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Multi-Timeframe Resonance in Action: Buy point analysis in China A share

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  I've been reading Professor Jiang Tao's book "Investment Psychology" lately. The multi-cycle resonance method he used helped his friend Niu Hai achieve a 20-fold return in a single month. Let's take a look at this strategy. I'll also share how to use the multi-cycle resonance method with two of my own A-share holdings. These are some notes I wrote. The figure below is the summary of AI. Indicators such as (YUAN-D) should be Professor Jiang Tao’s own and can be ignored for now. ① Large-Scale (Weekly/Daily) → Determine Trend Direction Pattern: The overall trend must be upward Bollinger Bands: The candlestick chart must be on the outer edge of the Bollinger Bands (the further out, the stronger) Moving Average: The outer edge of the MA15 is more effective Angle: 45° (Upward) → Strongest Trend Indicator Confirmation: KD and MACD are upward ② Daily Level → Confirm Trend Establishment SAR Indicator: Supports the upward trend ③ Hourly Level → Medium-Scale Confir...
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多周期共振实战：华发股份与海航控股

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  最近一直在读江涛老师的投资心学，里面的多周期共振帮他的朋友牛海创造了一个月 20 倍的收益。让我们一起来看一下这个策略，我也结合自己持仓的两个 A 股股票来用多周期共振的方法来分享下。 这是我写的一些笔记，下图这是 AI 总结的， (YUAN-D) 等指标应该是江涛老师自己的，暂可忽略   那么我们用这些因素来分析一下我最近关注的两个股票 华发股份 (600325) 海航控股 (600221) ： 1.      K 线在布林带外缘 ( 如果在 MA15 外就更好 ) 先来解释一下 BOLL 指标 ( 布林线 ):    K 线靠近上轨（红线） ：说明股价强势，通常在上涨趋势中会 “ 沿着上轨走 ” 。    K 线靠近下轨（绿线） ：说明股价弱势，通常在下跌趋势中会 “ 沿着下轨走 ” 。    K 线在中轨附近（蓝线） ：说明行情相对平稳，趋势不明显。    如果股价持续在 上轨（红线）外缘或附近 ，代表趋势非常强劲（多头行情）。    如果股价在 下轨（绿线）外缘或附近 ，代表下跌趋势很强（空头行情）。 这里红色就是外缘，蓝色是 MA15 第一个图是华发的，从这个指标来看目前是强势阶段，而且呈现 45 °上涨 第二个海航就是有点弱势了，现在展现的是空头行情   2.      MACD, KDJ 指标 先简单介绍一下两个指标 KDJ ：判断超买超卖，捕捉短期转折点。 K ：快速线， D 慢速线， J ：辅助线，放大波动    交叉信号 ： K 线上穿 D 线 → 金叉，短期买入信号。 K 线下穿 D 线 → 死叉，短期卖出信号。    数值区间 ： 80 → 超买区，可能回调。 <20 → 超卖区，可能反弹。 MACD ：判断趋势方向，强弱，和买卖时机    交叉信号 ： DIF 上穿 DEA → 金叉，买入信号。 DIF 下穿 DEA → 死叉，卖出信号。    柱子变化 ： ...
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How to Spot Investment Opportunities in China’s A-shares with Regression Analysis

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 In July this year, I was studying Prof. Dharmadharan's valuation course, and one of the models that is slightly simpler than DCF is multiple linear regression, which has also been confirmed to be true and usable in the Chinese A-share market. This model is simply to use a basket of stocks, such as (bank etf) of various indicators, to find out the linear relationship between the independent variable and multiple dependent variables, for example, suppose the dependent variable is PB, independent variables are PE, ROE, the bank's non-performing loan ratio. This will give us a regression equation. For example PB = a + x* PE + y ROE + z NPL ratio of banks. With this we can substitute PE, ROE, NPL ratio of individual stocks to get a predicted PB, if the predicted PB is lower than the current PB then it means currently undervalued. Below I will combine python code, and Prof. Dharmadharan's course, together with a detailed look at this method. You are also welcome to discuss wit...
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