Stock Market Predictor

Stock Indexes Probability Calculator

50%

Markets will be stable in May 2024. Not much volatility expected.

May Indication: 0.5 Stable
June Indication: 0.7 Bullish
July Indication: 0.8 Bullish

Based on the data, our AI algorithm predicts that May is going to be stable(not bearish not bullish) for all the stock indexes around the world. The month of May might be neutral to bullish for the stock markets and there won't be a great opportunity for traders. However, the month of June is going to be bullish and one should consider buying stocks in May for a good profit.

Our AI predicts that May-2024 is going to be neutral for markets all around the world.

STRONG Buy

This is a great time long-term investment
Markets all around the world might turn bullish after May'24
If you are a trader, consider the following buy-the-deep strategy. For investors, after May, you will see good profit gains.

Data Indicates Markets are oversold. Most positions are built in favor of longs. It is advised to go long on stocks after May. Markets all around the world might see a big rise after May month.

If you are a trader then stay cautious on shorts in May and for investors, the month of May is going to be a golden opportunity for long-term investments.

The AI-based probability meter indicates the probability of this prediction. This is the prediction for one month. The stock market prediction and probability will be updated automatically by the AI model as soon as it discovers a new pattern or finds out significant data. This probability meter may change quickly in case any important news breaks out.

About this Stock Market Predictor

An AI-based Stock market indexes predictor. This stock market predictor uses machine learning algorithms and stock market data of over 60 years to predict the direction of stock market indexes. In the recent past, our stock market predictor predicted the February-March 2022 market crash in the first week of February month based on the data. With the help of Artificial Intelligence techniques, we have trained our machine to read the stock market indexes through data build-up and technical analysis.