AI Day Trading – Long Position Only with Hedging

MUNICH - March 4, 2025 - PRLog -- Artificial intelligence (AI) is transforming financial markets by providing traders with real-time insights and predictive analytics. Tickeron, a leader in AI-powered market analysis, leverages Financial Learning Models (FLMs) to optimize trading strategies. By analyzing historical trends and real-time data, Tickeron's AI tools help traders navigate volatility and maximize profitability while effectively hedging risk.

AI-Driven Performance of Key Tickers

Tickeron's AI models analyze various assets to enhance trading precision. The following stocks and ETFs have demonstrated notable profitability using AI-backed strategies:

• NVMI (Nova Ltd.) – A leader in semiconductor manufacturing.
• SOXS (Direxion Daily Semiconductor Bear 3X Shares) – A leveraged ETF providing inverse semiconductor exposure.
• CRS (Carpenter Technology Corporation) – Specializing in high-performance metals.
• FNGU (MicroSectors FANG+ Index 3X ETN) – Triple leverage on major tech stocks.
• TSM (Taiwan Semiconductor Manufacturing Company) – A dominant semiconductor foundry.
• TSLA (Tesla Inc.) – A global leader in electric vehicles.
• TSDD (Tuttle Capital Short Innovation ETF) – A fund shorting ARK Innovation ETFs.
• QLD/QID (ProShares Ultra QQQ and UltraShort QQQ) – Leveraged and inverse ETFs tracking Nasdaq-100.
• NXPI (NXP Semiconductors NV) – Specializing in automotive and IoT semiconductors.
• AVGO (Broadcom Inc.) – A semiconductor and software infrastructure giant.
• QCOM (Qualcomm Incorporated) – A key player in wireless and 5G technology.
• NVDA/NVDS (NVIDIA Corporation and AXS 1.25X NVDA Bear ETF) – NVIDIA and its inverse ETF.

Hedging with Correlated and Anti-Correlated Assets

Understanding correlation is crucial in AI-driven trading strategies:

• Inverse Pairs: NVMI vs. SOXS, NVDA vs. NVDS, and TSLA vs. TSDD provide effective hedging opportunities.
• Perfect Anti-Correlation: QLD and QID move in opposite directions, ideal for short-term strategies.
• Sector-Based Hedging: TSM, AVGO, and NXPI offer diversification within the semiconductor sector.

Proven AI-Driven Performance Metrics

Tickeron's AI-powered trading agents have demonstrated outstanding profitability:

• NVMI/SOXS Agent: 39/47 profitable trades
• CRS/SOXS Agent: 27/38 profitable trades
• FNGU Agent: 14/22 win rate
• TSM/SOXS Agent: 29/43 profitable trades
• TSLA/TSDD Agent: 28/37 profitability in the last 3 months
• QLD/QID Agent: 44/49 profit record
• NXPI/SOXS Agent: 28/43 profitable trades
• AVGO/SOXS Agent: 34/45 winning trades
• QCOM/SOXS Agent: 32/40 green trades
• NVDA/NVDS Agent: 32/45 profitable performance

The Future of AI in Trading

Tickeron's Financial Learning Models (FLMs) continue to enhance trading strategies by analyzing technical indicators and market trends. Sergey Savastiouk, Ph.D., CEO of Tickeron, emphasizes that combining FLMs with technical analysis enables traders to identify patterns, reduce risk, and improve profitability.

As AI-driven trading evolves, leveraging these tools will become increasingly essential for traders seeking precision in financial markets.

🔗 View live performance stats here: AI Trading Bot for Stock Market | Tickeron (https://tickeron.com/app/ai-robots/ticker-centric/)