A.I. Stock Market Predictions: Head & Shoulders
Statistics for the Head-and-Shoulders Bottom Pattern
The days where only hedge funds used algorithms to trade stocks are officially over.
Now retail investors can use Artificial Intelligence (A.I.) to find patterns in the markets and to make trades based on ideas generated by algorithms. If the A.I. discovers a pattern and makes a prediction on where the price of a stock is headed, the investor could potentially capitalize (if the A.I. is correct).
Here’s an example of the algorithm in action:
Late last year, Tickeron’s A.I. discovered a Head-and-Shoulders Bottom Pattern for a stock that everyone knows: Facebook (FB). As you can see in the chart above, the algorithm scanned Facebook’s price movements last summer and followed the price as it formed a Head-and-shoulders Bottom pattern from late August through October 7. The pattern is marked by points 1 through 5. Once FB hit the “Breakout” price of $172.19, Tickeron’s A.I. predicted the price would hit $181.51. If you were a subscriber to this pattern on Tickeron.com, you would have received the A.I.’s prediction right in your inbox! Then it would have been up to you to make a trade based on the predicted target price.
A subscription to Tickeron’s Pattern Search Engine would have also given you access to a Head-and-Shoulders Bottom Pattern for a blockbuster stock that many retail investors own already: Apple Inc. (AAPL). The A.I. would have told you that the breakout price for the stock was $161.02 and that it expected the stock to jump to $172.64.
In just a few days, Apple’s stock did just that, marked by “Success” on the chart below:
How Effective is Tickeron’s A.I.?
Any reasonable investor or trader would say, “Ok, this looks great on paper. But how effective is Tickeron’s A.I. at making these predictions? Where are the statistics?”
See below. In instances where the A.I. was more than 20% confident that the price of the stock would move at least 5% higher to its target price, the A.I. was right more than 58% of the time. That’s a solid metric.
Another solid metric? When Tickeron’s A.I. was right, the average return on the trade was +12.05%:
Statistics for the Head-and-Shoulder (Bullish) Pattern
Ready to Start Trading?
The Head-and-Shoulders (Bullish) pattern is formed when a stock price creates a trough (point 3) with two inverted “shoulders” (1, 5). The pattern is formed when a stock is testing new lows on a downtrend. After reaching the lowest low (the Head, 3) the next low is shallower and the trend reverses course to the upside.
This type of formation happens when investors create a minimum support level for a stock price, and ultimately trading consolidates into an uptrend.
To trade the pattern, an investor has to watch out for the Breakout Price, which Tickeron’s A.I. will do for you. Once the stock price breaks out from the top pattern boundary (the neckline), day traders and swing traders might consider buying the stock or a call option — hopefully riding it up to the target price.
If pattern trading is new to you, perhaps a great way to get started is through a free trial of Tickeron’s Pattern Search Engine. For 45 days, you can see how the algorithm works and how you can potentially use it to make smarter trades.
For experienced investors still not using algorithms to help you trade, what are you waiting for?! Get started today on tickeron.com.
AAPL's RSI Indicator ascends from oversold territory
The RSI Indicator for AAPL moved out of oversold territory on January 27, 2025. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 21 similar instances when the indicator left oversold territory. In of the 21 cases the stock moved higher. This puts the odds of a move higher at .
Technical Analysis (Indicators)
Bullish Trend Analysis
The Moving Average Convergence Divergence (MACD) for AAPL just turned positive on January 29, 2025. Looking at past instances where AAPL's MACD turned positive, the stock continued to rise in of 45 cases over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where AAPL advanced for three days, in of 342 cases, the price rose further within the following month. The odds of a continued upward trend are .
Bearish Trend Analysis
The Stochastic Oscillator may be shifting from an upward trend to a downward trend. In of 62 cases where AAPL's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .
The Momentum Indicator moved below the 0 level on February 03, 2025. You may want to consider selling the stock, shorting the stock, or exploring put options on AAPL as a result. In of 69 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
AAPL moved below its 50-day moving average on January 10, 2025 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for AAPL crossed bearishly below the 50-day moving average on January 16, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where AAPL declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for AAPL entered a downward trend on January 30, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 85, placing this stock better than average.
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to outstanding earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. AAPL’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (35.461) is normal, around the industry mean (93.322). P/E Ratio (26.429) is within average values for comparable stocks, (43.048). Projected Growth (PEG Ratio) (2.092) is also within normal values, averaging (1.971). AAPL has a moderately low Dividend Yield (0.006) as compared to the industry average of (0.025). P/S Ratio (6.925) is also within normal values, averaging (80.607).
Notable companies
Industry description
Market Cap
High and low price notable news
Volume
Fundamental Analysis Ratings
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
General Information
a manufacturer of mobile communication, media devices, personal computers, and portable digital music players
Industry ElectronicsAppliances