fibonacci2Library "fibonacci2"
Useful methods to calculate and display fibonacci retracement
modelParamsNew(point_0, point_1)
Parameters:
point_0 (chart.point)
point_1 (chart.point)
modelParamsNew(this, point_0, point_1)
Parameters:
this (viewParams)
point_0 (chart.point)
point_1 (chart.point)
method toModelParams(this, point_0, point_1)
Namespace types: viewParams
Parameters:
this (viewParams)
point_0 (chart.point)
point_1 (chart.point)
method createModel(params)
Namespace types: modelParams
Parameters:
params (modelParams)
method createView(this, params)
Namespace types: model
Parameters:
this (model)
params (viewParams)
method delete(view)
Namespace types: view
Parameters:
view (view)
levelModelParams
Fields:
level (series float)
levelViewParams
Fields:
level (series float)
color (series color)
line_width (series int)
line_style (series lineStyleEnum enum from Hamster-Coder/drawing/1)
levelModel
Represents a Fibonacci retracement level
Fields:
level (series float) : The Fibonacci level ratio (e.g., 0.382, 0.5, 0.618)
value (series float) : The Y-coordinate on the chart corresponding to this level
modelParams
Represents the full parameter set for the Fibonacci retracement model
Fields:
point_1 (chart.point) : Coordinates of the anchor Point (1) of the model
point_0 (chart.point) : Coordinates of the anchor Point (0) of the model
levels (array) : List of levels to display for this model
model
Fields:
point_1 (chart.point)
point_0 (chart.point)
levels (array)
viewParams
Fields:
levels (array)
x1 (series int)
x2 (series int)
xloc (series string)
show_level_value (series bool)
value_format (series string)
force_overlay (series bool)
view
Fields:
model (model)
lines (array)
labels (array)
Analisi trend
Multi Market Structure TrendOVERVIEW
Multi Market Structure Trend is a multi-layered market structure analyzer that detects trend shifts across five independent pivot-based structures . Each pivot uses a different lookback length, offering a comprehensive view of structural momentum from short-term to long-term.
The indicator visually displays the net trend direction using colored candlesticks and a dynamic gauge that tracks how many of the 5 market structure layers are currently bullish or bearish.
⯁ STRUCTURE TRACKING SYSTEM
The indicator tracks five separate market structure layers in parallel using pivot-based breakouts. Each one can be individually enabled or disabled.
Each structure works as follows:
A bullish MSB (Market Structure Break) occurs when price breaks above the most recent swing high.
A bearish MSB occurs when price breaks below the most recent swing low.
Structure breaks are plotted as horizontal lines and labeled with the number (1 to 5) corresponding to their pivot layer.
⯁ CANDLE COLOR GRADIENT SYSTEM
The indicator calculates the average directional bias from all enabled market structures to determine the current trend score.
Each structure contributes a score of +1 for bullish and -1 for bearish.
The total score ranges from -5 (all bearish) to +5 (all bullish) .
Candlesticks are colored using a smooth gradient:
Bright Green: Strong bullish trend (e.g., +5).
Orange: Neutral mixed trend (e.g., 0).
Red: Strong bearish trend (e.g., -5).
⯁ TREND GAUGE PANEL
Displayed at the middle-right side of the chart, the gauge shows the current trend strength in real time.
The bar consists of up to 10 gradient cells (5 up, 5 down).
Each active market structure pushes the score in one direction.
The central cell displays a numeric trend score:
+5 = All 5 market structures bullish
0 = Mixed/neutral trend
-5 = All 5 market structures bearish
Colors of the gauge bars match the candle gradient system.
⯁ USAGE
This indicator is highly effective for traders who want to:
Monitor short- and long-term structure shifts simultaneously on a single chart.
Use structure alignment as a trend confirmation tool — for example, waiting for at least 2 out of 5 structures to align before entering a trade.
Visually filter noise from different time horizons using the gauge and candle gradient.
Track CHoCH (Change of Character) transitions clearly and across multiple scales.
⯁ CONCLUSION
Multi Market Structure Trend offers a unique and powerful way to assess trend direction using stacked market structure logic. With five independently calculated structure layers, colored candle feedback, and a real-time trend gauge, traders can better time entries, filter noise, and confirm multi-timeframe alignment — all within a single chart overlay.
Breakout an Reversal Signal Detector with Colored in Bar TrendsThe script detects breakouts and/or reversals: when candles close outside the recent period high or low, it prompts a signal, indicating a change in market trend.
You can customize the bar color to indicate trending phases.
It can be used effectively to identify both breakouts and reversals, making it a versatile tool for trend and reversal analysis.
Simple yet effective.
Enjoy!
ADX FAST and NOICE FREE DIThis tool is designed to identify trend strength and direction earlier than the traditional ADX/DI system.
Instead of relying on the normal Wilder smoothing, this version applies momentum projection to ADX (Fast ADX)
and then filters all directional movement signals through Hull smoothing to minimize market noise.
The result:
• Trends are detected faster
• Pullbacks are filtered more cleanly
• Sideways or weak structures become easy to avoid
Recommended Usage:
• Look for Fast ADX above the threshold to confirm trend environment
• Use Noise-Free +DI and -DI to confirm trend direction (bullish / bearish dominance)
• Background color highlights only when trend + direction are aligned
This is not a buy/sell signal generator by itself; it is best used as a trend and market condition confirmation layer.
Disclaimer:
This script is provided for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Market conditions vary and past performance does not guarantee future results.
Always perform your own analysis and risk management, and trade responsibly.
Robust Scaled Dema | OquantOverview
The Robust Scaled DEMA indicator is a tool designed for traders seeking to identify potential trend directions in financial markets. It combines the smoothing capabilities of a Double Exponential Moving Average (DEMA) with a robust scaling mechanism to normalize the data, making it more resilient to outliers and extreme price movements. This scaling helps in generating long and short signals based on predefined thresholds, visualized through color-coded plots and bars. The indicator aims to provide a balanced view of market momentum, reducing the impact of noise while highlighting significant shifts in price behavior.
Key Factors/Components
DEMA (Double Exponential Moving Average): Serves as the core smoothing component, reducing lag compared to simple averages by emphasizing recent price action more effectively.
Robust Scaling Mechanism: Utilizes statistical measures like median and interquartile range to normalize the DEMA values, ensuring the indicator is less sensitive to extreme values or price spikes.
Thresholds: User-defined upper and lower levels that trigger long or short signals when the scaled DEMA crosses them.
Visual Elements: Includes plotted lines for the scaled DEMA and thresholds, plus color-coded candlestick bars for intuitive interpretation.
Alerts: Built-in conditions for notifying users of potential entry points for long or short positions.
How It Works
The indicator starts by applying a DEMA to the chosen price source to create a smoothed representation of the market's direction. This smoothed value is then scaled using a robust statistical approach that accounts for the distribution of recent DEMA values, centering it around a median and adjusting for variability to minimize the influence of outliers. The resulting scaled metric is compared against user-set upper and lower thresholds: crossing above the upper suggests a bullish momentum (long signal), while dipping below the lower indicates bearish conditions (short signal). A state variable tracks these conditions to color the chart accordingly, helping traders visualize regime changes. Optional alerts fire on transitions.
For Who Is Best/Recommended Use Cases
This indicator is ideal for traders who employ trend-following or momentum-based strategies and need tools that perform well in non-normal market conditions, such as during high volatility or in assets prone to spikes. Use cases include identifying entry/exit points in trending environments, confirming breakouts, or integrating into multi-indicator systems for added confirmation. Quantitative traders or those backtesting strategies will appreciate its customizable parameters for optimization.
Settings and Default Settings
Source: The price data input for calculations, such as close, open, high, or low. Default: close.
DEMA Length: Controls the period for the DEMA smoothing; shorter values increase responsiveness but may add noise, longer ones provide more lag but smoother signals. Default: 25.
Robust Scaling Length: Defines the lookback period for the scaling statistics; affects how adaptive the normalization is to recent data distributions. Default: 40.
Upper Threshold: The level above which a long signal is triggered; higher values make signals rarer but potentially more reliable. Default: 0.5.
Lower Threshold: The level below which a short signal is triggered; lower values allow for more aggressive bearish detection. Default: 0.
Conclusion
The Robust Scaled DEMA offers an outlier-resistant alternative to traditional moving average indicators, empowering traders to navigate volatile markets. By blending exponential smoothing with statistical robustness, it provides actionable insights into trend shifts while minimizing false positives from extreme events..
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Dual EMA Status Table (15m & 30m)It checks whether the 9 EMA is above or below the 21 EMA on:
the 15-minute chart, and
the 30-minute chart,
and then displays their alignment in a table:
Timeframe 9 vs 21 Status
15 min 9 > 21 Bullish
30 min 9 > 21 Bullish
CONFIRM ✅ Bullish
✅ “Bullish Confirm” → 9 EMA > 21 EMA on both → uptrend bias
❌ “Bearish Confirm” → 9 EMA < 21 EMA on both → downtrend bias
⚠️ “Mixed” → 15 m and 30 m disagree → stay neutral or wait
💡 How to Use It as a Trading Signal
You can treat it as a buy/sell framework with confirmation rules:
🔹 Buy (Long) bias
Table shows ✅ Bullish confirmation
9 EMA > 21 EMA on both timeframes
Ideally, price pulls back near one of the EMAs and then bounces
You could enter after a bullish candle close above the EMAs
📍 Example entry rule:
Enter long when “✅ Bullish” appears and price closes above both EMAs on the 15 min chart.
Stop-loss below the 21 EMA or recent swing low.
🔹 Sell (Short) bias
Table shows ❌ Bearish confirmation
9 EMA < 21 EMA on both timeframes
Price retraces upward and rejects near EMAs
📍 Example entry rule:
Enter short when “❌ Bearish” appears and price closes below both EMAs on the 15 min chart.
Stop-loss above 21 EMA or recent swing high.
Volume HeatMap Divergence [BigBeluga]🔵 OVERVIEW
The Volume HeatMap Divergence is a smart volume visualization tool that overlays normalized volume data directly on the chart. Using a color heatmap from aqua to red, it transforms raw volume into an intuitive scale — highlighting areas of weak to intense market participation. Additionally, it detects volume-based divergences from price to signal potential reversals or exhaustion zones. Combined with clear visual labeling, this tool empowers traders with actionable volume insights.
🔵 CONCEPTS
Normalized Volume Heatmap : Volume is normalized to a 0–100% scale and visually represented as candles below the chart.
float vol = volume / ta.percentile_nearest_rank(volume, 1000, 100) * 100
Bar Coloring : Price candles are dynamically colored based on volume intensity.
Volume Divergence Logic :
Bullish Divergence : Price forms a lower low, but volume forms a higher low.
Bearish Divergence : Price forms a higher high, but volume forms a lower high.
Dynamic Detection Range : Customizable range ensures divergence signals are meaningful and not random.
Volume Labels : Additional info on divergence bars shows both the actual volume and its normalized % score.
🔵 FEATURES
Volume Heatmap Plot : Normalized volume values colored using a smooth gradient from aqua (low) to red (high).
Price Bar Coloring : Candlesticks on the main chart adopt the same heatmap color based on volume.
Divergence Detection :
Bullish divergence with label and low marker
Bearish divergence with label and high marker
Dual Divergence Labels :
On the volume plot : Direction (Bull/Bear), raw volume, and normalized %
On the price chart : Shape labels showing "Bull" or "Bear" at local highs/lows
Custom Inputs :
Divergence range (min & max), pivot detection distance (left/right)
Toggle to show/hide divergence labels, volume, and % text
Clear Bull/Bear Coloring : Fully customizable label and line colors for both bullish and bearish signals.
🔵 HOW TO USE
Use the indicator as an overlay to monitor real-time volume strength using the heatmap color.
Watch for divergence markers:
Bullish divergence: Candle shows higher volume while price makes a new low
Bearish divergence: Candle shows lower volume while price makes a new high
Use the volume info labels to verify the context of divergence:
Actual volume at divergence candle
Normalized % of that volume compared to past 1000 bars
Adjust pivot sensitivity using "Pivot Left" and "Pivot Right" to tune signal frequency and lag with a right pivot length.
Use divergence zones as early warnings for potential reversals or trend shifts.
Disable or customize labels in settings depending on your charting preferences.
🔵 CONCLUSION
Volume HeatMap Divergence merges heatmap-style volume visualization with intelligent divergence detection — giving traders a clean yet powerful edge. By revealing hidden disconnections between price and participation, it helps users spot exhaustion moves or hidden accumulation zones before the market reacts. Whether you’re a scalper, swing trader, or intraday strategist, this tool offers real-time clarity on who’s in control behind the candles.
Major exchages total Open interest & Long/Short OI trends📊 Indicator: Major Exchanges Total OI & Long/Short Trends
This Pine Script™ indicator is designed to provide a comprehensive analysis of Open Interest (OI) and Long/Short position trends across major cryptocurrency exchanges (Binance, Bybit, OKX, Bitget, HTX, Deribit). It serves as a powerful tool for traders seeking to understand market liquidity, participant positioning, and overall market sentiment.
🔑 Key Features and Functionalities
Aggregated Multi-Exchange Open Interest (OI):
Consolidates real-time Open Interest data from user-selected major cryptocurrency exchanges.
Provides a unified view of the total OI, offering insights into the collective market liquidity and the aggregate size of participants' open positions.
Visualized Combined OI Candles:
Presents the aggregated total OI data in a candlestick chart format.
Displays the Open, High, Low, and Close of the combined OI, with color variations indicating increases or decreases from the previous period. This enables intuitive visualization of OI trend shifts.
Estimated Long/Short OI and Visualization:
Calculates and visualizes estimated Long and Short position Open Interest based on the total aggregated OI data.
Estimation Logic:
Employs a sophisticated logic that considers both price changes and OI fluctuations to infer the balance between Long and Short positions. For instance, an increase in both price and OI may suggest an accumulation of Long positions, while a price decrease coupled with an OI increase might indicate growing Short positions.
Initial 50:50 Ratio:
The estimation for Long/Short OI begins with an assumption of a 50:50 ratio at the initial data point available for the selected timeframe. This establishes a neutral baseline, from which subsequent price and OI changes drive the divergence and evolution of the estimated Long/Short balance.
Flexible Visualization Options:
Allows users to display Long/Short OI data in either line or candlestick styles, with customizable color schemes. This flexibility aids in clearly discerning bullish or bearish positioning trends.
💡 Development Background
The development of this indicator stems from the critical importance of Open Interest data in the cryptocurrency derivatives market. Recognizing the limitations of analyzing individual exchange OI in isolation, the primary objective was to integrate data from leading exchanges to offer a holistic perspective on market sentiment and overall positioning dynamics.
The inclusion of the Long/Short position estimation feature is crucial for deciphering the specific directional biases of market participants, which is often not evident from raw OI data alone. This enables a deeper understanding of how positions are being accumulated or liquidated, moving beyond simple OI change analysis.
Furthermore, a key design consideration was to leverage the characteristic where the indicator's data start point dynamically adjusts with the chart's timeframe selection. This allows for the analysis of short-term Long/Short trends on shorter timeframes and long-term trends on longer timeframes. This inherent flexibility empowers traders to conduct analyses across various time scales, aligning with their diverse trading strategies.
🚀 Trading Applications
Leveraging Combined Open Interest (OI):
Trend Confirmation: A sustained increase in total OI signifies growing market interest and capital inflow, potentially confirming the strength of an existing trend. Conversely, decreasing OI may suggest diminishing participant interest or widespread position liquidation.
Validation of Price Extremes: If price forms a new high but OI fails to increase or declines, it could signal a potential trend reversal (divergence). Conversely, a sharp increase in OI during a price decline might indicate a surge in short positions or renewed selling pressure.
Identifying Volatility Triggers: Monitoring rapid shifts in OI during significant news events or market catalysts can help assess immediate market reactions and liquidity changes.
📈Utilizing Long/Short OI Trends
Assessing Market Bias: A sustained dominance or rapid increase in Long OI suggests a prevalent bullish sentiment, which could inform decisions to enter or maintain long positions. The inverse scenario indicates bearish sentiment and potential short entry opportunities.
Anticipating Squeezes: The indicator can help identify scenarios conducive to short or long squeezes. Excessive short positioning followed by a price uptick can trigger a short squeeze, leading to rapid price appreciation. Conversely, an oversupply of long positions preceding a price drop can result in a long squeeze and sharp declines.
Divergence Analysis: Divergences between price action and Long/Short OI estimates can signal potential trend reversals. For example, if price is rising but the increase in Long OI slows down or Short OI begins to grow, it may suggest weakening buying pressure.
🕔Timeframe-Specific Trend Analysis:
Shorter Timeframes (e.g., 1m, 5m, 15m): Ideal for identifying short-term shifts in participant positioning, beneficial for day trading and scalping strategies. Provides insights into immediate market reactions to price movements.
Longer Timeframes (e.g., 1h, 4h, Daily): Valuable for evaluating broader positioning trends and the sustainability or potential reversal of medium-to-long-term trends. Offers a macro perspective on Long/Short dynamics, suitable for swing trading or long-term investment strategies.
This indicator integrates complex market data, provides nuanced Long/Short position estimations, and offers multi-timeframe analytical capabilities, empowering traders to make more informed and strategic decisions.
Zone Tap Counter: Support & Resistance StrengthWhat is this indicator?
This script is designed to help traders objectively monitor the strength and significance of price zones by counting and visualizing how many times price “taps” confirmed support and resistance levels. The indicator leverages swing high/low detection to automatically plot relevant zones and uses price tap frequency as an objective strength metric.
How does it work?
Zone Identification:
The script uses the Pine Script functions ta.pivothigh and ta.pivotlow to detect confirmed swing highs and lows on your chart. Each swing high establishes a resistance zone, and each swing low establishes a support zone.
Only confirmed pivots are used, ensuring all signals are strictly non-repainting.
Tap Counting Logic:
For every candle, the indicator checks whether price touches (comes within a small, user-set tolerance) of any currently tracked support or resistance zone. To avoid counting repeated taps in the same move, the script ensures only unique bar taps are registered.
Each time price taps a zone, a counter for that zone is incremented.
Both the tolerance for taps (percentage-based), and the depth/history of zones tracked are fully adjustable in settings.
Visual Feedback:
Zones with more taps are drawn darker (lower transparency), making it easy to spot the strongest/hardest-tested levels on the chart.
A label on each zone displays the current tap count (e.g., "3x"), giving direct feedback about which support/resistance are most significant in the current view.
Only recent zones (user-configurable) are shown to keep charts clear and useful.
How to use it:
Add the indicator to your TradingView chart.
Set the swing length and tap tolerance in settings to match your market or timeframe (short swing length for scalping, longer swings for bigger structure).
Watch for zones with high tap counts and darker lines: These zones represent areas where price has repeatedly reacted, suggesting they may be important for your trading decisions.
You can adjust the minimum number of taps needed for a zone to be highlighted and the number of zones to display for your preferred visual clarity.
Combine this tool with other analysis for confirmation—tap counts should not be seen as trading signals, but as supporting information.
Originality & Calculation Details:
This script does NOT simply merge or overlay existing indicators. The calculation method is original: it uses swing-based support/resistance and applies unique tap-count logic, designed for objective zone strength visualization.
No repainting logic is present.
All code and visualization methods are documented and transparent.
Disclaimer:
This indicator is for educational and analytical purposes only. It does not predict future price movement, guarantee profits, or recommend specific trades. Always use your own analysis and risk management. See TradingView’s House Rules for more details.
TrendMaster V2TrendMaster V2 is a comprehensive Pine Script indicator designed for TradingView. It combines multiple technical indicators and an advanced scoring logic to provide actionable trading signals. The script is highly customizable, allowing users to adjust trading modes, color themes, and signal filters according to their preferences and risk tolerance.
Key Features
Composite Scoring System:
The script calculates a composite score based on trend, momentum, pattern recognition, volume, volatility, divergence, Pearson correlation, and the CCI index. This score helps identify the best buy or sell opportunities.
Customizable Parameters:
Users can choose between “Aggressive,” “Balanced,” or “Conservative” trading modes, adjust indicator periods, and customize the color scheme of all visual elements.
Confluence Analysis:
The script evaluates the number of matching bullish or bearish signals, providing a confluence summary for higher-confidence trades.
Visual Signals:
Clear visual cues (triangles, circles, crosses) are displayed on the chart for strong buy/sell signals, confluences, and divergences.
Information Panels:
Two panels display real-time data such as score, RSI, volume, volatility, Pearson, CCI, trend, signal, and mode, along with the confluence status for quick reference.
Alert Conditions:
The script supports alerts for strong buy/sell signals, confluences, and divergences.
How It Works
Main Configuration:
Users select a trading mode (Aggressive, Balanced, or Conservative) and a color theme (Dark or Light).
Custom colors can also be set for bullish, bearish, strong, neutral, and signal elements.
Technical Indicators
Moving Averages (SMA/EMA) for trend analysis.
RSI to assess momentum and overbought/oversold conditions.
MACD for trend confirmation.
Volume and Volatility (ATR) for market activity evaluation.
Advanced Indicators
Pearson Correlation to measure trend strength.
CCI for cyclic momentum analysis.
Pattern Recognition
The script identifies common bullish and bearish reversal patterns (e.g., engulfing, hammer, morning/evening star) and continuation patterns (e.g., three white soldiers/black crows).
Composite Score
Each indicator contributes to a composite score, weighted according to the selected trading mode.
The score determines the strength of buy/sell signals.
Confluence Analysis
The script counts the number of matching bullish or bearish signals, providing a confluence summary for higher-confidence trades.
Visual Signals and Alerts
Strong buy/sell signals: triangles
Confluence signals: circles
Divergences: crosses
Alerts are triggered for strong buy/sell signals, confluences, and divergences.
Usage Instructions
Add the script to your TradingView chart.
Adjust the settings in the configuration panel to match your trading style.
Monitor the information panels and visual signals to spot trading opportunities.
Set up alerts for your preferred signal types.
Pyramid EnterPyramid Enter — Educational Position-Scaling Study
Purpose
Pyramid Enter is a lightweight, educational visualization of additive entries (“pyramiding into strength”). It’s designed to help you study how layered entries might line up during persistent trends. This script does not execute orders, make predictions, or provide financial advice. It simply shows where entry candidates could appear under a simple crossover framework with an optional trend filter.
How it works (concept)
Computes a fast EMA of your chosen Source (default: close).
Applies a user-selected Smoother (SMA/EMA/RMA/WMA/None) to create a slower reference line.
Marks an Enter candidate when the fast EMA crosses above the smoothed line.
Optional EMA 8/21 trend filter can be enabled to allow marks only when EMA(8) > EMA(21).
Includes an adaptive-on-flip option: if the 8/21 filter turns on, a one-time Enter candidate is allowed (useful for studying “first add after trend resumes”).
This is strictly a visual study of where entries might layer during momentum continuation — exits, risk, and sizing are intentionally out of scope so you can analyze those topics separately.
Inputs
Inputs
Length: Period of the fast EMA applied to Source.
Source: Price series used for the fast EMA.
Offset: Visual offset only; no effect on logic.
Smoothing
Type: Choose “SMA / EMA / RMA / WMA / None” for the reference line.
Length: Period for the smoothing type above.
Visualization
Show Labels: Toggle the on-chart Enter labels.
EMA 8/21 Filter
Enable EMA 8/21 Filter: Only mark when EMA(8) > EMA(21).
Fast EMA / Slow EMA: Lengths for the filter (defaults 8/21).
Plot Filter EMAs: Display the 8/21 lines for context.
Adaptive entry when filter flips ON: Allows a one-time Enter candidate on the bar the trend filter turns on (handy when studying re-acceleration after a pullback).
Visuals
White line: Fast EMA of Source.
Blue line: Selected smoother (your slower reference).
Labels: “Pyramid Enter” markers at candidate spots (intrabar + bar-close confirmation are handled internally to keep charts tidy).
No alerts are included. This tool is for chart study only.
Suggested study workflow
Context first — Add your higher-timeframe tools or moving averages to understand the broader regime.
Enable the 8/21 filter if you want to restrict labels to uptrends only.
Experiment with the smoother — SMA is simple, but EMA/RMA/WMA can change sensitivity.
Review clusters of “Pyramid Enter” labels during strong trends to learn where scaling could be considered in a rules-based process.
Pair with your risk framework — Because this script intentionally omits exits/position sizing, use it alongside your own stop, trailing, and de-risking logic for research.
Good citizens of the chart
No repainting tricks.
Marks follow standard EMA/smoothing crossovers with a simple state lock to avoid duplicates.
Designed to be lightweight and readable on any timeframe or symbol.
Limitations & notes
This is not a signal provider, trading system, or performance model.
Labels are educational candidates only; they do not imply profitability or suitability.
Past chart behavior does not guarantee future results. Always do your own research and practice risk management.
Compatibility
Works on all symbols/timeframes supported by TradingView.
Overlay: true (prints on price chart).
No alerts included by design.
Changelog
v1.0 — Initial public release: minimal visual study, optional 8/21 filter, adaptive flip option, no alerts.
License
Michael Culpepper Gratitude License — Free to use and modify for education and research. Please credit the author if you remix or share. Not for sale. No warranty.
Tags / Category (suggested)
Category: Trend Analysis / Educational Tools
Tags: pyramid, scaling, trend, ema, crossover, education, study
ES VIX on MNQ🧭 ES + VIX Overlay on MNQ
This indicator overlays the ES (S&P 500 futures) and VIX (Volatility Index) directly on the MNQ (Micro Nasdaq Futures) chart, allowing traders to visualize in real time the correlation, divergence, and volatility influence between the three instruments.
⸻
⚙️ How It Works
• The VIX is dynamically rescaled to the MNQ’s daily open, so its moves appear on the same price scale.
• The ES line is projected based on its percentage move relative to the session open (18:00 NY).
• Both are plotted in sync with MNQ to expose relative strength and divergence zones that often precede strong directional moves.
⸻
🧩 Inputs
• VIX Symbol: choose between VIX, CBOE:VIX, TVC:VIX
• Invert VIX Correlation: flips the VIX line for inverse-correlation setups
• VIX Step: controls how sensitively the VIX moves on the MNQ scale
• ES Symbol: defines the ES contract (e.g. ES1!)
• Show Signals: toggles on/off buy & sell markers
• Step (points): minimum distance between MNQ and VIX for a valid signal
• Block Signals: disables signals between 16:15 – 03:15 (illiquid hours)
⸻
💡 Signal Logic
The system tracks crossings between MNQ and the projected VIX line:
• Buy signal → when MNQ crosses above the VIX and expands upward by ≥ X points.
• Sell signal → when MNQ crosses below the VIX and expands downward by ≥ X points.
A time filter avoids noise during low-volume sessions.
⸻
📊 Visual Guide
• Cyan line = VIX on MNQ scale
• Orange line = ES on MNQ scale
• Labels on the right = current VIX / ES values
• BUY/SELL markers = potential volatility-based reversals
⸻
🚀 Practical Use
Perfect for traders who monitor:
• VIX–price divergence
• ES vs MNQ momentum confirmation
• Early volatility expansions before trend moves
⸻
💬 Core Idea:
“Volatility leads — price confirms.”
MTF Trend - Gold/XAU with DXY FilterI published this earlier and I had it on a chart with multiple other Indicators and It was very confusing so i am publishing it again on a clean chart
This Indicator is for Gold only buy can be used in other assets If the Filter toggle is turned off in the settings
This Indicator measures the strength of the Dollar Index which will determine the direction of the Gold asset
If the DXY is weak and all timeframes align then you can tide in that direction, the opposite is true foe a strong Dollar all timeframes must be opposite to the Dollar as as DXY and Gold trade together very well it also plots a large Triangle on the chart to warn of the Direction
You can trade however you wish but it is best to sell gold when Dollar is strong and buy gold when Dollar is weak, money is moved from Dollar to Gold and Gold to Dollar when weak and strong
oppliger trendfollow📈 Strategy Overview: SMA25 vs SMA200 – Gap Momentum Trend Strategy
This strategy is a trend-following system designed to capture strong, accelerating uptrends while exiting early when momentum begins to fade.
It uses the relationship between two moving averages — the 25-period SMA and the 200-period SMA — and monitors the gap (distance) between them as a measure of trend strength.
🟢 Entry Conditions (Go Long)
A long position is opened only when all of the following conditions are true:
Uptrend confirmation:
The 25-period SMA is above the 200-period SMA
→ confirms a clear upward trend.
Price momentum:
The closing price is above the SMA25 line,
→ showing that the market currently trades with bullish momentum.
Trend acceleration:
The gap between SMA25 and SMA200 has been increasing for the last 5 consecutive bars.
→ mathematically:
gap_t > gap_(t-1) > gap_(t-2) > gap_(t-3) > gap_(t-4)
→ indicates that the short-term trend is pulling away from the long-term trend and accelerating upward.
✅ When all three conditions are met, the strategy enters a long trade at the close of the current candle.
🔴 Exit Conditions (Close Long)
The position is closed when the uptrend starts to lose strength:
Trend deceleration:
The gap between SMA25 and SMA200 has been shrinking for 3 consecutive bars.
→ mathematically:
gap_t < gap_(t-1) < gap_(t-2)
→ signals that the short-term moving average is converging toward the long-term average, showing weakening momentum.
🚪 When this condition is met, the strategy closes the position at market price.
⚙️ Summary of Logic
Phase Condition Meaning
Entry SMA25 > SMA200 Long-term trend is up
Entry Close > SMA25 Short-term momentum is bullish
Entry Gap rising 5 bars Trend is accelerating
Exit Gap falling 3 bars Trend is weakening
💡 Interpretation
This strategy aims to:
Enter only when a strong, accelerating uptrend is confirmed.
Stay in the trade as long as momentum remains intact.
Exit early when the market starts losing strength, before the trend fully reverses.
It works best in trending markets and helps avoid false entries during sideways or weak phases.
Dual DWMA🔹 Dual DWMA Indicator - حلقه اولیها
This indicator displays two Double-Weighted Moving Averages (DWMA) with customizable settings:
✅ Fast Line (DWMA 1): Default 50 periods
✅ Slow Line (DWMA 2): Default 200 periods
✅ Dynamic color highlighting based on trend direction
✅ Cross signals for bullish/bearish crossovers
✅ Fully customizable colors and line widths
✅ Alert conditions for automated notifications
📊 Usage:
- Use fast line for short-term trends
- Use slow line for long-term trends
- Watch for crossovers as potential entry/exit signals
🎯 Exclusive for Halghe Avaliha Group
📧 Contact: majid.tafahomi@gmail.com
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🔹 اندیکاتور دوگانه DWMA - حلقه اولیها
این اندیکاتور دو میانگین متحرک وزندار دوگانه (DWMA) را با تنظیمات قابل تغییر نمایش میدهد:
✅ خط سریع: پیشفرض 50 دوره
✅ خط کند: پیشفرض 200 دوره
✅ رنگبندی پویا بر اساس جهت روند
✅ سیگنالهای تقاطع صعودی/نزولی
✅ رنگها و ضخامت خطوط قابل تنظیم
✅ هشدارهای خودکار
📊 نحوه استفاده:
- از خط سریع برای روندهای کوتاهمدت
- از خط کند برای روندهای بلندمدت
- تقاطع خطوط = سیگنال ورود/خروج احتمالی
🎯 اختصاصی برای گروه حلقه اولیها
RastaRasta — Educational Strategy (Pine v5)
Momentum · Smoothing · Trend Study
Overview
The Rasta Strategy is a visual and educational framework designed to help traders study momentum transitions using the interaction between a fast-reacting EMA line and a slower smoothed reference line.
It is not a signal generator or profit system; it’s a learning tool for understanding how smoothing, crossovers, and filters interact under different market conditions.
The script displays:
A primary EMA line (the fast reactive wave).
A Smoothed line (using your chosen smoothing method).
Optional fog zones between them for quick visual context.
Optional DNA rungs connecting both lines to illustrate volatility compression and expansion.
Optional EMA 8 / EMA 21 trend filter to observe higher-time-frame alignment.
Core Idea
The Rasta model focuses on wave interaction. When the fast EMA crosses above the smoothed line, it reflects a shift in short-term momentum relative to background trend pressure. Cross-unders suggest weakening or reversal.
Rather than treating this as a trading “signal,” use it to observe structure, study trend alignment, and test how smoothing type affects reaction speed.
Smoothing Types Explained
The script lets you experiment with multiple smoothing techniques:
Type Description Use Case
SMA (Simple Moving Average) Arithmetic mean of the last n values. Smooth and steady, but slower. Trend-following studies; filters noise on higher time frames.
EMA (Exponential Moving Average) Weights recent data more. Responds faster to new price action. Momentum or reactive strategies; quick shifts and reversals.
RMA (Relative Moving Average) Used internally by RSI; smooths exponentially but slower than EMA. Momentum confirmation; balanced response.
WMA (Weighted Moving Average) Linear weights emphasizing the most recent data strongly. Intraday scalping; crisp but potentially noisy.
None Disables smoothing; uses the EMA line alone. Raw comparison baseline.
Each smoothing method changes how early or late the strategy reacts:
Faster smoothing (EMA/WMA) = more responsive, good for scalping.
Slower smoothing (SMA/RMA) = more stable, good for trend following.
Modes of Study
🔹 Scalper Mode
Use short EMA lengths (e.g., 3–5) and fast smoothing (EMA or WMA).
Focus on 1 min – 15 min charts.
Watch how quick crossovers appear near local tops/bottoms.
Fog and rung compression reveal volatility contraction before bursts.
Goal: study short-term rhythm and liquidity pulses.
🔹 Momentum Mode
Use moderate EMA (5–9) and RMA smoothing.
Ideal for 1 H–4 H charts.
Observe how the fog color aligns with trend shifts.
EMA 8 / 21 filter can act as macro bias; “Enter” labels will appear only in its direction when enabled.
Goal: study sustained motion between pullbacks and acceleration waves.
🔹 Trend-Follower Mode
Use longer EMA (13–21) with SMA smoothing.
Great for daily/weekly charts.
Focus on periods where fog stays unbroken for long stretches — these illustrate clear trend dominance.
Watch rung spacing: tight clusters often precede consolidations; wide rungs signal expanding volatility.
Goal: visualize slow-motion trend transitions and filter whipsaw conditions.
Components
EMA Line (Red): Fast-reacting short-term direction.
Smoothed Line (Yellow): Reference trend baseline.
Fog Zone: Green when EMA > Smoothed (up-momentum), red when below.
DNA Rungs: Thin connectors showing volatility structure.
EMA 8 / 21 Filter (optional):
When enabled, the strategy will only allow Enter events if EMA 8 > EMA 21.
Use this to study higher-trend gating effects.
Educational Applications
Momentum Visualization: Observe how the fast EMA “breathes” around the smoothed baseline.
Trend Transitions: Compare different smoothing types to see how early or late reversals are detected.
Noise Filtering: Experiment with fog opacity and smoothing lengths to understand trade-off between responsiveness and stability.
Risk Concept Simulation: Includes a simple fixed stop-loss parameter (default 13%) for educational demonstrations of position management in the Strategy Tester.
How to Use
Add to Chart → “Strategy.”
Works on any timeframe and instrument.
Adjust Parameters:
Length: base EMA speed.
Smoothing Type: choose SMA, EMA, RMA, or WMA.
Smoothing Length: controls delay and smoothness.
EMA 8 / 21 Filter: toggles trend gating.
Fog & Rungs: visual study options only.
Study Behavior:
Use Strategy Tester → List of Trades for entry/exit context.
Observe how different smoothing types affect early vs. late “Enter” points.
Compare trend periods vs. ranging periods to evaluate efficiency.
Combine with External Tools:
Overlay RSI, MACD, or Volume for deeper correlation analysis.
Use replay mode to visualize crossovers in live sequence.
Interpreting the Labels
Enter: Marks where fast EMA crosses above the smoothed line (or when filter flips positive).
Exit: Marks where fast EMA crosses back below.
These are purely analytical markers — they do not represent trade advice.
Educational Value
The Rasta framework helps learners explore:
Reaction time differences between moving-average algorithms.
Impact of smoothing on signal clarity.
Interaction of local and global trends.
Visualization of volatility contraction (tight DNA rungs) and expansion (wide fog zones).
It’s a sandbox for studying price structure, not a promise of profit.
Disclaimer
This script is provided for educational and research purposes only.
It does not constitute financial advice, trading signals, or performance guarantees. Past market behavior does not predict future outcomes.
Users are encouraged to experiment responsibly, record observations, and develop their own understanding of price behavior.
Author: Michael Culpepper (mikeyc747)
License: Educational / Open for study and modification with credit.
Philosophy:
“Learning the rhythm of the market is more valuable than chasing its profits.” — Rasta
3 EMAs CustomizablesIt consists of 3 EMAs, each of which can be customized — you can change colors, thickness, and periods according to your trading strategy to save space on the indicators.
1H Early Pivot (arrows + stem) by Pastor CarrThis indicator helps to find early pivot points on the IH chart.
RSI MTF Table - 12 Pairs (1,5,15)
The relative strength index measures the speed and magnitude of an asset's recent price changes. Therefore, it is considered a momentum indicator in technical analysis. Essentially, the RSI is the ratio of the days an asset's value increases to decreases over a given period.
Generally speaking, if the RSI is around 50, we do not expect strong movements. RSI above 65 or below 35 are areas we expect. In this context, this chart and the general momentum in 1-5-15 minutes allow us to quickly determine the parity we will trade. It is useful for intraday trading and scalping.
ES on MNQES on MNQ — ES percent-move overlay on the MNQ price scale.
Overview
This indicator projects the ES’s intraday percent change since session open onto the MNQ price scale. At the session start (18:00 chart time), it stores the ES open and the MNQ open, tracks ES’s percentage move from that anchor, and applies the same percent move to the MNQ open. The result is a single line that behaves like ES but is plotted in MNQ points—useful for spotting convergence/divergence, failed breaks, and mean-reversion setups between ES and MNQ.
How it works
1. Detects session open (18:00 on your chart).
2. Saves ES_open and MNQ_open.
3. Computes pct = (ES_close - ES_open) / ES_open.
4. Plots MNQ_open * (1 + pct) as the ES-on-MNQ line.
A label on the last bar shows the current ES value for quick reference.
Inputs
• ES Symbol: default ES1! (change if you use a different continuous).
• Line Color: color of the overlaid ES-on-MNQ line.
Works best on intraday timeframes and when your chart’s session aligns with ES.
Why it’s useful
• Highlights divergences (MNQ decoupling from ES baseline).
• Aids confirmation on pullbacks/breakouts when MNQ’s move disagrees with the ES-based projection.
• Helps risk control by flagging stretches likely to revert toward the ES-anchored path.
Notes & limitations
• This is a percent-rebasing overlay, not a hedge ratio, fair value, or spread model.
• Session/timezone settings matter; if your feed doesn’t print exactly at 18:00 on a higher timeframe, use a smaller TF or adjust session settings.
• Minor differences between ES (full) and MNQ (micro) and data latency can create small offsets.
Disclaimer
For educational use only. Not financial advice. Use proper risk management.
VIX on MNQVIX on MNQ — VIX percent-move overlay on the MNQ price scale (daily-open anchor, optional inversion)
Overview
This indicator projects the VIX’s intraday percent change from the daily open onto the MNQ price scale. It takes today’s open for both VIX and MNQ, measures the VIX’s percentage move since that open, optionally inverts it (given the typical inverse relationship), and applies a scale factor to fit that move onto MNQ’s price axis. The result is a single line that reflects VIX dynamics but is plotted in MNQ points—great for reading risk-on/risk-off tone, spotting divergences, and timing mean-reversion around volatility spikes.
How it works
• Fetches VIX close on your chart timeframe and today’s open for VIX and MNQ.
• Computes pct = (VIX_close − VIX_open) / VIX_open.
• Optionally multiplies by −1 (invert) and then by a Scale Factor to compress amplitude.
• Plots MNQ_open * (1 + pct * (invert? −1 : 1) * scaleFactor) as the VIX-on-MNQ line.
• Adds a last-bar label with the current VIX value and a small info panel (VIX, % change, scaled level).
Inputs
• VIX Symbol: VIX, CBOE:VIX, or TVC:VIX (pick the one that matches your data feed).
• VIX Line Color: color of the overlay line.
• Invert VIX: flip the sign to reflect inverse correlation with MNQ.
• Scale Factor (default 0.05): tune how much of the VIX move is mapped onto MNQ points.
Why it’s useful
• Surfaces volatility-led divergences: when MNQ’s path disagrees with VIX’s risk signal.
• Helps confirm/fade breakouts and pullbacks during volatility expansions/compressions.
• Provides a quick, visual “volatility baseline” directly on the MNQ chart without juggling two panes.
Notes & limitations
• This is a percent-rebased overlay, not a hedge ratio, fair value, or spread model.
• It anchors to the current day’s open; session/timezone settings and your VIX symbol choice (CBOE:VIX vs TVC:VIX) can affect exact prints.
• The scale factor is intentionally manual—adjust until the overlay’s swings are visually informative for your setup.
Disclaimer
For educational use only. Not financial advice. Always manage risk.
Nifty 50 - Close 90+ Points Above Open1 hr candle move more than 90 points.
I have created this to short or long nifty future keeping the low of the bullish candle and high of the bearish candle as SL
ES on MNQES on MNQ — ES percent-move overlay on the MNQ price scale
Overview
This indicator projects the ES’s intraday percent change since session open onto the MNQ price scale. At the session start (18:00 global chart time), it stores the ES open and the MNQ open, tracks ES’s percentage move from that anchor, and applies the same percent move to the MNQ open. The result is a single line that behaves like ES but is plotted in MNQ points—useful for spotting convergence/divergence, failed breaks, and mean-reversion setups between ES and MNQ.
How it works
1. Detects session open (18:00 on your chart).
2. Saves ES_open and MNQ_open.
3. Computes pct = (ES_close - ES_open) / ES_open.
4. Plots MNQ_open * (1 + pct) as the ES-on-MNQ line.
A label on the last bar shows the current ES value for quick reference.
Inputs
• ES Symbol: default ES1! (change if you use a different continuous).
• Line Color: color of the overlaid ES-on-MNQ line.
Works best on intraday timeframes and when your chart’s session aligns with ES.
Why it’s useful
• Highlights divergences (MNQ decoupling from ES baseline).
• Aids confirmation on pullbacks/breakouts when MNQ’s move disagrees with the ES-based projection.
• Helps risk control by flagging stretches likely to revert toward the ES-anchored path.
Notes & limitations
• This is a percent-rebasing overlay, not a hedge ratio, fair value, or spread model.
• Session/timezone settings matter; if your feed doesn’t print exactly at 18:00 on a higher timeframe, use a smaller TF or adjust session settings.
• Minor differences between ES (full) and MNQ (micro) and data latency can create small offsets.
Disclaimer
For educational use only. Not financial advice. Use proper risk management.
