Yes — and it was a position I had high conviction in, which is exactly the point. My rule is position-level rather than thesis-level: any single holding that runs above a set share of liquid net worth gets trimmed back on schedule, regardless of what I believe about it. A crypto position ran through that ceiling on the way up, and I trimmed into strength, giving up further upside I’d have captured by doing nothing. The plan is the edge because conviction is not a risk parameter. I call it the Ceiling Rule: position size gets decided before the story does.

One example was exiting a crypto position after it reached the maximum loss I had defined before entering the trade, even though the broader market structure still suggested there could be another move higher later. It was tempting to widen the stop and give the position more room, but doing that would have changed the original risk-to-reward calculation.

The decision came down to the position size, the predefined loss limit, and the fact that the trade had invalidated the setup I originally entered on. I accepted that the market could reverse immediately after I exited. That possibility is unavoidable.

The experience reinforced an important principle for me: a risk-management plan should be designed before the trade, not rewritten because you don’t like the outcome. Missing some potential upside is preferable to turning a controlled loss into an uncontrolled one.

As a lawyer and corporate risk executive, my approach to volatile exposures relies strictly on pre-agreed tripwires set before entering any market. When navigating high-volatility holdings like crypto or forex pairs, automated risk thresholds must always override sentiment and potential upside.

During a cross-border digital asset position, our live monitoring flagged early policy drift and counterparty jurisdiction risks in an offshore corridor. Even though the market was still rallying, our protocol mandated an immediate exit within a 72-hour trigger window rather than holding for further gains.

The deciding factors were counterparty opacity and sudden regulatory exposure. Preserving capital and maintaining clean compliance will always outweigh the risk of frozen liquidity or regulatory fallout.

Sold half my Bitcoin position in late 2021 around $58,000. The log-scale channel I’ve tracked since 2013 was showing the upper-band compression that historically precedes a 70–80% drawdown. Nothing fundamental had changed, sentiment was still euphoric, and every person I knew was asking how to buy more.

The plan said take profit at the upper channel boundary. So I did.

Bitcoin ran another few thousand dollars before rolling over. I left money on the table. Then it dropped to $16,000, and the half I sold became the best trade of that cycle.

The factors were simple: the channel target was hit, the risk-reward on holding had flipped negative, and I knew from 2017 and 2013 that euphoria is not a reason to stay in; it’s the exit signal. I’ve bootstrapped two companies with no outside capital, so capital preservation matters more to me than squeezing the last 10% out of any trade. Losses aren’t theoretical when they come out of operating cash.

The hardest part is that exiting early always feels wrong in the moment. Every cycle someone calls me early. Every cycle the chart eventually proves the plan was right. The discipline is treating the plan as binding before you know the outcome, not after.

Survival in volatile digital asset markets requires prioritizing a rigid exit protocol over the pursuit of peak profits. During a rally for a mid-cap DeFi protocol ahead of a major network upgrade, I exited my position despite overwhelming bullish sentiment because the asset had reached its maximum allowed percentage of my total liquid portfolio. I sold at my predetermined limit, watching from the sidelines as the price surged another 15 percent in the following hours. This decision was driven by two factors: the realization that market depth can evaporate instantly in mid-cap assets and the architectural understanding that smart contract vulnerabilities are most exposed during peak network activity. By adhering to the plan, I secured my gains and avoided a 40 percent crash that occurred two days later when a market-wide retraction triggered a liquidation cascade. In enterprise architecture, we design for system failure and redundancy; I apply that same discipline to trading. The objective is never to catch the absolute top—which is a matter of luck—but to ensure that one volatile event does not compromise the structural integrity of your capital. Preserving the capacity to trade tomorrow is far more valuable than the speculative gain of an overextended position.