Test the idea before you trust it.
DataBacktest supplies clean historical market data and builds honest, well-documented backtests of trading strategies — so you can see how an idea behaved in the past, where it broke, and what it really costs to run.
Most backtests look great. Most of them are wrong.
Survivorship bias, look-ahead errors, missing commissions, unrealistic fills — small mistakes in research quietly turn an average idea into a spectacular-looking chart. We started DataBacktest to give independent traders the same careful, skeptical research process that professional desks use.
Every report we deliver lists the data source, every assumption, every cost model and every known limitation. No black boxes and no promises — just clear evidence you can check yourself.
Read our story →
Data and research services
Use one service or combine several. Every engagement starts with a free 20-minute call to understand your goal.
Historical Market Data
Cleaned end-of-day and intraday price data for U.S. equities, ETFs, futures and major FX pairs, adjusted for splits and dividends and delivered as CSV or Parquet.
Custom Backtesting Reports
Send us your rules in plain English, a spreadsheet or code. We rebuild the strategy, run it on clean data and return a full written report.
Strategy Code Review
We audit Python, Pine Script, MQL or EasyLanguage backtests for look-ahead bias, survivorship bias and unrealistic fills.
Walk-Forward & Monte Carlo
Out-of-sample testing, parameter stability maps and thousands of resampled runs to show how fragile — or robust — a result really is.
Data Cleaning & Validation
Already have data? We find gaps, bad ticks, duplicate bars and timezone errors, then document every fix we make.
Education & Workshops
Small-group sessions for trading clubs, colleges and educators on how to design honest, repeatable research.
From idea to report in four steps
Tell us the idea
Rules, markets, timeframe and what “success” means to you.
We scope and quote
A fixed price and delivery date — no hourly surprises.
We build and test
Clean data, realistic costs, in-sample and out-of-sample runs.
You get the report
PDF summary, trade log, charts and the raw data files.
How much data does your test need?
Drag the sliders to estimate the size of a dataset. It’s a quick way to understand why intraday research gets heavy fast.
What people say
“They found a one-bar look-ahead in my moving-average system that I had missed for two years. The report was blunt, and exactly what I needed.”
“We use their adjusted daily data for our college investment club. Clear documentation and Mark actually picks up the phone.”
“Fast turnaround, fixed price, and the walk-forward analysis changed how we size positions.”
Important: Backtested results are hypothetical and are prepared with the benefit of hindsight. They do not represent actual trading and do not guarantee future performance. DataBacktest does not provide investment advice. See our Risk Disclaimer.
Have a dataset or a strategy you want tested properly?
Tell us what you’re working on. Mark or a member of the team will reply within one business day with a scope and a fixed quote.