Hi, my name is Dev.

Dev Bhardwaj.

I build systems for markets, AI and decision-making.

Economics background. AI/data science path. Trading systems obsession. I’m building Aurora X, Rulebound, and a public body of work around markets, machine learning, investing research and product ideas.

I’m not here to sell signals or pretend trading is easy. I’m documenting the process, the mistakes, the discipline and the tools I’m building along the way.

View ProjectsRead My Thinking
Background
BSc Economics
Current path
MSc AI & Data Science
Research lane
Markets + investing
Systems
Backtesting + ML

01.About

A markets brain learning to build with code.

My name is Dev Bhardwaj, but publicly I prefer Dev. I’m based in London / Southall, studied BSc Economics at the University of Nottingham, and I’m studying MSc Artificial Intelligence & Data Science at Cambridge Spark. I’m interested in markets, investing, trading systems, machine learning, startups, AI products and content. I’m not trying to build a standard CV website. I’m documenting the process of becoming sharper across markets, AI, trading systems and product building - one project, backtest, model and mistake at a time.

My edge is combining markets, economics, data, code and personality: enough technical depth to build, enough market curiosity to ask better questions, and enough honesty to keep improving in public.

I’m not here to sell signals or pretend trading is easy. I’m documenting the process, the mistakes, the discipline and the tools I’m building along the way.

02.Focus

A focused mix of markets, machine learning, trading systems, product work and public thinking.

01

Rules under pressure

Algorithmic Trading

Researching, coding and backtesting systematic strategies across FX, commodities and equities - with a focus on risk, regimes, execution and robustness.

02

Models, not magic

Machine Learning & AI

Building skills across Python, ML, forecasting, model evaluation, data pipelines and AI-powered product ideas.

03

Expectations priced

Markets & Investing

Studying macro, equities, valuation, expectations, market psychology and how narratives get priced.

04

Signal from events

Aurora X / Market Intelligence

Exploring how AI, event data and market expectations can be combined to understand market moves and forecasting.

05

Ship, learn, refine

Product Building

Building apps, testing ideas, shipping fast, learning from users and turning research into tools.

06

Clear thinking

Writing / Content

Explaining markets, AI, trading systems and the builder journey in a simple, sharp and relatable way.

03.Work

A public map of what I’m building across markets, AI, trading systems and writing.

In Progress

Aurora X

Markets / AI / Product

Market intelligence project exploring how AI, macro events, expectations and forecasting can help explain market moves and news impact context.

AIMarketsForecastingMacroProductResearch
Open

In Progress

Rulebound

Product / Trading Systems

Discipline and journaling product for traders focused on rules, execution review, overtrading, process and risk behaviour.

Trading JournalExecutionDisciplineRiskProductProcess
Open

Research

Trading Algorithms Lab

Trading Systems

Researching and backtesting systematic strategies across FX, commodities and equities with a focus on risk controls, market regimes, execution and robustness.

PythonMQL4MQL5Pine ScriptBacktestingRisk ManagementMetaTrader

In Progress

ML Forecasting Sandbox

AI/ML

Experiments with machine learning models for prediction, classification, forecasting and model evaluation using real-world datasets.

PythonPandasNumPyscikit-learnXGBoostJupyterModel Evaluation

Live

HM Treasury Hackathon

AI/ML / Data

Built a data-led solution for a justice challenge, using Random Forest Regression in Microsoft Fabric to analyse factors linked to prison effectiveness and recidivism.

Microsoft FabricRandom ForestData AnalysisML

Research

Investing Research

Markets

Research around equities, macro, valuation, expectations and market psychology - focused on how markets price future outcomes.

Equity ResearchValuationMacroBloombergTechnical Analysis

Live

Personal Website

Product / Brand

A fast, public-facing home for my work across markets, AI, trading systems, writing and building in public.

ReactUIPersonal BrandFrontend
GitHub

Coming Soon

Content / Writing

Writing

Short essays and posts explaining markets, AI trading bots, backtesting, expectations and the psychology of building.

MarketsAIWritingPersonal Brand
Open

04.Experience

Public experience only, framed around modelling, research, risk and trading systems.

Jul 2024 - Aug 2024

London

Savills

Summer Intern

  • Built financial models including Budget Forecast, CapEx and P&L analysis for a £200m+ portfolio.
  • Analysed assets under changing macro conditions and presented risk, price/yield sensitivity and recommended actions.
  • Supported analysis of flagship assets valued at £1.7bn+ and fed findings into risk assessment/stress testing.

Jun 2023 - Sep 2023

London

Wells Fargo

Summer Intern

  • Worked with credit and CRE risk teams across risk frameworks including LTV, VaR and P&L scenario analysis.
  • Produced documentation and step-by-step guides to improve stakeholder transparency.
  • Delivered process/restructuring analysis to senior managers, improving clarity across handoffs and teams.

Apr 2023 - May 2023

Nottingham

Envirup Ltd

Financial Analyst Intern

  • Valued a £5m investment opportunity using DCF, IRR and scenario analysis.
  • Adjusted revenue and CapEx assumptions to understand impact on valuation and negotiation ranges.

Oct 2021 - Jun 2022

Nottingham

NEFS Equity Fund

Investment Analyst

  • Used Bloomberg Terminal to conduct fundamental and technical equity research.
  • Analysed sector trends and contributed to investment recommendations, including a carefully researched NextEra Energy case study.

Jan 2022 - Jul 2024

Nottingham

Nottingham Trading & Investment Society

FX/Commodities Trader

  • Developed and backtested a rules-based mean-reversion algorithm using MT4 across FX and commodities.
  • Executed 800+ trades and studied risk controls, drawdowns and strategy behaviour.

Builder mode

Product Exploration

Legafy

Co-Founder / Builder

  • Building and experimenting with product ideas around self-growth, AI, personal systems and software.

05.Skills

Built as editable arrays, so adding Pine Script, MQL5, TensorFlow, PyTorch, FastAPI, Docker or any new tool is a one-line data change.

Programming Languages

The base layer for models, interfaces, automation and trading scripts.

8
PythonJavaScriptTypeScriptSQLVBAPine ScriptMQL4MQL5

Frontend / Web

Public-facing products, dashboards and fast personal-brand interfaces.

6
ReactNext.jsNode.jsHTMLCSSTailwind CSS

Data / ML

Forecasting, classification, evaluation and working with real-world datasets.

12
PandasNumPyscikit-learnJupyterRandom ForestsRegressionClassificationModel EvaluationFeature EngineeringForecastingData CleaningData Visualisation

Trading / Quant

Backtests, regimes, risk controls and strategy behaviour under pressure.

11
MetaTrader 4MetaTrader 5BacktestingRisk ManagementMean ReversionTechnical AnalysisMarket RegimesFXCommoditiesEquitiesBloomberg Terminal

Finance / Markets

The economics and valuation toolkit behind market research.

13
Financial ModellingDCFIRRCapExP&LBudget ForecastingValuationMacro AnalysisEquity ResearchPortfolio AnalysisRisk FrameworksLTVVaR

Tools

The practical stack for shipping, analysis and market work.

8
GitGitHubMicrosoft ExcelMicrosoft OfficeMicrosoft FabricStataBloomberg TerminalTradingView

English

Native

Hindi

Fluent

Punjabi

Fluent

06.Writing

Markets, backtests, expectations, AI trading tools and the honest psychology of building before the outcome is obvious.

Why Good News Can Make Stocks Fall

Markets don’t just react to news. They react to expectations.

Coming soon

Why Backtests Lie

A trading strategy can look perfect in testing and still fall apart in live markets.

Coming soon

Why AI Trading Bots Are Not Money Printers

AI can find patterns, but markets love breaking patterns.

Coming soon

Markets Move Before Reality Feels Obvious

Price often moves when expectations shift, not when the news finally becomes obvious.

Coming soon

Building My Way Out of Average

A real-time log of building skills, products, systems and discipline before the outcome is obvious.

Coming soon

Not just code and charts.

A little more signal on the person behind the projects.

Southall / London
Markets and economics
Gym and discipline
Formula 1
Mixed Martial Arts
Building in public
Family / roots
On the come-up

07. Contact

Want to talk markets, AI, trading systems or product ideas?

Best route is email. Social links are here too.

EmailLinkedInGitHubX / TwitterInstagram