Oracle Dynamic Monitoring Service

ORCLTokyo Stock Exchange, Frankfurt Stock Exchange, XETRA, New York Stock Exchange, Buenos Aires Mercato De Valores, Mexico Stock Exchange, Vienna Stock Exchange, Bovespa Soma$153.52+270.11%
Buy signal: usage growth >
2.0%
Hold period
28 days
Cash rate (annual)
3.0%
Starting capital
$
Usage ↔ Price correlation
(Pearson r):
Pearson r measures how closely the technology's usage growth tracks the stock price over the selected period. A value near +1.0 means they move together strongly; near 0 means little relationship; near −1.0 means they move in opposite directions. Values above 0.6 or below −0.6 are generally considered meaningful.
Strategy
Usage Strategy
Buys the stock when BuiltWith detects the usage growth threshold is met, holds for the configured period, then sells. The portfolio sits in cash between trades. Green shaded bands show active holding periods.

Buy & Hold
Invests the same starting capital on the first data point and holds through the entire period with no trading. This is the baseline to beat.
Simulation Results
#Buy DateBuy PriceSell DateSell PriceReturnP&L

What does this simulation show?

This simulation tests whether BuiltWith's technology usage data the number of websites detected using Oracle Dynamic Monitoring Service could have been used as a stock trading signal over the selected time period.

How each trade works: When weekly usage grows by more than the Buy Signal threshold, the simulation buys the stock at that week's closing price. It then holds for the configured Hold Period, then sells regardless of what the price does in between. Between trades the portfolio sits in cash and earns the configured Cash Rate (compounded weekly), so idle capital still grows modestly while waiting for the next signal.

Strategy vs Buy & Hold: If the strategy return beats Buy & Hold, it suggests the usage growth signal had some predictive value for this stock over this period. If it underperforms, the signal did not provide a useful edge possibly because the stock moved independently of product adoption, or because trading costs and timing eroded returns.

Important: This is a historical backtest on a single asset with no transaction costs, slippage, or taxes modelled. Past simulated results do not predict future performance and should not be used as the basis for any investment decision.

Not Investment Advice

Information presented on the website regarding companies, technologies, or publicly traded entities is provided for informational purposes only.

Nothing on this website constitutes financial or investment advice.