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#BinanceSquareTalks don't rush to sell your coins. There will be another major crash.
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#Binance #multiversX #BTC #ETH My advice is not to invest now. I think that the market must have a big crash until the halving. look at monthly btc does not look good at all and I think it will retest 20K this year or early next year. Peace 🫡❤️ and DYOR on MultiversX I think he will make nice surprises in the next bull
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#xrp #Binance Why did the blockchain developer go broke? Because they lost their private key to success! 😄
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#Binance Creating a simple buy and sell strategy in TradingView using the Stochastic RSI indicator involves setting up conditions for both buy and sell signals. Here's a basic example: 1. Open the TradingView platform and create or open a chart. 2. Add the Stochastic RSI indicator to your chart: - Click on "Indicators" (top menu). - Search for "Stochastic RSI" and add it to your chart. 3. Set the parameters for the Stochastic RSI indicator. Common values are 14 for length, 3 for smoothK, and 3 for smoothD. You can adjust these based on your preference and market conditions. 4. Define the buy and sell conditions: - Buy Condition: - When the Stochastic RSI crosses above a certain threshold (e.g., 20). - Add a condition for confirmation, such as the Stochastic RSI crossing above a certain level (e.g., 80). - Sell Condition: - When the Stochastic RSI crosses below a certain threshold (e.g., 80). - Add a condition for confirmation, such as the Stochastic RSI crossing below a certain level (e.g., 20). 5. Implement the conditions using TradingView's Pine Script, the scripting language used for creating custom indicators and strategies. Here's a simple example in Pine Script: ```pinescript //@version=4 study("Stochastic RSI Buy/Sell Strategy", shorttitle="StochRSI Strategy", overlay=true) length = input(14, title="Length") smoothK = input(3, title="SmoothK") smoothD = input(3, title="SmoothD") overbought = input(80, title="Overbought") oversold = input(20, title="Oversold") // Calculate the Stochastic RSI StochRSI = sma(stoch(close, close, close, length), smoothK) K = sma(StochRSI, smoothD) // Plot the Stochastic RSI plot(K, color=color.blue, title="StochRSI") // Buy and Sell Conditions plotshape(crossunder(K, oversold) and crossunder(StochRSI, oversold), style=shape.triangleup, location=location.belowbar, color=color.green, title="Buy Signal") plotshape(crossover(K, overbought) and crossover(StochRSI, overbought), style=shape.triangledown, location=location.abovebar, color=color.red, title="Sell Signal") ```
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#MyFirstFeedPost Before investing in crypto, here are some important pieces of advice: 1. Do Your Research: Take the time to understand the technology, the specific cryptocurrency you're interested in, and the market dynamics. Knowledge is your best defense against potential pitfalls. 2. Diversify: Avoid putting all your money into a single cryptocurrency. Diversifying your investments can help spread risk. 3. Start Small: Don't invest more than you can afford to lose. Crypto markets can be highly volatile. 4. Use Reputable Exchanges: Choose well-established and regulated cryptocurrency exchanges to buy and trade crypto. Research their security measures. 5. Wallet Security: Use hardware wallets or reputable software wallets to store your crypto securely. 6. Long-Term Perspective: Consider a long-term investment strategy rather than trying to time the market. 7. Be Wary of Hype: Beware of "get rich quick" schemes and overly optimistic claims. Be skeptical of information shared on social media. 8. Stay Informed: Keep up with crypto news and trends, as the market can change rapidly. 9. Beware of Scams: Be cautious of phishing attempts, fraudulent ICOs, and fake investment schemes. Verify information and double-check addresses. 10. Seek Professional Advice: If you're uncertain, consult with a financial advisor who understands cryptocurrencies and investments. Remember that investing in cryptocurrencies carries risks, and it's important to make informed decisions. Never invest money you can't afford to lose, and be prepared for market fluctuations.
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