
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
13–24 of 26 posts · page 2 of 3
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.
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.
Oracle Manipulation in DeFi: What Happens When a Protocol Trusts Bad Data
Oracle manipulation drained millions from Ostium — not through a contract bug, but through bad data. The failure modes when DeFi protocols trust their price feeds.
Triple Strike Reversal — A Strategy Not Made to Stand Alone
Most trading strategies are sold to you as complete solutions. "Run this system, make money." Enter signal. Exit signal. Repeat. Base rate win percentages plastered across the landing page.
AI in the Drug-Discovery Race: Shovels, Bets, Giants
Asking which company is well-positioned in the AI drug-discovery race is really three questions at once. We sort the field soberly into shovels, bets, and giants — and show which layer earns regardless of any single trial outcome.
The Agentic Brokerage: Why AI Signals Make Honest Backtesting More Important, Not Less
A thesis says trading platforms are going "agentic" — AI monitors, signals, executes. The structural part is right. The blind spot sits where money is lost.
Option vs. Annuity Machine: Two Ways to Be Invested in the Same AI-Healthcare Sector
"Invested in AI healthcare" can mean two almost opposite things. Two real companies show it: an annuity machine with ~86% recurring revenue — and an option with not a single approved drug. Same label, opposite risk DNA.
Grid trading bots, honestly evaluated — what "consistent profits" leaves out
Grid bots are marketed as "low-risk" and, with AI, as a source of "consistent profits." We checked the claims against the mechanics: a grid earns on sideways oscillation, not trends — and "always trading" means trend-chasing. A fair breakdown, plus how to actually evaluate a grid bot.
New Strategy: BTC Signal — RSI/SMA for Altcoins
A new strategy for altcoins is live: trade any alt with RSI(14) / SMA(14) computed on BTC/USDT instead of on the alt itself. The idea: BTC is the bellwether — when the macro regime is on, trade alts; when it isn't, get out.
The Bitcoin Filter That Flips 88 % of Top-50 Alts into the Green
34 of 50 top-50 alts have lost money on average across every entry point — measured in USD. One strategy flips that. It doesn't look at the alt. It looks at BTC.
When You Measure Alts in BTC, Bear is the Baseline
We tested our RSI/SMA strategy on 77 actively trading Binance BTC-pairs (XAUT and WBTC excluded). 92% of them lost against BTC over 8 years. The strategy still beats Buy & Hold on 88% of pairs — through getting out, not through outperformance.
Buy Now or Wait for the Dip? The Math Behind the Decision
Buy now or wait for the dip? Both camps believe in rising prices — yet pursue opposite strategies. An expected-value calculation reveals which one actually wins, and under which conditions the math flips.
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