


AK
1.5K posts

@ChainupAK
BTC 10年10倍!!! 我不允许还有人没听过这么牛逼的音频 https://t.co/2WnUkVeDl3










预期熊市会在什么时间结束? 这也是一个众说纷纭的话题,角度不同预期也不同,比如从宏观、K线技术、链上指标等等。为此我也做了很多尝试;比如,通过计算过往3轮周期从ACVR开始拐头(具体见引文)到本轮走出熊底所经历的时间: 1、第一轮:2014.10.5-2015-8.26; 326 天左右; 2、第二轮:2018.6.17-2019.4.1; 289 天左右;相较于上一轮减少37天; 3、第三轮:2022.6.2-2023.1.7; 220 天左右;相较于上一轮减少69天; 可以看到中间所经历的时间 —— 越来越短! 即“BTC未实现盈亏比”处在极低程度的时间越来越短 —— 市场不接受更大的损失,这就和每一轮周期中的资本结构以及参与者结构变化有着必然关系。 而这一次ACVR从2026.3.4开始拐头,如果这个规律得以延续(即经历时间小于上一轮),那么本轮周期“走出熊底”大致应在2026年10月9日之前,甚至会早于8月1日。 注意: 1、测算的是“走出熊底”的预期时间,而不是“熊底出现”; 2、虽然有一定的逻辑,但仍然存在“刻舟”的嫌疑。





Claude + Polymarket = Free Money? (Full Bot Tutorial)



Chinese quant built a simulation of how SPX price reacts to any global event. He’s already made over $100k - with full blockchain proof. He knows exactly where price will go. More than 40 years of SPX trading history have been loaded into MiroFish simulator (18k stars on GitHub) AI analyzed every single moment in that trading history. Now this guy has a fully functional SPX price prediction system. His wallet: @moisturizer?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@moisturizer?v…
Dozens of successful SPX price-prediction trades and hundreds of tests across other stock markets. Here’s exactly what you need to replicate his stack: - market data APIs (SPX price, use Alpha Vantage or Quandl) - data pipeline (use Python) - feature engineering (for output signals like RSI, MACD) - seed dataset for MiroFish (convert data into structured context) - multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents etc.) - probability forecast (run different scenarios) - trading / decision Model (SPX futures ES, SPY ETF) Save this pipeline if you want to run a similar simulation on your own data. You can feed the whole thing to your Claude and build your first (even small) simulation model together.