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Sector Daily Gain/Loss Table

Overview: The "Sector Daily Gain/Loss Table" is a custom TradingView indicator designed to display the daily percentage changes in selected cryptocurrency sectors. This indicator provides a comprehensive view of the performance of various cryptocurrencies organized into specific sectors, helping traders and analysts to make informed decisions based on sector performance.

Key Features:

Dynamic Data Retrieval: The indicator retrieves daily closing prices for multiple cryptocurrencies across different exchanges (Binance and Bybit) using the request.security function. This allows users to monitor real-time price movements.

Sectors Covered:

BTC Sector: Includes Bitcoin (BTC).
ETH Sector: Includes Ethereum (ETH).
RWA Sector: Comprises various assets such as OM, ONDO, POLYX, SNX, PENDLE, and HIFI.
L1/L2 Sector: Features major Layer 1 and Layer 2 solutions including ETH, BNB, SOL, XRP, TON, ADA, AVAX, DOT, SUI, APT, ICP, POL, and more.
MEME Sector: Showcases popular meme coins like DOGE, SHIB, PEPE, WIF, BONK, FLOKI, ORDI, BOME, and NEIRO, along with MEW and POPCAT from Bybit.
AI Sector: Highlights AI-related tokens such as TAO, FET, GRT, THETA, WLD, and TURBO.
DEFI Sector: Displays decentralized finance projects including UNI, AAVE, INJ, RUNE, MKR, JUP, LDO, PENDLE, CAKE, LUNA, RAY, OSMO, KAVA, and RSR.
Average Gain/Loss Calculations: For each sector, the indicator calculates the average percentage change in price based on the included cryptocurrencies, offering insights into sector-wide performance trends.

Table Display: The performance metrics are presented in a clean and organized table format on the TradingView chart, providing easy access to vital information for traders.

User-Friendly Design: The table is designed to be visually appealing and informative, with color coding and clear labeling for each sector and its corresponding percentage change.

Usage: Traders can utilize this indicator to quickly assess the performance of various cryptocurrency sectors and make informed trading decisions based on the daily changes in sector performance.
analysisCryptocurrencyperformancesectorstradingTrend AnalysisVolatilityVolume

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