Scalping

How Traders Are Improving Scalping Algos with Mean Reversion Logic (Lessons from the Community) TL;DR A post on the r/algotrading subreddit detailing improvements to a mean reversion scalping algorithm generated significant community engagement — 253 upvotes and 70 comments — signaling strong practical interest in the topic. The discussion centers on refining scalping strategies by incorporating mean reversion logic, a popular approach in algorithmic trading. Hyperliquid, a decentralized perpetuals trading platform with API access, is noted as a relevant venue for running this type of algorithmic strategy. If you’re building or fine-tuning a crypto scalping algo, this community thread is one worth digging into. ...

Slippage Management in Scalping Algorithms: What Traders Are Actually Doing TL;DR Slippage remains one of the biggest profitability killers in high-frequency scalping strategies, yet there’s no universal solution. The algo trading community on Reddit discusses practical approaches ranging from conservative position sizing and limit orders to sophisticated order book analysis and latency optimization. What’s clear: ignoring slippage in backtests leads to strategies that look profitable on paper but bleed money in live trading. Real traders are focusing on realistic slippage modeling, exchange selection, and accepting that some market conditions simply aren’t worth trading. ...