If you can answer 11 questions fluently, you must have your own trading system. If you can't answer them, please think about what went wrong? 1. Regarding the heat clearing diagram How do you interpret the heat clearing chart? What role does it play in your trading decisions? Would you use clearing data to predict possible market reversals or acceleration points? 2. Regarding support and resistance How do you typically identify key support and resistance levels? Do you dynamically adjust support/resistance levels (such as order book depth, historical highs and lows, Fibonacci, psychological integer levels, etc.) based on changes in trading volume and market sentiment? 3. Judgment on the weakening trend How do you define 'trend weakening'? Is it a combination of price behavior (such as breakthrough failures, changes in high and low points), technical indicators (such as RSI divergence, moving average crosses), or market microstructure (such as changes in liquidity)? Will derivative data (such as funding rates, OI changes) be used to assist in judgment? At that time, you said Regarding the signal of bottom fishing in the Asian stock market What indicators or data do you observe to determine bottom fishing behavior during the Asian market period? How do you take advantage of the differences in market behavior between Asian and European markets, such as large on chain transfers, net inflows to exchanges, and long short ratios in derivative markets? 5. Regarding Position Management and Stop Loss What is the typical proportion of your total funds for a single transaction? Will it dynamically adjust based on market volatility? Is the stop loss strategy a fixed percentage (such as 2% -5%), or is it dynamically set based on technical level or ATR (Average True Wave)? Will step-by-step profit taking or moving stop loss be adopted? 6. Regarding support at the daily/weekly level What factors do you value more when looking for support at the daily or weekly level? Will long-term trend lines, institutional holding cost zones, and chip distribution in on chain data be combined with macroeconomic cycles such as Federal Reserve policies and BTC halving to enhance the effectiveness of support/resistance? 7. Capturing opportunities for counterfeit coins How do you screen potential opportunities for counterfeit coins? Will they pay attention to on chain data (such as changes in whale holdings, net outflows from exchanges) or derivative market signals, such as market value/liquidity thresholds, project fundamentals, community popularity, and technological breakthroughs? How to determine whether the market for altcoins is independent Alpha or simply following BTC's Beta? 8. Regarding market cycles and emotions How do you determine whether the current market is in a bull market, bear market, or volatile phase? Is there a specific indicator or framework? Will extreme fear/greed emotions be used to assist in trading 9. Do you use quantitative tools or algorithms to assist in trading? (such as mean regression strategy, trend tracking strategy) 10. How do you combine macroeconomic factors such as the US dollar index and US bond yields with the cryptocurrency market? 11. Do you have a habit of reviewing transaction logs? How to extract experience from failed transactions?