Bias Detector Terminal [The Quant Science]Bias Detector Terminal is a quantitative analysis tool designed to identify day-of-week statistical bias and seasonality. By calculating the historical frequency of bullish closes for each trading day, the terminal provides a clear picture of directional market probabilities.
🔷 What it does
The indicator analyzes daily price history to calculate:
Bullish Ratio: The number of bullish sessions (close > open) relative to total historical bars for each day of the week (Monday to Sunday).
Session Win Rate: The exact percentage of positive closes for every trading day.
Smart Bias Signals: Categorizes each session based on statistical thresholds:
🟢 : Win Rate >= 55%
🔴 : Win Rate <= 45%
⚪ : Win Rate between 45% and 55%
Visual Flow Profile: An inline progress bar for instant visual assessment of buy/sell pressure.
Composite Metrics: A summary row showing the cumulative baseline for all historical data analyzed.
🔷 How to use it
Chart Application: Add the script to the chart of your chosen asset (Stocks, Crypto, Forex, Indices).
Timeframe Setting: Make sure the chart is set to the Daily (1D/Daily) timeframe. The script includes a built-in check that will trigger an error if applied to lower timeframes.
🔷 Interface Customization
Through the indicator settings you can:
Change the console position on screen (Top Right, Top Left, Bottom Right, Bottom Left, Center).
Modify the terminal font size (Small, Normal, Large).
🔷 Use Cases
Weekly Operational Planning: Identify in advance which days of the week historically favor buyers or sellers from a statistical standpoint.
Confluence Filter: Avoid opening short positions on days with a historically high bullish win rate (and vice versa), raising the overall quality of your trade setups.
Seasonality Analysis: Determine if a specific asset exhibits recurring statistical patterns (e.g., Turnaround Tuesday or Friday weakness).
🔷 Target Audience
Quant & Systematic Traders: For those who base their decisions on statistical data rather than gut feeling.
Day Traders & Swing Traders: Useful for aligning intraday operations with the statistical trend of the current day.
Market Analysts: For those who want to integrate high-level visual reporting and quantitative metrics into their TradingView analysis.
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Volume Acceptance Zones [BigBeluga]Volume Acceptance Zones is a market structure tool designed to identify areas of price acceptance and statistically stretched extremes. By modeling market activity as a continuous distribution, the indicator highlights where price is actively accepted versus where it behaves as a statistical outlier.
The goal is not prediction, but context — separating balanced price behavior from structurally stretched conditions.
🔵 CONCEPTS
The indicator calculates a Volume-Weighted Balance Price , representing the center of gravity for participation over a selected range.
Price dispersion around this balance point is measured using volume-weighted standard deviation .
The area within ±1 standard deviation forms the Acceptance Zone , where the majority of activity is concentrated.
Prices beyond this zone are treated as outliers , where participation thins and market reactions become more likely.
These zones do NOT represent guaranteed probabilities — they describe participation density and behavioral extremes.
🔵 STANDARD DEVIATION, BELL CURVE & OUTLIERS
At the core of this indicator lies the concept of standard deviation , which describes how price activity clusters around a central value.
When activity is observed over time, it tends to form a distribution where:
Most activity concentrates near a central balance level.
Fewer observations occur as price moves further away from that balance.
This behavior can be visualized conceptually as a bell-shaped distribution — a practical way to describe market participation density.
Prices that move beyond the Acceptance Zone deviate meaningfully from the balance of participation.
These areas are treated as outliers , where price is statistically stretched relative to recent market behavior.
Outliers do not imply immediate reversals — they signal that price is operating in a low-acceptance environment.
Market responses in these zones often include rejection, consolidation, or strong continuation if acceptance builds.
🔵 NEW: INTEGRATED FREQUENCY PROFILE
While the zones are calculated using volume-weighted math, the visual profile has been updated to a Frequency-Based Distribution . This transition allows you to see "Time at Price" rather than just raw volume.
Frequency Distribution: The profile counts the number of bars (occurrences) spent at each price bin. This highlights levels of high interest where the market finds it easy to trade, effectively acting as a Time-Price Opportunity (TPO) proxy.
Time-Based Sentiment: Each bin is split into Bull/Bear frequency. This shows which side was in control during the time spent at that specific level, identifying where buyers or sellers were more persistent.
Filtering Noise: By using frequency instead of raw volume, the profile avoids being skewed by single high-volume spikes, focusing instead on where the market established a sustained presence.
🔵 FEATURES
Acceptance Zone (±1σ)
Highlights the primary balance area where price is most actively accepted and rotational behavior is common.
Extreme Zones (±2σ)
Marks statistically stretched prices where acceptance weakens and reactions or trend continuation may occur.
Volume-Weighted Balance Line
Acts as a structural fair-value reference similar to an anchored VWAP.
Outlier Detection
Price closing beyond the acceptance zone is flagged as an outlier, helping identify exhaustion or breakout conditions.
Distribution Labels
Displays how price activity is distributed between acceptance and extreme zones, reinforcing the concept visually.
Flexible Anchoring
Calculations can be based on a fixed lookback or the visible chart range.
🔵 HOW TO USE
Treat the Acceptance Zone as a balance area where price is fairly valued and mean-reversion is common.
Observe how price behaves in Extreme Zones — rejection may signal reversion, while sustained acceptance may indicate trend continuation.
Frequency Nodes: Use the Frequency Profile to identify where the market is "stalling." High frequency nodes often act as magnets for price, while low frequency gaps (low time spent) often lead to fast price movement.
Use outlier signals in combination with trend bias, liquidity levels, or momentum tools.
🔵 CONCLUSION
Volume Acceptance Zones reframes market analysis around participation density. By distinguishing accepted price behavior from statistical outliers and providing a frequency-based view of time-at-price, the indicator helps traders understand when the market is balanced—and when it is structurally stretched. Indicador
Cycle Spectrogram [LuxAlgo]The Cycle Spectrogram indicator is a spectral analysis tool that visualizes the power of various price cycles to identify dominant periodicities and market rhythms.
🔶 USAGE
The indicator provides a technical visualization of spectral density over time by decomposing price action into multiple cycle bands. This allows traders to identify whether the market is currently influenced by short-term noise or long-term structural cycles.
🔹 Spectrogram Interpretation
The spectrogram consists of 30 rows, each representing a specific cycle period. The vertical axis is logarithmically scaled between the "Minimum Period" and "Maximum Period" settings.
Color Intensity: Brighter or more saturated colors (depending on the selected theme) indicate higher spectral power or "energy" at that specific cycle length. Vertical Position: Higher rows represent longer cycle periods (slower cycles), while lower rows represent shorter periods (faster cycles).
🔹 Dominant Period Tracking
To help identify the most significant cycle at any given time, the script includes a Dominant Period Marker (red cross). This marker tracks the row with the highest energy, providing a real-time estimate of the current market cycle length in bars.
🔹 Dashboard Metrics
A real-time dashboard provides key analytical data:
Current DP: The period (in bars) of the most powerful cycle found in the current bar. Average DP: A 20-period moving average of the dominant period, useful for identifying stable, persistent cycles versus erratic shifts. Lowest Period: A reference for the minimum boundary of the spectral analysis.
🔶 DETAILS
A spectrogram is a visual representation of the spectrum of a signal as it varies with time. This script utilizes a series of Bandpass filters to isolate specific cycle lengths. Each filter is tuned to a period calculated using a logarithmic distribution, ensuring that the analysis covers a wide range of market periodicities without bias toward specific scales.
The "Power" of each cycle is calculated by squaring the output of the bandpass filter and applying a smoothing factor. This process helps filter out transient spikes and provides a cleaner "heat" signature for more reliable cycle identification.
🔶 SETTINGS
🔹 Aesthetics
Theme: Select from several high-contrast color maps, including Viridis, Inferno, Magma, Plasma, Cividis, and Turbo.
🔹 Settings
Minimum Period: The shortest cycle length (in bars) to include in the analysis. Maximum Period: The longest cycle length (in bars) to include in the analysis. Bandwidth: Controls the "focus" or resonance of each cycle band. Lower values result in narrower, more precise detection, while higher values allow for more overlap. Power Smoothing: Determines the amount of smoothing applied to the amplitude. Higher values reduce visual noise but may increase lag in detecting cycle shifts.
🔹 Dashboard
Dashboard: Toggles the visibility of the data table. Position: Moves the dashboard to different corners of the pane. Size: Adjusts the text and cell size of the dashboard. Indicador
HTF Frequency Zone [BigBeluga]🔵 OVERVIEW
HTF Frequency Zone highlights the dominant price level (Point of Control) and the full high–low expansion of any higher timeframe — Daily, Weekly, or Monthly. It captures the frequency of closes inside each HTF candle and plots the most traded “frequency zone”, allowing traders to easily see where price spent the most time and where buy/sell pressure accumulated.
This tool transforms each higher-timeframe bar into a fully visualized structure:
• Top = HTF high
• Bottom = HTF low
• Midline = HTF Frequency POC
• Color-coded zones = bullish or bearish bias
• Labels = counts of bullish and bearish candles inside the HTF range
It is designed to give traders an immediate understanding of high-timeframe balance, imbalance, and price attraction zones.
🔵 CONCEPTS
HTF Partitioning — Each Weekly/Daily/Monthly candle is converted into a dedicated zone with its own High, Low, and Frequency Point of Control.
Frequency POC (Most Touched Price) — The indicator divides the HTF range into 100 bins and counts how many times price closed near each level.
Dominant Zone — The level with the highest frequency becomes the HTF “Value Zone,” plotted as a bold central line.
Directional Bias —
• Bullish HTF zone
• Bearish HTF zone
Internal Candle Counting — Within each HTF period the indicator counts:
• Buy candles (close > open)
• Sell candles (close < open)
This reveals whether intraperiod flow was bullish or bearish.
HTF Structure Blocks — High, Low, and POC are connected across the entire higher-timeframe duration, showing the real shape of HTF balance.
🔵 FEATURES
Automatic HTF Zone Construction — Generates a complete price zone every time the selected timeframe flips (Daily / Weekly / Monthly).
Dynamic High & Low Extraction — The indicator scans every bar inside the HTF window to find true extremes of the range.
100-Level Frequency Scan — Each close within the period is assigned to a bin, creating a detailed distribution of price interaction.
HTF POC Highlighting — The most frequent price level is plotted with a bold red line for immediate visual clarity.
Bull/Bear Coloring —
• Green → Bullish HTF zone.
• Orange → Bearish HTF zone.
Zone Shading — High–Low range is filled with a semi-transparent color matching trend direction.
Buy/Sell Candle Counters — Printed at the top and bottom of each HTF block, showing how many internal candles were bullish or bearish.
POC Label — Displays frequency count (how many touches) at the POC level.
Adaptive Threshold Warning — If bars inside the HTF window are too few (<10), the indicator warns the trader to switch timeframe.
🔵 HOW TO USE
Higher-Timeframe Biasing — Read the zone color to determine if the HTF candle leaned bullish or bearish.
Value Zone Reactions — Price often reacts to the Frequency POC; use it as support/resistance or liquidity magnet.
Range Context — Identify when price is trading near HTF highs (breakout potential) or lows (reversal potential).
Momentum Evaluation — More bullish internal candles = internal buying pressure; more bearish = internal selling pressure.
Swing Trading — Use HTF zones as the “macro map,” then execute trades on lower timeframes aligned with the zone structure.
Liquidity Awareness — The HTF POC often aligns with algorithmic liquidity levels, making it a strong reaction point.
🔵 CONCLUSION
HTF Frequency Zone transforms raw higher-timeframe candles into detailed distribution zones that reveal true market behavior inside the HTF structure. By showing highs, lows, buying/selling activity, and the most interacted price level (Frequency POC), this tool becomes invaluable for traders who want to align executions with powerful HTF levels, liquidity magnets, and structural zones. Indicador
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