Tickeron, a leader in AI-powered financial analytics, proudly introduces its upgraded Pattern Search Engine (PSE) — an intelligent screener designed to detect chart patterns across stocks, ETFs, penny stocks, crypto, and forex with ease and precision.
With a simple workflow — set criteria, receive patterns, bookmark, and track performance — users gain instant access to actionable trade setups.
Start your free 14-day trial, then continue for just $30/month at Tickeron.com — click “Try Now.”
“TRY NOW”.

Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)
Simplified Workflow for Smarter Pattern Trading
The enhanced PSE turns complex pattern analysis into a streamlined, intuitive process:
Choose your criteria — asset class, price range, confidence level, and pattern types.
Monitor your feed — receive automatically identified chart patterns.
Bookmark key setups — track breakout, target, and live status.
Stay informed — get notifications via email or push alerts.
It’s truly “set-and-receive” intelligence — no complicated setup required, just focused insights powered by AI.

Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)
Sophisticated Pattern Trading Meets AI
Trading chart patterns remains one of the most advanced strategies in equities and derivatives markets because it exploits the psychology of market participants and combines it with structural insights. The new PSE uses artificial intelligence to uncover these hidden dynamics and deliver them in a usable feed.
By leveraging the PSE, users are taught by AI to recognize classic patterns and their likely entry and exit points. Every day, the PSE scans thousands of symbols — stocks, ETFs, penny stocks, crypto, forex — for 39 distinct pattern types, including:

Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)

Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)
You can filter by asset class (Stocks, Penny Stocks, ETFs, Forex) and by confidence level, price range, and other custom settings. The more filters you apply, the fewer but higher-quality trade ideas you receive.
Why the Pattern Search Engine Stands Out
Covers 39 pattern types across multiple asset classes
AI-generated confidence, breakout, and target metrics
Fully customizable filters — price range, asset class, and confidence level
Real-time notifications and bookmarking features
Free 14-day trial, then just $30/month
Powered by Tickeron’s proprietary AI/ML infrastructure and Financial Learning Models (FLMs)
Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)

Product Ecosystem: From Patterns to Real-Time Agents
Tickeron offers a full suite of AI-powered trading tools. Key products include:
Beyond tools, Tickeron offers automated trading and copy-trading via its AI Robots and trading Agents:
Tickeron’s AI Agents are advanced trading entities that leverage proprietary FLMs and machine-learning intervals (5-, 15- and 60-minute cycles) to deliver precision entries and exits across asset classes. Users can choose from Signal Agents (for alerts), Virtual Agents (simulated portfolios) and Brokerage Agents (live trade integration). With these agents, the company bridges institutional-grade execution with retail accessibility.
Recent Market Context & News
Today’s market is micro-shifting rapidly, and PSE is optimally positioned to capture those changes. For example:
These market movements emphasize the importance of pattern recognition and AI-driven timing — exactly the problem PSE is designed to address.
Pricing and Free Trial
Start your free 14-day trial today at Tickeron.com.
Continue afterward for just $30/month — simple pricing for advanced AI capabilities.
Empowering Traders with AI-Driven Simplicity
The Pattern Search Engine gives traders an elegant yet powerful workflow: continuous scanning, AI-calculated breakout and target levels, confidence metrics, and instant alerts.
Whether trading stocks, ETFs, penny stocks, crypto, or forex, users receive institutional-level pattern insights at retail cost.
By filtering by pattern type, confidence, price range, or asset class, traders focus only on the highest-probability setups — not the noise.
Powered by Financial Learning Models (FLMs)
At the core of PSE lies Tickeron’s Financial Learning Models (FLMs) and Machine Learning Models (MLMs), trained on massive datasets across multiple timeframes (5, 15, and 60 minutes).
These models analyze price action, volume, sentiment, and macro data to detect emerging structures and forecast breakout potential.
Internal tests confirm that shorter ML cycles improve timing accuracy by 20–30%, significantly boosting signal quality.
About Tickeron
Tickeron is a leading AI financial technology company developing intelligent tools for traders and investors.
Powered by proprietary Financial Learning Models (FLMs), Tickeron delivers real-time analytics, pattern recognition, and predictive trading insights across multiple asset classes.
Visit tickeron.com and follow us on Twitter/X at @Tickeron for updates.
Screener for Stock Chart Patterns ᐉ Pattern Search Engine (PSE)
The Aroon Indicator for TSLA entered a downward trend on June 17, 2026. Tickeron's A.I.dvisor identified a pattern where the AroonDown red line was above 70 while the AroonUp green line was below 30 for three straight days. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options. A.I.dvisor looked at 193 similar instances where the Aroon Indicator formed such a pattern. In of the 193 cases the stock moved lower. This puts the odds of a downward move at .
The 10-day RSI Indicator for TSLA moved out of overbought territory on May 15, 2026. This could be a bearish sign for the stock. Traders may want to consider selling the stock or buying put options. Tickeron's A.I.dvisor looked at 32 similar instances where the indicator moved out of overbought territory. In of the 32 cases, the stock moved lower in the following days. This puts the odds of a move lower at .
The Momentum Indicator moved below the 0 level on June 05, 2026. You may want to consider selling the stock, shorting the stock, or exploring put options on TSLA as a result. In of 82 cases where the Momentum Indicator fell below 0, the stock fell further within the subsequent month. The odds of a continued downward trend are .
The Moving Average Convergence Divergence Histogram (MACD) for TSLA turned negative on June 01, 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 46 similar instances when the indicator turned negative. In of the 46 cases the stock turned lower in the days that followed. This puts the odds of success at .
TSLA moved below its 50-day moving average on June 17, 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 TSLA 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 Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 52 cases where TSLA's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that 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 TSLA advanced for three days, in of 342 cases, the price rose further within the following month. The odds of a continued upward trend are .
TSLA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
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. TSLA’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating well-balanced risk and returns. The average Profit vs. Risk Rating rating for the industry is 92, placing this stock slightly better than average.
The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is significantly overvalued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
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 (17.699) is normal, around the industry mean (9.348). P/E Ratio (363.651) is within average values for comparable stocks, (581.897). Projected Growth (PEG Ratio) (5.663) is also within normal values, averaging (2.886). TSLA has a moderately low Dividend Yield (0.000) as compared to the industry average of (0.038). P/S Ratio (14.306) is also within normal values, averaging (12.906).
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating weak sales and an unprofitable 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 average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a manufacturer of electric sports cars
Industry MotorVehicles