True Strength Index with Crossovers Alerts🚀 True Strength Index (TSI) with Visual Crossover Alerts
Hey everyone! I’m sharing my customized True Strength Index (TSI) indicator, which I've boosted with clear visual signals and alert conditions based on my personal, high-probability trading strategy.
The True Strength Index is a powerful, oscillation-based momentum indicator that smooths price movements twice using Exponential Moving Averages (EMAs). This double-smoothing process helps to filter out market noise, giving you a much clearer view of momentum changes than basic indicators.
🛠️ How This Script Works
This script focuses on the crucial interaction between the TSI line and its Signal Line:
TSI Line (Blue): Tracks momentum direction and strength.
Signal Line (Red): A simple EMA of the TSI line, used to determine short-term trend shifts.
Visual Buy/Sell Signals:
To make signals impossible to miss, I've added distinct visual markers:
🟢 Green Dot: A "Buy Signal" is plotted at the bottom of the indicator pane when the TSI crosses above the Signal Line (bullish crossover).
🔴 Red Dot: A "Sell Signal" is plotted at the bottom when the TSI crosses below the Signal Line (bearish crossover).
Additionally, I've included named alertconditions so you can set up real-time notifications for these exact crossovers in the TradingView Alert system.
🧠 My Trading Logic: Combining TSI with RSI
I don't use the TSI in isolation. My favorite approach is to use this TSI indicator as a timing tool, but only when it aligns with the overall momentum context defined by the Relative Strength Index (RSI).
This is the key to my strategy:
Bullish Trade Filter: I only take a BUY signal (Green Dot) when my RSI indicator is already in a bullish territory (above 50).
Bearish Trade Filter: I only take a SELL signal (Red Dot) when my RSI indicator is already in a bearish territory (below 50).
This combination ensures you are trading with the underlying momentum trend, improving the probability of success.
⚙️ My Recommended Custom Settings
For the best results with this strategy, I recommend using the following custom settings. You can enter these values in the "Inputs" tab when adding the indicator to your chart.
1. TSI (Alerts) Settings
Long Length - 60
Higher value for smoother price change data.
Short Length -30
Medium-term smoothing for clearer momentum shifts.
Signal Length - 9
Short length for a responsive signal line.
2. Companion RSI Settings (RSI+)
RSI Length - 150
A long look-back period for highly accurate trend filtering.
MA1 Length - 60
Used for additional smoothing.
MA2 Length - 150
Used for powerful trend confluence.
センタリングオシレーター
Fat Tony's Composite Momentum Histogram (v01)Fat Tony's Composite Momentum Histogram (v01)
Overview
Fat Tony's Composite Momentum Histogram (v01) is a sophisticated momentum oscillator that combines four powerful technical analysis components into a single, unified signal. Unlike traditional single-indicator approaches, this tool synthesizes Williams %R, Stochastic, MACD Histogram, and Rate of Change to provide a comprehensive view of momentum across multiple timeframes and calculation methods.
The indicator displays as a histogram that oscillates between -150 and +150, with overbought/oversold zones clearly marked at +100/-100. When momentum crosses above the oversold level with sufficient volume, a green triangle appears below the histogram signaling a potential long entry. Conversely, when momentum crosses below the overbought level, a red triangle appears above signaling a potential short entry.
What Makes This Different
Multi-Component Synthesis: Rather than relying on a single momentum calculation, this indicator averages four complementary momentum measures, each capturing different aspects of price action:
Williams %R captures overbought/oversold conditions
Stochastic tracks momentum relative to recent price range
MACD Histogram shows trend strength and potential reversals
Rate of Change measures velocity of price movement, normalized by volatility
Intelligent Volume Weighting: The indicator amplifies signals when volume confirms the move. Recent volume is compared to a 20-bar average using a logarithmic scale, preventing extreme spikes from distorting the signal while still rewarding genuine volume-backed momentum.
Adaptive Normalization: The MACD component uses a 200-bar standard deviation to adaptively scale itself, ensuring the indicator remains responsive across different market conditions and volatility regimes.
Volume Filtering: Optional minimum volume threshold (5-bar average) prevents false signals during low-liquidity periods when price moves may not be meaningful.
Key Features
Composite Signal: Combines four momentum indicators into one cohesive oscillator
Volume Confirmation: Optional volume weighting amplifies signals backed by strong participation
Trend Filter: Optional EMA-200 filter to trade only with the dominant trend
Visual Clarity: Color-coded histogram (blue for positive, orange for negative, red/green at extremes)
Automatic Alerts: Built-in alerts for entry and exit signals
Customizable Thresholds: Adjust overbought/oversold levels to match your trading style
ROC Toggle: Enable/disable the Rate of Change component based on your preference
Debug Mode: View individual component plots for fine-tuning and validation
Settings & Customization
Momentum Settings
Length (default: 14): Primary calculation period for Williams %R and Stochastic
MACD Fast (default: 12): Fast EMA period for MACD calculation
MACD Slow (default: 26): Slow EMA period for MACD calculation
MACD Signal (default: 9): Signal line period for MACD
ROC Length (default: 10): Lookback period for Rate of Change calculation
MACD StDev Length (default: 200): Period for adaptive MACD normalization
Levels
Overbought Level (default: 100): Threshold for short signals
Oversold Level (default: -100): Threshold for long signals
Volume Settings
Enable Volume Weighting (default: ON): Amplifies signals when volume confirms
Volume Sensitivity (default: 1.5): Controls strength of volume impact (0.5-3.0)
Min Avg Volume (default: 50,000): Minimum 5-bar average volume to trigger signals
Components
Include ROC Component (default: ON): Adds Rate of Change to the composite
Enable Trend Filter (default: OFF): Only signals aligned with EMA-200 trend
Show Component Plots (default: OFF): Display individual components for analysis
How to Use
Basic Signal Interpretation:
Green triangle below histogram = Long signal (momentum crossing up through oversold)
Red triangle above histogram = Short signal (momentum crossing down through overbought)
Histogram color indicates momentum direction and strength
Background shading highlights extreme overbought/oversold zones
Entry Strategy:
Wait for the histogram to enter oversold territory (below -100) for longs, or overbought (above +100) for shorts
Look for the entry signal (triangle) when momentum crosses back through the threshold
Confirm the signal occurs with adequate volume (if volume filter is enabled)
Consider the trend filter if trading with the dominant direction only
Exit Strategy:
Optional exit signals appear when momentum crosses the zero line against your position
Consider taking profits at extreme opposite readings (e.g., long exit when reaching +100)
Use price action, support/resistance, or your own risk management for final exits
Fine-Tuning:
Shorter Length settings (8-10): More responsive, more signals, potentially more noise
Longer Length settings (18-21): Smoother signals, fewer false positives, slower response
Higher Volume Sensitivity: Requires stronger volume confirmation
Lower Overbought/Oversold Levels (±80): More frequent signals
Enable Trend Filter: Reduces signals but improves win rate by trading with trend
Best Practices
Combine with Price Action: Use this indicator to confirm what you're seeing on the price chart, not as a standalone system
Respect the Volume Filter: Low-volume signals are often false moves; the volume confirmation is there for a reason
Don't Chase: Wait for signals at extreme levels; entries in the middle zone tend to whipsaw
Use Multiple Timeframes: Check that momentum aligns across your trading timeframe and a higher timeframe
Backtest Your Settings: Default parameters work well on many instruments, but optimization for your specific market and timeframe can improve results
Technical Details
The indicator normalizes each component to a -50 to +50 range before averaging, ensuring equal weighting regardless of the raw scale differences between Williams %R, Stochastic, MACD, and ROC. The MACD component uses a hyperbolic tangent function for smooth, bounded normalization. Volume weighting applies a logarithmic scale to prevent extreme outliers from dominating the calculation while still capturing genuine volume surges.
Stoch PRO + Dynamic EMA (EMA cross)Stoch PRO + Dynamic EMA Documentation
Overview:
- Pine Script v6 overlay indicator combining a trend-colored EMA with a Stochastic oscillator to highlight midline momentum shifts.
- Designed for TradingView charts (Indicators → Import) as a visual aid for timing entries within trend-following setups.
- Crafted and optimized around BTCUSDT on the 4h timeframe; adapt inputs before applying to other markets or intervals.
Inputs:
- EMA Length (default 50): smoothing window for the dynamic EMA; lower values respond faster but whipsaw more.
- Stochastic K Length (20): lookback for the raw %K calculation.
- Stochastic K Smoothing (3): SMA applied to %K to reduce noise.
- Stochastic D Smoothing (3): SMA over %K to produce the companion %D line.
Visual Elements:
- EMA plotted on price with linewidth 3; teal when close > EMA, fuchsia otherwise.
- Background tinted teal/fuchsia at high transparency (≈92) to reinforce the current trend bias without obscuring price bars.
Oscillator Logic:
- %K = ta.stoch(high, low, close, kLength); smoothed with ta.sma(kRaw, kSmooth).
- %D = ta.sma(k, dSmooth).
- Focus is on the midline (50) rather than traditional 20/80 extremes to emphasize rapid momentum flips.
Signals:
- Buy: %K crossing above 50 while close > EMA (teal state). Plots tiny teal circle below the bar.
- Sell: %K crossing below 50 while close < EMA (fuchsia state). Plots tiny purple circle above the bar.
Trading Workflow Tips:
- Use EMA/background color for directional bias, then confirm with %K 50-cross to refine entries.
- Consider higher-timeframe trend filters or price-action confirmation to avoid range chop.
- Stops often sit just beyond the EMA; adjust thresholds (e.g., 55/45) if too many false positives occur.
- Always plan risk/reward upfront—define TP/SL levels that fit your strategy and backtest them thoroughly before trading live.
Alerts & Extensions:
- Wrap crossUp/crossDown in alertcondition() if TradingView alerts are needed.
- For automation/backtesting, convert logic to a strategy() script or add position management rules.
Stablecoin to BTC Market Cap RatioThis indicator calculates the ratio of the combined market capitalization of USDT and USDC stablecoins to the market capitalization of BTC. Data is updated daily from TradingView's CRYPTOCAP sources. It is displayed as a line in a separate panel, allowing analysis of stablecoin liquidity dynamics relative to BTC.
How to Use
Add the indicator to any asset chart in TradingView. It is useful for assessing the potential buying power of stablecoins in the cryptocurrency market. High ratio values may signal accumulation of liquidity in stablecoins, often preceding growth in BTC or altcoins (bullish signal). Low values indicate a decrease in the role of stablecoins, which may be bearish. It is recommended to combine with other indicators, such as RSI or volumes, to confirm trends.
MACD - Ostinato TradingMACD oscillator from Ostinato Trading, the classic momentum indicator. With this particular code you can superpose two different MACD and add a background to display cross of second indicator if you don't want to display it completely.
Koosha Dab's True Momentum OscillatorTrue Momentum Oscillator based on code written by SparkyFlary:
tradingview.com/u/SparkyFlary/
Different timeframe calculations added to the code.
MACD Remastered [CHE]MACD Remastered — Robust MACD with confirmed pivot-based divergence, optional signal bands, and ready-to-use alerts.
Summary
This indicator augments classic MACD with a robust, confirmed pivot-based divergence engine and an optional signal channel using Bollinger Bands. Divergence signals are only produced after a pivot is confirmed, which reduces noise from transient swings. A line-of-sight clearance check filters cases where the MACD histogram path contradicts the divergence, further cutting false flags. Histogram coloring clarifies momentum changes, while optional triangles project the same signals onto the main chart for quick context.
Motivation: Why this design?
Standard MACD divergence tools tend to fire early in volatile phases and flip during consolidation. The core idea here is to delay decision points until a pivot is confirmed and to validate the path between pivots. This addresses fake flips and improves signal credibility at the cost of some latency. Optional bands around the Signal line add context about compression and expansion without altering MACD’s core behavior.
What’s different vs. standard approaches?
Reference baseline: Classical MACD (fast and slow moving averages, Signal line, histogram) with simple divergence checks.
Architecture differences:
Confirmed pivot logic with left and right bars.
Line-of-sight clearance test across the histogram path between pivots.
Optional Signal-line Bollinger Bands with configurable length and width.
Composite “Any Divergence” alert plus separate regular and hidden alerts.
Optional main-chart triangles using forced overlay for at-a-glance context.
Practical effect: Fewer early or contradictory divergence signals, clearer momentum context via histogram colors and a visible Signal channel during compression and expansion.
How it works (technical)
The MACD line derives from a fast and a slow moving average on a chosen source. The Signal line smooths the MACD line using a selected moving average type and length. The histogram is the difference between MACD and Signal and is colored by direction and acceleration.
Divergence uses confirmed pivots: a pivot forms only after a set number of bars on the right side, so the event is locked in. The engine retrieves the last two relevant pivots and checks price movement versus the MACD histogram movement to classify regular or hidden divergence. A line-of-sight clearance routine traverses the histogram path between the two pivots and rejects the signal if the path invalidates the directional relationship. When enabled, Bollinger Bands are plotted around the Signal line; width scales with standard deviation. Programmatic alerts fire only on confirmed bars. No higher-timeframe requests are used.
Parameter Guide
Oscillator MA Type — Sets fast and slow MA family for MACD. Default: EMA. Tip: EMA is more responsive; SMA is steadier.
Fast Length — Fast MA period. Default: 12. Trade-off: Shorter is quicker but noisier.
Slow Length — Slow MA period. Default: 26. Trade-off: Longer reduces noise but adds lag.
Source — Price input. Default: Close. Tip: Use a stable source for consistency.
Signal MA Type — Moving average family for Signal. Default: EMA.
Signal Length — Smoothing of MACD into Signal. Default: 9. Trade-off: Longer smooths more, reacts slower.
Calculate Divergence — Enables divergence engine. Default: True.
Enable Bollinger Bands on Signal — Adds bands around Signal. Default: False.
BB Length — Sampling window for bands. Default: 20. Active: Only when bands are enabled.
BB StdDev — Band width in standard deviations. Default: 2.0. Bounds: between about zero point zero zero one and fifty.
Pivot Left / Pivot Right — Bars to the left and right that define a confirmed pivot. Default: five and five. Trade-off: Larger values mean stronger but slower pivots.
Min / Max Bars Between Pivots — Valid window between two pivots. Default: five and sixty. Tip: Increase minimum to reduce micro-divergences.
Detect Hidden — Include hidden divergence. Default: True.
Draw Lines — Draw connector lines on the MACD pane. Default: True.
Alerts: Enable / Regular / Hidden / Frequency / Prefix — Control alert emission, categories, cadence, and label. Defaults: Enabled, both categories on, once per bar close, prefix “MACD RM”.
Reading & Interpretation
Histogram: Columns above zero reflect positive momentum; below zero reflect negative momentum. Color shifts indicate momentum increasing or decreasing within each side.
MACD and Signal: Crosses and distance indicate momentum shifts and strength. When bands are enabled, touches and departures hint at compression and expansion around the Signal.
Divergence: Solid green lines and labels indicate regular bullish; solid red indicate regular bearish. Dashed teal and dashed orange denote hidden bullish and hidden bearish. Triangles on the main chart mirror these events for quicker visibility.
Practical Workflows & Combinations
Trend following: Use histogram color transitions with a structure filter such as higher highs and higher lows for long bias, or lower highs and lower lows for short bias. Divergence against the prevailing structure suggests caution or partial exits.
Exits and risk: In a long, regular bearish divergence near resistance can justify scaling out or tightening stops. Hidden divergence in the trend direction can support continuation but should not replace risk controls.
Multi-asset / Multi-timeframe: Works across liquid futures, forex, indices, and large-cap equities. Start with defaults on four-hour and daily; shorten lengths on intraday only when liquidity is strong.
Behavior, Constraints & Performance
Repaint and confirmation: Signals are anchored only after the right-side pivot bars complete; alerts trigger on confirmed bars. This intentionally adds latency to reduce noise.
No higher-timeframe requests: No `security` calls are used; repaint risk is primarily tied to live bars before confirmation.
Resources: Declared `max_bars_back` is five hundred. The divergence path check iterates between pivots, bounded by the maximum bars parameter. Line objects may accumulate; limits are set for lines and labels.
Known limits: Latency at sharp turns, potential misses during fast single-bar reversals, and sensitivity to extremely choppy sessions if minimum gap between pivots is set too low.
Sensible Defaults & Quick Tunin g
Starting point: EMA, twelve and twenty-six with Signal nine; pivots five and five; minimum five, maximum sixty; alerts on close; bands off.
Too many flips: Increase Signal length, raise pivot counts, and increase minimum bars between pivots. Consider disabling hidden divergence.
Too sluggish: Reduce pivot counts, lower Signal length, and enable bands to visualize early compression.
Cluttered chart: Keep lines off and rely on labels and main-chart triangles. Use the alert prefix to route events cleanly.
What this indicator is—and isn’t
This is a visualization and signal layer for MACD with confirmed, path-checked divergence and optional Signal bands. It is not a trading system, not predictive, and not a position management framework. Use it together with structure analysis, liquidity context, and explicit risk controls.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Liquidity Regime OscillatorThe Liquidity Signal Line is a macro-driven confirmation tool designed to capture the underlying global liquidity regime in a single, smoothed oscillator. It measures the combined directional flow of monetary and financial conditions using high-impact macro data: Federal Reserve assets (WALCL), Treasury General Account (TGA), and the Overnight Reverse Repo facility (RRP) – adjusted by key market proxies such as the U.S. Dollar Index, credit spreads (HYG/LQD), and equity risk appetite (SPHB/SPHQ). These components are normalized, weighted, and then double-smoothed into a stable signal that translates complex liquidity dynamics into a simple 0–100 scale.
Liquidity expansion provides fuel for risk assets, while contraction drains leverage and risk appetite. The Signal Line acts as a confirmation overlay for trend and allocation strategies, showing whether systemic liquidity is broadly supportive or restrictive. Readings above 50 indicate an expansionary environment (risk-on bias), below 50 a contractionary one (risk-off bias). Because the calculation uses higher-timeframe macro data, it can be displayed on any chart to give traders a consistent, regime-aware signal that bridges macro policy and technical execution.
Volume Weighted Price OscillatorThis indicator calculates the Percentage Price Oscillator (PPO), a momentum oscillator similar to the MACD. It displays the distance between two moving averages as a percentage, making it comparable across different assets. This implementation enhances the PPO with optional volume weighting and a built-in divergence engine.
Key Features:
Customizable MA & Volume Weighting: Both the fast and slow moving averages (and the signal line) can be customized using different MA types (e.g., EMA, SMA, WMA). An option (Volume weighted) applies volume weighting to all three MAs.
MACD-Style Display: Provides the three core components: the PPO line (momentum), a signal line (trigger), and a histogram (momentum acceleration). The histogram is color-coded to show increasing or decreasing momentum.
Full Divergence Suite (Class A, B, C): A built-in divergence engine automatically detects and plots all three major divergence classes between price and the PPO line:
Regular (A): Signals potential trend reversals.
Hidden (B): Signals potential trend continuations.
Exaggerated (C): Signals weakness at double tops/bottoms.
Divergence Filtering and Visualization:
Price Tolerance Filter: Divergence detection is enhanced with a percentage-based price tolerance (pivPrcTol) to filter out insignificant market noise.
Persistent Visualization: Divergence markers are plotted for the entire duration of the signal and are visually anchored to the PPO level of the confirming pivot.
Note on Confirmation (Lag): Divergence signals rely on a pivot confirmation method to ensure they do not repaint.
The Start of a- divergence is only detected after the confirming pivot is fully formed (a delay based on Pivot Right Bars).
The End of a divergence is detected either instantly (if the signal is invalidated by price action) or with a delay (when a new, non-divergent pivot is confirmed).
Multi-Timeframe (MTF) Capability:
MTF PPO Lines: The PPO, signal line, and histogram can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...).
Limitation: The Divergence detection engine (pivDiv) is disabled if a timeframe other than the chart's timeframe is selected. Divergences are only calculated on the active chart timeframe.
Integrated Alerts: Includes 18 comprehensive alerts for:
The start and end of all 6 divergence types.
The PPO line crossing its signal line.
The PPO line crossing the zero line.
The histogram changing direction (reverting).
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
RSI + MFI + VolumeIndicator shows RSI + MFI + Volume in one panel, marks divergences separate for wicks and bodies, green dots shows where MFI and RSI are oversold
MACD (classic) + Divergences (wicks & bodies, fast/slow)macd with divergences. Wicks + bodies. Two settings for right bar
MACD HTF Hardcoded (A/B Presets) + Regimes [CHE] MACD HTF Hardcoded (A/B Presets) + Regimes — Higher-timeframe MACD emulation with acceptance-based regime filter and on-chart diagnostics
Summary
This indicator emulates a higher-timeframe MACD directly on the current chart using two hardcoded preset families and a time-bucket mapping, avoiding cross-timeframe requests. It classifies four MACD regimes and applies an acceptance filter that requires several consecutive bars before a state is considered valid. A small dead-band around zero reduces noise near the axis. An on-chart table reports the active preset, the inferred time bucket, the resolved lengths, and the current regime.
Pine version: v6
Overlay: false
Primary outputs: MACD line, Signal line, Histogram columns, zero line, regime-change alert, info table
Motivation: Why this design?
Cross-timeframe indicators often rely on external timeframe requests, which can introduce repaint paths and added latency. This design provides a deterministic alternative: it maps the current chart’s timeframe to coarse higher-timeframe buckets and uses fixed EMA lengths that approximate those views. The dead-band suppresses flip-flops around zero, and the acceptance counter reduces whipsaw by requiring sustained agreement across bars before acknowledging a regime.
What’s different vs. standard approaches?
Baseline: Classical MACD with user-selected lengths on the same timeframe, or higher-timeframe MACD via cross-timeframe requests.
Architecture differences:
Hardcoded A and B length families with a bucket map derived from the chart timeframe.
No `request.security`; all calculations occur on the current series.
Regime classification from MACD and Histogram sign, gated by an acceptance count and a small zero dead-band.
Diagnostics table for transparency.
Practical effect: The MACD behaves like a slower, higher-timeframe variant without external requests. Regimes switch less often due to the dead-band and acceptance logic, which can improve stability in choppy sessions.
How it works (technical)
The script derives a coarse bucket from the chart timeframe using `timeframe.in_seconds` and maps it to preset-specific EMA lengths. EMAs of the source build MACD and Signal; their difference is the Histogram. Signs of MACD and Histogram define four regimes: strong bull, weak bull, strong bear, and weak bear. A small, user-defined band around zero treats values near the axis as neutral. An acceptance counter checks whether the same regime persisted for a given number of consecutive bars before it is emitted as the filtered regime. A single alert condition fires when the filtered regime changes. The histogram columns change shade based on position relative to zero and whether they are rising or falling. A persistent table object shows preset, bucket tag, resolved lengths, and the filtered regime. No cross-timeframe requests are used, so repaint risk is limited to normal live-bar movement; values stabilize on close.
Parameter Guide
Source — Input series for MACD — Default: Close — Using a smoother source increases stability but adds lag.
Preset — A or B length family — Default: “3,10,16” — Switch to “12,26,9” for the classic family mapped to buckets.
Table Position — Anchor for the info table — Default: Top right — Choose a corner that avoids covering price action.
Table Size — Table text size — Default: Normal — Use small on dense charts, large for presentations.
Dark Mode — Table theme — Default: Enabled — Match your chart background for readability.
Show Table — Toggle diagnostics table — Default: Enabled — Disable for a cleaner pane.
Zero dead-band (epsilon) — Noise gate around zero — Default: Zero — Increase slightly when you see frequent flips near zero.
Acceptance bars (n) — Bars required to confirm a regime — Default: Three — Raise to reduce whipsaw; lower to react faster.
Reading & Interpretation
Histogram columns: Above zero indicates bullish pressure; below zero indicates bearish pressure. Darker shade implies the histogram increased compared with the prior bar; lighter shade implies it decreased.
MACD vs. Signal lines: The spread corresponds to histogram height.
Regimes:
Strong bull: MACD above zero and Histogram above zero.
Weak bull: MACD above zero and Histogram below zero.
Strong bear: MACD below zero and Histogram below zero.
Weak bear: MACD below zero and Histogram above zero.
Table: Inspect active preset, bucket tag, resolved lengths, and the filtered regime number with its description.
Practical Workflows & Combinations
Trend following: Use strong bull to favor long exposure and strong bear to favor short exposure. Use weak states as pullback or transition context. Combine with structure tools such as swing highs and lows or a baseline moving average for confirmation.
Exits and risk: In strong trends, consider exiting partial size on a regime downgrade to a weak state. In choppy sessions, increase the acceptance bars to reduce churn.
Multi-asset / Multi-timeframe: Works on time-based charts across liquid futures, indices, currencies, and large-cap equities. Bucket mapping helps retain a consistent feel when moving from lower to higher timeframes.
Behavior, Constraints & Performance
Repaint/confirmation: No cross-timeframe requests; values can evolve intrabar and settle on close. Alerts follow your TradingView alert timing settings.
Resources: `max_bars_back` is set to five thousand. Very large resolved lengths require sufficient history to seed EMAs; expect a warm-up period on first load or after switching symbols.
Known limits: Dead-band and acceptance can delay recognition at sharp turns. Extremely thin markets or large gaps may still cause brief regime reversals.
Sensible Defaults & Quick Tuning
Start with preset “3,10,16”, dead-band near zero, and acceptance of three bars.
Too many flips near zero: increase the dead-band slightly or raise the acceptance bars.
Too sluggish in clean trends: reduce the acceptance bars by one.
Too sensitive on fast lower timeframes: switch to the “12,26,9” preset family or raise the acceptance bars.
Want less clutter: hide the table and keep the alert.
What this indicator is—and isn’t
This is a visualization and regime layer for MACD using higher-timeframe emulation and stability gates. It is not a complete trading system and does not generate position sizing or risk management. Use it with market structure, execution rules, and protective stops.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
ATR x Trend x Volume SignalsATR x Trend x Volume Signals is a multi-factor indicator that combines volatility, trend, and volume analysis into one adaptive framework. It is designed for traders who use technical confluence and prefer clear, rule-based setups.
🎯 Purpose
This tool identifies high-probability market moments when volatility structure (ATR), momentum direction (CCI-based trend logic), and volume expansion all align. It helps filter out noise and focus on clean, actionable trade conditions.
⚙️ Structure
The indicator consists of three main analytical layers:
1️⃣ ATR Trailing Stop – calculates two adaptive ATR lines (fast and slow) that define volatility context, trend bias, and potential reversal points.
2️⃣ Trend Indicator (CCI + ATR) – uses a CCI-based logic combined with ATR smoothing to determine the dominant trend direction and reduce false flips.
3️⃣ Volume Analysis – evaluates volume deviations from their historical average using standard deviation. Bars are highlighted as medium, high, or extra-high volume depending on intensity.
💡 Signal Logic
A Buy Signal (green) appears when all of the following are true:
• The ATR (slow) line is green.
• The Trend Indicator is blue.
• A bullish candle closes above both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
A Sell Signal (red) appears when:
• The ATR (slow) line is red.
• The Trend Indicator is red.
• A bearish candle closes below both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
Only one signal can appear per ATR trend phase. A new signal is generated only after the ATR direction changes.
❌ Exit Logic
Exit markers are shown when price crosses the slow ATR line. This behavior simulates a trailing stop exit. The exit is triggered one bar after entry to prevent same-bar exits.
⏰ Session Filter
Signals are generated only between the user-defined session start and end times (default: 14:00–18:00 chart time). This allows the trader to limit signal generation to active trading hours.
💬 Practical Use
It is recommended to trade with a fixed risk-reward ratio such as 1 : 1.5. Stop-loss placement should be beyond the slow ATR line and adjusted gradually as the trade develops.
For better confirmation, the Trend Indicator timeframe should be higher than the chart timeframe (for example: trading on 1 min → set Trend Indicator timeframe to 15 min; trading on 5 min → set to 1 hour).
🧠 Main Features
• Dual ATR volatility structure (fast and slow)
• CCI-based trend direction filtering
• Volume deviation heatmap logic
• Time-restricted signal generation
• Dynamic trailing-stop exit system
• Non-repainting logic
• Fully optimized for Pine Script v6
📊 Usage Tip
Best results are achieved when combining this indicator with additional technical context such as support-resistance, higher-timeframe confirmation, or market structure analysis.
📈 Credits
Inspired by:
• ATR Trailing Stop by Ceyhun
• Trend Magic by Kivanc Ozbilgic
• Heatmap Volume by xdecow
Composite Buy/Sell Score [-100 to +100] by LMComposite Buy/Sell Score (Stabilized + Sensitivity) by LM
Description:
This indicator calculates a composite trend strength score ranging from -100 to +100 by combining multiple popular technical indicators into a single, smoothed metric. It is designed to give traders a clear view of bullish and bearish trends, while filtering out short-term noise.
The score incorporates signals from:
PPO (Percentage Price Oscillator) – measures momentum via the difference between fast and slow EMAs.
ADX (Average Directional Index) – detects trend strength.
RSI (Relative Strength Index) – identifies short-term momentum swings.
Stochastic RSI – measures RSI momentum and speed of change.
MACD (Moving Average Convergence Divergence) – detects momentum shifts using EMA crossovers.
Williams %R – highlights overbought/oversold conditions.
Each component is weighted, smoothed, and optionally confirmed across a configurable number of bars, producing a stabilized composite score that reacts more reliably to significant trend changes.
Key Features:
Smoothed Composite Score
The final score is smoothed using an EMA to reduce volatility and emphasize meaningful trends.
A Sensitivity Multiplier allows traders to exaggerate the score for stronger trend signals or dampen it for quieter markets.
Customizable Inputs
You can adjust each indicator’s parameters, smoothing lengths, and confirm bars to suit your preferred timeframe and trading style.
The sensitivity multiplier allows fine-tuning the responsiveness of the trend line without changing underlying indicator calculations.
Visual Representation
Score Line: Green for positive (bullish) trends, red for negative (bearish) trends, gray near neutral.
Reference Lines:
0 = neutral
+100 = maximum bullish
-100 = maximum bearish
Adaptive Background: Optionally highlights the background intensity proportional to trend strength. Strong green for bullish trends, strong red for bearish trends.
Multi-Indicator Integration
Combines momentum, trend, and overbought/oversold signals into a single metric.
Helps identify clear entry/exit trends while avoiding whipsaw noise common in individual indicators.
Recommended Use:
Trend Identification: Look for sustained movement above 0 for bullish trends and below 0 for bearish trends.
Exaggerated Trends: Use the Sensitivity Multiplier to emphasize strong trends.
Filtering Noise: The smoothed score and confirmBars settings help reduce false signals from minor price fluctuations.
Inputs Overview:
Input Purpose
PPO Fast EMA / Slow EMA / Signal Controls PPO momentum sensitivity
ADX Length / Threshold Detects trend strength
RSI Length / Overbought / Oversold Measures short-term momentum
Stoch RSI Length / %K / %D Measures speed of RSI changes
MACD Fast / Slow / Signal Measures momentum crossover
Williams %R Length Detects overbought/oversold conditions
Final Score Smoothing Length EMA smoothing for final composite score
Confirm Bars for Each Signal Number of bars used to confirm individual indicator signals
Sensitivity Multiplier Scales the final composite score for exaggerated trend response
Highlight Background by Trend Strength Enables adaptive background coloring
This indicator is suitable for traders looking for a single, clear trend metric derived from multiple indicators. It can be applied to any timeframe and can help identify both strong and emerging trends in the market.
[AS] MACD-v & Hist [Alex Spiroglou | S.M.A.R.T. TRADER SYSTEMS] MACD-v & MACD-v Histogram
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Volatility Normalised Momentum 📈
Twice Awarded Indicator 🏆
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✅ 1. INTRODUCTION TO THE MACD-v ✅
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I created the MACD-v in 2015,
as a way to deal with the limitations
of well known indicators like the Stochastic, RSI, MACD.
I decided to publicly share a very small part of my research
in the form of a research paper I wrote in 2022,
titled "MACD-v: Volatility Normalised Momentum".
That paper was awarded twice:
1. The "Charles H. Dow" Award (2022),
for outstanding research in Technical Analysis,
by the Chartered Market Technicians Association (CMTA)
2. The "Founders" Award (2022),
for advances in Active Investment Management,
by the National Association of Active Investment Managers (NAAIM)
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❌ 2. WHY CREATE THE MACD-v ?
THE LIMITATIONS OF CONVENTIONAL MOMENTUM INDICATORS
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Technical Analysis indicators focused on momentum,
come in two general categories,
each with its own set of limitations:
(i) Range Bound Oscillators (RSI, Stochastics, etc)
These usually have a scaling of 0-100,
and thus have the advantage of having normalised readings,
that are comparable across time and securities.
However they have the following limitations (among others):
1. Skewing effect of steep trends
2. Indicator values do not adjust with and reflect true momentum
(indicator values are capped to 100)
(ii) Unbound Oscillators (MACD, RoC, etc)
These are boundless indicators,
and can expand with the market,
without being limited by a 0-100 scaling,
and thus have the advantage of really measuring momentum.
They have the main following limitations (among others):
1. Subjectivity of overbought / oversold levels
2. Not comparable across time
3. Not comparable across securities
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💡 3. THE SOLUTION TO SOLVE THESE LIMITATIONS
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In order to deal with these limitations,
I decided to create an indicator,
that would be the "Best of two worlds".
A unique & hybrid indicator,
that would have objective normalised readings
(similar to Range Bound Oscillators - RSI)
but would also be able to have no upper/lower boundaries
(similar to Unbound Oscillators - MACD).
This would be achieved by "normalising" a boundless oscillator (MACD)
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⛔ 4. DEEP DIVE INTO THE 5 LIMITATIONS OF THE MACD
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A Bloomberg study found that the MACD
is the most popular indicator after the RSI,
but the MACD has 5 BIG limitations.
Limitation 1: MACD values are not comparable across Time
The raw MACD values shift
as the underlying security's absolute value changes across time,
making historical comparisons obsolete
e.g S&P 500 maximum MACD was 1.56 in 1957-1971,
but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum,
but simply different price levels.
Limitation 2: MACD values are not comparable across Assets
Traditional MACD cannot compare momentum between different assets.
S&P 500 MACD of 65 versus EUR/USD MACD of -0.5
reflects absolute price differences, not momentum differences
Limitation 3: MACD values cannot be Systematically Classified
Due to limitations #1 & #2, it is not possible to create
a momentum level classification scale
where one can define "fast", "slow", "overbought", "oversold" momentum
making systematic analysis impossible
Limitation 4: MACD Signal Line gives false crossovers in low-momentum ranges
In range-bound, low momentum environments,
most of the MACD signal line crossovers are false (noise)
Since there is no objective momentum classification system (limitation #3),
it is not possible to filter these signals out,
by avoiding them when momentum is low
Limitation 5: MACD Signal Line gives late crossovers in high momentum regimes.
Signal lag in strong trends not good at timing the turning point
— In high-momentum moves, MACD crossovers may come late.
Since there is no objective momentum classification system (limitation #3),
it is not possible to filter these signals out,
by avoiding them when momentum is high
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🏆 5. MACD-v : THE SOLUTION TO THE LIMITATIONS OF THE MACD , RSI, etc
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MACD-v is a volatility normalised momentum indicator.
It remedies these 5 limitations of the classic MACD,
while creating a tool with unique properties.
Formula: × 100
MACD-V enhances the classic MACD by normalizing for volatility,
transforming price-dependent readings into standardized momentum values.
This resolves key limitations of traditional MACD and adds significant analytical power.
Core Advantages of MACD-V
Advantage 1: Time-Based Stability
MACD-V values are consistent and comparable over time.
A reading of 100 has the same meaning today as it did in the past
(unlike traditional MACD which is influenced by changes in price and volatility over time)
Advantage 2: Cross-Market Comparability
MACD-V provides universal scaling.
Readings (e.g., ±50) apply consistently across all asset classes—stocks,
bonds, commodities, or currencies,
allowing traders to compare momentum across markets reliably.
Advantage 3: Objective Momentum Classification
MACD-V includes a defined 5-range momentum lifecycle
with standardized thresholds (e.g., -150 to +150).
This offers an objective framework for analyzing market conditions
and supports integration with broader models.
Advantage 4: False Signal Reduction in Low-Momentum Regimes
MACD-V introduces a "neutral zone" (typically -50 to +50)
to filter out these low-probability signals.
Advantage 5: Improved Signal Timing in High-Momentum Regimes
MACD-V identifies extremely strong trends,
allowing for more precise entry and exit points.
Advantage 6: Trend-Adaptive Scaling
Unlike bounded oscillators like RSI or Stochastic,
MACD-V dynamically expands with trend strength,
providing clearer momentum insights without artificial limits.
Advantage 7: Enhanced Divergence Detection
MACD-V offers more reliable divergence signals
by avoiding distortion at extreme levels,
a common flaw in bounded indicators (RSI, etc)
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⚒️ 5. HOW TO USE THE MACD-v: 7 CORE PATTERNS
HOW TO USE THE MACD-v Histogram: 2 CORE PATTERNS
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>>>>>> BASIC USE (RANGE RULES) <<<<<<
The MACD-v has 7 Core Patterns (Ranges) :
1. Risk Range (Overbought)
Condition: MACD-V > Signal Line and MACD-V > +150
Interpretation: Extremely strong bullish momentum—potential exhaustion or reversal zone.
2. Retracing
Condition: MACD-V < Signal Line and MACD-V > -50
Interpretation: Mild pullback within a bullish trend.
3. Rundown
Condition: MACD-V < Signal Line and -50 > MACD-V > -150
Interpretation: Momentum is weakening—bearish pressure building.
4. Risk Range (Oversold)
Condition: MACD-V < Signal Line and MACD-V < -150
Interpretation: Extreme bearish momentum—potential for reversal or capitulation.
5. Rebounding
Condition: MACD-V > Signal Line and MACD-V > -150
Interpretation: Bullish recovery from oversold or weak conditions.
6. Rallying
Condition: MACD-V > Signal Line and MACD-V > +50
Interpretation: Strengthening bullish trend—momentum accelerating.
7. Ranging (Neutral Zone)
Condition: MACD-V remains between -50 and +50 for 20+ bars
Interpretation: Sideways market—low conviction and momentum.
The MACD-v Histogram has 2 Core Patterns (Ranges) :
1. Risk (Overbought)
Condition: Histogram > +40
Interpretation: Short-term bullish momentum is stretched—possible overextension or reversal risk.
2. Risk (Oversold)
Condition: Histogram < -40
Interpretation: Short-term bearish momentum is stretched—potential for rebound or reversal.
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📈 6. ADVANCED PATTERNS WITH MACD-v
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Thanks to its volatility normalization,
the MACD-V framework enables the development
of a wide range of advanced pattern recognition setups,
trading signals, and strategic models.
These patterns go beyond basic crossovers,
offering deeper insight into momentum structure,
regime shifts, and high-probability trade setups.
These are not part of this script
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⚙️ 7. FUNCTIONALITY - HOW TO ADD THE INDICATORS TO YOUR CHART
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The script allows you to see :
1. MACD-v
The indicator with the ranges (150,50,0,-50,-150)
and colour coded according to its 7 basic patterns
2. MACD-v Histogram
The indicator The indicator with the ranges (40,0,-40)
and colour coded according to its 2 basic ranges / patterns
3. MACD-v Heatmap
You can see the MACD-v in a Multiple Timeframe basis,
using a colour-coded Heatmap
Note that lowest timeframe in the heatmap must be the one on the chart
i.e. if you see the daily chart, then the Heatmap will be Daily, Weekly, Monthly
4. MACD-v Dashboard
You can see the MACD-v for 7 markets,
in a multiple timeframe basis
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🤝 CONTRIBUTIONS 🤝
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I would like to thank the following people:
1. Mike Christensen for coding the indicator
@TradersPostInc, @Mik3Christ3ns3n,
2. @Indicator-Jones For allowing me to use his Scanner
3. @Daveatt For allowing me to use his heatmap
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⚠️ LEGAL - Usage and Attribution Notice ⚠️
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Use of this Script is permitted
for personal or non-commercial purposes,
including implementation by coders and TradingView users.
However, any form of paid redistribution,
resale, or commercial exploitation is strictly prohibited.
Proper attribution to the original author is expected and appreciated,
in order to acknowledge the source
and maintain the integrity of the original work.
Failure to comply with these terms,
or to take corrective action within 48 hours of notification,
will result in a formal report to TradingView’s moderation team,
and will actively pursue account suspension and removal of the infringing script(s).
Continued violations may result in further legal action, as deemed necessary.
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⚠️ DISCLAIMER ⚠️
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This indicator is For Educational Purposes Only (F.E.P.O.).
I am just Teaching by Example (T.B.E.)
It does not constitute investment advice.
There are no guarantees in trading - except one.
You will have losses in trading.
I can guarantee you that with 100% certainty.
The author is not responsible for any financial losses
or trading decisions made based on this indicator. 🙏
Always perform your own analysis and use proper risk management. 🛡️
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Mean Reversion Trading V1Overview
This is a simple mean reversion strategy that combines RSI, Keltner Channels, and MACD Histograms to predict reversals. Current parameters were optimized for NASDAQ 15M and performance varies depending on asset. The strategy can be optimized for specific asset and timeframe.
How it works
Long Entry (All must be true):
1. RSI < Lower Threshold
2. Close < Lower KC Band
3. MACD Histogram > 0 and rising
4. No open trades
Short Entry (All must be true):
1. RSI > Upper Threshold
2. Close > Upper KC Band
3. MACD Histogram < 0 and falling
4. No open trades
Long Exit:
1. Stop Loss: Average position size x ( 1 - SL percent)
2. Take Profit: Average position size x ( 1 + TP percent)
3. MACD Histogram crosses below zero
Short Exit:
1. Stop Loss: Average position size x ( 1 + SL percent)
2. Take Profit: Average position size x ( 1 - TP percent)
3. MACD Histogram crosses above zero
Settings and parameters are explained in the tooltips.
Important
Initial capital is set as 100,000 by default and 100 percent equity is used for trades
Range Opening (ADX)▶ OVERVIEW
Range Opening (ADX) dynamically detects market opening ranges triggered by ADX (Average Directional Index) momentum shifts. Upon a user-defined ADX crossover or crossunder event, it builds a volume-based range box that tracks high and low prices over a fixed bar length and visualizes order flow pressure with delta volume and breakout buffer zones.
▶ RANGE TRIGGER VIA ADX CROSSOVER
The range begins when ADX crosses a custom threshold, indicating a shift in trend strength:
Users choose between ADX crossover or crossunder as the trigger.
Once triggered, the indicator starts collecting price and volume data for the specified “Range Opening Length.”
The ADX plot on the subchart is colored dynamically using a green-to-magenta gradient based on its strength.
A small label marks the ADX crossover/crossunder event visually.
▶ RANGE DEVELOPMENT BOX
While the range is forming:
Price highs and lows over the defined period are collected and stored.
A temporary gray box is drawn between the maximum high and minimum low, showing the developing range.
At each bar, delta volume is updated:
Positive if close > open
Negative if close < open
A total delta volume value is shown inside the developing box for real-time monitoring.
▶ RANGE COMPLETION & BREAKOUT LINES
Once the range completes (after the defined bar count):
The gray box is replaced with a finalized, color-coded range box.
Color Logic:
Green box if delta volume is positive (bullish bias)
Magenta box if delta is negative (bearish bias)
Two solid horizontal lines are drawn:
Top line from the range high
Bottom line from the range low
Two dashed lines are added above and below the range using ATR-based buffers, acting as buffer zones.
These lines extend until a new ADX trigger occurs, helping track future price interaction with the range.
▶ INFO PANEL & STATUS MONITORING
A compact data table appears in the top-right corner, offering quick insight:
ADX: Current value, color-coded to strength.
Threshold: User-defined trigger level.
Range Status:
Shows a green diamond when range is still forming.
Shows a magenta diamond after the range has completed.
Tooltip updates to “Developing” or “Formatted” based on stage.
▶ USAGE
Traders can use Range Opening (ADX) to:
Identify periods of strength expansion and price consolidation using ADX signals.
Track breakout potential and liquidity zones formed during opening-type setups.
Monitor delta volume to gauge buying/selling bias inside short-term ranges.
Use ATR buffer zones for breakout confirmation or fade setups.
Visually mark where the most recent structured range was defined.
▶ CONCLUSION
Range Opening (ADX) offers a systematic method to detect and monitor market ranges triggered by volatility surges. With real-time delta volume insight, persistent breakout levels, and ADX-driven logic, it serves as a versatile tool for both breakout traders and range strategists looking to capitalize on momentum-based setups.
NEURAL FLOW INDEX — Core Energy • Momentum Stream • Pulse SyncNeural Flow Index (NFI) — Advanced Triple-Layer Reversal Framework
The Neural Flow Index (NFI) is a next-generation market oscillator designed to reveal the hidden synchronization between trend energy, cyclical momentum, and internal pulse dynamics.
It merges three powerful analytical layers into a single, normalized view:
Core Energy Curve (based on RSO logic) — captures structural trend bias and volatility expansion.
Momentum Stream (WaveTrend algorithm) — visualizes cyclical motion of price waves.
Pulse Sync (Stochastic RSI adaptation) — measures short-term momentum rhythm and overextension.
Each layer feeds into a unified flow model that adapts to both trend-following and reversal conditions. The goal is not to chase every fluctuation, but to sense where momentum, direction, and volatility converge into true inflection points.
Conceptual Mechanics
The oscillator translates complex market behavior into an elegant, multi-phase signal system:
Core Energy Curve (RSO foundation):
A smoothed dynamic field representing the overall strength and direction of market pressure.
Green energy indicates expansion (bullish dominance); red energy reflects contraction (bearish decay).
Momentum Stream (WaveTrend):
The teal line functions like an electro-wave, oscillating through phases of expansion and exhaustion.
It provides the heartbeat of the market — smooth, rhythmic, and beautifully cyclic.
Pulse Sync (Stochastic RSI):
The purple line acts as the market’s nervous pulse, reacting to micro-momentum changes before the larger trend adjusts.
It identifies micro-tops and micro-bottoms that precede major trend shifts.
When these three forces align, they create high-probability reversal zones known as Neural Nodes — regions where energy, momentum, and rhythm converge.
Trading Logic
Potential Entry Zones:
When the purple Pulse Sync line crosses the green Momentum Stream near the lower or upper bounds of the oscillator, a potential turning point forms.
Yet, these crossovers are only validated when the Core Energy histogram (RSO) simultaneously supports the same direction — confirming that energy and rhythm are synchronized.
Histogram Confirmation:
The histogram is the “voice” of the oscillator.
Rising green volume within the histogram during a Pulse-Momentum crossover suggests a legitimate upward reversal.
Conversely, expanding red energy during an upper-band cross indicates momentum exhaustion and an early short-side opportunity.
Neutral Zones:
When all three layers flatten near the zero line, the market enters an equilibrium phase — no clear trend dominance, ideal for patience and re-entry planning.
| Layer | Representation | Color | Function |
| --------------------- | ------------------- | ----------------- | ------------------------------ |
| **Core Energy Curve** | Area / Histogram | Lime-Red gradient | Trend bias & volatility energy |
| **Momentum Stream** | WaveTrend line | Teal | Cyclical flow of price |
| **Pulse Sync** | Stochastic RSI line | Purple | Short-term momentum rhythm |
Interpretation Summary
Converging Waves: Trend, momentum, and pulse move together → strong continuation.
Diverging Waves: Pulse or Momentum decouple from Core Energy → early reversal warnings.
Histogram Expansion: Confirms direction and strength of the new wave.
Crossovers at Extremes: Potential entries, especially when confirmed by energy alignment.
🪶 Philosophy Behind NFI
The Neural Flow Index is not just a technical indicator — it’s a behavioral visualization system.
Instead of focusing on lagging confirmations, it captures the neural pattern of price motion:
how liquidity flows, contracts, and expands through time.
It bridges the gap between pure mathematics and market intuition — giving traders a cinematic, harmonic view of energy transition inside price structure.
WaveTrend RBF What it does
WT-RBF extracts a “wave” of momentum by subtracting a fast Gaussian-weighted smoother from a slow one, then robust-normalizes that wave with a median/MAD proxy to produce a z-score (z). A short EMA of z forms the signal line. Optional dynamic thresholds use the MAD of z itself so overbought/oversold levels adapt to volatility regimes.
How it’s built:
Radial (Gaussian) smoothers
Causal, exponentially-decaying weights over the last radius bars using σ (sigma) to control spread.
fast = rbf_smooth(src, fastR, fastSig)
slow = rbf_smooth(src, slowR, slowSig)
wave = fast − slow (band-pass)
Robust normalization
A two-stage EMA approximates the median; MAD is estimated from EMA of absolute deviations and scaled by 1.4826 to be stdev-comparable.
z = (wave − center) / MAD
Thresholds
Dynamic OB/OS: ±2.5 × MAD(z) (or fixed levels when disabled)
Reading the indicator
Bull Cross: z crosses above sig → momentum turning up.
Bear Cross: z crosses below sig → momentum turning down.
Exits / Bias flips: zero-line crosses (below 0 → exit long bias; above 0 → exit short bias).
Overbought/Oversold: z > +thrOB or z < thrOS. With dynamics on, the bands widen/narrow with recent noise; with dynamics off, static guides at ±2 / ±2.5 are shown.
Core Inputs
Source: Price series to analyze.
Fast Radius / Fast Sigma (defaults 6 / 2.5): Shorter radius/smaller σ = snappier, higher-freq.
Slow Radius / Slow Sigma (defaults 14 / 5.0): Larger radius/σ = smoother, lower-freq baseline.
Normalization
Robust Z-Score Window (default 200): Lookback for median/MAD proxy (stability vs responsiveness).
Small ε for MAD: Floor to avoid division by zero.
Signal & Thresholds
Dynamic Thresholds (MAD-based) (on by default): Adaptive OB/OS; toggle off to use fixed guides.
Visuals
Shade OB/OS Regions: Background highlights when z is beyond thresholds.
Show Zero Line: Midline reference.
(“Plot Cross Markers” input is present for future use.)
Multi-Moving Average (4x)Configurable moving average indicator where user can select up to 4 MA and configure SMA or EMA , color and width.
Hello Crypto! Modern Combo Snapshot
Unified long/short analyzer blending EMA structure, SuperTrend, WaveTrend, QQE, and volume pressure.
Background shading flags “watch” and “ready” states; optional long/short modules let you focus on one side.
Alerts fire when every checklist item aligns, while the side-panel table summarizes trend, momentum, liquidity, and overall score in real time.
Indicator → Trend Analysis
Indicator → Momentum Oscillators
Indicator → Volume Indicators
Tags:
cryptocurrency, bitcoin, altcoins, trend-following, momentum, volume, ema, supertrend, intraday, swing-trading, alerts, checklist, trading-strategy, risk-management
RVI Divergence Detector with Custom SMA Filter (v6)This script enhances the classic Relative Vigor Index (RVI) by integrating divergence detection with a user-configurable SMA filter applied directly to the RVI oscillator. The goal is to help traders identify high-probability reversal and continuation signals by combining momentum analysis with dynamic baseline filtering.
How it works:
- The RVI measures the conviction behind price moves by comparing closing vs. opening prices relative to the high-low range over a 10-period window.
- Divergences are detected when price makes a new high/low but the RVI does not:
- Regular Bullish: Price makes a lower low, RVI makes a higher low → potential reversal up.
- Hidden Bullish: Price makes a higher low, RVI makes a lower low → trend continuation.
- Inverse logic applies for bearish cases.
- A customizable SMA (default: 14 periods) is plotted on the RVI line. This acts as a dynamic reference to assess whether divergences occur in strong momentum zones (far from SMA) or neutral zones (near SMA), helping filter out weaker signals.
- Users can adjust:
- Pivot lookback range (min/max bars)
- SMA period (1–200)
- Visibility of bullish/bearish and hidden/regular divergences
Why this version adds value:
Unlike basic RVI scripts, this adaptation introduces a configurable trend filter (SMA) and clear visual labeling ("D" for regular, "H" for hidden) with colored lines (green/red) connecting oscillator and price pivots—making divergences instantly recognizable. The logic is optimized for both scalping (short SMA) and swing trading (longer SMA).
Credits:
Based on the original RVI divergence concept by madoqa. This is an open-source adaptation under the Mozilla Public License 2.0. No financial advice. Use at your own risk.
