How One Trader Made $38K Using ETF Flows and Macro Analysis

How One Trader Made $38K Using ETF Flows and Macro Analysis
Success StoriesJanuary 6, 20264 mins read

Today, we highlight Oliver, a trader who probably spends more time watching the news rather than crypto movements. He does not take scalps on 4-hour charts. His process starts with macro structure, institutional positioning, and capital flow. Before thinking about entries, he wants clarity on who is active in the market, why capital is moving, and whether participation is justified.

Oliver approaches trading with a portfolio manager mindset. He focuses on higher-timeframe structure, ETF flows, and macro developments, then waits for the price to align with that context. Execution is a consequence, not the objective. He trades selectively, with patience, aiming for asymmetric outcomes rather than constant activity.

How Oliver Uses ETF Flows to Time Entries

Q: How do ETF flows influence your directional bias in BTC and ETH?

A: To me, a lot of the movement is already decided by larger players before the move even starts. ETF flows help me see when that positioning is happening. For BTC and ETH, steady inflows usually point to continuation or accumulation, not random back-and-forth. In those situations, I naturally lean more toward longs, maybe 70–30, instead of treating the market as neutral. After that, I wait. Macro news or major events often act as the trigger, not the cause. The positioning is already there.

Why Higher Timeframe Structure Matters in Crypto

Q: How do you define HTF structure, and which timeframes matter most for your bias?

A: I define higher-timeframe structure by looking at how the price behaves on the weekly and daily charts. I want to see where the market is trending, where it is ranging, and which levels have been respected over time. The weekly gives me the overall direction and context. The daily tells me whether that direction is being accepted or challenged.

Once that bias is clear, lower timeframes stop being a decision tool and become an execution tool. If the weekly and daily are not aligned, I do not force a trade. Structure has to make sense first.

From SMC to Macro: Evolving as a Trader

Q: Have you used different strategies in the past?

A: I traded SMC in the past, but I found it too demanding on my private life. I run my own business, which is my main source of income, and trading is something I do because I find it intellectually stimulating. With my current approach, I can stay relaxed and clear-headed. That state of mind is part of my edge.

Q: What would you recommend to traders who trade LTF and fractal structures?

A: I would recommend anchoring lower-timeframe trades to higher-timeframe context. Fractal structure works best when you know where you are within the daily or weekly range. Without that, lower timeframes create a lot of noise and unnecessary stress. If you trade lower timeframes, define the bigger structure first, limit your trading hours, and avoid reacting to every small move. Structure should guide you, and lower timeframes should only refine execution.

The 250% Election Trade Breakdown

Q: What is your best trade during your trading career?

A: My best trade came around the 2024 U.S. presidential election, when Trump became president. Going into that period, macro risk was clearly mispriced. Positioning was stretched, sentiment was complacent, and the political outcome had a very asymmetric downside risk for broader markets.

I normally manage risk very conservatively, but in this case, I increased the size because the probability was unusually high in my opinion. Once the event hit, markets sold off aggressively. The move unfolded exactly as the macro context suggested. That single trade returned roughly 250%.

Key Takeaways for Crypto Traders

Oliver’s journey highlights a side of trading that many overlook. His results did not come from faster execution, more indicators, or constant screen time. They came from understanding context, respecting capital flow, and waiting for moments when probability is clearly skewed.

By focusing on higher-timeframe structure, institutional positioning, and macro catalysts, Oliver removes much of the randomness that traps lower-timeframe traders. His approach shows that trading does not have to dominate your life to be effective. Clarity, patience, and selective risk can outperform constant activity.

“Making money is always better than making money fast and then losing it afterwards.”


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