ALGO TRADING CHEAT CODES: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems (Essential Algo Trading Package)
Algo trading and strategy development is hard, no question. But, does it really have to be so hard? The answer is "NO!" - if you follow the right approach, and get the right advice. Enter Champion Algo Trader Kevin Davey, and his book "Algo Trading Cheat Codes." In this groundbreaking book, Kevin reveals results of his research over millions of strategy backtests. He provides 57 "cheat codes" - tips you can use to build algo strategies faster and with more confidence. Some of the questions answered in this book: Is algo trading getting harder, and if so, what specific things can you do to make it easier? Is there an optimum reward to risk ratio for trade management, as many people claim? What bar size is the most amenable to creating algo strategies? Is exiting after a certain number of profitable closes, or unprofitable closes, a viable option for algo strategies? What mean reversion techniques work best? Is there a way to incorporate macro trends (bull,bear,flat) into your trading strategy? What exit is the best? How can your algos protect you during times of market uncertainty? You can go it alone, or you can take advantage of the cutting edge research by one of the world's premier retail algo traders. These "cheat codes" can easily save you significant time and money! <br><br> ASIN : B0948FFC58 <br> Publisher : Independently published (May 7, 2021) <br> Language : English <br> Paperback : 189 pages <br> ISBN-13 : 979-8500391773 <br> Item Weight : 9.3 ounces <br> Dimensions : 6 x 0.43 x 9 inches <br>
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ALGO TRADING CHEAT CODES: Techniques For Traders To Quickly And Efficiently Develop Better Algorithmic Trading Systems (Essential Algo Trading Package) -
Algo trading and strategy development is hard, no question. But, does it really have to be so hard? The answer is "NO!" - if you follow the right approach, and get the right advice. Enter Champion Algo Trader Kevin Davey, and his book "Algo Trading Cheat Codes." In this groundbreaking book, Kevin reveals results of his research over millions of strategy backtests. He provides 57 "cheat codes" - tips you can use to build algo strategies faster and with more confidence. Some of the questions answered in this book: Is algo trading getting harder, and if so, what specific things can you do to make it easier? Is there an optimum reward to risk ratio for trade management, as many people claim? What bar size is the most amenable to creating algo strategies? Is exiting after a certain number of profitable closes, or unprofitable closes, a viable option for algo strategies? What mean reversion techniques work best? Is there a way to incorporate macro trends (bull,bear,flat) into your trading strategy? What exit is the best? How can your algos protect you during times of market uncertainty? You can go it alone, or you can take advantage of the cutting edge research by one of the world's premier retail algo traders. These "cheat codes" can easily save you significant time and money!
ASIN : B0948FFC58 Publisher : Independently published (May 7, 2021) Language : English Paperback : 189 pages ISBN-13 : 979-8500391773 Item Weight : 9.3 ounces Dimensions : 6 x 0.43 x 9 inches
All the math we need to get into AI. Math and AI made easy...<br>Many industries are eager to integrate AI and data-driven technologies into their systems and operations. But to build truly successful AI systems, you need a firm grasp of the underlying mathematics. This comprehensive guide bridges the gap in presentation between the potential and applications of AI and its relevant mathematical foundations. <br>In an immersive and conversational style, the book surveys the mathematics necessary to thrive in the AI field, focusing on real-world applications and state-of-the-art models, rather than on dense academic theory. You'll explore topics such as regression, neural networks, convolution, optimization, probability, graphs, random walks, Markov processes, differential equations, and more within an exclusive AI context geared toward computer vision, natural language processing, generative models, reinforcement learning, operations research, and automated systems. With a broad audience in mind, including engineers, data scientists, mathematicians, scientists, and people early in their careers, the book helps build a solid foundation for success in the AI and math fields. <br>You'll be able to:<br> Comfortably speak the languages of AI, machine learning, data science, and mathematicsUnify machine learning models and natural language models under one mathematical structureHandle graph and network data with easeExplore real data, visualize space transformations, reduce dimensions, and process imagesDecide on which models to use for different data-driven projectsExplore the various implications and limitations of AI <br>
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<p> Sharing the knowledge of experts </p> <p> O'Reilly's mission is to change the world by sharing the knowledge of innovators. For over 40 years, we've inspired companies and individuals to do new things (and do them better) by providing the skills and understanding that are necessary for success. </p> <p> Our customers are hungry to build the innovations that propel the world forward. And we help them do just that. </p>
<br> Publisher : O'Reilly Media; 1st edition (February 14, 2023) <br> Language : English <br> Paperback : 602 pages <br> ISBN-10 : 1098107632 <br> ISBN-13 : 978-1098107635 <br> Item Weight : 2.15 pounds <br> Dimensions : 6.75 x 1.25 x 9 inches <br>
*Start your Data Science career using Python today!*<br>Are you ready to start your new exciting career? Ready to crush your machine learning career goals?<br><br>Are you overwhelmed with complexity of the books on this subject?<br><br>Then let this breezy and fun little book on Python and machine learning models make you a data scientist in 7 days!<br><br>First part of this book introduces Python basics including:<br>•Data Structures like Pandas <br>•Foundational libraries like Numpy, Seaborn and Scikit-Learn<br><br>Second part of this book shows you how to build predictive machine learning models step by step using techniques such as:<br>•Regression analysis<br>•Decision tree analysis<br>•Training and testing data models<br>•Tensor Flow, Keras and PyTorch<br>•Additional data science concepts like Classification Analysis, Clustering, Association Learning and Dimension Reduction<br><br>The final part of the book provides a structured framework on how to solve real world problems using data science and how to structure your data science project. <br><br>After reading this book you will be able to:<br>•Code in Python with confidence<br>•Build new machine learning models from scratch<br>•Know how to clean and prepare your data for analytics<br>•Speak confidently about statistical analysis techniques<br><br>Data Science was ranked the fast-growing field by LinkedIn and Data Scientist is one of the most highly sought after and lucrative careers in the world!<br><br>If you are on the fence about making the leap to a new and lucrative career, this is the book for you!<br><br>What sets this book apart from other books on the topic of Python and Machine learning: <br>•Step by step code examples and explanation<br>•Complex concepts explained visually<br>•Real world applicability of the machine learning models introduced<br>•Bonus free code samples that you can try yourself without any prior experience in Python!<br><br><br>What do I need to get started?<br><br>You will have a step by step action plan in place once you finish this book and finally feel that you, can master data science and machine learning and start lucrative and rewarding career! <br><br>Ready to dive in to the exciting world of Python and Machine Learning?<br><br>Then scroll up to the top and hit that BUY BUTTON!<br><br> <br><br> ASIN : B084WGCMG1 <br> Publication date : February 16, 2020 <br> Language : English <br> File size : 2363 KB <br> Text-to-Speech : Enabled <br> Screen Reader : Supported <br> Enhanced typesetting : Enabled <br> X-Ray : Not Enabled <br> Word Wise : Not Enabled <br> Sticky notes : On Kindle Scribe <br> Print length : 70 pages <br>
From the New York Times-bestselling author, a new volume on the history of human ingenuity—and its attendant breakthroughs and busts.<br><br>The world is never finished catching up with Vaclav Smil. In his latest and perhaps most readable book, Invention and Innovation, the prolific author—a favorite of Bill Gates—pens an insightful and fact-filled jaunt through the history of human invention. Impatient with the hype that so often accompanies innovation, Smil offers in this book a clear-eyed corrective to the overpromises that accompany everything from new cures for diseases to AI. He reminds us that even after we go quite far along the invention-development-application trajectory, we may never get anything real to deploy. Or worse, even after we have succeeded by introducing an invention, its future may be marked by underperformance, disappointment, demise, or outright harm.<br><br>Drawing on his vast breadth of scientific and historical knowledge, Smil explains the difference between invention and innovation. He then looks at three different types of inventions.<br><br>Inventions that failed to dominate as promised:<br>AirshipsNuclear fissionSupersonic flight<br>Inventions that turned disastrous:<br>Leaded gasoline DDTChlorofluorocarbons<br>Inventions we have long been promised (and that would be highly beneficial):<br>Travel in vacuum (hyperloop)Nitrogen-fixing cerealsNuclear fusion<br>Finally, he offers a “wish list” of inventions that we most urgently need to confront the staggering challenges of the twenty-first century.<br><br>Filled with engaging examples and pragmatic approaches, this book is a sobering account of the folly that so often attends human ingenuity—and how we can, and must, better align our expectations with reality. <br>
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<br> Publisher : The MIT Press (February 14, 2023) <br> Language : English <br> Hardcover : 232 pages <br> ISBN-10 : 0262048051 <br> ISBN-13 : 978-0262048057 <br> Item Weight : 1.05 pounds <br> Dimensions : 6.31 x 0.89 x 9.31 inches <br>
<p>A weapon of unimaginable power. A desperate mission to the center of the galaxy. Mankind's fate hangs in the balance.<br><br>Captain Thomas Holbrook has agonized over the thought of someday drawing a one-way mission. When he receives orders to divert his CentCom warship to the center of the galaxy, a region from which no vessel has ever returned, he comes face-to-face with his greatest fear.<br><br>It’s the year 2330. The “aughts,” robots that warred for independence from mankind, seek insurance against the ever-present human threat. An aught ship speeds to the galactic center for material to build a weapon that could destroy the Earth.<br><br>Holbrook can’t allow the aughts to create a planet-killing bomb. He enlists the help of Dr. Rebekah Riesen, a brilliant physicist with her own reasons for joining a mission that may not return, and Tentek, an aught informant who might be a double agent. Together, can they keep a mutinous crew at bay, stop the aughts at the center of the galaxy, and somehow find a way back home?</p><p>—<br><br>“I don’t think I can do the deal.”</p><p>That was the last thing I expected to hear when our biggest author walked into my office on that long-ago Saturday morning. Fiction Factory Books is a relatively new publishing house but it’s not our first rodeo. Twenty-six years ago, our shoestring operation had gained enough traction to be noticed by the big boys. We were seventeen days from selling out to a much larger house, the dream my then business partner and I had been working towards. Getting bought meant greater budgets and reach as well as a sizable stock payout. That was when our most important author asked for a meeting. He liked being a big fish in a small pond and was nervous about how things would change with the acquisition. If he bolted, the deal would fall apart. We needed him to be happy but we also couldn’t walk away from the buyout and abandon our dream.</p><p>“I don’t think I can do it,” he said from the other side of my desk, sitting on his hands with a pained face. The words that tumbled out of my mouth shock me, even to this day.</p><p>When evaluating new clients, we ask for the central idea behind their novel. For Jayson Adams, author of the military science fiction novel Infernum, it was exploring what would happen if you were ordered on a one-way mission. It’s amazing how a single thought can birth a compelling work. Of course, a one-sentence summary can’t do any book justice—the synopsis above goes into more detail. If it didn’t sound interesting, you should not purchase this book.</p><p>When we released Infernum, we didn’t want price to be an obstacle. The downside is it’s impossible for us to make money. Now that Infernum’s been out for awhile, we will raise the price and get our accountants off our backs. Just a head’s-up, in case you return here and wonder what happened.</p><p>As avid readers, we’re sometimes surprised by what meets the bar for publication these days. We can attest that Infernum is a remarkable novel. At nearly 140,000 words, it exceeds the “max” sci fi story length, usually a red flag for a first-time novelist. Luckily, that didn’t deter us. The story’s depth, character arcs, its humor, poignancy, twists and turns, it all feels like the work of a master craftsman, a sci fi adventure story for the ages.</p><p>If you’re a science fiction reader looking for action, intrigue, and suspense, Infernum is a gripping story of duty vs. survival, of man vs. his machine creations, of grit in the face of terrible odds. And unlike other novels that lose your interest a few chapters in, Infernum builds and builds, a roller coaster ride you won't want to put down as you race to the end.</p><p>www.fictionfactorybooks.com</p> <br><br> ASIN : B09PNWDCKF <br> Publisher : Fiction Factory Books (January 3, 2022) <br> Publication date : January 3, 2022 <br> Language : English <br> File size : 892 KB <br> Simultaneous device usage : Unlimited <br> Text-to-Speech : Enabled <br> Screen Reader : Supported <br> Enhanced typesetting : Enabled <br> X-Ray : Enabled <br> Word Wise : Enabled <br> Sticky notes : On Kindle Scribe <br> Print length : 404 pages <br>
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