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5 books on AI for Trading [PDF]
October 23, 2024 | 30 |
These books explain such topics as algorithmic trading, quantitative analysis, market prediction, and risk management, explaining how AI can enhance trading strategies and decision-making. They also explore various machine learning techniques and quantitative models used in the financial industry.
1. AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
2024 by Eoghan Leahy
In the shimmering, vertigo-inducing vortex of cryptocurrency markets, where fortunes are made and lost faster than a caffeinated squirrel can spot a nut, AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence is your improbability drive to success. Penned by Eoghan Leahy, this guide dives headfirst into the bafflingly complex world of Bitcoin trading, armed with the smug confidence of artificial intelligence and the kind of big data analytics that would make a Vogon poetry recital seem charmingly simple. Here, readers are introduced to the peculiar brilliance of distributed genetic algorithms (no, they’re not as terrifying as they sound) and trend-following strategies so automated, they practically whisper “Don’t Panic” into the chaotic abyss of the market. Whether you’re a trading veteran or someone who just discovered that "hodl" isn’t a typo, this book promises to decode the mysteries of Bitcoin trading, with a wit sharper than a Babel fish's retort and a practicality even Marvin the Paranoid Android would grudgingly approve of.
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2. AI in the Financial Markets: New Algorithms and Solutions
2023 by Federico Cecconi
If Marvin the Paranoid Android ever decided to dabble in the stock market, he’d probably find solace—or maybe just a deeper sense of existential dread—in AI in the Financial Markets: New Algorithms and Solutions. This is not your average tome of dry financial pontification but rather an audacious leap into the swirling maelstrom of algorithms, profit margins and the odd hope of making the whole thing vaguely comprehensible. Cecconi’s book is part tech-wizardry, part survival manual and part love letter to the dream that financial markets might one day stop being the universe’s biggest source of headaches. Perfect for anyone from pinstripe-clad market movers to harried regulators to curious tech buffs wondering what on Earth (or possibly Alpha Centauri) AI can do to wrangle the chaos.
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3. Python for Algorithmic Trading
2020 by Yves Hilpisch
In the vast and bewildering universe of finance, where numbers waltz and algorithms hum melodiously, a small yet irrepressibly ambitious creature known as Python for Algorithmic Trading emerges to demystify the art of algorithmic wizardry for mere mortals. Yves Hilpisch, with the precision of a Vogon constructor fleet (but mercifully without the poetry), ushers traders, academics and curious minds into a dazzling realm where Python reigns supreme. From conjuring financial data out of thin API air to teaching NumPy and pandas to perform feats of numerical acrobatics, this book reveals how to tame the markets—or at least nudge them gently with automated strategies that trade while you nap. With backtests, machine learning and online platforms like OANDA and FXCM in tow, it’s less about hitchhiking and more about algorithmically navigating the galaxy of finance, one code snippet at a time. Bring your towel; there may be bugs.
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4. Artificial Intelligence in Finance
2020 by Yves Hilpisch
In the sprawling, labyrinthine cosmos of finance, where numbers whirl and markets seem to possess a mind of their own, a new hitchhiker has emerged: artificial intelligence. Yves Hilpisch’s Artificial Intelligence in Finance is less a book and more an intergalactic guide to navigating the brave new world where machine learning algorithms don’t just crunch numbers—they gleefully unveil the hidden inefficiencies lurking in financial markets. With Python as your trusty towel, Hilpisch escorts readers—be they practitioners, students, or academics—through the quirks and quarks of neural networks and reinforcement learning, revealing how they can outwit the vast improbabilities of economic randomness. Along the way, he speculates (with the audacity of someone who knows the answer to life, the universe and everything) on what happens when AI gets so clever it might just redefine the concept of competition itself. Split into five galactic zones, the book is a delightful collision of practical examples and existential musings on whether humanity should cheer or worry about the looming financial singularity.
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5. Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
2018 by Stefan Jansen
In the galaxy of finance, where numbers are infinite and market trends rival the chaos of an intergalactic cocktail party, Hands-On Machine Learning for Algorithmic Trading emerges as the hitchhiker's guide to investment strategy. Armed with Python (the Ford Prefect of programming languages), you'll wrangle data as diverse as Vogon poetry and as cryptic as Zaphod Beeblebrox’s decisions, extracting meaning with tools like pandas, statsmodels and scikit-learn. From taming alternative data streams to training neural networks more complex than Marvin’s mood swings, this book takes you on a wild ride through Bayesian algorithms, ensemble shenanigans and manifold marvels. Whether you’re sentiment-scoring the latest news or embedding the cryptic jargon of financial reports with gensim, you’ll construct models sharper than a Pan Galactic Gargle Blaster and trading strategies cleverer than the mice. Just don’t forget your towel—or your API keys.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
1. AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence
2024 by Eoghan Leahy
In the shimmering, vertigo-inducing vortex of cryptocurrency markets, where fortunes are made and lost faster than a caffeinated squirrel can spot a nut, AI-Powered Bitcoin Trading: Developing an Investment Strategy with Artificial Intelligence is your improbability drive to success. Penned by Eoghan Leahy, this guide dives headfirst into the bafflingly complex world of Bitcoin trading, armed with the smug confidence of artificial intelligence and the kind of big data analytics that would make a Vogon poetry recital seem charmingly simple. Here, readers are introduced to the peculiar brilliance of distributed genetic algorithms (no, they’re not as terrifying as they sound) and trend-following strategies so automated, they practically whisper “Don’t Panic” into the chaotic abyss of the market. Whether you’re a trading veteran or someone who just discovered that "hodl" isn’t a typo, this book promises to decode the mysteries of Bitcoin trading, with a wit sharper than a Babel fish's retort and a practicality even Marvin the Paranoid Android would grudgingly approve of.
Download PDF
2. AI in the Financial Markets: New Algorithms and Solutions
2023 by Federico Cecconi
If Marvin the Paranoid Android ever decided to dabble in the stock market, he’d probably find solace—or maybe just a deeper sense of existential dread—in AI in the Financial Markets: New Algorithms and Solutions. This is not your average tome of dry financial pontification but rather an audacious leap into the swirling maelstrom of algorithms, profit margins and the odd hope of making the whole thing vaguely comprehensible. Cecconi’s book is part tech-wizardry, part survival manual and part love letter to the dream that financial markets might one day stop being the universe’s biggest source of headaches. Perfect for anyone from pinstripe-clad market movers to harried regulators to curious tech buffs wondering what on Earth (or possibly Alpha Centauri) AI can do to wrangle the chaos.
Download PDF
3. Python for Algorithmic Trading
2020 by Yves Hilpisch
In the vast and bewildering universe of finance, where numbers waltz and algorithms hum melodiously, a small yet irrepressibly ambitious creature known as Python for Algorithmic Trading emerges to demystify the art of algorithmic wizardry for mere mortals. Yves Hilpisch, with the precision of a Vogon constructor fleet (but mercifully without the poetry), ushers traders, academics and curious minds into a dazzling realm where Python reigns supreme. From conjuring financial data out of thin API air to teaching NumPy and pandas to perform feats of numerical acrobatics, this book reveals how to tame the markets—or at least nudge them gently with automated strategies that trade while you nap. With backtests, machine learning and online platforms like OANDA and FXCM in tow, it’s less about hitchhiking and more about algorithmically navigating the galaxy of finance, one code snippet at a time. Bring your towel; there may be bugs.
Download PDF
4. Artificial Intelligence in Finance
2020 by Yves Hilpisch
In the sprawling, labyrinthine cosmos of finance, where numbers whirl and markets seem to possess a mind of their own, a new hitchhiker has emerged: artificial intelligence. Yves Hilpisch’s Artificial Intelligence in Finance is less a book and more an intergalactic guide to navigating the brave new world where machine learning algorithms don’t just crunch numbers—they gleefully unveil the hidden inefficiencies lurking in financial markets. With Python as your trusty towel, Hilpisch escorts readers—be they practitioners, students, or academics—through the quirks and quarks of neural networks and reinforcement learning, revealing how they can outwit the vast improbabilities of economic randomness. Along the way, he speculates (with the audacity of someone who knows the answer to life, the universe and everything) on what happens when AI gets so clever it might just redefine the concept of competition itself. Split into five galactic zones, the book is a delightful collision of practical examples and existential musings on whether humanity should cheer or worry about the looming financial singularity.
Download PDF
5. Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
2018 by Stefan Jansen
In the galaxy of finance, where numbers are infinite and market trends rival the chaos of an intergalactic cocktail party, Hands-On Machine Learning for Algorithmic Trading emerges as the hitchhiker's guide to investment strategy. Armed with Python (the Ford Prefect of programming languages), you'll wrangle data as diverse as Vogon poetry and as cryptic as Zaphod Beeblebrox’s decisions, extracting meaning with tools like pandas, statsmodels and scikit-learn. From taming alternative data streams to training neural networks more complex than Marvin’s mood swings, this book takes you on a wild ride through Bayesian algorithms, ensemble shenanigans and manifold marvels. Whether you’re sentiment-scoring the latest news or embedding the cryptic jargon of financial reports with gensim, you’ll construct models sharper than a Pan Galactic Gargle Blaster and trading strategies cleverer than the mice. Just don’t forget your towel—or your API keys.
Download PDF
How to download PDF:
1. Install Google Books Downloader
2. Enter Book ID to the search box and press Enter
3. Click "Download Book" icon and select PDF*
* - note that for yellow books only preview pages are downloaded
