Indexed MACD OscillatorIndexed MACD Oscillator — A normalized version of the standard MACD histogram, rescaled to always oscillate between 0 and 100 (rather than fluctuating in raw price-difference units, which vary a lot by symbol/timeframe). It calculates the standard MACD (12/26 EMA) and signal line (9-period EMA of MACD), takes the histogram (MACD − Signal), then min-max normalizes it using the highest and lowest histogram values over the trailing 100 bars. The result: 0 represents the most bearish momentum reading in the lookback window, 100 represents the most bullish, and the two gray reference lines mark those bounds.
This effectively turns MACD histogram into an oscillator similar in spirit to Stochastic or RSI — useful for comparing momentum extremes across different symbols on a consistent 0–100 scale, since raw MACD histogram values aren't comparable between, say, a $30 stock and a $3,000 stock.
One thing worth flagging for the description/documentation: since the normalization uses a rolling 100-bar high/low, the 0 and 100 levels are relative to recent history, not fixed absolute thresholds — a reading of 100 today doesn't necessarily mean the same momentum strength as a 100 from three months ago, since the window is constantly sliding. Might be worth a line in the description clarifying that it's a relative momentum extremity measure, not an absolute one, so users don't misread it like a fixed RSI-style overbought/oversold level. Indikator
Zero-Lag MACD Divergence Pro Zero-Lag MACD Divergence Pro is a MACD-family oscillator that reduces the indicator's inherent lag using zero-lag exponential averaging, detects regular divergences directly inside the MACD pane, and optionally gates its buy/sell markers so they only appear when a divergence and a crossover confirm each other. It is designed for intraday timeframes but works on any chart.
What makes it original
This is not a standard MACD with cosmetic changes. Three elements work as one system: (1) all three components — fast line, slow line, and signal line — are rebuilt on zero-lag EMAs rather than standard EMAs, (2) divergence detection runs on the zero-lag MACD line itself and draws its lines and labels inside the oscillator pane, with an optional mirrored dashed line on the price chart, and (3) a combo-gating mode suppresses crossover markers unless a divergence was confirmed within a recent, user-defined window, which filters the many insignificant crossovers a MACD produces in ranging markets.
How it works
Zero-Lag Core: Each component uses the zero-lag EMA construction (2 × EMA − EMA of EMA), a public-domain technique attributed to John Ehlers' error-correction work. This roughly halves the effective lag of each average, so crossovers occur earlier than on a classic MACD. A faded classic MACD line can be displayed for side-by-side comparison and switched off in the settings.
Divergence Detection: Confirmed pivot highs/lows on the zero-lag MACD line are compared with price highs/lows at the same bars. A regular bullish divergence (price lower low, MACD higher low) or regular bearish divergence (price higher high, MACD lower high) draws a connecting line between the two MACD pivots with a label in the pane. Pivots confirm only after the lookback period elapses, so divergence lines appear with a delay by design and do not repaint.
Combo Signals: In the default mode, a buy/sell marker prints on the price chart only when a zero-lag crossover occurs while a same-direction divergence is still valid (within a user-defined number of bars). Turning combo mode off prints markers on every confirmed crossover instead. Signals respect a cooldown and a daily maximum.
Four-Color Histogram: The histogram distinguishes rising and fading momentum on both sides of the zero line.
Dashboard: A dark, movable panel (styled to stay readable on light-theme charts) summarizes MACD state, histogram direction, active divergence, zero-line position, and the day's signal count.
How to use it
Add the indicator to a lower-timeframe chart (5–15 min for intraday use). Watch for a divergence label in the pane, then wait for the crossover marker that confirms it — the combo mode automates exactly this sequence. The zero-line row on the dashboard helps grade signals: bullish setups above the zero line and bearish setups below it occur in the direction of the broader momentum. All lengths, the divergence window, signal limits, colors, and dashboard placement are adjustable.
Limitations
Divergence lines appear only after pivots confirm (default 5 bars), so they are visible later than the pivot itself; this is the unavoidable cost of non-repainting detection. Reduced lag also means the zero-lag lines are more sensitive than a classic MACD and can produce more crossovers in choppy conditions — the combo mode exists to filter these. This tool describes momentum conditions; it does not predict future price movement, and past behavior of any signal does not guarantee future results. Always combine with your own analysis and risk management. Indikator
Indikator
MACD Market Stage + Hybrid Divergence - TP## MACD Market Stage + Hybrid Divergence
This indicator is a customized version of the classic **MACD** concept commonly available on TradingView. Credit goes to TradingView and the original MACD indicator framework. This version adds simple table readings, momentum stages, custom histogram colors, and optional divergence lines to make MACD easier to interpret at a glance.
The goal of this tool is not to predict the future, but to help traders better understand the current momentum condition of the market.
## What This Indicator Shows
This indicator displays:
MACD line
Signal line
MACD histogram
Momentum reading table
Market stage reading
Optional bullish and bearish divergence lines
The histogram colors help show whether momentum is increasing or fading.
## How To Read It
When the histogram is above zero and growing, bullish momentum is expanding.
When the histogram is above zero but shrinking, bullish momentum is weakening.
When the histogram is below zero and moving lower, bearish momentum is expanding.
When the histogram is below zero but improving, bearish momentum is weakening.
## Table Readings
The table summarizes the MACD condition in simple terms.
**Signal** shows whether bullish or bearish momentum is currently leading.
**Market Stage** shows the broader momentum phase.
**Stage Bias** gives a plain-language interpretation of the current stage.
## Market Stages
**Stage 1 Momentum Base**
Bearish momentum is weakening and the market may be trying to recover.
**Stage 2 Bullish Momentum Expansion**
Bullish momentum is strengthening and buyers are currently leading.
**Stage 3 Momentum Distribution**
Bullish momentum is still present, but it is starting to fade.
**Stage 4 Bearish Momentum Expansion**
Bearish momentum is strengthening and sellers are currently leading.
**Market Transition**
Momentum is mixed or unclear.
## Divergence
The optional divergence feature compares price action with the MACD line.
A **bullish divergence** may appear when price makes a lower low, but MACD makes a higher low.
A **bearish divergence** may appear when price makes a higher high, but MACD makes a lower high.
Divergence should not be used alone. It is best used together with price structure, support and resistance, trend, and risk management.
## How To Use
Use this indicator to quickly check whether momentum is expanding, weakening, or transitioning.
It may be useful for:
Confirming trend momentum
Spotting possible momentum weakness
Reading MACD conditions faster
Finding possible divergence areas
Supporting a broader trading plan
## Important Note
This indicator is for educational and informational purposes only. It does not provide financial advice, buy signals, or sell signals. No indicator can guarantee future results. Always use proper risk management and your own analysis before making trading decisions.
Indikator
Indikator
MACD Pullback Validation with Divergence Filters [algo_aakash]MACD Pullback Validation with Divergence Filters is a momentum confirmation indicator designed to identify continuation opportunities after temporary pullbacks rather than generating signals from every MACD crossover.
Instead of relying on a single event, the script evaluates multiple stages of market behavior. It begins by detecting pullbacks within an existing momentum cycle, waits for momentum recovery, confirms that price and the MACD histogram are no longer weakening, and optionally verifies that the setup occurs near significant price locations using pivot-derived support/resistance levels or Bollinger Band extremes.
The objective is to reduce low-quality MACD signals by requiring several independent conditions to align before a bullish or bearish signal is displayed.
Problem Statement
Traditional MACD crossover signals frequently occur during ranging markets or immediately after short-lived momentum fluctuations. Likewise, divergence signals alone often appear too early and do not necessarily indicate that momentum has already shifted back in the anticipated direction.
This indicator addresses that limitation by requiring multiple confirmation stages rather than treating each condition as an independent trading signal.
Instead of responding to isolated events, it evaluates whether a pullback has occurred, whether momentum is rebuilding, whether a recent divergence supports the move, and whether price is located in an area where reversals may be more meaningful.
Methodology
The analytical framework consists of several sequential validation layers.
First, MACD crossover events occurring above or below the zero line are monitored to identify temporary pullbacks within an existing momentum cycle. These crossover events establish the recent pullback state.
Next, the script monitors the MACD histogram. Bullish momentum requires the histogram to remain above zero while increasing relative to the previous bar. Bearish momentum requires the histogram to remain below zero while decreasing.
The indicator then waits for the MACD line itself to cross the zero line, treating this as evidence that momentum has shifted back in the direction of the prevailing move.
Histogram divergence is calculated using confirmed pivot highs and pivot lows. Regular bullish divergence requires price to form a lower low while the histogram forms a higher low. Regular bearish divergence requires price to form a higher high while the histogram forms a lower high. Hidden divergence calculations are also available for users who wish to visualize continuation-type divergence.
Finally, optional contextual filters may be enabled.
The Support/Resistance filter checks whether the current price is interacting with recently confirmed pivot-based levels.
The Bollinger Band filter requires bullish setups to occur after closing below the lower band and bearish setups after closing above the upper band, helping identify momentum reversals from statistically extended price conditions.
Signals are generated only after every enabled validation layer has been satisfied.
Signal Workflow
Bullish workflow
1. Detect a recent bearish MACD crossover occurring above the zero line to identify a pullback.
2. Confirm a regular bullish MACD histogram divergence using pivot comparisons.
3. Require the MACD histogram to begin strengthening.
4. Wait for the MACD line to cross back above the zero line.
5. Optionally require interaction with recent pivot-based support.
6. Optionally require price to close below the lower Bollinger Band.
7. Display a bullish signal.
Bearish workflow
1. Detect a recent bullish MACD crossover occurring below the zero line.
2. Confirm a regular bearish MACD histogram divergence.
3. Require bearish histogram acceleration.
4. Wait for the MACD line to cross below the zero line.
5. Optionally require interaction with recent pivot-based resistance.
6. Optionally require price to close above the upper Bollinger Band.
7. Display a bearish signal.
Why This Indicator Is Different
Many MACD indicators generate signals immediately after crossovers, while divergence indicators typically evaluate price and momentum independently.
This script integrates these concepts into a sequential validation framework where each condition serves a different analytical purpose.
The pullback logic identifies temporary counter-trend momentum.
The histogram evaluates whether momentum is rebuilding.
The zero-line crossover confirms broader momentum alignment.
Divergence provides evidence that momentum and price are no longer moving in agreement.
Optional pivot interaction and Bollinger Band filters add market-location confirmation before a signal is produced.
Rather than displaying every crossover or every divergence, the indicator waits until multiple independent conditions align before producing a trading signal.
Inputs
The script includes configurable parameters for:
* MACD fast, slow, and signal periods
* Pullback lookback window
* Divergence pivot lengths
* Divergence range settings
* Optional hidden divergence display
* Optional Support/Resistance validation
* Pivot sensitivity
* Optional Bollinger Band confirmation
* Bollinger Band length and standard deviation
Alerts
Built-in alert conditions are available for:
* Bullish Signal
* Bearish Signal
* Regular Bullish Divergence
* Hidden Bullish Divergence
* Regular Bearish Divergence
* Hidden Bearish Divergence
Practical Usage
The indicator is intended for traders who prefer waiting for momentum confirmation after temporary pullbacks instead of reacting to every MACD crossover.
Optional Support/Resistance and Bollinger Band filters can be enabled to make signal selection more restrictive when additional price-location confirmation is desired.
Limitations
MACD histogram divergence relies on confirmed pivot highs and lows, so divergence signals are only confirmed after the required pivot bars have formed.
Support and resistance levels are derived from pivot calculations and represent algorithmically identified swing points rather than manually drawn market structure.
Like any momentum-based indicator, performance may vary across different market conditions and should be evaluated alongside a broader trading plan and appropriate risk management.
Notes
This indicator is intended as an analytical decision-support tool. It combines momentum analysis, pullback recognition, divergence detection, and optional contextual filters into a structured confirmation process rather than relying on any individual condition as a standalone trading signal.
Indikator
MACD Trend Continuation Filter [algo_aakash]MACD Trend Continuation Signals with Trend Strength and Session Validation is a trend-following indicator designed to reduce false MACD crossover signals by requiring confirmation from market direction, trend strength, and trading session activity before generating a signal.
Instead of treating every MACD crossover equally, the indicator applies a sequential validation process so that signals are only produced when momentum develops in the direction of the prevailing trend during active market sessions.
Problem Statement
Standard MACD crossover strategies often generate numerous signals during ranging markets, weak trends, or periods of reduced market participation. While many of these crossovers satisfy the basic MACD conditions, they frequently lack the broader context needed to support a higher-probability continuation move.
This indicator addresses that issue by combining momentum, trend direction, trend strength, and session timing into a single validation workflow. The objective is not to increase the number of signals, but to improve their selectivity by filtering out conditions that commonly produce lower-quality entries.
Methodology
The indicator evaluates each setup through four consecutive validation stages.
Stage 1 – Momentum Trigger
The process begins with a traditional MACD crossover.
A bullish setup requires the MACD line to cross above the signal line while both remain below the zero line, indicating that bullish momentum is emerging from previously negative momentum.
A bearish setup requires the MACD line to cross below the signal line while both remain above the zero line, indicating weakening bullish momentum before potential downside continuation.
Stage 2 – Trend Direction
After a valid MACD crossover is detected, price location relative to the selected EMA determines the higher-level trend.
Long signals require price above the EMA.
Short signals require price below the EMA.
This prevents taking counter-trend MACD crossovers.
Stage 3 – Trend Strength
The indicator then evaluates ADX.
Signals are only accepted when ADX exceeds the user-defined threshold, indicating that directional movement has sufficient strength. When enabled, this filter attempts to reduce signals generated during low-volatility consolidation periods.
Stage 4 – Session Validation
Finally, signals are restricted to the selected trading sessions.
By default, only London and New York sessions are considered valid. These periods generally coincide with higher market participation and increased liquidity compared with quieter trading hours.
Only when all four stages agree is a signal plotted.
Signal Workflow
Bullish Signal
MACD crosses above its signal line.
MACD remains below zero.
Price trades above the EMA trend filter.
ADX exceeds the minimum strength threshold (optional).
The current bar occurs during an enabled trading session (optional).
A bullish signal is displayed.
Bearish Signal
MACD crosses below its signal line.
MACD remains above zero.
Price trades below the EMA trend filter.
ADX exceeds the minimum strength threshold (optional).
The current bar occurs during an enabled trading session (optional).
A bearish signal is displayed.
Why This Indicator Is Different
Many MACD-based scripts generate signals immediately after every crossover.
This indicator instead applies a layered validation process where each filter serves a distinct analytical purpose:
MACD identifies the momentum shift.
The EMA confirms the broader directional bias.
ADX measures whether the market is exhibiting sufficient directional strength.
The session filter limits signals to predefined periods of higher market activity.
Rather than operating as independent indicators displayed together, these components form a sequential decision process where each stage must validate the previous one before a signal is produced.
Inputs
The indicator allows customization of:
MACD fast, slow, and signal periods
EMA length
ADX length
Minimum ADX threshold
London session
New York session
Enable/disable ADX filtering
Enable/disable session filtering
Alerts
Built-in alert conditions include:
Bullish Signal
Bearish Signal
Alerts trigger only after all enabled validation stages have been satisfied.
Practical Usage
The indicator is intended for traders who prefer trading with the prevailing market direction rather than reacting to every MACD crossover.
Because multiple filters must align, signal frequency is intentionally lower than a standard MACD indicator. Traders may use the signals alongside their own price action analysis, support and resistance levels, or risk management rules.
Limitations
Signals are generated only after bar confirmation.
Strong trends may still produce losing trades during rapid market reversals.
Session filtering may exclude valid opportunities occurring outside the selected trading hours.
ADX measures trend strength but does not indicate future price direction.
The indicator is designed as a confirmation tool and should not be relied upon as the sole basis for trading decisions.
Notes
This script is intended for educational and analytical purposes. It visualizes a structured validation process that combines momentum, trend direction, trend strength, and trading session timing into a single signal-generation workflow. As with any technical indicator, outputs should be evaluated within a broader trading plan that includes appropriate risk management. Indikator
Indikator
Divergence Hunter [Proozac]# Divergence Hunter — RSI · MACD · OBV
**Pine Script v5 — Overlay Indicator**
---
## What It Does
Scans three oscillators simultaneously — RSI, MACD, and OBV — and draws labelled lines directly on the price chart whenever a divergence is detected between price action and oscillator momentum.
Two divergence types are covered per oscillator:
- **Regular divergence** — signals a potential trend reversal
- **Hidden divergence** — signals a potential trend continuation
---
## Divergence Types Explained
### Regular Bullish Divergence
```
Price: Lower Low (LL)
Oscillator: Higher Low (HL)
Signal: Potential reversal UP
```
Price is making lower lows but the oscillator is making higher lows — sellers are losing momentum. The downtrend is weakening.
### Regular Bearish Divergence
```
Price: Higher High (HH)
Oscillator: Lower High (LH)
Signal: Potential reversal DOWN
```
Price is making higher highs but the oscillator is making lower highs — buyers are losing momentum. The uptrend is weakening.
### Hidden Bullish Divergence
```
Price: Higher Low (HL) ← trend is up
Oscillator: Lower Low (LL)
Signal: Continuation UP
```
Price holds higher lows (uptrend structure intact) while the oscillator dips lower — a temporary oscillator pullback during a healthy uptrend. A continuation signal.
### Hidden Bearish Divergence
```
Price: Lower High (LH) ← trend is down
Oscillator: Higher High (HH)
Signal: Continuation DOWN
```
Price is making lower highs (downtrend structure intact) while the oscillator makes higher highs — a temporary oscillator bounce during a healthy downtrend.
---
## The Three Oscillators
| Oscillator | What it measures | Why it diverges |
|-----------|-----------------|-----------------|
| **RSI** | Relative momentum of closes | Classic divergence tool — very reliable at extremes |
| **MACD** | Trend + momentum combined | Useful in trending markets, less noise than RSI |
| **OBV** | Cumulative volume flow | Measures whether volume confirms the price move |
Each oscillator runs through the same `detect_divs()` function. You can enable or disable each one independently. When multiple oscillators show the same divergence simultaneously, that is a high-conviction signal.
---
## Detection Logic
The indicator uses `ta.pivothigh` and `ta.pivotlow` on the **price** series to find swing points, then reads the **oscillator value at that same bar** to compare:
```
For each new pivot high in price:
Compare price level vs previous pivot high price
Compare oscillator vs previous pivot high oscillator
→ Regular Bear: price HH + osc LH
→ Hidden Bear: price LH + osc HH
For each new pivot low in price:
Compare price level vs previous pivot low price
Compare oscillator vs previous pivot low oscillator
→ Regular Bull: price LL + osc HL
→ Hidden Bull: price HL + osc LL
```
When detected, a **line** is drawn connecting the two price pivot points and a **label** marks the divergence type and oscillator name.
---
## Inputs
| Input | Default | Description |
|-------|---------|-------------|
| **RSI Divergence** | true | Enable RSI divergence scanning |
| **RSI Length** | 14 | RSI calculation period |
| **MACD Divergence** | true | Enable MACD line divergence scanning |
| **MACD Fast** | 12 | MACD fast EMA length |
| **MACD Slow** | 26 | MACD slow EMA length |
| **MACD Signal** | 9 | MACD signal line length |
| **OBV Divergence** | true | Enable OBV divergence scanning |
| **Pivot Lookback (left bars)** | 5 | Bars to the left required to confirm a swing point |
| **Pivot Lookback (right bars)** | 5 | Bars to the right required to confirm a swing point |
| **Show Hidden Divergences** | true | Toggle hidden divergence lines on/off |
| **Bullish Regular** | Bright green | Line/label color for regular bullish divergences |
| **Bearish Regular** | Bright red | Line/label color for regular bearish divergences |
| **Bullish Hidden** | Faded green | Line/label color for hidden bullish divergences |
| **Bearish Hidden** | Faded red | Line/label color for hidden bearish divergences |
---
## Visual Output
| Element | Meaning |
|---------|---------|
| Solid bright green line + label `"RSI Bull Div"` | Regular bullish divergence on RSI |
| Solid bright red line + label `"RSI Bear Div"` | Regular bearish divergence on RSI |
| Dashed faded green line + label `"RSI Hid Bull"` | Hidden bullish divergence on RSI |
| Dashed faded red line + label `"RSI Hid Bear"` | Hidden bearish divergence on RSI |
| Same patterns with `"MACD"` or `"OBV"` prefix | Divergence from that oscillator |
| Green background flash | Any bullish regular divergence firing |
| Red background flash | Any bearish regular divergence firing |
Lines connect the **two price swing points** that form the divergence, making it immediately clear which highs or lows are being compared.
---
## How to Use
**Entry logic:**
- Regular divergence → look for a reversal entry after the divergence confirms (pivot right bars have closed).
- Hidden divergence → look for a continuation entry in the direction of the main trend.
- Always wait for the pivot to fully confirm — the signal appears `pivot_rb` bars after the actual swing point.
**Confluence filter:**
A divergence is most reliable when:
1. Two or more oscillators show the same divergence simultaneously
2. Price is at a key structural level (support/resistance, Order Block, session high/low)
3. The MTF Dashboard (indicator 02 in this suite) confirms the higher timeframe trend
**Reducing noise:**
- Increase `Pivot Lookback` (left/right bars) to 8–10 for cleaner, less frequent signals
- Disable OBV if trading Forex (OBV is volume-dependent and FX volume data is tick-based)
- Disable hidden divergences if you only want reversal signals
---
## Configuration Tips
| Scenario | Recommended settings |
|----------|---------------------|
| Fast scalping (1–5m) | Pivot: 3/3, RSI only |
| Day trading (15m–1H) | Pivot: 5/5, RSI + MACD |
| Swing trading (4H–D) | Pivot: 8/8, all three oscillators |
| Crypto (high volatility) | Pivot: 7/7 to filter noise |
---
## Alerts
Two built-in `alertcondition` entries:
- `Bullish Divergence` — fires when any enabled oscillator confirms a regular bullish divergence
- `Bearish Divergence` — fires when any enabled oscillator confirms a regular bearish divergence
Set up in TradingView: Alerts → Condition → Divergence Hunter → select the desired condition.
Indikator
MTF MA & MACD & StochRSI (pro)Multi-Timeframe MA & MACD & StochRSI (Pro)
The Multi-Timeframe MA & MACD & StochRSI (Pro) is a professional multi-timeframe confluence dashboard built to help traders quickly identify trend direction, momentum strength, and cross-timeframe alignment in one clean visual layout.
This tool combines Moving Averages, MACD logic, and StochRSI cross conditions across multiple timeframes, allowing traders to reduce chart clutter and improve decision-making without constantly switching between charts.
Designed for traders who rely on confluence, top-down analysis, and momentum confirmation.
Core Purpose
This indicator answers one key trading question:
Are my moving averages, momentum, and oscillator signals aligned across multiple timeframes?
By tracking multiple confirmations together, traders can identify stronger trend setups while filtering weaker or conflicting market conditions.
Multi-Timeframe Dashboard
The dashboard scans and displays data across:
1 Minute
5 Minute
15 Minute
1 Hour
4 Hour
1 Day
1 Week
This provides both short-term and higher-timeframe market alignment.
Core Features
1) Multi-Timeframe Moving Average Analysis
The indicator tracks:
20 EMA
50 EMA
For each timeframe it checks whether price is:
Above EMA → Bullish bias
Below EMA → Bearish bias
This gives a quick directional read of market structure.
2) MACD Confirmation Logic (Enhanced)
Unlike a basic MACD crossover, this version uses stricter logic for stronger confirmation.
Buy Condition
Histogram > 0
MACD Line > 0
Signal Line > 0
Sell Condition
Histogram ≤ 0
MACD Line ≤ 0
Signal Line ≤ 0
Neutral
If momentum is mixed, the dashboard displays Neutral.
This helps remove weaker crossover noise and improves momentum quality.
3) StochRSI Cross Confirmation
The dashboard tracks StochRSI cross alignment using:
RSI calculation
Stochastic range
Smoothed %K line
Smoothed %D line
Buy
%K > %D
Sell
%K < %D
Neutral
Flat or undefined conditions
This adds momentum confirmation beyond moving averages.
4) Non-Repainting Multi-Timeframe Logic
The script uses stable request.security() calls with completed timeframe bars to reduce repainting behaviour and improve consistency.
Useful for traders who want cleaner higher-timeframe confirmation.
5) On-Chart Moving Average Overlay
In addition to the dashboard, the indicator plots:
Current timeframe 20 EMA
Current timeframe 50 EMA
These allow traders to visually track trend support/resistance directly on price.
6) Weekly MA Overlay
Optional higher-timeframe moving averages can also be shown directly on the active chart:
Weekly 20 EMA
Weekly 50 EMA
This helps identify:
Macro trend direction
Dynamic support/resistance
Higher timeframe bias
Confluence zones
Can be toggled ON/OFF in settings.
7) Adjustable Table Text Size
The dashboard supports text scaling for cleaner viewing:
Tiny
Small
Normal
Large
Huge
Useful for different monitor sizes and chart layouts.
Colour Logic
Green
Bullish / Buy
Price above EMA
Positive MACD alignment
StochRSI Buy condition
Red
Bearish / Sell
Price below EMA
Negative MACD alignment
StochRSI Sell condition
Grey
Neutral / Mixed
No strong directional bias
This allows fast visual scanning across all timeframes.
Best Used For
This indicator is ideal for:
Multi-timeframe trend analysis
Momentum confirmation
Confluence trading
Swing trading
Intraday trading
Scalping
Breakout confirmation
Trend-following systems
Works well on:
Crypto
Forex
Indices
Stocks
Commodities
How to Use It
Step 1 – Check EMA Alignment
Look for price above or below the 20 and 50 EMA across multiple timeframes.
Step 2 – Confirm MACD Strength
Check whether MACD is fully aligned (not just crossing).
Step 3 – Confirm StochRSI Direction
Look for %K vs %D agreement.
Step 4 – Find Confluence
The strongest setups often occur when:
MA structure aligns
MACD aligns
StochRSI aligns
Higher timeframe bias supports the trade
Trading Framework Example
A strong bullish setup might show:
Price above 20 EMA
Price above 50 EMA
MACD Buy
StochRSI Buy
Weekly MA acting as support
A strong bearish setup may show the inverse.
Summary
Multi-Timeframe MA & MACD & StochRSI (Pro) is a high-confluence dashboard built for traders who want cleaner multi-timeframe trend analysis, stronger momentum confirmation, and faster market alignment in one professional workflow. Indikator
MACD & Stoch RSI Confluence S/RMACD & Stoch RSI Confluence S/R
MACD & Stoch RSI Confluence S/R draws horizontal support and resistance
levels from MACD and Stochastic RSI crossover points, then automatically
merges levels that cluster close together into a single confluence zone.
Instead of treating every crossover as an isolated signal, it highlights
the price areas where two independent momentum oscillators historically
agreed on a turning point.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
BACKGROUND — WHY CROSSOVER-BASED LEVELS?
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MACD and Stochastic RSI are both momentum oscillators, but they measure
momentum differently — MACD from the relationship between two EMAs,
Stochastic RSI from the position of RSI within its own recent range.
Because of this difference, the two oscillators don't always cross at the
same time or the same price, but when they do cross near the same price
level, it suggests that two independent calculations both detected a
shift in momentum at that point.
Traditional crossover indicators only mark the moment of the crossover
itself and then move on — the price level where it happened is rarely
preserved or revisited. This indicator instead treats every crossover
price as a potential support or resistance level going forward, on the
logic that price has already shown a reaction (a momentum shift) at that
level once, and may do so again if it returns there.
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HOW IT WORKS — TECHNICAL DETAIL
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CROSSOVER DETECTION
The indicator calculates a standard MACD (fast EMA, slow EMA, signal line)
and a standard Stochastic RSI (RSI smoothed through a Stochastic
calculation, then K/D smoothing) independently. Bullish crossovers occur
when MACD crosses above its signal line, or when Stochastic RSI's K line
crosses above its D line. Bearish crossovers are the inverse.
Each time a valid crossover occurs, the indicator looks back a
user-defined number of bars (How many bars before crossover?) and records
the low of that bar for bullish crossovers, or the high for bearish
crossovers. This offset exists because the actual turning point in price
often occurs slightly before the oscillator confirms it — anchoring the
line to the prior bar's extreme captures the reaction point more
accurately than the bar where the crossover is technically confirmed.
PROXIMITY FILTERING (PER OSCILLATOR)
Before a new level is recorded, it's checked against existing levels from
the same oscillator and same direction using an ATR-based distance
threshold. If a new crossover price falls too close to an already-recorded
level, it's discarded. This prevents a single trending move that triggers
several crossovers in quick succession from flooding the chart with
near-identical lines.
CONFLUENCE MERGING (ACROSS OSCILLATORS)
After proximity filtering, all surviving levels from both oscillators —
MACD support, MACD resistance, Stoch RSI support, Stoch RSI resistance —
are pooled together. Any levels within a percentage threshold of each
other are merged into a single line, positioned at their average price.
The merged line is labeled with the count of crossovers that contributed
to it, so a label showing "⬡3" indicates three separate crossover events —
potentially from different oscillators — all landed within the merge
threshold of one another.
This merge threshold is calculated automatically based on the chart's
timeframe: wider on higher timeframes (where price ranges are naturally
larger) and tighter on lower timeframes. A manual override is available if
you prefer a fixed percentage regardless of timeframe.
DYNAMIC COLORING
Every line — merged or single — is colored based on its position relative
to the current close. A line below price is colored as support; a line
above price is colored as resistance. Because lines extend forward in
time, a single line can change from resistance to support (or vice versa)
as price crosses through it, and the color updates automatically.
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INFO TABLE
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A table in the corner of your choice displays, for the most recent bar:
— The number of support and resistance lines currently shown for each
oscillator separately
— The nearest support and nearest resistance level to current price,
calculated from the same merged lines drawn on the chart — not a
separate calculation, so the table always matches what you see
— Whether the MACD zero-line filter and Stoch RSI overbought/oversold
filter are currently active
— Whether each oscillator is enabled
— The current merge threshold percentage and whether it was set
automatically or manually
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HOW TO USE
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1. CHOOSE WHICH OSCILLATORS TO USE
Both MACD and Stochastic RSI are enabled by default. You can disable
either one independently if you only want levels from a single
oscillator, or run both for confluence.
2. SET THE BAR OFFSET
How many bars before crossover? controls how far back from the
confirmed crossover the indicator anchors the level. Start with the
default and increase it if you find levels are consistently anchored
slightly too late relative to the actual price reaction.
3. TUNE THE PROXIMITY FILTER
The ATR Multiplier controls how close a new crossover has to be to an
existing level of the same type before it's discarded. Increase this on
choppy assets to reduce clutter; decrease it if you feel valid levels
are being filtered out.
4. APPLY OPTIONAL FILTERS IF NEEDED
The MACD Zero Line Filter restricts bullish crossovers to above the
zero line and bearish crossovers to below it, filtering out weaker
signals that occur against the broader momentum direction. The Stoch
RSI Overbought/Oversold Filter restricts crossovers to occur only in
oversold or overbought territory, focusing on reversal-type signals
rather than mid-range noise. Both are off by default — enable them if
you want fewer, more selective levels.
5. ADJUST THE MERGE THRESHOLD IF NEEDED
The automatic threshold works well across most timeframes, but if you
trade a single timeframe consistently and want more control, switch to
Manual Threshold and set a fixed percentage that matches your
instrument's typical price behavior.
6. READ THE LABELS
Single-oscillator lines are labeled "M" (MACD) or "S" (Stoch RSI).
Merged lines are labeled with a count (e.g. "⬡2", "⬡3") showing how many
crossovers — and potentially how many different oscillators — agreed on
that level. Higher counts represent stronger confluence.
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WHERE TO USE IT
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The indicator works on any asset class and any timeframe, since both
oscillators and the merge threshold are calculated directly from the
chart you have open. It's particularly useful for:
— Identifying support/resistance levels that are backed by momentum
shifts rather than purely price-action-based pivots
— Spotting confluence zones where MACD and Stoch RSI crossovers
historically aligned, which may carry more weight than a level
identified by either oscillator alone
— Confirming reactions at prior turning points — if price returns to a
level where a crossover previously occurred, the level provides context
for whether momentum may shift again
— Combining with other structure or volume-based tools as part of a
broader confluence-based approach, rather than as a standalone signal
generator
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SETTINGS REFERENCE
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MACD: Fast/Slow/Signal EMA lengths, source, bar offset, max support/
resistance lines kept, line width, colors, extend mode, ATR-based
proximity filter, zero-line filter
Stochastic RSI: RSI period, Stochastic period, K/D smoothing, source, and
the same set of line/extend/proximity/zone options as MACD
Merging: enable/disable, automatic or manual threshold, merged line color
and width
Table: show/hide, position
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ORIGINALITY
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MACD and Stochastic RSI crossovers are both well-established concepts
individually, but this script's specific contribution is treating
crossover prices as persistent support/resistance levels rather than
one-off signals, combined with a cross-oscillator confluence merge that
identifies where two independently-calculated momentum tools agreed on
the same price area. The ATR-based proximity filter and timeframe-adaptive
merge threshold are the author's own approach to keeping this practical
and readable on a live chart rather than producing chart clutter.
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DISCLAIMER
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This indicator is intended for educational and analytical purposes only.
No indicator can predict future market movements with certainty. Always
use proper risk management and combine multiple forms of analysis before
making trading decisions. Indikator
EMA MACD Trend Decision TableEMA MACD Decision Table v6
This Pine Script v6 overlay indicator summarizes trend, momentum, volume, higher-timeframe context, and ATR-based planning levels into one decision table.
The indicator uses EMA 9, EMA 21, EMA 50, EMA 100, EMA 200, MACD, RSI, ADX / DMI, volume confirmation, optional higher-timeframe EMA trend, and ATR risk planning.
It produces a numeric decision score on every bar. Bullish confirmations add points, bearish confirmations subtract points, and the final score is converted into Strong Buy, Buy, Neutral, Sell, or Strong Sell.
BUY labels appear only when the score first reaches Strong Buy territory. SELL labels appear only when the score first reaches Strong Sell territory.
This tool is designed for chart context and planning. It is not financial advice and does not guarantee trade results.
Scoring Logic
Condition | Score
--- | ---
EMA 9 above EMA 21 and price above EMA 50 | +2
EMA 9 below EMA 21 and price below EMA 50 | -2
Price above EMA 200 | +1
Price below EMA 200 | -1
MACD above signal and histogram above 0 | +2
MACD below signal and histogram below 0 | -2
MACD bullish crossover | +1
MACD bearish crossover | -1
RSI above 55 | +1
RSI below 45 | -1
ADX above threshold and +DI above -DI | +1
ADX above threshold and -DI above +DI | -1
Volume above average and candle closes above open | +1
Volume above average and candle closes below open | -1
Higher-timeframe close above its EMA when enabled | +1
Higher-timeframe close below its EMA when enabled | -1
Decision Output
Score Range | Decision
--- | ---
>= 5 | Strong Buy
2 to 4 | Buy
-1 to 1 | Neutral
-2 to -4 | Sell
<= -5 | Strong Sell
Decision Table Rows
Row | What It Shows | How To Read It
--- | --- | ---
Decision | Final decision and total score | Main summary of bullish, bearish, or mixed confirmation
Last Price | Latest close and price direction | Shows current price context
Bar Change | Close-to-close change and percent change | Positive is above prior close, negative is below prior close
O / H / L | Current open, high, and low | Shows current candle range
EMA 9 / EMA 21 | Short-term EMA relationship | EMA 9 above EMA 21 is bullish, below is bearish
EMA 50 / EMA 200 | Medium and long trend context | Price above EMA 200 supports bullish trend, below supports bearish trend
MACD | MACD state and histogram | Bullish when MACD is above signal and histogram is positive
RSI | RSI state and value | Above 55 bullish, below 45 bearish, above 70 overbought, below 30 oversold
ADX / DMI | Trend strength and direction | Strong +DI lead is bullish, strong -DI lead is bearish
Volume | Volume confirmation | Above-average bullish candle confirms buyers; bearish candle confirms sellers
HTF Trend | Optional higher-timeframe EMA trend | Bullish above HTF EMA, bearish below, Off when disabled
ATR | Current Average True Range | Risk planning unit
Long Plan | ATR-based long stop and target | Reference levels only
Short Plan | ATR-based short stop and target | Reference levels only
Candle Color Meaning
Score Range | Meaning | Candle Color
--- | --- | ---
>= 5 | Strong Buy | Lime
2 to 4 | Buy | Green
-1 to 1 | Neutral | Normal chart color
-2 to -4 | Sell | Maroon
<= -5 | Strong Sell | Red
ATR Planning Formulas
Plan | Formula
--- | ---
Long stop | close - ATR * stop multiplier
Long target | close + (close - long stop) * reward/risk
Short stop | close + ATR * stop multiplier
Short target | close - (short stop - close) * reward/risk
Data Window Values
Code | Meaning
--- | ---
2 | Strong Buy
1 | Buy
0 | Neutral
-1 | Sell
-2 | Strong Sell
Alert Logic
The script includes alerts for Strong Buy Decision, Strong Sell Decision, MACD Bullish Cross, and MACD Bearish Cross.
Strong decision alerts trigger when the score enters strong buy or strong sell territory. MACD alerts are based only on MACD line and signal line crossovers.
Reading The Output
Green output means bullish confirmations are stronger.
Red output means bearish confirmations are stronger.
Gray output means conditions are mixed or neutral.
The decision score is strongest when trend, momentum, volume, and higher-timeframe direction all agree.
Indikator
EFI & MACD Advanced Pro
Indicator Synopsis: EFI & MACD Advanced Pro
This custom TradingView indicator—created for Simon20cent—is a dual-momentum confirmation filter designed to isolate high-probability trend phases by synchronising a volume-weighted oscillator with a trend-following moving average cross.
It strips away chart noise by compressing two distinct indicator panels into a single, highly scannable visual pane.
Core Components & Logic
The system monitors the interaction between two classic technical metrics:
1. Elder’s Force Index (EFI): Measures the directional power of a move by multiplying price change by volume. It determines whether buyers or sellers dominate the volume profile (Value > 0 or < 0).
2. MACD vs. Signal Line: Tracks classic moving average momentum. A bullish state is triggered when the fast MACD line crosses above the slow Signal line (MACD > Signal).
Visual Matrix (How to Read the Pane)
The indicator renders exclusively as a zero-anchored Column Chart, utilizing four distinct conditions:
* 🟩 Bright Green Column (+1.0): Full Bullish Alignment. The EFI is above zero and accelerating upward, while the MACD line is securely above its signal line.
* 🟥 Bright Red Column (-1.0): Full Bearish Alignment. The EFI is below zero and accelerating downward, while the MACD line is securely below its signal line.
* 🟦 Light Blue Column (+0.5): Divergence / Market Out of Alignment. The indicators do not agree, but the EFI remains positive (>0), suggesting weak bullish underlying volume.
* 📘 Dark Navy Column (-0.5): Divergence / Market Out of Alignment. The indicators do not agree, but the EFI remains negative (<0), suggesting weak bearish underlying volume.
Advanced Institutional Features
* Momentum Grading (Two-Tone Gradients): The columns automatically shift to a darker shade of green or red if structural momentum begins to flatten, providing an early structural warning before a trend formally breaks.
* Trend Exhaustion Alerts (Orange Triangles): Small orange triangles automatically print above or below the columns the exact moment a strong green or red streak loses velocity, marking ideal profit-taking windows.
* Integrated Alert Engine: Features pre-built Pine Script hooks for Bullish Alignment, Bearish Alignment, and Trend Exhaustion, allowing you to link the indicator directly to TradingView phone push notifications or email alerts.
🟢 Long Exit Warning (Orange Triangle pointing Downward)
This prints at the top of the pane (+1.1) to signal it is time to scale out or close a long position. It triggers when you are in a valid long streak (Green columns), but the very next bar suffers a breakdown in power:
* The Math: The indicator checks if Elder's Force Index (EFI) starts falling compared to the previous bar, OR if the MACD Line slips back below the Signal Line.
* The Meaning: Buyers are running out of breath. Even though price might still be hovering near the highs, the volume-weighted power (EFI) is dropping, meaning institutional buying pressure has dried up.
🔴 Short Exit Warning (Orange Triangle pointing Upward)
This prints at the bottom of the pane (-1.1) to signal it is time to cover your short position. It triggers when you are in a valid short streak (Red columns), but seller momentum hits exhaustion:
* The Math: The indicator checks if EFI starts rising (climbing back toward zero), OR if the MACD Line crosses back above the Signal Line.
* The Meaning: Sellers are exhausted. The downward volume is thinning out, and profit-taking by larger players is likely about to cause a bullish bounce or a prolonged squeeze.
💡 Trading Strategy Tip
Do not use these orange triangles to open new trades. Treat them strictly as protective exit signals. When you see one appear while you are in profit, it means the high-velocity phase of that specific wave has ended, and the indicator is about to print unaligned blue columns.
Indikator
Momentum Conviction [HermesCore]WHAT THIS INDICATOR DOES
Momentum Conviction watches two things at the same moment: where price momentum turns, and how much agreement stands behind that turn. The turn is an EMA crossover — the fast EMA (Exponential Moving Average) crossing the slow one — but only when the MACD histogram (Moving Average Convergence Divergence, a standard momentum gauge) is leaning the same way. A LONG fires when the fast EMA crosses above the slow EMA while MACD momentum is positive; a SHORT is the exact mirror. A cross with no momentum behind it is ignored.
Every signal that does fire is then graded 0 to 5 by a conviction score, built from five independent checks the moment the signal prints. You decide how much conviction you require: show every signal, or raise the minimum and keep only the ones with weight behind them.
WHY IT IS DIFFERENT
Most moving-average tools print an arrow on every cross and leave you to separate the real ones from the noise by eye. My rules are:
A cross is not a signal on its own. It has to happen while MACD momentum agrees. A large share of the crosses that fail are crosses that fired into flat or opposing momentum; gating on the histogram removes them before they ever reach the chart.
The score is a filter, not decoration. It is not a confidence label added after the fact — it is five yes/no facts, known at signal time, summed. Set a minimum and the weak signals never appear.
The higher timeframe gets a vote, not the final word. One of the five points is HTF agreement, so you can weigh it without being ruled by it.
ADX is deliberately excluded. I tested it repeatedly on the charts this was built for and it did not earn a place.
Everything updates on confirmed bars only. No intrabar flicker, no repainting, and the higher-timeframe reads use no look-ahead.
HOW TO READ THE CHART
LONG bubble (green, below the bar) and SHORT bubble (red, above it) mark each qualifying signal. Bubble size is adjustable.
The gradient EMA cloud is aqua when the fast EMA sits above the slow one (uptrend lean) and magenta when below. The slow EMA carries a soft gold glow so the spine of the trend is always easy to find.
A faint background tint colours the whole pane in the trend colour — a peripheral regime cue, nothing to act on by itself.
A faint gold background band shows the previous day's and previous week's range, for context on where price sits inside the larger structure.
THE CONVICTION SCORE
Each check is worth one point, decided at signal time, and never changes afterwards:
Momentum strength — the MACD histogram is larger than its own 50-bar average: the push is bigger than this market's normal push. +1
Slope agreement — the fast EMA is itself moving in the signal's direction, not merely crossing. +1
Higher-timeframe trend — the chosen HTF (4H by default) is trending the same way; its price and 50/200 EMAs agree. +1
Not over-extended — price is within a set ATR (Average True Range, a volatility measure) distance of the slow EMA, so you are not entering after the move has already run. +1
RSI room — RSI (Relative Strength Index, 0–100) is not already at an extreme in the signal's direction; there is room left to travel. +1
Five of five is a cross with bigger-than-normal momentum, sloping the right way, aligned with the higher timeframe, entered near value, with room to run. Zero is a bare cross with nothing behind it. The minimum-score input is where you set your own bar.
HOW I USE IT
The defaults are deliberately fast (EMA 2/12) — a low-timeframe, many-signals setting. Slow the lengths down for swing work and you get fewer, heavier signals.
I treat a high-score signal that agrees with the higher timeframe as the one worth acting on, and a low-score signal as information about the tape rather than a trade. The honest part: this is trend and momentum logic. It earns its keep when the market trends and gives a good deal of it back in ranges. The regime tint and the HTF vote exist to keep you on the right side of that question, not to solve it — be honest with yourself about which regime you are actually in.
SETTINGS THAT MATTER
EMA fast/slow and MACD lengths — the engine. Defaults are fast; raise them for higher timeframes and fewer, heavier signals.
Minimum score (0) — your conviction bar. 0 shows everything; raise it to thin the chart to signals with agreement behind them.
Higher timeframe (4H) — the trend you check against. Match it to your horizon.
Max distance to slow EMA (2.0 ATR) — how far from value still counts as "not over-extended."
RSI overbought/oversold (72/28) — the "room left" thresholds.
Each score component can be switched off individually if you want to see what it contributes on its own.
ALERTS
Momentum Conviction LONG and Momentum Conviction SHORT, both firing on the confirmed close of the signal bar, with ticker and timeframe in the message.
CALCULATION DETAILS
All logic evaluates on confirmed bars. A signal cannot appear or disappear inside a forming candle.
The trigger is the fast/slow EMA cross; the gate is the sign of the MACD histogram on the same close.
The higher-timeframe trend uses that timeframe's prior-bar close and 50/200 EMAs, requested with no look-ahead, so it does not repaint.
The conviction score is computed once, at signal time, from the values listed above.
HONEST LIMITATIONS
This is trend-following momentum. In a range it will cross back and forth and hand gains back; no filter removes that, it only thins it.
The score is a hypothesis about signal quality, not a measured edge. This indicator does not keep score for you. If you want to know whether higher scores actually perform better on your symbol, run the matching strategy version in the Strategy Tester with realistic costs and read the result yourself.
The defaults trade often. On a live account, slippage and spread on frequent entries matter more than the chart suggests — cost everything before you believe anything.
Signals are evaluated at the close; real fills happen later and worse. Treat the chart as the ideal case.
It runs on any symbol and timeframe, but "runs" is not "has an edge" — whether it works on your market is yours to verify. Past behaviour is not the next signal.
Not financial advice. It manages no positions and places no orders.
ORIGINALITY
The ingredients — EMA crosses, MACD, RSI, ATR — are as old as charting. The momentum-gated trigger, the five-factor conviction score and its use as a hard filter, the regime-aware visual language and the non-repaint construction are my own work in Pine v6. Every value the script uses is recomputable from the rules above.
Questions and suggestions are welcome in the comments. Enjoy. Indikator
Indikator
Strategie
MACD + Timeframe DisplayHave you ever maximized your MACD pane to get a closer look at a crossover, only to realize the top toolbar disappeared and you forgot exactly which timeframe you were analyzing?
This indicator solves that frustrating UI quirk.
This script is a 1:1 replica of TradingView’s standard built-in MACD, but with one major quality-of-life upgrade: it features a dynamic, built-in display table in the top right corner of the indicator pane that continuously tracks your active chart timeframe.
Because the text is drawn directly onto the indicator's canvas, it stays perfectly visible even when the pane is double-clicked and maximized.
Key Features:
Classic MACD Math: Uses the exact same calculations, inputs, and histogram color schemes as the default TradingView MACD. Your signals and familiar aesthetics remain completely unchanged.
Smart Timeframe Formatting: Automatically detects your active timeframe and converts raw minutes into a clean, human-readable format. Instead of displaying "60" or "240", it dynamically formats the text to "1H", "4H", "15m", "1D", etc.
Unobtrusive UI: The timeframe is displayed in a clean, semi-transparent box in the top right corner of the pane, ensuring it doesn't block your view of the moving averages or histogram.
How to use:
Simply add it to your chart, replace your old MACD, and customize your moving average lengths just like you normally would. The timeframe display is entirely automatic! Indikator
Adaptive MACD Regime, Volatility Bands & Conviction# Adaptive MACD — Regime, Volatility Bands & Conviction
## What this is
This is a single, self-contained momentum framework built around **one normalized MACD core**. Instead of plotting a raw MACD and leaving you to judge it, the script surrounds that core with the context a momentum reading needs to be usable: a market-regime filter, an adaptive length stage, a multi-timeframe agreement check, a volatility band, and a conviction score that combines them into one number. It runs on **any symbol and any timeframe** — the price source and every optional reference feed are selectable in Settings.
It is a study/indicator (not a strategy). It does not place orders and does not claim any performance.
---
## Why these components are combined (mashup rationale)
A plain MACD only answers "is momentum up or down right now." On its own it has two well-known weaknesses: it whipsaws during sideways markets, and its fixed 12/26/9 lengths are arbitrary for any given symbol or timeframe. Each module below exists to fix a specific one of those weaknesses, and they are deliberately chained so the output of one informs the next:
1. **Normalized MACD core (L1)** — the MACD histogram is converted to a rolling **z-score**, so a reading of "+2" means the same thing on a low-priced FX pair, a high-priced index, or a 1-minute vs daily chart. Raw MACD values are not comparable across instruments; the z-score is. This is what makes the rest of the framework symbol-agnostic.
2. **Regime filter (L2)** — efficiency ratio + ADX + a volatility-clustering measure classify the market as **Trend / Range / Volatile**. This is used to decide whether a momentum signal should be trusted: MACD crosses are reliable in trends and noisy in ranges, so the regime gates and reweights the core signal rather than treating every cross equally.
3. **Adaptive length stage (L3)** — a dominant-cycle estimate (Ehlers homodyne) retunes the fast/slow/signal lengths toward the market's measured rhythm, instead of a static 12/26/9. You can switch this to a volatility-driven mode or fall back to fixed lengths. This directly addresses the "arbitrary lengths" weakness.
4. **Multi-timeframe confluence (MTF)** — the same MACD logic is evaluated on four higher timeframes, confirmed on bar close so it does not repaint. A single-timeframe cross is weak; agreement across timeframes is the filter.
5. **Volatility band + fade (L4)** — a volume-weighted standard-deviation band around price flags stretched conditions and band-rejection ("fade") setups, used as a mean-reversion counterweight to the trend logic.
6. **Conviction + vetoes (CON)** — all of the above are blended into a single **0–100 conviction score** with hard vetoes (e.g. counter-regime, timeframe disagreement, volatility spike). This is the part that turns several separate readings into one decision so you are not eyeballing five panels.
7. **Risk framework (RISK)** — once there is a signal, it derives an ATR stop, R-multiple targets, and a position-size suggestion from your account equity and risk %. This is shown as thin Entry / Stop / TP1 / TP2 lines on price.
In short: **L1 makes momentum comparable, L2 decides if it can be trusted, L3 tunes it, MTF confirms it, L4 adds a reversion check, CON scores it, and RISK frames it.** None of the layers is decorative — remove any one and the others lose context.
---
## How to use it
1. Add it to any chart and timeframe. It plots in its own lower pane; the trade levels and dashboard overlay on price.
2. Read the **dashboard header**: it shows the current action (BUY / SELL / HOLD / WAIT / FLAT) and the entry/stop.
3. Check **VERDICT + conviction**: a higher score with no active vetoes is a stronger context. Vetoes are listed explicitly so you can see *why* something is blocked.
4. Use **REGIME** to set expectations — trend-following signals make more sense in a Trend regime; the Stretch/Fade rows matter more in Range.
5. The **Entry / Stop / TP1 / TP2 lines** on price show the framework's risk levels for the current signal only; previous trade lines are removed automatically.
6. Optional feeds (reference symbol, volatility index, open interest, cross-asset) are **blank by default** — add your own symbols if you want those confluence inputs, or leave them off. The script degrades gracefully and tells you in the FEEDS row which are live.
---
## Settings worth knowing
- **Price source** — the series the whole engine runs on. Defaults to close; works on any market.
- **Optional reference feeds** — all blank by default and entirely optional, so the script is not tied to any one market or exchange. Enter symbols relevant to your instrument if you want them.
- **Adaptive length driver** — Homodyne (cycle-adaptive), Volatility, or Fixed.
- **Risk & sizing** — account equity, risk %, ATR stop multiple, and value-per-move; the size output is a suggestion only.
- **Dashboard theme** — Auto/Dark/Light; Auto flips colors to stay readable on white or black backgrounds.
- **Name / symbol / timeframe label** — kept on by default so the chart always identifies what is plotted.
---
## What makes it original
It is not a wrapper around a built-in MACD. The core is rebuilt to accept a *series* length (so it can be retuned every bar), normalized to a cross-asset z-score, gated by an explicitly classified regime, and merged with multi-timeframe state into a single weighted conviction score with named vetoes. The volatility-band fade logic and the dominant-cycle length adaptation are integrated into that same score rather than shown as separate, disconnected studies.
---
## Notes and limitations
- Confirm-on-close is on by default to avoid repainting; intrabar values can still update until the bar closes.
- The optional "Call/Put strike" row is a convenience hint derived from price and your strike interval only — **no options-chain data is read and no option P&L is implied.**
- Higher-timeframe and reference-feed requests depend on your data subscription; if a feed is unavailable the script disables the dependent input and continues.
---
## Disclaimer
This script is provided for educational and informational purposes only. It is a technical study, not investment, financial, or trading advice, and not a solicitation to buy or sell any instrument. It does not guarantee any result. Markets involve risk, including loss of capital. Indicator signals, levels, and the position-size suggestion are illustrative and must not be relied on as the basis for any trade. Always do your own research and consider consulting a licensed financial professional before trading. The author accepts no liability for any loss arising from use of this script. Past behavior of any indicator is not indicative of future results.
Indikator
Volume Pressure MACDVolume Pressure MACD is a momentum indicator built on the MACD framework,
extended with three independent volume analysis layers that work together
to weight each signal by the quality and direction of volume participation —
not just its size.
The core idea: a price move backed by high volume is more meaningful than
the same move on thin volume. But volume size alone is incomplete —
a large-volume candle where price closes near the low tells a very different
story than one where price closes near the high. This indicator attempts to
capture both dimensions.
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BACKGROUND — WHY THREE VOLUME LAYERS?
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Standard MACD is calculated purely from price EMAs and ignores volume entirely.
Most volume-weighted MACD variants address this by multiplying the MACD value
by a simple volume ratio — more volume means a stronger signal. That approach
has a limitation: it treats all high-volume candles equally, whether the close
was bullish or bearish within the candle.
Volume Pressure MACD uses three separate volume inputs, each measuring a
different aspect of market participation:
LAYER 1 — VOLUME FACTOR
Measures how current volume compares to its recent average using a power
function (math.pow). The Volume Effect input controls the exponent, which
determines how aggressively above-average volume amplifies the MACD and how
much below-average volume dampens it. At 0.1 the effect is subtle and smooth;
higher values make the indicator more reactive to volume spikes. This layer
answers the question: how much volume is there?
LAYER 2 — VOLUME PRESSURE SCORE
This is the differentiating layer. For each bar, it calculates how much of
the total volume was spent by buyers versus sellers, based on where the
closing price lands relative to the bar's high-low range:
Buy Pressure = Volume × (Close - Low) / (High - Low)
Sell Pressure = Volume × (High - Close) / (High - Low)
Net Pressure = Buy Pressure - Sell Pressure
A candle that closes at its high assigns nearly all volume to buyers.
A candle that closes at its low assigns nearly all volume to sellers.
A doji near the midpoint splits volume roughly equally and contributes
minimal pressure in either direction.
The net pressure is normalized against its recent average and then applied
as a secondary weight on the MACD — clamped to a ±30% influence so it
modulates rather than dominates the output. This layer answers the question:
in which direction was volume being used?
LAYER 3 — VOLUME MOMENTUM
Compares a 5-bar volume average against a 20-bar volume average to determine
whether market participation is currently expanding or contracting. This does
not affect the MACD calculation itself — instead it drives the 4-tone histogram
coloring, giving a visual indication of whether the current MACD move is
occurring on growing or fading volume. This layer answers the question:
is volume increasing or decreasing?
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DYNAMIC ZONE SYSTEM
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One of the practical problems with MACD-based indicators is that fixed
overbought/oversold lines are meaningless across different assets and
timeframes. MACD values on a 5-minute chart of a low-priced asset can be
a fraction of a unit, while the same indicator on a weekly chart of a
high-priced asset can reach thousands. Static horizontal lines cannot
account for this.
The zone system in this indicator is fully dynamic:
- The upper boundary (Strong Bull) is set to the highest MACD value
over the Zone Lookback period, floored at zero
- The lower boundary (Strong Bear) is set to the lowest MACD value
over the Zone Lookback period, capped at zero
- The Weak/Strong boundary is calculated as a percentage of those
extremes, controlled by the Weak/Strong Split input
- All four zone boundaries automatically adjust as new bars print
and as you switch between timeframes or assets
Zone definitions:
Strong Bull — MACD is in the upper portion of its recent historical
range; momentum is extended to the upside
Weak Bull — MACD is positive but has not yet reached historically
elevated levels; upward momentum is present but moderate
Weak Bear — MACD is negative but within the lower portion of its
recent range; downward momentum is present but moderate
Strong Bear — MACD is deep in its recent historical range; momentum
is extended to the downside
The zones are color-filled between their boundaries and labeled at the
right edge of the chart for easy reading. Bull zones are drawn in green
tones and are mathematically prevented from crossing below zero. Bear zones
are drawn in red tones and are mathematically prevented from crossing above
zero, so the zone layout always remains logically consistent regardless of
MACD behavior.
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HISTOGRAM COLORING
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The histogram uses four distinct colors based on the combination of MACD
direction and volume momentum, allowing you to read both momentum and
participation at a glance:
Dark green — histogram above zero + volume momentum expanding
(positive momentum with growing participation)
Light green — histogram above zero + volume momentum contracting
(positive momentum but participation fading)
Dark red — histogram below zero + volume momentum expanding
(negative momentum with growing participation)
Light red — histogram below zero + volume momentum contracting
(negative momentum but participation fading)
The transition from dark to light (or vice versa) within the same direction
can be an early indication of momentum exhaustion or resumption.
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SIGNAL TYPES
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▲ BUY triangle (green, bottom)
MACD crosses above Signal line AND volume exceeds the average
by the Strong Volume Multiplier threshold. Both conditions must
be true simultaneously.
▼ SELL triangle (red, top)
MACD crosses below Signal line AND volume exceeds the average
by the Strong Volume Multiplier threshold. Both conditions must
be true simultaneously.
+ Cross marker on MACD line
All MACD/Signal crossovers, regardless of volume. Plotted directly
at the crossover price level on the indicator, not at the top or
bottom of the pane.
M↑ circle (teal) — Bullish divergence on the MACD line
Price makes a lower low while MACD makes a higher low,
detected using asymmetric pivot logic.
M↓ circle (fuchsia) — Bearish divergence on the MACD line
Price makes a higher high while MACD makes a lower high.
H↑ diamond (yellow) — Bullish divergence on the Histogram
Price makes a lower low while the histogram makes a higher low.
H↓ diamond (orange) — Bearish divergence on the Histogram
Price makes a higher high while the histogram makes a lower high.
Note: MACD line divergence and histogram divergence are calculated
independently. When both trigger together it may indicate a stronger
divergence condition. When only one triggers it can reflect early or
partial divergence development.
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INFO TABLE
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A live data table in the top-right corner displays four values
for the most recent closed bar:
Diff — the current distance between the MACD and Signal lines,
with a directional arrow showing which is above the other
Vol Factor — the current volume multiplier relative to the average.
Values above 1.0 indicate above-average volume (green);
values below 1.0 indicate below-average volume (red)
Vol Momentum — whether the 5-bar volume average is above or below
the 20-bar average (Rising / Falling)
Vol Pressure — the net directional pressure score for the current bar
(Buy / Sell / Neutral), based on the pressure calculation
described above
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INPUT REFERENCE
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Fast EMA — fast EMA length for classic MACD (default 12)
Slow EMA — slow EMA length for classic MACD (default 26)
Signal EMA — signal line EMA length (default 9)
MACD Smooth — additional EMA smoothing applied to the
volume-weighted MACD line (default 3)
Volume SMA Length — lookback for calculating average volume,
used in both Volume Factor and Pressure Score
Volume Effect — exponent controlling how strongly volume
scales the MACD; lower = smoother (default 0.1)
Strong Volume Multiplier — volume must exceed average × this value
for BUY/SELL triangles to appear (default 1.5)
Divergence Lookback — pivot bar count for divergence detection;
higher values find fewer but more significant
divergences (default 5)
Zone Lookback Bars — how many bars are used to define the dynamic
zone boundaries (default 100)
Weak/Strong Split — the percentage point within the zone range
where weak ends and strong begins (default 0.35)
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COMPATIBILITY
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Works on all asset classes including equities, cryptocurrency, forex,
commodities, and indices. Compatible with all timeframes. The dynamic
zone system and volume pressure calculation are designed to produce
meaningful output regardless of the absolute price or volume scale
of the instrument.
Pine Script v5. Indikator
Indikator
Indikator
Indikator
NTR: NASDAQ M1 - Trend RunnerNASDAQ M1 - MACD Trend Runner is a systematic trend continuation strategy specifically designed and optimized for the NASDAQ index on the 1-minute timeframe.
The strategy was developed around a simple observation:
Strong directional movements in NASDAQ often emerge after temporary pullbacks toward key moving averages while underlying momentum remains intact.
Instead of attempting to predict reversals or market turning points, the objective of this framework is to identify favorable re-entry opportunities within an existing bullish environment and allow winning positions to develop through dynamic trade management.
CORE CONCEPT
The strategy combines momentum, trend structure, market positioning, and risk control into a single execution model.
A valid setup requires:
• MACD bullish crossover.
• Momentum developing from lower MACD values.
• Price trading within a defined proximity to the 200-period moving average.
• Positive higher-order trend structure measured through the slope of the 50-period moving average.
• Time-of-day filtering to focus on periods of meaningful market participation.
This combination seeks to isolate moments where price temporarily retraces into trend support before resuming directional movement.
TRADE MANAGEMENT
Risk management is based on market structure rather than fixed stop distances.
Initial stop placement is determined using recent technical lows, creating a structure-based risk framework that adapts to changing market conditions.
Once a position develops sufficient unrealized profit, the strategy transitions into a trailing stop model designed to protect gains while allowing extended trend participation.
The goal is not to maximize win rate.
The goal is to capture asymmetric reward opportunities where a limited number of successful trades can outweigh multiple small losses.
KEY FEATURES
• MACD Momentum Confirmation
• SMA200 Trend Location Filter
• SMA50 Slope Validation
• Technical Structure-Based Stop Loss
• Dynamic Trailing Stop Management
• Session-Based Time Filter
• Daily Trade Limitation Logic
• Daily Profit Protection Logic
• Visual Diagnostic System
• Re-entry Detection Framework
DESIGN PHILOSOPHY
This strategy is intentionally specialized.
It was developed, tested, and refined specifically for NASDAQ price behavior on the 1-minute timeframe.
While certain concepts may be transferable to other instruments, the framework was not designed as a universal trading system.
The primary objective is to exploit recurring short-term trend continuation behavior observed within NASDAQ intraday market structure.
DISCLAIMER
This strategy is provided for educational and research purposes only.
Past performance does not guarantee future results. All trading involves risk, and users should perform their own analysis and validation before applying any strategy in live market conditions.
Created by @Peter_n_n Strategie
