
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
We Just Shipped an API That Charges $0.01 Per Call — In USDC, On-Chain, No Account
Phase 4 is live: the same Bitcoin cycle data, on-chain indicators, and aggregated strategy insights now reachable through three channels — REST, MCP, and x402 pay-per-call in USDC on Base. No account required for the third. An AI agent gets HTTP 402, signs a USDC authorization, retries, and has the data three seconds later. What's actually live, why we built it this way, and the Coinbase detour that cost us a day.
We're Opening Our API: REST + MCP + (soon) x402
For 18 months we've been quietly building Backtesting Arena — a platform where 500+ users have run 10,000+ backtests across Bitcoin, stocks, ETFs, commodities, and forex. Daily cycle scores, on-chain indicators, sentiment dashboards, strategy insights. All powered by the same data layer that's been running on a private quasi-API.
AI Agents and Crypto Payments: Where This Is Really Heading
This is the crypto-rail deep-dive companion to our earlier piece [AI and the Future of Payment Systems](https://tradingstrategies.work/blog/ai-future-of-payment-systems-2026), which covered the broader fintech picture including Visa Intelligent Commerce and Mastercard Agent Pay. Here we zoom in on what's happening on the crypto layer specifically.
Does Dual Momentum Really Beat Buy & Hold? We Backtested It.
Dual Momentum supposedly beats Buy & Hold on return AND drawdown. Our GTAA-5 backtest (2007–2026) says otherwise: not on return — but clearly on drawdown.
The 200-Day Line: Beats Buy & Hold on Crypto, Sleep-Well on Index ETFs
The 200-day line is the most-cited trend filter in markets: invested above it, out below it. We tested it as a standalone strategy across 110 assets. The result is not one-size-fits-all — on crypto it beats Buy & Hold on return AND drawdown AND Sharpe; on index ETFs it gives up almost no return while nearly halving the drawdown; on single stocks it works poorly. An honest map of where regime timing pays and where it doesn't.
From Elliott Wave to an Actual Trade Plan: A Tool That Makes Your Count Falsifiable
Elliott Wave is subjective in real time. This tool doesn't count waves — it makes your count falsifiable: dip, target, invalidation set upfront, sized to risk.
How Leveraged and Inverse ETFs Work — and Why They Decay
A 2x ETF promises double the index move — but only for a single day. The daily reset creates a decay that quietly grinds it down in choppy markets. How it works, who's on the other side, and why "×2 the index" is the most classic backtest mistake there is.
How ETFs Actually Work — and Who's on the Other Side
An ETF trades like a stock but is really a basket. Why does its price stay glued to the basket's value? An invisible arbitrage crew. How ETFs work, who's on the other side when you buy — and which counterparties (swap, securities lending) almost nobody sees.
How Volatility (VIX) Futures Work — and Who's on the Other Side
Volatility futures don't trade a price — they trade expected movement, fear itself. How the VIX works, why you can't buy it directly, who sells the crash insurance, and why "Volmageddon" shows how dangerous the other side can get.
How Perpetual Swaps and Funding Work — and Who's on the Other Side
The perpetual is crypto's most-traded derivative — a future that never expires. To stop it drifting from spot, longs and shorts pay each other funding. How it works, who's really on the other side of your leveraged long, and why funding flips whole strategies.
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