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Cryptocurrency people who use candlestick charts for fortune telling
Source: TechFlow (Shenchao)
AI fortune-telling is nothing new; it can predict everything from facial analysis to choosing seats in mahjong.
But the crypto world is doing it differently, directly incorporating fate into candlestick charts.
On December 13th,@0xSakura樱花, a blogger specializing in crypto metaphysics, released a new app called "Life Candlestick Chart."
By inputting your birth information, AI generates a candlestick chart from age 1 to 100 based on your birth chart, with red and green candles depicting your life's fortune.
This thing went viral on Twitter. The initial tweet garnered over 3.3 million views, and within three days, the website and API calls exceeded 300,000. People started sharing screenshots like crazy, with many saying the generated candlestick charts closely matched their past life trajectories.
Even more bizarrely, this tool, explicitly labeled "for entertainment purposes only," saw a clone token appear within 24 hours of its launch.
Why would an entertainment-oriented fortune-telling tool resonate so strongly within the cryptocurrency community?
Behind this lies a long-standing undercurrent of trading mysticism, and also a concentrated release of collective anxiety within the cryptocurrency world.
The Mystic School in the Trading Industry
It's not surprising that cryptocurrency traders believe in mysticism. Wall Street is no exception.
W.D. Gann was one of the most famous market analysts of the 20th century, and also the person on Wall Street who most deeply combined mysticism and technical analysis, using astrology to predict market trends for trading.
George Soros admitted in *The Alchemy of Finance* that he would judge market risk based on the severity of his back pain. When the market is about to reverse, his back will ache intensely.
But these stories have long remained at the level of "legend," with few openly admitting to using metaphysics to guide their trading.
Privately, one might set up feng shui arrangements, wear lucky beads, or consult a master, but this must not be known to peers, otherwise it would be considered unprofessional.
The cryptocurrency world has broken this taboo.
In this industry, which inherently possesses an air of mystery, metaphysics seems a natural fit. Some predict BTC's fortune for the coming year based on astrological charts, while others use today's fortune to decide whether to open a trade.
Furthermore, discussions about metaphysics within the crypto industry seem to have increased significantly in recent years. More and more people, either trusting or out of curiosity, are joining the ranks of those engaging in metaphysical trading. A large number of cryptocurrency bloggers on Twitter have emerged, specializing in metaphysical analysis.
The explosive popularity of "life charts" is a prime example.
Many users in the community exchange and discuss their "life trajectory" with attitudes ranging from serious to joking. They don't see themselves as "superstitious"; they are simply using a more interesting way to share their feelings about uncertainty with peers.
The role of metaphysics among traders has shifted, transforming from a Wall Street secret into a public topic on cryptocurrency social media.
Why is metaphysics more popular in the crypto industry?
Why do crypto traders need metaphysics?
The answer to this question can be broadly categorized into three reasons:
Psychological compensation for anxiety about uncertainty
The crypto market is a perfect environment for creating anxiety.
Trading 24/7, 365 days a year, with no circuit breakers, means that wild swings can happen instantly.
Here, a single tweet from a prominent figure can wipe out hundreds of millions or even billions of dollars in market capitalization for a coin in an instant, and the founders of well-packaged projects can disappear overnight.
Traders constantly face "unknown risks," and the most terrifying aspect is not the "risk" itself, but the "unknown."
Economist Frank Knight pointed out in 1921 that risk is a quantifiable probability (like rolling dice), while uncertainty is an unquantifiable unknown (like whether war will break out tomorrow).
Humans are inherently afraid of uncertainty. When humans cannot quantify risk, they instinctively create "false certainty" to alleviate anxiety.
Metaphysics is precisely the perfect vehicle for this false certainty.
When you can't find your direction, checking today's trading almanac can at least give you a clear indication.
Within the cryptocurrency world, crypto astrologer @AstroCryptoGuru, with 51,000 followers, uses Bitcoin's "birth chart" (genesis block time January 3, 2009) combined with planetary cycles to make predictions:
Saturn signals correspond to bear markets, and Jupiter signals correspond to bull market peaks. He claims to have successfully predicted the December 2017 bull market peak, the 2022 bear market, and the 2024 BTC high.
This method of prediction, which links specific dates to celestial events, provides traders with a clear "wait signal" when market conditions are uncertain, even if that signal comes from outer space.
"Don't trade during Mercury retrograde," "A full moon will cause a crash," "Astrological charts indicate a BTC bull market next year"—these directional predictions don't require complex technical analysis or reading obscure white papers; you only need to believe in "predestination."
A 2006 study by the University of Michigan found that stock markets in 48 countries returned 6.6% less during a full moon than during a new moon.
This isn't because the moon actually influences the market, but because collective superstition influences trader behavior. When enough people believe "a full moon will cause a crash," they sell in advance, and the crash actually happens.
In the cryptocurrency world, this collective anxiety is even more intense, especially during a bear market. All "fundamental analysis" and "value investing" become a joke, while mystical analysis seems more reliable.
Therefore, traders need mystical methods, not because they are accurate, but because they offer an explanation, even if that explanation is false, it's still easier to accept than unpredictable uncertainty.
Cognitive bias leads to self-reinforcement
Why does mysticism always "seem effective"?
The reason mysticism continues to be popular in the cryptocurrency world is not only because it alleviates anxiety, but also because it "seems to actually work."
This isn't because mysticism itself is accurate, but because cognitive biases in the brain are self-reinforcing.
The most typical example is confirmation bias: when you believe "a full moon will cause a crash," you'll remember all the cases where a crash occurred after a full moon, while ignoring those days of surges or sideways movement. When your "life chart" shows this year is a bull market, you'll attribute every small rise to "the chart coming true," while interpreting crashes as "short-term corrections that don't affect the overall trend."
The social media environment within the cryptocurrency world amplifies this bias many times over.
Tweets like, "I followed the tarot card advice to go long on ETH contracts and made 20% in three days!" are highly likely to be widely shared, liked, and screenshotted.
However, traders who lost money following tarot card advice won't post about it, and their posts won't be seen.
As a result, the community's information flow is filled with cases of seemingly miraculous outcomes, while failures are filtered out.
Similar cases are ubiquitous on Twitter. For example, when @ChartingGuy predicted the Blood Moon in March of this year, regardless of market movements, there was always room for explanation: "early peak," "delayed fulfillment," "requires conjunction with other planetary angles."
And if BTC did indeed pull back during that period, this tweet would be repeatedly cited as a "prophetic prediction."
When BTC crashes, traders desperately need a reason. We look at social media: technical analysis says "it broke through support levels," macro analysis says "Japan raised interest rates," but these explanations are too complex and uncertain.
Metaphysics offers a simple and straightforward answer: "Saturn retrograde means the cryptocurrency market is entering a bear market cycle."
This explanation requires no understanding of market trends, policies, or data; it only requires the belief that celestial movements influence the market. Thus, it spread rapidly and became a consensus.
More importantly, the ambiguity of metaphysics means it can never be disproven.
A guru says not to trade during Mercury retrograde. If you lose money, it's because you didn't heed the guru's advice; if you profit, it's because your birth chart is special and suited for counter-trend trading. Tarot cards indicate significant recent volatility, and whether the price goes up or down, it's considered accurate.
This characteristic of being able to be interpreted correctly in any way makes metaphysics invincible in the cryptocurrency market.
Therefore, traders are not superstitious; rather, their brains are processing information in the most energy-efficient way: remembering what's useful, ignoring what's useless, and replacing complex analysis with simple explanations.
Metaphysics is not popular because it's accurate, but because it always seems accurate.
The Social Attributes of Metaphysics
Another reason for the popularity of metaphysics in the cryptocurrency market is that it has become a kind of social currency.
Discussions about technical analysis may lead to disagreements, but discussions about metaphysics have no right or wrong, only resonance. The question, "Is your life's K-line accurate?" is widely discussed not because people genuinely believe it, but because it's a topic anyone can participate in, requiring no professional expertise.
An example perfectly illustrates the existence of this demand for metaphysics.
Previously, our readers kept asking if we could add a horoscope function. Because of the numerous inquiries, we actually created a "Today's Horoscope" section on our website.
People don't necessarily rely on it for decision-making, but they want a common topic, a daily ritual for mental well-being.
When you say in a group chat, "Mercury retrograde today, I'm not trading," no one will question you, "That's not scientific." Instead, someone will reply, "Me too, let's get through this together."
The essence of this interaction is actually confirming that each other's anxieties are reasonable.
A 2025 Pew Research survey showed that 28% of American adults consult astrology, tarot cards, or fortune telling at least once a year.
Mysticism is no longer a fringe culture, but a universal psychological need. The crypto world has simply transformed this need from "private use" to "public display."
In this market without authoritative answers, mysticism doesn't offer answers, but rather companionship.
So, how accurate is your "life chart"?
The explosive popularity of "life charts" lies in using the crypto world to express what every trader feels but dares not admit: our sense of control over the market may be as fragile as our sense of control over fate.
When you see your "life chart" showing a bear market this year, you won't actually liquidate your entire position and leave the market. But you'll feel less self-blame when you lose, and more comfort when you miss out:
"This isn't my problem; my astrological cycle is wrong."
In this 24/7, year-round, and uncertain market, what we really want to predict isn't our life's trajectory, but rather a psychological support that keeps us at the poker table.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link
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