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Author: Al Brooks
Publisher: John Wiley & Sons
ISBN: 1118066510
Category : Business & Economics
Languages : en
Pages : 489
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Book Description
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.
Author: Al Brooks
Publisher: John Wiley & Sons
ISBN: 1118066510
Category : Business & Economics
Languages : en
Pages : 489
Get Book Here
Book Description
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.
Author: F. Bailey Norwood
Publisher: Waveland Press
ISBN: 1478648678
Category : Technology & Engineering
Languages : en
Pages : 445
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Book Description
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.
Author: Walter C. Labys
Publisher: Routledge
ISBN: 1351917080
Category : Business & Economics
Languages : en
Pages : 247
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Book Description
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.
Author: Nina Golyandina
Publisher: CRC Press
ISBN: 9781420035841
Category : Mathematics
Languages : en
Pages : 322
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Book Description
Over the last 15 years, singular spectrum analysis (SSA) has proven very successful. It has already become a standard tool in climatic and meteorological time series analysis and well known in nonlinear physics and signal processing. However, despite the promise it holds for time series applications in other disciplines, SSA is not widely known among statisticians and econometrists, and although the basic SSA algorithm looks simple, understanding what it does and where its pitfalls lay is by no means simple. Analysis of Time Series Structure: SSA and Related Techniques provides a careful, lucid description of its general theory and methodology. Part I introduces the basic concepts, and sets forth the main findings and results, then presents a detailed treatment of the methodology. After introducing the basic SSA algorithm, the authors explore forecasting and apply SSA ideas to change-point detection algorithms. Part II is devoted to the theory of SSA. Here the authors formulate and prove the statements of Part I. They address the singular value decomposition (SVD) of real matrices, time series of finite rank, and SVD of trajectory matrices. Based on the authors' original work and filled with applications illustrated with real data sets, this book offers an outstanding opportunity to obtain a working knowledge of why, when, and how SSA works. It builds a strong foundation for successfully using the technique in applications ranging from mathematics and nonlinear physics to economics, biology, oceanology, social science, engineering, financial econometrics, and market research.
Author: United States. Congress. Senate. Committee on the Judiciary
Publisher:
ISBN:
Category : Automobile industry and trade
Languages : en
Pages : 324
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Book Description
Author: Vivian Siahaan
Publisher: BALIGE PUBLISHING
ISBN:
Category : Computers
Languages : en
Pages : 303
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Book Description
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.
Author: Gregory J. Scott
Publisher: Lynne Rienner Publishers
ISBN: 9781555876098
Category : Business & Economics
Languages : en
Pages : 524
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Book Description
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.
Author: Luigi Biggeri
Publisher: Springer Science & Business Media
ISBN: 3790821403
Category : Business & Economics
Languages : en
Pages : 267
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Book Description
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.
Author:
Publisher:
ISBN:
Category : Consumer price indexes
Languages : en
Pages : 856
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Book Description
Consumer price index, U.S. city average and selected areas.
Author: University of Minnesota
Publisher:
ISBN:
Category :
Languages : en
Pages : 328
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Book Description
