
Arena Blog
Data-driven insights on trading strategies, backtests, and market analysis.
97–108 of 181 posts · page 9 of 16
SpaceX IPO: Buy the Hype or Wait? What the Biggest IPOs Did in Their First 6 Months
Tomorrow, SpaceX is expected to do something no company has done before: raise roughly $75 billion in a single offering.
The Invisible Settlement Layer: Bitcoin, Stablecoins, and the Kill Switch
The most consequential Bitcoin payments story of the past year isn't a price chart. It's a transaction you'll never see.
Nobody Sees the Future — Why No AI Trading Tool Can Beat the Market
LLMs don't trade profitably. But why would anyone expect them to? The honest answer is uncomfortable: nobody can see the future, and markets are explicitly the opposite of a forecasting machine — they're a mechanism for the ongoing negotiation of disagreement. On the Grossman-Stiglitz paradox, why one side of every trade is convinced it's smarter than the other, and why AI trading tools mathematically neutralize themselves the moment they become widespread.
MACD Cross is live — two modes from one classic
A new strategy is live: Gerald Appel's MACD from the 1970s, now fully tunable (default 12/26/9). Two trade modes — classic signal cross or histogram flip — give you a reactive and a confirming variant from one indicator.
Bollinger Bands + RSI is live — the strict mean-reversion play
A new strategy is live: BB+RSI combines two classics into a strict mean-reversion setup. BUY only when price is at the lower Bollinger band AND RSI is oversold — two conditions, fewer false signals. Pro+.
EMA Cross is live — the configurable cousin of Golden Cross
A new strategy is live: two configurable EMAs cross — BUY on the upward cross, SELL on the downward cross. Default 9/21, faster and more tunable than Golden Cross. Plus optional volume- or price-confirmation filter to fight whipsaws.
New strategy: Take-Profit / Re-Entry — lock in gains, buy the dip
The Take-Profit / Re-Entry strategy combines two simple rules: sell when your target gain is reached, re-enter when price drops enough from the post-sell high. No indicator noise — just price and two parameters.
You're Building with AI Coding Agents. Your Codebase Is Drifting. Here's Why — and the Fix.
We wrote 500 lines of rules. Claude read them — and still wrote text-[13px] instead of text-xs. The mistake wasn't Claude. The mistake was confusing documentation with enforcement.
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.
Funding Rates as a BTC Signal: We Tested It. It Doesn't Work The Way You Would Think
High funding rates signal overheated longs — a warning. Negative funding means shorts capitulating — a buy signal. The logic seems solid. We tested it across 6.7 years of BTC data. The results were the opposite of what we expected.
Bollinger Bands Squeeze is live — when the bands get tight
A new strategy is live: John Bollinger's classic volatility-cycle play. Wait for the bands to squeeze tight, then ride the long breakout above the upper band. Default 20/2.0/0.1. Pro+.
Look-Ahead-Bias — The Most Common Mistake in Self-Built Backtests, and Why 200% Returns Usually Lie
Most traders writing their own backtests accidentally look into the future. The result: spectacular backtests, collapsing live performance. A look at the subtlest methodology mistake in systematic trading — from the common `shift(-N)` to the innocuous `.mean()` aggregation without rolling window — and why we manually check every Backtesting Arena strategy for bias before release.
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