Tickeron Revolutionizes AI-Driven Trading with the Release of a Double Agent Trading Bot for CRS and SOXS
By: Tickeron
NEW YORK - May 23, 2025 - PRLog -- Innovative AI Trading Solution Launched
Tickeron, a leader in AI-powered financial solutions, proudly announces the launch of its Double Agent Trading Bot, designed for trading Carpenter Technology Corporation (CRS) and Direxion Daily Semiconductor Bear 3x Shares (SOXS). This advanced algorithm leverages Financial Learning Models (FLMs) to deliver dynamic, dual-strategy trading, empowering investors to capitalize on market trends with precision and minimal risk.
Dual-Strategy Approach for Maximum Flexibility
The Double Agent Trading Bot operates as a swing trader, utilizing pattern-based trading across H1, M30, and H4 timeframes, with Daily timeframe filters for exit signals. It manages up to six open trades simultaneously, employing two specialized agents: a Momentum Agent for bullish trends in CRS and an Inverse Agent for bearish opportunities in SOXS. This dual-agent system ensures profitability in both upward and downward markets, making it ideal for traders of all experience levels.
Advanced Technical Features
Built on Tickeron's AI-driven framework, the bot integrates proprietary algorithms and FLMs for enhanced pattern recognition and noise filtering. It uses intraday movements for trade entries and higher timeframe signals for precise exits, optimizing returns while minimizing risk. Automated execution and robust risk controls, including seamless transitions between agents, reduce drawdowns and enhance resilience in volatile markets.
Empowering Traders with AI Innovation
Under the leadership of CEO Sergey Savastiouk, Tickeron continues to pioneer AI integration in financial markets. The Double Agent Trading Bot offers real-time insights, high-liquidity stock and ETF trading, and beginner-friendly automation, ensuring fast execution and transparency. By combining advanced technical analysis with machine learning, Tickeron sets a new standard for AI-driven trading.
Availability and Access
The Double Agent Trading Bot is now available through Tickeron's platform.
For more information on Tickeron's AI trading solutions, visit https://tickeron.com/bot-trading/virtualagents/all/
SOXS's RSI Oscillator ascending out of oversold territory
The RSI Oscillator for SOXS moved out of oversold territory on October 10, 2025. This could be a sign that the stock is shifting from a downward trend to an upward trend. Traders may want to buy the stock or call options. The A.I.dvisor looked at 40 similar instances when the indicator left oversold territory. In of the 40 cases the stock moved higher. This puts the odds of a move higher at .
Technical Analysis (Indicators)
Bullish Trend Analysis
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 2 days, which means it's wise to expect a price bounce in the near future.
The Moving Average Convergence Divergence (MACD) for SOXS just turned positive on October 14, 2025. Looking at past instances where SOXS'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 +2 3-day Advance, the price is estimated to grow further. Considering data from situations where SOXS advanced for three days, in of 270 cases, the price rose further within the following month. The odds of a continued upward trend are .
SOXS may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
Bearish Trend Analysis
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SOXS 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 SOXS entered a downward trend on October 17, 2025. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
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General Information
Category Trading
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