Run a few uncorrelated algos

Two small trading posts on April 9, 2026 landed on the same idea: if one algorithm is your whole account, one bad market phase can drag down your whole equity curve. Arrow Algo published a diversification guide that day saying traders should run multiple algorithms at the same time instead of relying on a single setup. (arrowalgo.com) Algorithmic trading means a computer follows preset rules like “buy breakouts” or “sell mean reversions” without making a fresh human decision on every trade. The problem is that markets change shape, and a rule set that works in a fast trend can stall when prices chop sideways. (thinkmarkets.com) That is where correlation comes in. Correlation is just a score for how often two strategies win and lose together, and Arrow Algo’s guide says a coefficient below 0.3 is a meaningful sign that two systems are not moving in lockstep. (arrowalgo.com) A trend-following strategy and a mean-reversion strategy are the standard example because they usually like opposite conditions. Arrow Algo says trend-following tends to do better in directional markets, while mean reversion tends to do better when prices bounce around a range. (arrowalgo.com) Running both does not guarantee bigger profits every week. What it can do is make the combined line of account value look less like a roller coaster, because one system may still be working while the other is cooling off. (arrowalgo.com) The practical advice in the April 9 guide was not “add ten bots.” It was “start with two or three strategies,” because each extra system adds more positions, more capital-allocation decisions, and more ways to misread risk. (arrowalgo.com) The other catch is that diversification cannot rescue a bad strategy. Arrow Algo says each system has to show a proven edge on its own first, because combining three losing algorithms just gives you a diversified way to lose money. (arrowalgo.com) Traders usually try to separate strategies in three places: method, timeframe, and market. Arrow Algo’s examples were mixing trend-following with breakout or mean-reversion logic, pairing short-term trading with swing trading, and spreading exposure across different coins such as Bitcoin, Ether, and Solana. (arrowalgo.com) That is the full point behind the posts: not every algorithm needs to be a superstar if the basket is built to survive different market weather. In practice, a trader with two or three uncorrelated systems is trying to build a team where one player can still score when another one is stuck on the bench. (arrowalgo.com)