Data Over Emotion

Great investing isn’t about being smart. It’s about not being emotional.

The rules make the trades, no fear, no greed, no second-guessing. See what that produced across stocks, ETFs and crypto.

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All case studies

The three figures on each card come from one window of that study, named on the card, so they always cover the same dates.

Strategy return
what the algorithm's account returned
Buy and hold
bought on day one, held to the end
DCA
the same dollar amount on a fixed schedule

How to read a case study

Showing 33 of 33 case studies

SymbolBTC · ETH · XRP · SOL

Ride The Market Wave

Strategy return+452%

Buy and hold+44.7%

“Growing BTC with BTC”, February 17, 2021 to April 19, 2026

Crypto · · 8 min Read the case study
SymbolBTC treasury

The Pioneer

Strategy return+35%

Buy and hold+8.5%

“Arch Public blended CAGR”, 2021 to 2025

Crypto · · 7 min Read the case study
SymbolBTC · ETH · SOL · XRP

Enduring The Drop

Strategy return+328%

Buy and hold+28.9%

“Bitcoin: higher timeframes reduce noise”, October 20, 2021 to November 21, 2025

Crypto · · 8 min Read the case study
SymbolBTC · ETH · XRP · SUI · SOL

Thriving in Turmoil

Strategy return+421.55%

Buy and hold+25.85%

“Solana”, September 7, 2021 to April 1, 2024

Crypto · · 7 min Read the case study
SymbolSUI · BTC

The SUI > BTC Flywheel

Strategy return+20.4%

Buy and hold+1.73%

“Combined SUI > BTC flywheel strategy”, January 1, 2025 to July 30, 2025

Crypto · · 4 min Read the case study

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Backtested results. Past performance does not guarantee future results. For educational purposes only.

How to read a case study

Every study uses the same starting point and the same terms, so one ticker can be read against another.

The starting point

$100,000

Every run starts from the same hypothetical $100,000 in cash and zero shares.

Strategy return
What the algorithm's account returned over the window.
Buy and hold
Buying on day one and holding to the end.
DCA
Dollar-cost averaging: buying the same dollar amount on a fixed schedule.
Outperformance
The strategy's return minus the benchmark's, in percentage points.
Realized profit
Gains the algorithm actually sold and banked as cash.
Window
The start and end dates of one run. Most studies test three.
Reading a gap

In the MSFT study the strategy returned +111.5% and buy and hold returned +49.7% over the same window. That is an outperformance of 61.8 percentage points, not a return of 61.8%.