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Sergey Savastiouk's Avatar
published in Blogs
Mar 02, 2021
Using a Search Engine to Discover Trade Opportunities

Using a Search Engine to Discover Trade Opportunities

Anytime you want to learn something new and different, your next step is usually pretty straightforward and obvious: just Google it. 

But what if a "new trade idea" or "trading opportunity" was what you were after? If you Google "trade opportunities," prepare to be disappointed. I tried it, and all I got were a few opinion pieces and how-to guides. Nothing that gave me real technical analysis, ideas, or data. 

That's why I'm excited about the new search engine that Tickeron is rolling out to retail investors -- a search engine that can scan the stock, ETF, cryptocurrency, and FOREX markets in search of technical trading patterns with real data and statistically calculated trade ideas. It's called the Pattern Search Engine and it has the potential to be the "Google" of technical analysis for investors and traders. 

How It Works

Computer scientists can program algorithms to scan thousands and thousands of charts (in seconds) to identify patterns by their key geometrical elements. Advances in A.I., Cloud Computing and Big Data have made it possible to perform massive calculations against a vast array of current and historic market data needed for high-quality pattern recognition.

The problem for retail investors so far has been....only hedge funds and big institutions have had access to these types of professionals and technology. In a sense, the technology is giving institutional investors a leg-up in the investment process, providing them real-time research about security pricing and historical trends. For example, these institutions can use A.I. to scan thousands of stock/ETF/Forex/cryptocurrency charts in just a few seconds to identify patterns and trading opportunities.

But that's all changing. 

Tickeron has developed an A.I.-powered Pattern Search Engine that is now available to investors of all levels on a user-friendly platform. No longer is this type of technology limited only to institutional investors. Now, you can use it every day to generate trade ideas and to scan thousands of price charts to find bullish and bearish patterns with just a few clicks.

Tickeron’s A.I. can identify 37 different bullish and bearish pattern types. But it does more than just pattern discovery. It can also distinguish patterns as “Emerging” and/or “Confirmed,” which allows traders the opportunity to monitor or make a trade with an A.I.-determined confidence levels. The A.I. can also backtest the particular security or the particular pattern (or both!) to see how many times the pattern has occurred and what the odds of success of the trade are. For each potential trade, the A.I. also provides a breakout price and target price to give the investor a framework for how to consider approaching the trade. 

Think about being able to type your favorite stock into a search bar and then allowing Artificial Intelligence to help you find potential trade opportunities for your particular stock? The Search Engine Tool also works like a virtual research and investment assistant, allowing you to customize the types of data you want to receive. 

At the end of the day, the A.I.-powered Pattern Search Engine provides traders with quality, data-rich trading ideas based on patterns detected by Tickeron’s A.I. This trove of information allows traders to benefit from statistics and forecasted price movements, facilitating smarter (and faster) trades.

Ready to learn how to use the Pattern Search Engine and to put it to work?? Start by Downloading the Free eBook that you can access via this link

Related Ticker: SPY

SPY's RSI Indicator leaves overbought zone

The 10-day RSI Indicator for SPY moved out of overbought territory on June 03, 2026. This could be a sign that the stock is shifting from an upward trend to a downward trend. Traders may want to look at selling the stock or buying put options. Tickeron's A.I.dvisor looked at 44 instances where the indicator moved out of the overbought zone. In of the 44 cases the stock moved lower in the days that followed. This puts the odds of a move down at .

Price Prediction Chart

Technical Analysis (Indicators)

Bearish Trend Analysis

The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 5 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where SPY 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 SPY entered a downward trend on July 08, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on July 02, 2026. You may want to consider a long position or call options on SPY as a result. In of 72 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .

The Moving Average Convergence Divergence (MACD) for SPY just turned positive on July 06, 2026. Looking at past instances where SPY's MACD turned positive, the stock continued to rise in of 51 cases over the following month. The odds of a continued upward trend are .

SPY moved above its 50-day moving average on June 29, 2026 date and that indicates a change from a downward trend to an upward trend.

Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where SPY advanced for three days, in of 366 cases, the price rose further within the following month. The odds of a continued upward trend are .

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

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Apple (NASDAQ:AAPL), Alphabet (NASDAQ:GOOG), Alphabet (NASDAQ:GOOGL), Microsoft Corp (NASDAQ:MSFT), Amazon.com (NASDAQ:AMZN), Broadcom Inc. (NASDAQ:AVGO), Meta Platforms (NASDAQ:META), Tesla (NASDAQ:TSLA), Micron Technology (NASDAQ:MU).

Industry description

The investment seeks to provide investment results that, before expenses, correspond generally to the price and yield performance of the S&P 500® Index. The trust seeks to achieve its investment objective by holding a portfolio of the common stocks that are included in the index (the “Portfolio”), with the weight of each stock in the Portfolio substantially corresponding to the weight of such stock in the index.

Market Cap

The average market capitalization across the State Street® SPDR® S&P 500® ETF ETF is 157.98B. The market cap for tickers in the group ranges from 4.16B to 4.91T. NVDA holds the highest valuation in this group at 4.91T. The lowest valued company is MKTX at 4.16B.

High and low price notable news

The average weekly price growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was 19%. For the same ETF, the average monthly price growth was 48%, and the average quarterly price growth was 271%. HPE experienced the highest price growth at 19%, while BLDR experienced the biggest fall at -12%.

Volume

The average weekly volume growth across all stocks in the State Street® SPDR® S&P 500® ETF ETF was -20%. For the same stocks of the ETF, the average monthly volume growth was -39% and the average quarterly volume growth was -27%

Fundamental Analysis Ratings

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

Valuation Rating: 51
P/E Growth Rating: 51
Price Growth Rating: 43
SMR Rating: 50
Profit Risk Rating: 59
Seasonality Score: 21 (-100 ... +100)
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