Risk To Reward

I will be dropping some vital information about this concept on this thread. Stat tuned.

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@headies25284 - 2 months ago

The amount of risk that you take in order to make an expected amount on a trade is known as the Risk/Reward and is expressed as a ratio. The ideal ratio is of hot debate. There are warring parities of traders (mostly retail traders) who say 1:1 is the best ratio,1:3 is better, or 1:2 is ideal. There are others who say that the ratio is completely meaningless and should be discarded altogether. Others say that a R/R is only for those who like to "set and forget" their trades of which consists only of the dumb, rookie trader crowd whom have minimal trading experience. There's a ton of differing opinions on the Risk/Reward ratio and the subsequent debates that follow can make a beginning trader confused and lead them in the wrong direction, which is dangerous for their long-term success.

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@headies25284 - 2 months ago

Most people have day jobs unlike the 'professional' traders who sit at their computer all day scouring 32 currency pairs on 12 computer screens. Not everyone will have the same time allocation as other traders so as a reuslt everyone will use different trading strategies that bend to their daily routines. The static R/R is best used for traders who don’t have the time to watch their computer screen all day long analyzing price action every 15min.

A static R/R is also good for basic EA management schemes so as to backtest a certain strategy and produce qualifying metrics.

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@hosea_makelele - 2 months ago

How much you risk on a trade depends on what edge you have or what you are aware of that you think other traders aren't aware of. When you think you have an edge you can increase your risk, at least that's what I do.

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@headies25284 - 2 months ago

R/R ratio is also applied differently to different types of strategies. For some strategies a static R/R serves as a guideline for their risk management. For these types of strategies there should be a minimum R/R maintained for every trade taken with the potential to increase the ratio to let winners run and ride a trend. Other strategies find the R/R irrelevant to their trade setup process (even though behind the scenes they still maintain a positive expectancy ratio unwittingly).

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@headies25284 - 2 months ago

Risk-to-Reward (R:R) is the relationship between what you are willing to lose on a trade and what you aim to gain.

👉 It answers:

“Is this trade worth taking based on potential profit vs possible loss?”

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@headies25284 - 2 months ago

Why It Matters?

You don’t need to win every trade to be profitable.

For example:

Risk = $10

Reward = $20 (1:2 ratio)

Even if you win only 50% of your trades, you still make money:

5 losses = -$50

5 wins = +$100

Net profit = +$50

👉 That’s the power of good R:R.

Common Ratios Traders Use

1:1 → Balanced (risk $10 to make $10)

1:2 → Popular and effective

1:3+ → Higher reward, but harder to hit

K
@kehinde - 2 months ago

To me it is not really a bad thing if the risk is higher than the reward by a few pips. In some scenarios you might miss out on the start of a trend and when you come to trade you see the market has moved already. to enter such a trde you may have to place a higher SL than the potential reward

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@headies25284 - 2 months ago
Quoted - kehinde

I can risk $6 to make $5

Wow, I don’t think that’s a better way to trade. Long time, I don’t think you will be profitable that way.

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@headies25284 - 2 months ago

How It’s Applied in a Trade

Stop Loss (SL) = your risk

Take Profit (TP) = your reward

Example:

Entry: 1.1000

Stop Loss: 1.0980 (20 pips risk)

Take Profit: 1.1040 (40 pips reward)

👉 R:R = 1:2

Trader Insight (Very Important)

A good R:R protects you from losing streaks

A bad R:R requires a very high win rate to survive

Consistency comes from combining:

Solid entries

Proper risk management

Favorable R:R

Bottom Line

Risk-to-reward is not just a concept—it’s your edge protector.

👉 You’re not trying to win every trade.

👉 You’re trying to make more when you win than you lose when you’re wrong.