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Bitwise Alpha head Jeff Park said BTC’s upside is capped by OG holders continuously selling options, suppressing price action and implied volatility. While ETFs are buying spot and calls, demand remains insufficient to offset native options sell pressure, keeping BTC stuck in a

JUST IN: Michael Saylor hints at buying more Bitcoin. "₿ack to More Orange Dots."

JUST IN: Michael Saylor Hints MicroStrategy will buy more #Bitcoin tomorrow. No hesitation. No timing the market. Just relentless conviction.

🤖 Potential AI Trading Bot Strategies to Share If you were to enter a contest, you could discuss strategies like these: 1. Spot Grid Bot for Ranging Markets · Core Strategy: This bot is designed to profit from markets moving sideways without a clear trend. · Your Insight: You could share your method for identifying a stable trading range. For example, setting the upper and lower price boundaries based on key support and resistance levels, and explaining how you determine the optimal number of grids to balance profit frequency with transaction costs. · Example Pair: BTC/USDT during a period of low volatility. 2. DCA (Dollar-Cost Averaging) with Spot Auto-Invest Bot · Core Strategy: This bot automates regular purchases to average the entry price over time, reducing the impact of market volatility. · Your Insight: A strong insight would be your analysis on selecting the right assets for DCA (e.g., major cryptocurrencies like BTC or ETH) and determining the optimal investment frequency (e.g., daily or weekly) based on historical volatility patterns. You could also mention Bitget's feature that allows diversifying a single DCA plan across up to 10 different cryptocurrencies. 3. Trend-Following with CTA Bot · Core Strategy: The Commodity Trading Advisor (CTA) bot uses algorithms to identify and follow market momentum. · Your Insight: You could share which technical indicators (like moving average crossovers or RSI levels) you've found most effective for the bot to use as entry and exit signals in trending markets. Discussing how to set stop-loss and take-profit levels to manage risk with this strategy would add depth. 4. High-Risk/High-Reward: Martingale Bot · Core Strategy: This bot increases the trade size after a loss, aiming to recover losses when the market reverses. · Your Insight: Because this is a high-risk strategy, a valuable contribution would be outlining strict risk management rules. You could explain how to determine a safe "base order" size, set a maximum number of "safety orders," and define clear conditions for when to stop the bot to prevent significant losses. 💡 How to Develop and Present Your Insights To make your insights stand out, you should: · Backtest Your Strategy: Use historical data to test how your bot configuration would have performed. · Define Clear Parameters: Always specify the trading pair, investment amount, key settings (like price range, indicators), and risk management rules. · Match the Bot to Market Conditions: Explain why your chosen bot (Grid, DCA, CTA) is suited for the current or anticipated market environment (sideways, trending, volatile). · Share Results: If possible, present the performance of your strategy with metrics like total return on investment (ROI) or drawdown.$BTC $ETH