Where is money hiding in your A&E firm? June Jewell has written the ultimate guide to finding extra profits in your A&E firm. She describes the challenges faced by most firms, shares her wealth of knowledge about best practices for firm business management, and then delivers the goods with a 6-step process that is guaranteed to find lost dollars in any firm. In Find the Lost Dollars: 6 Steps to Increase Profits in Architecture, Engineering and Environmental Firms, you will learn to get the most from people, processes and technology to gain a competitive edge and increase your firm's profitability. This book is a resource that will provide even the most savvy business owner valuable advice that will change their firm's performance and prepare the firm's future leaders to successfully take the reins. -Understand the ten cultural traps that encourage bad behavior and reduce profits on your projects -Calculate the ROI from improving your business, and identify where to focus your attention to get the biggest financial impact. -Gain practical advice for improving nine areas of your business that can have a huge impact on your Win Rate, Utilization, and Project Profit Margin. -Implement a 6-step process to Find the Lost Dollars in your A&E firm For more information and free online tools to help find the lost dollars in your business, go to www.AECBusiness.com

There are two types of businesses:

Those you own

And those that own YOU

Most consultants, trainers, and educators today got into business because they wanted more freedom, more income, and to help more people. What they end up with are usually not wonderful businesses but high-maintenance monsters that give them less freedom than they had before they became entrepreneurs.

If you want to know how to create life-changing, world-class income for yourself - without creating the traditional 9-5 ball & chain business most entrepreneurs end up with, this book will teach you the strategies & formulas Taylor has deployed across thousands of client businesses. In this book you will learn the secrets to scaling safely, multiplying your income without sacrificing your profits, and hiring great talent to help your business grow without killing YOU in the process.

There's never been a handbook quite like this one. Whether you're just starting out or looking to break the 8 (or even 9) figure barriers - there's something profound and timeless you will learn in this book. It's filled with stories, models, frameworks & recipes that the modern day consulting or training business must learn to be sustain-able, durable, and enjoyable.

Small businesses are the backbone of the U.S. economy. They are the biggest job creators and offer a path to the American Dream. But for many, it is difficult to get the capital they need to operate and succeed.

In Fintech, Small Business & the American Dream, former U.S. Small Business Administrator and Senior Fellow at Harvard Business School, Karen G. Mills, focuses on the needs of small businesses for capital and how technology will transform the small business lending market. This is a market that has been plagued by frictions: it is hard for a lender to figure out which small businesses are creditworthy, and borrowers often don't know how much money or what kind of loan they need. Every small business is different; one day the borrower is a dry cleaner and the next a parts supplier, making it difficult for lenders to understand each business's unique circumstances. Today, however, big data and artificial intelligence have the power to illuminate the opaque nature of a smallbusiness's finances and make it easier for them access capital to weather bumpy cash flows or to invest in growth opportunities.

Beginning in the dark days following the 2008-9 recession and continuing through the crisis of the Covid-19 Pandemic, Mills charts how fintech has changed and will continue to change small business lending. In the new fintech landscape financial products are embedded in applications that small business owners use on daily basis, and data powered algorithms provide automated insights to determine which businesses are creditworthy. Digital challenger banks, big tech and traditional banks and credit card companies are deciding how they want to engage in the new lending ecosystem. Who will be the winners and losers? How should regulators respond? In this pivotal moment, Mills elucidates how financial innovation and wise regulation can restore a path to the American Dream by improving access to small business credit.

An ambitious book grappling with the broad significance of small business to the economy, the historical role of credit markets, the dynamics of innovation cycles, and the policy implications for regulation, this second edition of Fintech, Small Business & the American Dream is relevant to bankers, regulators and fintech entrepreneurs and investors; in fact, to anyone who is interested in the future of small business in America.

This is a guidebook on the five different methods of reclaiming gold from electronic e-wase. I always wanted an easy-to-understand step-by-step guide to the at-home ways of reclaiming gold. And this mini-book will walk you thru the five methods that i have used starting with the most basic process first. Using only everyday at-home chemicals to extract gold and other precious metals from the currently plentiful sources available thru the reclaiming of the endless supply of everyday scrap e-waste.

Table of contents:

- Tools and equipments for gold extraction

- All the chemicals and hazards

- Gold plated materials and flow chart

- Chemicaly extract gold from cpu guide

- Dissolving gold with chemicals

- Silting processe

- Seperate gold from zinc powder

- Desolve gold with aqua regia reaching 99% purity

- Percipitate the gold with sodium bisulfite

Yes! You can find gold, silver, platinum, palladium, and other precious metals. They're all around you. Maybe you've never thought about recovering gold and other precious metals from electronic scrap.

Although this method of gold extraction calls for household chemicals, that doesn't mean they are safe. Please be advised that you must handle these chemicals with care. Goggles, gloves, glass apparatus, and a very well-ventilated room with a fume hood or an outside area is highly recommended.

Harness the power of Python libraries to transform freely available financial market data into algorithmic trading strategies and deploy them into a live trading environment

Key Features:

- Follow practical Python recipes to acquire, visualize, and store market data for market research

- Design, backtest, and evaluate the performance of trading strategies using professional techniques

- Deploy trading strategies built in Python to a live trading environment with API connectivity

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

Discover how Python has made algorithmic trading accessible to non-professionals with unparalleled expertise and practical insights from Jason Strimpel, founder of PyQuant News and a seasoned professional with global experience in trading and risk management. This book guides you through from the basics of quantitative finance and data acquisition to advanced stages of backtesting and live trading.

Detailed recipes will help you leverage the cutting-edge OpenBB SDK to gather freely available data for stocks, options, and futures, and build your own research environment using lightning-fast storage techniques like SQLite, HDF5, and ArcticDB. This book shows you how to use SciPy and statsmodels to identify alpha factors and hedge risk, and construct momentum and mean-reversion factors. You'll optimize strategy parameters with walk-forward optimization using vectorbt and construct a production-ready backtest using Zipline Reloaded. Implementing all that you've learned, you'll set up and deploy your algorithmic trading strategies in a live trading environment using the Interactive Brokers API, allowing you to stream tick-level data, submit orders, and retrieve portfolio details.

By the end of this algorithmic trading book, you'll not only have grasped the essential concepts but also the practical skills needed to implement and execute sophisticated trading strategies using Python.

What You Will Learn:

- Acquire and process freely available market data with the OpenBB Platform

- Build a research environment and populate it with financial market data

- Use machine learning to identify alpha factors and engineer them into signals

- Use VectorBT to find strategy parameters using walk-forward optimization

- Build production-ready backtests with Zipline Reloaded and evaluate factor performance

- Set up the code framework to connect and send an order to Interactive Brokers

Who this book is for:

Python for Algorithmic Trading Cookbook equips traders, investors, and Python developers with code to design, backtest, and deploy algorithmic trading strategies. You should have experience investing in the stock market, knowledge of Python data structures, and a basic understanding of using Python libraries like pandas. This book is also ideal for individuals with Python experience who are already active in the market or are aspiring to be.

Table of Contents

- Acquire Free Financial Market Data with Cutting-edge Python Libraries

- Analyze and Transform Financial Market Data with pandas

- Visualize Financial Market Data with Matplotlib, Seaborn, and Plotly Dash

- Store Financial Market Data on Your Computer

- Build Alpha Factors for Stock Portfolios

- Vector-Based Backtesting with VectorBT

- Event-Based Backtesting Factor Portfolios with Zipline Reloaded

- Evaluate Factor Risk and Performance with Alphalens Reloaded

- Assess Backtest Risk and Performance Metrics with Pyfolio

- Set Up the Interactive Brokers Python API

- Manage Orders, Positions, and Portfolios with the IB API

- Deploy Strategies to a Live Environment

- Advanced Recipes for Market Data and Strategy Management

While the intrinsic value of a mineral project is still a key consideration, understanding the interrelationship between technical and financial risk to truly comprehend the long-term value of an asset helps companies make better investment (or divestment) decisions. Companies that can secure debt finance for both the development and acquisition of advanced projects have greater strategic flexibility. Understanding how debt impacts the valuation of projects allows for an objective approach to determining levels of gearing; this is relevant to both the investment banking and mining communities and is the core narrative of this book.

This third edition retains sections on both conventional and financial engineering treated in a quantitative manner with fresh case studies. New sections address softer issues around environmental impact and social licence from a qualitative perspective, albeit acknowledging that without the related approvals a mining licence will not be issued. The book also develops a completely fresh thread around the energy transition, recognising the drivers behind the decarbonisation of natural resource industries and the role played by oil and gas companies in developing renewable energy.

This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.

A remarkable look at how the growth, technology, and politics of high-frequency trading have altered global financial markets

In today's financial markets, trading floors on which brokers buy and sell shares face-to-face have increasingly been replaced by lightning-fast electronic systems that use algorithms to execute astounding volumes of transactions. Trading at the Speed of Light tells the story of this epic transformation. Donald MacKenzie shows how in the 1990s, in what were then the disreputable margins of the US financial system, a new approach to trading--automated high-frequency trading or HFT--began and then spread throughout the world. HFT has brought new efficiency to global trading, but has also created an unrelenting race for speed, leading to a systematic, subterranean battle among HFT algorithms.

In HFT, time is measured in nanoseconds (billionths of a second), and in a nanosecond the fastest possible signal--light in a vacuum--can travel only thirty centimeters, or roughly a foot. That makes HFT exquisitely sensitive to the length and transmission capacity of the cables connecting computer servers to the exchanges' systems and to the location of the microwave towers that carry signals between computer datacenters. Drawing from more than 300 interviews with high-frequency traders, the people who supply them with technological and communication capabilities, exchange staff, regulators, and many others, MacKenzie reveals the extraordinary efforts expended to speed up every aspect of trading. He looks at how in some markets big banks have fought off the challenge from HFT firms, and how exchanges sometimes engineer technical systems to favor certain types of algorithms over others.

Focusing on the material, political, and economic characteristics of high-frequency trading, Trading at the Speed of Light offers a unique glimpse into its influence on global finance and where it could lead us in the future.

This book provides a thorough overview of Bitcoin, cryptocurrencies, and digital assets and their impact on the future of money and finance. It provides a 360-degree practical, concise, and engaging overview of all the topics that one interested about digital assets needs to know including how Bitcoin and Ethereum work, an overview of the most important digital assets in the market, and deep dives into the various types of digital assets including cryptocurrencies, stable coins, CBDCs, utility tokens, security tokens, NFTs, and many others. The book also covers all the essentials including DeFi, crypto mining, crypto regulations, crypto investors, crypto exchanges, and other ecosystem players as well as some of the latest global crypto trends from Web 3.0 and the Metaverse to DAOs and quantum computing.

Written by a leading industry expert and thought leader who advises some of the leading organisations in the digital assets space globally, this book is ideal foranyone looking to acquire a solid foundational knowledge base of this fast-growing field and understand its potential impact on the future of money.

Artificial Intelligence (AI) is today widely implemented in finance. It is used in many ways, ranging from financial analysis to fraud detection.

What were once manual and time-consuming tasks can now be done by AI in a fraction of the time and with greater accuracy. But there is so much about AI that it can be overwhelming:

What it is? And how can it be implemented?

Prabash Galagedara, a bestselling author on AI and an industry executive with over 20 years of experience in data and analytics, finance and technology, outlines in simple terms the different components and aspects of AI as well as its applications.

AI for Finance Professionals is not just written for finance professionals but also suitable for novices in AI.

Just months after retiring at the age of 35 and selling her staffing business for seven figures, Heidi McNulty lost her husband to PTSD-related suicide. As the mother of three young children facing a mountain of uncertainty, McNulty was determined to protect all that she had built for her family-and committed to evolving her mindset and values in order to survive.

In Buying Time, McNulty teaches young entrepreneurs the foundational strategies she used to achieve her own financial independence, sharing hard-earned lessons about how financial hygiene can buy time when you're faced with unexpected life crises.

McNulty's service-oriented approach and easy-to-follow guidelines on investing, budgeting and mentorship will teach you how to:

-Become debt-free while building up savings for future investing

-Grow any kind of business sustainably and profitably

-Build assets that will put cash in your pocket and pay your bills

-Develop your own value by focusing and refining your goals

And much more.

In all, Buying Time is a unique guide to personal finance that prepares young people for life's unpredictability by focusing on what matters most: investing in their values and embracing a growth mindset for emotional and financial resilience.

From the coauthor of the bestseller Blockchain Revolution comes the foundational book on cryptoassets, decentralized finance, and the transformation of value.

In tune with the crypto Zeitgeist, Alex Tapscott brings us a well-researched and highly accessible book on the peer-to-peer marketplaces and open economic systems that are supporting new digital assets like NFTs, CBDCs, stablecoins, crypto derivatives, and more. Tapscott writes,

If bitcoin was the spark for the financial services revolution, then DeFi and digital assets are the accelerant. The fire will engulf firms that fail to innovate, adapt, and embrace this hot new industry. The conflagration will suck oxygen from centralized systems and blow it into a new decentralized web. The financial phoenix that rises will be virtually unrecognizable from the system we have today.

This book is about more than dislocating market intermediaries. It's about Web 3's unleashing new business models and organizational capabilities that will transform existing industries and redefine the architecture of our institutions. Leaders ignore these signs at their own risk.

This book provides a thorough overview of Bitcoin, cryptocurrencies, and digital assets and their impact on the future of money and finance. It provides a 360-degree practical, concise, and engaging overview of all the topics that one interested about digital assets needs to know including how Bitcoin and Ethereum work, an overview of the most important digital assets in the market, and deep dives into the various types of digital assets including cryptocurrencies, stable coins, CBDCs, utility tokens, security tokens, NFTs, and many others. The book also covers all the essentials including DeFi, crypto mining, crypto regulations, crypto investors, crypto exchanges, and other ecosystem players as well as some of the latest global crypto trends from Web 3.0 and the Metaverse to DAOs and quantum computing.

Written by a leading industry expert and thought leader who advises some of the leading organisations in the digital assets space globally, this book is ideal foranyone looking to acquire a solid foundational knowledge base of this fast-growing field and understand its potential impact on the future of money.

Central bank digital currency (CBDC) is on the horizon, with more than 130 central banks globally considering such projects. But is this beneficial for citizens and the financial system? This book offers a comprehensive guide on the intricate subjects of CBDCs, stablecoins, and tokenized deposits. Authored by an industry expert who has actively participated in the development of CBDC solutions, this book demystifies the complexities of CBDC and digital assets, presenting both the opportunities and challenges with practical examples and real-world contexts.

The book covers the history of money and the background of cryptography and technology architectures that are shaping the future of payments. It presents the risks and opportunities that these digital assets and CBDCs mean for our society. It discusses how CBDCs and stablecoins can potentially stabilize digital payment systems, offers opportunities for immediate settlements, and facilitate efficient cross-border payments. However, it also notes the significant challenges, including legal and regulatory complexities, social impacts, privacy concerns, security threats, and the risk of mass-surveillance. The book explores the different characteristics of digital assets, the options available for each characteristic (like privacy, sovereignty, ...) and provides detailed knowledge to judge the merits of the solutions proposed by private and public players.

A must-read for anyone looking to understand the rapidly evolving world of digital currencies, this book encourages critical thinking about the opportunities and challenges presented by CBDCs and other digital assets and prompts readers to consider the vital aspects of privacy, security, and governance in an increasingly complex digital financial landscape.

The third edition updates the text in two significant ways. First, it updates the presentation to reflect changes that have occurred in financial markets since the publication of the 2nd edition. One such change is with respect to the over-the-counter interest rate derivatives markets and the abolishment of LIBOR as a reference rate. Second, it updates the theory to reflect new research related to asset price bubbles and the valuation of options. Asset price bubbles are a reality in financial markets and their impact on derivative pricing is essential to understand. This is the only introductory textbook that contains these insights on asset price bubbles and options.

In the pages of Top Secret: Keys to Wealth, I unlock a revolutionary pathway to financial success that transcends conventional wisdom. This comprehensive guide is a treasure trove of exclusive knowledge on secret banking methods, providing readers with the tools to access substantial funds from financial institutions. Armed with these funds, I guide readers in strategically launching multiple businesses and franchises, ensuring a secure path to prosperity. Delving into undisclosed bank strategies, the book reveals the intricacies of obtaining a staggering $180,000, empowering aspiring entrepreneurs to kickstart their ventures. Beyond banking secrets, the narrative explores critical topics such as CPN, trade lines, E-commerce, and Trust accounts, illuminating ways to leverage these tools for financial growth.

As the author, my expertise extends to authorizing user accounts, offering invaluable insights into maximizing credit opportunities and expanding financial resources. Top Secret: Keys to Wealth transcends the basics, delving into the complexities of establishing LLCs and corporations. Readers gain profound knowledge on starting these entities, accompanied by valuable tips on logo acquisition for enhanced branding efforts. My unequivocal promise is that this book guarantees success and secures one's position in life. By following the carefully laid out strategies and insider knowledge, readers will realize their financial dreams, rendering other business and get-rich-quick books obsolete. This game-changing guide is poised to transform lives with its groundbreaking insights, strategic methodologies, and exclusive secrets, providing a comprehensive roadmap to financial abundance. Prepare to embark on a journey toward lasting success, armed with the ultimate resource to shape your financial destiny.

This report shows how adopting good practices around climate-resilient fiscal planning can help decision-makers in Asia and the Pacific ramp up public and private resources to plug the yawning adaptation financing gap.

Outlining a three-step framework, the report explains the need to effectively assess the rising impacts of climate change, develop a fiscal risk management strategy, and optimize available resources. It underscores why coherent action hinges on a solid understanding of the impacts of climate change and how central finance agencies can better integrate climate risk into decision-making to lead the drive towards economic resilience.

Futures play an integral role in the financial markets. Tens of millions of contracts are traded on futures exchanges around the globe every day. In recent years, futures have been incorporated into a wide array of financial securities and have become the driving force behind their price dynamics. Managed futures portfolios and commodity trading advisors (CTAs), with hundreds of billions under management, are major parts of the hedge fund industry.This book presents a unique stochastic control approach to dynamic futures trading. Multiple stochastic models are designed to capture the salient features of various market regimes and dynamics. They are useful for pricing futures contracts and building futures portfolios. The authors analyze the mathematical problems associated with futures trading problems in different market environments. A series of numerical examples are presented to illustrate the optimal trading strategies. In addition, analytic formulas and numerical methods are provided for fast implementation. The book is useful for practitioners interested in futures trading as well as graduate students and researchers in Quantitative Finance.

While the intrinsic value of a mineral project is still a key consideration, understanding the interrelationship between technical and financial risk to truly comprehend the long-term value of an asset helps companies make better investment (or divestment) decisions. Companies that can secure debt finance for both the development and acquisition of advanced projects have greater strategic flexibility. Understanding how debt impacts the valuation of projects allows for an objective approach to determining levels of gearing; this is relevant to both the investment banking and mining communities and is the core narrative of this book.

This third edition retains sections on both conventional and financial engineering treated in a quantitative manner with fresh case studies. New sections address softer issues around environmental impact and social licence from a qualitative perspective, albeit acknowledging that without the related approvals a mining licence will not be issued. The book also develops a completely fresh thread around the energy transition, recognising the drivers behind the decarbonisation of natural resource industries and the role played by oil and gas companies in developing renewable energy.

An essential introduction to data analytics and Machine Learning techniques in the business sector

In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs--especially of key results--and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves.

This book can help readers become well-equipped with the following skills:

• To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions
• To apply effective data dimension reduction tools to enhance supervised learning
• To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose

The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam.

Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking.