Same trade. Same entry. Three risk levels. I ran the experiment inside @tryquantio using a hypothetical $10K account 👇 The setup: BTC long Entry: $83,000 Stop: $80,500 Targets: $85K / $90K • 0.5% risk → $50 → 0.02 BTC • 1% risk → $100 → 0.04 BTC • 2% risk → $200 → 0.08 BTC Same thesis. Same entry. Same stop. But the 2% scenario is 4x the position size of the 0.5% scenario. Then I asked Quant AI to account for leverage, fees and slippage. A bad stop fill could push the estimated loss to roughly: $55 / $111 / $221 And Quant AI flagged another important risk: at sufficiently high leverage, liquidation could happen before the planned stop is reached. That was the real takeaway for me. Your risk isn't just the setup. It's the size you put behind it. The 1% scenario gave me a useful middle case for this hypothetical experiment, without making the biggest possible position the goal. I tested the same setup three ways using Quant AI. Try the experiment yourself here: https://t.co/pvhsJ8QvNb #QuantAIPioneers