March 2019 was mostly a good month in the markets.  It was just great in terms of performance of day trading alerts provided by
stocksbuyalerts.com! Large-cap domestic stocks (S&P 500 Index) and bonds (Bloomberg Barclays US Aggregate Index) saw the highest returns, up 1.94% and 1.92% respectively. Global stocks nearly erasing losses incurred in Q4. However, gains in March accumulated at a slower pace than either January or February and were more concentrated. Bonds continued to impress, as investors drove yields lower in the wake of the Fed confirming further rate hikes are expected to be on ice for the remainder of the year.

The rapid Q4 correction and 2019 recovery whipsawed many investors who reacted emotionally. After an extraordinary lack of volatility in 2017, recent choppiness is a good reminder that markets don’t go in a straight line and strong up and down moves should both be expected and planned for. Those with a strategic plan were able to benefit from tax management and rebalancing and we believe remain by far most likely to emerge from full market cycles successfully.

Day Trading Alerts generated by our AI-powered system could definitely help you to out perform the market in March 2019! See the summary charts below.

Several subscribers and visitors have reached out to me asking to share the historical performance of the stock trading alerts which my system sends. The alerts indicate the entry points with a high probability of growth. Currently, the stock trading alerts system does not suggest specific target prices as well as stop losses. Due to that, it would have been misleading to post here a performance report of some hypothetical stock trading strategy. The system just sends the alert. You decide whether to trade or not and where to put your stops.

In this post, I’d like to share the charts for each alert between the beginning of January and end of September of 2017, so you’ll be able to see stock price behavior before and after the alert. I hope these charts will help you to analyze your stock trading approach and make it more profitable. If you need to do back testing of any particular trading strategy, please take a look at stockstrategytest.com. You can order backtesting or request customized alerts according to your own rules there.

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We are constantly looking for opportunities to improve the day trading alerts we send, so our subscribers can make more profit. We keep accumulating all kinds of information about each trading opportunity identified. In this article, we’d like to share some results of our research based on statistics of last six months.

Our system identifies about twenty trading opportunities daily. However, in average, it sends just 2-3 trading alerts per day. The system analyses a number of market parameters, selects the opportunities with maximum probability of success, and sends instant unbiased trading alerts to all subscribers. Some of the parameters the system is tracking are: difference with the Simple Moving Average (SMA) and growth potential. Growth potential shows how the stock price grew since the demand zone was formed. Usually, we do not consider opportunities with growth potential below 0.5%. The table below shows a summary of hypothetic trading results over six months between March and August 2016. It demonstrates how number of winning and losing trades depends on the initial parameters of the trade – potential growth and difference with SMA (50 intervals). In this experiment, the gain target was +0.4% and stop loss -0.6%.

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