PCR Put-Call Ratio//@version=5
indicator("PCR Put-Call Ratio", overlay=false, precision=4)
// Input parameters
pcrLength = input(20, "PCR Length", group="Settings")
maLength = input(5, "MA Length", group="Settings")
showOI = input(true, "Use Open Interest", group="Settings")
// Get PCR data from CBOE (requires daily data availability)
pcrData = request.security("CBOE:PC", "D", close)
// Calculate moving average of PCR
pcrMA = ta.sma(pcrData, maLength)
// Levels for interpretation
overbought = 1.2
oversold = 0.6
neutral = 0.9
// Plot PCR value
plot(pcrData, title="PCR Value", color=color.blue, linewidth=2)
plot(pcrMA, title="PCR MA", color=color.orange, linewidth=1)
// Add reference lines
hline(overbought, "Overbought (Bearish)", color.red, linestyle=hline.style_dashed)
hline(neutral, "Neutral", color.gray, linestyle=hline.style_dotted)
hline(oversold, "Oversold (Bullish)", color.green, linestyle=hline.style_dashed)
// Background coloring based on sentiment
bgColor = pcrData > overbought ? color.new(color.red, 80) :
pcrData < oversold ? color.new(color.green, 80) :
color.new(color.gray, 90)
bgcolor(bgColor)
Các mẫu biểu đồ
Optimized BTC Mean Reversion (RSI 20/65)📈 Optimized BTC Mean Reversion (RSI 20/65)
Optimized BTC Mean Reversion (RSI 20/65) is a rule-based trading strategy designed to capture mean-reversion moves in strong market structures, primarily optimized for Bitcoin, but adaptable to other liquid cryptocurrencies.
The strategy combines RSI extremes, Stochastic momentum, and EMA trend filtering to identify high-probability reversal zones while maintaining strict risk management.
🔍 Strategy Logic
This system focuses on entering trades when price temporarily deviates from equilibrium, while still respecting the broader trend.
✅ Long Conditions
RSI below 20 (oversold)
Stochastic below 25
Price trading above the 200 EMA (or within a controlled deviation)
Designed to buy sharp pullbacks in bullish conditions
❌ Short Conditions
RSI above 65 (overbought)
Stochastic above 75
Price trading below the 200 EMA
Designed to sell relief rallies in bearish conditions
🛡 Risk Management
Fixed Stop Loss: 4%
Fixed Take Profit: 6%
Risk/Reward: 1 : 1.5
No pyramiding (single position at a time)
Full equity position sizing (adjustable)
All exits are predefined at entry, ensuring consistency and emotional discipline.
📊 Indicators Used
200 EMA – Trend direction filter
RSI (14) – Mean-reversion trigger (20 / 65 levels)
Stochastic Oscillator – Momentum confirmation
👁 Visual Features
EMA plotted directly on chart
Real-time Stop Loss, Take Profit, and Entry Price lines
Clear long/short entry markers
Works on all timeframes (optimized for intraday and swing trading)
🔔 Alerts
Long entry alerts
Short entry alerts
(Perfect for automation or discretionary execution)
⚠️ Disclaimer
This strategy is intended for educational and research purposes only. Past performance does not guarantee future results. Always test on a demo account and adjust risk parameters to your own trading plan.
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
MACD Trend Count ScoreThis indicator aims to confirm trends in an asset's price. This confirmation is achieved by counting the MACD bars in a calculation using the chosen timeframe. Positive and negative bars are considered in the calculation of the strength index, which indicates the current trend of that asset.
Low Volume Pullback DetectorThis script incorporates the logic of Volume Price Analysis (VPA), identifying potential trend continuations by detecting pullbacks with decreasing volume.
###**Features:**1. **Trend Filtering:** Uses a 50-period EMA to ensure trades align with the dominant market direction.
2. **Structure Identification:** Detects recent highs and lows to confirm that price action is indeed a pullback within a trend.
3. **Volume Analysis:** Checks if the volume during the pullback is below the 20-period average, signaling a lack of conviction from counter-trend traders.
4. **Signal Generation:** Triggers a "Buy" or "Sell" signal when price breaks out of the pullback range, confirming momentum is returning in the direction of the trend.
5. **User Guide:** Detailed comments explaining the strategy, setup, trade execution, and best markets are included directly within the script for easy reference.
###**How to Use:*** **Setup:** Apply the script to a chart (works best on Stocks and Futures).
* **Identify Trend:** Ensure price is above (for Buy) or below (for Sell) the gray 50 EMA line.
* **Wait for Signal:** Look for the **"VOL DRY"** label. This appears when a low-volume pullback is followed by a breakout candle.
* **Execution:** Enter on the close of the signal candle. Set your Stop Loss below/above the pullback swing and target the previous structural high/low.
MA 50/150 Status Light לקראת שנת 2026. בודק האם אנחנו נמצאים מעל ממוצע 150 ו 50 האם בין והאם מתחת
במידה ואנחנו מעל אז מצב המניה חזק
במידה ובין אז סימן אזהרה, החלשות המניה
במידה ומתחת אז מניה חלשה
“Heading into 2026, we check whether the price is above the 50-day and 150-day moving averages, between them, or below them.
If the price is above both, the stock is in a strong condition.
If the price is between them, it is a warning sign — the stock is weakening.
If the price is below both, the stock is weak.”
XAUUSD Session Move Stats (Last 14 Days)This indicator analyzes Gold (XAUUSD) session behavior over the last 14 days and calculates how price typically moves during the Asia, London, and New York sessions.
For each session, it shows:
Average Max Up (%) – how far price moves up from session open
Average Max Down (%) – how far price moves down from session open
Average Net Close (%) – where price typically finishes relative to the session open
The data is calculated session-by-session and displayed in a table, helping traders understand session bias, volatility tendencies, and directional behavior.
Best used on intraday timeframes for session-based analysis and contextual trade planning (signals only, no automated trades).
Trend zooming boxThis script clearly find trend.
You will be able to find areas where you get large impulsive moves in history easily. Not too much to describe.
Hammer Breakout (Adjustable RR)Hammer candle detection and strat for back testing.
diamond indicates a detected hammer candle, the position is entered at the hammer candle close.
Stop loss below the hammer candle wick.
Adjustbale rr based on the distance to the stop (bottom of wick)
ICT Macro Tracker - Study Version (Original by toodegrees)This indicator is a modified study version of the ICT Algorithmic Macro Tracker by toodegrees, based on the original open-source script available at The original indicator plots ICT Macro windows on the chart, corresponding to specific time [ periods when the Interbank Price Delivery Algorithm undergoes checks/instructions (aka "macros") for the price engine to reprice to an area of liquidity or inefficiency.
This study version adds functionality to hide bars outside macro periods. When enabled, the indicator draws boxes that cover the full chart height during non-macro periods, obscuring those bars so only macro periods are visible. This helps focus on macro-only price action. The feature is configurable, allowing users to enable or disable it and customize the box color. All original functionality remains intact.
Zee's A+ MOMO BreakThis just shows an indicator when you have a 5 minute momentum candle that breaks PMH under specific parameters, i.e candle size, wick size, relative volume, time of day, etc. It will plot the PMH with a gold line automatically. Entry would be at the close of the MOMO break. I highly encourage you to back test your results and see how strong this setup is. Any questions feel free to comment or reach out, thanks.
INAZUMA Bollinger BandsThis is an indicator based on the widely used Bollinger Bands, enhanced with a unique feature that visually emphasizes the "strength of the breakout" when the price penetrates the bands.
Main Features and Characteristics
1. Standard Bollinger Bands Display
Center Line (Basis): Simple Moving Average (\text{SMA(20)}).
1 sigma Lines: Light green (+) and red (-) lines for reference.
2 sigma Lines (Upper/Lower Band): The main dark green (+) and red (-) bands.
2. Emphasized Breakout Zones: "INAZUMA / Flare" and "MAGMA"
The key feature is the activation of colored, expanding areas when the candlestick's High or Low breaks significantly outside the \pm 2\sigma bands.
Upper Side (Green Base / Flare):
When the High exceeds the +2\sigma line, a green gradient area expands upwards.
Indication: This visually suggests strong buying pressure or overbought conditions. The color deepens as the price moves further away, indicating higher momentum.
Lower Side (Red Base / Magma):
When the Low falls below the -2 sigma line, a red gradient area expands downwards.
Indication: This visually suggests strong selling pressure or oversold conditions. The color deepens as the price moves further away, indicating higher momentum.
Key Insight: This visual aid helps traders quickly assess the momentum and market excitement when the price moves outside the standard Bollinger Bands range. Use it as a reference for judging trend strength and potential entry/exit points.
Customizable Settings
You can adjust the following parameters in the indicator settings:
Length: The period used for calculating the Moving Average and Standard Deviation. (Default: 20)
StdDev (Standard Deviation): The multiplier for the band width (e.g., 2.0 for -2 sigma). (Default: 2.0)
Source: The price data used for calculation (Default: close).
Volume Delta Divergence Candle ColorThis indicator identifies divergences between price action and volume delta, highlighting potential reversal or continuation signals by coloring candles when buyer/seller pressure conflicts with the candle's direction.
**How It Works:**
The indicator analyzes real-time up/down volume data to detect two types of divergences:
🟣 **Seller Divergence (Fuscia)** - Occurs when a candle closes bullish (green) but the volume delta is negative, indicating more selling pressure despite the upward price movement. This suggests weak buying or potential distribution.
🔵 **Buyer Divergence (Cyan)** - Occurs when a candle closes bearish (red) but the volume delta is positive, indicating more buying pressure despite the downward price movement. This suggests weak selling or potential accumulation.
**Features:**
✓ Colors only divergent candles - non-divergent candles maintain your chart's default colors
✓ Uses actual exchange volume delta data (works best with CME futures and other instruments with tick-level data)
✓ Optional triangle markers above/below divergent candles for quick visual identification
✓ Clean, minimal design that doesn't clutter your chart
**Best Used For:**
- Identifying potential reversals or continuations
- Spotting weak price movements that may not follow through
- Confirming price action with underlying volume pressure
- Works on any timeframe with available volume delta data
**Note:** This indicator requires volume data from exchanges that provide tick-level information (CME futures, cryptocurrency exchanges, etc.). Results may vary on instruments with limited volume data.
FOMC Sweep Reaction AP Capital – FOMC Sweep Reaction v1.0
AP Capital – FOMC Sweep Reaction v1.0 is a news-reaction and liquidity-based trading tool designed specifically to track and trade FOMC volatility on Gold (XAUUSD) and other highly reactive instruments.
The indicator focuses on liquidity sweeps, structure breaks, and EMA reclaims that commonly occur around Federal Reserve interest-rate decisions and Powell speeches, helping traders identify high-probability reversal or continuation moves after the initial spike.
🔍 What This Indicator Detects
This tool highlights the most repeatable FOMC behaviours observed across multiple months of broker data:
• Sweeps of previous day’s high or low
• Stop-hunt wicks into liquidity pools
• EMA13 reclaim after the news spike
• Break and close beyond short-term structure
• Momentum shift following volatility exhaustion
The goal is not to predict the news, but to react to confirmed price behaviour after liquidity has been taken.
📌 Core Features
• FOMC Sweep Detection
Identifies aggressive wicks into prior highs/lows during news volatility
• EMA Reclaim Confirmation
Uses EMA13 to validate momentum shift after the sweep
• Market Structure Awareness
Filters reactions that fail to break structure to avoid false reversals
• Session-Aligned Logic
Designed around London → NY → FOMC release timing
• Clean Visuals
Minimal chart clutter for fast decision-making during volatile conditions
🧠 How to Use
Wait for FOMC release / Powell speech
Allow price to sweep previous liquidity (PDH / PDL / local extremes)
Observe reclaim of EMA13
Enter only after structure confirmation
Manage trade using EMA trailing or structure-based exits
⚠️ This is a reaction system, not a prediction tool.
📊 Best Use Cases
• XAUUSD (Gold)
• NASDAQ / US indices
• High-impact macro news events
• 5-min to 15-min timeframes
⚠️ Important Notes
• News volatility is extreme — risk management is essential
• Not designed for low-volatility or ranging markets
• Best combined with a clear trading plan and strict risk rules
📎 Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Trading during high-impact news events involves significant risk.
Body Direction Ratio (Fixed Range)Overview
The Body Direction Ratio (Fixed Range) indicator measures directional participation inside a user-defined time range by analyzing candle bodies only.
Instead of counting candles, the indicator sums the actual body size of bullish and bearish candles within the selected range and displays their percentage relationship. This provides a clear view of who was in control during that period: buyers or sellers.
What the indicator does
Within the selected time range, the indicator:
Calculates bullish body size (close > open)
Calculates bearish body size (open > close)
Sums both values
Computes the percentage ratio between bullish and bearish bodies
Draws a range box covering the high/low of the selected period
Assigns a Bullish or Bearish bias
Colors the box automatically based on that bias
There is no “Balanced” state by design. The result is always either Bullish or Bearish, ensuring a clear directional context.
Bias Logic
Bullish Bias: Bullish body sum ≥ Bearish body sum
Bearish Bias: Bearish body sum > Bullish body sum
The box color reflects the detected bias instantly.
Fixed Range Control
Fully manual start and end time
Optional Auto End = Current Bar toggle
End time is always guaranteed to come after start time
No automatic extending unless explicitly enabled
This ensures precise and reproducible analysis.
How to use it (recommended workflow)
This indicator is not a signal tool. It is a context and participation tool.
A powerful use case is applying the indicator on lower timeframes at higher-timeframe points of interest.
Examples of points of interest:
Higher-timeframe support and resistance levels
Supply and demand zones
Daily or weekly key levels
Session ranges and reaction areas
Workflow example:
Identify a higher-timeframe level (e.g. daily resistance)
Switch to a lower timeframe (e.g. 5m or 15m)
Select a fixed range around the reaction area
Observe whether buyers or sellers dominated inside that range
Use the result as contextual information, not as an entry trigger
This helps answer questions such as:
Was the reaction buyer-driven or seller-driven?
Is participation expanding or fading?
Does price acceptance or rejection make structural sense?
Input Parameters
Time Range
Start Time
Defines the beginning of the fixed analysis range. Only candles whose time is equal to or after this timestamp are included in the calculation.
End Time
Defines the end of the fixed analysis range. Only candles whose time is equal to or before this timestamp are included in the calculation.
Auto End = Current Bar
When enabled, the end time is automatically set to the current bar. This allows the range to extend dynamically while keeping the start time fixed. When disabled, the range remains strictly fixed between Start Time and End Time.
Visual
Bullish Box Color
Sets the box color when bullish body participation is greater than or equal to bearish body participation.
Bearish Box Color
Sets the box color when bearish body participation is greater than bullish body participation.
Text Color
Defines the text color used for the information label displayed on the chart.
Important notes
This indicator does not predict price
It does not generate buy or sell signals
It should always be used together with structure, levels, and higher-timeframe context
Key benefits
Measures real participation instead of candle count
Works on any timeframe
Especially effective on lower timeframes around HTF levels
Clear directional bias without ambiguity
Clean, non-lagging, fixed-range logic
Pro Futures Signal v1.4 Follow the TrendTentu, ini adalah deskripsi indikator Anda dengan nama baru NuAing Pro Futures Signal v1.4 • Follow the Trend dalam Bahasa Inggris dan Bahasa Sunda.
🇺🇸 English Description
🌟 NuAing Pro Futures Signal v1.4 • Follow the Trend
This Pine Script indicator is a sophisticated, trend-following system designed for futures or highly volatile markets. It provides high-probability entry signals based on the strict alignment of trend direction, momentum confirmation, and volume filtering, while incorporating robust, non-repainting risk management.
🎯 Core Strategy: The Trend-Pullback Model
The system operates as a Trend-Pullback Strategy. It exclusively seeks to initiate trades on brief retracements (pullbacks) within a strong, established trend, requiring the convergence of four critical factors:
Macro Trend Confirmation: Established by the Golden/Death Cross relationship between the EMA 50 (Fast Trend) and EMA 200 (Slow Trend).
Momentum Validation: Confirmed by the RSI 14 moving strongly in the direction of the main trend (e.g., above 50 and rising for Long trades).
Entry Trigger (Pullback): Price must interact with the EMA 20, signaling an optimal entry point during a short-term correction.
Volume Filter: The signal is only deemed valid if the volume exceeds the Volume MA 20, confirming strong market interest.
📈 Key Features
Non-Repainting Risk Management: Stop Loss (SL) and Take Profit (TP1/TP2) levels are calculated using ATR precisely at the moment the new signal appears and are locked in place to ensure accurate backtesting and reliable tracking.
Probability Engine: Assigns a quality score (up to 70%) to each signal and provides a Risk Grade (A, B, C), enabling users to prioritize the highest-confidence trade setups.
Advanced UI/UX: Features a professional, color-coded dashboard displaying real-time market state (Trend, Momentum, Probability), Entry Line, and clear No-Trade reasons (e.g., EMA Flat, Low Volume).
Visual Control: Provides full user control over visual elements, including displaying/hiding historical signal labels (which now have a subtle 60% opacity) and risk lines.
🇮🇩 Deskripsi dalam Bahasa Sunda
🌟 NuAing Pro Futures Signal v1.4 • Follow the Trend
Indikator Pine Script ieu mangrupakeun sistem anu canggih, dirancang pikeun nuturkeun tren dina pasar futures atawa pasar anu volatil pisan. Éta nyadiakeun sinyal entry kalayan probabilitas luhur dumasar kana kasaluyuan anu ketat tina arah tren, konfirmasi moméntum, jeung filter volume, sarta ngawengku manajemén résiko anu moal repaint sarta kuat.
🎯 Stratégi Utama: Modél Tren-Pullback
Sistem ieu beroperasi salaku Stratégi Turutan-Tren (Trend-Pullback). Éta husus néangan entry dina retrace sakeudeung (pullback) dina jero tren anu kuat tur stabil, merlukeun kasaluyuan opat faktor kritis:
Konfirmasi Tren Makro: Ditangtukeun ku hubungan EMA 50 (Tren Gancang) jeung EMA 200 (Tren Lambat).
Validasi Moméntum: Dikonfirmasi ku RSI 14 anu ngaléngkah kuat saluyu jeung arah tren utama (contona, di luhureun 50 jeung naék pikeun Long).
Pamicu Entri (Pullback): Harga kudu papanggih jeung EMA 20, sinyal titik entry anu optimal salila koreksi jangka pondok.
Filter Volume: Sinyal ngan dianggap valid lamun volume ngaleuwihan Volume MA 20, pikeun mastikeun yén aya minat pasar anu kuat.
📈 Fitur-Fitur Penting
Manajemén Résiko Anti-Repaint: Tingkat Stop Loss (SL) jeung Take Profit (TP1/TP2) diitung maké ATR pas dina momen sinyal anyar muncul sarta dikunci dina tempatna pikeun mastikeun backtesting anu akurat jeung tracking anu bisa diandelkeun.
Mesin Probabilitas: Masihan skor kualitas (nepi ka 70%) ka unggal sinyal sarta nyadiakeun Kelas Résiko (A, B, C), ngamungkinkeun pangguna pikeun ngutamakeun setup trade anu paling reliable.
UI/UX Canggih: Nampilkeun méja dashboard anu profesional kalayan kode warna anu nembongkeun kaayaan pasar sacara real-time (Tren, Moméntum, Probabilitas), Garis Entry, jeung alesan No-Trade (sapertos EMA Flat, Volume Handap).
Kontrol Visual: Nyadiakeun kontrol pangguna pinuh kana élemén visual, kaasup nembongkeun/nyumputkeun labél sinyal historis (anu ayeuna gaduh opacity 60% anu lemes) jeung garis résiko.
Momentum Burst Pullback System v66* Detects **momentum “bursts”** using:
* **Keltner breakout** (high above upper band for long, low below lower band for short), and/or
* **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign).
* Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst.
* Marks bursts with **K** (Keltner) and **M** (MACD) labels:
* Core burst labels use one color, extension labels use a different color.
* Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context).
* Adds **structure-based invalidation**:
* On a new **core burst**, it locks the most recent **confirmed swing** level (pivot):
* Long: locks the last confirmed **swing low**.
* Short: locks the last confirmed **swing high**.
* After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped).
* Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars:
* Long pullback requires a sequence of **lower highs** and price still below the burst high.
* Short pullback requires **higher lows** and price still above the burst low.
* Optional background shading highlights pullback bars.
* On pullback bars, plots **static TP/SL crosses** using ATR:
* Anchor is the pullback bar’s high (long) or low (short).
* TP/SL are ± ATR * multiple.
* TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme.
* Maintains a **state-machine entry + trailing stop**:
* Sets a “waiting” trigger on pullback.
* Enters when price breaks the trigger (high break for long, low break for short).
* Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP.
* Optionally draws the trailing stop as horizontal line segments.
* Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Fish vs Shark Vote Dashboard (6 Signals)very simple dashboard align with fish and shark market votes 1/5 2/4 etc
CPR + Elliott Wave 3 Combo (Ultra Safe)This will help you to identify the stage of a script. In Elliot wave patter, 3rd wave is the longest length. This will identify the 3rd wave
Colby Cheese VWAP Setup [v2.0]🔧 Core Refactors
• Imbalance function fixed:
• Removed invalid usage.
• Now uses for past bar references.
• Bias checks are handled outside the function with proper series indexing.
• Bias alignment:
• Added and so CHoCH signals only fire when price change agrees with EMA bias.
• Swing reset:
• After a valid CHoCH, and reset to so stale levels don’t keep firing.
• Line/label management:
• CHoCH lines and labels now reuse persistent IDs (, ) instead of spamming new objects every trigger.
✨ New Features
• Anticipation mode:
• Blue “Anticipate” lines/labels drawn when delta + bias align before CHoCH confirmation.
• Helps you see potential setups earlier.
• Entry zone lines:
• Solid green/red lines drawn at entry levels when is enabled.
• Separate from FRVP dashed zones.
• Stop‑loss lines:
• Orange dotted lines drawn opposite the entry zone when is enabled.
• Gives a visual risk marker.
🎨 Visual Consistency
• Candle coloring simplified: white candles only when CHoCH triggers.
• FRVP zones remain dashed lines with “Enter” labels.
• Anticipation zones are blue solid lines.
• Entry zones are solid green/red.
• Stop‑loss lines are orange dotted.
Higher Low /Lower Low S+ Trend shiftThis indicator identifies Higher Lows (HL) and Lower Lows (LL) to help traders visualize trend structure and directional shifts on the chart.
Instead of relying on lagging indicators, it focuses on price structure itself, which is the foundation of trend analysis, swing trading, and risk management.
What the Indicator Shows
Higher Low (HL) – indicates rising demand and potential trend strength
Lower Low (LL) – indicates increasing supply and potential trend weakness
These are detected using confirmed swing structure, ensuring clarity rather than reacting to every minor fluctuation.
Why This Indicator Is Useful
Many traders conceptually understand HL and LL but struggle to:
Identify them consistently
Avoid over-marking noisy swings
Keep structure visible when zooming or adjusting charts
This indicator solves that by:
Marking only meaningful swing points
Keeping markers anchored to price, not screen position
Providing a clean structural view without clutter
It allows traders to see trend health at a glance.
How Traders Commonly Use It
This indicator is commonly used for:
Trend confirmation (series of HLs or LLs)
Early warning of trend weakening or reversal
Defining logical stop-loss levels
Avoiding counter-trend trades
Adding structure context to other setups (breakouts, pullbacks, ORB, momentum)
It works well as a context tool, not a signal generator.
Design Philosophy
Minimal visual footprint
Only structural points are marked
Background shading optionally reflects recent structure direction
No dependency on oscillators or indicators
The goal is to keep price action readable and honest.
Best Use Cases
Swing trading
Trend following
Momentum continuation
Market structure analysis
Suitable for Daily, 4H, 1H, and higher timeframes.
Notes
This is not a buy/sell indicator
No future data is used (non-repainting)
Best used with broader market context and risk management
