RANDOM HARVESTERPortfolio research, made personal
Test your portfolio.
See how your selection of assets could have behaved under Random Harvester’s historical trading simulation. Explore the sample report and tell us what you would like tested.
Research preview · No payment today · No live trading
Illustrative graphic. See the example report for actual simulated results.
How it works
Start with your own selection.
Choose assets
Enter 5 to 10 stock or ETF tickers and one total starting amount. The amount is divided equally across the assets.
Choose a period
Select the current year, the last five years, or your own historical dates.
Inspect the method
Open the free report example to see the charts, comparisons, assumptions, and limitations a full report can contain.
Free example
See the report before you decide.
The EuroStocks example shows historical simulations, banked profit, asset analysis, and benchmark comparisons. It includes 14 assets as an example of report format; requests on this page accept 5 to 10.
Random Harvester tests each asset using its own historical price data. It looks for sustained trends and checks their consistency before simulating trades. Results for individual assets show whether a portfolio outcome depends on just a few holdings.
After a profitable sale, the simulation can move part of the gain out of the trading account as banked profit. That amount is no longer exposed to subsequent losses in the simulated strategy. The trade-off is that less capital remains available to compound in future trades.
Open the example PDFClear assumptions.
15-page example report
Simulated results · September 2026
Interest survey
Which portfolio would you test?
Tell us what you want to examine. We are gathering requests to shape the service. Submitting this form does not place an order or produce a report.
We will use your email only to follow up about this request. Please read our privacy policy.
A clear view of the limits.
Random Harvester tests historical data with a causal, long-only simulation and compares results with reference strategies. Backtests depend on the chosen assets, data, assumptions, and market conditions. The current results are in-sample: parameters were calibrated with knowledge of the evaluation data. Past simulated results do not predict future returns. This service does not execute trades or provide personal investment advice.