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Turbocharged Returns Unleashed: 9 Life-Changing Secrets to Capitalize on Derivative Market Volatility in 2025

Turbocharged Returns Unleashed: 9 Life-Changing Secrets to Capitalize on Derivative Market Volatility in 2025

Published:
2025-12-23 11:45:02
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Unleash Turbocharged Returns: 9 Proven, Life-Changing Secrets to Capitalizing on Derivative Market Volatility

Derivative markets convulse—and a handful of traders pocket fortunes while others watch. Forget buy-and-hope. This is about engineered advantage.

Secret #1: Volatility Isn't Risk, It's Raw Material

The pros don't fear the swing; they fabricate positions that profit from it. They treat wild price action as feedstock for structured returns.

Secret #2: Structure Over Speculation

Ditch the directional gamble. Deploy defined-risk strategies—iron condors, butterflies—that harvest premium from market indecision itself.

Secret #3: The Greeks Are Your Co-Pilots

Delta, Gamma, Theta, Vega. These aren't academic concepts; they're the levers you pull daily to adjust exposure and skew odds relentlessly in your favor.

Secret #4: Capital Efficiency as a Weapon

Why tie up a mountain of cash? Sophisticated margin use and portfolio margin accounts free up capital, amplifying your strategic firepower.

Secret #5: Tail Risk Is Not a Myth

Black swans flock. The real secret isn't predicting them—it's having cheap, long-dated hedges in place that pay out catastrophically when the herd panics.

Secret #6: Liquidity Hunting

Deploy capital only where the order book is deep and tight. Slippage is a silent killer of alpha; illiquid options are financial quicksand.

Secret #7: Multi-Legged Beasts Win

Single options are blunt instruments. Combining puts, calls, strikes, and expirations creates a custom payoff profile that matches your market thesis precisely.

Secret #8: Dynamic Management Is Non-Negotiable

Set-and-forget is for amateurs. Actively roll positions, adjust deltas, and take profits methodically. Your portfolio is a living engine that needs tuning.

Secret #9: Psychology Is the Final Edge

Discipline trumps genius. A mechanical process for taking losses cuts out the emotion that bankrupts the average punter chasing last week's rally.

Master these nine pillars, and you stop being a spectator to volatility. You become its architect. Just remember—for every genius structuring a winning trade, there's a investment banker charging 2-and-20 to sell them the blueprint.

The 9 Proven Tips to Capitalize on Derivative Market Volatility

  • Master the IV Percentile Rule: Time Your Trades Based on Relative Volatility.
  • Harvest the Volatility Risk Premium: Sell Premium When Implied Volatility (IV) Spikes (Short Strangles/Condors).
  • Implement ‘First Responder’ Portfolio Hedges: Utilize Long Volatility for Tail Risk Mitigation.
  • Go Long Volatility in Quiet Markets: Employ Calendar Spreads During Low IV Environments.
  • Exploit the VIX Term Structure: Trade Contango and Backwardation in VIX Futures.
  • Hedge Against Time Decay: Structure Trades to Benefit from Positive Theta ($Theta$).
  • Optimize Vega Exposure: Time Entries and Exits Based on Volatility Sensitivity ($nu$).
  • Stabilize Positions with Delta-Gamma Hedging: Maintain Neutrality in Highly Volatile Swings ($Delta$/$Gamma$).
  • Discipline Your Exposure: Utilize Smaller Sizing and Wider Stops in Turbulent Markets.
  • Section 1: Foundational Strategies: Timing the Volatility Cycle

    1. Master the IV Percentile Rule: Time Your Trades Based on Relative Volatility

    Effective volatility trading hinges on the principle of mean reversion: the expectation that implied volatility (IV) tends to oscillate around a long-term average. However, the absolute level of IV is often misleading, as what constitutes “high” or “low” volatility for one asset class or period may differ significantly for another. To overcome this subjectivity, sophisticated traders employ the Implied Volatility Percentile (IVP).

    The IVP Mechanism and Application

    The IVP calculates where the current implied volatility stands relative to its own recent historical range, typically over the last 12 months. This tool provides an objective metric for systematic trade timing. A high IV percentile, usually above 75%, signals that option premiums are historically rich, creating optimal conditions for initiating short volatility positions. The expectation underlying such a trade is that IV will contract, reverting back toward its historical mean, causing option prices to fall, benefiting the seller. Conversely, a low IV percentile, often below 25%, indicates that premiums are historically cheap, making it an ideal environment for establishing long volatility positions. The premise here is that IV is likely to expand back toward the mean, increasing the value of purchased options.

    The Value of Objectifying Mean Reversion

    The utilization of the IVP transforms volatility trading from a subjective, emotional exercise into a systematic, objective endeavor. Instead of reacting to an arbitrary high VIX reading (e.g., 15) which may be normal for the current market regime, the trader is forced to reference the asset’s natural volatility rhythm. This systematic timing mechanism dramatically improves the efficiency of trade execution. When selling volatility, timing the entry using a high IVP maximizes the collected premium. When buying volatility, timing the entry using a low IVP minimizes the capital outlay required to purchase expensive options. By adhering to this mechanical rule, traders are reinforced in their discipline, allowing them to capitalize on mean reversion without relying on subjective judgment or attempting to perfectly time market swings, which is consistently identified as a leading mistake for investors.

    2. Harvest the Volatility Risk Premium: Sell Premium When IV Spikes (Short Strangles/Condors)

    The Volatility Risk Premium (VRP) is arguably the most pervasive and exploitable structural inefficiency in financial derivatives markets. The VRP exists because implied volatility, derived from current option prices, is consistently and systematically greater than the realized historical volatility. This premium is essentially a risk transfer mechanism: investors willingly pay a premium for portfolio insurance, primarily through purchasing put options, driven by a strong aversion to negative returns and high volatility.

    Optimal Timing and Strategy Implementation

    This consistent market behavior creates a robust, high-yield opportunity for the seller of options (the short volatility trader). The optimal timing for harvesting this premium is when implied volatility expectations are elevated (High IV), as this is when option premiums are richest.

    Two primary short volatility strategies are employed to capture this premium:

    • Short Strangle: This strategy involves simultaneously selling an out-of-the-money (OTM) call option and an OTM put option with the same expiration date. The goal is for the underlying asset’s price to remain within the range defined by the two strike prices, allowing both options to expire worthless and maximizing the profit collected from the initial premium. The strategy is highly profitable when the underlying price remains stable or exhibits insufficient movement to breach the strike prices.
    • Short Iron Condor: Recognizing the extreme risks of the unhedged Short Strangle, the Short Iron Condor provides a sophisticated alternative. It consists of a Short Strangle (selling OTM call and put) combined with protective long OTM options further out, defining the risk. This structure limits maximum potential loss, making it a “defined risk strangle”. The Iron Condor benefits from the systematic passage of time (positive Theta) and any subsequent decrease in implied volatility.
    Critical Risk Management of Short Volatility

    Caution is indispensable when deploying short volatility strategies. Although the premium collection provides modest returns in most environments, the return distribution is highly abnormal, characterized by the risk of high-magnitude, low-frequency losses—often referred to as tail risk. Historical examples show that short put sellers have incurred losses up to $-800%$. Due to the potential for substantial, serially correlated negative days, these strategies require significant margin reserves to ensure solvency during sharp market dislocations.

    3. Implement ‘First Responder’ Portfolio Hedges: Utilize Long Volatility for Tail Risk Mitigation

    Volatility strategies are not solely utilized for generating absolute returns; they serve a crucial role in risk mitigation and portfolio defense. Long volatility strategies are investment approaches specifically designed to profit from sharply rising levels of actual or expected volatility in the financial markets.

    Mechanism as a Structural Hedge

    The foundation of using long volatility as a hedge lies in the inverse correlation between implied volatility and equity prices. The Cboe Volatility Index (VIX), which measures the expected 30-day movement of the S&P 500 ($text{SPX}$), consistently moves in the opposite direction of the $text{SPX}$. VIX typically reaches its highest levels when the stock market is most unsettled and investor anxiety (or “fear”) spikes.

    Therefore, owning assets that benefit from increased volatility, such as purchased options or VIX-linked derivatives, creates a powerful defense mechanism. These positions are specifically designed to provide a rapid, large increase in value when the overall equity market experiences a sharp, quick drawdown or shock. They are intended to act as a “First Responder” during the initial stages of market turmoil.

    Reliability and Structural Allocation

    Unlike many traditional SAFE haven assets, such as cash or long-term Treasuries, long volatility has demonstrated a more consistent and reliable hedge against a broad range of market downturns. Its effectiveness stems from a low or negative correlation with core equity and credit risk, making it a valuable addition to any growth-oriented portfolio.

    The consistent negative correlation between long volatility and the primary drivers of growth portfolios elevates this approach beyond a tactical trade; it becomes a structural asset class allocation within a broader Risk Mitigating Strategy (RMS) framework. While a long volatility position may yield modest returns or even lose capital in stable market environments (due to the persistent drag of time decay), its true purpose is realized during catastrophic events. It provides essential liquidity and catastrophic insurance exactly when a portfolio requires it most, justifying a small, permanent, structural allocation within an investment portfolio.

    Section 2: Tactical Volatility Plays and Option Mechanics

    4. Go Long Volatility in Quiet Markets: Employ Calendar Spreads During Low IV Environments

    When market complacency reigns and the Implied Volatility Percentile (IVP) is low, option premiums become cheap. This environment is detrimental to premium sellers but represents the optimal opportunity for traders to transition to long volatility strategies, betting on future volatility expansion (a rise in IV). The challenge is to find a long volatility position that mitigates the inherent drag of time decay, which is the daily cost of owning options.

    Strategy Mechanism: Long Calendar Spread

    The Long Calendar Spread is a sophisticated, non-directional options strategy designed to capitalize on both volatility expansion and time differentiation. It is constructed by simultaneouslya longer-term option (e.g., 60 days to expiration, or DTE) anda shorter-term option (e.g., 30 DTE) with the exact same strike price. The position is established for a net debit, meaning the cost of the longer-term option outweighs the premium collected from the shorter-term option.

    Leveraging Vega and Mitigating Theta

    The superiority of the Calendar Spread in a low IV environment stems from its nuanced exposure to the option Greeks:

  • Positive Vega Exposure: The longer-term option is significantly more sensitive to changes in implied volatility (higher Vega, $nu$) than the shorter-term option. Consequently, the overall position possesses a net positive Vega. If IV spikes, the value of the long-term option increases dramatically more than the short-term option, maximizing the profit potential derived purely from volatility expansion.
  • Theta Mitigation: While the long option component incurs daily time decay (negative Theta, $-Theta$), the premium collected from selling the shorter-term option provides a systematic income stream (positive Theta, $+Theta$) that helps offset the total time decay drag. This makes the Calendar Spread a highly efficient mechanism for waiting for volatility expansion, especially compared to simply purchasing a long call or put outright.
  • The target condition for maximum profitability occurs if the underlying asset’s price is exactly equal to the common strike price on the expiration date of the short option. This strategy effectively combines a low-IV entry point with tailored Greek exposure to maximize reward from future market uncertainty while managing the inevitable cost of time.

    5. Exploit the VIX Term Structure: Trade Contango and Backwardation in VIX Futures

    The VIX Index, which acts as a barometer of anticipated 30-day volatility in the S&P 500, offers derivative contracts (futures and options) that allow traders to directly speculate on or hedge against volatility changes. For professional traders, analyzing the VIX futures term structure—the relationship between the prices of VIX futures contracts across different expiration months—is vital for determining market sentiment and identifying actionable trades.

    Understanding Contango and Backwardation

    Academic research suggests that volatility adheres to a mean-reverting process. This implies that the VIX futures basis reflects the expected path of volatility. The term structure can take two primary forms:

  • Contango (Normal Market): This occurs when the VIX futures curve is upward sloping, meaning that longer-dated futures contracts trade at higher prices than nearer-dated contracts, which are typically higher than the spot VIX. Contango signifies market stability; the market expects the current, relatively low VIX to rise toward its long-run average. In this environment, a core systematic trading strategy is to sell the near-term futures or corresponding exchange-traded products, exploiting the tendency for these contracts to lose value as they converge toward the lower spot VIX.
  • Backwardation (Fear Market): This occurs when the VIX futures curve is inverted (downward sloping), where nearer-term futures are priced higher than longer-dated contracts. Backwardation signals extreme market turbulence, indicating that the current VIX level is above its long-run expectation. This inverted curve is a clear sign that volatility has been purchased aggressively, confirming the market’s state of panic, which aligns with the VIX’s designation as the “Fear Index”.
  • Confirmation of Risk Appetite

    The slope of the VIX futures curve provides a quantifiable, real-time measure of investor fear and short-term risk appetite. Backwardation, especially when steep, confirms that immediate uncertainty is spiking and investors are willing to pay an elevated premium for short-term protection. This structure validates the decision-making process for option traders: periods of low IVP should correlate with strong contango, suggesting an opportune time for long volatility plays (Tip 4). Conversely, periods of extremely high IVP should correlate with backwardation, justifying the immediate execution of short volatility strategies (Tip 2), expecting rapid mean reversion and price convergence.

    6. Hedge Against Time Decay: Structure Trades to Benefit from Positive Theta

    In derivatives trading, the passage of time is a guaranteed cost or benefit, quantified by the Greek letter THETA ($Theta$), which represents the rate of an option’s time decay. A long option position invariably possesses negative Theta, meaning its value decreases daily simply due to the proximity of expiration.

    The Strategic Shift to Positive Theta

    Successful volatility traders who are net sellers of premium fundamentally invert this risk by structuring their portfolios for. By selling options (as in Short Strangles or Iron Condors), the trader benefits directly from time decay, collecting premium every day that the options lose value.

    Theta’s decay rate is not linear; it accelerates dramatically as an option approaches its expiration date, particularly when the option is At-The-Money (ATM). Therefore, premium collection strategies are optimized by focusing on selling shorter-dated ATM or slightly out-of-the-money options to maximize the rate of daily decay captured.

    Theta as a Consistent Income Stream

    Volatility changes ($nu$) are inherently uncertain and unpredictable, but the passage of time ($Theta$) is guaranteed. By deliberately adopting a net positive Theta posture, the sophisticated trader establishes a systematic, consistent revenue stream. This income stream serves a vital function: it acts as a constant buffer against minor adverse price movements, reducing the overall capital risk exposure. This positive decay allows the trader to remain solvent and disciplined while waiting for the larger, profitable event—namely, the expected contraction of implied volatility—to occur. This systematic approach ensures that the trader is continuously compensated for providing liquidity and assuming the risk of adverse price movement.

    Table B: Overview of Core Volatility Trading Strategies

    Strategy Type

    IV Environment

    Expected Price Action

    Vega Exposure

    Primary Risk

    Short Strangle/Condor

    High (IV contraction expected)

    Neutral or Non-Movement

    Negative (Profits from IV drop)

    Significant price move outside breakevens (Gamma risk)

    Long Calendar Spread

    Low (IV expansion expected)

    Neutral movement near strike

    Positive (Profits from IV rise)

    Sharp move away from strike price

    Long Put/Call

    Low (IV expansion expected)

    Strong directional move required

    Positive (Profits from IV rise)

    Time Decay ($Theta$)

    Section 3: Advanced Risk Management for Volatility Trading

    7. Optimize Vega Exposure: Time Entries and Exits Based on Volatility Sensitivity

    Vega ($nu$) is the defining risk metric for the volatility trader. It quantifies the option’s sensitivity to changes in the underlying asset’s implied volatility (IV). Specifically, Vega indicates the amount an option’s price will change given a $1%$ change in IV. Understanding and controlling Vega exposure is paramount because IV fluctuations are the primary driver of profit and loss in volatility-focused derivative strategies.

    Vega’s Sensitivity and Strategic Application

    The sensitivity of Vega is not constant; it is maximized for options that are At-The-Money (ATM) and possess longer times until expiration. This means that long-dated, ATM options offer the maximum leverage to an expected IV move.

    The timing of trade execution must be optimized around this sensitivity:

    • Selling Volatility (High IV): When utilizing a high IV environment (via the IVP rule) to sell premium, the trader seeks maximum negative Vega exposure (betting on IV contraction). This requires selling ATM options with sufficient time to expiration to maximize the rich premium collected based on the current high IV reading.
    • Buying Volatility (Low IV): When entering a long volatility position in a low IV environment, the trader seeks maximum positive Vega exposure (betting on an IV spike). This demands purchasing ATM options with longer durations to maximize the leverage gained if the IV expands rapidly.

    Vega functions as a sophisticated volume control mechanism for the volatility trader. If the conviction for an IV change is extremely high—perhaps validated by VIX term structure analysis (Tip 5) or an extreme IVP reading (Tip 1)—the trader should select high-Vega contracts (longer-term ATM options) to maximize potential returns. Conversely, if the conviction is moderate, the trader should utilize shorter-term or deeper Out-of-the-Money options, which possess lower Vega, thereby reducing the portfolio’s sensitivity to uncertain volatility changes.

    8. Stabilize Positions with Delta-Gamma Hedging: Maintain Neutrality in Highly Volatile Swings

    In a highly volatile market, price movements are wide and rapid. Controlling the directional risk—the possibility of the underlying asset moving against the trade—is crucial, especially for non-directional strategies like strangles and condors. This control is achieved through managing Delta ($Delta$) and Gamma ($Gamma$).

    The Interaction of Delta and Gamma

    Delta measures the option’s sensitivity to the underlying asset’s price change, acting as the hedge ratio for the position. A Delta-neutral portfolio ($Delta$ NEAR zero) is theoretically insulated from small price movements in the underlying asset.

    However, the real danger in high volatility environments lies in Gamma ($Gamma$). Gamma measures the rate of change of Delta. Short volatility strategies inherently carry, meaning that as the underlying asset moves sharply, the portfolio’s Delta quickly moves away from zero, forcing the position to become highly directional. Since Gamma accelerates significantly near expiration and is maximized for ATM options, rapid price movements near the expiration date can compound losses exponentially, demanding immediate and costly adjustments.

    Achieving Delta-Gamma Neutrality

    Advanced traders must move beyond simple Delta neutrality to achieve. This requires constantly adjusting the position (re-hedging, often by trading the underlying stock or futures contracts) to maintain a net zero Delta and a net zero Gamma. This dynamic hedging ensures that even if the underlying price moves sharply—a common occurrence in volatile periods—the portfolio remains stable and non-directional. This preserves the original strategic intent of the trade: a purified bet on volatility contraction or expansion, rather than a Leveraged directional speculation.

    For strategies involving multiple underlyings (such as options on diversified indices or ETFs), the hedging complexity increases further, requiring management of, which measures the rate of change of Delta in one underlying relative to the price of another. This precise control is mandatory for insulating multi-asset derivative positions from sudden shifts in correlation and relative price levels.

    9. Discipline Your Exposure: Utilize Smaller Sizing and Wider Stops in Turbulent Markets

    Volatility amplifies both opportunity and risk. Increased market turbulence means the potential for rapid profit is higher, but the commensurate risk of substantial capital loss also increases significantly in a short period. Risk control measures that function effectively in calm markets are often inadequate when volatility spikes.

    Dynamic Adjustment of Risk Defenses

    The primary goal of risk management in derivatives trading is to ensure that the maximum potential loss does not threaten the trader’s long-term solvency. In highly volatile environments, this requires dynamic adjustments to defense mechanisms:

    • Smaller Position Sizing: High volatility inherently increases the percentage risk of any given trade due to wider price fluctuations. To maintain a consistent absolute dollar risk exposure, traders must commit less capital per trade. By utilizing smaller position sizing, the trader offsets the higher inherent risk associated with greater market movement.
    • Wider Stop-Losses: Placing tight, traditional stop-losses during highly volatile periods is often counterproductive. Normal day-to-day price swings are larger than usual when volatility is high, frequently triggering tight stops prematurely and unnecessarily liquidating the position. A prudent strategy is to calculate wider stop-losses (e.g., using a statistical measure of volatility like Average True Range, or ATR) while simultaneously reducing position size to manage the total risk capital at stake.
    The Importance of Dynamic Risk Adaptation

    Risk management is not static. The decision to commit less capital when markets are turbulent is a disciplined adaptation necessary to protect capital against tail events and avoid being “stopped out” by market noise. This consistent approach, emphasizing capital preservation through dynamic sizing and systematic risk adherence, is far more critical to long-term success than attempting to perfectly time every market swing. When faced with conflicting data or signals in a dynamic environment, strict adherence to predefined, conservative risk parameters is paramount for sound decision-making.

    Table C: Key Option Greeks for Volatility Risk Management

    Greek

    Definition

    Impact on Option Value

    Trading Relevance

    Delta ($Delta$)

    Sensitivity to underlying price change.

    Value changes per $$1$ underlying move.

    Hedge Ratio, directional exposure

    Theta ($Theta$)

    Sensitivity to time decay.

    Value decreases as time passes.

    Crucial for premium selling strategies; determines daily income/cost

    Gamma ($Gamma$)

    Sensitivity of Delta to underlying price change.

    Determines how fast Delta moves.

    Stability measure; crucial for dynamic hedging in short volatility

    Vega ($nu$)

    Sensitivity to Implied Volatility change.

    Value changes per $1%$ change in IV.

    Primary driver of profit/loss in volatility trading; used for timing entry/exit

    Essential Risk Mitigation Tools and Strategic Discipline

    Strategic Consistency and Technical Integration

    Successful engagement with derivative market volatility relies less on finding “hot trades” or perfectly timing swings, and more on maintaining a disciplined, consistent strategy over time. For volatility specialists, this consistency means strictly adhering to quantitative signals, such as the IVP or VIX term structure, and maintaining defined risk parameters, even when market fear or euphoria attempts to disrupt the planned course of action.

    Integrating technical analysis, such as using volume analysis and moving averages, helps identify high-probability entry and exit points for derivative trades, especially when managing complex, dynamically hedged positions. This systematic approach reduces reliance on emotional decision-making, which is frequently cited as a major contributor to investing mistakes.

    Liquidity and Market Structure

    Derivatives markets play an essential role in price discovery by providing transparent pricing for risk and uncertainty. Market makers contribute substantially to market liquidity, facilitating the necessary scale for executing the advanced strategies discussed. The sophistication of volatility tracking has improved over time; the original VIX index, while a landmark innovation, was later redesigned using a broader portfolio of $text{SPX}$ options to enhance its accuracy and relevance as a measure of expected deviation. Traders benefit from understanding these market mechanics to ensure efficient execution and accurate pricing of their complex positions.

    FAQ: Mastering Derivative Volatility

    What is the difference between VIX and Historical Volatility?

    Historical Volatility (HV) is a backward-looking statistical calculation based on the underlying asset’s previous price movements over a specific time period. In contrast, the CBOE Volatility Index (VIX) is a real-time, forward-looking market index. The VIX measures the collective market’s expectation of the S&P 500’s volatility over the next 30 days, essentially quantifying investor anxiety and perceived risk. High VIX values (above 30) generally indicate greater market fear and uncertainty.

    How do derivatives enable exposure without direct ownership?

    A derivative is a financial instrument whose value is derived from an underlying asset, such as an index, stock, or commodity. Derivatives allow investors to gain leveraged, synthetic exposure to the expected price movement of that underlying asset without the necessity of purchasing or holding the asset directly. This feature is vital for implementing complex strategies like short strangles or calendar spreads, which are fundamentally bets on volatility or time, not ownership.

    How does implied volatility affect the price of an option?

    Implied Volatility (IV) is a CORE component of an option’s pricing model. When the market forecasts greater price movement (i.e., when IV increases), the value of the option increases, reflecting a higher probability of the option expiring in the money. Conversely, if IV decreases, the option’s value decreases. This direct sensitivity of an option’s price to changes in IV is measured precisely by the Greek letter Vega ($nu$).

    What is the maximum loss on a Short Strangle versus an Iron Condor?

    Ainvolves selling two out-of-the-money options (a call and a put). Since the underlying asset’s price can theoretically move infinitely high or infinitely low, a short strangle carries a theoreticallyif the price breaches the strike prices significantly. Conversely, anis a structured, defined-risk strategy that uses protective long options to cap the maximum loss. Maximum loss on an Iron Condor is strictly limited to the difference between the strike prices of the protective and sold options, minus the net premium collected when the trade was initiated.

    Can volatility trading lead to permanent capital impairment?

    Yes. While derivatives offer unparalleled opportunities for profit, they carry substantial risks. Short volatility strategies, which profit from consistent premium collection, expose the trader to high-magnitude tail risk events—rare occurrences that can result in catastrophic, disproportionate losses. Conversely, long volatility positions (buying calls/puts) face the systematic risk of time decay (negative Theta); if the expected volatility spike or price move does not materialize before expiration, the entire premium paid can be lost. Strict adherence to Tip 9—disciplined position sizing and risk management—is mandatory to prevent substantial capital impairment.

     

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