Loss aversion is a cognitive bias that causes traders to hold onto losing positions for too long and close out winning positions too early. This locks in systematic losses over time. Loss aversion is exacerbated by high leverage trading and can be overcome by reducing leverage and increasing it gradually. Algorithmic trading strategies should not be affected by loss aversion if the open/close parameters are set appropriately based on performance, rather than emotions.
An apples to apples comparison of experience across all types of trading styles. Scalpers, swingers, Ex is the measure that determines whether a strategy's performance is statistically speaking different from luck
A forex trading strategy is a technique used by traders to determine when to buy and sell currency pairs based on technical analysis, fundamentals, or developed trading signals. Effective strategies include selecting markets, establishing entry and exit points, determining position size, and developing trading tactics. Traders should evaluate whether a strategy remains profitable and suited to current market conditions, and be willing to modify or change strategies when necessary to maintain effectiveness.
The Speculation is, however, a very demanding one. We provide you with competent advice and individual support.
Each customer has its own character and its own Philosophy. Our experience and our Know-how allow us to provide excellent support to the customers.
At the conclusion of our work you will realize your knowledge and progress successfully. We support and optimized your behavio
This document discusses a research study that analyzed the impact of leverage, risk management, and volatility-based position sizing on the long-term performance of simple moving average crossover trading strategies. The research tested different risk levels (2% and 4% per trade) and stop loss placement points (1N, 2N, 1UDR, 2UDR units) across 10 stock indexes, commodities, and currencies. The results showed that strategies with higher risk (4%) and tighter stop losses (1x UDR unit) tended to produce the best long-term results, while strategies with wider stop losses performed the worst. The study supports using smaller risk and keeping losses small on each trade.
Andrew Palashewsky developed the Advance IQ Capital Model beginning in 2011 to systematically trade futures, currencies, and ETFs using proprietary momentum indicators. Backtesting shows the model achieved strong risk-adjusted returns across various assets during bull and bear markets from 2008-2014, outperforming benchmarks. The model adapts rules based on defined market phases and suppresses signals in choppy conditions to limit losses.
The document discusses using moving average bands to identify trading opportunities in trends and counter-trends. Specifically, it outlines rules for entering long positions when price hits the lower band during an uptrend, and entering short positions when price hits the upper band during a downtrend. It also discusses using higher timeframe moving average crossovers and MACD signals to confirm trend and band signals. Waiting for price to close back inside the bands is recommended for potential counter-trend trades rather than trying to catch the bottom. Examples of both trend-following and counter-trend band strategies are provided.
The document provides an introduction to a lecture on modern portfolio theory. It discusses key concepts such as risk, capital markets, market efficiency, and diversification. The lecturer, Muhammad Usman, outlines the course material including two textbooks and notes that the lectures will provide an introduction to important concepts while students are expected to do additional private study.
Loss aversion is a cognitive bias that causes traders to hold onto losing positions for too long and close out winning positions too early. This locks in systematic losses over time. Loss aversion is exacerbated by high leverage trading and can be overcome by reducing leverage and increasing it gradually. Algorithmic trading strategies should not be affected by loss aversion if the open/close parameters are set appropriately based on performance, rather than emotions.
An apples to apples comparison of experience across all types of trading styles. Scalpers, swingers, Ex is the measure that determines whether a strategy's performance is statistically speaking different from luck
A forex trading strategy is a technique used by traders to determine when to buy and sell currency pairs based on technical analysis, fundamentals, or developed trading signals. Effective strategies include selecting markets, establishing entry and exit points, determining position size, and developing trading tactics. Traders should evaluate whether a strategy remains profitable and suited to current market conditions, and be willing to modify or change strategies when necessary to maintain effectiveness.
The Speculation is, however, a very demanding one. We provide you with competent advice and individual support.
Each customer has its own character and its own Philosophy. Our experience and our Know-how allow us to provide excellent support to the customers.
At the conclusion of our work you will realize your knowledge and progress successfully. We support and optimized your behavio
This document discusses a research study that analyzed the impact of leverage, risk management, and volatility-based position sizing on the long-term performance of simple moving average crossover trading strategies. The research tested different risk levels (2% and 4% per trade) and stop loss placement points (1N, 2N, 1UDR, 2UDR units) across 10 stock indexes, commodities, and currencies. The results showed that strategies with higher risk (4%) and tighter stop losses (1x UDR unit) tended to produce the best long-term results, while strategies with wider stop losses performed the worst. The study supports using smaller risk and keeping losses small on each trade.
Andrew Palashewsky developed the Advance IQ Capital Model beginning in 2011 to systematically trade futures, currencies, and ETFs using proprietary momentum indicators. Backtesting shows the model achieved strong risk-adjusted returns across various assets during bull and bear markets from 2008-2014, outperforming benchmarks. The model adapts rules based on defined market phases and suppresses signals in choppy conditions to limit losses.
The document discusses using moving average bands to identify trading opportunities in trends and counter-trends. Specifically, it outlines rules for entering long positions when price hits the lower band during an uptrend, and entering short positions when price hits the upper band during a downtrend. It also discusses using higher timeframe moving average crossovers and MACD signals to confirm trend and band signals. Waiting for price to close back inside the bands is recommended for potential counter-trend trades rather than trying to catch the bottom. Examples of both trend-following and counter-trend band strategies are provided.
The document provides an introduction to a lecture on modern portfolio theory. It discusses key concepts such as risk, capital markets, market efficiency, and diversification. The lecturer, Muhammad Usman, outlines the course material including two textbooks and notes that the lectures will provide an introduction to important concepts while students are expected to do additional private study.
Forex trading may appear to be both difficult and dangerous. Some even believe that one cannot win in trading without the ability to comprehend complex charts. This is not to be the case . There are various profitable simple Forex strategy
Describes the 7 Buckets in the Tradeslide Risk Masterscale - as well as how Tradeslide Risk describes risk @ 95% confidence for a hypothetical investor
The document provides an overview of the stock market and how it works. It discusses what stocks are, how they are traded, and some key stock market indexes like the BSE SENSEX and Nifty 50. It also covers important concepts like fundamental analysis, technical analysis, and factors that influence stock prices. The document concludes with tips for making money in the stock market through diversification, patience, and avoiding overtrading.
The QuantCon Keynote: "Counter Trend Trading – Threat or Complement to Trend ...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
Over the past 30 years, trend following has been a remarkably successful futures trading strategy. Once a fringe trading style barely known outside of Chicago, it has grown into a 300 billion dollar global industry. It would be very difficult indeed to claim that trend following doesn’t work in the face of decades of empirical evidence otherwise. But trend following isn’t completely without problems.
It is well known that classic trend following models tend to lose money on a majority of trades. This is not necessarily an issue, since trend following is all about accepting a large number of small losses in exchange for a small number of large gains. As long as the net is positive, all is fine. That is the underlying idea of the strategy and it has historically worked very well.
However, if you dissect trend following models you can find weaknesses which could be exploited. This is what counter trend trading models are about. These counter trend models usually operate on a shorter time frame and with nearly opposite logic.
As counter trend models are gaining popularity in the systematic trading hedge fund field, a few questions arise. Are these models a threat to trend following? Can they be a complement to trend following? Can trend following be adapted to be less susceptible to the counter trend issue?
In this slideshare we will teach forex traders risk management. We will teach them how much moneu to invest, how to minimize risk with a profitable trading system, demo trading, stop orders, and money management. Scaling out lots and moving stop orders.
Be sure to check out our complete trading system for 28 pairs at Forexearlywarning.com.
https://www.forexearlywarning.com/
Learn about the different types of algorithmic trading and how it actually works. Algorithmic trading is a growing trend. I Know First has an advanced self-learning algorithm that has helped many investors achieve magnificent returns. I Know First's live portfolio returned 60.66% in 2013, beating the S&P 500 by over 30%!
The document provides an overview of indexes, currencies, and strategies for trading in the forex market. It defines what indexes are and lists examples such as the Dow Jones, S&P 500, FTSE 100. It then explains how currency exchange works, including different types of transactions like spots, forwards, swaps, and futures. Key factors that influence currency rates are also outlined, such as economic performance, interest rates, and political events. The document concludes by listing strategies for analyzing markets, managing risk, and becoming a successful forex trader.
Risk management is amongst the most overlooked yet very critical aspects of systematic trading. In this webinar, you’ll get to learn risk management techniques to overcome the most common challenges. This session will explain you the concepts of optimal leverage, hedging and risk indicators.
- Risk Management and the real challenge
- Optimal leverage: Kelly formula, Maximum drawdown
- Market risk: Stop Losses, volatility targeting, value-at-risk
- Hedging techniques
- Risk indicators
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links:
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on LinkedIn: https://www.linkedin.com/company/quantinsti
Follow us on Twitter: https://twitter.com/QuantInsti
This document contains terms and conditions, a table of contents, and multiple chapters about Forex trading. It provides an introduction to Forex markets, discusses developing the right mindset for trading, how to trade on Forex including opening an account and starting trades, the importance of having realistic expectations and patience, and tips for avoiding emotional trading. The overall focus is on educating readers about the basics of Forex trading and developing successful strategies and habits.
Algorithmic trading and Machine Learning by Michael Kearns, Professor of Comp...Quantopian
Traditional financial markets have undergone rapid technological change due to increased automation and the introduction of new exchanges and mechanisms. Such changes have brought with them challenging new problems in algorithmic trading, many of which invite a machine learning approach. In this talk, Michael will examine several algorithmic trading problems, focusing on their novel ML aspects, including limiting market impact, dealing with censored data, and incorporating risk considerations.
This presentation was part of QuantCon 2015 hosted by Quantopian. Visit us at: www.quantopian.com.
Technical analysis, market efficiency, and behavioral financeBabasab Patil
Technical analysis uses patterns in stock prices and trading volume to predict future market movements and identify trading opportunities. The efficient market hypothesis states that stock prices instantly reflect all available information, making technical analysis ineffective. However, behavioral finance suggests psychological factors influence investor decisions and market anomalies exist, challenging the notion of complete market efficiency.
"A Framework for Developing Trading Models Based on Machine Learning" by Kris...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
Machine learning is improving facets of our lives as diverse as health screening, transportation and even our entertainment choices. It stands to reason that machine learning can also improve trading performance, however the practical application is fraught with pitfalls and obstacles that nullify the benefits and present a high barrier to entry. Building on background information and introductory material, Kris will propose a framework for efficient and robust experimentation with machine learning methods for algorithmic trading. The framework's objective is to arrive at parsimonious models whose positive past performance is unlikely to be due to chance. The framework is demonstrated via practical examples of various machine learning models for algorithmic trading.
Many traders-beginners are sure, that success on Forex depends mainly on a trading strategy and risk management, and don't think about the psychological aspect of the trading. However, emotions may affect trading process very much. The psychology of the Forex trading really exists and it is one of the things that differs a successful trader from a losing one.
This document provides tips for improving risk management in forex trading. It recommends controlling losses by carefully setting stop-loss orders and not moving them too far. It also advises using correct lot sizes for your account size rather than overly large positions, and to trade with moderate leverage rather than high leverage which increases risk. Other tips include diversifying currency pairs traded instead of doubling down on one direction, avoiding greed by not trying to squeeze every pip from the market, knowing when to exit trades, and always continuing to learn and improve your skills. Proper money management through following these risk management rules is essential for long-term success in forex trading.
Many beginner traders wonder which market better to choose: Forex or stock market, futures, CFDs, binary options or any other market.
Let's compare all of them and find the difference between them.
Este documento discute cómo las redes sociales han influido en la escritura y la comunicación. Explica que el uso de abreviaturas, siglas y emoticones ha creado un nuevo lenguaje más rápido, aunque a veces esto perjudica la claridad. También analiza si el alfabeto es suficiente para escribir en las redes sociales y concluye que si bien los emoticones son útiles, es importante no descuidar las normas ortográficas para que los mensajes sean comprensibles.
Forex trading may appear to be both difficult and dangerous. Some even believe that one cannot win in trading without the ability to comprehend complex charts. This is not to be the case . There are various profitable simple Forex strategy
Describes the 7 Buckets in the Tradeslide Risk Masterscale - as well as how Tradeslide Risk describes risk @ 95% confidence for a hypothetical investor
The document provides an overview of the stock market and how it works. It discusses what stocks are, how they are traded, and some key stock market indexes like the BSE SENSEX and Nifty 50. It also covers important concepts like fundamental analysis, technical analysis, and factors that influence stock prices. The document concludes with tips for making money in the stock market through diversification, patience, and avoiding overtrading.
The QuantCon Keynote: "Counter Trend Trading – Threat or Complement to Trend ...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
Over the past 30 years, trend following has been a remarkably successful futures trading strategy. Once a fringe trading style barely known outside of Chicago, it has grown into a 300 billion dollar global industry. It would be very difficult indeed to claim that trend following doesn’t work in the face of decades of empirical evidence otherwise. But trend following isn’t completely without problems.
It is well known that classic trend following models tend to lose money on a majority of trades. This is not necessarily an issue, since trend following is all about accepting a large number of small losses in exchange for a small number of large gains. As long as the net is positive, all is fine. That is the underlying idea of the strategy and it has historically worked very well.
However, if you dissect trend following models you can find weaknesses which could be exploited. This is what counter trend trading models are about. These counter trend models usually operate on a shorter time frame and with nearly opposite logic.
As counter trend models are gaining popularity in the systematic trading hedge fund field, a few questions arise. Are these models a threat to trend following? Can they be a complement to trend following? Can trend following be adapted to be less susceptible to the counter trend issue?
In this slideshare we will teach forex traders risk management. We will teach them how much moneu to invest, how to minimize risk with a profitable trading system, demo trading, stop orders, and money management. Scaling out lots and moving stop orders.
Be sure to check out our complete trading system for 28 pairs at Forexearlywarning.com.
https://www.forexearlywarning.com/
Learn about the different types of algorithmic trading and how it actually works. Algorithmic trading is a growing trend. I Know First has an advanced self-learning algorithm that has helped many investors achieve magnificent returns. I Know First's live portfolio returned 60.66% in 2013, beating the S&P 500 by over 30%!
The document provides an overview of indexes, currencies, and strategies for trading in the forex market. It defines what indexes are and lists examples such as the Dow Jones, S&P 500, FTSE 100. It then explains how currency exchange works, including different types of transactions like spots, forwards, swaps, and futures. Key factors that influence currency rates are also outlined, such as economic performance, interest rates, and political events. The document concludes by listing strategies for analyzing markets, managing risk, and becoming a successful forex trader.
Risk management is amongst the most overlooked yet very critical aspects of systematic trading. In this webinar, you’ll get to learn risk management techniques to overcome the most common challenges. This session will explain you the concepts of optimal leverage, hedging and risk indicators.
- Risk Management and the real challenge
- Optimal leverage: Kelly formula, Maximum drawdown
- Market risk: Stop Losses, volatility targeting, value-at-risk
- Hedging techniques
- Risk indicators
Learn more about our EPAT™ course here: https://www.quantinsti.com/epat/
Most Useful links:
Visit us at: https://www.quantinsti.com/
Like us on Facebook: https://www.facebook.com/quantinsti/
Follow us on LinkedIn: https://www.linkedin.com/company/quantinsti
Follow us on Twitter: https://twitter.com/QuantInsti
This document contains terms and conditions, a table of contents, and multiple chapters about Forex trading. It provides an introduction to Forex markets, discusses developing the right mindset for trading, how to trade on Forex including opening an account and starting trades, the importance of having realistic expectations and patience, and tips for avoiding emotional trading. The overall focus is on educating readers about the basics of Forex trading and developing successful strategies and habits.
Algorithmic trading and Machine Learning by Michael Kearns, Professor of Comp...Quantopian
Traditional financial markets have undergone rapid technological change due to increased automation and the introduction of new exchanges and mechanisms. Such changes have brought with them challenging new problems in algorithmic trading, many of which invite a machine learning approach. In this talk, Michael will examine several algorithmic trading problems, focusing on their novel ML aspects, including limiting market impact, dealing with censored data, and incorporating risk considerations.
This presentation was part of QuantCon 2015 hosted by Quantopian. Visit us at: www.quantopian.com.
Technical analysis, market efficiency, and behavioral financeBabasab Patil
Technical analysis uses patterns in stock prices and trading volume to predict future market movements and identify trading opportunities. The efficient market hypothesis states that stock prices instantly reflect all available information, making technical analysis ineffective. However, behavioral finance suggests psychological factors influence investor decisions and market anomalies exist, challenging the notion of complete market efficiency.
"A Framework for Developing Trading Models Based on Machine Learning" by Kris...Quantopian
Presented at QuantCon Singapore 2016, Quantopian's quantitative finance and algorithmic trading conference, November 11th.
Machine learning is improving facets of our lives as diverse as health screening, transportation and even our entertainment choices. It stands to reason that machine learning can also improve trading performance, however the practical application is fraught with pitfalls and obstacles that nullify the benefits and present a high barrier to entry. Building on background information and introductory material, Kris will propose a framework for efficient and robust experimentation with machine learning methods for algorithmic trading. The framework's objective is to arrive at parsimonious models whose positive past performance is unlikely to be due to chance. The framework is demonstrated via practical examples of various machine learning models for algorithmic trading.
Many traders-beginners are sure, that success on Forex depends mainly on a trading strategy and risk management, and don't think about the psychological aspect of the trading. However, emotions may affect trading process very much. The psychology of the Forex trading really exists and it is one of the things that differs a successful trader from a losing one.
This document provides tips for improving risk management in forex trading. It recommends controlling losses by carefully setting stop-loss orders and not moving them too far. It also advises using correct lot sizes for your account size rather than overly large positions, and to trade with moderate leverage rather than high leverage which increases risk. Other tips include diversifying currency pairs traded instead of doubling down on one direction, avoiding greed by not trying to squeeze every pip from the market, knowing when to exit trades, and always continuing to learn and improve your skills. Proper money management through following these risk management rules is essential for long-term success in forex trading.
Many beginner traders wonder which market better to choose: Forex or stock market, futures, CFDs, binary options or any other market.
Let's compare all of them and find the difference between them.
Este documento discute cómo las redes sociales han influido en la escritura y la comunicación. Explica que el uso de abreviaturas, siglas y emoticones ha creado un nuevo lenguaje más rápido, aunque a veces esto perjudica la claridad. También analiza si el alfabeto es suficiente para escribir en las redes sociales y concluye que si bien los emoticones son útiles, es importante no descuidar las normas ortográficas para que los mensajes sean comprensibles.
Entrega del 100% de las unidades del proyecto Playa Escondida, terrenos en Jama, Pedernales Manabí Ecuador, detalle fotográfico del proyecto en la actualidad.
This document discusses a feasibility study for a proposed veggie bread business. It acknowledges those who helped with the study, including professors and respondents. The technical study section describes the proposed production process, which involves mixing dry and wet ingredients along with vegetables like malunggay. It would be produced in Cagayan de Oro City and follow all sanitary regulations for bakeries. The feasibility study evaluates the technical, marketing, financial, management, and socioeconomic aspects of the proposed business.
The document discusses concepts in biostratigraphy and lithostratigraphy. It explains that lithostratigraphic correlation allows construction of a composite stratigraphic column by matching continuous rock formations between different parks, while biostratigraphy uses index fossils to match rocks of the same age. Different types of biozones are described, including taxon range zones defined by the first and last appearances of species, and concurrent range zones defined by overlapping ranges.
The document appears to contain mathematical equations and formulas related to functions and variables. It defines several variables including J, G, X, and establishes relationships between them using equal signs and operations like addition and subtraction. The goal seems to be deriving one variable or function in terms of others.
As Áreas de Atuação do Profissional de TIElvis Fusco
Este currículo resume as qualificações e experiência de Prof. Dr. Elvis Fusco. Ele possui doutorado e mestrado em Ciência da Informação e é coordenador dos cursos de Ciência da Computação e Sistemas de Informação no Centro Universitário Eurípides de Marília. Além disso, é empresário na área de TI e presidente da ASSERTI.
The document provides an overview of the courier industry and FedEx's position within it. It begins with a brief history of the industry from the 1700s to present day. It then discusses the current state, noting tight competition between major players like UPS and FedEx, the impact of e-commerce growth, and trends in different geographic segments. The document concludes by focusing on FedEx specifically, highlighting its priorities around financial returns, customer service, and business relationships.
El documento analiza la situación de Juan, un niño triqui, a la luz de las tres dimensiones del Índice de Inclusión: Culturas, Políticas y Prácticas. La dimensión de Culturas muestra que el ambiente escolar es discriminatorio hacia los niños indígenas. La dimensión de Políticas señala que la escuela no ha establecido iniciativas para fomentar el respeto a la diversidad. La dimensión de Prácticas sugiere que la maestra carece de experiencia y preparación para brindar una educación inclus
The document provides guidance on the keys to becoming a profitable trader. It discusses five factors that determine success: 1) mastering a trading strategy, 2) managing risk, 3) knowing your trading numbers, 4) using a structured feedback process, and 5) not relying solely on trial and error. The document provides examples of strategies, risk management plans, and metrics to track to develop mastery over these critical areas.
This document introduces the TradeSlide Challenge, which aims to help traders prove their skills to potential investors. It does this by tracking traders' performance and risk management over time using a system of "badges" of different colors that represent different skill levels. Traders can improve their badges and overall score by focusing on the elements that measure important trading skills like risk management, discipline, and handling losses. The document provides information on understanding the badges, how to improve one's score, and where to find help through TradeSlide's knowledge base and mentor system.
The document discusses the essential elements for successful trading, drawing an analogy to driving a race car. It identifies five key elements: 1) training and education, 2) technique/strategy, 3) stop loss placement and risk/reward ratios, 4) money management, and 5) psychology. For each element, it provides details on strategies and concepts traders should understand to improve their skills and maximize profits over the long run.
Learn key ideas for designing a profitable automated trading system for futures, stocks, or forex. Make money trading bonds, oil, gold, and the euro while away from the trading screen. Courses available as well as trading signals for lease.
CMC Markets Trading Smart Series: Planning your trading strategyCMCMarketsSG
This document discusses strategies for successful trading. It explains that trading success depends on achieving the right balance between two key ratios: the percentage of winning trades (success ratio) and the average profit compared to the average loss (pay-off ratio). Neither ratio is more important on its own - the combination is what matters. It introduces the concept of expectancy, which measures the expected profit or loss for each dollar of risk taken over many trades. A strategy's expectancy helps evaluate its risk-reward profile and potential for long-term success. Traders should aim for strategies with a positive expectancy, though a minimum threshold above zero depends on individual circumstances.
This document summarizes key chapters and concepts from the book "Trading Risk" by Kenneth L. Grant. It focuses on chapters about setting performance objectives, understanding profit/loss patterns over time, assessing risk at the portfolio and individual trade level. The summary emphasizes evaluating trade performance metrics, identifying strengths in different trade types, and monetizing average holding periods to efficiently turnover trades for consistent profits. The overall goal discussed is effectively managing risk at the portfolio and individual trade level for performance management of a trading account.
This document provides an overview and introduction to trading currencies (forex) for beginners. It discusses the basics of what forex is, including the structure of the interbank market, how retail traders can now participate through brokers, and the different types of forex trades. It then introduces technical analysis concepts like charts and candlestick patterns that traders can use to identify trading signals. Specifically, it outlines the 6 key candlestick patterns (3 buy, 3 sell signals) that provide signals on when to enter trades. Finally, it discusses the basic "rules" of the forex market in terms of support and resistance levels and how bulls and bears interact to move prices up or down. The document aims to educate newcomers on
Earnex Exchange aims to help investors enhance their profit potential by following and copying the trading strategies of seasoned traders. You simply pick a trader of choice and copy their trading performance onto your account.
New Plan Trading Company - Stock Market Active Tradingjlaw01
Learn more about New Plan Trading Company, and our philosophy on trading in today's stock market. If you have been paying attention to the stock market recently, you’ve noticed the “Buy and Hold” strategy of the past no longer works. If you realize you should be more active with your investments, but the thought of actively trading the stock market makes you start sweating, contact me to learn more about our trading philosophy, and how becoming a part of our Team can make a world of difference! Check out this Slideshare Powerpoint link for a brief overview and give me a call! Together, we can make a difference!
This document discusses a price action trading strategy using risk management and position sizing. It will cover understanding price action and using moving averages to identify trends. It will provide examples of analyzing stocks using weekly and monthly charts. The presentation will also cover developing a risk management strategy through calculating position sizes based on account size and risk tolerance. It aims to teach traders how to balance risk and reward to successfully trade with price action over time.
Have you ever caught yourself dreaming of a trip to Spain in the summer, that brand new set of golf clubs, or even the holiday home down in Cape Town you've always wanted?
Who says they only have to be dream?
Not me.
I want you to have these things…
That’s why today I want to tell you that whatever you're dreaming about, my simple Forex methodology and techniques could help put you on the road to all of this and more!
Aikido Masterclass - Starting Your Algorithmic Investing Journey.pdfJamesForsyth21
A deep dive into quantitative investing.
- What is quantitative investing?
- Exploring factor investing? (what are they?)
- Types of quantitative strategies?
- Managing Risk
- Live demo: start quant investing with Aikido Finance.
This document discusses performance (Pf) as it relates to investing. It provides two methods for evaluating a trading strategy's performance - the Monkey Test and the Leverage Illusion. The Monkey Test simulates returns from random trading to compare to an actual strategy. The Leverage Illusion examines how a strategy's returns are influenced by leverage decisions. Comparing a strategy's results on both tests can indicate how consistent its performance is and rule out returns due solely to luck. Focusing on developing trading skills like risk management is advised to improve long-term performance. Questions from traders are welcomed to expand the knowledge base.
This document provides instructions for using the PivotBreaker trading method for forex markets. The method uses daily pivot points to identify potential support and resistance levels. It enters trades when a pivot level is decisively broken on an hourly chart, with the stop loss placed at the previous candle and the take profit target at the next pivot level. Trades are cancelled if not entered within 45 minutes. The strategy aims for a reward to risk ratio of at least 2:1 and limits risk to 1% of the account per trade. Examples are provided of both buy and sell trade set ups and executions according to the rules.
The document discusses three main problems faced by forex traders and provides solutions to help traders earn $1 million in one year. The three main problems are: 1) brokers are interested in traders losing money on small accounts, 2) trading with high risk is needed to earn money quickly on small deposits, and 3) market strategies stop working as markets change. It recommends finding a stable strategy, trading with low risk of 2-3% of the deposit, attracting investors over time, and using a professional trade copier to manage multiple accounts without delays. An appendix discusses a forex robot strategy that has been stable since 2009 and an example of calculating potential profits over 3 years using its past performance.
Chaos Cruncher is the most advanced iteration of an automatic trading system designed, developed and used by Quant Trade. As our leading trading system, we have devised a way to offer it to our clients as a system service, in our Commodity Trading Advisor, or as a desktop application.
Understanding the myths of market trends and patternsJia Yee Poh
This document provides a summary of a guide on forex trading trends and patterns. It discusses determining market trends correctly and increasing the profitability of trading systems by only taking trades in the direction of strong trends. It also covers how to draw reliable trend lines and recognize chart patterns to identify trading opportunities. The document stresses the importance of trend analysis and only trading when the trend is clear to avoid losses from temporary movements against the overall trend.
The document discusses futures and options trading and associated risks. It notes that futures and options markets have large potential rewards but also large risks, and traders must be aware of and willing to accept those risks. It also notes that past performance is not indicative of future results and that hypothetical or simulated trading results have limitations compared to actual performance records.
The document discusses futures and options trading and associated risks. It notes that futures and options markets have large potential rewards but also large risks, and traders must be aware of and willing to accept those risks. It also notes that past performance is not indicative of future results and that hypothetical or simulated trading performance results have limitations compared to actual performance records.
OJP data from firms like Vicinity Jobs have emerged as a complement to traditional sources of labour demand data, such as the Job Vacancy and Wages Survey (JVWS). Ibrahim Abuallail, PhD Candidate, University of Ottawa, presented research relating to bias in OJPs and a proposed approach to effectively adjust OJP data to complement existing official data (such as from the JVWS) and improve the measurement of labour demand.
South Dakota State University degree offer diploma Transcriptynfqplhm
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Vicinity Jobs’ data includes more than three million 2023 OJPs and thousands of skills. Most skills appear in less than 0.02% of job postings, so most postings rely on a small subset of commonly used terms, like teamwork.
Laura Adkins-Hackett, Economist, LMIC, and Sukriti Trehan, Data Scientist, LMIC, presented their research exploring trends in the skills listed in OJPs to develop a deeper understanding of in-demand skills. This research project uses pointwise mutual information and other methods to extract more information about common skills from the relationships between skills, occupations and regions.
Abhay Bhutada, the Managing Director of Poonawalla Fincorp Limited, is an accomplished leader with over 15 years of experience in commercial and retail lending. A Qualified Chartered Accountant, he has been pivotal in leveraging technology to enhance financial services. Starting his career at Bank of India, he later founded TAB Capital Limited and co-founded Poonawalla Finance Private Limited, emphasizing digital lending. Under his leadership, Poonawalla Fincorp achieved a 'AAA' credit rating, integrating acquisitions and emphasizing corporate governance. Actively involved in industry forums and CSR initiatives, Abhay has been recognized with awards like "Young Entrepreneur of India 2017" and "40 under 40 Most Influential Leader for 2020-21." Personally, he values mindfulness, enjoys gardening, yoga, and sees every day as an opportunity for growth and improvement.
TEST BANK Principles of cost accounting 17th edition edward j vanderbeck mari...Donc Test
TEST BANK Principles of cost accounting 17th edition edward j vanderbeck maria r mitchell.docx
TEST BANK Principles of cost accounting 17th edition edward j vanderbeck maria r mitchell.docx
TEST BANK Principles of cost accounting 17th edition edward j vanderbeck maria r mitchell.docx
In a tight labour market, job-seekers gain bargaining power and leverage it into greater job quality—at least, that’s the conventional wisdom.
Michael, LMIC Economist, presented findings that reveal a weakened relationship between labour market tightness and job quality indicators following the pandemic. Labour market tightness coincided with growth in real wages for only a portion of workers: those in low-wage jobs requiring little education. Several factors—including labour market composition, worker and employer behaviour, and labour market practices—have contributed to the absence of worker benefits. These will be investigated further in future work.
Optimizing Net Interest Margin (NIM) in the Financial Sector (With Examples).pdfshruti1menon2
NIM is calculated as the difference between interest income earned and interest expenses paid, divided by interest-earning assets.
Importance: NIM serves as a critical measure of a financial institution's profitability and operational efficiency. It reflects how effectively the institution is utilizing its interest-earning assets to generate income while managing interest costs.
Independent Study - College of Wooster Research (2023-2024) FDI, Culture, Glo...AntoniaOwensDetwiler
"Does Foreign Direct Investment Negatively Affect Preservation of Culture in the Global South? Case Studies in Thailand and Cambodia."
Do elements of globalization, such as Foreign Direct Investment (FDI), negatively affect the ability of countries in the Global South to preserve their culture? This research aims to answer this question by employing a cross-sectional comparative case study analysis utilizing methods of difference. Thailand and Cambodia are compared as they are in the same region and have a similar culture. The metric of difference between Thailand and Cambodia is their ability to preserve their culture. This ability is operationalized by their respective attitudes towards FDI; Thailand imposes stringent regulations and limitations on FDI while Cambodia does not hesitate to accept most FDI and imposes fewer limitations. The evidence from this study suggests that FDI from globally influential countries with high gross domestic products (GDPs) (e.g. China, U.S.) challenges the ability of countries with lower GDPs (e.g. Cambodia) to protect their culture. Furthermore, the ability, or lack thereof, of the receiving countries to protect their culture is amplified by the existence and implementation of restrictive FDI policies imposed by their governments.
My study abroad in Bali, Indonesia, inspired this research topic as I noticed how globalization is changing the culture of its people. I learned their language and way of life which helped me understand the beauty and importance of cultural preservation. I believe we could all benefit from learning new perspectives as they could help us ideate solutions to contemporary issues and empathize with others.
Fabular Frames and the Four Ratio ProblemMajid Iqbal
Digital, interactive art showing the struggle of a society in providing for its present population while also saving planetary resources for future generations. Spread across several frames, the art is actually the rendering of real and speculative data. The stereographic projections change shape in response to prompts and provocations. Visitors interact with the model through speculative statements about how to increase savings across communities, regions, ecosystems and environments. Their fabulations combined with random noise, i.e. factors beyond control, have a dramatic effect on the societal transition. Things get better. Things get worse. The aim is to give visitors a new grasp and feel of the ongoing struggles in democracies around the world.
Stunning art in the small multiples format brings out the spatiotemporal nature of societal transitions, against backdrop issues such as energy, housing, waste, farmland and forest. In each frame we see hopeful and frightful interplays between spending and saving. Problems emerge when one of the two parts of the existential anaglyph rapidly shrinks like Arctic ice, as factors cross thresholds. Ecological wealth and intergenerational equity areFour at stake. Not enough spending could mean economic stress, social unrest and political conflict. Not enough saving and there will be climate breakdown and ‘bankruptcy’. So where does speculative design start and the gambling and betting end? Behind each fabular frame is a four ratio problem. Each ratio reflects the level of sacrifice and self-restraint a society is willing to accept, against promises of prosperity and freedom. Some values seem to stabilise a frame while others cause collapse. Get the ratios right and we can have it all. Get them wrong and things get more desperate.
STREETONOMICS: Exploring the Uncharted Territories of Informal Markets throug...sameer shah
Delve into the world of STREETONOMICS, where a team of 7 enthusiasts embarks on a journey to understand unorganized markets. By engaging with a coffee street vendor and crafting questionnaires, this project uncovers valuable insights into consumer behavior and market dynamics in informal settings."
New Visa Rules for Tourists and Students in Thailand | Amit Kakkar Easy VisaAmit Kakkar
Discover essential details about Thailand's recent visa policy changes, tailored for tourists and students. Amit Kakkar Easy Visa provides a comprehensive overview of new requirements, application processes, and tips to ensure a smooth transition for all travelers.
2. 2
Why consistent leverage (Lc) is investable (1/2)
• Successfully trading capital with leverage requires 2 skills:
1. Timing : entering the right asset, at the right time, in the right direction,
exiting when maximum profit for the pattern has played out
2. Risk/return Management: leverage can amplify timing returns (positive
AND negative!!) to meet any personal risk appetite
• Timing skill is valuable to investors (aka “investable”): very few traders
find/code tradable patterns faster than all other humans and algorithms in the
market
• However, there is no such thing as leverage “skill”:
• No trader can be 100% certain (do sustained 100% win-ratios exist?) of
the outcome of a trade when opening it - which is when leverage is set
• What, then, justifies changing leverage across positions?
• The best that traders can deliver is leverage that consistently amplifies the
returns from timing skill to suit a declared risk-appetite choice
3. 3
Why consistent leverage (Lc) is investable (2/2)
• Pretending otherwise and changing leverage (i.e. inconsistent leverage)
introduces a random component (i.e. luck!) on top of a strategy’s timing return :
• Badly timed strategies can display random profits through leverage
changes - profits accrue through luck! (more leverage on winning than
on losing trades)
• (The flip-side also applies: inconsistent leverage can make a well-timed
strategy unprofitable! – leading talented traders with bad risk
management to abandon good strategies for the wrong reason!)
• Inconsistent leverage is NOT investable:
• It puts the source of profits into question: is it timing (good!) or just lucky
leverage (bad!)?
• Inconsistent leverage is a warning flag for bad risk management – what
happens to investors when a highly leveraged gamble goes bad?
• Strategies with consistent leverage PROVE risk management skill – are at
least trustworthy and likely investable, if all other TS elements are investable
5. 5
Badges represent progression in colors
• Yellow = Lowest achievement
• Magenta = Highest achievement
This strategy displays 6.8/10 Lc
• Shown by number in progress bar
Progress within magenta is displayed in the
circular progress indicator around the badge
itself
Click on to see a detailed description of
the level you are in
Understanding Lc – Lc Badge
Your Lc level is displayed under Trader -> Challenge
1
2
3
1
2
3
4
4
Check the percentile of the traders
in the community for this badge!
6. 6
TS Leverage – comparable across assets / strategies
TS Leverage means: multiples of (market average) 1:1 EUR/USD volatility
Different assets have different volatility/risk!
• 1 month volatility for various assets:
• EUR/USD: 2.21%
• USD/CAD: 1.66%
• GBP/JPY: 3.31%
• Nominal volatility is a bad proxy for risk
• Composite trades: for positions
involving multiple assets, nominal
leverage is meaningless
• Single asset trades: 1:1 leverage
GBP/JPY trade is 2 times riskier
than 1:1 USD/CAD
Position TS Leverage Comment
1:1 EUR/USD
(long or short)
≈1
The average volatility of the
EUR/USD is the anchor
4:1 EUR/USD 4
4 times as risky as the
anchor!
1:1 GBP/JPY 2.5
Pound/Yen historically 2.5
times as volatile as
EUR/USD
20:1 EUR/USD
(Long) &
30:1 JPY/GBP
(Short)
7
Our algorithms work out
how risky this trade is in
multiples of 1:1 EUR/RISK!
TS Leverage: compares volatility of a trade/strategy with average EUR/USD volatility
7. 7
Understanding Lc – Lc Chart (1/2)
Your Lc Chart is available under Trader -> Challenge
TSLeverage,(multiplesof
1:1EUR:USDrisk)
Green: winning positions
Red: losing positions
All data refer to chosen
period in timeline (21
trading days)
Max / Min TS Leverage in
selected period of 21
trading days
8. 8
Understanding Lc – Lc Chart (2/2)
The strategy’s TS Leverage Target TS Leverage Target and
VaR for Jun 23rd 2013
• TS Leverage Target =
Leverage to be chosen in
all positions on a given day
to keep your Risk stable
(e.g. 80.8% in this specific
case)
9. 9
Lc Example – Consistent leverage!
Most positions in min/max
range!
Short positions
outside target
range
penalize little
The bigger the deviation,
the bigger the penalty
The lower chart tracks total deviation
from target: low & smooth = good!
10. 10
Lc Example – Inconsistent leverage!
Most positions outside
min/max range!
Deviations from target in
long positions penalize
the most!
The lower chart tracks deviation from
target: spikes = bad!
11. 11
Want more examples?
Visit the TS Leaderboard to see Lc for other strategies
By using the filter functionality! Filter by TS Elements!
Sort by TS L.
Consistency
1
2
Review the
strategy!
4
Visit the Trading
Journal!
5
3 Define
timeframe
13. 13
Improving Lc (1)
TS Leverage Target for a given day: TS Leverage Target = Leverage to be
chosen in all positions on a given day to keep your Risk stable (i.e. same VaR as
the day before, 80,8% in this example).
• All the positions opened on Jun 23rd 2013
should be in the region of the TS Leverage
target for such date (i.e. 24.34) - otherwise
your score will be penalized!
Note: the longer the duration of your trade,
the closer you should keep to the TS
Leverage Target!
14. 14
Improving Lc (2)
If you do not like your current Risk, change your leverage using the following
formula:
The Desired Target Leverage for the example above would be ≈ 9.04
Note: Should you decide to change your risk, make sure you do it progressively – otherwise
your Rs and Lc will be penalized!
Desired Target Leverage = (Target VaR / Current VaR target ) * Leverage Lc
E.g., to reduce your Risk (from VaR of 80.8% to 30%), the formula would read as
follows:
Desired Target Leverage = (30/ 80.8) * 24.34
15. 15
Coming soon: Money Manager!
• Your Lc chart will soon be more
than a diagnostic tool!
• For traders who report their live
trading, Money Manager will
provide, real time:
• Current leverage
• Nominal required to open
new trades on target TS
Leverage
• Nominal required to
modify existing trades
within target TS
Leverage
• Do contact us if you want to be
part of the Beta program for
Money Manager!
16. 16
Remember – timing helps, leverage doesn’t!
• Your leverage target is a personal choice, driven by
• Personal risk appetite: how quickly do you want to grow your capital?
• Skill: can your “gut” handle the loss aversion that leverage will trigger?
If in doubt, always trade with less leverage than you can handle!
• Your leverage choices drive how quickly your strategy grows YOUR CAPITAL
• At best, leverage grows your personal capital more quickly
• At worst, it ruins good timing by introducing loss-aversion (see La
Badge), wiping your equity (margin calls), or being fooled by
randomness (lucky/unlucky leverage gambles, as discussed)
• ONCE you deliver consistent leverage, the speed at which your capital grows is
IRRELEVANT to yours investors – they’ll choose for timing skill ONLY -
• If you trade with consistent leverage, investors can adjust their
leverage to a fraction/multiple of yours that suits their risk appetite,
• If your leverage is not consistent… they probably won’t invest!
18. 18
Questions?
Trading is hard – no wonder there are unanswered questions!
(Why not, together, build a Knowledge Base that answers them all?)
• The Knowledge Base contains TS Mentors’
answers to all your questions!
• Mentors are Traders like you who
enjoy helping out, and are voted
very good at it, AND
• Trading educators hand-picked for
quality and broker independence,
who pitch their materials
• Want to contribute? Great!
• Post an article / Post
• Ask or answer questions
• Rate fellow traders’ contributions
19. 19
Can you do better?
• This article is a “stub” (an unfinished entry that MUST be improved)
• We need your questions & feedback to improve it!
• Feel free to post your questions to the TS Knowledge Base
• Have suggestions?
• theowl@tradeslide.com can’t wait to hear them
• We’d love to credit you for improving our content
• Contributing to the Q&A sections will boost your mentor score if others like what you post
(even questions do!) – helping out will reflect on your community standing, which means
• More traders will visit the URL on your profile
• When they visit, they’ll request your mentoring!
• If they do it enough, we’ll offer invitations to you