The NinjaTrader Gann High Low Indicator is a technical analysis tool designed to track short-term price direction based on the evaluation of extreme price levels.
Built on the classic principles of Gann methodology, the indicator identifies key price zones using historical highs and lows. Its core concept involves calculating a moving average based on these extremes over a defined period, allowing for the identification of trends and potential points of momentum shift.
The indicator plots directional lines on the chart that reflect prevailing market sentiment. It is used to detect local reversals, assist in identifying potential areas of interest on the chart, and highlight market phases aligned with the dominant trend.. The main objective is to provide a visual framework for assessing current market phases with minimal delay.
Unlike standard versions, the NinjaTrader Gann High-Low Indicator offers a set of optional confluence filters that can be activated individually or in combination. This flexibility enables deeper market analysis and adaptation to various analytical methodologies.
These customizable filters help minimize market noise in conditions of low volatility or liquidity, increasing the methodological rigor of event detection. The indicator performs effectively in both trending markets and during corrective phases, where confirmation through additional analytical layers is particularly important.
Designed to operate under diverse market conditions—from strong directional movement to sideways consolidation. The combination of core logic and flexible filters supports a systematic approach to analyzing market structure using multiple confirming factors.
The core element of the Gann High Low Indicator is its indicator line, which functions as a moving average calculated based on the highs or lows over a specified period. This line is displayed on the price chart and serves as a reference for identifying the current market trend.
The primary function of the line is trend identification: when the price is above the line, it indicates an upward phase; when it is below, it identifies a downward phase. In addition to the standard moving average used in the classic version of the Gann High-Low Indicator, this version supports alternative calculation methods, including EMA, HMA, KAMA, T3, and WMA, allowing for greater adaptability to different analytical approaches and market conditions.
The indicator can be used either as a standalone tool or in combination with additional event filters. All filters can be enabled individually or simultaneously. The following types of filtering are supported:
Used to validate structural events on a lower timeframe in the context of the trend direction on a higher timeframe.
Example: If the Gann High-Low line on the H4 chart identifies an upward phase, the analysis on the H1 chart focuses on aligning bullish structural developments with the higher-interval bias.
Applied to smooth price data and highlight the prevailing direction of movement.
Example: Bullish market phases are identified when the price is above the 200-period moving average, supporting the observation of an uptrend.
Assesses the current level of market volatility and is used to validate events during periods of low activity.
Example: When ATR is low, volatility compression may indicate a consolidation phase, identifying a requirement for enhanced methodological observation.
Used to evaluate overbought or oversold market conditions.
Example: If the RSI exceeds 70, overbought conditions may be identified, indicating a phase of potential momentum exhaustion or market rebalancing.
Used to confirm trend strength and assess current momentum.
Example: The Gann High Low line is used in conjunction with the MACD histogram to identify moments of synchronized market momentum.
Each filter includes a separate configuration block for fine-tuning. Filters can be applied in two modes: either by checking conditions at the exact moment a structural event occurs, or by using sequential validation — where a marker is confirmed only after all filter conditions are fully met. This approach provides flexibility in adapting the indicator’s behavior to different analytical methodologies and market conditions — from high-volatility trends to consolidation phases with limited liquidity.
The indicator has the following parameters:
Alerts – Configure various types of alerts.
Use Delayed Confirmation – enables or disables the validation delay for confluence filters. When active, the indicator waits for all filter conditions to be met before confirming the visual marker.
Gann Moving Averages Type – specifies the type of moving average used to construct the Gann High Low line. In addition to the classic simple moving average (SMA), other supported options include EMA, HMA, KAMA, T3, and WMA.
Gann High / Low Period – defines the periods for Gann High and Low calculation
Use Higher Timeframe — activates the Higher Timeframe Filter, which evaluates the trend phase on a selected higher interval to confirm confluence for the current chart. The visual marker appears only when the trend phases on both intervals align. Options: Custom selection of the higher timeframe (e.g., H4 for analysis on H1).
Use Moving Averages — enables the Moving Averages Filter. The user can choose from various moving average types — SMA, EMA, HMA, KAMA, T3, WMA — and set the period for trend confirmation.
Use ATR — activates the ATR Filter to assess market volatility. Includes the ATR period and a threshold level. Visual markers are plotted only if ATR exceeds the defined threshold.
Use RSI — enables the RSI (Relative Strength Index) Filter. Parameters include the RSI calculation period and the overbought/oversold thresholds to identify momentum alignment.
Use MACD — enables the MACD filter with customizable periods. Options include the MACD line, the signal line, or both for validating confluence with the Gann High-Low direction.
We can customize this indicator to your needs — adding functions, modifying logic, or integrating it with other tools for your workflow.
We also convert indicators into Automated Trading Strategies with advanced functions (trailing stops, risk management, filters) tailored to your trading style strictly according to your specifications.
Request a free consultation to discuss the technical scope and timeline of your project.
We are committed to the ongoing development and refinement of our indicators. If you’ve spotted a bug, feel that something essential is missing, or have ideas that could make the indicator even better, just send us a message. Your feedback helps us improve and deliver tools that truly meet traders’ needs.
The indicator provides a set of exposed analytical plot outputs designed for structured integration with third-party strategy builders and automation tools such as BloodHound and BlackBird (SharkIndicators), as well as other algorithmic trading environments.
| Analytical Plot Name | Output Values | Description |
| HiLo | Value | |
| Long | > 0 | Bullish directional detection condition. |
| Short | > 0 | Bearish directional detection condition. |
Plot output names and descriptions are technical identifiers intended solely for software integration purposes and do not constitute trading advice, signals, or recommendations.
Nordman Algorithms is a trade name of Nordman Algorithms OÜ (Reg. No. 14435535), registered in Tallinn, Estonia.
Software Nature & User Responsibility — Nordman Algorithms provides algorithmic software tools for technical analysis. Nordman Algorithms is not a financial advisor and is not liable for any losses. All trades conducted based on the software’s output are executed at the user’s sole discretion and risk.
Visual Markers & Signal Disclosure — This software may display visual markers (such as arrows, dots, or alerts) when predefined mathematical conditions are met. These markers are provided for educational and analytical purposes only, must not be interpreted as financial guidance, and do not constitute a recommendation to buy, sell, or hold any financial instrument. Users must independently validate all visual cues within their own trading methodology.
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