GA - Momentum DivergencesGA Momentum Divergences Script highlights Trend Strength, Overbought-Oversold Conditions, Regular-Hidden Divergences. Besides, it shows the Buying-Selling Pressure.
The practical use of any Momentum Curve helps in the comprehension of:
Supply-Demand Absorption.
Thrusts and their shortening.
The reversing and the continuation of the trend.
True Strength of the Trend.
Price Strength.
Increase and Decrease in Buying-Selling Pressure.
You choose which curve to show, according to your needs. There are 2 groups of curves.
Momentum Curves
GA Momentum.
Commodity Channel Index ( CCI ).
Relative Strength Index ( RSI ).
Stochastic %K.
True Strength Indicator ( TSI ).
Money Flow Curves
GA Money Flow.
Chaikin Money Flow.
Money Flow Index.
Every Curve used in this script has 0 as center. This means that RSI and Stochastic Curves wave around 0 and not around 50.
Fractal Algorithm for Pivots and Divergences
GA Momentum script highlights Divergences. This is possible by the Fractal Calculation of Pivot Points .
The sensibility of the algorithm depends on the look back and on the look forward of pivot points . This means that it does not highlight every divergence. But it marks divergences according to settings.
Besides, the interpretation of those divergences depends on the experience of the trader.
This feature has a particular use for the purpose to simplify and optimize. Besides, it is a very important feature provided by the GA Money Flow script.
Regular and Hidden Divergences highlight the weakening and strengthening of the price behavior. They give an anticipation to price changing. Besides, they enforce the judgment on the condition that marks the price continuation.
The Fractal Algorithm can also mark a Channel. This happens enveloping the Curve between its marked pivot points .
Flags and lines mark Divergences in the Curve. GA Momentum Divergences highlights Regular Divergences and Hidden Divergences.
Price and Momentum, Volume and Money Flow
The GA Momentum script works with any marketplace. It uses price variations and volume variations, according to needs and market.
Every curve available in the script is a mathematical discretization of the market. But in those marketplaces that includes the volume you can use Money Flow Curves. Where the volume is missing the Money Flow Curves return zero. In this case, a Momentum Curve is the right choice because it uses the price variations.
GA Momentum and GA Money Flow are formulas built for this script. They include several peculiarities that are a privilege of other functions. This gives a better visual impact by their practical use.
TSI Curve or RSI Curve are the right choices to replace Money Flow Curves where the volume is not available. In the same way, RSI Curve can replace the TSI Curve for the Trend Strength. Then, the RSI Curve is universal. It works on any marketplace giving a lot of information, using it in the right way.
RSI is a slow curve. It waves above and below the middle line, according to the bullish and bearish trend . This is why it incorporates the Trend Strength in its calculation.
Instead, other choices give Faster Momentum Curves that give different advantages and peculiarities. The final result and purpose do not change.
Market Conditions
Overbought and Oversold Conditions could not cause the immediate reversing of the trend. The changing occurs according to Thrusts and their shortening.
This happens by one or more rebounds in the price action. Indeed, this marks hesitation to continue the advancing or the declining of the price.
The Momentum Curve can highlight the absorption of Supply Pressure and Supporting Demand. This precedes the Climactic Point so as a Thrust during the advancing or declining of the price.
True Strength and Money Flow curves follow the trend. They show where the trend is weakening or strengthening.
When these curves rise together with the trend, this confirms the trend. Instead, when these curves hesitate, they are marking a changing.
TSI and Money Flow have advantages. They show the continuation of the trend by its positive or negative value. Besides, they show the shortening of the trend. Moreover, the curve anticipates the shortening of the thrust.
Money Flow Curves highlights the prevailing of Buying Pressure of Selling Pressure. This is possible because their formulas includes the volume . But the TSI discretization that uses prices, works giving a fair result.
This returns an unconditional conclusion. The volume has a high relevance because of the correlation between effort and result. But despite this, the mathematical discretization of the market can work without it.
Short and Long Signal Lines
The GA Momentum plots 2 extra curves to support the market momentum interpretation. They are Exponential Moving Average applied to the momentum curve.
The Short Signal Line follows the main curve and it gives the first crossing for an entry signal. Of course, this is useful only when there are the right condition for an entry point.
Instead, the Long Signal Line exists to be a trending indicator. When the main curve is approaching it, rebounds, the shortening of the thrust, can mark a changing. Following the thrust, these curves become closer and closer for some waves. This becomes better visible by the plotting of the Histogram.
The Histogram shows the difference between the main curve and the Long Signal Line. The distance between those curves becomes relevant and helpful in many circumstances. This highlights the changing in the Strength or Weakness of the trend.
Short and Long Signal Curves can have a partial plotting. This reduces the impact of those curves on screen. The script can show them only when they give a relevant visual impact for the trading practice.
Coloring
GA Momentum Script colors curve and price bars. It highlights conditions where the price is Overbought or Oversold. But it highlights also divergences with labels and colored lines.
The script plots colors on bars with extended prices. Besides, the script plots colors on bars that are the ending of divergences
GA Momentum script colors the price bars using the same criteria applied to color curves. Color used on the Curve are the same used on the price bars.
True Strength Curve and Momentum Curves color price bars. This happens for the entire Trend Strength. Then the prevailing of the Buying Pressure or Bearish Pressure is also visible on bars. This occurs by the persistent green or red colors according to Pressure and Trend.
Alerts
GA Momentum provides 2 alerts for Bearish and Bullish Signals. Both uses the crossing of Short and Long Signals in the same direction.
Note: I restrict access to the tool.
Regards
Girolamo Aloe
Founder of Profiting Me
Komut dosyalarını "momentum" için ara
ZenTrading Momentum_v3.1This is a script for beta testing only.
wave momentum oscillator, with volatility and divergence detection and short term and long term reversal signals reversal signals. Mainly used to signal reversals (major and minor), to be used in conjunction with Trend, CyclePhase and Volume indicators
Pulse Profits+ Study v2.0Here is the updated version of our Pulse Profits+ study based on the combination of the Chande Momentum Oscillator and Elder's Force Index . This version was updated to include stop-loss and improved signals
Red background highlights mark sell signals and green highlights represent buy signals. All signals are accompanied by corresponding alerts that can be tailored for the various automated trading platforms.
All indicators can be found on our website in the bio and come with their strategy equivalents
MasterEdge v4 — Trend & Momentum Presets with Filters & ATR RiskMasterEdge v4 — Trend & Momentum with Filters & ATR Risk
MasterEdge v4 is a multi‑timeframe trend and momentum indicator designed to help you stay on the right side of the market while controlling risk. It combines two classic signal engines—Donchian channel breakouts (à la Turtle Traders) and moving‑average crosses—with a suite of filters and risk tools to reduce false signals and keep you disciplined.
## Core features
- **Auto/manual presets:** Automatically adjusts look‑back lengths and thresholds based on the instrument (crypto, forex, indices, etc.) and chart timeframe, or lets you set them manually.
- **Higher‑timeframe bias:** Uses a non‑repainting higher‑timeframe EMA to determine whether the market is trending up or down and gates signals accordingly. You can choose the HTF yourself or let the auto‑engine pick one.
- **Dual signal modes:**
- *Donchian (Turtle)* mode enters on breakouts of an N‑bar channel and exits on a shorter channel.
- *MA Cross* mode buys when a fast EMA/SMA crosses above a slow EMA/SMA and sells on the opposite cross.
- **Advanced filters:** RSI momentum and ADX trend‑strength filters help avoid trades during choppy conditions. Optional volume and HTF‑slope filters require participation and higher‑timeframe momentum. A configurable **quality score** combines these filters so you only take higher‑probability setups.
- **ATR risk rails & position sizing:** Visual stop‑loss and target rails are calculated from ATR to adapt to volatility. An optional position‑size suggestion uses your account size and risk percentage to estimate how much to trade (for informational purposes only).
- **Session gating & status table:** Restrict signals to specific trading sessions. A live table shows your current settings, filter status, quality score and recommended position size, so you always know why a signal fired—or didn’t.
- **Alerts:** Separate long and short alerts with static JSON payloads let you hook the indicator into your notification or webhook workflow.
## How to use
1. **Select auto or manual:** Use the *Preset Mode* input. Auto mode adjusts lengths and thresholds to the ticker and timeframe; manual mode lets you set them explicitly.
2. **Choose a signal mode:** Pick between Donchian breakout or MA cross. Donchian is often better for lower‑timeframe breakouts; MA crosses smooth out noise on higher timeframes.
3. **Enable filters:** Turn on RSI, ADX, volume and/or slope filters and set your desired quality‑score threshold. Higher thresholds yield fewer, cleaner signals.
4. **Define risk:** If you want visual risk guides and position‑size suggestions, leave ATR rails on and input your account size, risk percentage and value per point.
5. **Timeframe pairing:** For intraday trading, try a 5 min chart with a 60 min bias; for swing trading, use a 1 h chart with a 4 h bias. The auto‑engine selects sensible higher‑timeframe defaults, but you can override them.
6. **Confirm signals:** The indicator plots green triangles below bars for long signals and red triangles above bars for short signals. The status table updates each bar with filter states and whether a signal is active.
**Disclaimer:** This script is for educational and analysis purposes only and is not financial advice. Always test on a demo account before trading live and tailor the settings to your strategy, risk tolerance and market behaviour.
RS Stock + Chart Pattern Pine ScreenerThis script is a comprehensive stock screener & pattern detector based on Mark Minervini’s Trend Template, enhanced with breakout detection, range tightening indicator (RTI), ATH tracking, and flag pattern recognition. It’s designed to help traders quickly identify high-potential trend setups on any timeframe.
🔑 Features
✅ Minervini Trend Template (8 Core Rules)
Implements the well-known Minervini checklist used by top momentum traders:
Price above the 150 & 200 SMA
150 SMA above 200 SMA
200 SMA trending up for at least 1 month
50 SMA above both 150 & 200 SMA
Price above 50 SMA
Price at least 25% above 52-week low≈
Price within 25% of 52-week high
RS Rating (relative strength) above 70
📉 Range Tightening Indicator (RTI)
Detects volatility contractions that often precede explosive moves.
📈 Breakout & Breakdown Finder
Detects pivot breakouts and breakdowns using highs/lows tests.
🏆 All-Time High Tracker
Find the stock’s all-time high (ATH).
🚩 Bull & Bear Flag Detection
Identifies bullish and bearish flag patterns based on pole strength, pullback depth, and consolidation length.
Automatically find the flags on your screener.
YBL_LUXE — Squeeze Momentum (Panel + Pinta Velas) v1.0📌 Description of the indicator: YBL_LUXE — Squeeze Momentum Panel
The YBL_LUXE Squeeze Momentum Panel is an advanced tool that combines momentum analysis with a squeeze detector, giving traders a precise view of when the market is contracting and when it may explode into strong directional moves.
🔎 How it works
Momentum Histogram:
Green/Blue bars → Strong bullish pressure.
Red/Orange bars → Strong bearish pressure.
Fading colors → Weakening momentum.
Squeeze ON/OFF signals:
Black dots (ON) → Market is in compression (Bollinger Bands inside Keltner Channels).
Yellow dots (OFF) → Compression is released, possible breakout coming.
⚡ Key Benefits
Detects accumulation phases and breakout conditions.
Highlights true momentum and filters noise.
Clean and professional design, fully customizable.
Works on any asset or timeframe (stocks, indices, futures, forex, crypto).
🎯 Trading Tips
Watch for Squeeze ON (black dots) → the market is storing energy.
When dots switch to Squeeze OFF (yellow) → watch for a potential breakout.
Confirm direction with histogram colors:
Green/blue = bullish bias.
Red/orange = bearish bias.
🛠️ Settings & Customization
Adjustable histogram colors.
Squeeze dots ON/OFF colors.
Zero line visibility.
Histogram style customization.
👉 Ideal for scalping, day trading, and swing trading, this indicator gives you a powerful visual confirmation of market compression and expansion phases.
SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
Marcius Studio® - Trend Detector™Trend Detector™ — is an advanced trend detection indicator that combines statistical Z-Score analysis with a simplified ADF stationarity test .
It is designed to help traders identify strong directional moves while filtering out noise and false signals.
Unlike traditional moving average crossovers or momentum oscillators, this tool evaluates both trend direction and trend strength , giving you a clear visual overview of market conditions.
Important! This indicator is intended for educational and informational purposes . It does not guarantee future performance and should be used together with proper risk management.
Idea
Markets spend 70–80% of the time in consolidation and only 20–30% in trending phases . The key to profitable trading is spotting when a major trend shift begins. Trend Detector™ was built exactly for this purpose — to filter noise and highlight true trend reversals.
How It Works
Calculates the Z-Score of price to detect extreme deviations from the mean.
Applies a simplified ADF t-Statistic test to confirm trend validity.
Uses an ATR-based ribbon for clean visualization of bullish/bearish phases.
Generates Buy/Sell signals when trend switches are confirmed.
Displays an Info Panel with real-time metrics: Z-Score, ADF t-Stat, Trend Strength (0–100), ATR % of price.
Features
Trend Ribbon : visually highlights bullish, bearish, or neutral phases.
Confirmation Filter : avoids false flips by requiring multiple bars of validation.
Strength Score : quantifies how powerful the current trend is.
Signal Markers : “BUY” and “SELL” alerts appear directly on the chart.
Customizable Alerts : get notified when new uptrends or downtrends are detected.
Recommendations
Works well on swing trading timeframes (1H, 4H, Daily).
Use in combination with support/resistance zones or volume profile tools for higher accuracy.
The higher the Trend Strength Score , the more reliable the trend continuation.
Indicator Settings
Analysis Period : number of bars for Z-Score & ADF test.
ATR Length : used for ribbon visualization.
Min Bars to Confirm Trend : filters false trend flips.
Show/Hide options for Ribbon, Signals, and Info Panel.
Example Settings
Timeframe : 1H or 4H
Analysis Period : 20
ATR Length : 14
Min Confirmation Bars : 2–3
Disclaimer
Trading and investing involve risk — always do your own research (DYOR) and seek professional advice. We are not responsible for any financial losses.
RSI Momentum Divergence Zones [ChartPrime]⯁ OVERVIEW
RSI Momentum Divergence Zones is a hybrid oscillator and chart overlay tool that detects RSI-based momentum divergences and projects them as key zones on the chart. By combining RSI divergence logic with horizontal level plotting, this indicator reveals high-probability support and resistance areas where price has historically reacted to hidden or classic divergences.
⯁ KEY FEATURES
Momentum-Based RSI Source:
Instead of the classic RSI input, this tool uses the momentum of price as the RSI source:
rsiSrc = ta.mom(close, 10)
This emphasizes acceleration and deceleration of price moves, sharpening divergence signals and making them more responsive to early shifts in momentum.
Automatic Divergence Detection (Optional):
When enabled, the indicator continuously scans for:
— Bullish Divergence : Price makes a Lower Low while RSI forms a Higher Low
— Bearish Divergence : Price makes a Higher High while RSI forms a Lower High
It ensures divergence is valid by checking the spacing between pivots (min 5, max 50 bars).
Divergence Labels & Markers (RSI Pane + Chart):
When a valid divergence is detected:
— On RSI pane:
Labels appear at HL/LH points (“Bull” / “Bear”)
Colored lines show pivot structures
— On price chart:
Labels (“▲ Bull” / “Bear ▼”) mark price pivot that triggered the divergence
Lines highlight the exact price level at the divergence origin
Divergence Zones / Levels (Toggleable):
The indicator projects horizontal zones across the chart based on confirmed divergence points.
These levels dynamically extend as long as price respects them, and auto-expire once broken.
They act as S/R levels created by market imbalance caused by divergence reactions.
Dynamic Zone Extension Logic:
Once plotted, divergence levels will extend to the right:
— If price respects the level, the zone keeps growing
— If broken in the opposite direction, the level stops extending and turns dashed (visually showing break)
Zone Layering and Limit Control:
You can limit the number of simultaneous zones shown on the chart (e.g., 10 most recent).
Old zones automatically expire and are removed to keep the chart clean and focused.
Color Customization and Intensity:
Different colors for bullish and bearish zones let you easily distinguish trend direction.
Background fill, line width, and transparency are all adjustable.
Clean Zone Management with Arrays:
Behind the scenes, the script uses custom divLevel type arrays to manage plotted levels, ensuring they stay up-to-date, extend correctly, and delete once invalidated.
⯁ USAGE
Use bullish divergence zones as potential demand areas and bearish ones as supply zones.
Combine RSI pane labels with price-level zones to confirm strength of reversal.
Watch for price approaching a divergence level to anticipate reactions or breakouts.
Use divergence levels as trade triggers, stop-loss guides, or take-profit markers.
Limit signal count using the “Qty Divergence Zones” setting to reduce chart clutter.
Enable divergence detection only when you want to focus on key structural zones — ideal for swing or positional setups.
⯁ CONCLUSION
RSI Momentum Divergence Zones blends oscillator divergence logic with price action structure to uncover 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.
Squeeze Pro Momentum BAR color - KLTDescription:
The Squeeze Pro Momentum indicator is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility.
It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum.
🔍 How It Works:
📉 Squeeze Detection:
This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels:
When Bollinger Bands are inside Keltner Channels → Squeeze is ON
When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF
You’ll see squeeze zones classified as:
Wide
Normal
Narrow
Each represents varying levels of compression and breakout potential.
⚡ Momentum Engine:
Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market.
🧠 Smart Candle Coloring (Optimized):
The momentum color logic is inspired by machine learning principles (no hardcoded thresholds):
EMA smoothing and rate of change (ROC) are used to detect momentum acceleration.
ATR-based filters help remove noise and false signals.
Colors are dynamically assigned based on both direction and trend strength.
🧪 How to Use It:
Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts.
Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion.
Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups.
Recommended For:
Trend Traders
Breakout Traders
Volatility Strategy Users
Anyone who wants visual clarity on trend strength
📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
Session-Based Sentiment Oscillator [TradeDots]Track, analyze, and monitor market sentiment across global trading sessions with this advanced multi-session sentiment analysis tool. This script provides session-specific sentiment readings for Asian (Tokyo), European (London), and US (New York) markets, combining price action, volume analysis, and volatility factors into a comprehensive sentiment oscillator. It is an original indicator designed to help traders understand regional market psychology and capitalize on cross-session sentiment shifts directly on TradingView.
📝 HOW IT WORKS
1. Multi-Component Sentiment Engine
Price Action Momentum : Calculates normalized price movement relative to recent trading ranges, providing directional sentiment readings.
Volume-Weighted Analysis : When volume data is available, incorporates volume flow direction to validate price-based sentiment signals.
Volatility-Adjusted Factors : Accounts for changing market volatility conditions by comparing current ATR against historical averages.
Weighted Combination : Merges all components using optimized weightings (Price: 1.0, Volume: 0.3, Volatility: 0.2) for balanced sentiment readings.
2. Session-Segregated Tracking
Automatic Session Detection : Precisely identifies active trading sessions based on user-configured time parameters.
Independent Calculations : Maintains separate sentiment accumulation for each major session, updated only during respective active hours.
Historical Preservation : Stores session-specific sentiment values even when sessions are closed, enabling cross-session comparison.
Real-Time Updates : Continuously processes sentiment during active sessions while preserving inactive session data.
3. Cross-Session Transition Analysis
Sentiment Differential Detection : Monitors sentiment changes when transitioning between trading sessions.
Configurable Thresholds : Generates signals only when sentiment shifts exceed user-defined minimum thresholds.
Directional Signals : Provides distinct bullish and bearish transition alerts with visual markers.
Smart Filtering : Applies smoothing algorithms to reduce false signals from minor sentiment variations.
⚙️ KEY FEATURES
1. Session-Specific Dashboard
Real-Time Status Display : Shows current session activity (ACTIVE/CLOSED) for all three major sessions.
Sentiment Percentages : Displays precise sentiment readings as percentages for easy interpretation.
Strength Classification : Automatically categorizes sentiment as HIGH (>50%), MEDIUM (20-50%), or LOW (<20%).
Customizable Positioning : Place dashboard in any corner with adjustable size options.
2. Advanced Signal Generation
Transition Alerts : Triangle markers indicate significant sentiment shifts between sessions.
Extreme Conditions : Diamond markers highlight overbought/oversold threshold breaches.
Configurable Sensitivity : Adjust signal thresholds from 0.05 to 0.50 based on trading style.
Alert Integration : Built-in TradingView alert conditions for automated notifications.
3. Forex Currency Strength Analysis
Base/Quote Decomposition : For forex pairs, separates sentiment into individual currency strength components.
Major Currency Support : Analyzes USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD strength relationships.
Relative Strength Display : Shows which currency is driving pair movement during active sessions.
4. Visual Enhancement System
Session Background Colors : Distinct background shading for each active trading session.
Overbought/Oversold Zones : Configurable extreme sentiment level visualization with colored zones.
Multi-Timeframe Compatibility : Works across all timeframes while maintaining session accuracy.
Customizable Color Schemes : Full color customization for dashboard, signals, and plot elements.
🚀 HOW TO USE IT
1. Add the Script
Search for "Session-Based Sentiment Oscillator " in the Indicators tab or manually add it to your chart. The indicator will appear in a separate pane below your main chart.
2. Configure Session Times
Asian Session : Set Tokyo market hours (default: 00:00-09:00) based on your chart timezone.
European Session : Configure London market hours (default: 07:00-16:00) for European analysis.
US Session : Define New York market hours (default: 13:00-22:00) for American markets.
Timezone Adjustment : Ensure session times match your broker's specifications and account for daylight saving changes.
3. Optimize Analysis Parameters
Sentiment Period : Choose 5-50 bars (default: 14) for sentiment calculation lookback period.
Smoothing Settings : Select 1-10 bars smoothing (default: 3) with SMA, EMA, or RMA options.
Component Selection : Enable/disable volume analysis, price action, and volatility factors based on available data.
Signal Sensitivity : Adjust threshold from 0.05-0.50 (default: 0.15) for transition signal generation.
4. Interpret Readings and Signals
Positive Values : Indicate bullish sentiment for the active session.
Negative Values : Suggest bearish sentiment conditions.
Dashboard Status : Monitor which session is currently active and their respective sentiment strengths.
Transition Signals : Watch for triangle markers indicating significant cross-session sentiment changes.
Extreme Alerts : Note diamond markers when sentiment reaches overbought (>70%) or oversold (<-70%) levels.
5. Set Up Alerts
Configure TradingView alerts for:
- Bullish session transitions
- Bearish session transitions
- Overbought condition alerts
- Oversold condition alerts
❗️LIMITATIONS
1. Data Dependency
Volume Requirements : Volume-based analysis only functions when volume data is provided by your broker. Many forex brokers do not supply reliable volume data.
Price Action Focus : In absence of volume data, sentiment calculations rely primarily on price movement and volatility factors.
2. Session Time Sensitivity
Manual Adjustment Required : Session times must be manually updated for daylight saving time changes.
Broker Variations : Different brokers may have slightly different session definitions requiring time parameter adjustments.
3. Ranging Market Limitations
Trend Bias : Sentiment calculations may be less reliable during extended sideways or low-volatility market conditions.
Lag Consideration : As with all sentiment indicators, readings may lag during rapid market transitions.
4. Regional Market Focus
Major Session Coverage : Designed primarily for major global sessions; may not capture sentiment from smaller regional markets.
Weekend Gaps : Does not account for weekend gap effects on sentiment calculations.
⚠️ RISK DISCLAIMER
Trading and investing carry significant risk and can result in financial loss. The "Session-Based Sentiment Oscillator " is provided for informational and educational purposes only. It does not constitute financial advice.
- Always conduct your own research and analysis
- Use proper risk management and position sizing in all trades
- Past sentiment patterns do not guarantee future market behavior
- Combine this indicator with other technical and fundamental analysis tools
- Consider overall market context and your personal risk tolerance
This script is an original creation by TradeDots, published under the Mozilla Public License 2.0.
Session-based sentiment analysis should be used as part of a comprehensive trading strategy. No single indicator can predict market movements with certainty. Exercise proper risk management and maintain realistic expectations about indicator performance across varying market conditions.
Heikin Ashi + MACD Momentum FilterThe Heikin Ashi + MACD Momentum Filter is designed for short-term and swing traders, combining the trend-smoothing capabilities of manually calculated Heikin Ashi candles with the momentum confirmation of the MACD histogram to generate reliable buy and sell signals. This indicator aligns trend direction with momentum shifts to minimize false signals, making it ideal for trading trending markets on timeframes like 5-minute to 1-hour charts.
How It Works
The indicator uses two technical components to produce signals:
Heikin Ashi for Trend Detection:
Heikin Ashi candles are manually calculated to smooth price action, with the close as the average of OHLC values and the open as the average of the previous Heikin Ashi open and close. These values are further smoothed over a default 5-period moving average. A bullish trend is confirmed when the smoothed Heikin Ashi close is above its open (plotted in green), and a bearish trend when the close is below the open (plotted in red). This smoothing reduces noise, helping traders stay in the direction of the prevailing trend.
MACD Histogram for Momentum Confirmation:
The MACD, calculated with standard settings (fast=12, slow=26, signal=9), produces a histogram. A buy signal requires the histogram to cross above a threshold (default: 0.0), indicating bullish momentum, while a sell signal requires a cross below, indicating bearish momentum. This ensures trades are taken when momentum supports the trend.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting:
Buy Signal: The MACD histogram crosses above the threshold, and the Heikin Ashi confirms a bullish trend. Displayed as a green upward triangle below the bar.
Sell Signal: The MACD histogram crosses below the threshold, and the Heikin Ashi confirms a bearish trend. Displayed as a red downward triangle above the bar.
US Growth Momentum Index (UGMI)US Growth Momentum Index (UGMI) is a macroeconomic indicator designed to reflect the current economic health of the United States. The index combines four key economic factors—Industrial Production (INDPRO), Retail Sales (RSAFS), Unemployment Rate (UNRATE), and the 10Y-2Y Yield Curve Spread—and aggregates them into a single line representing overall growth momentum.
The UGMI is based on Z-Score calculations for each of these components, helping to identify whether the U.S. economy is in an expansionary growth phase or a contractionary recession phase.
How to Read the UGMI:
Core Growth Line (Blue): This is the main line representing the aggregated growth momentum. It is calculated using the Z-scores of the key economic indicators.
0 Line: The 0 line represents the neutral zone. If the UGMI is above the 0 line, it suggests that the economy is expanding. Below the 0 line indicates contraction or a potential recession.
Zones Above 1: When the UGMI is above 1, it represents a strong expansionary phase or boom, possibly signaling the top of a bull market or local peak.
Zones Below -1: When the UGMI falls below -1, it indicates a severe recession or significant contraction in the economy.
Color Coding:
Green: When the UGMI is above the 1 line, the background turns green, indicating a strong growth phase.
Red: When the UGMI is below -1, the background turns red, representing a recession or significant economic downturn.
This indicator helps traders and investors to understand whether the economy is growing or contracting, and is especially useful for identifying potential market tops or turning points.
RSI-MACD Momentum Fusion Indicator(RMFI)📈 RSI-MACD Momentum Fusion Indicator (RMFI)
The RMFI combines the strengths of two RSI variants with a dynamically adaptive MACD module into a powerful momentum oscillator ranging from 0 to 100. The goal is to unify converging momentum information from different perspectives into a clear, weighted overall signal.
🔧 Core Features
RSI 1: Classic Wilder RSI, sensitive to short-term momentum.
RSI 2: Modified RSI based on normalized price movement ranges (Range Momentum).
MACD (3 Modes):
Standardized (min/max-based)
Fully adaptive (Z-score normalization)
50% adaptive (hybrid weighting of both approaches)
Dynamic MACD mode selection (optional): Automatic switching of MACD normalization based on volatility levels (ATR-based).
Signal Line: Smoothed average of all components to visualize momentum trends and crossovers.
🎯 Visualization
Clear separation of overbought (>70) and oversold (<30) zones with color highlighting.
Different colors based on the dynamic MACD mode – visually indicates how strongly the market adapts to volatility.
⚙️ Recommended Use
Ideal for trend following, divergence confirmation (with external divergence logic), and momentum reversals.
Particularly effective in volatile markets, as the MACD component adaptively responds to instability.
© champtrades
EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)EMA-Based Squeeze Dynamics (Gap Momentum & EWMA Projection)
🚨 Main Utility: Early Squeeze Warning
The primary function of this indicator is to warn traders early when the market is approaching a "squeeze"—a tightening condition that often precedes significant moves or regime shifts. By visually highlighting areas of increasing tension, it helps traders anticipate potential volatility and prepare accordingly. This is intended to be a statistically and psychologically grounded replacement of so-called "fib-time-zones," which are overly-deterministic and subjective.
📌 Overview
The EMA-Based Squeeze Dynamics indicator projects future regime shifts (such as golden and death crosses) using exponential moving averages (EMAs). It employs historical interval data and current market conditions to dynamically forecast when the critical EMAs (50-period and 200-period) will reconverge, marking likely trend-change points.
This indicator leverages two core ideas:
Behavioral finance theory: Traders often collectively anticipate popular EMA crossovers, creating a self-fulfilling prophecy (normative social influence), similar to findings from Solomon Asch’s conformity experiments.
Bayesian-like updates: It utilizes historical crossover intervals as a prior, dynamically updating expectations based on evolving market data, ensuring its signals remain objectively grounded in actual market behavior.
⚙️ Technical & Mathematical Explanation
1. EMA Calculations and Regime Definitions
The indicator uses three EMAs:
Fast (9-period): Represents short-term price movement.
Medial (50-period): Indicates medium-term trend direction.
Slow (200-period): Defines long-term market sentiment.
Regime States:
Bullish: 50 EMA is above the 200 EMA.
Bearish: 50 EMA is below the 200 EMA.
A shift between these states triggers visual markers (arrows and labels) directly on the chart.
2. Gap Dynamics and Historical Intervals
At each crossover:
The indicator records the gap (distance) between the 50 and 200 EMAs.
It tracks the historical intervals between past crossovers.
An Exponentially Weighted Moving Average (EWMA) of these intervals is calculated, weighting recent intervals more heavily, dynamically updating expectations.
Important note:
After every regime shift, the projected crossover line resets its calculation. This reset is visually evident as the projection line appears to move further away after each regime change, temporarily "repelled" until the EMAs begin converging again. This ensures projections remain realistic, grounded in actual EMA convergence, and prevents overly optimistic forecasts immediately after a regime shift.
3. Gap Momentum & Adaptive Scaling
The indicator measures how quickly or slowly the gap between EMAs is changing ("gap momentum") and adjusts its forecast accordingly:
If the gap narrows rapidly, a crossover becomes more imminent.
If the gap widens, the next crossover is pushed further into the future.
The "gap factor" dynamically scales the projection based on recent gap momentum, bounded between reasonable limits (0.7–1.3).
4. Squeeze Ratio & Background Color (Visual Cues)
A "squeeze ratio" is computed when market conditions indicate tightening:
In a bullish regime, if the fast EMA is below the medial EMA (price pulling back towards long-term support), the squeeze ratio increases.
In a bearish regime, if the fast EMA rises above the medial EMA (price rallying into long-term resistance), the squeeze ratio increases.
What the Background Colors Mean:
Red Background: Indicates a bullish squeeze—price is compressing downward, hinting a bullish reversal or continuation breakout may occur soon.
Green Background: Indicates a bearish squeeze—price is compressing upward, suggesting a bearish reversal or continuation breakout could soon follow.
Opacity Explanation:
The transparency (opacity) of the background indicates the intensity of the squeeze:
High Opacity (solid color): Strong squeeze, high likelihood of imminent volatility or regime shift.
Low Opacity (faint color): Mild squeeze, signaling early stages of tightening.
Thus, more vivid colors serve as urgent visual warnings that a squeeze is rapidly intensifying.
5. Projected Next Crossover and Pseudo Crossover Mechanism
The indicator calculates an estimated future bar when a crossover (and thus, regime shift) is expected to occur. This calculation incorporates:
Historical EWMA interval.
Current squeeze intensity.
Gap momentum.
A dynamic penalty based on divergence from baseline conditions.
The "Pseudo Crossover" Explained:
A key adaptive feature is the pseudo crossover mechanism. If price action significantly deviates from the projected crossover (for example, if price stays beyond the projected line longer than expected), the indicator acknowledges the projection was incorrect and triggers a "pseudo crossover" event. Essentially, this acts as a reset, updating historical intervals with a weighted adjustment to recalibrate future predictions. In other words, if the indicator’s initial forecast proves inaccurate, it recognizes this quickly, resets itself, and tries again—ensuring it remains responsive and adaptive to actual market conditions.
🧠 Behavioral Theory: Normative Social Influence
This indicator is rooted in behavioral finance theory, specifically leveraging normative social influence (conformity). Traders commonly watch EMA signals (especially the 50 and 200 EMA crossovers). When traders collectively anticipate these signals, they begin trading ahead of actual crossovers, effectively creating self-fulfilling prophecies—similar to Solomon Asch’s famous conformity experiments, where individuals adopted group behaviors even against direct evidence.
This behavior means genuine regime shifts (actual EMA crossovers) rarely occur until EMAs visibly reconverge due to widespread anticipatory trading activity. The indicator quantifies these dynamics by objectively measuring EMA convergence and updating projections accordingly.
📊 How to Use This Indicator
Monitor the background color and opacity as primary visual cues.
A strongly colored background (solid red/green) is an early alert that a squeeze is intensifying—prepare for potential volatility or a regime shift.
Projected crossover lines give a dynamic target bar to watch for trend reversals or confirmations.
After each regime shift, expect a reset of the projection line. The line may seem initially repelled from price action, but it will recalibrate as EMAs converge again.
Trust the pseudo crossover mechanism to automatically recalibrate the indicator if its original projection misses.
🎯 Why Choose This Indicator?
Early Warning: Visual squeeze intensity helps anticipate market breakouts.
Behaviorally Grounded: Leverages real trader psychology (conformity and anticipation).
Objective & Adaptive: Uses real-time, data-driven updates rather than static levels or subjective analysis.
Easy to Interpret: Clear visual signals (arrows, labels, colors) simplify trading decisions.
Self-correcting (Pseudo Crossovers): Quickly adjusts when initial predictions miss, maintaining accuracy over time.
Summary:
The EMA-Based Squeeze Dynamics Indicator combines behavioral insights, dynamic Bayesian-like updates, intuitive visual cues, and a self-correcting pseudo crossover feature to offer traders a reliable early warning system for market squeezes and impending regime shifts. It transparently recalibrates after each regime shift and automatically resets whenever projections prove inaccurate—ensuring you always have an adaptive, realistic forecast.
Whether you're a discretionary trader or algorithmic strategist, this indicator provides a powerful tool to navigate market volatility effectively.
Happy Trading! 📈✨
Pro Scalper AI [BullByte]The Pro Scalper AI is a powerful, multi-faceted scalping indicator designed to assist active traders in identifying short-term trading opportunities with precision. By combining trend analysis, momentum indicators, dynamic weighting, and optional AI forecasting, this tool provides both immediate and latched trading signals based on confirmed (closed bar) data—helping to avoid repainting issues. Its flexible design includes customizable filters such as a higher timeframe trend filter, and adjustable settings for ADX, ATR, and Hull Moving Average (HMA), giving traders the ability to fine-tune the strategy to different markets and timeframes.
Key Features :
- Confirmed Data Processing :
Utilizes a helper function to lock in price and volume data only from confirmed (closed) bars, ensuring the reliability of signals without the risk of intrabar repainting.
- Trend Analysis :
Employs ADX and Directional Movement (DI) calculations along with a locally computed HMA to detect short-term trends. An optional higher timeframe trend filter can further refine the analysis.
- Flexible Momentum Modes :
Choose between three momentum calculation methods—Stochastic RSI, Fisher RSI, or Williams %R—to match your preferred style of analysis. This versatility allows you to optimize the indicator for different market conditions.
- Dynamic Weighting & Volatility Adjustments :
Adjusts the contribution of trend, momentum, volatility, and volume through dynamic weighting. This ensures that the indicator responds appropriately to varying market conditions by scaling its sensitivity with user-defined maximum factors.
- Optional AI Forecast :
For those who want an extra edge, the built-in AI forecasting module uses linear regression to predict future price moves and adjusts oscillator thresholds accordingly. This feature can be toggled on or off, with smoothing options available for more stable output.
- Latching Mode for Signal Persistenc e:
The script features a latching mechanism that holds signals until a clear reversal is detected, preventing whipsaws and providing more reliable trade entries and exits.
- Comprehensive Visualizations & Dashboard :
- Composite Oscillator & Dynamic Thresholds : The oscillator is plotted with dynamic upper and lower thresholds, and the area between them is filled with a color that reflects the active trading signal (e.g., Strong Buy, Early Sell).
- Signal Markers : Both immediate (non-latching) and stored (latched) signals are marked on the chart with distinct shapes (circles, crosses, triangles, and diamonds) to differentiate between signal types.
- Real-Time Dashboard : A customizable dashboard table displays key metrics including ADX, oscillator value, chosen momentum mode, HMA trend, higher timeframe trend, volume factor, AI bias (if enabled), and more, allowing traders to quickly assess market conditions at a glance.
How to Use :
1. S ignal Interpretation :
- Immediate Signals : For traders who prefer quick entries, the indicator displays immediate signals such as “Strong Buy” or “Early Sell” based on the current market snapshot.
- Latched Signals : When latching is enabled, the indicator holds a signal state until a clear reversal is confirmed, offering sustained trade setups.
2. Trend Confirmation :
- Use the HMA trend indicator and the optional higher timeframe trend filter to confirm the prevailing market direction before acting on signals.
3. Dynamic Thresholds & AI Forecasting :
- Monitor the dynamically adjusted oscillator thresholds and, if enabled, the AI bias to gauge potential shifts in market momentum.
4. Risk Management :
- Combine these signals with additional analysis and sound risk management practices to determine optimal entry and exit points for scalping trades.
Disclaimer :
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management strategies before trading.
AI Trend Momentum SniperThe AI Trend Momentum Sniper is a powerful technical analysis tool designed for day trading. This strategy combines multiple momentum and trend indicators to identify high-probability entry and exit points. The indicator utilizes a combination of Supertrend, MACD, RSI, ATR (Average True Range), and On-Balance Volume (OBV) to generate real-time signals for buy and sell opportunities.
Key Features:
Supertrend for detecting market direction (bullish or bearish).
MACD for momentum confirmation, highlighting changes in market momentum.
RSI to filter out overbought/oversold conditions and ensure high-quality trades.
ATR as a volatility filter to adjust for changing market conditions.
OBV (On-Balance Volume) to confirm volume strength and trend validity.
Dynamic Stop-Loss & Take-Profit based on ATR to manage risk and lock profits.
This indicator is tailored for intraday traders looking for quick market moves, especially in volatile and high liquidity assets like Bitcoin (BTC) and Ethereum (ETH). It helps traders capture short-term trends with efficient risk management tools.
How to Apply:
Set Your Chart: Apply the AI Trend Momentum Sniper to a 5-minute (M5) or 15-minute (M15) chart for optimal performance.
Buy Signal: When the indicator generates a green arrow below the bar, it indicates a buy signal based on positive trend and momentum alignment.
Sell Signal: A red arrow above the bar signals a sell condition when the trend and momentum shift bearish.
Stop-Loss and Take-Profit: The indicator automatically calculates dynamic stop-loss and take-profit levels based on the ATR value for each trade, ensuring proper risk management.
Alerts: Set up custom alerts for buy or sell signals, and get notified instantly when opportunities arise.
Best Markets for Use:
BTC/USDT, ETH/USDT – High liquidity and volatility.
Major altcoins with sufficient volume.
Avoid using it on low-liquidity assets where price action may become erratic.
Timeframes:
This indicator is best suited for lower timeframes (5-minute to 15-minute charts) to capture quick price movements in trending markets.
ORB with Alerts - Current Day OnlyORB with Alerts - Current Day Only
This script plots the Opening Range Breakout (ORB) levels and provides alerts when price breaks above or below the range. It is designed for intraday trading and resets daily.
How It Works:
The ORB time in settings should be set to 15 minutes.
The Session Time should be set to 09:30 - 09:45.
The script marks the high and low of the ORB period and tracks price action for breakouts.
Alerts trigger when price crosses above the ORB high or below the ORB low.
This tool helps traders identify breakout opportunities based on early price action, aiding in momentum-based strategies
Geometric Momentum Breakout with Monte CarloOverview
This experimental indicator uses geometric trendline analysis combined with momentum and Monte Carlo simulation techniques to help visualize potential breakout areas. It calculates support, resistance, and an aggregated trendline using a custom Geo library (by kaigouthro). The indicator also tracks breakout signals in a way that a new buy signal is triggered only after a sell signal (and vice versa), ensuring no repeated signals in the same direction.
Important:
This script is provided for educational purposes only. It is experimental and should not be used for live trading without proper testing and validation.
Key Features
Trendline Calculation:
Uses the Geo library to compute support and resistance trendlines based on historical high and low prices. The midpoint of these trendlines forms an aggregated trendline.
Momentum Analysis:
Computes the Rate of Change (ROC) to determine momentum. Breakout conditions are met only if the price and momentum exceed a user-defined threshold.
Monte Carlo Simulation:
Simulates future price movements to estimate the probability of bullish or bearish breakouts over a specified horizon.
Signal Tracking:
A persistent variable ensures that once a buy (or sell) signal is triggered, it won’t repeat until the opposite signal occurs.
Geometric Enhancements:
Calculates an aggregated trend angle and channel width (distance between support and resistance), and draws a perpendicular “breakout zone” line.
Table Display:
A built-in table displays key metrics including:
Bullish probability
Bearish probability
Aggregated trend angle (in degrees)
Channel width
Alerts:
Configurable alerts notify when a new buy or sell breakout signal occurs.
Inputs
Resistance Lookback & Support Lookback:
Number of bars to look back for determining resistance and support points.
Momentum Length & Threshold:
Period for ROC calculation and the minimum percentage change required for a breakout confirmation.
Monte Carlo Simulation Parameters:
Simulation Horizon: Number of future bars to simulate.
Simulation Iterations: Number of simulation runs.
Table Position & Text Size:
Customize where the table is displayed on the chart and the size of the text.
How to Use
Add the Script to Your Chart:
Copy the code into the Pine Script editor on TradingView and add it to your chart.
Adjust Settings:
Customize the inputs (e.g., lookback periods, momentum threshold, simulation parameters) to fit your analysis or educational requirements.
Interpret Signals:
A buy signal is plotted as a green triangle below the bar when conditions are met and the state transitions from neutral or sell.
A sell signal is plotted as a red triangle above the bar when conditions are met and the state transitions from neutral or buy.
Alerts are triggered only on the bar where a new signal is generated.
Examine the Table:
The table displays key metrics (breakout probabilities, aggregated trend angle, and channel width) to help evaluate current market conditions.
Disclaimer
This indicator is experimental and provided for educational purposes only. It is not intended as a trading signal or financial advice. Use this script at your own risk, and always perform your own research and testing before using any experimental tools in live trading.
Credit
This indicator uses the Geo library by kaigouthro. Special thanks to Cryptonerds and @Hazzantazzan for their contributions and insights.
BTC Trend Momentum (BTM) with VWMOBTC Trend Momentum (BTM) with VWMO – A Smarter Way to Trade Bitcoin 🚀
Overview
Bitcoin price movements can be volatile, often leading to fake breakouts and whipsaws that mislead traders. BTC Trend Momentum (BTM), combined with Volume Weighted Moving Average (VWMO), helps smooth out market noise and provide clearer trend signals.
This script integrates momentum analysis, trend strength detection, and zero-line crossovers, allowing traders to make smarter entries and exits while avoiding false signals.
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Why Use This Indicator?
✅ Momentum Histogram – Easily visualize trend strength with color-coded bars.
✅ Volume-Weighted Analysis – Uses VWMO to filter out weak price movements.
✅ Zero Line Crossover Alerts – Identifies major trend shifts in real-time.
✅ Dynamic Color Coding – Stronger trends highlighted in brighter colors.
✅ Background Shading – Differentiates bullish & bearish zones for easy trend reading.
✅ Built-in Alerts – Get notified of trade opportunities instantly.
⸻
How to Trade Using BTC Trend Momentum (BTM)
🔹 Buy Signal: When the momentum histogram (green bars) crosses above the EMA (orange line).
🔹 Sell Signal: When the momentum histogram (red bars) crosses below the EMA.
🔹 Strong Trend Confirmation: If histogram bars turn lime (bullish) or maroon (bearish), it indicates strong momentum.
🔹 Zero Line Crossovers: A bullish crossover above zero confirms an uptrend, while a bearish crossover below zero confirms a downtrend.
For better results, combine with RSI, MACD, or VWAP to confirm trend strength before entering trades.
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Best Timeframes for Trading
📌 1H & 4H – Ideal for swing trading Bitcoin.
📌 5M & 15M – Perfect for scalping BTC with precision.
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💡 Would you integrate BTC Trend Momentum (BTM) into your trading strategy? Let us know your thoughts below!
Crypto Neo - Blockchain Momentum (ETH Settings)The Crypto Neo - Blockchain Momentum indicator analyzes Ethereum’s on-chain activity to gauge bullish or bearish trends. It combines multiple on-chain metrics and applies different moving average strategies to assess Ethereum’s momentum.
This indicator is designed to track key blockchain data sources, such as:
Hash Rate
Active Addresses
Transactions per Second
Transfers per Second
Trader Behavior
Long-Term Holders (Cruisers)
Money Flow In/Out
Total Value Locked
It processes these inputs using various Moving Average (MA) types, including SMA, EMA, DMA, to generate a Bullish Momentum Score, which is visually displayed on the chart.
How to Use:
Select MA Type – Choose between SMA, EMA, MIXMA, or DMA to determine how moving averages are applied.
Set MA Lengths – Adjust MA1 Length and MA2 Length to define short-term vs. long-term trend comparison.
Customize Data Sources – Select different on-chain metrics for the indicator to analyze.
Interpret the Bullish Momentum Score:
🟢 Green (Strong Bullish Momentum) – Bullish on-chain signals dominate.
🟡 Yellow (Moderate Bullish Momentum) – Weak bullish trend forming.
⚪ White (Neutral) – No clear trend.
🟠 Orange (Moderate Bearish Momentum) – Weak bearish signals emerging.
🔴 Red (Strong Bearish Momentum) – Bearish on-chain signals dominate.
Important Notes
* This indicator does not generate trading signals but helps interpret blockchain trends for informed decision-making.
* Since it relies on daily on-chain data, it is best used on the 1D timeframe for accurate readings.
* Real-time calculations may vary slightly due to different bar update behaviors.
This indicator is very useful to confirm market turns early. Here are a few an example setups:
1. Back in 2022 on chain metrics started trending down after the market was consolidating at the top. On chain data predicted momentum moving to the downside.
2. Around October 2024, on-chain metrics showed bullish momentum while ETH was consolidating. It led to a rally in November.
Crypto Neo - Blockchain Momentum (BTC Settings)The Crypto Neo - Blockchain Momentum indicator analyzes Bitcoin’s on-chain activity to gauge bullish or bearish trends. It combines multiple on-chain metrics and applies different moving average strategies to assess Bitcoin’s momentum.
This indicator is designed to track key blockchain data sources, such as:
Hash Rate
Active Addresses
Transactions per Second
New Addresses
Trader Behavior
Long-Term Holders (Cruisers)
Money Flow In/Out
Large Transactions Count
It processes these inputs using various Moving Average (MA) types, including SMA, EMA, DMA, to generate a Bullish Momentum Score, which is visually displayed on the chart.
How to Use:
Select MA Type – Choose between SMA, EMA, MIXMA, or DMA to determine how moving averages are applied.
Set MA Lengths – Adjust MA1 Length and MA2 Length to define short-term vs. long-term trend comparison.
Customize Data Sources – Select different on-chain metrics for the indicator to analyze.
Interpret the Bullish Momentum Score:
🟢 Green (Strong Bullish Momentum) – Bullish on-chain signals dominate.
🟡 Yellow (Moderate Bullish Momentum) – Weak bullish trend forming.
⚪ White (Neutral) – No clear trend.
🟠 Orange (Moderate Bearish Momentum) – Weak bearish signals emerging.
🔴 Red (Strong Bearish Momentum) – Bearish on-chain signals dominate.
Important Notes
This indicator does not generate trading signals but helps interpret blockchain trends for informed decision-making.
Since it relies on daily on-chain data, it is best used on the 1D timeframe for accurate readings.
Real-time calculations may vary slightly due to different bar update behaviors.
This indicator is very useful to confirm market turns early. Here are a few an example setups:
1. Back in 2019 on chain metrics started trending up after the market had dumped signaling a very good opportunity to buy.
2. During the 2021 bull market. When the market was forming a top, the on chain metrics started trending down indicating a risk to the downside.
