Multi-Metric Market Regime Detector - [KK]This indicator identifies current market behavioral regimes by synthesizing six complementary analytical methodologies. Rather than generating trading signals, it provides contextual analysis to help traders understand market conditions and adapt their strategies accordingly.
Markets cycle through distinct behavioral states - trending efficiently, consolidating in ranges, compressing before breakouts, or transitioning between states. This tool quantifies these conditions using only price action data (OHLC), enabling traders to filter strategies based on current market structure.
Core Methodology
The indicator combines six independent metrics into a weighted composite classification system:
Efficiency Ratio (30% weight)
Measures the signal-to-noise ratio of price movement by comparing net price displacement to total path traveled. High efficiency indicates clean directional movement; low efficiency indicates choppy, noisy conditions.
Choppiness Index (25% weight)
Quantifies whether the market is trending or consolidating by comparing cumulative True Range to actual price range. Values below 38.2 suggest trending behavior; values above 61.8 suggest range-bound consolidation.
Volatility Analysis (20% weight)
Detects compression and expansion cycles using the relationship between Bollinger Bands and Keltner Channels. Compression phases (squeeze conditions) often precede significant directional moves.
Fractal Efficiency Proxy (10% weight)
Analyzes path complexity by comparing net displacement to cumulative range, providing insight into the smoothness versus randomness of price action.
Market Structure (15% weight)
Examines pivot point sequences to identify structural trends. Higher Highs and Higher Lows indicate bullish structure; Lower Lows and Lower Highs indicate bearish structure.
Wick-to-Body Ratio Analysis (qualitative)
Identifies rejection and indecision patterns by measuring the proportion of candle wicks to bodies, highlighting potential reversal zones or liquidity events.
Regime Classifications
The composite scoring system produces four distinct regime states:
TRENDING : High efficiency, low choppiness, clear directional structure. Favorable conditions for momentum and trend-following strategies.
CHOPPY/RANGE : Low efficiency, high choppiness, mean-reverting behavior. Favorable conditions for range trading and counter-trend setups.
COMPRESSION : Volatility squeeze detected, market coiling. Anticipate expansion; reduce position size until breakout confirmation.
TRANSITION : Mixed signals, conflicting metrics, unclear direction. Recommended to reduce exposure and wait for regime clarity.
Visual Features
Regime-Colored Candles (enabled by default)
Candles are colored according to the current regime state for immediate visual identification. Green indicates trending, gray indicates choppy, orange indicates compression, and yellow indicates transition.
Comprehensive Metrics Table (top right)
Displays real-time values for all six metrics along with individual regime assessments and the final composite classification with score.
Regime Guide Table (middle right)
Quick reference guide showing recommended strategies and actions to avoid for each regime state.
Chart Label ( optional)
Summary label displaying current regime and key metric values.
Background Coloring (optional)
Alternative visualization using background colors instead of candle coloring.
Indicator Plots (optional)
Displays Efficiency Ratio and Choppiness Index with threshold reference lines.
Customization Options
All calculation parameters are adjustable:
- Efficiency Ratio lookback period and thresholds
- Choppiness Index length and classification thresholds
- Volatility analysis parameters (BB/KC multipliers and lengths)
- Pivot detection sensitivity (left/right bars)
- Text size controls for both tables (Tiny to Huge)
- Visual element toggles (candles, background, label, tables, plots)
The indicator automatically detects chart theme (dark/light) and adjusts text colors for optimal readability.
Practical Application
This is a context tool, not a signal generator. Use it to:
- Filter trend-following strategies to trending regimes only
- Identify range-bound conditions for mean-reversion setups
- Anticipate breakout opportunities during compression phases
- Reduce exposure during transitional periods with mixed signals
- Improve risk management by matching position size to regime clarity
The indicator works on all timeframes and instruments using only OHLC data. Higher timeframes generally provide more stable regime classifications.
Alert Conditions
Four alert types are available:
- Efficiency Ratio crosses trend threshold
- Choppiness Index enters range territory
- Volatility squeeze released
- Regime state change detected
Technical Notes
Built with Pine Script v5. Uses up to 500 bars of historical data for stable calculations. All metrics are calculated in real-time with no repainting on confirmed pivots. Compatible with all chart themes through adaptive text coloring.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Past performance and theoretical analysis do not guarantee future results. Always conduct independent research and implement appropriate risk management. Trading financial instruments involves substantial risk of loss.
Usage Philosophy
The goal is not to trade more frequently, but to think more clearly about market conditions. Use this tool to develop deeper intuition about market structure and to enforce discipline by avoiding low-probability setups during unfavorable regime conditions.
Dönemler
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
Monthly Financial Liquidity Proxy Seasons 2.0The Skylark Digital Assets Monthly Financial Liquidity Proxy (FLP) — Seasons 2.0 converts a long-horizon liquidity signal into a clean, regime-based seasonal map that helps identify where markets likely sit in the broader liquidity cycle.
Core signal: A monthly composite liquidity proxy, normalized so diverse markets can be combined into a single, comparable oscillator.
Smoothing layer: A 12-month EMA is used to reduce noise and emphasize durable regime shifts.
Season regimes (EMA-based):
Winter (Blue): EMA ≤ 49 → tighter liquidity / risk-off tendency.
Spring (Yellow): EMA 50–59 → improving liquidity / transition regime.
Summer (Green): EMA ≥ 60 → abundant liquidity / risk-on tendency.
Fall (Red): triggers on 3 consecutive declining EMA months, only if EMA is ≥ 50 → late-cycle cooling/rollover behavior.
Anti-“blip” logic (Seasons 2.0): A new season is only recognized after it persists for at least 3 months, filtering out 1-month regime flickers.
Visual backfill: Once a season is confirmed (month #3), the script visually backfills the prior months so the regime appears from the start of the run—without changing the underlying confirmation rule.
Net: Monthly FLP Seasons 2.0 is a cycle-context tool—built to highlight durable liquidity regimes and transitions, not to overreact to short-term noise.
Skylark Digital Assets Daily FLP SnapshotThe Skylark Digital Assets Daily Financial Liquidity Proxy (Daily FLP) is a snapshot-style indicator designed to track the market’s current liquidity tone using a single standardized daily reading.
What it measures: A daily composite “liquidity impulse”—whether conditions are broadly tightening or easing across key global risk and rate benchmarks.
How it’s built (high level): It blends multiple major markets into one equal-weighted composite, using a normalized momentum framework so very different assets can be compared on the same scale.
Why “snapshot-safe”: The daily value is computed as a stable daily print (one clean value per day), so it avoids noisy intraday flicker and stays consistent when viewed on different chart timeframes.
How to interpret it:
Higher readings generally align with easier financial conditions / risk-on regimes.
Lower readings generally align with tighter conditions / risk-off regimes.
The Daily FLP is most useful for regime context, not as a standalone trade trigger.
How it’s used: As a macro timing and risk-management overlay—a way to contextualize positioning, confirm broader market shifts, and monitor transitions from tightening to easing (and vice-versa).
Skylark Digital Assets Monthly Financial Liquidity IndexThe Monthly Financial Liquidity Proxy (FLP) is a standardized, oscillator-style measure of broad financial conditions. Seasons 2.0 is the public-facing framework that translates the FLP into four regime “seasons” to help describe where liquidity sits within a recurring cycle.
What “Seasons 2.0” does
Converts the monthly FLP into a clear regime map (Winter / Spring / Summer / Fall).
Uses explicit thresholds + persistence rules to reduce noise and avoid one-month regime “blips.”
Designed for macro framing and cycle context (not a single-indicator trading system).
5S - Sessions and Key LevelsThis indicator will draw a box for Asia/London/US sessions automatically in the chart. The high/low/mid points of these sessions are usually reacted quite easily. Using these levels to scalp as reversal points with SL of 1 ATR is recommended.
The indicator also adds lines for 6PM open, 2AM open, and 10am open prices. Price has a high chance to react when reaching these levels. Scalping using these levels as reversal points usually works with 1 ATR stoploss.
The indicator also adds Fisher Transform indicator and default as 5 minute TF. When Fisher Transform reaches 2.5, price can reverse quickly.
The indicator will also add SMA20/50/100/200 as trend indicator. If price is above all the SMA's, your long trades will likely work better at the session levels and open levels mentioned above. Vice versa for when price is below all the SMA's.
QTاندیکاتور "QT" در پلتفرم TradingView یک ابزار پیشرفته برای تجزیه و تحلیل بازار است که از چندین چرخه زمانی مختلف بهره میبرد. این اندیکاتور به شما کمک میکند تا نقاط بحرانی در بازههای زمانی مختلف (سالیانه، ماهانه، هفتگی، روزانه، 90 دقیقهای و میکرو) را شناسایی کنید. ویژگی برجسته این اندیکاتور، استفاده از SSMT (Same Cycle Multiple Timeframes) و PSP (Price Signal Patterns) برای ارائه سیگنالهای دقیقتر است. این دو بخش باعث میشوند که اندیکاتور "QT" به ابزاری قدرتمند برای تریدرها تبدیل شود.
ویژگیهای اصلی:
SSMT (Same Cycle Multiple Timeframes):
SSMT یک روش تجزیه و تحلیل پیشرفته است که در آن یک چرخه زمانی خاص بهطور همزمان در چندین تایم فریم مختلف رصد میشود. این اندیکاتور با استفاده از SSMT، به شما این امکان را میدهد که تغییرات قیمت در تایم فریمهای مختلف را مقایسه کنید و سیگنالهایی که در چندین تایم فریم همزمان فعال هستند، شناسایی کنید.
این سیگنالها میتوانند به شما کمک کنند که نقاط ورود و خروج بهتری داشته باشید، چرا که تایید شدن سیگنال در چند تایم فریم به معنای اعتبار بالای آن است.
به عنوان مثال، زمانی که یک شکست قیمتی در تایم فریم روزانه رخ میدهد و همزمان در تایم فریمهای هفتگی و ماهانه هم تأیید میشود، احتمال اینکه این حرکت ادامهدار باشد، بسیار بالا خواهد بود.
SSMT قابلیت تنظیم دارد و میتوانید آن را بر اساس نیاز خود بهطور سفارشی تنظیم کنید، از جمله تعیین نحوه نمایش علامتها، رنگها و خطوط سیگنال.
PSP (Price Signal Patterns):
PSP یکی از بخشهای کلیدی اندیکاتور QT است که از الگوهای خاص قیمتی برای شناسایی تغییرات مهم در بازار استفاده میکند. این الگوها میتوانند شامل شکستها (Breakouts)، برگشتها (Reversals) و تغییرات روند (Trend Changes) باشند.
اندیکاتور PSP از دو نماد مختلف برای مقایسه استفاده میکند (مثلاً "SPY" و "QQQ") و نقاطی که این نمادها با یکدیگر دچار انحراف میشوند را شناسایی میکند. به عنوان مثال، اگر یک نماد صعودی باشد اما دیگری نزولی باشد، این میتواند بهعنوان یک هشدار برای تغییر روند بازار عمل کند.
در کنار این الگوها، این اندیکاتور از نشانگرهای گرافیکی (مانند مثلثها، فلشها و علامتهای دایرهای) برای نمایش این تغییرات استفاده میکند.
PSP همچنین این امکان را به شما میدهد که سیگنالهای قیمتی را در تایم فریمهای مختلف مشاهده کرده و تصمیمات دقیقتری بگیرید.
چرخههای زمانی و جعبهها:
اندیکاتور QT از جعبههای زمانی برای نمایش تغییرات در چارچوبهای زمانی مختلف (سالیانه، ماهانه، هفتگی و غیره) استفاده میکند.
این جعبهها میتوانند بهطور خودکار و با تنظیمات سفارشی شما رسم شوند، بهطوری که شما میتوانید روندهای مختلف بازار را در تایم فریمهای متفاوت مشاهده کنید.
بهطور کلی، این ویژگی به شما کمک میکند که نقاط حمایت و مقاومت مهم در زمانهای مختلف بازار را شناسایی کنید.
گرافیک و سفارشیسازی:
این اندیکاتور به شما این امکان را میدهد که رنگها، اندازهها، و استایلهای گرافیکی را به دلخواه خود تغییر دهید. این ویژگی به تریدرها این امکان را میدهد که ابزار را با توجه به نیاز خود شخصیسازی کنند.
همچنین، از آنجا که این اندیکاتور از چندین چرخه زمانی استفاده میکند، شما میتوانید هرکدام از این چرخهها را با استایلهای مختلف نمایش دهید، مثل استفاده از خطچین، نقطهچین یا خطهای عادی.
خلاصه:
اندیکاتور "QT" با استفاده از تکنیکهای پیشرفته مانند SSMT و PSP، تجزیه و تحلیل بازار را در چندین تایم فریم مختلف برای شما امکانپذیر میسازد. این اندیکاتور با تحلیل دقیق چرخههای زمانی مختلف و شناسایی الگوهای قیمتی، سیگنالهایی را برای ورود و خروج به بازار به شما ارائه میدهد که میتواند بهطور قابلتوجهی به استراتژی معاملاتی شما کمک کند.
English:
Detailed Description of QT Indicator with Focus on SSMT and PSP:
The "QT" indicator on TradingView is an advanced tool designed for market analysis using multiple time cycles. It provides traders with a comprehensive view of market trends across different time frames (Yearly, Monthly, Weekly, Daily, 90-minute, and Micro). The standout feature of this indicator is its utilization of SSMT (Same Cycle Multiple Timeframes) and PSP (Price Signal Patterns), which enhances its ability to deliver more accurate signals. These two components make the "QT" indicator a powerful tool for traders.
Main Features:
SSMT (Same Cycle Multiple Timeframes):
SSMT is an advanced analysis technique that monitors a specific cycle across multiple time frames simultaneously. By using SSMT, this indicator allows traders to compare price changes across different time frames and identify signals that are active across multiple time frames.
These signals help traders identify high-probability entry and exit points because when a signal is confirmed across several time frames, it indicates a strong likelihood of a sustained price move.
For example, if a price breakout occurs on the daily time frame and is simultaneously confirmed on the weekly and monthly time frames, it is more likely to continue.
SSMT is highly customizable, allowing traders to adjust how markers, colors, and signal lines are displayed based on their preferences.
PSP (Price Signal Patterns):
PSP is one of the key components of the QT indicator that uses specific price patterns to identify significant market changes. These patterns can include breakouts, reversals, and trend changes.
The indicator utilizes two symbols (e.g., "SPY" and "QQQ") to compare and identify when these symbols diverge, signaling potential market shifts. For instance, if one symbol is bullish while another is bearish, this could signal a change in market direction.
In addition to these patterns, the indicator uses graphical markers (such as triangles, arrows, and circles) to visually represent these market changes and signals.
PSP allows traders to view price signals across different time frames, helping them make more informed decisions.
Time Cycles and Boxes:
The QT indicator uses time boxes to visually display price changes across different time frames (Yearly, Monthly, Weekly, etc.).
These boxes are automatically drawn and can be customized based on the user's settings, allowing traders to observe market trends across various periods.
Overall, this feature helps traders identify critical support and resistance levels at different points in time.
Graphics and Customization:
This indicator allows traders to customize colors, sizes, and graphical styles to fit their needs.
Additionally, since the indicator uses multiple time cycles, traders can display each cycle with different styles, such as solid, dotted, or dashed lines.
Summary:
The "QT" indicator, using advanced techniques like SSMT and PSP, allows traders to analyze the market across multiple time frames. By detecting significant price patterns and utilizing time cycles, the QT indicator provides high-probability signals for market entry and exit. This can greatly assist in enhancing your trading strategy.
Day HighlighterThis simple indicator highlights specific days of the week on your chart to assist with backtesting and pattern analysis.
Selectable Days: You can toggle specific days (e.g., Monday, Friday) on or off via the settings menu.
Visual Indicators: A red circle and the day name are displayed above the high of the candle for the selected days.
Visibility: The text is white to ensure high readability on dark backgrounds.
차트 보다가 '이게 무슨 요일이지?' 하고 일일이 날짜 확인하기 귀찮아서 만들었습니다. 설정에서 원하는 요일(예: 월요일)만 체크하면, 캔들 위에 빨간 원과 요일 이름을 자동으로 찍어줍니다. 특정 요일 무빙 복기할 때 편해요
PipX-Academy-FPFVG+BiasThis indicator identifies the first Fair Value Gap (FVG) that forms after the New York market open at 9:30 AM ET, filtered by a higher timeframe directional bias. It's designed for intraday traders who want to catch high-probability setups aligned with the overall market structure.
NeuraAlgo - Market Screener Market Dynamics – Screener
Market Dynamics – Screener is a multi-asset, multi-timeframe market opportunity scanner designed to identify high-probability trend transitions, continuation zones, and structural shifts across markets in real time.
Its primary purpose is to catch market opportunities early, filter out low-quality noise, and present actionable directional bias in a clean dashboard format.
This is not a simple signal indicator — it is a market state analyzer built from layered trend logic, volatility intelligence, sentiment structure, and adaptive risk modeling.
What This Indicator Does?
The screener continuously analyzes selected symbols and timeframes to determine:
📈 Bullish opportunities
📉 Bearish opportunities
🔄 Trend continuation vs reversal risk
⚖️ Market balance, bias, and volatility conditions
🧠 Strength & conviction behind moves (not just direction)
All results are summarized in a central dashboard, allowing you to scan multiple instruments at once without switching charts.
Core Philosophy
“Trade the environment, not just the signal.”
Market Dynamics focuses on:
Trend quality
Momentum sustainability
Volatility behavior
Structural confirmations
Risk-aware positioning
This prevents chasing weak moves and helps align trades with favorable market conditions.
Main Components Explained
1️⃣ Main Trend Engine
The heart of the system.
Detects primary bullish / bearish structure
Uses adaptive price ranges and volume-aware smoothing
Filters false breakouts and late entries
Outputs:
Trend direction
Momentum strength score
Valid entry transitions
Preset Modes
Main Trend → Best for swing & position trading
Multi Trend → Allows structured re-entries within trends
2️⃣ Main Filters (Noise Control)
These filters protect you from bad trades during unfavorable conditions.
You can enable/disable them individually:
Noise Filter – removes random price fluctuations
Gap Filter – avoids unstable gap-driven moves
Range Filter – blocks sideways market traps
Volatility Filter – confirms trend energy
Trend Filter (EMA + ATR slope) – confirms directional pressure
👉 Result: Cleaner signals, fewer fake entries
3️⃣ Feature Filters (Market Context)
These provide advanced market intelligence, not direct signals.
Reversal Cloud – detects exhaustion & reversal pressure
Sentiment Cloud – identifies range sentiment dominance
Price Steps – tracks structural stair-step movements
Market Bias – defines dominant directional control
Each feature can be used in:
Confirmation mode (trade with it)
Contrarian mode (fade extremes)
Disabled
4️⃣ Risk Management Engine
Built-in professional risk logic (visual & analytical):
Risk-Reward model
Partial take profits (TP1 / TP2 / TP3)
Optional Stop Loss
Trailing Stop mode
Adaptive exits based on market structure
⚠️ This indicator does not place trades, but it clearly defines:
Entry validity
Exit zones
Trade lifecycle status
5️⃣ Market Strength & Delta Analysis
For every active trend, the system measures:
Volume dominance
Bull vs Bear pressure
Delta imbalance
Strength consistency
This helps you avoid weak trends and focus on high-conviction moves.
Dashboard Overview
The dashboard shows, per symbol:
Ticker & timeframe
Current price
% change
Directional bias (Bull / Bear)
TP & SL hit counts
Feature states (Reversal, Sentiment, Bias, Steps)
Strength score
Volume & delta pressure
👉 One glance = full market snapshot.
How to Use It (Practical Workflow)
🔹 Step 1: Select Symbols & Timeframes
Add stocks, crypto, forex, or indices you actively trade.
🔹 Step 2: Choose a Preset
Main Trend → clean directional trading
Multi Trend → scaling & continuation entries
🔹 Step 3: Enable Filters
Start simple:
Noise Filter
Trend Filter
Then layer more filters as needed.
🔹 Step 4: Scan the Dashboard
Look for:
Clear Bull / Bear alignment
Strong strength score
Confirmed feature agreement
🔹 Step 5: Execute on Chart
Use the screener to find opportunities, then execute using:
Your own strategy
Price action
Order flow
Support & resistance
Who This Is For
✅ Swing traders
✅ Intraday traders
✅ Multi-asset traders
✅ Signal confirmation users
✅ Traders who want context, not guesswork
❌ Not for:
One-click signal chasers
Martingale systems
No-risk strategies
Final Note
Market Dynamics – Screener is designed to act as your market radar.
It does not tell you what to trade blindly —
It tells you where the market environment is favorable.
Catch opportunities early.
Avoid low-quality conditions.
Trade with structure, not emotion.
— NeuraAlgo
Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW
The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity.
⯁ KEY FEATURES
Polynomial Regression Core:
Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures.
polyreg(source, length, degree, extrapolate) =>
total = length + extrapolate
X_all = matrix.new(total, degree + 1, 0.0)
for i = 0 to total - 1
for j = 0 to degree
matrix.set(X_all, i, j, math.pow(i, j))
// y (length × 1), oldest→newest over the fit window
y = matrix.new(length, 1, 0.0)
for i = 0 to length - 1
matrix.set(y, i, 0, source )
// X_train (first `length` rows of X_all)
X_tr = matrix.new(length, degree + 1, 0.0)
for i = 0 to length - 1
for j = 0 to degree
matrix.set(X_tr, i, j, matrix.get(X_all, i, j))
// OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y
Xt = matrix.transpose(X_tr) // X'
XtX = matrix.mult(Xt, X_tr) // (X'X)
Xty = matrix.mult(Xt, y) // X'y
XtX_inv = matrix.inv(XtX) // (X'X)^(-1)
b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y
// Predictions for all rows (fit + extrap)
preds = matrix.mult(X_all, matrix.col(b,0))
preds
Extrapolated Future Projections:
Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move.
Dynamic Midline Coloring:
Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context.
Channel Boundaries:
Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions.
Top-Right Data Table:
A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart.
⯁ USAGE
Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness.
Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions.
Price labels and table values act as precise reference levels for planning entries, exits, or stop placement.
Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation.
Adjust Period and Extrapolate length to balance stability vs. responsiveness.
⯁ CONCLUSION
The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
Candle Pattern Alert (Close-Based)Indicator shows candle close.
There are different candle pattern -engulfing candle,inside bar,pinbar and doji
Projected Astro Map for $SPX - 2026This indicator projects the astrological turn dates for SP:SPX (S&P 500) for the year 2026.
Planetary influence of the market is a less known fact and not much research has gone into that subject. I have done extensive analysis on this subject for the past 20 years and this indicator is a result of that research.
This indicator projects the turns for the entire year of 2026. The projected curve in Blue indicates potential turns in $SPX. Projected curve for 2025 has been added for you to verify. 2025 Projection was posted on my X feed (@traderastro) at the beginning of Year 2025 itself. You can see for how tightly the actual price action has followed the projected curve of Year 2025. Once we know the turns in the market ahead of time, we can position our trades accordingly. This can serve as a road map so that you can avoid the potholes in the market as you navigate through Year 2026
This indicator is for purchase only. Please contact SKumar@finastrotrader.com (+1-510-363-5055) if you are interested
You can check out my website for more information about how the Planets influence the market. My website is finastrotrader.com
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M5-M15 TREND.V10Focusing on M5 / M15 trend
Wait until the price go back to Orange trend line
Trend line : M15
Buy/Sell near the trend line
Buy/Sell based on the signal
GC HOD / LOD Time ZonesGC HOD / LOD Time Zones (Daily Open Anchored)
This indicator highlights statistically significant intraday time windows in COMEX Gold futures (GC) where the High-of-Day (HOD) and Low-of-Day (LOD) most frequently form, based on intraday historical analysis.
All zones are anchored to the daily session open, ensuring that each highlighted window is interpreted in context of the current trading day, not prior sessions. The indicator displays these zones across historical data, allowing traders to study recurring behavior and validate edge over time.
Color Logic
Red Zones — Time windows where HOD most commonly forms
Blue Zones — Time windows where LOD most commonly forms
Purple Zones — Overlapping windows where both HOD and LOD have historically occurred, indicating heightened volatility and extreme-formation risk
Key Characteristics
Uses Central Time (CT) for all time calculations
Based on 1-minute intraday research of GC futures
Anchored to the daily candle open for session relevance
Displays past and present zones for historical study
Time-based only — no directional bias is implied
Intended Use
This indicator is designed to provide time-based context, not trade signals. It is best used alongside:
Higher-timeframe bias
Liquidity and session analysis
Volatility expansion or contraction models
Fractal, CPI, or macro-event frameworks
The zones identify when price is most likely to establish an intraday extreme — not whether price will move up or down.
Rango y Apertura PersonalizadoThis indicator highlights the opening times, and also shows the highest and lowest point on that candle.
FTI CycleCounter_V2_2512_28This indicator provides keeps track of the momentum in either direction and keeps track of the time it takes to complete the cycle in either direction. This will indicate when a new cycle to the upside or to the downside is about to start. You may use this for booking profits and switching your trade in the other direction. Besides that it will also indicate the angle of ascent/descent and also when the price is likely to go sideways
Cerber Market Regime Indicator📊 CERBER MARKET REGIME INDICATOR
A versatile momentum indicator that helps identify market regimes using Rate of Change (ROC) analysis. Designed for visualizing momentum extremes and mean-reversion zones.
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🔧 TWO MODES:
▸ Fixed Mode (Default)
Uses percentage-based ROC thresholds. Simple and intuitive - when momentum exceeds +10% or drops below -10%, the indicator signals extreme conditions.
▸ Z-Score Mode
Normalizes ROC using statistical z-score, automatically adapting to each asset's volatility. A reading of +1σ or -1σ represents one standard deviation from the mean, making thresholds consistent across different assets.
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⚙️ KEY SETTINGS:
• ROC Lookback: Period for calculating rate of change (default: 30 bars)
• Z-Score Window: Rolling window for mean/std calculation (default: 60 bars)
• Top/Bottom Thresholds: Configurable levels for regime identification
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📈 VISUAL ELEMENTS:
• Green line: Momentum above top threshold (bullish extreme)
• Red line: Momentum below bottom threshold (bearish extreme)
• Gray line: Neutral zone between thresholds
• Dashed lines: Threshold levels
• Shaded zone: Neutral trading range
• Info table: Current mode, settings, and live values
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💡 USE CASES:
• Identify overbought/oversold conditions
• Spot mean-reversion opportunities
• Gauge momentum regime for trend strategies
• Compare momentum across different assets (Z-Score mode)
• Visualize market extremes for discretionary analysis
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⚠️ DISCLAIMER:
This indicator is for visualization and educational purposes only. It does not generate trading signals and should not be used as the sole basis for trading decisions. Always conduct your own research and use proper risk management.
