St Louis
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10 min readThe Simple Moving Average (SMA) is a commonly used technical analysis tool in swing trading. It is used to identify the direction and strength of a trend and to make trading decisions based on the price movement.The SMA is a straightforward calculation that takes the average closing price of a security over a specified time period. This time period can range from a few days to several months, depending on the trader's preference and the desired level of sensitivity to price movements.
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5 min readIn D3.js, you can modify a value based on selection using various methods. Here is a brief explanation of how to achieve this:Select the elements: Start by selecting the elements you want to modify. This can be done using the d3.select() or d3.selectAll() method, depending on whether you want to select a single element or multiple elements. Modify the value: Once you have selected the required elements, you can modify their value using various methods such as attr(), style(), or text().
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9 min readApplying options in a trading strategy involves utilizing these financial derivatives to enhance potential returns or manage risks associated with underlying assets. Options give traders the right, but not the obligation, to buy or sell an asset at a predetermined price, known as the strike price, within a specific time frame.To apply options in a trading strategy, traders must consider various factors including market conditions, risk tolerance, and trading objectives.
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9 min readThe Vortex Indicator is a technical analysis tool used to identify the beginning of a new trend or trend reversal in the financial markets. It was developed by Etienne Botes and Douglas Siepman to capture both the positive and negative directional movement in a security's price.The Vortex Indicator consists of two lines: the positive vortex line (VI+) and the negative vortex line (VI-). These lines represent the upward and downward price movements over a certain period, typically 14 days.
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10 min readReinforcement learning is a type of machine learning technique that allows an agent to learn how to make decisions by interacting with an environment to maximize a reward. TensorFlow is a popular open-source library for building and training machine learning models. Implementing reinforcement learning with TensorFlow involves several steps:Define the environment: The first step is to define the environment in which the agent will learn and make decisions.
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14 min readDeveloping a day trading strategy requires careful planning and consideration to increase the chances of success in the fast-paced and volatile day trading environment. Here are some important factors to consider when developing a day trading strategy:Define your objectives: Determine your goals, such as the desired profit targets, risk tolerance, and timeframe for trading. This will help shape your overall strategy.
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12 min readWilliams %R is a technical analysis oscillator used for short-term trading strategies, including scalping. It measures the overbought or oversold conditions of an asset and provides signals that traders can use to make quick trading decisions.The Williams %R indicator is a momentum oscillator that moves between 0 and -100. The value -50 represents the midline of the indicator, with readings above -50 indicating overbought conditions and readings below -50 indicating oversold conditions.
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8 min readTensorFlow is a popular open-source library for machine learning and artificial intelligence. It includes various tools, libraries, and resources that make it easier for developers to build and train machine learning models. With TensorFlow, you can efficiently process and analyze large amounts of data, including natural language processing (NLP) tasks.When it comes to NLP, TensorFlow provides many useful features and functionalities.
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9 min readMoving averages are a widely used technical analysis tool in financial trading. They help traders identify trends and potential entry or exit points in the market.Moving averages are calculated by taking the average price of an asset over a specified time period. The two main types of moving averages are the simple moving average (SMA) and the exponential moving average (EMA).
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8 min readAutomatic differentiation is a crucial component of machine learning frameworks like TensorFlow that allows us to compute derivatives efficiently. TensorFlow provides a built-in mechanism for automatic differentiation, enabling us to calculate gradients of scalar functions with respect to variables efficiently.To implement automatic differentiation in TensorFlow, we follow these steps:Define variables: Start by creating the variables that you want to differentiate with respect to.
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13 min readThe Price Rate of Change (ROC) is a technical indicator that measures the percentage change in price over a specified period of time. It is calculated by taking the current price and comparing it to the price at a certain point in the past. The ROC is commonly used by traders and analysts to gauge the momentum and strength of a particular security or market.