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

Archives for February 2026

AFT8 update release version 20260218 providing 5 levels of trail stop and target profit locks

February 19, 2026 by AFT

AFT8 version 20260218 introduces a more flexible trailing-stop framework for hybrid traders who want both manual control and automatic progression.
You now get:

  • 5 trail-stop styles that can be triggered sequentially in real-time using the TRG buttons.
  • Target-based “profit ratchet” logic per bracket: trail the stop to a defined profit % once price reaches a chosen % of the target.
  • Auto-ratcheting trails: start wide, then tighten into faster trail styles automatically as profit thresholds are reached.

1) Five Trailing Stop Levels (Manual, Real-Time)

AFT8 now provides 5 levels of trail stop that can be triggered sequentially during live trading.
These are activated from:

  • NinjaBuddy via the TRG buttons
  • Algo Trade Manager Controller (real-time control panel)

This is ideal for hybrid trading: you can keep a trade on a wider protective stop early,
then progressively “ratchet” to tighter trail behaviors as the move confirms.


2) New: Target-Based  Profit Lockin – Stop Ratchets (Per Bracket)

For each profit target, AFT8 can now automatically trail the stop loss for that specific bracket
Once the price reaches a defined percentage of that bracket’s target distance (MFA).

Example:

  • When the price reaches 80% of Target 1
  • AFT8 can trail Stop 1 to 50% of the profit target distance

The result: you can structure trades to reduce risk after the market proves intent—without forcing
early break-even behavior that can get tagged in noise.


3) Auto-Ratcheting Trails (Wide → Tight as Profit Builds)

AFT8 can now start with a wider, more forgiving trail / stop structure and then automatically switch to faster,
tighter trail styles as profits reach key thresholds.

Threshold triggers can be based on:

  • Profit thresholds aligned to profit targets
  • Profit % of the FibGrid (when applicable in your workspace/system)
  • As per settings in trade manager

This design supports a clean workflow: let the position breathe early, then progressively protect gains as the
trade matures—either automatically, manually (TRG), or both.


Four Ways to Update AFT8

Warning: All NinjaTrader desktop versions should be closed down prior to installing the update!

  1. AFT8 Primary Installer
    AFT8 Primary Installer is a “bootstrap installer” designed to always fetch and install the latest version of AFT8.
    It is available online or (if the ATS Desktop Apps installer was used) all files will be found in your Windows folders:
    Downloads\AlgoTradingSystems. Run the installer from within that folder or download and run it; it will update the AFT8 installation.
  2. AFT8 Secondary Installer
    The AFT8 Secondary Installer contains the actual AFT8 trading system. The installer will change the version to match the AFT8 version.
    This can be directly downloaded; look for the AFT8 Secondary Installer available online in the
    my downloads
    section.
  3. AFT8 NinjaTrader 8 Popup
    Wait for an AFT8 update notification in NinjaTrader 8 and click Install when prompted.AFT8 NinjaTrader 8 Popup
  4. AFT8 Desktop Application
    Run the AFT8 desktop application. If there are any interstitial updates, it will update the necessary files and sync them to the NinjaTrader 8 folders — only if NinjaTrader 8 is not running.

Related Links

  • AFT8 Installation
  • AFT Desktop Guidance
  • Trader Launch Pad
  • ATS Universal Account Downloads
  • Video Guides
  • AFT8 Workspaces Installers

 

Filed Under: AFT8, ninjatrader automated trading Tagged With: AFT8 Release, AFT8 update, aft8release, AFT8Update, Updates


🚀 Get Started 100% FREE!

Futures Trading Risk Appetite, Reward, and Style

February 19, 2026 by AFT

Every trader has a “risk personality.” Some prefer tight risk with frequent decisions.
Others prefer wider structure with fewer interruptions. Neither is “right” or “wrong”—
but each style has predictable tradeoffs in win rate, trade frequency, and drawdown shape.

AFT8 note: AFT8 provides generic turnkey workspaces for session breakout trading that support
scaling out and the ability to capture a larger portion of the daily range move. The default structure is
intentionally looser by design to survive normal volatility and give trades room to develop.
Traders can manage risk “in-flight” using hybrid controls, or (in Stage 5 of the Zero-to-Hero process)
save personalized settings for evaluation, performance, and going onto prop trading eval, perf or brokerage real money account live.

Two Common Trading Personalities

1) Tight Risk Trader: Small Stops / Smaller Targets

This style tries to keep losses small and get paid quickly. It can feel clean and controlled,
but it typically comes with more stop-outs and more trades.

  • Trade frequency: Higher
  • Stop-outs: More frequent
  • Win rate: Often lower
  • Reward-to-risk (R:R): Often higher on a trade-by-trade “ideal” basis
  • Emotional profile: “Death by 1000 cuts” (many small losses)

2) Structure Trader: Larger Stops / Larger Targets

This style gives the trade more breathing room around structure (swings, zones, session levels).
It often creates fewer stop-outs and fewer trades, but losses can be larger when wrong.

  • Trade frequency: Lower
  • Stop-outs: Less frequent
  • Win rate: Often higher
  • Reward-to-risk (R:R): Often lower per trade (unless targets are expanded)
  • Emotional profile: “Death by a few large blows” (rare but heavier hits)

Stop Size vs Trade Frequency (The Hidden Tradeoff)

Stop size isn’t just a risk number—it controls how often you get “interrupted” by normal market noise.
A smaller stop gets hit by ordinary volatility more often. A larger stop can survive noise,
but you must pay for that survival with either reduced position size or fewer attempts.

  • Smaller stops tend to require more attempts to capture moves, which increases
    trade frequency and decision load.
  • Larger stops tend to reduce trade frequency, but a losing trade costs more in dollars
    unless position size is reduced.

The practical takeaway: stop size, win rate, and trade frequency are linked. If you change one,
you affect the others.

Targets: Small vs Large

Smaller Targets

Smaller targets get hit more often, which can support confidence and smooth equity when the market is choppy.
The downside is you may cap the upside on strong trend days unless you keep a runner.

  • Pros: Higher hit rate, faster feedback, less time exposed
  • Cons: Can miss big moves; drawdown recovery may require multiple trades to climb back to breakeven;
    risk-reward can be diminished if the system needs frequent “re-entries.”

Larger Targets

Larger targets fit trending conditions and can create big winners, but you will naturally have more “almost hit”
outcomes and more partial wins turning into break-evens.

  • Pros: Captures trend expansion, fewer trades needed for meaningful gains, stronger expectancy when conditions align
  • Cons: Lower hit rate, more patience required, more time exposed to reversals

Technical Stops: When Stops Should Be Big or Small

The best stop size is often dictated by structure, not preference.
A technical stop is placed where your trade idea is invalidated—below/above a swing, outside a zone,
or beyond a session level. Sometimes that stop is naturally tight. Sometimes it must be wider.

When technical structure demands a larger stop, the solution is usually not to force a tighter stop.
The solution is to scale position size dynamically so the dollar risk stays consistent.

  • If the stop must be wider: reduce lots/contracts
  • If the stop can be tight: you may add size (within your max risk rules)
  • Goal: keep risk per trade consistent even when stop distance changes

Choosing Your Style (A Practical Checklist)

  • If you dislike frequent stop-outs and prefer fewer, calmer decisions:
    lean toward structure stops and lower trade frequency.
  • If you prefer quick feedback and don’t mind “many small cuts”:
    lean toward tighter stops and higher trade frequency.
  • If you want balance:
    use technical stops + dynamic position sizing, and consider
    partial exits (take something off early, keep a runner for expansion).
  • Regardless of style: focus on high probability trades where the projected move justifies the risk.
    Better selection reduces the need for constant setting changes.

Your best style is the one you can execute consistently without emotional spirals.
Consistency beats intensity.


Key takeaway: Small stops typically increase trade frequency and stop-outs.
Larger stops typically reduce trade frequency and increase win rate, but often require smaller size to keep risk controlled.
Targets follow the same logic: small targets hit more often; larger targets capture trend but demand patience.

Traders are often tempted to use a very small stop-loss to “improve” the risk-reward ratio on a trade-by-trade basis.
But if that stop is hit far more often, the average winners vs. losers can still produce negative expectancy.
There is usually a balance and a sweet spot to find. The key word is compromise.
There is no perfect system and no perfect method—be pragmatic and stable.
Choose settings that make sense and fit your preferences, then focus on the selection process:
fewer trades, better trades, with positive risk-reward projections.

Filed Under: AFT8, automated futures trading, ninjatrader automated trading Tagged With: risk control, risk management, risk reward


🚀 Get Started 100% FREE!

When should I trade? When should i sit on the side lines, which days are best?

February 18, 2026 by AFT

Traders often ask: When should I trade? When should I stand aside?
What days are “better” for trading? And how much should I trade?

In hybrid trading (Man + Machine), everything revolves around one idea:
be selective.

You don’t get consistency by trading more — you get it by trading
higher quality setups, with defined risk, inside a
repeatable routine.


Education & Community Support

Join our Discord Education & Support Community:

Discord Education / Support / Trader Charts / Live Chat
https://algotradingsystems.net/TradingGroup

Inside the community you’ll find:

  • Pre-open market discussions
  • Live trade chat + trader stats
  • Chart reviews
  • Ongoing support + education
  • AI-assisted commentary (VIP Trading Group)

Zero to Hero Program (Stage 1–5)

Stage 1–4 Workspaces

Structured turnkey workspaces designed to build discipline and foundational skill.
In Stage 1–4, the goal is learning the framework — not “optimizing.”

  • Trading patterns & approaches
  • VIP playbook concepts (introduced progressively)
  • Hybrid trade combinations (Man + Machine alignment)
  • Day trading best practices
  • AI Help Bot assistance

Stage 5 – VIP Workspaces

Stage 5 adds a fuller market context view, including:

  • Market structure
  • Support & resistance levels
  • Gap Bias analysis
  • Higher timeframe alignment
  • Cross-instrument correlations (e.g., ES + NQ, RTY/EMD + ES)

Best practice: Focus on one primary instrument, and use others mainly as
confirmation (not distraction).


When to Trade: Practical Filters

A good trading day is usually a day where the market “behaves” — not because it is easy,
but because it is readable.

  • Clean structure – clear support/resistance, session highs/lows,
    or Fib Grid positioning that makes sense.
  • Multi-timeframe agreement – the higher timeframe bias supports your direction.
  • Correlation confirmation – related instruments are aligned (less mixed messaging).
  • Pattern maturity – ABC / 1-2-3, WSFG/DSFG combo, breakout-retest,
    or “10 AM Jiggle” style confirmation.
  • AWT confirmation – alignment validated; fewer conflicts.
  • Defined risk – a logical stop exists beyond structure (not “hope-based”).
  • Trade plan compliance – you are still inside your daily trade/risk limits.
  • Let the open settle – often waiting 20–30 minutes (or a few signals) improves clarity.

High probability trading is stacking confirmations — not predicting.


Position Sizing: How Much Should You Trade?

Position sizing should be driven by: account size, max risk per trade,
stop distance, and setup quality — never emotion.

Turnkey Default Structure (Why 3 Lots Exists)

Many turnkey workspaces use 3 lots (3 brackets / legs) as a framework because it supports:

  • Scaling out (partial exits)
  • Locking in structured profits
  • Reducing risk as the trade develops
  • More flexibility in trade management

It’s a structure — not a rule. You can trade fewer lots if your risk plan requires it.


Risk First, Lots Second

Think in this order:
1) stop distance → 2) $ risk per contract → 3) lots.

  • 1 Lot – conservative risk, smaller accounts, or “uncertain read” conditions
  • 2 Lots – controlled exposure when alignment improves
  • 3 Lots – when account size + stop size + rules all allow it

AFT8 can also use dynamic lot sizing, and you can choose “half clip” or “full clip”
depending on your trade plan. The goal is always the same:
keep total risk controlled.


Entry Efficiency & Stop Size (They Are Connected)

Position size must adapt to how far the stop is:

  • Efficient entry → smaller stop → lower risk per lot
  • Lower risk per lot → size can increase responsibly
  • Wide stop required by structure → reduce size (do not “oversize”)

If structure forces a large stop, your job is simple:
reduce exposure or skip the trade.


Size According to Probability

Not every setup deserves maximum exposure.

  • 1 Lot – “toe in the water” while the market is still forming
  • 2 Lots – solid setup with alignment + confirmation
  • 3 Lots – high probability setup with multi-factor confirmation

Core Sizing Principle

Risk determines size.
Structure determines stop.
Probability determines exposure.

Professional trading is controlled exposure — not maximum exposure.


When NOT to Trade

  • Chop – overlapping candles, no directional commitment
  • Mixed signals – correlations conflict, timeframes disagree
  • Compression – repeated false breaks inside congestion
  • Emotion – revenge, boredom, forcing trades
  • Unclear stop – no logical risk point beyond structure
  • Daily limits hit – respect trade count and loss limits

Sometimes the highest probability trade is no trade.


What Days Should You Avoid?

There are no perfect rules — the day reveals itself — but these contexts often reduce edge:

1) The Day After a Huge Range / Price Shock

Big expansion days often lead to a “digesting” session afterward: overlap, chop,
and traps. That doesn’t mean never trade — it means demand cleaner confirmation.

2) Heavy News or Major Earnings Context

  • CPI, NFP, FOMC
  • Rate decisions
  • Clusters of high-impact releases

Pre-news price action can be technically unreliable and full of whipsaws.

3) Holiday / Low Participation Sessions

  • Reduced volume
  • Compressed range
  • Algorithmic drift
  • Commonly: Thu/Fri heading into long weekends

4) Historically Low Range “Sleepy” Sessions

Some sessions simply don’t follow through well. Fridays can be excellent or flat.
Mondays can “not get out of bed.” Week/month positioning and upcoming news
often influence this.

5) Personal Non-Optimal Conditions

  • Fatigue or lack of focus
  • Trying to recover losses
  • Emotional instability (even subtle)

Daily Bias & Limited Attempts

Establish a Bias (Then Respect It)

  • Higher timeframe structure
  • Prior day positioning
  • Gap Bias
  • Correlation alignment
  • MSFG / WSFG / DSFG context

Stay mostly aligned to one direction until bias is clearly invalidated.

Limit Attempts (Avoid the “Flip-Flop” Trap)

  • Define max directional attempts
  • Stop once the bias fails
  • Avoid repeated long → short → long behavior in chop

Protect Risk-to-Reward

  • Stop beyond structure
  • Targets realistic relative to session range
  • Maintain favorable R:R

Beware Seasaws: Long → stopped → short → stopped → long again – Winner…?
– Waiting for the market to develop and trend uniforml in a direction –
– Taking a bias with one direction…
– Do not take all seasaw trades!


Trading Diary: The Learning Accelerator

  • Write your entry reason (what confirmations existed)
  • Capture screenshots
  • Log stop distance and $ risk
  • Tag winner/loser + type of day
  • Note discipline and execution quality

Your diary will reveal your real edge — and the conditions you should avoid.


AWT Trade Confirmation Suite

  • Filters mixed signals
  • Confirms alignment
  • Reduces emotional decisions
  • Improves timing precision
  • Helps you trade less and stay in trades longer

Final Principle

Hybrid trading is not about activity — it’s about selectivity.

Consistency > Activity
Structure > Emotion
Probability > Prediction

Filed Under: AFT8 Tagged With: Hybrid Automated Trading Systems


🚀 Get Started 100% FREE!

AFT8 Trading Progression: Stage 1–4 Zero-to-Hero Framework & Stage 5 Go-Live Optimization

February 18, 2026 by AFT

AFT8 Trading Progression: Stage 1–4 Zero-to-Hero Framework & Stage 5 Go-Live Customization




Learn the structured AFT8 Zero-to-Hero progression from Stage 1 through Stage 5.
Master the framework first, then personalize risk and execution for evaluation and live trading.

All traders should begin with Stage 1 through Stage 4 in
order to properly learn the system’s features in both breadth and depth.

During these stages, nothing should be changed. We do not
tempt or distract traders with alternative settings optimized to someone
else’s preferences. Stage 1–4 settings are intentionally
vanilla and generic — a clean foundation that can later
serve as a base for personal customization.

There is no “one size fits all.” Personalized optimization belongs in
Stage 5 and beyond. That process can become an endless pursuit
unless a workable compromise is accepted. In trading, progress comes faster
through structured discipline than constant tweaking.

Stages 1–4: Learn the Framework (Do Not Change Settings)

The goal in Stages 1–4 is to build understanding, structure, and consistency.

  • Learn how the system works end-to-end
  • Understand signal concepts
  • Understand trade manager concepts
  • Learn trade controls and interactive / hybrid entry concepts
  • Understand what each control does — and why it exists
  • Manage trades using the provided structure
  • Build consistency without modifying core settings

We do not want to muddy the water by suggesting configuration changes at this stage.
The turnkey workspaces are intentionally designed to teach the framework exactly as it is.

The structure is guided by over 20 years of research, development, and statistical
validation of these methods. As the framework evolves, refinements may occur —
but the learning path remains structured.

Stage 1–4 = Skill Development, Not Optimization.

Stage 5: Evaluation / Performance / Live (Customization Becomes Appropriate)

Stage 5 is where traders may begin personalizing execution
and risk parameters — particularly during prop firm evaluations or live performance accounts.

At this stage, traders should:

  • Choose a defined trade plan and instrument
  • Select a VIP Workspace
  • Use baseline defaults and manage trades interactively using the control sets
  • Adjust settings only when necessary

    • Adjust targets and stops to suit personal risk tolerance
    • Modify breakeven, trail triggers, and profit lock-in logic
    • Save adjustments as a new setting and new workspace

Stage 5 is not random experimentation — it is structured refinement.

How to Personalize Targets & Stops (Stage 5 Only)

Targets and stops should be adjusted using the Fib Grid structure.
This ensures changes are based on statistically normalized market structure
rather than arbitrary tick or candle assumptions.

Examples of structured adjustments:

  • Move targets nearer or further using Grid percentages
  • Use a wider or tighter stop based on Grid normalization
  • Example: Change stop from 20% of the Grid to
    10%, and adjust T1 accordingly
    (e.g., 10% instead of 20%)

This allows a workspace to be configured tighter or looser based on psychology,
account size, and risk profile — while remaining structurally consistent.

Static Tick Stops or Adaptive Grid Stops?

When modifying, we use adaptive Grid-based stop and target structures that
normalize to market range. For example: a 10% stop instead of 20%, or
a 5–10% target — rather than arbitrary candle- or tick-based levels.

The AFT approach avoids static tick or candle stops because markets expand
and contract. Grid-based normalization adapts dynamically to volatility.

Traders may elect their own path and experiment on SIM or replay,
but structured adaptive logic remains the core philosophy.

Learn more here:

AFT8 – Setting Stops and Targets

Additional Trade Management Controls (Stage 5 Only)

  • Adjust breakeven triggers
  • Modify trailing stop behavior
  • Accelerate or delay risk lock-in logic
  • Configure advanced features such as Target Lock-In % and 5-stage trailing stops

Progression Summary

Stages 1–4 = Learn the framework exactly as provided.
Stage 5 = Tailor risk and execution within the framework —
or continue using the VIP workspace as designed.

Mastery comes from progression — not from skipping steps.

© 2026 AlgoTradingSystems — Hybrid Automated Futures Trading Framework

Filed Under: AFT8, automated trading ninjatrader, ninjatrader automated trading Tagged With: live trading micro futures, zero to hero


🚀 Get Started 100% FREE!

AFT8 Risk Control Practical Ways to Reduce Risk

February 18, 2026 by AFT

Managing Risk to Reduce Exposure and risk of ruin

Risk can be controlled in multiple ways inside the AFT8 framework. One or more of the approaches below can
significantly reduce and manage exposure, especially during evaluation or performance phases.

1) Increase the Account Size (Capital Allocation)

A larger account (for example, 100K vs 50K in prop environments) automatically reduces
percentage-based drawdown pressure and allows more flexibility in stop placement and trade management.

2) Use Fewer Lots Per Trade (Lower % Risk Per Trade)

Reducing position size is the most direct way to control risk. If a default turnkey workspace uses
3 lots, you may choose to use 1–2 lots based on your account size and risk tolerance.

3) Reduce Risk After Entry (R50 / E50 / I50)

Once the Trade Manager has placed stops:

  • Click R50% on the Algo Trade Manager Controller to reduce stop size by 50%.
  • Or click E50 / I50 on the NinjaBuddy UI to reduce risk by 50%.

This immediately compresses exposure without needing to manually adjust the stop.

4) Wait for Efficient Entry Prices

Avoid chasing signals. Instead:

  • Wait for pullbacks.
  • Enter at technically efficient prices.
  • Avoid entries that are extended far from structure.

Better price = smaller stop required = lower risk.

5) Use Smaller Bars for Entry Triggers

Smaller timeframe bars often allow the entry trigger to occur closer to the actual market price.
This reduces the distance between entry and stop placement.

6) Use Order Types at Technical Levels

Instead of market entries:

  • Use an Algo Entry limit order price when appropriate.
  • Use manual limit orders at technical levels.
  • Allow pullbacks to enter you.
  • Reduce slippage risk.
  • Use stop or OCO entry types at levels for efficient entry.

7) Reduce Stop Size in Settings

Inside AFT8 Trade Manager settings, you can reduce stop size.

Example (Session Breakout):

  • Default stop: 20% grid (wider structure stop)
  • Reduced stop: 10% grid (tighter stop)

Smaller grid percentage = smaller initial risk.

8) Use Dynamic Lots

Enable the Dynamic Lots feature to allocate a defined percentage of the account as maximum exposure.
This helps prevent over-sizing relative to account equity.

9) Use Partial Exit (PX1)

Use PX1 to close one lot without moving the stop.

Click PX on the Algo Trade Manager Controller or NinjaBuddy to reduce open exposure without changing
the stop structure.

  • Reduces open exposure
  • Lowers emotional pressure
  • Allows the remaining position to run

10) Monitor Liquidity and Slippage

Always consider:

  • Market liquidity
  • Time of day
  • News volatility

Poor liquidity increases slippage and can widen effective risk beyond the intended stop.

Final Notes

Risk management is not a single setting — it is a layered structure.

The most professional approach is to:

  • Control size
  • Control stop structure
  • Control entry efficiency
  • Control execution

Multiple small improvements combined create a meaningful reduction in total risk.

Filed Under: AFT8, automated trading ninjatrader, fully automated trading system, ninjatrader automated trading Tagged With: risk control, risk management


🚀 Get Started 100% FREE!

Help & Information

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

Recent Posts

  • A Guide to Trading a $50K Futures Prop-Firm Account
  • The Best Path to Getting Funded Trading Futures
  • AFT8 Performance Tweaks for NinjaTrader 8.1.7
  • AFT Lifetime (One-Time Purchase) License Terms Updated
  • ATS Futures Trading Group Rebooted!
  • 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