Posts in Comparison

The Good, The Bad, and The AI: How AlgosOne Surprised Me This Week!

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Hey everyone, it’s time for a quick update on my AlgosOne account. I’ll keep it brief this time since there haven’t been many changes. I want to keep you informed and share my plans for the future.

I can now sense the impact of my last reinvestment step on my trading experience. Although the additional 100 USD in my trading balance didn’t bring about significant changes, I’ve noticed a gradual increase in small profits. This week, I achieved a few milestones in my account. On the positive side, the AI successfully closed six highly profitable trades in a row, a first for me on this platform. Overall profit is about + 120 USD. However, on the downside, I experienced my largest loss ever on AlgosOne – a single trade resulted in a loss of -31.91 USD. Fortunately, the profitable trades offset that loss, leaving me with an overall positive result. It’s a reminder that AI is not a magic tool, but I remain hopeful that this kid will continue learning and improving its success rate.

As usual, I’m sharing my dashboard. The trading balance remains at the same level, as I’m currently not depositing or reinvesting profits. In my checking account, I have 141 USD. I’m considering testing profits withdrawal but will wait until there’s more in my checking account. AlgosOne charges a 0.75% fee (minimum 10 USD) for withdrawals, so I prefer to wait a bit longer. Let’s hope the AI continues to grow my account, and I’ll be able to successfully withdraw my profits. Stay tuned, and I’ll keep you updated.

AI Trading Secrets Exposed: Is It Better Than Algorithmic Trading?

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In the rapidly changing trading landscape, investors have a wealth of tools and techniques at their fingertips. Of these, algorithmic trading and AI-based trading have emerged as the dominant strategies, receiving more attention recently. While both approaches use automation and data analytics, they have advantages as well as disadvantages and deliver distinct returns. In this article, we’ll explore the differences between algorithmic trading and AI trading, examine the pros and cons of each, and guide you through the most appropriate choice for your trading goals

Algorithmic Trading

Algorithmic trading, commonly known as algo trading, is a technique that relies on predetermined rules and mathematical models to execute trades. These algorithms are designed to analyze market trends, identify trading opportunities, and execute orders on price and at the best of times.

Pros of algorithmic trading:

  • Speed ​​and efficiency: Algorithms can execute trades at lightning speed, taking advantage of market opportunities before human traders can react.
  • Discipline: Algo trading reinforces discipline by following established rules, reducing emotional judgment.
  • Back-testing: Algorithmic trading methods are extremely easy to back-test and optimize, allowing traders to fine-tune their systems over time.
  • Risk management: Algorithms can be developed to incorporate risk management measures, help prevent losses and protect capital.

Cons in algorithmic trading:

  • Limited flexibility: Algorithmic trading systems are rigid and may struggle to adapt to rapidly changing market conditions or unpredictable information.
  • Data dependency: The effectiveness of the algorithm is highly dependent on the quality and availability of historical market data.
  • Over-Optimization Risk: Due to shifting market dynamics, traders may over-optimize their algorithms, making them perform poorly in the future even if they did well in the past.

AI-Based Trading

Artificial intelligence and machine learning are used in AI-based trading to make trading judgments. These systems make use of advanced algorithms that can adjust to shifting market conditions and learn from data.

Pros of AI-Based Trading:

  • Adaptability: AI systems have the ability to learn from fresh data and adjust to shifting market conditions, which may give them an advantage in erratic markets.
  • Pattern recognition: Artificial intelligence (AI) can identify patterns and trends that human may find challenging to discern, helping them to make more informed judgments.
  • Unstructured data analysis: To help traders make better decisions, artificial intelligence  can evaluate a variety of unstructured data sources, including news, social media sentiment, and economic indicators.
  • Risk analysis: AI can dynamically assess risk and adjust trading strategies accordingly, potentially reducing losses

Cons of AI-Based Trading:

  • Complexity: AI trading systems can be challenging to manage, requiring a solid basis in data analytics and machine learning.
  • Data quality: is crucial to artificial intelligence, and noisy or skewed data can produce inaccurate predictions.
  • Black-box nature: AI systems are sometimes thought of as “black boxes,” which makes it challenging to decipher the precise reasoning behind trading choices.

In conclusion, your trading preferences and goals will ultimately determine which approach you choose between algorithmic and AI-based trading. For those seeking simplicity, discipline, speed, and default rules, algorithmic trading might be the best option. However, an AI-based trading journey might be a good fit for you if you value flexibility, the ability to recognize patterns, and the willingness to invest in data analysis.