As stock trading continues to evolve rapidly, artificial intelligence (AI) has become a critical component for traders seeking a competitive edge. Tickeron, a leading provider of AI-driven stock trading tools, has made a significant leap forward by introducing its Virtual Accounts (VAs) – a new generation of AI Robots equipped with an intuitive and comprehensive risk management system. These pioneering Virtual Accounts offer traders and hedge funds a variety of advanced risk management tools, including adjustable trading balance and position size, loss limitation, and a hedging system.
Innovative AI Robots for Day Traders
Tickeron, Inc. releases a new suite of advanced trading robots specifically designed for day traders. These innovative robots harness Tickeron's proprietary Financial Learning Models (FLMs) and state-of-the-art fundamental analysis to enhance trading strategies. By focusing on high liquidity stocks and leveraging impulse price action, these robots seamlessly blend classical trading models with modern quantitative analytics.
At the heart of Tickeron's latest offerings are two prominent models that emphasize price impulse action and market volatility. These robots are engineered to exploit market volatility spikes of 5% or more, initiating trades that maximize profit opportunities. Designed for traders engaged in high-volatility markets and Technical Analysis (TA), these robots initiate all trades at the market opening, ensuring a structured and predictable trading routine. FLMs further augment the robots by analyzing vast amounts of historical financial data and current market conditions, providing accurate predictions of stock performance. The robots' continuous learning capabilities ensure they deliver up-to-date insights, granting users a strategic advantage in their trading decisions.
Advanced Risk Management with Virtual Accounts
A dedicated team of quantitative analysts at Tickeron has focused on developing a cutting-edge platform for the production of stock trading bots based on technical and fundamental analysis. Identifying the growing demand for AI Robots capable of delivering effective risk management solutions, the company leveraged its collection of efficient algorithms with positive alpha to create sophisticated money management models. This platform led to the introduction of the next generation of AI Robots – Virtual Accounts.
Virtual Accounts (VAs) equipped with AI Trading Bots allow users to adjust trading balance and position size options seamlessly. As a result, users can input the precise amount of money they hold in their brokerage accounts and allocate specific amounts for each trade. The innovative hedging system enables opening both long and short positions, giving users the flexibility to select the optimal level of protection against market downtrends.
Key Features and Benefits
Tickeron's Virtual Accounts mark a significant milestone in the company's history and reinforce its position as a leader in AI-powered trading tools. The groundbreaking risk management tools are game-changers for traders looking to navigate the complexities of the financial markets. They enable users to effectively simplify their trading activity by copying trades from VAs.
Tickeron's Evolution and Future Plans
History and Roadmap for Tickeron: Tickeron, a leading AI trading tool provider, has been relentlessly improving their product to enhance user experiences. Their innovative approach is organized into four stages of development, aimed at catering to the diverse needs of their customers.
In the first stage of development, Tickeron created a comprehensive suite of AI Engines that includes the Chart Pattern Screener (PSE) for Technical Analysis, AI Stock Prediction Engine (TPE) for Technical Analysis, Real Time Patterns (RTP) for Technical Analysis, Buy/Sell Daily Signals for Technical Analysis, and the Advanced Stock Screener for Fundamental Analysis. As users of these Engines expressed interest in seeing how they can be applied to stock trading, Tickeron responded by introducing unique AI Robots, marking the beginning of their Four Generation roadmap.
Currently, Tickeron is at the forefront of the Third Generation of AI Robot development. The First Generation of AI Robots, which provides signals, has been successfully deployed for a couple of years, allowing users to manually replicate trades from AI Robots (Signals only) to their brokerage accounts for real trades. The Second Generation of AI Robots, known as Virtual Accounts (VAs), was recently launched, enabling users to manually copy trades from the VAs to their brokerage accounts for seamless execution.
The highly anticipated Third Generation, slated for release in the coming months, will introduce the integration of VAs with brokerage accounts, allowing for the publication of real money trades. Users will have the flexibility to manually replicate trades from Tickeron's Real Money Accounts to their brokerage accounts for immediate execution.
Looking ahead, Tickeron's Fourth Generation, planned for release by the end of the year, will focus on further automation by connecting VAs directly to users' brokerage accounts for automatic (non-manual) trades. This cutting-edge feature will empower users with hassle-free, automated trade execution in their brokerage accounts, saving time and effort.
Pioneering the AI Trading Marketplace
Established as an algorithmic AI trading marketplace, Tickeron provides traders, investors, and proprietary neural network developers with state-of-the-art tools and resources. The company has developed a suite of advanced tools, such as Pattern Search Engine, Real-Time Patterns, and Trend Prediction Engine, which enable experienced traders to perform sophisticated financial market analysis.
As Tickeron's Virtual Accounts enter the trading world, it is crucial to understand the benefits they offer to traders with varying expertise levels. The advanced risk management tools embedded in these AI Robots provide numerous advantages to users, including:
Customizable Trading Parameters: Tickeron's Virtual Accounts enable traders to tailor their trading balance and position size according to their preferences and risk tolerance, allowing for better control over investments and potential loss mitigation.Hedging Strategies: The hedging system within Tickeron's Virtual Accounts allows users to open both long and short positions, optimizing protection against market downtrends and reducing the impact of adverse market movements on their portfolios.Trade Automation: AI Robots with Virtual Accounts streamline the trading process by allowing users to copy trades directly from the VAs. This automation saves time and effort while minimizing the possibility of human error in decision-making.Enhanced Risk Management: Tickeron's advanced risk management tools assist traders in effectively managing their investments, reducing the chances of significant losses and enabling more informed decision-making to improve overall portfolio performance.Adaptability: As financial markets continue to evolve, Tickeron's Virtual Accounts provide users with essential tools to adapt to the changing landscape. With AI-driven analytics, traders can better anticipate market trends and make strategic adjustments to their investments.Continuous Improvement: Tickeron's team of quants and neural network developers constantly refine their algorithms and AI Robots, integrating the latest advancements in artificial intelligence to ensure users have access to the most innovative trading tools and strategies available.
Conclusion
Tickeron's introduction of Virtual Accounts represents a significant development in the realm of AI-powered trading. By providing traders with customizable risk management tools, Tickeron's AI Robots enable users to navigate the complexities of the financial markets more effectively. The adoption of these advanced trading tools has the potential to revolutionize the way traders approach their investments, leading to more strategic decision-making and improved portfolio performance.
It is essential for potential users to note that Tickeron's detailed charts come with certain limitations, which can be reviewed on their website before making any investment. Additionally, Tickeron's investment advice is based on historical information, and past performance is not indicative of future results. Investing in securities carries significant risks, including the risk of losing the entire investment.
As AI continues to disrupt the financial industry, Tickeron's Virtual Accounts are well-positioned to become a valuable resource for traders seeking to enhance their trading capabilities. By remaining committed to innovation and providing users with state-of-the-art tools, Tickeron is poised to maintain its status as a leader in AI-driven trading solutions for years to come.
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This robot has been designed for active swing traders specializing in cryptocurrency trading, with a focus on identifying market reversal points. These traders prefer using traditional market analysis methods while also incorporating the latest advances in machine learning technologies.The robot's algorithm is based on trading classic models of technical analysis, with a specific emphasis on pinpointing reversal points in the market trend, such as "Head and Shoulders" and "Cup with Handle," among others. While these patterns have been established for years, many traders lack the tools needed to effectively identify and, more crucially, integrate them into their trading strategies. Leveraging artificial intelligence, Tickeron's quantitative analytics team has successfully tackled this problem by developing the most precise algorithm for detecting patterns as they emerge and the optimal approach for combining various pattern types.The typical trade duration is short, lasting only 2 days. The cryptocurrency market is known for its heightened volatility and strong reaction to news, leading to more frequent trend reversals compared to regular stock markets. As a result, the number of simultaneously open trades can exceed 100. However, thanks to a unique algorithm for assessing the quality of turning points, the vast majority of these trades—76%—are closed with a profit, making this robot an effective tool for crypto swing traders.Once a trade is initiated, a "Take Profit" order is placed at the target price level determined by machine learning algorithms. Additionally, this algorithm determines when a pattern is considered expired, and the trade will be closed if the target price is not reached. Multi-level backtests demonstrate that this approach allows the robot to swiftly close profitable trades.Additionally, we offer our users a manual way to determine the level of exit from a trade that is acceptable to them. On the "Open Trades" tab, for each trade the profit amount is highlighted in a certain color. If the “Profit” column is gray, this means that the loss on the position is moderate and does not exceed 5%. If the color is red, then the risk is already significant and exceeds 5%. This makes it easy to visually determine the overall value of a risk based on open trades.The robot's trading results are shown without using a margin. For a full trading statistics and equity chart, click on the "show more" button on the robot page. In the tab "Open Trades", a user can see live how the AI Robot selects equities, enters, and exits in paper trades. In the tab "Closed trades", a user can review all previous trades made by the AI Robot.Disclaimer. The presented paper traded results (annualized returns, % wins/loss, and other statistics) are achieved by the application of the backtested and forward tested models. The past backtested and forward tested performance should not be taken as an indication or guarantee of future performance, and no representation or warranty, expressed or implied is made regarding future performance. Forward testing started on 07.04.2023.
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In the ever-evolving landscape of real time trading, the integration of artificial intelligence (AI) with classical technical analysis represents a significant leap forward. At the forefront of this revolution are trading robots, equipped with sophisticated pattern recognition algorithms that have the ability to sift through vast amounts of market data in real time. These algorithms leverage machine learning techniques to detect notable chart patterns such as the Cup and Handle, Flag, and Head and Shoulders, each with unique characteristics that signal potential future price movements. This article delves deeper into the intricacies of real time patterns, their historical significance, and the pivotal role they play in modern trading strategies empowered by AI.
The Cup and Handle Pattern
Historical Context and Characteristics: The Cup and Handle pattern, first brought into prominence by William J. O'Neil in 1988 through his seminal work, is characterized by its resemblance to a teacup. This pattern is formed by a price consolidation that leads to a "cup" formation, followed by a smaller pullback that forms the "handle". The completion of this pattern, with a breakout above the handle, is seen as a bullish signal indicating a potential upward price movement.

Key Points for Traders:
Formation Duration: The pattern can take anywhere from several weeks to a year to form, making it applicable across a range of time frames.Volume Analysis: A key to its confirmation is a noticeable decrease in volume during the handle's formation, followed by a significant increase upon the breakout.Depth and Shape: The depth of the cup and the roundness of its bottom are critical. A shallower cup suggests less volatility and a stronger signal, while a more rounded bottom indicates a solid consolidation period.
The Flag Pattern
Dynamics and Interpretation: Emerging during a strong, directional price movement, the Flag pattern resembles its namesake, consisting of a swift and steep price move forming the "flagpole," followed by a short consolidation phase that creates the "flag." This pattern is a continuation signal, suggesting that the prior trend is likely to resume after the breakout from the consolidation.

Key Points for Traders:
Pattern Validity: For a Flag pattern to be considered valid, the consolidation should not retrace more than 50% of the flagpole.Time Frame: This pattern generally forms over a short period, from a few days to a few weeks, making it ideal for short-term trading strategies.Volume Consideration: Volume should diminish during the flag's formation and increase significantly upon the breakout, confirming the continuation of the trend.
The Head and Shoulders Pattern
Description and Trading Implications: The Head and Shoulders pattern is a reversal indicator, recognized by its three peak formations - a higher peak (head) flanked by two lower ones (shoulders). This pattern signals the end of an uptrend and the beginning of a downtrend, providing a strategic entry point for traders looking to capitalize on this shift.

Key Points for Traders:
Pattern Duration: A longer formation period increases the reliability of the pattern.Volume Trends: Ideally, volume decreases during the formation of the right shoulder and increases as the price breaks below the neckline, reinforcing the reversal signal.Target Projection: The distance from the head to the neckline can be projected downward from the breakout point to estimate the potential decline in price.
AI in Real Time Pattern Recognition
The advent of real-time pattern recognition in stock trading has marked a pivotal shift in how market participants approach decision-making and strategy formulation. Traditional patterns like the "Head and Shoulders," "Cup and Handle," and the "Flag" are now being identified in the moment, offering traders a significant edge. This immediate recognition facilitates timely decisions, enabling traders to seize transient market opportunities that would otherwise slip by unnoticed. Beyond the obvious advantages of speed, this technology plays a crucial role in risk management by providing real-time alerts on emerging patterns, thereby allowing traders to implement proactive strategies to mitigate potential losses.

The integration of AI-driven pattern recognition systems has revolutionized the trading landscape, freeing traders from the time-consuming task of manual analysis. This automation not only enhances efficiency but also allows traders to dedicate more time to the development of sophisticated strategies. Furthermore, the ability to align these real-time patterns with other market indicators significantly reinforces the confidence in decision-making processes, ensuring that strategies are not just reactive but are backed by a comprehensive analysis.

Precision in identifying the exact moments for trade entry and exit is another standout benefit, leading to improved outcomes in trades. Additionally, adaptability to the ever-changing market conditions is enhanced, ensuring that the trading strategies remain relevant and effective. In essence, real-time pattern recognition is not just a tool for enhancing individual trades; it represents a transformative approach to trading, where efficiency, risk management, and strategic adaptability converge to create a more dynamic and responsive trading environment.

Sergey Savastiouk, with a Ph.D. and serving as the CEO and Founder of Tickeron, highlighted the difficulty of crafting effective trading strategies for beginner traders. He noted that this involves more than just creating a proficient trading algorithm; it also necessitates making it extremely accessible to users. Leveraging their significant expertise in creating trading robots, they have risen to this challenge by offering beginner traders a diverse selection of robots tailored to their needs.
Conclusion
The Cup and Handle, Flag, and Head and Shoulders patterns have stood the test of time as powerful tools for traders, offering insights into potential market movements. With the integration of AI and machine learning, the process of identifying these patterns has been revolutionized, allowing traders to act on reliable signals with greater speed and precision. However, it's crucial for traders to remember that no pattern or system can guarantee success on its own. Combining these patterns with other forms of analysis and maintaining a disciplined trading strategy are essential steps toward achieving long-term success in the financial markets.
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