Learning
Languages & Tools
Python, R, SQL, C++, VBA, MongoDB, Git, HuggingFace
Topics
Power Trading, Macro, Multi-Asset, Equity Valuation, Credit Analysis
Current Interests
Portfolio optimisation, Equity Valuation frameworks, Market commentary
Platform
Pocket Investo — Finance Without the Jargon· Present
Topics
Macro & Multi-Asset Investing, Portfolio Strategy, Geopolitics, Investments
A small but growing collection of side projects across quantitative finance, portfolio strategy, and writing. Click any tile to open.
A media platform covering macro and multi-asset investing insights — written to make finance feel accessible, less intimidating, and a little less boring. Lives on Instagram and Medium.
An interactive portfolio-optimisation dashboard combining the Black–Litterman model with multi-benchmark tracking-error constraints. Lets you encode views and see them propagate through the allocation.
A relative-valuation engine for single-stock analysis. Pulls peer multiples, computes a fair-value band, and shows where the implied rating sits versus consensus.
Quantifies the marginal risk impact of new trades on a commodity desk's live book across WTI, Brent, and LNG. Built for pre-trade risk assessment, incremental VaR decomposition, and limit management.
Signal-driven algorithmic trading system automating strategy execution from backtesting through live deployment — integrating technical indicators, dynamic position sizing, and risk controls into a single unified framework.
Always down to meet over a cuppa coffee with fellow curious minds!