Anyone who has never set up a grid bot fails at the first step: range too tight → bot is immediately out of the corridor. Range too wide → barely any trades, no profit. We've built an auto mode into the grid backtest that suggests range and grid count based on 7-day volatility — KuCoin style. Plus the custom mode for power users that was already live.

A 5-asset what-if simulator: Bitcoin, S&P 500, Ethereum, Gold and Cash. See your mix vs. 100% Bitcoin — with Sharpe, max drawdown and volatility, not just end value.

41 days ago, the first backtest ran in the Arena. Today, we crossed **10,000**. Average pace: **248 backtests per day**, every day. We didn't see this coming — and the numbers say more about you than about us.

A single number from 0 to 100, but built from 8 market indicators instead of one. Bullmarket stage, MVRV, Mayer, funding rates, hash ribbons — aggregated, transparent, free.

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.

Six frontier LLMs got $10,000 each and were told to autonomously trade crypto perps. Four lost more than 60 percent. The two winners were Chinese. What this really tells us isn't "China wins AI." It's: LLMs are language probability models, not market actors. A sober look at the latest empirical evidence that autonomous AI trading doesn't work.

CAGR assumptions are smooth. Bitcoin isn't. Anyone planning in a hypothetical world of constant 20% growth is planning for a world that never existed. We've added a Historical Replay mode to the Bitcoin Lifestyle Calculator — pick a start year and we run your strategy through the actual BTC history with Mt.Gox aftermath, COVID crash, FTX collapse, and ATH hype. Here's why that's often brutal and always honest.