Hypothetical example · $100k capital · $15k lots · −2% / +12.5% · not a forecast.
The idea
How a dip-buy works
Capital is split into equal lots. The first lot buys at the starting price.
A new lot is added only when price is a set percent below the lowest open lot.
Each lot sells on its own when it is a set percent above its own buy —
cheaper lots reach that target first. Cash spent on a buy comes back when that
lot sells (plus the gain, if the target was hit) and can buy again on a later dip.
Toy example — not a real stock. $30,000 capital · $10,000 lots · −2.5% to add · +12.5% to sell.
Black line is price. Bars under the chart are the three lots — each from its buy to its sell (or still open).
Buy at $100.
First $10,000 lot.
Cash $30,000 → $20,000
Buy at $97.50.
Price is 2.5% below the lowest open lot ($100).
Cash $20,000 → $10,000
Buy at $95.
Another 2.5% below the new lowest lot ($97.50). Third lot. Capital is fully in the stock.
Cash $10,000 → $0 · 3 lots open
Sell at about $107.
The $95 lot is up 12.5% ($95 × 1.125 ≈ $106.88). Only that lot sells. About $11,250 cash returns.
Cash $0 → $11,250 · simulated P&L +$1,250 · 2 lots left
Sell at about $110.
The $97.50 lot hits +12.5% ($97.50 × 1.125 ≈ $109.69) and sells. The $100 lot is still open — it needs $112.50.
Cash $11,250 → $22,500 · simulated P&L +$2,500 · 1 lot still open
Hypothetical illustration, not a forecast and not a backtest. The form below runs the same
add-on-dip / sell-on-gain rules on real hourly US prices.
No account · no subscription · Apple Pay or Google Pay
Run a dip-buy grid on the last 12 complete months of hourly US equity data.
You set capital, lot size, the dip that adds a lot, and the gain that sells it.
Buys fill the next hour’s open (no look-ahead). Sells are a limit at your
gain % — filled at that limit unless the open gaps through. Whole shares only.
Flat $1. You get a one-time code, then the book, the benchmark, and the risk.
This is a hypothetical, backward-looking simulation — not investment advice.
One 12-month path is not a forecast. Grid strategies can still concentrate risk
in a downtrend; a lot cap limits that, it does not remove it. Only currently listed
symbols can be tested (survivorship bias). Modeled fees and slippage will not match
every live fill, especially in thin names.
Full disclaimer
Run a $1 backtest
Fetching hourly bars and running the book…
Disclaimer
Insta Stock Backtest is a research-oriented, pay-per-use historical simulation. It is not a broker-dealer,
investment adviser, commodity trading advisor, bank, or financial planner, and it does not
provide investment, tax, or legal advice. Nothing on this site is a solicitation or a
recommendation to buy, sell, or hold any security, or to use any trading strategy.
Results are hypothetical and backward-looking. They are prepared with the benefit of
hindsight and do not represent actual trading. They do not fully account for liquidity,
market impact, partial fills, halts, spreads, borrow costs, taxes, overnight gaps beyond
the modeled rules, or the financial and emotional risk of using real capital. Modeled
commission and slippage will not match every live fill, especially in less liquid names.
Only currently listed symbols can be tested, so delisted or failed names are excluded
(survivorship bias). A single 12-month window is one historical path, not a forecast.
Hypothetical performance results have many inherent limitations. No representation is being
made that any account will or is likely to achieve profits or losses similar to those shown.
There are frequently sharp differences between hypothetical results and the actual results
subsequently achieved by any particular trading program. Past performance is not indicative
of future results.
Market data is supplied by unaffiliated third parties and may be delayed, incomplete, or
inaccurate. Insta Stock Backtest, LLC does not warrant that the site, the data, or any simulation is
complete, current, or error-free.
You alone are responsible for any investment or trading decision you make after viewing a
result. Use of this site is at your own risk. The service is provided “as is” and
“as available,” without warranties of any kind, express or implied, including
merchantability, fitness for a particular purpose, and non-infringement. To the fullest
extent permitted by law, Insta Stock Backtest, LLC and its operators are not liable for trading losses,
lost profits, data errors, outages, or any other damages arising from use of the service.
Any liability related to a paid run is limited to the fee you paid for that run.
By using Insta Stock Backtest you agree to the Terms of Service and
Privacy Policy. If you do not agree, do not use the site.