Go to the list of all blogs
Arthur Evans's Avatar
published in Blogs
Sep 10, 2025
Discover 39 AI-Detected Trading Patterns with Tickeron’s PSE

Discover 39 AI-Detected Trading Patterns with Tickeron’s PSE

Tickeron, a leader in AI-driven financial tools, today announced the launch of its advanced Pattern Search Engine (PSE), a revolutionary platform that scans 39 distinct trading patterns across stocks, penny stocks, ETFs, crypto, and forex. Designed for traders seeking to harness the psychology of market movements, PSE leverages artificial intelligence to identify hidden opportunities, providing actionable insights on entry and exit points with unprecedented accuracy. New users can try PSE for free for 14 days, followed by a subscription of just $30 per month.

Revolutionizing Pattern Trading with AI Intelligence

Trading patterns represent one of the most sophisticated strategies in the financial markets, exploiting the behavioral psychology of participants and capitalizing on deep market insights. In an era of increasing volatility, manual pattern recognition can be overwhelming and error-prone. Enter Tickeron’s Pattern Search Engine (PSE): an AI-powered tool that automates the discovery of these elusive formations, teaching users to spot them effortlessly while delivering real-time signals for buy and sell decisions.

Powered by Tickeron’s proprietary Financial Learning Models (FLMs), PSE integrates machine learning with technical analysis to scan thousands of charts daily. This ensures traders never miss a potential breakout, whether in high-volume stocks or niche forex pairs. “Technical analysis is crucial for navigating market volatility,” said Sergey Savastiouk, Ph.D., CEO of Tickeron. “Through our FLMs, we blend AI with proven methodologies, enabling traders—from beginners to experts—to detect patterns with greater precision and make data-backed decisions that enhance transparency and control.”

Seamless Operation: From Setup to Insights

Operating PSE is remarkably straightforward, making it accessible even for those new to AI-assisted trading. Users begin by setting up personalized search criteria, including confidence levels, price ranges, and preferred asset classes such as stocks, ETFs, or forex. Once configured, patterns appear directly in your customized feed, where you can bookmark them for ongoing tracking. Notifications via email or push alerts keep you informed of developments, ensuring you stay ahead without constant monitoring.

The more filters applied—such as minimum volume or specific sectors—the more refined the results, generating fewer but higher-quality trade ideas. PSE’s AI handles the heavy lifting, analyzing end-of-day price data to flag opportunities across 39 pattern types. This customization empowers users to tailor the tool to their risk tolerance and strategy, transforming complex market analysis into an intuitive process.

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

Comprehensive Pattern Library: Bullish and Bearish Opportunities

At the heart of PSE is its extensive library of 39 patterns, categorized into bullish and bearish formations, each backed by detailed statistics on historical performance. Bullish patterns like the Cup-and-Handle, Head-and-Shoulders Bottom, and Triple Bottoms signal potential upward reversals, while bearish ones such as the Broadening Top and Triangle Descending indicate selling pressure.

Key patterns include:

  • Broadening Bottom and Top: Expanding price ranges that often precede trend reversals.
  • Broadening Wedge Ascending/Descending: Volatility-building wedges offering breakout trades.
  • Flag and Pennant: Continuation patterns ideal for momentum plays.
  • Rectangle Bottom/Top: Consolidation zones with clear support and resistance.
  • Three Rising Valleys and Triangle Ascending: Gradual bullish buildups.
  • Wedge Falling/Rising and Channel Up: Trend-channel exploits for steady gains.

For each detected pattern, PSE delivers breakout prices, predicted target levels, confidence scores, and backtested stats like win rates and annualized returns. This data-driven approach demystifies pattern trading, allowing users to evaluate risks and rewards before acting.

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

How PSE Works: AI-Driven Discovery and Execution

PSE’s workflow is elegantly simple: Select your assets (stocks, penny stocks, ETFs, crypto, or forex), choose the patterns to track, and set your minimum confidence threshold. The AI then performs exhaustive scans, identifying matches and computing advanced metrics. Breakout alerts trigger when prices confirm the pattern, complete with target projections based on historical analogs.

Unlike traditional charting tools, PSE’s AI “teaches” through visualizations and explanations, helping users recognize entry/exit points intuitively. For those preferring hands-off automation, Tickeron’s AI Robots—such as beginner-friendly swing traders—offer pre-configured strategies with minimal daily trades. Purchasing one or more robots grants credits worth $60 or $120 monthly, effectively making PSE free when bundled.

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

Accessibility and Support: Free Trial and Expert Guidance

Getting started is risk-free with a 14-day free trial—simply visit Tickeron’s platform and click “TRY NOW.” Post-trial, the $30/month subscription unlocks unlimited access, far surpassing the value of manual analysis services. For support, Tickeron provides 24/7 customer service, educational webcasts, video tutorials, and personalized 1-on-1 lessons to build confidence in pattern trading.

Whether you’re a day trader eyeing crypto volatility or a long-term investor in ETFs, PSE levels the playing field by democratizing AI insights.

Important Disclaimers: Understanding Performance Realities

All simulated results, including annualized returns, win/loss percentages, and other statistics, stem from backtested models applied retroactively with hindsight benefits. Backtesting differs from live trading, as strategies may be adjusted dynamically, and alternative assumptions could yield varied outcomes. Past hypothetical results do not guarantee future performance; actual results will differ based on market conditions. Tickeron makes no warranties regarding future returns, and users should consult professionals before trading.

Tickeron is at the forefront of AI in finance, offering tools like PSE and FLMs to empower traders with intelligent, transparent solutions. By combining Sergey Savastiouk’s expertise in quantitative finance with cutting-edge AI, Tickeron helps users navigate complex markets with confidence. For more information, visit www.tickeron.com.

Disclaimers and Limitations

Related Ticker: TSLA, AAPL

TSLA in upward trend: price may jump up because it broke its lower Bollinger Band on June 10, 2026

TSLA may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In of 38 cases where TSLA's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are .

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Momentum Indicator moved above the 0 level on July 08, 2026. You may want to consider a long position or call options on TSLA as a result. In of 82 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 TSLA just turned positive on June 30, 2026. Looking at past instances where TSLA's MACD turned positive, the stock continued to rise in of 49 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 TSLA advanced for three days, in of 339 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 64 cases where TSLA's Stochastic Oscillator exited the overbought zone, the price fell further within the following month. The odds of a continued downward trend are .

TSLA moved below its 50-day moving average on July 07, 2026 date and that indicates a change from an upward trend to a downward trend.

The 10-day moving average for TSLA crossed bearishly below the 50-day moving average on June 18, 2026. This indicates that the trend has shifted lower and could be considered a sell signal. In of 15 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 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 Aroon Indicator for TSLA 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.

Fundamental Analysis (Ratings)

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 94, placing this stock slightly better than average.

The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating slightly better than average sales and a considerably 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 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 (17.606) is normal, around the industry mean (9.276). P/E Ratio (361.523) is within average values for comparable stocks, (581.754). Projected Growth (PEG Ratio) (4.938) is also within normal values, averaging (2.795). TSLA has a moderately low Dividend Yield (0.000) as compared to the industry average of (0.038). P/S Ratio (14.225) is also within normal values, averaging (14.939).

Notable companies

The most notable companies in this group are Tesla (NASDAQ:TSLA), General Motors Company (NYSE:GM), Ford Motor Company (NYSE:F), NIO Inc. (NYSE:NIO).

Industry description

Automobiles continue to be arguably the most popular form of passenger travel in the U.S., and major automobile makers have revenues and market capitalizations running into multi-billions. In recent years, the industry has been experiencing some path-breaking innovations like electric vehicles and self-driving technology. While there are long-standing companies like General Motors, Ford, and Toyota Motors operating in this space, there are also emerging/rapidly growing players like Tesla – which has had a major role in the growing popularity of the electric vehicle market. With technological advancements taking steam in the auto space, we’ve also witnessed collaborations (or talks of potential partnerships) of carmakers with tech behemoths like Google’s subsidiary, Waymo.

Market Cap

The average market capitalization across the Motor Vehicles Industry is 65.02B. The market cap for tickers in the group ranges from 3.72K to 1.48T. TSLA holds the highest valuation in this group at 1.48T. The lowest valued company is ZAPPF at 3.72K.

High and low price notable news

The average weekly price growth across all stocks in the Motor Vehicles Industry was -3%. For the same Industry, the average monthly price growth was -7%, and the average quarterly price growth was -17%. LOBO experienced the highest price growth at 11%, while LVWR experienced the biggest fall at -28%.

Volume

The average weekly volume growth across all stocks in the Motor Vehicles Industry was 13%. For the same stocks of the Industry, the average monthly volume growth was -2% 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: 56
P/E Growth Rating: 60
Price Growth Rating: 63
SMR Rating: 93
Profit Risk Rating: 93
Seasonality Score: 3 (-100 ... +100)
View a ticker or compare two or three
TSLA
Daily Signal:
Gain/Loss:
Interact to see
Advertisement
A.I.Advisor
published price charts
Last 5 trading days
A.I. Advisor
published General Information

General Information

a manufacturer of electric sports cars

Industry MotorVehicles

Profile
Details
Industry
Motor Vehicles
Address
1 Tesla Road
Phone
+1 512 516-8177
Employees
140473
Web
https://www.tesla.com
Interact to see
Advertisement
Aon plc (AON) reported third-quarter 2025 revenue of $3.997 billion, representing a 7% year-over-year increase with equal organic growth. Adjusted earnings per share came in at $3.05, exceeding expectations. In late November, Moody’s reaffirmed Aon’s Baa2 credit rating and revised the outlook to positive, citing reduced leverage following the NFP acquisition.
Air Products and Chemicals, Inc. (APD) entered the spotlight after announcing advanced discussions with Yara International on December 8 to collaborate on low-emission ammonia projects. While the strategic direction aligns with global decarbonization trends, uncertainty around execution and capital requirements triggered a 9.45% one-day decline in the stock.
Lockheed Martin and RTX Corporation are two of the most prominent names in the aerospace and defense industry, both positioned to benefit from heightened global security concerns and sustained U.S. military spending.
As 2025 winds down, the Savings Banks sector reflects a mix of stability, innovation, and AI-driven disruption. Among the most closely watched tickers—SOFI Technologies (SOFI), Ally Financial (ALLY), and PayPal Holdings (PYPL)—investors have witnessed contrasting stories of growth, valuation, and market perception.
Ondas Holdings (ONDS) is a wireless technology company focused on delivering secure, long-range communications for industrial Internet of Things (IoT) and data networking applications. Its solutions are built to support mission-critical operations across sectors such as rail, energy, maritime, infrastructure, and industrial automation.
Ciena’s growth is driven by expanding offerings in optical networking, network automation software, and 5G transport infrastructure, complemented by services designed to help customers modernize and future-proof their networks. Its evolving technology portfolio addresses the rising complexity, speed, and reliability requirements of today’s communications environment.
Marathon Digital Holdings (MARA) and Riot Platforms (RIOT) are two leading companies in the Bitcoin mining industry, each operating energy-intensive infrastructure to capitalize on cryptocurrency market cycles. This comparison is especially relevant amid ongoing Bitcoin price volatility and growing interest in digital assets and AI-related infrastructure.
Roivant Sciences has delivered strong year-to-date performance, with shares up roughly 82%, driven by encouraging pipeline developments and increased investment in high-potential subsidiaries such as Immunovant.
MP Materials Corp. (MP) and USA Rare Earth, Inc. (USAR) are central to the United States’ push to establish a secure, domestic supply of rare earth elements—materials critical to electric vehicles, renewable energy, and defense technologies. As geopolitical tensions and supply chain vulnerabilities intensify, these two companies offer distinct approaches to addressing U.S. dependence on foreign sources.
The Invesco QQQ Trust (NASDAQ: QQQ) remains one of the most closely followed ETFs worldwide, offering investors direct exposure to the NASDAQ-100 Index®. In the most recent data, QQQ has gained a notable +20.16% year-to-date, even as markets experienced bouts of elevated volatility.
Sidus Space has expanded its portfolio in 2025, focusing on satellite missions and supporting technologies to enhance space infrastructure. Key product advancements include the LizzieSat platforms, with multiple units progressing in design and manufacturing. LizzieSat-3 is set for launch no earlier than Q1 2025, building on prior missions to boost data capabilities for clients in Earth observation and communication.
As 2025 comes to a close, Dingdong (Cayman) Limited (DDL) continues to strengthen its position in China’s competitive fresh grocery e-commerce market. Operating from Shanghai, the company focuses on high-quality fresh produce, ready-to-eat meals, and daily essentials delivered directly to consumers. Throughout the year, Dingdong emphasized private-label expansion, supply-chain optimization, and fulfillment network growth—initiatives that supported improving quarterly performance and positioned the company for sustained momentum.
Pioneer Power's 2025 highlights include the expansion of its mobile power and charging footprint with new orders and partnerships; the launch of a new suite of e-Boost solutions for off-grid EV charging; the rebranding of HomeBoost as PowerCore with events in December; the introduction of PRYMUS in December; and a new five-year contract for network transformers with a regional utility provider.
An AI-driven comparison between Palantir (PLTR) and Oracle (ORCL) points to Palantir as the more compelling investment heading into 2026. The analysis highlights PLTR’s AI-native platforms, which enable real-time, data-driven decision-making across fast-growing sectors such as government, defense, and enterprise analytics.
An AI-driven comparison between D-Wave Quantum (QBTS) and IonQ (IONQ) points to IonQ as the stronger opportunity heading into 2026. The analysis highlights IONQ’s gate-based, trapped-ion quantum architecture, which supports a wide range of algorithms and positions the company for broader adoption across AI, simulation, and cryptography.
An AI-driven comparison of Rigetti Computing (RGTI) and D-Wave Quantum (QBTS) points to Rigetti as the more compelling opportunity heading into 2026. The analysis highlights RGTI’s gate-based quantum architecture, which supports universal quantum computing and a wide range of complex algorithms. While D-Wave remains a leader in quantum annealing for optimization problems, Rigetti’s full-stack, gate-based approach offers greater scalability and broader long-term applications.
An AI-driven comparison of Rigetti Computing (RGTI) and TeraWulf (WULF) points to TeraWulf as the more attractive investment heading into 2026. The analysis emphasizes WULF’s large-scale digital infrastructure supporting Bitcoin mining and high-performance computing (HPC), which generates immediate revenue in expanding digital asset and AI-driven markets.
An AI-driven comparison between Rocket Lab USA (RKLB) and Planet Labs (PL) identifies Rocket Lab as the more compelling investment heading into 2026. The analysis highlights RKLB’s vertically integrated space services and consistent launch performance, which position the company to benefit from rising demand for satellite deployment and space infrastructure.
An AI-driven comparison of Tempus AI (TEM) and Doximity (DOCS) points to Tempus AI as the more compelling investment opportunity heading into 2026. The analysis highlights TEM’s AI-powered precision medicine platform, which applies advanced analytics and genomic data to transform diagnostics and treatment in oncology and cardiology.