BTC/USDT LONG call as long as SUPPORT BTC 96,190 Look for BTC 100,800 1. 99,760 2. 100,800 3. 101,830 Pivot 96,190 Alternative Scenario Below 96,190 expect 94,450 & 93,420
BTC/USDT LONG call as long as SUPPORT BTC 95,320 Look for BTC 99,820 1. 98,340 2. 99,820 3. 100,370 Pivot 95,320 Alternative Scenario above 95,320 expect 94,920 & 93,210
BTC/USDT short call as long as resistance BTC 97,180 Look for BTC 92,560 1. 93,570 2. 92,560 3. 91,550 Pivot 97,180 Alternative Scenario above 97,180 expect 98,890 & 99,900
BTC/USDT long call as long as support BTC 91,810 Look for BTC 96,270 1. 95,280 2. 96,270 3. 97,260 Pivot 91,810 Alternative Scenario below 91,810 expect 90,150 & 89,170
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BTC/USDT long call as long as support BTC 91,510 Look for BTC 95,840 1. 94,860 2. 95,840 3. 96,830 Pivot 91,510 Alternative Scenario below 91,510 expect 89,860 & 88,880
In many cases, market strategists find the ideal risk/reward ratio for their investments to be approximately 1:3, or three units of expected return for every one unit of additional risk. Investors can manage risk/reward more directly through the use of stop-loss orders and derivatives such as put options.
The risk/reward ratio is often used as a measure when trading individual stocks. The optimal risk/reward ratio differs widely among various trading strategies. Some trial-and-error methods are usually required to determine which ratio is best for a given trading strategy, and many investors have a pre-specified risk/reward ratio for their investments.
Note that the risk/return ratio can be computed as one's personal risk tolerance on an investment, or as the objective calculation of an investment's risk/return profile. In the latter case, expected return is often used in the denominator and potential loss in the numerator. Expected return can be computed in several ways, including projecting historical returns into the future, estimating the weighted probabilities of future outcomes, or using a model like the capital asset pricing model (CAPM).
To estimate the potential loss, investors may use a variety of methods, such as analyzing historical price data with technical analysis, using the historical standard deviation of price action, assessing company financial statements with fundamental analysis, and models like value-at-risk (VaR). These methods can help investors identify factors that could impact the investment's value and estimate the potential downside.
Estimating the expected return and potential loss is not an exact science, and the actual amount of risk and return may differ from your estimates. Investors should also consider their own risk tolerance when evaluating the potential risk of an investment, as the amount of risk they are willing to take on can vary depending on their personal circumstances and investment goals.
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