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FTX Nets $1.9B in Solana Sale at $64 per SOL, Discount Price Draws Creditor Scrutiny $SOL #Write2Earn #BTC #SOL $ETH

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#BullBearTrader #Memecoins $BTC $SOL Bitcoin Halving: Is 3200% Surge Feasible Following Potential Supply Crunch? Bitcoin halving is seen as bullish event with massive gains in the past, however several factors could impede the price surge. By David Pokima 2 mins ago stake STORY HIGHLIGHTS The upcoming Bitcoin halving continues to attract bullish projections. Analysts look at factors that can impede a massive rise. Data points to diminishing returns after halving. The cryptocurrency market awaits the upcoming Bitcoin halving which will slash miner rewards by 50% as bulls tip another price run. A new market report from crypto analytics firm CoinGecko shows a two fold situation with steady increase in Bitcoin price after each halving and a case of diminishing returns. SirWin Bitcoin has surged an average of 3,230% after three previous halvings with bulls projecting a price surge pointing to historical events. However, bears and short traders opine that the rise would not be as high as previous halvings due to supply crunch, sell pressure, crypto regulations, macroeconomic factors, etc. Historic Trends in Bitcoin Price The trend of Bitcoin halving dominated crypto spaces in the last few months. From miners and traders positioning to reserve flows to centralized exchanges, analyst have linked price movements to the historic bullish event. The first halving in November 2012 slashed rewards from 50 BTC to 25 BTC. Within a year post halving, the price surged from $12 to $1,075 recording over 8,000% increase in price. The second halving in July 2016 reduced fees to 12.5 BTC with a yearly touch rise off 294%. Bitcoin price grew from $650 to $2,560 a year after the halving. Scorpion Casino $SCORP Pre-Sale Is Almost Sold Out Famous Casino Launches Token with Daily Staking Rewards BUY $SCORP AD In May 2020, the third halving reduced rewards to 6.25 BTC with the price going from $8,727 to $55,847. Analysts signalled the diminishing return with respect to price movements after halving and how it can influence the next occurrence.

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$BNB #Write2Earn #TrendingTopic Price action in the context of trading and investing refers to the movement of a security's price as depicted on a chart. It is the study of the various patterns, formations, and movements of an asset's price over time, without necessarily using traditional indicators or oscillators. Traders who focus on price action are interested in understanding the behavior of market participants as reflected in the price movements. Price action analysis often involves identifying and interpreting patterns such as support and resistance levels, trend lines, candlestick formations, and chart patterns like head and shoulders, triangles, and flags. Traders who use price action may also look for key price levels, such as round numbers or significant highs and lows, to make trading decisions. By focusing on price action, traders aim to gain insights into market sentiment, trend strength, and potential reversals. It can be used in various trading strategies, including day trading, swing trading, and position trading. Overall, price action analysis is a fundamental aspect of technical analysis and is used by many traders to make informed decisions about buying, selling, or holding financial instruments.$BTC $SOL

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$ETH #Write2Earn $BTC $SOL Giving signals in cryptocurrency trading typically involves analyzing market data and then providing recommendations or notifications to traders about potential trading opportunities. Here are some general steps to create signals for cryptocurrency trading: 1. **Technical Analysis**: Use technical analysis to study historical price and volume data to identify patterns, trends, and support/resistance levels. Common technical analysis tools include moving averages, RSI (Relative Strength Index), MACD (Moving Average Convergence Divergence), and Bollinger Bands. 2. **Fundamental Analysis**: Consider the fundamental factors that can affect the price of cryptocurrencies, such as news, developments in the blockchain technology, regulatory changes, and market sentiment. 3. **Algorithmic Trading**: Develop or use algorithmic trading strategies that analyze market data and generate buy or sell signals based on predefined rules. This can involve coding trading bots or using existing platforms that offer algorithmic trading tools. 4. **Market Sentiment Analysis**: Monitor social media, forums, and news sources to gauge market sentiment and identify potential trends or shifts in investor mood. 5. **Risk Management**: Establish risk management rules, such as setting stop-loss orders and determining position sizes based on the level of risk you are willing to take. 6. **Notification System**: Once you have identified a potential trading signal based on your analysis, you can then communicate this information to traders through various channels such as social media, trading platforms, email, or a dedicated app. 7. **Backtesting**: Before using the signals in live trading, it's important to backtest your strategy to assess its historical performance under various market conditions. It's important to note that trading signals are not a guarantee of success and should be used cautiously. Users should always perform their own research and consider consulting with a financial advisor before making any trading decisions.

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