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Hassan Cryptoo
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You don't trade the chart, you trade your psychology reflected in the chart
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ရှင်းလင်းချက်- ပြင်ပအဖွဲ့အစည်း၏ ထင်မြင်ယူဆချက်များ ပါဝင်သည်။ ဘဏ္ဍာရေးဆိုင်ရာ အကြံပေးခြင်း မဟုတ်ပါ။ စပွန်ဆာပေးထားသော အကြောင်းအရာများ ပါဝင်နိုင်ပါသည်။
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⚡️ ခရစ်တိုဆိုင်ရာ နောက်ဆုံးပေါ် ဆွေးနွေးမှုများတွင် ပါဝင်ပါ
💬 သင်အနှစ်သက်ဆုံး ဖန်တီးသူများနှင့် အပြန်အလှန် ဆက်သွယ်ပါ
👍 သင့်ကို စိတ်ဝင်စားစေမည့် အကြောင်းအရာများကို ဖတ်ရှုလိုက်ပါ
အီးမေးလ် / ဖုန်းနံပါတ်
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Hassan Cryptoo
@HassanCryptoo
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ဖန်တီးသူထံမှ ပိုမိုလေ့လာပါ
WHY IS APRO | $AT AI ORACLE DIFFERENTIATED FOR HANDLING REAL WORLD DATA IN AI AGENTS AND PREDICTION MARKETS? I have been thoroughly looking into how Oracles are progressing beyond simple price feeds, especially for complex use cases like AI agents. What stands out about APRO's approach, as detailed in their documentation, is not just a single feature but how its architecture seems built for the messy, real time demands of modern applications. Most oracles deliver data one way. APRO's system uses two distinct methods, which is more interesting than it sounds. Their 'Data Push' model works like a scheduled update, automatically sending information when certain conditions are met. This is efficient for maintaining a constant state, like a prediction market's underlying odds. The 'Data Pull' model, in contrast, is for on demand requests. It is what an autonomous AI agent would use to get a fresh piece of data the instant it needs to make a decision. This flexibility means the network is not forcefully sending all data into one slow or expensive pipeline. The real differentiation likely comes from its hybrid design, which splits work between off-chain and on-chain processes. Complex computations, like checking the data sources and verifying, the outcome of a real world event for a prediction market or filtering data for an AI, can happen efficiently off-chain. The final, crucial result is then secured on-chain. This is not just about speed, it is about making sophisticated data verification practical and affordable. Their framework's focus on custom computation logic and supporting diverse data types, what appears significant is that they are building a system for processing information, not just relaying it. For AI agents that need to reason with real world data, this shift from a simple data pipe to a verifiable compute layer is quietly essential. The conclusion here is not about being the fastest oracle, but about being a more capable one for applications where the data itself is not straightforward. by Hassan Cryptoo @APRO Oracle I #APRO I $AT
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WHAT IS THE STRATEGIC ROLE OF THE $FF TOKEN IN FALCON FINANCE GROWTH AND COMMUNITY?
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💭 Thought of the day "Everyone sees a crash but a few see the opportunity" #ThoughtsOnWealth #ThoughtByHassanCryptoo #HassanCryptoo
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Dear #BINANCIANS! Here are the top Losers of today in which LIGHT is leading the top losers on Binance Futures surged by -80% so far Heavy selling is hitting several tokens hard. Here are the top 3 losers today by far: => $LIGHT -80.95% Volume: 1.20B USDT It faced a huge selling pressure after a huge pumped => $IR -27.23% Volume: 69.87M USDT New listed coin on Binance Futures, selling pressure => $RAVE -26.41% Volume: 828.80M USDT A new coin listed recently dumped hard. => What these signals: When multiple coins dump like this high volume, it shows the weak market activity. Traders, Keep these coins on your watchlist. Manage your risk and plan trade accordingly. by Hassan Cryptoo #LoseroftheDay #AnalysisByHassanCryptoo #HassanCryptoo
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WHAT ARE THE KEY HIGHLIGHTS FROM APRO WEEKLY UPDATE ON OAAS, BLOCKCHAIN INTEGRATIONS & DATA METRICS?
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Hong Kong Police Arrest 15 in Connection with Cryptocurrency Robbery
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BlackRock's Bitcoin ETF Among Top Investment Themes for 2025
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Dragonfly Capital's Rob Hadick Joins CFTC's Digital Asset Advisory Group
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IMF Continues Discussions on El Salvador's Bitcoin Project and Chivo Wallet Sale
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BlackRock Increases Holdings in Bitcoin and Ethereum
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