NinjaTrader Automated Trading by Algo Futures Trader

hybrid algorithmic automated futures trading for prop firm traders, day & swing traders

🚀 Get Started 🔴LIVE
  • 🚀Get Started
  • NinjaTrader
  • Get Funded
  • Trading Servers
  • Pricing
  • blog
  • Help

Manual Backtesting and NLP: A Synergistic Approach

December 22, 2024 by AFT

Diving Deep into Manual Backtesting: A Step-by-Step Guide for Traders

In the world of trading, where uncertainty reigns supreme, backtesting offers a beacon of clarity. It allows traders to test their strategies against historical data, providing valuable insights into their potential profitability and risk. While automated backtesting tools are readily available, manual backtesting offers a deeper understanding of your system’s mechanics and nuances. This article serves as a comprehensive guide to manual backtesting, focusing on systematic chart signals for long and short trades, entry orders, and exit orders.

What is Manual Backtesting?

Manual backtesting involves manually analyzing historical price charts to determine how a trading strategy would have performed in the past. This hands-on approach allows traders to meticulously evaluate each trade, identify patterns, and understand the reasoning behind wins and losses.

Why Choose Manual Backtesting?

While automated backtesting offers convenience, manual backtesting provides:

  • Deeper Understanding: Manually analyzing charts fosters a profound understanding of your strategy’s strengths and weaknesses in different market conditions.
  • Pattern Recognition: By visually inspecting charts, you can identify recurring patterns and refine your strategy accordingly.
  • Flexibility: Manual backtesting allows for subjective judgment, enabling you to account for nuances that automated systems might miss.
  • Enhanced Intuition: The process hones your trading intuition and helps you develop a feel for the market.

Manual Backtesting and NLP: A Synergistic Approach

Combining the strengths of manual backtesting with the power of NLP (Neuro-Linguistic Programming) can indeed elevate your trading game to new heights. Let’s explore how these elements intertwine: Manual backtesting provides a deep, intuitive understanding of your trading system. NLP, on the other hand, offers tools to enhance your mental processes and program your mind for success. Here’s how they complement each other:

  • Sharpened Sensory Acuity (See, Speak, Hear): NLP emphasizes the importance of sensory awareness. By consciously engaging your senses (sight, sound, even kinesthetic feeling) during manual backtesting, you become more attuned to subtle nuances in the charts.
    • See: Observe chart patterns with heightened focus, noticing subtle breaks in trends, volume shifts, and candlestick formations.
    • Speak: Verbalize your observations as you analyze the charts, green long, red short! This reinforces pattern recognition and strengthens neural pathways associated with successful trading.
    • Hear: Imagine the “sound” of the market with signals, indicators, and alerts, while a consolidation might feel “quiet.”
  • Programming the Mind for Expertise: NLP techniques like visualization, anchoring, and affirmations can be integrated into your backtesting routine.
    • Visualization: Imagine yourself executing trades flawlessly, adhering to your system with discipline and confidence.
    • Anchoring: Associate a specific touch or gesture with a successful trade or a state of focused trading. Trigger this anchor to instantly access that resourceful state.
    • Affirmations: Use positive affirmations like, “I am a disciplined trader,” or “I consistently follow my system,” to reinforce positive trading beliefs.
  • Accelerated Learning: NLP can help you learn from your backtesting experience more effectively.
    • Modeling: Study the charts of VIP Trading Playbook in the ATS VIP Group, and identify their patterns of decision-making. Integrate these patterns into your trading.
    • Meta-Modeling: Ask yourself powerful questions about your trading system, such as, “What are the key distinctions that make this signal successful?” or “How can I refine my entry to improve profitability?”
  • Emotional Mastery: Trading psychology is crucial. NLP provides techniques to manage emotions like fear and greed.
    • Reframing: Reframe negative thoughts or experiences during backtesting. For example, view a losing trade as a learning opportunity rather than a failure.
    • Dissociation: If you find yourself emotionally attached to a particular trade during backtesting, dissociate from the experience by viewing it as if it were happening to someone else. This helps you maintain objectivity.

Example: Integrating NLP into the USAR Trend Trading Strategy

Let’s revisit our previous example and incorporate NLP:

  1. Visual Acuity: As you scan the chart for long green signals, pay close attention to the state of the price action, indicators, volume accompanying, and the overall market context.
  2. Auditory Reinforcement Buy: When you spot a valid entry buy signal, say aloud, “Green Signal! long.” When exiting, say, “Reversal! Trade Exit long.”
  3. Auditory Reinforcement Sell: When you spot a valid entry sell signal, say aloud, “Red Signal! short.” When exiting, say, “Reversal! Trade Exit Short.”
  4. Kinesthetic Anchoring: As you record a winning trade in your spreadsheet, make a fist and say, “Winning trade!” Associate this gesture with the feeling of success.
  5. Visualization: Before each trading day (in your backtest), visualize yourself calmly analyzing the chart, identifying signals, and executing trades with precision.
  6. Affirmations: Repeat affirmations like, “I am a skilled trader who identifies high-probability setups.”

Tools for Manual Backtesting:

  • Historical Price Charts: Access to high-quality charts with various timeframes is essential.
  • Spreadsheet Software: A spreadsheet (e.g., Excel, Google Sheets) helps record trade details, calculate performance metrics, and analyze results.
  • Trading Journal: A journal to document observations, insights, and emotional responses during the backtesting process.

Steps to Manual Backtesting:

  1. Define Your Trading Strategy:
    • Systematic Chart Signals: Clearly define the chart patterns or indicators that trigger your entry and exit signals. Examples include:
      • Long Entry: Bullish engulfing pattern, breakout above resistance, signals indicators green signal long
      • Short Entry: Bearish engulfing pattern, breakdown below support, signals indicators red signal short
    • Trade Direction: Specify whether your strategy focuses on long trades (buy low, sell high), short trades (sell high, buy low), or both.
    • Entry Orders: Determine your order types for entering trades. Common types include:
      • Market Orders: Execute immediately at the current market price.
      • Limit Orders: Buy at a specified price or lower, or sell at a specified price or higher.
      • Stop Orders: Buy at a specified price or higher (stop-loss buy), or sell at a specified price or lower (stop-loss sell).
    • Exit Orders: Define your rules for exiting trades, including:
      • Profit Targets: Predetermined price levels at which to take profits.
      • Stop-Loss Orders: Orders to limit potential losses by exiting a trade at a predetermined price level.
      • Trailing Stops: Dynamic stop-loss orders that trail the price as the trade moves in your favor.
  2. Select Your Backtesting Period:
    • Choose a historical period that reflects the market conditions against which you want to test your strategy. Consider including periods of high volatility, low volatility, bull markets, and bear markets.
    • Ensure sufficient data points for statistically significant results. Aim for at least several months or years of data, depending on your trading frequency.
  3. Analyze Historical Charts:
    • Start by examining price charts for your chosen period.
    • Meticulously identify instances where your entry signals occur.
    • Mark your entry point on the chart based on your chosen entry order type.
    • Apply your exit strategy rules to determine your exit points and mark them on the chart.
    • Record the details of each trade (entry date, entry price, exit date, exit price) in your spreadsheet.
  4. Calculate Performance Metrics:
    • Winning Trades: Calculate the percentage of trades that resulted in a profit.
    • Losing Trades: Calculate the percentage of trades that resulted in a loss.
    • Average Win: Determine the average profit per winning trade.
    • Average Loss: Determine the average loss per losing trade.
    • Risk-Reward Ratio: Calculate the ratio of average win to average loss.
    • Maximum Drawdown: Calculate the largest percentage decline from a peak to a trough in your trading capital during the backtesting period.
    • Profit Factor: Calculate the ratio of gross profit to gross loss.
    • Sharpe Ratio: Measure risk-adjusted return, considering the strategy’s volatility.
  5. Analyze and Refine Your Strategy:
    • Identify Patterns: Analyze your trading journal and spreadsheet data to identify recurring patterns in winning and losing trades.
    • Refine Entry and Exit Rules: Adjust your entry and exit signals based on your analysis to improve performance.
    • Optimize Risk Management: Refine your stop-loss and profit target strategies to manage risk effectively.
    • Consider Market Conditions: Evaluate how your strategy performs in different market conditions and adjust accordingly.

Example: Backtesting an AFT USAR Signals Indicator

Let’s illustrate manual backtesting with a basic example:

  • Strategy: Long and short trades – Close and Reverse (CAR) – for each short or long, close out and enter the new trade.
  • Entry Signal Long: Green Signal buy
  • Exit Order: If the position was short, exit the short at the close of the signal bar.
  • Entry Order: Market order at the close of the signal bar.
  • Entry Signal Short: Red Signal Sell
  • Exit Order: If the position was long, exit the long at the close of the signal bar.
  • Entry Order: Market order at the close of the signal bar.

Backtesting Process using the AFT USAR:

  1. Select a stock and timeframe: E.g., Nasdaq Emini Futures (NQ) 120min chart from 2020 to 2023.
  2. Plot the USAR: Add the USAR to the chart and set the signal mode to 1.
  3. Rewind the chart: Scroll all the way to the left, then move forward 7 days or more to the next new whole week to stabilize the plots.
  4. Identify Signals Long: View each instance of a Green Signal on the chart via the cursor crosshair.
  5. NLP: SPEAK, POINT, HEAR, WRITE, UNDERSTAND the signal concept.
  6. Enter Long Trades: Record the entry date and price of the signal bar.
  7. Identify Signals Short: View each instance of a Red Signal on the chart via the cursor crosshair.
  8. NLP: SPEAK, POINT, HEAR, WRITE, UNDERSTAND the signal concept.
  9. Exit Long Trades: Record the exit date and price of the signal bar.
  10. Calculate Performance Metrics: Use the recorded trade data to calculate metrics like winning percentage, average win/loss, maximum drawdown, etc.

Tips for Effective Manual Backtesting:

  • Be Objective: Avoid biases and emotional attachments to your strategy.
  • Maintain Discipline: Strictly adhere to your defined rules throughout the process.
  • Document Everything: Keep detailed records of your trades and observations in your trading journal.
  • Start Simple: Begin with a basic strategy and gradually add complexity as you gain experience.
  • Practice Patience: Manual backtesting can be time-consuming, but the insights gained are invaluable.
  • NLP: SPEAK, POINT, HEAR, WRITE, UNDERSTAND, PROGRAM THE SUBCONSCIOUS WITH COMPETENCE!

Conclusion:

Manual backtesting provides a powerful framework for evaluating trading strategies and refining your approach to the markets. By diligently following the steps outlined in this guide, you can gain a deeper understanding of your system’s strengths and weaknesses, ultimately improving your trading performance and increasing your chances of success. While the process requires time and effort, the rewards in terms of knowledge and confidence are well worth the investment.

By integrating NLP techniques into your manual backtesting process, you create a powerful synergy that accelerates learning, enhances intuition, and improves emotional control. This holistic approach transforms backtesting from a mere analytical exercise into a transformative experience that programs your mind for trading success.

Within our Zero To Hero Program – Enter the Trading Matrix

  • Action Over Inaction: Program your trading mind through action, not endless questions, and procrastination.
  • No Need for Overanalysis: Don’t get bogged down in the “why” behind everything. Focus on what works.
  • The Holy Grail is a Myth: Forget searching for the perfect settings. Consistent profitability comes from mastering a system, not chasing magic formulas.
  • Chart Time is King: Ditch the endless books and internet theories. Real learning happens on the charts. Get screen time!
  • Embrace NLP: Sharpen your senses with NLP techniques. See, hear, draw, analyze, and document your observations.
  • Slow and Steady Wins the Race: Gradually add nuances and filters to your system. Don’t rush. Less is often more. Slow down to go faster.
  • Earn Your Optimization Stripes: Fine-tune settings only after you’ve developed a deep understanding of your system.
  • Market Mastery: Learn to read the market and identify high-probability trading opportunities. Sometimes, the best trade is no trade.
  • The Professional Mindset: Approach trading as a profession, not a gamble. Focus on mastery, not just money.
  • Success is Multifaceted: True success in trading goes beyond financial gains. It’s about discipline, skill, and continuous growth.
  • Rise Above the Average: Leave behind the losing mentality of the masses. Become an elite ATS Trader.

Why This Works:

  • Emphasis on Action: Trading is a skill that requires practice. This program encourages immediate action, which is crucial for developing competence.
  • Focus on Practicality: It cuts through the fluff and focuses on what truly matters: chart analysis, pattern recognition, and consistent execution.
  • NLP Integration: NLP techniques can significantly enhance a trader’s focus, emotional control, and learning process.
  • Long-Term Vision: It emphasizes the importance of patience, discipline, and continuous learning, which are essential for long-term success in trading.

This framework provides a solid foundation for aspiring traders to develop the skills and mindset needed to thrive in the markets.

Trader Failings and Trader Success

The main failing in trading is trader psychology. With NLP techniques, this can be reset and programmed for success over time with discipline and routine. Clear the mind—as funny as it might sound—try to become like the Bruce Lee of trading: Zen-like, with economy of mind and action! Clear the clutter and rubbish from the mind and make a straight line—the fastest, easiest way to the target. Reset and start at stage 1 and work to stage 4 onwards…with a plan, you can recite and see in your mind—your trading day and actions. Remove the human element from trading—become a stoic machine, ambivalent to lose or win. Focus on the process and being a pro! Get good at the game, and success will follow. By leveraging manual processes and routines, you can erase self-sabotage and negative trader psychology and replace it with a winning, machine-like trader mind! Our tools and methods fit with this ethos and are purpose-built for minimum drawdown, maximum profit—full control and success.

Filed Under: AFT8 Tagged With: automated futures trading, automated futures trading software, automated futures trading strategies, automated futures trading system, automated futures trading systems, Automated Trading NinjaTrader, automated trading with ninjatrader, best automated futures trading software, fully automated trading system, futures algo trading, futures algorithmic trading, futures automated trading, futures trading algorithms, ninjatrader algorithmic trading, ninjatrader automated trading, ninjatrader automated trading systems, ninjatrader trading bot, ninjatrader trading systems


🚀 Get Started 100% FREE!

Help & Information

  • ninjatrader automated trading
  • Automated Trading Systems
  • Support Center
  • Help Desk Articles
  • Trading Group & Forum
  • Videos

Recent Posts

  • AFT8 Performance Tweaks for NinjaTrader 8.1.7
  • AFT Lifetime (One-Time Purchase) License Terms Updated
  • ATS Futures Trading Group Rebooted!
  • AFT8 version 20260518 released for compatibility with NinjaTrader 8 .1.7
  • What Algos Are Included in AFT8? Complete Guide to Signals, Hybrid Trading & Automation
  • Facebook
  • RSS
  • Twitter
  • YouTube




  • NinjaTrader Automated Trading
  • automated futures trading
  • automated trading systems
  • Day Trading Futures
  • Get Started Day Trading Futures
  • VIP Trading Group Live Market Trade Along
  • Secret to Day trading futures success
  • AFT8 for NinjaTrader 8
  • Futures Algo Trading Systems
  • Market News
  • NinjaTrader Free Trading Platform
  • Legal Notices
  • AFT Legal Info
  • Terms
  • FULL RISK DISCLOSURE
  • Privacy Policy
  • Cookie Usage
  • About AlgoFuturesTrader
  • Connect to AFT
  • Blog
  • Videos
  • Support
  • Contact
  • My account
  • Sitemap
  • Affiliates

Ninja Futures Trading
Algo Futures Trader Copyright Algo Trading Systems© 2026 ·
AlgoFuturesTrader.com is owned & operated by Algo Trading Systems LLC. By using this website or products & services, you are bound by our Terms & subject to US legal jurisdiction only. Errors & omissions excluded.
AFT made in England, powered by MicroTrends NinjaTrader development

Disclaimer: Trading & investment carry a high level of risk. AlgoFuturesTrader does not make recommendations for buying or selling any financial instruments, nor do we offer trading or investment advice. We are a software company, and we only provide educational information on ways to use our sophisticated Algo Futures trading tools. It is up to our customers & readers to make their own trading & investment decisions, or consult with a registered investment advisor.

Risk Disclosure: Futures, CFDs, & forex trading carry substantial risk and are not suitable for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing one's financial security or lifestyle. Only risk capital should be used for trading, and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results. Please read the full risk disclosure here.

Hypothetical performance results have many inherent limitations, some of which are described below. No representation is made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or adhere to a particular trading program despite trading losses are material points that can adversely affect actual trading results. Numerous other factors related to the markets or the implementation of any specific trading program cannot be fully accounted for in the preparation of hypothetical performance results and can adversely affect trading results.

Testimonials appearing on this website may not be representative of other clients or customers and are not a guarantee of future performance or success.

NinjaTrader® is a registered trademark of NinjaTrader Group, LLC. No NinjaTrader company has any affiliation with the owner, developer, or provider of the products or services described herein, nor do they endorse, recommend, or approve any such product or service.

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT