XPL (Plasma): Twitter Noise vs On-Chain Data - What Do You Trust More? I spent the last few hours analyzing $XPL, the Plasma blockchain token that launched 6 days ago (as of October 1, 2025). This post isn't a bottom or top signal, or a buy or sell recommendation. It's a case study on what happened on-chain and what to look out for next time, when evaluating token launches. Before we dive in: there's a lot of chatter and noise about $XPL. Ex-Blast team. Paolo only invested $50K. 800M tokens sold by team. Valuation doesn't match fundamentals. And so on. You've probably heard it all. But here is the thing: I don't care if any of that is true. Most of this information can't be verified in the first place. And even if it could, the narrative itself already shapes market sentiment regardless of facts. The real information doesn't live on Twitter. It belongs to insiders, whales, and funds. And that is what blockchain makes beautiful: we don't need to know what insiders know. We can track what they actually DO. Actions speak louder than tweets. So I pulled the on-chain data to see what "informed" money was doing the last week 👇 1⃣ The setup and the correction Plasma launched September 25th at $0.90 with strong backing: Tether, Bitfinex, Peter Thiel. The token pumped to $1.66 within 48 hours ( 84% gain), then declined 47% to $0.90 over the next 4 days. Here's an interesting pattern: volume didn't collapse after the dump. It collapsed DURING it. From $63.5M in the first 6 hours, then down to $8-10M within days while price was still falling, based on data from @nansen_ai. When volume dies while price is falling, this suggests distribution rather than healthy consolidation IMO. 2⃣ The data worth tracking I pulled the top 20 most profitable $XPL traders over 7 days to see their current positions. 17 out of 20 traders (85%) now hold zero $XPL: ➤ Trader #2: Made $233K profit (56% ROI) ➤ Trader #3: Made $227K profit (60% ROI) ➤ Trader #4: Made $161K profit (29% ROI) ➤ Trader #5: Made $118K profit (46% ROI) Only the top wallet still holds a meaningful position of $1.9M, holding 90%. Out of 20 top traders, just three remain with positions. A striking data point: Total smart money holdings across ALL tracked wallets is $27,000. Out of a $1.9 billion market cap, smart money collectively holds 0.0014%. 3⃣ The flow pattern Last 7 Days: ➤ Top PnL Traders: -$1.46M (consistent outflows) ➤ Public Figures: -$2M (coordinated exits) ➤ Whales: $1.15M (new convicion buys?) ➤ Smart Traders: $41K (minimal on this MC) ➤ Fresh Wallets: $6.32M (retail buying the dip?) Some whales kept bidding and can become new future PnL leaders or even become Smart Money. But this flow divergence, where experienced traders exiting while new participants enter at lower prices, is often a pattern worth recognizing for future token launches. You want to keep Top PnL, Smart Money and even funds onboard and holding, because they determine what price action will do. Study $TIBBIR if you want an example. 4⃣ Other considerations ➤ Centralization: 74% of circulating supply held by top 3 CEX wallets (Binance 43%, Ceffu 24%, MEXC 6%). Very high and not sure what's up here. ➤ Liquidity: $1.9B market cap with only $1.8M DEX liquidity. That's a 0.09% liquidity ratio. Industry standard is >1%. 5⃣ What all the info might suggest The on-chain behavior suggests smart money treated $XPL as a short-term trade. They entered at launch, captured the pump to $1.66, and exited as volume declined. The 85% exit rate among top performers is notable. The product fundamentals have merit though: zero-fee stablecoin transfers, strong backing from Tether and Bitfinex, $4B TVL within 6 days (8th largest by stablecoin liquidity). But token performance and protocol success don't always correlate, especially when early investors are up 20x and taking profits, like you and I would do too. 6⃣ What to track next time This analysis is about recognizing patterns: ➤ Volume trends - Does volume die during dumps? (XPL: Yes, 63M → 10M) ➤ Top trader behavior - Are they holding or exiting? (XPL: 85% exited) ➤ Fresh wallet timing - Early or late entry? (XPL: Late, after -47%) ➤ Flow divergence - Smart money vs retail? (XPL: Clear split) ➤ Liquidity depth - Does it match market cap? (XPL: No, 0.09% ratio) ➤ Unlock schedules - What's coming? (XPL: 1.67B token cliff in Sept 2026) These metrics are trackable in real-time with @nansen_ai and help inform decisions before narratives solidify. More importantly, set-up custom alerts when one of these stats is visible on-chain, or when smart money enters. 7⃣ Final takeaway Personally, I see both sides. $XPL has strong fundamentals and we're entering Q4 of a bull market. They have the narrative too. Charts can bottom out and reverse, especially if on-chain data suddenly shows the exact opposite as what happened during the dump. But here's what the data shows for now: smart money treated this as a trade, not a hold. 85% exited with profits. Fresh wallets are buying what they sold, although whales look convinced. Still, the pattern looks like textbook distribution to me, at least for now. So you have two choices for $XPL: 1. Bet on the narrative / Q4 and hope smart money was wrong 2. Wait for confirmation they're returning before entering Neither is right or wrong. Just know which side you're on. For me, this wasn't about $XPL in the first place. It's always about learning what happens onchain, and improving my skills and experience. The data is there. What you do with it, now and in the future, is your call.

Looked into my $CARDS post again which hit a 350% gain after 5 months when I first posted the setup Kind of impressive performance for a relatively large altcoin during current market conditions $CARDS was the perfect combo of onchain traction chart / TA Tokenomics PMF

And people wonder what’s wrong with the crypto market and why it’s decoupling from everything else. $LAB just showcased how “mature” this market really is. It will be a long time before we see true inflows from TradFi, boomers and retail. And I don’t blame them at all.

$BTC RSI hit 15 on the 1H chart and selling became a bit exaggerated IMO, while SPX smashed through its ATH again. Closed the short and waiting for a decent bounce on 66k and 60k levels to evaluate the crypto market again.

bitcoin:native touched the 200 MA 5 times and lost its upward channel. Downtrend confirmed. Short is running. Closing at $66k or RSI 22. Also watching $HYPE and $TIBBIR. Both showing strength and interesting chart patterns while bitcoin:native drops.

1929. 1999. 2026. The Shiller PE flagged every bubble. Crypto wasn't around for the first two. It is now. The Shiller PE ratio measures how expensive the S&P 500 is relative to 10 years of actual earnings, adjusted for inflation. And right now it's telling a pretty uncomfortable story. - In 1929, before the Great Depression, it hit 32.5. - In 1999, at the peak of the dot-com bubble, it hit 44.25. - Today in 2026? We're sitting at 42.18. Only once in 154 years of data has this ratio been higher than where we are right now. That was 1999. We know how that ended. Meanwhile stocks keep hitting new ATHs, driven entirely by AI hype. Bond yields are at multi-year highs, pricing in inflation and a government that keeps borrowing with no end in sight. For the first time in 15 years, the S&P 500 earnings yield sits below the risk-free 10Y Treasury. You are literally being paid more to own government bonds than stocks. And crypto? Completely broken since October 2025, massively underperforming while everything else rallied. So I keep coming back to the same question: How much upside do you think is left for crypto when the Shiller PE sits at 42? And when stocks come down, do you really think crypto goes the other way?

This should have been the real $1M article winner. The depth and level of research are exceptional. I’ve said it many times: $TIBBIR is the ultimate on-chain case study to learn from because of its structural strength. This article shows exactly why.

You know why I spend days learning onchain patterns and tracking alpha wallets? Because this is how you can catch 470x runners, like $PENGUIN, which was signaled on my discord server. Here’s what happened: - $PENGUIN was first flagged by one of the Tier 1 wallets I track at a $200k MC - After the initial signal, further onchain analysis confirmed my supply squeeze thesis was forming (top 100 wallets increasing, Exchange balances decreasing) - Additional smart money confirmation signals followed, with approximately $25k in inflows around a $1.1M MC, in case there was still any doubt - Still not convinced? The squeeze thesis peaked on extreme levels at Jan 23, and from there it was still a 20x Confirmation on top of confirmation, all tied together by onchain patterns, flows, and signals I have been studying for a long time. That initial Tier 1 wallet? I discovered it through manual research into similar squeeze plays and other runners. Fun fact: this wallet is not even classified as Smart Money by @nansen_ai. This is why true alpha comes from manual pattern research and understanding onchain trading behavior. I shared the wallet in my Telegram Group in case you were interested. CA: 8Jx8AAHj86wbQgUTjGuj6GTTL5Ps3cqxKRTvpaJApump

Speaking of platform accreditations, CEX distribution is one of the big ones since it unlocks liquidity, visibility and credibility at scale. And now, joining the list of top exchanges, $IN has officially listed on @krakenfx marking yet another major milestone. This further solidifies @Infinit_Labs’s position as a front-runner in the DeFAI sector, esp. when you consider its multi-surface distribution footprint: 1️⃣ @BinanceWallet integration → a seamless touchpoint into Binance’s 280M users & ~$30B liquidity. 2️⃣ @BitgetWallet @GateWeb3_HQ → combined access to 123M users across two of the fastest-growing Web3 wallets. This multi-dimensional distribution is something very few DeFAI protocols possess today. Layer this with product progression, and the trajectory becomes even clearer. With Prompt-to-DeFi now live, INFINIT is slowly evolving into the AI-native execution layer where ideas move directly into guided workflows with heavily abstracted onchain execution. If INFINIT maintains this rate of distribution product iteration, 2026 could easily be the year it cements itself as the default AI gateway for DeFi strategy-building imo.

The irony. Out of the many CEXes I’ve used over the past 8 years in crypto, @krakenfx is the only one I still use as of today. Out of 100 DeFi protocols I’ve used, INFINIT is in my top 3 daily-used protocols. And now strength meets strength. Kraken listed $IN. @Infinit_Labs is the only protocol that lets you automate advanced DeFi workflows that would normally require 15 manual transactions across 5 different protocols. This is what DeFi looks like when it’s powered by AI agents and real automation. Even if it doesn’t feel like it right now due to terrible market conditions, DeFi will win, and AI will prevail. Guess what protocol was early at the intersection where both of these worlds integrate. Excited for this, even in maximum fear market conditions.

Just read @MidCurveMortal’s post. Fascinating to see how many KOLs were already positioned in $ELIZATOWN before the 12× pump, right before Pow shilled it to 117K TG subs. This will likely come down as hard as it went up.

Received 6 alerts for $GAS in my Discord server at $800k MC, of which 3 are shown on the chart. The 3 most critical signals I keep to myself. The chart did a 54x. This is the same scenario as $WHITEWHALE, where a combination of signals and on-chain patterns resulted in a 750x when the token hit $200M MC. This approach is not about following a single signal. Anyone can track a wallet, an on-chain flow, or a large CEX transfer. A single signal or flow on its own is not enough. But when you combine different intelligence sources such as top-tier wallets, insiders, clusters, generic smart money inflows, volume-based signals, and other on-chain patterns, the dots start to connect. This game is about understanding the on-chain rules that shape the market we are playing in. When you respect these rules, build an on-chain framework around them, and act when required, a confluence of insights and signals increases conviction and justifies entries. The more we track and classify onchain data, the stronger the overall framework becomes. Over time, this leads to higher-quality data, more meaningful alerts, and better confirmation layered on top of our core approach, where I use @nansen_ai as the analytical tool to help me with this. Compounding onchain intelligence will be the result of it. This is what can be accomplished when you stop doom-scrolling your TL for alpha and put in the effort on-chain. Join my TG channel to learn how I do this, or join the waitlist for the private group. We will 10x the process and insights, together with 100 like-minded people who have already applied. As for $GAS, props to @Steve_Yegge for making this happen and bringing back back to this space. Curious to see whether $GAS becomes the next runner for @BagsApp and @finnbags. CA (for those who want to investigate): 7pskt3A1Zsjhngazam7vHWjWHnfgiRump916Xj7ABAGS