Ideal for traders wanting to learn the intricacies of applying technical analysis to real world trading. Nick Radge explains how to use price action to make the most of your winning trades and, importantly, to quickly recognise a losing trade and exit your position. He provides new insight into common market theory, including Elliott wave, micro patterns, risk management and exit strategies. Nick Radge shows you how to manage your trades – how to get costs down, how to cut your losses and let your profits run. Trading is about making money and Nick Radge shows you how to skew the numbers in your favour. “At the risk of over-selling this book, it is simply outstanding.” MRed on Amazon
Most share traders try to find a system that is right most of the time. As a result, they spend their time alternating between being a marginal winner and a marginal loser, and searching for more superior systems. Successful trader and author Nick Radge argues that it does not matter which indicator, time frame or software package is superior - they are nothing but tools. What does matter is minimising your losses and maximising your profits. In Adaptive Analysis for Australian Stocks, Radge explains how to use price action to make the most of your winning trades and, importantly, to quickly recognise a losing trade and exit your position. Radge breaks down and provides new insight into common market theory, including Elliott wave theory, micro patterns, risk management and exit strategies. This theory is then applied to the price action of Australian stocks, always with the same focus - making more when you win and losing less when you lose.
What’s the fastest way to lose money? Follow the herd. Nick Radge stopped following the herd many years ago. As a trader and stock broker, Nick learnt to recognise what the herd were doing and how they react to financial information. He also realised that it made no sense. Are you one of the herd? Here’s a test: If a stock’s price is falling do you think it represents good value, i.e. it’s cheap? OneTel and HIH were not cheap when they eventually delisted in 2001. ABC Learning was not cheap when it delisted in 2008. How about Bear Sterns, Lehman Brothers, Trump Entertainment or Kodak? Billabong does not look cheap at the moment! A stock price in motion tends to stay in motion; Unholy Grails will show you how to be on the positive side of this statement. Nick Radge is focused on momentum investing; purchasing stocks that are trending up. Nick shows you how to hitch a ride on stocks in an uptrend or protect your capital during sustained bear markets. Unholy Grails goes against almost everything your stock broker, financial planner and your fund manager will ever tell you. Considering that in 2008 capital managed by fund managers dropped up to 50% we are in desperate need of an alternative way of thinking. In Unholy Grails, Nick Radge details a road less travelled; a compilation of practical strategies for investors looking for long term gains with minimum daily effort. “I am shocked that so many Mum and Dad investors were financially and emotionally battered during the GFC. The financial planners and fund managers they were relying on for advice gave them no advice: just the same old ‘buy and hold’ strategy that simply does not work in a collapsing market. In Unholy Grails I define specific strategies for investors, allowing them to manage their own investments and stop paying fees to financial planners and advisors,” said the author, Nick Radge. Whether investing for your retirement or using an active investment strategy to manage your personal wealth, Nick Radge examines and tests numerous investment strategies to help determine the right one for you. Don’t expect the same old, worn out advice from Nick Radge. His latest book is not called Unholy Grails for nothing!
The Weekend Trend Trader is a trading strategy designed for people who want a simple to follow trading plan that trades just once a week. An ideal investment strategy for people who work full time but are actively planning for their retirement. Weekend Trend Trader is designed for and tested on the US stock Market. The Weekend Trend Trader strategy is a turnkey strategy that uses no discretion. In other words the strategy has a set of rules and users should understand why they entered a trade and when and how they will exit. Because the rules are strictly and mathematically defined we are able to back test the strategy on historical data. This enables us to understand the strategy’s nuances and therefore better understand how the journey to success will be travelled. The strategy is a combination of several tools that: * ensures you will always be aligned with the trend of the broader market * enters positions at specific points and with reasonable confirmation * manages existing positions with a trailing stop loss * defends existing positions if the trend of the broader market reverses * outlines how much to invest in each position. We will fully step through each of these points in detail and slowly build the system from the ground up.
Stock exchanges were crucial in developing Australia by greasing the often-creaking wheels of investment. Their spluttering into life in the 1880s was fractious and disorganized, but fledgling stockbrokers couldn't ignore the need for marketplaces to trade stocks and shares in the burgeoning mining industry. They struggled through the great economic distress of the Federation Drought in the 1890s and emerged as coherent, collegiate markets based in state capitals that endured for 80 years. Globalisation and technology disrupted the stock exchanges, forcing them to amalgamated and then become public company itself. Now global banks using technology to dominate the modern era. Dark pools and high frequency trading have the ASX scrambling to stay relevant. Yet it still holds some aces: transparent pricing guides and the scaffolding to support a range of investment products. The book reviews the often turbulent history of what has become the ASX, highlighting the contribution of key individuals and events.
History shows there is enough momentum leading into an ex-dividend date and beyond to extract profits. In this eBook Nick Radge, The Chartist, introduces a simple rule-based approach to capture these potential gains, as well as protect capital during a GFC-type bear market. This is a short, straight to the point, no-fluff eBook ideal for investors wanting to take advantage of dividends. The strategy is written for and tested on the ASX, the Australian Market.
We often hear about the successes of traders from around the world but rarely get an insight into home-grown, Australian traders. Nick Radge explores the lives of Australian traders who are not known in the public domain yet make their living from the markets. This is more than just a collection of good stories - its aim is to get answers that can be applied to your own trading.
This book really began in 1980 with our first microcomputer, an Apple II +. The great value of the Apple II + was that we could take the computer programs we had been building on mainframe and mini-computers, and make them available to the many fisheries biologists who also had Apple II + 's. About 6 months after we got our first Apple, John Glaister came through Vancouver and saw what we were doing and realized that his agency (New South Wales State Fisheries) had the same equipment and could run the same programs. John organized a training course in Australia where we showed about 25 Australian fisheries biologists how to use microcomputers to do many standard fisheries analyses. In the process of organizing this and sub sequent courses we developed a series of lecture notes. Over the last 10 years these notes have evolved into the chapters of this book.
This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns. Using time series data from diverse financial sectors, it shows how the concepts and techniques of statistical analysis, machine learning, and deep learning are applied to build robust predictive models, as well as the ways in which these models can be used for forecasting the future prices of stocks and constructing profitable portfolios of investments. All the concepts and methods used in the book have been implemented using Python and R languages on TensorFlow and Keras frameworks. The volume will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.
