Client projectData pipelinesFinance and insurance

A market data pipeline a trader kept on retainer for 26 months

Justin Hilgart, an independent trader. March 2024 to May 2026, 2 years 3 months.

on retainer, March 2024 to May 2026
26 months
Python modules, from alert enrichment to backtest datasets
5

Proof

See the market data pipeline for yourself

1 line from the client.

Ask about this

Said1

great worker

Justin Hilgart, Justin Hilgart, closing the backtesting contract on Upwork, in a review, May 2026

Market data pipeline at a glance

Challenge
An independent trader had alerts in one format, market history in another, and started every backtest with the same wrangling.
Solution
Five Python modules that enrich alerts from Polygon, normalize timestamps, look up prices at a moment and prepare backtest datasets.
Result
The trader spends his time on the strategy, not the data, and kept the retainer running for 26 months.

The market data pipeline challenge

An independent trader had alerts in one format, market history in another and no dependable way to ask what a price was at the moment an alert fired. Every backtest started with the same data wrangling, done by hand.

What went into the market data pipeline

Data pipeline

  1. A module that enriches trade alerts with historical bars from the Polygon API

  2. Timestamp normalisation across the alert feed and the market data, so the two line up to the minute

  3. Price lookup at a given time, including the edge cases around market open and close

More of what we built2
  1. Dataset preparation for analysis, written so each backtest starts from the same clean table

  2. Walkthroughs of the code with the trader as the tooling grew, over two years of retained work

See it working, under proof

Market data pipeline results

The trader spends his time on the strategy, not on the data underneath it. He kept the retainer running for 26 months and left a 5-star review when it closed in May 2026.

What the client said, under proof

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