Why I Skipped Selling Calls and Bought a 30-Delta Strangle

The hardest trades are often the ones that look sensible on the surface. Bitcoin was pushing toward a visible resistance area near 67, while other risk assets were also firm. Oil had rebounded sharply from around 70 to 84–85, gold had recovered, and SPY was still hesitating near all-time highs. On the chart, the market looked extended. On the volatility screen, it looked more interesting: IVP had risen from an extremely depressed level of 7 to about 19.1.

That combination created a very familiar tension. One instinct said to short calls into strength, collect premium, and let mean reversion do the work. Another instinct said that the move in implied volatility itself may be telling you that the regime has changed enough to justify owning optionality rather than selling it. This is where trading becomes less about prediction and more about process.

Snap shots of 4 instruments price
oil price keeping rising, rebounded from 70 and now is 84. BTC is reaching near resistance level of 68000 . SPY hesitates near All time high level . Gold price recovered from 4000 usd/ounce, now is 4070

Oil continued rising after rebounding from 70 to 84. Bitcoin was approaching resistance near 68,000. SPY hesitated near all-time highs, while gold recovered to around 4,070 per ounce.

BTC DVOL
IVP rose from lowest level of 7 , now is 19.1

IVP rose from its lowest level of 7 to 19.1.

Observation: strength in price does not mean cheap risk

At first glance, shorting calls into a market that has already run can feel disciplined. If a resistance level is visible, the story writes itself: upside is capped, premium can be harvested, and the market is probably due to pause. But markets do not pay us for being plausible. They pay us for being properly positioned when the distribution of outcomes is changing.

That is why I paid close attention to the volatility context. IVP rising from 7 to 19 is still not expensive in absolute terms, but it is a meaningful shift from a very low base. When volatility has been compressed, the first move higher can matter more than the price chart suggests. Selling premium too early can leave you short convexity at exactly the wrong time.

Explanation: the real decision was about regime, not direction

The trade was not simply “Bitcoin near resistance, therefore short calls.” The deeper question was whether the market was transitioning from a low-volatility, complacent regime into a more active one. Oil’s rebound on geopolitical tension, the firmness across risk assets, and the rise in IVP all suggested that the market might be waking up.

When the regime is uncertain, short premium can look attractive but carry hidden fragility. The problem is not the win rate. The problem is the asymmetry. You can collect small premium repeatedly and still give back more than you expected when the market expands its range. In contrast, a long strangle or straddle is expensive only if you buy it without a plan for the size of the move you need.

I was also conflicted because I had previously flattened all positions when IVP was extremely low at 7. That earlier decision mattered. It meant I had already recognized that the market had become too quiet to justify staying heavily exposed. Once the market begins to reprice volatility, it is reasonable to reconsider whether the edge is now in owning movement rather than selling it.

Implication: position sizing matters more than theoretical correctness

I ultimately decided to skip shorting calls and use only about 25% of the intended budget, or $3,000, to buy a 30-delta strangle with roughly 45 days to expiry. That was not a heroic expression of conviction. It was a controlled way to participate in a possible expansion of volatility without overcommitting capital to a single interpretation.

The key lesson is not that long strangles are always better than short calls. The lesson is that the size of the trade should reflect the uncertainty of the regime. When the market is compressing and then begins to stir, optionality can be more valuable than yield. But optionality is still a wasting asset, so the budget must be limited and the time horizon explicit.

  • Do not confuse resistance with free money.

  • Track IVP and the direction of change, not just the absolute level.

  • Ask whether the market is stable or transitioning.

  • Size the trade so that being wrong does not impair the portfolio.

  • Prefer a small, structured expression over a large, fragile one.

Framework: how I think about trades like this

My decision process was straightforward. First, I identified the price setup: Bitcoin approaching a resistance zone while other asset classes remained firm. Second, I assessed volatility: IVP had moved up from a deeply depressed level, but not to a point that made selling premium obviously attractive. Third, I asked what could invalidate the short-premium view: a volatility expansion, continued trend persistence, or a market move driven by cross-asset stress.

From there, the question became one of convexity. If I am early in calling a top, short calls can be a poor way to express it because the downside is open-ended relative to the premium received. A long strangle is not a cheap trade, but it is a cleaner expression when I want exposure to movement rather than a precise directional call. The budget constraint forces discipline.

That is the kind of choice that matters over time. Good investors do not need to be dramatic. They need to survive the transition from one regime to another without making a concentrated mistake. Sometimes that means doing less, using less capital, and accepting that the best trade is the one that preserves future flexibility.

In the end, the decision was less about being bullish or bearish on Bitcoin and more about respecting the possibility that volatility had changed character. That is often where edge lives: not in the forecast, but in the discipline to choose the instrument that best matches uncertainty.

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Why I Increased BTC Option Size When IVP Reached 70%

There is a difference between seeing opportunity and scaling into it responsibly. In BTC options, a high implied volatility percentile can make premium-selling look appealing, but the trade is never just about collecting income. It is about whether the portfolio can absorb the left-tail outcome and still remain functional the next morning.

In this case, I decided to increase lot size to 0.5 BTC on each side, call and put, because IVP had moved up to 70%. That changed the expected value of the trade enough to justify using more of my risk budget. But the decision was not based on optimism. It was based on a pre-defined tolerance for stress, including the possibility that BTC could lose 50% of its value in one night and the portfolio would still survive within an acceptable loss range.

Portfolio snapshot / Each side is shorted more with 0.5 btc

Portfolio snapshot showing each side increased to 0.5 BTC.

Observation: High IVP creates a different opportunity set

Implied volatility percentile is not a prediction. It is a context signal. When IVP reaches 70%, option premium is often rich enough to compensate the seller for taking volatility risk that would be unattractive in calmer conditions. This is one of the few moments when premium-selling can offer enough cushion to justify meaningful exposure.

That does not mean the trade is automatically good. High IV can remain high, and it can also expand further. But a higher IV environment does alter the math. If one is structurally short premium, the opportunity set improves when the market is paying more to transfer uncertainty.

IVP data
IV is high, open opportunity to short options

IV is high, open opportunity to short options.

Explanation: Position sizing is the real decision

Many traders focus on direction, strike selection, or expiry, but the most important variable is often position size. A correct view taken with excessive size can be more dangerous than a mediocre view taken with restraint. In options, this becomes even more obvious because losses can widen quickly when volatility jumps or price gaps.

By moving to 0.5 BTC each side, I was not trying to maximize return on the trade. I was allocating more of the portfolio’s risk budget to harvest premium when the market was paying for insurance. That is a more disciplined lens than simply asking how much premium can be collected.

The key is that size must be tied to survival, not confidence. If the underlying asset can move violently overnight, then the structure of the position must assume that reality. The trade should still make sense after a severe shock, not only in a calm mark-to-market environment.

Implication: Risk budget should be spent where the odds improve

Risk budget is scarce. If it is spent indiscriminately, the portfolio becomes fragile. If it is spent selectively, it becomes more resilient. High IV environments often offer one of the few moments when a seller can demand better compensation for stepping in front of uncertainty.

The discipline is to size up only when the portfolio can truly bear the adverse case. The wrong way to interpret this trade would be as a call to be aggressive whenever premiums look rich. The right interpretation is more precise: when volatility pricing improves, and when downside remains survivable, the portfolio may justify larger exposure.

  • Start with the worst plausible move, not the expected move.

  • Define acceptable loss before entering the trade.

  • Increase size only when the premium justifies the stress.

  • Keep the structure survivable under a severe overnight gap.

  • Let risk budget, not emotion, determine the final lot size.

Closing thoughts: Premium is not the reward; survival is

Premium-selling can be seductive because income is visible while tail risk is abstract. But sophisticated risk taking is not about collecting the most premium. It is about collecting enough premium while preserving the ability to stay in the game.

That is why the important statement in this reflection is not that I increased size. It is that the portfolio would still survive even if BTC were to lose 50% of its value in one night. That is the standard. If a position cannot pass that test, it is too large regardless of how attractive the premium appears.

In volatile markets, the goal is not to be brave. The goal is to be solvent, thoughtful, and repeatable. Once those conditions are met, selective use of higher IVP can become a rational way to harvest premium without compromising long-term compounding.

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Why I Bought Bitcoin Volatility When Nobody Wanted It

Why I Bought Bitcoin Volatility When Nobody Wanted It

Introduction

Three weeks ago, I initiated a Bitcoin long strangle position.

At the time, there was no strong directional view behind the trade. I was not attempting to predict whether Bitcoin would rally or decline.

Instead, the opportunity came from the options market itself.

Implied volatility had fallen to levels that I considered unusually low relative to recent history, creating an attractive environment to own optionality.

If you are new to options investing, I recommend reading Markets Are Auctions: Every Trade Has A Buyer And A Seller first. Understanding how expectations are reflected in prices is often more important than predicting direction.


Looking Beyond Direction

Most market participants focus on a single question:

Where will Bitcoin go next?

While direction matters, I often find it more useful to ask a different question:

Is volatility cheap or expensive?

Options allow investors to trade not only price, but also uncertainty.

When implied volatility becomes depressed, option premiums become relatively inexpensive. In such environments, a trader can potentially benefit from a significant move in either direction without needing to predict the direction itself.

This was the framework behind the trade.


The Market Environment

At the time of entry:

  • Bitcoin price: 80k
  • IV Percentile: 20
  • Days to Expiration: 50
  • Structure: Long Strangle
  • Position Size: 2700 USD premium for 30 delta call and put

The market appeared calm.

Volatility expectations were low.

What made the setup interesting was that the world did not appear calm.

At the time, tensions involving the United States and Iran remained unresolved, and I saw little evidence that uncertainty would disappear anytime soon.

The options market appeared to be pricing a future with limited uncertainty, while the real world suggested otherwise.

That divergence strengthened my conviction that volatility was becoming underpriced.

Many participants were focused on the absence of movement rather than the possibility that movement could return.

Historically, periods of compressed volatility are often followed by periods of expansion. While this is not guaranteed, the risk/reward profile was attractive enough to justify the position.


The Cost of Being Early

Owning volatility is rarely comfortable.

Unlike option sellers, long volatility positions pay for optionality through time decay.

Every day that the market remains inactive, option buyers face:

  • Theta decay (my position has theta decay of 50 USD/day)
  • Lower time value
  • Potential mark-to-market losses (largest unrealized loss was 1600 USD)

For approximately 3 weeks, the trade experienced exactly this challenge.

The market moved less than expected.

The position drifted lower.

At times, it appeared that the thesis might not play out.

This is an important reminder that good trades and comfortable trades are often very different things.

This experience reinforced a lesson I discuss in What Poker Taught Me About Investing: good decisions and comfortable outcomes are rarely the same thing.


When Volatility Returned

Eventually, market conditions changed.

A significant increase in uncertainty led to a sharp expansion in implied volatility.

As volatility expectations increased, option prices rose.

The position benefited from:

  1. Increased implied volatility.
  2. Larger realized market movements.
  3. Improved option valuations across the structure.

IV BEFORE VS AFTER


At entry, Bitcoin’s DVOL stood at 38.36, with an IV Rank of 9.5 and an IV Percentile of 20.8, indicating that implied volatility was trading near the lower end of its one-year range.


Following a period of market uncertainty, DVOL rose above 50, reaching a peak of approximately 82 before stabilizing. This repricing pushed IV Percentile above 50%, substantially increasing option valuations and benefiting long volatility positions.

SCREENSHOT OF POSITION AFTER VOL EXPANSION

The trade ultimately generated approximately profit of about 1200 USD.

More importantly, it demonstrated the value of entering positions when the market is underpricing uncertainty.


Lessons From The Trade

1. Volatility Is An Asset Class

Many traders think only in terms of bullish or bearish outcomes.

Options provide another dimension.

Sometimes the opportunity is not in predicting direction, but in identifying mispriced volatility.

2. Cheap Optionality Can Be Valuable

When implied volatility becomes unusually low, the cost of being wrong decreases.

The market does not need to move in a specific direction.

It simply needs to move.

The market looked calm.

The world did not.

Sometimes that gap is where opportunity begins.

3. Patience Matters

Long volatility positions often require patience.

Theta decay can create pressure before the thesis has time to develop.

Position sizing and risk management become critical.

4. Regimes Change

The best opportunities are rarely permanent.

A successful trade often changes the environment that created it.


Current Positioning

Following the volatility expansion, the opportunity set has evolved.

The market is now pricing significantly more uncertainty than it did at the time of entry.

As a result, I have gradually shifted from being a buyer of volatility toward selectively selling option premium through short put positions.

The objective remains unchanged:

Identify situations where risk and reward become asymmetric and position accordingly.


Final Thoughts

This trade was not about forecasting Bitcoin.

It was about recognizing that volatility itself had become unusually inexpensive.

Markets constantly alternate between underpricing and overpricing risk.

My process focuses on identifying those shifts and adapting accordingly.

Sometimes that means owning volatility.

Sometimes it means selling it.

The objective is not to predict the future.

The objective is to identify situations where expectations and reality have diverged.

Three weeks ago, the market appeared comfortable.

Volatility was cheap.

Uncertainty was not.

That was enough.


This article is provided for educational purposes only and should not be considered investment advice. Past performance does not guarantee future results.

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