QuantZone – Is this trade statistically worth taking?

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