Accurately identifying buy and sell points is a dream for every trader. But the reality is that most traders’ mistakes often come from buying at very high prices or selling when assets are so cheap that they cannot cut losses. The tools that help solve this problem are identifying Overbought (overbuying) and Oversold (overselling) conditions through indicators designed to measure buying and selling pressure in the market.
Signals from Excessively High and Deeply Low Prices
Overbought occurs when an asset is continuously bought with strong momentum, causing the price to move beyond equilibrium. During this time, buying pressure begins to weaken, and selling pressure may come in to replace it, leading to a slowdown or reversal of the price increase. Conversely, Oversold is when an asset is sold under strong pressure to quickly push the price out of its range, causing the price to fall below its normal level. At this point, buyers may be attracted by the low price due to a buying accident.
Traders should avoid making entries during Overbought conditions, as they might buy at the peak prices. Similarly, during Oversold conditions, they should not rush to sell because the price may be about to reverse upward.
Relative Strength Index and Momentum Measurement
The most popular indicator for checking these conditions is RSI (Relative Strength Index), calculated from the ratio of upward momentum (price increases) to downward momentum (price decreases) using the formula:
RSI = 100 - (100 / (1 + RS))
where RS = average gains over N days / average losses over N days
RSI values range from 0 to 100, helping traders assess the strength or weakness of the price. When RSI is above 70, it indicates overbought conditions, suggesting a potential correction or reversal downward. When RSI is below 30, it indicates oversold conditions, suggesting a potential rebound. However, the standard thresholds of 70 and 30 are general guidelines and can be adjusted based on the asset’s price behavior.
Stochastic Oscillator for Monitoring Price Changes
Another effective tool is the Stochastic Oscillator, which indicates where the closing price is within the high-low range over a certain period (typically 14 days). The calculation is:
%K = [(Closing Price - Lowest Low over 14 days) / (Highest High over 14 days - Lowest Low over 14 days)] × 100
%D = 3-day moving average of %K
The %K value ranges from 0 to 100. When %K exceeds 80, the price is considered overbought (Overbought), and when %K is below 20, it is oversold (Oversold). This indicator is highly sensitive and may generate signals early, so experienced traders often wait for %K to cross the %D line to confirm signals before entering trades.
Mean Reversion for Range-Bound Trading
Mean Reversion strategy assumes that prices that are very high or very low are only temporary, and prices will revert to the central value of the range. Traders set trading bounds and buy or sell when prices move relative to the average.
This strategy works best when there is no strong trend (e.g., prices oscillate within a range), because in strong trends, prices tend to continue rather than revert.
(Example of using RSI for Mean Reversion:
Use MA200 to identify whether the trend is bullish, bearish, or sideways (Sideway)
2### Set buy/sell points when RSI enters overbought/oversold zones )e.g., RSI > 90 for sell and RSI < 10 for buy(
Enter trades when the price touches these levels
Close positions when the price reverts to the center, such as crossing SMA5
Case Study: USD/JPY on 2H Chart
Price breaks above MA200 and oscillates within a range, testing MA200 multiple times, indicating a stable uptrend
Since it’s an uptrend, prices are unlikely to be deeply oversold but may be overbought; set RSI overbought at 75 and oversold at 35
Use oversold signals primarily for buying, avoid selling at overbought levels
Close positions when the price reaches MA25 or falls below MA200
Divergence: Detecting Conflicts Between Indicators and Price
Divergence occurs when an indicator (especially RSI) signals conflicting with the price movement. For example, the price makes a Lower Low )lower than the previous low), but RSI makes a Higher Low (higher than the previous low). This suggests weakening selling pressure and a potential reversal upward. Traders use divergence to identify major trend changes.
(Example of trading divergence with RSI:
Look for clear trend directions (up or down) and signs of reversal, such as Double Tops, Double Bottoms, Head and Shoulders
2### Observe RSI for signals that conflict with the price trend )Bullish/Bearish Divergence(
Enter when the price confirms reversal, e.g., crossing SMA5
Close when the new trend weakens or divergence appears again
Case Study: WTI on 2H Chart
Price declines continuously, preparing for Double Bottoms or Lower Low
RSI enters oversold zone and shows Bullish Divergence, not making a Lower Low but a Higher Low
Buy signal occurs when the price breaks above MA25, with a stop-loss at the previous low
Close when the uptrend weakens or price fails to stay above MA25
Cautions and Key Points
Overbought and Oversold are powerful tools when used correctly, but should not be relied upon alone. Use RSI or Stochastic as primary indicators combined with other tools for confirmation. In strong trends, prices can remain overbought or oversold for extended periods, so relying solely on these indicators may lead to poor timing.
The best feature of Overbought/Oversold is helping traders avoid buying at the peak and selling at the bottom. However, always wait for divergence or additional confirmation signals before executing trades to improve accuracy and reduce risks.
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When will the price break out of the Overbought and Oversold conditions?
Accurately identifying buy and sell points is a dream for every trader. But the reality is that most traders’ mistakes often come from buying at very high prices or selling when assets are so cheap that they cannot cut losses. The tools that help solve this problem are identifying Overbought (overbuying) and Oversold (overselling) conditions through indicators designed to measure buying and selling pressure in the market.
Signals from Excessively High and Deeply Low Prices
Overbought occurs when an asset is continuously bought with strong momentum, causing the price to move beyond equilibrium. During this time, buying pressure begins to weaken, and selling pressure may come in to replace it, leading to a slowdown or reversal of the price increase. Conversely, Oversold is when an asset is sold under strong pressure to quickly push the price out of its range, causing the price to fall below its normal level. At this point, buyers may be attracted by the low price due to a buying accident.
Traders should avoid making entries during Overbought conditions, as they might buy at the peak prices. Similarly, during Oversold conditions, they should not rush to sell because the price may be about to reverse upward.
Relative Strength Index and Momentum Measurement
The most popular indicator for checking these conditions is RSI (Relative Strength Index), calculated from the ratio of upward momentum (price increases) to downward momentum (price decreases) using the formula:
RSI = 100 - (100 / (1 + RS))
where RS = average gains over N days / average losses over N days
RSI values range from 0 to 100, helping traders assess the strength or weakness of the price. When RSI is above 70, it indicates overbought conditions, suggesting a potential correction or reversal downward. When RSI is below 30, it indicates oversold conditions, suggesting a potential rebound. However, the standard thresholds of 70 and 30 are general guidelines and can be adjusted based on the asset’s price behavior.
Stochastic Oscillator for Monitoring Price Changes
Another effective tool is the Stochastic Oscillator, which indicates where the closing price is within the high-low range over a certain period (typically 14 days). The calculation is:
%K = [(Closing Price - Lowest Low over 14 days) / (Highest High over 14 days - Lowest Low over 14 days)] × 100
%D = 3-day moving average of %K
The %K value ranges from 0 to 100. When %K exceeds 80, the price is considered overbought (Overbought), and when %K is below 20, it is oversold (Oversold). This indicator is highly sensitive and may generate signals early, so experienced traders often wait for %K to cross the %D line to confirm signals before entering trades.
Mean Reversion for Range-Bound Trading
Mean Reversion strategy assumes that prices that are very high or very low are only temporary, and prices will revert to the central value of the range. Traders set trading bounds and buy or sell when prices move relative to the average.
This strategy works best when there is no strong trend (e.g., prices oscillate within a range), because in strong trends, prices tend to continue rather than revert.
(Example of using RSI for Mean Reversion:
2### Set buy/sell points when RSI enters overbought/oversold zones )e.g., RSI > 90 for sell and RSI < 10 for buy(
Case Study: USD/JPY on 2H Chart
Divergence: Detecting Conflicts Between Indicators and Price
Divergence occurs when an indicator (especially RSI) signals conflicting with the price movement. For example, the price makes a Lower Low )lower than the previous low), but RSI makes a Higher Low (higher than the previous low). This suggests weakening selling pressure and a potential reversal upward. Traders use divergence to identify major trend changes.
(Example of trading divergence with RSI:
2### Observe RSI for signals that conflict with the price trend )Bullish/Bearish Divergence(
Case Study: WTI on 2H Chart
Cautions and Key Points
Overbought and Oversold are powerful tools when used correctly, but should not be relied upon alone. Use RSI or Stochastic as primary indicators combined with other tools for confirmation. In strong trends, prices can remain overbought or oversold for extended periods, so relying solely on these indicators may lead to poor timing.
The best feature of Overbought/Oversold is helping traders avoid buying at the peak and selling at the bottom. However, always wait for divergence or additional confirmation signals before executing trades to improve accuracy and reduce risks.