WaveRider Momentum OscillatorWaveRider Momentum Oscillator
The WaveRider Momentum Oscillator applies principles inspired by fluid dynamics to model price momentum as a flowing system, rather than relying on traditional static calculations. By interpreting market movement through the lens of velocity, viscosity, and turbulence—core concepts in fluid mechanics—this indicator offers a more adaptive and nuanced view of momentum that adjusts dynamically to changing market conditions.
Conceptual Foundation
Velocity: Just as fluid velocity measures the speed of flow at a point, WaveRider calculates momentum velocity by measuring the rate of price change over a specified period, smoothed to reduce noise.
Viscosity: In fluid dynamics, viscosity represents internal friction that resists flow. Here, viscosity is modeled based on volatility, modulating momentum signals to account for the “thickness” or noise level of the market. High volatility increases viscosity’s damping effect, reducing false signals during turbulent price action.
Turbulence: Turbulence characterizes sudden, chaotic changes in fluid flow. WaveRider detects rapid acceleration bursts in momentum analogous to turbulence, highlighting moments when momentum is shifting sharply and potentially signaling strong upcoming price moves.
Technical Features and Interpretation
Adaptive Momentum Calculation: Momentum is scaled by volatility-adjusted viscosity, making the oscillator less prone to whipsaws and more responsive during stable trends.
Turbulence Burst Detection: The oscillator incorporates a turbulence factor, identifying abrupt momentum accelerations that traditional oscillators often miss. This feature provides early warning signals of potential breakout or reversal points.
HSV Gradient Color Mapping: The oscillator visualizes acceleration using a continuous hue gradient—ranging from red (deceleration) through yellow (neutral) to green (acceleration). This continuous color transition provides intuitive, real-time insight into momentum dynamics beyond mere numeric values.
Pivot Point Identification: WaveRider automatically marks momentum pivots, signaling local maxima and minima in momentum flow. These points serve as critical confirmation markers for potential entry and exit decisions.
How to Interpret WaveRider
Colors:
Green hues indicate positive acceleration — momentum is increasing, favoring bullish positions.
Yellow hues represent neutral momentum — the market is consolidating or pausing.
Red hues signal negative acceleration — momentum is weakening, suggesting caution or bearish bias.
Oscillator Direction:
An upward sloping oscillator line reflects strengthening momentum.
A downward slope indicates weakening momentum or a potential reversal.
Pivot Labels:
▲ (Pivot Low): Denotes local momentum troughs; potential points to consider initiating long positions.
▼ (Pivot High): Marks local momentum peaks; useful for identifying possible short entries or profit-taking zones.
Summary
By grounding momentum analysis in fluid dynamics, WaveRider transcends the limitations of traditional oscillators. It accounts for the market’s inherent volatility and captures real-time acceleration changes, enabling traders to detect meaningful momentum shifts with greater accuracy and clarity.
WaveRider is designed for traders seeking a scientifically informed tool that adapts fluidly with market conditions—offering deeper insight into momentum flow and better timing for entries and exits.
Centered Oscillators
My script⯁ OVERVIEW
RSI Momentum Divergence Zones \ is a hybrid oscillator & chart overlay that detects RSI-based momentum divergences and projects them as key zones on your chart. By combining RSI divergence logic with horizontal level plotting, it reveals high-probability support and resistance areas where price has historically reacted to hidden or classic divergences.
⯁ KEY FEATURES
Momentum-Based RSI Source:
Automatic Divergence Detection (Optional):
Scans continuously for:
Bullish Divergence: Price ↓ makes Lower Low, RSI ↑ makes Higher Low
Bearish Divergence: Price ↑ makes Higher High, RSI ↓ makes Lower High
Validates divergences by ensuring pivot spacing is between 5–50 bars ⏱.
Divergence Labels & Markers (RSI Pane + Price Chart):
On the RSI pane: labels at HL/LH points (“Bull” / “Bear”), plus colored lines showing pivot structure
On the price chart: “▲ Bull” / “Bear ▼” mark the price pivot triggering divergence, with lines highlighting the divergence level.
Divergence Zones / Levels (Toggleable):
Projects horizontal zones based on confirmed divergence points—these act as dynamic S/R zones.
Zones extend rightward if respected; turn dashed and expire when price breaks them.
Zone Layering & Limit Control:
Option to limit number of zones shown (e.g., last 10), with older zones auto-expiring to declutter.
Color Customization & Intensity:
Choose different colors for bullish and bearish zones. Adjust background fill, line width, transparency for clarity.
Clean Zone Management (Arrays):
Utilizes custom `divLevel` arrays in the script for smooth plotting, extending, and removal of levels.
⯁ USAGE
Use bullish divergence zones as demand zones, bearish ones as supply zones.
Combine RSI pane labels with price-level zones to confirm reversal strength.
Monitor price approaching divergence zones to anticipate reactions or breakouts.
Use zones for trade triggers, stop-loss placement, or take-profit targets.
Reduce clutter using “Qty Divergence Zones” to limit signals.
Enable divergence detection when focusing on key structural zones—great for swing/positional setups.
⯁ CONCLUSION
RSI Momentum Divergence Zones \ blends oscillator divergence logic with price-action structure, uncovering hidden strength or weakness in the market. With flexible zone plotting and clean visual signals, this tool empowers traders to identify where momentum turns into structure—turning hidden signals into tradable edges.
With Emojis Added:
Overview: hybrid indicator that finds key zones where RSI and price diverge
Features: fresh visuals with labels, zones, automatic detection, and customization 🆙
Usage: trade smarter using demand/supply zones, triggers, and visual clarity 🎯
Conclusion: merge momentum and structure to spot hidden edges in the market ✨
RSI Momentum Divergence Zones [Mark804]Stop Second-Guessing—See Momentum Turn into Structure!
RSI Momentum Divergence Zones \
Lock in on turning points before they happen. This TradingView powerhouse transforms elusive RSI momentum divergences into bold, actionable zones—so you're always one step ahead of market swings.
Why It Stands Out
🔋 Momentum-Driven RSI:
Built on `ta.mom(close, 10)`, this isn’t your average RSI. It focuses on changes in acceleration—delivering *early, sharp divergence signals*.
🤖 Auto Divergence Detection:
Pinpoints:
Bullish divergence (price slides lower; RSI climbs)
Bearish divergence (price climbs, RSI turns down)
Each signal is confirmed via pivot spacing (5–50 bars) for confidence.
🎯 Visual Clarity:
RSI Pane: “Bull”/“Bear” labels and pivot lines
Price Chart: “▲ Bull” / “Bear ▼” markers plus horizontal level highlights
🔥 Dynamic Divergence Zones:
These aren’t static lines:
Zones stretch to the right while intact
Become dashed and expire when broken
—so you always know what structure is still valid.
🧹 Clean & Customizable:
Limit the number of zones (e.g., keep latest N only) to avoid clutter. Color, transparency, and line styling are fully adjustable—keep it clean and readable.
Why Traders Buzz About It
This tool bridges hidden momentum shifts and price structure—tracing where momentum actually* builds support or flips into resistance. It turns subtle RSI signals into visual, strategic edges. Perfect for swing and positional setups.
Let me know if you want to fine-tune the styling, integrate it into your chart layout, or craft a trading strategy around it!
Advanced Price Projection & Trend Channel(Mastersinnifty)Description
The Advanced Price Projection & Trend Channel Analyzer is a technical analysis tool designed to forecast potential future price levels using enhanced linear regression statistics. It provides forward-looking projections, confidence bands, and pivot detection to help traders visualize trend direction, potential price ranges, and trend strength.
How It Works
This indicator applies an enhanced linear regression model to historical price data to calculate:
Slope and intercept for the regression line
R-squared for trend reliability
Standard error for confidence band calculation
Pivot points using Z-score analysis
Future price projections are computed for multiple periods ahead, with upper and lower confidence bands. A built-in projection table displays key metrics such as current price, projections, R-squared value, trend strength, and the projected price range.
Inputs
Regression Length – Number of bars used in regression calculation
Future Projection Periods – How far ahead to project prices
Pivot Threshold Multiplier – Sensitivity for pivot detection
Custom Timeframe – Option to use a different timeframe for analysis
Confidence Band Multiplier – Width of projection confidence area
Show/Hide Options – Toggle trend channel, projection line, and pivots
Color Settings – Customize projection and channel colors
Use Case
Forecast potential future price targets based on current trend data
Identify probable high/low ranges using confidence bands
Gauge trend reliability with R-squared values
Spot potential reversal zones with pivot detection
Support swing trading, trend following, and technical forecasting strategies
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always perform your own analysis before making any trading decisions.
Comp Angle Flush in pinzoneThis indicator highlights a combination of continuation and reversals of trends.
You may use this to find entries on a pull back of a trend or to incorporate other elements such as pivots , session high/low for fading.
It is based on the Gaussian curve of distribution.
Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
RSI Momentum Divergence Zones [JohnHarry66]RSI Momentum Divergence Zones – Powerful RSI Divergence Indicator with Visual Zones
Discover RSI Momentum Divergence Zones , a dynamic trading tool that merges momentum-based RSI divergence detection with intuitive support and resistance zone plotting. Perfect for both trend followers and swing traders looking for sharper entry and exit cues.
Momentum‑Based RSI Source
Leveraging ta.mom(close, 10) instead of traditional RSI, the indicator homes in on momentum shifts—making divergence signals timelier and more actionable.
Automated Divergence Detection
Detects bullish divergence (price forms lower lows, RSI momentum forms higher lows) and bearish divergence (price forms higher highs, RSI momentum forms lower highs). Ensures accuracy by validating pivot spacing (5–50 bars).
Clear Visual Signals
RSI Pane: Labels “Bull” or “Bear” appear at relevant divergence pivots with connecting lines.
Chart Overlay: Price chart shows “▲ Bull” or “Bear ▼” markers, visually linking momentum shifts with price action.
Dynamic Divergence Zones
Plots horizontal zones on the chart that highlight past divergence levels. These zones extend dynamically as long as price respects them, and turn dashed once broken—providing clear visual cues for support/resistance dynamics.
Customizable and Manageable
Fine-tune colors, transparency, and line styling. Control how many divergence zones display at once (e.g., show only the 10 most recent) to reduce visual clutter.
Relative Strength Range RankRelative Strength Range Rank – Chart Asset vs. Benchmarks
Description:
This indicator calculates and ranks the relative strength position of the current chart’s asset against up to five user-defined comparison symbols. By default, the comparison set is USDT.D, USDC.D and DAI.D.
Calculation method:
The same oscillator calculation is applied identically to the current chart’s asset and all comparison symbols:
For each symbol:
Determine the lowest low over LOWEST bars.
Determine the highest high over HIGHEST bars.
Calculate normalized position within range:
raw_osc = (close - lowest_low) / (highest_high - lowest_low) * 100
Apply a 10-period EMA to smooth raw_osc.
Invert and scale to match assets direction:
raw_osc = 100 - EMA_10(raw_osc)
Apply weighted smoothing:
smoothed = 0.191 * previous_value + 0.809 * current_value
Apply a final 1-period EMA to reduce jitter.
Output is the inverted smoothed oscillator value, representing the relative strength rank.
This function is implemented as calculate_oscillator() and used for all input symbols plus the current chart symbol, ensuring consistency in comparative analysis.
Plotting:
Each comparison symbol oscillator is plotted in the indicator pane.
The current chart oscillator is always plotted in black.
Alert condition:
Boolean chart_osc_above_all is true when the current chart oscillator is strictly greater than all other comparison oscillator values.
The alert chart_osc_crossed_above triggers only on the first bar where chart_osc_above_all changes from false to true.
Smoothing advantage:
The smoothing sequence (EMA → weighted smoothing → EMA) is designed to reduce short-term noise while preserving responsiveness to changes in price position.
The initial EMA(10) filters random fluctuations.
The weighted smoothing step (0.191 * prev + 0.809 * current) reduces overshoot and dampens oscillations without introducing significant lag, unlike longer EMAs.
The final EMA(1) step ensures stability in the plotted oscillator without visible jaggedness.
This combination yields a signal that is both smooth and reactive, making relative strength comparisons more precise.
Inputs:
Sym 1–5: up to five comparison tickers.
Lowest low lookback period ( LOWEST ).
Highest high lookback period ( HIGHEST ).
Color for plotted comparison lines.
Output:
Oscillator values from 0 to 100, where higher values indicate that the asset’s current price is closer to the highest high of the lookback period, and lower values indicate proximity to the lowest low.
Sorted table showing all selected assets ranked by oscillator value.
Optional alert when the current chart asset leads all selected assets in oscillator value.
Short Description:
Computes range-normalized oscillator values for the chart asset and up to 5 symbols, using EMA and weighted smoothing to reduce noise while preserving responsiveness; optional alert when the chart asset exceeds all others.
Quant Signals: Econophysics-based MomentumPhysical Momentum Switcher (p0 / p1 / p2 / p3)
This indicator implements a “physical momentum” concept from quantitative finance research, where momentum is defined similarly to physics:
Momentum (p) = Mass × Velocity
Instead of using only the standard cumulative return (classic momentum), it lets you switch between multiple definitions:
p0: Cumulative return over the lookback period (no mass, just price change).
p1: Sum of (mass × velocity) over the lookback period.
p2: Weighted average velocity = (Σ mass×velocity) ÷ (Σ mass).
p3: Sharpe-like momentum = average velocity ÷ volatility (massless).
Velocity can be measured as:
Log return: ln(Pt / Pt-1)
Normal return: (Pt / Pt-1 – 1)
Mass (for p1/p2) can be defined as:
Unit mass (1) — equal weighting, equivalent to traditional momentum.
Turnover proxy — Volume ÷ average volume over k bars.
Value turnover proxy — Dollar volume ÷ average dollar volume.
Inverse volatility — 1 ÷ return volatility over a specified period.
Features:
Switchable momentum definition, velocity type, and mass type.
Adjustable lookback (k) and smoothing period for the signal line.
Optional ±1σ display bands for quick overbought/oversold visual cues.
Alerts for crosses above/below zero or the signal line.
Table display summarizing current settings and values.
Typical uses:
Momentum trading: Buy when PM > 0 (or crosses above the signal), sell/short when PM < 0 (or crosses below).
Contrarian strategies: Reverse the logic when testing mean-reversion effects.
Cross-asset testing: Apply to different instruments to see which PM definition works best.
THE TRINTY - Multi-Timeframe MACD Alignment (Single Alert)Analyzes up to 3 timeframes at the same time waiting for MACD alignment plus determines when it's very bullish, very bearish, or just mixed. Ideal for traders who only want to trade in high probability markets to increase your chances at success. Also, there's only 1 single alert system that you can set for each pair making things much easier instead of setting separate bullish and bearish alerts like most other indicators.
Pre-Pump/Crash Predictor with ZigZag - PJay777The "Pre-Pump/Crash Predictor with ZigZag" indicator designed to identify potential price pumps (upward movements) and crashes (downward movements) using the MACD (Moving Average Convergence Divergence) indicator combined with an EMA (Exponential Moving Average) trend filter. It provides visual signals on the chart and includes alert conditions for real-time notifications.
Key Components:
MACD Calculation:
Uses customizable fast (default: 12), slow (default: 26), and signal (default: 13) lengths to compute the MACD line, signal line, and histogram.
The MACD is plotted as blue (MACD line) and orange (signal line) for visual reference.
EMA Trend Filter:
A 200-period EMA (customizable) acts as a trend confirmation to filter signals, ensuring alignment with the broader market trend.
Signal Logic:
Pump Signal: Triggered when the MACD line crosses above the signal line (bullish crossover). If "Strict Filters" is enabled, it also requires a positive histogram and the price being above the EMA.
Crash Signal: Triggered when the MACD line crosses below the signal line (bearish crossunder). With strict filters, it requires a negative histogram and the price below the EMA.
Signals are plotted as green triangles (pump) below bars and red triangles (crash) above bars.
Debug Mode:
Optional debug labels display MACD, signal, histogram values, and crossover type on the last bar for troubleshooting.
Alerts:
Configurable alerts for pump ("MACD crossover: Potential pump!") and crash ("MACD crossunder: Potential dump!") signals.
Rank Correlation Index (RCI) with EMA [Point Algo]📌 Rank Correlation Index (RCI) with EMA – Spot Overbought & Oversold Zones with Ease
This tool helps traders quickly identify overbought and oversold market conditions, along with potential momentum shifts.
How to use:
Above 80 → Overbought zone – watch for pullback or reversal.
Below -80 → Oversold zone – watch for bounce or reversal.
Crossing above 0 → Possible bullish momentum.
Crossing below 0 → Possible bearish momentum.
Who is it for?
✅ Day traders spotting intraday reversals
✅ Swing traders timing entries & exits
✅ Beginners wanting a simple, visual market strength tool
💡 Works on stocks, forex, crypto, and indices. Use alone or with other confirmations like support/resistance.
SMT Oscillator: Smarter Money Divergence Detector [PhenLabs]📊Phenlabs - SMT Oscillator: Smarter Money Divergence Detector
Version: PineScript™v6
📌Description
The SMT Oscillator is a sophisticated tool designed to identify smart money divergence between two correlated assets. By analyzing the momentum and volume-weighted price action of a primary and secondary symbol, traders can spot subtle shifts in market dynamics that often precede significant price movements. This indicator is built to provide a clearer, more filtered view of inter-market relationships, solving the common problem of false signals and market noise. Its primary purpose is to equip traders with a quantifiable edge in detecting potential reversals or continuations that are not obvious on a standard price chart.
🚀Points of Innovation
Dual-Symbol Divergence Core: Directly compares momentum (RSI or MACD) between two user-selected symbols to pinpoint true SMT divergence.
Volume-Weighted Analysis: Integrates volume delta into the divergence calculation, giving more weight to moves backed by significant market participation.
Entropy Filter for Noise Reduction: Employs an entropy calculation to filter out low-quality signals during choppy or consolidating market conditions.
Predictive Forecast Line: Utilizes a linear regression model to project the oscillator’s future trajectory, offering a forward-looking glimpse of potential momentum shifts.
Customizable Signal Sensitivity: Allows fine-tuning of overbought and oversold levels to adapt to different market volatilities and trading styles.
Integrated Signal Alerts: Provides built-in alerts for bullish/bearish zero crosses and overbought/oversold conditions.
🔧Core Components
Momentum Engine: The user can select either RSI or MACD as the underlying engine for the divergence calculation, allowing for flexibility in analysis.
Normalization Function: Price data from both symbols is normalized using percentage change to ensure a true “apples-to-apples” comparison, regardless of their nominal price differences.
Divergence Calculator: The core algorithm that subtracts the secondary symbol’s momentum from the primary’s and normalizes the result using the combined standard deviation.
Smoothing Mechanism: An Exponential Moving Average (EMA) is applied to the raw oscillator output to reduce choppiness and provide a clearer signal line.
🔥Key Features
Multi-Asset Comparison: Go beyond single-asset analysis by comparing correlated pairs like ES/NQ or BTC/ETH to uncover hidden trading opportunities.
Heatmap Visualization: An optional heatmap mode provides an intuitive visual representation of divergence strength, making it easier to gauge market sentiment at a glance.
Configurable Lookback and Timeframe: Adjust the lookback period and analysis timeframe to suit your specific strategy, from short-term scalping to long-term trend analysis.
Signal Markers: Visual markers are plotted directly on the chart for bullish and bearish zero-line crossovers, providing clear entry and exit signals.
🎨Visualization
SMT Oscillator Line: The primary visual element, colored blue for bullish (positive) divergence and orange for bearish (negative) divergence.
Zero Line: A solid horizontal line at the zero level, indicating the equilibrium point between the two assets. Crossovers of this line signal a shift in relative strength.
Overbought/Oversold Zones: Dotted lines at the +80 and -80 levels (customizable) that highlight extreme divergence readings, often indicating potential exhaustion points.
Forecast Line: A predictive line that plots the anticipated path of the oscillator, giving traders an advanced warning of potential changes in momentum.
📖Usage Guidelines
Setting Categories
Primary Symbol
Default: (Chart Symbol)
Description: The main asset you are analyzing. Leave blank to use the symbol currently on your chart.
Secondary Symbol
Default: CME_MINI:ES1! (used with NASDAQ futures due to inherent heavy correlation
Description: The asset to compare against the primary symbol.
Lookback Period
Default: 14
Range: 8-100
Description: Controls the calculation window for momentum (RSI/MACD). Higher values result in a smoother, less sensitive oscillator.
Divergence Type
Default: RSI
Options: RSI, MACD
Description: Choose the momentum indicator to use for the divergence calculation.
Enable Volume Weighting
Default: true
Description: When enabled, gives more weight to divergence signals that are accompanied by significant volume.
✅Best Use Cases
Identifying high-probability reversal points by spotting divergence in overbought or oversold territory.
Confirming the strength of a trend by observing sustained positive or negative divergence.
Pairs trading by taking a long position on the outperforming asset and a short position on the underperforming one during a divergence.
Risk management by recognizing when a current trend is losing its underlying momentum.
⚠️Limitations
Requires Correlated Assets: The indicator’s effectiveness is highly dependent on the selection of two assets with a known correlation (e.g., ES and NQ).
Not a Standalone System: Divergence signals should be used in conjunction with other forms of analysis (price action, market structure) and not as a complete trading system.
Lagging by Nature: As it is based on moving averages and past price data, the oscillator is inherently lagging and may not capture all rapid price changes.
💡What Makes This Unique
Combined Momentum & Volume: Unlike standard oscillators, it fuses momentum with volume delta for a more robust “Smart Money” perspective.
Noise-Filtering Mechanism: The proprietary entropy filter is a unique feature designed to weed out insignificant market chatter and focus on high-conviction signals.
🔬How It Works
Data Normalization:
The script first normalizes the price data of the two selected symbols into percentage changes. This ensures that the comparison is fair, regardless of the difference in their price scales.
Momentum Calculation:
It then calculates the chosen momentum value (either RSI or MACD histogram) for each of the normalized price series.
Divergence Computation:
The core of the indicator lies in subtracting the momentum of the secondary symbol from the primary one. This raw divergence is then optionally weighted by volume and filtered for market noise (entropy) to produce the final oscillator value.
💡Note:
For best results, use this indicator on adequate timeframes to filter out market noise. Always confirm signals with price action analysis before entering a trade.
MACD histogram compressedFor the record, the MACD histogram measures the distance between MACD and signal lines .
MACD histogram simplified
This script minimizing the display of this information ("compressing") by plotting the cumulative number iterations over MACD histogram in one way or another, which in turn also reflects the distance described above.
If the histogram keeps moving in one direction (green is up, red is down), this script sums the increase over the price plot.
Maximum is 9 (trading view char plot limitation), minimum is 1.
See also my "Higher Timeframe MACD blocks w/ compressed histogram indicator".
Unicorn Model[Pro++]by Triummthis is indicator unicorn model have function breaker block and inside the boc have Show %buyer/seller display and also have stregh score RAting 1-100% insdie that to make more confident forr entry to see that breaker block valid or not valid
fvg and ifvg bpr aslo have in that detect clean and look good
stop hunt show swing pd arrray
///////////////////////////
have dahboard to see dialy bias pair that smt what that and show dd/mm/yy
and have line key level in that indicator
if have something error pls cmm i gonna fix that
GMO The GMO is a multi-component confluence oscillator that helps traders visualise when several momentum and trend conditions align.
It blends an EMA trend filter, RSI bias, MACD histogram direction, and Stochastic RSI crossovers, with the option to add Fibonacci retracement proximity for additional confidence.
When multiple conditions agree, combined visual markers (triangle + emoji) appear above or below price, and background shading reflects bullish or bearish momentum. Supporting plots display MACD histogram bars, RSI, Stochastic RSI lines, and the chosen Fibonacci level, allowing quick confirmation at a glance.
This tool is best used as part of a broader confluence-based strategy and should be paired with independent analysis and risk management.
SMI Base-Trigger Bullish Re-acceleration (Higher High)Description
What it does
This indicator highlights a two-step bullish pattern using Stochastic Momentum Index (SMI) plus an ATR distance filter:
1. Base (orange) – Marks a momentum “reset.” A base prints when SMI %K crosses up through %D while %K is below the Base level (default -70). The base stores the base price and starts a waiting window.
2. Trigger (green) – Confirms momentum and price strength. A trigger prints only if, before the timeout window ends:
• SMI %K crosses up through %D again,
• %K is above the Trigger level (default -60),
• Close > Base Price, and
• Price has advanced at least Min ATR multiple (default 1.0× the 14-period ATR) above the base price.
A dashed green line connects the base to the trigger.
Why it’s useful
It seeks a bullish divergence / reacceleration: momentum recovers from deeply negative territory, then price reclaims and exceeds the base by a volatility-aware margin. This helps filter out weak “oversold bounces.”
Signals
• Base ▲ (orange): Potential setup begins.
• Trigger ▲ (green): Confirmation—momentum and price agree.
Inputs (key ones)
• %K Length / EMA Smoothing / %D Length: SMI construction.
• Base when %K < (default -70): depth required for a valid reset.
• Trigger when %K > (default -60): strength required on confirmation.
• Base timeout (days) (default 100): maximum look-ahead window.
• ATR Length (default 14) and Min ATR multiple (default 1.0): price must exceed the base by this ATR-scaled distance.
How traders use it (example rules)
• Entry: On the Trigger.
• Risk: A common approach is a stop somewhere between the base price and a multiple of ATR below trigger; or use your system’s volatility stop.
• Exits: Your choice—trend MA cross, fixed R multiple, or structure-based levels.
Notes & tips
• Works best on liquid symbols and mid-to-higher timeframes (reduce noise).
• Increase Min ATR multiple to demand stronger price confirmation; tighten or widen Base/Trigger levels to fit your market.
• This script plots signals only; convert to a strategy to backtest entries/exits.
OctaScalp Precision Pro [By TraderMan]What is OctaScalp Precision Pro ? 🚀
OctaScalp Precision is a powerful scalping indicator designed for fast, short-term trades. It combines eight technical indicators to generate 💪 high-accuracy buy 📗 and sell 📕 signals. Optimized for scalpers, this tool targets small price movements in low timeframes (1M, 5M). With visual lines 📈, labels 🎯, and Telegram alerts 📬, it simplifies quick decision-making, enhances risk management, and tracks trade performance.
What Does It Do? 🎯
Fast Signals: Produces reliable buy/sell signals using a consensus of eight indicators.
Risk Management: Offers automated Take Profit (TP) 🟢 and Stop Loss (SL) 🔴 levels with a 2:1 reward/risk ratio.
Trend Confirmation: Validates short-term trends with a 30-period EMA zone.
Performance Tracking: Records trade success rates (%) and the last 5 trades 📊.
User-Friendly: Displays market strength, signal type, and trade details in a top-right table.
Alerts: Sends Telegram-compatible notifications for new positions and trade results 📲.
How Does It Work? 🛠️
OctaScalp Precision integrates eight technical indicators (RSI, MACD, Stochastic, Momentum, 200-period EMA, Supertrend, CCI, OBV) for robust analysis. Each indicator contributes 0 or 1 point to a bullish 📈 or bearish 📉 score (max 8 points). Signals are generated as follows:
Buy Signal 📗: Bullish score ≥6 and higher than bearish score.
Sell Signal 📕: Bearish score ≥6 and higher than bullish score.
EMA Zone 📏: A zone (default 0.1%) around a 30-period EMA confirms trends. Price staying above or below the zone for 4 bars validates the direction:
Up Direction: Price above zone, color green 🟢.
Down Direction: Price below zone, color red 🔴.
Neutral: Price within zone, color gray ⚪.
Entry/Exit: Entries are triggered on new signals, with TP (2% profit) and SL (1% risk) auto-calculated.
Table & Alerts: Displays market strength (% bull/bear), signal type, entry/TP/SL, and success rate in a table. Telegram alerts provide instant notifications.
How to Use It? 📚
Setup 🖥️:
Add the indicator to TradingView and use default settings or customize (EMA length, zone width, etc.).
Best for low timeframes (1M, 5M).
Signal Monitoring 🔍:
Check the table: Bull Strength 📗 and Bear Strength 📕 percentages indicate signal reliability.
Confirm Buy (📗 BUY) or Sell (📕 SELL) signals when trendSignal is 1 or -1.
Entering a Position 🎯:
Buy: trendSignal = 1, bullish score ≥6, and higher than bearish score, enter at the entry price.
Sell: trendSignal = -1, bearish score ≥6, and higher than bullish score, enter at the entry price.
TP and SL: Follow the green (TP) 🟢 and red (SL) 🔴 lines on the chart.
Exiting 🏁:
If price hits TP, trade is marked ✅ successful; if SL, marked ❌ failed.
Results are shown in the “Last 5 Trades” 📜 section of the table.
Setting Alerts 📬:
Enable alerts in TradingView. Receive Telegram notifications for new positions and trade outcomes.
Position Entry Strategy 💡
Entry Conditions:
For Buy: Bullish score ≥6, trendSignal = 1, price above EMA zone 🟢.
For Sell: Bearish score ≥6, trendSignal = -1, price below EMA zone 🔴.
Check bull/bear strength in the table (70%+ is ideal for strong signals).
Additional Confirmation:
Use on high-volume assets (e.g., BTC/USD, EUR/USD).
Validate signals with support/resistance levels.
Be cautious in ranging markets; false signals may increase.
Risk Management:
Stick to the 2:1 reward/risk ratio (TP 2%, SL 1%).
Limit position size to 1-2% of your account.
Tips and Recommendations 🌟
Best Markets: Ideal for volatile markets (crypto, forex) and low timeframes (1M, 5M).
Settings: Adjust EMA length (default 30) or zone width (0.1%) based on the market.
Backtesting: Test on historical data to evaluate success rate 📊.
Discipline: Follow signals strictly and avoid emotional decisions.
OctaScalp Precision makes scalping fast, precise, and reliable! 🚀
MACD (Panel) with Histogram-Confirmed Signals - Middle LineMacd indicator with buy and sell signals to help spot the macd signal crossover and histogram
Hurst Cycle Projections & Market Phase Analyzer(Mastersinnifty)Description
The Hurst Cycle Projections & Market Phase Analyzer is a technical analysis tool designed to detect dominant market cycles, project potential future price paths, and identify prevailing market phases. Using the Hurst exponent, harmonic cycle analysis, and trend strength evaluation, it provides traders with visual cycle channels, forward projections, and an at-a-glance market condition table.
This indicator is ideal for traders who want to combine cycle theory with trend analysis for timing entries, exits, and managing risk.
How It Works
Calculates the Hurst exponent to determine whether the market is trending or mean-reverting.
Identifies the dominant cycle length using pivot-based cycle detection.
Generates a cycle price channel to frame current market action.
Performs harmonic analysis to track multiple related cycles.
Projects future price levels based on cycle phase, trend strength, and mean reversion tendencies.
Displays a summary table with Hurst exponent, cycle length, trend strength, cycle phase, and market state.
Includes alerts for Hurst exponent crossovers and cycle turning points.
Inputs
Cycle Analysis Length – Number of bars used for cycle detection and Hurst exponent calculation.
Projection Bars – Number of future bars to project prices.
Show Cycle Lines – Toggle visibility of cycle markers.
Show Price Projections – Enable/disable forward price lines.
Show Cycle Channel – Display cycle-based price channel.
Cycle Sensitivity – Adjust responsiveness of cycle detection.
Colors – Customize cycle, projection, and channel colors.
Use Case
Identify whether the market is currently trending or mean-reverting.
Anticipate potential price turning points based on cycle phases.
Project possible future price levels for trade planning.
Spot trend strength and direction within the context of cycles.
Assist in swing trading, position trading, or long-term analysis.
Disclaimer
This indicator is for educational and analytical purposes only. It does not constitute financial advice. Trading in financial markets involves risk, and past performance is not indicative of future results. Always use proper risk management and consult with a licensed financial professional before making investment decisions.
Kripton BotEnglish
Buy-Sell Indicator of the YouTube Channel Kripton Gezegeni
Generates buy signals based on CCI and RSI. The sell point is manually set within the indicator. After a buy signal, when the price reaches your target level, a sell signal will be generated. Works in all market trends. Stops generating buy signals during downtrends. Increases buy signals during uptrends and sideways markets. Works with Crypto/Stocks/Forex assets. Works on charts with a minimum timeframe of 5 minutes. As you increase the timeframe, the target level can also be increased. For more reliable results, it is recommended to use it on charts with a minimum timeframe of 30 minutes.
Usage Details:
Inputs:
CCI Length: Can be adjusted between 3–30. Higher numbers produce fewer signals.
RSI Length: Can be adjusted between 1–30. Higher numbers produce fewer signals.
Sell Target Type: The point at which sell signals will be generated. If your target is, for example, above 0.50%, select “Percentage.” If your target is, for example, $10 above, select “Dollar.”
Sell Target (%): If “Percentage” is selected, set your target here. Example: 0.50%.
Sell Target ($): If “Dollar” is selected, set your target here. Example: $1.
Stop Loss Type: Select the type of stop loss point. If “Percentage” is selected, the stop loss will be in percentage form. If “Dollar” is selected, the stop loss will be in dollar value.
Stop Loss (%): If “Percentage” is selected, set your stop loss here. Example: 3%.
Stop Loss ($): If “Dollar” is selected, set your stop loss here. Example: $10.
(Usually “Dollar” is used for Forex assets, and “Percentage” is used for Crypto assets.)
Style:
Shapes – Green – Up Label – Below Bar
Shapes – Green – Up Label – Below Bar
Shapes – Red – Down Label – Above Bar
Shapes – White – Down Label – Above Bar
Shapes – Red – Down Label – Above Bar
Shapes – White – Down Label – Above Bar
Sensitivity: Default
Backtest:
Example: CCI Length = 3, RSI Length = 1. Sell target type = “Dollar,” Sell Target ($) = 2$. Stop Loss type = “Dollar,” Stop Loss ($) = 10$. In this case, the chart will be analyzed. Each Buy signal followed by a Sell signal is considered a successful trade. However, if there is a Stop Loss signal after a Buy signal, the trade is considered stopped out. If you want to widen the stop loss, you can set Stop Loss ($) to 20$. If you don’t want to use a stop loss, you can set Stop Loss ($) to 9999999$.
Good profits to you...
Flush with MOMO (repost)The Flush indicator highlights the possible turn of the market cyclical distribution , when a flush takes places within a pinzone there is a higher probability of the arrival of an informed trader. It can lead to a turn in price and if the flush fails it is also a high probability trade to buy/sell for continuation of the market cycle extending.
It is best to use this indicator with the spectrometer to fully understand the concept and to verify the flush as the flush has multiple nuances which can not be coded due to situational differences.
The momentum paddles of the indicator are based on 2 candle pullback which has failed to turn the gaussian cycle so it is unlikely that the price will keep turning so the continuation of the previous move is more probable.
You can change the timeframe of the indicator to track different time frame signals if desired.
