Blog Posts

Day trading risk management generally follows the same template or line of thinking. It is most commonly some form of the “1% rule.” Namely, it is a rules-based system stipulating that no more than one percent of your account can be dedicated to any given trade. This is done as a matter of prudently managing […]

Position sizing refers to the technique of determining the appropriate amount of capital or number of shares to allocate for a specific trade or investment. This process is important for several reasons: Risk Management – It helps in managing the risk associated with individual trades, such that losses don’t disproportionately affect the overall portfolio. Potential […]

Many traders rely on support and resistance levels to chart price movements and predict buy or sell signals. However, the effectiveness of this technical analysis strategy is a subject of debate. We’ll explore the broader question of whether support and resistance levels work.   Key Takeaways – Do Support & Resistance Levels Work? Limitations of […]

Neuro-Symbolic AI is a field of artificial intelligence and machine learning that combines the strengths of neural networks (for pattern recognition and learning) with symbolic reasoning (for logic and knowledge representation) to create better and more explainable AI systems. By merging the intuitive pattern recognition capabilities of neural networks with the logical reasoning of symbolic […]

Informed trading involves the act of trading securities by individuals or entities who have access to material, non-public information (MNPI), which influences market efficiency and fairness. We look into the essence, implications, and regulatory aspects of informed trading.   Key Takeaways – Informed Trading Asymmetric Information Advantage Informed traders possess superior, often non-public, information about […]

To learn machine learning (ML) for traders, investors, and other financial professionals, it’s best to start by acquiring a strong foundation in Python programming and essential mathematical concepts such as statistics, probability, and linear algebra. Progressively go into machine learning principles, focusing on algorithms relevant to financial markets, such as time series analysis and reinforcement […]

Let’s look at some day trading facts and statistics. We have article sources at the bottom, including where each numbered fact can be found in the parenthetical.   Day Trading Facts & Statistics Only about 1-20% of day traders actually profit from their endeavors in some way. Approximately 4% of day traders manage to make […]

A popular paper in quantitative finance – for a period the #1 most downloaded paper on SSRN – is making the old argument for a 100% equities allocation. The argument against the notion of a 100% equity allocation for long-term investors, based on recent discussions and longstanding financial principles is articulated below.   Key Takeaways […]

In trading and finance, machine learning is reshaping traditional market analysis. We look into the integration of machine learning in financial research, exploring its challenges, opportunities, and its potential for the future.   Key Takeaways – Machine Learning in Trading & Finance Machine Learning’s Role in Finance: Machine learning offers a fresh lens for financial […]

Transaction costs in markets, trading, and finance refer to the expenses incurred when buying or selling securities or assets. These costs can significantly impact the profitability of trades and the efficiency of markets. They’re one of the least talked about factors discussed in trading despite their impact on net returns. Understanding the different types of […]