Global Elite Proprietary Trading Program (GEPTP)

This introductory lesson provides a foundational understanding of proprietary trading, covering its essential characteristics, objectives, and the differences from other trading types.

This lesson explores proprietary trading’s impact on financial markets, examining its role in creating liquidity, price discovery, and overall market health.

This lesson provides an in-depth look at market structure and the role of proprietary trading in enhancing liquidity, focusing on order types, market participants, and trading venues.

This lesson introduces foundational finance concepts, including the time value of money, risk-return tradeoff, and the essentials of asset classes, providing students with a strong basis for understanding financial markets.

This lesson explores the various types of investment vehicles and instruments, with an emphasis on their uses, risks, and suitability for different types of investors.

This lesson delves into the structure of financial markets and the roles played by key institutions, including central banks, investment banks, and regulatory bodies.

This lesson covers the basics of financial statement analysis, teaching students to interpret balance sheets, income statements, and cash flow statements for investment decisions.

This lesson introduces Modern Portfolio Theory and the importance of diversification, teaching students how to optimize risk-return profiles through portfolio construction.

This lesson introduces quantitative trading concepts, providing a solid foundation in mathematical and statistical techniques commonly used in trading strategies.

This lesson focuses on using data analysis techniques to interpret large datasets, with an emphasis on data visualization for making informed trading decisions.

This lesson provides a foundational understanding of risk management, exploring essential concepts such as risk measurement, tolerance, and mitigation strategies.

Students will learn to develop risk mitigation strategies, focusing on diversification, hedging, and position sizing to limit potential losses.

This lesson introduces the principles of technical analysis, exploring common tools and techniques used to predict market movements.

In this lesson, students delve deeper into advanced indicators and technical strategies, learning how to apply them in live trading scenarios.

An introductory look at algorithmic trading, covering its history, basic principles, and how it has revolutionized the trading landscape.

This lesson focuses on developing and backtesting algorithms, enabling students to evaluate strategies before live implementation.

This lesson explores specialized trading strategies, including swing trading, scalping, and position trading, with an emphasis on selecting strategies that align with market conditions.

This lesson focuses on implementing specialized strategies through simulations, allowing students to understand the nuances of executing different approaches.

This lesson offers a foundational understanding of the global financial system, including its key players, institutions, and the role of regulation in global markets.

This lesson examines various global financial instruments, focusing on how traders interact with different markets and instruments such as equities, bonds, derivatives, and currencies.

This lesson introduces data-driven decision-making in trading, explaining the importance of leveraging data insights to improve trading outcomes and reduce emotional decision-making.

Students learn to develop a trading plan that incorporates real-time data, analyzing data trends to identify opportunities and improve decision-making accuracy.

An overview of econometric models used in finance, explaining their importance for forecasting, regression analysis, and evaluating market relationships.

Students will learn to apply econometric models for developing trading strategies, using statistical software and data to evaluate relationships between variables and market behavior.

This lesson introduces the concept of derivatives, including options, futures, and swaps, focusing on pricing fundamentals and their role in financial markets.

An in-depth exploration of options pricing, covering the Black-Scholes model and introducing advanced methods for pricing derivatives under different market conditions.

This lesson covers essential machine learning concepts and how they can be applied to financial data for predictive modeling and decision-making.

Focuses on implementing machine learning models for trading applications, with hands-on exercises using Python and popular libraries for model training and evaluation.

Covers the basics of deep learning and neural networks, explaining how they can process and learn from complex financial data for advanced analysis.

Explores advanced deep learning techniques and models, demonstrating how to build and train deep neural networks for applications like sentiment analysis and algorithmic trading.

This lesson introduces the fundamental principles of asset allocation, discussing the importance of diversification to mitigate risk and improve returns.

Advanced exploration of dynamic asset allocation methods, focusing on adjusting portfolio weights in response to market conditions and investor goals.

This lesson explores various risk assessment tools and techniques, including risk quantification, stress testing, and scenario analysis.

Focuses on creating and implementing risk management strategies that adapt to changing market conditions and evolving risk exposures.

An introductory lesson to GATS (Global Algorithmic Trading Software), covering the foundational philosophy and methodology behind GATS, including multiple timeframe analysis.

An overview of the GATS software interface and primary components, focusing on essential features and tools for setting up trades and analyzing market data.

Introduction to algorithmic trading concepts and how GATS enables systematic trading, covering trade automation, backtesting, and optimization.

Advanced algorithmic strategies using GATS, including multi-indicator strategies and adaptive trading systems based on changing market conditions.

An introduction to the nine default trading strategies in GATS, explaining their purpose, unique elements, and how each can be applied across different timeframes.

This lesson explores customizing GATS default strategies to align with personal trading styles and market conditions, including risk adjustments and timeframe optimizations.

Lesson Details

• Lesson Title: GATS 369 Channel: Enhanced Strategies for Automated and Manual Trading
• Duration: 3 Hours
• Start Date: April 2, 2025
• Objectives:
  • Understanding GATS 369 Channel’s role in automated and manual trading alignment.
  • Identifying high-probability manual entry points within GATS 369 Channel boundaries.
  • Enhancing risk management and exits with DAATS trailing stops and key level synchronization.

This lesson covers advanced technical chart patterns and indicators used in identifying complex market structures, helping traders predict trend reversals and continuations.

An exploration of trend-following and momentum-based trading strategies, emphasizing how to apply these techniques in volatile and trending markets.

A detailed breakdown of EMA Zones within the GATS system, explaining how each zone provides critical support, resistance, and trend information.

Focuses on designing trading strategies using EMA Zones, including guidelines for entry, exit, and stop-loss placement based on EMA Zone interactions.

• A comprehensive look at trailing stops, explaining their purpose in trading and how they allow traders to maximize profit while minimizing risk.

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This lesson dives into the Dynamic Adaptive ATR Trailing Stop (DAATS), detailing how it can dynamically adjust based on market volatility for optimized stop-loss placement.

This lesson discusses various ways to extend and refine GATS default strategies for enhanced performance across different assets and timeframes.

A hands-on lesson on backtesting and optimizing extended GATS strategies, including parameter tuning for different asset classes and trade durations.

This lesson explores the Global Equity Momentum (GEM) strategy, focusing on identifying and capturing momentum across global equity markets.

An in-depth lesson on DAATS, explaining its role in dynamic stop-loss adjustments, designed to adapt to volatility and secure positions during both expansions and compressions.

This lesson covers analyzing diverse asset classes—stocks, bonds, forex, and commodities—and their interrelationships in crafting a holistic trading strategy.

Focuses on incorporating detailed market analysis into strategic decision-making for building adaptive trading systems that perform across market conditions.

This lesson delves into advanced features of MetaTrader 5, focusing on tools and functions that enhance trading analysis and execution capabilities.

Focuses on creating and customizing MT5 indicators tailored to specific strategies, including GATS indicators, momentum oscillators, and DAATS.

• This lesson examines the role of blockchain technology in trading, covering cryptocurrency markets, blockchain-based assets, and digital trading platforms.

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Focuses on the integration of artificial intelligence (AI) and machine learning in trading, covering how these technologies enhance predictive accuracy and trading automation.

Introduces the Brown Principle of Forex Multidimensionality, a proprietary approach to understanding and trading forex based on multi-layered dimensions of analysis.

Focuses on developing and applying trading strategies based on the multidimensional analysis of forex markets.

• An in-depth lesson on the MACD (Moving Average Convergence Divergence) indicator, covering fundamental and advanced settings to enhance trend analysis.

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A comparative analysis of the Global Quick Daily MACD (6, 9, 3) versus the GATS Standard MACD (15, 25, 8), and how each is used within GATS for precision in trend analysis.

Teaches the integration of various analytical frameworks and indicators, including MACD, DAATS, and GATS 369 Channel, for trading multiple asset classes.

Uses real-world examples to explore integrated trading strategies, analyzing the effectiveness and adaptability of these approaches.

This lesson covers both high-frequency and low-frequency trading algorithms, discussing their development, applications, and requirements for different market conditions.

Explores algorithmic arbitrage strategies, focusing on cross-asset arbitrage, statistical arbitrage, and event-driven arbitrage within an algorithmic trading framework.

An introduction to the mechanics, benefits, and requirements of high-frequency trading, including infrastructure, speed, and data requirements.

Discusses advanced HFT strategies, such as market making, arbitrage, and momentum ignition, and how to implement them within an HFT framework.

Teaches methods for identifying rapid trends in volatile markets and the techniques for executing trades quickly to capitalize on these movements.

Focuses on adapting rapid trend strategies for different asset classes, including commodities, forex, and stocks, with practical examples.

Guides students through the process of building a trading strategy that aligns with personal objectives, risk tolerance, and market preferences.

Covers how to test trading strategies for reliability and performance, including setting benchmarks, measuring outcomes, and making iterative improvements.

Teaches how to build diversified portfolios that span multiple asset classes and geographies, optimizing for risk-adjusted returns.

Focuses on the ongoing management of global portfolios, including rebalancing strategies, performance evaluation, and adapting to changing market conditions.

This lesson delves into sentiment analysis, exploring how trader and market sentiment indicators provide insights for refining trading strategies.

Explores correlation and intermarket analysis techniques, which help traders understand the relationships between different asset classes and markets.

Covers the fundamentals of asset pricing models, including CAPM and multifactor models, for understanding returns and portfolio selection.

Focuses on hands-on methods for selecting assets and building balanced portfolios based on individual risk preferences and market conditions.

Explains the fundamentals of currency correlation and how it affects forex trading, with practical tools for analyzing currency pairs.

Teaches how to apply currency correlation insights to build a diversified forex portfolio and reduce exposure to currency-specific risks.

Focuses on advanced customization of trading indicators to better capture price trends and improve precision in entry and exit points.

Integrates customized indicators within the GATS framework to optimize strategy performance across different market conditions.

Dive into global economic indicators and how they influence financial markets.

Focuses on reading and interpreting market news and economic indicators to make informed trading decisions.

Understand the core principles of trading psychology and how they impact decision-making.

Learn the importance of setting clear intentions in trading and how they drive outcomes.

Explore the role of harmonizing and shaping your mindset to align with market conditions.

Explore how manifestation works within the trading context, enabling successful outcomes.

Delve into the concept of market energy and how it influences price movements.

Discover the relationship between market frequency and recurring cycles.

Learn about vibration and its effect on market momentum and trader psychology.

Develop strategies that integrate both technical analysis and psychological resilience.

Apply market psychology principles to validate technical analysis findings.

Analyze market movements driven by collective emotions and their implications on trades.

Learn the foundational principles of the GATS 369 Channel, exploring its mathematical basis and significance in market analysis.

Discover how the GATS 369 Channel reveals potential entry and exit signals for trades.

Master the techniques for recognizing reversals and trend continuations using the GATS 369 Channel.

Explore the importance of Fibonacci ratios in financial markets and how these ratios can enhance GATS.

Examine how Fibonacci ratios integrate with the GATS methodology to improve trend-following strategies.

Develop effective trading strategies using Fibonacci ratios in alignment with the GATS 369 Channel.

 Understand the Average True Range (ATR) as a key indicator of volatility in trading.

Learn how to use ATR to determine optimal stop-loss and take-profit levels in dynamic market conditions.

Deepen your understanding of DAATS as a volatility-based stop-loss mechanism.

Discover the importance of risk-reward ratios and optimal position sizing for sustainable trading.

Learn how and when to apply the 12x and 18x ATR stop-loss to manage trades in extreme conditions.

Understand risk from a portfolio perspective, emphasizing diversified approaches for GATS users.

Learn about currency pair correlations and their effect on portfolio diversification.

Explore techniques for managing risk using knowledge of currency correlations.

Master the process of constructing multi-asset portfolios that balance risk and potential returns using GATS.

Discover the principles behind the standard MACD settings of 15, 25, and 8 and how they align with the GATS framework.

Explore the Global Quick Daily MACD (6, 9, 3) and its benefits in high-frequency and intraday trading.

Learn how to use both standard and Quick Daily MACD indicators for multi-timeframe alignment within GATS.

Gain insights into sentiment indicators and their ability to reveal underlying market psychology.

Learn how crowdsourced sentiment data can add an additional layer of market insight.

Discover how to use contrarian sentiment strategies to capitalize on extreme market positions.

Explore the benefits and challenges of combining technical and fundamental analysis.

Examine successful case studies of strategies using both technical and fundamental insights.

Apply your knowledge of integrated analysis directly within GATS.

Recognize and apply essential chart patterns that signal high-probability trade setups.

Learn to identify reversal patterns to capture trend shifts and enhance entry/exit timing.

• Analyze continuation patterns to enhance trend-following strategies.
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Customize risk management strategies according to different levels of market volatility.

Discover how to dynamically adjust position sizes to maintain consistent risk exposure.

 Implement effective hedging techniques to minimize losses in volatile markets.

Delve into emerging markets, focusing on unique economic drivers and potential risks.

Understand how currency fluctuations impact trading and investment in emerging markets.

Master global economic indicators and their effects on markets for informed trading.

Explore scalping strategies that capitalize on rapid price movements in volatile markets.

 Learn technical analysis techniques that cater to high-frequency trading demands.

Implement automated strategies for high-frequency trading using GATS configurations.

• Cultivate resilience to handle both wins and losses in a balanced manner.
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Learn discipline and patience as fundamental aspects of long-term trading success.

Understand risk management and emotional control in volatile market conditions.

• Explore the principles behind designing robust algorithmic trading strategies.
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Learn optimization techniques to enhance strategy performance across diverse conditions.

 Implement multiple strategies to create a balanced, risk-mitigated trading portfolio.

Get familiar with the underlying structure of financial markets, focusing on order flow and liquidity.

Use order flow data to enhance entry and exit timing in volatile markets.

Explore how high-frequency traders use market microstructure to gain an edge.

Understand the importance of ethical considerations in trading.

Discuss the impact of socially responsible trading and investments.

Ensure compliance with global regulatory standards and guidelines.

Master the principles and methodology behind rigorous backtesting.

• Dive into advanced simulation techniques to model real market conditions.
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Design custom testing scenarios that stress-test trading strategies.

Learn the basics of modifying GATS to suit specific trading preferences.

Enhance GATS by integrating custom indicators into trading strategies.

Utilize GATS across multiple timeframes for enhanced market insights.

• Expand upon the core GATS strategies with additional features and tactics.
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Explore add-ons that provide enhanced trend continuation and reversal signals.

Learn the advantages of pairing GATS with other trading systems.

Gain insight into how currency pairs correlate and affect strategy success.

Use correlations to manage risk by diversifying currency pairs.

Develop advanced techniques using currency correlations in GATS setups.

Introduce sustainable trading and how it fits into GATS.

Apply ESG criteria within GATS trading strategies.

 Learn to evaluate the impact and responsibility of trading decisions.

• Introduce the concepts, tools, and methods used in high-frequency trading.
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Explore how GATS can be adapted for high-frequency trading applications.

Understand the unique risks and regulatory challenges in HFT.

Learn how to integrate adaptive elements into GATS to handle volatile markets.

Use deep learning techniques to optimize trading strategies.

Examine the potential of AI to transform algorithmic trading in financial markets.

Learn to implement AI-based algorithms directly into GATS.

Explore the evolving landscape of AI in trading, from ethical issues to emerging trends.

• Understand the fundamentals of portfolio diversification to mitigate risk.
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Use GATS to implement effective hedging strategies for risk management.

Learn to continuously monitor and adjust portfolio risk for optimal performance.

Orientation for the final capstone project, outlining objectives and deliverables.

Develop a custom trading strategy, test it rigorously, and document the results.

Present final project outcomes, receive peer feedback, and submit the capstone report.

An orientation on the objectives, structure, and expectations of the mentorship phase.

Outlines the Senior Trader’s responsibilities as mentor, including skill development, feedback, and performance tracking.

Guidance on setting up and navigating a live trading account within the firm's platform.

Reinforces risk management with live account training, focusing on personal capital preservation and firm risk protocols.

Weekly sessions for in-depth analysis of live trades, strategy adjustments, and performance evaluations.

Structured feedback on trade execution, psychological management, and adaptive strategy use.

Outlines the career path within the proprietary firm, compensation structure, and role growth.