Supply and demand are the two forces driving prices up and down across financial markets. Even though the Efficient Market Hypothesis says that prices already reflect every single information available, empirical observations show that the market rarely stays in constant equilibrium.
Capital influx, algorithmic tools, and human psychology are constantly pushing prices away from their intrinsic value. And these deviations create structural imbalances that push the market into extreme conditions, categorized as overbought or oversold.
There are tons of opportunities at these extremities. Momentum indicators can help you use these price levels to design mean-reversion strategies and improve risk management. They can also help you keep track of speed and duration of price movements, so that you can spot the signals that a trend has exhausted its momentum.
Identifying these points of exhaustion allows you to pinpoint shifts in market sentiment. It also gives strategic advantages to improve entry, exit, and mitigation of directional risk.
We define the overbought condition as the point in which the stock price has gone through an upward trajectory so aggressively that market participants now consider it too expensive relative to its historical worth. The buying pressure has been so intense that the momentum is now more likely to decelerate or experience a reversal. In practice, the bullish trend reaches a maturity point where the capital needed to push prices forward starts to wane down.
The market is considered oversold when the inverse happens. The stocks go through a period of violent selling pressure in which prices drop below its perceived intrinsic value. The downtrend starts losing strength and additional amounts of capital are required to bring prices even lower.
Market conditions like these, where prices remain overbought or oversold for extended periods, are a result of extreme sentiment. Either caused by euphoria or panic. When the pressure dissipates, the market may have reached a ceiling or a floor. In this case, institutional players start developing their next move, since there’s a mathematical bargain in betting that prices will revert back to the mean, away from the extremes.
Both technical indicators and fundamental analysis work when checking whether prices might be considered overbought or oversold. Below, a table displays how you would typically evaluate and define market conditions according to each type of analysis.
| Technical Analysis | Fundamental Analysis | |
| Primary Metrics | Price action and momentum oscillators | Earnings, revenue, and debt-to-equity |
| Overbought Definition | RSI > 70 or Stochastic > 80 | High P/E or price-to-sales ratios |
| Oversold Definition | RSI < 30 or Stochastic < 20 | Trading below book value or cash flow |
| Time Horizon | Short-to-mid term trading | Long-term investment |
Although fundamental analysis gives useful indicators for highlighting overbought and oversold conditions, most traders rely mainly on technical trading, focusing on potential market reversals for short-to-mid term opportunities.
The RSI and the Stochastic Oscillator, which we’ll explore further down below, are among the most popular technical indicators for this type of strategy.
The RSI is an indicator that measures the magnitude and speed of recent price changes as a way to evaluate the strength of the broader trend. J. Welles Wilded developed in the 80s, and it has been used across several markets since then.
The mathematical reading normalizes the data into a scale from 0 to 100. A reading above 70 classifies the stock as overbought. Readings below 20 classify it as oversold.
Traders use RSI levels to detect when prices reach overbought or oversold conditions, but they can also use RSI readings to monitor momentum divergence, which happens when price makes new highs, but the indicator prints a lower high. This is a sign that the uptrend might be reaching its exhaustion point, even before prices starts to show signs of weakness.
The Stochastic Oscillator differs from the RSI in the sense that it measures the velocity of price relative to its high-low range over a defined period.
This indicator follows the assumption that, during strong trends, prices should cluster near the top of the recent range for bullish momentum or at the bottom for bearish momentum.
A reading above 80 indicates that prices are closing within the top 20% of the last n number of trading periods and implies the stock is under overbought conditions.
For oversold conditions, readings below 20 exposes the fact that the price is orbiting the bottom 20% of the last n days.
Traders, in general, combine the stochastic indicator with other tools to better interpret a signal before opening a premature position. An entry is triggered when the fast %K line crosses above the slow %D line while in an extreme oversold zone, for example.
It’s very hard to gain advantage from technical analysis from one single indicator. Successful traders don’t rely only on the RSI or Stochastic Oscillator to compare trends and formulate market thesis. They take advantage of a combination between these and supplementary tools.
The MACD, for example, is a great ally when considering broader market momentum. When the histogram expands away from zero, either up or down, it indicates that market pressure is strong. The furthest away from zero, the stronger the trend is.
The Average Directional Index (ADX) is yet another indicator traders use to capture the strength of a trend, regardless of its direction. Market players can use it to understand whether market is in range-bound sideways conditions in the longer run, which can be helpful in avoiding trend-following strategies where there is no real trend determining the course of action.
Bollinger Bands, on the other hand, has a volatility-based approach. It can be also used to identify overbought and oversold conditions. When prices pierce the upper band, they’re technically too expensive relative to their mean. The same is valid when prices touch the lower band.
Comparing the RSI vs Stochastic Oscillator outputs alongside Bollinger Bands can be a great addition to identify overbought and oversold zones with even higher precision.
The main factor when it comes to trading financial markets is whether you can understand broader market context or not. An oscillator is completely blind to macroeconomic events. It is simply calculated data over an n look-back period.
Although it does give you relevant information, it cannot tell you whether the market is trending or walking sideways in the long-term. It’s up to you to define what is the current regime.
If the market is indeed trending, the asset can remain overbought or oversold for an extended period. An RSI of 85 during bullish euphoria confirms the strength, instead of immediately signaling for a reversal.
In range-bound markets, prices tend to revert to the mean. In this case, overbought and oversold indicators can help you achieve the highest efficacy for profits. As a rule of thumb, when the RSI approaches 70 and prices are swinging around a horizontal resistance, you can start considering the possibility of a downward pressure.
You decide to build a trading system based on overbought and oversold detection. You then decide to go long or short as soon as the indicator signals one of these two extremes. That’s a classical mistake. The myth that prices must revert back to the mean only because the market has become “exhausted” is a trap.
That’s not how things work. An indicator crossing an extreme threshold is not a mandate to reverse. Markets can, and will, remain overbought or oversold for long periods of times. Much longer than you can maintain solvency.
The same idea is valid for divergence analysis. Although price-indicator divergence can be a sign that momentum is weakening, it does not confirm the opposite force has taken full control of the situation. Especially in highly-volatile contexts, divergences may appear multiple times and point to different directions. But only structural shifts confirmed through price action can say whether the sentiment has changed or not. Take divergences as warnings, not as entry triggers.
Never forget to consider that technical indicators suffer from lag. If you over rely on them and ignore other forms of analysis, such as macroeconomics and events, you might be too late to ride new trends.
One of the most common rules in risk management is to never expose more than 1% or 2% of your trading account on a single trade. That rule is common, because it is effective. So you should definitely apply it to your trading system, regardless on whether you’re aiming at trend-following or range-bound strategies. A 50% loss requires a 100% gain just to break even. Capital preservation is more important than profits.
You can use the RSI and Stochastic Oscillator in conjunction to help filter out noise. So before you enter the market, you can have multiple confirmations:
The checklist above is one example of a systematic approach to trading. When multiple signals align, the probability of a favorable outcome increases. Adding some of the best TradingView indicators for day trading to your toolkit can help improve this checklist and build a robust trading system.
If you’re a beginner, the most important thing is clarity over complexity. You may feel tempted to load 10 different indicators all at once. But this noise will only bring more confusion and lead to analysis paralysis.
Opt for one trend indicator. The 200 SMA is a good choice, because it’ll highlight the long-term trend. Include one oscillator, like the 14-period RSI to form a simple, but effective trading system.
Backtest and review historical data to see how the conjunction between these two indicators behaved in the past. Evaluate their performance in strong trends vs sideways markets.
Practice your trading system in risk-free environments to manage sentiments of fear and greed without financial burden. You can try demo accounts to perform paper trading and prepare for hitting live-markets later on.
More importantly, keep a trading journal where you record not only the strategy used and indicator levels, but also your emotions before and after entering the trade. This habit will help you improve your strategy objectively and will also help you identify psychological biases.
Overbought and oversold conditions tells you when prices have been stretched way beyond statistical norms. Although they can signal when price reversals might occur due to exhaustion, they should never be seen as a trigger to enter the market on the opposite direction right away.
Markets are complex. Technical indicators can translate a lot of that complexity into numbers that map out market conditions, allowing you to better prepare your entry and exit strategies. But these indicators cannot predict the future, and false signals are always there to expose our own biases.
If you decide to build an overbought-oversold market strategy, you’ll encounter extremities that will test your patience. Don’t let the frustration of false or lagging signals drive you towards impulsivity.
If you apply risk management, you’ll be able to overcome temporary losses. Success in the market requires discipline and resilience to remain grounded when other players fall into hysteria. Keep practicing and keep a trading journal with you to help you stay objective. With these tools in hands, the path will become at least a bit easier.
