Download or read book Price Analysis Series written by United States. Office of Price Administration. Division of Research and published by . This book was released on 1943 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Trading Price Action Trends written by Al Brooks and published by John Wiley & Sons. This book was released on 2011-11-29 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to profiting from institutional trading trends The key to being a successful trader is finding a system that works and sticking with it. Author Al Brooks has done just that. By simplifying his trading system and trading only 5-minute price charts he's found a way to capture profits regardless of market direction or economic climate. His first book, Reading Price Charts Bar by Bar, offered an informative examination of his system, but it didn't allow him to get into the real nuts and bolts of the approach. Now, with this new series of books, Brooks takes you step by step through the entire process. By breaking down his trading system into its simplest pieces: institutional piggybacking or trend trading (the topic of this particular book in the series), trading ranges, and transitions or reversals, this three book series offers access to Brooks' successful methodology. Price Action Trends Bar by Bar describes in detail what individual bars and combinations of bars can tell a trader about what institutions are doing. This is critical because the key to making money in trading is to piggyback institutions and you cannot do that unless you understand what the charts are telling you about their behavior. This book will allow you to see what type of trend is unfolding, so can use techniques that are specific to that type of trend to place the right trades. Discusses how to profit from institutional trading trends using technical analysis Outlines a detailed and original trading approach developed over the author's successful career as an independent trader Other books in the series include Price Action Trading Ranges Bar by Bar and Price Action Reversals Bar by Bar If you're looking to make the most of your time in today's markets the trading insights found in Price Action Trends Bar by Bar will help you achieve this goal.
Download or read book Agricultural Marketing and Price Analysis written by F. Bailey Norwood and published by Waveland Press. This book was released on 2021-12-20 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Friendly and readable, Agricultural Marketing and Price Analysis presents a comprehensive approach to agricultural price analysis, agricultural market structures, and agricultural marketing strategies. The authors engage students with very little exposure to economics and with only a basic grasp of algebra. The text utilizes a fresh approach and supplies thorough coverage of core topics, as well as complex topics such as general equilibrium models, game theory, and econometrics. It also provides an introduction to data analysis and incorporates many examples. Supplemental materials are available for additional practice and further exploration. Unique to the Second Edition is the inclusion of a chapter on consumer behavior and food preferences, as well as relevant areas of research. The authors introduce readers to the agricultural supply chain, including forecasting and inventory management. Succinct and approachable, this text sets the stage for an enjoyable and effective learning experience.
Download or read book CRYPTOCURRENCY PRICE ANALYSIS PREDICTION AND FORECASTING USING MACHINE LEARNING WITH PYTHON written by Vivian Siahaan and published by BALIGE PUBLISHING. This book was released on 2023-07-21 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this project, we will be conducting a comprehensive analysis, prediction, and forecasting of cryptocurrency prices using machine learning with Python. The dataset we will be working with contains historical cryptocurrency price data, and our main objective is to build models that can accurately predict future price movements and daily returns. The first step of the project involves exploring the dataset to gain insights into the structure and contents of the data. We will examine the columns, data types, and any missing values present. After that, we will preprocess the data, handling any missing values and converting data types as needed. This will ensure that our data is clean and ready for analysis. Next, we will proceed with visualizing the dataset to understand the trends and patterns in cryptocurrency prices over time. We will create line plots, box plot, violin plot, and other visualizations to study price movements, trading volumes, and volatility across different cryptocurrencies. These visualizations will help us identify any apparent trends or seasonality in the data. To gain a deeper understanding of the time-series nature of the data, we will conduct time-series analysis year-wise and month-wise. This analysis will involve decomposing the time-series into its individual components like trend, seasonality, and noise. Additionally, we will look for patterns in price movements during specific months to identify any recurring seasonal effects. To enhance our predictions, we will also incorporate technical indicators into our analysis. Technical indicators, such as moving averages, Relative Strength Index (RSI), and Moving Average Convergence Divergence (MACD), provide valuable information about price momentum and market trends. These indicators can be used as additional features in our machine learning models. With a strong foundation of data exploration, visualization, and time-series analysis, we will now move on to building machine learning models for forecasting the closing price of cryptocurrencies. We will utilize algorithms like Linear Regression, Support Vector Regression, Random Forest Regression, Decision Tree Regression, K-Nearest Neighbors Regression, Adaboost Regression, Gradient Boosting Regression, Extreme Gradient Boosting Regression, Light Gradient Boosting Regression, Catboost Regression, Multi-Layer Perceptron Regression, Lasso Regression, and Ridge Regression to make forecasting. By training our models on historical data, they will learn to recognize patterns and make predictions for future price movements. As part of our machine learning efforts, we will also develop models for predicting daily returns of cryptocurrencies. Daily returns are essential indicators for investors and traders, as they reflect the percentage change in price from one day to the next. By using historical price data and technical indicators as input features, we can build models that forecast daily returns accurately. Throughout the project, we will perform extensive hyperparameter tuning using techniques like Grid Search and Random Search. This will help us identify the best combinations of hyperparameters for each model, optimizing their performance. To validate the accuracy and robustness of our models, we will use various evaluation metrics such as Mean Squared Error (MSE), Mean Absolute Error (MAE), and R-squared. These metrics will provide insights into the model's ability to predict cryptocurrency prices accurately. In conclusion, this project on cryptocurrency price analysis, prediction, and forecasting is a comprehensive exploration of using machine learning with Python to analyze and predict cryptocurrency price movements. By leveraging data visualization, time-series analysis, technical indicators, and machine learning algorithms, we aim to build accurate and reliable models for predicting future price movements and daily returns. The project's outcomes will be valuable for investors, traders, and analysts looking to make informed decisions in the highly volatile and dynamic world of cryptocurrencies. Through rigorous evaluation and validation, we strive to create robust models that can contribute to a better understanding of cryptocurrency market dynamics and support data-driven decision-making.
Download or read book Administered Prices Automobiles written by United States. Congress. Senate. Committee on the Judiciary and published by . This book was released on 1958 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Armed Services Pricing Manual ASPM Price analysis written by and published by . This book was released on 1986 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling and Forecasting Primary Commodity Prices written by Walter C. Labys and published by Routledge. This book was released on 2017-03-02 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis. The latter utilize econometric methods concerned with structural breaks, unobserved components, chaotic discovery, long memory, heteroskedasticity, wavelet estimation and fractional integration. Relevant tests employed include neural networks, correlation dimensions, Lyapunov exponents, fractional integration and rescaled range. The price forecasting involves structural time series trend plus cycle and cyclical trend models. Practical applications focus on the price behaviour of more than twenty international commodity markets.
Download or read book Price Indexes in Time and Space written by Luigi Biggeri and published by Springer Science & Business Media. This book was released on 2010-07-03 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with many of the most relevant topics in price index numbers theory and practice. The problem of the harmonization of CPIs and the time-space integration of baskets is analyzed at the Eu-zone level, with methodological and actual proposals on how to proceed for an overall treatment of the matte. Likewise, the construction of sub-indexes for households economic and social groups is investigated, in order to obtain specific inflation measurement instruments. Evidence from most updated databases is given. The questions of the spatial comparisons of price levels through PPPs and th.
Download or read book CPI Detailed Report written by and published by . This book was released on 1990 with total page 856 pages. Available in PDF, EPUB and Kindle. Book excerpt: Consumer price index, U.S. city average and selected areas.
Download or read book Prices Products and People written by Gregory J. Scott and published by Lynne Rienner Publishers. This book was released on 1995 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors go beyond the traditional presentation of economic principles, offering instead a series of applied methods for data collection and analysis. Drawing on extensive experience in Africa, Asia, and Latin America, they not only describe specific procedures, but also provide a wealth of illustrative research results. This book will be particularly useful to teaching professionals, development specialists, and applied researchers working in developing countries.
Download or read book Stock price analysis through Statistical and Data Science tools An Overview written by Vinaitheerthan Renganathan and published by Vinaitheerthan Renganathan. This book was released on 2021-04-30 with total page 107 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock price analysis involves different methods such as fundamental analysis and technical analysis which is based on data related to price movement of the stock in the past. Price of the stock is affected by various factors such as company’s performance, current status of economy and political factor. These factors play an important role in supply and demand of the stock which makes the price to be volatile in the short term. Investors and stock traders aim to book profit through buying and selling the stocks. There are different statistical and data science tools are being used to predict the stock price. Data Science and Statistical tools assume only the stock price’s historical data in predicting the future stock price. Statistical tools include measures such as Graph and Charts which depicts the general trend and time series tools such as Auto Regressive Integrated Moving Averages (ARIMA) and regression analysis. Data Science tools include models like Decision Tree, Support Vector Machine (SVM), Artificial Neural Network (ANN) and Long Term and Short Term Memory (LSTM) Models. Current methods include carrying out sentiment analysis of tweets, comments and other social media discussion to extract the hidden sentiment expressed by the users which indicate the positive or negative sentiment towards the stock price and the company. The book provides an overview of the analyzing and predicting stock price movements using statistical and data science tools using R open source software with hypothetical stock data sets. It provides a short introduction to R software to enable the user to understand analysis part in the later part. The book will not go into details of suggesting when to purchase a stock or what at price. The tools presented in the book can be used as a guiding tool in decision making while buying or selling the stock. Vinaitheerthan Renganathan www.vinaitheerthan.com/book.php
Download or read book Proceedings of the 2022 International Conference on Mathematical Statistics and Economic Analysis MSEA 2022 written by Gaikar Vilas Bhau and published by Springer Nature. This book was released on 2022-12-22 with total page 1514 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Download or read book ICEMME 2023 written by Nikolaos Freris and published by European Alliance for Innovation. This book was released on 2024-02-27 with total page 822 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 2023 5th International Conference on Economic Management and Model Engineering (ICEMME 2023) was held on November 17-19, 2023 in Beijing, China. The primary objective of this conference is to facilitate the exchange of ideas and knowledge among researchers, scholars, and practitioners in the field of economic management and modeling engineering. Through presentations, discussions, and networking opportunities, participants will have the chance to explore the latest advancements, methodologies, and best practices in these areas. The conference was focused on three main themes: Enterprise Economic Management and Market Mechanism Assessment; Data Statistical Analysis and Economic Forecasting; Industrial Structure Optimization and Economic Green Development. For readers, this collection of papers offers a comprehensive insight into cutting-edge research and case studies, providing valuable information on current trends, challenges, and opportunities in economic management and modeling engineering. Readers will benefit from the diverse perspectives and innovative approaches presented in these papers, inspiring new ideas and solutions for their own research endeavors. Moreover, the positive influence of this conference extends beyond the current discussions. It is expected that the findings and recommendations shared in these proceedings will serve as a foundation for future research in the field of economic management and modeling engineering. By fostering collaboration, knowledge sharing, and academic discourse, this conference aims to contribute to the advancement of the field and stimulate further research initiatives in the years to come.
Download or read book Miscellaneous Publication written by United States. Office of Temporary Controls and published by . This book was released on 1947 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Outlook Situation written by and published by . This book was released on 1981 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Historical Reports on War Administration written by Temporary Controls Office and published by . This book was released on with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Australian National Bibliography written by and published by National Library Australia. This book was released on 1978 with total page 1734 pages. Available in PDF, EPUB and Kindle. Book excerpt:
