The Tickeron quant team is delighted to introduce our best robot of the week tailored for Trend Traders. Our sophisticated AI Robot, has been designed for manual trading enthusiasts who value independent signal selection. Known for its consistent predictions, the robot excels in capitalizing on uptrends for optimal gains and employs advanced hedging for profitability during market corrections. Achieving an impressive success rate in profitable long trades last week, it stands as a powerful tool for navigating and capitalizing on market trends.
Trend Trader, Popular Stocks: Price Action Trading Strategy (TA&FA)
Click to view full description and closed trades for free!
Here are some highlights for the Best Robot of the Week.
Strategic Entry Points:
The analysis focuses on identifying ideal entry points using proprietary indicators that evaluate both medium-term and short-term trends. This method accommodates both long and short positions, tailoring strategies to suit each scenario and ensuring maximal gains during uptrends.
Long and Short Position Strategies:
For long positions, a pragmatic approach includes a fixed take profit of 5% and a medium-term trailing stop. Conversely, short positions employ a distinct strategy with a fixed take profit of 3% and a dynamically adaptive trailing stop, facilitating gains from short-term market fluctuations.
Selective Stock Trading:
We opt for the most liquid and actively traded stocks within the dynamic US stock market, streamlining trade execution at desired entry points. Our decision-making is informed by fundamental indicators, steering clear of shares with subpar business quality to minimize exposure to potential risks.
Here are the latest trades:
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.