Daniel Amah
@danny_4reel
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Blockchain Data Analyst 🧑💻 || Member @TheNirvanAcad || An Explorer in this journey of life
Path to Greatness
Joined October 2020
For so long, web3 protocols have measured growth from surface level metrics like TVL and transaction counts . @flipsidecrypto proposes a better way, the IDG framework and I adopted it to study @NEARProtocol. Here's what I found 👇
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RT @danny_4reel: I've been sharpening my data analytics skill with Python and was recently asked a question . "Do spikes in whale activity….
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5k+ downloads in 4 days.Outdoor Survival Szn! 🙂↔️
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RT @StepFinance_: Today we announced the launch of Step Wallet!. So what are some of the features? . Let's do a full breakdown 🧵👇 https://t….
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RT @StepFinance_: THE LAUNCH ANNOUNCEMENT IS HERE . Introducing Step Wallet: The easiest place to earn on Solana. Step Wallet expands the S….
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Check the full project here.
github.com
Contribute to Dannyamah/Large-ETH-Transfers-vs-Price development by creating an account on GitHub.
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I made the visualizations using matplotlib and seaborn and I'm currently putting out an article explaining the thought process and steps that went into this analysis. Shout out to @AnalyticSages, @apostleoffin, @Bhami628 for the knowledge so far.
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However, the number of transactions and whales were highly correlated with each other but only weakly linked to price changes. As anticipated, no significant connection was found between large on-chain Ethereum transfers and price movements.
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I gathered Ethereum price data from @coingecko Public API and whale transfer stats from @Dune, then merged and analyzed them with Pandas . The result showed a moderate negative correlation between large transfers and price. Big transfers often happened on days where price dropped
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I've been sharpening my data analytics skill with Python and was recently asked a question . "Do spikes in whale activity correlate with significant price movements?". Using Python, I analyzed the relationship between large Ethereum on-chain transfers and price movements 👇
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RT @_christian_obi: what type of whale transaction affect native tokens price?. Do all whale OTC transaction impact immediate price and wha….
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RT @oladeeayo: As promised, here is the video explainer on getting real-time token price data through dexscreener API on Dune. All necessa….
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RT @StepFinance_: Now is the season for ITM Step Reward Options!. - Swap on Step (0% swap fees).- Get airdropped free call options to buy c….
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RT @Kruys_Collins: Berkshire Hathaway built its empire on one simple idea:. "Use insurance float to earn stable, compounding returns". It’….
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One standout product proving Real Market Fit lately has been NEAR Intents! 🔥. Major ecosystems including BNB, Solana, TON, Infinex, and most recently SUI Network have adopted NEAR Intents as a streamlined solution for cross-chain swaps and OTC trading, so I expect that adoption
Crypto now has billions of dollars in application revenue! Proving Product Market Fit 🔥. Notable examples include: AAVE, HYPE, JUP, RAY, ORCA & DEEP!. Powering it all depends on scalable L1s like SOL, SUI, NEAR & APT!. Crypto has truly arrived, so choose your champions wisely ⚖️.
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RT @AnalyticSages: 📢 Finally time for the third part of the series. BEYOND THE QUERY. This time with the title:. "Beyond Descriptive: Diagn….
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RT @StepFinance_: One Dashboard. All Your Wallets. From Anywhere. Step Dashboard V3 offers not only MULTI WALLET TRACKING, but also User….
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RT @danny_4reel: With NEAR Intents, every wallet effectively functions as its own decentralized exchange. Intents eliminate the need for br….
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RT @StepFinance_: Last month 20M STEP (~5.7% Total Supply) was burned from the Step fee wallet (@StepBuyAlerts). Regular buybacks still con….
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With NEAR Intents, every wallet effectively functions as its own decentralized exchange. Intents eliminate the need for bridging between networks and handle the complexities of interacting with multiple blockchains. Intents on top!
what's so special about NEAR intents?. it enables fast native asset swaps of over 100 assets across blockchains, with no fees and a fully permissionless experience.
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