Breaking into crypto's inner circles seems impossible from the outside. The group chats are private. The alpha is gated. The relationships were formed years ago. FoobiusV, a trader who started in 2017 and has navigated multiple cycles, explains how he built his network from nothing and developed the discipline to survive repeated blowups through methodical position sizing.
Foobius first encountered crypto in 2017 when a friend recommended Coinbase and called Bitcoin "the future of money." Like many early entrants, he bought the top and watched his investment bleed.
"I had a few hundred thousand bucks or something that I chucked into it. Obviously bought the top," he recalls. Rather than panic selling, he held on to what remained, reasoning there was nothing productive to do with dust.
The 2020 cycle brought more engagement. Understanding the four-year pattern, he bought altcoins before the boom and ran a few thousand into low six figures onchain. Then came the mania phase: NFTs, AVAX plays like Snow Dog, and eventually giving back everything he had made.
"I was DCAing the dip during the bare market and kind of was like, all right, I'm going to take a step back."
This stepping back is something he now regrets. He believes trading through bear markets develops skills that prove invaluable when conditions improve.
Foobius returned in 2023 around the time Pepe emerged. His entry was perfectly timed by accident.
"My first trade back was Pepe. I took the dust that I had in that MetaMask wallet which was probably a thousand bucks. Stuck it in there and that turned into 40, 50 grand."
Several factors made this trade work:
Ignorance as Asset: Not knowing twenty previous Pepes had failed made him willing to believe this one was special.
Fresh Perspective: Without baggage from failed trades, he had no predetermined ceiling for how high it could go.
Appropriate Sizing: The dust amount meant he was comfortable losing it entirely, removing emotional pressure.
External Signal Recognition: He recognized Binance listing as a peak attention moment and sold into those candles.
Foobius credits much of his subsequent success to relationships developed through Friend.tech, the now-defunct social trading platform.
His approach was simple: get into rooms with better traders, absorb their thinking, and build genuine relationships.
"What really helped me there was what I didn't know. Stepping away for some time and not being a participant in onchain led me to think this was a novel coin."
For current traders without Friend.tech's easy access, he recommends:
Perform Well on fomo: The app serves as an onchain resume. Good P&Ls and early entries to winning trades attract attention.
Cold DM Aggressively: Reach out to traders you respect with specific value. "Hey, this coin's sweet. Here's why I think it's sweet. It's at 100K." Eventually hits build credibility.
Join Public Communities: Discord servers, paid groups, anywhere you can demonstrate competence through consistent good takes.
Help Others Make Money: Nothing builds relationships faster than being the person who brings profitable opportunities.
"I know so many guys who built their network on the back of cold DMs and chills to people who have motion," Foobius notes.
Foobius considers position sizing the "last demon you have to slay" - the hardest skill to master but the most determinative of long-term success.
His framework borrows from sports betting's unit system:
Base Unit: A standard bet size representing normal conviction (example: $500 on a $10K portfolio)
Max Conviction: 2-3x the base unit for highest-conviction plays (example: $1,000-1,500)
Percentage Terms: 5-15% of portfolio per position, arguably even that is aggressive
This gives traders room to be wrong repeatedly. A trader betting 5% units can lose eight times in a row before catastrophic damage. Someone going all-in on "sure things" gets one mistake.
"Most traders that have success, especially over long periods, they're betting in units," he observes. "Perps guys mostly trade this way too."
Foobius identifies position counts as a leading indicator of his own performance:
Optimal: 2-4 positions, thinking clearly, trading well
Warning Sign: 10+ positions, usually in frothy conditions, signaling time to derisk
"When all of a sudden I catch myself in 10 coins or even more, it's a signal for me to take risk off the table."
The pattern is predictable: markets heat up, chats buzz with opportunities, notifications pile up, and suddenly you are scattered across too many positions to manage properly. Recognizing this clustering as a contrarian signal has repeatedly saved him from overstaying heated conditions.
When asked about his primary edge, Foobius points to narrative identification:
"My biggest trades have kind of been built on the back of just having good taste. You have to be plugged into the internet. You have to understand what the audience that we call our cohorts likes."
His criteria for narrative evaluation:
Novelty: Is this something we have not seen before? GOAT (first AI Twitter account coin), Unibot (first trading terminal token), and similar firsts have the highest potential.
Mainstream Escape Potential: Can this capture attention outside crypto? Tokens confined to CT have limited ceilings.
Simple Story: Can you explain why this should go up in one sentence? Complexity rarely works in memecoins.
Favorable Environment: Even perfect tokens fizzle in bear conditions. The same coin launching in different market environments will have radically different outcomes.
Foobius warns about mistaking manufactured price action for organic demand.
On recent runners like White Whale and Penguin: "They are truly at the whim of a small subset of very rich people that could probably push them as high or as low as they want."
His recommendation: learn to distinguish organic buying from coordinated accumulation. A coin running because a perp trader bought 50% of supply price-agnostically offers different risk/reward than one running on genuine retail enthusiasm.
The Binance-connected wallet owning nearly 20% of Penguin is the kind of signal that, spotted early, offers edge. Spotted late, it means holding bags when the push ends.
Foobius offers a modern recommendation for learning: use AI assistants.
"If you're interested in this or literally anything at this point, an LLM is your best friend. Go into ChatGPT or Gemini or Claude, tell it you want to learn how to better read the chain and track wallets and flows and it will literally hold your hand."
While AI will not replace experience, it can dramatically accelerate the learning curve for technical skills like chain analysis.
Asked for rules he always follows or always fades, Foobius pushes back on the framing itself:
"Flexibility is the name of the game. There really isn't something that you should never do or something you should always do."
Apart from fundamental errors like oversizing or trading on tilt, most "rules" have exceptions. The skill is recognizing when this time actually is different versus when it is not.
"Usually it's not, but sometimes it is. And when it is, those are when the opportunity is the most asymmetric."
While resisting absolute rules, Foobius does maintain a list of traders whose actions serve as contrarian signals.
"Having a list of counters is probably just as if not more powerful than having a list of people whose opinion you really value."
The logic: most traders lose. If you identify consistent losers, their actions become tradeable information. The key is sample size - apparent counters might just be on cold streaks - so the signal requires extended observation.
If he lost everything tomorrow, Foobius's rebuilding plan would be:
"I don't think there's a magic bullet. It's just like avoid, forget that number, wipe it from your head. Get back to basics."
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