Bought Nvidia at the low, twice · NVDA strategy | Arch Public Strategy Lab

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Bought Nvidia at the low, twice · NVDA strategy | Arch Public Strategy Lab

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NVDA Stocks Accumulation Short term

Bought Nvidia at the low, twice

Strategy #99 · NVDA · Daily chart · Market Wave

A strategy for buying Nvidia during sharp falls and selling the full position on recovery.

Backtested As of 11 Nov 2026 · 1 Jan 2026 – 11 Nov 2026 · $100,000 starting capital

Strategy return

+25.5%

Buy and hold NVDA

−8.0%

Buying NVDA monthly

−12.9%

Test length

10 months

CAGR not shown under a year

The chart

Every trade from the backtest, straight from TradingView.

Blue arrows: buys, with order size Magenta marks: sells 1 Day bars

Against its benchmarks

Bought Nvidia at the low, twice +25.5%

Buy and hold NVDA −8.0%

Buying NVDA monthly −12.9%

Total return over the test period, backtested.

Past and backtested performance does not guarantee future results.

Results at your account size

Your account size

$

Net profit

+$25,496

Ending value

$125,496

Cash profit

+$34,169

Asset accumulated

621 NVDA

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From the case study

NVDA: turning a year of crises into profit, over +20% three ways

Strategy #99, Bought Nvidia at the low, twice, is the scenario “Bought the low, twice”. Read how it played out, chart by chart.

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The case study is dated; the results above are this strategy's published version.

How it trades

How it trades

Buys a partial position when Nvidia falls below its price band, but only when the price is below its average cost. Sells the entire position in one trade, only when the price is above its average cost. Between signals it holds cash, waiting for the next dip below the band.

Algorithm

Market Wave

Chart

1 Day

Horizon

Short term

Aim

Accumulation: aims to grow how much of the asset you hold

Test period

1 Jan 2026 – 11 Nov 2026

Starting capital

$100,000

Fees and slippage

Not stated

Data source

TradingView backtest

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Past and backtested performance does not guarantee future results. Figures come from TradingView backtests over each strategy's own test period. © 2026 Arch Public.

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