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#ICP/USDT TYPE LONG EBTRY : 17.6$ / 17.9$ LEVERAGE : 8x TAKE Trade according your capital low margin 10$ or 20$ TAKE PROFIT 🏆         1 = 18.15         2 = 18.30         3 = 18.50 4 = 18.70 5 = 18.90 6 = 19.40 (Or above) 𝗦𝗧𝗢𝗣𝗟𝗢𝗦𝗦 = 16.9 #ICP #FreeSignals #HotTrends #Write2Earn

#ICP/USDT

TYPE LONG

EBTRY : 17.6$ / 17.9$

LEVERAGE : 8x

TAKE Trade according your capital low margin 10$ or 20$

TAKE PROFIT 🏆

        1 = 18.15

        2 = 18.30

        3 = 18.50

4 = 18.70

5 = 18.90

6 = 19.40

(Or above)

𝗦𝗧𝗢𝗣𝗟𝗢𝗦𝗦 = 16.9

#ICP #FreeSignals #HotTrends #Write2Earn

إخلاء المسؤولية: تتضمن آراء أطراف خارجية. وهذه ليست نصيحةً مالية. اطلع على الشروط والأحكام.
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Here is a project outline for a Renzo Binance price prediction project: *Project Title:* Renzo Binance Price Predictor *Objective:* Develop a machine learning model to predict the future prices of Renzo (REN) on Binance, using historical data and technical indicators. *Scope:* - Collect and preprocess historical data on Renzo prices and technical indicators (e.g., moving averages, RSI, Bollinger Bands) - Develop and train a machine learning model (e.g., LSTM, Random Forest) to predict future prices - Evaluate the model's performance using metrics (e.g., mean absolute error, mean squared error) - Deploy the model as a web application or API for users to input parameters and receive predictions *Data Collection:* - Sources: Binance API, CoinMarketCap, or other cryptocurrency data APIs - Historical data: Renzo prices, trading volumes, technical indicators (e.g., 1-year worth of data) - Features: extract relevant features from data (e.g., moving averages, RSI, Bollinger Bands) *Machine Learning Model:* - Type: LSTM (Long Short-Term Memory) or Random Forest - Input features: extracted features from historical data - Output: predicted future price - Training: split data into training and testing sets (e.g., 80% for training, 20% for testing) *Evaluation Metrics:* - Mean Absolute Error (MAE) - Mean Squared Error (MSE) - Root Mean Squared Percentage Error (RMSPE) *Deployment:* - Web application: user inputs parameters (e.g., time frame, technical indicators), receives predicted price - API: returns predicted price for given parameters *Technical Requirements:* - Programming languages: Python, JavaScript - Libraries: Pandas, NumPy, scikit-learn, TensorFlow (for LSTM), Binance API library - Data storage: CSV or database (e.g., MySQL) *Future Development:* - Incorporate additional features (e.g., sentiment analysis, news events) - Expand to predict prices for multiple cryptocurrencies - Implement real-time data updates and predictions #CryptoWatchMay2024 #RENZOLAUNCHPOOL
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🔥 New Blockchain-AI smart contracts on ICP might boost recovery Internet Computer (ICP) recently made a few developments showcasing its first Blockchain AI smart contracts implementation.The DFINITY-powered blockchain network marked a key milestone in integrating Blockchain and artificial intelligence. This is an initiative towards the ambitious goal of the protocol to develop a system for the world of Blockchain. More announcements will likely follow with the ICP smart contracts to access SMID or single instruction multiple data instructions.The upgrade will significantly boost the efficiency and speed of the network, potentially facilitate a transition from the 32-bit environment to a more secure 64-bit system, and expand the memory limits of the smart contracts. The integration of AI and Blockchain across different sectors will be pioneered by the efforts of Internet Computers. It will extend beyond these advanced technologies into other fields like education, security, health, and sports. The broad adoption of AI and Blockchain will emphasize the revolutionary potential of AI in various industries. ICP is experiencing high market volatility. The value of the token has declined over the past 30 days by more than 23%, with a decline of 13% in the last week and a 3.5% fall in the last 24 hours. Additionally,ICP market capitalization stands at over $6.2 billion while gaining over 28% in volume in the last 24 hours, trading slightly above the $124 million mark. Considering the setbacks, the ICP price movement still shows a rising trend line, constantly testing the crucial resistance and support levels. Considering the weekly timeframe, the current bearish momentum brought ICP’s potential to test the support level candle’s bearish closure last week with a bearish market sentiment observed in the weekly candle. Considering the daily timeframe, the price of ICP has been bearish, reaching $13.23 according to our ICP price prediction. However, it received support with a rising trend line at the $11 mark while rebounding to $16. #ScamRiskWarning #ICP/USTD $ICP
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