The rise of high-frequency AI bot trading has significantly impacted individual traders who traditionally relied on technical analysis. Let's explore how this transformation affects traders:1. Speed and Competition:- High-frequency trading (HFT), powered by AI algorithms, executes trades in microseconds. This rapid pace has intensified competition in the market.- Milliseconds matter: AI bots can make split-second decisions, leaving traditional traders at a disadvantage.2. Discretionary vs. Systematic Trading:- Discretionary traders rely on intuition and subjective judgment. However, AI-driven systems use objective data analysis, removing human bias.- Systematic trading dominates: AI bots follow predefined rules, optimizing performance without emotional interference.3. Market Dynamics:- Technical analysis limitations: HFTs challenge traditional technical patterns. Sudden price movements driven by AI can defy historical trends.- Adaptability: Traders must balance technical insights with AI-driven shifts.4. Liquidity and Volatility:- Liquidity impact: HFTs enhance overall market liquidity by reducing transaction costs.- Price volatility: Interruptions in HFT can affect liquidity and, to some extent, price stability¹².5. Holistic Approach:- Blend fundamental and technical analysis: AI complements both. While fundamentals provide context, technicals offer precise entry/exit points.- Stay informed: Understand AI-driven changes and adapt strategies accordingly.In summary, AI-driven high-frequency trading reshapes the landscape. Traders must embrace technology, adapt, and seek a balanced approach for success¹².Source: Conversation with Bing, 11/03/2024(1) The Impact of High-Frequency Trading on Modern Securities Markets. https://link.springer.com/article/10.1007/s12599-022-00768-6.(2) The Rise of Robot Trading: AI In The Markets - TD Markets. https://www.tdmarkets.co.za/en/blog/the-rise-of-robot-trading-ai-in-the-markets/.(3) High Frequency Trading in FinTech age: AI with Speed - SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2771153.(4) Exploring the Impact of Trading Automation AI: From Inception to Future. https://gritdaily.com/impact-of-trading-automation-ai/.(5) Revolutionize AI Trading Bots with AutoML-Based Multi ... - Springer. https://link.springer.com/article/10.1007/s42979-023-01941-8.(6) The impact of high-frequency trading on traditional trading bot strategies. https://mineraland.io/the-impact-of-high-frequency-trading-on/.(7) Best AI Tools for High-Frequency Algorithmic Trading - SmartData Collective. https://www.smartdatacollective.com/best-ai-tools-for-high-frequency-algorithmic-trading/.(8) High-Frequency Trading Analysis with Python - Financial APIs Academy. https://eodhd.com/financial-academy/stocks-price-prediction-examples/high-frequency-trading-analysis-with-python/.(9) Mathematics | Free Full-Text | Algorithmic Trading and Financial ... - MDPI. https://www.mdpi.com/2227-7390/10/18/3302.
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Mkt cap ! $1.503B |
Open | High | Low | Value | Volume |
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Buyers (Bids)
No. | Vol. | Price($) |
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35 | 55538 | $3.65 |
Sellers (Offers)
Price($) | Vol. | No. |
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$3.66 | 11803 | 5 |
View Market Depth
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43 | 51224 | 3.660 |
31 | 102481 | 3.650 |
17 | 45046 | 3.640 |
12 | 59422 | 3.630 |
10 | 28580 | 3.620 |
Price($) | Vol. | No. |
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3.670 | 36337 | 47 |
3.680 | 59006 | 32 |
3.690 | 75871 | 20 |
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3.710 | 64591 | 12 |
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