Okada_Research
@Okada_DeFi0x • 23,723 subscribers
Degen mode ON | Researcher & deep diver in DeFi | Hunting alpha in memecoins and Low - Mid Cap I @Virtuals_io Maxi I TG: https://t.co/OikRRmglSG
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One of the easiest ways to misread crypto rotation is seeing a sector pump and assuming fresh capital is moving in. Sometimes 1-2 tokens are doing most of the work, while the rest of the sector is still lagging. I wanted a better way to separate real rotation from short-term price noise, so I built a Market Rotation Tracker using CoinGecko API. Instead of only looking at raw price + volume, the tracker checks several layers: – relative strength vs $ETH across 24H / 7D / 30D – breadth = % of tokens inside each sector outperforming $ETH – sector movement across Leading / Improving / Weakening / Lagging – DEX buy/sell flow + holder growth to see whether onchain activity supports the move – historical logs for quadrant flips, breadth jumps and volume surges – top performers inside each sector to see which tokens are actually leading the move I also added direct links from each sector in the leaderboard to the relevant CoinGecko category page. So if a sector starts improving, I can 1-click into it, check the full token list and see which names are outperforming. That makes the workflow much more useful. If AI starts moving again, I don’t only want to know that AI is green. I want to know: – are most AI tokens outperforming $ETH – is sector breadth expanding – which tokens are leading the move – is DEX flow showing real buy pressure – are holder numbers improving – is the sector moving from Improving into Leading, or is it just a short-term spike If several of these improve together, that gives me much more context than price alone. Right now I’m mainly using it to track AI, RWA, DeFi and Privacy, especially when rotation starts moving faster across sectors. CoinGecko API provides the market + onchain data, while the relative strength, breadth, quadrant mapping and rotation logic are calculated by my own framework. The tracker runs automatically through a Python backend + GitHub Actions and refreshes every hour. I’m still tuning some thresholds as more data comes in, so I use this as a research tool rather than a buy/sell signal. You can check it here: – Live dashboard: – CoinGecko API: The useful part isn’t finding the sector that already pumped. It’s spotting where strength is starting to build before the rotation becomes obvious.
Okada_Research10,801 görüntüleme • 2 gün önce
![$VEX | Project:VEX dumped tokens and extracted nearly $1.5M from users 👇👇 I’m pretty busy and tbh I didn’t really want to get involved in this drama, but the $VEX founder has asked me many times for proof that tokens were being sold. So I went back onchain and checked how these transactions actually work. [1] Why you can’t find the sell txs from the From wallet With a normal wallet, the flow is simple: EOA wallet → DEX → sell, so checking the From address usually shows the trading history directly. But some of the $VEX wallets I checked use a different setup, where the address shown in From is only a Bundler. The actual transaction can be executed through a Smart Account behind it, which means the visible From wallet may show almost no $VEX buy/sell history. Think of it like this: Bundler = delivery driver, Smart Account = the person deciding where the package goes. [2] How Smart Accounts work A normal EOA wallet works like: Private key → Wallet → DEX A Smart Account setup can look more like: Owner key / passkey / multisig → Smart Contract Wallet → Execution contract → DEX / bridge / app So if you only check the visible From wallet, you are only seeing the outer layer of the transaction. The real token movement can happen behind it through Smart Accounts, execution contracts and liquidity pools. [3] This is what I found when tracing $VEX Instead of stopping at the From address, I checked ERC-20 Transfer logs, Approval logs, Smart Accounts, Bundlers, execution contracts and liquidity pools. Once you follow the full path, the $VEX sell activity is there: token leaves the Smart Account, part goes to fees, and the rest gets routed into liquidity pools and swapped into other assets. So when someone says “show me the wallet selling $VEX,” checking only the Bundler wallet is basically useless. You need to trace the entire execution path. [4] Then I checked the top PnL wallets I quick checked around 100 of the highest PnL wallets around $VEX, and many of them show similar behavior. They were active around $VEX from very early on, traded continuously, used Bundler/Smart Account execution and ended up with very high PnL. From my quick calculation, the combined PnL of the wallets I checked is already close to $1.5M. That is a lot of money extracted from the market while users were still buying and holding $VEX. I’m still tracing these wallets one by one, so I’m not saying every address is already confirmed to belong to the team/MM. But the sell activity itself is onchain. [5] And don’t forget the 1% transaction fee $VEX also charges around 1% transaction fee, and with the volume the token generated, the fee side alone could be worth around $2M based on my estimate. So potentially we are looking at around $1.5M PnL from these wallets + around $2M from transaction fees. If the team thinks my wallet analysis is wrong, the answer is simple: public the team wallets, MM wallets, treasury wallets and fee wallets. Then everyone can compare them directly onchain. Send this sh*t to 0.](https://image.24vids.com/tw-2103130254151991540/amplify_video_thumb/2103130176511184896/img/_PDgOdFYuPqIYn1F.jpg)
$VEX | Project:VEX dumped tokens and extracted nearly $1.5M from users 👇👇 I’m pretty busy and tbh I didn’t really want to get involved in this drama, but the $VEX founder has asked me many times for proof that tokens were being sold. So I went back onchain and checked how these transactions actually work. [1] Why you can’t find the sell txs from the From wallet With a normal wallet, the flow is simple: EOA wallet → DEX → sell, so checking the From address usually shows the trading history directly. But some of the $VEX wallets I checked use a different setup, where the address shown in From is only a Bundler. The actual transaction can be executed through a Smart Account behind it, which means the visible From wallet may show almost no $VEX buy/sell history. Think of it like this: Bundler = delivery driver, Smart Account = the person deciding where the package goes. [2] How Smart Accounts work A normal EOA wallet works like: Private key → Wallet → DEX A Smart Account setup can look more like: Owner key / passkey / multisig → Smart Contract Wallet → Execution contract → DEX / bridge / app So if you only check the visible From wallet, you are only seeing the outer layer of the transaction. The real token movement can happen behind it through Smart Accounts, execution contracts and liquidity pools. [3] This is what I found when tracing $VEX Instead of stopping at the From address, I checked ERC-20 Transfer logs, Approval logs, Smart Accounts, Bundlers, execution contracts and liquidity pools. Once you follow the full path, the $VEX sell activity is there: token leaves the Smart Account, part goes to fees, and the rest gets routed into liquidity pools and swapped into other assets. So when someone says “show me the wallet selling $VEX,” checking only the Bundler wallet is basically useless. You need to trace the entire execution path. [4] Then I checked the top PnL wallets I quick checked around 100 of the highest PnL wallets around $VEX, and many of them show similar behavior. They were active around $VEX from very early on, traded continuously, used Bundler/Smart Account execution and ended up with very high PnL. From my quick calculation, the combined PnL of the wallets I checked is already close to $1.5M. That is a lot of money extracted from the market while users were still buying and holding $VEX. I’m still tracing these wallets one by one, so I’m not saying every address is already confirmed to belong to the team/MM. But the sell activity itself is onchain. [5] And don’t forget the 1% transaction fee $VEX also charges around 1% transaction fee, and with the volume the token generated, the fee side alone could be worth around $2M based on my estimate. So potentially we are looking at around $1.5M PnL from these wallets + around $2M from transaction fees. If the team thinks my wallet analysis is wrong, the answer is simple: public the team wallets, MM wallets, treasury wallets and fee wallets. Then everyone can compare them directly onchain. Send this sh*t to 0.
Okada_Research18,972 görüntüleme • 16 gün önce
Someone asked me yesterday about the NEAR Protocol ecosystem, so I went through a much broader set of projects currently building there. $NEAR has already had a strong move this year, but I think the next opportunity depends on whether liquidity starts rotating deeper into the ecosystem. I’m currently looking at NEAR through 4 main buckets: – Cross-chain / Intents – DeFi liquidity – Trading + launchpads – AI + data The most important piece is still NEAR Intents. NEAR is pushing chain abstraction quite aggressively, making it easier for users to move and trade assets across multiple chains without manually bridging through several steps. That creates a pretty clear flow into the protocols underneath. DeFi side: – Rhea Finance | solana:8SMMso8Muv8d6i4WmMDthKt6TN1ysN6937sx3DKLXZqB – Aurora | ethereum:0xaaaaaa20d9e0e2461697782ef11675f668207961 – NearFi | $NEARFI Rhea is still the liquidity hub I’m watching the closest since DEX, lending and Intents-driven liquidity all converge there. Aurora plays a different role as an EVM gateway, allowing Ethereum users/devs to enter NEAR through familiar tooling like Solidity and MetaMask. NearFi is more focused on trading and onchain execution. The more speculative side is the launchpad layer: – NEARLY | $NEARLY – Shards | $SHARDS – Umbra | solana:PRVT6TB7uss3FrUd2D9xs2zqDBsa3GbMJMwCQsgmeta – nearpad | $NEARFI – NeaRRR | $RRR – Neara – MEME.COOKING The mechanics are quite different across them. Nearly sends launches directly into Rhea liquidity. Shards and NEARRR use bonding curves before graduating into pools. Umbra also connects launches back into Rhea, while uses an auction-based model instead of the standard bonding curve approach. :chatgpt-content-reference{index="1"} Some smaller tokens I’m also scanning: – NINU | $NINU – solana:FHqhvvLCVThubEjeT9kk4UaUNQSawvbWypCn6XM7dF7r – $RUST – $NIRA – $RRR These are obviously much higher risk, so I’m paying more attention to volume, liquidity and user growth than just MC. Wallet + trading infra is also becoming more complete: – HOT Protocol 🔥 – Meteor Wallet – INTEAR 💦 For charts and analytics, DexScreener, GeckoTerminal and native NEAR terminals cover most of what I need. Outside pure DeFi/meme flow, I also have PublicAI | $PUBLIC on the radar. PublicAI sits in the AI + human data narrative, which fits pretty well with the broader AI direction NEAR is pushing. So my current map is basically: $NEAR → base liquidity Intents → cross-chain flow solana:8SMMso8Muv8d6i4WmMDthKt6TN1ysN6937sx3DKLXZqB → DeFi liquidity ethereum:0xaaaaaa20d9e0e2461697782ef11675f668207961 → EVM access NearFi → trading Nearly / Shards / Umbra / NEARRR → launchpad flow $PUBLIC → AI/data Personally, I’ll focus the most on solana:8SMMso8Muv8d6i4WmMDthKt6TN1ysN6937sx3DKLXZqB, ethereum:0xaaaaaa20d9e0e2461697782ef11675f668207961 and the low-cap launchpad layer. If liquidity starts rotating from $NEAR into the ecosystem, these are the areas I expect to react first.
Okada_Research10,795 görüntüleme • 8 gün önce
Daha fazla içerik yok.