IONQ
RGTI
QBTS
+8

Quantum Hardware Race

SPOT · 11 assetsmoderate risk1d

Holds: IONQ, RGTI, QBTS + 8 more

The race to build a useful quantum computer is no longer theoretical — it's a funded arms race with three competing architectures fighting to win. Ion trap systems from IonQ are live on all three major clouds. Superconducting qubits from Rigetti are running DARPA contracts. Quantum annealing from D-Wave is already solving real optimization problems for Mastercard and Lockheed Martin. The U.S. government committed $2.7B through the National Quantum Initiative, Google achieved error correction a decade ahead of schedule, and Microsoft declared quantum-readiness a national security priority. This strategy bets directly on the hardware layer — the companies physically building quantum processors, not just benefiting from the hype. It's the highest-conviction quantum play: heavy on the pure-play builders racing for quantum advantage, supported by Alphabet, IBM, and Honeywell who are funding their own quantum divisions with hundreds of billions in existing cash flow. If one architecture wins the race, these are the stocks that 10x. If the whole sector lifts, you own all three approaches.

byCharvi Agarwal
·
0.0 (0)
·0 subscribers

Price

Free

Subscribe for Free
Volume$0
Capital Deployed$0
Total Trades0
PublishedMay 2026

Performance

Performance

1Y

+60.50%

Win Rate

44.4%

Drawdown

-10.5%

Strategy+60.5%
S&P 500+85.6%
$95K$114K$133K$151K$170KJul 25Aug 25Sep 25Nov 25Dec 25Feb 26Mar 26May 26Jun 26Jun 26

Returns

Returns

Historical backtest returns by calendar year. Positive bars grow up, negative bars grow down from the zero line.

2022*-23.3%
2023+41.9%
2024+25.2%
2025+44.9%
2026*+18.3%

Calculator

Returns Calculator

$

This strategy

$23,363

+$13,363 (+133.6%)

S&P 500

$18,559

+$8,559 (+85.6%)

For illustration only. This applies the strategy's backtested (simulated) return over the stated 5-year backtest period to your amount — it is not a forecast or a projection of future results. Backtested results have inherent limitations, do not reflect actual trading or the deduction of subscription and trading costs, and no representation is made that any account will achieve similar results. Investing involves risk, including possible loss of your entire investment.

Summary

Performance Metrics

Win Rate

39%

of 367 closed trades

Sharpe Ratio

1.25

vs 0.94 S&P 500

Max Drawdown

25%

backtest period

Profit Factor

1.71

$1.71 earned per $1 lost

Intelligence

AI Strategy Analysis

Configuration

Strategy Parameters

Timeframe

1d

1d candles

Position Size

3%

per trade

Take Profit

dynamic target

Stop Loss

per signal

Max Open

1 position

concurrent

Max Drawdown

25.2%

historical peak

Risk Disclosure: Trading in financial instruments and cryptocurrencies involves substantial risk, including the possible loss of your entire investment, and may not be suitable for all investors. Cryptocurrency prices are highly volatile and can be affected by external factors such as financial, regulatory, or political events. Trading on margin or with leverage increases potential losses. Past performance is not indicative of future results.

Hypothetical Results: Backtest and simulated performance results have inherent limitations. Unlike actual trading, simulated results do not represent real executions and may not account for factors such as market liquidity, slippage, or execution timing. Simulated strategies are often designed with the benefit of hindsight. No representation is made that any account will achieve results similar to those shown.

Not Financial Advice: The information provided on this platform is for informational purposes only and does not constitute investment, financial, or trading advice. We do not recommend any particular trading strategy or instrument. Please conduct your own research and consult with a qualified financial advisor before making investment decisions.

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