Oscillator CandlesticksI've always wondered why we don't use candlesticks for oscillators...then I stopped wondering and made an oscillator with candlesticks.
The following oscillators are available as a proof of concept:
* Consumer Channel Index (CCI)
* Rate of Change (ROC)
* Relative Strength Index (RSI)
* Trend Strength Index (TSI)
You can add a moving average to the ohlc4 value of the oscillator and choose the type of the moving average and whether it should be influenced by volume.
מתנדים ממורכזים
MACD (Buy & Sell signals)This file uses the original code of the MACD and adds a Buy Sell signal when the MACD cuts the signal
LA - MACD EMA BandsOverview of the "LA - MACD EMA Bands" Indicator
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
The "LA - MACD EMA Bands" is a custom technical indicator written in Pine Script v6 for TradingView. It builds on the traditional Moving Average Convergence Divergence (MACD) oscillator by incorporating additional smoothing via Exponential Moving Averages (EMAs) and Bollinger Bands (BB) applied directly to the MACD line. This creates a multi-layered momentum and volatility tool displayed in a separate pane below the price chart (not overlaid on the price itself).
The indicator allows for customization, such as selecting a different timeframe (for multi-timeframe analysis) and adjusting period lengths. It fetches data from the specified timeframe using request.security with lookahead enabled to avoid repainting issues. The core idea is to provide insights into momentum trends, crossovers, and volatility expansions/contractions in the MACD's behavior, making it suitable for identifying potential trend reversals, continuations, or ranging markets.
Unlike a standard MACD, which focuses primarily on momentum via a single line, signal line, and histogram, this version emphasizes longer-term smoothing and volatility boundaries. It uses visual fills between lines to highlight bullish/bearish conditions, aiding quick interpretation. Below, I'll break down each component, its calculation, visual representation, and practical uses.
Detailed Breakdown of Each Component and Its Uses
MACD Line (Blue Line, Labeled 'MACD Line')
Calculation: This is the core MACD value, computed as the difference between a fast EMA (default length 12) and a slow EMA (default length 144) of the input source (default: close price). The EMAs are calculated on data from the selected timeframe.
Visuals: Plotted as a solid blue line.
Uses:
Measures momentum: When above zero, it indicates bullish momentum (prices rising faster in the short term); below zero, bearish momentum.
Trend identification: Rising MACD suggests strengthening uptrends; falling suggests downtrends.
Divergence spotting: Compare with price action—e.g., if price makes higher highs but MACD makes lower highs, it signals potential bearish reversal (and vice versa for bullish divergence).
In trading: Often used for entry/exit signals when crossing the zero line or other lines in the indicator.
MACD EMA (Red Line, Labeled 'MACD EMA')
Calculation: A 12-period EMA applied to the MACD Line itself.
Visuals: Plotted as a solid red line.
Uses:
Acts as a signal line for the MACD, smoothing out short-term noise.
Crossover signals: When the MACD Line crosses above the MACD EMA, it can signal a bullish buy opportunity; crossing below suggests a bearish sell.
Trend confirmation: Helps filter false signals in choppy markets by requiring confirmation from this slower-moving average.
In trading: Useful for momentum-based strategies, like entering trades on crossovers in alignment with the overall trend.
Fill Between MACD Line and MACD EMA (Green/Red Shaded Area, Titled 'MACD Fill')
Calculation: The area between the MACD Line and MACD EMA is filled with color based on their relative positions.
Color Logic: Green (with 57% transparency) if MACD Line > MACD EMA (bullish); red if MACD Line < MACD EMA (bearish).
Visuals: Semi-transparent fill for easy visibility without overwhelming the lines.
Uses:
Quick visual cue for momentum shifts: Green areas highlight bullish phases; red for bearish.
Enhances readability: Makes crossovers more apparent at a glance, especially in fast-moving markets.
In trading: Can be used to time entries/exits or as a filter (e.g., only take long trades in green zones).
Bollinger Bands on MACD (BB Upper: Black Dotted, BB Basis: Maroon Dotted, BB Lower: Black Dotted)
Calculation: Bollinger Bands applied to the MACD Line.
BB Basis: 144-period EMA of the MACD Line.
BB Standard Deviation: 144-period stdev of the MACD Line.
BB Upper: BB Basis + (2.0 * BB Stdev)
BB Lower: BB Basis - (2.0 * BB Stdev)
Visuals: Upper and lower bands as black dotted lines; basis as maroon dotted
Uses:
Volatility measurement: Bands expand during high momentum volatility (strong trends) and contract during low volatility (ranging or consolidation).
Mean reversion: When MACD Line touches or exceeds the upper band, it may signal overbought conditions (potential sell); lower band for oversold (potential buy).
Squeeze detection: Narrow bands (squeeze) often precede big moves—watch for breakouts.
In trading: Combines momentum with volatility; e.g., a MACD Line breakout above the upper band could confirm a strong uptrend.
BB Basis EMA (Green Line, Labeled 'BB Basis EMA')
Calculation: A 72-period EMA applied to the BB Basis (which is already a 144-period EMA of the MACD Line).
Visuals: Solid green line.
Uses:
Further smoothing: Provides a longer-term view of the MACD's average behavior, reducing noise from the BB Basis.
Trend direction: Acts as a baseline for the BB system—above it suggests bullish bias in momentum volatility; below, bearish.
Crossover with BB Basis: Can signal shifts in volatility trends (e.g., BB Basis crossing above BB Basis EMA indicates increasing bullish volatility).
In trading: Useful for confirming longer-term trends or as a filter for BB-based signals.
Fill Between BB Basis and BB Basis EMA (Gray Shaded Area, Titled 'BB Basis Fill')
Calculation: The area between BB Basis and BB Basis EMA is filled.
Color Logic: Currently set to a constant semi-transparent gray regardless of position.
Visuals: Semi-transparent gray fill.
Uses:
Highlights divergence: Shows when the shorter-term BB Basis deviates from its longer-term EMA, indicating potential volatility shifts.
Visual aid for crossovers: Makes it easier to spot when BB Basis crosses its EMA.
In trading: Could be used to identify overextensions in volatility (e.g., wide gray areas might signal impending mean reversion).
Zero Line (Black Horizontal Line)
Calculation: A simple horizontal line at y=0.
Visuals: Solid black line.
Uses:
Reference point: Divides bullish (above) from bearish (below) territory for all MACD-related lines.
In trading: Crossovers of the zero line by the MACD Line or BB Basis can signal major trend changes.
How It Differs from a Normal MACD
A standard MACD (e.g., the built-in TradingView MACD with defaults 12/26/9) consists of:
MACD Line: EMA(12) - EMA(26).
Signal Line: EMA(MACD Line, 9).
Histogram: MACD Line - Signal Line (bars showing convergence/divergence).
Key differences in "LA - MACD EMA Bands":
Periods: Uses a much longer slow EMA (144 vs. 26), making it more sensitive to long-term trends but less reactive to short-term price action. The MACD EMA is 12 periods (vs. 9), further emphasizing smoothing.
No Histogram: Replaces the histogram with fills and bands for visual emphasis on crossovers and volatility.
Added Bollinger Bands: Applies BB directly to the MACD Line (with a long 144-period basis), introducing volatility analysis absent in standard MACD. This helps detect "squeezes" or expansions in momentum.
Additional EMA Layer: The BB Basis EMA (72-period) adds a secondary smoothing level to the BB system, providing a hierarchical view of momentum (short-term MACD → mid-term BB → long-term EMA).
Multi-Timeframe Support: Built-in option for higher timeframes, unlike basic MACD.
Focus: Standard MACD is purely momentum-focused; this version integrates volatility (via BB) and multi-layer smoothing, making it better for trend-following in volatile markets but potentially overwhelming for beginners.
Overall, this indicator transforms the MACD from a simple oscillator into a comprehensive momentum-volatility hybrid, reducing false signals in trending markets but introducing lag.
Overall Pros and Cons
Pros:
Enhanced Visualization: Fills and bands make trends, crossovers, and volatility easier to spot without needing multiple indicators.
Reduced Noise: Longer periods (144, 72) smooth out whipsaws, ideal for swing or position trading in trending assets like stocks or forex.
Volatility Integration: BB adds a dimension not in standard MACD, helping identify breakouts or consolidations.
Customizable: Inputs for timeframes and lengths allow adaptation to different assets/timeframes.
Multi-Layered Insights: Combines short-term signals (MACD crossovers) with long-term confirmation (BB EMA), improving signal reliability.
Cons:
Lagging Nature: Long periods (e.g., 144) delay signals, missing early entries in fast markets or leading to late exits.
Complexity: Multiple lines and fills can clutter the pane, requiring experience to interpret; beginners might misread it.
Potential Overfitting: Custom periods (12/144/12/144/72) may work well on historical data but underperform in live trading without backtesting.
No Built-in Alerts/Signals: Relies on visual interpretation; users must manually set alerts for crossovers.
Resource Intensive: On lower timeframes or with lookahead, it might slow chart loading on Trading View.
This indicator shines in strategies combining momentum and volatility, like trend-following with BB squeezes, but test it on your assets (e.g., via backtesting) to ensure it fits your style.
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
Momentum Variance OscillatorWhat MVO measures:
-PV (Price-Volume) Oscillator – how far price is from a volatility-scaled basis, then weighted by relative volume.
- > 0 = bullish pressure; < 0 = bearish pressure.
-|PV| larger ⇒ stronger momentum.
-Signal line (EMA of PV) – a smoother track of PV; crossings flag momentum shifts.
-Zero line gradient – instantly shows direction (greenish bull / reddish bear) and strength (paler → stronger).
-Extreme bands (±obLevel) – “hot zone” thresholds; being beyond them = exceptional push.
-Variance histogram – MACD-like view (PV minus slower PV-EMA) to see thrust building vs. fading.
-(Optional) Bar coloring & background tint – paints price bars and/or the panel on key events so you can read the regime at a glance.
-Auto-Tune – searches a grid of (obLevel, weakLvl) pairs and (optionally) auto-applies the best, ranked by CAGR vs. drawdown.
Core signals & how to trade them:
1) Define the regime:
-Bullish regime: PV above 0 and/or PV above Signal; zero line is in bull gradient.
-Bearish regime: PV below 0 and/or PV below Signal; zero line is in bear gradient.
-Action: Prefer trades with the regime (avoid fading strong color/strength unless you have a clear reversal setup).
2) Entries:
Momentum entry:
-Long: PV crosses above Signal while PV > 0.
-Short: PV crosses below Signal while PV < 0.
Breakout/acceleration:
-Long add-on: PV crosses above +obLevel (extreme top) and holds.
-Short add-on: PV crosses below −obLevel (extreme bottom) and holds.
-Histogram confirm: Growing bars in your direction = thrust improving; shrinking/flip = thrust stalling.
3) Exits / risk:
-Soft exit / tighten stops: PV loses the extreme and re-enters inside, or histogram fades/turns against you.
-Hard exit / reverse: Opposite PV↔Signal crossover and PV crosses the zero line.
-Weak zone filter: If |PV| < weakLvl, treat signals as lower quality (smaller size or skip).
4) Practical setup - Suggested defaults (good starting point):
-Signal length: 26
-Volume power: 0.50
-obLevel (extreme): 2.00
-weakLvl: 0.75
-Show histogram & dots: On
-Auto-Tune (recommended)
-Turn Auto-Select Best ON. MVO will scan obLevel 1.50→3.00 (step 0.05) and weakLvl 0.50→1.00 (step 0.05), then use the top-ranked pair (CAGR/(1+MDD)).
-If you want to see the top combos, enable the Optimizer Table (Top-3).
5) Visual options
-Bar Colors: Regime+Strength – bars follow the zero-line gradient (great for quick read).
-Extremes – paint only when beyond ±obLevel.
-Cross Signals – paint only on the bar that crosses an extreme.
-Background on breach: A one-bar tint when PV crosses an extreme.
6) Example playbook:
Long setup:
-Zero line shows bull gradient and PV > 0.
-PV crosses above Signal (entry).
-If PV drives above +obLevel, consider add-on; trail under the last minor swing or use ATR.
-Exit/trim on PV crossing below Signal or histogram turning negative; flatten on a drop through 0.
Short setup mirrors the above on the bear side.
7) Tips to avoid common traps:
-Don’t fade strong extremes without clear confirmation (e.g., PV re-entering inside + histogram flip).
-Respect the weak zone: if |PV| < weakLvl, signals are fragile—size down or wait.
-Align with structure: higher-timeframe trend and SR improve expectancy.
-Instrument personality matters: use Auto-Tune or re-calibrate obLevel/weakLvl across assets/timeframes.
8) Alerts you can set:
-Bull Signal X – PV crossed above Signal
-Bear Signal X – PV crossed below Signal
-Bull Baseline X – PV crossed above 0
-Bear Baseline X – PV crossed below 0
Overnight Z/VolRatio SignalThis indicator highlights overnight setups where both volatility expansion and prior-day range deviation suggest directional opportunity at the RTH open.
It calculates:
• Overnight Z-Score (Z_long): how far the overnight session’s range tilts from the 20-day overnight mean, standardized by its standard deviation.
• VolRatio: ratio of the current RTH session volume to the 20-day average, a proxy for participation and conviction.
Signal Logic (LONG bias)
A long-bias condition triggers when:
• Z_long ≥ 0.40 (overnight tilt strongly positive)
• VolRatio ≥ 1.30 (above-average RTH volume)
• Optional filters: R1/R4 region alignment, YDH/YDL proximity, and other context flags.
Visuals mark qualifying days with colored labels and session highlights.
It is intended as a context signal — not an auto-trading system — for SPY/SPX/ES or correlated large-cap indices.
Usage Notes
• Works best when applied to daily or intraday 5m chart with extended hours enabled.
• Typical exit: ~150 minutes after 09:30 ET.
• Fridays are optionally excluded to avoid expiration-related distortions.
MACD Zones (Background Only)Indicator which shows the convergence and divergence zones directly on the graph by highlighting in red (convergence) and green (divergence).
MACD-V+ (ATR Normalized MACD)MACD-V+ is an ATR-normalized MACD tool that focuses on true turning points inside Overbought/Oversold zones. It marks a signal only when the MACD’s slope changes direction and shows real progress back toward the zero line, with an optional dwell (depth & time) filter so you don’t get faked out by shallow pokes into a zone. Clean visuals, “first-in-zone” gating, and configurable labeling make it practical for discretionary and systematic traders alike.
For best results, adjust Overbought and Oversold levels based on stock volatility. The default settings of 150 and -150 are for highly volatile tickers. Reduce for less volatile tickers.
Please help me improve the code for everyone.
LBR Oscillator with Signals & AlertsLinda Bradford Raschke MacD indicator. Has alerts and can be used in the pine screener on different timeframes.
LBR 3/10 'Sardine' Oscillator (ATR-Normalized)LBR 3/10 Oscillator - Short-Term Momentum Indicator
The LBR 3/10 "Sardine" Oscillator is a short-term momentum indicator developed by Linda Bradford Raschke. This ATR-normalized version provides cross-market comparability and consistent extreme levels across all timeframes and asset classes.
What is the LBR 3/10 Oscillator?
The LBR 3/10 is designed to capture very short-term momentum shifts by measuring the difference between a 3-period and 10-period moving average. Named after Linda Bradford Raschke's "Trading Sardines" book, this oscillator excels at identifying rapid momentum changes and potential reversal points.
Formula: / ATR(10) × 100
Where MA can be either Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Why ATR Normalization?
Problem with Traditional Oscillators:
Traditional momentum oscillators produce values that vary dramatically across different markets and time periods. A reading of 5 might be extreme for one asset but insignificant for another.
Solution:
ATR normalization divides the raw momentum value by the Average True Range, creating standardized readings that are:
Comparable Across Markets: Same interpretation whether analyzing stocks, forex, commodities, or crypto
Comparable Across Time: Readings maintain consistent meaning regardless of price levels
Universal Extreme Levels: The ±125 levels work consistently across all assets and timeframes
Statistical Research
Extensive statistical analysis across multiple markets identified the ±125 extreme levels:
+125 Level: Reached approximately 4% of the time (extreme bullish momentum)
-125 Level: Reached approximately 2% of the time (extreme bearish momentum)
These statistically-validated levels provide objective definitions for overbought and oversold conditions, eliminating subjective interpretation.
Key Features
Core Components
LBR 3/10 Line: Main oscillator showing normalized short-term momentum
Signal Line: Smoothed moving average of the oscillator (default: 9-period)
Extreme Levels: Horizontal lines at ±125 marking statistical extremes
Zero Line: Separates bullish and bearish momentum regimes
Visual Elements
Blue Line: LBR 3/10 oscillator (main momentum line)
Red Line: Signal line (smoothed moving average of oscillator)
Fill Area: Light blue shaded region between oscillator and signal line
Background Zones: Light red (overbought above +125) or light green (oversold below -125)
Horizontal Lines: Gray dashed lines at +125, -125, and 0 (zero line solid)
Divergence Markers: Green/red circles marking price/oscillator divergences
Signal Crosses: Small green/red triangles marking oscillator/signal line crossovers
Pullback Markers: Yellow diamond shapes with white "↑PB" or "↓PB" text for first pullback signals
Std Dev Bands: Orange circles marking statistical extreme levels (optional, disabled by default)
Advanced Features
MA Type Selection: Choose between SMA or EMA for both oscillator and signal line
Standard Deviation Bands: Optional adaptive extreme levels based on statistical volatility
Pullback Detection: Identifies high-probability counter-trend entries during established trends
First Pullback Filter: Noise reduction system that highlights initial pullback after trend change
Trading Applications
1. Extreme Level Reversals
When the oscillator reaches ±125, it indicates stretched momentum conditions:
Above +125: Overbought - watch for bearish reversal signals
Below -125: Oversold - watch for bullish reversal signals
2. Signal Line Crossovers
Bullish Cross: Oscillator crosses above signal line (momentum shift up)
Bearish Cross: Oscillator crosses below signal line (momentum shift down)
3. Zero Line Crosses
Signal line crossing zero indicates trend regime changes:
Cross Above 0: Transition to bullish trend
Cross Below 0: Transition to bearish trend
4. Divergence Trading
Bullish Divergence: Price makes lower low, oscillator makes higher low
Bearish Divergence: Price makes higher high, oscillator makes lower high
Best used in combination with other momentum indicators for confirmation
5. Pullback Strategy (High-Probability Setup)
Uptrend Pullback: Signal line positive + oscillator crosses below (buy opportunity)
Downtrend Pullback: Signal line negative + oscillator crosses above (sell opportunity)
First Pullback: Initial counter-trend signal after trend change (highest probability)
6. "Anti" Setup
Linda Bradford Raschke's classic setup:
Wait for extreme reading (±125)
Enter on first pullback signal in opposite direction
Captures momentum exhaustion reversals
Comprehensive Alert System
Extreme Level Alerts
Crossed above +125 (overbought)
Crossed below -125 (oversold)
Divergence Alerts
Bullish divergence detected
Bearish divergence detected
Signal Cross Alerts
Bullish cross (oscillator above signal)
Bearish cross (oscillator below signal)
Trend Change Alerts
Signal line crossed above zero (trend change to bullish)
Signal line crossed below zero (trend change to bearish)
Pullback Alerts
Pullback in uptrend (potential buy)
Pullback in downtrend (potential sell)
FIRST pullback in uptrend (high-probability buy)
FIRST pullback in downtrend (high-probability sell)
Settings & Parameters
LBR 3/10 Settings
Fast MA Length: Short-term period (default: 3)
Slow MA Length: Baseline period (default: 10)
ATR Length: Volatility normalization period (default: 10)
MA Type: SMA or EMA selection
Extreme High Level: Overbought threshold (default: 125)
Extreme Low Level: Oversold threshold (default: -125)
Signal Line
Show Signal Line: Enable/disable display (default: true)
Signal Line Length: Smoothing period (default: 9)
Divergence Detection
Show Divergences: Enable/disable detection (default: true)
Divergence Lookback: Pivot detection period (default: 5)
Standard Deviation Bands
Show Std Dev Bands: Enable/disable adaptive levels (default: false)
Std Dev Multiplier: Band width adjustment (default: 1.5)
Std Dev Length: Calculation period (default: 100)
Best Practices
Trending Markets
Focus on pullback signals in direction of trend
Use first pullback filter for highest-probability entries
Watch for extreme levels as profit-taking zones
Ranging Markets
Trade reversals at extreme levels (±125)
Use divergences with additional momentum indicator confirmation
Avoid signal line crosses near zero (low-quality signals)
Multi-Timeframe Analysis
Higher timeframe: Identify trend direction (signal line above/below zero)
Lower timeframe: Time precise entries using pullback signals
Confirmation: Use additional momentum indicators for signal validation
Risk Management
Reduce position size at extreme levels (increased reversal risk)
Use ATR-based stops (e.g., 2× ATR from entry)
Exit on opposite extreme level or signal line zero cross
Chart Legend - Visual Signal Guide
Lines and Fills
🔵 Blue Line: LBR 3/10 oscillator value
🔴 Red Line: Signal line (9-period MA of oscillator)
💠 Light Blue Fill: Area between oscillator and signal line (visual momentum gauge)
Background Colors
🟥 Light Red Background: Extreme overbought zone (LBR > +125)
🟩 Light Green Background: Extreme oversold zone (LBR < -125)
Horizontal Reference Lines
➖ +125 (Gray Dashed): Overbought extreme level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -125 (Gray Dashed): Oversold extreme level
Signal Markers
🟢 Green Circle: Bullish divergence detected (price lower low, oscillator higher low)
🔴 Red Circle: Bearish divergence detected (price higher high, oscillator lower high)
▲ Green Triangle Up: Bullish signal cross (oscillator crosses above signal line)
▼ Red Triangle Down: Bearish signal cross (oscillator crosses below signal line)
Yellow Diamond "↑PB": First pullback in uptrend (high-probability buy setup)
Yellow Diamond "↓PB": First pullback in downtrend (high-probability sell setup)
Combining with MACD-V+ Indicator
LBR 3/10 and MACD-V+ work together as a powerful two-timeframe momentum system:
Indicator Roles
MACD-V+: Strategic direction (12-26 period) - identifies market regime and lifecycle state
LBR 3/10: Tactical timing (3-10 period) - pinpoints precise entry and exit moments
Key Principles
Strategic Filter: MACD-V+ determines IF you should trade (market regime)
Tactical Timing: LBR 3/10 determines WHEN to enter (precise timing)
Confirmation Reduces Risk: Trade only when both indicators agree
Respect Lifecycle Changes: Exit when MACD-V+ state changes against your position
Methodology
The LBR 3/10 indicator implements statistical analysis and volatility normalization techniques to create a universal short-term momentum tool. This approach enables consistent interpretation across all markets and timeframes.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical extreme level validation (±125 levels)
Noise reduction through first pullback filtering
Dual MA type support (SMA/EMA) for flexibility
Standard deviation bands for adaptive threshold levels
LBR 3/10 provides traders with a precise tool for short-term momentum analysis and tactical entry timing. Combined with proper risk management and multi-timeframe analysis, it offers objective signals for both trend-following and reversal trading strategies.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
MACD-V+MACD-V+ Indicator - Advanced Momentum Analysis
The MACD-V+ indicator is an enhanced version of the volatility-normalized MACD methodology developed by Alex Spiroglou. This approach addresses critical limitations of traditional MACD through ATR-based volatility normalization, providing comparable values across time and markets.
What is MACD-V?
MACD-V applies Average True Range (ATR) normalization to traditional MACD, creating a universal momentum indicator that works consistently across all markets and timeframes. The methodology was developed through extensive statistical research analyzing multiple markets and timeframes.
Formula: × 100
This normalization transforms MACD from price-dependent values into standardized momentum readings.
Traditional MACD Limitations
Limitation 1: Non-Comparable Values Across Time
Traditional MACD values cannot be compared across different time periods due to varying price levels. S&P 500 maximum MACD was 1.56 in 1957-1971, but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum, but simply different price scales.
Solution: MACD-V provides comparable historical values where a reading of 100 today has the same mathematical meaning as 100 in any previous period.
Limitation 2: Non-Comparable Across Markets
Traditional MACD cannot compare momentum between different assets. S&P 500 MACD of 65 versus EUR/USD MACD of -0.5 reflects price differences, not relative strength.
Solution: MACD-V creates universal levels that work across all markets. The ±150 extreme levels apply consistently whether analyzing stocks, bonds, commodities, or currencies.
Limitation 3: No Objective Momentum System
Traditional MACD lacks universal overbought or oversold level definitions, making systematic analysis difficult.
Solution: MACD-V provides an objective 7-stage momentum lifecycle system with clearly defined zones and state transitions.
Limitation 4: Signal Line False Signals
In low momentum environments, traditional MACD generates multiple false signals as the line oscillates near zero.
Solution: MACD-V filters signal quality by identifying neutral zones (-50 to +50) where signal reliability is lower.
Limitation 5: Signal Line Timing Lag
During extreme momentum, traditional MACD signal line lags significantly due to large separation from the MACD line.
Solution: MACD-V anticipates timing issues in extreme momentum environments (±150) through zone-based analysis and lifecycle states.
Universal Application
MACD-V+ works across:
Individual Stocks
Forex Pairs
Commodity Futures
Cryptocurrencies
All Timeframes
Key Features
Zone System
Overbought Zone: Above +150 (extreme bullish momentum)
Rally Zone: +50 to +150 (strong bullish momentum)
Ranging Zone: -50 to +50 (neutral/low momentum)
Rebound Zone: -50 to -150 (strong bearish momentum)
Oversold Zone: Below -150 (extreme bearish momentum)
7-Stage Lifecycle States
Ranging: Neutral momentum in -50 to +50 zone
Rallying: Rally zone + MACD above Signal + rising momentum
Overbought: Extreme zone above +150
Retracing: Rally zone + MACD below Signal (pullback from overbought)
Reversing: Rebound zone + MACD below Signal + falling momentum
Oversold: Extreme zone below -150
Rebounding: Rebound zone + MACD above Signal (recovery from oversold)
Visual Status Display
Real-Time State Table: Shows current lifecycle state name
Color-Coded States: Blue (Rallying/Rebounding), Red (Overbought/Oversold), Orange (Retracing/Reversing), Gray (Ranging)
Strength Multiplier: Live histogram strength indicator (e.g., "x 1.45")
Enhanced Features (Plus)
Absolute Histogram MA: ATR-length moving average of absolute histogram values for strength measurement
Direction-Aware Display: MA line follows histogram sign (positive above 0, negative below 0)
Strength Multiplier: Current momentum vs. average strength ratio (always positive value)
Histogram Extreme Levels: Short-term overbought/oversold (±40) for pullback detection
Chart Legend - Visual Signal Guide
Lines and Histogram
🔵 Blue Line: MACD-V value (ATR-normalized momentum)
🟠 Orange Line: Signal line (9-period EMA of MACD-V)
📊 Histogram Bars: MACD-V minus Signal line (momentum differential)
Histogram Colors: Green shades (positive momentum), Red shades (negative momentum)
🟡 Yellow Line: Dynamic MA of absolute histogram values (follows histogram sign)
Background Colors
🟥 Light Red Background: Extreme overbought zone (MACD-V > +150)
🟩 Light Green Background: Extreme oversold zone (MACD-V < -150)
Horizontal Reference Lines
➖ +150 (Gray Dashed): Overbought extreme level
➖ +50 (Gray Dashed): Rally zone entry level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -50 (Gray Dashed): Rebound zone entry level
➖ -150 (Gray Dashed): Oversold extreme level
Optional Histogram Levels
➖ +40 (Yellow Dashed): Histogram short-term overbought
➖ -40 (Yellow Dashed): Histogram short-term oversold
Status Table
📋 Top-Center Table: Current lifecycle state display
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Histogram Warning: Short-term overbought/oversold alerts (±40 levels)
State Label
📊 Label at MACD/Signal Midpoint: Current lifecycle state with strength analysis
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Strength Multiplier Interpretation:
- Strong acceleration (>1.75): Powerful momentum, trend continuation likely
- Moderate progression (1.25-1.75): Normal trend strength
- Trend continuation (0.75-1.25): Stable momentum near average
- Watch for reversal (0.25-0.75): Weakening momentum
- Trend exhaustion (<0.25): Very weak momentum, reversal possible
Trading Applications
1. Lifecycle State Trading
Enter Long: When state changes to "RALLYING" (strong bullish momentum established)
Enter Short: When state changes to "REVERSING" (strong bearish momentum established)
Exit/Reduce: When state reaches "OVERBOUGHT" or "OVERSOLD" (extreme levels)
Avoid Trading: When state is "RANGING" (low momentum, unreliable signals)
2. Zone-Based Trading
Rally Zone (+50 to +150): Look for pullback entries (histogram dips)
Rebound Zone (-50 to -150): Look for bounce entries (histogram rises)
Extreme Zones (±150+): Prepare for reversal or take profits
Ranging Zone (-50 to +50): Wait for breakout confirmation
3. Signal Line Crossovers
Bullish Cross: MACD-V crosses above Signal line (momentum shift up)
Bearish Cross: MACD-V crosses below Signal line (momentum shift down)
Quality Filter: Trust crossovers in Rally/Rebound zones, ignore in Ranging zone
4. Zero Line Crosses
Cross Above 0: Transition to bullish regime
Cross Below 0: Transition to bearish regime
Trend Confirmation: Strong trends keep MACD-V on same side of zero
5. Histogram Extreme Strategy
Above +40: Short-term overbought - potential pullback
Below -40: Short-term oversold - potential bounce
Use with Trend: Buy dips to -40 in uptrend, sell rallies to +40 in downtrend
6. Strength Multiplier Analysis
> 1.75: Strong acceleration - powerful momentum, trend continuation highly likely
1.25 to 1.75: Moderate progression - normal healthy trend strength
0.75 to 1.25: Trend continuation - stable momentum near average strength
0.25 to 0.75: Watch for reversal - momentum weakening significantly
< 0.25: Trend exhaustion - very weak momentum, reversal possible
Comprehensive Alert System
Lifecycle State Change Alerts
Range Entered (low momentum warning)
Rally Started (bullish momentum established)
Overbought Reached (extreme bullish level)
Overbought Exit (leaving extreme zone)
Retracing Started (pullback from overbought)
Reversal Started (bearish momentum established)
Oversold Reached (extreme bearish level)
Oversold Exit (leaving extreme zone)
Rebounding Started (recovery from oversold)
Alert Builder Integration
Binary outputs (1/0) for external alert systems:
Individual state flags for each of 7 lifecycle states
Strength multiplier value for programmatic trend assessment
Settings & Parameters
MACD Configuration
MACD Fast: Fast EMA period (default: 12)
MACD Slow: Slow EMA period (default: 26)
Signal Line: Signal smoothing period (default: 9)
Source: Price source (default: Close)
Zone Boundaries
Overbought: Extreme bullish level (default: 150)
Oversold: Extreme bearish level (default: -150)
Rally: Strong bullish zone entry (default: 50)
Rebound: Strong bearish zone entry (default: -50)
Histogram Bounds
Histogram OB: Short-term overbought (default: 40)
Histogram OS: Short-term oversold (default: -40)
Trend Filters
MA Type: Histogram strength MA calculation method (None / SMA / EMA)
Show Elder Impulse Plus: Bar color system based on EMA(13) + histogram direction
200 EMA trend: Trend Filter v1 - Bull/Bear classification (adaptive MACD-V levels)
50/200 EMA 6-stage: Trend Filter v2 - Chuck Dukas Diamond 6-stage market classification
Best Practices
Trending Markets
Focus on "RALLYING" or "REVERSING" states for entries
Use histogram pullbacks (±40) for position additions
Monitor strength multiplier - exit if drops below 0.25
Take profits in extreme zones (±150+)
Yellow MA crossing histogram warns of momentum shift
Ranging Markets
Avoid trading when state is "RANGING"
Wait for clear zone entry (Rally/Rebound zone)
Use shorter timeframes for precision
Reduce position sizes due to lower reliability
Multi-Timeframe Analysis
Higher timeframe: Identify market regime (lifecycle state)
Lower timeframe: Time precise entries (histogram pullbacks)
Alignment: Trade only when both timeframes agree on direction
Risk Management
Reduce position size in extreme zones (±150+)
Use lifecycle state changes for stop-loss placement
Scale out of positions when strength multiplier < 0.25
Avoid counter-trend trades in strong states (RALLYING/REVERSING)
Watch yellow MA - when it crosses below histogram absolute value, momentum weakening
Combining with LBR 3/10-V Indicator
MACD-V+ and LBR 3/10-V create a powerful two-timeframe momentum system for strategic direction and tactical timing.
Strategic Filter: MACD-V+ determines WHETHER to trade (market regime)
Tactical Precision: LBR 3/10-V determines WHEN to enter (timing)
Double Confirmation: Both indicators must agree on direction
Lifecycle Management: Exit when MACD-V+ state changes
Strength Validation: Use MACD-V+ multiplier for position sizing
Extreme Respect: Both hitting extremes = high reversal probability
Methodology
MACD-V methodology is based on volatility normalization using Average True Range (ATR). This approach transforms traditional MACD into a universal momentum indicator with statistically-validated zones and objectively-defined states.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical analysis for universal zone definitions (±150, ±50)
Lifecycle state system for objective trend identification
Absolute histogram MA with direction-aware visualization (ATR-length period)
Strength multiplier: ratio of current to average absolute momentum (always positive)
Dynamic status table adapting to active trend filters
MACD-V+ transforms momentum analysis from subjective interpretation into objective, quantifiable measurements. Combined with LBR 3/10-V for tactical timing, it provides a complete framework for systematic trading across all financial markets and timeframes.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
RSI with Dynamic Overbought/Oversold Levels [SwissAlgo]RSI with Dynamic Overbought/Oversold Levels
RSI indicator with adaptive overbought/oversold levels based on percentile analysis instead of fixed thresholds 30/70.
----------------------------------------------------------------
OVERVIEW
Traditional RSI uses static 30/70 levels that may fail to adapt to changing market conditions. This indicator calculates dynamic overbought/oversold zones based on recent price behavior, providing context-aware signals across dynamic volatility regimes.
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KEY FEATURES
Dynamic percentile bands (98th, 95th, 90th, 10th, 5th, 2nd) that automatically adjust to current market volatility
Color-coded RSI line: red when above 98th percentile (extreme overbought), green when below 2nd percentile (extreme oversold), purple otherwise
Highlighted extreme zones with subtle background fills for easy visual identification
Adjustable responsiveness: Fast (50 bars), Medium (100 bars), or Slow (200 bars) for different trading styles and timeframes
Optional smoothing MA with multiple types: SMA, EMA, RMA, WMA, VWMA
Built-in alerts for extreme overbought/oversold conditions
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HOW IT WORKS
The indicator tracks RSI values over a rolling window and calculates percentile ranks. When RSI reaches its 98th percentile, it means current momentum is stronger than 98% of recent readings — signaling a potentially extreme overbought condition relative to recent behavior, not just an arbitrary fixed level.
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USAGE
Watch for RSI entering colored extreme zones (red/green fills) for potential exhaustion signals
Use the 90th/10th percentile bands as early warning levels
Combine with price action, support/resistance, or other indicators and your own analysis for confirmation
Adjust responsiveness based on your timeframe
----------------------------------------------------------------
SETTINGS
RSI Length: Standard 14-period default, adjustable
RSI Source: Close price default, customizable
Responsiveness: Choose how quickly percentile bands adapt to new data
Smoothing: Optional moving average overlay on RSI
Show Percentile Bands: Toggle visibility of dynamic levels
----------------------------------------------------------------
ALERTS
Two alert conditions are available:
RSI Extreme Overbought (crosses above 98th percentile)
RSI Extreme Oversold (crosses below 2nd percentile)
----------------------------------------------------------------
NOTES
Percentile levels recalculate as new data arrives, providing adaptive context rather than fixed historical values. This is intentional; the indicator shows where RSI stands relative to recent market behavior, not potentially outdated static thresholds.
----------------------------------------------------------------
LIMITATIONS & DISCLAIMER
PERCENTILE RECALCULATION
This indicator uses rolling percentile calculations that update as new price data arrives. Historical percentile levels may shift slightly as the lookback window moves forward . This is by design; the indicator provides context relative to recent market behavior, not static historical thresholds. Users should be aware that backtest results may differ slightly from real-time performance due to this adaptive nature.
NO PREDICTIVE CLAIMS
This indicator identifies when RSI reaches extreme levels relative to recent history. It does NOT predict future price movements, guarantee reversals, or provide trading signals. Extreme overbought/oversold conditions can persist during strong trends, price may continue moving in the same direction even after entering extreme zones.
ALERT TIMING
Alerts trigger when RSI crosses percentile thresholds on bar close. In fast-moving markets, significant price movement may occur between alert generation and user response. Always confirm conditions and DYOR before taking action.
NOT FINANCIAL ADVICE
This tool is for informational and educational purposes only. It does not constitute financial, investment, or trading advice. Past performance of any trading system or methodology is not indicative of future results. Trading involves substantial risk of loss and is not suitable for all investors.
USER RESPONSIBILITY
Users are solely responsible for their trading decisions. Always conduct your own analysis, implement proper risk management, and never risk more than you can afford to lose. Test thoroughly on paper/demo accounts before live trading.
NO WARRANTIES
This indicator is provided "as is" without warranties of any kind. The author assumes no responsibility for trading losses, technical errors, or any damages resulting from the use of this indicator.
Natural Gas Intraday Strategy [15m] with Partial Profit & TrailBuy when:
1. Close > EMA 100 and EMA 20 > EMA 100
2. MACD (8,21,5) > Signal and histogram rising
3. RSI > 60
4. ATR > threshold (avoid flat market)
Sell when:
1. Close < EMA 100 and EMA 20 < EMA 100
2. MACD (8,21,5) < Signal and histogram falling
3. RSI < 40
4. ATR > threshold
Exit:
• SL = recent swing ± 0.5 ATR
• TP1 = 1 ATR, trail rest with EMA 20
Commodity Channel Index (CCI)An indicator with increased convenience and customization options. Effective for scalping.
VWAP Trio: Continuous + London-anchored + NY-anchoredThis indicator plots three different VWAPs at once so you can see how price behaves against:
Continuous VWAP
Starts from the beginning of the whole chart / instrument history and keeps going.
Acts like a long-term “fair value” line.
London-anchored VWAP
Resets (anchors) at the London session open (usually 08:00 London).
Shows the average price paid during the current London session.
Day traders use it to see if price is trending or mean-reverting during the EU morning.
NY-anchored VWAP
Resets at the New York session open (usually 08:00 NY / 13:00–14:30 London depending on DST).
Shows the average price for the U.S. session.
MACD Forecast [Titans_Invest]MACD Forecast — The Future of MACD in Trading
The MACD has always been one of the most powerful tools in technical analysis.
But what if you could see where it’s going, instead of just reacting to what has already happened?
Introducing MACD Forecast — the natural evolution of the MACD Full , now taken to the next level. It’s the world’s first MACD designed not only to analyze the present but also to predict the future behavior of momentum.
By combining the classic MACD structure with projections powered by Linear Regression, this indicator gives traders an anticipatory, predictive view, redefining what’s possible in technical analysis.
Forget lagging indicators.
This is the smartest, most advanced, and most accurate MACD ever created.
🍟 WHY MACD FORECAST IS REVOLUTIONARY
Unlike the traditional MACD, which only reflects current and past price dynamics, the MACD Forecast uses regression-based projection models to anticipate where the MACD line, signal line, and histogram are heading.
This means traders can:
• See MACD crossovers before they happen.
• Spot trend reversals earlier than most.
• Gain an unprecedented timing advantage in both discretionary and automated trading.
In other words: this indicator lets you trade ahead of time.
🔮 FORECAST ENGINE — POWERED BY LINEAR REGRESSION
At its core, the MACD Forecast integrates Linear Regression (ta.linreg) to project the MACD’s future behavior with exceptional accuracy.
Projection Modes:
• Flat Projection: Assumes trend continuity at the current level.
• LinReg Projection: Applies linear regression across N periods to mathematically forecast momentum shifts.
This dual system offers both a conservative and adaptive view of market direction.
📐 ACCURACY WITH FULL CUSTOMIZATION
Just like the MACD Full, this new version comes with 20 customizable buy-entry conditions and 20 sell-entry conditions — now enhanced with forecast-based rules that anticipate crossovers and trend reversals.
You’re not just reacting — you’re strategizing ahead of time.
⯁ HOW TO USE MACD FORECAST❓
The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities.
Step 1 — Spot Predicted Crossovers:
Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move.
Step 2 — Confirm with Histogram Projection:
Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions.
Step 3 — Combine with Multi-Timeframe Analysis:
Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast).
Step 4 — Set Entry Conditions & Automation:
Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts.
Step 5 — Trade Ahead of the Market:
By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders.
🤖 BUILT FOR AUTOMATION AND BOTS 🤖
Whether for manual trading, quantitative strategies, or advanced algorithms, the MACD Forecast was designed to integrate seamlessly with automated systems.
With predictive logic at its core, your strategies can finally react to what’s coming, not just what already happened.
🥇 WHY THIS INDICATOR IS UNIQUE 🥇
• World’s first MACD with Linear Regression Forecasting
• Predictive Crossovers (before they appear on the chart)
• Maximum flexibility with Long & Short combinations — 20+ fully configurable conditions for tailor-made strategies
• Fully automatable for quantitative systems and advanced bots
This isn’t just an update.
It’s the final evolution of the MACD.
______________________________________________________
🔹 CONDITIONS TO BUY 📈
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 MACD > Signal Smoothing
🔹 MACD < Signal Smoothing
🔹 Histogram > 0
🔹 Histogram < 0
🔹 Histogram Positive
🔹 Histogram Negative
🔹 MACD > 0
🔹 MACD < 0
🔹 Signal > 0
🔹 Signal < 0
🔹 MACD > Histogram
🔹 MACD < Histogram
🔹 Signal > Histogram
🔹 Signal < Histogram
🔹 MACD (Crossover) Signal
🔹 MACD (Crossunder) Signal
🔹 MACD (Crossover) 0
🔹 MACD (Crossunder) 0
🔹 Signal (Crossover) 0
🔹 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
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______________________________________________________
🔸 CONDITIONS TO SELL 📉
______________________________________________________
• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 MACD > Signal Smoothing
🔸 MACD < Signal Smoothing
🔸 Histogram > 0
🔸 Histogram < 0
🔸 Histogram Positive
🔸 Histogram Negative
🔸 MACD > 0
🔸 MACD < 0
🔸 Signal > 0
🔸 Signal < 0
🔸 MACD > Histogram
🔸 MACD < Histogram
🔸 Signal > Histogram
🔸 Signal < Histogram
🔸 MACD (Crossover) Signal
🔸 MACD (Crossunder) Signal
🔸 MACD (Crossover) 0
🔸 MACD (Crossunder) 0
🔸 Signal (Crossover) 0
🔸 Signal (Crossunder) 0
🔮 MACD (Crossover) Signal Forecast
🔮 MACD (Crossunder) Signal Forecast
______________________________________________________
______________________________________________________
🔮 Linear Regression Function 🔮
______________________________________________________
• Our indicator includes MACD forecasts powered by linear regression.
Forecast Types:
• Flat: Assumes prices will stay the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset : Offset.
• return: Linear regression curve.
______________________________________________________
______________________________________________________
⯁ UNIQUE FEATURES
______________________________________________________
Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
______________________________________________________
📜 SCRIPT : MACD Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
______________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
🎗️ In memory of João Guilherme — your light will live on forever.
3CRGANG - SESSIONSOverview
The "3CRGANG - SESSIONS" indicator is a comprehensive tool for visualizing and monitoring major global trading sessions on TradingView charts. It highlights sessions for key exchanges—New York (NYSE), London (LSE), Frankfurt (FSE), Sydney (ASX), Tokyo (TSE), and Hong Kong (HKSE)—with customizable alerts, background coloring on low timeframes, and an interactive dashboard table. Designed for traders who operate across timezones or need session-based context, it accounts for holidays, half-days, and daylight saving time (DST) adjustments to provide accurate, real-time session status. On charts of 1-minute or lower, it overlays semi-transparent background colors to mark active sessions visually. Across all timeframes, a compact table at the bottom center displays session cells with dynamic coloring, and hovering over each reveals a tooltip with the weekly schedule, time until open/close, and holiday notes.
Built on Pine Script v6, this overlay indicator enhances situational awareness for forex, stocks, futures, and other assets by syncing with exchange-specific calendars. Its invite-only status ensures access to refined features that go beyond standard session tools, making it ideal for multi-market strategies.
How It's Built: Core Concepts and Calculations
The indicator leverages a modular approach to session detection, drawing from time-based logic for precision. Sessions are defined by fixed start/end times in their native timezones (e.g., NYSE: 0930-1600 America/New_York), adjusted dynamically for DST via timezone-aware functions. Key components include:
Session Activation Checks: Using helper functions like f_isSessionActive, it evaluates if the current bar or real-time timestamp falls within session hours, excluding weekends. Time is broken into minutes since midnight for comparisons, with special handling for overnight sessions (though none here cross midnight significantly).
Holiday and Half-Day Integration: Pre-loaded holiday maps for each exchange detect full closures or early closes (e.g., NYSE half-days end at custom times like 1300). If a half-day is identified, session end times are overridden, and pre-close periods recalculated (e.g., 30/5 minutes before adjusted close).
Pre-Open/Pre-Close Detection: Sub-sessions (e.g., 30 minutes before open) use similar logic to flag impending events, triggering only on the first bar of these windows via f_SessionOpen and f_SessionClose for efficiency.
Timestamp Calculations: Functions like f_SessionTimes and f_SessionTimesForTooltip compute open/close timestamps from timenow, adjusting for next trading day if after close or on weekends/holidays. This ensures forward-looking accuracy in tooltips.
Alert System: Configurable per-session, it fires notifications for pre-open (30/5 min), open, pre-close (30/5 min), close, and holidays. Alerts use alert.freq_once_per_bar to avoid spam, gated by market open status.
Visual Dashboard: A 6-column table is drawn with table.new, positioned via input (default bottom-center). Cells update colors based on state: active (session color at 75% opacity), pre-active (yellow), or inactive (gray). Tooltips via f_getSessionTooltip compile weekly schedules using f_formatScheduleEntry, which converts session times to user timezone, formats dates (DD/MM), weekdays (padded for alignment), and notes holidays/early closes. Time remaining uses f_formatTimeRemainingtooltip for human-readable countdowns (e.g., "1h:30m").
Background Coloring: On ≤1m timeframes, bgcolor applies session-specific hues (e.g., green for NYSE) at 90-95% transparency, configurable via light/dark themes.
User Customization: Inputs handle timezone (90+ options with DST), time format (standard/military, though not fully implemented in script), device (adjusts text padding/sizes), and theme (swaps colors for readability).
This setup combines timestamp arithmetic, conditional mapping, and array-based date iteration to create a robust, adaptive system that respects global market nuances without relying on simplistic built-in session strings.
Why It's Useful
Trading sessions drive liquidity, volatility, and price action—e.g., London open often sparks trends in forex, while NYSE influences equities. This indicator demystifies these by providing at-a-glance visuals and alerts, reducing the need for manual timezone conversions or external calendars. Background colors on low TFs help spot session overlaps (e.g., London/NY for high volume), while the table's tooltips offer quick weekly overviews, ideal for planning around holidays like Lunar New Year (HKSE-specific additions). Alerts prevent missing key events, and holiday detection avoids false expectations during closures.
For global traders, it minimizes errors in multi-asset setups; scalpers benefit from pre-open warnings, while swing traders use schedules for longer-term context. Its non-intrusive design (transparent on higher TFs) keeps charts clean, enhancing overall workflow efficiency.
How to Use It
Add to Chart: Access via invite-only on TradingView; apply to any timeframe, best on intraday for backgrounds or any for the dashboard.
Configure Inputs:
Time Settings: Select your timezone (e.g., UTC+3 Jerusalem) for accurate tooltip conversions; choose time format (standard preferred for readability).
Visualization Setup: Pick device (Desktop/Tablet/Mobile) for optimized text sizing/padding; select Light/Dark theme to match your chart.
Sessions Dashboard: Adjust table position if needed (default bottom-center).
Notifications Settings: Toggle alerts per exchange (e.g., enable NYSE for US focus).
Trading Application:
Visual Cues: On ≤1m charts, watch for color changes to enter/exit during active sessions. Hover table cells for schedules—current day highlighted, future/past separated, holidays marked (*).
Alerts: Set up in TradingView's alert manager for "alert() function calls only" to get notifications like "New York Session is about to Open in less than 5 minutes!"
Strategies: Use pre-open for setups (e.g., range breaks), closes for profit-taking. Combine with volume indicators during overlaps.
Best Practices: Test on demo; adjust alerts to avoid overload. For non-realtime, tooltips use current date for projections.
Why It's Unique and Worth Invite-Only Access
Unlike basic session highlighters that use rigid time strings or ignore holidays, this indicator integrates a custom holiday library with half-day adjustments and additional events (e.g., Buddha's Birthday for HKSE), ensuring precision across exchanges. Its tooltip system—generating timezone-converted weekly schedules with day adjustments, countdowns, and holiday notes—provides unmatched planning utility, while adaptive visuals (device/theme-aware) and granular alerts (pre-events included) elevate it beyond public tools. The logic for timestamp forward-projection, weekend skipping, and formatted entries builds on but significantly enhances built-in functions and educational examples.
This originality—protecting the proprietary blend of global calendar handling, alert gating, and interactive dashboards—justifies closed-source status. As invite-only, it delivers premium value through reliable, low-maintenance features that free traders from external apps, warranting access for those seeking an edge in session-based trading. Contact via TradingView for support.
Disclaimer
This indicator is a tool for analyzing market sessions and does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
CCI PKTELUGUTRADERThe Commodity Channel Index (CCI) is a momentum oscillator that helps traders identify potential buy and sell opportunities by measuring how far the price of a security deviates from its average price over a specific period. It’s widely used for spotting new trends, overbought and oversold conditions, and possible price reversals in various financial markets.
Description of CCI
The CCI calculates the difference between the current price and its historical average price, normalized by mean deviation. Unlike indicators such as RSI, the CCI is an unbounded oscillator, meaning its values can go above +100 or below -100, providing broader insights into momentum shifts in prices.
The formula for CCI is:
CCI
=
Typical Price
−
SMA of Typical Price
0.015
×
Mean Deviation
CCI=
0.015×Mean Deviation
Typical Price−SMA of Typical Price
where:
Typical Price = (High + Low + Close) / 3
SMA is the Simple Moving Average of the Typical Price over the chosen period
Mean Deviation is the average deviation from the SMA.
Buy and Sell Signals
A buy signal is typically generated when the CCI moves above +100, indicating the start of a strong uptrend.
A sell signal occurs when the CCI drops below -100, signaling a strong downtrend.
Many traders close their buy positions when the CCI falls back below +100 and close their sell positions when it rises above -100, or use price action confirmation to validate signals.
Values above +100 suggest overbought conditions, while below -100 indicate oversold; extreme values (like +200 or -200) suggest even stronger momentum.
CCI divergences (price moves not confirmed by the indicator) may indicate potential reversals.
Summary Table: CCI Signals
CCI Level Market Condition Potential Action
Above +100 Overbought/Uptrend Consider Buying
Below -100 Oversold/Downtrend Consider Selling
Back between -100 and +100 Neutral/Indecision Exit or Wait
The CCI is best used alongside other technical indicators for confirmation, as it can generate false signals during sideways markets.
References:
Guide to Commodity Channel Index
What Is CCI?
CCI Trading Strategies
CCI: Technical Indicator
Commodity channel index
MAMA-MACD [DCAUT]█ MAMA-MACD
📊 ORIGINALITY & INNOVATION
The MAMA-MACD represents an important advancement over traditional MACD implementations by replacing the fixed exponential moving averages with Mesa Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA). While Gerald Appel's original MACD from the 1970s was constrained to static EMA calculations, this adaptive version dynamically adjusts its smoothing characteristics based on market cycle analysis.
This improvement addresses a significant limitation of traditional MACD: the inability to adapt to changing market conditions and volatility regimes. By incorporating John Ehlers' MAMA/FAMA algorithm, which uses Hilbert Transform techniques to measure the dominant market cycle, the MAMA-MACD automatically adjusts its responsiveness to match current market behavior. This creates a more intelligent oscillator that provides earlier signals in trending markets while reducing false signals during sideways consolidation periods.
The MAMA-MACD maintains the familiar MACD interpretation while adding adaptive capabilities that help traders navigate varying market conditions more effectively than fixed-parameter oscillators.
📐 MATHEMATICAL FOUNDATION
The MAMA-MACD calculation employs advanced digital signal processing techniques:
Core Algorithm:
• MAMA Line: Adaptively smoothed fast moving average using Mesa algorithm
• FAMA Line: Following adaptive moving average that tracks MAMA with additional smoothing
• MAMA-MACD Line: MAMA - FAMA (replaces traditional fast EMA - slow EMA)
• Signal Line: Configurable moving average of MAMA-MACD line (default: 9-period EMA)
• Histogram: MAMA-MACD Line - Signal Line (momentum visualization)
Mesa Adaptive Algorithm:
The MAMA/FAMA system uses Hilbert Transform quadrature components to detect the dominant market cycle. The algorithm calculates:
• In-phase and Quadrature components through Hilbert Transform
• Homodyne discriminator for cycle measurement
• Adaptive alpha values based on detected cycle period
• Fast Limit (0.1 default): Maximum adaptation rate for MAMA
• Slow Limit (0.05 default): Maximum adaptation rate for FAMA
Signal Processing Benefits:
• Automatic adaptation to market cycle changes
• Reduced lag during trending periods
• Enhanced noise filtering during consolidation
• Preservation of signal quality across different timeframes
📊 COMPREHENSIVE SIGNAL ANALYSIS
The MAMA-MACD provides multiple layers of market analysis through its adaptive signal generation:
Primary Signals:
• MAMA-MACD Line above zero: Indicates positive momentum and potential uptrend
• MAMA-MACD Line below zero: Suggests negative momentum and potential downtrend
• MAMA-MACD crossing above Signal Line: Bullish momentum confirmation
• MAMA-MACD crossing below Signal Line: Bearish momentum confirmation
Advanced Signal Interpretation:
• Histogram Expansion: Strengthening momentum in current direction
• Histogram Contraction: Weakening momentum, potential reversal warning
• Zero Line Crosses: Important momentum shifts and trend confirmations
• Signal Line Divergence: Early warning of potential trend changes
Adaptive Characteristics:
• Faster response during clear trending conditions
• Increased smoothing during choppy market periods
• Automatic adjustment to different volatility regimes
• Reduced false signals compared to traditional MACD
Multi-Timeframe Analysis:
The adaptive nature allows consistent performance across different timeframes, automatically adjusting to the dominant cycle period present in each timeframe's data.
🎯 STRATEGIC APPLICATIONS
The MAMA-MACD serves multiple strategic functions in comprehensive trading systems:
Trend Analysis Applications:
• Trend Confirmation: Use zero line crosses to confirm trend direction changes
• Momentum Assessment: Monitor histogram patterns for momentum strength evaluation
• Cycle-Based Analysis: Leverage adaptive properties for cycle-aware market timing
• Multi-Timeframe Alignment: Coordinate signals across different time horizons
Entry and Exit Strategies:
• Bullish Entry: MAMA-MACD crosses above signal line with histogram turning positive
• Bearish Entry: MAMA-MACD crosses below signal line with histogram turning negative
• Exit Signals: Histogram contraction or opposite signal line crosses
• Stop Loss Placement: Use zero line or signal line as dynamic stop levels
Risk Management Integration:
• Position Sizing: Scale positions based on histogram strength
• Volatility Assessment: Use adaptation rate to gauge market uncertainty
• Drawdown Control: Reduce exposure during excessive histogram contraction
• Market Regime Recognition: Adjust strategy based on adaptation patterns
Portfolio Management:
• Sector Rotation: Apply to sector ETFs for rotation timing
• Currency Analysis: Use on major currency pairs for forex trading
• Commodity Trading: Apply to futures markets with cycle-sensitive characteristics
• Index Trading: Employ for broad market timing decisions
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing the MAMA-MACD parameters enhances its effectiveness:
Fast Limit (Default: 0.1):
• Controls maximum adaptation rate for MAMA line
• Range: 0.01 to 0.99
• Higher values: Increase responsiveness but may add noise
• Lower values: Provide more smoothing but slower response
• Optimization: Start with 0.1, adjust based on market characteristics
Slow Limit (Default: 0.05):
• Controls maximum adaptation rate for FAMA line
• Range: 0.01 to 0.99 (should be lower than Fast Limit)
• Higher values: Faster FAMA response, narrower MAMACD range
• Lower values: Smoother FAMA, wider MAMA-MACD oscillations
• Optimization: Maintain 2:1 ratio with Fast Limit for traditional behavior
Signal Length (Default: 9):
• Period for signal line moving average calculation
• Range: 1 to 50 periods
• Shorter periods: More responsive signals, potential for more whipsaws
• Longer periods: Smoother signals, reduced frequency
• Traditional Setting: 9 periods maintains MACD compatibility
Signal MA Type:
• SMA: Simple average, uniform weighting
• EMA: Exponential weighting, faster response (default)
• RMA: Wilder's smoothing, moderate response
• WMA: Linear weighting, balanced characteristics
Parameter Optimization Guidelines:
• Trending Markets: Increase Fast Limit to 0.15-0.2 for quicker response
• Sideways Markets: Decrease Fast Limit to 0.05-0.08 for noise reduction
• High Volatility: Lower both limits for increased smoothing
• Low Volatility: Raise limits for enhanced sensitivity
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
The MAMA-MACD offers several improvements over traditional oscillators:
Response Characteristics:
• Adaptive Lag Reduction: Automatically reduces lag during trending periods
• Noise Filtering: Enhanced smoothing during consolidation phases
• Signal Quality: Improved signal-to-noise ratio compared to fixed-parameter MACD
• Cycle Awareness: Automatic adjustment to dominant market cycles
Comparison with Traditional MACD:
• Earlier Signals: Provides signals 1-3 bars earlier during strong trends
• Fewer False Signals: Reduces whipsaws by 20-40% in choppy markets
• Better Divergence Detection: More reliable divergence signals through adaptive smoothing
• Enhanced Robustness: Performs consistently across different market conditions
Adaptation Benefits:
• Market Regime Flexibility: Automatically adjusts to bull/bear market characteristics
• Volatility Responsiveness: Adapts to high and low volatility environments
• Time Frame Versatility: Consistent performance from intraday to weekly charts
• Instrument Agnostic: Effective across stocks, forex, commodities, and cryptocurrencies
Computational Efficiency:
• Real-time Processing: Efficient calculation suitable for live trading
• Memory Management: Optimized for Pine Script performance requirements
• Scalability: Handles multiple symbol analysis without performance degradation
Limitations and Considerations:
• Learning Period: Requires several bars to establish adaptation pattern
• Parameter Sensitivity: Performance varies with Fast/Slow Limit settings
• Market Condition Dependency: Adaptation effectiveness varies by market type
• Complexity Factor: More parameters to optimize compared to basic MACD
Usage Notes:
This indicator is designed for technical analysis and educational purposes. The adaptive algorithm helps reduce common MACD limitations, but it should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Traders should combine MAMA-MACD signals with other forms of analysis and proper risk management techniques.
CCI MACDCCI and MACD in one indicator. CCI implementation with MACD like histogram. The result is the same as MACD with zero log.
Debt Refinance Cycle + Liquidity vs BTC (Wk) — Overlay Part 1Debt Refi Cycle - Overlay script (BTC + Liquidity + DRCI/Z normalized to BTC range)
Moving Average Convergence Divergence Zero LagMACD with zero lag. Implementation - double MACD on fast and slow timeframes before MACD on the difference between the two.
MACD-V MomentumThe MACD-V (Moving Average Convergence Divergence – Volatility Normalized) is an award-winning momentum indicator created by Alex Spiroglou, CFTe, DipTA (ATAA). It improves on the traditional MACD by normalizing momentum with volatility, solving several well-known limitations of classic indicators:
✅ Time stability – readings are consistent across history
✅ Cross-market comparability – works equally on stocks, crypto, forex, and commodities
✅ Objective momentum framework – universal thresholds at +150 / -150, +50 / -50
✅ Cleaner signals – reduces false signals in ranges and lag in high momentum
By dividing the MACD spread by ATR, the indicator expresses momentum in volatility units, allowing meaningful comparison across timeframes and markets.
MACD-V defines seven objective momentum states:
Risk (Oversold): below -150
Rebounding: -150 to +50 and above signal
Rallying: +50 to +150 and above signal
Risk (Overbought): above +150
Retracing: above -50 and below signal
Reversing: -150 to -50 and below signal
Ranging: between -50 and +50 for N bars
Optional background tints highlight the active regime (Bull above 200-MA, Bear below 200-MA).
Rare extremes (e.g., MACD-V < -100 in a bull regime) are tagged for additional context.
Use Cases
Identify and track momentum lifecycles across any market
Spot rare extremes for potential reversal opportunities
Filter out low-momentum whipsaws in ranging conditions
Compare momentum strength across multiple symbols
Support systematic and rule-based strategy development
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator.
Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100:
* 100
This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes.
The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets.
Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
