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Why Don’t You Just Trade Fully Automated Trading Systems?

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In the modern trading landscape, the allure of fully automated trading systems is strong. With promises of hands-free profits and sophisticated algorithms, it’s easy to understand why traders might gravitate toward this approach. However, the reality of fully automated trading systems (ATS) is more complex. Let’s explore why traders often favor hybrid automated trading systems, such as those leveraging AFT (Algo Futures Trading) and AWT (AlphaWebTrader), for a more robust, adaptable trading strategy.

The Reality of Fully Automated Trading Systems

Lack of Market Adaptability

Fully automated systems rely on preprogrammed rules and historical data. While these rules can be effective in specific market conditions, they often fail to adapt to unforeseen changes, such as major economic events, news catalysts, or shifts in market sentiment. Markets are dynamic, and rigid systems can struggle to keep up.

Prop Firm Constraints

Prop firms, which offer traders access to funded accounts, typically prohibit 100% automated trading. This restriction exists because fully automated systems can quickly breach drawdown limits due to their inability to pause or recalibrate during volatile phases. Hybrid systems provide a manual override capability, aligning better with these rules.

The Drawback of Black Box Systems

Many fully automated systems are “black boxes,” offering no transparency into their logic. Traders using these systems are left to trust algorithms they don’t understand, making it challenging to diagnose issues or improve performance during losing streaks.

Risk of Over-Optimization

Fully automated systems often fall victim to over-optimization, tailoring their strategies to fit historical data too precisely. This can lead to poor performance in live markets where conditions deviate from the backtested scenarios.

Why Hybrid Automated Trading Systems Are Superior

Dynamic Decision-Making

Hybrid systems empower traders to leverage automated signals for consistency while retaining the ability to intervene based on market context. For instance, with AFT and AWT, traders can follow algo signals while using their judgment to adjust trades during pivotal moments.

Enhanced Control

Hybrid trading blends the precision of automation with the control of manual trading. Systems like AFT + AWT allow traders to configure algo signals, filters, and exits or even inject their own logic into the framework. This flexibility makes hybrid systems adaptable to diverse trading styles and market conditions.

Compliance with Prop Firm Rules

Hybrid trading aligns well with prop firm guidelines. A trader can combine systematic signals with manual execution, reducing the risk of breaching drawdown limits and ensuring compliance with firm regulations.

Improved Risk Management

Hybrid systems enable traders to manage risks more effectively by manually overriding or modifying trades in response to unforeseen events. Automation handles repetitive tasks, while traders focus on high-level decision-making.

Scalability and Growth

Hybrid systems, like those powered by AFT and AWT, provide a pathway for traders to evolve. Beginners can start with semi-automated setups, manually taking systematic signals, and progressively transition to fully automated strategies for specific markets or sessions.

How AFT + AWT Combine the Best of Both Worlds

  • Algo Signals + Human Insight: AFT provides systematic trading signals, while AWT offers tools like TradeViewPoint and Trendo to monitor market conditions and correlations.
  • Customizable Automation: Traders can build and refine their strategies by adding filters, adjusting parameters, or incorporating custom logic into the baseline settings.
  • Learning Through Execution: Hybrid trading encourages traders to learn market behavior through hands-on experience, fostering a deeper understanding of when to trade and when to step aside.

Conclusion

While fully automated trading systems may seem like the ultimate solution, their limitations in adaptability, transparency, and risk management often make them unsuitable for long-term success. 80% of traders lose at day trading manually, and up to 95% of day traders lose at fully automated trading!

Hybrid automated trading systems, such as those utilizing AFT + AWT, provide the perfect balance of automation and human intelligence, offering flexibility, control, and scalability. Our VIP Trading group can surpass 66% winners versus losers, compared to the standard retail world of 20% wins. Need we say more? AFT + AWT were purpose-built for hybrid trading specifically as we want the maximum profit with the least drawdown systems.

By combining the best of both worlds, traders can harness the power of automation while retaining the discretion to navigate the complexities of modern markets. Whether you’re seeking consistency, compliance, or growth, a hybrid approach paves the way for sustainable trading success.

Book list reading list on trading systems performance

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Books on Trading System Analysis and Improvement


Books on Trading System Analysis and Improvement

Here’s a curated list of books on system expectancy, trading performance measurement, and related concepts to deepen your understanding of trading system analysis and improvement:

Trading System Development and Expectancy

  1. “Trade Your Way to Financial Freedom” by Van K. Tharp
    • A comprehensive guide to system development, expectancy, and position sizing.
    • Focuses on creating systems tailored to your trading psychology and goals.
  2. “Building Winning Algorithmic Trading Systems” by Kevin Davey
    • Offers practical advice on designing, testing, and optimizing trading systems.
    • Emphasizes risk management and long-term profitability.
  3. “Design, Testing, and Optimization of Trading Systems” by Robert Pardo
    • A detailed guide on developing and validating trading systems.
    • Introduces robust testing techniques and optimization strategies.

Risk and Money Management

  1. “The Mathematics of Money Management” by Ralph Vince
    • A deep dive into money management strategies and their impact on trading expectancy.
    • Explores concepts like optimal bet sizing and drawdown control.
  2. “The New Trading for a Living” by Dr. Alexander Elder
    • Covers trading psychology, system design, and risk management.
    • Includes practical tools for measuring and improving system performance.
  3. “Position Sizing: The Key to Maximum Returns” by Van K. Tharp
    • Explains how position sizing impacts trading system expectancy and overall results.

Performance Measurement and Trading Metrics

  1. “Beyond Technical Analysis” by Tushar S. Chande
    • A focus on system development and performance measurement metrics.
    • Introduces innovative methods for evaluating trading systems.
  2. “Systematic Trading” by Robert Carver
    • Covers quantitative approaches to trading and performance evaluation.
    • Explains how to test, measure, and refine trading systems.
  3. “Quantitative Trading Systems” by Howard B. Bandy
    • Discusses the mathematics and analysis behind trading systems.
    • Provides actionable advice on evaluating system performance.

General Trading and Market Analysis

  1. “The Art of Trading: A Complete Guide to Trading the Markets” by Christopher Tate
    • Combines trading psychology, technical analysis, and system evaluation.
    • Great for beginners looking to understand expectancy and performance metrics.
  2. “Trading Systems and Methods” by Perry J. Kaufman
    • A classic, comprehensive resource on trading system development and analysis.
    • Covers tools, metrics, and strategies for system evaluation.
  3. “Thinking in Bets” by Annie Duke
    • Focuses on decision-making under uncertainty, relevant to trading expectancy.
    • Explains how to approach probability and outcomes objectively.

Trading Psychology and Long-Term Performance

  1. “The Disciplined Trader” by Mark Douglas
    • Explores the psychological aspects of trading and their impact on performance.
    • Includes methods to build consistency and discipline in trading.
  2. “Trading in the Zone” by Mark Douglas
    • Focuses on mindset and emotional control to enhance system performance.
    • Complements expectancy by addressing trader behavior.
  3. “The Mental Game of Trading” by Jared Tendler
    • Explores the psychological challenges of trading and how to overcome them.
    • Offers tools for improving discipline and maintaining focus.

These books cover a mix of technical, quantitative, and psychological aspects of trading, offering a well-rounded approach to improving your systems and understanding expectancy.


Trading System Win Rates: Ranges, Realities, and Refinements

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I was recently asked, “What win ratio percentage do your algos achieve?” This is a broad and open-ended question. It is a good question, but not a great one. It is not the kind of question a professional trader or fund manager would usually ask. They would be more likely to ask about NAV, percentage return, drawdown, or, better still, expectancy—and then discuss win ratio, risk-reward, and system preference from there.

Let’s put the question into proper perspective.

AFT (Algo Trading Framework) is a comprehensive trading framework with preconfigured turnkey systems that give traders a ready-made starting point. At the same time, it also allows traders to configure, combine, and even code their own system rules. With such a broad range of features and flexibility, there is no single answer to what a system can achieve. The permutations are extensive, and traders can spend years refining, optimizing, and evolving their own approach if they choose.

For many traders, the journey begins with the turnkey systems, which provide a solid baseline. From there, traders can learn the process, optimize their execution, experiment carefully, and build a more personalized approach. Some traders keep things simple and stay close to the turnkey setups, while others evolve into a highly refined hybrid trading style. Either way, AFT adapts to the trader’s skill level and objectives.

Win Rates Vary Widely

Trading system win rates can vary widely depending on the trader’s goals, the style of system, the market traded, and the system rules in play. In general, trading systems can range anywhere from 35% to 95% win rates. However, win percentage alone tells very little unless you also understand the risk-reward profile and the expectancy of the system.

Baselines, Win Rates, and System Profiles

At Algo Trading Systems, baseline systems are intended to be starting points. They are not fixed promises, guarantees, or magic settings. They are framework baselines that reflect a certain trading style and system profile, and the actual results always depend on the trader, the rules being used, market conditions, and execution quality.

Typical Baseline Ranges

  • Session Breakout System: 50% to 66% is a typical range.
  • Trend Scalper System: 66% to 85% is a typical range.

These are not hard promises. They are typical baseline profile ranges and depend entirely on the system rules in play, which ultimately comes down to the trader.

Baseline Profile by System Type

Baseline Session Breakout is generally a looser system profile. It is broader in structure and typically targets around 50% average win rate with a positive risk-reward goal of approximately 1:1.25.

Baseline Trend Scalper is generally a tighter system profile. It is designed to seek more frequent accuracy and typically targets around 65% average win rate with a 1:1 risk-reward goal.

This is why win percentage on its own can be misleading. A lower win rate with better risk-reward can outperform a higher win rate with poor expectancy. The real question is always how win ratio and risk-reward work together over a meaningful sample of trades.

In the real world, traders using hybrid methods, better trade selection, timing, and execution may improve on the baseline profile substantially. That improvement comes from skill, discretion, and experience—not from simply chasing settings.

Why Win Percentage Alone Is Misleading

Win percentage is an important metric, but it cannot determine profitability on its own. For example, a system with a 95% win rate could still lose money after commissions, slippage, and costs if the losses are too large relative to the wins.

A more useful measure combines win ratio and risk-reward into expectancy. For example:

  • A 65% win rate with a 1:1 risk-reward ratio is excellent.
  • A 50% win rate with a 1:2 risk-reward ratio would be exceptional.
  • A 50% win rate with a 1:1.25 risk-reward ratio is more typical and sustainable.

Example: High Win Ratio Scalper System (ES Futures)

Consider a scalping system with the following parameters:

  • Stop: 24 ticks
  • Target: 8 ticks

If we assume random price movement without any real edge or strategy, the probability of price hitting the target or stop is broadly related to their relative distances from entry. The nearer price objective is more likely to be reached first.

Probabilities

  • Target Being Hit: 75%
  • Stop Being Hit: 25%

That means the system could achieve a 75% win rate largely on distance bias alone, even without any genuine trading edge.

Adjusted Example: Smaller Target

  • Stop: 28 ticks
  • Target: 6 ticks
  • Total Distance: 34 ticks

Probabilities

  • Target Being Hit: 82.35%
  • Stop Being Hit: 17.65%

In this case, the target is 82.35% likely to be hit because it is much closer to the entry point than the stop.

Caveats of High Win Ratios

While this kind of system heavily favors hitting the target, it also creates a poor risk-reward profile. In this example, the system would need a very high win rate just to overcome the imbalance.

Improving the System

The way to improve a system is not simply by pushing targets closer to inflate the win rate. A better approach is to align trading with high-probability times and better conditions.

  • Stop: 20 ticks
  • Targets: 20, 40, and 100

With trading skill and discipline, it is realistic to move a system from around 50% to 65% or higher.

Introduction to Expectancy

Expectancy combines win percentage and risk-reward ratio to estimate the average outcome per trade.

Expectancy Example 1: Negative

  • Loss: 24 ticks
  • Reward: 12 ticks
  • Win %: 66%

Expectancy = (0.66 × 12) − (0.34 × 24) = -0.24

This system loses over time despite a strong win rate.

Expectancy Example 2: Positive

  • Loss: 24 ticks
  • Reward: 20 ticks
  • Win %: 66%

Expectancy = (0.66 × 20) − (0.34 × 24) = +5.04

This system is profitable over time.

Combining Systems for Success

Using AWT with AFT improves trade selection and confirmation, increasing win rate and expectancy without changing stops or targets.

Traders may achieve 85%+ in strong conditions, but a consistent ~66% with 1:1 risk-reward is already high-level performance.

Conclusion

Hybrid trading allows you to increase win rate without destroying system profile. The goal is not chasing settings but improving execution, timing, and discipline.

It is about refining one robust method until performance becomes consistent and repeatable.

A Simple Analogy

Think of it like a Tesla on autopilot vs. a skilled driver. The system performs—but the human enhances performance through adaptation and control.

Trading is dynamic. The edge comes from human + machine, not automation alone.

How to perform Network testing for a trading server?

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Network testing for a trading server requires a rigorous approach to ensure the lowest latency and highest reliability. Here’s a breakdown of the gold standard in testing methodologies and tools:

1. Key Performance Indicators (KPIs)

  • Latency: This is the most critical metric. Measure round-trip time (RTT) in microseconds (”s) for order submission and market data updates. Aim for consistently low latency with minimal jitter (variation in latency).
  • Jitter: Variations in latency can disrupt order execution timing. Measure jitter to identify inconsistencies in network performance.
  • Packet Loss: Lost packets can lead to missed orders or inaccurate market data. Measure packet loss as a percentage of total packets sent.
  • Throughput: Ensure sufficient bandwidth for peak trading volumes. Measure throughput in megabits or gigabits per second (Mbps or Gbps).
  • Error Rate: Monitor for network errors that can disrupt trading activity. Measure errors per second or as a percentage of total traffic.

2. Testing Tools & Techniques

  • Network Simulation Tools:
    • Hardware Simulators: Expensive but offer the most realistic testing environment. Examples include Spirent TestCenter and Ixia IxNetwork.
    • Software Simulators: More affordable and flexible. Examples include Packet Tracer, GNS3, and OPNET Modeler.
  • Dedicated Testing Environment: Replicate your production environment as closely as possible for accurate results. This includes network hardware, server configurations, and market data feeds.
  • Load Testing: Simulate peak trading conditions with high message rates and order volumes. Tools like LoadRunner or JMeter can be used.
  • Stress Testing: Push the network beyond its limits to identify breaking points and bottlenecks.
  • Failover Testing: Simulate network failures (e.g., link or switch failure) to verify redundancy and failover mechanisms.
  • Monitoring Tools: Use real-time network monitoring tools to identify performance issues during testing. Examples include SolarWinds Network Performance Monitor and PRTG Network Monitor.

3. Best Practices

  • Baseline Testing: Establish a performance baseline in a controlled environment.
  • Continuous Monitoring: Continuously monitor network performance during testing and in production.
  • Automated Testing: Automate tests to ensure consistency and repeatability.
  • Documentation: Thoroughly document test procedures, results, and analysis.

4. Specialized Considerations for Trading Servers

  • Co-location: If your server is co-located with an exchange, focus on testing connectivity to the exchange’s network.
  • Market Data Feeds: Test the performance of your market data feeds with tools like those from Vela Trading Technologies or Refinitiv.
  • Order Routing: Test the entire order routing path, from your trading application to the exchange and back.
  • Time Synchronization: Ensure accurate time synchronization using NTP (Network Time Protocol) servers.

5. Example Test Scenarios:

  • Latency under peak load: Simulate high message rates and order volumes to measure latency under stress.
  • Packet loss during market volatility: Simulate a period of high market volatility with rapidly changing prices to measure packet loss.
  • Failover to backup network link: Simulate a primary network link failure to verify failover to a backup link.

By following these guidelines, you can establish a gold standard for network testing your trading server, ensuring optimal performance, reliability, and successful trading outcomes.

Note: We performed many of the above tests when selecting QuantVPS as our preferred Trading Server providers.

Limited Seats and Rigorous Selection Process for Elite Trading Community

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Limited Seats and Rigorous Selection Process for Elite Trading Community

AlgoTradingSystems.net (ATS), a leading provider of automated trading systems for NinjaTrader, is raising the bar for trader performance by introducing a rigorous selection process and limited seats for its exclusive trading community. This initiative focuses on cultivating a high-trader IQ trading environment where dedicated individuals can thrive and achieve their goals without the chaos of large trading groups, the blind leading the blind typical of the retail trading ecosystem, or becoming dependent on a guru or trade leader. The best gift to anyone is financial freedom and independence, and this is always our focus and raison d’ĂȘtre.

The ATS Approach: Quality Over Quantity

ATS recognizes that not all traders are created equal. To foster an environment of excellence, the company has implemented a multi-faceted approach:

  • Trader Selection: Access to ATS systems and trading groups is limited to those who demonstrate a strong understanding of trading principles, a commitment to continuous learning, and a winning mindset.
  • Discovery Meeting: Potential members undergo a comprehensive Discovery Meeting to assess their trading knowledge, experience, and goals. This ensures alignment with ATS’s values and community standards.
  • Onboarding & Setup: Every trader accepted after the Discovery Meeting will be invited to attend a one-to-one onboarding meeting to facilitate setup, installation, and access to VIP group resources.
  • Zero to Hero Program: Accepted traders embark on the “Zero to Hero” program, a unique blend of education, mentorship, and practical application. This program not only filters out less committed individuals but also equips traders with essential skills and habits for success.
  • Action, Routine, Habit: ATS emphasizes the importance of consistent action, disciplined routines, and winning habits. This structured approach fosters a culture of accountability and continuous improvement. Make the habit, and it will make you or break you – by following our methods, the winning mindset can succeed at trading.
  • Trader Reviews: The Trader Success Team provides regular trading reviews for free trialists and Zero to Hero attendees.
  • Real System Developer Support: The pioneer of automated trading for retail trading is on hand for one-to-one interactive support to assist trader journeys. Get it from the source!

The Benefits of an Elite Trading Community

By fostering a group of high-IQ traders, ATS creates a dynamic environment where members can:

  • Benefit from collective wisdom: Learn from experienced traders, share insights, and gain diverse perspectives on trading approaches.
  • Accelerate their learning curve: Receive personalized guidance and mentorship, fast-tracking their progress and avoiding common pitfalls.
  • Develop a winning mindset: Embrace a culture of discipline, resilience, and continuous improvement, essential for long-term trading success.
  • Access exclusive resources: Unlock advanced trading systems, tools, and educational materials designed to enhance performance and profitability.

Who Should Apply?

ATS encourages applications from traders who are:

  • Highly motivated and results-oriented: Individuals with a burning desire to succeed and a willingness to put in the effort required to achieve their goals.
  • Committed to continuous learning: Traders who are eager to expand their knowledge, refine their skills, and stay ahead of market trends.
  • Team players with a collaborative spirit: Individuals who value knowledge sharing, mutual support, and contributing to a community.
  • Possess systematic discipline: Traders who are committed to implementing consistent routines and developing winning habits.
  • Good Technical PC Skills: Traders who are able to use desktop, mobile, and web apps with confidence can self-assist prior to seeking support.

7 day Full Free Trial!

  • ATS Universal: Full features live trial
  • Trader Onboarding: Guided install & setup
  • Turnkey Workspaces: Zero to Hero Course
  • Indices Futures: VIP Trading Group
  • Trader Reviews: Progress Meetings

Trader Prerequisites

Suitable for traders fully committed to success

Quality, Not Quantity. Thoroughbreds run best when they run together!

“We’re not just providing trading systems; we’re building an elite community of successful traders. By carefully selecting and nurturing talented individuals, we create a powerful synergy that elevates everyone’s performance – our ultimate goal would be to invert the recognized benchmark of 80% losing at day trading futures, to make it 80% winning at trading in our groups – and we are more than halfway there!” – Tom Leeson, CEO of ATS.

Unveiling the Path to Success hybrid automated day trading

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Key Questions Every Trader Should Ask

  1. What is your capital size? Your starting capital plays a crucial role in determining position sizing, risk management, and overall strategy feasibility.
  2. What is your risk percentage? Define a clear risk percentage per trade or portfolio, e.g., 1-2%. This ensures you survive losing streaks and avoid catastrophic drawdowns.
  3. What system and rules are you using?
    • Trade Frequency: Are you taking 1-2 trades a week or several trades daily?
    • Win Rate: What percentage of your trades are winners?
    • Risk-Reward Ratio: How much are you risking for every unit of potential profit?
    • Risk of Ruin: Have you assessed the likelihood of blowing up your account?
    • Drawdown vs. Net Profit: Can you stomach the drawdowns required to achieve your profit goals?
  4. What are your commission fees? Costs, including commissions and slippage, significantly impact profitability, especially for high-frequency traders.
  5. Are you trading with prop firm capital or personal funds? Prop trading comes with constraints like daily loss limits and stricter risk rules. Real-money trading requires a cushion for slippage and psychological endurance.

Hybrid vs. Fully Automated Trading

Hybrid trading, a blend of automation and manual oversight, adapts to market conditions in ways machines cannot replicate. While fully automated systems can deliver results like 100% in 3 months or 250% annually, they come with high drawdowns and emotional detachment.

In contrast, hybrid trading offers:

  • Personalized decision-making.
  • Enhanced control over drawdowns.
  • A balance between consistency and adaptability.

Results from Our VIP Group

Real traders, real stats—our community showcases diverse outcomes:

  • $15,000 in a single day.
  • $1,000 consistently per week and more.
  • Mixed days/weeks/months of wins and losses.

The key takeaway? Focus on your journey rather than comparing yourself to others. The real question is: Can you master the method and technology to fit your trading style?

Winning Mindset: A Structured Path

  1. Commitment to Learning: Traders in our VIP group prioritize education over quick wins.
  2. Process Over Stats: Focusing on improving your execution and decision-making ultimately leads to consistent results.
  3. Quality Over Quantity: Only 20% of retail traders succeed, but our structured approach filters for the top winning mindset committed traders.
  4. High Trading IQ Community: Low attrition rates, no noise or nonsense, no one-eye kings in the valley of the blind, trader group success peaks over 66% per month.

Performance Expectations

  • Gold Standard: >25% monthly returns (akin to Goldman Sachs-level trading).
  • Great Returns: 5-10% per month for a retail trader.
  • Good Performance: Breaking even with <10% monthly drawdown.

Cutting-edge Technology and AI

We pioneered Hybrid Automated Trading with tools that maximize control and minimize drawdowns.

  • Remove emotional bias.
  • Improve decision-making in live markets.
  • Focus entirely on market dynamics rather than ego-driven trading.
  • Minimize over-trading and drawdown to maximize results.

Now, We Integrate AI Copilots in the Discord Trading Group to Provide:

  • Fundamentals
  • Econews
  • Earnings
  • Signals
  • Higher Time Frame Price Analysis
  • Pre-session and session analysis of ATS tools
  • Providing trading context and education on the systems
  • This means you get it all in one place – all you need.

Deep Learning AI

  • Cloud Data Lake for training
  • AI predictive real-time probability
  • Pending release 2025… Q1 we hope to work alongside the AFT and AWT

The Trading Journey

Think of trading like mastering a Formula 1 car. The Ferrari’s lap time is irrelevant if you’re not trained to handle its power. Consistent success requires thousands of hours of chart time, trade plan rules, stats, and a diary, learning from every step of the journey.

We provide the tools and framework to build winners, but the final results depend on your dedication.

Why Choose Us?

  • Real Trading, No Gimmicks: No retail tricks or stat manipulation.
  • High IQ Community: Learn alongside serious traders focused on growth.
  • Proven Technology: Leverage cutting-edge tools for real deal traders.
  • Realtime Live Market: Signals, technicals, news, and commentary!

Try our system for free and decide if it fits your style and goals. Focus on the process—the profits will follow. Join the revolution.

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