Author: Frank, PANews
Whenever the market enters a state of indecision, some people try to predict the next trend using a “marking the boat to seek the sword” style of historical retrospection. In such cases, people often see history repeating itself through these theories and charts, automatically overlayting future market movements with past patterns for validation.
This overlap seems to have a magical effect and is often validated. A blogger claims that this kind of prediction can achieve an accuracy rate of 75% to 80%.
Is this “marking the boat to seek the sword” style of price prediction helping the market identify phases, or is it just packaging noise as prophecy?
From “Tick-Tock Fractal” to “Historical Rhyme”
The peak operation predicting the market top in October 2025 was by an analyst named CryptoBullet. He created an analysis method called “tick-tock” fractals, which, starting in May 2025, predicted that Bitcoin’s price would peak in October.
This model successfully forecasted the end of the bull market. However, CryptoBullet predicted a top of $150,000, while the actual peak only reached about $126,000.
Based on his model’s principles, such an outcome was expected. His main logic is: in previous cycles, a certain number of days after halving often approached the top. When the market enters a similar window, projecting the same time interval and price development could lead to October, with a peak of $150,000.
The most critical parameter in this logic is the time cycle, so the prediction of timing was relatively accurate, but the price did not hit the target.
Another example is KillaXBT, whose core idea is: history does not repeat exactly but often “rhymes.” He combines time cycles, historical pivot windows, and structural symmetry to adapt to the current market.
For example, he doesn’t rigidly scale all time cycles to a fixed ratio or emphasize that certain events will happen at specific times. Instead, he compares the current price window and trend with a certain phase in historical price movements, then makes fuzzy predictions about what might happen next.
This kind of prediction does not involve precise prices or specific timing. It only judges whether the market will rise or fall next.
KillaXBT claims that his prediction accuracy can reach 75% to 80%.
PANews reviewed several of his recent forecasts. For example, in December 2025, he analyzed that the price pattern was highly similar to 2021, predicting a possible bottom around $80,000 and then breaking through $90,000.
The actual trend was that the price did not fall below $80,000 but did break past $90,000, eventually reaching nearly $98,000. Although the price prediction was off, the trend was quite similar to his 2021 scenario.
In January 2026, KillaXBT used another method, based on the statistical pattern of the past 7 months, which showed an average decline of 8% within two weeks after the 14th of each month. He predicted that after January 14, the market might enter another decline, at least 8%.
This prediction was also quite accurate. After January 15, the market briefly peaked and then entered a sharp decline, with a maximum drop of over 38%.
In February 2026, he again predicted a scenario similar to 2022, with a possible rally followed by a drop below $60,000 to form a bottom zone. This prediction has not yet been fully validated, but the recent rebound to around $74,000 did partially confirm some of his forecasted trend.
At first glance, KillaXBT’s predictions seem fairly accurate, earning him a lot of attention and followers.
Mysticism or Science? The Three Main Logics Behind the High Success Rate of “Marking the Boat to Seek the Sword”
But the more practical question is: why are these “marking the boat to seek the sword” predictions often accurate? Is it mysticism or is there some scientific basis?
First: History does rhyme, but the essence of rhyme is caused by liquidity and market heat, which lead to similar market structures. For example, in Wyckoff analysis, the market is divided into four stages: accumulation, markup, distribution, and markdown.
The repeated evolution of markets is driven by recurring market sentiment—fear turning into greed, and greed turning back into fear.
Second: The effectiveness of such predictions is not exclusive to “marking the boat to seek the sword.” Most commonly used technical indicators can achieve similar predictive effects. Looking back at how indicators like MACD, RSI, or trendlines perform on historical data, you’ll find they often give early warning signals at market tops and bottoms.
However, first, these indicators are too familiar to traders, lacking a sense of mystery. Second, compared to “marking the boat” methods, these indicators do not visually show specific trend structures (like a rise followed by a fall). Still, people naturally prefer this straightforward, simple expression.
Third: The luck bias after many predictions. In the book “The Drunkard’s Walk,” there’s an example: if an infinite number of monkeys type randomly on typewriters, one of them will inevitably produce the entire “Iliad” verbatim. This does not mean analysts are just randomly guessing; it illustrates that on social media, many predictions are made daily, and those that are wrong are either ignored or quietly deleted. The successful cases that remain are largely due to luck bias. Influencers aim for traffic, while traders focus on real profits.
“Marking the boat to seek the sword” predictions in crypto are not new; years ago, many similar theories emerged. For example, TechDev overlays Bitcoin’s monthly chart with the 2013 cycle and 1970s gold trends, projecting a top between $200,000 and $390,000; PlanB uses stock-to-flow and floor models, extrapolating halving cycles to $100,000. Many analysts directly apply the 2017 and 2021 local ranges to current trends.
By this cycle, most of these predictions have failed, and they are rarely discussed anymore. When old prophets are phased out, new “drawing masters” with fresh mysticism appear.
Foreseeing does not equal trading strategy; practical flaws in actual trading
A more critical question is: do these “marking the boat” predictions have any real effect on trading?
Let’s revisit the earlier examples.
CryptoBullet’s forecast of a top at $150,000 in October 2025 is just a rough timing estimate, with an incorrect price target. As a trading strategy, such a judgment has limited practical value. It’s hard to open a short position in early October based solely on “top in October” without clear entry points or failure conditions. If traders go short too early, they risk being stopped out during the rally; if they wait until signs of weakness appear, this forecast is more of a post-hoc validation of “rough timing” rather than a concrete trading system.
Similarly, KillaXBT’s December forecast mainly offers directional guidance, not a detailed trading plan. He suggests “the trend will likely bottom out first and then break upward,” but does not specify whether at $82,000, $80,000, or $78,000, nor does he specify at what point a breakdown would invalidate his analogy. For medium- and long-term investors, such guidance may help hold positions without panic selling during declines, but for traders needing precise entries and exits, it lacks critical execution details.
His January forecast might be the most accurate, but since the price only started declining after the 15th, following this forecast blindly could have resulted in being stopped out on the initial upward move. Moreover, this forecast lacks specific price levels, making it impossible to set stop-loss or take-profit points based solely on it.
Overall, these “marking the boat” predictions are more like phase recognition tools rather than directly repeatable trading strategies. They can occasionally help identify risk zones and sentiment shifts, providing some inspiration in vague directions. But once packaged as highly certain prophecies, the problems become evident quickly.
History rhymes, but it does not copy exactly.
For ordinary investors, what’s truly worth learning from these charts is not the “divine graph” itself but the underlying emotions, liquidity, and structural changes they hint at. The real danger lies in treating these vague phase judgments as precise trading commands.
