St Louis
-
6 min readHyperparameter tuning is an essential aspect of optimizing the performance of a machine learning model. TensorFlow, being a popular deep learning framework, offers various techniques for tuning hyperparameters to improve the model's accuracy and generalization. Here's a brief overview of how to perform hyperparameter tuning in TensorFlow:Define the hyperparameters: Hyperparameters are the variables that determine the behavior of the training process.
-
14 min readCandlestick patterns are a way of interpreting price action in financial markets, particularly in technical analysis. They are formed by the visual representation of price movements on a chart, using candle-shaped structures.Each candlestick represents a specific time interval, such as one minute, one hour, or one day, and contains four essential components: the opening price, the closing price, the highest price, and the lowest price.
-
5 min readTo convert a TensorFlow model to TensorFlow Lite, you can follow these steps:Import the necessary libraries: Start by importing the required TensorFlow and TensorFlow Lite libraries. Load the TensorFlow model: Load your pre-trained TensorFlow model that you want to convert. Create a TensorFlow Lite converter: Instantiate a tf.lite.TFLiteConverter object to convert the TensorFlow model.
-
9 min readCreating a trading strategy based on technical analysis involves using historical price and volume data of an asset to make predictions about its future performance. Here is a step-by-step guide on how to create such a strategy:Understand the Basics: Familiarize yourself with the key concepts of technical analysis, such as support and resistance levels, trendlines, chart patterns, moving averages, oscillators, and indicators.
-
9 min readThe Average Directional Index (ADX) is a popular technical indicator used by traders to assess the strength of a trend and potential trading opportunities. While its main purpose is to measure the strength of a trend, it can also be useful in determining whether a market is trending or ranging.To begin trading with the Average Directional Index as a beginner, there are a few key points to keep in mind. First, it's important to understand the components of the ADX.
-
7 min readData augmentation is a technique commonly used in deep learning to artificially expand the training dataset by generating new examples. This approach helps to improve the model's ability to generalize and enhances its performance. TensorFlow, a popular deep learning framework, provides several methods to implement data augmentation effectively.
-
7 min readBacktesting a trading strategy involves evaluating the performance and effectiveness of a trading strategy using historical data. It helps traders and investors understand how a strategy would have performed under past market conditions before implementing it in real-time trading.To backtest a trading strategy, follow these general steps:Define the Strategy: Clearly define the trading strategy, including entry and exit rules, position sizing, risk management, and any other relevant parameters.
-
9 min readA Complete Guide to Fibonacci Retracements for swing trading involves using a mathematical sequence known as the Fibonacci sequence in conjunction with technical analysis tools to identify potential levels of support and resistance in the financial markets.The Fibonacci sequence, discovered by Leonardo Fibonacci in the 13th century, is a series of numbers in which each number is the sum of the two preceding numbers (e.g., 1, 1, 2, 3, 5, 8, 13, 21, etc.).
-
10 min readFine-tuning a pre-trained model in TensorFlow involves taking a model that has already been trained on a large dataset and adapting it to a new, specific task or dataset. It is common to use pre-trained models as they offer a head-start in solving complex problems and can save significant computational resources.The first step in fine-tuning is to choose a suitable pre-trained model that aligns with your specific task or dataset.
-
12 min readDeveloping a profitable trading strategy requires careful analysis, planning, and continuous adaptation to market conditions. Here are some key components to consider:Research and Analysis: Begin by thoroughly researching the financial markets and chosen trading instruments. Consider both technical and fundamental analysis to understand market trends, price patterns, and key economic indicators affecting your chosen assets. Objective Setting: Clearly define your trading goals and objectives.
-
18 min readKeltner Channels is a technical analysis indicator that is commonly used in swing trading. It was developed by Chester Keltner and is based on the concept of volatility and average true range (ATR). Here are the basics of Keltner Channels for swing trading:Calculation: Keltner Channels consist of three lines plotted on a price chart. The middle line is usually a simple moving average (SMA) of the price over a specific period, often 20 periods.