What does QuantZone do?

QuantZone is not a traditional entry-signal indicator. Instead, it helps you step back and evaluate what truly matters: "Is this trade statistically worth taking?" and "Does the current price zone actually offer an edge?"

Rather than relying on setups that simply "look strong," QuantZone shifts your decision-making toward measurable criteria. Every trade is evaluated through the relationship between risk, reward, and probability. This means you are no longer thinking "This setup looks good," but instead: "If I risk X, what is the probability of reaching target Y?"

QuantZone converts raw price movement into a structured statistical framework. Each swing is treated as a repeatable data sample, and over time these samples form a distribution of how price typically behaves. For every sample, 2 key metrics are measured:

• MAE (Maximum Adverse Excursion) – how far price moves against you
• MFE (Maximum Favorable Excursion) – how far price moves in your favor

From these measurements, QuantZone applies the Joint Probability Model to calculate the probability of a trade reaching a defined target under a given risk constraint: Pwin = P( F ≥ MFE ∩ A ≤ MAE ). In practice, this reframes trade evaluation into a simple question: "If risk is capped at X, what is the probability of achieving target Y?"

How can QuantZone improve your trading performance?

• Evaluate trades through the relationship between risk, reward, and probability, instead of relying on setups that simply "look strong"
• Know whether the current price zone actually offers a statistical edge, not just how the setup looks
• Get a stop loss and target grounded in statistical data, instead of fixed rules or assumptions
• See potential trade locations only when price aligns with statistically favorable conditions
• Identify key price levels where the market is likely to react, derived from historical Probability Zones
• Balance typical expectations with real-time market dynamics by comparing Gaussian and Percentile modes

Key features

1. Statistical framework: MAE, MFE & the Joint Probability Model

• Converts raw price movement into a structured statistical framework, treating each swing as a repeatable data sample
• Measures MAE (how far price moves against you) and MFE (how far price moves in your favor) for every sample
• Applies the Joint Probability Model to calculate the probability of reaching a target under a given risk constraint

2. Probability Zones

• Highlights price areas where historical data indicates a higher likelihood of favorable outcomes
• These zones are derived from statistical analysis of how price has behaved under similar conditions
• When price enters a Probability Zone, it signals that the current location aligns with conditions that have historically offered a more favorable risk–reward profile

3. Statistical Stop Loss & Target Levels

• Provides stop loss and target levels based on actual price behavior, not fixed rules or assumptions
• Uses MAE to estimate how far price typically moves against a position, helping define a realistic stop loss
• Uses MFE to measure how far price tends to move when the setup works, guiding target placement

4. Entry Signals and Key Levels

• Clear markers appear when price enters an effective Probability Zone, highlighting potential trade locations in real time
• These entry markers are contextual triggers, not standalone signals – they appear only when price aligns with statistically favorable conditions
• Key price levels are identified where the market is likely to react, derived from historical Probability Zones, often acting as potential support or resistance

5. Structural and historical references

• Trend Swing Points: mark key swings within the trend, helping define range boundaries and assess overall structure
• Historical Climax Zones: highlight zones formed from prior Probability Zones, indicating areas of past liquidity and likely market reactions
• Past MAE References: display historical adverse movement, offering insight into typical drawdown and the consistency of prior setups

6. Control Panel

• A compact panel gives quick access to key data and tools directly on the chart
• Probability Table: displays the probability of reaching specific targets under defined risk levels, along with the associated risk–reward profile
• Distribution Chart: visualizes how price movements are distributed, helping identify common ranges, extreme zones, and overall data structure

7. Probability Modes: Gaussian & Percentile

• Gaussian Mode: applies smoothing to reduce the impact of extreme moves, helping establish a stable baseline for stop loss and target placement
• Percentile Mode: uses raw, unsmoothed data to reflect current market behavior, helping adapt quickly to changing conditions and volatility

8. Flexible observation samples

• Lets you customize how market movements are sampled and evaluated
• By default, moving averages are used to define trend and structure, but additional indicators can be incorporated as inputs to better align the analysis with your trading approach

9. Dedicated NinjaScript Signals

• Signal_State: 1 = low in zone, 2 = low above zone, -2 = low below zone, 3 = high in zone, 4 = high above zone, -4 = high below zone, 0 = no signal
• Signal_Zone: 1 = bullish zone, -1 = bearish zone, 0 = no zone

Key benefits

• Track when price reaches a meaningful location and how it's likely to behave from there
• Evaluate trades without leaving your chart, with probability data and distribution structure available directly from the Control Panel
• Align the statistical analysis with your own trading approach by incorporating additional indicators as inputs
• Base every stop loss and target on actual historical price behavior, instead of fixed rules or assumptions