Imagine a world where trading isn’t just about charts, hunches, or endless hours glued to a screen. A world where a brilliant, tireless system works alongside you, spotting opportunities no human could catch, executing trades with precision, and learning from the market’s every move. This isn’t science fiction—it’s the story of EPIC Agentic AI Trading Software, a game-changer born from a decade of relentless innovation, now redefining what’s possible in the world of finance.

The Spark of Genius

It all began in 2016, when Curtis Melonopoly, a visionary trader with a knack for seeing patterns where others saw chaos, started sharing his crude oil trading insights on X. Back then, he was already teasing the power of his proprietary algorithm, warning followers not to blindly chase his trades unless they could keep up with his lightning-fast sniping style. “I don’t trade charts. I trade a proprietary algorithm,” he posted on August 5, 2016, as his early EPIC system nailed a crude oil price target at $41.20 with jaw-dropping accuracy. The market spiked, and Curtis knew he was onto something extraordinary.

What started as a crude oil trading algorithm evolved into something far bigger. The development team at Compound Trading Group spent nearly a decade refining EPIC, pouring their expertise into building a machine-learning powerhouse that could tackle not just oil but equities, indices, cryptocurrencies, and more. By 2023, EPIC v6.1.1 was unveiled as the final architecture—a system so advanced it could execute trades with an annualized ROI exceeding 100% in real-world conditions.

The Agentic AI Breakthrough

Fast forward to 2025, and EPIC isn’t just a trading algorithm anymore—it’s a revolution powered by Agentic AI. Unlike traditional AI, which follows rigid rules, Agentic AI is like a team of brilliant traders working in harmony. As @Kielmariant posted on X, “EPIC Agentic AI is revolutionizing trading & finance! Unlike conventional AI Agents, Agentic AI orchestrates multiple agents for complex tasks. Think smarter, collaborative systems!” This collaborative intelligence allows EPIC to analyze vast datasets, detect subtle market signals, and adapt in real time, making decisions that feel almost clairvoyant.

Take, for example, a stunning moment shared by @curtmelonopoly on May 22, 2025. EPIC’s “IDENT” order flow technology spotted an anomalous short opportunity in the cryptocurrency $SUI, defying strong intraday trends. Against all odds, EPIC sized in at an unconventional time and price, and the result? A flawless trade that left traders in awe. “There was literally not one signal on any time frame of any kind, and trust me, we know every angle of every trade,” Curtis wrote. “EPIC starts firing on IDENT order flow tech. Wow.”

Real-World Wins That Speak Volumes

EPIC’s track record is more than just hype—it’s backed by audited results. By June 2023, EPIC v4.1.1 was delivering a 58.69% annualized ROI for Sovoron.com’s private clients, with estimates suggesting even higher returns as the software scaled through its nine-sequence protocol. By late 2024, Compound Trading Group reported escalating returns across all machine-learning trade categories, a testament to EPIC’s ability to refine itself with every trade.

@Gruvshark1 summed it up perfectly in a May 2025 thread: “How EPIC’s AI Agent Swarms Are Redefining What Is Possible in the World of Trading!” The post went viral, capturing the excitement of a system that doesn’t just follow trends but anticipates them, using a swarm of AI agents to outsmart the market.

From Crude Oil to Global Markets

What makes EPIC truly epic is its versatility. Originally built for crude oil futures, it now dominates multiple markets—NASDAQ, Bitcoin, Ethereum, Solana, and soon, a curated basket of 12 equities set to launch on August 18, 2025, as announced by @curtmelonopoly. Whether you’re a crypto enthusiast, a stock market veteran, or a commodities trader, EPIC’s Agentic AI adapts to your needs, offering automated trading or lead trader copy trading directly to your account.

The system’s flexibility shines through its three-layer protocol: a balanced position trading layer, a high-velocity pivot trading layer, and a pure Agentic AI layer. As @billegoatx raved on X, “The crude oil trading via Agentic AI has been impressive to say the least.” Traders can expect seamless transitions as EPIC recalibrates to new updates, zeroing out positions and firing with pinpoint accuracy.

As Curtis shared, “The development team is now ready to take the software to the global markets,” with plans to deploy EPIC to private equity markets in mid-2025 and potentially public markets by Q4.

The Future Is Here

Picture this: It’s a quiet evening, and while others are pouring over charts, you’re relaxing, knowing EPIC’s Agentic AI is scouring the markets, identifying opportunities, and executing trades with surgical precision. As @curtmelonopoly asked on X, “Can that be reproduced over thousands of trades over a long duration of time?” The answer came in the form of thousands of successful executions over three months, proving EPIC’s reliability.

This is more than software—it’s a movement. A chance to trade smarter, not harder. A chance to be part of a financial revolution. Visit epicaihub.io to explore the technology, or head to compoundtrading.com to connect with the team and see real-world performance data. As @SovoronS proudly shares, EPIC is already powering their platform, delivering results that speak for themselves.

Join the Revolution

EPIC Agentic AI Trading Software isn’t just a tool—it’s your partner in navigating the wild, unpredictable world of trading. Whether you’re a seasoned pro or a curious newcomer, EPIC offers a way to harness the power of AI, backed by a team that’s been perfecting it for nearly a decade.

Ready to rewrite your trading story? Contact at c.kerslake@epicaihub.io to learn how EPIC can transform your portfolio today.

How EPIC Agentic AI is Mastering the Nasdaq Futures Market

Since going live with its Nasdaq NQ futures trading on February 23, 2025, EPIC Agentic AI has been disrupting the landscape of algorithmic trading. While its counterpart in oil trading boasts a history of success, the AI’s Nasdaq-focused agents are quickly making their mark. Outshining the competition in terms of both agility and performance, EPIC’s Agentic AI is already setting new standards, combining advanced AI, multi-agent systems, and real-time decision-making to navigate the complexities of the Nasdaq market.

EPIC’s Nasdaq trading strategy integrates cutting-edge predictive analytics, adaptive risk management, and multi-agent coordination. EPIC runs two active protocols on the Nasdaq, Velocity and Balanced, and neither have taken a loss on a  trade sequence yet since deployment.  With a track record significantly outperforming traditional quant models, EPIC Agentic AI is setting itself apart as a premier tool for trading futures, especially in volatile markets like Nasdaq.

EPIC’s Approach to Nasdaq: Dynamic, Real-Time, and Autonomous

EPIC employs an agentic AI swarm of autonomous entities designed to act in parallel, continuously evaluating and executing trades based on live market conditions. These agents don’t rely on traditional prediction-based systems; instead, they perceive, react, and execute in real-time. When it comes to trading Nasdaq NQ futures, EPIC is prepared to pivot at a moment’s notice, leveraging a combination of technical analysis, market structure recognition, and real-time order flows.

A Case Study in Success: EPIC’s Short Positions on NQ

One of the most striking examples of EPIC’s prowess in the Nasdaq market came from a series of trades that began on May 12, 2025, when EPIC identified a shift in market conditions. Here’s a breakdown of this impressive sequence:

May 12, 2025: The First Short Position

At the onset of the trading sequence, EPIC’s agents identified an opportunity to go short on NQ futures. The agents identified a shift and reacted in real time to close the trade 16 hours later for a 673 point gain.

• For MNQ Contracts (Mini Nasdaq 100 Futures): This gain equates to $1,346 (673 points x $2 per point).
• For NQ Contracts (Full Nasdaq 100 Futures): The gain translates to $13,460 (673 points x $20 per point).

This trade exemplifies EPIC’s ability to navigate volatile market movements and adjust trades in real-time to maximize returns while mitigating risk.

May 13–16, 2025: Position Rebuilding and Precision Execution

After closing its initial short position, EPIC’s agents immediately began to analyze the broader market and reestablished their position the following day, on May 13. As the market continued to show signs of topping out, EPIC opened another short position at 9:43 a.m. The agents then gradually built their position, adding to the short trade on May 16 at 2:03 a.m. By waiting for optimal entry points, EPIC ensured that it wasn’t overexposed during periods of market indecision, maintaining its edge.

May 18, 2025: Strategic Risk Management

On May 18, 2025, after observing a significant market shift, EPIC covered half of its short position just before a spike of 300 points on NQ. This calculated move protected profits and minimized risk during an unpredictable market move, showcasing EPIC’s sophisticated risk management protocols.

May 22–23, 2025: Finalizing the Short Position

The final phase of this trade came on May 22 and May 23, when EPIC’s agents added to the short position at 4:07 a.m. on May 22. The agents held through a period of market noise and chop before closing the position in two tranches at approximately 7:50 a.m. on May 23, 2025. This trade resulted in a significant gain of 5,225 points.

• For MNQ Contracts (Mini Nasdaq 100 Futures): This gain amounts to $10,450 (5,225 points x $2 per point).
• For NQ Contracts (Full Nasdaq 100 Futures): The gain translates to $104,500 (5,225 points x $20 per point).

May 23, 2025: Another Trade, Another Win

As this article was being written, EPIC opened a small long position on NQ just 15 minutes after completing the trade sequence detailed above. This second trade resulted in a 1,450 point gain:

• For MNQ Contracts (Mini Nasdaq 100 Futures): This translates to $2,900 (1,450 points x $2 per point).
• For NQ Contracts (Full Nasdaq 100 Futures): This amounts to $29,160 (1,450 points x $20 per point).

EPIC’s Predictive Edge: Did It Know About Tariffs?

As the market reacted to live recycled tariff-related news from President Trump, many might ask– How did EPIC anticipate this move? Did EPIC follow insiders and large market players building positions for the move? Did EPIC identify technical chart trends that allowed it to predict the move accurately? While the exact mechanics behind EPIC’s decisions remain proprietary, what is clear is that the multi-agent system continually monitors both market fundamentals and technical indicators. The agents likely observed a confluence of factors—technical chart trends, order flows, and potentially the buildup of market sentiment around tariff news—that aligned to guide EPIC’s decision.

Rather than relying on any single factor like insider news or rumors, EPIC’s success comes from its ability to process and adapt to a wide array of real-time market inputs. Whether it’s chart patterns, economic data, or sentiment shifts, EPIC’s swarm of autonomous agents is designed to act swiftly and intelligently when conditions align, providing consistent results even in uncertain environments.

EPIC’s Nasdaq Agents Evolve

While EPIC’s Nasdaq agents have already delivered exceptional results, it’s important to note that these agents are still relatively young compared to their counterparts in the oil market. Since EPIC’s Nasdaq agents began live trading only in February 2025, their performance represents an impressive foundation, with ample room for growth and improvement. As these agents continue to evolve, their proficiency will only increase, making them even more powerful and effective in navigating the complexities of the Nasdaq market.

The continuous training, feedback, and deployment loop that EPIC’s AI agents undergo ensures that they adapt and improve over time. This training process involves pushing the agents to their limits, identifying failure points, and refining their decision-making abilities. As the Nasdaq agents gain more experience, they will be better equipped to handle increasingly complex market conditions, further enhancing their accuracy and profitability.

As with EPIC’s other trading agents, the multi-agent system at the core of Nasdaq trading is designed to constantly learn from market behavior. This ensures that even as market conditions change, EPIC’s Nasdaq agents can quickly adapt and remain on the cutting edge of performance. The combination of real-time data processing, sophisticated algorithms, and ongoing training will allow the agents to stay ahead of the curve, ensuring that they can consistently outperform the competition in the long run. (See https://epicaihub.io/how-we-train-ai-agent-swarms-to-trade/)

As these agents continue to mature, traders can expect even more reliable and accurate performance, coupled with the same high-level risk management strategies that have made EPIC’s oil trading so successful. With every new cycle of training, feedback, and deployment, EPIC’s Nasdaq agents are poised to become an even greater force in the world of automated trading.

The Future of Nasdaq Trading with EPIC

With just a few months of live trading, EPIC Agentic AI has already outperformed traditional trading systems and competitors in the Nasdaq futures market. This success underscores the power of EPIC’s real-time, autonomous decision-making capabilities, combined with advanced predictive models and risk management strategies. EPIC’s approach to Nasdaq trading is redefining what’s possible in automated futures trading, offering traders a reliable tool for navigating market volatility.

Futures trading, already dominated by automated trading, is being transformed by AI, ushering in a new era of investment and disrupting the stock market as outlined in Forbes:  https://www.forbes.com/councils/forbestechcouncil/2025/03/06/the-disruption-of-ai-in-stock-markets-a-new-era-of-investment-decisions-and-automation/ EPIC has set itself apart from the competition and solidified itself as the leader in the space.  Do not get left behind in this transformative time of market adaptation!

To learn more about how EPIC can enhance your trading strategy across Nasdaq, oil, crypto, and more, visit epicaihub.io or reach out to me directly at c.kerns@epicaihub.io.

Other reading:

Epic doesn’t care if the market is up or down. Getting the best returns from each market move this is how Epic is designed to outperform. NQ velocity protocol (Epic Agentic AI) vs Nasdaq.

https://x.com/jfmartyEPIC/status/1927391844658192486

 

 

In the volatile world of crude oil futures, EPIC Agentic AI Trading Software, available at [epicaihub.io](https://epicaihub.io), redefines success by treating trading as a strategic game. Now in version 6.1.1, EPIC uses advanced agentic AI to achieve a win rate exceeding 90%, delivering a real world trading 98% annualized ROI as in the most recent performance report and minimizing risk & drawdowns in chaotic markets.

Here’s a concise look at how EPIC plays the oil market like a master strategist, leveraging cutting-edge AI to secure consistent wins.

EPIC and Agentic AI: A Game-Changing Approach

EPIC is a proprietary algorithmic trading system refined over nine years, originally designed for crude oil futures, now with applications in NASDAQ, cryptocurrencies, and soon equities. Unlike traditional AI, which predicts based on historical data, EPIC’s agentic AI swarms actively perceive live market conditions—price action, order flow, and volatility—sets goals, plans strategies, and executes trades autonomously. Think of it as a chess grandmaster, anticipating market moves and acting with precision to outmaneuver volatility.

EPIC approaches oil trading as a high-stakes game, mapping the market like a dynamic board and executing moves with surgical accuracy. Here’s how it wins:

1. *Pinpointing the Lows*: EPIC identifies intra-day price bottoms with over 90% accuracy using 19 algorithmic chart models across multiple time frames. By analyzing support levels and proprietary IDENT order flow data, it enters trades at optimal reversal points—akin to placing a game piece at the perfect starting position.

2. *Targeting the Optimal Exit*: The software aims to “meet in the middle,” entering at lows to ride price moves to profitable exit points, ensuring trades are either profitable or break even. Its Balanced protocol secures stable, long-term gains, while the Velocity protocol capitalizes on rapid, high-frequency opportunities, maximizing returns.

3. *Minimizing Losses*: EPIC’s agentic AI dynamically manages risk, swiftly closing losing positions or pivoting to new opportunities. With a Sortino ratio of 10.74, it delivers elite risk-adjusted returns, ensuring losses are rare and controlled.

4. *Mastering the Board*: EPIC maps key price levels—support, resistance, and pivots—like strategic points on a game board. Its real-time analysis of order flow and volatility allows it to adapt instantly, unlike static models, ensuring precise entries and exits.

5. *Executing Autonomously*: Acting like a seasoned player, EPIC autonomously executes trades to capitalize on predictable intraday swings.

Why EPIC Wins?

EPIC’s game-like strategy delivers:
– *High Win Rate*: Over 90% success in pinpointing bottoms.
– *Dynamic Adaptability*: Agentic AI thrives in volatile markets.
– *Proven Performance*: Transparent results via live dashboards at dashboard.epicaitrader.com
– *Accessibility*: Traders can integrate EPIC’s signals through various platforms to follow real-time alerts.

Get in the Game!

EPIC Agentic AI Trading Software turns oil trading into a calculated victory, using agentic AI to master market dynamics with precision. Explore its live dashboard at dashboard.epicaitrader.com today. With EPIC, every trade is a strategic move toward consistent profits.

A thread on X explains it more detail here https://x.com/Kielmariant/status/1925916233330774132.

My name is Kiel Mariant and I am an Agent at EPIC Agentic AI.

Twitter: https://x.com/Kielmariant

Email: k.mariant@epicaihub.io

EPIC Agentic AI (epicaihub.io), is a specialized trading software that uses autonomous AI agent swarms to execute trades with minimal human intervention, focusing on markets like crude oil, NASDAQ, crypto, and soon to be released Equity Basket of Stocks with a recently reported win/loss ratio of 7.6:1, significantly higher than typical quant trading systems (1.5:1 to 5:1).

EPIC AI’s training involves pushing AI agents to their limits, identifying failure points, and retraining them to enhance ROI while maintaining risk mitigation, demonstrating strong performance metrics such as closing intraday crude oil trades with gains of +756 and +1417 ticks in yesterday’s trading session.

The software leverages predictive analytics and rapid execution, unlike general AI which solves multi-step problems across various domains, and it has actively traded volatile markets, noting a pivot to net short on NQ last week, with further details available on our website, X feeds and performance dashboard.

The process described in the context of EPIC AI’s training is a common approach in the AI industry, particularly for developing and optimizing trading systems. Here’s a general explanation of this process:

1. Pushing Agents to Their Limits

Concept: AI agents, in this case, are autonomous entities within the system designed to perform specific tasks, such as executing trades based on predefined algorithms and market data.

Process: These agents are tested under extreme conditions to understand their performance boundaries. This involves simulating high-volatility scenarios, large data inputs, and rapid decision-making environments to see how they handle stress and complexity.

Purpose: The goal is to identify the maximum capacity and potential weaknesses of the agents, ensuring they can operate effectively under real-world market conditions.

2. Identifying Failure Points

Concept: Failure points are scenarios where the AI agents underperform, make incorrect decisions, or fail to meet expected outcomes.

Process: During testing, the system monitors the agents’ performance metrics, such as accuracy, speed, and profitability. Any deviations from the desired outcomes are logged and analyzed.

Purpose: Understanding these failure points is crucial for improving the system. It helps in pinpointing specific algorithms, data inputs, or decision-making processes that need refinement.

3. Retraining to Enhance ROI and Maintain Risk Mitigation

Concept: Retraining involves updating the AI models with new data, adjusting algorithms, and fine-tuning parameters to improve performance.

Process: Data Analysis: The failure points and performance data are used to identify patterns or errors in the AI’s decision-making process.

Algorithm Adjustment: The underlying algorithms are modified to address these issues. This might involve changing weightings in machine learning models, updating trading strategies, or incorporating new risk management rules.

Simulation and Testing: The retrained agents are then tested again in simulated environments to ensure improvements.

Purpose: The aim is to enhance the Return on Investment (ROI) by improving the accuracy and profitability of trades while also maintaining risk mitigation strategies to protect against significant losses.

4. Demonstrating Strong Performance Metrics

Concept: Performance metrics are quantitative measures that evaluate the success of the AI system, such as trade gains, win/loss ratios, and risk-adjusted returns.

Process: In the case of EPIC AI, the system demonstrated strong performance by closing intraday crude oil trades yesterday with significant gains (+756 and +1417 ticks). This indicates that the retraining and optimization efforts were successful.

Purpose: These metrics serve as evidence of the system’s effectiveness and are used to validate the training process and attract potential users or investors.

General Industry Context

Iterative Development: This process is iterative, meaning it involves continuous cycles of testing, failure analysis, and improvement. In the AI industry, particularly for trading systems, this is essential due to the dynamic nature of financial markets.

Risk Management: A key focus is on balancing potential gains with risk mitigation, as excessive risk can lead to substantial losses, undermining the system’s reliability.

Data-Driven Decisions: The entire process relies heavily on data. Large datasets are used for training, and real-time data is crucial for ongoing performance and adjustments.

Specialization: While the process is general, the specifics (e.g., the types of agents, the markets targeted, and the performance metrics) are tailored to the particular application, in this case, trading in volatile markets like crude oil, crypto, stocks and NASDAQ.

Example in Trading

Initial Training: Agents are trained on historical market data to recognize patterns and make predictions.

Stress Testing: They are then exposed to simulated extreme market conditions to identify weaknesses.

Failure Analysis: If an agent consistently fails to predict a market downturn, the system analyzes why (e.g., inadequate data, flawed algorithm).

Retraining: The agent is retrained with additional data or a revised algorithm, incorporating new risk management protocols.

Performance Evaluation: The improved agent is deployed, and its performance (e.g., +756 ticks gain) is measured against benchmarks.

This rigorous, data-driven approach ensures that AI systems like EPIC AI can adapt to changing market conditions, improve over time, and deliver consistent results, which is critical for maintaining trust and effectiveness in the trading industry.

Summary: How EPIC AI is Accomplished

Building a system like EPIC AI requires a combination of advanced technology, data, and expertise. The following components are involved:

Data Infrastructure:

High-quality real-time and historical market data is essential, sourced from exchanges and APIs.

Algorithmic Framework:

Reinforcement learning is central, with agents learning from simulated trades. Deep learning techniques, such as neural networks are used for pattern recognition.

Multi-agent systems, where agents specialize in tasks like market selection and trade execution, align with designs in Designing a Detailed Multi-Agent Trading System Using AI.

Computational Resources:

Powerful computing infrastructure, such as GPUs and cloud platforms, are needed for processing large datasets and running simulations.

Risk Management:

Robust risk controls, such as stop-loss limits and position sizing, are critical, especially for volatile markets. EPIC’s focus on risk mitigation involves highly sophisticated integrated risk management protocols.

Continuous Improvement:

Ongoing monitoring and retraining ensure adaptability. For instance, EPIC’s updates, like v3 and v4, indicate a process of iterative enhancement

Integration with Trading Platforms:

Seamless integration with brokers and trading platforms via APIs is necessary for real-time execution.

Conclusion

Training AI agents for trading, as seen in systems like EPIC AI, involves a rigorous, data-driven process centered on reinforcement learning, stress testing, and continuous improvement.

EPIC AI, developed by Compound Trading Group, exemplifies this with its autonomous agent swarms, achieving exceptional results in markets like crude oil, NASDAQ, crypto and stocks.

Accomplishing such a system requires advanced data, algorithms, and computational resources, with ongoing monitoring to adapt to market changes.

While exact methods are proprietary, EPIC AI deploys a robust, multi-agent architecture that aligns with advanced Agentic AI industry trends.

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Key Expectations for Performance:

EPIC Agentic AI Oil Trading Software

To help you navigate market volatility with confidence, this document outlines the key performance expectations and insights into the trading approach of the EPIC Agentic AI Oil Trading Software. Understanding these principles will prepare you psychologically for the journey ahead and align your perspective with EPIC’s long-term strategy.

Position Trading Principles

EPIC employs a position trading strategy, utilizing multiple entries and exits to build optimal positions when trading in trending markets. This approach enables EPIC to capitalize on market trends by gradually scaling into positions and dynamically adjusting as market conditions evolve. While it may seem counterintuitive—particularly when EPIC takes positions that appear to oppose a market move—this is an intensely calculated method. The AI optimizes the probability of success by managing trades to minimize risk and maximize gains over time, even in volatile or adverse market conditions.

Cyclical Nature of Trading

EPIC’s trading performance follows a cyclical pattern driven by its continuous AI learning, development, and the inherent cyclical nature of markets. The software is designed to push the boundaries of profitability, often resulting in a parabolic-shaped returns graph during periods of aggressive trading. This occurs as EPIC optimizes its strategies to maximize gains within a cycle. However, when the system reaches the limits of a cycle, it may encounter its largest losses, as the AI tests the boundaries of market conditions. Following such periods, EPIC reduces its aggressiveness, recalibrates, and begins a new cycle of growth. This adaptive process reflects the software’s ability to learn, improve, and push the limits of what is possible.

Additionally, markets themselves exhibit a cyclical nature in terms of the structures and order flows that EPIC relies on to achieve its elite level of success. When these market structures and flows are intact, EPIC can dominate with outsized wins, leveraging its AI to capitalize on optimal conditions. During periods when market structure and order flow are less than ideal, EPIC may experience losses or adopt a more conservative approach, effectively taking the foot off the gas while waiting for favorable conditions to return. Through all market cycles, EPIC’s best-in-class risk management ensures that potential downsides are carefully controlled, protecting your account while positioning for future opportunities.

Implication for Account Management: When deciding when to start accounts or add or remove funds, consider both EPIC’s internal trading cycles and the cyclical nature of market conditions.

Periods of parabolic gains or strong market structures may be followed by drawdowns or quieter phases, while recalibration periods may offer more stable entry points. Staying mindful of these cycles can help you align your account decisions with EPIC’s dynamic behavior.

Drawdowns Are Normal

At any given time, drawdowns of 10-15% are within expected ranges, with larger drawdowns possible at the peak of a trading cycle or during suboptimal market conditions. These temporary declines in account value are a natural part of trading and do not indicate system failure. The position trading strategy and cyclical nature of EPIC’s approach may contribute to short-term fluctuations as the AI navigates all market conditions to secure advantageous positions.

Losses on Individual Trades Are Expected

EPIC’s strength lies in generating positive returns over many trades, not in winning every single one. The use of multiple entries and exits, combined with the cyclical push for maximum gains and varying market conditions, means some trades—particularly at cycle peaks or during disrupted market structures—may close at a loss as part of the broader strategy to achieve an optimal position. These losses are integral to the system’s calculated and adaptive approach.

Long-Term Advantage

The software’s AI is engineered to deliver a mathematical edge, ensuring profitability over extended time frames when used as intended. By leveraging the inherent mathematics of markets, sophisticated position management, continuous learning, and best-in-class risk management, EPIC achieves consistent, elite performance. The system is designed for the long haul, targeting annual returns of 80% or higher, though results depend on market conditions, user settings, and the cyclical phase.

Key Tip

Avoid focusing on daily or weekly results, as short-term fluctuations, cyclical peaks, and varying market conditions are expected. Instead, review your performance on a monthly or quarterly basis to align with EPIC’s long-term, position-based, and cyclical strategy. Trust the AI’s calculated, adaptive, and risk-managed approach, even when short-term market moves, cycle transitions, or market structure disruptions seem unexpected. When planning account changes, such as starting, adding, or removing funds, consider consulting with your EPIC representative to discuss the current cycle phase and market conditions.

PDF Key Expectations for Performance

Instrument Comparison

Welcome to EPIC Agentic AI, where advanced automation powers strategic trading. This document outlines the pros and cons of three key trade instruments—Oil, Nasdaq, and Cryptocurrency—offered through our proprietary Velocity Protocols. Each instrument offers unique opportunities and risks, designed for different investor profiles. Use this guide to select the option that best aligns with your financial goals.

Overview of Trade Instruments

EPIC’s trading software leverages cutting-edge AI to optimize returns across three instruments: Oil, Nasdaq, and Cryptocurrency (BTC, SUI, SOL, XRP, TAO, ETH). Below, we compare their key features, including return potential, volatility, activity levels, and entry requirements.

Instrument	Minimum Account Size	Return Potential	Volatility	Market Activity	Key Advantage	Key Drawback
Oil	$100,000	Highest	High	Almost always active	Maximizes ROI	Significant swings/drawdowns
Nasdaq	$200,000	High	Low	Consistently active	Stable performance	High entry barrier, lower ROI than oil
Crypto	$25,000	Moderately High	Medium	Variable (can be inactive)	Low entry barrier	Periods of inactivity

Detailed Analysis

1. Oil Velocity Protocol

• Pros:

• Highest ROI Potential: Offers the greatest return on investment among EPIC’s protocols, ideal for aggressive investors.
• Constant Market Activity: The oil market is nearly always active, ensuring your capital is consistently engaged.

• Cons:
  • High Volatility: Significant price swings and drawdowns require a strong risk tolerance.
  • Entry Barrier: A $100,000 minimum account size limits accessibility for some investors.
• Best For: High-net-worth investors seeking maximum returns and comfortable with volatility.

2. Nasdaq Velocity Protocol

• Pros:

• High Return Potential: Delivers strong returns, appealing to investors seeking robust growth with less volatility than Oil.
• Low Volatility: Provides a stable trading experience with fewer dramatic swings.
• Consistent Activity: The Nasdaq market offers reliable data for EPIC to execute trades consistently.

• Cons:
  • High Entry Barrier: Requires a $200,000 minimum account, the highest among the protocols.
• Best For: Investors prioritizing stability and strong returns but with significant capital to deploy.

3. Crypto Velocity Protocol (BTC, SUI, SOL, XRP, TAO, ETH)

• Pros:

• Low Entry Barrier: A $25,000 minimum account makes this protocol accessible to a broader range of investors.
• Moderately High Return Potential: Offers attractive returns during active market periods, balancing risk and reward.

• Cons:
  • Variable Activity: Extended periods of low market activity may result in EPIC holding no positions, pausing returns.
  • Medium Volatility: More volatile than Nasdaq but less than Oil, requiring moderate risk tolerance.
• Best For: Investors with smaller capital pools seeking strong returns and willing to accept occasional inactivity.

Why Choose EPIC Agentic AI?

EPIC’s automated trading software uses advanced AI to analyze market data and execute trades with precision. Each Velocity Protocol is optimized for its respective instrument, offering tailored solutions for diverse investor needs. Whether you prioritize maximum returns, strong growth with stability, or accessibility, EPIC has a solution for you.

Next Steps

Ready to explore EPIC’s trading solutions? Contact our team at contact@epicaihub.io to discuss which Velocity Protocol aligns with your investment goals. Visit https://epicaihub.io/ for more details on account setup and performance metrics.

PDF https://epicaihub.io/wp-content/uploads/2025/05/EPIC-Trade-Instruments-Comparison.pdf

 

 

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