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Infrastructure

Infrastructure

From Prototype to Production

From Prototype to Production

The hidden engineering mistakes that separate production systems from prototypes.

The hidden engineering mistakes that separate production systems from prototypes.

Date:

Author:

Akshat Sogani

001

The Backtest Illusion

A backtest is a hypothesis. A production system is a promise. The gap between them is where most financial software dies. Backtests run on clean, complete, perfectly-ordered historical data with no slippage, no outages, and infinite hindsight. Markets offer none of that.

A strategy that looks flawless in research can unravel the moment it meets live data feeds, partial fills, and the unforgiving clock of real execution.

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002

The Invisible Infrastructure

Production trading lives or dies on what you can see. Observability means knowing the exact state of every order, position, and data feed at any millisecond. Monitoring catches the silent failures — a stale price, a dropped connection, a clock drift before they become losses.

Failover assumes components will break and routes around them automatically. None of this improves returns directly, yet without it a profitable strategy becomes a liability. Infrastructure is the difference between a system you trust with capital and a script you watch nervously.

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003

Where Real Risk Lives

Four quiet forces decide whether a system survives contact with the market. Latency determines whether your price is real or already gone. Data quality decides whether decisions rest on truth or noise a single corrupted tick can cascade.

Reconciliation ensures your view of positions matches the exchange's, because divergence compounds into disaster. Operational risk is everything else that breaks at 3 a.m.: a failed deployment, an expired credential, a region outage. Institutions fear these far more than a bad trade.

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004

Where the Money Actually Goes

Ask any serious trading firm where the money goes, and the answer surprises outsiders: most of it funds infrastructure, not ideas. The algorithm is often the cheapest part. What costs is the architecture that keeps it alive redundant systems, real-time monitoring, disaster recovery, rigorous testing, and the engineers who maintain them.

A clever signal is replicable in weeks. A platform that runs it safely for years is not. The edge is not the strategy; it is the ability to execute it reliably, repeatedly, without failure.

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(Frequently Asked Questions)

Do you build products from scratch or improve existing systems?

Who do you typically work with?

How is Aurevian different from a traditional software development company?

Do you provide ready-made products?

What happens after deployment?

(02)

(Frequently Asked Questions)

Do you build products from scratch or improve existing systems?

Who do you typically work with?

How is Aurevian different from a traditional software development company?

Do you provide ready-made products?

What happens after deployment?

(02)

(Frequently Asked Questions)

Do you build products from scratch or improve existing systems?

Who do you typically work with?

How is Aurevian different from a traditional software development company?

Do you provide ready-made products?

What happens after deployment?