I trade a mean reversion strategy using structured scaling. I enter when price is statistically stretched, and if it moves further against me, I add positions at predefined levels to improve my average entry. I then close the entire basket once price reverts back toward its mean. The edge comes from three things: 1. Selecting pairs that historically mean revert 2. Entering at statistically stretched levels 3. Structuring entries so I donβt need perfect timing This results in a high win rate and consistent small gains. Example below on trading chart shows AUDUSD enter into a sell, when price goes outside of the blue line. Price continued to go up and the bot added more trades. However as it was already running out of momentum it eventually pulled back. At least for a little and enough for all my trades to close in a total profit. When price goes in 1 direction for a period of time it will eventually pull back. This is due to exhaustion in the market and where the big banks sell their positions to make profit. This causes a price reversal and typically will revert to the average price (mean) Depending on the bot, pair etc a typical price movement of 150-300 points is enough to hit profit. In the sample shown it was about 150. Staying in the trade long enough to ride the wave is the whole trick. Starting small and having enough equity, time to get the price reversion is key. You must resist the temptation to add more to the first trade and accept a lot of small wins. The acc will grow and compound over time. My acc is still here when others have blown theirs. I havent had the quality time to focus on trading lately. But the bots have still produced daily profits with less than 1% DD. during Iran news, Fed speeches, Red news days etc. I could technically 2x my lot size now and still be safe. But I am trying to prove a point of risk management over profits. Hope this makes sense