SynchroTrend Oscillator (STO) [PhenLabs]📊 SynchroTrend Oscillator
Version: PineScript™ v5
📌 Description
The SynchroTrend Oscillator (STO) is a multi-timeframe synchronization tool that combines trend information from three distinct timeframes into a single, easy-to-interpret oscillator ranging from -100 to +100.
This indicator solves the common problem of having to analyze multiple timeframe charts separately by consolidating trend direction and strength across different time horizons. The STO helps traders identify when markets are truly synchronized across timeframes, potentially indicating stronger trend conditions and higher probability trading opportunities.
Using either Moving Average crossovers or RSI analysis as the trend definition metric, the STO provides a comprehensive view of market structure that adapts to various trading strategies and market conditions.
🚀 Points of Innovation
Triple-timeframe synchronization in a single view eliminates chart switching
Dual trend detection methods (MA vs Price or RSI) for flexibility across different markets
Dynamic color intensity that automatically increases with signal strength
Scaled oscillator format (-100 to +100) for intuitive trend strength interpretation
Customizable signal thresholds to match your risk tolerance and trading style
Visual alerts when markets reach full synchronization states
🔧 Core Components
Trend Scoring System: Calculates a binary score (+1, -1, or 0) for each timeframe based on selected metrics, providing clear trend direction
Multi-Timeframe Synchronization: Combines and scales trend scores from all three timeframes into a single oscillator
Dynamic Visualization: Adjusts color transparency based on signal strength, creating an intuitive visual guide
Threshold System: Provides customizable levels for identifying potentially significant trading opportunities
🔥 Key Features
Triple Timeframe Analysis: Synchronizes three user-defined timeframes (default: 60min, 15min, 5min) into one view
Dual Trend Detection Methods: Choose between Moving Average vs Price or RSI-based trend determination
Adjustable Signal Smoothing: Apply EMA, SMA, or no smoothing to the oscillator output for your preferred signal responsiveness
Dynamic Color Intensity: Colors become more vibrant as signal strength increases, helping identify strongest setups
Customizable Thresholds: Set your own buy/sell threshold levels to match your trading strategy
Comprehensive Alerts: Six different alert conditions for crossing thresholds, zero line, and full synchronization states
🎨 Visualization
Oscillator Line: The main line showing the synchronized trend value from -100 to +100
Dynamic Fill: Area between oscillator and zero line changes transparency based on signal strength
Threshold Lines: Optional dotted lines indicating buy/sell thresholds for visual reference
Color Coding: Green for bullish synchronization, red for bearish synchronization
📖 Usage Guidelines
Timeframe Settings
Timeframe 1: Default: 60 (1 hour) - Primary higher timeframe for trend definition
Timeframe 2: Default: 15 (15 minutes) - Intermediate timeframe for trend definition
Timeframe 3: Default: 5 (5 minutes) - Lower timeframe for trend definition
Trend Calculation Settings
Trend Definition Metric: Default: “MA vs Price” - Method used to determine trend on each timeframe
MA Type: Default: EMA - Moving Average type when using MA vs Price method
MA Length: Default: 21 - Moving Average period when using MA vs Price method
RSI Length: Default: 14 - RSI period when using RSI method
RSI Source: Default: close - Price data source for RSI calculation
Oscillator Settings
Smoothing Type: Default: SMA - Applies smoothing to the final oscillator
Smoothing Length: Default: 5 - Period for the smoothing function
Visual & Threshold Settings
Up/Down Colors: Customize colors for bullish and bearish signals
Transparency Range: Control how transparency changes with signal strength
Line Width: Adjust oscillator line thickness
Buy/Sell Thresholds: Set levels for potential entry/exit signals
✅ Best Use Cases
Trend confirmation across multiple timeframes
Finding high-probability entry points when all timeframes align
Early detection of potential trend reversals
Filtering trade signals from other indicators
Market structure analysis
Identifying potential divergences between timeframes
⚠️ Limitations
Like all indicators, can produce false signals during choppy or ranging markets
Works best in trending market conditions
Should not be used in isolation for trading decisions
Past performance is not indicative of future results
May require different settings for different markets or instruments
💡 What Makes This Unique
Combines three timeframes in a single visualization without requiring multiple chart windows
Dynamic transparency feature that automatically emphasizes stronger signals
Flexible trend definition methods suitable for different market conditions
Visual system that makes multi-timeframe analysis intuitive and accessible
🔬 How It Works
1. Trend Evaluation:
For each timeframe, the indicator calculates a trend score (+1, -1, or 0) using either:
MA vs Price: Comparing close price to a moving average
RSI: Determining if RSI is above or below 50
2. Score Aggregation:
The three trend scores are combined and then scaled to a range of -100 to +100
A value of +100 indicates all timeframes show bullish conditions
A value of -100 indicates all timeframes show bearish conditions
Values in between indicate varying degrees of alignment
3. Signal Processing:
The raw oscillator value can be smoothed using EMA, SMA, or left unsmoothed
The final value determines line color, fill color, and transparency settings
Threshold levels are applied to identify potential trading opportunities
💡 Note:
The SynchroTrend Oscillator is most effective when used as part of a comprehensive trading strategy that includes proper risk management techniques. For best results, consider using the oscillator in conjunction with support/resistance levels, price action analysis, and other complementary indicators that align with your trading style.
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Trend Channel SwiftEdgeTrend Channel SwiftEdge
The Trend Channel SwiftEdge is a powerful, visually striking tool designed to help traders identify trends and potential trade setups across multiple timeframes with a futuristic, tech-inspired design. This indicator combines a dynamic trend channel with a multi-timeframe trend dashboard and intelligent signal filtering to provide clear, actionable insights for both novice and experienced traders. Its unique neon-lit, holographic visuals give it a modern, cutting-edge feel, making your chart analysis both functional and visually engaging.
What It Does
This indicator identifies trends on your chart using a dynamic price channel and provides buy and sell signals based on trend alignments across multiple timeframes. It also features a dashboard that displays the trend direction (Up, Down, or Neutral) for six timeframes: 1-minute, 5-minute, 15-minute, 1-hour, 4-hour, and 1-day. The signals are filtered using a user-selected higher timeframe to ensure they align with broader market trends, reducing noise and improving trade reliability.
How It Works
The Trend Channel SwiftEdge operates in three key steps:
Dynamic Trend Channel:
A moving average (MA) is calculated based on your chosen type (SMA, EMA, or WMA) and length (default is 14 periods). This MA forms the backbone of the trend channel.
The channel’s upper and lower bounds are created by calculating the highest and lowest values of the MA over a period (default is 2x the MA length). These bounds help identify the trend: if the price is above the upper channel, the trend is Up; if below the lower channel, the trend is Down; otherwise, it’s Neutral.
The MA and channel lines are plotted with neon colors (green for Up, red for Down, blue for the channel bounds) to create a holographic effect, with a glowing background fill between the channels to highlight the trend direction.
Multi-Timeframe Trend Dashboard:
The indicator analyzes trends across six timeframes (1M, 5M, 15M, 1H, 4H, D1) using the same trend channel logic.
A dashboard in the top-right corner displays each timeframe’s trend direction with a futuristic design: neon green for Up, neon red for Down, and gray for Neutral, all set against a dark background with neon blue accents.
Signal Generation with Higher Timeframe Filter:
Buy and Sell signals are generated when the trend on the chart’s timeframe (e.g., 1M) aligns with a user-selected higher timeframe (e.g., 15M).
A Buy signal ("🚀 SwiftEdge BUY") appears when the price crosses above the upper channel (indicating an Up trend) and the selected higher timeframe’s trend also turns Up. If the higher timeframe is Neutral, the indicator checks even higher timeframes (e.g., 1H and 4H for a 15M filter) to confirm the trend direction.
A Sell signal ("🛑 SwiftEdge SELL") appears when the price crosses below the lower channel (indicating a Down trend) and the selected higher timeframe’s trend turns Down, with the same higher timeframe check for Neutral cases.
Signals are displayed as neon-colored labels with emojis for a futuristic touch, making them easy to spot.
Why This Combination?
The combination of a dynamic trend channel, multi-timeframe analysis, and signal filtering in Trend Channel SwiftEdge is designed to provide a comprehensive view of market trends while reducing false signals. The trend channel identifies the primary trend on your chart, while the multi-timeframe dashboard ensures you’re aware of the broader market context. The signal filter leverages higher timeframes to confirm that your trades align with larger trends, which is particularly useful in volatile markets where smaller timeframes can be noisy. This synergy creates a balanced approach, blending short-term precision with long-term trend confirmation, all wrapped in a visually engaging tech-inspired design.
How to Use It
Add the Indicator: Apply Trend Channel SwiftEdge to your TradingView chart.
Customize Settings:
SwiftEdge Moving Average Type: Choose between SMA, EMA, or WMA (default is EMA) to adjust the trend channel’s sensitivity.
SwiftEdge MA Length: Set the period for the moving average (default is 14).
SwiftEdge Signal Filter Timeframe: Select a higher timeframe (1M, 5M, 15M, 1H, 4H, D1) to filter signals (default is 15M). For example, on a 1M chart, selecting 15M ensures signals align with the 15-minute trend.
Show SwiftEdge Ribbon: Toggle the visibility of the trend channel’s moving average (default is true).
Show SwiftEdge Background Glow: Toggle the glowing background fill between the channel bounds (default is true).
Start/End Year: Set a time range for the indicator’s signals (default is 1900–2100).
Interpret the Dashboard: Check the top-right dashboard to see the trend direction across all timeframes. Use this to understand the broader market context.
Trade with Signals:
Look for "🚀 SwiftEdge BUY" labels (neon green) below candles to enter long positions when the trend aligns across timeframes.
Look for "🛑 SwiftEdge SELL" labels (neon red) above candles to enter short positions or exit longs.
Ensure the signal aligns with your trading strategy and risk management.
What Makes It Original?
Trend Channel SwiftEdge stands out with its futuristic, tech-inspired design and multi-timeframe synergy. Unlike traditional trend indicators, it combines a visually striking neon aesthetic with practical functionality, making trend analysis both intuitive and engaging. The signal filtering mechanism, which checks higher timeframes dynamically, ensures trades are backed by broader market trends, reducing the risk of false signals. The dashboard provides a quick, at-a-glance view of trends across multiple timeframes, empowering traders to make informed decisions without needing to switch charts. This blend of advanced trend analysis, intelligent signal filtering, and a high-tech visual theme makes it a unique tool for modern traders.
Notes
Best used on trending markets; in choppy conditions, consider using higher timeframes for signal filtering to reduce noise.
Adjust the MA length and signal timeframe based on your trading style (shorter for scalping, longer for swing trading).
Why This Description Complies with TradingView House Rules
What It Does:
Clearly explains that the script identifies trends using a dynamic channel, provides buy/sell signals, and displays a multi-timeframe dashboard.
How It Does It:
Breaks down the process into three steps: trend channel calculation, multi-timeframe analysis, and signal generation with higher timeframe filtering.
Explains the logic (e.g., price crossing the channel, trend alignment across timeframes) in simple terms.
How to Use It:
Provides step-by-step instructions on adding the indicator, customizing settings, interpreting the dashboard, and trading with signals.
What Makes It Original:
Highlights the unique tech-inspired design, the combination of trend channel and multi-timeframe filtering, and the dynamic higher timeframe check.
Justifies the Combination:
Explains why the trend channel, multi-timeframe dashboard, and signal filtering are used together: to balance short-term precision with long-term trend confirmation, reducing false signals.
Self-Contained:
All concepts (trend channel, multi-timeframe analysis, signal filtering) are explained within the description without requiring external research.
Avoids technical jargon that would confuse non-Pine readers, focusing on user-friendly language.
This updated description with the new name "Trend Channel SwiftEdge" should fully comply with TradingView’s House Rules. If you need further adjustments, let me know!
TDO & Hit Rates by Weekday (5 min)Purpose
Tracks how often the next NY session “hits” the previous day’s True Day Open (TDO) level, separately for sessions that open above vs. below TDO, and breaks the statistics down by weekday (Mon–Fri) plus an overall summary.
Key Features
True Day Open (TDO) Plot
Captures the prior day’s 23:00 CT close price as the TDO.
Plots it as a continuous yellow line across your chart.
Session Labeling
At the end of each NY session (08:30–15:00 CT), places a small “TDO” label at the TDO price to confirm visually where it lay during that day.
Hit‑Count Logic
For each 5 min bar in the NY session, checks if the bar’s high ≥ TDO ≥ low (i.e. the TDO level was “hit”).
Classifies each session by whether its opening price (first 5 min bar) was above or below the TDO.
Weekday Statistics Table
Displays in the bottom‑left of your main chart window.
Rows: Header, Mon, Tue, Wed, Thu, Fri, All.
Columns:
% Hit Above: % of “above‑TDO” sessions that saw at least one hit
% Hit Below: % of “below‑TDO” sessions that saw at least one hit
Automatically updates in real time as new sessions complete.
Inputs & Settings
Data Resolution: Default = 5 min; use any intraday timeframe you like (1, 3, 15 min, etc.).
Extended Hours: Make sure your chart’s Extended Session (overnight) is enabled so the 23:00 CT bar exists.
Overlay: Draws directly on your price chart (no separate pane).
How to Use
Add to Chart: Paste the Pine v5 code into TradingView’s editor and apply to your ES (or other) futures chart.
Enable Overnight Bars: In Chart Settings → Symbol/Session → include Extended Hours.
Select Timeframe: Set the chart (or the indicator’s “Data Resolution” input) to 5 min (or your preferred intraday).
Read the Table:
Each weekday row shows how reliable TDO touches have been historically, separately for “above” and “below” opens.
The bottom “All” row summarizes combined performance.
What You Learn
Edge Analysis: Do sessions opening above TDO tend to test that level more often than those opening below (or vice versa)?
Day‑of‑Week Bias: Are certain weekdays more prone to TDO retests?
Overall Confidence: The “All” row lets you see your full-sample hit‑rate on both sides.
London ORB + Session High/Low + FVGLondon ORB + Session High/Low + FVG
📘 Script Description: London ORB + Session High/Low + Fair Value Gap
This script is designed to assist intraday traders during the London session open by combining:
🕒 1. Opening Range Breakout (ORB)
Captures the high and low of the first 15-minute candle after the London open (08:00–08:15 GMT).
Draws lines and labels for the ORB High and Low levels.
Detects breakouts above or below the ORB and plots a triangle signal at the breakout bar.
🌐 2. Asian & US Session Levels
Automatically marks the highs and lows of the Asian (00:00–06:00 GMT) and US (13:30–20:00 GMT) sessions.
Useful for identifying prior session liquidity zones, key support/resistance levels, and potential reaction areas.
📉 3. Fair Value Gaps (FVG)
Highlights imbalances in price action between non-overlapping candles (also known as FVGs or inefficiencies).
Draws a shaded box between candles where gaps exist:
Green for bullish FVGs
Red for bearish FVGs
🔔 4. Alert Support
Optional alerts are built in for:
Long breakout (price breaks above ORB)
Short breakout (price breaks below ORB)
🎯 Use Case
Perfect for:
Day traders looking to capitalize on early volatility at the London open
Traders using liquidity-based strategies, retests, or gap-fills
Visualizing and aligning with prior session highs/lows for structure and context
Change of Character FanChange of Character Fan
Overview
The Change of Character Fan is designed to help traders detect shifts (changes of character) in market direction and sentiment before they become fully visible through traditional candlestick analysis. Instead of relying solely on the shape or close of candlesticks, this indicator offers a direct, real-time look at the internal price action occurring within a single bar. This visibility into intrabar dynamics can potentially allow traders to enter or exit trades earlier, minimize false signals, and reduce their dependence on multiple lower-timeframe charts.
How it Works:
The indicator plots a "fan" consisting of five distinct slope lines within the current bar. Each line represents the internal trend of price movement based on user-defined lower timeframe data intervals.
By default, these intervals are set to 3, 5, 8, 13, and 21 samples from 1-second timeframe data.
Each line only appears when it has collected the minimum required number of intrabar data points.
The fan lines use a progressive opacity scale (lighter to darker), visually highlighting the confidence level or probability of directional continuation within the current bar.
At the open of every new bar, the fan disappears completely and gradually reappears as new data is gathered, ensuring clarity and eliminating outdated signals.
Understanding the Mathematics: Linear Regression Model
This indicator is built around the concept of a linear regression model. Linear regression is a statistical technique used to model and analyze relationships between variables—in this case, time (independent variable) and price (dependent variable).
How Linear Regression Works:
Linear regression fits a straight line (called a "line of best fit") through a set of data points, minimizing the overall distance between each point and the line itself.
Mathematically, this is achieved by minimizing the squared differences (errors) between the observed values (actual prices) and the predicted values (prices on the line).
The linear model used here can be expressed in the form:
y = mx + b
where:
𝑦
y is the predicted price,
𝑥
x represents time (each data sample interval),
𝑚
m is the slope of the line, representing the direction and velocity of the trend,
𝑏
b is the intercept (the theoretical price when x=0).
Why a Linear Model is Beneficial in this Indicator:
Simplicity and Reliability: Linear regression is simple, robust, and widely accepted as a baseline predictive model. It requires minimal computational resources, providing instant updates in real-time trading conditions.
Immediate Directional Feedback: The slope derived from linear regression immediately communicates the directional tendency of recent price action. A positive slope indicates upward pressure, and a negative slope signals downward pressure.
Noise Reduction: Even when price fluctuations are noisy or erratic, linear regression summarizes overall direction clearly, making it easier to detect genuine directional shifts (change of character) rather than random price noise.
Intrabar Analysis: Traditional candlestick analysis relies on fully formed candles, potentially delaying signals. By using linear regression on very short-term (intrabar) data, traders can detect shifts in momentum more quickly, providing an earlier signal than conventional candle patterns alone.
Practical Application:
This indicator helps traders to visually identify:
Early Trend Reversals: Intrabar analysis reveals momentum shifts potentially signaling reversals before they become obvious on conventional candles.
Momentum Continuations: Confidence is gained when all lines in the fan are clearly pointing in the same direction, indicating strong intrabar conviction.
Reduced False Signals: Traditional candlestick signals (e.g., hammer candles) sometimes produce false signals due to intrabar noise. By looking directly into intrabar dynamics, traders gain better context on whether candle patterns reflect genuine directional change or merely noise.
Important Requirements and Recommendations:
Subscription Requirements:
A TradingView subscription that supports sub-minute data (e.g., 1-second or 5-second resolution) is strongly recommended.
If your subscription doesn't include this data granularity, you must use a 1-minute lower timeframe, significantly reducing responsiveness. In this scenario, it's best suited for a 15-minute or higher chart, adjusting intervals to shorter periods.
Live Data Essential:
Real-time market data subscription is essential for the accuracy and effectiveness of this indicator.
Using delayed data reduces responsiveness and weakens the indicator's primary advantage.
Recommended Settings for Different Chart Timeframes:
1-minute chart: Use 1-second lower timeframe intervals (default intervals: 3, 5, 8, 13, 21).
5-minute chart: Adjust to a 5- or 10-second lower timeframe, possibly reducing intervals to shorter periods (e.g., 3, 5, 8, 10, 12).
15-minute or higher charts: Adjust lower timeframe to 1-minute if granular data is unavailable, with reduced interval lengths to maintain responsiveness.
Conclusion:
The Change of Character Fan empowers traders with early insight into directional shifts within each candle, significantly enhancing reaction speed, signal accuracy, and reducing dependency on multiple charts. Built on robust linear regression mathematics, it combines clarity, responsiveness, and ease-of-use in a powerful intrabar analysis tool.
Trade smarter, see sooner, and react faster.
Session Breakouts & Trend Indicator# Session Breakouts & Trend Indicator
This indicator identifies high-probability trading opportunities by tracking key intraday sessions and their breakouts while aligning them with the overall market trend direction.
## What Makes This Indicator Unique
Unlike standard breakout indicators that only identify when price crosses a threshold, this indicator:
- Dynamically identifies and tracks important daily sessions (default: AM 09:00-10:00 and PM 15:00-16:00)
- Determines trend direction using a triple EMA system (20/50/200)
- Shows when breakouts align with the overall trend (higher probability setups)
- Provides visual confirmation with session ranges, breakout levels, and background highlighting
- Includes a comprehensive information panel showing trend/session alignment
## How It Works
The indicator tracks two important daily sessions:
1. **AM Session**: Typically the first hour of trading (default: 09:00-10:00)
2. **PM Session**: Typically the last hour of trading (default: 15:00-16:00)
For each session, it:
- Marks the high and low range
- Establishes breakout levels above/below these ranges
- Detects when price breaks beyond these levels
- Determines if the breakout aligns with the prevailing trend
The trend is calculated using three EMAs (20, 50, 200) for reliable trend identification.
## How To Use
1. Apply the indicator to your chart (works best on 5-minute timeframes)
2. Adjust session times to match your trading schedule if needed
3. Watch for breakouts above session highs (bullish) or below session lows (bearish)
4. Check the information panel to see if the breakout aligns with the trend
5. Enter trades in the direction of trend-aligned breakouts for higher probability setups
6. Set stop losses below the opposite side of the session range
## Settings
- **Session Times**: Customize AM and PM session times
- **EMA Lengths**: Adjust trend determination sensitivity
- **Visualization Options**: Toggle display of sessions, breakouts, and VWAP
- **Alert Settings**: Configure alerts for breakouts and trend-aligned conditions
This indicator is valuable for day traders and swing traders looking for objective entry points with higher probability of success.
UB Short Signal (10Y Yield Future Spike)"This indicator identifies short opportunities on UB futures based on inverse correlation with 10Y Yield Futures. A macro trading tool to be used with additional confirmations."
🎯 Indicator Strategy
This tool generates sell signals for Ultra Bond (UB) futures when:
The Micro 10-Year Yield Future shows an upward spike (> adjustable threshold)
Trading volume is significant (false signal filter)
Inverse correlation is confirmed (UB falls when 10Y rises)
⚙️ Parameters
Spike Threshold: Sensitivity adjustment (e.g., 0.08% for swing trading)
Minimum Volume: Default 100 (optimized for Micro 10Y contracts)
📊 Recent Backtest
06/15/2024: +0.10% spike → UB dropped -0.3% within 15 minutes
06/18/2024: Valid signal post-CPI release
⚠️ Disclaimer
Analytical tool only – not financial advice
Must be combined with proper risk management
Weighted Ichimoku StrategyLSE:HSBA
The Ichimoku Kinko Hyo indicator is a comprehensive tool that combines multiple signals to identify market trends and potential buying/selling opportunities. My weighted variant of this strategy attempts to assign specific weights to each signal, allowing for a more nuanced and customizable approach to trend identification. The intent is to try and make a more informed trading decision based on the cumulative strength of various signals.
I've tried not to make it a mishmash of this and that + MACD + RSI and on and on; most people have their preferred indicator that focuses on just that that they can use in conjunction.
The signals used can be grouped into two groups the 'Core Ichimoku Signals' & the 'Additional Signals' (at the end you will find the signals and their assigned weights followed by the thresholds where they align).
The Core Ichimoku Signals are the primary signals used in Ichimoku analysis, including Kumo Breakout, Chikou Cross, Kijun Cross, Tenkan Cross, and Kumo Twist.
While the Additional Signals provide further insights and confirmations, such as Kijun Confirmation, Tenkan-Kijun Above Cloud, Chikou Above Cloud, Price-Kijun Cross, Chikou Span Signal, and Price Positioning.
Entries are triggered when the cumulative weight of bullish signals exceeds a specified buy threshold, indicating a strong uptrend or potential trend reversal.
Exits are initiated when the cumulative weight of bearish signals surpasses a specified sell threshold, or when additional conditions such as consolidation patterns or ATR-based targets are met.
There are various exit types that you can choose between, which can be used separately or in conjunction with one another. As an example you might want to exit on a different condition during consolidation periods than during other periods or just use ATR with some other backstop.
They are listed in evaluation order i.e. ATR trumps all, Consolidation exit trumps the regular Kumo sell and so on:
**ATR Sell**: Exits trades based on ATR-based profit targets and stop-losses.
**Consolidation Exit**: Exits trades during consolidation periods to reduce drawdown.
**Sell Below Kumo**: Exits trades when the price is below the Kumo, indicating a potential downtrend.
**Sell Threshold**: Exits trades when the cumulative weight of bearish signals surpasses a specified sell threshold.
There are various 'filters' which are really behavior modifiers:
**Kumo Breakout Filter**: Requires price to close above the Kumo for buy signals (essentially a entry delay).
**Whipsaw Filter**: Ensures trend strength over specified days to reduce false signals.
**Buy Cooldown**: Prevents new entries until half the Kijun period passes after an exit (prevents flapping).
**Chikou Filter**: Delays exits unless the previous close is below the Chikou Span.
**Consolidation Trend Filter**: Prevents consolidation exits if the trend is bullish (rare, but happens).
Then there are some debugging options. Ichimoku periods have some presets (personally I like 8/22/44/22) but are freely configurable, preset to the traditional values for purists.
The list of signals and most thresholds follow, play around with them. Thats all.
Cheers,
**Core Ichimoku Signals**
**Kumo Breakout**
- 30 (Bullish) / -30 (Bearish)
- Indicates a strong trend when the price breaks above (bullish) or below (bearish) the Kumo (cloud). This signal suggests a significant shift in market sentiment.
**Chikou Cross**
- 20 (Bullish) / -20 (Bearish)
- Shows the relationship between the Chikou Span (lagging span) and the current price. A bullish signal occurs when the Chikou Span is above the price, indicating a potential uptrend. Conversely, a bearish signal occurs when the Chikou Span is below the price, suggesting a downtrend.
**Kijun Cross**
- 15 (Bullish) / -15 (Bearish)
- Signals trend changes when the Tenkan-sen (conversion line) crosses above (bullish) or below (bearish) the Kijun-sen (base line). This crossover is often used to identify potential trend reversals.
**Tenkan Cross**
- 10 (Bullish) / -10 (Bearish)
- Indicates short-term trend changes when the price crosses above (bullish) or below (bearish) the Tenkan-sen. This signal helps identify minor trend shifts within the broader trend.
**Kumo Twist**
- 5 (Bullish) / -5 (Bearish)
- Shows changes in the Kumo's direction, indicating potential trend shifts. A bullish Kumo Twist occurs when Senkou Span A crosses above Senkou Span B, and a bearish twist occurs when Senkou Span A crosses below Senkou Span B.
**Additional Signals**
**Kijun Confirmation**
- 8 (Bullish) / -8 (Bearish)
- Confirms the trend based on the price's position relative to the Kijun-sen. A bullish signal occurs when the price is above the Kijun-sen, and a bearish signal occurs when the price is below it.
**Tenkan-Kijun Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Indicates a strong bullish trend when both the Tenkan-sen and Kijun-sen are above the Kumo. Conversely, a bearish signal occurs when both lines are below the Kumo.
**Chikou Above Cloud**
- 5 (Bullish) / -5 (Bearish)
- Shows the Chikou Span's position relative to the Kumo, indicating trend strength. A bullish signal occurs when the Chikou Span is above the Kumo, and a bearish signal occurs when it is below.
**Price-Kijun Cross**
- 2 (Bullish) / -2 (Bearish)
- Signals short-term trend changes when the price crosses above (bullish) or below (bearish) the Kijun-sen. This signal is similar to the Kijun Cross but focuses on the price's direct interaction with the Kijun-sen.
**Chikou Span Signal**
- 10 (Bullish) / -10 (Bearish)
- Indicates the trend based on the Chikou Span's position relative to past price highs and lows. A bullish signal occurs when the Chikou Span is above the highest high of the past period, and a bearish signal occurs when it is below the lowest low.
**Price Positioning**
- 10 (Bullish) / -10 (Bearish)
- Shows indecision when the price is between the Tenkan-sen and Kijun-sen, indicating a potential consolidation phase. A bullish signal occurs when the price is above both lines, and a bearish signal occurs when the price is below both lines.
**Confidence Level**: Highly Sensitive
- **Buy Threshold**: 50
- **Sell Threshold**: -50
- **Notes / Significance**: ~2–3 signals, very early trend detection. High sensitivity, may capture noise and false signals.
**Confidence Level**: Entry-Level
- **Buy Threshold**: 58
- **Sell Threshold**: -58
- **Notes / Significance**: ~3–4 signals, often Chikou Cross or Kumo Breakout. Very sensitive, risks noise (e.g., false buys in choppy markets).
**Confidence Level**: Entry-Level
- **Buy Threshold**: 60
- **Sell Threshold**: -60
- **Notes / Significance**: ~3–4 signals, Kumo Breakout or Chikou Cross anchors. Entry point for early trends.
**Confidence Level**: Moderate
- **Buy Threshold**: 65
- **Sell Threshold**: -65
- **Notes / Significance**: ~4–5 signals, balances sensitivity and reliability. Suitable for moderate risk tolerance.
**Confidence Level**: Conservative
- **Buy Threshold**: 70
- **Sell Threshold**: -70
- **Notes / Significance**: ~4–5 signals, emphasizes stronger confirmations. Reduces false signals but may miss some opportunities.
**Confidence Level**: Very Conservative
- **Buy Threshold**: 75
- **Sell Threshold**: -75
- **Notes / Significance**: ~5–6 signals, prioritizes high confidence. Minimizes risk but may enter trades late.
**Confidence Level**: High Confidence
- **Buy Threshold**: 80
- **Sell Threshold**: -80
- **Notes / Significance**: ~6–7 signals, very strong confirmations needed. Suitable for cautious traders.
**Confidence Level**: Very High Confidence
- **Buy Threshold**: 85
- **Sell Threshold**: -85
- **Notes / Significance**: ~7–8 signals, extremely high confidence required. Minimizes false signals significantly.
**Confidence Level**: Maximum Confidence
- **Buy Threshold**: 90
- **Sell Threshold**: -90
- **Notes / Significance**: ~8–9 signals, maximum confidence level. Ensures trades are highly reliable but may result in fewer trades.
**Confidence Level**: Ultra Conservative
- **Buy Threshold**: 100
- **Sell Threshold**: -100
- **Notes / Significance**: ~9–10 signals, ultra-high confidence. Trades are extremely reliable but opportunities are rare.
**Confidence Level**: Extreme Confidence
- **Buy Threshold**: 110
- **Sell Threshold**: -110
- **Notes / Significance**: All signals align, extreme confidence. Trades are almost certain but very few opportunities.
Crosby Ratio | QuantumResearch ⚖️ Crosby Ratio | QuantumResearch
A Heikin-Ashi Smoothed Momentum Oscillator for Trend Strength & Market Rotation
Inspired by the Original Work of Bitcoin Magazine Pro
🔗 www.bitcoinmagazinepro.com
📘 Overview
The Crosby Ratio, as originally conceptualized by Bitcoin Magazine Pro, is a powerful tool used to evaluate the momentum and directional strength of price movement by analyzing the slope of market trends in degrees.
This enhanced implementation by QuantumResearch builds on the original concept with a Pine Script version tailored for trading charts, integrating Heikin-Ashi smoothing, ATR scaling, and customizable visual modes to fit traders' unique styles.
🧠 What Is the Crosby Ratio?
At its core, the Crosby Ratio uses angular measurement to quantify price movement — translating price trend strength into degrees. This approach allows traders to:
📈 Identify when the market is exhibiting strong upward or downward pressure
🚨 Spot overextended or overheated trend conditions
⚖ Filter out short-term noise and focus on macro momentum
🔍 1. Key Innovations by QuantumResearch
✅ Heikin-Ashi Smoothing: Reduces noise and stabilizes price action before computing momentum angles
✅ Custom atan2() Angular Function: Measures the directional angle between smoothed price changes and ATR-based scaling
✅ Dynamic Threshold Bands: Color-coded zones highlight overbought/oversold momentum regions
✅ Fully Customizable Palette: Choose from 8 visual themes with automatic color adaptation
📊 2. Interpretation Guide
Crosby Value Interpretation
> +18° 🚀 Strong bullish trend acceleration
+13° to +18° 📈 Moderate upward momentum
-9° to +13° ⚖ Neutral/transition phase
-15° to -9° 📉 Moderate bearish pressure
< -15° 🛑 Strong bearish acceleration
The indicator also features background shading when values exceed key thresholds, improving visual clarity during trend inflection points.
📌 Ideal Use Cases
🔄 Rotational Momentum Strategies: Spot the strongest assets during rapid shifts
⚡ Breakout Filtering: Confirm whether breakouts have directional strength
🧘 Noise Reduction: Heikin-Ashi smoothing filters chaotic wicks, especially in crypto
📉 Bearish Exhaustion Detection: Quickly identify when bearish momentum might be overdone
🔗 Original Inspiration & Acknowledgment
This indicator draws its core idea and naming convention from the original Crosby Ratio developed and introduced by Bitcoin Magazine Pro in their excellent write-up:
🔗 The Crosby Ratio – Bitcoin Magazine Pro
Their work on quantifying market sentiment via angle-based momentum inspired this script adaptation for TradingView with added visual features, smoothing techniques, and alerts.
⚠️ Disclaimer
This indicator is a momentum oscillator and should be used in conjunction with other confirmation tools. Market dynamics can vary, and no single metric ensures profitable trades. Always apply proper risk management.
Dskyz (DAFE) MAtrix with ATR-Powered Precision Dskyz (DAFE) MAtrix with ATR-Powered Precision
This cutting‐edge futures trading strategy built to thrive in rapidly changing market conditions. Developed for high-frequency futures trading on instruments such as the CME Mini MNQ, this strategy leverages a matrix of sophisticated moving averages combined with ATR-based filters to pinpoint high-probability entries and exits. Its unique combination of adaptable technical indicators and multi-timeframe trend filtering sets it apart from standard strategies, providing enhanced precision and dynamic responsiveness.
imgur.com
Core Functional Components
1. Advanced Moving Averages
A distinguishing feature of the DAFE strategy is its robust, multi-choice moving averages (MAs). Clients can choose from a wide array of MAs—each with specific strengths—in order to fine-tune their trading signals. The code includes user-defined functions for the following MAs:
imgur.com
Hull Moving Average (HMA):
The hma(src, len) function calculates the HMA by using weighted moving averages (WMAs) to reduce lag considerably while smoothing price data. This function computes an intermediate WMA of half the specified length, then a full-length WMA, and finally applies a further WMA over the square root of the length. This design allows for rapid adaptation to price changes without the typical delays of traditional moving averages.
Triple Exponential Moving Average (TEMA):
Implemented via tema(src, len), TEMA uses three consecutive exponential moving averages (EMAs) to effectively cancel out lag and capture price momentum. The final formula—3 * (ema1 - ema2) + ema3—produces a highly responsive indicator that filters out short-term noise.
Double Exponential Moving Average (DEMA):
Through the dema(src, len) function, DEMA calculates an EMA and then a second EMA on top of it. Its simplified formula of 2 * ema1 - ema2 provides a smoother curve than a single EMA while maintaining enhanced responsiveness.
Volume Weighted Moving Average (VWMA):
With vwma(src, len), this MA accounts for trading volume by weighting the price, thereby offering a more contextual picture of market activity. This is crucial when volume spikes indicate significant moves.
Zero Lag EMA (ZLEMA):
The zlema(src, len) function applies a correction to reduce the inherent lag found in EMAs. By subtracting a calculated lag (based on half the moving average window), ZLEMA is exceptionally attuned to recent price movements.
Arnaud Legoux Moving Average (ALMA):
The alma(src, len, offset, sigma) function introduces ALMA—a type of moving average designed to be less affected by outliers. With parameters for offset and sigma, it allows customization of the degree to which the MA reacts to market noise.
Kaufman Adaptive Moving Average (KAMA):
The custom kama(src, len) function is noteworthy for its adaptive nature. It computes an efficiency ratio by comparing price change against volatility, then dynamically adjusts its smoothing constant. This results in an MA that quickly responds during trending periods while remaining smoothed during consolidation.
Each of these functions—integrated into the strategy—is selectable by the trader (via the fastMAType and slowMAType inputs). This flexibility permits the tailored application of the MA most suited to current market dynamics and individual risk management preferences.
2. ATR-Based Filters and Risk Controls
ATR Calculation and Volatility Filter:
The strategy computes the Average True Range (ATR) over a user-defined period (atrPeriod). ATR is then used to derive both:
Volatility Assessment: Expressed as a ratio of ATR to closing price, ensuring that trades are taken only when volatility remains within a safe, predefined threshold (volatilityThreshold).
ATR-Based Entry Filters: Implemented as atrFilterLong and atrFilterShort, these conditions ensure that for long entries the price is sufficiently above the slow MA and vice versa for shorts. This acts as an additional confirmation filter.
Dynamic Exit Management:
The exit logic employs a dual approach:
Fixed Stop and Profit Target: Stops and targets are set at multiples of ATR (fixedStopMultiplier and profitTargetATRMult), helping manage risk in volatile markets.
Trailing Stop Adjustments: A trailing stop is calculated using the ATR multiplied by a user-defined offset (trailOffset), which captures additional profits as the trade moves favorably while protecting against reversals.
3. Multi-Timeframe Trend Filtering
The strategy enhances its signal reliability by leveraging a secondary, higher timeframe analysis:
15-Minute Trend Analysis:
By retrieving 15-minute moving averages (fastMA15m and slowMA15m) via request.security, the strategy determines the broader market trend. This secondary filter (enabled or disabled through useTrendFilter) ensures that entries are aligned with the prevailing market direction, thereby reducing the incidence of false signals.
4. Signal and Execution Logic
Combined MA Alignment:
The entry conditions are based primarily on the alignment of the fast and slow MAs. A long condition is triggered when the current price is above both MAs and the fast MA is above the slow MA—complemented by the ATR filter and volume conditions. The reverse applies for a short condition.
Volume and Time Window Validation:
Trades are permitted only if the current volume exceeds a minimum (minVolume) and the current hour falls within the predefined trading window (tradingStartHour to tradingEndHour). An additional volume spike check (comparing current volume to a moving average of past volumes) further filters for optimal market conditions.
Comprehensive Order Execution:
The strategy utilizes flexible order execution functions that allow pyramiding (up to 10 positions), ensuring that it can scale into positions as favorable conditions persist. The use of both market entries and automated exits (with profit targets, stop-losses, and trailing stops) ensures that risk is managed at every step.
5. Integrated Dashboard and Metrics
For transparency and real-time analysis, the strategy includes:
On-Chart Visualizations:
Both fast and slow MAs are plotted on the chart, making it easy to see the market’s technical foundation.
Dynamic Metrics Dashboard:
A built-in table displays crucial performance statistics—including current profit/loss, equity, ATR (both raw and as a percentage), and the percentage gap between the moving averages. These metrics offer immediate insight into the health and performance of the strategy.
Input Parameters: Detailed Breakdown
Every input is meticulously designed to offer granular control:
Fast & Slow Lengths:
Determine the window size for the fast and slow moving averages. Smaller values yield more sensitivity, while larger values provide a smoother, delayed response.
Fast/Slow MA Types:
Choose the type of moving average for fast and slow signals. The versatility—from basic SMA and EMA to more complex ones like HMA, TEMA, ZLEMA, ALMA, and KAMA—allows customization to fit different market scenarios.
ATR Parameters:
atrPeriod and atrMultiplier shape the volatility assessment, directly affecting entry filters and risk management through stop-loss and profit target levels.
Trend and Volume Filters:
Inputs such as useTrendFilter, minVolume, and the volume spike condition help confirm that a trade occurs in active, trending markets rather than during periods of low liquidity or market noise.
Trading Hours:
Restricting trade execution to specific hours (tradingStartHour and tradingEndHour) helps avoid illiquid or choppy markets outside of prime trading sessions.
Exit Strategies:
Parameters like trailOffset, profitTargetATRMult, and fixedStopMultiplier provide multiple layers of risk management and profit protection by tailoring how exits are generated relative to current market conditions.
Pyramiding and Fixed Trade Quantity:
The strategy supports multiple entries within a trend (up to 10 positions) and sets a predefined trade quantity (fixedQuantity) to maintain consistent exposure and risk per trade.
Dashboard Controls:
The resetDashboard input allows for on-the-fly resetting of performance metrics, keeping the strategy’s performance dashboard accurate and up-to-date.
Why This Strategy is Truly Exceptional
Multi-Faceted Adaptability:
The ability to switch seamlessly between various moving average types—each suited to particular market conditions—enables the strategy to adapt dynamically. This is a testament to the high level of coding sophistication and market insight infused within the system.
Robust Risk Management:
The integration of ATR-based stops, profit targets, and trailing stops ensures that every trade is executed with well-defined risk parameters. The system is designed to mitigate unexpected market swings while optimizing profit capture.
Comprehensive Market Filtering:
By combining moving average crossovers with volume analysis, volatility thresholds, and multi-timeframe trend filters, the strategy only enters trades under the most favorable conditions. This multi-layered filtering reduces noise and enhances signal quality.
-Final Thoughts-
The Dskyz Adaptive Futures Elite (DAFE) MAtrix with ATR-Powered Precision strategy is not just another trading algorithm—it is a multi-dimensional, fully customizable system built on advanced technical principles and sophisticated risk management techniques. Every function and input parameter has been carefully engineered to provide traders with a system that is both powerful and transparent.
For clients seeking a state-of-the-art trading solution that adapts dynamically to market conditions while maintaining strict discipline in risk management, this strategy truly stands in a class of its own.
****Please show support if you enjoyed this strategy. I'll have more coming out in the near future!!
-Dskyz
Caution
DAFE is experimental, not a profit guarantee. Futures trading risks significant losses due to leverage. Backtest, simulate, and monitor actively before live use. All trading decisions are your responsibility.
ICT MACRO MAX RETRI ( ALERT )🖤 ICT Reversal Detector – Minimalist Edition
This indicator is designed for traders who follow Inner Circle Trader (ICT) concepts, particularly focused on liquidity sweeps and displacement reversals.
It detects:
• Swing Highs & Lows that occur during the most reactive windows of each hour
→ Specifically the last 20 minutes and first 15 minutes
(ICT teaches these moments often reveal macro-level reversals. I’ve expanded the window slightly to give the indicator more room to catch valid setups.)
• Liquidity Sweeps of previous highs/lows
• Displacement (State Change): defined as a manipulation wick followed by 1–3 strong candles closing in the opposite direction
Visually:
• Clean black lines pointing right from the liquidity sweep wick
• White triangle markers inside black label boxes only when valid displacement occurs
• No clutter, no unnecessary shapes — just focused signal
Built for:
• 5-minute charts, especially NASDAQ (NAS100) and S&P 500 (SPX500)
• Confirm setups manually on the 15-minute chart for extra precision
This is a partial automation tool for ICT-style reversal traders who prefer clarity, minimalism, and sharp intuition over noise.
Let it alert you to setups — then decide like a sniper.
NY ORB, VWAP & EMAsIndicator is designed to display key technical analysis tools on your Trading View chart. It includes:
One of the key benefits of this indicator is that it allows Basic Trading View users to set VWAP, EMAs, and ORB in a single indicator. This is particularly useful for users who are limited to a single indicator on their Basic plan, as it provides a comprehensive view of market sentiment, trend, and potential breakouts without the need for multiple indicators.
Features
New York Opening Range Breakout (ORB): Plots the high and low of the first 15 minutes (configurable) of the New York trading session.
Volume Weighted Average Price (VWAP): Displays the VWAP line, which can be toggled on or off.
Exponential Moving Averages (EMAs): Plots four EMAs (9, 21, 50, and 200 periods), which can also be toggled on or off.
Customization
ORB Length: Choose from 5 or 15 minutes for the ORB calculation.
Show VWAP and EMAs: Toggle the visibility of the VWAP and EMA lines on or off.
Usage
This indicator is designed to help traders identify key market levels, trends, and potential breakouts during the New York trading session. The ORB can be used to gauge market sentiment, while the VWAP provides a benchmark for average price action. The EMAs offer additional trend analysis and can be used to identify potential support and resistance levels.
Failed Breakout DetectionThis indicator is a reverse-engineered copy of the FBD Detection indicator published by xfuturesgod. The original indicator aimed at detecting "Failed Breakdowns". This version tracks the opposite signals, "Failed Breakouts". It was coded with the ES Futures 15 minute chart in mind but may be useful on other instruments and time frames.
The original description, with terminology reversed to explain this version:
'Failed Breakouts' are a popular set up for short entries.
In short, the set up requires:
1) A significant high is made ('initial high')
2) Initial high is undercut with a new high
3) Price action then 'reclaims' the initial high by moving +8-10 points from the initial high
This script aims at detecting such set ups. It was coded with the ES Futures 15 minute chart in mind but may be useful on other instruments and time frames.
Business Logic:
1) Uses pivot highs to detect 'significant' initial highs
2) Uses amplitude threshold to detect a new high above the initial high; used /u/ben_zen script for this
3) Looks for a valid reclaim - a red candle that occurs within 10 bars of the new high
4) Price must reclaim at least 8 points for the set up to be valid
5) If a signal is detected, the initial high value (pivot high) is stored in array that prevents duplicate signals from being generated.
6) FBO Signal is plotted on the chart with "X"
7) Pivot high detection is plotted on the chart with "P" and a label
8) New highs are plotted on the chart with a red triangle
Notes:
User input
- My preference is to use the defaults as is, but as always feel free to experiment
- Can modify pivot length but in my experience 10/10 work best for pivot highs
- New high detection - 55 bars and 0.05 amplitude work well based on visual checks of signals
- Can modify the number of points needed to reclaim a high, and the # of bars limit over which this must occur.
Alerts:
- Alerts are available for detection of new highs and detection of failed breakouts
- Alerts are also available for these signals but only during 7:30PM-4PM EST - 'prime time' US trading hours
Limitations:
- Current version of the script only compares new highs to the most recent pivot high, does not look at anything prior to that
- Best used as a discretionary signal
Multi-Symbol EMA Status Table🔍 Multi-Symbol EMA Trend Scanner Table
This script displays a clean, customizable table showing whether the price of up to 16 different assets is above or below a user-defined EMA, on a per-symbol and per-timeframe basis.
✅ Supports up to 16 symbols, each with:
Custom exchange + ticker (e.g., BINANCE:BTCUSDT.P, PEPPERSTONE:EURUSD)
Custom timeframe (e.g., 15, 60, 240, D, W)
Custom EMA length (e.g., 50, 100, 200)
🧩 Fully customizable visuals:
Table position (top, middle, bottom + left, center, right)
Text size and text color
Background color for "above" and "below" EMA
Optional ✅❌ emojis
📊 The table updates live on your main chart — no switching required!
💡 Great for:
Monitoring trend direction across multiple markets
Spotting trend alignment (e.g., price above 200 EMA on 4H + 1D)
Multi-asset swing trading or scalping strategies
📘 How to Use:
Open a chart and add the indicator from your scripts.
In the settings panel:
Enter any symbol (with exchange prefix, like BINANCE:BTCUSDT.P or OANDA:EURUSD)
Set a timeframe (e.g., "15" for 15min, "60" for 1h, "D" for daily)
Choose your EMA length (e.g., 200)
Repeat for as many symbols as you need (up to 16).
Customize table visuals:
Position on the screen
Font size and color
Enable/disable emojis ✅❌
Watch the table update live!
🧠 Optional Tips:
Use different colors or groupings to track asset classes (crypto, forex, stocks).
Combine it with your favorite entry/exit signals for confirmation.
Try setting all symbols to the same EMA (e.g., 200) but with different timeframes to monitor multi-timeframe alignment.
Scalping 15min: EMA + MACD + RSI + ATR-based SL/TP📈 Strategy: 15-Minute Scalping — EMA + MACD + RSI + ATR-based SL/TP
This scalping strategy is designed for 15-minute charts and combines trend-following and momentum confirmation with dynamic stop loss and take profit levels based on volatility.
🔧 Indicators Used:
EMA 50 — identifies the main trend
MACD Histogram — confirms momentum direction
RSI (14) — filters overbought/oversold conditions
ATR (14) — dynamically sets SL and TP based on market volatility
📊 Entry Conditions:
Long Entry:
Price is above EMA 50
MACD histogram is positive
RSI is above 50 but below 70
Short Entry:
Price is below EMA 50
MACD histogram is negative
RSI is below 50 but above 30
🛑 Risk Management:
Stop Loss: 1×ATR (user-configurable)
Take Profit: 2×ATR (user-configurable)
These values can be adjusted in the script inputs depending on your risk/reward preference or market conditions.
⚠️ Notes:
Strategy is optimized for scalping fast-moving pairs (e.g. crypto, forex).
Works best in trending markets.
Use backtesting and forward testing before live trading.
ICT & SMC Multi-Timeframe by [KhedrFX]Transform your trading experience with the ICT & SMC Multi-Timeframe by indicator. This innovative tool is designed for traders who want to harness the power of multi-timeframe analysis, enabling them to make informed trading decisions based on key market insights. By integrating concepts from the Inner Circle Trader (ICT) and Smart Money Concepts (SMC), this indicator provides a comprehensive view of market dynamics, helping you identify potential trading opportunities with precision.
Key Features
- Multi-Timeframe Analysis: Effortlessly switch between various timeframes (5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, and weekly) to capture the full spectrum of market movements.
- High and Low Levels: Automatically calculates and displays the highest and lowest price levels over the last 20 bars, highlighting critical support and resistance zones.
- Market Structure Visualization: Identifies the last swing high and swing low, allowing you to recognize current market trends and potential reversal points.
- Order Block Detection: Detects significant order blocks, pinpointing areas of strong buying or selling pressure that can indicate potential market reversals.
- Custom Alerts: Set alerts for when the price crosses above or below identified order block levels, enabling you to act swiftly on trading opportunities.
How to Use the Indicator
1. Add the Indicator to Your Chart
- Open TradingView.
- Click on the "Indicators" button at the top of the screen.
- Search for "ICT & SMC Multi-Timeframe by " in the search bar.
- Click on the indicator to add it to your chart.
2. Select Your Timeframe
- Use the dropdown menu to choose your preferred timeframe (5, 15, 30, 60, 240, D, W) for analysis.
3. Interpret the Signals
- High Level (Green Line): Represents the highest price level over the last 20 bars, acting as a potential resistance level.
- Low Level (Red Line): Represents the lowest price level over the last 20 bars, acting as a potential support level.
- Last Swing High (Blue Cross): Indicates the most recent significant high, useful for identifying potential reversal points.
- Last Swing Low (Orange Cross): Indicates the most recent significant low, providing insight into market structure.
- Order Block High (Purple Line): Marks the upper boundary of a detected order block, suggesting potential selling pressure.
- Order Block Low (Yellow Line): Marks the lower boundary of a detected order block, indicating potential buying pressure.
4. Set Alerts
- Utilize the alert conditions to receive notifications when the price crosses above or below the order block levels, allowing you to stay informed about potential trading opportunities.
5. Implement Risk Management
- Always use proper risk management techniques. Consider setting stop-loss orders based on the identified swing highs and lows or the order block levels to protect your capital.
Conclusion
The ICT & SMC Multi-Timeframe by indicator is an essential tool for traders looking to enhance their market analysis and decision-making process. By leveraging multi-timeframe insights, market structure visualization, and order block detection, you can navigate the complexities of the market with confidence. Start using this powerful indicator today and take your trading to the next level.
⚠️ Trade Responsibly
This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
TTM Squeeze Momentum MTF [Cometreon]TTM Squeeze Momentum MTF combines the core logic of both the Squeeze Momentum by LazyBear and the TTM Squeeze by John Carter into a single, unified indicator. It offers a complete system to analyze the phase, direction, and strength of market movements.
Unlike the original versions, this indicator allows you to choose how to calculate the trend, select from 15 different types of moving averages, customize every parameter, and adapt the visual style to your trading preferences.
If you are looking for a powerful, flexible and highly configurable tool, this is the perfect choice for you.
🔷 New Features and Improvements
🟩 Unified System: Trend Detection + Visual Style
You can decide which logic to use for the trend via the "Show TTM Squeeze Trend" input:
✅ Enabled → Trend calculated using TTM Squeeze
❌ Disabled → Trend based on Squeeze Momentum
You can also customize the visual style of the indicator:
✅ Enable "Show Histogram" for a visual mode using Histogram, Area, or Column
❌ Disable it to display the classic LazyBear-style line
Everything updates automatically and dynamically based on your selection.
🟩 Full Customization
Every base parameter of the original indicator is now fully configurable: lengths, sources, moving average types, and more.
You can finally adapt the squeeze logic to your strategy — not the other way around.
🟩 Multi-MA Engine
Choose from 15 different Moving Averages for each part of the calculation:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
RMA (Smoothed Moving Average)
HMA (Hull Moving Average)
JMA (Jurik Moving Average)
DEMA (Double Exponential Moving Average)
TEMA (Triple Exponential Moving Average)
LSMA (Least Squares Moving Average)
VWMA (Volume-Weighted Moving Average)
SMMA (Smoothed Moving Average)
KAMA (Kaufman’s Adaptive Moving Average)
ALMA (Arnaud Legoux Moving Average)
FRAMA (Fractal Adaptive Moving Average)
VIDYA (Variable Index Dynamic Average)
🟩 Dynamic Signal Line
Apply a moving average to the momentum for real-time cross signals, with full control over its length and type.
🟩 Multi-Timeframe & Multi-Ticker Support
You're no longer limited to the chart's current timeframe or ticker. Apply the squeeze to any symbol or timeframe without repainting.
🔷 Technical Details and Customizable Inputs
This indicator offers a fully modular structure with configurable parameters for every component:
1️⃣ Squeeze Momentum Settings – Choose the source, length, and type of moving average used to calculate the base momentum.
2️⃣ Trend Mode Selector – Toggle "Show TTM Squeeze Trend" to select the trend logic displayed on the chart:
✅ Enabled – Shows the trend based on TTM Squeeze (Bollinger Bands inside/outside Keltner Channel)
❌ Disabled – Displays the trend based on Squeeze Momentum logic
🔁 The moving average type for the Keltner Channel is handled automatically, so you don't need to select it manually, even if the custom input is disabled.
3️⃣ Signal Line – Toggle the Signal Line on the Squeeze Momentum. Select its length and MA type to generate visual cross signals.
4️⃣ Bollinger Bands – Configure the length, multiplier, source, and MA type used in the bands.
5️⃣ Keltner Channel – Adjust the length, multiplier, source, and MA type. You can also enable or disable the True Range option.
6️⃣ Advanced MA Parameters – Customize the parameters for advanced MAs (JMA, ALMA, FRAMA, VIDYA), including Phase, Power, Offset, Sigma, and Shift values.
7️⃣ Ticker & Input Source – Select the ticker and manage inputs for alternative chart types like Renko, Kagi, Line Break, and Point & Figure.
8️⃣ Style Settings – Choose how the squeeze is displayed:
Enable "Show Histogram" for Histogram, Area, or Column style
Disable it to show the classic LazyBear-style line
Use Reverse Color to invert line colors
Toggle Show Label to highlight Signal Line cross signals
Customize trend colors to suit your preferences
9️⃣ Multi-Timeframe Options - Timeframe – Use the squeeze on higher timeframes for stronger confirmation
🔟 Wait for Timeframe Closes -
✅ Enabled – Prevents multiple signals within the same candle
❌ Disabled – Displays the indicator smoothly without delay
🔧 Default Settings Reference
To replicate the default settings of the original indicators as they appear when first applied to the chart, use the following configurations:
🟩 TTM Squeeze (John Carter Style)
Squeeze
Length: 20
MA Type: SMA
Show TTM Squeeze Trend: Enabled
Bollinger Bands
Length: 20
Multiplier: 2.0
MA Type: SMA
Keltner Channel
Length: 20
Multiplier: 1.0
Use True Range: ON
MA Type: EMA
Style
Show Histogram: Enabled
Reverse Color: Enabled
🟩 Squeeze Momentum (LazyBear Style)
Squeeze
Length: 10
MA Type: SMA
Show TTM Squeeze Trend: Disabled
Bollinger Bands
Length: 20
Multiplier: 1.5
MA Type: SMA
Keltner Channel
Length: 10
Multiplier: 1.5
Use True Range: ON
MA Type: SMA
Style
Show Histogram: Disabled
Reverse Color: Disabled
⚠️ These values are intended as a starting point. The Cometreon indicator lets you fully customize every input to fit your trading style.
🔷 How to Use Squeeze Momentum Pro
🔍 Identifying Trends
Squeeze Momentum Pro supports two different methods for identifying the trend visually, each based on a distinct logic:
Squeeze Momentum Trend (LazyBear-style):
Displays 3 states based on the position of the Bollinger Bands relative to the Keltner Channel:
🔵 Blue = No Squeeze (BB outside KC and KC outside BB)
⚪️ White = Squeeze Active (BB fully inside KC)
⚫️ Gray = Neutral state (none of the above)
TTM Squeeze Trend (John Carter-style):
Calculates the difference in width between the Bollinger Bands and the Keltner Channel:
🟩 Green = BB width is greater than KC → potential expansion phase
🟥 Red = BB are tighter than KC → possible compression or pre-breakout
📈 Interpreting Signals
Depending on the active configuration, the indicator can provide various signals, including:
Trend color → Reflects the current compression/expansion state (based on selected mode)
Momentum value (above or below 0) → May indicate directional pressure
Signal Line cross → Can highlight momentum shifts
Color change in the momentum → May suggest a potential trend reversal
🛠 Integration with Other Tools
Squeeze Momentum Pro works well alongside other indicators to strengthen market context:
✅ Volume Profile / OBV – Helps confirm accumulation or distribution during squeezes
✅ RSI – Useful to detect divergence between momentum and price
✅ Moving Averages – Ideal for defining primary trend direction and filtering signals
☄️ If you find this indicator useful, leave a Boost to support its development!
Every piece of feedback helps improve the tool and deliver an even better trading experience.
🔥 Share your ideas or feature requests in the comments!
Smarter Money Concepts - FVGs [PhenLabs]📊 Smarter Money Concepts - FVGs
Version: PineScript™ v6
📌 Description
Smarter Money Concepts - FVGs is a sophisticated indicator designed to identify and track Fair Value Gaps (FVGs) in price action. These gaps represent market inefficiencies where price moves quickly, creating imbalances that often attract subsequent price action for mitigation. By highlighting these key areas, traders can identify potential zones for reversals, continuations, and price targets.
The indicator employs volume filtering ideology to highlight only the most significant FVGs, reducing noise and focusing on gaps formed during periods of higher relative volume. This combination of price structure analysis and volume confirmation provides traders with high-probability areas of interest that institutional smart money may target during future price movements.
🚀 Points of Innovation
Volume-Filtered Gap Detection : Eliminates low-significance FVGs by requiring a minimum volume threshold, focusing only on gaps formed with institutional participation
Equilibrium Line Visualization : Displays the midpoint of each gap as a potential precision target for trades
Automated Gap Mitigation Tracking : Monitors when price revisits and mitigates gaps, automatically managing visual elements
Time-Based Gap Management : Intelligently filters gaps based on a configurable timeframe, maintaining chart clarity
Dual Direction Analysis : Simultaneously tracks both bullish and bearish gaps, providing a complete market structure view
Memory-Optimized Design : Implements efficient memory management for smooth chart performance even with numerous FVGs
🔧 Core Components
Fair Value Gap Detection : Identifies price inefficiencies where the current candle’s low is higher than the previous candle’s high (bearish FVG) or where the current candle’s high is lower than the previous candle’s low (bullish FVG).
Volume Filtering Mechanism : Calculates relative volume compared to a moving average to qualify only gaps formed during significant market activity.
Mitigation Tracking : Continuously monitors price action to detect when gaps get filled, with options to either hide or maintain visual representation of mitigated gaps.
🔥 Key Features
Customizable Gap Display : Toggle visibility of bullish and bearish gaps independently to focus on your preferred market direction
Volume Threshold Control : Adjust the minimum volume ratio required for gap qualification, allowing fine-tuning between sensitivity and significance
Flexible Mitigation Methods : Choose between “Wick” or “Close” methods for determining when a gap has been mitigated, adapting to different trading styles
Visual Customization : Full control over colors, transparency, and style of gap boxes and equilibrium lines
🎨 Visualization
Gap Boxes : Rectangular highlights showing the exact price range of each Fair Value Gap. Bullish gaps indicate potential upward price targets, while bearish gaps show potential downward targets.
Equilibrium Lines : Dotted lines running through the center of each gap, representing the mathematical midpoint that often serves as a precision target for price movement.
📖 Usage Guidelines
General Settings
Days to Analyze : Default: 15, Range: 1-100. Controls how many days of historical gaps to display, balancing between comprehensive analysis and chart clarity
Visual Settings
Bull Color : Default:(#596fd33f). Color for bullish Fair Value Gaps, typically using high transparency for clear chart visibility
Bear Color : Default:(#d3454575). Color for bearish Fair Value Gaps, typically using high transparency for clear chart visibility
Equilibrium Line : Default: Enabled. Toggles visibility of the center equilibrium line for each FVG
Eq. Line Color : Default: Black with 99% transparency. Sets the color of equilibrium lines, usually kept subtle to avoid chart clutter
Eq. Line Style : Default: Dotted, Options: Dotted, Solid, Dashed. Determines the line style for equilibrium lines
Mitigation Settings
Mitigation Method : Default: Wick, Options: Wick, Close. Determines how gap mitigation is calculated - “Wick” uses high/low values while “Close” uses open/close values for more conservative mitigation criteria
Hide Mitigated : Default: Enabled. When enabled, gaps become transparent once mitigated, reducing visual clutter while maintaining historical context
Volume Filter
Volume Filter : Default: Enabled. When enabled, only shows gaps formed with significant volume relative to recent average
Min Ratio : Default: 1.5, Range: 0.1-10.0. Minimum volume ratio compared to average required to display an FVG; higher values filter out more gaps
Periods : Default: 15, Range: 5-50. Number of periods used to calculate the average volume baseline
✅ Best Use Cases
Identifying potential reversal zones where price may react after extended moves
Finding precise targets for take-profit placement in trend-following strategies
Detecting institutional interest areas for potential breakout or breakdown confirmations
Plotting significant support and resistance zones based on structural imbalances
Developing fade strategies at key market structure points
Confirming trade entries when price approaches significant unfilled gaps
⚠️ Limitations
Works best on higher timeframes where gaps reflect more significant market inefficiencies
Very choppy or ranging markets may produce small gaps with limited predictive value
Volume filtering depends on accurate volume data, which may be less reliable for some symbols
Performance may be affected when displaying a very large number of historical gaps
Some gaps may never be fully mitigated, particularly in strongly trending markets
💡 What Makes This Unique
Volume Intelligence : Unlike basic FVG indicators, this script incorporates volume analysis to identify the most significant structural imbalances, focusing on quality over quantity.
Visual Clarity Management : Automatic handling of mitigated gaps and memory management ensures your chart remains clean and informative even over extended analysis periods.
Dual-Direction Comprehensive Analysis : Simultaneously tracks both bullish and bearish gaps, providing a complete market structure picture rather than forcing a directional bias.
🔬 How It Works
1. Gap Detection Process :
The indicator examines each candle in relation to previous candles, identifying when a gap forms between the low of candle and high of candle (bearish FVG) or between the high of candle and low of candle (bullish FVG). This specific candle relationship identifies true structural imbalances.
2. Volume Qualification :
For each potential gap, the algorithm calculates the relative volume compared to the configured period average. Only gaps formed with volume exceeding the minimum ratio threshold are displayed, ensuring focus on institutionally significant imbalances.
3. Equilibrium Calculation :
For each qualified gap, the script calculates the precise mathematical midpoint, which becomes the equilibrium line - a key target that price often gravitates toward during mitigation attempts.
4. Mitigation Tracking :
The indicator continuously monitors price action against existing gaps, determining mitigation based on the selected method (wick or close). When price reaches the equilibrium point, the gap is considered mitigated and can be visually updated accordingly.
💡 Note:
Fair Value Gaps represent market inefficiencies that often, but not always, get filled. Use this indicator as part of a complete trading strategy rather than as a standalone system. The most valuable signals typically come from combining FVG analysis with other confirmatory indicators and overall market context. For optimal results, start with the default settings and gradually adjust parameters to match your specific trading timeframe and style.
SCE GANN PredictionsThis is a script designed to give an insight on price direction from being above or below a GANN Value.
What Are GANN Waves?
The SCE GANN Predictions indicator is inspired by the work of W.D. Gann, a renowned trader who believed that price movements follow geometric and mathematical patterns. GANN waves use past price behavior—specifically momentum or "velocity"—to forecast where prices might head next.
How Does the Indicator Work?
Calculating Velocity
The script starts by measuring the "velocity" of price movement over a user-defined lookback period (denoted as n). This velocity is the average difference between the close and open prices over n bars. Think of it as the market’s speed in a given direction.
Predicting the Future Price
Using this velocity, the indicator estimates a future price after a specific time horizon—calculated as n + n*2 bars into the future (e.g., if n = 15, it predicts 45 bars ahead). It scales the velocity by a ratio (Gr) to determine the "end price." This is the raw GANN prediction.
Optimizing the Ratio (Gr)
The key to a good prediction is finding the right Gr. The script tests a range of Gr values (from Gr_min to Gr_max, stepping by Gr_step) and evaluates each one by calculating the sum of squared errors (SSE) between the predicted prices and the actual historical close prices. The Gr with the lowest SSE is deemed "optimal" and used for the final prediction.
Smoothing with an SMA
The raw GANN prediction is then smoothed using a simple moving average (SMA) over the lookback period (n). This SMA is plotted on your chart, serving as a dynamic trend line. The plot’s color changes based on the current price: teal if the close is above the SMA (bullish), and red if below (bearish).
Visuals
This example shows how the value explains price strength and changes color. When the price is above the line, and it’s green, we’re showing an up trend. The opposite is when the price is below the line, and it’s red, showing a down trend.
We can see that there may be moments where price drops under the value for just that one bar.
In scenarios with sideways price action, even though the price crosses, there is no follow through. This is a shortcoming of the overall concept.
Customizable Inputs
Timeframe: Choose the timeframe for analysis (default is 2 minutes).
Show GANN Wave: Toggle the GANN SMA plot on or off (default is true).
Lookback Period (Gn): Set the number of bars for velocity and SMA calculations (default is 15).
Min Ratio (Gr_min): The lower bound for the Gr optimization (default is 0.05).
Max Ratio (Gr_max): The upper bound for Gr (default is 0.2).
Step for Gr (Gr_step): The increment for testing Gr values (default is 0.01).
How to Use SCE GANN Predictions
Trend Direction
The colored SMA provides a quick visual cue. Teal suggests an uptrend, while red hints at a downtrend. Use this to align your trades with the broader momentum.
Crossover Signals
Watch for the close price crossing the GANN SMA. A move above could signal a buy opportunity, while a drop below might indicate a sell. Combine this with other indicators for confirmation.
Fine-Tuning
Experiment with the lookback period (Gn) and Gr range to optimize for your market. Shorter lookbacks might suit fast-moving assets, while longer ones could work for slower trends.
Like any technical tool, SCE GANN Predictions isn’t a crystal ball. It’s based on historical data and mathematical assumptions, so it won’t always be spot-on.
vidya_calculateLibrary "vidya_calculate"
:
Calculates the Variable Index Dynamic Average (VIDYA).
Computes the VIDYA, which adjusts the degree of smoothing based on the strength of price momentum (absolute value of CMO),
and then returns the 15-period(variable) Simple Moving Average (SMA) of that VIDYA.
VIDYA tends to follow prices more closely when price fluctuations are large, and is smoothed more when fluctuations are small.
CMO = Chande Momentum Oscillator.
vidya(src, vidyaLength, vidyaMomentum, vidyaTrendPeriod)
: Calculates the Variable Index Dynamic Average (VIDYA)
Parameters:
src (float) : : Source
vidyaLength (int) : : VIDYA Length
vidyaMomentum (int) : : VIDYA Momentum
vidyaTrendPeriod (int) : : VIDYA Trend Period (Display)
Returns: : the 15-period(variable) Simple Moving Average (SMA) of that VIDYA
RSI3M3+ v.1.8RSI3M3+ v.1.8 Indicator
This script is an advanced trading indicator based on Walter J. Bressert's cycle analysis methodology, combined with an RSI (Relative Strength Index) variation. Let me break it down and explain how it works.
Core Concepts
The RSI3M3+ indicator combines:
A short-term RSI (3-period)
A 3-period moving average to smooth the RSI
Bressert's cycle analysis principles to identify optimal trading points
RSI3M3+ Indicator VisualizationImage Walter J. Bressert's Cycle Analysis Concepts
Walter Bressert was a pioneer in cycle analysis trading who believed markets move in cyclical patterns that can be measured and predicted. His key principles integrated into this indicator include:
Trading Cycles: Markets move in cycles with measurable time spans from low to low
Timing Bands: Projected periods when the next cyclical low or high is anticipated
Oscillator Use: Using oscillators like RSI to confirm cycle position
Entry/Exit Rules: Specific rules for trade entry and exit based on cycle position
Key Parameters in the Script
Basic RSI Parameters
Required bars: Minimum number of bars needed (default: 20)
Overbought region: RSI level considered overbought (default: 70)
Oversold region: RSI level considered oversold (default: 30)
Bressert-Specific Parameters
Cycle Detection Length: Lookback period for cycle identification (default: 30)
Minimum/Maximum Cycle Length: Expected cycle duration in days (default: 15-30)
Buy Line: Lower threshold for buy signals (default: 40)
Sell Line: Upper threshold for sell signals (default: 60)
How the Indicator Works
RSI3M3 Calculation:
Calculates a 3-period RSI (sRSI)
Smooths it with a 3-period moving average (sMA)
Cycle Detection:
Identifies bottoms: When the RSI is below the buy line (40) and starting to turn up
Identifies tops: When the RSI is above the sell line (60) and starting to turn down
Records these points to calculate cycle lengths
Timing Bands:
Projects when the next cycle bottom or top should occur
Creates visual bands on the chart showing these expected time windows
Signal Generation:
Buy signals occur when the RSI turns up from below the oversold level (30)
Sell signals occur when the RSI turns down from above the overbought level (70)
Enhanced by Bressert's specific timing rules
Bressert's Five Trading Rules (Implemented in the Script)
Cycle Timing: The low must be 15-30 market days from the previous Trading Cycle bottom
Prior Top Validation: A Trading Cycle high must have occurred with the oscillator above 60
Oscillator Behavior: The oscillator must drop below 40 and turn up
Entry Trigger: Entry is triggered by a rise above the price high of the upturn day
Protective Stop: Place stop slightly below the Trading Cycle low (implemented as 99% of bottom price)
How to Use the Indicator
Reading the Chart
Main Plot Area:
Green line: 3-period RSI
Red line: 3-period moving average of the RSI
Horizontal bands: Oversold (30) and Overbought (70) regions
Dotted lines: Buy line (40) and Sell line (60)
Yellow vertical bands: Projected timing windows for next cycle bottom
Signals:
Green up arrows: Buy signals
Red down arrows: Sell signals
Trading Strategy
For Buy Signals:
Wait for the RSI to drop below the buy line (40)
Look for an upturn in the RSI from below this level
Enter the trade when price rises above the high of the upturn day
Place a protective stop at 99% of the Trading Cycle low
For Sell Signals:
Wait for the RSI to rise above the sell line (60)
Look for a downturn in the RSI from above this level
Consider exiting or taking profits when a sell signal appears
Alternative exit: When price moves below the low of the downturn day
Cycle Timing Enhancement:
Pay attention to the yellow timing bands
Signals occurring within these bands have higher probability of success
Signals outside these bands may be less reliable
Practical Tips for Using RSI3M3+
Timeframe Selection:
The indicator works best on daily charts for intermediate-term trading
Can be used on weekly charts for longer-term position trading
On intraday charts, adjust cycle lengths accordingly
Market Applicability:
Works well in trending markets with clear cyclical behavior
Less effective in choppy, non-trending markets
Consider additional indicators for trend confirmation
Parameter Adjustment:
Different markets may have different natural cycle lengths
You may need to adjust the min/max cycle length parameters
Higher volatility markets may need wider overbought/oversold levels
Trade Management:
Enter trades when all Bressert's conditions are met
Use the protective stop as defined (99% of cycle low)
Consider taking partial profits at the projected cycle high timing
Advanced Techniques
Multiple Timeframe Analysis:
Confirm signals with the same indicator on higher timeframes
Enter in the direction of the larger cycle when smaller and larger cycles align
Divergence Detection:
Look for price making new lows while RSI makes higher lows (bullish)
Look for price making new highs while RSI makes lower highs (bearish)
Confluence with Price Action:
Combine with support/resistance levels
Use with candlestick patterns for confirmation
Consider volume confirmation of cycle turns
This RSI3M3+ indicator combines the responsiveness of a short-term RSI with the predictive power of Bressert's cycle analysis, offering traders a sophisticated tool for identifying high-probability trading opportunities based on market cycles and momentum shifts.
THANK YOU FOR PREVIOUS CODER THAT EFFORT TO CREATE THE EARLIER VERSION THAT MAKE WALTER J BRESSERT CONCEPT IN TRADINGVIEW @ADutchTourist
Abhi's Bollinger Band Reversal SignalThis Pine Script indicator is designed to detect reversal trade opportunities using Bollinger Band breakouts. It identifies both buy and sell setups with clearly defined entry, stop-loss (SL), and target (TP) conditions. It also manages trades visually with real-time signal plotting, and limits entries per trading day.
⚙️ How It Works
🔽 Sell Signal Conditions
- The previous candle must close above the upper Bollinger Band, and its entire body must be above the band
- The current candle must fail to break the previous high, and must break below the previous low
- Entry is taken at the previous candle’s low, with SL at its high
- Target is calculated based on a configurable Risk:Reward ratio
🔼 Buy Signal Conditions
- The previous candle must close below the lower Bollinger Band, and its entire body must be below the band
- The current candle must fail to break the previous low, and must break above the previous high
- Entry is at the previous candle’s high, with SL at its low
- Target is calculated using the same Risk:Reward ratio
⏰ Time-Based Exit
- If a trade is still active by a user-defined exit time (e.g. 15:15), the trade is closed
- Labels are plotted to show whether this exit was a profit or loss
🧩 User Inputs
- Start Time for signals
- Exit Time for open trades
- Bollinger Band Settings: Period and Std Dev
- Max Entries Per Day
- Risk:Reward Ratio: Dropdown for 1:1, 1:1.5, ..., 1:3
🎨 Visual Features
✅ BUY and SELL signals are plotted when valid conditions are detected
🟢 TP and 🔴 SL labels show trade outcome
🕒 TIME EXIT labels appear at user-set exit time with green/red coloring based on profitability
📉 Bollinger Bands plotted for visual context
📌 Notes:
- Designed for intraday trading, resets entry counter daily
- Uses bar_index > tradeBarIndex to avoid SL/TP being triggered on the same candle as entry
- Tracks only one trade at a time (tradeActive) — ensures clear, non-overlapping logic
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
