
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
1–12 of 28 posts · page 1 of 3
Pi Cycle called four Bitcoin tops. The all-time high wasn't one of them.
"3 for 3" sounds like a perfect Bitcoin indicator until you ask: three out of how many? Pi Cycle, where the count is known, hit four tops and stayed silent at four others, the highest among them.
In crypto, a strategy's first job is the exit. 200,000 backtests show why.
Across 405 crypto pairs, buy and hold loses money on 83 % of them. What 197,435 backtests say about what a strategy does first, what decides whether it earns, and why the bar for any altcoin is Bitcoin.
Five Questions for Any Trading Algorithm — Even the Good Providers Leave Out the Drawdown
The most detailed factsheet among three providers checked lists hit rate, best trade and worst trade — but not how far the portfolio fell or for how long. Five questions that make a return readable.
A Backtest Parameter You Never Set Moves Your Return by up to 12 Points a Year
A backtest has more parameters than the strategy description lists. The start day of a 3-day candle grid alone moves annual return by 6.66 points on average. What that means for every interval comparison, and the three questions that make the effect visible.
Why your 5× grid bot rarely gets liquidated — and why that isn't safety
A leveraged long grid was liquidated in 1 of 70 ninety-day windows since 2017 — because a grid never deploys more than half its notional. What leverage does instead: it deepens every drawdown and pays funding in the down windows.
Your grid bot is not a hedge. It is half a portfolio in cash.
A grid bot had the flatter drawdown in 138 of 138 windows since 2017, ranges set in advance. Not because it trades well: because it never invests more than half the money. What that protection costs in rally windows, and what a hindsight range was worth.
What 100,000 Backtests Say Actually Works in Crypto — and 4 Questions That Expose a Lying Number
Four findings you can trade on — win rates, timeframes, regime filters, costs — and four questions that expose any performance claim. From 100,000 systematic backtests.
Coin Days Destroyed as a Bitcoin Signal: The Pattern Is Real. The Edge Is Not.
Rising Bitcoin while long-term holders sit still counts as deeply bullish on-chain. We replicated the pattern — and asked the one question missing: compared to what?
The Median Altcoin Loses to Bitcoin in 3 of 4 Quarters. "Uptrending" Makes It Worse.
Screeners label altcoins "uptrending vs BTC" and stop there. We measured what followed the label across 370 pairs and 458,000 days — and what followed any day.
When a Backtest Result Is Just Noise: Four of Our Own Studies That Failed
When is a backtest result a false positive? Four of our own studies failed — against four rules we locked before looking. What each one caught.
Backtest baseline: how our comparison value broke — and what 20 flipped verdicts show
The baseline in a backtest is what everything else is measured against. Ours was 62 % runs with a filter switched on. What that shifted, and what we changed.
Leverage Backtest: Why More Leverage Rarely Means More Return
A leverage backtest rarely shows more return – often less. Why effective exposure = position × leverage decides, and where 5× would have liquidated your strategy in 2018.
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