VB Sigma Smart Momentum Indicator
Dec 1, 2025

The VB Sigma Smart Momentum Indicator tool provides a comprehensive decision-support framework that integrates market participation, trend integrity, and liquidity conditions into a single visual environment. By combining MCDX flow mapping, Donchian regime analysis, and institutional flow modeling, it allows traders to identify who is in control of the market and whether current momentum is likely to be durable.
Usage
The indicator is designed to be used as a multi-layered validation system for momentum and trend-following strategies.
Banker Flow Candles
The primary signal layer is the Banker Flow modeling, which categorizes market sentiment based on institutional activity:
- Yellow Candle (Entry Bias): Suggests institutional initiation as trend metrics cross accumulation thresholds.
- Green Candle (Accumulation): Indicates strong trend integrity where pullbacks are often considered buying opportunities.
- White Candle (Cooling): Represents weakening momentum; a signal to tighten stop-losses.
- Red Candle (Exit): Momentum regime is invalidated, suggesting an avoidance of long risk.
- Blue Candle (Rebound): Indicates a temporary uptick within a broader weak structure.
Flow Chips (MCDX)
Three vertical columns represent different market participants:
- Retailer Flow (Green): High values indicate retail conviction, often seen at the end of cycles.
- Trader Zone Flow (Yellow): Spikes indicate increased volatility and tactical positioning.
- Institutional Flow (Red/Pink): Represents the core momentum. Rising values indicate institutional price discovery.
Donchian Regime Columns
The vertical stack illustrates the trend regime in a compressed format. Bright blue/cyan indicates upward expansion, while dark purple/red indicates downward structural breaks.
Chop Zone Strip
Located at the base, this strip uses EMA angles to filter out noise. Green/Blue indicates a trending phase, while Yellow/Orange/Red indicates high noise and a probability of false signals.
Details
The VB Sigma Smart Momentum Indicator integrates four distinct analytical modules:
- MCDX Flow Mapping: Analyzes price distribution to estimate the percentage of retail vs. institutional participation.
- Donchian Regime Layers: Uses multi-period Donchian Channels to detect structural breakouts and breakdowns.
- Banker Flow Modeling: A derivative calculation involving smoothed price ranges and volume-weighted metrics to track high-capacity market participants.
- Chop Zone Trend Classification: Utilizes the rate of change of EMA angles to distinguish between trending and ranging (choppy) market conditions.
Settings
Display Options
- Show Retailer/Trader/Institution Flow: Toggles the visibility of the MCDX participation layers.
- Show Donchian Bands: Enables the vertical trend regime columns.
- Show Banker Signals: Options to toggle specific Banker Flow candle types (Entry, Increase, Decrease, etc.).
MCDX Settings
- MCDX Source: The price source used for flow calculations.
- MCDX Length: Allows for Auto, 50-day, 100-day, or manual lookback period settings.
Banker Settings
- Fund Range Length: The lookback period for the primary fund flow calculation.
- Bull/Bear EMA Length: The smoothing period for the baseline signal.
- Entry Max BullBear Level: Threshold used to define the "Yellow" entry bias state.
Display Settings
- Show Chop Zone: Toggles the trend/noise filter strip.
- Chop Zone Lookback: The period used to determine the range for angle calculations.
FAQ
How do I interpret the "Flow Chips"?
The healthiest configuration for sustainable upside is when Institutional Flow is higher than Trader Flow, which is in turn higher than Retail Flow.
What is the best environment for this indicator?
It is most effective for momentum trading and swing position building. It is highly recommended to avoid entering breakout setups when the Chop Zone is Red, Orange, or Yellow.
How can I access this tool?
You can get access on the LuxAlgo Library for charting platforms like TradingView, MetaTrader (MT4/MT5), and NinjaTrader for free.
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Hypothetical or Simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, including, but not limited to, lack of liquidity. Simulated trading programs in general are designed with the benefit of hindsight, and are based on historical information. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.
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