Posts (page 179)
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10 min readThe Detrended Price Oscillator (DPO) is a technical indicator that helps traders in analyzing price movements without the influence of any trend. It helps identify cycles and short-term price patterns independent of longer-term trends.To interpret the DPO, traders should consider the following key points:Range bound indicator: DPO oscillates around the zero line, which represents the average price over a specified period, usually a number of days.
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6 min readTensorBoard is a powerful visualization tool provided by TensorFlow. It allows you to visualize, analyze, and debug your machine learning models. With TensorBoard, you can track and visualize various aspects of your model's training and evaluation, such as the loss, accuracy, weights, and model architecture.To use TensorBoard for model visualization, you need to follow these steps:Import the necessary libraries: You need to import TensorFlow and any other libraries required for your model.
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11 min readTypical price refers to the average or common price of a product or service within a specific market or industry. It is the usual amount that customers are expected to pay for a particular item, considering factors like demand, supply, production costs, competition, and market conditions.Determining the typical price involves analyzing various variables that impact pricing.
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5 min readDeploying a TensorFlow model to production involves a series of steps to ensure that the model is ready to be used in a real-world application. Here is an overview of the deployment process:Train and save the model: Begin by training and fine-tuning your TensorFlow model using an appropriate dataset. Once the model is trained, save it in a portable format like SavedModel or HDF5.
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11 min readThe Volume Price Trend (VPT) is a technical analysis indicator used in the stock market to assess the relationship between price and volume. It helps traders and investors determine the strength of a price trend and identify possible reversals.Developed by Buff Dormeier in the 1990s, the VPT combines volume and price data to provide insights into the buying and selling pressure behind price movements.
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8 min readTransfer learning is a technique in machine learning where a pre-trained model is used as a starting point for training a new model. This allows the new model to leverage the knowledge gained by the pre-trained model and speeds up the training process.TensorFlow provides a convenient interface for performing transfer learning. The first step is to load a pre-trained model using the tf.keras.applications module.
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9 min readVisualizing training progress in TensorFlow can be helpful in gaining insights into the model's performance, identifying potential issues, and making informed decisions to improve the training process. Here are some ways to visualize training progress in TensorFlow:TensorBoard: TensorBoard is a powerful visualization tool provided by TensorFlow. It allows you to monitor and analyze various aspects of your model's training progress.
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14 min readKeltner Channels are a technical analysis tool used by traders to analyze and interpret potential price reversals, overbought or oversold conditions, and market volatility. Developed by Chester W. Keltner, the concept combines elements of moving averages and average true range to create a charting indicator.To interpret Keltner Channels, you need to understand the three components that make up the indicator: the middle line, the upper band, and the lower band.
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9 min readCustom loss functions can be implemented in TensorFlow to train machine learning models with specific objectives or requirements. TensorFlow provides flexibility in defining and using custom loss functions by allowing users to create their own loss functions using its computational graph framework.
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15 min readThe Elder-Ray Index is a technical analysis tool developed by Alexander Elder to help traders and investors identify possible trading opportunities in the financial markets. It consists of two components: the Bull Power and the Bear Power.The Bull Power is calculated by subtracting the Exponential Moving Average (EMA) of the daily lows from the daily closes. It measures the strength of the bulls or buyers in the market.
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6 min readTo use GPU with TensorFlow for faster training, you need to follow the following steps:Install necessary components: Install CUDA Toolkit: TensorFlow requires CUDA to utilize the GPU. Install the appropriate version of CUDA Toolkit from the NVIDIA Developer website. Install cuDNN: TensorFlow also needs cuDNN (CUDA Deep Neural Network library) for accelerated GPU training.
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10 min readTrading with acceleration bands for scalping can be an effective strategy for capturing short-term price movements in the market. Acceleration bands are a technical indicator that helps traders identify potential turning points in the price action. They consist of three bands: an upper band, a lower band, and a middle band.