Industry

ARTIFICIAL INTELLIGENCE TRADING

3. Emerging Risks and Ethics As AI trading becomes more autonomous, new challenges have emerged regarding human agency and market stability. Cognitive Alienation: There is a growing concern that as decision-making is increasingly outsourced to AI, human traders may lose their "ethical awareness" and grip on market reality (Suranaree Journal of Social Science, 2026). Adaptive Fragility: While AI increases efficiency, it can also create "herding behavior." When multiple autonomous systems converge on the same strategy, it can intensify systemic risks and market flash crashes (SEACEN Centre, 2026). Accountability Gap: Determining responsibility for an out-of-control agent remains a complex issue. Even if an agent behaves in an unanticipated way, programmers and organizations remain legally responsible for their actions (Wellman & Rajan, 2017). References MDPI. (2026). Stock Market Analysis, Forecasting, and Automated Trading Using Deep Learning. Cited by: 1 MDPI. (2026). AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications. PMC. (2026). Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecasting. SEACEN Centre. (2026). Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability. Șerban, F., & Vrinceanu, B. P. (2026). Entropy-Filtered Machine Learning for Risk-Aware Algorithmic Trading and Portfolio Decision Making. Journal of Risk and Financial Management, 19(4), 283. Suranaree Journal of Social Science. (2026). AI in Algorithmic Trading: A Cybernetic and Ethical Perspective on Equality and Market Sustainability.

2026-05-23 21:23 Nigeria

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Industry⁣🏆 Join the Weekly Simulated Trading Competition – 50,000 Points Up for Grabs!

Whether you're a beginner testing strategies or a pro proving your skills – everyone is welcome!Last week’s TOP10 traders took home tens of thousands of points. A brand-new weekly round has just kicked off —It’s your turn to join WikiFX Simulated Trading Competition, the perfect place to trade without risk and compete with the best. 🎁 Weekly Rewards for EveryoneTOP10 on the global leaderboard: up to 15,000 Points20 lucky participants with live account binding: 800 Points eachAchieve a positive weekly return and get a share of the prize pool – every trader counts! 🎁 Prize Claim RequirementsTo claim rewards, winners must meet both conditions:📌 Requirements:Bind a live trading accountPublish at least 2 posts in the community with hashtag #SimulatedTradingExperienceSharing Step up, claim your spot, and let your trading skills shine! 👉 Join the competition now! Log in to WikiFX, go to the Simulated Trading section, and open any position within the week to automatically enter the competition!

2026-05-25 16:21

IndustryTrump changed his plans for Iran: Stocks closed

⚠️ Trump changed his plans for Iran ⚠️ Stocks closed Friday like the war is over. Oil closed like it's about to restart. One of them is wrong by Monday. Iran's Supreme Leader ordered the enriched uranium to stay in Iran. That was the one line the US said it won't cross. Fresh strikes are back on the table. Where Friday closed: 💸Bitcoin: $75,650 (-2.4% on the day) 🛢 Brent: $103.94 (still pricing war risk) 🥇 Gold: $4,510 (off the highs, +34% YTD) 📈 S&P 500: 7,473 (priced like nothing happened) Using SMC, we mapped this weekend's setup: • The $4,400 gold level that decides the entire bull case • Why Brent is the wrong tell. Watch this number instead. • Why Bitcoin's $76k floor matters more than the headlines You better be prepared and watchout fot the full analysis (the gold call will surprise you)

ExcelTech Software

2026-05-24 03:00

IndustryARTIFICIAL INTELLIGENCE TRADING

3. Emerging Risks and Ethics As AI trading becomes more autonomous, new challenges have emerged regarding human agency and market stability. Cognitive Alienation: There is a growing concern that as decision-making is increasingly outsourced to AI, human traders may lose their "ethical awareness" and grip on market reality (Suranaree Journal of Social Science, 2026). Adaptive Fragility: While AI increases efficiency, it can also create "herding behavior." When multiple autonomous systems converge on the same strategy, it can intensify systemic risks and market flash crashes (SEACEN Centre, 2026). Accountability Gap: Determining responsibility for an out-of-control agent remains a complex issue. Even if an agent behaves in an unanticipated way, programmers and organizations remain legally responsible for their actions (Wellman & Rajan, 2017). References MDPI. (2026). Stock Market Analysis, Forecasting, and Automated Trading Using Deep Learning. Cited by: 1 MDPI. (2026). AI Agents in Financial Markets: Architecture, Applications, and Systemic Implications. PMC. (2026). Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecasting. SEACEN Centre. (2026). Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability. Șerban, F., & Vrinceanu, B. P. (2026). Entropy-Filtered Machine Learning for Risk-Aware Algorithmic Trading and Portfolio Decision Making. Journal of Risk and Financial Management, 19(4), 283. Suranaree Journal of Social Science. (2026). AI in Algorithmic Trading: A Cybernetic and Ethical Perspective on Equality and Market Sustainability.

iggeneral

2026-05-23 21:23

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