What Is the 1:3 Filter?

Most trades you see shouldn't be taken. The 1:3 filter is how you find out which ones, before a single dollar goes in.

Chad compares it to a casino. A one to one risk to reward is "the best odds you can find in a casino," about what baccarat offers at near 50/50. The 1:3 filter exists so your trading account isn't stuck at those odds.

So what does the 1:3 filter actually check?

Is the realistic reward at least three times the risk? It's a gate, not a target you hope for once you're in. Measure in a fixed order. First the stop, at the invalidation level. Then the target, at the next real structure in the trade's direction. Then divide reward distance by risk distance. Below 3, the trade is rejected, no matter how good it looks.

Why is the 1:3 filter three and not two?

Break-even math. With a 1:3 ratio, each win pays 3R and each stopped trade costs 1R, where R is the fixed dollar amount you risk. Four trades with one win and three stops net to zero: +3R minus 3R. So the break-even win rate at 1:3 is one in four, or 25%, before fees and slippage. At 1:1 you would need to win half your trades just to stand still, and costs push that higher.

The filter doesn't make trades more likely to win. It lowers how often they need to (expectancy has the full math).

And the part signal sellers never mention... it quietly forces two habits most traders skip: waiting for a good entry, and having a plan before you click.

What happens when you wait for a 1:3 setup?

Illustrative numbers only. SOL is at $100, sitting halfway between support and resistance. Structure says the stop belongs at $96, and the next resistance is $109.

• Risk: $4. Reward: $9. Ratio: 1:2.25. Rejected.

You don't move the stop or stretch the target. You wait. Price pulls back to support at $98 and holds. The stop is still $96, because the structure hasn't changed.

• Risk: $2. Reward: $11. Ratio: 1:5.5. Passes.
• Size: 1% of a $10,000 account is $100; $100 divided by $2 gives 50 SOL, about $4,900 of exposure.

Same chart, same stop, same target. Only patience changed, and the trade went from failing to clearing it comfortably.

Where does the 1:3 filter sit in the Decision Protocol?

The Decision Protocol runs thesis, invalidation level, position size, total exposure, entry and exit plan, journal, review. The 1:3 filter is applied once the thesis, invalidation and entry and exit plan are known, and before size is finalized. If a setup can't pass, nothing else needs checking.

Chad treats it as the first confluence, not the last: "I don't take any trades under one to three." A failed check is rarely the market. It's entering too early or too late, often halfway between two levels instead of at one of them. As he says, "Most trades that you might see shouldn't be taken." The most boring rule in trading, and it protects more accounts than any indicator ever sold.

How do people cheat the 1:3 filter?

They make the numbers fit, right? A trader sees 1:2, nudges the stop closer until it reads 1:3, and calls it a pass. Now the stop sits inside normal noise, a routine wick takes it out, and the ratio was never real. The stop goes where the idea is proven wrong. Full stop.

The second cheat is stretching the target past the next resistance, so it passes on paper but has to break through a wall to get paid. If the honest numbers say 1:2, wait for a better entry or skip it. Size, leverage and fees can't fix a ratio the chart doesn't offer.

What's your 1:3 filter homework?

Pull up your last ten trades and measure each from its real stop to its real structure target. Count how many would have passed. That count tells you more than your balance does.

Learn where the filter sits in your process in crypto risk management and learn crypto trading, then read the risk to reward filter, the Decision Protocol guide and crypto position sizing. Related terms: risk reward ratio and profit factor.