Tickeron Revolutionizes Profitable Trading with AI-Driven Trend Prediction Engine (TPE)
Tickeron presents a groundbreaking tool for investors to enhance their profitability – the Trend Prediction Engine (TPE) powered by Artificial Intelligence (AI). The TPE leverages historical trends to predict potential increases, decreases, or stagnations in a stock's price, thus offering guidance on whether to buy, sell, or hold. Tickeron provides an opportunity to identify bullish and bearish trends among 7,000 stocks, 10,000 OTC stocks, 3,000 ETFs, and 14,000 Mutual funds.
In 2023, there is no superior method for profit generation from trend trading than using TPE. Tickeron combines AI's capabilities with a user-friendly interface, providing anyone interested in successful trend trading an efficient new strategy promising long-term success.
Maximize Trend Trading Success with Tickeron
Seasoned investors acknowledge that due to its simplicity, trend trading often yields the highest profits. Instead of aiming for a specific price, investors predict whether a particular asset’s price will rise or fall, and then act based on those predictions.
Before the introduction of Tickeron’s TPE, investors had to discern an asset’s price trend themselves and make predictions susceptible to human error. Now, Tickeron’s AI scrutinizes historical data, providing clear investment decisions for investors.
Tickeron's TPE stands out by offering back-tested data, thereby validating trading strategies and their probability of success. This, coupled with the main feature of real-time stock trend identification, allows users to see the AI's confidence in its predictions, providing statistics on the likelihood of a certain trend. For interactive viewing of backtested results, visit: https://tickeron.com/stock-tpe/?utm_source=TickerOn&utm_campaign=TopMenu.
Enhanced Accuracy and Risk Mitigation with TPE
Trend traders need quick information about whether to take a long position expecting a rise in stock price, or a short position expecting a drop. TPE, leveraging the power of AI, can provide this information promptly, enabling users to make better-informed investing decisions.
A fluctuating price does not necessarily indicate a continuing trend. TPE examines historical data to provide a confidence level for each asset, expressed as a percentage. This confidence level can guide decisions and allow the user to determine the acceptable risk level for a trade.
TPE includes a filter to identify potential trades with a minimum confidence of 55%, a level that can be adjusted by the user in TPE’s settings. A lower risk level generally indicates a lower potential return, thus users preferring safety will require a higher confidence level. Conversely, those willing to accept higher risk for a larger potential return will settle for a lower confidence level.
Tickeron integrates confidence level adjustment functionality into its TPE, enabling users to set the minimum confidence levels based on their acceptable risk. This makes TPE a truly customizable tool, ready for immediate use.
Customized Trading with TPE
Customization in TPE extends beyond confidence level settings. Users can modify settings by asset class, such as stocks, forex, cryptocurrencies, ETFs, penny stocks, or mutual funds. They can also adjust settings by price level, market cap, and more to suit their budgets.
These filters can streamline investment decision-making. Alternatively, users can set the tool without filters to obtain the maximum number of suggestions and then make decisions based on the most appealing assets. Regardless of the investor type, TPE provides unparalleled information.
Sergey Savastiouk, Ph.D., CEO and Founder of Tickeron says, “Our proprietary 'Odds of Success' formula distinguishes this tool. Users can see the exact likelihood of an asset continuing or reversing its price trend. This empowers investors to excel in this form of trading. We've received excellent user feedback from our TPE users, and we're thrilled to see them profiting from this efficient strategy."
Make More Informed Investment Decisions with TPE
Interested investors can avail a 14-day free trial of TPE by visiting Tickeron’s product page. Here, users can set up push notifications via email or directly on the TPE website to receive alerts tailored to their preferences. Tickeron also provides direct customer support, 1-on-1 coaching, webinars, and other educational resources on their website.
Savastiouk elaborates, “The underlying principle here is simplicity. Before TPE, trend prediction involved a complex and time-consuming process of analyzing historical data. AI is an ideal partner for this kind of trading—by analyzing previous price trends, we can suggest where the price might head next. We go above and beyond our competitors by offering confidence level percentages, allowing investors to truly control their risk tolerance and decide on the strategies they wish to pursue.”
To learn more, visit: https://tickeron.com/ or contact Tickeron at 1-844-348-7267. Their office is located at 200 S.Virginia St. 8th Floor, Reno, NV 89501.
Tickeron's Offerings
The fundamental premise of technical analysis lies in identifying recurring price patterns and trends, which can then be used to forecast the course of upcoming market trends. Our journey commenced with the development of AI-based Engines, such as the Pattern Search Engine, Real-Time Patterns, and the Trend Prediction Engine, which empower us to conduct a comprehensive analysis of market trends. We have delved into nearly all established methodologies, including price patterns, trend indicators, oscillators, and many more, by leveraging neural networks and deep historical backtests. As a consequence, we've been able to accumulate a suite of trading algorithms that collaboratively allow our AI Robots to effectively pinpoint pivotal moments of shifts in market trends.
Contributor
Sergey Savastiouk, Ph.D. has a degree in Applied Mathematics from Moscow University and has extensive experience as an entrepreneur, investor, manager, and mathematician. His professional expertise is in applied mathematics, mathematical modeling, system and pattern analysis, and software and hardware system integration. He has served as the CEO of several hi-tech start-up companies and nonprofit organizations, which has given him proven capabilities in business strategy for high-tech start-up companies, market assessment, company formation, team building, product development, marketing, and sales. He has published numerous articles in journals and magazines on related fields. As a retail investor, he spent 15 years developing his proprietary trading and quantitative algorithms (now Tickeron’s A.I.), which brought him significant returns in trading the stock market. His current work and goal in founding Tickeron is to bring professional, sophisticated stock market analysis capabilities to retail investors via an easy-to-use interface.
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