OBV MACD Indicator + ADX Filter [v6]# OBV MACD + ADX Trend Indicator
The **OBV MACD + ADX Trend Indicator** combines volume-based momentum, MACD-style trend analysis, and ADX trend-strength filtering into one tool.
The indicator is designed to help identify potential bullish and bearish momentum shifts while filtering out weaker market conditions.
## How It Works
The indicator uses a modified **On-Balance Volume (OBV)** calculation to combine price movement and volume information.
This volume-adjusted data is then processed with a selectable moving average and compared against a slower EMA to create a MACD-style momentum value.
A slope calculation is applied to the MACD output, and the resulting trend channel changes direction when momentum shifts.
The indicator also includes an **ADX filter**. Signals are only considered valid when ADX is above the selected minimum level, helping reduce signals during weak or sideways market conditions.
## Signal Logic
**Blue / Bullish Signal**
A bullish signal appears when the internal trend channel changes from bearish to bullish while the ADX value is above the selected minimum threshold.
This can be used as a potential long-entry confirmation.
**Red / Bearish Signal**
A bearish signal appears when the internal trend channel changes from bullish to bearish while the ADX value is above the selected minimum threshold.
This can be used as a potential short-entry confirmation.
## Main Features
* Volume-based OBV momentum calculation
* MACD-style momentum analysis
* Multiple selectable moving-average types
* DEMA, TEMA, TDEMA, TTEMA, HMA-based and zero-lag options
* Adjustable OBV smoothing
* Adjustable MACD slow length
* Adjustable slope sensitivity
* ADX trend-strength filter
* Custom minimum ADX threshold
* Bullish and bearish trend-change signals
* Optional pivot detection
* Alert conditions for long and short signals
## Suggested Usage
This indicator works best when combined with an additional market-direction filter.
For example:
**Long Setup**
1. Price is above VWAP.
2. VWAP slope is bullish.
3. ADX is above the selected threshold.
4. The OBV MACD indicator generates a bullish signal.
5. Enter according to your own risk-management rules.
**Short Setup**
1. Price is below VWAP.
2. VWAP slope is bearish.
3. ADX is above the selected threshold.
4. The OBV MACD indicator generates a bearish signal.
5. Enter according to your own risk-management rules.
The indicator can also be combined with market structure, support/resistance, volume profile, or higher-timeframe trend analysis.
## Important
This indicator is intended as a **confirmation and momentum tool**, not as a complete standalone trading strategy.
Signals should always be combined with proper risk management, stop-loss placement, and independent backtesting.
Performance may vary depending on the market, timeframe, trading session, and selected settings.
Indicator
MACD Momentum Phase & Acceleration ObservatoryMACD Momentum Phase & Acceleration Observatory is a current-chart momentum research indicator that extends the familiar MACD line, Signal line, and Histogram into a structured view of separation, expansion, contraction, equilibrium, relative magnitude, and crossover-cycle behavior.
The script is designed for users who want to study how MACD momentum changes rather than rely only on a line crossover. It is a descriptive context tool. It does not generate Buy or Sell instructions, predict future price movement, estimate win rate, or manage risk.
WHAT IT SHOWS
- A configurable MACD line, Signal line, and state-colored Histogram.
- Five descriptive momentum phases.
- A noise-aware expansion and contraction model.
- An adaptive Near Equilibrium state with separate entry and exit boundaries.
- Three display scales: Raw MACD, Percent of Slow Average, and ATR Units.
- A robust rolling Histogram magnitude score.
- A subdued-to-reactivated magnitude sequence.
- Cross-cycle peak retention.
- MACD path efficiency.
- A compact or detailed context readout.
- Optional factual event markers and alert conditions.
WHY THIS IS MORE THAN A STANDARD MACD
A standard MACD primarily shows the relationship between a fast moving average, a slow moving average, and a smoothed Signal line. This script keeps that familiar structure, but its main contribution is a coordinated lifecycle model built around the MACD Histogram.
The distinguishing design consists of:
- separating the raw analytical engine from display normalization;
- classifying the Histogram into five momentum phases;
- filtering small expansion/contraction changes with an adaptive noise deadband;
- reducing equilibrium-boundary flapping with entry/exit hysteresis;
- measuring relative Histogram magnitude with rank-based methods;
- tracking reactivation after a sustained subdued sequence;
- measuring how much Histogram separation remains inside the active crossover cycle; and
- measuring whether the MACD path has been direct or rotational over a selected lookback.
These components are designed to describe different parts of one MACD separation lifecycle. They are not independent indicators combined without a shared purpose.
CORE MACD ENGINE
The raw calculations are:
Raw MACD = Fast Moving Average - Slow Moving Average
Raw Signal = Moving Average of Raw MACD
Raw Histogram = Raw MACD - Raw Signal
The Fast, Slow, and Signal calculations can each use one of the following moving-average methods:
- EMA
- SMA
- RMA
- WMA
- HMA
The source and all lengths are configurable. Fast Length must remain lower than Slow Length. If the configuration is invalid or the selected scale is unavailable, the context readout reports the condition instead of presenting a normal Ready state.
RAW ANALYTICAL CORE AND DISPLAY SCALE
The analytical state is calculated from the raw MACD structure. Display normalization is handled separately.
Available display modes are:
Raw MACD
Shows the MACD components in their native chart-price units.
Percent of Slow Average
Divides MACD, Signal, and Histogram by one percent of the absolute Slow Average value.
ATR Units
Divides MACD, Signal, and Histogram by the current ATR value using the selected ATR length.
The same positive divisor is applied to all three displayed components on each bar. More importantly, crossover events, zero crossings, phase classification, magnitude scoring, path efficiency, and cycle retention are calculated from the raw series. Changing the display mode therefore changes the visual unit, but it does not rewrite the underlying analytical event history.
FIVE-STATE MOMENTUM PHASE MODEL
The Histogram is classified into five descriptive states:
Positive Expansion
The raw Histogram is above zero and its absolute magnitude is expanding beyond the adaptive noise deadband.
Positive Contraction
The raw Histogram is above zero and its absolute magnitude is contracting.
Negative Expansion
The raw Histogram is below zero and its absolute magnitude is expanding.
Negative Contraction
The raw Histogram is below zero and its absolute magnitude is contracting.
Near Equilibrium
The absolute raw Histogram is inside the adaptive equilibrium boundary.
Expansion and contraction are based on the smoothed one-bar change in absolute Histogram magnitude. The script also estimates ordinary recent one-bar magnitude movement. That estimate creates an adaptive deadband. When the current magnitude change is too small to distinguish clearly from recent noise, the prior motion state is retained instead of forcing another Expansion/Contraction switch.
ADAPTIVE EQUILIBRIUM WITH HYSTERESIS
The equilibrium entry boundary is calculated from an EMA of the absolute raw Histogram multiplied by the Equilibrium Band Multiplier.
Once Near Equilibrium is active, the exit boundary is wider than the entry boundary:
Exit Boundary = Entry Boundary x Equilibrium Exit Hysteresis
Using separate entry and exit boundaries reduces rapid state changes when the Histogram repeatedly moves just above and below one threshold.
HISTOGRAM ACCELERATION
Histogram Acceleration is the smoothed one-bar change of the Histogram. The detailed readout can display the current value and direction. Optional acceleration-turn markers and alerts identify factual zero crossings in the raw acceleration measure.
The acceleration value shown in the readout follows the selected display unit. The five-state phase model remains based on the raw Histogram structure.
ROBUST HISTOGRAM MAGNITUDE SCORE
The Magnitude field measures the current absolute raw Histogram relative to its own recent history. It is bounded from 0 to 100 and offers three methods:
Percent Rank
Ranks the current absolute Histogram among observations in the selected lookback. This method is less dominated by one isolated extreme value.
Range Rank
Locates the current absolute Histogram between the rolling minimum and rolling maximum.
Hybrid Rank
Combines 65 percent Percent Rank with 35 percent Range Rank. This is the default method.
The score is classified as:
- Subdued
- Typical
- Extended
These labels describe relative recent magnitude only. They are not probabilities, confidence levels, overbought/oversold signals, or forecasts.
MAGNITUDE REACTIVATION
Magnitude Reactivation is a stateful sequence, not a directional trade signal.
The sequence works as follows:
1. The Magnitude score remains at or below the Subdued threshold for at least the selected Minimum Subdued Bars.
2. The reactivation condition becomes armed.
3. A reactivation event is recorded when the score reaches the Magnitude Reactivation threshold.
The default visual marker is a small yellow dot at the top of the pane. It indicates that relative Histogram magnitude has re-emerged after a sustained subdued sequence. It does not specify bullish or bearish direction.
CROSS-CYCLE PEAK RETENTION
A cross cycle begins whenever the raw MACD line crosses the raw Signal line.
During the active cycle, the script records the largest absolute raw Histogram magnitude. Cross-Cycle Peak Retention is calculated as:
Current Absolute Histogram / Active-Cycle Peak Absolute Histogram x 100
A value near 100 means the current separation is near the largest separation recorded in that crossover cycle. A lower value means more of that cycle's peak separation has contracted. This measurement is descriptive and does not determine whether price will continue or reverse.
MACD PATH EFFICIENCY
MACD Path Efficiency compares the net displacement of the raw MACD line with the total distance traveled by the raw MACD line over the selected lookback:
Absolute Net MACD Displacement / Sum of Absolute One-Bar MACD Changes x 100
A higher value describes a more direct MACD path. A lower value describes a more rotational or back-and-forth path. It is not a measure of profitability, trend quality, or future reliability.
CONTEXT READOUT
The Context Readout can be disabled or shown in Compact or Detailed mode.
Compact mode shows:
- Phase
- Location relative to zero
- Histogram value
- Magnitude score and state
- Configuration status
Detailed mode additionally shows:
- Histogram Acceleration
- Phase Age
- Bars in the active cross cycle and Peak Retention
- MACD Path Efficiency
- Confirmed or Live bar status
The table position, text size, header size, background, border, and row presentation are configurable.
VISUAL DESIGN
The default palette separates the line family from the Histogram family:
- MACD line: ice white
- Signal line: electric blue
- Positive Expansion: bright green
- Positive Contraction: teal
- Negative Expansion: magenta
- Negative Contraction: orange
- Near Equilibrium: vivid purple
- Magnitude Reactivation: yellow
The Histogram uses a depth layer and a narrower core layer. The MACD and Signal lines can use optional glow and separation fill. The adaptive equilibrium band, zero guide, phase rail, and background tint can be enabled or disabled independently.
EVENT MARKERS AND ALERTS
Default factual markers are:
- a small upward arrow at the pane bottom when MACD crosses above Signal;
- a small downward arrow at the pane top when MACD crosses below Signal; and
- a small yellow dot at the pane top when Magnitude Reactivation occurs.
Optional markers are available for:
- Histogram Acceleration turning positive or negative; and
- MACD crossing above or below zero.
Alert conditions are available for the same events and for each phase transition. These events describe calculated state changes. They are not trade-entry or trade-exit recommendations.
REALTIME AND CONFIRMED-BAR BEHAVIOR
Confirmed Bars Only is enabled by default.
With the default setting:
- markers and alert conditions trigger after the chart bar closes;
- stateful Magnitude Reactivation updates are committed on confirmed realtime bars; and
- the committed cross-cycle peak is updated on confirmed realtime bars.
The MACD lines, Histogram, phase display, and context readout can still change while the current bar is forming because their inputs change with live price. This is normal realtime behavior. Users who disable Confirmed Bars Only intentionally allow intrabar events, which can change before the bar closes.
The script uses the current chart timeframe only. It does not request another symbol or timeframe, use lookahead, access future data, or apply a future plot offset.
HOW TO USE THE INDICATOR
1. Start with Location and Phase.
Location shows whether raw MACD is above or below zero. Phase shows whether Histogram magnitude is expanding, contracting, or near equilibrium.
2. Add Magnitude context.
Use Subdued, Typical, and Extended as rolling relative-magnitude descriptions. Do not interpret them as probabilities.
3. Observe reactivation after subdued conditions.
A yellow dot identifies a transition from a sustained subdued sequence to a higher relative magnitude. Read its direction from the Histogram sign and phase, not from the dot itself.
4. Use Detailed mode for lifecycle context.
Phase Age shows duration. Cross-Cycle Peak Retention shows how much separation remains relative to the active cycle peak. Path Efficiency shows whether the MACD path has been direct or rotational.
5. Select a suitable display unit.
Raw MACD preserves native units. Percent of Slow Average and ATR Units can make the pane easier to read on symbols with different price or volatility scales. Analytical states remain based on raw MACD.
DEFAULT CONFIGURATION
The default core uses 12-period EMA, 26-period EMA, and a 9-period EMA Signal line with Close as the source.
The default research settings use:
- Raw MACD display
- 3-bar acceleration smoothing
- 8-bar phase-noise estimation
- 0.25 phase-noise multiplier
- 34-bar adaptive equilibrium basis
- 0.28 equilibrium entry multiplier
- 1.25 equilibrium exit hysteresis
- 120-bar Hybrid Magnitude Rank
- 20 / 35 / 80 Subdued, Reactivation, and Extended thresholds
- 3 Minimum Subdued Bars
- 20-bar MACD Path Efficiency
- Compact Context Readout
- Confirmed Bars Only enabled
The defaults are general starting points, not optimized settings for a specific symbol or timeframe.
LIMITATIONS
- MACD is derived from moving averages and therefore contains lag.
- Expansion, contraction, equilibrium, magnitude, retention, and efficiency describe the current and historical calculation state; they do not forecast price.
- Results depend on the selected source, moving-average methods, lengths, smoothing, lookbacks, and thresholds.
- Rank-based measurements are relative to a rolling window and can change as old observations leave that window.
- Frequent MACD/Signal crossings create shorter cross cycles and can make Peak Retention change quickly.
- Low-liquidity symbols, gaps, abrupt price changes, and very short timeframes can produce rapid state transitions.
- The open bar remains fluid until it closes.
- The script does not include position sizing, stop placement, targets, backtesting, or risk management.
Use the indicator as one transparent source of momentum context alongside independent price analysis and risk controls. Indicator
MACD/RSI/VWAP/MA/S&R BulkThis all-in-one script packs five of the market's most essential technical analysis tools into a single indicator slot. By combining momentum, trend, volume, and structural levels, you get a complete institutional-grade workspace without hitting upgrade walls or paying monthly subscription fees.
☕ If this indicator helps you optimize your charts and save on subscription costs, consider supporting my work! Buy me a coffee here: ko-fi.com
(Need a custom indicator built specifically for your trading strategy? Reach out for custom Pine Script development!)
🛠️ What's Included in the Bulk Suite?
Dual Moving Averages (MA): Fully customizable fast and slow moving averages. Choose your preferred calculation type (SMA, EMA, WMA, HMA, VWMA, RMA), set your exact lengths, and track trend direction directly on your chart.
VWAP (Volume Weighted Average Price): The gold standard for tracking intraday institutional fair value and average price execution.
Support & Resistance (S/R): Automatically plots historical swing points with clean vertical breaks (linebr), giving you clear structural boundaries for breakout and pullback planning.
MACD (Moving Average Convergence Divergence): Standard momentum and trend-following oscillator to capture shifts in market velocity.
RSI (Relative Strength Index): Essential momentum oscillator with customizable overbought and oversold levels to spot exhaustion and reversals.
⚙️ Full Customization & Control
Every single tool inside this suite comes with independent settings. You can completely toggle individual indicators on or off, adjust their lookback lengths, and fine-tune colors to keep your workspace clean, organized, and tailored precisely to your personal trading plan. Indicator
Indicator
NeuPortal - Base Rate SignalsFive standard entry rules running simultaneously on the price chart: moving average crossover, RSI reversal, MACD cross, Bollinger re-entry and Stochastic cross. Each marks its own small triangle under or over the candle, tagged with the rule that fired it. When several agree on the same bar, a consensus label is drawn.
That part is ordinary. Thousands of scripts do it.
THE NUMBER EVERY SIGNAL SCRIPT LEAVES OUT
Each rule is scored live against the base rate on your chart. The table prints three things per rule:
hit - how often that rule was followed by a move in its own direction
base - how often ANY bar was followed by that same move over the same window
edge - the difference
That difference is the only thing an entry rule can honestly claim.
A rule that hits 54% sounds like an edge until you ask what a bar picked at random scores. In a market that drifted upward over the sample, "price is higher 20 bars later" might be true 53% of the time whatever you do. A rule at 54% against a 53% baseline has found almost nothing. Every signal indicator in existence reports the 54 and omits the 53.
The edge will often be small and sometimes negative. That is the expected result, not a fault in the script. On ETHUSDT 4h at the time of writing, a WMA 21/65 crossover long scores 44.7% against a base rate of 51.1% - an edge of minus 6.4 across 123 signals and 10,026 scored bars. Buying a random bar would have been better than buying that signal.
THE CONSENSUS ROW IS AN EXPERIMENT, NOT A FEATURE
"Three indicators confirm the entry" rests on an assumption nobody checks: that three indicators are three pieces of evidence.
They are not. Measured over 19,580 four-hour bars of full Binance history, the rank correlation between these families runs around 0.80. Stochastic against Williams %R reaches 0.92; RSI against CCI 0.90. For n readings correlated at r, the effective number of independent readings is about n / (1 + (n - 1) * r). Five rules at 0.80 come to roughly 1.4.
So set how many rules must agree, and watch what happens. If agreement were evidence, the edge would rise as the threshold rises. Usually only the signal count falls. Trading less often for the same expectation is not an improvement, and this is the first indicator I know of that lets you see that rather than assume it.
TIMING
Three modes. Confirmed waits for the bar to close and never changes afterwards. Anticipate fires one bar earlier by projecting each rule's spread across zero, so some of those crosses never happen. Live fires on the unfinished bar and repaints.
Switch between them and watch the edge column. Earlier is only better if the edge improves, and usually it does not. Note that in Live mode the historical percentages were not earned under those conditions - history contains no unfinished bars, so every past signal was scored as confirmed. Live mode flatters itself, and the table marks it.
HOW THE SCORING WORKS
A signal counts as correct if price closed higher (long) or lower (short) a fixed number of bars later. Every count uses only bars that had already completed when the label was drawn, so nothing repaints and no percentage knows anything the chart did not. Early in a chart the sample is tiny and the table says "too few" rather than printing a flattering number from six observations.
WHAT THIS IS NOT
Not a strategy and not advice. Hit rate says nothing about the size of wins against losses: a rule right 60% of the time can lose money steadily. This measures direction only, over one fixed horizon, with no costs, no slippage and no position sizing.
It is a tool for finding out whether a familiar rule does anything at all on your instrument. The usual answer is very little, and knowing that is worth more than another arrow.
Indicator
5 Trend Indicators Combo IndicatorThe 5 Trend Indicators Combo with Retest Logic: A Comprehensive Guide
The "5 Trend Indicators Combo Indicator" is an advanced, multi-faceted technical analysis tool built using Pine Script for PulseWire. Its primary purpose is to identify high-probability trend reversals and continuations by aggressively filtering out market noise and minimizing false breakout signals. Instead of relying on a single, isolated metric—which can often be misleading—this script utilizes a robust "confluence" methodology. It systematically evaluates five distinct, highly respected trend-following indicators, aggregating their individual statuses into a unified scoring system. Furthermore, it elevates standard signal generation by incorporating an intelligent pullback (retest) mechanism, explicitly designed to optimize entry prices so that traders do not buy at the absolute top or sell at the bottom of a sudden, volatile price spike. Additionally, it features a built-in graphical dashboard that allows traders to instantly monitor the bullish or bearish status of all five indicators in real-time.
Working Mechanism: How does it detect trading signals?
The core engine of this script evaluates five technical pillars, each contributing a maximum of one point to a total "Bull Score" or "Bear Score":
1. Exponential Moving Average (EMA): Defaulted to a 50-period length, the EMA establishes the chart's baseline directional bias. A bullish point is awarded if the current closing price is strictly above the EMA, and a bearish point is given if it is below.
2. Average Directional Index (ADX) & DMI: This component measures the absolute strength and direction of a trend. To score a point, the ADX value must exceed a specific threshold (defaulted to 20), acting as a strict filter to ensure the market is actually trending rather than chopping in a sideways range. Once this threshold is met, the Directional Indicators dictate the bias: +DI must be greater than -DI for a bullish point, and vice versa for a bearish point.
3. Moving Average Convergence Divergence (MACD): Operating with standard 12, 26, and 9 periods, the MACD assesses momentum shifts. The script requires strict criteria here: for a bullish score, the MACD line must be above the Signal line *and* above the zero baseline. Bearish points require the MACD line to be completely below both.
4. Supertrend:Utilizing a multiplier of 3.0 and an ATR period of 10, the Supertrend acts as a volatility-adjusted trailing stop. It awards a point depending on whether the current trend is mathematically calculated as bullish (direction < 0) or bearish (direction > 0).
5. Ichimoku Cloud (Kumo): The script analyzes the relationship between the closing price and the Kumo (Cloud), which is defined by Senkou Span A and Span B projected 26 periods into the future. A bullish point is granted only if the price has successfully broken out above the top boundary of the cloud, signifying dominant long-term momentum. A bearish point requires a breakdown below the bottom boundary.
Once the overall score is tallied (ranging from 0 to 5), the script compares it against a user-defined "Minimum Confluence Score". When the score crosses this threshold, an initial trend signal is generated. However, the script's standout technical feature is its "Retest / Pullback" logic. Instead of firing the final execution alert immediately upon the breakout, the script enters a "pending" state. It calculates a dynamic retracement target using an Average True Range (ATR) multiplier. For a buy signal, the price must briefly retrace down to `Close - (ATR * Multiplier)`. The script waits for a maximum number of candles (default is 3) for this pullback to occur. If the price successfully touches this retest level, a highly optimized, safe entry is signaled. If the time expires without a retest, the script automatically fires a delayed entry to ensure the trader does not miss a runaway trend.
How to Use: Optimal Settings and Suitable Markets
To deploy this indicator effectively, traders should focus on optimizing the 'Minimum Confluence Score'. A score of 3 is the recommended baseline, offering a healthy balance between trade frequency and signal accuracy. Increasing this to 4 or 5 will result in much stricter, albeit fewer, high-conviction signals. The Retest ATR Multiplier and Max Wait Bars must be adjusted according to the timeframe; faster timeframes might require smaller ATR multipliers to successfully catch brief micro-pullbacks before the timer expires.
Regarding suitable markets, this indicator is exclusively designed for trending environments. It performs exceptionally well in high-liquidity, directional markets such as major Forex pairs (e.g., EUR/USD, GBP/JPY), large-cap cryptocurrencies (Bitcoin, Ethereum), and major stock indices (S&P 500, NASDAQ). Because it relies heavily on trend-following logic and moving averages, it is most appropriate for medium to higher timeframes, particularly the 1-hour, 4-hour, and Daily charts. Using it on extremely low timeframes (like 1-minute or 3-minute charts) may expose it to excessive intraday noise and erratic wicks, though the ADX filter and Retest mechanism will actively attempt to mitigate those risks. Ultimately, this script transforms a standard chart into a highly systematic, rule-based trading system. Indicator
Confluence Suite: Pivot Points SuperTrend Confluence Suite: PP SuperTrend + VWAP + MACD + RSI + ADX + Volume
A multi-factor confluence dashboard built around Pivot Point SuperTrend, designed for futures trading on any timeframe.
Overview
This indicator combines six widely-used tools into a single confluence system with a live on-chart dashboard:
Pivot Point SuperTrend — the core trend/entry engine, using pivot highs/lows instead of a simple moving midpoint to anchor its ATR bands
VWAP — session-anchored, used to gauge whether price is trading with or against the volume-weighted average
MACD — momentum confirmation and early continuation signals
RSI — momentum/overbought-oversold context
ADX / DMI — trend-strength filter, so signals can be weighted by whether the market is actually trending or chopping
Volume — flags above-average participation and volume spikes
Higher-timeframe (HTF) bias filter — checks trend direction on a higher timeframe (EMA-based or ATR SuperTrend-based) before treating a signal as confirmed
All of this feeds a compact on-chart dashboard table that shows the live bias of every component at a glance, plus a running bullish/bearish confluence score.
How signals work
Raw flip signals — small triangles mark every Pivot Point SuperTrend direction flip
Confirmed signals — larger LONG/SHORT labels fire when a flip is also aligned with the HTF bias filter (and optionally ADX strength), meant to filter out lower-quality flips
Continuation signals — smaller circular markers that fire while an existing trend is still active, triggered by a pullback-and-reclaim of a short EMA, an RSI reset through 50, or a MACD cross (configurable), so the tool isn't limited to a single signal per swing
Dashboard
A table (position and size configurable) shows the current bias of PP SuperTrend, VWAP, MACD, RSI, ADX, Volume, HTF Bias, and Continuation mode, along with an aggregate bull/bear confluence count — useful for judging signal quality at a glance rather than reading each indicator separately.
Inputs
Every component is independently configurable: Pivot Point period, ATR factor/period, VWAP source, MACD lengths, RSI length/levels, ADX/DMI length and strength threshold, volume MA length and spike multiplier, HTF timeframe and bias method, continuation trigger type and cooldown, and dashboard placement/size. Built-in alert conditions are included for raw flips, confirmed signals, and continuation signals.
How to use it
This is a discretionary confluence tool, not a standalone automated strategy. It's best used to:
Gauge whether a Pivot Point SuperTrend flip has broader support from momentum, volume, and higher-timeframe trend before acting on it
Track ongoing trend health via the continuation signals and dashboard, rather than only reacting at the initial flip
Filter out lower-quality setups using the ADX and HTF alignment options
As with any indicator, backtest and forward-test on your specific instrument and timeframe before trading it live, since default settings won't be optimal for every market or volatility regime.
Credits and originality
The core trend engine is an original implementation of the Pivot Point SuperTrend technique, a widely used community approach that anchors SuperTrend-style ATR bands to pivot highs/lows rather than a simple moving midpoint — a method popularized on PulseWire by LonesomeTheBlue. This script's contribution is combining that engine with VWAP, MACD, RSI, ADX, volume, an HTF bias filter, a continuation-signal engine, and a unified live dashboard into one integrated confluence tool, rather than requiring multiple separate indicators on the chart.
Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading futures involves substantial risk of loss and is not suitable for all investors. Past performance of any strategy or setup does not guarantee future results. Always do your own research and risk management before trading. Indicator
MACD Dynamic Squeeze Pro [ZynAlgo]1. Technical Overview
ZynAlgo MACD Dynamic Squeeze Pro is a momentum-context indicator built from the traditional MACD concept. Instead of trying to pick tops and bottoms against the trend, it focuses on trend-following shakeouts, energy compression, and breakout confirmation after a squeeze phase.
2. Chart Reading & UI Guide
ZynAlgo Ribbon
The area between the MACD line and Signal line is filled with Green/Purple ribbon colors.
The ribbon helps traders quickly see which side currently has momentum control.
Use the ribbon as context for your own trading approach, not as a standalone entry trigger.
4-State Histogram
Neon Green highlights bullish acceleration.
Neon Purple highlights bearish acceleration.
Faded colors warn that momentum is losing strength or price may be stagnating.
Diamond Marker on Main Chart
The breakout context marker is plotted directly on the main price chart.
This reduces the need to constantly switch attention between the oscillator pane and price candles.
Treat the marker as a context alert that should be confirmed with your own entry method, risk plan, and market structure.
3. Zyn Explosion Logic
The Green/Purple diamond markers appear only when the indicator detects several conditions together:
Trend Filter: The MACD and Signal lines must both be above the Zero line for bullish trend context, or both below the Zero line for bearish trend context.
Squeeze Phase: The histogram compresses, showing that the market is consolidating or shaking out traders.
Explosion Phase: After the squeeze, MACD crosses the Signal line with enough timing alignment to suggest momentum expansion.
This is a context/analysis tool, not a signal generator. The marker identifies a possible momentum continuation area, but it does not execute trades or guarantee direction.
4. Settings Explanation
Momentum Average Length
Controls the period used to calculate the average volatility of the histogram.
This average becomes the baseline for detecting whether current momentum is compressed.
Squeeze Compression Ratio
Controls how tightly the histogram must compress before the market is considered to be in a squeeze phase.
For example, 0.5 means the current histogram column must compress to less than 50% of the average.
Lower values reduce marker frequency and make the squeeze requirement stricter.
Squeeze Valid Lookback
Defines how many bars after the squeeze phase the MACD cross can still qualify.
This helps reject late or off-beat crossover events.
5. Recommended Presets
Gold Breakout - XAUUSD 5m/15m
Squeeze Average Length: 20
Squeeze Compression Ratio: 0.4
Valid Lookback: 3
Useful when gold creates short-term shakeouts before starting a stronger trend move.
Crypto Trend Following - BTC/ETH 15m/1H
Squeeze Average Length: 30
Squeeze Compression Ratio: 0.5
Valid Lookback: 5
Useful when crypto spends longer periods in sideways consolidation before momentum expansion.
6. Best Practices & Limitations
Use this tool as momentum and squeeze context for your own framework.
Confirm any trade idea with price structure, session context, volatility, and risk planning.
A diamond marker is not an automatic buy or sell instruction.
This tool does not predict price movement.
You alone are responsible for your trading decisions.
No tool eliminates risk or guarantees results.
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Indicator
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.
Indicator
Multi-TimeFrame Multi-Indicator Dashboard🚀 Multi-Timeframe Multi-Indicator Market Structure Dashboard
🟢 Overview
The **Multi-Timeframe Multi-Indicator Dashboard** is an all-in-one market scanner designed to give traders an immediate, high-level view of an asset's trend across multiple layers of time. Instead of constantly flipping between charts or cluttering your workspace with dozens of indicators, this script compiles key moving averages, momentum oscillators, and volatility indicators into a single, highly readable table directly on your primary workspace.
This tool is optimized for **Equities, Forex, Crypto, Indices, and Commodities traders** who rely on multi-timeframe confluence to confirm high-probability trade setups and eliminate analysis paralysis.
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🛠️ Key Features
**Multi-Timeframe Confluence Matrix:** Instantly track market structure across 6 default timeframes: **5M, 15M, 1H, Daily, Weekly, and Monthly**.
**8 Integrated Technical Metrics:**
**Trend Identification:** SMA 9, SMA 20, SMA 50, SMA 100, and SMA 200.
**Momentum & Volatility:** Relative Strength Index (RSI 50-line crossover), MACD Histogram (bullish/bearish momentum shifts), and SuperTrend.
**Fully Customizable Layout:** Toggle specific timeframes or indicators on/off via the user inputs menu to perfectly match your trading style. You can also change the table position (e.g., top-right, bottom-left) and text size.
**Smart Alert Engine:** Configure the script to send real-time alerts the exact moment an indicator shifts states (Bullish $\leftrightarrow$ Bearish) on your primary timeframes.
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🎛️ Settings & Customization
1. **Dashboard Display:** Control the visibility, positioning anchor (top-right, bottom-right, top-left, bottom-left, middle-right, middle-left), and text scaling of the canvas table.
2. **Timeframes to Display:** Toggle individual columns to focus strictly on scalping or macro swing horizons.
3. **Indicators to Display:** Strip out unnecessary lines to match your personal strategy components.
4. **SuperTrend Settings:** Manually adjust the ATR Length and Multiplier inputs for tighter or wider trend bands.
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📝 Disclaimer
This indicator is built purely for analytical visualization and informational purposes. It does not constitute financial advice. Always practice strict risk management and combine dashboard confirmation with your own broader trading plan. Indicator
Macd matrix eliteMACD Matrix Elite is a momentum dashboard built around the MACD, with additional context from dynamic overbought/oversold zones, RSI, Stochastic, divergences, confluence points, and live signal scoring.
The main idea is to keep the MACD readable while adding enough context to avoid looking at a simple crossover in isolation. A MACD cross can be useful, but it is often more meaningful when it happens near an extreme zone, with improving histogram momentum, or with confirmation from another oscillator.
The script uses the standard MACD structure:
- Fast EMA
- Slow EMA
- MACD line
- Signal line
- Histogram
Around that core, the indicator adds dynamic OB/OS zones based on normalized ATR. This means the extreme areas can adapt to current market volatility instead of relying only on fixed horizontal levels.
Additional filters are used as context:
- RSI overbought/oversold readings
- Stochastic overbought/oversold readings
- MACD histogram direction
- MACD zero-line crosses
- Regular and hidden divergences
- Bullish and bearish confluence points
- Strength score and reversal pressure panels
The background is designed to help quickly identify the current environment. Green-toned areas usually represent bullish pressure, red-toned areas bearish pressure, and neutral zones show when the market is less extended.
How to read the main signals:
A bullish MACD cross happens when the MACD line crosses above the signal line. This can show that momentum is improving. It becomes more interesting when the histogram is rising, price is recovering from an oversold area, or RSI/Stochastic are also showing exhaustion to the downside.
A bearish MACD cross happens when the MACD line crosses below the signal line. This can show that momentum is weakening. It becomes more interesting when the histogram is falling, price is coming from an overbought area, or RSI/Stochastic are also showing exhaustion to the upside.
The zero line is an important reference. When MACD crosses above zero, bullish momentum is usually gaining broader confirmation. When MACD crosses below zero, bearish momentum is usually gaining broader confirmation.
The confluence points appear when several conditions align. They are not meant to be blind entry signals. They are visual markers showing that multiple parts of the momentum model are pointing in the same direction.
Beginner example 1:
The MACD line crosses above the signal line while the histogram starts rising from below zero. RSI and Stochastic are also coming from oversold levels. This does not guarantee a reversal, but it gives a trader a cleaner bullish setup to investigate on price action.
Beginner example 2:
The MACD line crosses below the signal line after a strong upside move. The histogram begins to fall and the script shows an overbought environment. This can warn that bullish momentum is cooling. A beginner can then check whether price is rejecting resistance or breaking a local support.
Beginner example 3:
Price makes a higher high, but the MACD makes a lower high. If a bearish divergence is confirmed, it can show that the new price high is not supported by stronger momentum. This can help traders become more cautious with long positions.
Beginner example 4:
Price makes a lower low, but the MACD makes a higher low. If a bullish divergence is confirmed, it can show that downside pressure is weakening. It is usually better to wait for confirmation from price structure instead of entering only because the divergence appeared.
About the score:
The score is a visual summary of several conditions inside the script. It compares bullish and bearish momentum factors such as crosses, histogram direction, OB/OS zones, confluence, and divergences. A higher score means more conditions are aligned, not that the trade is guaranteed to work.
About the signal history:
The signal history panel is designed as a visual tracking tool. It helps review how previous marked conditions evolved using the script’s internal SL/TP model. It should not be treated as a full backtest or as a guarantee of future results.
Useful settings:
- Use Dynamic OB/OS if you want the zones to adapt to volatility.
- Lower the minimum signal score if you want more signals.
- Raise the minimum signal score if you want fewer but more selective signals.
- Disable panels if you prefer a cleaner chart.
- Keep divergence labels enabled if you use momentum divergence in your analysis.
Best use:
MACD Matrix Elite works best as a momentum context tool. It can help identify shifts in pressure, exhaustion zones, confluence areas, and possible momentum divergences. For better decision-making, combine it with trend structure, support and resistance, volume, and risk management.
Limitations:
This indicator does not predict future price movement. Strong trends can keep MACD, RSI, or Stochastic extended for a long time. Divergences can fail in high momentum markets. The score and panels are there to organize information, not to replace a complete trading plan. Indicator
Multi-Oscillator Divergence ConfluenceMulti-Oscillator Divergence Confluence (MODC)
MODC is a three-layer divergence analysis indicator built to make oscillator divergence easier to read without turning the chart into a wall of labels.
The script evaluates RSI, MACD, Stochastic, CCI, MFI, and OBV at the same confirmed price pivots. This shared-pivot approach keeps oscillator votes aligned to the same market structure point instead of mixing unrelated oscillator pivots.
The goal is not to create a standalone buy/sell system. MODC is designed as a visual confirmation and context tool for traders who already use market structure, trend context, and risk management.
What makes MODC different
MODC is built as a three-layer system:
1. Always-on market context
The pane stays useful on every bar, even when no divergence signal is active.
It includes:
- A Confluence Pressure Wave from 0 to 100.
- A regime ribbon identifying Trending, Ranging, Volatile, or Quiet conditions using ADX and ATR percentile.
- An oscillator stack histogram showing whether more enabled oscillators are leaning bullish or bearish.
- Subtle pressure background zones when divergence pressure builds.
This layer helps show the “story” before a confirmed signal appears.
2. Informational Setup layer
In Exploratory mode, subtle setup dots appear when divergence pressure builds near a recent swing extreme.
A Setup is not a confirmed divergence signal. It is only a watch-list event.
Setup dots require:
- Pressure wave crossover.
- At least two oscillators leaning in the same direction.
- Price near a recent swing high or swing low using ATR-based proximity.
Setup alerts are disabled by default because Setups are pre-confirmation events and may never become confirmed pivot divergences.
3. Confirmed Valid and Elite signals
Confirmed signals are based on price pivots. A pivot only confirms after the selected Pivot Right Bars have closed.
Valid signals require:
- A confirmed price pivot.
- Minimum oscillator confluence.
- A base score threshold.
- Hidden divergences aligned with EMA context.
Elite signals require Valid conditions plus a stricter quality gate:
- EMA context.
- ADX trend-strength rules.
- Regime-adaptive score threshold.
- Optional volume gate.
- Optional historical forward-return proxy gate.
Signal labels are compact:
- RB = Regular Bullish
- HB = Hidden Bullish
- RS = Regular Bearish
- HS = Hidden Bearish
The number beside the label is the signal score. Visual intensity scales with score:
- 50-65 = muted
- 66-79 = clear
- 80+ = premium / Elite
How the scoring works
Scoring is intentionally conservative and always based on confluence out of six oscillators. Disabling oscillators does not inflate the score.
The score considers:
- Oscillator confluence count.
- Correct reversal or continuation context.
- Whether enabled oscillators are in exhaustion zones.
- Volume participation.
- Pivot spacing quality.
- Market regime alignment.
- A penalty when fewer than four oscillators are enabled.
Regular divergence and hidden divergence are treated differently:
- Regular Bullish = potential reversal from weakness.
- Regular Bearish = potential reversal from strength.
- Hidden Bullish = potential trend continuation above the EMA.
- Hidden Bearish = potential trend continuation below the EMA.
Display modes
Signal Density:
- Conservative: Elite only.
- Balanced: Valid + Elite. This is the default.
- Exploratory: Setup + Valid + Elite.
Visual Intensity:
- Minimal: pressure wave and confirmed badges only.
- Standard: pressure wave, regime ribbon, stack histogram, confirmed lines and badges.
- Cinematic: Standard mode plus Elite aura, candle tint, stronger atmosphere, and compact HUD stats.
Suggested usage
Start with:
- Signal Density: Balanced
- Visual Intensity: Standard
Use Layer 1 to understand market context. Treat Setup dots as early watch-list information only. Use Valid and Elite signals as confirmation points, not automatic entries.
For alerts, use the confirmed Valid or Elite alert conditions and set alerts to Once Per Bar Close.
Repaint and delay disclosure
Confirmed Valid and Elite outputs are evaluated on closed bars.
Because this script uses confirmed pivots, a divergence signal is only known after Pivot Right Bars have closed. The marker is drawn back on the pivot bar for visual alignment only. The signal was not actionable on the original pivot bar.
The Setup layer is different: Setups are informational pressure events, not confirmed divergence signals. They may never become confirmed signals.
Forward-return proxy disclosure
MODC includes optional forward-return proxy statistics for visible chart history. These are in-sample summaries only.
They are not a backtest. They do not include commissions, slippage, position sizing, stops, targets, or risk management. They should not be interpreted as expected future performance.
Limitations
Divergence can fail, especially during strong trends or news-driven moves. Oscillators are related momentum tools, so confluence does not guarantee independence. This indicator should be used with broader market structure, trend analysis, and a defined risk plan.
This script is for analysis and education only. It is not financial advice and is not a standalone trading system. Indicator
Indicator
Adaptive Swing Matrix | MouryaThis indicator provides a Multi-Timeframe (MTF) table matrix designed to display the real-time states of several standard momentum and trend indicators across 11 user-defined timeframes simultaneously.
The primary purpose of this script is to consolidate chart real estate. By organizing MTF data into a single table, it allows users to monitor higher-timeframe trends and oscillator states without needing to continuously switch chart intervals or clutter their screen with multiple lower panes.
Indicator Logic & Components:
This matrix tracks the following standard indicators across the user's chosen timeframes:
Trend (EMA Crossover): Evaluates a fast EMA crossing a medium or slow EMA, filtered by a macro 200-period baseline EMA.
RSI (Relative Strength Index): Displays the current RSI value, color-coded based on user-defined breakout/breakdown thresholds.
MFI (Money Flow Index): Displays volume-weighted momentum.
ADX (Average Directional Index): Evaluates trend strength to filter out sideways consolidation periods.
MACD (Moving Average Convergence Divergence): Evaluates the relationship between the MACD line and the Signal line relative to the zero-line. The matrix uses the following acronyms to display the exact MACD state:
AZPCO: Above Zero, Positive Crossover (MACD is > 0 and MACD > Signal)
AZNCO: Above Zero, Negative Crossover (MACD is > 0 and MACD < Signal)
BZPCO: Below Zero, Positive Crossover (MACD is < 0 and MACD > Signal)
BZNCO: Below Zero, Negative Crossover (MACD is < 0 and MACD < Signal)
VWAP (Volume Weighted Average Price): Displays the current VWAP value and highlights if the closing price is currently holding above or below the baseline.
NASDAQ:INTC Matrix Features:
Customizable Timeframes: Users are not restricted to default intervals. You can input custom minute, hour, day, week, or month intervals for all 11 rows via the settings menu.
Overall Consensus Score: The bottom row of the table evaluates a 7-timeframe core grouping. If a strict majority of these selected timeframes share the same trend direction, it outputs a unified directional signal.
Visual Chart Overlays: Users can optionally enable the EMA lines and VWAP bands on their main chart. These visual elements have been strictly segregated in the indicator's Style tab for easy toggling.
All backend settings—including lengths, source data, and trigger thresholds for the RSI, MFI, and ADX—are fully unlocked in the inputs menu for personal customisation. Indicator
QAI Vegas Intelligent Channel ProIntroduction & User Manual QAI Vegas Intelligent Channel Pro
Autumn AI · Vegas Intelligent Channel Pro
Type: Pure Technical Analysis Reference Indicator (NOT a Strategy)
1. Introduction
QAI Vegas Intelligent Channel Pro is a professional-grade, multi-timeframe, multi-layered technical analysis reference indicator developed by the Autumn AI team. Built around the classic Vegas Tunnel (144/169 EMA) as its core framework, it integrates short-term (21/55), medium-term (288/338), and long-term (576/676) EMA channels, an advanced VWAP system with deviation bands, Bollinger Bands breakout logic, and comprehensive divergence detection across four major oscillators: RSI, MACD, KDJ, and Stochastic (both regular and hidden divergence).
Important Disclaimer (Please Read Carefully):
This indicator is designed exclusively as a visual reference tool and decision-support indicator. It is NOT a trading strategy and does NOT generate any automated buy/sell signals. All bubble labels, info panel readings, divergence alerts, and overall recommendations are provided for informational and analytical purposes only. Traders must combine this tool with their own independent market analysis, strict risk management, and personal trading plan. Past performance is not indicative of future results. Trading carries substantial risk of loss.
2. Key Features
Multi-layered EMA channel system (Short / Mid / Long + Vegas Tunnel) with optional MTF for Vegas
Advanced VWAP system (Daily/Session reset + multi-SD bands + minimum distance filter)
Quad-oscillator divergence confluence (RSI + MACD + KDJ + Stochastic)
Bollinger Bands Squeeze & Expansion breakout assistance
Real-time Info Panel (original detailed 2-column 24-row layout)
5-minute auto-expiring bubble labels for breakouts, divergences, and strong signals
Full visibility controls (one-click show/hide for all channels)
Native PulseWire dynamic alert system (trend change, strong signals, various divergences, etc.)
3、Recommended Default Settings
Source: close (recommended)
Visibility Controls: All on by default; when screen space is limited, keep only Vegas Tunnel + Filter Line + Info Panel
VWAP: Enable and keep useVWAPFilter = true
Bollinger Breakout: Enabled by default as auxiliary confirmation
Buy/Sell Arrows: Disabled by default (showArrows = false)
Core Reference Workflow (Practical Guide)
Start with Vegas Tunnel: Price above upper band + bullish tunnel alignment → bullish bias reference; below lower band + bearish alignment → bearish bias reference
Filter Line Confirmation: Price must be above/below EMA12 Filter for valid trend consideration
Channel Confluence: Short channel breakout + Vegas alignment + mid/long-term direction agreement = significantly stronger reference
Divergence Confluence: Multiple oscillators showing bullish/bearish divergence simultaneously = key reversal/continuation reference point
VWAP & Bollinger Assistance: Price far from VWAP + Bollinger expansion breakout = enhanced reference strength
Info Panel Quick Overview: Instant view of channel prices, distance %, indicator status, and overall recommendation
Bubble Labels: Real-time visual alerts that auto-delete after 5 minutes for clean charting
Info Panel Explanation
The panel uses the original detailed layout (2 columns, 24 rows) and displays:
Real-time prices and directional suggestions for all channels
Vegas distance percentage, VWAP/ATR, current price
Individual status for RSI, MACD, KDJ, Stochastic, Bollinger Bands, and Volume
Overall Recommendation and Trend at the bottom
4. Risk Disclaimer
Once again, this is strictly a reference indicator and NOT a trading strategy.
Autumn AI and the indicator developer assume no responsibility for any trading losses incurred from using this tool. Always practice proper position sizing, strict stop-loss discipline, and trade only within your personal risk tolerance. Indicator
ATC MACD EvolvedWhat It Is
ATC MACD Evolved is a precision-engineered rebuild of the classic Moving Average Convergence Divergence indicator. It keeps the familiar MACD structure traders already know — fast EMA, slow EMA, signal line, histogram — and replaces every weak link in that structure with a cleaner, more reliable equivalent. The result is a MACD that reads momentum more clearly, lies less often, and tells you not just what is happening but how significant it actually is.
This is not a MACD with extra features stacked on top. It is a MACD built the right way from the foundation up.
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Who It's Built For
ATC MACD Evolved is built for the active retail trader who already knows what MACD is, has probably used it before, and has run into its most common frustrations — late crossovers, noisy histogram readings, and signal lines that lag at the worst possible moment. If you have ever watched a MACD crossover fire and then immediately reverse, this indicator was built in response to exactly that experience.
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Core Concept
MACD measures the distance between two exponential moving averages of price — a faster one (default 12 periods) and a slower one (default 26 periods). When the fast EMA pulls ahead of the slow EMA, momentum is building. When it falls behind, momentum is fading. The gap between the two is the MACD line. The signal line smooths that gap to make crossovers more readable. The histogram is the gap between the MACD line and the signal line — it expands when momentum is accelerating and compresses when it is slowing.
That is the retail MACD. It works. But it has three structural problems. The signal line uses EMA smoothing, which lags and causes late crossovers. The histogram has no scale reference, so you cannot tell whether a reading is large or small for the instrument you are trading. And the divergence logic, when it exists at all in retail tools, is not filtered — it fires constantly and most of those signals are noise.
ATC MACD Evolved solves all three.
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The Upgrades
HMA Signal Line
The signal line is replaced with a Hull Moving Average of the same default length. HMA is specifically designed to reduce lag while maintaining smoothness. In practice this means crossovers occur closer to the actual momentum shift rather than well after it has already occurred. The MACD line itself remains a standard EMA-based calculation — the HMA is applied only to the signal line, which is the part of the system most responsible for late signals.
Standard-Deviation-Normalized Histogram
Every histogram print is measured against the instrument's own historical standard deviation over the last 200 bars. This produces a normalized strength score — call it the histogram Z-score — that tells you objectively whether the current histogram reading is strong, moderate, or weak relative to what this instrument normally produces at this timeframe. A histogram bar that looks big might actually be ordinary. A histogram bar that looks small might be historically significant. The normalization removes that ambiguity.
The histogram is then rendered in one of eight visual states based on direction, strength, and whether momentum is accelerating or fading. Strong bullish prints glow at full opacity. Weak prints render faded. Fading momentum mid-trend is visually distinct from genuine weakness. You can read the state of momentum at a glance without needing to interpret numbers.
Conservative Pivot-Confirmed Divergence Engine
Divergence is off by default. When enabled, it does not fire on every wiggle. It requires confirmed price pivots — actual swing highs and lows — before comparing histogram behavior at those pivots. The pivot confirmation is hard: the engine waits for the required number of bars on both sides of the pivot to confirm before flagging anything. It also enforces minimum and maximum bar separation between pivots, rejecting micro-divergences that form on adjacent bars and stale divergences where the pivots are too far apart to be meaningful. There is also an optional same-side-of-zero filter, which requires both histogram pivots to be on the same side of the zero line — bear divergence requires both readings above zero, bull divergence requires both below. This filter alone eliminates a large category of false divergence signals that retail tools produce constantly.
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Chart Visuals
MACD Line — Electric Blue The core momentum line. Tracks the spread between the fast and slow EMA.
Signal Line — Gold The HMA-smoothed signal. Crossovers between the MACD line and signal line are primary signals.
Histogram Columns The gap between the MACD line and signal line, rendered in color-coded columns with a visual scale multiplier applied for readability (default 1.75x). This multiplier is display-only and does not affect any calculations, alerts, or HUD values. The columns use eight visual states driven by direction, normalized strength, and slope:
• Bright green, full opacity — bullish, accelerating, strong
• Green, slightly faded — bullish, accelerating, moderate strength
• Green, heavily faded — bullish but statistically weak (watch for stall)
• Green, partial fade — bullish but decelerating (momentum losing steam)
• Bright red, full opacity — bearish, accelerating, strong
• Red, slightly faded — bearish, accelerating, moderate
• Red, heavily faded — bearish but weak (bear pressure fading)
• Red, partial fade — bearish but decelerating (recovery building)
MACD / Signal Cloud A filled region between the MACD line and signal line that changes color and opacity based on the combined state of both lines relative to each other and to the zero line. Darker and more saturated when both are on the same side and in agreement. Lighter and more transparent during transitional phases.
Momentum Background A subtle background tint across the full panel — green when MACD is above signal, red when below. The tint is stronger when the MACD line is also above zero (bull control) and lighter when it is below (recovery or transition). This gives you an immediate panel-level read on regime without needing to look at individual lines.
Zero-Line Glow The zero line is rendered with a colored glow that reflects the current histogram direction — green when histogram is positive, red when negative. This provides a subtle but consistent reference point for zero-line crossover events.
Crossover Dots At every signal-line crossover, a dot and surrounding glow appear on the MACD line. The glow renders first so the sharp dot remains visually dominant. Bull crossovers are green, bear crossovers are red.
Divergence Labels (optional) When divergence is enabled and a confirmed pivot-to-pivot divergence is detected, a BULL DIV or BEAR DIV label appears on the histogram at the pivot bar. Labels are placed on the visually scaled histogram so they align with the displayed columns.
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The HUD
The HUD is a live data panel rendered in the corner of the indicator panel. It updates on every bar close and gives you a structured summary of the indicator's current state without needing to read individual lines and columns manually.
MACD — The raw MACD line value at four decimal places.
Signal — The HMA signal line value at four decimal places.
Hist Strength — The normalized Z-score of the current histogram print. Positive values indicate bullish histogram, negative bearish. The magnitude tells you how significant the print is relative to this instrument's normal range. A value above +1.5 or below -1.5 is statistically strong.
Strength — A plain-language classification of the Z-score reading: Strong, Moderate, or Weak. Strong means the current histogram print is beyond 1.5 standard deviations from zero. Moderate is between 0.5 and 1.5. Weak is below 0.5 and is the zone where momentum signals should be treated with caution.
State — A four-state momentum classification based on the position of the MACD line relative to signal and relative to zero:
• Bull Control — MACD above signal AND above zero. Full bullish regime.
• Bull Recovery — MACD above signal but below zero. Recovering from bearish territory.
• Bear Pressure — MACD below signal but above zero. Weakening from bullish territory.
• Bear Control — MACD below signal AND below zero. Full bearish regime.
Divergence — When the divergence engine is enabled, this field shows the current status: Watching (monitoring for pivots), Bull Div @ Pivot (confirmed bullish divergence at last pivot), or Bear Div @ Pivot (confirmed bearish divergence at last pivot). When the engine is off, this field shows Off.
Hist Visual — The current histogram visual scale multiplier. Displayed as a reminder that the histogram is scaled for readability only. All calculations use the true unscaled histogram values.
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Alerts
ATC MACD Evolved includes eight configurable alert conditions:
MACD Bull Cross — Fires when the MACD line crosses above the HMA signal line.
MACD Bear Cross — Fires when the MACD line crosses below the HMA signal line.
MACD Zero Cross Up — Fires when the MACD line crosses above the zero line.
MACD Zero Cross Down — Fires when the MACD line crosses below the zero line.
Strong Bull Histogram — Fires on the first bar where the normalized histogram strength enters the strong zone on the positive side. This is a momentum acceleration alert, not a crossover.
Strong Bear Histogram — Fires on the first bar where normalized histogram strength enters the strong zone on the negative side.
Bear Divergence — Fires when the divergence engine confirms a bearish pivot-to-pivot divergence. Requires divergence to be enabled in settings.
Bull Divergence — Fires when the divergence engine confirms a bullish pivot-to-pivot divergence. Requires divergence to be enabled in settings.
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How to Trade With ATC MACD Evolved
ATC MACD Evolved is a momentum and trend-following tool. It measures momentum quality, not price targets. Use it to confirm conditions that support entry, to gauge how much conviction exists behind a move, and to identify early signs of momentum exhaustion before a reversal becomes obvious.
Step 1 — Read the State first
Before looking at any crossover or histogram reading, check the HUD State field. Bull Control and Bear Control are the regimes where signals from this indicator carry the most weight. Bull Recovery and Bear Pressure are transitional — signals are valid but require more supporting evidence from price action or other tools.
Step 2 — Read the Histogram Strength
Check the Strength field in the HUD. A Strong reading means the histogram print is statistically significant for this instrument. A Weak reading means momentum is not confirmed — crossovers in weak histogram territory are lower conviction and should be weighted accordingly. Do not trade crossovers in Weak zones the same way you trade them in Strong zones.
Step 3 — Confirm the crossover
When the MACD line crosses the HMA signal line, a crossover dot and glow appear on the chart. The most reliable crossovers occur when the histogram is transitioning from a faded state (decelerating) to an accelerating state on the opposite side — you will see the histogram columns shift from a partial-opacity color to a full-opacity color in the new direction. Crossovers that occur with immediately Strong normalized readings are the cleanest setups.
Step 4 — Check the zero-line position
A bullish crossover above the zero line (Bull Control state) is generally stronger than one below zero (Bull Recovery). Both are valid, but the zero-line position tells you whether you are trading with the prevailing macro momentum or against it. Trade Bull Control crossovers with more size or fewer confirmations required. Trade Bull Recovery crossovers as potential turning-point setups that still need price structure support.
Step 5 — Use zero-line crossovers as trend confirmation
When the MACD line itself crosses the zero line, it marks a shift in the medium-term trend relationship between the fast and slow EMAs. Zero cross up, combined with a MACD-above-signal condition, is a two-layer confirmation of a building trend. Zero cross alerts are most useful as trend-start confirmation rather than entry triggers on their own.
Step 6 — If divergence is enabled, treat it as a caution flag
A divergence label on ATC MACD Evolved is not a buy or sell signal. It is a structural warning. Bearish divergence — price making a higher high while the histogram makes a lower high — means upside momentum is not confirming price action. This creates a fragile structure. Bullish divergence is the mirror: price making a lower low while histogram makes a higher low, indicating selling pressure is not accelerating with price. In both cases, wait for a crossover or a failed new extreme in price to act on the divergence flag.
Step 7 — Watch the histogram fade for exits
When you are in a trade and the histogram shifts from a Strong or Moderate state to a Weak state — visible as the column opacity dropping and the Strength field reading Weak — that is a warning that momentum is stalling. It is not an exit trigger by itself, but it is a cue to tighten your stop or reduce exposure. When the histogram then begins fading (decelerating) in the current direction, watch for a crossover as confirmation of a regime shift.
________________________________________
Recommended Instruments and Timeframes
ATC MACD Evolved is validated and performs well on liquid instruments with consistent volume profiles. Futures markets including ES, NQ, MES, MNQ, CL, and GC are the primary intended instruments. It is equally well-suited to major equity ETFs such as SPY and QQQ, and to major forex pairs including EURUSD, GBPUSD, and USDJPY. The normalization engine adapts to the volatility characteristics of each instrument, so the same threshold settings can be used across markets without manual adjustment.
Recommended timeframes are 5-minute through 4-hour for active trading and 1-hour through Daily for trend context and confirmation. The 200-bar normalization lookback is calibrated for these timeframes. On very short timeframes below 5 minutes, consider increasing the normalization lookback to maintain statistical stability. On weekly or monthly charts, the tool still functions correctly but is better used as a macro context layer than an entry trigger.
Indicator
Swing + Value Setup [Marcos]Swing + Value Setup — Descripción para PulseWire
Título sugerido
Swing + Value Setup — Multi-Filter Entry Signal
Descripción (inglés — recomendado para mayor alcance)
🎯 What is this indicator?
Swing + Value Setup is a multi-condition entry filter designed for swing traders looking for high-quality setups in stocks with strong technical and structural foundations. Instead of relying on a single signal, this indicator requires 6 simultaneous conditions to be met before printing an entry label — dramatically reducing false signals and noise.
It also features a real-time status panel that shows exactly which conditions are passing or failing on any given bar, so you always know how close a setup is to triggering.
⚙️ How it works
The indicator combines trend, momentum, volume, and structure analysis into a single unified signal:
✅ 6 Required Conditions (all must be true simultaneously):
Price above EMA 200 — confirms the stock is in a long-term uptrend
Supertrend bullish — active trend filter, eliminates choppy/sideways markets
RSI between 40–55 — entry during healthy pullback, not extreme oversold
MACD signal — bullish crossover OR histogram rising below zero (momentum recovering)
OBV above its EMA — confirms institutional accumulation behind the move
Pullback to EMA 21 or EMA 50 (±1.5%) — optimal entry zone, not chasing price
⭐ High Conviction Bonus:
When a bullish RSI divergence is also detected (price making lower lows while RSI makes higher lows), the label upgrades to a High Conviction signal — historically the strongest setups.
📊 Visual elements
EMA 21 / 50 / 200 plotted directly on price
Supertrend line changes color with trend direction
Green background shading when a valid setup is active
Brighter shading for high conviction entries
Labels printed at signal candles (standard ✅ or high conviction 🎯)
Status table (top-right corner) showing live ✅/❌ for each condition
🔔 Built-in Alerts (3 total)
AlertTriggerSetup Swing/ValueAll 6 conditions met for the first timeSetup ALTA CONVICCIÓN ⭐Full setup + RSI divergence confirmedDivergencia RSI BullishBullish divergence in uptrend (early warning)
Set alerts from the indicator menu → Add Alert → select the condition.
🕐 Recommended Timeframes
TimeframePurposeWeeklyOverall bias and macro structureDailyPrimary signal timeframe (recommended)4H / 1HEntry timing and fine-tuning
Best results on Daily charts for swing positions of 5–30 days.
📐 Trade Management (suggested)
Stop Loss: Below the signal candle low or EMA 50
Target 1: Prior resistance / VPVR high-volume node
Target 2: Fibonacci 1.272 or 1.618 extension
Minimum R:R: 1:2.5
⚠️ Disclaimer
This indicator is a technical analysis tool only. It does not constitute financial advice. Always manage your risk, use stop losses, and do your own research before entering any trade. Past performance of any indicator does not guarantee future results.
Descripción (español — versión alternativa)
🎯 ¿Qué es este indicador?
Swing + Value Setup es un filtro de entrada multi-condición diseñado para swing traders que buscan setups de alta calidad en acciones con estructura técnica sólida. En lugar de depender de una sola señal, el indicador exige que 6 condiciones se cumplan simultáneamente antes de generar una señal — reduciendo drásticamente las falsas entradas y el ruido del mercado.
Incluye un panel de estado en tiempo real que muestra exactamente qué condiciones están activas o fallando en cualquier vela, para que siempre sepas qué tan cerca está un setup de activarse.
⚙️ Cómo funciona
✅ 6 Condiciones obligatorias (todas deben cumplirse a la vez):
Precio sobre EMA 200 — confirma tendencia alcista de largo plazo
Supertrend alcista — filtra mercados laterales y tendencias bajistas
RSI entre 40 y 55 — entrada en pullback sano, sin sobreventa extrema
Señal MACD — cruce alcista O histograma subiendo bajo cero
OBV sobre su media — confirma acumulación institucional detrás del movimiento
Pullback a EMA 21 o EMA 50 (±1.5%) — zona de entrada óptima sin perseguir precio
⭐ Bonus Alta Convicción:
Cuando además se detecta una divergencia bullish en RSI (precio haciendo mínimos más bajos mientras el RSI hace mínimos más altos), la señal se convierte en Alta Convicción — históricamente los setups más fuertes.
🔔 Alertas incluidas
Setup Swing/Value — cuando se cumplen las 6 condiciones
Setup Alta Convicción ⭐ — setup completo + divergencia RSI
Divergencia RSI Bullish — aviso temprano de posible giro
⚠️ Aviso legal
Este indicador es únicamente una herramienta de análisis técnico. No constituye asesoramiento financiero. Gestiona siempre tu riesgo y realiza tu propio análisis antes de operar.
swing trading value ema supertrend rsi macd obv multi-condition stocks entry signal divergence trend following pullback screener alerts Indicator
Alien The Bayesian Follower [by Oberlunar] Alien The Bayesian Follower 👁⭐
— Bayesian Gating Filter by Oberlunar
Alien The Bayesian Follower by Oberlunar is a permission layer for execution engines. At its core sits a conjugate Bayesian update that continuously revises the expected edge of each trading cell as live evidence accumulates, and automatically disables cells whose edge has decayed. Empirically, for most of the time, when a long/short gate is active, the price goes in the opposite direction or straight in the trend. Use it at 30 m, with lower TF at 15 m and trade on pullbacks.
The state space is built by crossing three fixed methodologies: a 5-class daily Regime Classifier built on Kaufman Efficiency Ratio, lag-1 autocorrelation of returns, and ATR ratio; a Dragon momentum composite aggregating EMA, RSI, MACD, and TRIX into 5 buckets; and a Pulsar flow composite aggregating OBV, CVD, and price-vs-flow divergences into 5 buckets. The full 5×5 Dragon × Pulsar grid is evaluated only inside the MIXED regime, where four specific bucket combinations carry a statistically significant edge after Bonferroni correction across all 25 cells.
The four surviving cells correspond to two long setups and two short setups. The strongest long edge sits at the intersection of strong bullish momentum and still-neutral flow — the pre-alignment phase where price has turned but order flow hasn't fully confirmed. Full alignment between momentum and flow tends to mark exhaustion. The same asymmetry holds in reverse for the short cells.
Each surviving cell carries a Normal prior representing its expected edge and the uncertainty around it. The Bayesian engine is the heart of the indicator: as the script runs, every walk-forward observation matching a cell updates that cell's prior through a conjugate Normal-Normal step, producing a posterior that shrinks prior and live evidence together via precision weighting. When live samples are few, the posterior stays close to the prior, and the cell relies on its original estimate. When live samples accumulate, the posterior tracks reality and the original prior fades.
Each cell is then assigned a status based on its posterior credible interval. **BORN** means not enough live data yet. **OK** means the credible interval excludes zero with the expected sign and the magnitude remains close to the prior. **DRIFT** means the sign is still correct, but the edge has weakened substantially. **DEAD** means the credible interval includes zero, or the sign has inverted — the cell has lost its edge and is automatically blocked from firing. This is the core defensive feature: strategies decay, and when one of the four cells decays, the Bayesian engine stops trusting it without any manual intervention.
Alerts in strict mode restrict firing to primary cells only (±2).
Permissive mode allows secondary cells (±1) as well.
The dashboard shows the live state of all four cells side by side: prior, posterior with credible interval, sample count, and status. Everything else — the cyberpunk palette, the segmented trend wedges in stay-out zones, the optional alien mascot rotating to follow the local trend — is visual feedback layered on top of the same Bayesian rule.
Enjoy,
By Oberlunar 👁⭐ Indicator
Momentum Composite Oscillator (MCO)Momentum Composite Oscillator (MCO)
The Momentum Composite Oscillator (MCO) is a multi-factor momentum indicator that combines several widely used momentum metrics into a single normalized oscillator.
The script integrates RSI, MACD momentum, and Rate of Change (ROC) into a weighted composite that is scaled to a 0–100 range. This approach allows different momentum signals to be viewed together in a unified framework.
Core Features
• Composite Momentum Line – Represents the combined momentum reading from multiple indicators
• Signal Line – A smoothed reference line used to highlight shifts in momentum
• Momentum Histogram – Displays the spread between the composite and signal lines
• Momentum Zones – Configurable upper, mid, and lower levels help visualize different momentum regimes
• Cross Markers: Bull cross: Blue Dots, Bear Cross: Orange Dots – Highlight early momentum shifts when the composite crosses the signal line
• Confirmation Markers – Optional follow-through markers that trigger when momentum confirms above or below upper or lower thresholds which may signal major momentum reversals. Bull Confirmation: Green triangles, Bear Confirmations: Red Triangles
• Adaptive Signal Option – Adjusts signal smoothing based on recent volatility
How It Works
The indicator combines three momentum components:
RSI – Measures the relative strength of price movements
MACD momentum – Captures changes in trend acceleration
Rate of Change (ROC) – Measures the speed of price movement
Each component is normalized using a rolling range so they operate on the same scale. Adjustable weights allow users to emphasize different momentum inputs depending on their analytical preference.
The resulting composite can optionally be smoothed to reduce short-term noise while maintaining responsiveness.
Basic Interpretation
When the composite moves above the midline, momentum conditions are generally strengthening.
When the composite moves below the midline, momentum conditions are generally weakening.
Crossovers between the composite and signal line can highlight changes in momentum direction.
The histogram reflects the distance between momentum and its signal, helping visualize acceleration or deceleration.
Customization
The indicator includes several adjustable settings:
Component weights for RSI, MACD, and ROC
Momentum zone levels
Composite smoothing
Adaptive or fixed signal modes
Signal confirmation settings
Visual display options for signals, histogram, and background regimes
Notes
This indicator is designed as a momentum analysis and visualization tool and can be applied to any market or timeframe.
Disclaimer:
This script is intended for informational and analytical purposes only and does not constitute financial advice.
Note: In the chart above I have the MCO configured to custom 2 week Bitcoin settings.
Normalization look back: 50
Composite smoothing length: 12
Weights;
RSI: 1
MACD: 1.5
ROC: 0.3
Signal look back: 5
Confirmation Max: 14
Indicator
Divergence Constellation [JOAT]Divergence Constellation
Introduction
The Divergence Constellation is an advanced open-source multi-oscillator divergence detection system that combines RSI, MACD, TSI, and Stochastic analysis with sophisticated pivot detection and confluence scoring. This indicator identifies both regular and hidden divergences across multiple oscillators simultaneously, creating a constellation of divergence signals that reveal potential reversals and trend continuations with high probability.
Unlike single-oscillator divergence tools, the Divergence Constellation provides multi-dimensional divergence analysis through composite oscillator calculation, four-oscillator confluence scoring, regular and hidden divergence detection, and chart projection. The indicator is designed for traders who understand that divergences confirmed across multiple oscillators provide significantly higher probability setups than single-oscillator divergences.
Why This Indicator Exists
This indicator addresses the need for systematic multi-oscillator divergence analysis. By combining four distinct oscillators with confluence scoring, it reveals:
Regular Bullish Divergence: Price makes lower low, oscillators make higher low (reversal up signal)
Regular Bearish Divergence: Price makes higher high, oscillators make lower high (reversal down signal)
Hidden Bullish Divergence: Price makes higher low, oscillators make lower low (trend continuation up)
Hidden Bearish Divergence: Price makes lower high, oscillators make higher high (trend continuation down)
Confluence Scoring: Counts how many oscillators confirm the divergence (1-4 score)
Composite Oscillator: Unified oscillator combining all four components
Chart Projection: Divergence lines drawn on both oscillator pane and main chart
Core Components Explained
1. Four-Oscillator System
The indicator calculates four distinct oscillators, each providing unique momentum perspective:
RSI (Relative Strength Index):
Measures momentum by comparing average gains to average losses
Zero-centered (subtracts 50) for composite integration
Sensitive to overbought/oversold conditions
Default period: 14
MACD (Moving Average Convergence Divergence):
Measures relationship between two exponential moving averages
Histogram shows momentum acceleration/deceleration
Responsive to trend changes
Default periods: 12, 26, 9
TSI (True Strength Index):
Double-smoothed momentum indicator
Filters noise while preserving trend direction
Excellent for divergence detection
Default periods: 25, 13
Stochastic:
Compares close to recent high-low range
Zero-centered (subtracts 50) for composite integration
Identifies overbought/oversold extremes
Default periods: 14, 3
2. Composite Oscillator Calculation
All four oscillators are combined into a unified composite:
Composite = (RSI + MACD + TSI + Stochastic) / 4
This composite oscillator provides a balanced view of momentum across all four methodologies. Divergences are detected on the composite, then confirmed by checking individual oscillators.
3. Pivot Detection System
The indicator uses sophisticated pivot detection to identify divergence points:
Pivot Left/Right: Number of bars on each side for pivot confirmation (default: 5)
Price Pivots: Identifies swing highs and lows in price
Oscillator Pivots: Identifies swing highs and lows in each oscillator
Lookback Range: Min (5) to Max (60) bars for comparing pivots
Pivots must be confirmed (bars on both sides) before divergence analysis begins.
4. Regular Divergence Detection
Regular divergences signal potential reversals:
Regular Bullish Divergence:
Price makes lower low (current pivot low < previous pivot low)
Composite oscillator makes higher low (current pivot low > previous pivot low)
Indicates weakening downward momentum - potential reversal up
Best at oversold levels (composite < -20)
Regular Bearish Divergence:
Price makes higher high (current pivot high > previous pivot high)
Composite oscillator makes lower high (current pivot high < previous pivot high)
Indicates weakening upward momentum - potential reversal down
Best at overbought levels (composite > 20)
5. Hidden Divergence Detection
Hidden divergences signal trend continuation:
Hidden Bullish Divergence:
Price makes higher low (current pivot low > previous pivot low)
Composite oscillator makes lower low (current pivot low < previous pivot low)
Indicates strong underlying bullish momentum - trend continuation up
Confirms uptrend strength
Hidden Bearish Divergence:
Price makes lower high (current pivot high < previous pivot high)
Composite oscillator makes higher high (current pivot high > previous pivot high)
Indicates strong underlying bearish momentum - trend continuation down
Confirms downtrend strength
6. Confluence Scoring System
When a divergence is detected on the composite, the indicator checks all four individual oscillators:
Score 1/4: Only one oscillator confirms - weak divergence
Score 2/4: Two oscillators confirm - moderate divergence (minimum for signals)
Score 3/4: Three oscillators confirm - strong divergence
Score 4/4: All four oscillators confirm - extreme divergence (highest probability)
The minimum confluence score (default 2) filters out weak divergences that lack multi-oscillator confirmation.
7. Signal Generation Logic
Signals are generated only at extreme oscillator levels with anti-overlap logic:
Bullish Signals:
Regular bullish divergence detected
Composite oscillator < -20 (oversold)
Confluence score >= minimum (default 2)
At least 20 bars since last bullish signal (anti-overlap)
Bearish Signals:
Regular bearish divergence detected
Composite oscillator > 20 (overbought)
Confluence score >= minimum (default 2)
At least 20 bars since last bearish signal (anti-overlap)
Extreme Signals:
Confluence score = 4/4 (all oscillators confirm)
Composite at extreme levels (< -30 or > 30)
Displayed as diamond shapes for emphasis
8. Visual Divergence Lines
Divergence lines are drawn connecting pivot points:
Regular Divergences: Solid lines (green = bullish, red = bearish)
Hidden Divergences: Dashed lines (cyan = bullish, orange = bearish)
Oscillator Pane: Lines drawn on composite oscillator
Chart Projection: Lines also drawn on main price chart (optional)
Lines provide visual confirmation of the divergence pattern and help identify the exact pivot points involved.
Visual Elements
Four Oscillator Lines: Thick colored lines showing RSI (cyan), MACD (magenta), TSI (yellow), and Stochastic (green)
Composite Line: White line showing unified oscillator
Zero Line: Gray horizontal line at zero
Overbought/Oversold Zones: Shaded areas at +30/-30 levels
Divergence Lines: Solid/dashed lines connecting pivot points
Signal Triangles: Small triangles at signal generation points
Extreme Diamonds: Larger diamonds for 4/4 confluence signals
Information Dashboard: Displays composite position, confluence score, RSI/MACD/TSI/Stochastic status, composite value, divergence types, signal strength, extreme events, and overall verdict
How to Use This Indicator
Step 1: Monitor Composite Position
Check if composite oscillator is at extreme levels (> 30 overbought, < -30 oversold). Divergences at extremes have highest probability.
Step 2: Check Confluence Score
Look for confluence scores of 3/4 or 4/4. Higher scores indicate stronger divergence confirmation across multiple oscillators.
Step 3: Identify Divergence Type
Regular divergences signal reversals, hidden divergences signal trend continuation. Trade accordingly.
Step 4: Wait for Signal Confirmation
Don't trade divergence lines alone. Wait for signal triangles that confirm divergence meets all criteria (extreme level, confluence, anti-overlap).
Step 5: Look for Extreme Events
Diamond shapes indicate 4/4 confluence at extreme levels - highest probability setups.
Step 6: Confirm with Price Action
Use divergence signals as alerts, then confirm with price action, support/resistance, or other indicators before entering.
Step 7: Check Individual Oscillators
Dashboard shows status of each oscillator. All four overbought/oversold provides additional confirmation.
Best Practices
Trade only divergences with confluence score >= 2 (default minimum)
Focus on regular divergences at extreme levels (< -30 or > 30) for reversals
Use hidden divergences to confirm trend continuation, not as standalone entries
Wait for signal triangles - don't front-run divergence lines
4/4 confluence signals (diamonds) offer highest probability setups
Combine with support/resistance levels for additional confirmation
Avoid divergences in middle range (-20 to +20) - wait for extremes
Use higher timeframe divergences for stronger significance
Input Parameters
Pivot Detection:
Pivot Left: Bars to left of pivot (default: 5)
Pivot Right: Bars to right of pivot (default: 5)
Max Lookback: Maximum bars to compare pivots (default: 60)
Min Lookback: Minimum bars to compare pivots (default: 5)
Oscillator Configuration:
RSI Length: Period for RSI (default: 14)
MACD Fast: Fast EMA period (default: 12)
MACD Slow: Slow EMA period (default: 26)
MACD Signal: Signal line period (default: 9)
TSI Long: Long smoothing period (default: 25)
TSI Short: Short smoothing period (default: 13)
Stochastic K: K period (default: 14)
Stochastic D: D smoothing (default: 3)
Divergence Rules:
Show Regular Divergence: Toggle regular divergence detection (default: enabled)
Show Hidden Divergence: Toggle hidden divergence detection (default: enabled)
Min Confluence Score: Minimum oscillators that must confirm (default: 2)
Project on Chart: Draw divergence lines on main chart (default: enabled)
Visual Configuration:
Bullish/Bearish Divergence Colors: Colors for regular divergences
Hidden Bullish/Bearish Colors: Colors for hidden divergences
Originality Statement
This indicator is original in its multi-oscillator confluence approach. While individual oscillators and divergence concepts are established, this indicator is justified because:
It combines four distinct oscillators into a unified composite system
The confluence scoring system measures divergence strength across multiple oscillators
Automatic detection of both regular and hidden divergences with pivot analysis
Signal generation includes extreme level filtering and anti-overlap logic
Chart projection allows divergence visualization on both oscillator and price chart
The comprehensive dashboard presents all oscillator states and divergence metrics simultaneously
Integration of multiple oscillator perspectives creates higher probability divergence signals
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Divergence analysis does not guarantee profitable trades or reversals. Past divergences do not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
-Made with passion by officialjackofalltrades Indicator
Indicator
Oscillator Confluence Tracker [JOAT]Oscillator Confluence Tracker
Introduction
The Oscillator Confluence Tracker is an advanced open-source multi-oscillator divergence detection indicator that combines RSI divergence analysis, MACD momentum tracking, Stochastic extreme identification, volume divergence detection, and pattern recognition into a unified smart money divergence system. This indicator helps traders identify when price and momentum are moving in opposite directions - a powerful signal that the current trend is losing strength and a reversal may be imminent.
Unlike basic oscillator indicators that simply show overbought/oversold levels, this system detects divergences across multiple oscillators simultaneously and quantifies confluence. Regular divergences signal potential reversals, hidden divergences signal trend continuation, and multi-oscillator confluence provides the highest probability setups. The indicator is designed for traders who understand that divergences reveal institutional positioning changes before they're visible in price action.
Why This Indicator Exists
This indicator addresses a critical challenge in divergence trading: single oscillator divergences produce many false signals. By combining multiple oscillators and requiring confluence, this indicator reveals:
RSI Divergence Detection: Identifies when price makes new highs/lows but RSI doesn't - signals momentum exhaustion
MACD Momentum Analysis: Tracks MACD line and histogram for momentum shifts and crossovers
Stochastic Extreme Zones: Identifies overbought (>80) and oversold (<20) conditions for context
Hidden Divergence Patterns: Detects hidden divergences that signal trend continuation rather than reversal
Volume Divergence: Identifies when price makes new highs/lows on decreasing volume - warns of weak moves
Multi-Oscillator Confluence: Quantifies how many oscillators show divergence simultaneously
Momentum Divergence: Detects when price momentum and oscillator momentum conflict
Each component provides a different lens on momentum. RSI shows relative strength, MACD shows trend momentum, Stochastic shows extremes, volume shows participation, and confluence shows conviction. Together, they create a comprehensive view of smart money divergence.
Core Components Explained
1. Regular Bearish Divergence (Price HH, RSI LH)
Regular bearish divergence occurs when price makes a higher high but RSI makes a lower high - signals uptrend exhaustion:
// Detect pivot highs in both price and RSI
pricePivotHigh = ta.pivothigh(high, 5, 5)
rsiPivotHigh = ta.pivothigh(rsi, 5, 5)
// Compare current pivot to previous pivot
if pricePivotHigh > lastPriceHigh and rsiPivotHigh < lastRsiHigh:
// Bearish divergence detected
drawDivergenceLines()
createDivergenceLabel("BEAR DIV")
The indicator identifies bearish divergence by:
Tracking swing highs in both price and RSI using pivot detection
Comparing current swing high to previous swing high
Confirming price made higher high while RSI made lower high
Drawing solid line on price chart and dashed line on RSI
Creating "BEAR DIV" label at the divergence point
Bearish divergence is most powerful when:
RSI is in overbought zone (>70) - "BEAR DIV EXTREME" label
Multiple oscillators show divergence simultaneously
Volume is decreasing on the higher high
Occurs at resistance or Fibonacci level
2. Regular Bullish Divergence (Price LL, RSI HL)
Regular bullish divergence occurs when price makes a lower low but RSI makes a higher low - signals downtrend exhaustion:
// Detect pivot lows in both price and RSI
pricePivotLow = ta.pivotlow(low, 5, 5)
rsiPivotLow = ta.pivotlow(rsi, 5, 5)
// Compare current pivot to previous pivot
if pricePivotLow < lastPriceLow and rsiPivotLow > lastRsiLow:
// Bullish divergence detected
drawDivergenceLines()
createDivergenceLabel("BULL DIV")
The indicator identifies bullish divergence by:
Tracking swing lows in both price and RSI
Comparing current swing low to previous swing low
Confirming price made lower low while RSI made higher low
Drawing solid line on price chart and dashed line on RSI
Creating "BULL DIV" label at the divergence point
Bullish divergence is most powerful when:
RSI is in oversold zone (<30) - "BULL DIV EXTREME" label
Multiple oscillators show divergence simultaneously
Volume is decreasing on the lower low
Occurs at support or Fibonacci level
3. Hidden Bullish Divergence (Price HL, MACD LL)
Hidden bullish divergence occurs when price makes a higher low but MACD makes a lower low - signals uptrend continuation:
// Price makes higher low (bullish structure)
if pricePivotLow > lastPriceLow and macdPivotLow < lastMacdLow:
// Hidden bullish divergence - trend continuation signal
drawHiddenDivergence("H-BULL")
Hidden divergences are different from regular divergences:
Signal trend continuation, not reversal
Occur during pullbacks in established trends
Show that momentum is building despite price correction
Drawn with dotted lines to distinguish from regular divergence
Labeled "H-BULL" or "H-BEAR" for clarity
Hidden divergences are powerful for:
Entering pullbacks in strong trends
Adding to winning positions
Confirming trend strength
Identifying optimal re-entry points
4. Volume Divergence Detection
Volume divergence occurs when price makes new highs/lows but volume decreases - warns of weak moves:
// Track volume at pivot highs
volPivotHigh = ta.pivothigh(volume, 5, 5)
// Price makes higher high, volume makes lower high
if pricePivotHigh > lastPriceHigh and volPivotHigh < lastVolHigh:
label.new(bar_index, high, "VOL DIV", color=COLOR_VOL_DIV)
Volume divergence reveals:
Decreasing participation in the move
Lack of institutional conviction
Potential exhaustion or trap
Warning that trend may not continue
Volume divergence combined with RSI/MACD divergence creates extremely high-probability reversal setups.
5. Momentum Divergence Analysis
Momentum divergence occurs when price momentum and oscillator momentum move in opposite directions:
rsiMomentum = ta.change(rsi, 5)
macdMomentum = ta.change(macdLine, 5)
priceMomentum = ta.change(close, 5)
// Price momentum positive but RSI momentum negative
momentumDivergence = (priceMomentum > 0 and rsiMomentum < 0) or
(priceMomentum < 0 and rsiMomentum > 0)
Momentum divergence shows:
Acceleration/deceleration conflicts
Early warning of trend changes
Momentum exhaustion before price exhaustion
Institutional positioning shifts
The dashboard displays momentum divergence status (Active/Aligned) with color coding.
6. Multi-Oscillator Confluence Scoring
The indicator quantifies confluence by counting how many oscillators show divergence simultaneously:
confluenceScore = 0
if rsi_divergence:
confluenceScore += 1
if macd_divergence:
confluenceScore += 1
if stochastic_extreme:
confluenceScore += 1
if volume_divergence:
confluenceScore += 1
if momentum_divergence:
confluenceScore += 1
// Classify confluence
confluenceLevel = confluenceScore >= 4 ? "EXTREME BULL/BEAR" :
confluenceScore >= 3 ? "STRONG BULL/BEAR" :
confluenceScore >= 2 ? "MODERATE" : "NONE"
Confluence scoring reveals:
Setup quality (higher score = higher probability)
How many independent signals confirm the divergence
Whether to take the trade (3+ recommended)
Position sizing guidance (higher score = larger size)
The dashboard displays confluence score and classification with color intensity.
7. Enhanced Candlestick Coloring
The indicator colors candles based on trend strength and momentum:
// Determine trend
trendStrength = ta.ema(close, 20)
isBullTrend = close > trendStrength
isBearTrend = close < trendStrength
// Momentum strength
momentumStrong = abs(rsiMomentum) > 5 or abs(macdMomentum) > abs(macdHist) * 0.5
// Color candles
if isBullTrend:
candleColor = momentumStrong ? COLOR_BULL_STRONG : COLOR_BULL_WEAK
else if isBearTrend:
candleColor = momentumStrong ? COLOR_BEAR_STRONG : COLOR_BEAR_WEAK
Candlestick coloring shows:
Bright green: Strong bullish momentum
Light green: Weak bullish momentum
Bright red: Strong bearish momentum
Light red: Weak bearish momentum
This provides instant visual feedback on trend and momentum strength.
Visual Elements
Divergence Lines: Solid lines on price, dashed lines on oscillator connecting pivot points
Divergence Labels: "BULL DIV", "BEAR DIV", "H-BULL", "H-BEAR" at divergence points
Extreme Labels: "BULL DIV EXTREME" or "BEAR DIV EXTREME" in overbought/oversold zones
Volume Labels: "VOL DIV" markers when volume diverges
Divergence Zones: Semi-transparent boxes highlighting divergence areas
Enhanced Candles: Color-coded by trend and momentum strength
Volume Spike Boxes: Gold boxes around high-volume candles
Extreme Zone Backgrounds: Red tint when RSI >70 and Stochastic >80, green tint when RSI <30 and Stochastic <20
Dashboard: Real-time oscillator states and confluence metrics
The dashboard displays 9 key metrics:
1. RSI State (value and Overbought/Oversold/Neutral)
2. MACD Flow (Bullish/Bearish and Strong/Weak)
3. Stochastic (value and Extreme/Normal)
4. Momentum Div (Active/Aligned)
5. Volume Profile (ratio and Spike/Elevated/Low)
6. Trend Strength (Bullish/Bearish and Strong/Weak)
7. Confluence (Extreme/Strong/Moderate/None)
8. Signal Quality (Elite Setup/Strong Setup/Moderate/Weak)
Input Parameters
Oscillator Settings:
RSI Period: Length for RSI calculation (default: 14)
MACD Fast: Fast EMA for MACD (default: 12)
MACD Slow: Slow EMA for MACD (default: 26)
MACD Signal: Signal line period (default: 9)
Stochastic Period: Length for Stochastic calculation (default: 14)
Divergence Detection:
Pivot Detection: Lookback for swing detection (default: 5)
Regular Divergence: Enable/disable regular divergence detection
Hidden Divergence: Enable/disable hidden divergence detection
Multi-Oscillator Confluence: Require multiple oscillators
Extreme Zones Only: Only detect divergences in overbought/oversold
Volume Analysis:
Volume Analysis Period: Length for volume average (default: 20)
Volume Divergence: Enable/disable volume divergence detection
Volume Spike Threshold: Multiplier for spike detection (default: 1.5x)
How to Use This Indicator
Step 1: Monitor RSI State
Check dashboard for RSI level. Divergences in extreme zones (>70 or <30) are most powerful. Wait for extremes for best setups.
Step 2: Watch for Divergence Labels
When "BULL DIV" or "BEAR DIV" labels appear, divergence is detected. "EXTREME" suffix means it's in overbought/oversold - highest probability.
Step 3: Check Confluence Score
Dashboard shows confluence level. "EXTREME" or "STRONG" = multiple oscillators confirming. Only trade 3+ confluence setups.
Step 4: Confirm with Volume
Look for "VOL DIV" labels. Volume divergence + oscillator divergence = very high probability. Volume confirms the divergence.
Step 5: Assess Signal Quality [/b>
Dashboard shows "ELITE SETUP" when momentum divergence + extreme RSI/Stochastic + high confluence. "STRONG SETUP" for good setups. Only trade Elite and Strong.
Step 6: Use Hidden Divergence for Continuation
"H-BULL" or "H-BEAR" labels signal trend continuation. Enter pullbacks in strong trends when hidden divergence appears.
Step 7: Monitor Trend Strength Best Practices
Divergences in extreme zones (RSI >70 or <30) are most reliable
Multi-oscillator confluence (3+) significantly increases win rate
Volume divergence adds powerful confirmation
Hidden divergences are for trend continuation, not reversal
Regular divergences are for reversal, not continuation
Momentum divergence provides early warning before price divergence
Extreme zone backgrounds (red/green tint) show best divergence areas
Enhanced candle colors show when momentum is weakening
Confluence score guides position sizing (higher = larger)
Signal quality in dashboard filters low-probability setups
Indicator Limitations
Divergences can persist for extended periods before reversing
Not all divergences result in reversals - some fail
Strong trends can produce multiple divergences before reversing
Hidden divergences require established trend context
Volume divergence less reliable on low-volume instruments
Pivot detection requires sufficient volatility
Multiple divergences in short period may signal consolidation
The indicator shows momentum conflicts, not guaranteed reversals
Extreme zones can remain extreme longer than expected
Technical Implementation
Built with Pine Script v6 using:
RSI divergence detection with pivot comparison
MACD momentum analysis with histogram tracking
Stochastic extreme zone identification
Volume divergence detection with pivot tracking
Momentum divergence calculations (rate-of-change)
Multi-oscillator confluence scoring system
Enhanced candlestick coloring based on trend and momentum
Volume spike detection with box visualization
Extreme zone background gradients
Real-time dashboard with 9 divergence metrics
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its comprehensive divergence integration approach. While individual components (RSI, MACD, Stochastic, volume) are established concepts, this indicator is justified because:
It synthesizes multiple oscillator divergence detection into unified confluence scoring
The multi-oscillator confluence system quantifies setup quality across independent signals
Hidden divergence detection distinguishes continuation from reversal patterns
Volume divergence integration adds participation confirmation layer
Momentum divergence analysis provides early warning system
Enhanced candlestick coloring shows trend and momentum strength visually
Signal quality classification (Elite/Strong/Moderate/Weak) filters setups
Extreme zone backgrounds highlight optimal divergence areas
Real-time dashboard presents 9 metrics simultaneously for holistic divergence analysis
Each component contributes unique information: RSI shows relative strength, MACD shows momentum, Stochastic shows extremes, volume shows participation, momentum shows acceleration, confluence shows conviction, and quality shows probability. The indicator's value lies in presenting these complementary perspectives simultaneously with unified classification and actionable trade signals.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors.
Divergence analysis is a tool for identifying potential reversals and continuations, not a crystal ball for predicting future price movement. Divergences do not guarantee reversals. Confluence does not guarantee success. Past divergence patterns do not guarantee future divergence patterns. Market conditions change, and strategies that worked historically may not work in the future.
The divergences displayed are analytical constructs based on current market data, not predictions of future price movement. High confluence scores do not guarantee profitable trades. Users must conduct their own analysis and risk assessment before making trading decisions.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades Indicator
