Crypto trader “PickleCati” says the real measure of success in crypto is not how much someone makes in a single run, but whether they can still keep that money years later. In a long essay tracing her experience since buying her first Bitcoin in 2013, she says she entered the market at 12 years old, lived through multiple bull and bear cycles, and has generated more than $40 million in cumulative profit.
Her central warning is blunt: the “get rich quick” mindset ruins people long before the market does. In her view, almost everyone in crypto can look brilliant for a moment. A newcomer with a small account can catch one move and feel like a genius. Staying solvent across cycles is the harder part, and keeping profits is harder still.
Why she says price is not the real starting signal
In the essay, titled Fearless Through Bulls and Bears: Rules for Surviving Crypto, she separates narrative from consensus. A narrative is the shared story people tell. Consensus is the shared behavior people repeat. A major cycle begins only when both show up together. That is why she tells readers not to start with price charts, but with changes in what people are actually doing on-chain and around the market.
She frames past crypto expansions as waves of coordination around different human impulses. 2017 ICOs coordinated capital and belief. 2020 DeFi coordinated on-chain financial activity. 2021 NFTs pulled culture, identity, and belonging into the center of the market. By 2024, meme coins were clustering around emotion, internet humor, and tribal recognition. In the current stage described in the essay, prediction markets are beginning to coordinate judgment and views about future events.
Her checklist for spotting a genuine shift is behavior-based: Are outsiders entering for reasons other than speculation? Do people remain after rewards shrink? Are they building habits rather than just positions? Will they tolerate rough tools because the activity itself matters? And most important, are they contributing because the system has become part of their identity?
Three case studies from past cycles
To show the difference between a durable shift and a short-lived fake revival, she walks through three market eras. The first is the ICO boom from mid-2017 to mid-2018. Her argument is that this period turned token issuance and online fundraising into a repeatable global coordination model. Even though many ICOs collapsed, the market did not return to the older pattern. The method of gathering strangers, capital, and shared conviction around a protocol stayed behind.
The second is DeFi Summer, especially June to September 2020. She says this phase mattered because users began treating crypto assets as working financial tools rather than passive chips. Borrowing, collateralized loans, liquidity mining, market making, recursive leverage, and governance became normal behavior. That habit outlived the original rally and carried forward into later TVL races, Layer 2 incentives, and airdrop farming structures. By contrast, clone farms and short-term incentive games that disappeared as fast as they arrived did not create a new behavioral base.
The third example is the NFT cycle from early 2021 to mid-2022. She argues that NFTs rewrote the market’s social script. Profile pictures became identity markers. Wallets became access cards. Ownership stopped being only financial and became cultural. Many copycat collections, wash-trading venues, and celebrity projects faded, but the habits tied to digital ownership, community access, and internet-native status did not vanish with them.
Her advice: survive first, chase narratives later
The latter part of the essay does not offer a shortcut formula. She rejects the idea that any fixed playbook can be carried from one cycle into the next. Each cycle, she writes, is a new coordination game. The practical task is to build a framework that improves reaction speed when a real shift appears, not to hunt for a guaranteed “1000x” script.
Her first recommendation is to become an on-chain investigator. That means learning to read wallet history, token distribution, bundled trades, funding sources, exchange inflows and outflows, unlock schedules, open interest, funding rates, and order-book depth. She also points to risks tied to MEV, sandwich attacks, fake volume, wash trading, anti-sybil systems, and low-float, high-FDV structures. She adds that many market participants now build their own tools to filter noise, track unusual data, and process information faster.
Her second recommendation is less technical and more social. High-quality information, she says, is rarely public while it still carries first-hand edge. By the time a project becomes a loud topic across mainstream crypto feeds, the strongest information advantage is usually gone. For that reason, she argues that relationships and direct contact with active market participants matter as much as formal research.
The essay does not end with token picks or trading calls. Its recurring message stays narrow and severe: avoid the trap of fast-money thinking. In her framework, sharp price moves are lagging signals. The earlier clue is whether user behavior and collective coordination have already started to change.