Calculator
Risk Reward Calculator
Risk Reward Calculator
Risk/Reward Ratio (Reward : Risk)
1 : 3.00
Total Risk
$425
Total Reward
$1,275
Setup Analysis
This long setup risks $8.50 per share to make $25.50 — a 1 : 3.00 risk-reward ratio. At this ratio you only need to win about 25% of similar trades to break even, leaving wide room for error. The catch: lopsided payoffs usually come with lower hit rates, so judge the setup's probability honestly.
*This tool evaluates the structure of a trade at the prices you enter, not the probability of any outcome. Actual fills, brokerage, slippage and gap risk are not captured. Nothing here is a recommendation to buy or sell.
Risk/Reward: The Maths Every Trade Must Pass Before Entry
Before any trade is placed, disciplined investors ask one structural question: what stands to be made versus what stands to be lost if the plan goes wrong? The risk/reward ratio answers exactly that by comparing the distance from entry to stop loss against the distance from entry to take profit. A setup that risks $1 to make $3 has a 1:3 ratio. This number is not a prediction - it is a property of the trade's structure, and it sets the win rate the trade must achieve just to break even. A 1:3 trade breaks even at a 25% hit rate; a 1:1 trade needs 50%; an inverted 2:1 risk-to-reward structure needs 67%. The maths does the worrying so you do not have to. For Australian investors and active traders this discipline compounds over hundreds of trades. The most common failure in trading is not bad analysis but bad structure - entering setups where the stop must sit far away and the target is close, demanding an unrealistically high hit rate just to stay flat. By computing the ratio before committing capital you can screen out structurally broken setups no matter how compelling the story sounds. The calculator works for both long and short positions on ASX-listed shares and ETFs, converts the risk and reward into dollars at your position size, and reports the breakeven win rate so the trade's required accuracy is visible before you take it.
Behind the Formula: Distance, Direction and Breakeven
The risk/reward ratio compares two price distances measured from the entry. For a long trade, risk per share is the distance from entry down to the stop loss and reward per share is the distance up to the take profit; for a short trade the directions flip, so risk is the distance up to the stop and reward is the distance down to the target. The calculator encodes direction with a sign so the same formula works both ways. The ratio is reward divided by risk, expressed as 'risk one to gain that multiple'. Multiplying each per-share figure by your position size converts the structure into actual dollars at stake. The second output is the breakeven win rate - the minimum fraction of similar trades that must be winners to break even, ignoring costs. It comes from the relationship Win Rate x Reward = Loss Rate x Risk, rearranged to Win Rate = Risk / (Risk + Reward). A trade with more reward than risk needs a lower win rate to survive, which is why favourable ratios are so forgiving across many repetitions. The calculator also guards invalid setups - for a long trade the stop must sit below entry and the target above it - because a malformed structure produces a meaningless ratio and usually a losing plan.
Expert Insights
Set the Stop From the Trade, Then Check the Ratio - Never the Reverse
The most common structural mistake is placing the stop wherever makes the ratio look good rather than where the trade idea is actually invalidated. A stop belongs at a real level - beyond support, beyond a prior swing, beyond a volatility band - because that is where your thesis is proven wrong. Measure the ratio from that honest stop; if the result is unacceptable, skip the trade or find a better entry. A favourable ratio built on an arbitrary stop is false comfort.
The Ratio and the Win Rate Are Inseparable
Ratio alone is not edge. A 1:5 setup sounds fantastic, but if it only wins 15% of the time it still loses money, while a 1:1.5 setup winning 55% is highly profitable. The breakeven win rate output shows exactly which side of the line you are on. Always pair the structural ratio with a realistic estimate of the setup's actual hit rate - from backtesting or a trade journal - before judging the trade worth taking.
Let Brokerage and Spread Thin Your Edge, Not Kill It
Every round trip on the ASX costs brokerage - often $5 to $30 a side for retail accounts - plus the bid-ask spread and, for less liquid small caps, meaningful slippage. On a trade risking a few hundred dollars, a $50 round trip materially worsens the true ratio. Size trades so fixed costs stay a small fraction of the risk budget, and check that your breakeven win rate still clears your realistic hit rate after costs, not just before them.
Actionable Tips
- 1
Reject Any Setup Below Your Minimum Ratio Before You Enter
Decide your structural floor in advance - many active traders refuse anything under 1:2 - and treat it as a hard rule. Before placing a trade, run this calculator and walk away if the ratio falls below the line. Pre-committing to the threshold removes the temptation to rationalise a bad structure in the heat of a compelling story.
- 2
Journal the Ratio and Compare It to Real Outcomes
Track the planned ratio for every trade alongside the actual outcome. Over time you will see whether your exits respect the planned levels and whether your win rate clears the breakeven implied by your average ratio. This single comparison usually reveals whether slippage, early exits or poor structure is the real drag on performance.
- 3
Stress the Stop for Gaps
Stops do not guarantee fills at the stop price, especially overnight or through earnings and takeover announcements - a reality ASX traders know from sudden halts. Mentally widen the stop by a buffer and re-run the ratio. If the trade breaks your minimum with a realistic gap allowance, it is too fragile for your circumstances. Favor setups that survive a few points of adverse slippage.
Real-World Examples
Sam Stops Forcing Bad Entries
Sam kept taking trades with lopsided structure - wide stops, close targets - because the setups looked exciting. Running the calculator showed his typical trade required a 62% win rate just to break even, a rate no casual setup sustains. He began rejecting any trade below 1:2 and immediately stopped bleeding money on structurally doomed entries, even though nothing about his analysis had changed.
Renee Sizes a Swing Correctly
Renee planned a long ETF swing risking 90 cents a unit to make $2.40 - a 1:2.7 structure. With a $500-per-trade risk budget she bought 550 units, capping her loss near $495 and targeting around $1,320 upside. The maths let her take full conviction in the idea while keeping the downside strictly limited, and she held the position confidently because every number was decided before entry, not during the drawdown.
Omar Learns the Short-Side Maths
Omar shorted a resource stock at $18.60 with a $20.10 stop and $15.40 target. The calculator confirmed a healthy 1:2.1 reward-to-risk on the downside, and it also surfaced the key shorting caveat - the stop sits above entry, so a breakout gap or a surprise capital raise works against him faster than any long trade. He reduced size to account for gap risk and sized the position honestly rather than by conviction alone.
Glossary of Terms
- Risk/Reward Ratio
- The ratio of potential profit to potential loss on a trade, measured from entry to take-profit versus entry to stop-loss. A 1:3 ratio risks one dollar to pursue three.
- Stop-Loss
- The price at which you exit to limit a loss if the trade moves against you. It defines the trade's risk and should sit where the original thesis is proven wrong.
- Breakeven Win Rate
- The minimum percentage of similar trades that must be winners to earn nothing net, before costs. Structures with larger reward relative to risk demand lower win rates.
Frequently Asked Questions
Everything you need to know about this topic.
Ivy Sinclair-Wren
Financial Chaos Analyst
Ivy Sinclair-Wren is a Financial Chaos Analyst covering investing, AI, wealth psychology, and the emotional consequences of opening finance apps during market crashes. Based in Melbourne, she specializes in demystifying the Australian tax code and helping users navigate the intersection of spreadsheet logic and human irrationality.