Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
1–12 of 48 posts · page 1 of 4
Backtesting Arena Is Now a Claude Connector
Backtesting Arena can now be connected to claude.ai with a single click — 65 tools for Bitcoin cycle, on-chain data, macro regime and validated backtests. Instead of generic web-search answers, Claude pulls real, DSR-corrected and point-in-time data. Plus a new interactive tool: the Dip Decision calculator.
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.
The AI Copilot in Your Chart Is Reliable When It Measures and Invents When It Describes Itself
TradingView's chart copilot can connect to your own MCP servers. Tested on the Backtesting Arena connector: it answered market questions correctly and invented instructions about its own settings four times. Why that happens, and how to tell which answers to check.
Agent Payments: Why No Standard Checks Whether the Work Was Any Good
Agent payments are standardised: authorisation, identity, mandate, settlement. Whether the work was any good, nobody checks. Why that is a boundary and not a gap.
Building for AI Agents: 10 Lessons From Running 73 MCP Tools
Your most thorough reader gets the least to read. Ten places where building for agents differs from building for people, with numbers from production.
DCA vs. Lump Sum: What 346 Bitcoin Entries Actually Show
DCA vs. lump sum for Bitcoin? Across 346 historical entries the lump sum won 60 % of the time — but DCA halved the downside. The distribution instead of an opinion.
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.
Consensus Is Not an Edge: Why a Quorum of Correlated Simulations Isn't One
An AI swarm turned $1,000 into nearly a million? The number falls apart at its own source. Why consensus from correlated simulations is not an edge.
Market Data Licensing: How Price Data Is Licensed — and Why We're Switching Off Four Asset Classes
Market data licensing is tiered, and the decisive line runs between derived values and raw prices. What that costs — and why we're switching off four asset classes for now.
What Agents Actually Pay For in Finance Research — The Provider's View
Everyone talks about the agent economy. From the provider side — I run x402-paid financial endpoints — what agents actually buy today is sober: ingredients. And where the line runs between real and vision.
Bitcoin On-Chain: How Big Is the Wrapped-BTC Ecosystem Really?
"Bitcoin is going productive" — they say. Wrapped BTC brings BTC into DeFi. How big is it really, who dominates, where are the catches? A sober map.
40,000 Backtests Later: Which of Our Own Strategies We're Killing
We audited 40,000 of our own backtests — and benched several of our own strategies in the process. Here is what we killed, what we reactivated, and the uncomfortable core lesson: whether a strategy is "good" depends less on the strategy than on the asset class it runs in.
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