Describes the 7 Buckets in the Tradeslide Risk Masterscale - as well as how Tradeslide Risk describes risk @ 95% confidence for a hypothetical investor
This document outlines a trading strategy that employs a Hull timer and micro waves to determine when to enter bullish or bearish trades. The Hull timer indicates when markets are rising or falling, and which assets to trade accordingly - stocks in bull markets and bonds in bear markets. Micro waves further refine entry and exit criteria. Trades use put spreads with the short strike at 75% of the position to improve odds. Profits are taken at 50% of credit received and losses cut at smaller percentages to raise daily returns. The strategy kept trades on the right side of the market from 2012 to mid-2013, achieving a compound annual return of 35% with limited drawdowns, though more evaluation is needed on stop criteria.
The Only Money Management Strategy That Works in Tradingbtrader
This document discusses 7 lies of trading and provides strategies for successful trading. The key lies discussed are that trading is like investing, discipline is most important, certain strategies or indicators are unique, technicals are all that is needed, automation will make you money, and that you need high reward-to-risk ratios. It argues the most effective strategy is to take partial profits on exits rather than needing large rewards, and provides examples of how this can be done successfully with moderate win rates and edge. Overall guidelines provided for real-life trading include judging results over batches of 100 trades, using algorithms for signals but discretion for entry/exit, trading a small number of pairs per strategy, and diversifying strategies not instruments.
This document discusses the key components of becoming a consistently profitable forex trader. It states that only 10% of traders are profitable because they have a proven trading system with clear entry and exit rules that provides a statistical edge over time. It emphasizes the importance of having a trading system, knowing when and what strategies to trade based on market conditions, using proper position sizing with consistent risk levels per trade, and developing the discipline and psychological mastery to follow the system. The document provides examples of day trading strategies like bull flag surfing and outlines how a trader can aim for monthly returns of 10-16% with a 50-60% average win rate by making 20 trades per month with a risk of 2% per trade and potential
Rocky yaman professional technical analysis & market readingPower Point
This document provides an overview of professional technical analysis and market reading. It discusses analyzing the market to understand present behavior and predict future changes in order to consistently profit. While 95% of traders fail due to not understanding how the market communicates, analysis can help by observing indicators and charts to determine the market's order flow, trend structure, and key levels. Specifically, it is important to analyze whether the market momentum is impulsive or corrective, and if the trend is volatile or non-volatile in order to know the best times to enter or exit the market. The document emphasizes understanding market behaviors by viewing charts as a graphical representation of how fundamental events affect prices.
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.
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/
The Carry Trade strategy, often over complicated, is actually quite a simple process but it's for experienced Forex traders only
Here’s how it works...
This subject and many others are covered in more detail in the FREE Forex Guide available at Forex Useful - http://forexuseful.com/new/members/21812-forex-guide/
This document outlines a trading strategy that employs a Hull timer and micro waves to determine when to enter bullish or bearish trades. The Hull timer indicates when markets are rising or falling, and which assets to trade accordingly - stocks in bull markets and bonds in bear markets. Micro waves further refine entry and exit criteria. Trades use put spreads with the short strike at 75% of the position to improve odds. Profits are taken at 50% of credit received and losses cut at smaller percentages to raise daily returns. The strategy kept trades on the right side of the market from 2012 to mid-2013, achieving a compound annual return of 35% with limited drawdowns, though more evaluation is needed on stop criteria.
The Only Money Management Strategy That Works in Tradingbtrader
This document discusses 7 lies of trading and provides strategies for successful trading. The key lies discussed are that trading is like investing, discipline is most important, certain strategies or indicators are unique, technicals are all that is needed, automation will make you money, and that you need high reward-to-risk ratios. It argues the most effective strategy is to take partial profits on exits rather than needing large rewards, and provides examples of how this can be done successfully with moderate win rates and edge. Overall guidelines provided for real-life trading include judging results over batches of 100 trades, using algorithms for signals but discretion for entry/exit, trading a small number of pairs per strategy, and diversifying strategies not instruments.
This document discusses the key components of becoming a consistently profitable forex trader. It states that only 10% of traders are profitable because they have a proven trading system with clear entry and exit rules that provides a statistical edge over time. It emphasizes the importance of having a trading system, knowing when and what strategies to trade based on market conditions, using proper position sizing with consistent risk levels per trade, and developing the discipline and psychological mastery to follow the system. The document provides examples of day trading strategies like bull flag surfing and outlines how a trader can aim for monthly returns of 10-16% with a 50-60% average win rate by making 20 trades per month with a risk of 2% per trade and potential
Rocky yaman professional technical analysis & market readingPower Point
This document provides an overview of professional technical analysis and market reading. It discusses analyzing the market to understand present behavior and predict future changes in order to consistently profit. While 95% of traders fail due to not understanding how the market communicates, analysis can help by observing indicators and charts to determine the market's order flow, trend structure, and key levels. Specifically, it is important to analyze whether the market momentum is impulsive or corrective, and if the trend is volatile or non-volatile in order to know the best times to enter or exit the market. The document emphasizes understanding market behaviors by viewing charts as a graphical representation of how fundamental events affect prices.
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.
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/
The Carry Trade strategy, often over complicated, is actually quite a simple process but it's for experienced Forex traders only
Here’s how it works...
This subject and many others are covered in more detail in the FREE Forex Guide available at Forex Useful - http://forexuseful.com/new/members/21812-forex-guide/
"Trading Without Regret" by Dr. Michael Kearns, Professor at the Computer and...Quantopian
No-regret learning is a collection of tools designed to give provable performance
guarantees in the absence of any statistical or other assumptions on the data (!),
and thus stands in stark contrast to most classical modeling approaches.
With origins stretching back to the 1950s, the field has yielded a rich body of algorithms and analyses that covers problems ranging from forecasting
from expert advice to online convex optimization.
Dr. Kearns will survey the field, with special emphasis on applications to quantitative finance problems, including portfolio construction and inventory risk.
This document outlines an investment strategy aiming for over 30% annual returns through a systematic portfolio trading stocks and stock futures. It uses backtested strategies applying trend following filters with limited position sizes. The strategy was modeled on 6 years of historical market data, achieving over 100% compounded annual growth with maximum drawdowns below 30%. It proposes a minimum investment of 50 lakhs with monthly contributions, quarterly redemptions, and 2% management plus 25% performance fees calculated monthly with high water mark principle.
This analysis examined stock market returns in India from 1990 to 2014 to test common investment advice. It found that while the probability of capital erosion decreases with longer holding periods as advised, average returns actually diminish over 5-20 year periods, averaging only around 12%. This is just 3% higher than low-risk tax saving bonds. So staying invested long-term does reduce risk, but may not lead to significantly higher returns as often claimed.
The document describes an intraday equities trend system that aims to identify liquid stocks exhibiting volatility and momentum for short-term trading. The system uses a proprietary technique to select stocks in a favorable "volatility and liquidity sweet spot" and takes long positions in strong stocks and short positions in weak stocks. Hypothetical backtested performance from 2007-2008 showed gains of 9% in high volatility periods and losses of 5% in low volatility periods, with the strategy aiming to return 15-20% annually while limiting drawdowns.
"Portfolio Optimisation When You Don’t Know the Future (or the Past)" by Rob...Quantopian
We generally assume the past is a good guide to the future, but well do we even know the past? What effect does this uncertainty when estimating inputs have on the notoriously unstable algorithms for portfolio optimization?
I explore this issue, look at some commonly used solutions, and also introduce some alternative methods.
This fund provides a diversified global macro strategy through exposure to futures markets across asset classes like equities, currencies, rates, agricultural, metals and energy commodities. It aims to generate returns uncorrelated to traditional markets by capitalizing on unexpected events using a combination of trend-following, counter-trend, tactical equity and tail risk hedging models. The strategy tends to perform well during market crises and has delivered positive returns in years when traditional markets experienced large losses. Risk management is core to the process with position sizing based on risk, correlation and stress tests and dynamic allocation of risk across the portfolio.
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
"Enhancing Statistical Significance of Backtests" by Dr. Ernest Chan, Managin...Quantopian
Insufficient historical data is a major hurdle in building a trading model free from data snooping bias. Dr. Chan's talk will discuss several techniques, some borrowed from machine learning, that can alleviate overfitting and enhance the statistical significance of a backtest.
This document provides an overview and summary of a pork production conference that focused on volatility in profitability, prices, and costs. It discusses strategies for managing risk and margins, including using historical data on revenues, costs, futures prices for hogs, corn, and meal to evaluate opportunities and develop risk management plans tailored to operations based on their current ratio and risk tolerance. Producers are encouraged to implement written risk management plans that protect varying percentages of expected margins each quarter based on their bias and capital availability in order to survive in the evolving industry.
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.
The document outlines the top 5 mistakes that traders make and provides solutions to avoid them. The key mistakes are: 1) Lack of a clear trading methodology; 2) Lack of discipline in following the methodology; 3) Having unrealistic expectations about returns; 4) Lack of patience as markets do not always trend; and 5) Poor money management such as risking too much capital on any single trade. Developing and following a consistent methodology, managing risks and being realistic about returns are emphasized as ways for traders to be successful.
The document outlines a 5-step swing trading blueprint for managing risk and executing trades. Step 1 is risk management, which teaches how to set risk parameters like trade allocation as a percentage of core equity. It provides examples of conservative, moderate, and aggressive fixed risk models using 1-4% of equity. The optimal trade allocation depends on account size, with smaller accounts using a higher percentage and larger accounts a lower percentage. Overall, the first step establishes how much money can be risked for each trade based on the trader's risk tolerance and account characteristics.
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
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.
This document discusses how to beat investor Warren Buffett in the stock market. It describes an investing strategy that selects stocks falling into the value, growth and income categories to benefit from the strengths of each style while avoiding the weaknesses. The strategy aims to identify undervalued companies that will experience price rises as the market recognizes their potential for growth. It emphasizes low transaction costs, risk management, and focusing on quality stocks that perform well during bear markets.
Can the public outperform Warren Buffett? Our research shows exactly how using 10 years of data. We simplify the approach so anyone can easily follow it, and how we did it ourselves.
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.
Capital markets can accelerate economic development by providing companies a source of capital, mitigating moral hazard through stock prices, enabling change of ownership through takeovers, allowing individuals to diversify risks, and generating wealth for nations. However, capital markets face challenges like inefficiency, low awareness, concentrated wealth, and low understanding of risks. Investing is important to combat inflation and allow one's assets and lifestyle to grow over time. Investors should choose investments that balance appropriate risk and returns, and analyze companies through both fundamental analysis of financial statements and technical analysis of past price movements.
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.
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.
Not All Benchmarks Are Created Equal March 2014Redington
This document discusses benchmarks and highlights that not all benchmarks are equal. It notes that there has been a proliferation of benchmarks available and questions which have merit to be used and which do not. It examines characteristics that make for good benchmarks, such as being transparent, unbiased, and cost-effective. It also looks at using benchmarks for different types of investments, from liquid markets to multi-asset funds, and whether new style and factor-based benchmarks truly capture the intended exposures. The document advocates for benchmarks that best capture the desired market "beta" in an effective way.
"Trading Without Regret" by Dr. Michael Kearns, Professor at the Computer and...Quantopian
No-regret learning is a collection of tools designed to give provable performance
guarantees in the absence of any statistical or other assumptions on the data (!),
and thus stands in stark contrast to most classical modeling approaches.
With origins stretching back to the 1950s, the field has yielded a rich body of algorithms and analyses that covers problems ranging from forecasting
from expert advice to online convex optimization.
Dr. Kearns will survey the field, with special emphasis on applications to quantitative finance problems, including portfolio construction and inventory risk.
This document outlines an investment strategy aiming for over 30% annual returns through a systematic portfolio trading stocks and stock futures. It uses backtested strategies applying trend following filters with limited position sizes. The strategy was modeled on 6 years of historical market data, achieving over 100% compounded annual growth with maximum drawdowns below 30%. It proposes a minimum investment of 50 lakhs with monthly contributions, quarterly redemptions, and 2% management plus 25% performance fees calculated monthly with high water mark principle.
This analysis examined stock market returns in India from 1990 to 2014 to test common investment advice. It found that while the probability of capital erosion decreases with longer holding periods as advised, average returns actually diminish over 5-20 year periods, averaging only around 12%. This is just 3% higher than low-risk tax saving bonds. So staying invested long-term does reduce risk, but may not lead to significantly higher returns as often claimed.
The document describes an intraday equities trend system that aims to identify liquid stocks exhibiting volatility and momentum for short-term trading. The system uses a proprietary technique to select stocks in a favorable "volatility and liquidity sweet spot" and takes long positions in strong stocks and short positions in weak stocks. Hypothetical backtested performance from 2007-2008 showed gains of 9% in high volatility periods and losses of 5% in low volatility periods, with the strategy aiming to return 15-20% annually while limiting drawdowns.
"Portfolio Optimisation When You Don’t Know the Future (or the Past)" by Rob...Quantopian
We generally assume the past is a good guide to the future, but well do we even know the past? What effect does this uncertainty when estimating inputs have on the notoriously unstable algorithms for portfolio optimization?
I explore this issue, look at some commonly used solutions, and also introduce some alternative methods.
This fund provides a diversified global macro strategy through exposure to futures markets across asset classes like equities, currencies, rates, agricultural, metals and energy commodities. It aims to generate returns uncorrelated to traditional markets by capitalizing on unexpected events using a combination of trend-following, counter-trend, tactical equity and tail risk hedging models. The strategy tends to perform well during market crises and has delivered positive returns in years when traditional markets experienced large losses. Risk management is core to the process with position sizing based on risk, correlation and stress tests and dynamic allocation of risk across the portfolio.
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
"Enhancing Statistical Significance of Backtests" by Dr. Ernest Chan, Managin...Quantopian
Insufficient historical data is a major hurdle in building a trading model free from data snooping bias. Dr. Chan's talk will discuss several techniques, some borrowed from machine learning, that can alleviate overfitting and enhance the statistical significance of a backtest.
This document provides an overview and summary of a pork production conference that focused on volatility in profitability, prices, and costs. It discusses strategies for managing risk and margins, including using historical data on revenues, costs, futures prices for hogs, corn, and meal to evaluate opportunities and develop risk management plans tailored to operations based on their current ratio and risk tolerance. Producers are encouraged to implement written risk management plans that protect varying percentages of expected margins each quarter based on their bias and capital availability in order to survive in the evolving industry.
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.
The document outlines the top 5 mistakes that traders make and provides solutions to avoid them. The key mistakes are: 1) Lack of a clear trading methodology; 2) Lack of discipline in following the methodology; 3) Having unrealistic expectations about returns; 4) Lack of patience as markets do not always trend; and 5) Poor money management such as risking too much capital on any single trade. Developing and following a consistent methodology, managing risks and being realistic about returns are emphasized as ways for traders to be successful.
The document outlines a 5-step swing trading blueprint for managing risk and executing trades. Step 1 is risk management, which teaches how to set risk parameters like trade allocation as a percentage of core equity. It provides examples of conservative, moderate, and aggressive fixed risk models using 1-4% of equity. The optimal trade allocation depends on account size, with smaller accounts using a higher percentage and larger accounts a lower percentage. Overall, the first step establishes how much money can be risked for each trade based on the trader's risk tolerance and account characteristics.
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
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.
This document discusses how to beat investor Warren Buffett in the stock market. It describes an investing strategy that selects stocks falling into the value, growth and income categories to benefit from the strengths of each style while avoiding the weaknesses. The strategy aims to identify undervalued companies that will experience price rises as the market recognizes their potential for growth. It emphasizes low transaction costs, risk management, and focusing on quality stocks that perform well during bear markets.
Can the public outperform Warren Buffett? Our research shows exactly how using 10 years of data. We simplify the approach so anyone can easily follow it, and how we did it ourselves.
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.
Capital markets can accelerate economic development by providing companies a source of capital, mitigating moral hazard through stock prices, enabling change of ownership through takeovers, allowing individuals to diversify risks, and generating wealth for nations. However, capital markets face challenges like inefficiency, low awareness, concentrated wealth, and low understanding of risks. Investing is important to combat inflation and allow one's assets and lifestyle to grow over time. Investors should choose investments that balance appropriate risk and returns, and analyze companies through both fundamental analysis of financial statements and technical analysis of past price movements.
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.
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.
Not All Benchmarks Are Created Equal March 2014Redington
This document discusses benchmarks and highlights that not all benchmarks are equal. It notes that there has been a proliferation of benchmarks available and questions which have merit to be used and which do not. It examines characteristics that make for good benchmarks, such as being transparent, unbiased, and cost-effective. It also looks at using benchmarks for different types of investments, from liquid markets to multi-asset funds, and whether new style and factor-based benchmarks truly capture the intended exposures. The document advocates for benchmarks that best capture the desired market "beta" in an effective way.
This document summarizes information about joining an investment program called THE ENVIRONMENT. It discusses forex trading, which involves trading currency pairs and allows profits from both rising and falling values. The program offers two investment options: a hedge pool with a minimum $5,000 investment over 36 months that pays monthly dividends, and forex trading with brokers that employs strategies across 16 currency pairs with varying levels of risk. The document provides examples of compound returns from dividends and emphasizes that past results do not guarantee future profits.
This document discusses achieving higher returns from lower risk stocks. It summarizes research showing that low volatility stocks have historically outperformed high volatility stocks in terms of risk-adjusted returns. The document advocates using a risk rating system to classify stocks based on volatility into categories like conservative, balanced, adventurous, etc. It shows that more conservative stocks have had higher long-term returns and better performance during market downturns compared to more speculative stocks. The document suggests strategies for investors like focusing on "conservative super stocks" that have attributes like quality, value and momentum to potentially further improve risk-adjusted returns from low volatility stocks.
This document discusses the importance of understanding an individual's risk tolerance and capacity for loss when developing an investment strategy. It recommends using online tools to determine a risk profile and expected returns. The document also emphasizes focusing on managing risk rather than chasing returns, maintaining a diversified portfolio, and rebalancing over time. It stresses the importance of low fees and working with a regulated financial advisor to develop an appropriate long-term investment plan.
Money management is the most important part of trading and involves position sizing, stop losses, take profit targets, and portfolio management to control various risks. While technical analysis can provide trading signals, money management exploits any edge to maximize profits and manage downside risk. Personal statistics collected from a trader's actual results are needed to evaluate the effectiveness of a trading system and identify if poor money management or behavioral issues are impacting performance.
This document provides an overview of a financial markets analysis course presented by Jonathan L. Ravelas. It includes biographical information about Ravelas, noting his experience and credentials in financial markets spanning over 25 years. It also outlines the course modules which will cover various topics including equities, fixed income, currencies, and the relationship between financial markets and the economy. Risk factors associated with investments such as price risk, income risk, and interest rate risk are defined.
Investment in professional trading on the US commodity exchanges Mikhail Dickey
The benefits of trading in US commodity exchanges without intermediaries
Income without intermediaries - your expense is advisors’ fees only
Manageable risk - using the right tools, on which price does not change dramatically - risk distribution across different “baskets”
Trading speed - several trades per week - excludes possible losses compared to a high frequency intraday trading if working with other markets
You control the process - at any time you can withdraw a part of the deposit or close the trading account completely
Auroch Investment Management promotes its services for high-net-worth individuals in India, highlighting its past successes in predicting market movements, strategy of focusing on undervalued stocks for long-term growth, and portfolio options with different risk-return profiles. The document discusses Auroch's investment philosophy, fees, account management process, and the experience and credentials of its portfolio manager Raj Majumder.
Os (Open Strategy) analyzes how a trading strategy would have performed if trades had been opened at different times compared to the actual opening times. It evaluates the strategy's performance against 10 virtual "challengers" that open trades earlier and later. A strategy with consistently good Os performance indicates the trader is good at timing openings. Deteriorating Os can serve as an early warning that a previously effective strategy may be breaking down and it may be time to consider moving on. Regularly reviewing Os can help traders optimize their entry timing and identify strategies that are no longer working well before problems become apparent in overall performance.
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.
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.
TS Exit Strategy is a what-if analysis that evaluates what would have happened if a trader had shortened/lengthened the duration of his trades at regular multiples of trades' duration
The document discusses the Tradeslide (TS) Score, which independently assesses the risk-adjusted profit potential of trading strategies on a scale from 0-100. A high TS Score indicates a strategy is more investable and likely due to skill rather than luck. The score is driven by a trader's performance across various "badges" evaluating their experience, risk management, leverage, exits, and more. Maintaining consistency across these areas improves the TS Score over time. The goal is to help investors identify truly skilled traders and strategies.
The mentor score tracks a trader's reputation and contributions within the TradeSlide community. It is driven by feedback from other traders on a user's posts, articles, and responses to questions. A higher mentor score indicates a trader is a more credible and trusted source of guidance, which can lead to opportunities to mentor directly and develop one's own training website. The goal of the mentor score is to help connect committed traders with knowledgeable mentors who can help them improve through feedback and guidance.
Enhancing Asset Quality: Strategies for Financial Institutionsshruti1menon2
Ensuring robust asset quality is not just a mere aspect but a critical cornerstone for the stability and success of financial institutions worldwide. It serves as the bedrock upon which profitability is built and investor confidence is sustained. Therefore, in this presentation, we delve into a comprehensive exploration of strategies that can aid financial institutions in achieving and maintaining superior asset quality.
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."
South Dakota State University degree offer diploma Transcriptynfqplhm
办理美国SDSU毕业证书制作南达科他州立大学假文凭定制Q微168899991做SDSU留信网教留服认证海牙认证改SDSU成绩单GPA做SDSU假学位证假文凭高仿毕业证GRE代考如何申请南达科他州立大学South Dakota State University degree offer diploma Transcript
The Impact of Generative AI and 4th Industrial RevolutionPaolo Maresca
This infographic explores the transformative power of Generative AI, a key driver of the 4th Industrial Revolution. Discover how Generative AI is revolutionizing industries, accelerating innovation, and shaping the future of work.
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.
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.
University of North Carolina at Charlotte degree offer diploma Transcripttscdzuip
办理美国UNCC毕业证书制作北卡大学夏洛特分校假文凭定制Q微168899991做UNCC留信网教留服认证海牙认证改UNCC成绩单GPA做UNCC假学位证假文凭高仿毕业证GRE代考如何申请北卡罗莱纳大学夏洛特分校University of North Carolina at Charlotte degree offer diploma Transcript
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.
"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.
Dr. Alyce Su Cover Story - China's Investment Leadermsthrill
In World Expo 2010 Shanghai – the most visited Expo in the World History
https://www.britannica.com/event/Expo-Shanghai-2010
China’s official organizer of the Expo, CCPIT (China Council for the Promotion of International Trade https://en.ccpit.org/) has chosen Dr. Alyce Su as the Cover Person with Cover Story, in the Expo’s official magazine distributed throughout the Expo, showcasing China’s New Generation of Leaders to the World.
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.
3. Risk – What is it?
The risk to be expected when investing in a given strategy
How much could a strategy lose an investor?
1
Worst loss, at 95% percentile (i.e. Equity at Risk), over 1 Month
2
Takes into account actual days traded (no volatility without open trades)
3
We report min and max Risk in a selected period – informs of risk stability
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4. The 7 Bucket Risk Scale
*VaR = Value at Risk, in % of account equity
•
1
Max and Min VaR in
the selected period
Click here to view the Risk
vs. Drawdown chart
A VaR of 5.5% means: in one month out of
twenty trading months, losses will be higher
than 5.5% of account balance
VaR indicates the loss threshold – losses
could exceed 5.5% by varying amounts
•
7
•
•
Buckets
VaR @ 95% = loss threshold to be exceeded
one every 20 months
The 7 risk buckets indicate growing VaR
levels. VaR for bucket 2 is 2.5 times the VaR
of bucket 1 – see example on next page
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5. Risk – TS tools to track it
Use the Risk vs. Drawdown chart (Trader -> Investability Report-> Show charts)
Track the evolution of a trader’s risk in terms of monthly VaR at 95%
A prolonged period with red bars means
either:
-
-
Monthly VaR
the trader’s risk increased during the
following month (note an increase in the
black curve!); or
the trader is in the 5% region of exception
(the black curve should remain constant)
If your risk level is not constant, investors will
not know what risk they should expect when
investing in you!
Green: Monthly VaR > Drawdown
Red: Monthly VaR < Drawdown
5
6. Risk – 7 Buckets
Bucket
1 Month 95% VaR
Comparable Asset
1
.95%
AAA Money Market Fund
2
2.37%
3-5 Year Maturity AAA Bond
3
5.87%
Risk of a 1:1 leverage EUR/USD
4
14.23%
FTSE 100 or S&P 500 index
5
32.83%
Small Cap in Technology Sector
6
66.71%
Very high stakes gambling
7
98.1%
The lottery
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7. Risk vs. No Risk variable
Risk for traders is bi-variate
There is risk when a strategy is in the market, there isn’t if not
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VaR tracks two independent variables
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Risk when positions are open
(looks back 21 trading days)
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Non existent for days with no open
trades (no volatility in those days)
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95% probability therefore takes into account
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How risky a strategy is when active
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How active it is
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9. Risk Benchmarking
There isn’t a unified measure of risk across independent traders
Our risk buckets are a rigorous, but practical attempt to introduce it
•
Risk buckets are based on standard
investment management risk measures –
VaR in particular
•
Risk offers traders an independent risk
assessment compatible with external
benchmarks – which is an important mental
shift towards invest-ability
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We sincerely hope that using these will help
independent traders managing
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PAMM accounts
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Mirror-trading sites
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Signal providers
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11. Questions?
Trading is hard – no wonder there are unanswered questions!
(Why not, together, build a Knowledge Base that answers them all?)
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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
11
12. 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
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When they visit, they’ll request your mentoring!
•
If they do it enough, we’ll offer invitations to you
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