In the dynamic landscape of stock market trading, identifying predictable patterns that precede significant price movements is paramount for informed decision-making. One such phenomenon, volatility compression, presents a compelling area of study for traders and investors alike. This research delves into the intricacies of volatility compression, a market condition characterized by a notable contraction in an asset’s short-term price fluctuations relative to its longer-term norm. This period of relative calm often sets the stage for substantial volatility expansion and directional breakouts, offering potential profit opportunities.
This paper aims to provide a comprehensive understanding of volatility compression, exploring its theoretical underpinnings and the technical methodologies employed for its identification. We will examine various indicators, including Bollinger Bands, Average True Range ratios, and Keltner Channels, to pinpoint periods of constricted price action. Furthermore, this research will delve into the crucial aspects of developing a robust trading strategy based on volatility compression, encompassing precise entry and exit rules, the integration of confirming technical indicators, and a strong emphasis on risk management. By analyzing the limitations and potential pitfalls associated with this strategy, including the challenge of false breakouts, this study seeks to equip readers with a nuanced perspective on leveraging volatility compression for effective trading.
Capitalizing on Volatility Compression: A Stock Market Trading Strategy
1. Understanding Volatility Compression
1.1 Defining Volatility and Volatility Compression:
Volatility, in the context of stock market trading, serves as a statistical barometer indicating the degree to which the price of a financial instrument fluctuates over a specific period.1 It is often quantified by measures such as standard deviation or variance of returns.1 High volatility is characterized by significant and often rapid price swings, suggesting a greater degree of unpredictability and potential risk, but also opportunity. Conversely, low volatility implies a period of relative price stability, with smaller and less frequent movements. However, volatility itself is not directly observable and must be calculated using historical price data.2 Various methods exist for this calculation, including the standard deviation of returns, which measures the average deviation of prices from their mean over a given timeframe, the Average True Range (ATR), which quantifies the average daily price range, and implied volatility, which is derived from options prices and reflects the market’s expectation of future price fluctuations.1 The choice of volatility measurement can influence the identification of compression periods.
Volatility compression is a market condition that arises when the short-term volatility of an asset contracts or diminishes in relation to its longer-term volatility.1 This phenomenon suggests a period of consolidation where price movements become increasingly narrow, often preceding a significant breakout or expansion in price.1 This contraction in volatility can be identified through various technical analysis techniques.
1.2 Theoretical Basis: Why Volatility Compression Leads to Expansion:
Periods characterized by low volatility often reflect a temporary equilibrium in the forces of supply and demand, resulting in a constricted trading range for the asset.6 This balance, however, is frequently transient. During these phases of compression, larger market participants may be strategically accumulating or distributing shares without causing significant price fluctuations, thereby setting the stage for a substantial price movement once sufficient buying or selling pressure is exerted.6 This suggests that a decrease in selling activity, for instance, as sellers become less inclined to offer their shares at lower prices, can lead to a buildup of underlying demand.8 Conversely, a lack of sustained buying interest might precede a downward move. The identification of volatility compression, therefore, necessitates discerning the potential direction of the impending expansion.
The concept of a “coiled spring” is frequently employed to illustrate this market behavior.6 Just as a tightly wound spring stores potential energy, a period of constricted price action and low volatility can build up latent energy that is subsequently released in the form of a sharp directional move.6 This move can occur in either direction, highlighting the importance of identifying not only the compression but also the likely direction of the eventual breakout.
1.3 Methods for Identifying Volatility Compression:
Several technical analysis tools and techniques can be employed to identify periods of volatility compression in the stock market.
1.3.1 Bollinger Bands Squeeze:
Bollinger Bands, a popular volatility indicator, consist of a simple moving average (SMA) flanked by two bands plotted at a certain number of standard deviations (typically two) above and below the SMA. These bands dynamically adjust to market volatility; they widen during periods of high volatility and contract when volatility decreases. A “Squeeze,” also known as volatility compression, is identified when these bands narrow to their tightest point over a defined lookback period, suggesting a significant decrease in volatility. Investopedia indicates that a Bollinger Squeeze is specifically triggered when volatility reaches a six-month low and is visually confirmed when the Bollinger Bands on a price chart narrow significantly, indicating a period of low volatility. This narrowing of the bands to a six-month minimum distance apart suggests a potential for an explosive breakout in either direction. While the six-month low serves as a specific timeframe for identifying compression, it is important to note that the optimal lookback period for defining a Squeeze might vary depending on the specific asset being analyzed and the trader’s preferred trading timeframe.
1.3.2 ATR Ratio:
Another method for identifying volatility compression involves comparing the short-term Average True Range (ATR) of an asset to its longer-term ATR. The ATR measures the average range between the high and low prices of an asset over a specified period, providing a gauge of its volatility. By calculating the ratio of a shorter-period ATR (e.g., 5-day ATR) to a longer-period ATR (e.g., 60-day ATR), traders can identify instances where short-term volatility is low relative to the longer-term trend.1 Adam Grimes notes that a ratio below a certain threshold, such as the 5-day ATR falling below the 60-day ATR, suggests that short-term volatility has contracted compared to longer-term volatility, often preceding a directional move.1 This ATR ratio offers a dynamic and relative measure of volatility compression, as it automatically adjusts to the inherent or baseline volatility level of the specific market being analyzed.1 This adaptability can be advantageous compared to fixed thresholds, as it accounts for the varying volatility characteristics across different assets.
1.3.3 Keltner Channels:
Keltner Channels are another volatility-based indicator that can help identify periods of compression. These channels are typically constructed using an Exponential Moving Average (EMA) as the centerline, with upper and lower bands set at a distance of a multiple of the ATR above and below the EMA. Similar to Bollinger Bands, Keltner Channels widen during periods of high volatility and narrow during periods of low volatility. Volatility compression can be observed when the price of an asset consolidates within a narrow range defined by the upper and lower boundaries of the Keltner Channels. The Volatility Breakout (VBO) strategy, for example, identifies a state of low volatility compression when Bollinger Bands are contained entirely within the boundaries of the Keltner Channels.10 A potential breakout signal is then generated when the price closes definitively outside of both the Bollinger Bands and the Keltner Channels.10 This combined approach, utilizing both Bollinger Bands and Keltner Channels, offers a more stringent definition of volatility compression, as it requires confirmation of low volatility from two distinct but related indicators.10 This increased confluence may potentially filter out some of the false signals that might arise from relying on a single volatility indicator alone.
2. Identifying Potential Breakout Candidates
2.1 Screening Criteria for Stocks Exhibiting Volatility Compression:
To effectively implement a trading strategy based on volatility compression, the initial step involves identifying stocks that are currently exhibiting this phenomenon. This can be achieved through systematic screening processes. One approach is to scan the market for stocks where Bollinger Bands are currently in a Squeeze, indicating a period of historically low volatility. Another criterion involves identifying stocks with a low ratio of short-term to long-term ATR, suggesting that recent price volatility has contracted relative to its longer-term average.1 Furthermore, traders might look for stocks where the price action shows Bollinger Bands being contained within Keltner Channels, signifying a particularly tight period of consolidation.10
The timeframe used for this screening process should be adaptable to the trader’s specific goals and trading style. For instance, identifying volatility compression on a daily chart might present suitable opportunities for swing trading strategies, where positions are held for several days or weeks. Conversely, observing compression patterns on hourly or even shorter timeframes, such as 15-minute or 5-minute charts, could be more relevant for day traders seeking to capitalize on intraday price movements. Additionally, considering the use of range bar charts can provide a unique perspective on volatility. Range bar charts plot bars based on price movement rather than time, and during periods of low volatility, fewer range bars will be printed, directly visualizing the compression. Investopedia explains that range bar charts show fewer bars during periods of low volatility, directly reflecting this contraction in price movement. This alternative charting method focuses solely on price action, filtering out time-based information, which can make periods of volatility compression more visually apparent.
2.2 Incorporating Trend Analysis and Market Context:
Beyond identifying volatility compression, it is crucial to consider the prevailing market trend and the broader market context to enhance the probability of a successful trade. Volatility Contraction Patterns (VCPs), as described by TraderLion, are often observed as continuation patterns within an established uptrend. These patterns are characterized by successive price pullbacks that become smaller over time, accompanied by a decrease in trading volume, indicating a drying up of selling pressure and a potential buildup of demand. Therefore, looking for volatility compression patterns that form after a stock has already established an uptrend can increase the likelihood of a bullish breakout. Conversely, it is generally prudent to exercise caution when considering compression patterns that form within strong downtrends, as these may be indicative of bearish continuation rather than a reversal, unless there is strong confirming evidence to the contrary.
Furthermore, an analysis of the overall market conditions is essential. Understanding whether the broader market is currently in a low volatility or high volatility regime can provide valuable context for individual stock analysis. Tools like the CBOE Volatility Index (VIX), often referred to as the “fear index,” can serve as an indicator of overall market volatility expectations. Investopedia notes that a rising VIX can signal increased fear of a market downturn. A low VIX reading might suggest a market environment where volatility is generally subdued, potentially increasing the probability of a significant volatility expansion following a period of compression in an individual stock.
2.3 The Role of Volume in Identifying High-Probability Setups:
Trading volume plays a significant role in validating volatility compression breakout setups. In the context of Volatility Contraction Patterns (VCPs), a consistent decrease in trading volume during the compression phase is often interpreted as a sign that sellers are becoming less active and the supply of the stock at lower prices is diminishing. This decrease in volume during the consolidation phase suggests that the subsequent breakout, if accompanied by a surge in volume, is more likely to be a genuine signal of increased demand or supply. TraderLion highlights that a strong VCP breakout is frequently characterized by a significant spike in volume on the day of the breakout, often in the range of 30-40% above the average. This increase in volume indicates strong conviction behind the price movement, with both institutional and retail traders participating, thereby increasing the probability of a sustained upward or downward trend. Conversely, a breakout from a volatility compression pattern that occurs on low volume might be indicative of a lack of strong conviction and could have a higher likelihood of being a false breakout or a short-lived move. Therefore, monitoring volume in conjunction with price action is crucial for identifying high-probability volatility compression breakout trades.
3. Developing the Trading Strategy
3.1 Entry Rules:
The entry rules for a volatility compression trading strategy must be clearly defined to ensure a systematic approach. Several potential entry triggers can be considered based on the methods used to identify compression.
3.1.1 Bollinger Bands Squeeze Breakout:
A common entry rule involves initiating a long position when the price closes above the upper Bollinger Band following a period of Squeeze, signaling the start of a potential upward move. Conversely, a short position can be entered when the price closes below the lower Bollinger Band after a Squeeze, suggesting a downward breakout.
3.1.2 ATR Ratio Breakout:
If using the ATR ratio, a threshold needs to be defined (e.g., a 5-day ATR falling below 0.8 times the 60-day ATR). Once this condition is met, a long entry can be triggered when the price subsequently breaks above a recent high (e.g., the high of the consolidation period). A short entry would occur when the price breaks below a recent low after the ATR ratio indicates compression.1
3.1.3 VBO Strategy Entry:
For traders employing the Volatility Breakout (VBO) strategy, a long entry is typically initiated when the price closes above both the upper Bollinger Band and the upper Keltner Channel, after the Bollinger Bands have been contained within the Keltner Channels. A short entry occurs when the price closes below both the lower Bollinger Band and the lower Keltner Channel under the same prior condition.10
3.1.4 Volatility Contraction Pattern (VCP) Breakout:
When trading based on the Volatility Contraction Pattern, a long entry is generally placed when the price breaks above the pivot point, which is the high of the last price contraction within the VCP, and this breakout is accompanied by a noticeable increase in trading volume. This strategy is typically applied to stocks that are already in an established uptrend.
It is important to note that the entry rules should be as specific as possible, clearly outlining the conditions that must be met to trigger a trade. This includes specifying the type of breakout (e.g., a confirmed close above a level, an intraday break) and any required confirmation, such as a surge in volume.
3.2 Exit Rules:
Establishing clear exit rules is just as critical as defining entry points for a successful trading strategy. Exit rules typically involve setting profit targets and stop-loss levels.
3.2.1 Profit Targets:
Several methods can be used to determine appropriate profit targets following a volatility compression breakout. One approach involves measuring the trading range that prevailed during the compression period and projecting this range upwards (for long trades) or downwards (for short trades) from the point of the breakout. For example, if a stock traded within a $5 range during compression and then breaks out to the upside at $50, a profit target could be set at $55. Another common technique is to use multiples of the Average True Range (ATR) to set profit targets. For instance, a trader might set a profit target at a distance of two times the ATR from their entry price. In the context of VCPs, TraderLion suggests aiming for potential gains of 15% or more, while maintaining a favorable risk-to-reward ratio of 3:1 or better. Some traders also employ the strategy of using multiple profit target levels, allowing them to lock in a portion of the profits as the trade moves favorably while leaving a remaining portion to potentially capture further gains. Investopedia suggests that when trading price patterns, the range of the recent channel or pattern can be used as a price target once the stock breaks out. WH SelfInvest describes trading systems that utilize profit targets set as a multiple of the initial risk or the size of the breakout range. The choice of profit target method can depend on the specific characteristics of the volatility compression pattern, the prevailing market conditions, and the trader’s individual risk tolerance and profit objectives.
3.2.2 Stop-Loss Levels:
Stop-loss orders are essential for managing risk and limiting potential losses in any trading strategy. For volatility compression breakouts, stop-loss orders are typically placed at a level that would indicate the breakout has failed. For long trades, a stop-loss might be placed below the low of the breakout bar, while for short trades, it could be placed above the high of the breakout bar.10 In the case of VCPs, TraderLion recommends placing the stop-loss order just below the low of the last price contraction within the pattern. Investopedia advises using the previous resistance level as a new support level for long breakouts and the previous support level as a new resistance level for short breakouts as a reference point for setting stop-loss orders. Many traders also find it beneficial to use a trailing stop-loss, which automatically adjusts as the trade moves in a profitable direction, helping to protect profits while still allowing the trade room to run. The precise placement of the stop-loss should be logical and aligned with the specific volatility compression pattern being traded.
3.3 Timeframe Considerations:
Volatility compression is a phenomenon that can be observed across various trading timeframes, from short-term intraday charts to longer-term daily, weekly, or even monthly charts.6 Day traders, who typically hold positions for a single trading day, might focus on identifying compression patterns that develop on shorter timeframes such as 5-minute or 15-minute charts. Conversely, swing traders, who aim to profit from price movements over several days or weeks, might look for volatility compression forming on daily or weekly charts. The duration for which a trade is held will naturally vary depending on the timeframe of the identified compression and the strength and momentum of the subsequent breakout. It is important to recognize that the optimal timeframe for trading volatility compression breakouts will depend on the individual trader’s style, risk tolerance, and trading objectives. Shorter timeframes might present more frequent trading opportunities but could also be associated with a higher incidence of false signals or “noise.”
4. Utilizing Technical Indicators for Confirmation
4.1 Integrating Volatility Indicators:
To increase the reliability of a volatility compression trading strategy, it is often beneficial to use additional technical indicators to confirm the anticipated breakout and the subsequent expansion of volatility.
4.1.1 Bollinger Bands:
After identifying a Bollinger Bands Squeeze, the widening of the bands following a price breakout can serve as a confirmation of increasing volatility and the potential commencement of a sustained trend in the direction of the breakout.
4.1.2 Average True Range (ATR):
Following a breakout from a volatility compression zone, an increase in the ATR value can provide confirmation that the price movement is indeed expanding and that volatility is increasing as expected.
4.1.3 VIX:
Monitoring the VIX, the market’s fear gauge, can also offer insights. A low VIX reading preceding a volatility compression pattern in an individual stock might suggest a higher probability of a significant price breakout and subsequent volatility expansion in that specific stock.
4.1.4 Keltner Channels:
In strategies that utilize both Bollinger Bands and Keltner Channels to identify compression, a confirmed break of the price outside the Keltner Channels after the Bollinger Bands were inside can provide further validation of a significant volatility expansion and a potentially strong directional move.
Employing multiple volatility indicators can lead to a more robust confirmation of the transition from a low volatility compression phase to a high volatility expansion phase. However, it is important to select indicators that complement each other and to avoid using an excessive number of indicators, which could lead to conflicting signals or analysis paralysis.
Table 1: Volatility Indicators for Confirmation
| Indicator Name | How it Identifies Volatility Expansion | Application in Volatility Compression Strategy |
| Bollinger Bands | Widening of the bands after a Squeeze | Confirms the breakout and increasing volatility. |
| Average True Range (ATR) | Increasing value after the breakout | Indicates expanding price movement and rising volatility. |
| VIX | Low value preceding a breakout in individual stocks | Suggests a higher likelihood of volatility expansion. |
| Keltner Channels | Price breaking outside the channels after Bollinger Bands were inside | Provides additional confirmation of significant volatility expansion. |
4.2 Combining Momentum Indicators:
In addition to volatility indicators, incorporating momentum indicators can help to gauge the strength and potential sustainability of a breakout from a volatility compression pattern.
4.2.1 Relative Strength Index (RSI):
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Looking for the RSI to move in the direction of the breakout can provide confirmation of the momentum behind the move. For example, in the case of a bullish breakout, an RSI reading above 50 might be considered a desirable confirmation of upward momentum.
4.2.2 Moving Averages:
Price breaking above key moving averages, such as the 50-day or 200-day moving average, following a period of volatility compression can signal a potential shift in trend and the start of a more sustained directional move. The crossing of shorter-term moving averages above longer-term moving averages can also provide bullish confirmation.
Momentum indicators can be valuable in filtering out potential false breakouts by confirming that the price movement has sufficient strength and is likely to continue in the anticipated direction.
Table 2: Momentum Indicators for Confirmation
| Indicator Name | How it Confirms Breakout Strength | Application in Volatility Compression Strategy |
| RSI | Moving in the direction of the breakout (e.g., above 50 for longs) | Confirms momentum behind the breakout. |
| Moving Averages | Price breaking above key moving averages | Signals potential trend change and sustained movement after compression. |
5. Risk Management Framework
5.1 Determining Appropriate Position Sizing:
Proper position sizing is a cornerstone of effective risk management in any trading strategy, including one based on volatility compression. It involves determining the appropriate number of shares or contracts to trade based on the trader’s capital, risk tolerance, and the specific characteristics of the trade setup. A common guideline is to risk only a small percentage of total trading capital on any single trade, such as 1% or 2%. The position size should also be adjusted based on the volatility of the stock being traded and the distance between the entry price and the stop-loss level. Higher volatility generally warrants smaller position sizes to limit potential losses. The fundamental principle is to ensure that any single losing trade does not have a significant impact on the overall trading capital.
5.2 Strategies for Managing Risk During Periods of High Volatility:
While the goal of a volatility compression strategy is to profit from the subsequent expansion of volatility, it is crucial to have strategies in place to manage the inherent risks associated with volatile market conditions. One approach is to consider widening stop-loss levels slightly to account for potentially larger price swings that can occur during high volatility periods. However, it is important to avoid widening stop-losses excessively, as this could lead to larger-than-anticipated losses. Another risk management tactic involves potentially reducing position sizes during periods of heightened market volatility, such as around major economic news announcements or company earnings reports. This helps to mitigate the impact of potentially sharp and unexpected price movements.
5.3 The Importance of Stop-Loss Orders:
The use of stop-loss orders is an absolutely essential component of risk management when trading volatility compression breakouts. A stop-loss order is an instruction to automatically close a trade if the price reaches a predetermined level, thereby limiting the potential loss on the trade. In the context of volatility breakouts, stop-loss orders are typically placed at a level that would invalidate the breakout thesis. For instance, after a bullish breakout, a stop-loss might be placed just below the previous resistance level, which should now act as support. It is a fundamental principle of prudent trading to always have a stop-loss order in place before initiating a trade.
6. Backtesting and Performance Evaluation
6.1 Guidance on How to Backtest the Strategy:
Before deploying any trading strategy with real capital, it is crucial to evaluate its historical effectiveness through a process called backtesting. To backtest a volatility compression strategy, traders need to obtain historical price data for the stocks and timeframes they intend to trade. Then, the clearly defined entry and exit rules of the strategy should be applied to this historical data in a systematic and unbiased manner. All simulated trades, including the entry price, exit price, and the resulting profit or loss, should be meticulously recorded. It is also beneficial to note any relevant observations about the market conditions or the behavior of the strategy during different periods. Utilizing trading simulation software or platforms can significantly streamline the backtesting process by automating the application of the trading rules to historical data.
6.2 Key Metrics for Evaluating the Strategy’s Effectiveness:
After conducting a backtest, several key metrics can be used to evaluate the performance and effectiveness of the volatility compression trading strategy. The win rate, which is the percentage of trades that resulted in a profit, provides an indication of the strategy’s accuracy. The profit factor, calculated as the ratio of total gross profit to total gross loss, indicates the overall profitability of the strategy. An average profit factor greater than 1 suggests that the strategy generates more profit than loss. Analyzing the average profit per trade and the average loss per trade can provide insights into the typical outcome of winning and losing trades. Finally, the maximum drawdown, which represents the largest peak-to-trough decline in account equity during the backtesting period, is a critical measure of the risk associated with the strategy. These metrics collectively provide a quantitative assessment of the strategy’s historical performance and its risk characteristics.
7. Limitations and Potential Pitfalls
7.1 Addressing the Possibility of False Breakouts and Whipsaws:
It is important to acknowledge that volatility compression does not invariably lead to a successful breakout, and breakouts can and do fail. Market conditions can change rapidly, and what appears to be a high-probability setup can sometimes result in a false breakout, where the price initially moves out of the compression zone but then reverses direction. These rapid price reversals, often referred to as whipsaws, can trigger stop-loss orders and lead to losses. Employing confirmation indicators, such as observing a significant increase in volume accompanying the breakout or waiting for momentum indicators to align with the direction of the breakout, can help to reduce the likelihood of being caught in false breakouts.
7.2 The Impact of Market Conditions and News Events on the Strategy:
The effectiveness of a volatility compression trading strategy can be significantly influenced by overall market conditions and unexpected news events. Major economic data releases, company earnings reports, and geopolitical events can introduce sudden and significant volatility into the market, potentially invalidating established compression patterns or leading to sharp, unexpected price movements. Traders utilizing this strategy should therefore remain vigilant about upcoming news releases and events that could impact the stocks they are trading or the broader market. Being aware of such potential catalysts for volatility can help traders to manage their positions more effectively and avoid being caught off guard by sudden market shifts.
7.3 Psychological Considerations in Trading Volatility Breakouts:
The anticipation of a breakout following a period of volatility compression can sometimes lead to traders initiating positions prematurely, before the actual breakout has been confirmed according to their defined rules. This can result in being stopped out if the price does not move as expected. Furthermore, the fear of missing out (FOMO) can sometimes cause traders to chase breakouts that have already occurred and are potentially overextended, increasing the risk of entering at an unfavorable price. Maintaining discipline and adhering strictly to the pre-defined entry and exit rules of the trading strategy is crucial to avoid emotional decision-making, which can often lead to suboptimal trading outcomes.
Conclusion
Capitalizing on volatility compression offers a potentially profitable stock market trading strategy by identifying periods of low volatility that often precede significant price movements. By employing techniques such as Bollinger Bands Squeezes, ATR ratios, and the Volatility Breakout strategy, traders can identify potential breakout candidates. Integrating trend analysis, market context, and volume confirmation further enhances the probability of successful trades. The strategy necessitates clearly defined entry and exit rules, including profit targets and stop-loss levels, tailored to the chosen timeframe. Utilizing additional technical indicators, such as other volatility and momentum indicators, can provide valuable confirmation signals. However, effective risk management, through appropriate position sizing and the consistent use of stop-loss orders, is paramount. Backtesting the strategy across various market conditions and timeframes is essential to evaluate its historical performance and identify potential limitations, such as false breakouts and the impact of market-moving news. Ultimately, a disciplined and systematic approach, coupled with an awareness of the psychological aspects of trading, is crucial for successfully implementing a volatility compression trading strategy.
Works cited
- Volatility: Meaning in Finance and How It Works With Stocks – Investopedia, accessed May 4, 2025, https://www.investopedia.com/terms/v/volatility.asp
- The Anatomy of Trading Breakouts – Investopedia, accessed May 4, 2025, https://www.investopedia.com/articles/trading/08/trading-breakouts.asp
- Volatility | Trading Lesson | Traders’ Academy | IBKR Campus, accessed May 4, 2025, https://www.interactivebrokers.com/campus/trading-lessons/volatility/
- Volatility Trading Strategies: How to Trade Volatility – Admiral Markets, accessed May 4, 2025, https://admiralmarkets.com/education/articles/general-trading/volatility-trading-strategies
- Volatility Compression Breakout — Indicator by LeafAlgo – TradingView, accessed May 4, 2025, https://www.tradingview.com/script/Lc8WH9UF-Volatility-Compression-Breakout/
- Volatility Contraction Pattern (VCP): How to Day Trade It – Tradingsim, accessed May 4, 2025, https://www.tradingsim.com/blog/volatility-contraction-pattern
- David Pieper breakout trading strategy based on volatility. – WH SelfInvest, accessed May 4, 2025, https://www.whselfinvest.com/en-nl/trading-platform/free-trading-strategies/tradingsystem/83-david-pieper-histo-breakout-strategy
- Mastering The Volatility Contraction Pattern – TraderLion, accessed May 4, 2025, https://traderlion.com/technical-analysis/volatility-contraction-pattern/
- Volatility Momentum Breakout Strategy par cryptechcapital – TradingView, accessed May 4, 2025, https://fr.tradingview.com/script/dJe0bGvQ-Volatility-Momentum-Breakout-Strategy/
- Trading Volatility Compression – • The Blog of Adam H Grimes, accessed May 4, 2025, https://adamhgrimes.com/volatility-compression-2/
- “Breakout strategies are not profitable” : r/Daytrading – Reddit, accessed May 4, 2025, https://www.reddit.com/r/Daytrading/comments/1eue5y9/breakout_strategies_are_not_profitable/