[ ENGINEERING. MARKETS. SYSTEMS. ]

I build trading infrastructure that performs in the real world.

From real-time market data pipelines to event-driven backtesting, virtual trading, and live execution systems.Built across Indian, US, and crypto markets.

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Over the last 4 years, I independently built a full-stack trading platform covering ingestion, backtesting, virtual trading, and live execution.

01 DATA INGESTION

Tick, OHLCV, Order book

Normalization + Storage

02 BACKTESTING ENGINE

Event-driven backtester

Realistic fills + Slippage + Costs

03 VIRTUAL TRADING

Paper trading in real-time

PnL simulation + Analytics

04 LIVE EXECUTION

Multi-broker OMS

Risk controls + Smart routing

EXECUTION
LIFECYCLE

Market EventData captured
Signal GeneratedStrategy triggers
Risk ValidatedChecks passed
Order RoutedSmart order routing
ExecutedBroker acknowledgement

Built to solve real problems

Real trading is hard. Bad infrastructure makes it harder.

Fragmented & messy data

Different formats, missing ticks, corporate actions, and inconsistent history ruin analysis.

Backtests that look good but fail live

Look-ahead bias, unrealistic fills, ignored slippage and costs create a false sense of edge.

Strategies break in live markets

What works historically often fails due to latency, execution quality and market impact.

Execution bottlenecks & slippage

Poor order routing, API limits and broker latencies lead to slippage and missed opportunities.

Systems don't scale or stay reliable

Single points of failure, weak monitoring and infrastructure not built for real-time scale.

I build production-grade systems that remove these gaps so you can focus on building and executing better strategies.

Latest insights

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MarketDataEventEngineStrategyExecutionSimulatorPortfolioResults
Article3 min read

Why Most Backtests Lie

Everyone loves a beautiful equity curve. Smooth returns. Tiny drawdowns. An impressive Sharpe ratio. Then the strategy goes live. Within a week, the returns disappear. The usual conclusion is: “The market changed.” In my experience, that’s rarely the real reason. More often, the backtest was lying from the beginning. Over the last four years, I’ve built an algorithmic trading platform from scratch—from market data ingestion to an event-driven backtesting engine, a live paper trading frame

Portrait of Anurag Singh Kushwah

Builder. Engineer. Operator. _

I'm Anurag Singh Kushwah — AI engineer, system builder, and independent operator.

Over the last 4 years, I've built a production-grade trading platform from scratch — not as a product, but as my edge.

Now I help traders, teams, and firms build the same kind of infrastructure the right way.

Systems First

Designing for reliability, not just performance.

Battle Tested

Every component is tested in live market conditions.

Transparent Thinking

I document the why, not just the how.

Long Term Mindset

Built to last through markets and cycles.

Let's build something reliable

Need help building robust trading infrastructure?

Whether you're a trader, a quant team, or a firm —I can help you design, build, and scale the right systems.

Work with me