Indicators and strategies
market_trend_libLibrary "market_trend_lib"
market_trend(adxPeriod, adxThresh)
Parameters:
adxPeriod (simple int)
adxThresh (float)
Forex Fire Sling Shot with Trade ManagementForex Fire Sling Shot Indicator with Trade Management
Description
The Forex Fire Sling Shot Indicator is a comprehensive trading system designed specifically for forex markets. It combines trend analysis, momentum confirmation, and advanced trade management features to help traders identify high-probability trading opportunities.
This indicator provides clear entry signals based on multiple EMA crossovers with MACD confirmation, while incorporating professional trade management tools including automatic stop loss calculation, take profit targets, and breakeven management.
Key Features
Triple EMA Trend Analysis: Uses 15, 50, and 200 EMAs to identify trend direction and entry points
MACD Confirmation: Optional MACD filter for enhanced signal reliability
Premium Signals: Strict entry criteria combining EMA crossover with MACD crossover
Automatic Trade Management: Calculates entry, stop loss, and take profit levels
Breakeven Management: Automatically adjusts stop loss to breakeven at predetermined profit levels
Visual Trade Setup: Displays trade management levels with clear labels
Status Dashboard: Real-time display of current market conditions
Alert System: Built-in alerts for premium trading signals
How to Use
Setup
Add the indicator to any forex chart (recommended timeframes: 1H, 4H, Daily)
Ensure your chart is clean without overlapping indicators
Configure input parameters according to your trading style
Signal Identification
Premium Buy Signal (Diamond Below Bar)
15 EMA crosses above 50 EMA
Price is above 200 EMA (bullish trend)
MACD line crosses above signal line
Green diamond appears below candle
Premium Sell Signal (Diamond Above Bar)
15 EMA crosses below 50 EMA
Price is below 200 EMA (bearish trend)
MACD line crosses below signal line
Fuchsia diamond appears above candle
Trade Execution
When a premium signal appears:
Entry:
Buy: Place order above the signal candle's high
Sell: Place order below the signal candle's low
Stop Loss:
Buy: Lowest low of the past 5 candles (adjustable)
Sell: Highest high of the past 5 candles (adjustable)
Take Profit:
Automatically calculated based on your Risk-Reward ratio (default 1:1.5)
Breakeven Management:
Stop loss moves to breakeven when trade reaches 50% of target (adjustable)
Input Parameters
EMA Settings
Short EMA Period (default: 15)
Long EMA Period (default: 50)
Trend EMA Period (default: 200)
MACD Settings
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Require MACD Confirmation (default: true)
Trade Management
Risk-Reward Ratio (default: 1.5)
Stop Loss Lookback Candles (default: 5)
Move SL to Breakeven at % of TP (default: 0.5)
Show Trade Management Labels (default: true)
Alert Settings
Enable Premium Signal Alerts (default: true)
Status Dashboard
The top-right dashboard displays:
MACD Signal status (Bullish/Bearish/Cross)
Overall Trend direction
Current Signal status
Trade Setup details (if active)
Risk-Reward information
Breakeven status
Visual Elements
Green Line: 15 EMA (Fast)
Red Line: 50 EMA (Medium)
Black Line: 200 EMA (Trend)
Yellow Lines: Entry levels
Red Lines: Stop loss levels
Green Lines: Take profit levels
Blue Lines: Breakeven levels
Purple Lines: Breakeven trigger levels
Trading Tips
Only trade premium signals in the direction of the trend (above/below 200 EMA)
Wait for candle close before entering trades
Use higher timeframes for better signal reliability (4H, Daily)
Consider market sessions and major news events
Always use proper position sizing based on your account risk
Risk Disclaimer
This indicator is for educational and informational purposes only. Trading forex involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and risk management.
Updates and Support
The indicator includes built-in alerts for premium signals. To set up alerts:
Right-click on the chart
Select "Add Alert"
Choose "Forex Fire Sling Shot with Trade Management"
Select either "Premium Fire Sling Shot Buy" or "Premium Fire Bear Sling Sell"
For questions or support, please use the comments section below the indicator.
Fib + OB Confluence Zones [Jose Tristan Optimized]Fib + OB Confluence Zones
This indicator plots Fibonacci zones from 60m, 90m, and 4H candles, highlighting confluence areas where multiple fib levels align. It also detects bullish and bearish order blocks on 15m, 5m, and 3m timeframes. Confluence zones and OBs are only shown when overlapping conditions are met, helping identify high-probability reversal or continuation zones. Optional trend filtering using the 200 EMA is included to refine signals based on market direction.
On Balance Volume W DivergenceOBV With Divergence Indicator
A comprehensive On Balance Volume (OBV) indicator enhanced with divergence detection capabilities.
Core Features:
Classic OBV calculation with volume-based price movement tracking
Advanced divergence detection system
Multiple smoothing options for OBV
Bollinger Bands integration
Technical Components:
Volume-based price movement analysis
Pivot point detection for divergence
Customizable lookback periods
Adjustable divergence range parameters
Customization Options:
Multiple Moving Average types (SMA, EMA, SMMA, WMA, VWMA)
Bollinger Bands with adjustable standard deviation
Divergence sensitivity settings
Visual customization for signals and alerts
The indicator combines traditional OBV analysis with modern divergence detection, offering traders a powerful tool for identifying potential trend reversals and market momentum shifts.
Key Parameters:
- Pivot Lookback Right/Left: 5 (default)
- Divergence Range: 5-60 bars
- MA Length: 14 (default)
- BB StdDev: 2.0 (default)
Alert System:
- Bullish divergence alerts
- Bearish divergence alerts
- Customizable alert messages
Note: The indicator requires volume data to function properly and will display an error if volume data is not available.
Ultimate Adaptive Multi-Regime Trading System🧩 What is the UA-MTS Indicator?
UA-MTS is an intelligent trading indicator built for scalping, day trading, and adaptive decision-making. It analyzes price action, trend, volatility, volume, and patterns across multiple timeframes to give traders clear, context-aware buy and sell signals.
It’s like having a smart assistant on your chart that tells you:
What kind of market you’re in (trend, range, volatility, etc.)
What patterns are forming and how reliable they are
When a high-confidence trade opportunity appears
How far price might go next (via projection lines)
⚙️ What Does It Do?
Detects Market Regime
Identifies whether the market is Trending, Ranging, Volatile, Accumulating, or Distributing
Adjusts strategy logic based on the regime
Scans for Patterns
Finds smart price patterns (like engulfing, divergences, fractals, head & shoulders)
Evaluates pattern quality and importance
Uses AI-like Logic
Includes a mini neural network that digests market data and projects price movement
Confirms with Volume and Volatility
Filters out weak signals based on how strong the volume and volatility are
Gives Trade Signals
Shows Buy or Sell markers with scores and confidence %
Highlights high-quality trades with a star (★)
Visual Tools
Confidence bands (projected price range)
Prediction lines
Color-coded market regime
🕹 How to Use It (in TradingView)
Use the Regime Label
Bottom of chart will say "Regime: Trending (80%)" or similar
Trust trend signals more in Trending regime, reversal patterns more in Ranging
Enable Multi-Timeframe Analysis (optional)
It blends data from multiple timeframes (like 1m + 5m + 15m) to sharpen signal logic
Confirm Before Entering
Look at the Score and Confidence %
Use it with other tools like support/resistance or price structure for even better entries
📈 Best Use Cases
Scalping on 1m/5m/15m charts
Day trading breakouts or reversals
Filtering trades during sideways markets
Avoiding traps in high volatility
Projecting short-term price direction
SS Galaxy TRI-Force Setup EMASuper trend Indicator (to identify trend direction and reversals)
10 EMA and 21 EMA Crossover (to time entry and exit)
Adaptive Momentum Oscillator [LuxAlgo]The Adaptive Momentum Oscillator tool allows traders to measure the current relative momentum over a given period using the maximum delta in price.
It features a histogram with gradient color, divergences, and an adaptive moving average that allows traders to clearly see the smoothed trend direction.
🔶 USAGE
This unbounded oscillator has positive momentum when values are above 0 and negative momentum when values are below 0. The adaptive moving average is used as a minimum lag smoothing tool over the momentum histogram.
🔹 Signal Line
There are two main uses for the signal line drawn on the chart above.
Momentum crosses above or below the signal line: acceleration in momentum.
Signal line crosses the 0 value: positive or negative momentum.
🔹 Data Length
On the chart above, we can compare different length sizes and how the tool values change, allowing traders to get a shorter or longer-term view of current market strength.
🔹 Smoothing Length
In the previous figure, we can compare how different Smoothing Length values affect the oscillator output.
🔹 Divergences
The divergence detector is disabled by default. Traders can enable it and adjust the divergence length from the settings panel.
As we can see in the chart above, by changing the length of the divergences, traders can fine-tune their detection, a small number will detect smaller divergences, and use a larger number for larger divergences.
🔶 SETTINGS
Data: Select data source, close price by default
Data Length: Select the length for data gathering
Smoothing Length: Select the length for data smoothing
Divergences: Enable/Disable divergences detection and length
Quantis Nexus ProQuantis Nexus Pro is an advanced multi-moving average visualization and signal tool designed for active traders. It includes five types of moving averages (MA, EMA, HMA, WMA, ALMA) along with Parabolic SAR, enriched with:
🔹 Golden/Death Cross signals
🔹 Cross detection between short and long-term MAs
🔹 Volatility filter using ATR
🔹 Signal-based background coloring
🔹 Interactive labels and signal arrows
🔹 A real-time info panel displaying RSI, MACD, Stoch RSI, and more
Key Features
Customizable Display: Select which MAs to view (short/mid/long) for each type.
Dynamic Signal Detection: See crossover signals for each MA pair.
Golden/Death Cross Alerts: Clearly marked label events for long-term trend changes.
Volatility Awareness: ATR-based filter highlights market conditions.
Signal Arrows and Background Highlights: Make trend shifts easier to spot.
Informative Dashboard Panel: Provides instant access to momentum and volatility metrics.
Who It's For
Ideal for day traders, swing traders, and strategy developers looking to:
Identify precise crossover entry points
Detect long-term trend reversals
Gauge volatility to avoid noise during low-activity periods
This script does not repaint, and all calculations are based on bar-close logic.
* Türkçe Açıklama *
Quantis Nexus Pro – Çoklu Hareketli Ortalama ve Sinyal Motoru
Bu gösterge; MA, EMA, HMA, WMA, ALMA ve SAR çizgilerini, bunların kısa/orta/uzun vadeli versiyonlarını, kesişim sinyallerini (crossover), golden/death cross durumlarını, volatilite filtresini, renkli arka plan uyarılarını ve bilgi panelini bir arada sunar.
Kullanıcı, gösterge menüsünden hangi çizgilerin gösterileceğini seçebilir.
Ayrıca RSI, MACD, Stokastik ve ATR gibi göstergeler de alt panelde özetlenmiştir.
ATR in Percentagethe script calculates ATR in percentage instead of money units, useful for comparison
Created by me using ChatGPT orders.
hope it is useful you can put alerts too
NY Open Market Condition Analyzer – TTR & RI - Beta 0.1.3📌 NY Open Market Condition Analyzer – TTR & RI - Beta 0.1.3
Built for NQ/MNQ scalpers who thrive on structure, this indicator evaluates market conditions at the New York Open (6:30–8:30AM PST) and only flashes green when high-probability conditions align.
📊 Core Filters
TTR (Total Trading Range): Measures volatility from 2:00–6:30AM PST
5-Min Candle Body: Captures the size of the opening impulse
VWAP Distance: Gauges market expansion from a mean
MNQ/MES Divergence: Confirms directional alignment between indices
UT Bot Alerts: Integrates an ATR/EMA-based trend confirmation system
🎯 Primary Objective
Filter out weak sessions and trade only when structure supports movement.
Avoid choppy Mondays and Fridays unless volatility proves otherwise
Combine system rules with momentum-based confluence
Preserve your edge and mental capital by only trading when it’s worth it
✅ Features
Smart Session Filter Logic:
Premarket Range ≥ X pts
Opening 5-Min Candle Body ≥ Y pts
VWAP Distance ≥ Z pts
Divergence filter to ensure MNQ & MES are not in conflict
UT Bot Buy Signal required (if enabled)
Visual Feedback:
Colored background: 🟩 GOOD or 🟥 SKIP
Chart labels: GOOD SETUP or SKIP SESSION
Optional UT Bot signal markers (Buy)
Toggle visibility for GOOD and SKIP signals
Dashboard Panel (top-right):
Displays real-time data for all active filters
Premarket Range
5-Min Candle Body
VWAP Distance
Divergence Status
UT Bot Buy Signal
Final Verdict: ✅ GOOD or ⚠️ SKIP
🔔 How to Use Alerts
Click the “Alerts” (🔔) tab
Create a new alert
Condition: NY Open Market Condition Analyzer – TTR & RI + UT Bot → Good Setup Alert
Set action (push, webhook, etc.)
Use “Once Per Bar” for 1-minute charts
🧠 Best For:
MNQ/NQ scalpers
Traders using MAS Capital’s Reversal Indicator
1R–2R scalping models (10–30pt targets)
Traders looking for pre-trade confirmation based on structure AND momentum
MACD Trump/Biden MarketThis unique indicator visually distinguishes between two distinct market regimes by displaying bold, dynamic labels directly on the chart. The indicator aims to capture shifts in market sentiment, highlighting bullish and bearish phases in a way that's easy to interpret at a glance.
When the market is in a favorable phase, a green box labeled "Trump Market" appears, signaling positive conditions. Conversely, during challenging phases, a red box labeled "Biden Market" is displayed.
This tool is perfect for traders looking to quickly identify shifts in market dynamics and make informed decisions based on the current market environment. Use it to enhance your trading strategy and stay ahead of sudden changes.
SAN BTC StochRSI Indicator with RSI and KGS SMA (Daily)buys bitcoin if below SMA 2, stoch as oversold and RSI above oversold, take 100 % profit after stoch RSI is overbought and Stoch RSI is overbought, SL in SMA3
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Candle Rating (1–5)This “Candle Rating (1–5)” indicator measures where each bar’s close sits within its own high-low range and assigns a simple strength score:
Range Calculation
It computes the candle’s total range (high − low) and finds the close’s position as a percentage of that range (0 = close at low, 1 = close at high).
Five-Point Rating
1 (Strong Buy): Close in the top 20% of the range
2 (Moderate Buy): 60–80%
3 (Neutral): 40–60%
4 (Moderate Sell): 20–40%
5 (Strong Sell): Bottom 20%
Visual Feedback
It plots the numeric rating above each bar (colored green → red), giving you an at-a-glance read of candle momentum and potential reversal strength across any timeframe.
Dealing rangeHi all!
This indicator will show you the current dealing range. The concept of dealing range comes from the inner circle trader (ICT) and gives you a range between an established swing high and an established swing low (the length of these pivots can be changed in settings parameter Length and defaults to 5/2 (left/right)). These swing points must have taken out liquidity to be considered "established". The liquidity that must be grabbed by the swing point has to be a pivot of left length of 1 and a right length of 1.
The dealing range that's created should be used in conjunction with market structure. This could be done through scripts (maybe the Market structure script that I published ()) or manually. It's a common approach to look for long opportunities when the trend is bullish and price is currently in the discount zone of the dealing range. If the trend is bearish then short opportunities are presented when the price is currently in the premium zone of the dealing range.
The zones within the dealing range are premium and discount that are split on the 50% level of the dealing range. These zones can be split into 3 zone with a Fair price (also called Fair value ) zone in between premium and discount. This makes the premium zone to be in the upper third of the dealing range, fair price in the middle third and discount in the lower third. This can be enabled in the settings through the Fair price parameter.
Enabled:
You can choose to enable/disable the visualisation of liquidity grabs and the External liquidity available above and below the swing points that created the dealing range.
Enabled:
Disabled:
Enabled on a higher timeframe (will display a box of the liquidity grab price instead of a label):
This dealing range is configurable to be created by a higher timeframe then the visible charts. Use the setting Higher timeframe to change this.
You can force candles to be closed (for liquidity and swing points). Please note that if you use a higher timeframe then the visible charts the candles must be closed on this timeframe.
Lastly you can also change the transparency of liquidity grabs and external liquidity outside of the dealing range. Use the Transparency setting to change this (a lower value will lead to stronger visuals).
If you have any input or suggestions on future features or bugs, don't hesitate to let me know!
Best of trading luck!
RSI + Price Cycle Predictor (Final Momentum Version)The RSI Cycle Predictor is a powerful indicator designed to help traders identify potential market reversals with precision.
How it works:
Detects confirmed swing highs and lows in the RSI, combined with price action.
Measures average time cycles between past reversals.
Uses momentum weakening as a filter to highlight only the strongest signals.
Displays a confidence score (σ) to show how reliable the timing is.
Trading logic:
Enter Buy (Long) when a green signal appears.
Exit Buy and Enter Sell (Short) when a red signal appears.
Alternate positions based on each signal, always holding one position.
Best for:
Swing traders
Cycle-based trading strategies
Enhancing timing precision in entries and exits
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
________________________________________
How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
________________________________________
How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
________________________________________
Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
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TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
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How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
________________________________________
As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
________________________________________
Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Nifty Straddle Monitor with VWAP & KeltnerHere is the complete Pine Script for Nifty Straddle + VWAP + Keltner Channels, designed to monitor the total premium of a Nifty ATM straddle. It plots the live prices of the call and put, their sum, and overlays Keltner Channels and VWAP from the underlying Nifty index.
Camarilla Pivot Plays█ OVERVIEW
This indicator implements the Camarilla Pivot Points levels and a system for suggesting particular plays. It only calculates and shows the 3rd, 4th, and 6th levels, as these are the only ones used by the system. In total, there are 12 possible plays, grouped into two groups of six. The algorithm constantly evaluates conditions for entering and exiting the plays and indicates them in real time, also triggering user-configurable alerts.
█ CREDITS
The Camarilla pivot plays are defined in a strategy developed by Thor Young, and the whole system is explained in his book "A Complete Day Trading System" . The indicator is published with his permission, and he is a user of it. The book is not necessary in order to understand and use the indicator; this description contains sufficient information to use it effectively.
█ FEATURES
Automatically draws plays, suggesting an entry, stop-loss, and maximum target
User can set alerts on chosen ticker to call these plays, even when not currently viewing them
Highly configurable via many options
Works for US/European stocks and US futures (at least)
Works correctly on both RTH and ETH charts
Automatically switches between RTH and ETH data
Optionally also shows the "other" set of pivots (RTH vs ETH data)
Configurable behaviour in the pre-market, not active in the post-market
Configurable sensitivity of the play detection algorithm
Can also show weekly and monthly Camarilla pivots
Well-documented options tooltips
Sensible defaults which are suitable for immediate use
Well-documented and high-quality open-source code for those who are interested
█ HOW TO USE
The defaults work well; at a minimum, just add the indicator and watch the plays being called. To avoid having to watch securities, by selecting the three dots next to the indicator name, you can set an alert on the indicator and choose to be alerted on play entry or exit events—or both. The following diagram shows several plays activated in the past (with the "Show past plays" option selected).
By default, the indicator draws plays 5 days back; this can be changed up to 20 days. The labels can be shifted left/right using the "label offset" option to avoid overlapping with other labels in this indicator or those of another indicator.
An information box at the top-right of the chart shows:
The data currently in use for the main pivots. This can switch in the pre-market if the H/L range exceeds the previous day's H/L, and if it does, you will see that switch at the time that it happens
Whether the current day's pivots are in a higher or lower range compared to the previous day's. This is based on the RTH close, so large moves in the post-market won't be reflected (there is an advanced option to change this)
The width of the value relationship in the current day compared to the previous day
The currently active play. If multiple plays are active in parallel, only the last activated one is shown
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind. Plays will always use the correct colour, drawing over the pivots. For example, R4 is red by default, but if a play treats R4 as a support, then the play will draw a green line (by default) over the red R4 line, thereby hiding it while the play is active.
There are a few advanced parameters; leave these as default unless you really know what they do. Please note the script is complicated—it does a lot. You might need to wait a few seconds while it (re)calculates on new tickers or when changing options. Give it time when first loading or changing options!
█ CONCEPTS
The indicator is focused around daily Camarilla pivots and implements 12 possible plays: 6 when in a higher range, 6 when in a lower range. The plays are labelled by two letters—the first indicates the range, the second indicates the play—as shown in this diagram:
The pivots can be calculated using only RTH (Regular Trading Hours) data, or ETH (Extended Trading Hours) data, which includes the pre-market and post-market. The indicator implements logic to automatically choose the correct data, based on the rules defined by the strategy. This is user-overridable. With the default options, ETH will be used when the H/L range in the previous day's post-market or current day's pre-market exceeds that of the previous day's regular market. In auto mode, the chosen pivots are considered the main pivots for that day and are the ones used for play evaluation. The "other" pivots can also be shown—"other" here meaning using ETH data when the main pivots use RTH data, and vice versa.
When displaying plays in the pre-market, since the RTH open is not yet known (and that value is needed to evaluate play pre-conditions), the pre-market open is used as a proxy for the RTH open. After the regular market opens, the correct RTH open is used to evaluate play conditions.
█ NOTE FOR FUTURES
Futures always use full ETH data in auto mode. Users may, however, wish to use the option "Always use RTH close," which uses the 3 p.m. Central Time (CME/Chicago) as a basis for the close in the pivot calculations (instead of the 4 p.m. actual close).
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example (CME is in Chicago, so all times are Central Time, i.e., 1 hour behind Eastern Time). It trades from 17:00 Sunday to 16:00 Friday, with a daily pause between 16:00 and 17:00. However, most of the trading activity is done between 08:30 and 15:00 (Central), which you can tell from the volume spikes at those times, and this coincides with NYSE/NASDAQ regular hours (09:30–16:00 Eastern). So we define a pseudo-pre-market from 17:00 the previous day to 08:30 on the current day, then a pseudo-regular market from 08:30 to 15:00, then a pseudo-post-market from 15:00 to 16:00.
The indicator then works exactly the same as with equities—all the options behave the same, just with different session times defined for the pre-, regular, and post-market, with "RTH" meaning just the regular market and "ETH" meaning all three. The only difference from equities is that the auto calculation mode always uses ETH instead of switching based on ETH range compared to RTH range. This is so users who just leave all the defaults are not confused by auto-switching of the calculation mode; normally you'll want the pivots based on all the (ETH) data. However, both "Force RTH" and "Use RTH close with ETH data" work the same as with equities—so if, in the calculations, you really want to only use RTH data, or use all ETH H/L data but use the RTH close (at 15:00), you can.
█ LIMITATIONS
The pivots are very close to those shown in DAS Trader Pro. They are not to-the-cent exact, but within a few cents. The reasons are:
TradingView uses real-time data from CBOE One, so doesn't have access to full exchange data (unless you pay for it in TradingView), and
the close/high/low are taken from the intraday timeframe you are currently viewing, not daily data—which are very close, but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe.
I have occasionally seen larger than a few cents differences in the pivots between these and DAS Trader Pro—this is always due to differences in data, for example a big spike in the data in TradingView but not in DAS Trader Pro, or vice versa. The more traded the stock is, the less the difference tends to be. Highly traded stocks are usually within a few cents. Less traded stocks may be more (for example, 30¢ difference in R4 is the highest I've seen). If it bothers you, official NYSE/NASDAQ data in TradingView is quite inexpensive (but even that doesn't make the 8am candle identical).
The 6th Camarilla level does not have a standard definition and may not match the level shown on other platforms. It does match the definition used by DAS Trader Pro.
The indicator is an intraday indicator (despite also being able to show weekly and monthly pivots on an intraday chart). It deactivates on a daily timeframe and higher. It is untested on sub-minute timeframes; you may encounter runtime errors on these due to various historical data referencing issues. Also, the play detection algorithm would likely be unpredictable on sub-minute timeframes. Therefore, sub-minute timeframes are formally unsupported.
The indicator was developed and tested for US/European stocks and US futures. It may or may not work as intended for stocks and futures in different locations. It does not work for other security types (e.g., crypto), where I have no evidence that the strategy has any relevance.
Volumetric Pivot Echo🔮 Volumetric Pivot Echo (VPE)
Future Price Projection Zones with Confidence Scoring
📘 Overview
The Volumetric Pivot Echo (VPE) is a next-generation leading indicator that identifies high-volume reversal points and echoes their price + time behavior into the future — giving you a visual forecast box that includes a confidence score, price range, and duration estimate.
It’s designed for swing and options traders who want forward guidance based on real structure, not just reactive signals.
⚙️ How It Works
Pivot Detection – Finds pivot highs/lows based on configurable bar structure.
Volume Confirmation – Only confirms pivots backed by strong volume (e.g., 1.5× average).
Echo Logic – Measures the price move and time it took to reach the pivot.
ATR Scaling – Adjusts projections based on current market volatility.
Confidence Score – Rates each projection (0–100%) based on structure match, volatility, and direction alignment.
📦 What Appears on Chart
Projection Box:
A forward-drawn rectangle from the current bar to the estimated future zone. The box's size and duration mirror the last valid momentum leg.
Box Label Text:
🔹 Range (projected move size)
⏱️ Duration (bars expected)
✅ Confidence %
VPH/VPL Markers:
Pivot highs and lows confirmed by volume, marked with “VPH” or “VPL”.
🎯 How to Trade with It
Use the box as a target zone for directional trades.
If price enters a box with >85% confidence, consider it a high-quality path projection.
Use with support/resistance confluence or entry systems.
Works especially well for swing trading, breakout setups, or options targeting.
🛠️ Recommended Settings
Box Transparency: Set Projection Up/Down Color to 90 (10% visible).
Text Color: Set to white for readability.
Volume Multiplier: Default 1.5x, increase in choppy markets.
Projection Duration: Start with 1.0x echo multiplier and fine-tune.
⏳ Timeframes & Accuracy
Timeframe Confidence Zones Most Reliable
15m – 1h Use 70–85% confidence scores
1h – 4h Sweet spot for balanced signals
1D – 1W Strongest historical echo tracking (>85% ideal)
✅ Key Features
Forward-looking, non-repainting logic
Clear visual projections — no guesswork
Confidence scoring built-in
ATR-adjusted — adapts to volatility
Works on any asset (stocks, crypto, FX)
🧠 Why It’s Unique
This is not a lagging oscillator or classic trend-following tool.
It’s a leading structure projection model — combining pivot behavior, volume intensity, and market volatility to sketch forward “echo zones” based on the past.
