admin No Comments

The Digital Dawn: A New Era of Virtual Algorithmic Trading Desks

Title: “The Digital Dawn: A New Era of Virtual Algorithmic Trading Desks”

Introduction:

As the financial landscape rapidly morphs and evolves, the latest significant stride forward in the trading world is the introduction of Virtual Algorithmic Trading (VAT) desks. Global Financial Engineering, Inc., a leading Multi-Asset Class Professional Proprietary Trading Firm, is at the forefront of this innovation, pioneering with the launch of eight novel VAT desks dedicated to different types of financial instruments.

The Eight Pillars of Virtual Algorithmic Trading:

The VAT desks will span various domains of the financial market, catering to the trading of stocks, mutual funds, commodities, options, futures, forex, fixed income, and exchange-traded funds (ETFs). This multi-asset class approach will enhance the robustness and resilience of the firm’s trading strategies, offering diversified market exposure and risk mitigation across a variety of trading instruments.

The Journey:

In its commitment to precision and excellence, Global Financial Engineering, Inc. has devoted 24 painstaking months to the testing and refinement of its two flagship software solutions – the Global Algorithmic Trading Software (GATS) and the Global Turbo Trading Software (GTTS). These advanced platforms, powered by sophisticated algorithms, are poised to revolutionize the firm’s trading operations as they deploy across various asset classes starting Monday, February 13, 2023.

Quotes:

Reflecting on this major milestone, Dr. Glen Brown, the President & CEO of Global Financial Engineering and Global Accountancy Institute, stated, “This venture into virtual trading floors symbolizes our continual commitment to technology-driven advancements and rigorous innovation. The deployment of GATS and GTTS, following rigorous testing and refinement, is a testament to our relentless pursuit of precision, efficacy, and speed in trading operations.”

Closing Remarks:

In closing, Dr. Brown emphasized, “As we stand at the precipice of this new digital dawn, we embrace the challenges and opportunities this transformative era brings. Our ambition extends beyond simple participation in the global markets; we aim to be the architects of its future, pioneering new paths and forging groundbreaking tools. Our Virtual Algorithmic Trading desks represent not just a new chapter for Global Financial Engineering, Inc., but a leap forward for the global trading community as a whole.”

Conclusion:

As the world continues to digitize, the financial landscape remains no exception. The launch of Global Financial Engineering, Inc.’s VAT desks marks a significant step in this evolution. The forward-thinking strategies of firms like these will undoubtedly pave the way for further discussions on the future of global trading and the role algorithmic solutions will play in its inevitable transformation.

admin No Comments

Dr. Glen Brown Showcases an Innovative Approach to Adjusting Stop Loss Levels Based on Fibonacci Relationships

Title: Dr. Glen Brown Showcases an Innovative Approach to Adjusting Stop Loss Levels Based on Fibonacci Relationships

As a Financial Engineer with extensive experience in analyzing and developing innovative solutions for the financial markets, I’ve always been fascinated by the potential of mathematical concepts to provide valuable insights and improve trading strategies. Over the years, I’ve explored various approaches and techniques to better navigate the complex world of trading. Today, I’m excited to share with you an innovative method for adjusting stop loss levels based on Fibonacci relationships.

Incorporating the Fibonacci series and ratios into trading is not a new concept. Fibonacci numbers and ratios are widely used to identify potential support and resistance levels, price retracements, and extensions. However, I’ve taken this well-established idea a step further and applied it to the ATR (Average True Range) trailing stop loss mechanism.

The choice of using a 200-period ATR is based on its ability to capture a broad range of market conditions, including both short-term and long-term price fluctuations. By using a longer period, the ATR calculation smooths out temporary market noise and provides a more reliable measure of an asset’s volatility, which is essential when determining appropriate stop loss levels.

By using a Fibonacci number as the base ATR multiplier and scaling the multipliers with a Fibonacci ratio, I’ve developed a harmonized relationship between stop loss levels across different timeframes. Here’s the final set of ATR multipliers that I derived using a base multiplier of 21 (a Fibonacci number) and a Fibonacci ratio of 0.786:

  • M1: ATR Period 200, Multiplier: 21
  • M5: ATR Period 200, Multiplier: 17 (rounded from 16.50)
  • M15: ATR Period 200, Multiplier: 13 (rounded from 12.98)
  • M30: ATR Period 200, Multiplier: 10 (rounded from 10.21)
  • M60: ATR Period 200, Multiplier: 8 (rounded from 8.03)
  • M240: ATR Period 200, Multiplier: 6 (rounded from 6.31)
  • M1440: ATR Period 200, Multiplier: 5 (rounded from 4.96)
  • M10080: ATR Period 200, Multiplier: 4 (rounded from 3.90)
  • M43200: ATR Period 200, Multiplier: 3 (rounded from 3.06)

These Fibonacci-based multipliers offer several advantages over standard, linear multipliers:

  1. Integration of Fibonacci relationships: By incorporating Fibonacci numbers and ratios into the stop loss mechanism, the strategy benefits from a well-regarded mathematical concept that has proven its worth in trading over the years.
  2. Harmonized scaling across timeframes: Applying a Fibonacci ratio for scaling the ATR multipliers helps maintain a harmonized relationship between the multipliers, making it more likely that the stop loss levels will be adapted to the unique characteristics of each timeframe.
  3. Alternative approach: This method offers an alternative to standard ATR multipliers, which could potentially reveal new insights or provide better performance in specific market conditions.

However, it’s essential to note that these Fibonacci-based multipliers are not a one-size-fits-all solution. The performance and effectiveness of these multipliers depend on the specific market conditions and the underlying assets being traded. Therefore, it’s crucial to backtest and forward-test these settings to ensure they provide the desired performance for your trading strategies in each timeframe.

In conclusion, my innovative approach to adjusting stop loss levels based on Fibonacci relationships offers an exciting alternative to traditional stop loss mechanisms. By integrating well-established mathematical relationships into the trading strategy, this method holds potential for improved performance. However, as with any trading technique, thorough testing and validation are necessary to ensure its effectiveness in various market conditions and asset classes. As a Financial Engineer, I’m committed to exploring new ideas and finding innovative solutions to enhance trading strategies, and I believe that this Fibonacci-based approach to adjusting stop loss levels has the potential to be a valuable addition to the trading toolbox for many traders.

admin No Comments

High-Frequency Trading: The Pioneering Frontier of Global Trading Strategies

Introduction

High-frequency trading (HFT) has become a pivotal force in global markets, shaping the landscape for investors across various time horizons. As a cutting-edge approach to trading, HFT has revolutionized the way we perceive and engage with financial markets. This article delves into the nuances of high-frequency trading and its implications for global intra-day traders, swing traders, and position traders at the Global Financial Engineering and Global Accountancy Institute.

What is High-Frequency Trading?

High-frequency trading is a specialized form of algorithmic trading that relies on the rapid execution of a large number of orders in fractions of a second. HFT leverages sophisticated algorithms, powerful computing systems, and low-latency network connectivity to capitalize on minuscule price discrepancies in the market. As Dr. Glen Brown, President & CEO of Global Financial Engineering and Global Accountancy Institute, notes, “HFT is the epitome of innovation in trading, harnessing the power of technology to create opportunities that were once unthinkable.”

The Impact on Global Trading Strategies

  1. Intra-day Trading

Intra-day traders, who focus on short-term price movements within a single trading day, have felt the significant influence of HFT. As HFT strategies exploit fleeting market inefficiencies, they can affect intra-day price movements and liquidity. Dr. Glen Brown emphasizes that “intra-day traders must continuously adapt and evolve in the face of HFT’s ever-changing landscape, incorporating new tools and strategies to stay competitive.”

  1. Swing Trading

Swing traders, who hold positions over several days to weeks, can also benefit from understanding HFT’s impact on market dynamics. Although HFT’s direct effect on swing trading may be less pronounced, its influence on market liquidity and volatility cannot be ignored. Dr. Brown asserts that “swing traders should remain cognizant of the broader implications of HFT and strive to develop a comprehensive understanding of the markets in which they operate.”

  1. Position Trading

Position traders, who maintain positions for months or even years, might perceive HFT’s influence as relatively remote. However, Dr. Brown cautions that “even long-term traders should not disregard HFT’s presence in the market. Its impact on liquidity and volatility can have far-reaching consequences, indirectly affecting the performance of long-term investments.”

The Future of High-Frequency Trading

As markets continue to evolve, high-frequency trading remains at the forefront of innovation. Dr. Glen Brown believes that “the future of HFT is bright and filled with potential, as advancements in artificial intelligence and machine learning unlock new possibilities for algorithmic trading.” For traders across all time horizons, understanding and adapting to the changing landscape of high-frequency trading is paramount to staying ahead in the world of finance.

Conclusion

High-frequency trading has undeniably transformed the global financial landscape, offering both opportunities and challenges for traders of all types. By keeping abreast of the latest developments in HFT and recognizing its implications for their respective trading strategies, intra-day, swing, and position traders at the Global Financial Engineering and Global Accountancy Institute can continue to thrive in this dynamic environment. As Dr. Glen Brown aptly states, “In the rapidly evolving world of finance, adaptability and foresight are the keys to success.”

admin No Comments

Position Sizing: The Key to Consistent Trading Success

Introduction

Position sizing, a crucial aspect of trading strategy, is often overlooked by novice and experienced traders alike. It is the process of determining the number of shares or contracts to trade, taking into account your account size, risk tolerance, and trade setup. In this article, we delve into the importance of position sizing and explore insights from Dr. Glen Brown, a renowned expert in trading psychology and risk management.

The Importance of Position Sizing

  1. Risk management: “Position sizing is the cornerstone of successful risk management,” says Dr. Glen Brown. By controlling the size of your trades, you can manage potential losses and prevent devastating drawdowns in your trading account. By employing proper position sizing techniques, you can preserve your trading capital and stay in the game longer.
  2. Consistency: Dr. Brown emphasizes the importance of consistency in trading, stating, “Consistent position sizing is essential for consistent results.” This is particularly true for traders who follow a systematic approach. By maintaining a consistent position size, you can better evaluate your trading system’s performance and make necessary adjustments.
  3. Emotional stability: Trading can be an emotional rollercoaster, and proper position sizing helps to maintain emotional equilibrium. “When traders use appropriate position sizing, they’re less likely to experience emotional extremes,” explains Dr. Brown. By keeping your trade sizes in check, you can avoid the emotional pitfalls of overconfidence or fear, which can negatively impact your decision-making.
  4. Longevity: Position sizing contributes to trading longevity by reducing the likelihood of significant losses that can lead to account depletion. Dr. Brown cautions, “Ignoring position sizing increases the chances of encountering the dreaded ‘death spiral,’ where one large loss leads to a series of even larger losses, eventually wiping out a trading account.”

Position Sizing Techniques

  1. Fixed dollar amount: Dr. Brown suggests that one way to approach position sizing is to set a fixed dollar amount per trade. This approach is simple and easy to implement, but may not be the most suitable for all traders, as it doesn’t consider the specific risks associated with each trade.
  2. Percent of account: Another method is to risk a fixed percentage of your trading account on each trade. Dr. Brown states, “This method ensures that as your account grows, so does your position size, while a decrease in your account size will lead to smaller position sizes, keeping risk in check.”
  3. Volatility-based sizing: This technique involves adjusting position size based on the volatility of the asset being traded. Dr. Brown notes, “By factoring in volatility, traders can better account for the inherent risks associated with each trade.”

Conclusion

Position sizing is a critical aspect of trading success that should not be underestimated. As Dr. Glen Brown emphasizes, it helps traders manage risk, achieve consistency, maintain emotional stability, and promote longevity in the markets. By employing a suitable position sizing technique, you can better safeguard your trading capital and enhance your chances of long-term success.

admin No Comments

The Power of Accepting Total Responsibility: The Trader’s Path to Success

Introduction

In the fast-paced world of trading, it is crucial for every trader to understand the importance of taking responsibility for their actions. The pressure to make quick decisions, along with the volatility of the market, can sometimes lead to unfavorable outcomes. However, it is only by acknowledging and learning from these experiences that a trader can progress and succeed in the long run. As Dr. Glen Brown, an esteemed Financial Engineer and trading expert, once said, “Taking total responsibility for your actions is the key to unlocking your true potential in trading.”

The Importance of Taking Responsibility

Dr. Glen Brown’s words underscore the significance of accepting responsibility for one’s actions, especially in the field of trading. By doing so, a trader can:

  1. Develop a strong sense of accountability: When traders take complete responsibility for their actions, they cultivate a mindset of accountability. This, in turn, helps them make well-informed decisions and exercise better risk management strategies.
  2. Learn from mistakes: Trading mistakes are inevitable. However, acknowledging these errors and understanding the reasons behind them can help traders make better decisions in the future. As Dr. Brown aptly puts it, “Mistakes are not failures; they are valuable lessons that pave the way for growth.”
  3. Gain confidence: Accepting responsibility for one’s actions allows traders to develop a sense of self-reliance, which is essential for making decisions in the face of uncertainty. This self-assurance can lead to more confident and effective trading practices.
  4. Cultivate emotional resilience: Emotional resilience is crucial in trading, as it allows traders to maintain composure and mental clarity during turbulent market conditions. Accepting total responsibility helps traders develop this resilience by encouraging them to take control of their emotions and remain focused on their goals.

Dr. Brown’s Insights on Responsibility

Dr. Glen Brown has long emphasized the power of taking responsibility in trading, offering insights on how traders can harness this principle to achieve success. Some of his most notable quotes include:

  1. “The more you embrace responsibility, the more control you have over your trading journey. It’s not about blaming external factors, but about understanding how your decisions shape your outcomes.”
  2. “Responsibility is the foundation of self-improvement in trading. You cannot progress without first acknowledging your role in both your successes and setbacks.”
  3. “When you accept total responsibility for your actions, you empower yourself to become the master of your own trading destiny.”

Conclusion

In the world of trading, accepting total responsibility for one’s actions is vital for growth, success, and personal development. By acknowledging their role in every decision and outcome, traders can foster a sense of accountability, learn from their mistakes, and build emotional resilience. By heeding Dr. Glen Brown’s wisdom, traders can unlock their true potential and achieve the success they strive for in the ever-evolving financial markets.

admin No Comments

EURCHF Micro-Trend Trade Commentary: Global Algorithmic Trading System #2

Introduction:

In this commentary, we will be discussing a recent trade generated by the Global Algorithmic Trading System #2, which focuses on micro-trends by utilizing a 5-minute time frame. On March 28, 2023, the system generated a buy signal for EURCHF, prompting traders to enter a long position with specific entry, stop loss, and profit target levels.

Trade Details:

The Global Algorithmic Trading System #2 signaled to buy 46.04 lots of EURCHF at an entry price of 0.98901. The initial stop loss was set at 12ATR, providing adequate risk management to protect against potential losses. The profit target for this trade was established at 1.00260, offering an attractive risk-reward ratio for traders.

Current Status:

As of now, the EURCHF is trading at 0.99651, showing a positive movement in the desired direction. The current stop loss has been adjusted to 0.9964, locking in potential gains while minimizing the risk of a market reversal.

Analysis:

The Global Algorithmic Trading System #2 has demonstrated its ability to identify profitable micro-trends by providing a timely buy signal for EURCHF. The pair’s price action has moved in favor of the trade, and the adjusted stop loss offers a safety net for traders, ensuring that they can preserve gains in case the market reverses.

The profit target of 1.00260 remains in place, and if the EURCHF continues its upward trajectory, traders can expect a healthy return on investment. This trade showcases the effectiveness of the algorithm in capturing short-term market movements and capitalizing on opportunities.

Conclusion:

The Global Algorithmic Trading System #2’s performance in the EURCHF micro-trend trade highlights the potential for profit when using a data-driven, algorithmic approach. By adhering to the trade signals and diligently managing risk, traders can take advantage of short-term market movements to generate returns. As always, it is crucial for traders to monitor the market closely and adjust their positions accordingly to minimize risk and protect profits.

General Risk Disclaimer:

Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade foreign exchange, you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and, therefore, you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading, and seek advice from an independent financial advisor if you have any doubts. Past performance is not necessarily indicative of future results.

admin No Comments

 Global Hybrid Forex Trading Strategy(GHFTS) executed on the Global Algorithmic Trading Software(GATS)-System#0-#8

The Global Hybrid Forex Trading Strategy(GHFTS) is a trend following strategy that was developed by Dr. Glen Brown. The strategy is executed on the  Global Algorithmic Trading Software(GATS) using its nine(9) sub-systems from the Based system to system #8. 

Global Hybrid Forex Trading Strategy  trade in the direction of the Micro, Short, Medium, and Long Term trends using Global Algorithmic Trading Systems(GATS)#0, #1, #2, #3, #4, #5, 6, #7, and #8.
This account is for research purposes and hence should not be deemed as investment advice.

Global Algorithmic Trading is a method of executing orders using automated pre-programmed trading instructions accounting for variables such as time, price, and volume. This type of trading attempts to leverage the speed and computational resources of computers relative to human traders.

Global Algorithmic Trading Software(GATS)-System #0 to System #8 uses computer codes and chart analysis to enter and exit trades according to to set parameters such as price movements or volatility levels. Once the current market conditions match any predetermined criteria within the software, the trading algorithms will execute a buy or sell order on our behalf.

Global Algorithmic Trading Software(GATS)-System #0 to System #8 runs on MetaTrader 4, the most popular trading platform in the world. MetaTrader 4 is an advanced trading platform that gives you access to a range of tools and features to help you carry out analysis and customize your trading experience.

Main Features of the Global Algorithmic Trading Software(GATS)

**Global Algorithmic Trading Software(GATS)-System #0 to #8 is used to execute our trading decisions in over 60 countries worldwide
**Global Algorithmic Trading Software(GATS)-Systems #0 to #8 can be used for Equities, Futures, Commodities, Options, Bonds, Currencies, and mutual funds
**Volatility Based Risk Management System
**Volatility-Based Position Sizing Management System

In this research, we will combine all nine(9) subsystems and apply the strategy to 7 major forex currency pairs. Majors are generally the most popular type of currency pair to trade.

The most traded forex pairs at Global Financial Engineering and Global Accountancy Institute.

*EUR/USD (euro/US dollar)
*GBP/USD (British pound/US dollar)
*USD/JPY (US dollar/Japanese yen)
*USD/CHF (US dollar/Swiss franc)
*USD/CAD (US dollar/Canadian dollar)
*AUD/USD (Australian dollar/US dollar)
*NZD/USD (New Zealand Dollar/US dollar)

Let us track our trades for the Global Hybrid Forex Trading Strategy(GHFTS) and analyze them in order to create a  successful transition and operational excellence using the above currency pairs.

As at December 21, 2022, We have decided to use a Hard Stop Loss and an initial trailing stop given by one to 8 times the Daily Average True range(DATR) with a risk of 0.1 % to 0.8% per trade. We will also activate a normal trailing stop given by 12.5% of the initial risk. Our profit target is three times the initial risk.

widget

Open Trades

Trading Risk Disclaimer

Trading foreign exchange on margin carries a high level of risk, and may not be suitable for all investors. The high degree of leverage can work against you as well as for you. Before deciding to trade foreign exchange you should carefully consider your investment objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your initial investment and therefore you should not invest money that you cannot afford to lose. You should be aware of all the risks associated with foreign exchange trading, and seek advice from an independent financial advisor if you have any doubts.

Futures trading involves the potential for a substantial risk of loss as well as substantial gains and is not suitable for every investor. The highly leveraged nature of futures trading means that small market movements will have a great impact on your trading account and this can work against you, leading to large losses, or can work for you, leading to large gains. If the market moves against you, you may sustain a total loss greater than the amount you deposited into your account.

You are responsible for all the risks and financial resources you use and for the chosen trading system. You should not engage in trading unless you fully understand the nature of the transactions you are entering into and the extent of your exposure to loss. If you do not fully understand these risks you must seek independent advice from your financial advisor. All trading strategies are used at your own risk. It is your responsibility to confirm and decide which trades to make. Trade only with risk capital; that is, trade with money that, if lost, will not adversely impact your lifestyle and your ability to meet your financial obligations.

U.S. Government Required Disclaimer – Commodity Futures Trading Commission. Futures and options trading has large potential rewards, but also large potential risks. You must be aware of the risks and be willing to accept them in order to invest in the futures and options markets. Don’t trade with money you can’t afford to lose. This is neither a solicitation nor an offer to Buy/Sell futures. No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed on this website. The past performance of any trading system or methodology is not necessarily indicative of future results.

CFTC RULE 4.41 – HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN

Read more

admin No Comments

What is the Profit Factor of a Trading System

The profit factor is defined as the gross profit divided by the gross loss (including commissions) for the entire trading period. This performance metric relates the amount of profit per unit of risk, with values greater than one indicating a profitable/tradable system. It is very important to track this matric to ensure that it does not fall below zero for a long period of time.

The profit factor is very easy to calculate. It is the ratio between gross profits and gross losses . If you analyze the advance performance matric for the Global Algorithmic Trading Software(GATS)-System #5 you will see that it has a profit factor of 2.17 for the period January 01, 2022 to January 31, 2022

Global Algorithmic Trading Software Advanced Statistics

You can learn more about profit factor and other performance matric such as Standard Deviation, Sharpe Ratio, Z-Score, Expectancy, AHPR, GHPR by registering for the Global Professional Proprietary Trading Course

RISK WARNING!

There is a substantial risk of loss in futures and Forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don’t trade with money you cannot afford to lose.

The analysis in this material is provided for information only and is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security.
To the extent that this material discusses general market activity, industry or sector trends or other broad-based economic or political conditions, it should not be construed as research or investment advice.
To the extent that it includes references to specific securities, commodities , currencies, or other instruments, those references do not constitute a recommendation by Global Accountancy Institute,Inc. or Global Financial Engineering,Inc. to buy, sell or hold such investments.
This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers.
Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.

admin No Comments

A better way to set Stop Losses by Dr. Glen Brown

Your Stop Loss should be based on the Volatility Exposure(VE) of the financial instrument .

Volatility is the  rate at which the price of a financial instrument  increases or decreases for a given set of returns.

How do we measure Volatility of a financial instrument?

Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. This shows the range to which the price of a financial instrument may increase or decrease. Hence, Volatility measures the risk of a financial instrument.

Within the Global  Algorithmic Trading Software(GATS), We use Volatility to  indicate the pricing behavior of the financial instrument which help us to estimate the fluctuations that may happen within different timeframes.

We use the PATS Average True Range(ATR) indicator to set the stop loss and profit target for the various subsystems and strategies.

At Global Financial Engineering, we believe that your stop loss should be based on the number of Volatility Exposure Periods (VEPs). 

For example: Using Average True Range(ATR) with period 200 with a conservative risk % model:

**27VEPs  is assigned to the based system which runs on the 1 minute chart where the default risk is set at 0.01% of free equity

**24VEPs is assigned to system #1 which runs on the 5 minutes chart, where the default risk is set at 0.02% of free equity

**21VEPs is assigned to system #2 which runs on the 15 minutes chart, where the default risk is set at 0.0.03% of free equity

**18VEPs is assigned to system #3 which runs on the 30 minutes chart, where the default risk is set at 0.04% of free equity

**15VEPs is assigned to system #4 which runs on the 60 minutes chart, where the default risk is set at 0.05% of free equity

**12VEPs is assigned to system #5 which runs on the 240 minutes chart, where the default risk is set at 0.06% of free equity

**9VEPs is assigned to system #6 which runs on the Daily chart, where the default risk is set at 0.07% of free equity

**6VEPs is assigned to system #7 which runs on the Weekly chart, where the default risk is set at 0.08% of free equity

**3VEPs is assigned to system #8 which runs on the Monthly chart, where the default risk is set at 0.09% of free equity

The Global Algorithmic Trading Software(GATS) will use the above inputs to calculate the position size of each financial instrument.

RISK WARNING!

There is a substantial risk of loss in futures and Forex trading. Online trading of stocks and options is extremely risky. Assume you will lose money. Don’t trade with money you cannot afford to lose.

The analysis in this material is provided for information only and is not and should not be construed as an offer to sell or the solicitation of an offer to buy any security.
To the extent that this material discusses general market activity, industry or sector trends or other broad-based economic or political conditions, it should not be construed as research or investment advice.
To the extent that it includes references to specific securities, commodities , currencies, or other instruments, those references do not constitute a recommendation by Global Accountancy Institute,Inc. or Global Financial Engineering,Inc. to buy, sell or hold such investments.
This material does not and is not intended to take into account the particular financial conditions, investment objectives or requirements of individual customers.
Before acting on this material, you should consider whether it is suitable for your particular circumstances and, as necessary, seek professional advice.