A short peak to global indexes and technicals
From the table below you can find which of the markets and asset classes are above or below their simple 200 days moving averages, which 20 days moving averages are below 200 days averages and which markets have positive MACD(12,26,9).
Dow Jones Industrial Average and France's CAC40 are the first weak indexes. Japan's Nikkei 225, Russia's RTS, Taiwan's TSEC and Shanghai Stock Exchange Composite turned below their 200 days moving averages.
Below, I have calculated the subtraction of positive and negative MACDs from the above table, which gives 16 positive and 2 negative. You can see how this global bullishness usually affects to Dax index. So, the current bullishness has been historical when comparing different indexes and seeing their MACDs positive lately.
In a longer term of view, you can see that the volatility of this index has been growing. In the other words, the indexes and asset classes seem to have stronger correlation.
From the table below you can find which of the markets and asset classes are above or below their simple 200 days moving averages, which 20 days moving averages are below 200 days averages and which markets have positive MACD(12,26,9).
Dow Jones Industrial Average and France's CAC40 are the first weak indexes. Japan's Nikkei 225, Russia's RTS, Taiwan's TSEC and Shanghai Stock Exchange Composite turned below their 200 days moving averages.
| MACD | SMA 200 | 20 vs. 200 | ||||
| d_1 | d_2 | d_1 | d_2 | d_1 | d_2 | |
| Goldsilves (XAU) | -1 | 1 | -1 | -1 | -1 | -1 |
| Oil (OIX) | 1 | 1 | 1 | 1 | 1 | 1 |
| natgas (UNG) | 1 | 1 | -1 | -1 | -1 | -1 |
| agric (DBA) | -1 | -1 | -1 | -1 | -1 | -1 |
| S&P500 | 1 | 1 | 1 | 1 | 1 | 1 |
| Dow Jones | -1 | 1 | 1 | 1 | 1 | 1 |
| Nasdaq | 1 | 1 | 1 | 1 | 1 | 1 |
| Russell2000 | 1 | 1 | 1 | 1 | 1 | 1 |
| Japan | 1 | 1 | -1 | -1 | -1 | -1 |
| Germany | 1 | 1 | 1 | 1 | 1 | 1 |
| Finland | 1 | 1 | 1 | 1 | -1 | -1 |
| UK | 1 | 1 | 1 | 1 | 1 | 1 |
| France | -1 | 1 | 1 | 1 | -1 | -1 |
| Russia | 1 | 1 | -1 | 1 | -1 | -1 |
| Brazil | 1 | 1 | 1 | 1 | 1 | 1 |
| India | 1 | 1 | 1 | 1 | -1 | -1 |
| Hang Seng | 1 | 1 | 1 | 1 | -1 | -1 |
| SSEC | 1 | 1 | -1 | -1 | -1 | -1 |
| Korea | 1 | 1 | 1 | 1 | -1 | -1 |
| Taiwan | 1 | 1 | -1 | 1 | -1 | -1 |
| Turkey | 1 | 1 | 1 | 1 | -1 | -1 |
| Malesia | 1 | 1 | 1 | 1 | 1 | 1 |
| Emerging Mkts (EEM) | 1 | 1 | 1 | 1 | 1 | 1 |
Below, I have calculated the subtraction of positive and negative MACDs from the above table, which gives 16 positive and 2 negative. You can see how this global bullishness usually affects to Dax index. So, the current bullishness has been historical when comparing different indexes and seeing their MACDs positive lately.
 |
| MACD short term view |
In a longer term of view, you can see that the volatility of this index has been growing. In the other words, the indexes and asset classes seem to have stronger correlation.
 |
| MACD long term view |
