Omega Quant Score Indicator MT5
Omega Quant Score Indicator combines market regime, price deviation, volatility, seasonality, trading rules, and probability models into one market score.
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Quick Verdict
Omega Quant Score Indicator is a MetaTrader 5 statistical analysis tool that combines market regime, z-score, volatility, seasonality, backtests, logistic probability, and pair analysis into one 0 to 100 Quant Score with a clear bullish, neutral or bearish bias.
Best For
✅ Discretionary traders who want objective statistical context before entering a trade.
✅ Systematic traders comparing momentum and mean reversion conditions.
✅ Traders analyzing trend, volatility, statistical extremes and market regimes.
✅ Forex and gold traders looking for quantitative market context.
✅ Traders interested in pair and spread analysis alongside single-symbol statistics.
Overall Rating
8.8/10 ⭐⭐⭐⭐⭐
What is Omega Quant Score Indicator?
Omega Quant Score is a MetaTrader 5 quantitative analysis indicator that turns multiple market statistics into a single Quant Score ranging from 0 to 100. It evaluates market regime, statistical price deviation, volatility, seasonality, historical trading rules, and probability models before presenting the results through a dashboard.
The indicator is designed as a decision-support tool rather than an automated trading system. It helps traders determine whether current conditions are more suitable for trend following, mean reversion, or waiting for clearer market conditions.
Key Features of Omega Quant Score Indicator
Quant Score From 0 to 100
The main dashboard condenses several statistical measurements into one readable score. This provides a quick overview of the current market bias without removing access to the underlying statistics.
Regression Channel and Z Score Signals
The chart displays a regression line with upper and lower 2-sigma bands. Z-score arrows appear when price reaches statistically significant extremes, while return-to-mean events are also recorded.
Hurst and Autocorrelation
The Hurst exponent identifies the broader market regime, while autocorrelation provides additional information about persistence and reversal characteristics.
Volatility Squeeze Detection
The indicator identifies volatility compression and subsequent expansion. These conditions can be displayed as events and used to generate alerts.
Hour and Weekday Seasonality
Historical performance is organized by server hour and weekday, including average return, win rate, sample size, best hour, worst hour and best weekday.
Built In Strategy Backtests
The dashboard reports the number of trades, win rate, profit factor, and expectancy in R for both mean-reversion and momentum rules. A Quant suggestion also indicates which approach currently fits the detected market conditions.
Logistic Probability Analysis
The probability model displays P next bar up, historical in-sample accuracy, and the number of samples used for the calculation.
Pair and Spread Analysis
When a second symbol is configured, the indicator calculates correlation, beta, spread z-score, and a pair signal. It also calculates the hedge ratio for the second instrument.
Quantitative Dashboard
The dashboard contains KPI cards for Market Regime, Quant Score, Z-score, Hurst, and Volatility, together with statistics, seasonality, pair trading information, and recent events. It can be dragged and scaled to fit different chart layouts.
Omega Quant Score Indicator Review
Omega Quant Score takes a broader approach than a conventional technical indicator. Instead of focusing on a single oscillator or moving average, it combines several statistical measurements into a unified market assessment.
The strongest part of the system is the combination of market regime and statistical deviation. Knowing that price is far from its regression line becomes more useful when combined with information about whether the market is trending or mean reverting.
The built-in backtests add another practical layer. Rather than assuming that momentum or mean reversion should work under all conditions, the indicator measures both approaches against the selected symbol and timeframe.
The seasonality module can also provide additional context for traders who work with intraday markets. Historical hourly and weekday statistics help identify when a particular symbol has previously shown stronger or weaker tendencies.
Pair analysis further expands the indicator beyond traditional single-symbol analysis. Correlation, beta, spread z-score, and hedge ratio can be displayed when a related second symbol is selected.
Omega Quant Score MT5 Reviews
Omega Quant Score MT5 Review
How Does Omega Quant Score Indicator Work?
Regression and Z Score Analysis
The indicator begins by fitting a linear regression to recent closing prices. It then measures the distance between the current close and the regression line using the standard deviation of residuals.
This produces the z-score, which shows how far price has moved from its statistical fair-value line. A positive z-score indicates price is above the regression line, while a negative value indicates price is below it.
Market Regime Detection
The Hurst exponent is used to classify the market into three regimes: TRENDING, MEAN REVERTING or RANDOM WALK.
This distinction is important because the same price movement can require a different trading approach depending on the underlying market regime.
Autocorrelation Analysis
Lag-1 and lag-2 autocorrelation measure whether recent returns tend to continue in the same direction or reverse.
Positive autocorrelation suggests persistence, while negative autocorrelation indicates greater tendency toward reversal.
Volatility Regime
Realized volatility is ranked against historical volatility to identify conditions such as SQUEEZE, LOW VOL, NORMAL VOL, HIGH VOL and EXTREME VOL.
The indicator can also detect volatility expansion following a squeeze and generate alerts for these events.
Seasonality Analysis
Historical candle returns are grouped by server hour and weekday. The indicator calculates average returns and win rates to identify periods that have historically shown stronger or weaker performance.
Hours with insufficient historical samples are marked as having few samples rather than displaying potentially misleading statistics.
Built In Trading Rule Backtests
Omega Quant Score tests two basic approaches directly on historical data: mean reversion and momentum.
The mean-reversion model looks for statistically stretched conditions, while the momentum model operates in trending regimes and uses breakouts of previous highs or lows.
Logistic Probability Model
A logistic regression model estimates the probability that the next bar will close higher. The dashboard displays the probability, in-sample accuracy and the number of samples used.
The model is retrained during full recalculations and periodically as new bars become available.
Quant Score Calculation
The final Quant Score starts from a neutral value of 50 and is adjusted according to market regime, logistic probability, and hourly seasonality. The resulting score is restricted to a 0 to 100 range.
A score of 60 or higher is classified as BULLISH, 40 or lower as BEARISH, and 41 to 59 as NEUTRAL.
Simple BUY and SELL Entry Strategy
For beginners, the Omega Quant Score Indicator can be used with a simple score-based confirmation approach. The main idea is to use the Quant Score as a summary of multiple market conditions, then combine the score direction with price action before entering a trade.
BUY Entry
🔹 Step 1: Check the Omega Quant Score Indicator and wait for the Quant Score to show a clearly bullish market condition.
🔹 Step 2: Confirm that price is moving upward or holding above a nearby support area while the bullish score remains supportive.
🔹 Step 3: Wait for a bullish confirmation candle to close while the Quant Score continues to support the BUY direction.
🔹 Step 4: Enter a BUY position after the bullish confirmation candle closes.
🔹 Stop Loss: Place the Stop Loss below the recent swing low or below the nearest logical support level.
🔹 Take Profit: Target the next resistance area or use a predefined risk-to-reward ratio such as 1:2.
SELL Entry
🔹 Step 1: Check the Omega Quant Score Indicator and wait for the Quant Score to show a clearly bearish market condition.
🔹 Step 2: Confirm that price is moving downward or holding below a nearby resistance area while the bearish score remains supportive.
🔹 Step 3: Wait for a bearish confirmation candle to close while the Quant Score continues to support the SELL direction.
🔹 Step 4: Enter a SELL position after the bearish confirmation candle closes.
🔹 Stop Loss: Place the Stop Loss above the recent swing high or above the nearest logical resistance level.
🔹 Take Profit: Target the next support area or use a predefined risk-to-reward ratio such as 1:2.
Simple Entry Rule for Beginners
The basic rule is:
BUY = Bullish Quant Score + Bullish Price Direction + Candle Confirmation
SELL = Bearish Quant Score + Bearish Price Direction + Candle Confirmation
Avoid entering a trade based only on a single Quant Score reading. The score summarizes multiple market factors, but price can still change direction. Waiting for the score and price action to agree provides a simple confirmation process.
This approach makes the Omega Quant Score Indicator easier for beginners to understand and apply. More advanced traders can later use the score alongside market regime, statistical deviation, volatility, seasonality, historical trading rules, probability models, and other market filters.
Omega Quant Score Indicator Review
Omega Quant Score Indicator MT5 Review
Why Omega Quant Score Indicator Stands Out
One Score From Multiple Statistics
The Quant Score summarizes several market measurements into a 0 to 100 value while keeping the individual statistics available through the dashboard.
Market Regime Before Strategy Selection
The Hurst-based regime classification helps identify whether the market is trending, mean reverting, or behaving more like a random walk.
Statistical Price Extremes
The z-score provides a standardized way to measure how far price has moved from its regression-based fair-value line.
Evidence From Built In Backtests
The indicator tests both momentum and mean-reversion rules on historical data and displays their performance statistics rather than relying only on theoretical assumptions.
Volatility Context
Squeeze, low volatility, normal volatility, high volatility, and extreme volatility states provide additional information about the current market environment.
Seasonality In One Dashboard
Hourly and weekday statistics make historical timing tendencies accessible without requiring a separate statistical analysis tool.
Pair Trading Support
Correlation, beta, spread z-score, and hedge ratio make the indicator useful for traders exploring statistical relationships between related markets.
Resource Efficient Processing
Statistics update once per closed bar and chart drawings refresh only when necessary, helping maintain smooth chart operation.
Risk Management Features
Statistical Extreme Awareness
The z-score highlights when price is statistically stretched relative to its regression line. This can help traders identify conditions where chasing an extended move may require additional caution.
ATR Based Backtest Stops
The built-in mean-reversion and momentum rules use a 1.5 times ATR stop within their historical simulations.
Volatility Based Position Awareness
Volatility regime information can help traders adjust position sizing to changing market conditions. The product description specifically recommends reducing position size or waiting during RANDOM WALK conditions.
Historical Evidence Before Strategy Selection
The built-in rule statistics show trade count, win rate, profit factor and expectancy in R. This provides additional information before selecting between momentum and mean reversion.
Pair Relationship Monitoring
For pair trading, correlation, beta, spread z-score, and hedge ratio provide additional information for structuring the relationship between two instruments.
Recommended Trading Conditions
The default configuration is described as a balanced starting point for most forex pairs and gold on M15 to H1. Different settings are recommended depending on trading style and market.
| Trading Style | Timeframe | Key Settings | Recommended Focus |
|---|---|---|---|
| Scalping | M1 to M15 | RegLen 60 to 80, ZEntry 2.0 to 2.5 | Z-score and hourly seasonality |
| Intraday | M15 to H1 | RegLen 100, ZEntry 2.0 | Regime, backtests and volatility |
| Swing | H4 to D1 | RegLen 100 to 150, ZEntry 2.0 | Regime, z-score and historical tests |
| Gold | M15 to H1 | ZEntry 2.0 to 2.5 | Regime and gold/silver spread |
| Major Forex | M15 to H1 | Default settings | Statistical context and pair analysis |
| Indices and Crypto | M15 to H1 | ZEntry 2.5, RegLen 120 to 150 | Trend and volatility conditions |
Weaknesses and Risk Warnings
Statistical Edges Can Change
Historical statistical relationships are not permanent. Market regimes, volatility, correlations, and seasonal behavior can change over time.
Backtests Have Limitations
Historical rule performance should be interpreted with an adequate number of trades. The source recommends looking for a meaningful sample, such as 30 or more trades, and a profit factor above 1.2 when evaluating a backtest.
Random Walk Conditions Require Caution
The indicator specifically identifies RANDOM WALK conditions as less suitable for directional assumptions. The recommended response is to reduce position size or wait for clearer conditions.
Logistic Model Is Historical and In Sample
The probability model reports in-sample accuracy and the number of samples used. These statistics should not be interpreted as a guarantee of future predictive accuracy.
Pair Relationships Can Change
Pair trading relies on statistical relationships between instruments. Correlation and spread behavior can change, meaning a previously useful relationship may become less reliable.
Indicator Does Not Place Trades
Omega Quant Score is a decision-support indicator rather than an automated trading EA. It does not execute trades automatically. The product description explicitly states that it is not financial advice.
Who Should Use Omega Quant Score Indicator?
Quantitative Traders
Traders who prefer statistical measurements can use the Quant Score, z-score, Hurst exponent, volatility statistics, seasonality, and probability model within one interface.
Discretionary Traders
The indicator can provide objective statistical context before a discretionary trade, particularly when deciding whether current conditions favor momentum or mean reversion.
Forex Traders
Major currency pairs are directly supported by the recommended settings, with additional pair analysis available for related instruments.
Gold Traders
XAUUSD is specifically included among the recommended markets, with XAGUSD available as a related symbol for spread analysis.
Pair Trading Users
Traders exploring statistical arbitrage can use correlation, beta, spread z-score, pair signals, and hedge ratio calculations.
Strategy Developers
Systematic traders can use the indicator’s statistical information and built-in rule testing as a research layer before developing or switching trading strategies.
Product Download Package?
The download package of the product suite includes:
Indicator: OmegaQuantScore_v1.0.ex5
Omega_Quant_Score_Inputs_Guide.pdf
Omega_Quant_Score_Product_Guide.pdf
Reviewed by David Easton
Final Verdict
Omega Quant Score Indicator brings regression analysis, z-score measurement, market regime detection, volatility analysis, seasonality, built-in momentum and mean-reversion backtests, logistic probability, and pair analysis into one MetaTrader 5 dashboard. Its main value is the ability to turn several quantitative measurements into a clear 0 to 100 Quant Score while preserving the underlying data. For traders seeking data-driven market context rather than a single traditional indicator, Omega Quant Score provides a broad statistical framework for evaluating current conditions.
🔢 Omega Quant Score MT5 – Easy-to-Read Inputs Setup Guide
Omega Quant Score is a quantitative market-analysis indicator that combines regression and z-score analysis, Hurst regime classification, autocorrelation, volatility analysis, seasonality, backtesting, momentum breakout analysis, and optional pair/spread analysis.
The settings below preserve the original MT5 input names, default values, and recommended configurations.
Omega Quant Score Indicator MT5 Settings Panel
🔢 Opening the Inputs
🔹 Open Inputs — Drag Omega Quant Score from Navigator → Indicators onto a chart, or open the chart’s Indicators List → Properties.
🔹 Inputs Tab — Open the Inputs tab to access the settings grouped in the same order as MetaTrader 5.
🔹 Allow DLL imports — Enable DLL imports in the Common tab or globally through Tools → Options → Expert Advisors → Allow DLL imports.
🔹 Load Indicator — Click OK. The indicator checks the licence, processes the available history, and displays the dashboard.
🔢 General & Licence
🔹 MaxBarsCalc — Default: 3000 — Controls the number of recent bars processed. Statistics, backtests, seasonality, and the channel use only these bars. 0 processes the full available history. Recommended: 3000 for speed; 5000+ for larger statistical samples. Avoid 0 on M1 charts with very long history.
🔹 InpLicenseKey — Default: (empty) — Stores the personal licence key from eafxstore.com. The key is checked at startup and approximately every 30 minutes. Spaces are trimmed and the key is converted to uppercase automatically. Recommended: Enter the licence key exactly as received.
If the key is empty or invalid, the indicator does not load and the reason appears in the chart corner and Experts tab.
🔢 Language
🔹 Lang — Default: LANG_EN — Selects the display language. The available values are LANG_VI and LANG_EN, but this build is English-only for dashboard text and alerts. Recommended: LANG_EN.
🔢 Regression & Z-Score
🔹 RegLen — Default: 100 — Sets the number of bars used to calculate the linear regression line, regression channel, residual sigma, z-score, and forecast extension. Recommended: 100 for a balanced setting; 50–80 for faster and noisier signals; 120–200 for smoother signals.
🔹 ZEntry — Default: 2.0 — Defines the extreme z-score level. Crossing above +ZEntry creates a SELL arrow and crossing below -ZEntry creates a BUY arrow. It also triggers the z-score alert and defines the entry level for the mean-reversion backtest. Recommended: 2.0; 2.5 for strongly trending markets; 1.5 for more signals.
🔹 ZExit — Default: 0.5 — Defines the z-score level where price is considered to have returned to the mean. It is used by the mean-reversion backtest and the Reverted to the mean event. Recommended: 0.3–0.7.
🔹 AtrLen — Default: 14 — Sets the Average True Range period. ATR is used as the risk unit R in the backtests, with the stop defined as 1.5 × ATR. Recommended: 14.
🔢 Hurst, Autocorrelation & Volatility
🔹 HurstLen — Default: 128 — Defines the number of bars used to estimate the Hurst exponent using log-return variance at lags 1, 2, 4, 8, 16. Recommended: 128; keep at 64 or higher. 256 provides a slower, more stable regime estimate.
🔹 HurstTrend — Default: 0.55 — Classifies the market as TRENDING when the Hurst value is at or above this level. Recommended: 0.55; 0.58–0.60 for fewer and stronger trend classifications.
🔹 HurstMR — Default: 0.45 — Classifies the market as MEAN REVERTING when Hurst is at or below this level. Values between HurstMR and HurstTrend are classified as RANDOM WALK. Recommended: 0.45; keep it below HurstTrend. 0.40–0.42 creates a stricter mean-reversion filter.
🔹 AcLen — Default: 100 — Sets the number of bars used to calculate lag-1 and lag-2 autocorrelation of returns. Recommended: 100; 50 reacts faster, while 200 provides greater stability.
🔹 VolLen — Default: 20 — Defines the number of bars used to calculate realized volatility from the standard deviation of log returns. Recommended: 20; 10–14 for scalping and 20–30 for swing trading.
🔹 VolLook — Default: 500 — Sets the historical window used to rank current volatility as a percentile from 0–100%, producing LOW, NORMAL, HIGH, and EXTREME VOL classifications. Recommended: 250–1000.
🔹 SqueezeRatio — Default: 0.6 — Flags a volatility squeeze when current volatility is at or below this fraction of its 100-bar average. Expansion is flagged when volatility returns to at least 1.0× the average after a squeeze. Recommended: 0.6; 0.5 for tighter squeezes and 0.7 for more frequent signals.
🔢 Seasonality & Backtest
🔹 StatBars — Default: 5000 — Defines the recent bars used for hourly and weekday seasonality and as the training window for the logistic model. Effective size is limited by MaxBarsCalc. Recommended: 5000 on M15–H1 and 2000–3000 on H4–D1.
🔹 MinSamples — Default: 30 — Sets the minimum number of observations required before hourly or weekday statistics are used for best/worst hour, best weekday, and score adjustment. Recommended: 30 minimum; 50–100 for more reliable seasonality.
🔹 MaxHold — Default: 20 — Defines the maximum number of bars a simulated trade can remain open in both backtests before being closed. Recommended: 10–15 for scalping, 20 for intraday, and 20–30 for swing trading.
🔹 MomLookback — Default: 20 — Sets the breakout window for the momentum backtest. A close above the highest high or below the lowest low of this many bars opens a trade only in a trending regime. Recommended: 20; 55 for longer-term breakouts and 10–15 for faster markets.
🔢 Pair Trading
🔹 PairSymbol — Default: (empty) — Defines the second symbol used for pair and spread analysis. An empty value disables the pair section. The symbol is automatically added to Market Watch. Recommended examples: XAUUSD-XAGUSD, EURUSD-GBPUSD, AUDUSD-NZDUSD.
🔹 PairLen — Default: 200 — Sets the number of bars used to calculate beta, correlation, and spread z-score between the two symbols. Recommended: 100–300; larger values are more stable but slower to adapt.
🔹 PairZ — Default: 2.0 — Defines the extreme spread z-score. At +PairZ, the suggested combination is SELL chart symbol / BUY pair symbol. At -PairZ, it becomes BUY chart symbol / SELL pair symbol. Recommended: 2.0; 2.5 for fewer signals.
When using pair analysis, the source recommends giving greater confidence to signals when correlation is 0.7 or higher.
🔢 Display
🔹 Theme — Default: THEME_DARK — Applies a matching colour scheme to the chart, including background, candles, grid, and bid/ask lines. Available options are NONE, DARK, MIDNIGHT, and LIGHT. Recommended: DARK or MIDNIGHT for trading, LIGHT for screenshots or printing, NONE for a custom template.
🔹 RestoreTheme — Default: true — Restores the original chart colours when the indicator is removed. Recommended: true.
🔹 ShowChannel — Default: true — Shows or hides the regression line and two-sigma bands. Disabling the display does not affect calculations or the dashboard. Recommended: true for visual analysis; false for a cleaner chart.
🔹 ShowForecast — Default: true — Displays or hides the future projection of the regression channel, including the dashed centre line, dotted bands, and price label. Recommended: true when monitoring the forecast direction.
🔹 ForecastBars — Default: 20 — Defines how many bars into the future the regression channel is projected. Recommended: 10–30; longer projections are less reliable.
🔹 LabelFont — Default: 8 — Controls the font size of the forecast price label. Recommended: 8–10.
🔢 Dashboard
🔹 ShowDash — Default: true — Shows or hides the main dashboard panel. Recommended: true, as the dashboard is the main output of the indicator.
🔹 DashRight — Default: false — Places the dashboard on the right side instead of the left. The setting is ignored after the panel is manually dragged to a custom position. Recommended: true when the left side contains other chart tools.
🔹 DashX — Default: 10 — Sets the horizontal distance of the dashboard from the selected chart edge in pixels. Dragging the header overrides this value and the position is remembered per chart.
🔹 DashY — Default: 28 — Sets the vertical distance from the top of the chart. The default leaves room for the one-click trading panel.
🔹 DashScale — Default: 1.5 — Controls the overall dashboard size. The panel automatically shrinks when it does not fit the chart, with a minimum scale of 0.55. Recommended: 1.0–1.2 on laptops, 1.5 on Full HD, and 1.8–2.0 on 2K/4K screens.
🔹 DashFontAdj — Default: 1.0 — Fine-tunes the text size inside the dashboard without changing the panel size. Recommended: 0.9 if text is cut off or 1.1–1.2 for easier reading.
🔢 Alerts
🔹 AlertPopup — Default: true — Displays a MetaTrader alert window with sound for each alert. Recommended: true when monitoring the chart directly.
🔹 AlertPush — Default: false — Sends alerts to the MetaTrader mobile application. Requires the MetaQuotes ID and enabled push notifications in MT5. Recommended: true for mobile monitoring.
🔹 AlertSoundOn — Default: false — Plays the selected sound file for each alert. Recommended: enable when a dedicated audio notification is required.
🔹 AlertSoundFile — Default: alert.wav — Defines the sound file used by the indicator. The file must exist in the MetaTrader Sounds folder. Examples include alert.wav, alert2.wav, and news.wav.
🔹 AlertZ — Default: true — Generates an alert when the z-score crosses beyond +/-ZEntry. The message identifies whether the current regime favours mean reversion or warns that the trend may continue. Recommended: true.
🔹 AlertRegime — Default: true — Alerts when the market regime changes between TRENDING, MEAN REVERTING, and RANDOM, including the Hurst value. Recommended: true when switching strategies according to market regime.
🔹 AlertSqueeze — Default: true — Alerts when a volatility squeeze begins and when volatility expands after a squeeze. Recommended: true for breakout monitoring.
🔹 AlertPair — Default: true — Alerts when the pair spread z-score reaches +/-PairZ and provides the suggested BUY/SELL combination. Recommended: true when PairSymbol is configured.
🔢 Telegram
🔹 TgEnable — Default: false — Sends every indicator alert to Telegram through a personal bot. When enabled, a TEST TG button appears in the dashboard footer. Recommended: false unless Telegram notifications are required.
🔹 TgToken — Default: (empty) — Stores the API token of the Telegram bot. Create a bot through @BotFather using /newbot, then enter the supplied token. Keep the token private.
🔹 TgChatID — Default: (empty) — Defines the Telegram destination for messages, including a personal account, group, or channel. Personal IDs can be obtained from a bot such as @userinfobot. Group IDs commonly begin with -100.
🔹 Telegram Setup — Enable DLL imports, create the bot, send at least one message to it, enter the token and Chat ID, then use TEST TG to confirm delivery.
🔹 Duplicate Protection — Enable Telegram on only one chart per symbol to avoid duplicate messages.
User Reviews
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❓ What does Omega Quant Score Indicator do?
Omega Quant Score Indicator analyzes market regime, price deviation, volatility, seasonality, trading-rule performance, and other quantitative statistics to produce a 0–100 Quant Score with a BULLISH, NEUTRAL or BEARISH bias.
❓ How does Omega Quant Score Indicator calculate the Quant Score?
Omega Quant Score Indicator starts from a neutral score of 50 and adjusts it using the market regime, logistic probability model, and current-hour seasonality, with the final score limited between 0 and 100.
❓ What does the Quant Score mean in Omega Quant Score Indicator?
In Omega Quant Score Indicator, a score of 60 or higher is labelled BULLISH, 40 or lower is BEARISH, and scores from 41 to 59 are NEUTRAL.
❓ How does Omega Quant Score Indicator identify the market regime?
Omega Quant Score Indicator uses the Hurst exponent to classify the market as TRENDING, MEAN REVERTING, or RANDOM WALK, while autocorrelation helps identify whether price movements tend to continue or reverse.
❓ How does Omega Quant Score Indicator use the z-score?
Omega Quant Score Indicator calculates the z-score from the distance between price and its linear regression line relative to residual standard deviation. Extreme z-score movements can generate statistical BUY or SELL arrows and mean-reversion events.
❓ Does Omega Quant Score Indicator include volatility analysis?
Yes. Omega Quant Score Indicator measures realized volatility and its percentile rank, identifying SQUEEZE, LOW VOL, NORMAL VOL, HIGH VOL, and EXTREME VOL conditions, including volatility expansion events.
❓ Can Omega Quant Score Indicator compare mean reversion and momentum strategies?
Yes. Omega Quant Score Indicator backtests a mean-reversion rule and a momentum rule on historical data, showing trade count, win rate, profit factor, and expectancy in R, along with a Quant suggestion for the approach that currently fits the market.
❓ Does Omega Quant Score Indicator provide statistical probability information?
Yes. Omega Quant Score Indicator uses a logistic regression model to estimate the probability that the next bar closes higher and displays the probability, in-sample accuracy, and number of samples used.
❓ Does Omega Quant Score Indicator support pair or spread analysis?
Yes. Omega Quant Score Indicator can compare the chart symbol with a second symbol and display correlation, beta, spread z-score, a BUY/SELL pair signal when the spread is extreme, and the calculated hedge ratio.
❓ What alerts and platform requirements does Omega Quant Score Indicator support?
Omega Quant Score Indicator supports MT5 popup, mobile push, sound, and Telegram alerts for z-score extremes, regime changes, volatility events, and extreme pair spreads. It requires MetaTrader 5, a valid licence key, Allow DLL imports, internet access for licensing, and sufficient price history.
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Original price was: $1,300.00.$89.00Current price is: $89.00. -
Original price was: $699.99.$89.00Current price is: $89.00. -
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