Macd and RSI % Change Signals MTF MACD & RSI % Change Signals + MTF Open Confirmation
Advanced momentum indicator combining Logarithmic RSI % Change, modified MACD, and Multi-Timeframe Open Price Confirmation.
This indicator detects high-probability entries by filtering custom MACD and RSI-based signals with strict multi-timeframe price action confirmation.
How It Works
1. Dual Signal Engine
Logarithmic RSI % Change System:
Uses RSI calculated on logarithmic scale (high, low, close) to generate more sensitive momentum signals.
Multiple bullish and bearish crossover levels (C20, C10, L20 for longs / L20, C20, C10 for shorts).
Modified MACD System:
Special MACD built with RSI applied to the oscillator for smoother and more responsive signals.
Multiple threshold levels (M2, M3, M4, M5) for both long and short entries.
2. MTF Open Price Confirmation (Core Filter)
Checks current price against the opening price of 4 customizable timeframes (default: 5m, 15m, 60m, 240m).
Long Signal is only valid if price is above the open on all selected timeframes.
Short Signal is only valid if price is below the open on all selected timeframes.
This powerful filter ensures you only trade in the direction of the current multi-timeframe bias.
3. Visual Elements
Clear triangle signals with labels (C20L, M5S, etc.) for easy identification.
Pullback Levels: Automatically plots the most recent confirmed signal’s high/low as dynamic support/resistance.
Live MTF Status Table: Shows current Open prices of all timeframes and overall market bias (LONG / SHORT / NEUTRAL).
Key Features
Log RSI % Change signals (highly responsive)
Modified MACD with multiple confirmation levels
Strict 4-Timeframe Open Price Confirmation Filter
Pullback level plotting for better risk management
Real-time MTF Open Status Panel
Fully customizable timeframes
Multiple alert conditions
Best Used For
Intraday & Scalping on lower timeframes (5m, 15m)
Swing Trading on 1H and 4H charts
Filtering false MACD/RSI signals in choppy markets
Trading with the dominant multi-timeframe momentum
This system significantly reduces whipsaws by combining powerful momentum oscillators with a strict higher-timeframe open price alignment filter. Indicator
Indicator
Divergence Strength Analyzer-John HaydenHayden Momentum Regimes & Time-Decay Divergence Analyzer
Overview:
Most retail traders treat the Relative Strength Index (RSI) as a basic overbought/oversold oscillator—shorting above 70 and buying below 30. In *"RSI: The Complete Guide," John Hayden* completely flips this flawed conventional wisdom on its head. Hayden demonstrates that extreme RSI levels actually represent high-velocity structural momentum expansions rather than impending reversals.
This open-source Pine Script tool here maps Hayden's proprietary market regimes, isolates institutional *Hidden and Normal Divergences, and introduces a strict **Time-Decay Strength Matrix* to filter out low-velocity market noise.
Core Mechanics
1. The High-Velocity Regime Speedometer
Instead of looking for immediate trend reversals when the RSI enters extreme territories, this indicator uses these levels to categorize the macro trend structure:
*The Bull Market Regime (40/80 Range):* Initiated when the RSI breaks out above 70. Once confirmed, the RSI establishes a firm support floor around the *40* line during pullbacks, indicating heavy institutional backing.
*The Bear Market Regime (20/60 Range):* Initiated when the RSI drops below 30. Relief rallies consistently stall out and find a ceiling around the *60* line, proving persistent distribution.
2. The Power of Hayden's Hidden Divergence
While normal divergence frequently acts as a near-term counter-trend trap, Hayden highlights *Hidden Divergence* as the ultimate trend-continuation footprint.
* In a confirmed bullish regime, the price prints a structurally higher low while the RSI registers a deeply oversold lower low. This discrepancy indicates that while emotional momentum has fully cooled off, structural buying pressure remains completely intact, creating a coiled spring ready to unleash the next "superfast" leg up.
3. The Time-Decay Strength Matrix (%)
A primary reason traders fail with standard divergence indicators is that they fail to account for the element of time. Hayden explicitly teaches that the validity of a momentum discrepancy decays the longer it takes to form.
This script mathematically calculates the precise distance between structural peaks or troughs and scores the setup using Hayden’s time-based parameters:
* 🚀 *100% Strength (Ultra Condensed):* \le 4 bars between pivots. Highly explosive immediate velocity.
* 📈 *75% Strength (Standard Strong):* 5 to 8 bars between pivots. Highly reliable trend-joiner.
* ⚖️ *50% Strength (Moderate):* 9 to 12 bars between pivots. Average momentum reliability.
* ❌ *0% Strength (Decayed/Filtered):* > 16 bars between pivots. The setup is completely ignored and filtered off your chart to prevent slow, sideways chops.
How to Trade This Script
1. *Scan the Regime Background:* Look for a faint green chart overlay to confirm you are inside a valid Hayden Bull Regime.
2. *Locate the Footprint:* Wait for the indicator to map an *MDRP Hidden Bull* or *Normal Bull* label.
3. *Verify the Strength %:* Prioritize signals showcasing *75% to 100% Strength*. This ensures you are striking right at the inflection point of structural trend acceleration.
4. *Invalidation:* If the macro RSI breaks out of its trend bounds (e.g., dropping below the 40-floor buffer in a bull market), the regime shifts to neutral, and current long-bias expectations are discarded.
Features
*Pure Price & Momentum Geometry:* Zero volume filters are utilized, making this script ideal for clean execution across both highly liquid indexes and choppy small-cap resource scripts.
*Dynamic Chart Labels:* Eliminates chart confusion by printing the exact divergence type alongside its dynamic strength rating directly on the key pivot bar.
Indicator
Smart RSI Crossover█ OVERVIEW
Smart RSI Crossover is an indicator designed for traders who use RSI crossovers with its moving average as momentum change signals. Instead of generating a signal immediately after the crossover, the indicator requires additional confirmation in the form of a price breakout from a box created at the moment the RSI signal occurs. This eliminates a large portion of false signals that appear during consolidations and chaotic market movements.
An additional filter is the RSI position relative to the 50 level. Bullish signals can only be generated when RSI is above the 50 level, while bearish signals can only be generated when RSI is below the 50 level. This allows signals to better align with the dominant market momentum.
The script also includes candle coloring, multi-layer trend visualization in the form of RSI Regime Fog, automatic Take Profit / Stop Loss levels, and a table displaying current RSI and RSI MA values.
█ CONCEPTS
Classic RSI crossovers with its moving average often appear too early and generate many false signals, especially during sideways price action. Smart RSI Crossover solves this problem by adding a breakout confirmation mechanism.
For a crossover to be considered valid:
• Bullish signal requires:
- RSI above the 50 level
- RSI rising compared to the previous candle
• Bearish signal requires:
- RSI below the 50 level
- RSI falling compared to the previous candle
Once these conditions are met, a signal box is created:
• A green box is drawn for bullish signals
• A red box is drawn for bearish signals
The default height of the box corresponds to the signal candle’s range (High–Low). It can optionally be extended by a multiple of the average candle size.
A BUY signal is generated only when price closes above the upper boundary of the bullish box.
A SELL signal is generated only when price closes below the lower boundary of the bearish box.
If price invalidates the box structure before a breakout occurs, or if the box remains active for too long, it is automatically removed without generating a signal.
This approach filters out many weak RSI crossovers and focuses only on situations where momentum has been confirmed by actual price movement.
█ FEATURES
RSI Settings
• Fully customizable RSI (default length: 14)
• Selectable data source for RSI calculation
• Choice of moving average type for RSI
• Adjustable RSI moving average length
Signal Settings
• BUY is generated only after price closes above the upper boundary of the bullish box
• SELL is generated only after price closes below the lower boundary of the bearish box
• Two signal visualization styles:
- Triangles
- BUY / SELL labels
Breakout Boxes
• A box is created at every valid RSI crossover that meets the filter conditions
• Default box height = signal candle range (High–Low)
• Optional extension: average candle size × Box Extension Multiplier
• Box color depends on signal direction
• Box remains active until:
- Price breaks out
- Box structure is invalidated
- Maximum box age is exceeded
• Adjustable border width and fill transparency
• Configurable maximum number of candles the box can stay active
RSI Regime Filter
• BUY signals can only occur when RSI > 50
• SELL signals can only occur when RSI < 50
• RSI must move in the direction of the signal:
- Rising for BUY
- Falling for SELL
• Additional filtering that reduces signals during consolidations and neutral market conditions
Candle Coloring
• Automatic candle coloring based on the current relationship between RSI and its moving average
• Bullish color when: RSI ≥ RSI MA
• Bearish color when: RSI < RSI MA
• Option to completely disable candle coloring
RSI Regime Fog
This is a visual representation of the current market regime based on the position of RSI relative to its moving average.
• Height of each layer = average candle size × Fog Height Multiplier
• Gradually increasing transparency to create a depth effect
• Immediate visual identification of dominant momentum
RSI Information Table
Real-time table displaying:
• Current RSI value
• Current RSI MA value
• Direction of change for both indicators
Take Profit / Stop Loss
After every confirmed BUY or SELL signal, the indicator automatically plots position management levels.
Stop Loss:
• ATR × Multiplier, or
• Fixed percentage from entry price
Take Profit:
• TP1 based on RR 1
• TP2 based on RR 2
• TP3 based on RR 3
• All risk-reward ratios are fully adjustable
• Individual TP and SL levels can be enabled/disabled independently
Built-in alerts:
• BUY Alert
• SELL Alert
█ APPLICATIONS
Smart RSI Crossover is primarily a signal indicator used to identify potential trading opportunities after confirmed breakouts driven by RSI momentum.
It performs best when combined with other technical analysis tools that help assess signal quality and increase the probability of successful trades.
Before entering a position, it is recommended to check:
• Whether price is not sitting directly below a major resistance (for BUY) or above a major support (for SELL)
• Whether the signal direction aligns with the dominant trend on a higher timeframe (HTF)
• Whether significant supply/demand zones are nearby
• Whether market structure supports the trade direction
• Whether the potential risk-to-reward ratio is attractive
█ NOTES
• Signals appear only after a box breakout, therefore several candles may pass after the actual RSI crossover.
• The 50 level acts as an additional momentum filter, ensuring that bullish and bearish signals are generated only in appropriate market conditions.
• RSI Regime Fog is a purely visual element and does not affect signal generation logic.
• TP1–TP3 and SL levels are auxiliary and serve as visual references only. Traders can freely apply their own position management rules, partial profit taking, trailing stops, or any other risk management methods.
Indicator
ATOM RSI Indicator [3Commas]ATOM RSI Indicator
🔷 What it does:
This is a signal-only indicator that mirrors a long-only DCA workflow on ATOM / USDT. It tracks a single virtual position: a base entry opens when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the virtual position at fixed deviations from the base entry, each larger than the last; the position is then closed at a fixed take-profit above the blended average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL from honest fill-by-fill bookkeeping, and emits a webhook-ready JSON alert payload on the base order, every safety order, and the close.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Honest virtual bookkeeping: avg entry, deployed capital, Open PnL, and cumulative realized PnL displayed live on the chart.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes who want a chart-driven signal source.
- Bot operators who want base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Traders who want strategy-tester-equivalent insight (live realized / unrealized PnL) without running a backtest engine.
🔷 How does it work:
Base Entry: On each closed 4h bar the indicator reads RSI(14). When RSI falls below 28 and there is no open virtual position, it marks a virtual base order at the close price and dispatches the entry webhook.
Averaging Orders: Once in a virtual position, the indicator watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding safety order is recorded and its webhook fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, and Open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut, no synthetic averaging.
Take Profit & Lifetime PnL: When price closes at or above the take-profit level (a fixed percentage above the average entry), the virtual position is closed, its round-trip profit is added to a persistent realized-PnL counter, and the close webhook fires. The status table displays both Open PnL (current unrealized state) and cumulative realized PnL, so live performance is visible directly on the chart.
Capital Bounds: Total virtual deployed capital cannot exceed the base order plus the five safety orders. Once all five are filled, no further adds occur — the position simply waits for the take-profit.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the signal quiet in normal conditions and only fires after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. One PulseWire alert with "Any alert() function call" drives a 3Commas DCA Bot end-to-end.
- Live PnL Tracking: Open PnL and cumulative realized PnL are displayed live on the chart — the indicator gives strategy-tester-equivalent insight without running a backtest.
🔷 Considerations Before Using the Indicator:
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the virtual position sits fully loaded with no further adds and no stop — Open PnL can grow deeply negative until price reverts.
No Stop Loss: There is no exit signal on adverse moves. Risk is bounded only by the fixed ladder allocation (base + five AOs ≈ $20,633 at default sizing). If a hard exchange-side stop is required, configure it on the bot directly.
Match Sizing to Your Bot: The avg-entry and PnL display becomes meaningful only when the indicator's base/AO sizing matches your real DCA Bot configuration.
Cross Detection Granularity: Base, safety-order, and take-profit events are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks.
Live vs Historical State: The virtual position is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset.
Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live realized-PnL counter in the status table gives a running approximation. For full metrics over the reference ~30-month sample (84 closed trades, 70.24% win rate, 4.57% max drawdown, profit factor 3.417, +4.74% net return over January 1, 2024 – June 24, 2026), use the companion strategy version on identical parameters. Note the 84-trade sample is below the ~100-trade floor for statistical confidence — treat those metrics as indicative.
🔷 How to Use It:
🔸 Add the indicator to a 4h ATOM / USDT chart.
🔸 Confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your bot's configuration. Match the base/AO sizing so the avg-entry and PnL display stays meaningful.
🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_ATOM).
🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The base order, each safety order, and the close will each emit a dedicated JSON payload formatted for direct DCA Bot consumption.
🔷 INDICATOR SETTINGS
Base Order Size: Virtual capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Virtual capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table (shows status, AOs filled, base/avg entry, TP target, deployed capital, open PnL, RSI, and cumulative realized PnL).
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Indicator
ATOM RSI Strategy [3Commas]ATOM RSI Long Strategy
🔷 What it does:
This is a long-only DCA (Dollar-Cost Averaging) strategy for ATOM / USDT that opens a position only in deep-oversold conditions and then averages down on a fixed safety-order ladder. A base order fires when 4h RSI(14) drops below 28; if price keeps falling, five averaging orders add to the position at fixed deviations from the base entry, each larger than the last. The full position is closed at a fixed take-profit above the blended average entry. There is no trailing exit and no stop loss — the position is structurally bounded by the five-order ladder.
- Single entry filter: 4h RSI(14) below 28 (deep oversold).
- Five averaging orders at fixed deviations (−2%, −5%, −9.5%, −16%, −25%) with 1.8× size scaling per rung.
- Fixed take-profit on the blended average entry; no trailing, no stop loss.
- Every fill and close emits a webhook-ready JSON alert payload for a DCA Bot.
🔷 Who is it for:
- Swing traders accumulating ATOM on deep RSI flushes rather than chasing momentum.
- Bot operators who want a chart-driven signal source with base / safety-order / close webhook JSON ready to drive a DCA Bot.
- Traders comfortable with martingale-style averaging who size their capital to the worst-case ladder fill.
- Range / mean-reversion traders who prefer mechanical oversold entries over discretionary timing.
🔷 How does it work:
Entry (Base Order): On each closed 4h bar the strategy reads RSI(14). When RSI falls below 28 and there is no open position, it opens the base order at market (or limit, optionally) and dispatches the entry webhook.
Averaging Orders: Once in a position, the strategy watches price relative to the original base entry. The five safety orders are armed at fixed deviations from that base entry — not cumulatively — at −2%, −5%, −9.5%, −16%, and −25%. As each threshold is crossed on bar close, the corresponding averaging order fires. Order sizes scale 1.8× per rung ($900 → $1,620 → $2,916 → $5,249 → $9,448 from a $500 base), pulling the blended average entry down toward the latest fill.
Exit (Take Profit): While in a position, the strategy computes a take-profit price a fixed percentage above the current average entry. When price closes at or above that level, the entire position is closed at market and the close webhook fires. There is no trailing and no stop loss.
Capital Bounds: Total deployed capital cannot exceed the base order plus the five safety orders. Once all five averaging orders are filled, no further adds occur — the position simply waits for the take-profit. This ladder cap is the strategy's primary risk control.
🔷 Why it's unique:
- Deep-Oversold-Only Entries: A single, strict RSI(14) < 28 filter on 4h keeps the strategy out of the market in normal conditions and only commits capital after a meaningful flush.
- Fixed-Deviation Martingale Ladder: Safety orders are placed at fixed percentages from the base entry with deliberate 1.8× size scaling, so each rung has progressively more influence on the average — a transparent, fully-specified averaging schedule rather than an opaque adaptive grid.
- Full Webhook Chain: Base order, each safety order, and the close all emit dedicated JSON payloads. The strategy can drive a 3Commas DCA Bot end-to-end with no glue layer.
- On-Chart Transparency: The AO ladder, average entry, and take-profit target are plotted live, and the status table reports RSI, AOs filled, base/average entry, TP target, and max deployable capital — so the position state is always visible.
🔷 Considerations Before Using the Strategy:
Trade Volume — Below the Statistical Floor: The reference backtest produced 84 closed trades over ~30 months. This is below the ~100-trade threshold often used as a floor for statistical relevance, so treat the win rate and profit factor as indicative rather than conclusive. The strict RSI < 28 filter is what keeps the trade count low.
Martingale Tail Risk: Order sizes scale 1.8× per rung, so the deepest fills are by far the largest. If ATOM trends hard below the −25% AO5 level without recovering to take-profit, the position sits fully loaded with no further adds and no stop — unrealized loss can grow until price reverts. The 1.8× scaling amplifies both the recovery speed and the downside.
No Stop Loss Justification: There is no exit on adverse moves. Per-order risk is bounded by the fixed ladder allocation; aggregate exposure is capped at base + five AOs (≈ $20,633 on the default $100k account, ~20.6% of equity). Size the base/AO inputs down to match the worst-case exposure you are willing to hold.
Capital Deployment & Drawdown: The reference backtest reached a 4.57% maximum equity drawdown at default sizing — but that depends on the configured ladder fitting within ATOM's observed swings. A deeper or more prolonged decline than the test sample would produce a larger drawdown.
Fees: The default commission (0.06% per trade) should be matched to your exchange's actual taker fees. With a fixed 3% take-profit the per-trade edge is modest, so a fee mismatch matters.
Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, particularly for martingale-style averaging strategies whose risk profile is dominated by rare deep drawdowns.
🔷 STRATEGY PROPERTIES
Symbol: BYBIT:ATOMUSDT.P (Perpetual) — strategy is portable to any ATOM / USDT pair.
Timeframe: 4H (RSI sampled on 4h).
Test Period: January 1, 2024 — June 24, 2026 (~30 months).
Initial Capital: 100,000 USDT.
Base Order Size: 500 USDT.
Averaging Orders: 5, at −2% / −5% / −9.5% / −16% / −25% from base entry.
AO Sizing: 1.8× per rung — 900 / 1,620 / 2,916 / 5,249 / 9,448 USDT.
Max Deployed Capital: ≈ 20,633 USDT (~20.6% of equity, all AOs filled).
Commission: 0.06% per trade.
Slippage: 3 ticks.
Entry Filter: 4h RSI(14) below 28.
Take Profit: 3% above average entry.
Stop Loss: None — ladder allocation is the structural risk cap.
Trailing: None.
Strategy: Long Only.
🔷 STRATEGY RESULTS
⚠️ Remember, past results do not guarantee future performance.
Net Profit: +4,739.50 USDT (+4.74%)
Max Equity Drawdown: 4,608.66 USDT (4.57%)
Total Closed Trades: 84
Percent Profitable: 70.24% (59 / 84)
Profit Factor: 3.417
🔷 How to Use It:
🔸 Adjust Settings: Open the strategy inputs and confirm the RSI level (28), the five AO deviations and sizes, and the take-profit percentage match your risk profile. Scale the base/AO sizes down for lower exposure.
🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band — note this configuration reached 4.57%. Keep in mind the 84-trade sample is below the ~100-trade floor for statistical confidence.
🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The base order, each safety order, and the close will each emit a dedicated JSON payload.
🔷 INDICATOR SETTINGS
Base Order Size: Capital committed on the first (base) entry.
AO Deviations: Fixed percentage distances from the base entry where each safety order fires.
AO Sizes: Capital per safety order (1.8× scaling by default).
RSI Timeframe / Length / Level: Oversold filter for the base entry (default 4h, 14, below 28).
Take Profit (%): Distance above average entry where the full position closes.
Bot ID / Email Token / Pair: Webhook fields injected into every alert payload.
Visualization: Toggle the AO ladder, fill labels, avg/TP lines, and status table.
Brand Watermark: Configurable text, position, size, and transparency.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc. Strategy
Adaptive RSI Supertrend [MarkitTick]💡 A highly advanced, multi-dimensional momentum and volatility tracking ecosystem designed for professional market analysis. Rather than relying on traditional price-based trailing stops, this indicator projects a volatility-banded Supertrend directly onto an Adaptive Relative Strength Index (ARSI). This creates an incredibly responsive momentum oscillator that dynamically adjusts its own thresholds based on underlying market kinematics. By integrating high-order digital signal processing filters, higher timeframe confirmations, and volume-weighted validation, this tool provides a comprehensive, terminal-style perspective on market regime, momentum acceleration, and localized price extremes without succumbing to the noise typical of standard oscillators.
✨ Originality and Utility
The standard Relative Strength Index is frequently plagued by false signals, erratic whipsaws during consolidation, and a failure to contextualize momentum within broader structural trends. This script resolves these systemic inefficiencies through a deliberate and mathematically sound synthesis of disparate analytical domains. The combination of an ARSI with a localized Supertrend is not an arbitrary pairing; it solves the problem of static overbought/oversold boundaries. By mapping average true range (ATR) bands onto the RSI itself, the indicator creates dynamic, breathing support and resistance levels for momentum. Furthermore, the integration of advanced smoothing algorithms (Kalman and LLAMA) strips out high-frequency noise, ensuring that crossovers between the ARSI and the Supertrend-derived Merged Line represent statistically significant momentum shifts rather than fleeting market anomalies. This unified framework replaces the need for an overlapping array of disparate indicators, offering a singular, high-contrast dashboard for absolute market clarity.
🔬 Methodology and Concepts
The internal architecture of this tool is built upon several synchronized analytical layers, heavily optimized to protect the integrity of the underlying logic while delivering seamless visual output.
● Adaptive Momentum Core
At the heart of the script is the ARSI, which abandons traditional static lookbacks in favor of a responsive differential tracking model. It evaluates the absolute range of price action against directional movement, feeding these differences through a recursive smoothing engine. This results in an oscillator that remains highly sensitive to genuine trend initiation while heavily penalizing sideways chop.
● Digital Signal Processing (DSP) Filters
The raw momentum data is processed through user-selectable DSP algorithms to extract the true signal from market noise. The Kalman Filter dynamically estimates the true state of momentum by balancing process noise against measurement noise, adapting instantly to volatility spikes. Alternatively, the LLAMA filter applies an efficiency-ratio-driven alpha scaling model, tightening its smoothing factor during periods of low efficiency and relaxing it during strong directional bursts.
● Oscillator-Bound Supertrend
Instead of applying a Supertrend to price, the script calculates a specialized ATR based on the frame-to-frame variance of the ARSI. It then projects upper and lower deviation bands around the ARSI, maintaining a directional bias based on trailing breakouts. The resulting baseline is then averaged with the DSP-filtered signal to create the "Merged Line," serving as the ultimate zero-lag trailing threshold for momentum.
● Multi-Factor Regime Scoring
The script continuously evaluates the broader market context by scoring four distinct components: the absolute level of the ARSI, the trigonometric angle of the ARSI trajectory, the state of the oscillator Supertrend, and the relationship of price to a macroeconomic baseline moving average. These factors are normalized and aggregated into a 0-100 Regime Score, offering a unified metric of trend health.
🎨 Visual Guide
The visual presentation is engineered for high-contrast, dark-mode optimized aesthetics, providing immediate, terminal-style data processing without chart clutter.
● Chart Elements
Color-Matched Candles: Price candles are painted based on the kinetic relationship between the ARSI and its signal line. Neon Cyan indicates strong bullish momentum, Dark Teal indicates weak bullish momentum, Deep Crimson indicates strong bearish momentum, and Maroon denotes weak bearish pressure. Slate Gray represents a neutral momentum state.
Dynamic Support/Resistance Boxes: Translucent, neon-bordered zones (Cyan for Support, Crimson for Resistance) highlight localized structural extremes, providing immediate context for price breakouts.
Trade Projection Labels: When crossover signals fire, dashed projection lines emerge, extending forward to display precisely calculated Entry (Slate), Stop Loss (Crimson), and multi-tiered Take Profit (Neon Green) levels based on dynamic risk-to-reward parameters.
Chart Angle Label: A floating text label displays the exact trigonometric angle and classification of the current trend (e.g., "Strong Uptrend / 45.2°").
● Oscillator Pane Elements
Adaptive RSI Line: Plotted with a dynamic gradient that transitions from Deep Crimson (extreme weakness) to Neon Cyan (extreme strength), instantly conveying momentum depth.
Merged Signal Line: A distinct Neon Purple to Deep Pink gradient line acting as the trailing support/resistance for the ARSI.
Divergence Histogram: Translucent Cyan and Red histogram bars plot the delta between the ARSI and the Merged Line, visualizing the acceleration or deceleration of momentum crosses.
Background Shading: The oscillator pane background shifts to a deep blue/purple tone during overbought (above 80) and oversold (below 20) extremes. A striking Electric Gold background illuminates periods where momentum enters a highly compressed "Squeeze" state.
Signal Markers: Crisp "BULL" (Cyan) and "BEAR" (Red) text labels appear on the oscillator when fully validated crossovers occur.
● The Analytics Dashboard
A fixed, dark-background HUD presents granular telemetry using segmented block bars and color-coded text for rapid scannability:
ARSI Level: Percentage reading of the current momentum state.
Signal Strength: Block visualization of the DSP-filtered baseline.
Angle Momentum & Acceleration: Metrics tracking the velocity and delta-velocity of the trend trajectory.
Supertrend & Market Bias: Text readouts indicating the dominant structural direction.
HTF Trend & Volume: Validation checks displaying the alignment of higher timeframes and localized volume surges.
Volatility ATR & Last Cross: Precise numerical readouts of market expansion and the duration since the last major signal.
Regime Score: The composite 0-100 metric, color-coded from Crimson (Bear) to Neon Magenta (Transition) to Cyan (Bull).
📖 How to Use
Identify Momentum Regime: Monitor the Dashboard's Regime Score. A score above 70 combined with a Neon Cyan ARSI line indicates an environment where long positions are statistically favored.
Trade the Crossover: Wait for the ARSI to cross the Merged Line. Validated crosses will generate a distinct "BULL" or "BEAR" label. Check the Dashboard to ensure the Volume Filter and HTF Trend are aligned (marked with a green checkmark).
Navigate Squeezes: When the oscillator background turns Electric Gold, the market is experiencing a severe volatility contraction. Avoid initiating new positions during the squeeze. Wait for the background color to clear, accompanied by an Alert indicating a Squeeze Breakout, before trading the subsequent expansion.
Manage Risk via Trade Labels: Upon a valid signal, utilize the automatically projected Entry, SL, and TP lines on the main chart to structure your position sizing according to the script's ATR-derived risk mechanics.
⚙️ Inputs and Settings
ARSI & Signal Lengths: Controls the primary lookback periods for the oscillator and its baseline.
Signal Filter Type: Select between RMA, Kalman Filter, or LLAMA to dictate the specific mathematical model used for noise reduction.
Supertrend ATR Length & Factor: Adjusts the sensitivity and width of the volatility bands applied to the oscillator.
Volume Filter Multiplier: Determines the threshold required for volume validation (e.g., 1.5 requires volume to be 50% above its moving average).
HTF Timeframe: Defines the higher timeframe used for macro-trend alignment (defaults to Daily).
Squeeze Angle Threshold: The maximum absolute angle permitted to trigger a volatility contraction state.
Trade Labels (Risk:Reward): Allows fine-tuning of the Stop Loss padding and the precise ratios for TP1, TP2, and TP3 targets.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on a robust foundation of applied mathematics and digital signal processing. The core methodology employs non-linear dynamic state estimation. Unlike standard moving averages that suffer from inherent group delay, the integration of algorithms akin to the Kalman filter allows the script to recursively project the next state of momentum and update that projection based on incoming price data. This minimizes lag while aggressively smoothing standard deviation anomalies.
Furthermore, the application of volatility banding (ATR) directly to an bounded oscillator (RSI) represents a shift from price-domain analysis to momentum-domain analysis. By calculating the variance of the momentum itself, the script acknowledges that momentum has its own distinct volatility profile, independent of price action. The kinematics of the trend are evaluated using trigonometric functions to derive the slope (velocity) and the rate of change of the slope (acceleration). This multidimensional approach ensures that signals are not generated merely by price crossing a threshold, but by a mathematically validated shift in the kinetic energy of the market.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Multi-Axis Confluence Matrix Adaptive MTF & Forward CalibratedMulti-Axis Confluence Matrix — Adaptive MTF & Forward-Calibrated
What it is
A confluence oscillator that scores agreement across five independent information axes, each measured on three adaptively-resolved timeframes, then weights every axis by its own forward-measured edge on the current symbol so the score self-corrects instead of treating all inputs as equally reliable. It separates the two kinds of multi-timeframe agreement that most stacks wrongly merge, gates direction with a higher-timeframe bias, and reports the whole state in one plain-language verdict panel.
The plotted line reads like a conventional oscillator (−100 to +100, with strong-zone bands and price-chart BUY/SELL signals), so a non-technical user can interpret it at a glance — while the engine underneath is doing edge-weighted, multi-timeframe, forward-calibrated confluence.
Why these components are combined (mashup rationale)
Stacking indicators usually produces false confluence: five momentum tools in different clothes vote the same bet five times, and it looks like five confirmations when it is really one. This script is built specifically to avoid that, and every layer removes a distinct failure of naive stacking. They ship as one engine because direction, certainty, and agreement are one decision — splitting them across separate scripts would lose the cross-checks below.
1. Five orthogonal axes, each from a different data source. Agreement only carries information if the axes are independent. Each axis reads a different thing:
Momentum — price (normalized MACD-histogram sign)
Stretch — price vs an adaptive fair value (z-score of the deviation)
Order flow — signed volume (sign of a bounded cumulative volume-delta z-score)
Fear — an implied-volatility index (direction of a negated IV trend)
Cross-market — a correlated leader instrument (signed momentum), off by default
Because no two axes share an input, four of them agreeing is four independent witnesses, not one witness repeated.
2. Vote / gate split. Directional axes vote long or short. Context does not vote — it scales conviction or vetoes. A volatility-regime measure and a trend-efficiency measure only shrink conviction; the higher-timeframe bias only decides which side is allowed. High volatility is neither bullish nor bearish, so folding it into the direction sum would inject bias. Keeping context as a multiplier rather than an addend is the single thing that stops the stack collapsing into "momentum with extra steps."
3. Two separate confluence counts, never summed.
Method confluence = how many independent axes agree on the signal timeframe (the rare, high-information agreement).
Scale confluence = how many timeframes one axis agrees on (robustness/timing only — the same signal at different resolutions, not a new vote).
Merging them lets three timeframes of one axis drown out a contradicting axis. They are reported on separate rows so you can see which kind of agreement you actually have.
4. Adaptive multi-timeframe resolution. The bias / signal / trigger timeframes are derived as multiples of the chart timeframe, clamped and snapped to real frames. The "bias-above, vote-between, trigger-at" relationship is preserved on any chart, instead of fixed frames that are only correct on the one chart they were tuned for.
5. Per-axis forward calibration (the core original component). Each axis is calibrated on each timeframe by a triple-barrier outcome (profit barrier / stop barrier / time horizon), with sample-uniqueness weighting and recency decay, reported as an edge over a barrier-matched base rate with a Wilson confidence interval. Each axis then votes weighted by its own edge lower-bound, so an axis that is not paying on the current symbol contributes little and cannot bias the score merely by being present. A small weight floor keeps the engine responsive (edge tilts the score rather than fully gating it); set the floor to zero for strict gating.
6. Higher-timeframe bias gate. The slow frame sets which side is allowed and does not vote, which blocks the counter-trend entries that punish mean-reversion approaches.
Remove any one layer and the stack loses a check it cannot recover. That is the justification for combining them.
How to use it
The line lives in −100..+100. In the green zone = strong bullish confluence; red zone = strong bearish; mid = no edge. Read it like any oscillator.
BUY / SELL triangles print on the price chart only when the gated, edge-weighted verdict fires (method confluence + conviction + bias gate all pass). Triangles with text = high conviction; without text = weaker. A latch + cooldown gives one clean mark per swing, not a cluster.
Bull / Bear divergence is drawn on the score line, spaced by a cooldown, and suppressed only when it directly contradicts a high-conviction opposite verdict (early-reversal divergences against a weak score are kept).
The verdict panel (top-right, on by default) states the action in plain language: tier, what to do, method/scale confluence, conviction, calibration warm-state, and which side the higher-TF bias allows.
The axis × timeframe matrix is an advanced view, off by default — turn it on to inspect each axis's arrows across timeframes and its measured edge. A Key-info table (Compact by default, Pro for full detail) summarizes the live state on the left.
Any market: the price source, volume source (with a borrow-symbol option for instruments that report no volume), the implied-volatility symbol, and the cross-market leader are all inputs in the settings. Defaults suit a major index future; change the symbols for any market, or clear the fear / cross-market symbols to drop those axes (the score re-weights over the axes that remain).
What makes it original
The multi-axis matrix, the vote/gate split, the dual (method vs scale) confluence accounting, the adaptive timeframe resolution, and the per-axis-per-timeframe forward edge-weighting are this script's own construction. It is not a re-skin of a single classic indicator — it is an engine for organizing several independent reads into one honest, self-correcting confluence score.
Outputs (Data Window)
Generic, identifiable names for use by other scripts: direction, conviction, method confluence, scale confluence, higher-TF bias, regime direction, edge, edge lower-bound, and sample count.
Non-repainting
Every off-chart-timeframe read uses confirmed previous bars with lookahead disabled; votes confirm on bar close; every calibrated statistic is forward-measured at fixed barriers on confirmed bars. The live bar is provisional, as with any indicator.
Concept credits (techniques operationalized here — not third-party code)
MACD: Gerald Appel. Bands / %B style stretch: John Bollinger. Cumulative volume delta and divergence: standard order-flow practice. Implied-volatility index methodology: CBOE. Trade-side from standardized returns (Bulk Volume Classification): Easley, López de Prado & O'Hara. Triple-barrier labeling and sample uniqueness: López de Prado. Wilson score interval: Edwin B. Wilson. Efficiency-ratio regime: Perry Kaufman. The matrix architecture and the calibration/weighting scheme are the author's own.
Disclaimer
Research and education only. This is not financial advice, not a recommendation, and not a guarantee. The axes are deliberately compact reads of their concepts. Calibration is in-sample, forward-measured at fixed barriers, with no costs, slippage, or guaranteed fills. Indicators describe past behavior; they do not predict the future. Trading carries risk of loss. Test out-of-sample and make your own decisions. Indicator
Intermarket Divergence with Reliability ScoringIntermarket Divergence with Reliability Scoring
Related markets tend to move together. When your chart pushes to a new high but a market that usually tracks it does not confirm, that non-confirmation can precede a turn. This script measures divergence between your chart and a chosen leader market — but only when the leader is actually correlated to price, because a decoupled market's "divergence" is meaningless — and then scores, in real time, whether those divergences have been worth trading on your symbol.
WHAT IT PLOTS
A normalised oscillator built from a chosen leader market, its stretch bands, divergence markers and connecting pivot lines, plus a plain-language verdict panel. By default the chart stays minimal — the oscillator and the verdict panel — with optional key-info and per-class tables you can switch on in settings.
WHY THESE COMPONENTS ARE COMBINED, AND HOW THEY WORK TOGETHER
Three classical pieces are fused into one pipeline, not stacked as independent signals:
A z-scored leader series — optionally inverted, optionally lead-lag shifted — the cross-market line your price is compared against.
A live correlation gate — the leader only votes when its trailing correlation to price clears a threshold, so non-confirmations from a decoupled market are ignored.
A binomial-proportion confidence test — asks, for each divergence class, whether the expected move followed more often than a same-zone baseline would deliver.
Part 1 builds the comparison, part 2 keeps only the meaningful divergences, part 3 decides whether the survivors have actually paid on this instrument, by direction. The parts are interdependent — remove any one and the script can no longer answer its core question: is this intermarket divergence worth trading here, and which way?
HOW TO READ IT
The verdict panel translates the statistics into four states:
GREEN, edge confirmed: these divergences have beaten a same-spot baseline here. Worth acting on.
RED, no edge here: they have lost to a coin-flip. Skip them, pick a leader that genuinely leads, or change the timeframe.
AMBER, unproven: edge not statistically established yet; treat as low-confidence.
GREY, learning: still collecting completed samples.
It also shows:
Best signal — names a direction only once that direction is individually proven (its edge lower-bound clears zero). Otherwise it says "none confirmed", so you are never lured by a single noisy number.
Leader link — how tightly the leader currently tracks price (strong, moderate or weak). A weak link means the leader has decoupled and its divergences are unreliable.
Reward : risk — the average best move versus the average worst move after a signal, in ATR. Below 1:1 means signals have hurt more than they helped.
Market regime — reverting markets suit divergence; strong trends punish it.
A divergence is simply price making a higher high or lower low while the leader line does the opposite, counted only when the leader is correlated enough to matter.
CHOOSING A LEADER
Pick a market that genuinely leads — a currency, a global risk proxy, a sector index — not one that merely co-moves with your chart. The lead-lag offset lets you test whether it leads. A co-moving index will usually show no edge, which the panel will tell you plainly.
WHAT IS ORIGINAL
Standard intermarket tools just overlay two symbols. This one fuses a live correlation gate into the divergence filter, then keeps a self-updating, confidence-scored, per-class track record against a same-zone baseline — so you see not just that a non-confirmation printed, but whether and how it has paid, and you only trust a direction once it is statistically proven.
UNIVERSAL ACROSS MARKETS
Reads the chart's own price (the source is configurable in settings) plus one leader symbol. Defaults target NIFTY futures with Bank Nifty as the leader. Change the leader to USD/INR (inverse), a sector or overseas index, or any related market for other instruments, in any market.
OUTPUTS FOR OTHER SCRIPTS
Generic EXP_ values — oscillator, signal, probability, edge, edge lower-bound, sample count, regime, leader value and leader correlation — are published to the Data Window so other indicators can read them via input.source().
CONCEPT CREDITS
Average true range — J. W. Wilder. Binomial score confidence interval — E. B. Wilson. Trend-efficiency regime measure — P. Kaufman. Intermarket analysis and divergence — classical technical analysis.
DISCLAIMER
For research and education only. This is not financial advice, not a recommendation to buy or sell, and not a guarantee of future results. All performance shown is in-sample and past-only. Markets carry risk — do your own research and manage your own risk. Indicator
Multi-Timeframe Momentum Divergence with Reliability ScoringMulti-Timeframe Momentum Divergence with Reliability Scoring
A momentum divergence on your chart timeframe is far more reliable when the bigger picture leans the same way. This script measures momentum divergence on your chart, only counts it when enough higher timeframes point in the signal's direction, then scores — in real time — whether those gated divergences have actually been worth trading on your symbol, and which way.
What it plots
A normalised momentum oscillator with stretch bands and divergence markers, connecting pivot-to-pivot lines, and a plain-language panel that turns the statistics into a verdict. By default the chart stays minimal — the oscillator plus the verdict panel — with optional key-info and per-class tables you can switch on in settings.
Why these components are combined, and how they work together
Three classical pieces are fused into one pipeline — not stacked as independent signals:
A z-scored momentum oscillator (chart timeframe) — locates where price and momentum disagree, i.e. the divergence.
A higher-timeframe agreement gate — checks momentum direction on three configurable higher timeframes and requires a minimum number to align before a divergence is allowed to fire. This filters out the counter-trend divergences that fail inside a strong higher-timeframe move.
A binomial-proportion confidence test — asks, for each divergence class, whether the expected move followed more often than a same-zone baseline would deliver.
Part 1 finds the divergence, part 2 keeps only those backed by the higher-timeframe trend, and part 3 decides whether the survivors have actually paid on this instrument, by direction. The parts are interdependent — remove any one and the script can no longer answer its core question: "is this momentum divergence worth trading here, and which way?"
How to read it
The verdict panel translates the statistics into four states:
GREEN — edge confirmed: these gated divergences have beaten a same-spot baseline here. Worth acting on.
RED — no edge here: they've lost to a coin-flip. Skip them, require more higher-timeframe agreement, or change the timeframe set.
AMBER — unproven: edge not statistically established yet; treat as low-confidence.
GREY — learning: still collecting completed samples.
It also shows "Best signal" (the direction carrying the strongest measured edge), "Higher TFs" (how many of your three higher timeframes currently agree), "Reward : risk" (the average best vs worst move after a signal, in ATR — below 1:1 means signals hurt more than they help), and the market regime. The optional key-info and per-class tables (off by default) show the per-timeframe breakdown and the full per-direction track record.
A divergence is simply price making a higher high / lower low while the momentum line does the opposite — counted only when enough higher timeframes lean that way.
What's original
Standard multi-timeframe tools just colour-code higher-timeframe trend, and standard divergence tools just mark the divergence. This one fuses higher-timeframe agreement into the divergence filter, then keeps a self-updating, confidence-scored, per-class track record against a same-zone baseline — so you see not just that a divergence printed, but whether and how it has paid once the higher timeframes were on board, and which direction is carrying it.
Universal across markets
Reads only the chart's own price (the source is configurable in settings) plus the same symbol on three higher timeframes, so it runs on any symbol, any timeframe, in any market with no external data. Defaults target NIFTY futures; change the source, lengths or timeframes for other instruments.
Outputs for other scripts
Generic EXP_* values — oscillator, signal, probability, edge, edge lower-bound, sample count, regime and higher-timeframe confluence — are published to the Data Window so other indicators can read them via input.source().
Concept credits
Relative-strength momentum and average true range — J. W. Wilder. Binomial score confidence interval — E. B. Wilson. Trend-efficiency regime measure — P. Kaufman. Multi-timeframe confluence and divergence — classical technical analysis.
Disclaimer
For research and education only. This is not financial advice, not a recommendation to buy or sell, and not a guarantee of future results. All performance shown is in-sample and past-only. Markets carry risk — do your own research and manage your own risk. Indicator
MACD Momentum Entry Engine [trade_w_samet]🎯 MACD Momentum Entry Engine
MACD Momentum Entry Engine is a structured momentum-analysis and visual trade-model indicator designed to help traders study confirmed MACD events, momentum quality, directional persistence, market regime, trend alignment, candle confirmation, and multi-target risk references directly from one coordinated workflow.
The script is built around one central idea:
A MACD event should not automatically become an entry signal.
Instead of treating every MACD crossover as equally meaningful, the engine first identifies the type of momentum event, then evaluates its strength, expansion, slope, acceleration, market environment, candle quality, directional persistence, and optional trend alignment before a permanent LONG or SHORT setup is accepted.
The indicator includes:
• Configurable MACD fast, slow, and signal lengths
• EMA, SMA, RMA, and WMA calculation options
• Early Trigger and Momentum Confirmed entry timing
• Reversal, Continuation, Zero-Line Reclaim, and Momentum Expansion setups
• A transparent 0–100 Momentum Quality Score
• Alignment, histogram strength, expansion, slope, and acceleration scoring
• Loose, Balanced, Strict, and Off quality modes
• A separate 0–100 Anti-Chop Market Regime Score
• ADX, price efficiency, EMA separation, and volatility-expansion analysis
• A separate 0–100 Entry Qualification Score
• Candle body, close location, MACD separation, persistence, impulse, and trigger-context analysis
• A final composite setup score
• A+, A, B, and C internal setup grades
• Optional chart EMA, confirmed higher-timeframe EMA, and combined trend bias
• Confirmed higher-timeframe calculations
• Zero-line directional filtering
• ATR-normalized absolute histogram-strength filtering
• Internal signal cooldown and same-bar re-entry protection
• One-active-trade-at-a-time visual management
• ATR-based and XAUUSD fixed-pip risk models
• Three visual take-profit levels
• Stop First and Targets First same-bar assumptions
• Equal-third internal trade-model accounting
• Active Entry, TP1, TP2, TP3, and SL lines
• Active reward and risk boxes on the main chart
• TP3-only historical trade-model preservation
• Separate SL, Closed TP1, Closed TP2, and TP3 result labels
• Adjustable LONG, SHORT, and result-label sizes
• MACD histogram, line, signal line, momentum background, and anti-chop background
• Neon LONG and SHORT dots directly on the MACD line
• A compact main-chart dashboard
• XAUUSD symbol verification and mismatch warning
• Static PulseWire alert conditions
• Detailed dynamic alert() messages
• Data Window diagnostics
• Confirmed-close permanent signals
The purpose of this script is to provide a structured way to study when a MACD event is supported by broader momentum and market context.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not replace personal analysis, position sizing, or risk management.
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📌 OVERVIEW
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At a high level, MACD Momentum Entry Engine does the following:
• Calculates a configurable MACD using the selected average types.
• Separates the visual histogram scale from the calculation scale.
• Detects confirmed MACD crossovers and zero-line events.
• Identifies Reversal, Continuation, Zero-Line Reclaim, and Expansion setup types.
• Optionally accepts the event immediately through Early Trigger mode.
• Optionally arms the setup and waits for renewed momentum through Momentum Confirmed mode.
• Measures momentum alignment, histogram strength, histogram expansion, MACD slope, and acceleration.
• Produces separate bullish and bearish 0–100 Momentum Quality Scores.
• Measures market regime using ADX, directional efficiency, EMA separation, and volatility expansion.
• Produces a separate 0–100 Market Regime Score.
• Evaluates candle direction, body quality, close location, MACD separation, persistence, and price impulse.
• Produces separate bullish and bearish Entry Qualification Scores.
• Combines momentum, regime, and entry quality into a final composite score.
• Assigns an internal A+, A, B, or C grade.
• Applies optional chart EMA and confirmed higher-timeframe EMA bias.
• Applies zero-line, absolute-strength, cooldown, and trade-slot controls.
• Confirms permanent LONG and SHORT signals only after candle close.
• Opens one visual trade model from the confirmed signal-bar close.
• Calculates Entry, Stop Loss, TP1, TP2, and TP3.
• Tracks targets and stop events from the next candle onward.
• Applies the selected same-bar processing assumption.
• Preserves completed TP3 models when historical display is enabled.
• Removes trade drawings after SL, Closed TP1, or Closed TP2 outcomes.
• Converts the original entry label into the final result for non-TP3 outcomes.
• Adds a separate electric-purple FULL TARGET label for TP3 outcomes.
• Displays Momentum, Trend, Regime, Trade, Last Result, and Protection states in the bottom-right dashboard.
• Provides static and dynamic alert options.
• Exposes diagnostic values through PulseWire’s Data Window.
The indicator does not use machine-learning prediction.
Its scores are not probabilities.
Its labels do not promise future direction.
The script is a rule-based educational momentum framework that explains how a raw MACD event becomes an accepted or rejected setup.
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🧠 CORE IDEA
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The core idea behind MACD Momentum Entry Engine is that a crossover alone contains limited context.
A basic crossover only confirms that one MACD line has moved through another.
It does not automatically explain:
• whether the histogram is expanding
• whether momentum is accelerating
• whether the move is occurring in a directional or choppy market
• whether the signal candle supports the direction
• whether MACD separation is meaningful relative to recent behavior
• whether momentum has persisted
• whether price is aligned with an optional trend filter
• whether a recent signal already occurred
• whether a visual trade model is already active
The engine therefore uses a staged sequence:
MACD event
→ setup classification
→ momentum-quality scoring
→ optional trend-bias validation
→ anti-chop regime scoring
→ entry qualification
→ additional signal filters
→ confirmed signal
→ visual trade model
→ TP / SL lifecycle
→ result handling
For bullish conditions, the script studies upward MACD transitions, positive histogram alignment, renewed expansion, positive slope, positive acceleration, bullish candle behavior, and directional persistence.
For bearish conditions, the same process is mirrored.
The purpose is not to find the largest possible number of signals.
The purpose is to make the acceptance process visible, configurable, and understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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MACD Momentum Entry Engine is not designed to be used as a blind buy/sell system.
A raw MACD event must move through multiple stages:
A crossover or momentum event appears
→ the event is classified
→ the momentum-quality layer is evaluated
→ the trend-bias layer is evaluated
→ the anti-chop layer is evaluated
→ the candle and entry-quality layer is evaluated
→ zero-line and absolute-strength filters are checked
→ cooldown and active-trade restrictions are checked
→ the setup must remain valid at candle close
→ a permanent LONG or SHORT setup is printed
→ Entry, SL, TP1, TP2, and TP3 are projected
→ the trade model is monitored from the following candle
→ the model closes at TP3 or Stop
→ the final chart result is preserved or cleaned
Each module serves a different purpose.
The MACD core defines the momentum relationship.
The setup engine identifies what kind of event occurred.
The momentum-quality engine measures the internal strength of that event.
The anti-chop engine measures whether the broader environment is directional enough for the selected mode.
The entry-qualification engine evaluates the signal candle and immediate price response.
The trend-bias engine optionally restricts direction.
The trade engine standardizes the visual risk framework.
The dashboard explains the current engine state.
This makes the script a coordinated momentum-analysis workflow rather than a basic crossover marker.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through connected calculation stages.
First, it calculates every supported moving-average type on every candle.
The selected average type is then used for the fast MACD average, slow MACD average, and signal average.
The MACD line is the difference between the selected fast and slow averages.
The histogram is the difference between the MACD line and the signal line.
fastAverage = f_selectMa(macdMaType, fastEma, fastSma, fastRma, fastWma)
slowAverage = f_selectMa(macdMaType, slowEma, slowSma, slowRma, slowWma)
macdLine = fastAverage - slowAverage
signalLine = f_selectMa(signalMaType, signalEma, signalSma, signalRma, signalWma)
histogram = macdLine - signalLine
The histogram visual multiplier changes only the displayed column length.
It does not change:
• the MACD line
• the signal line
• the histogram used by calculations
• quality scores
• setup detection
• trade results
After the MACD core is calculated, the engine measures:
• absolute histogram strength
• one-bar histogram expansion
• MACD slope
• momentum acceleration
• adaptive baselines for each measurement
The setup engine then checks the enabled event types.
The quality, trend, regime, qualification, and additional-filter stages determine whether the setup is eligible.
A final permanent signal is accepted only after the candle closes and every enabled condition remains valid.
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🟢 BULLISH MACD MOMENTUM LOGIC
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A bullish setup begins with one of four enabled event types.
Bullish Reversal
A bullish MACD crossover occurs while the MACD line remains below zero.
This represents a momentum turn from the negative side of the zero line.
Bullish Continuation
A bullish MACD crossover occurs while the MACD line is at or above zero.
This represents renewed bullish alignment on the positive side.
Bullish Zero-Line Reclaim
The MACD line crosses above zero while:
• MACD is above the signal line
• the histogram is positive
• the bar is confirmed
Bullish Momentum Expansion
The histogram resumes positive expansion after a short contraction while:
• MACD remains above the signal line
• MACD slope is positive
• no new crossover is being used on the same bar
• no new zero-line cross is being used on the same bar
The event must then pass the active momentum-quality requirement.
When enabled, it must also pass:
• chart EMA bias
• confirmed higher-timeframe EMA bias
• EMA slope confirmation
• ATR distance from the trend EMA
• anti-chop regime requirement
• entry qualification
• bullish candle direction
• minimum MACD separation
• momentum persistence
• zero-line direction
• absolute histogram strength
• cooldown
• active-trade availability
The final signal uses confirmed-bar logic.
bullishSignal =
barstate.isconfirmed and
bullishEntryCandidate and
bullishZeroLinePass and
absoluteStrengthPass and
bullishQualityPass and
bullishTrendPass and
antiChopPass and
bullishQualificationPass and
bullishCandlePass and
separationPass and
bullishPersistencePass and
cooldownPass and
tradeSlotAvailable
When every active rule passes, the script can display:
• a neon green dot on the MACD line
• a LONG label on the main chart
• setup type, grade, and score information
• a visual Entry, SL, TP1, TP2, and TP3 model
This confirms that the configured bullish momentum conditions were valid at candle close.
It does not mean price must continue upward.
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🔴 BEARISH MACD MOMENTUM LOGIC
━━━━━━━━━━━━━━━━━━━━━━
A bearish setup mirrors the bullish process.
Bearish Reversal
A bearish MACD crossover occurs while the MACD line remains above zero.
This represents a momentum turn from the positive side of the zero line.
Bearish Continuation
A bearish MACD crossover occurs while the MACD line is at or below zero.
This represents renewed bearish alignment on the negative side.
Bearish Zero-Line Reclaim
The MACD line crosses below zero while:
• MACD is below the signal line
• the histogram is negative
• the bar is confirmed
Bearish Momentum Expansion
The histogram resumes negative expansion after a short contraction while:
• MACD remains below the signal line
• MACD slope is negative
• no new bearish crossover is being used on the same bar
• no new bearish zero-line cross is being used on the same bar
The setup must then pass the same quality, trend, regime, candle, separation, persistence, strength, cooldown, and trade-slot controls.
A permanent SHORT signal appears only when all active conditions remain valid at candle close.
The script can then display:
• a neon red dot on the MACD line
• a SHORT label on the main chart
• setup type, grade, and score information
• Entry, SL, TP1, TP2, and TP3 references
This confirms that the configured bearish momentum conditions were valid at candle close.
It does not guarantee continued downside movement.
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💎 MACD MOMENTUM QUALITY FILTER SYSTEM
━━━━━━━━━━━━━━━━━━━━━━
The script includes a separate bullish and bearish Momentum Quality Score.
The quality layer evaluates five components.
Alignment — maximum 20 points
Bullish alignment requires:
• MACD above the signal line
• positive histogram
Bearish alignment requires:
• MACD below the signal line
• negative histogram
Histogram Strength — maximum 25 points
The absolute histogram value is compared with an adaptive EMA baseline.
This measures whether current separation is meaningful relative to recent MACD behavior.
Histogram Expansion — maximum 20 points
The engine measures the one-bar change in absolute histogram strength.
Points are awarded only when the histogram is expanding in the setup direction.
MACD Slope — maximum 20 points
Bullish setups require positive slope for this component.
Bearish setups require negative slope.
The slope magnitude is compared with its own adaptive baseline.
Momentum Acceleration — maximum 15 points
Acceleration measures the change in MACD slope.
Positive acceleration supports bullish scoring.
Negative acceleration supports bearish scoring.
bullishQualityScore = f_clamp(
bullishAlignmentScore +
bullishHistogramStrengthScore +
bullishExpansionScore +
bullishSlopeScore +
bullishAccelerationScore,
0.0,
100.0
The available quality modes are:
Off
Removes the minimum Momentum Quality Score restriction.
Loose
Requires a minimum score of 45.
Balanced
Requires a minimum score of 60.
Strict
Requires a minimum score of 75 and is the default.
The score is not a win rate.
It is not a probability.
It measures how closely the current MACD event matches the engine’s momentum-strength framework.
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📏 VOLATILITY / ATR NORMALIZATION FILTER
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The indicator uses ATR normalization to compare certain values across changing volatility conditions.
The Absolute Strength Filter calculates:
Absolute Histogram Strength = |Histogram| / ATR × 100.
This value is used as an additional minimum-strength condition.
The default settings are:
• Normalization ATR Length: 14
• Minimum Absolute Strength: 1.0
• Use Absolute Strength Filter: enabled
ATR normalization helps reduce dependence on the raw numerical scale of a market.
For example, a raw MACD histogram value cannot be compared directly across instruments with very different prices and volatility.
Normalization places the histogram in relation to the instrument’s recent ATR.
The same ATR framework is also used by:
• optional price-to-EMA trend buffers
• EMA-separation regime measurement
• price-impulse scoring
• ATR-based trade management
ATR normalization does not make one configuration universal.
Symbols, sessions, exchanges, and data feeds can still behave differently.
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🕯️ DISPLACEMENT QUALITY FILTER
━━━━━━━━━━━━━━━━━━━━━━
The entry-qualification engine evaluates whether the signal candle shows enough directional response.
The Candle component contributes up to 25 points.
It is divided into:
Directional Body — maximum 12.5 points
For bullish setups, the engine measures the positive candle body relative to the full candle range.
For bearish setups, it measures the negative body.
Close Location — maximum 12.5 points
Bullish setups receive more points when the close is nearer the candle high.
Bearish setups receive more points when the close is nearer the candle low.
Price Impulse contributes up to 15 additional points.
The engine compares the one-bar directional price movement with ATR.
A bullish price impulse measures positive close-to-close displacement.
A bearish price impulse measures negative close-to-close displacement.
This layer does not predict the next candle.
It measures whether the completed signal candle supports the direction of the MACD event.
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📊 REACTION STRENGTH FILTER
━━━━━━━━━━━━━━━━━━━━━━
The engine includes a separate Entry Qualification Score.
Its components are:
Candle Quality — maximum 25 points
Combines directional body and close location.
MACD Separation — maximum 25 points
Measures current histogram separation relative to its adaptive baseline.
Momentum Persistence — maximum 20 points
Measures how long directional MACD and histogram alignment has remained active.
Price Impulse — maximum 15 points
Measures directional close-to-close movement relative to ATR.
Trigger Context — maximum 15 points
Confirms that an eligible setup event is currently active.
The total is limited to 0–100.
Available modes are:
Off
Removes the minimum Entry Qualification Score restriction.
Loose
Requires a minimum score of 45.
Balanced
Requires a minimum score of 60.
Strict
Requires a minimum score of 75 and is the default.
The final signal also uses internal candle-direction, separation, and persistence requirements.
These internal parameters remain active in the background to keep the public settings menu cleaner.
The Entry Qualification Score is not a verified accuracy figure.
It describes the quality of the completed entry context according to the script’s rules.
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🧼 CONFIRMED SIGNAL FILTER
━━━━━━━━━━━━━━━━━━━━━━
Permanent LONG and SHORT signals wait for candle close.
The engine uses confirmed-bar checks on:
• MACD crossovers
• zero-line crossings
• expansion triggers
• momentum confirmation
• final LONG and SHORT conditions
The higher-timeframe trend layer also uses previous completed higher-timeframe values.
htfConfirmedClose = request.security(
syminfo.tickerid,
higherTimeframe,
close ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
htfConfirmedEma = request.security(
syminfo.tickerid,
higherTimeframe,
ta.ema(close, trendLength) ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
This approach prevents an unfinished higher-timeframe candle from becoming the permanent trend reference.
Entry Timing provides two workflows.
Early Trigger
Uses the confirmed setup event directly.
Momentum Confirmed
Arms the setup and waits for a later confirmed candle with:
• continued MACD alignment
• directional histogram
• renewed histogram expansion
• directional MACD slope
The confirmation opportunity is temporary.
If renewed momentum does not appear inside the internal window, the armed setup expires.
The script does not plot final signals into earlier candles.
Historical results can still change when:
• settings change
• symbol data changes
• timeframe changes
• the data provider revises history
• the available chart-history range changes
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🎯 ENTRY MODEL
━━━━━━━━━━━━━━━━━━━━━━
When a final LONG or SHORT setup passes every enabled condition, the trade engine can create a visual trade model.
The Entry reference is the close of the confirmed signal candle.
For a LONG model:
• Stop is below Entry
• TP1 is above Entry
• TP2 is above TP1
• TP3 is above TP2
For a SHORT model:
• Stop is above Entry
• TP1 is below Entry
• TP2 is below TP1
• TP3 is below TP2
tradeEntryPrice := close
tradeStopPrice := tradeEntryPrice - selectedStopDistance
tradeTp1Price := tradeEntryPrice + selectedTp1Distance
tradeTp2Price := tradeEntryPrice + selectedTp2Distance
tradeTp3Price := tradeEntryPrice + selectedTp3Distance
The model begins checking TP and SL from the following candle.
This prevents the signal candle’s earlier high or low from being treated as though it occurred after the close-based entry.
The engine stores:
• direction
• entry bar
• entry price
• stop price
• TP1 price
• TP2 price
• TP3 price
• initial risk
• target R values
• TP1 and TP2 progress
• setup type
• setup grade
• risk model
• original signal label
The displayed model is an educational chart reference.
It is not a broker order.
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🛑 ATR STOP-LOSS MODEL
━━━━━━━━━━━━━━━━━━━━━━
The indicator includes two risk models.
ATR Based
Stop distance is calculated as:
ATR × ATR Stop Multiplier.
The default settings are:
• ATR Length: 14
• ATR Stop Multiplier: 1.50
• TP1: 0.50R
• TP2: 1.00R
• TP3: 1.50R
The minimum distance is protected by the symbol’s minimum tick.
XAUUSD Fixed Pips
Stop and target distances use:
Selected Pips × XAUUSD Pip Size.
The default settings are:
• Pip Size: 0.01
• Stop Loss: 1000 pips
• TP1: 500 pips
• TP2: 1000 pips
• TP3: 1500 pips
Under the common 0.01 convention, those values correspond to:
• Stop distance: 10.00 price units
• TP1 distance: 5.00 price units
• TP2 distance: 10.00 price units
• TP3 distance: 15.00 price units
Broker conventions can differ.
Users should verify their symbol specification before relying on fixed-pip distances.
The XAUUSD protection system checks the symbol.
The dashboard shows:
• ✅ XAUUSD VERIFIED when XAUUSD Fixed Pips is used on a recognized XAUUSD symbol
• ⚠️ CHECK SYMBOL when the mode is used on another symbol
• 🛡️ ATR MODE when ATR Based is selected
The warning does not block calculations.
It tells the user to verify pip size and target distances.
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🎯 TAKE-PROFIT RR MODEL
━━━━━━━━━━━━━━━━━━━━━━
The visual model contains three take-profit levels.
ATR Based mode calculates targets from the initial stop distance:
TP1 Distance = Initial Risk × TP1 RR.
TP2 Distance = Initial Risk × TP2 RR.
TP3 Distance = Initial Risk × TP3 RR.
XAUUSD Fixed Pips mode uses independent fixed target distances.
The script enforces the following order:
TP1 < TP2 < TP3.
If a selected value would violate that order, the next target is moved at least one minimum tick beyond the prior target.
The trade model internally treats the position as three equal portions.
Each target represents one-third of the model.
If Stop is reached after TP1 or TP2, the script calculates an internal net-R result from:
• the portions already modeled as closed at reached targets
• the remaining portion or portions modeled at Stop
This internal calculation supports Data Window counters.
It is not broker-verified performance.
It does not account for:
• spread
• commission
• slippage
• latency
• partial-fill differences
• financing
• order rejection
• execution venue behavior
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📦 ACTIVE TP / SL BOX SYSTEM
━━━━━━━━━━━━━━━━━━━━━━
When a confirmed trade model opens, the script can draw on the main chart:
• Entry line
• TP1 line
• TP2 line
• TP3 line
• Stop Loss line
• TP1 reward box
• TP2 reward box
• TP3 reward box
• SL risk box
• LONG or SHORT label
The Entry line is white.
The TP lines are green and initially dashed.
The SL line is red and solid.
The SL box uses a solid border.
When a target is reached:
• the corresponding box becomes more visible
• the corresponding target line becomes solid
• the target line becomes thicker
• the dynamic target alert can fire
When TP3 is reached:
• the complete model closes
• the original LONG or SHORT label remains
• a separate electric-purple TP3 FULL TARGET label appears
• the trade model can remain historically visible
When the model closes at Stop before TP3:
• all active boxes are deleted
• all active trade lines are deleted
• the original LONG or SHORT label is converted into the final result
• the final result becomes SL, CLOSED TP1, or CLOSED TP2
Only TP3 outcomes can retain completed historical boxes and lines.
This is a chart-cleanliness decision.
It does not imply that other outcomes did not occur.
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🚦 ONE ACTIVE TRADE AT A TIME
━━━━━━━━━━━━━━━━━━━━━━
The script uses one-active-trade-at-a-time visual management.
When the trade engine is enabled:
• a new trade model cannot open while another model is active
• a new trade cannot open on the same candle that closed the previous model
• the internal setup engine continues calculating
• permanent signals are restricted by trade-slot availability
This prevents overlapping Entry, TP, and SL structures.
It also keeps the trade lifecycle easier to interpret.
When the trade engine is disabled, qualified signals can still be evaluated without opening a visual trade model.
The one-active-model rule is a visual and analytical design choice.
It does not restrict the user’s personal trading activity.
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⚠️ SAME-CANDLE TP / SL HANDLING
━━━━━━━━━━━━━━━━━━━━━━
Trade monitoring begins after the entry candle.
If a later historical candle touches both Stop and one or more targets, standard OHLC data does not reveal the exact intrabar sequence.
The indicator therefore provides two assumptions.
Stop First
If Stop and a target are both touched on the same candle, Stop is processed first.
This is the default and more conservative assumption.
Targets First
Reached targets are processed before Stop.
If TP3 is reached, the model closes at TP3.
Otherwise, remaining portions can close at Stop.
Neither mode reconstructs tick-level execution.
The indicator does not know:
• whether the high occurred before the low
• the bid/ask path
• actual fill sequence
• spread at the time
• slippage
• queue priority
• partial fills
The selected same-bar rule is a modeling assumption required by the limits of OHLC candles.
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🏷️ MACD MOMENTUM LABELS
━━━━━━━━━━━━━━━━━━━━━━
The indicator uses separate entry and result labels.
Entry labels display:
🚀 LONG
or:
🔴 SHORT
Entry Label Content provides:
Direction Only
Displays only LONG or SHORT.
Grade
Displays direction and setup grade.
Score + Grade
Displays direction, grade, and rounded composite score.
The default is Score + Grade.
LONG and SHORT label sizes can be adjusted independently.
Both default to Small.
The label tooltip contains:
• setup direction
• setup type
• setup grade
• composite score
• Momentum Quality Score
• Entry Qualification Score
• Market Regime Score
• trend-bias state
Result labels include:
🛑 SL
⚠️ CLOSED TP1
✅ CLOSED TP2
🏆 TP3 HIT
✅ FULL TARGET
SL, Closed TP1, and Closed TP2 transform the original entry label.
TP3 creates a separate result label and preserves the original entry label.
All chart-label text uses bold and italic formatting.
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📍 MACD DISPLAY MODES
━━━━━━━━━━━━━━━━━━━━━━
The indicator operates in a separate MACD pane while selected trade visuals, entry labels, and the dashboard are forced onto the main price chart.
The MACD pane can display:
MACD Line
A white line representing the difference between the selected fast and slow averages.
Signal Line
A red line representing the selected signal smoothing.
Histogram
Color changes communicate momentum condition:
• stronger green for bullish expansion
• softer green for bullish contraction
• stronger red for bearish expansion
• softer red for bearish contraction
Histogram Visual Length
The default multiplier is 1.60.
This changes visual column length only.
It does not affect calculations.
Neon Signal Dots
Qualified LONG setups produce a neon green glow and center dot on the MACD line.
Qualified SHORT setups produce a neon red glow and center dot.
Momentum Background
The pane background changes according to strong or weak bullish and bearish momentum states.
Anti-Chop Background
A neutral gray background can identify conditions blocked by the Anti-Chop Engine.
Each major visual element can be shown or hidden independently.
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🧹 SETUP INVALIDATION
━━━━━━━━━━━━━━━━━━━━━━
Not every raw MACD event remains eligible.
A setup can be rejected or expire because:
• its momentum score is below the selected threshold
• trend bias does not permit the direction
• the market regime is below the active Anti-Chop threshold
• the Entry Qualification Score is insufficient
• candle direction does not support the setup
• MACD separation is insufficient
• directional persistence is insufficient
• the zero-line filter blocks the direction
• normalized histogram strength is too low
• the signal cooldown is active
• another visual trade is active
• a trade closed on the current candle
• Momentum Confirmed mode does not receive renewed expansion in time
• an opposite raw setup replaces the armed direction
The internal cooldown is eight bars.
Momentum Confirmed mode uses a temporary internal confirmation window.
These background controls are intentionally not exposed as advanced public inputs.
They remain part of the engine’s consistency rules.
A rejected event is not displayed as a permanent entry signal.
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📟 DASHBOARD
━━━━━━━━━━━━━━━━━━━━━━
The indicator includes a compact dashboard in the bottom-right corner of the main price chart.
The dashboard displays:
Momentum
Possible states include:
• STRONG LONG
• LONG
• STRONG SHORT
• SHORT
• NEUTRAL
Trend
Possible states include:
• BULLISH
• BEARISH
• NEUTRAL
• OFF
Regime
Possible states include:
• TRENDING
• DEVELOPING
• CHOP
• OFF
Trade
Possible states include:
• WAITING
• LONG ACTIVE
• LONG TP1 REACHED
• LONG TP2 REACHED
• SHORT ACTIVE
• SHORT TP1 REACHED
• SHORT TP2 REACHED
Last
Displays the most recent closed model result:
• SL
• CLOSED TP1
• CLOSED TP2
• TP3
Protection
Displays:
• ATR MODE
• XAUUSD VERIFIED
• CHECK SYMBOL
The dashboard is not PulseWire Strategy Tester.
It does not display audited brokerage results.
Its states are based on the indicator’s own rule-based calculations.
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🚨 ALERT SYSTEM
━━━━━━━━━━━━━━━━━━━━━━
MACD Momentum Entry Engine includes static PulseWire alert conditions for:
• MACD Momentum LONG
• MACD Momentum SHORT
• TP1
• TP2
• TP3
• Stop Loss
• XAUUSD Mode Warning
The XAUUSD warning condition is limited to a qualified entry bar when Fixed Pips mode is active on a non-XAUUSD symbol.
The script also includes detailed dynamic alert() messages.
Dynamic Entry messages can include:
• direction
• symbol
• timeframe
• setup type
• setup grade
• composite score
• risk model
• Entry
• Stop Loss
• TP1
• TP2
• TP3
• XAUUSD mismatch warning when relevant
Dynamic target messages can include:
• target name
• direction
• symbol
• timeframe
• reached target price
• Entry
• Stop Loss
• TP1
• TP2
• TP3
Dynamic stop messages can include:
• final result
• direction
• symbol
• timeframe
• Entry
• exit price
• Stop Loss
• whether TP1 or TP2 was reached first
Alerts are monitoring tools.
They do not place or manage broker orders.
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🔔 HOW TO USE ALERTS
━━━━━━━━━━━━━━━━━━━━━━
For static conditions:
1. Add MACD Momentum Entry Engine to the chart.
2. Open PulseWire’s Create Alert window.
3. Select the indicator as the condition.
4. Choose LONG, SHORT, TP1, TP2, TP3, SL, or XAUUSD Mode Warning.
5. Select a frequency appropriate for confirmed-candle monitoring.
6. Test the alert before relying on it.
For detailed dynamic messages:
1. Enable Detailed Dynamic Alerts in the indicator settings.
2. Open PulseWire’s Create Alert window.
3. Select MACD Momentum Entry Engine .
4. Select Any alert() function call.
5. Configure the delivery method.
6. Test the complete message format.
Alert delivery can depend on:
• PulseWire servers
• the selected symbol
• the selected timeframe
• market-data availability
• realtime feed status
• user alert configuration
• webhook or external-service availability
Creating an alert does not guarantee broker execution.
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🧪 HOW TO USE THE INDICATOR
━━━━━━━━━━━━━━━━━━━━━━
A practical workflow:
1. Add MACD Momentum Entry Engine to a standard candlestick chart.
2. Begin with the default MACD values of 12, 26, and 9.
3. Keep Entry Timing on Early Trigger while learning the setup types.
4. Keep Momentum Quality on Strict for the default selective profile.
5. Keep Anti-Chop on Strict.
6. Keep Entry Qualification on Strict.
7. Observe whether the event is Reversal, Continuation, Zero Reclaim, or Expansion.
8. Review the MACD histogram, line relationship, and neon signal dot.
9. Review the main-chart LONG or SHORT label.
10. Open the label tooltip to inspect the scores and setup type.
11. Review Momentum, Trend, Regime, Trade, Last Result, and Protection in the dashboard.
12. Verify the selected risk model.
13. When using XAUUSD Fixed Pips, confirm XAUUSD VERIFIED.
14. Treat Entry, SL, TP1, TP2, and TP3 as planning references.
15. Use alerts for monitoring rather than blind execution.
16. Compare every setup with personal structure, session, volatility, and risk rules.
17. Test the exact symbol, timeframe, session, and data feed personally used.
The indicator is designed for structured review.
It should not be treated as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
━━━━━━━━━━━━━━━━━━━━━━
⚙️ MACD Core
Calculation Source
Selects the price source used by the MACD calculation.
Fast Length
Controls the fast average.
Default: 12.
Slow Length
Controls the slow average.
Default: 26.
Signal Length
Controls signal-line smoothing.
Default: 9.
MACD Average Type
Selects EMA, SMA, RMA, or WMA for the fast and slow averages.
Signal Average Type
Selects EMA, SMA, RMA, or WMA for the signal line.
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🎯 Entry Engine
Entry Timing
Early Trigger accepts the confirmed setup event directly.
Momentum Confirmed waits for renewed directional histogram expansion and MACD continuation after the setup is armed.
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🧠 Momentum Quality Engine
Quality Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The score combines:
• alignment
• histogram strength
• histogram expansion
• MACD slope
• momentum acceleration
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📈 Trend Bias Engine
Trend Bias Mode
Selects:
• Off
• Chart EMA
• Higher Timeframe EMA
• Combined EMA
Off is the default.
Trend EMA Length
Controls the chart and higher-timeframe EMA.
Default: 200.
Chart EMA Slope Lookback
Controls the chart-bar lookback used to evaluate EMA direction.
Require EMA Slope Confirmation
Requires a rising EMA for LONG and falling EMA for SHORT.
Higher Timeframe
Selects the confirmed higher-timeframe context.
Default: 60 minutes.
Price-to-EMA ATR Buffer
Requires an optional minimum ATR-normalized distance between price and the trend EMA.
Zero disables the distance requirement.
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🧱 Anti-Chop Engine
Anti-Chop Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The regime score combines:
• ADX — 35 points
• price efficiency — 30 points
• EMA separation — 20 points
• volatility expansion — 15 points
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✅ Entry Qualification Engine
Enable Reversal Setups
Allows MACD crossovers on the opposite side of zero.
Enable Continuation Setups
Allows MACD crossovers on the directional side of zero.
Enable Zero-Line Reclaims
Allows confirmed MACD zero-line crossings with aligned histogram and signal-line conditions.
Enable Momentum Expansions
Allows renewed histogram expansion after contraction while MACD alignment remains valid.
Entry Qualification Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The score combines:
• candle quality
• MACD separation
• persistence
• price impulse
• trigger context
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💼 Trade Management Engine
Enable Trade Engine
Enables the one-active-trade-at-a-time visual model.
Risk Model
Selects ATR Based or XAUUSD Fixed Pips.
XAUUSD Fixed Pips is the default.
ATR Length
Controls ATR for the adaptive model.
ATR Stop Multiplier
Controls stop distance in ATR mode.
ATR TP1 Risk/Reward
Controls TP1 distance in ATR mode.
ATR TP2 Risk/Reward
Controls TP2 distance in ATR mode.
ATR TP3 Risk/Reward
Controls TP3 distance in ATR mode.
XAUUSD Pip Size
Controls the price-unit value of one selected pip.
XAUUSD Stop-Loss Pips
Controls fixed Stop distance.
XAUUSD TP1 Pips
Controls fixed TP1 distance.
XAUUSD TP2 Pips
Controls fixed TP2 distance.
XAUUSD TP3 Pips
Controls fixed TP3 distance.
Same-Bar Resolution
Selects Stop First or Targets First.
Show Active TP / SL Zones
Shows Entry, targets, Stop, boxes, and lines on the main chart.
Keep Historical TP3 Zones
Preserves completed TP3 models.
Historical TP3 Trade Limit
Limits completed TP3 models retained on the chart.
Trade Result Labels
Enables SL, Closed TP1, Closed TP2, and TP3 result labels.
SL Label Size
Controls SL result size.
Closed TP1 Label Size
Controls Closed TP1 result size.
Closed TP2 Label Size
Controls Closed TP2 result size.
TP3 Label Size
Controls the separate FULL TARGET label size.
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🛡️ Signal Filters
Zero-Line Filter
Off allows both sides of zero.
Trend Direction requires LONG above zero and SHORT below zero.
Trend Direction is the default.
Use Absolute Strength Filter
Enables ATR-normalized minimum histogram strength.
Normalization ATR Length
Controls normalization.
Minimum Absolute Strength
Controls the required normalized histogram value.
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🎨 Visual Settings
Show MACD Line
Shows or hides the MACD line.
Show Signal Line
Shows or hides the signal line.
Show Histogram
Shows or hides histogram columns.
Histogram Visual Length
Changes histogram display scale without changing calculations.
Show MACD Neon Signal Dots
Shows qualified LONG and SHORT dots on the MACD line.
Show Momentum Background
Shows directional momentum background states.
Highlight Blocked Chop Conditions
Shows a neutral background when Anti-Chop blocks entries.
Show LONG / SHORT Labels
Shows or hides main-chart entry labels.
Entry Label Content
Selects Direction Only, Grade, or Score + Grade.
LONG Label Size
Controls LONG label size.
SHORT Label Size
Controls SHORT label size.
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📟 Mini Dashboard
Show Mini Dashboard
Shows or hides the compact bottom-right main-chart dashboard.
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🔔 Dynamic Alerts
Enable Detailed Dynamic Alerts
Enables runtime alert() messages.
For these messages, create the PulseWire alert using:
Any alert() function call.
Input values are hidden from the status line.
MACD plot values are also prevented from creating status-line or price-scale labels, while diagnostic values remain available in the Data Window.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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MACD, moving averages, ATR, ADX, and trend filters are familiar technical-analysis concepts.
These concepts are not unique by themselves.
The originality of MACD Momentum Entry Engine lies in the coordinated process applied to a MACD event:
Configurable MACD event
→ setup-type classification
→ adaptive momentum-strength baselines
→ five-component Momentum Quality Score
→ optional confirmed trend-bias layer
→ four-component Anti-Chop Regime Score
→ five-component Entry Qualification Score
→ final composite score and grade
→ zero-line and normalized-strength validation
→ confirmed-close signal
→ one-active multi-target trade lifecycle
→ TP3-only historical preservation
→ non-TP3 visual cleanup
→ dynamic alerts
→ main-chart diagnostic dashboard
→ XAUUSD mode verification
Distinctive implementation features include:
• four separate setup families
• different logic for Reversal and Continuation crossovers
• zero-line reclaim detection
• renewed expansion detection without requiring a fresh crossover
• adaptive baselines for strength, expansion, slope, and acceleration
• separate bullish and bearish scoring
• a Momentum Quality Score independent from Entry Qualification
• an Anti-Chop Score independent from momentum quality
• confirmed previous higher-timeframe EMA values
• a 70/30 final composite structure
• A+, A, B, and C grades
• visual-only histogram scaling
• equal-third multi-target internal accounting
• same-candle processing assumptions
• XAUUSD symbol verification
• separate result behavior for TP3 and non-TP3 outcomes
• detailed Data Window diagnostics
The script is not a simple combination of unrelated indicators.
Every module supports the same objective: determining whether a confirmed MACD event has enough momentum, market, and entry context to become a permanent visual setup.
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⚠️ IMPORTANT PRACTICAL NOTES
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Signal frequency depends on:
• fast, slow, and signal lengths
• selected average types
• Entry Timing
• enabled setup families
• Momentum Quality mode
• Trend Bias mode
• EMA length
• higher timeframe
• EMA slope requirement
• price-to-EMA buffer
• Anti-Chop mode
• Entry Qualification mode
• zero-line filter
• absolute-strength threshold
• symbol
• timeframe
• session
• volatility
• available history
• data provider
• active-trade state
Strict modes reduce accepted signals.
They do not guarantee better results.
Trend Bias Off allows the momentum engine to evaluate both directions without EMA permission.
Higher Timeframe EMA and Combined EMA should use a timeframe meaningfully above the chart timeframe.
XAUUSD Fixed Pips is designed around a selectable pip convention.
The default 0.01 value may not match every broker or synthetic symbol.
Momentum Confirmed produces later and potentially fewer signals than Early Trigger.
Histogram Visual Length does not alter logic.
Changing settings recalculates historical signals and trade models.
A setup that looks different after changing the chart range may be affected by available historical data and adaptive baselines.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not execute orders.
It does not place broker stops or targets.
It does not include spread.
It does not include commission.
It does not include slippage.
It does not include latency.
It does not model partial fills.
It does not model financing or swap.
It uses bar-based OHLC data.
Historical candles do not reveal exact intrabar order.
Stop First and Targets First are assumptions.
The setup score is not a win probability.
A+ is not a guaranteed outcome.
The Anti-Chop Score cannot identify every ranging condition.
Trend filters can delay or block valid reversals.
Trend Bias Off can allow countertrend signals.
ATR normalization does not make settings universal.
Fixed-pip conventions can differ between brokers.
XAUUSD symbol detection cannot verify a broker’s contract specification.
The dashboard is not PulseWire Strategy Tester.
Data Window counters are not audited account performance.
The internal R model assumes three equal portions.
The internal model does not represent real position sizing.
One-active-trade logic is a visual-management rule.
Alert delivery depends on PulseWire and user configuration.
Changing settings changes historical calculations.
Changing symbol, exchange, session, timeframe, or feed can change signals.
Adaptive baselines depend on available chart history.
Confirmed higher-timeframe values reduce unfinished-HTF changes but introduce delay.
Permanent signals wait for candle close and therefore do not capture the earliest intrabar moment.
For these reasons, the indicator should be used as an educational decision-support tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• already understand basic MACD behavior
• want more context than a raw crossover
• study momentum expansion and contraction
• distinguish reversal, continuation, zero-line, and expansion events
• want transparent setup scoring
• want an anti-chop layer
• want optional chart and higher-timeframe trend context
• prefer confirmed-close signals
• want Entry, SL, and three target references
• use XAUUSD and want configurable fixed-pip distances
• want symbol-mismatch warnings
• want a compact dashboard
• want detailed alerts
• want diagnostic Data Window values
• prefer one active visual model at a time
It may be less suitable for users who:
• want guaranteed signals
• want a fully automated trading bot
• want every MACD crossover displayed
• expect a score to equal probability
• expect one setting to work on every market
• require exact tick-level execution
• want Strategy Tester results from an indicator
• want the indicator to replace personal judgment
• expect alerts to execute broker orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For the default selective profile:
• use standard candlesticks
• begin with MACD 12 / 26 / 9
• keep Entry Timing on Early Trigger
• keep Momentum Quality on Strict
• keep Anti-Chop on Strict
• keep Entry Qualification on Strict
• keep the Zero-Line Filter on Trend Direction
• keep Absolute Strength enabled
• keep all four setup families enabled while learning
• use the dashboard to identify blocked regime conditions
• verify the selected risk model before reviewing trade levels
• use Stop First for conservative historical same-bar handling
• confirm XAUUSD VERIFIED when using Fixed Pips
• use alerts for monitoring rather than blind execution
For additional frequency:
• change Momentum Quality from Strict to Balanced
• change Anti-Chop from Strict to Balanced
• change Entry Qualification from Strict to Balanced
• disable the Zero-Line Filter
• disable Absolute Strength
• keep Trend Bias Off
• use Early Trigger
For additional directional restriction:
• use Chart EMA, Higher Timeframe EMA, or Combined EMA
• enable EMA slope confirmation
• add a Price-to-EMA ATR Buffer
• use a higher timeframe above the chart timeframe
• use Momentum Confirmed instead of Early Trigger
Always:
• wait for the setup candle to close
• review the setup type
• review the score components
• verify market structure independently
• review session and volatility
• verify the stop distance
• use personal position sizing
• test the exact symbol and timeframe
• understand the same-bar assumption
• treat all projected levels as analytical references
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🔓 PUBLICATION NOTE
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MACD Momentum Entry Engine is published as an educational momentum-analysis and visual trade-model tool.
The purpose of this description is to explain:
• how the configurable MACD core is calculated
• how average types affect the MACD and signal lines
• how setup events are classified
• how Reversal setups work
• how Continuation setups work
• how Zero-Line Reclaim setups work
• how Momentum Expansion setups work
• how Early Trigger and Momentum Confirmed differ
• how the Momentum Quality Score is constructed
• how adaptive momentum baselines work
• how the Anti-Chop Score is constructed
• how the Entry Qualification Score is constructed
• how final composite scores and grades are assigned
• how chart and confirmed higher-timeframe trend filters work
• how zero-line and absolute-strength filters work
• when permanent signals appear
• how the one-active-trade model works
• how Entry and Stop are calculated
• how TP1, TP2, and TP3 are calculated
• how same-candle ambiguity is handled
• how historical TP3 visuals are retained
• how non-TP3 visuals are cleaned
• how result labels behave
• what the dashboard displays
• how XAUUSD protection works
• what static and dynamic alerts contain
• what diagnostic values are available
• what the timing limitations are
• what the model does not simulate
• why familiar MACD concepts are organized into an original workflow
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It should not be used as a blind LONG/SHORT system.
MAIN CHART SCREENSHOT PLAN
Use one clean standard candlestick chart.
Show the indicator with its default settings.
The screenshot should contain:
• complete symbol and timeframe information
• the indicator name
• visible standard price candles
• one clear LONG or SHORT label
• one active or completed Entry / TP / SL model
• the white Entry line
• green TP1, TP2, and TP3 levels
• the red SL area and solid SL line
• the MACD pane
• the white MACD line
• the red signal line
• the green/red histogram
• one neon MACD signal dot
• the bottom-right main-chart dashboard
• the Protection state
Do not include:
• other indicators
• manual drawings
• unrelated labels
• social-media links
• pricing information
• promotional claims
• account-profit screenshots
• win-rate claims
• non-standard candles
• hidden symbol or timeframe information
• excessive zoom
• decorative graphics unrelated to the script
The screenshot should demonstrate normal default behavior and make the relationship between the MACD event, main-chart signal, trade model, and dashboard easy to understand.
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🛡️ DISCLAIMER
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MACD Momentum Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain.
Momentum changes.
Volatility changes.
Liquidity changes.
Historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• risk management
• position sizing
• alert configuration
• trading decisions
• broker execution
• legal obligations
• tax obligations
The MACD line, signal line, histogram, momentum states, setup types, quality scores, regime scores, entry scores, composite scores, grades, trend states, LONG and SHORT labels, Entry references, Stop Loss levels, take-profit levels, boxes, result labels, Data Window values, dashboard states, internal counters, and alerts are visual analysis tools only.
The displayed Entry is not a guaranteed fill.
The displayed Stop Loss is not a broker order.
The displayed TP1, TP2, and TP3 levels are not guaranteed objectives.
The Momentum Quality Score is not a win probability.
The Entry Qualification Score is not a probability.
The Market Regime Score is not a guarantee that a market is trending.
The A+, A, B, and C grades are not promises of performance.
The internal trade model does not include spread, commissions, slippage, latency, order-book conditions, contract specifications, or partial fills.
Use this script as a structured MACD momentum-review and decision-support framework, not as a promise of profitability or a substitute for independent judgment. Indicator
Price Volatility Divergence with Reliability ScoringPrice–Volatility Divergence with Reliability Scoring
Normally, rising price comes with falling implied volatility — fear drains out of a rally. When price pushes to a new high while fear is also rising (or falls to a new low while fear falls), that disagreement is an anomaly worth flagging. This script builds a "fear" oscillator from an implied-volatility index, marks where it diverges from price, and — the original part — scores in real time whether those divergences have actually been worth trading on your symbol, and which direction is carrying the edge.
Why these components are combined (and how they work together). Three pieces form one pipeline, not three separate signals:
An implied-volatility "fear" series — chosen as raw level, term-slope (vol minus its own trend), or variance-risk-premium (implied minus realized). It's z-scored and negated so price-up/fear-up reads as an ordinary bearish divergence on the line.
Confirmed-pivot divergence between that fear series and price — regular and hidden, with an optional triple-pivot mode.
A binomial-proportion confidence test that asks, for each divergence class, whether the expected move followed more often than a same-zone baseline.
Part 2 only fires where price and fear disagree; part 3 decides whether that disagreement has historically mattered here, per direction. Remove any one and the script can't answer its question — "is this fear divergence worth trading, and which way?"
How to read it. The verdict panel translates the statistics: green = these divergences have beaten a same-spot baseline here; red = they've lost to it (skip, or try another fear measure/timeframe); amber = not established yet; grey = still gathering data. "Best signal" names the direction with the strongest measured edge so you know which side to favour. "Reward : risk" is the average best vs worst move after a signal, in ATR. Optional key-info and per-class tables (off by default) show the full breakdown.
Important — this is a proxy, not literal skew. True option skew needs the full per-strike implied-volatility surface, which charts don't expose. This uses a charted VIX / term-structure proxy, stated plainly so you know exactly what you're reading.
Universal. Needs a price source (the chart) and an implied-volatility index, both set in inputs. Defaults target NIFTY futures with India VIX; change the volatility symbol to VIX, VSTOXX, etc. for other markets.
Outputs for other scripts. Generic EXP_* values (oscillator, signal, probability, edge, edge lower-bound, sample count, regime, implied-vol level, fear percentile) are published to the Data Window for use via input.source().
Concept credits. Implied-volatility index construction — CBOE methodology. Variance-risk-premium — academic options literature. Binomial score confidence interval — E. B. Wilson. Trend-efficiency regime measure — P. Kaufman.
Disclaimer. For research and education only. Not financial advice, not a recommendation, not a guarantee of future results. All figures are in-sample and past-only. Markets carry risk — do your own research and manage your own risk. Indicator
Indicator
RX: Dual RSI Fusion 14/50 Compression Framework## RX: Dual RSI Fusion 14/50 Compression Framework
Is an advanced momentum framework designed to identify potential market exhaustion, compression phases, and high-probability reversal conditions by combining two Relative Strength Index structures into a single analytical model.
Unlike traditional RSI indicators that rely on a single momentum source, this framework integrates both a fast RSI (14-period by default) and a slow RSI (50-period by default) to provide a multi-layer view of market behavior.
### Core Concepts
• **Fast RSI (14):** Captures immediate momentum shifts, short-term exhaustion, and early divergence signals.
• **Slow RSI (50):** Represents the underlying market structure and helps identify broader momentum regimes.
• **Dynamic Compression Engine:** Measures the convergence between moving averages applied to the fast RSI, highlighting periods where momentum becomes increasingly compressed and potentially preparing for expansion.
• **Exhaustion Detection:** The indicator is specifically designed to monitor the sequence of events frequently observed near market turning points, including divergence development, momentum contraction, and structural breakout.
### Features
✔ Dual RSI architecture (Fast + Slow)
✔ Configurable moving averages applied directly to RSI values
✔ Compression detection between fast RSI moving averages
✔ Divergence memory engine with customizable validity period
✔ Momentum Delta histogram (Fast RSI - Slow RSI)
✔ Structural breakout detection from RSI compression zones
✔ Background state visualization for market context
✔ Alert conditions for potential exhaustion breakouts
### Interpretation
The framework is based on the premise that important market reversals are rarely caused by a single event. Instead, reversals often emerge from a succession of conditions:
1. Momentum divergence appears.
2. RSI structure begins to compress.
3. Market enters an exhaustion phase.
4. Fast momentum escapes the compression structure.
5. Expansion begins.
The indicator seeks to visualize this process and provide objective confirmation of potential exhaustion scenarios.
### Notes
This tool should not be interpreted as a standalone buy or sell system. It is intended to be used as a market structure and momentum exhaustion framework, ideally combined with price action, liquidity analysis, volume, or higher timeframe context.
Developed as part of the SXA analytical ecosystem by @Peter_n_n
Indicator
Indicator
Pure CVD MACD (Momentum of Delta)Overview
Traditional MACD indicators are fantastic at measuring the momentum of price, but they are entirely blind to the actual order flow driving that price. The Pure CVD MACD shifts the focus from the result (price action) to the cause (market aggression).
Instead of asking "Are there more buyers or sellers?", this indicator asks "Is the buying or selling pressure accelerating or decelerating?"
Built using Pine Script Version 6 and the new ta.requestVolumeDelta function, this script calculates a classic MACD (Moving Average Convergence Divergence) entirely on the raw Cumulative Volume Delta (CVD), completely independent of price. This provides an institutional-grade look at the momentum of order flow.
How It Works
The script calculates a continuous Cumulative Volume Delta line by scanning lower timeframe data to find the exact net difference between buying and selling volume. It then applies standard MACD logic to that CVD line:
MACD Line (Blue): The difference between a Fast EMA and Slow EMA of the volume delta.
Signal Line (Orange): An EMA of the MACD Line itself.
Histogram: The visual difference between the MACD Line and the Signal Line, color-coded to show momentum shifts.
Key Order Flow Concepts to Trade
Momentum Shifts (Zero-Line Crossovers): When the histogram crosses above the zero line (Blue crosses over Orange), the volume delta is gaining bullish momentum. Even if the macro trend is down, this shows aggressive buyers are stepping in and accelerating their pace. A cross below zero signals accelerating bearish pressure.
Exhaustion (Histogram Fades): Watch for the color fades (Teal to Dark Teal, or Red to Dark Red). If you are watching a massive sell-off and the histogram prints a "Dark Red" bar, the selling pressure is decelerating. Sellers are running out of ammunition, often signaling an impending reversal.
Hidden Divergence: Compare the Pure CVD MACD to the price chart. If the price is grinding upward to make a Higher High, but the CVD MACD is crossing bearishly below its Signal Line, the breakout is running on fumes and a trap is likely being set.
Settings Breakdown
Anchor & Lower Timeframe: Defines the starting point for the cumulative delta and the timeframe used to calculate the intra-bar buying/selling volume. By default, it automatically selects the best lower timeframe.
Fast / Slow EMA Lengths (Default 12, 26): The lookback periods used to track the short-term vs. long-term trend of the volume delta.
Signal EMA Length (Default 9): The trigger line used to spot early momentum shifts in the delta.
Best Practices
Because this indicator measures the momentum of order flow rather than absolute volume, it pairs exceptionally well with structural price analysis or liquidity zones. When price taps a major support level and the Pure CVD MACD prints a bullish divergence or a histogram fade, you have highly confluent evidence that the level will hold. Indicator
Regression-Slope Divergence with Reliability ScoringRegression-Slope Divergence with Reliability Scoring
Most divergence tools tell you a divergence exists. This one tells you whether that divergence has historically mattered on the symbol and timeframe you're actually looking at — and states the conclusion in plain words on the chart.
What it plots
A normalised momentum oscillator with stretch bands and divergence markers, plus a verdict panel that scores those divergences in real time. By default the chart stays minimal — just the oscillator and the verdict panel — with an optional key-info table and a per-direction track-record grid you can switch on in settings.
Why these components are combined, and how they work together
Three classical pieces are fused into a single pipeline — not stacked as independent signals:
Linear-regression slope of price — the direction price is genuinely trending.
RSI-based momentum, z-score normalised — the direction momentum is trending.
A binomial-proportion confidence test — whether the disagreement between the two has preceded a favourable move often enough to beat a same-zone baseline.
Components 1 and 2 only become a signal where they disagree — that disagreement is the divergence. Component 3 is the layer that makes this original: it records every past divergence on the current instrument, measures how often the expected move actually followed within a fixed look-ahead, compares that to what a random entry from the same stretched zone would have achieved, and wraps a confidence interval around the result. The parts are interdependent — remove any one and the script can no longer answer its core question, "is this divergence worth trading here?"
How to read it
The verdict panel translates the statistics into four states:
GREEN — edge confirmed: these divergences have beaten a same-spot baseline here. Worth acting on.
RED — no edge here: they've lost to a coin-flip from the same spot. Skip them, or try a higher timeframe (counter-trend divergence often fails on fast timeframes).
AMBER — unproven: edge not statistically established yet; treat as low-confidence.
GREY — learning: still collecting completed samples.
It also shows whether a signal is live right now and a reward-vs-risk figure — the average best move vs the average worst move after a signal, in ATR. Below 1:1 means signals have hurt more than they've helped. The optional grid breaks the record down into Bullish / Bearish with hit-rate, baseline, edge and reward:risk.
A divergence itself is simply price making a higher high / lower low while the momentum line does the opposite.
What's original
Off-the-shelf divergence indicators fire and leave you to guess. This one keeps a self-updating, confidence-scored track record against a same-zone baseline and tells you, in words, whether the current setup has earned your attention on this specific market.
Universal across markets
It reads only the chart's own price (the source is configurable in settings), so it runs on any symbol, any timeframe, in any market with no external data. Defaults are tuned for NIFTY futures; change the source and lengths for other instruments.
Outputs for other scripts
Generic EXP_* values — oscillator, signal, probability, edge, edge lower-bound, sample count, regime, trend strength and verdict tier — are published to the Data Window so other indicators can read them via input.source().
Concept credits
Relative-strength momentum and average true range — J. W. Wilder. Binomial score confidence interval — E. B. Wilson. Trend-efficiency regime measure — P. Kaufman. Least-squares regression — classical statistics.
Disclaimer
For research and education only. This is not financial advice, not a recommendation to buy or sell, and not a guarantee of future results. All performance shown is in-sample and past-only. Markets carry risk — do your own research and manage your own risk. Indicator
Pakistan Macro Dashboard [invincible3] Pakistan Macro Dashboard
Pakistan Macro Dashboard is a macroeconomic cycle oscillator and dashboard designed to analyze Pakistan’s equity-market environment using policy-rate, inflation, currency, liquidity, external-balance, commodity, and KSE100 trend conditions.
The core oscillator focuses on Pakistan’s monetary cycle. It uses the Pakistan policy rate, its cumulative historical mean, inflation trend, inflation level, and real-rate balance to create a macro score from 0 to 100. Higher values suggest improving liquidity and a more supportive equity backdrop, while lower values suggest restrictive conditions and elevated macro pressure.
A key feature of this indicator is the policy-rate cycle background. The background color is based on the relationship between the current Pakistan policy rate and its cumulative mean:
Red background: policy rate is above its mean and rising, indicating restrictive tightening.
Orange background: policy rate is above its mean but falling, indicating early easing or potential recovery.
Green background: policy rate is below its mean and falling, indicating liquidity expansion.
Yellow background: policy rate is below its mean but rising, indicating early tightening or late-cycle caution.
The oscillator pane also includes optional curves for the macro oscillator, policy rate, cumulative mean policy rate, and inflation rate. Users can independently enable or disable each curve, each label, the background cycle color, and the horizontal risk levels.
The dashboard is displayed on the main chart and provides a structured macro view of Pakistan’s market conditions. It includes policy and inflation readings, real rates, GDP growth, unemployment, USD/PKR, FX reserves, current account, trade balance, remittances, external debt, Brent oil, DXY, emerging-market risk, gold, KSE100 trend, RSI, and sector tilt readings.
The table is divided into two parallel panels:
Left panel: policy cycle, core macro, growth, liquidity, FX view, inflation action, sector tilt, and final PSX bias.
Right panel: external pressure, global commodity pressure, KSE100 trend, and sector read.
The scoring system uses a simple green/yellow/orange/red color structure:
Green: supportive or improving conditions.
Yellow: neutral, mixed, or transition phase.
Orange: caution or pressure building.
Red: high macro risk or unfavorable condition.
This tool is designed for top-down macro analysis of the Pakistan equity market. It can help traders and investors understand whether the broader environment is supportive, neutral, or defensive before evaluating individual stocks or sectors.
Important: This indicator is for educational and analytical use only. It is not financial advice and should not be used as a standalone buy or sell signal. Users should combine it with price action, market structure, risk management, and their own independent analysis.
Indicator
Strategy
Ultimate Smart Money & Retail Suite [USR] V9# 🚀 Ultimate Smart Money & Retail Suite V8 (USR Suite)
## 📌 Overview
The **Ultimate Smart Money & Retail Suite** is a comprehensive sentiment and volume analysis tool that combines multiple institutional-grade techniques into a single, unified oscillator. It helps traders identify:
- When **Smart Money** is accumulating or distributing.
- When **Retail traders** are trapped in FOMO or panic.
- **Volume Spread Analysis (VSA)** climaxes and stop-volumes.
- **Bullish/Bearish divergences** with strength scoring.
- **Exhaustion** and **regime shifts** (Trend, Range, Manipulation, Chop).
This is not a simple indicator—it's a complete trading suite designed for serious traders who want a 360° view of market psychology.
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## 🧠 Core Components
### 1. Smart Money Proxy (🔵)
Combines three non-correlated metrics to estimate institutional activity:
- **MFI (Money Flow Index)** – measures buying/selling pressure with volume.
- **CMF (Chaikin Money Flow)** – captures accumulation/distribution over a longer period.
- **CVD Momentum** – detects acceleration in cumulative volume delta.
These three are normalized, smoothed with a Hull Moving Average, and displayed as the **blue line**.
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### 2. Retail Sentiment Proxy (🔴)
Captures crowd behavior using:
- **RSI (14)** – identifies overbought/oversold extremes.
- **Percent Rank of Price (14)** – shows where price sits relative to recent range.
These are normalized, averaged, and smoothed to form the **red line**. When retail is >70, the crowd is chasing; when <30, they are panic-selling.
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### 3. Volume Spread Analysis (VSA)
Detects high-volume anomalies with narrow/wide spreads:
- **⚪ Stop Volume** – high volume + red close + narrow spread → potential selling exhaustion (Smart Money absorbing).
- **⚫ Buying Climax** – ultra-high volume + green close + wide spread → potential distribution (Smart Money offloading).
---
### 4. Divergence Detection with Strength Scoring
Bullish and bearish divergences are identified using **confirmed pivots** (5-bar lookback). Each divergence is scored from ⭐ to ⭐⭐⭐⭐⭐ based on:
- CVD momentum alignment.
- VSA confirmation events.
- Retail depth (deeper panic / stronger FOMO).
- Smart Money strength at the pivot.
Divergences are plotted on the oscillator panel with **triangle markers** and labeled on the chart with **🔵 Smart Buy / 🔴 Smart Sell** (with dynamic cooldowns to avoid spam).
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### 5. CVD & Delta Histogram
Displays real-time **bar delta** (buying vs selling volume) as columns on the oscillator panel:
- **Green columns** = net buying.
- **Red columns** = net selling.
- A 50-bar moving average normalizes the height for consistency.
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### 6. Fear & Greed Index (Composite)
Combines RSI, ATR, volume direction, and Stochastic into a single 0–100 metric, displayed as an orange line on the oscillator.
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### 7. Adaptive Zones
Overbought/oversold levels are **not fixed** at 80/20. Instead, they are calculated using **percentile ranks** (user-defined lookback), adapting to changing market volatility.
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### 8. Real-Time Dashboard
A compact dashboard (top-right corner) displays:
- Market Control (Smart Money vs Retail).
- Current Regime (Trend / Range / Manip / Chop).
- MTF Trend (200/800 EMA alignment).
- Exhaustion status.
- CVD Trend & Current Delta.
- Fear & Greed Index.
- RSI & MACD state.
- Last VSA event.
- Divergence Strength (stars).
- Daily Timeframe Sentiment.
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## 🔔 Signal Emojis & Cooldowns
All signals include **dynamic cooldowns** to prevent repeated alerts:
| Emoji | Signal | Description |
|-------|--------|-------------|
| 🔥 | FOMO | Breakout to new 50-bar high + RSI > 80 + 2x avg volume. |
| 🩸 | Panic | New 50-bar low + high volume + bull trend context. |
| 🐑 | Herd | 4+ green bars out of 5 + high volume + RSI > 70. |
| 🏃 | Chase | Smart Money distribution starting + Retail > 60. |
| 😴 | Bored | ADX < 14 + low volume (range-bound market). |
| 😱 | Hopeless | Smart Money accumulation + Retail < 40 + bull trend. |
| ⚡ Bull/Bear Exh | Exhaustion | Retail & Smart both at extremes + momentum reversal. |
| ⚪ Stop Vol | VSA Stop | High volume, red close, narrow spread. |
| ⚫ Buy Climax | VSA Climax | Ultra-high volume, green close, wide spread. |
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## 📊 Trade Manager Overlay
When enabled, the indicator automatically plots **Stop-Loss and Take-Profit levels** on the price chart based on:
- **ATR (14)** – for volatility-adjusted stops.
- **Risk/Reward Ratio** – user-defined (default 2:1).
Levels appear after a bullish or bearish divergence is confirmed.
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## ⚙️ Key Settings Overview
| Group | Key Inputs | Purpose |
|-------|------------|---------|
| **Core** | Normalization Lookback, Smoothing, Pivot Length | Controls sensitivity of the oscillator and divergence detection. |
| **VSA** | High/Ultra Volume Multipliers, Spread Multipliers | Fine-tunes Volume Spread Analysis sensitivity. |
| **Herd/Chase** | Green Bars, Volume Multiplier, RSI Threshold | Adjusts crowd behavior detection. |
| **Cooldowns** | Per-signal cooldown lengths | Prevents signal spam. |
| **Trade Manager** | ATR Multiplier, Risk/Reward Ratio | Controls SL/TP placement. |
All settings are fully configurable for different assets (crypto, stocks, forex).
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## 🚨 Important Notes
1. **Divergences are confirmed** — they appear after the pivot is confirmed (no repainting once plotted). The built-in cooldowns also prevent re-triggering on the same pivot.
2. **Volume is required** — MFI and CMF fall back to RSI-based calculations only if volume is entirely absent (practically never in live markets).
3. **Best used on 15m – 4H timeframes** for intraday trading, but works on any timeframe.
4. **Performance** — the script is optimized with a 500-label limit and efficient calculations. Suitable for most chart setups.
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## 📝 Recommended Workflow
1. **Identify the Regime** – Check the dashboard: is the market Trending, Ranging, or in Manipulation?
2. **Look for Divergences** – Bullish/Bearish divergences with 4–5 stars are high-probability setups.
3. **Confirm with VSA** – Stop Volume on a pullback increases confidence in bullish divergences. Buying Climax on a rally increases confidence in bearish divergences.
4. **Use the Trade Manager** – Let the indicator suggest SL/TP levels based on current volatility.
5. **Monitor the Dashboard** – Watch for shifts in Smart/Retail control and CVD direction.
---
## 📜 License
This source code is subject to the terms of the **Mozilla Public License 2.0** at mozilla.org
Feel free to use it for personal analysis. If you find it helpful, a **like** and **follow** are greatly appreciated!
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## 🙏 Credits
Built by ** ** – combining years of market psychology, volume analysis, and Pine Script development into one unified tool.
*This indicator is for educational and analytical purposes only. Always conduct your own research and manage risk appropriately.* Indicator
DAX Universe Relative Strength [JS]DAX Universe Relative Strength
This indicator compares the current stock with an equal-weighted German stock market benchmark consisting of DAX, MDAX, SDAX and TecDAX.
Instead of comparing a stock only with one single index, the script creates a broader DAX Universe benchmark by calculating the average performance of the four major German equity indices over a selected lookback period.
The goal is to identify whether a stock is showing relative strength or relative weakness versus the broader German stock universe.
How it works:
1. The script measures the performance of the current stock over the selected comparison period.
2. It measures the performance of DAX, MDAX, SDAX and TecDAX over the same period.
3. It calculates the equal-weighted average performance of these four indices.
4. It compares the stock’s performance with this benchmark.
5. The result is plotted as a relative strength line.
Interpretation:
- RS above 0:
The stock is outperforming the DAX Universe benchmark.
- RS below 0:
The stock is underperforming the DAX Universe benchmark.
- RS above its moving average:
Relative strength is improving.
- RS below its moving average:
Relative strength is weakening.
- Strong RS signal:
The stock is above the benchmark, above its RS moving average, and the RS moving average is rising.
This indicator is designed as a filter, not as a standalone buy or sell signal.
For pullback and swing trading, I use it to identify stocks that are stronger than the broader German market. A strong RS reading does not mean that a stock should be bought immediately. It only means that the stock deserves attention and may be worth adding to a watchlist.
A complete trade setup should also include:
- constructive trend structure
- price above important moving averages
- controlled pullback
- declining selling pressure
- clear pivot or trigger
- defined stop-loss
- attractive risk/reward ratio
The indicator includes:
- relative strength line
- moving average of the RS line
- zero line
- histogram
- background highlighting
- interpretation label
- alert conditions for RS changes
Suggested use cases:
- screening German stocks
- comparing DAX, MDAX, SDAX and TecDAX stocks
- identifying potential market leaders
- filtering pullback candidates
- avoiding stocks with persistent relative weakness
Important:
This script is for educational and analytical purposes only. It does not provide investment advice, buy signals or sell signals. Always combine relative strength analysis with your own chart analysis, risk management and trading plan. Indicator
Weis Wave OscillatorWeis Wave Oscillator
1. Overview
Weis Wave Oscillator is a volume-based wave analysis indicator.
Instead of reading volume bar by bar, the indicator groups volume into directional price waves. It accumulates volume during confirmed upward and downward waves, then displays the accumulated wave volume as columns in a separate pane.
The purpose of the indicator is to help users compare effort versus result by studying how much volume was involved in each directional wave.
This is an indicator, not a strategy. It does not place trades, does not execute orders, and does not produce PulseWire Strategy Tester results.
2. Core Idea
Traditional volume bars show volume for each individual candle.
Weis Wave Oscillator groups volume across an entire price wave.
This allows users to ask a different question:
How much volume was required to create this wave?
This can help users study whether a move had strong participation, weak participation, or inefficient effort.
3. Wave Direction
Wave direction is based on confirmed pivot highs and pivot lows.
When a pivot low is confirmed, the indicator starts or continues an upward wave.
When a pivot high is confirmed, the indicator starts or continues a downward wave.
Because pivots require future bars to confirm, wave changes can appear with a delay. This is expected behavior for pivot-based wave analysis.
4. Wave Volume
During each wave, the indicator accumulates the volume of each bar.
For an upward wave, the accumulated volume is displayed using the up wave color.
For a downward wave, the accumulated volume is displayed using the down wave color.
The displayed columns represent the total volume accumulated inside the current directional wave, not only the volume of a single candle.
5. Average Wave Volume
The indicator includes an optional average completed wave volume line.
This line is calculated from recently completed waves.
It helps users compare the current wave volume against the recent average wave effort.
If the current wave grows above the average, it may suggest stronger participation compared with recent waves.
6. High Effort Waves
The indicator can highlight high effort waves.
A wave is considered high effort when its accumulated volume becomes greater than the average completed wave volume multiplied by the selected high-effort factor.
The default high-effort factor is 1.50.
This means the wave must reach at least 150% of the average completed wave volume to be highlighted.
High effort does not automatically mean bullish or bearish continuation. It simply means that the wave used a larger amount of volume compared with recent completed waves.
7. Effort Versus Result
The main purpose of the indicator is to support effort-versus-result analysis.
Examples:
* A strong upward wave with high volume and clear price progress may suggest committed buying participation.
* A strong downward wave with high volume and clear downside progress may suggest committed selling pressure.
* A very large wave volume with limited price progress may suggest inefficient effort, absorption, resistance, or support.
* Comparing the volume of opposing waves can help users study whether buyers or sellers are showing stronger participation.
These observations should always be reviewed with price structure and market context.
8. Optional Effort / Result Line
The indicator includes an optional effort/result line.
This line compares completed wave volume with the absolute price result of the wave.
It is OFF by default to keep the chart clean.
When enabled, it can help users study cases where a wave uses large volume but produces limited price movement.
9. Display
The default display is designed to be clean:
* Wave volume columns are ON.
* Average completed wave volume line is ON.
* Wave volume line is OFF.
* Effort/result line is OFF.
The colors are designed to make wave states easier to separate visually:
* Normal up wave: green
* Normal down wave: red
* High effort up wave: yellow
* High effort down wave: blue
Users can change all colors from the settings.
10. How to Use
A practical workflow:
1. Add the indicator to the chart.
2. Watch how volume accumulates during each upward and downward wave.
3. Compare the current wave volume with the average completed wave volume line.
4. Look for high effort waves when the columns change to the high-effort colors.
5. Compare wave volume with price progress.
6. Review whether large effort produced strong movement or weak movement.
7. Combine the reading with support, resistance, trend direction, market structure, and volume context.
8. Avoid using wave color alone as a trade signal.
9. Suggested Use Cases
Weis Wave Oscillator can be useful for:
* Volume wave analysis
* Effort-versus-result review
* Wyckoff-style volume interpretation
* Comparing buying and selling pressure
* Studying absorption or inefficient effort
* Reviewing support and resistance reactions
* Confirming or questioning directional moves
* Identifying waves with unusually high participation
12. Important Usage Note
This indicator does not tell users when to buy or sell.
It does not predict future price movement.
It does not guarantee continuation.
It does not guarantee reversal.
It does not identify support or resistance by itself.
It only groups volume into directional waves and highlights wave effort.
Users should treat the output as an analytical layer, not as a standalone trading system.
13. Limitations
Wave direction is based on confirmed pivots, so wave changes may appear after the actual turning point.
The indicator can behave differently across timeframes.
Volume data quality can vary by market and symbol.
On markets with unreliable or synthetic volume, the interpretation may be less useful.
A high effort wave can appear before continuation, reversal, or consolidation.
Users should always review the broader chart context before making any trading decision.
14. Alerts
The script includes alert conditions for:
* New up wave
* New down wave
* High effort wave
Alerts are notifications only. They do not place orders and do not confirm broker execution.
15. Educational Disclaimer
This script is for educational and chart-analysis purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. Users are responsible for their own analysis, risk management, and trading decisions.
Indicator
CTZ BTC ULTIMATE CYCLE v3.2Here's a description ready to paste into PulseWire's "Publish Script" page:
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**CTZ BTC ULTIMATE CYCLE v3.2 — Pine Script v6**
A professional-grade Bitcoin market cycle analysis tool built around the core principles of cycle theory — identifying Daily Cycle Lows (DCL), Intermediate Cycle Lows (ICL), Yearly Cycle Lows (YCL), and 4-Year Cycle Lows (4YCL) with precision pivot detection, adaptive timing, and multi-layer confluence scoring.
**What it does**
The indicator automatically detects and labels cycle lows across four timeframes simultaneously. Each cycle is tracked from its anchor low, projected forward using a rolling average of the three most recent cycle lengths, and displayed with countdown timers, invalidation levels, and projection boxes showing the expected price zone for the next low.
A real-time dashboard (top-right) gives you an at-a-glance read on where you are inside every cycle, what to watch next, and the overall health of the current market structure.
**Key features**
- Four-cycle detection: DCL, ICL, YCL, and 4YCL with individually tunable sensitivity (Low / Medium / High)
- Confidence scoring (★☆☆☆☆ to ★★★★★) at every DCL and ICL, factoring in RSI divergence, MACD divergence, volume confirmation, cycle regularity, and right translation
- Right/Mid/Left translation detection — the single most important cycle health signal
- Cycle failure detection with bear market vs bull market context, consecutive failure streak warnings, and win streak tracking
- Near-fail warning line drawn in real time when price approaches an invalidation level
- Projection boxes using Fibonacci retracement of the prior cycle range to define the expected low zone
- Cycle sync detection — highlights bars where a projected DCL and ICL land within 4 bars of each other (high-conviction buy windows)
- MA breakout confirmation tracking after each cycle low
- Fully configurable colours, all visuals individually toggleable
- Five alert types: high-conviction DCL, cycle failure, price entering projection zone, multi-cycle sync imminent, MA breakout confirmed
**How to use it**
Apply to BTCUSD on the Daily timeframe. Medium sensitivity is the recommended starting point. Watch for right-translated cycles (the high comes after the midpoint), DCL confidence of ★★★★ or above, and RSI/MACD divergence at the low. The strongest buy setups occur when a cycle sync aligns with an overdue ICL in a bull market regime — the dashboard flags these as ★ BUY SETUP automatically.
Invalidation levels are drawn forward from the most recent confirmed low. A close below the DCL invalidation level during a bull market is a cycle failure and a warning sign. Two or more consecutive failures suggest a potential regime change to bear market.
**Settings**
- Sensitivity: controls pivot lookback — Low is smoother with fewer signals, High is more reactive
- All four cycle types can be toggled independently
- Dashboard, projection boxes, cycle lines, and the status label can each be turned off for a cleaner chart
- Colours fully customisable per cycle type
Built by CTZ / HumanPay. Part of the CTZ Pine Script suite — 10 years of cycle and smart money methodology distilled into one indicator. Indicator
