Charts Are the Last to Know: Jérôme Jutzeler Discusses Bitcoin Risks, Radical Transparency, and the Myth of Perfect Entry

Phemex Prime: Institutional Spotlights is a collaborative thought leadership series co-produced with industry pioneers and executives from institutional investors, providing strategic insights to cut through market noise.

The chart for Bitcoin can appear completely healthy right up until a problem arises. For Jérôme Jutzeler, considering price as the beginning and end of market analysis is problematic.

Known as Jay, Jutzeler is a Swiss crypto finance expert (CCFE) and the founder of JayWave. Before contemplating large Bitcoin positions, he focuses on non-cryptocurrency factors, namely the yen, U.S. Treasury yields, crude oil, the dollar, and global liquidity. Only after that does he turn his attention to funding rates, leverage trading, spot demand, and technical levels.

His approach to transparency is similarly unclouded by emotion. Instead of selecting and sharing screenshots of winning trades, he has built a live dashboard that displays open positions, performance, and drawdowns. While profitable trades may attract attention, what happens when trades fail tells a more useful story.

In this conversation, Jay explains why five positions equate to one bet, why averaging down requires stop points, and why knowing how much one can endure being wrong is more important than finding the perfect entry.

Three Ideas from the Conversation

• Charts may be the last place where risks become visible. The macro environment and leverage can change before prices collapse.

• Win rates are not risk reports. The exposures, drawdowns, and losses behind the results are what matter.

• Positions need an end before they begin. Size, additional orders, and invalidation points should be defined before placing the initial order.

"Anyone Can Post Profitable Trades."

Phemex Prime: You built a live dashboard (dashboard.jaywave.ch) that displays positions and drawdowns instead of posting selected trade results. What led to that decision?

Jérôme Jutzeler: Anyone can post screenshots of profitable trades. However, screenshots tell you almost nothing about the quality of a trader. You cannot see the account size, the leverage used, prior losses, or the actual risks taken.

If I am going to talk publicly about trading, risk management, and professional capital allocation, I believe I should be prepared to hold myself to the same standards. That’s why we built the live trading dashboard.

We don’t just show winning trades. Open positions, unrealized profits and losses, realized performance, drawdowns, and historical win rates are all made public. And this is not a snapshot. We can currently show over 12 months of publicly trackable records with a win rate of over 98%.

For me, it’s not just about the win rate making this meaningful. A high win rate does not make someone a great trader. What matters is that people can verify the data themselves and observe performance over time.

"In an industry flooded with P&L screenshots, we decided to sell data instead of claims."

The dashboard also shows when positions are in drawdown. This is equally important. Trust is not built by pretending to never lose. It is built by showing how one manages risk when wrong.

For me, trading is closer to engineering than prediction: how do you build a system that works even if the next market outlook is wrong? Especially in the DACH region, investors tend to be skeptical of big promises, and I think they should be. Verifiable transparency is a more powerful long-term asset than marketing.

If Charts Are the Endpoint of the Story?

Phemex Prime: Your framework focuses on Bitcoin alongside yen carry trades, U.S. Treasury yields, and crude oil. What do these markets teach us before cryptocurrency charts collapse?

Jutzeler: I do not view Bitcoin and the cryptocurrency market in isolation. In my view, that is one of the biggest mistakes today’s traders can make.

Bitcoin trades 24/7, but the capital that moves it does not exist in a vacuum. That capital reacts to U.S. yields, the dollar, yen, crude oil prices, volatility, credit conditions, and the liquidity of the global financial system.

Consider the yen carry trade. If capital funded cheaply in yen suddenly has to unwind, a rapid deleveraging process can occur. Investors reduce risk, margins tighten, positions are reduced, and liquid assets are sold off. Cryptocurrencies become particularly interesting in that environment because they trade 24/7. During times of stress, they may be one of the first markets to reduce risk.

The same logic applies to U.S. Treasuries. When real yields and long-term interest rates rise, the opportunity cost of holding risk assets increases, tightening the financial environment. Crude oil connects geopolitics, inflation, and monetary policy. If crude oil spikes, it can change the inflation trajectory and make it difficult for the Federal Reserve to ease policy as quickly as the market expects.

Before making large Bitcoin trades, I do not start by asking what the RSI is doing. The first question I ask is: what is the state of global liquidity?

I monitor the yen, U.S. dollar, Treasury yield curve, real yields, crude oil, and volatility. Then I move to the internal structure of cryptocurrencies: open interest, funding, basis, spot flows, and liquidation behavior.

It becomes particularly interesting when these markets start telling different stories. While Bitcoin may appear technically stable, leverage can accumulate, funding can become more aggressive, spot demand can weaken, and the macro liquidity backdrop can deteriorate. The chart may still look healthy, while risks may be accumulating beneath the surface.

"Charts are often not the beginning of the story. They are the endpoint of the transmission chain."

My goal is to understand that chain early enough to adjust risk before a clear breakdown appears on the screen.

The Problem with "Perfect" Indicators

Phemex Prime: When macro takes precedence, what role do your technical indicators play?

Jutzeler: My approach is based on a multi-layered technical confluence combined with macroeconomic and geopolitical context.

I use short-term and long-term MACD, as well as RSI, with my own settings. I do not rely on standard configurations simply because they are default. Indicators are only useful within the framework in which they are interpreted.

I also developed the JayWave Ribbon MA to understand trend structures across different time frames. Within that framework, the relationship and cross of the 200-day and 300-day moving averages can reveal significant structural changes, which is particularly important to me. I combine that with my JayWave Fibonacci technique.

For me, Fibonacci is not simply about drawing Fibonacci retracements and assuming that all standard levels function as support or resistance. It is part of a broader framework to identify areas where price, trend, momentum, and risk-reward begin to converge.

The keyword is confluence. I do not want to make big decisions just because one MACD cross, RSI reaches a level, or price touches a Fibonacci line. I want multiple independent components of the analysis to tell the same story.

Then I add the macro layer. What is happening with global liquidity, Treasury yields, the dollar, crude oil, central banks, and risk appetite? If the macro environment suddenly changes, even a strong technical setup can fail.

My process works top-down: geopolitics → macro environment → market structure → JayWave indicators → Fibonacci zones → position building.

Technical analysis helps define zones. The macro environment aids in determining how much conviction to assign to them. Technical indicators are not predictive tools; they are decision-making tools within a larger risk framework.

Five Positions. One Bet?

Phemex Prime: JayWave Academy emphasizes structured investing rather than gambling. What is the most common psychological error that undermines that discipline?

Jutzeler: In my view, the most destructive bias is not fear. It is ego, or more precisely, the desire to be right.

When traders become emotionally attached to proving the correctness of their analysis, the rules begin to change. Stop losses are moved. Losing positions increase. Traders wait for the breakeven point. Then, revenge trading may begin.

Analytical errors become risk management errors. Analytical errors are part of trading. Risk management errors should not be.

Professional trading starts with uncomfortable questions: How much money will I lose if I am completely wrong? How much can I make? Not the other way around.

I think in risk units, or R. In many professional setups, a risk range of about 0.5% to 1% of account equity per trade may be wiser than the extreme exposure often seen in small trades. However, there is no magic percentage that fits all portfolios.

Correlation may be even more important. If you hold five positions that all depend on the same risk-on scenario for Bitcoin, you do not actually have five independent trades. You may have the same trade five times.

Therefore, portfolio-level risk limits, drawdown thresholds, and kill switches are necessary. If I reach a predefined drawdown, I will reduce risk. I will not increase risk in an attempt to win back money immediately.

Systematic tools make it easier to maintain that discipline. Position sizes should be calculated from entry, invalidation points, and maximum risk. Portfolio exposure should be visualized in real-time. Drawdown limits should be predefined, and all trades should be recorded.

"Professional traders do not have superhuman willpower. They build systems to protect themselves from making emotional decisions."

Is Averaging Down a Strategy or Denial?

Phemex Prime: You gradually build your position. What is the difference between that approach and hoping to recover by adding to losing trades?

Jutzeler: The difference is whether the structure was defined before the position became emotionally related.

One of the core principles behind my methodology is what I call the fan strategy combined with the Christmas tree principle. Instead of entering a full position at one price, I build gradually. The initial order is intentionally small. If the market moves deeper into a predefined accumulation area, individual orders gradually increase in size.

However, this is not blind averaging down. All accumulation zones require support from geopolitics, macro conditions, liquidity, and the technical framework developed at JayWave. Before increasing exposure, I want several layers of evidence pointing in the same direction.

When uncertainty is high, capital commitments remain small. As the market approaches levels where there is a strong asymmetry between risk and potential return, the planned position size increases. I consider this a more precise form of Dollar-Cost Averaging (DCA).

Only after the predefined DCA structure is completed do I define what I call a re-buy zone. This is another area where I can add additional exposure if the broader investment thesis remains intact. Underneath that entire structure, there is a stop loss or final invalidation level.

The order is clear: entry structure → incremental DCA → accumulation complete → re-buy zone → final invalidation. It is not done on the fly after a trade has started.

That is the difference between professional risk management and emotional averaging down. Without an invalidation point, "position building" can become a way to avoid acknowledging that the original thesis has failed.

If I had one piece of advice for someone moving toward institutional-level trading: "Stop looking for the perfect entry. Build a perfect risk structure."

Professional trading is not about predicting the exact bottom. It is about enduring being early, taking advantage of better prices, and knowing exactly where the thesis becomes invalid.

Why Do Risk-Aware Traders Use Derivatives?

Phemex Prime: Derivatives are often associated with taking on more leverage. What role can they play in professional risk management?

Jutzeler: Professional traders do not use derivatives solely to maximize leverage. A portfolio can be long Bitcoin in spot while hedging part of that delta through futures. They can execute bearish trades, arbitrage strategies, market-neutral structures, or tactical hedges.

"Derivatives are not primarily a casino for professionals. They are a risk infrastructure."

Therefore, traders need more than just buy and sell buttons. They need liquidity, reliable APIs, strong execution capabilities, stable matching engines, advanced order types, and the ability to hedge efficiently. Robust exchanges remain important, including platforms like Phemex, where services are available and permitted under applicable regulatory frameworks.

It is also important not to confuse different regulatory issues. MiCA primarily addresses crypto assets and services that are not already regulated as financial products, while many derivatives fall within existing financial market frameworks. Switzerland, not being an EU member, needs to be considered separately.

The broader trend is moving toward more formalized access to cryptocurrencies. Institutional capital requires legal certainty, custody, compliance standards, and governance. At the same time, regulations may affect the products available to different client groups.

I expect more institutional spot, custody, and execution activities to transition to regulated European structures, but sophisticated hedges will continue to require instruments that go beyond spot exposure. Capital does not simply disappear; it moves toward structures that can operate legally, safely, and professionally.

Will Finance Look Different in 10 Years?

Phemex Prime: Will cryptocurrencies converge with traditional finance or replace it?

Jutzeler: I do not think the answer is either/or. Cryptocurrencies will increasingly converge with traditional finance while fundamentally changing parts of it.

At the institutional level, we will see more familiar elements: regulated custody, reporting, compliance, risk models, prime brokerage, credit structures, and derivatives markets. These structures are necessary for large pools of institutional capital to interact with cryptocurrencies.

Beneath that layer, more radical things are happening. Traditional financial markets were built for a world of bank hours, multiple intermediaries, and settlement times of days. Blockchain-based markets could become global, programmable, and available 24/7.

Stablecoins have already demonstrated how efficiently value can move globally. Tokenization can extend that logic to securities, fund units, and other financial assets. Banks, exchanges, and asset management companies will not necessarily disappear; many will integrate technology.

"The front end of finance may still look familiar in ten years. However, the back end will work very differently."

However, the direct lesson for traders is not that futuristic. Markets, infrastructure, and regulations will continue to change. A process that always relies on being right is fragile. A process that defines risk before taking it is likely to adapt better.

Editor's note: The dashboard history and win rate figures above are claims made by Mr. Jutzeler and should be verified on a live dashboard before publication. Win rate alone does not establish profitability or risk-adjusted performance. This interview is for informational purposes only and does not constitute financial, investment, or legal advice.