Cointime

Download App
iOS & Android

Risk/Reward Ratio in Crypto Trading: Why Is It So Important?

Validated Venture

RR helps you determine whether a trade is profitable or not.

The Risk/Reward ratio is calculated after developing a trading plan, determining entry and exit points, and determining the level of stop-loss.

The Risk/Reward ratio is calculated for each position individually based on the trader’s trading strategy, taking statistics and opportunities into account.

With proper analysis of the results of one’s trading strategy, a competent Risk/Reward ratio allows one to earn in the long run.

What is RR?

The Risk/Reward ratio is a coefficient that shows the risk to potential profit ratio. The specific value of RR is calculated before buying an asset and allows the trader to assess the transaction’s potential in terms of the trader’s trading strategy.

If the Risk/Reward ratio is greater than 1, the risk outweighs the potential profit. When the value is less than 1, the potential profit exceeds the inherent risks.

Risk in trading and investing refers to the potential loss that a trader is willing to accept when opening a position. Stop-loss orders, which automatically sell an asset when a certain price is reached, are commonly used to control the level of risk. This is an important trading tool for more than just limiting losses. The risk level is an essential component in calculating a trader’s potential profit and his trading strategy as a whole.

Profit is the difference between the purchase price of an asset and the price at which it will be sold. Profit, in the context of the RR ratio, is a potential level that a trader determines before entering a position to assess the potential of a trading operation.

How to calculate RR properly?

The generally accepted method of calculating the RR ratio is to divide the risk by the profit, i.e. RR equals risk divided by profit. Although some traders, due to personal preferences, may use the opposite variant, where profits are divided by risk, we will consider the standard example of calculation, using the formula below:

Assume you want to buy an asset for $100. You’ve also decided to limit your risk by setting your stop loss at $90 and your target price for selling the asset at $130. In this case, the RR ratio will be one to three, or approximately 0.33. In other words, the risk is lower than the potential profit.

The RR ratio would be 2 in the example with the same entry price ($100) and target price ($130), but with a stop loss set at $40. This ratio value indicates that the risk is significantly greater than the expected profit.

Optimal Risk/Reward ratio

One of the most commonly used values in calculating the risk-to-profit ratio is 1 to 3, or 0.33. Also common are ratios of 1 to 7, 1 to 10, and 1 to 15.

Choosing common RR variants, on the other hand, is a serious trading mistake. Based on their experience, statistics, and market conditions, traders must determine which RR ratio is best suited to their trading strategy.

For example, if a trader only makes 50% of successful trades, an RR of 0.5 or 1 to 2 would be of no use. Before entering a trade, the target selling price of an asset should generate a profit statistically, not just in this trade.

The point of RR in the 1 to 3 ratio or 0.33 ratio example is that one profitable trade can cover 3 losing trades. If the ratio is 1 to 5, then one profitable trade must cover 5 losing trades.

Before assessing risks and calculating RR, a trader evaluates the asset’s price movement capability, locates an entry point, and forecasts the asset’s price movement, determining when to exit the position.

Only after you have completed these steps can you calculate the RR ratio. If the coefficient matches a trader’s trading strategy, he enters the position.

Is it necessary to calculate the RR ratio?

If a trader wants to use their trading strategy effectively and control the necessary level of RR to make a profit in the long run, they must calculate the RR ratio.

If the percentage of successful deals is not so high, say 20%, a proper RR ratio can make a trader money in the long run.

Comments

All Comments

Recommended for you

  • U.S. July Nonfarm Payrolls Fall by 23,000, Missing Market Expectations

    On August 7, U.S. nonfarm payrolls decreased by 23,000 in July, compared with market expectations of an increase of 80,000, and the previous value was an increase of 57,000.

  • US May and June Nonfarm Payroll Additions Revised Down by 103,000 Combined

    On August 7, the US Bureau of Labor Statistics: May nonfarm payroll additions were revised down from 129,000 to 63,000; June nonfarm payroll additions were revised down from 57,000 to 20,000. After the revisions, the combined additions for May and June were 103,000 lower than previously reported.

  • U.S. Rate Futures Market Sees Lower Odds of Fed September Hike

    On August 7, the probability of a Fed rate hike in September as priced by U.S. interest rate futures declined.

  • New York Gold Futures Top $4,400 per Ounce

    New York gold futures topped $4,400 per ounce, up 2.36% on the day.

  • Japan Finance Minister: FX Market Affected by Moves Not Driven by Actual Demand

    Japanese Finance Minister Satsuki Katayama said she and U.S. Treasury Secretary Bessent agreed that the foreign exchange market has been affected by moves not driven by actual demand.

  • BTC Breaks Through $65,000

    Market data shows BTC has broken through $65,000, currently reported at $65,007.44, with a 24-hour increase of 0.6%. The market is highly volatile, please exercise risk control.

  • Brent Crude Drops 2.00% Intraday to $81.07/Barrel

    Brent crude oil fell 2.00% during the day, now at $81.07 per barrel. (Jin Shi)

  • Trump: Data Centers May Be More Important Than Oil

    August 7 news, U.S. President Trump said in an interview with Punchbowl News, "I saw the other day that Texas seems to be opposed to building data centers. I think that's a mistake. I'm not taking a position—I just think it's a mistake, because there are other communities that want to build data centers. When a community is willing to accept data centers, it means a lot of money will flow into that community. I don't think they're ugly. Some of the data centers I've seen are the most incredible buildings I've ever seen. They are very important to the economy. If Texas says no to data centers, that's a mistake, because data centers may be more important than oil."

  • Trump to Meet with Mining Executives

    On August 7, according to CCTV International News, US President Trump will convene executives from some of the world's largest mining companies at the US State Department on August 7 local time, in an effort to take action to 'secure critical mineral supplies for the US and its allies.' Reuters reported that the US urgently needs critical minerals to replenish weapons inventories depleted during the war against Iran. During the more than five-month war with Iran, the US military expended large quantities of precision-guided missiles and air defense interceptors. US defense officials and lawmakers have warned that given existing production capacity constraints, replenishing some stockpiles could take years—although the Trump administration has denied reports of a so-called 'severe shortage of ammunition stockpiles.' According to Pentagon officials and defense companies, supplies of minerals such as rare earths, tungsten, germanium, and scandium are essential for manufacturing precision-guided missiles, fighter jets, armored vehicles, infrared sensors, and other advanced weapons systems. Expected attendees include industry giants such as global mining giant Rio Tinto Group, Australia's BHP, US Freeport-McMoRan, US Mountain Pass Materials, US Rare Earths, US Energy Fuels, and Canada's Metals Company. According to sources, the Trump administration plans to announce multiple deals and memorandums of understanding.

  • US Regulators Systematically Review Chinese AI Firms' Third-Country Computing Power Leasing

    August 7 news, according to Bloomberg, people familiar with the matter revealed that the U.S. government department responsible for investigating chip export control violations is reviewing Chinese AI companies' leasing of computing power in third countries to obtain Nvidia advanced chips.