AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
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| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Newark
John Wiley & Sons, Incorporated
2024
|
| Edition: | 1st ed |
| Online Access: | DE-2070s |
| Item Description: | Description based on publisher supplied metadata and other sources |
| Physical Description: | 1 Online-Ressource (177 Seiten) |
| ISBN: | 9781119661221 |
Staff View
MARC
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| 264 | 1 | |a Newark |b John Wiley & Sons, Incorporated |c 2024 | |
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| 505 | 8 | |a Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 The Block of Genesis -- An Immutable Ledger -- Bitcoin Mining -- The Blockchain Trilemma -- Security -- Scalability -- Decentralization -- From Web 2.0 to Web 3.0 -- Chapter 2 How Bitcoin Works -- Blockchain Technology -- Elliptic Curve Cryptography -- Examples of Elliptic Curves -- Cryptocurrency Storage -- Hot vs. Cold Storage Wallets -- Sybil Attacks -- Consensus Method Mechanism -- Proof of Work -- The Proof-of-Work Energy Consumption Debate -- Proof of Stake -- Proof of Work vs. Proof of Stake -- We Hate Forking Hackers! -- Staking Rewards -- Merge Right to Avoid Danger Ahead! -- Stable Coins and CBDCs -- Chapter 3 Valuing Bitcoin -- To Own Crypto Is to Understand Crypto -- So How Much Could One Bitcoin Eventually Be Worth? -- Hal Finney's Ambitious Bitcoin Valuation -- Bitcoin as Digital Gold -- Bitcoin's Production Value -- The Bitcoin Hash Rate -- Value as a Multiple of Mining Cost -- Relative Valuation -- Bitcoin Transaction Volume -- Stock-to-Flow -- Metcalf's Law -- From Long-term Predictions to Short-term Trading -- Chapter 4 Price Analysis for Prediction -- The Saga of Investors -- Are Market Prices Random? -- Trend Following -- Dow Theory -- 1. The Averages Discount Everything -- 2. The Market Has Three Trends -- 3. Major Trends Have Three Phases -- 4. The Averages Must Confirm Each Other -- 5. Volume Must Confirm the Trend -- 6. A Trend Is Assumed to Be in Effect Until It Gives Definite Signals That It Has Reversed -- Contrarian Theory -- Chapter 5 Artificial Intelligence for Price Prediction -- Prediction vs. Classification -- Technical Analysis -- Financial Market Prediction Models -- ChatGPT and Price Prediction -- Chapter 6 Traditional Trading Methods -- Moving Averages -- RSI -- MACD -- ATR -- Putting It All Together -- Chapter 7 Advanced Trading Techniques | |
| 505 | 8 | |a Relative Strength Analysis -- Bitcoin vs. the Total Cryptocurrency Market Cap -- Bitcoin Dominance -- Bitcoin Price Performance versus Dominance over Time -- Market Breadth-Metadata Analysis -- Seasonality and the Bitcoin Halving -- Chapter 8 Automating Signals and Strategies -- Quantitative Trading Strategies -- The Triple Exponential Moving Average (TEMA) System -- Using the False Breakout Finder (FBF) Study to Find Potential Reversals -- Monitoring the Market Sell-Off with Range Volatility Spike Alerts -- Programming Signals to Identify 52-Week Relative Highs and Lows -- Backtesting Big Data-the RSI Breadth Entry Trigger (rsiBET) -- Converting Signals into Fully Automated Strategies -- Chapter 9 Backtesting and Optimization -- Quantitative Trading Strategies and Parameter Optimization -- The Technical Trading Strategy -- The Test Data -- Selecting and Optimizing a Trading Strategy -- Chapter 10 The Evolution of Artificial Intelligence -- Infinite Monkey Theorem -- Beyond Brute Force -- Genetic Algorithms for Parameter Optimization -- The Traveling Salesman Problem -- Darwinian Natural Selection -- Financial Applications of Genetic Algorithms -- 10.1 Genetic Encoding -- 10.2 Types of Genetic Operations That Can Be Performed -- 10.3 The Fitness Function -- These Three Operators Are Then Used as Part of a Five-Step Process -- Empirical Results and Conclusions -- Unique Considerations of Cryptocurrency Trading -- Putting It All Together-Bitcoin AlphaBot™ -- Chapter 11 Case Study: Bitcoin AlphaBot™ -- Bitcoin AlphaBot™: Performance Analysis -- Monthly Performance vs Benchmarks -- Bitcoin AlphaBot™: Risk Management -- Bitcoin AlphaBot™: Statistical Analysis -- Sharpe vs. Sortino Ratio -- Chapter 12 Digital Asset Market Outlook-July 2023 -- 1) Sum-of-the-parts Valuation too Cheap -- 2) Regulation Is around the Corner -- 3) The Halving Is Coming | |
| 505 | 8 | |a 4) Synthetic Short Covering Rally Imminent -- 5) Spot ETF to Drive Bitcoin Price to 100k+ -- References -- Author Bio -- Index -- EULA. | |
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| contents | Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 The Block of Genesis -- An Immutable Ledger -- Bitcoin Mining -- The Blockchain Trilemma -- Security -- Scalability -- Decentralization -- From Web 2.0 to Web 3.0 -- Chapter 2 How Bitcoin Works -- Blockchain Technology -- Elliptic Curve Cryptography -- Examples of Elliptic Curves -- Cryptocurrency Storage -- Hot vs. Cold Storage Wallets -- Sybil Attacks -- Consensus Method Mechanism -- Proof of Work -- The Proof-of-Work Energy Consumption Debate -- Proof of Stake -- Proof of Work vs. Proof of Stake -- We Hate Forking Hackers! -- Staking Rewards -- Merge Right to Avoid Danger Ahead! -- Stable Coins and CBDCs -- Chapter 3 Valuing Bitcoin -- To Own Crypto Is to Understand Crypto -- So How Much Could One Bitcoin Eventually Be Worth? -- Hal Finney's Ambitious Bitcoin Valuation -- Bitcoin as Digital Gold -- Bitcoin's Production Value -- The Bitcoin Hash Rate -- Value as a Multiple of Mining Cost -- Relative Valuation -- Bitcoin Transaction Volume -- Stock-to-Flow -- Metcalf's Law -- From Long-term Predictions to Short-term Trading -- Chapter 4 Price Analysis for Prediction -- The Saga of Investors -- Are Market Prices Random? -- Trend Following -- Dow Theory -- 1. The Averages Discount Everything -- 2. The Market Has Three Trends -- 3. Major Trends Have Three Phases -- 4. The Averages Must Confirm Each Other -- 5. Volume Must Confirm the Trend -- 6. A Trend Is Assumed to Be in Effect Until It Gives Definite Signals That It Has Reversed -- Contrarian Theory -- Chapter 5 Artificial Intelligence for Price Prediction -- Prediction vs. Classification -- Technical Analysis -- Financial Market Prediction Models -- ChatGPT and Price Prediction -- Chapter 6 Traditional Trading Methods -- Moving Averages -- RSI -- MACD -- ATR -- Putting It All Together -- Chapter 7 Advanced Trading Techniques Relative Strength Analysis -- Bitcoin vs. the Total Cryptocurrency Market Cap -- Bitcoin Dominance -- Bitcoin Price Performance versus Dominance over Time -- Market Breadth-Metadata Analysis -- Seasonality and the Bitcoin Halving -- Chapter 8 Automating Signals and Strategies -- Quantitative Trading Strategies -- The Triple Exponential Moving Average (TEMA) System -- Using the False Breakout Finder (FBF) Study to Find Potential Reversals -- Monitoring the Market Sell-Off with Range Volatility Spike Alerts -- Programming Signals to Identify 52-Week Relative Highs and Lows -- Backtesting Big Data-the RSI Breadth Entry Trigger (rsiBET) -- Converting Signals into Fully Automated Strategies -- Chapter 9 Backtesting and Optimization -- Quantitative Trading Strategies and Parameter Optimization -- The Technical Trading Strategy -- The Test Data -- Selecting and Optimizing a Trading Strategy -- Chapter 10 The Evolution of Artificial Intelligence -- Infinite Monkey Theorem -- Beyond Brute Force -- Genetic Algorithms for Parameter Optimization -- The Traveling Salesman Problem -- Darwinian Natural Selection -- Financial Applications of Genetic Algorithms -- 10.1 Genetic Encoding -- 10.2 Types of Genetic Operations That Can Be Performed -- 10.3 The Fitness Function -- These Three Operators Are Then Used as Part of a Five-Step Process -- Empirical Results and Conclusions -- Unique Considerations of Cryptocurrency Trading -- Putting It All Together-Bitcoin AlphaBot™ -- Chapter 11 Case Study: Bitcoin AlphaBot™ -- Bitcoin AlphaBot™: Performance Analysis -- Monthly Performance vs Benchmarks -- Bitcoin AlphaBot™: Risk Management -- Bitcoin AlphaBot™: Statistical Analysis -- Sharpe vs. Sortino Ratio -- Chapter 12 Digital Asset Market Outlook-July 2023 -- 1) Sum-of-the-parts Valuation too Cheap -- 2) Regulation Is around the Corner -- 3) The Halving Is Coming 4) Synthetic Short Covering Rally Imminent -- 5) Spot ETF to Drive Bitcoin Price to 100k+ -- References -- Author Bio -- Index -- EULA. |
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| edition | 1st ed |
| format | Electronic eBook |
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| id | DE-604.BV049875651 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-19T05:22:09Z |
| institution | BVB |
| isbn | 9781119661221 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035215109 |
| oclc_num | 1435126389 |
| open_access_boolean | |
| owner | DE-2070s |
| owner_facet | DE-2070s |
| physical | 1 Online-Ressource (177 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE HWR_PDA_PQE |
| publishDate | 2024 |
| publishDateSearch | 2024 |
| publishDateSort | 2024 |
| publisher | John Wiley & Sons, Incorporated |
| record_format | marc |
| spelling | Leahy, Eoghan Verfasser aut AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence 1st ed Newark John Wiley & Sons, Incorporated 2024 ©2024 1 Online-Ressource (177 Seiten) txt rdacontent c rdamedia cr rdacarrier Description based on publisher supplied metadata and other sources Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 The Block of Genesis -- An Immutable Ledger -- Bitcoin Mining -- The Blockchain Trilemma -- Security -- Scalability -- Decentralization -- From Web 2.0 to Web 3.0 -- Chapter 2 How Bitcoin Works -- Blockchain Technology -- Elliptic Curve Cryptography -- Examples of Elliptic Curves -- Cryptocurrency Storage -- Hot vs. Cold Storage Wallets -- Sybil Attacks -- Consensus Method Mechanism -- Proof of Work -- The Proof-of-Work Energy Consumption Debate -- Proof of Stake -- Proof of Work vs. Proof of Stake -- We Hate Forking Hackers! -- Staking Rewards -- Merge Right to Avoid Danger Ahead! -- Stable Coins and CBDCs -- Chapter 3 Valuing Bitcoin -- To Own Crypto Is to Understand Crypto -- So How Much Could One Bitcoin Eventually Be Worth? -- Hal Finney's Ambitious Bitcoin Valuation -- Bitcoin as Digital Gold -- Bitcoin's Production Value -- The Bitcoin Hash Rate -- Value as a Multiple of Mining Cost -- Relative Valuation -- Bitcoin Transaction Volume -- Stock-to-Flow -- Metcalf's Law -- From Long-term Predictions to Short-term Trading -- Chapter 4 Price Analysis for Prediction -- The Saga of Investors -- Are Market Prices Random? -- Trend Following -- Dow Theory -- 1. The Averages Discount Everything -- 2. The Market Has Three Trends -- 3. Major Trends Have Three Phases -- 4. The Averages Must Confirm Each Other -- 5. Volume Must Confirm the Trend -- 6. A Trend Is Assumed to Be in Effect Until It Gives Definite Signals That It Has Reversed -- Contrarian Theory -- Chapter 5 Artificial Intelligence for Price Prediction -- Prediction vs. Classification -- Technical Analysis -- Financial Market Prediction Models -- ChatGPT and Price Prediction -- Chapter 6 Traditional Trading Methods -- Moving Averages -- RSI -- MACD -- ATR -- Putting It All Together -- Chapter 7 Advanced Trading Techniques Relative Strength Analysis -- Bitcoin vs. the Total Cryptocurrency Market Cap -- Bitcoin Dominance -- Bitcoin Price Performance versus Dominance over Time -- Market Breadth-Metadata Analysis -- Seasonality and the Bitcoin Halving -- Chapter 8 Automating Signals and Strategies -- Quantitative Trading Strategies -- The Triple Exponential Moving Average (TEMA) System -- Using the False Breakout Finder (FBF) Study to Find Potential Reversals -- Monitoring the Market Sell-Off with Range Volatility Spike Alerts -- Programming Signals to Identify 52-Week Relative Highs and Lows -- Backtesting Big Data-the RSI Breadth Entry Trigger (rsiBET) -- Converting Signals into Fully Automated Strategies -- Chapter 9 Backtesting and Optimization -- Quantitative Trading Strategies and Parameter Optimization -- The Technical Trading Strategy -- The Test Data -- Selecting and Optimizing a Trading Strategy -- Chapter 10 The Evolution of Artificial Intelligence -- Infinite Monkey Theorem -- Beyond Brute Force -- Genetic Algorithms for Parameter Optimization -- The Traveling Salesman Problem -- Darwinian Natural Selection -- Financial Applications of Genetic Algorithms -- 10.1 Genetic Encoding -- 10.2 Types of Genetic Operations That Can Be Performed -- 10.3 The Fitness Function -- These Three Operators Are Then Used as Part of a Five-Step Process -- Empirical Results and Conclusions -- Unique Considerations of Cryptocurrency Trading -- Putting It All Together-Bitcoin AlphaBot™ -- Chapter 11 Case Study: Bitcoin AlphaBot™ -- Bitcoin AlphaBot™: Performance Analysis -- Monthly Performance vs Benchmarks -- Bitcoin AlphaBot™: Risk Management -- Bitcoin AlphaBot™: Statistical Analysis -- Sharpe vs. Sortino Ratio -- Chapter 12 Digital Asset Market Outlook-July 2023 -- 1) Sum-of-the-parts Valuation too Cheap -- 2) Regulation Is around the Corner -- 3) The Halving Is Coming 4) Synthetic Short Covering Rally Imminent -- 5) Spot ETF to Drive Bitcoin Price to 100k+ -- References -- Author Bio -- Index -- EULA. Erscheint auch als Druck-Ausgabe Leahy, Eoghan AI-Powered Bitcoin Trading Newark : John Wiley & Sons, Incorporated,c2024 9781119661177 |
| spellingShingle | Leahy, Eoghan AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence Cover -- Title Page -- Copyright Page -- Contents -- Chapter 1 The Block of Genesis -- An Immutable Ledger -- Bitcoin Mining -- The Blockchain Trilemma -- Security -- Scalability -- Decentralization -- From Web 2.0 to Web 3.0 -- Chapter 2 How Bitcoin Works -- Blockchain Technology -- Elliptic Curve Cryptography -- Examples of Elliptic Curves -- Cryptocurrency Storage -- Hot vs. Cold Storage Wallets -- Sybil Attacks -- Consensus Method Mechanism -- Proof of Work -- The Proof-of-Work Energy Consumption Debate -- Proof of Stake -- Proof of Work vs. Proof of Stake -- We Hate Forking Hackers! -- Staking Rewards -- Merge Right to Avoid Danger Ahead! -- Stable Coins and CBDCs -- Chapter 3 Valuing Bitcoin -- To Own Crypto Is to Understand Crypto -- So How Much Could One Bitcoin Eventually Be Worth? -- Hal Finney's Ambitious Bitcoin Valuation -- Bitcoin as Digital Gold -- Bitcoin's Production Value -- The Bitcoin Hash Rate -- Value as a Multiple of Mining Cost -- Relative Valuation -- Bitcoin Transaction Volume -- Stock-to-Flow -- Metcalf's Law -- From Long-term Predictions to Short-term Trading -- Chapter 4 Price Analysis for Prediction -- The Saga of Investors -- Are Market Prices Random? -- Trend Following -- Dow Theory -- 1. The Averages Discount Everything -- 2. The Market Has Three Trends -- 3. Major Trends Have Three Phases -- 4. The Averages Must Confirm Each Other -- 5. Volume Must Confirm the Trend -- 6. A Trend Is Assumed to Be in Effect Until It Gives Definite Signals That It Has Reversed -- Contrarian Theory -- Chapter 5 Artificial Intelligence for Price Prediction -- Prediction vs. Classification -- Technical Analysis -- Financial Market Prediction Models -- ChatGPT and Price Prediction -- Chapter 6 Traditional Trading Methods -- Moving Averages -- RSI -- MACD -- ATR -- Putting It All Together -- Chapter 7 Advanced Trading Techniques Relative Strength Analysis -- Bitcoin vs. the Total Cryptocurrency Market Cap -- Bitcoin Dominance -- Bitcoin Price Performance versus Dominance over Time -- Market Breadth-Metadata Analysis -- Seasonality and the Bitcoin Halving -- Chapter 8 Automating Signals and Strategies -- Quantitative Trading Strategies -- The Triple Exponential Moving Average (TEMA) System -- Using the False Breakout Finder (FBF) Study to Find Potential Reversals -- Monitoring the Market Sell-Off with Range Volatility Spike Alerts -- Programming Signals to Identify 52-Week Relative Highs and Lows -- Backtesting Big Data-the RSI Breadth Entry Trigger (rsiBET) -- Converting Signals into Fully Automated Strategies -- Chapter 9 Backtesting and Optimization -- Quantitative Trading Strategies and Parameter Optimization -- The Technical Trading Strategy -- The Test Data -- Selecting and Optimizing a Trading Strategy -- Chapter 10 The Evolution of Artificial Intelligence -- Infinite Monkey Theorem -- Beyond Brute Force -- Genetic Algorithms for Parameter Optimization -- The Traveling Salesman Problem -- Darwinian Natural Selection -- Financial Applications of Genetic Algorithms -- 10.1 Genetic Encoding -- 10.2 Types of Genetic Operations That Can Be Performed -- 10.3 The Fitness Function -- These Three Operators Are Then Used as Part of a Five-Step Process -- Empirical Results and Conclusions -- Unique Considerations of Cryptocurrency Trading -- Putting It All Together-Bitcoin AlphaBot™ -- Chapter 11 Case Study: Bitcoin AlphaBot™ -- Bitcoin AlphaBot™: Performance Analysis -- Monthly Performance vs Benchmarks -- Bitcoin AlphaBot™: Risk Management -- Bitcoin AlphaBot™: Statistical Analysis -- Sharpe vs. Sortino Ratio -- Chapter 12 Digital Asset Market Outlook-July 2023 -- 1) Sum-of-the-parts Valuation too Cheap -- 2) Regulation Is around the Corner -- 3) The Halving Is Coming 4) Synthetic Short Covering Rally Imminent -- 5) Spot ETF to Drive Bitcoin Price to 100k+ -- References -- Author Bio -- Index -- EULA. |
| title | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_auth | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_exact_search | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_full | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_fullStr | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_full_unstemmed | AI-Powered Bitcoin Trading Developing an Investment Strategy with Artificial Intelligence |
| title_short | AI-Powered Bitcoin Trading |
| title_sort | ai powered bitcoin trading developing an investment strategy with artificial intelligence |
| title_sub | Developing an Investment Strategy with Artificial Intelligence |
| work_keys_str_mv | AT leahyeoghan aipoweredbitcointradingdevelopinganinvestmentstrategywithartificialintelligence |