According to Google Gemini, volatility compression, a state in the S&P 500 characterized by a low ratio of short-term to longer-term volatility, often manifests as a period of constricted price movement.1 This report analyzes the correlation between such periods and the subsequent occurrence of significant price movements. The findings suggest that volatility compression does increase the likelihood of a sharp move in the S&P 500; however, it does not inherently predict the direction of this move. While volatility compression can serve as an early signal for potential trading opportunities, its reliability as a directional indicator is limited and requires confirmation from other analytical tools. Various trading strategies, including breakout trading and options strategies, are employed to capitalize on the volatility expansion that typically follows compression. Nevertheless, these strategies are subject to inherent limitations and risks, including the possibility of false signals.
Volatility Compression in the S&P 500 as a Signal for Sharp Market Moves
Introduction
Volatility, in the context of the S&P 500, represents a statistical measure of the dispersion of its returns, often quantified by metrics such as standard deviation or variance. Higher volatility is typically associated with larger price swings in either direction within the securities markets. Understanding volatility is paramount, particularly in the realm of options pricing, where it serves as a crucial determinant of contract value. Volatility compression, conversely, describes a market condition where the ratio of short-term volatility relative to longer-term volatility is notably low. This often materializes as a phase where the S&P 500 trades within a narrow and defined price range, indicating a marked decrease in the index’s price volatility. This report aims to rigorously analyze the correlation between these periods of volatility compression in the S&P 500 and the subsequent emergence of sharp price movements, whether upward or downward, and to evaluate the efficacy of volatility compression as an early signal for such market events.
Understanding Volatility Compression in the S&P 500
Volatility compression in the S&P 500 signifies a period of diminished price fluctuations, often acting as a precursor to a substantial price movement. This phenomenon can be understood as a temporary state of equilibrium where the forces of buying and selling are relatively balanced, resulting in a market characterized by indecision. When the S&P 500’s price range tightens, it indicates a decrease in volatility, suggesting that the factors that typically cause price changes are currently subdued, leading to this phase of compression. However, this equilibrium is inherently transient; new catalysts will eventually arise, disrupting the balance and initiating a significant price movement.
Several technical analysis tools are utilized to identify and measure volatility compression in the S&P 500. Bollinger Bands, which are plotted two standard deviations away from a simple moving average, narrow when volatility decreases. A significant constriction of these bands, known as a Bollinger Band Squeeze, is often interpreted as a strong signal that a period of low volatility is nearing its end and that a substantial volatility expansion and subsequent price breakout are likely to occur. The tightening of the bands around the price suggests that the current stability is unlikely to persist, and the price will eventually move out of this confined range, potentially leading to a sharp move. Similarly, Keltner Channels, which are typically set using the Average True Range (ATR) above and below a moving average, also converge when market volatility diminishes. The TTM Squeeze indicator, a more sophisticated tool, leverages the interplay between Bollinger Bands and Keltner Channels to pinpoint periods of volatility compression. A “squeeze” is identified when the Bollinger Bands are entirely contained within the Keltner Channels.
The Average True Range (ATR) itself is a direct measure of market volatility, quantifying the average range between high and low prices over a specified period. A declining ATR value directly indicates a reduction in the S&P 500’s price volatility, thus signifying volatility compression. A sustained period of low ATR readings can highlight a market that is in a compressed state, potentially building towards a significant price movement. The TTM Squeeze indicator further aids in this identification by visually representing periods of low volatility with specific markers. For instance, red dots on the indicator often signify that the S&P 500 is in a “squeeze,” meaning volatility is low and a potential breakout is imminent. The end of the squeeze, often indicated by a change in the indicator’s color or pattern, suggests that volatility is expanding, and a price breakout is likely. While the momentum histogram component of the TTM Squeeze can offer hints about the potential direction of the breakout, this aspect is not always a reliable predictor.
The Cboe Volatility Index (VIX) serves as a crucial benchmark for assessing the overall expected volatility of the S&P 500 market over the next 30 days. It is derived from the prices of S&P 500 index options. A generally inverse correlation is observed between the VIX and the S&P 500 index, where an increase in the VIX often coincides with a decline in the S&P 500, and vice versa. A sustained period of low VIX readings might suggest that the market is experiencing volatility compression, potentially indicating a phase of calm before a subsequent increase in volatility and a sharp market move. A low VIX implies that market participants are not anticipating significant price swings in the near term. However, this period of low expected volatility can sometimes precede a sudden surge in realized volatility, leading to a substantial price movement in the S&P 500.
Historical Analysis of Volatility Compression and Sharp Moves
Historically, the S&P 500 has experienced several periods of low volatility. Notable examples include the extended phase of subdued volatility observed between February 2016 and January 2018, as well as the relatively calm market conditions that prevailed for a significant portion of 2023. These prolonged periods of low volatility were often attributed to a confluence of factors, such as a decrease in the correlation of equity returns, a prevailing low interest rate environment, and generally stable macroeconomic conditions. Understanding the underlying drivers of these compression phases is essential for contextualizing the subsequent market behavior.
Analysis of the market’s response following these periods of volatility compression reveals a common expectation among traders and analysts: a phase of low volatility is frequently followed by a phase of heightened volatility, characterized by significant price fluctuations and potential breakouts from established trading ranges. It is crucial to note that these breakouts can manifest in either direction, resulting in sharp upward rallies or substantial downward corrections. The market volatility spike in February 2018, which occurred after the extended period of low volatility in the preceding years, serves as a prominent historical illustration of how volatility compression can precede a sharp market correction. This event highlighted the potential for increased risk-taking and complacency during prolonged low-volatility environments. The extended period of low volatility leading up to February 2018 might have fostered an environment of increased leverage and reduced risk aversion among market participants. When concerns regarding inflation and the trajectory of interest rates began to surface, it triggered a rapid unwinding of leveraged positions, leading to a sudden and significant increase in volatility and a substantial downturn in the S&P 500.
Considering specific historical examples further illuminates this relationship. Significant one-day gains and losses in the S&P 500 have frequently occurred following periods of relative calm or in reaction to major economic or political announcements. Examining historical charts and volatility data surrounding major market events, such as the bursting of the dot-com bubble in 2000-2002 or the global financial crisis of 2008-2009, could reveal patterns where periods of low volatility preceded the onset of these major market corrections or the subsequent sharp recovery rallies. Studying these past market crashes and recoveries can help identify instances where volatility compression acted as a precursor to these significant market events. This historical context is invaluable for understanding the potential relationship between periods of low volatility and subsequent substantial price movements.
Correlation and Predictive Power
Analyzing the statistical correlation between identified periods of volatility compression in the S&P 500 and the subsequent occurrence of sharp price movements reveals a general market expectation: low volatility often precedes high volatility, suggesting a positive correlation between the end of a compression phase and the beginning of a significant price change. However, it is crucial to emphasize that volatility compression, in and of itself, does not inherently determine the direction of the ensuing sharp move, whether it will be upwards or downwards. The primary correlation observed is between the period of low volatility and the increased likelihood of a substantial price change, rather than a prediction of the specific direction this change will take. Volatility compression indicates that the market is in a state of consolidation, often described as being “coiled” and ready to move. The compression phase is characterized by a decrease in the standard deviation of returns. The subsequent sharp move signifies an increase in this standard deviation. The correlation lies in this transition from a period of low volatility to one of high volatility, which often manifests as a sharp price change.
Academic research and expert analysis offer varying perspectives on the predictive capabilities of volatility compression for the S&P 500’s direction. Some studies suggest that advanced machine learning models can be effectively applied to analyze volatility indices and predict the future direction of the stock market with a degree of success. Additionally, the VIX index, while primarily designed as a measure of expected volatility, has been shown to contain some predictive information regarding the subsequent magnitude of changes in the S&P 500, even if it does not consistently indicate the direction of those changes. Furthermore, some experts in the field have noted that low levels of implied volatility, particularly when observed during market highs, can sometimes serve as a cautionary signal of an impending significant market correction. While these sophisticated analytical techniques attempt to extract directional signals from volatility data, it is important to acknowledge that there is no universally reliable method to predict with absolute certainty whether a breakout from a volatility compression phase will be upwards or downwards. Predicting market direction remains a complex endeavor. While the occurrence of volatility compression suggests an imminent increase in price movement, the ultimate direction of this movement is influenced by a multitude of factors, including prevailing fundamental news, shifting investor sentiment, and critical technical price levels. Volatility compression can be a valuable component of a more comprehensive predictive model but is rarely sufficient as a standalone tool for accurate directional forecasting.
Different perspectives exist regarding the reliability of volatility compression as an early signal for a sharp move in the S&P 500. Many traders and analysts incorporate the observation of volatility compression into their trading strategies as a signal to be prepared for potential trading opportunities that may arise from a subsequent breakout. However, it is generally cautioned that volatility compression should not be treated as a definitive and isolated predictor of market direction. Instead, it is most effective when used in conjunction with other confirming technical and fundamental analysis techniques to build a more robust trading thesis. Therefore, volatility compression is perhaps best considered as a preparatory signal. It indicates an increased probability of a significant price movement occurring in the near future, thereby prompting traders to actively look for additional confirming signals that can help establish a directional bias for their trading decisions. Recognizing volatility compression allows traders to anticipate a potential increase in market activity. This anticipation enables them to formulate their trading plans, identify key price levels that will be crucial for confirming breakouts, and proactively manage their risk exposure. However, the actual initiation of a trade should ideally be triggered by a clear directional signal that confirms the breakout from the volatility compression phase.
Trading Strategies Based on Volatility Compression
Traders often employ various strategies to capitalize on the potential for significant price movements that typically follow periods of volatility compression in the S&P 500. Breakout trading strategies are common, where traders actively seek to identify the moment when the price of the S&P 500 decisively breaks out of the defined range established during the volatility compression phase. They then initiate long positions if the breakout is to the upside and short positions if the breakout is to the downside. A critical element of these strategies is the observation of a significant increase in trading volume accompanying the price breakout, which is often seen as a confirmation of the move’s strength and potential for continuation.
Options trading strategies also play a significant role in profiting from anticipated volatility expansion. For instance, buying straddles or strangles allows traders to benefit from a large price movement in either direction, as these strategies involve purchasing both call and put options with the same expiration date but different strike prices (strangles) or the same strike price (straddles). Some specialized options strategies are specifically designed to profit from non-directional increases in volatility, such as Don Fishback’s Odds Compression methodology, which seeks opportunities when a stock’s price has converged into a very narrow range, anticipating a breakout in either direction.
The Volatility Contraction Pattern (VCP) is a specific chart pattern that many traders watch for as a signal of potential upward breakouts following a period of volatility compression. This pattern is characterized by a series of successive price pullbacks, each smaller than the last, accompanied by decreasing trading volume. This price action is interpreted as a sign that selling pressure is diminishing while buying demand is potentially building, often leading to a strong upward price movement. Key characteristics of a VCP include evidence of strong underlying demand prior to the compression, recent overbought conditions that introduce supply pressure, and ultimately, diminishing supply indicated by decreasing volatility and a noticeable drop in trading volume, sometimes referred to as “volume dry-up”.
Trading strategies based on the TTM Squeeze indicator involve identifying periods of low volatility, indicated by the “squeeze” condition, and then looking for the “firing” of the squeeze. This firing is often accompanied by a directional signal from the indicator’s momentum histogram, which traders use to determine whether to initiate long or short positions. To increase the likelihood of success, traders often align these TTM Squeeze signals with the prevailing trend observed on higher timeframe charts.
The fundamental principle underlying all these strategies is the understanding that extended periods of low volatility are inherently unstable and will eventually give way to periods of increased volatility and significant price movement as the market’s equilibrium is disrupted. The practical application of these strategies typically involves identifying a phase of volatility compression using the aforementioned tools, establishing specific entry points based on confirmed breakouts or options triggers, and diligently managing risk through the use of stop-loss orders to limit potential losses. Backtesting analysis, where traders evaluate the historical performance of these strategies on past market data, can provide valuable insights into their potential profitability and risk characteristics across different market conditions. While backtesting results are not guarantees of future performance, they can help traders assess the viability and potential of volatility compression-based trading strategies.
Factors Influencing Volatility Compression and Subsequent Moves
Several key macroeconomic factors can contribute to periods of volatility compression in the S&P 500. A sustained low interest rate environment, for instance, can reduce the cost of borrowing and potentially dampen market volatility. Similarly, a period of overall stable macroeconomic performance, characterized by consistent economic growth and low inflation, can also lead to lower levels of market volatility. Conversely, macroeconomic uncertainties, such as those related to the future path of interest rates, expectations regarding inflation, and the overall outlook for economic growth, can trigger an increase in market volatility and potentially lead to sharp price movements in the S&P 500.
Market sentiment plays a significant role in influencing both volatility compression and the subsequent sharp moves. Periods of high investor confidence and a sense of complacency might coincide with low market volatility, as investors are less inclined to react strongly to minor market fluctuations. Conversely, heightened levels of fear and uncertainty among investors typically lead to increased market volatility and larger price swings as participants become more reactive to news and potential risks.
Significant news events and geopolitical developments can also have a profound impact on market volatility. Breaking news, unexpected policy announcements (such as changes in tariffs or trade agreements), or escalating geopolitical tensions can quickly disrupt periods of low volatility and trigger substantial price movements in the S&P 500. These events introduce uncertainty and can cause investors to reassess their positions, leading to increased trading activity and volatility.
Other market-specific factors can also affect volatility compression in the S&P 500. The increasing popularity and trading volume of short-term options, particularly zero-days-to-expiry (0DTE) options, and the growing issuance of yield-enhancing structured products are factors that some observers believe can contribute to the compression of overall market volatility. Additionally, a lower correlation of equity returns among the individual stocks that constitute the S&P 500 can result in subdued overall index volatility, even if some individual stocks are experiencing significant price fluctuations. The complex interplay of these macroeconomic conditions, shifts in market psychology, impactful news events, and evolving market structures creates the dynamic environment that drives both periods of volatility compression and the subsequent sharp price movements observed in the S&P 500.
Limitations and Risks of Using Volatility Compression as a Signal
Relying solely on volatility compression as a trading indicator carries the inherent risk of encountering false signals. Periods of low volatility can sometimes persist for extended durations without a significant breakout ever materializing. Conversely, breakouts can occur but subsequently fail to maintain momentum, leading to whipsaw trading conditions where traders are stopped out of positions prematurely.
It is therefore critically important to utilize volatility compression in conjunction with other complementary technical analysis tools and a thorough understanding of the fundamental market context to enhance the probability of successful trades. Confirmation of a potential breakout should be sought through various indicators, such as a significant increase in trading volume accompanying the price movement, the price decisively breaking through established support or resistance levels, or corroborating signals from momentum indicators that suggest the move has strength and conviction.
There are specific market conditions under which volatility compression might prove to be a less reliable signal for predicting sharp moves in the S&P 500. During periods characterized by extreme market manipulation, unforeseen “black swan” events that defy typical market logic, or in highly illiquid market environments where normal volatility patterns are disrupted, the predictive power of volatility compression can be significantly diminished. Furthermore, it is essential to remember the fundamental limitation that volatility compression, when analyzed in isolation, does not provide a reliable indication of the direction of the anticipated sharp price movement, whether it will be upwards or downwards. An over-reliance on volatility compression as a singular trading signal, without considering the broader market context and diligently employing appropriate risk management strategies, can ultimately lead to suboptimal trading decisions and potential financial losses.
Conclusion
In summary, the analysis indicates that periods of volatility compression in the S&P 500 are frequently followed by an expansion of volatility and an increased probability of sharp price movements. While the observation of volatility compression can indeed serve as a valuable early signal, alerting traders to the potential for a significant market move, it is crucial to recognize its limitations. Notably, volatility compression does not reliably predict the direction of the subsequent price change. Therefore, it is recommended that traders and investors integrate the analysis of volatility compression into their overall market assessment framework, utilizing it in conjunction with a comprehensive suite of other technical and fundamental analysis techniques. Furthermore, the consistent application of sound risk management principles is paramount when trading based on volatility compression or any other market signal.
Works cited
www.interactivebrokers.com, accessed May 4, 2025
https://www.interactivebrokers.com/campus/trading-lessons/volatility/#:~:text=When%20the%20ratio%20of%20short,to%20be%20in%20volatility%20compression. Volatility | Trading Lesson | Traders’ Academy | IBKR Campus, accessed May 4, 2025
https://www.interactivebrokers.com/campus/trading-lessons/volatility/ Volatility: Meaning in Finance and How It Works With Stocks, accessed May 4, 2025
https://www.investopedia.com/terms/v/volatility.asp Trading Compression: Wedges, Triangles, Pennants & Flags – Stopsaving.com, accessed May 4, 2025
https://www.stopsaving.com/technical-analysis-course/compression-patterns/ Why is Volatility Important in Trading? – Bookmap, accessed May 4, 2025
https://bookmap.com/blog/why-is-volatility-important-in-trading Top 8 Volatility Indicators That Every Trader Should Know – IG, accessed May 4, 2025
https://www.ig.com/en-ch/trading-strategies/are-these-the-8-best-volatility-indicators-traders-should-know–230427 Bollinger Band Squeeze – ChartSchool – StockCharts.com, accessed May 4, 2025
https://chartschool.stockcharts.com/table-of-contents/trading-strategies-and-models/trading-strategies/bollinger-band-squeeze TTM Squeeze | ChartSchool | StockCharts.com, accessed May 4, 2025
https://chartschool.stockcharts.com/table-of-contents/technical-indicators-and-overlays/technical-indicators/ttm-squeeze Introduction to TTM Squeeze | TrendSpider Learning Center, accessed May 4, 2025
https://trendspider.com/learning-center/introduction-to-ttm-squeeze/ Volatility Index®Methodology: Cboe 1-Day Volatility Index® – Cboe Global Markets, accessed May 4, 2025
https://cdn.cboe.com/api/global/us_indices/governance/Volatility_Index_Methodology_Cboe_1-Day_Volatility_Index.pdf Monitoring volatility in financial markets, accessed May 4, 2025
https://www.esma.europa.eu/sites/default/files/trv_2018_2-monitoring_volatility_in_financial_markets.pdf What could explain the recent drop in VIX? – Bank for International Settlements, accessed May 4, 2025
https://www.bis.org/publ/qtrpdf/r_qt2403x.htm Inside Volatility Trading: Breaking Down the VIX Index and its Correlation to the S&P 500 Index – Cboe Global Markets, accessed May 4, 2025
https://www.cboe.com/insights/posts/inside-volatility-trading-breaking-down-the-vix-index-and-its-correlation-to-the-s-p-500-index/ Volatility Trading Strategies: How to Trade Volatility – Admiral Markets, accessed May 4, 2025
https://admiralmarkets.com/education/articles/general-trading/volatility-trading-strategies Volatilitycontraction — Indicateurs et Stratégies – TradingView, accessed May 4, 2025
https://fr.tradingview.com/scripts/volatilitycontraction/ Taking the long view on tariff-driven volatility – Janus Henderson Investors, accessed May 4, 2025
https://www.janushenderson.com/en-no/institutional/article/taking-the-long-view-on-tariff-driven-volatility/ S&P 500 ® Index Historical Trends – Guggenheim Investments, accessed May 4, 2025
https://www.guggenheiminvestments.com/advisor-resources/interactive-tools/sp-500-historical-trends The Market Moves in Regimes: A Historical Look at S&P 500 Price Cycles | WisdomTree, accessed May 4, 2025
https://www.wisdomtree.com/investments/blog/2025/04/07/the-market-moves-in-regimes-a-historical-look-at-sp-500-price-cycles Here’s what recent history says happens after the S&P 500 breaches this critical level, accessed May 4, 2025
https://www.morningstar.com/news/marketwatch/20250307232/heres-what-recent-history-says-happens-after-the-sp-500-breaches-this-critical-level Dow nosedives 1600 points, S&P 500 and Nasdaq drop the most since 2020 after Trump’s tariff onslaught – NBC10 Philadelphia, accessed May 4, 2025
https://www.nbcphiladelphia.com/news/business/money-report/u-s-stocks-drop-after-hours-as-trump-imposes-sweeping-tariffs-sp-500-etf-falls-2-live-updates/4150072/?os=avdF&ref=app Timeline of U.S. Stock Market Crashes – Investopedia, accessed May 4, 2025
https://www.investopedia.com/timeline-of-stock-market-crashes-5217820 Top 10 Stock Market Drops & Recoveries – Hartford Funds, accessed May 4, 2025
https://www.hartfordfunds.com/practice-management/client-conversations/managing-volatility/top-10-stock-market-drops-recoveries.html Morning Lineup | Bespoke Investment Group, accessed May 4, 2025
https://www.bespokepremium.com/category/morning-lineup/ Taking the long view on tariff-driven volatility – Janus Henderson Investors – US Advisor, accessed May 4, 2025
https://www.janushenderson.com/en-us/advisor/article/taking-the-long-view-on-tariff-driven-volatility/ Taking the long view on tariff-driven volatility – Janus Henderson Investors – South Africa Professional Advisor, accessed May 4, 2025
https://www.janushenderson.com/en-za/advisor/article/taking-the-long-view-on-tariff-driven-volatility/ The S&P 500 pushed through its trading range – but can the bulls hold the line?, accessed May 4, 2025
https://www.morningstar.com/news/marketwatch/20250215223/the-sp-500-pushed-through-its-trading-range-but-can-the-bulls-hold-the-line US GDP Contracts for the First Time in Three Years – Action Forex, accessed May 4, 2025
https://www.actionforex.com/contributors/fundamental-analysis/595437-us-gdp-contracts-for-the-first-time-in-three-years/ Carry off, carry on – Bank for International Settlements, accessed May 4, 2025
https://www.bis.org/publ/qtrpdf/r_qt2409a.htm Calm Before the Storm: Stock’s Volatility Contracts, Ready to ‘Skyrocket’?, accessed May 4, 2025
https://in.investing.com/analysis/calm-before-the-storm-stocks-volatility-contracts-ready-to-skyrocket-200533025 A comparison of machine learning methods for predicting the direction of the US stock market on the basis of volatility indices | Request PDF – ResearchGate, accessed May 4, 2025
https://www.researchgate.net/publication/372931369_A_comparison_of_machine_learning_methods_for_predicting_the_direction_of_the_US_stock_market_on_the_basis_of_volatility_indices (PDF) Predicting the S&P 500 stock market with machine learning models – ResearchGate, accessed May 4, 2025
https://www.researchgate.net/publication/379076543_Predicting_the_SP_500_stock_market_with_machine_learning_models A Practitioner’s Guide to Reading VIX – S&P Global, accessed May 4, 2025
https://www.spglobal.com/spdji/en/education-a-practitioners-guide-to-reading-vix.pdf Implied Volatility Compresses at Stock Market Highs | SpotGamma™, accessed May 4, 2025
https://spotgamma.com/implied-volatility-compresses-at-stock-market-highs/ How to Trade the TTM Squeeze Indicator | TrendSpider Blog, accessed May 4, 2025
https://trendspider.com/blog/how-to-trade-ttm-squeeze-indicator/ Volatility Contraction Pattern (VCP): How to Day Trade It – Tradingsim, accessed May 4, 2025
https://www.tradingsim.com/blog/volatility-contraction-pattern Mastering The Volatility Contraction Pattern – TraderLion, accessed May 4, 2025
https://traderlion.com/technical-analysis/volatility-contraction-pattern/ Don Fishback’s Odds Compression- MetaStock, accessed May 4, 2025
https://www.metastock.com/products/thirdparty/?3pc-add-osc&=1&=1 Volatility Strategies – Ardea Investment Management, accessed May 4, 2025
https://www.ardea.com.au/wp-content/uploads/How-To-Profit-From-Interest-Rate-Volatility.pdf Starting Your Backtest · Volatility User Guide – GetVolatility, accessed May 4, 2025
https://www.getvolatility.com/user-guide/starting-your-backtest Straddling outside and into earnings: Part II – BSIC | Bocconi Students Investment Club, accessed May 4, 2025
https://bsic.it/straddling-outside-and-into-earnings-part-ii-2/ TTM Squeeze Indicator: What Is It & How To Use It | LiteFinance, accessed May 4, 2025
https://www.litefinance.org/blog/for-beginners/best-technical-indicators/ttm-squeeze/ TTM Squeeze Indicator: Technical Signals for Traders – Charles Schwab, accessed May 4, 2025
https://www.schwab.com/learn/story/ttm-squeeze-indicator-technical-signals-traders Technicals and The “TTM Squeeze” – TradeMachine, accessed May 4, 2025
https://learn.trademachine.com/docs/technicals-and-the-ttm-squeeze Volatility Compression Explained! #shorts – YouTube, accessed May 4, 2025
https://m.youtube.com/shorts/XilbGWd2ERs Backtested a Volatility Strategy From an Academic Paper, Beat Market by 4x – Reddit, accessed May 4, 2025
https://www.reddit.com/r/investing/comments/uobsfs/backtested_a_volatility_strategy_from_an_academic/ Volatility – Options Backtesting, Screening, and Charting, accessed May 4, 2025
https://www.getvolatility.com/ Building and Backtesting a Volatility-based Trading Strategy with ChatGPT – R-bloggers, accessed May 4, 2025
https://www.r-bloggers.com/2023/04/building-and-backtesting-a-volatility-based-trading-strategy-with-chatgpt/ Backtesting a Short S&P 500 Strategy – Tradewell, accessed May 4, 2025
https://www.tradewell.app/post/backtesting-a-short-s-p-500-strategy Does THIS Strategy REALLY outperform the S&P500? Backtest in Python – YouTube, accessed May 4, 2025
https://www.youtube.com/watch?v=ZXCSPC3Kw18 Volatility — Indicators and Strategies – TradingView, accessed May 4, 2025
https://www.tradingview.com/scripts/volatility/?script_access=all&script_type=strategies Backtesting a Forecasting Strategy for the S&P500 in Python with pandas | QuantStart, accessed May 4, 2025
https://www.quantstart.com/articles/Backtesting-a-Forecasting-Strategy-for-the-SP500-in-python-with-pandas/ How To Predict S&P 500 Direction (Day Trading)… $TSLA, $NVDA, $FSLR – YouTube, accessed May 4, 2025
https://www.youtube.com/watch?v=w1ZhS9r2XNE The Biggest Backtesting Mistakes You Can Make – Warrior Trading, accessed May 4, 2025
https://www.warriortrading.com/backtesting-mistakes/ Volatility Trading Strategies Course | Learn to Trade Volatility – Quantra by QuantInsti, accessed May 4, 2025
https://quantra.quantinsti.com/course/volatility-trading-strategies TRADERS’ TIPS – JANUARY 2019, accessed May 4, 2025
http://traders.com/Documentation/FEEDbk_docs/2019/01/TradersTips.html 5 factors causing market volatility now – Fidelity Investments, accessed May 4, 2025
https://www.fidelity.com/learning-center/trading-investing/volatility-2025 Seven Considerations To Make When Trading Volatility – tastytrade, accessed May 4, 2025
https://www.tastytrade.com/en/research/seven-considerations-make-when-trading-volatility