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Mar 23, 2018
A.I. Stock Market Predictions: Three Rising Valleys

A.I. Stock Market Predictions: Three Rising Valleys

Statistics for the Three Rising Valleys Pattern

If you’re a trader who likes bullish patterns, the “Three Rising Valleys” pattern is built for you. Take a look at the chart below for Goldman Sachs (ticker GS). Last summer, Tickeron's A.I. discovered a Three Rising Valleys bullish pattern and accurately predicted the stock price surge from the Breakout Price of $231.54 to the Target Price of $247.18 — a nearly +7% gain.

 

 

The Three Rising Valleys pattern forms when three minor Lows (1, 3, 5 on the chart) arrange along an upward sloping trend line. The pattern often appears at the end of a declining trend, as you can clearly see from March to June in the chart above. The Rising Valleys indicate that buyers are overtaking sellers, which ultimately pushes the price higher.

 

 

Goldman Sachs followed the pattern almost perfectly, with the stock progressively hitting higher lows last summer after a declining trend. Tickeron’s algorithms spotted the trend, and as soon as GS hit its Breakout Price of $231.54, the A.I. called for a Target Price of $247.18. Goldman Sachs hit it before the end of the year.

Microsoft was another stock that Tickeron’s A.I. confirmed in a Three Rising Valleys pattern. Check out the chart below, which was produced by the A.I. late last year:

 

 

The A.I. found the Three Rising Valleys (1,3,5) on September 21, 2017, and then waited for the stock to hit the Breakout Price of $74.71. When MSFT reached $74.71, Tickeron’s A.I. projected it would hit a Target Price of $77.44. For traders who were subscribed to this pattern, you would have received a notification in your inbox of a potential trade. Had the investor bought MSFT or a call option at the Breakout Price, there would have been a potential profit on the table.

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 for yourself below. In instances where the A.I. was more than 40% confident that the price of the stock would move at least 7% higher to its target price, the A.I. was right more than 54.56% 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 +14.13%

 

 

Ready to Start Trading?

For investors who enjoy trading the markets and looking for unique opportunities, it could make sense to add a new, Artificial Intelligence-powered tool to your investment toolbox. You can find this tool on tickeron.com.

Humans do not have the time or the ability to scan the markets day-in and day-out looking for patterns in stocks, ETFs, mutual funds, and cryptocurrencies. It is simply not possible — unless you get help from algorithms and A.I. Give Tickeron’s new platform a try to enhance your trading, by using hard data to trade patterns and make investment decisions. A 45-day trial is free, and you might be surprised at just how effective Artificial Intelligence can be when applied to trading.

Related Ticker: GS

Contributor

Harry Richardson — Algorithmic Trader & Strategy Developer Harry is an algorithmic trader specializing in impulse and breakout trading strategies across cryptocurrency and equity markets. With more than 10 years of experience in developing automated trading systems, he focuses on building structured algorithms designed to capture momentum while maintaining strict risk control. His approach combines quantitative analysis, real-market execution, and continuous performance monitoring. Vitalii prioritizes risk management, drawdown control, and strategy stability over short-term optimization, ensuring algorithms are adaptable to changing market conditions. He has developed and tested hundreds of automated strategies, working extensively with live trading environments, forward testing, and portfolio-level algorithm management. His work centers on transforming trading ideas into fully operational, scalable automated systems.


GS sees its Stochastic Oscillator ascends from oversold territory

On September 04, 2026, the Stochastic Oscillator for GS moved out of oversold territory and this could be a bullish sign for the stock. Traders may want to buy the stock or buy call options. Tickeron's A.I.dvisor looked at 53 instances where the indicator left the oversold zone. In 42 of the 53 cases the stock moved higher in the following days. This puts the odds of a move higher at over 79%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

Following a +3.40% 3-day Advance, the price is estimated to grow further. Considering data from situations where GS advanced for three days, in 217 of 350 cases, the price rose further within the following month. The odds of a continued upward trend are 62%.

GS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Momentum Indicator moved below the 0 level on September 09, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on GS as a result. In 33 of 76 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are 43%.

The Moving Average Convergence Divergence Histogram (MACD) for GS turned negative on September 14, 2026. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 45 similar instances when the indicator turned negative. In 26 of the 45 cases the stock turned lower in the days that followed. This puts the odds of success at 58%.

GS moved below its 50-day moving average on August 26, 2026 date and that indicates a change from an upward trend to a downward trend.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where GS declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 55%.

Fundamental Analysis (Ratings)

The Tickeron SMR rating for this company is 4 (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 Profit vs. Risk Rating rating for this company is 8 (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 86, placing this stock better than average.

The Tickeron Price Growth Rating for this company is 44 (best 1 - 100 worst), indicating steady price growth. GS’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.

The Tickeron PE Growth Rating for this company is 57 (best 1 - 100 worst), pointing to consistent 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 Valuation Rating of 77 (best 1 - 100 worst) indicates that the company is slightly 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 (2.623) is normal, around the industry mean (4.435). P/E Ratio (15.263) is within average values for comparable stocks, (21.128). Projected Growth (PEG Ratio) (1.222) is also within normal values, averaging (1.550). Dividend Yield (0.018) settles around the average of (0.032) among similar stocks. P/S Ratio (4.632) is also within normal values, averaging (16.981).

Notable companies

The most notable companies in this group are Morgan Stanley (NYSE:MS), Goldman Sachs Group (NYSE:GS), Charles Schwab Corp (The) (NYSE:SCHW), Gold.com Inc. (NYSE:GOLD).

Industry description

These banks specialize in underwriting (helping companies with debt financing or equity issuances), IPOs, facilitating mergers and other corporate reorganizations and acting as a broker or financial advisor for institutions. They might also trade securities on their own accounts. Investment banks potentially thrive on expanding its network of clients, since that could help them increase profits. Goldman Sachs, Morgan Stanley and CME Group Inc are some of the largest investment banking companies.

Market Cap

The average market capitalization across the Investment Banks/Brokers Industry is 13.31B. The market cap for tickers in the group ranges from 13 to 928.5B. PKRSF holds the highest valuation in this group at 928.5B. The lowest valued company is BFCH at 13.

High and low price notable news

The average weekly price growth across all stocks in the Investment Banks/Brokers Industry was -7%. For the same Industry, the average monthly price growth was 4%, and the average quarterly price growth was 1%. ANY experienced the highest price growth at 26%, while LGHL experienced the biggest fall at -95%.

Volume

The average weekly volume growth across all stocks in the Investment Banks/Brokers Industry was -2%. For the same stocks of the Industry, the average monthly volume growth was 12% and the average quarterly volume growth was -30%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 66
P/E Growth Rating: 64
Price Growth Rating: 56
SMR Rating: 74
Profit Risk Rating: 85
Seasonality Score: -3 (-100 ... +100)
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General Information

a provider of investment banking, securities and asset management services

Industry InvestmentBanksBrokers

Profile
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Investment Banks Or Brokers
Address
200 West Street
Phone
+1 212 902-1000
Employees
47400
Web
https://www.goldmansachs.com
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