Download or read book Essays in Cryptocurrencies Forecasting and Trading with Technical Analysis and Advanced Machine Learning Methods written by Mingzhe Wei and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Techniques For Using AI to Master Crypto written by Jeffery W Long and published by Jeffery William Long. This book was released on 2024-08-21 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced Techniques For Using AI to Master Crypto Chapter 1: Introduction to Cryptocurrency Introduction to Cryptocurrency Cryptocurrency has emerged as one of the most revolutionary financial innovations of the 21st century. At its core, cryptocurrency represents digital or virtual currencies that rely on cryptographic principles to secure transactions, regulate issuance, and authenticate transfer of assets. Established in 2009 with the introduction of Bitcoin by an enigmatic figure known as Satoshi Nakamoto, cryptocurrency has since evolved into a multifaceted domain encompassing various aspects of finance and technology. Cryptocurrency owes its existence to the failure and limitations of traditional financial systems. In 2008, the financial crisis exposed the inherent vulnerabilities of centralized banking and the mistrust surrounding monetary institutions. It was against this backdrop that Bitcoin, the first decentralized cryptocurrency, was conceived. By implementing blockchain technology, Bitcoin established the foundation for a new kind of currency free from the control of central authorities and immune to the pitfalls of traditional financial institutions. The impact of cryptocurrencies on modern financial systems cannot be overstated. Cryptocurrencies facilitate peer-to-peer transactions independent of intermediaries, bringing about cost efficiency and speed in transferring funds. As the public becomes increasingly aware of the benefits and potential of cryptocurrencies, the landscape of global finance is undergoing a transformative shift, heralding the advent of a decentralized economy.
Download or read book Financial Data Resampling for Machine Learning Based Trading written by Tomé Almeida Borges and published by Springer Nature. This book was released on 2021-02-22 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a system that combines the expertise of four algorithms, namely Gradient Tree Boosting, Logistic Regression, Random Forest and Support Vector Classifier to trade with several cryptocurrencies. A new method for resampling financial data is presented as alternative to the classical time sampled data commonly used in financial market trading. The new resampling method uses a closing value threshold to resample the data creating a signal better suited for financial trading, thus achieving higher returns without increased risk. The performance of the algorithm with the new resampling method and the classical time sampled data are compared and the advantages of using the system developed in this work are highlighted.
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 TECHNICAL ANALYSIS FOR CRYPTOCURRENCY TRADING written by Investment Academy and published by . This book was released on 2022-03-31 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a technical analyst, you know how useful it is to predict the future. Book in a hard discount for a few days!
Download or read book Profitable Trading with Artificial Intelligence written by Louis B. Mendelsohn and published by Createspace Independent Publishing Platform. This book was released on 2017-10-18 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the application of artificial intelligence - specifically deep machine learning neural networks - to intermarket analysis. It examines the role that intermarket analysis plays in assisting traders to identify trends and predict changes in trend directions and prices, in view of the unprecedented extent to which global financial markets have become interconnected and interdependent. This book will be of interest to both experienced traders and newcomers to the financial markets, who are inclined toward technical analysis and wish to benefit financially from the wealth creation opportunities in today's global financial markets.
Download or read book Technical Analysis of Cryptocurrencies written by Darren Chu and published by . This book was released on 2018-03-09 with total page 53 pages. Available in PDF, EPUB and Kindle. Book excerpt: With cryptocurrencies and blockchain threatening to disrupt industries dominated by centralized platforms and layers of middlemen, investor interest in Bitcoin and Alt Coins surged in 2017, fueling a market bubble unlike any other. As of the time of this writing (Feb 10, 2018), the market bubble has popped. The question now is whether to continue shorting (or sell longs), or to begin buying in anticipation of a sustained rally off a major bottom. By understanding that price action, whether in cryptocurrencies or traditional asset classes like stock, bonds and commodities, reflects human psychology and all known information (whether publicly or privately available), traders can begin to anticipate price moves based on historical patterns. This book illustrates how technical analysis can be incorporated into cryptocurrency trading, improving a trader's odds of profitably trading cryptocurrencies, long or short. By mastering the most popular approaches to technical analysis, traders can drastically improve their ability to see past media hype and rumours, and to trade more objectively during market bubbles and subsequent crashes. The author first came across technical analysis in the late 90s, not believing it until he began teaching it to clients in 2005, and quickly reaping benefits when applying it to his own trading. He now uses technical analysis to drive more than 50% of his trading decisions, with the balance of consideration coming from fundamental analysis and management of trading psychology.The technical analysis concepts learned in this book can be applied to all liquid financial markets across all trading timeframes. A high level understanding of cryptocurrencies and their technology, along with standard risk management practices is assumed.
Download or read book The Future of Cryptocurrency written by Henry E Parkins and published by Independently Published. This book was released on 2024-03-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introducing "The Future of Cryptocurrency: Machine Learning and AI in Finance for Beginners and Experienced Investors" - your comprehensive guide to navigating the thrilling intersection of cutting-edge technology and the dynamic world of finance! Are you ready to unlock the potential of cryptocurrency and harness the power of machine learning and AI to elevate your investment strategy? Whether you're a seasoned investor seeking to stay ahead of the curve or a curious beginner eager to explore the exciting realm of digital finance, this book is your essential companion on the journey to financial success. Inside, you'll embark on an exhilarating exploration of the transformative potential of cryptocurrency, machine learning, and AI in revolutionizing the way we invest, trade, and manage our finances. From understanding the fundamentals of cryptocurrency to mastering advanced machine learning techniques for predictive analytics and algorithmic trading, this book covers it all. Discover how machine learning and AI are reshaping the financial landscape, enabling you to analyze market trends with precision, manage risk with confidence, and optimize your investment portfolio for maximum returns. Learn the ins and outs of decentralized finance (DeFi), delve into the world of quantum computing, and explore the future trends shaping the cryptocurrency market. Packed with practical insights, real-world examples, and actionable strategies, "The Future of Cryptocurrency" empowers you to seize the opportunities presented by the digital revolution and navigate the complexities of the ever-evolving financial ecosystem with ease. Whether you're a seasoned investor looking to stay ahead of the curve or a curious beginner eager to explore the world of digital finance, this book is your ultimate guide to unlocking the potential of cryptocurrency, machine learning, and AI in finance. Don't miss out on this transformative journey - grab your copy of "The Future of Cryptocurrency" today and embark on the path to financial success!
Download or read book Technical Analysis of Cryptocurrencies written by Chu Darren and published by . This book was released on 2018-03-20 with total page 54 pages. Available in PDF, EPUB and Kindle. Book excerpt: With cryptocurrencies and blockchain threatening to disrupt industries dominated by centralized platforms and layers of middlemen, investor interest in Bitcoin and Alt Coins surged in 2017, fueling a market bubble unlike any other. As of the time of this writing (Feb 10, 2018), the market bubble has popped. The question now is whether to continue shorting (or sell longs), or to begin buying in anticipation of a sustained rally off a major bottom. By understanding that price action, whether in cryptocurrencies or traditional asset classes like stock, bonds and commodities, reflects human psychology and all known information (whether publicly or privately available), traders can begin to anticipate price moves based on historical patterns. This book illustrates how technical analysis can be incorporated into cryptocurrency trading, improving a trader's odds of profitably trading cryptocurrencies, long or short. By mastering the most popular approaches to technical analysis, traders can drastically improve their ability to see past media hype and rumours, and to trade more objectively during market bubbles and subsequent crashes. The author first came across technical analysis in the late 90s, not believing it until he began teaching it to clients in 2005, and quickly reaping benefits when applying it to his own trading. He now uses technical analysis to drive more than 50% of his trading decisions, with the balance of consideration coming from fundamental analysis and management of trading psychology.The technical analysis concepts learned in this book can be applied to all liquid financial markets across all trading timeframes. A high level understanding of cryptocurrencies and their technology, along with standard risk management practices is assumed.
Download or read book AI Powered Profits written by Abebe-Bard Ai Woldemariam and published by Woldemariam. This book was released on 2024-02-14 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI-Powered Profits: Leveraging Technology in the Crypto Market with Bitcoin Crack the code of the crypto market with the power of AI! Conversational Chat Informative Book (Abe and Gemini) By Abebe-Bard AI Woldemariam (Pen Name) Abebe Gebre Woldemariam (Real Name) Tired of battling the volatile world of Bitcoin and other cryptocurrencies? AI-Powered Profits offers a revolutionary approach, harnessing the power of artificial intelligence to guide your investment decisions and unlock consistent profits. Join Abe and Gemini, an innovative duo, on a journey into the exciting world of AI-powered crypto trading. This engaging, conversational guide explains: The challenges of the crypto market: Understand the inherent volatility and learn how AI can overcome it. AI's game-changing potential: Discover how machine learning, deep learning, and other AI techniques analyze vast data sets, identify hidden patterns, and predict market movements. Specific AI tools and platforms: Explore platforms designed for Bitcoin trading, see real-life success stories, and learn how to choose the right tool for your goals. Balancing AI with human expertise: Understand the limitations of AI and why human judgment remains crucial for success. Building your own AI-powered strategy: Learn valuable tips on backtesting, risk management, and crafting a personalized trading approach. The future of AI in crypto: Dive into the exciting possibilities of advanced portfolio management and personalized recommendations. Bonus Section: Harnessing the Power of AI for Smarter Crypto Trading Go beyond the basics: Deepen your understanding with practical insights on sentiment analysis and automated trading. Learn from the best: Gain inspiration from case studies of successful AI-powered traders. Build your own AI edge: Follow a step-by-step guide to creating a winning strategy. Get ready for the future: Explore the cutting-edge advancements shaping the future of AI-powered crypto trading. AI-Powered Profits is your indispensable guide to navigating the ever-evolving crypto landscape. Whether you're a seasoned investor or a curious newcomer, this book empowers you to make informed decisions, leverage the latest technology, and unlock the full potential of your crypto journey. Disclaimer: Information may not always be accurate or reflect Google's views. Dedication: To Merab Abebe, and all who believe in the power of AI to improve our world. Copyright (c) February 2024 by GEMINI AND ABEBE GEBRE WOLDEMARIAM (
Download or read book Data Science for Economics and Finance written by Sergio Consoli and published by Springer Nature. This book was released on 2021 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
Download or read book Ensemble Algorithms and Their Applications written by Panagiotis Pintelas and published by . This book was released on 2020-09-16 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent decades, the development of ensemble learning methodologies has gained a significant attention from the scientific and industrial community, and found their application in various real-word problems. Theoretical and experimental evidence proved that ensemble models provide a considerably better prediction performance than single models. The main aim of this collection is to present the recent advances related to ensemble learning algorithms and investigate the impact of their application in a diversity of real-world problems. All papers possess significant elements of novelty and introduce interesting ensemble-based approaches, which provide readers with a glimpse of the state-of-the-art research in the domain.
Download or read book The Future of Finance written by Henri Arslanian and published by Springer. This book was released on 2019-07-15 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.
Download or read book Quantitative Methods for Economics and Finance written by J.E. Trinidad-Segovia and published by MDPI. This book was released on 2021-02-12 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of papers for the Special Issue “Quantitative Methods for Economics and Finance” of the journal Mathematics. This Special Issue reflects on the latest developments in different fields of economics and finance where mathematics plays a significant role. The book gathers 19 papers on topics such as volatility clusters and volatility dynamic, forecasting, stocks, indexes, cryptocurrencies and commodities, trade agreements, the relationship between volume and price, trading strategies, efficiency, regression, utility models, fraud prediction, or intertemporal choice.
Download or read book Alternative Assets and Cryptocurrencies written by Christian Hafner and published by MDPI. This book was released on 2019-07-26 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alternative assets such as fine art, wine, or diamonds have become popular investment vehicles in the aftermath of the global financial crisis. Correlation with classical financial markets is typically low, such that diversification benefits arise for portfolio allocation and risk management. Cryptocurrencies share many alternative asset features, but are hampered by high volatility, sluggish commercial acceptance, and regulatory uncertainties. This collection of papers addresses alternative assets and cryptocurrencies from economic, financial, statistical, and technical points of view. It gives an overview of their current state and explores their properties and prospects using innovative approaches and methodologies.
Download or read book Time Series Techniques for Economists written by Terence C. Mills and published by Cambridge University Press. This book was released on 1990 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the empirical analysis of time series in general. In this book, Terence Mills not only brings together recent research at the frontiers of the subject, but also analyses the areas of most importance to applied economics. It is an up-to-date text which extends the basic techniques of analysis to cover the development of methods that can be used to analyse a wide range of economic problems. The book analyses three basic areas of time series analysis: univariate models, multivariate models, and non-linear models. In each case the basic theory is outlined and then extended to cover recent developments. Particular emphasis is placed on applications of the theory to important areas of applied economics and on the computer software and programs needed to implement the techniques. This book clearly distinguishes itself from its competitors by emphasising the techniques of time series modelling rather than technical aspects such as estimation, and by the breadth of the models considered. It features many detailed real-world examples using a wide range of actual time series. It will be useful to econometricians and specialists in forecasting and finance and accessible to most practitioners in economics and the allied professions.
Download or read book Great Expectations written by Yuan Shih Chow and published by . This book was released on 1971 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt:
