Bitcoin Liquidity Breakout with ICT StrategiesBitcoin Liquidity Breakout with ICT Strategies
a one of many scripts developed by our engineers .
Check the results for yourself
Chart patterns
OmniPulse (Fixed Version)OmniPulse (Fixed Version) – Description
OmniPulse is a multi-indicator framework designed to combine three core oscillators—RSI, Stochastic, and Momentum—at various lookback lengths, then refine their signals using placeholder features such as machine learning forecasting, adaptive cycle detection, and neural network filtering. While some of these advanced features are not natively supported in Pine Script, they are represented here in simplified forms to illustrate how a more sophisticated system could be structured.
Key Components:
Multi-Length Oscillator Arrays
RSI (calcrsi() function)
Stochastic (placeholder via ta.sma() on a typical price average)
Momentum (ta.roc())
These are calculated for multiple lengths defined by the rsiLengths, stochLengths, and momentumLengths arrays.
Dual-Threshold Convergence
Compares each oscillator’s value to user-defined upper/lower thresholds (threshold1, threshold2) to identify bullish or bearish conditions.
Summarizes results in a convergence score.
Placeholder Machine Learning Forecast
Demonstrates a simple averaging of oscillator values as a “forecast” when toggled on.
Adaptive Cycle Detection (Placeholder)
Introduces a static cycle period (e.g., 20.0) as a placeholder for more advanced transforms.
Neural Network Filter (Placeholder)
Averages convergence, forecast, and cyclePeriod into a single filteredSignal.
Signal Plotting
Plots the filtered signal on the chart.
Highlights potential bullish or bearish extremes with shape markers based on percentile thresholds.
Practical Use & Extension:
Real Multi-Timeframe Analysis: Replace placeholders with request.security() for each timeframe.
Advanced Forecasting: Incorporate custom or external machine learning models.
Genuine Cycle Detection: Implement more sophisticated logic or user-defined cycle detection tools.
Neural Network Heuristics: Expand the placeholder step into a deeper filtering or weighting system.
Overall, OmniPulse serves as an adaptable blueprint for traders and developers, showcasing how multiple indicators and advanced concepts might be combined into a cohesive, signal-generating framework.
@unlcesyp smart wick reversal@unlcesyp smart wick reversal
This indicator helps you spot potential market reversals by highlighting abnormal wicks that often signal a turning point. It adapts to changing market volatility and volume, making it more reliable across different market conditions.
How It Works
1. Wick Analysis
- Measures upper and lower wicks over a chosen lookback period.
- Calculates the average and standard deviation of these wicks, then flags “abnormally long” wicks.
2. Adaptive Volatility
- Uses an ATR-based volatility factor to adjust the wick threshold.
- In high-volatility conditions, the threshold is higher, reducing false signals.
3. Trend Check
- Select either an SMA or EMA to determine if the market is in an uptrend or downtrend.
- A large upper wick in an uptrend can signal bullish exhaustion (potential reversal down).
- A large lower wick in a downtrend can signal bearish exhaustion (potential reversal up).
4. Optional Volume Confirmation
- Checks if volume is above its average to ensure strong participation in the move.
- Helps filter out weak, low-volume signals.
5. Signals
- Red ▼ (triangle down) = Potential Bearish Reversal
- Green ▲ (triangle up) = Potential Bullish Reversal
Why Use It?
- Adaptive: Automatically adjusts to changes in market volatility.
- Flexible Trend Basis: Choose SMA or EMA for calculating market trend.
- Volume Filter: Adds an extra layer of confirmation.
- Clear Visuals: Marks potential reversals with simple, unobtrusive shapes.
Inputs Explained
1. Lookback Period for Wick Analysis (`length`)
- Default: 20
- Number of bars used to calculate wick averages. Higher values = smoother signals; lower values = more reactive.
2. ATR Length for Volatility Filtering (`atr_length`)
- Default: 14
- Number of bars the ATR uses to gauge volatility.
3. Base Threshold Multiplier (`base_multiplier`)
- Default: 2.0
- Multiplier for standard deviation of wicks. Higher = fewer (but potentially stronger) signals.
4. Volatility Sensitivity Factor (`volatility_sensitivity`)
- Default: 1.5
- Adjusts how much volatility affects the threshold. Higher = more adaptive; lower = more stable.
5. Enable Volume Confirmation (`volume_filter`)
- Default: true
- When enabled, signals only appear if volume exceeds its average by a specified multiplier.
6. Volume Spike Multiplier (`vol_multiplier`)
- Default: 1.5
- Determines how much above average volume must be to confirm a signal.
7. Trend Calculation Method (`trendMethod`)
- Options: “SMA” or “EMA”
- Determines the type of moving average to evaluate the market trend for exhaustion signals.
Best Practices
- Combine with other price action or technical indicators to confirm signals.
- Use on multiple timeframes for a broader market perspective.
- Adjust parameters (`length`, `atr_length`, `base_multiplier`) for different assets or personal preference.
Buyable Gap Ups (BGU) ScreenerBuyable Gap Ups (BGU) Screener
This custom indicator detects Buyable Gap Ups (BGU), designed to identify stocks with significant price movements driven by gap-ups, often signaling strong bullish momentum. It helps traders spot potential opportunities where a stock has gapped up above the previous day's high with increased volume, suggesting the possibility of continued price strength.
Key Features:
Gap Percentage Threshold: Set a minimum gap percentage required for a valid buyable gap-up.
Volume Change Threshold: Identifies gap-ups accompanied by a significant increase in volume compared to the 50-day average.
ATR-Based Gap Detection (Optional): Use Average True Range (ATR) to determine whether the gap is large enough, factoring in recent volatility.
Customizable Lookback Period: Adjust the number of recent bars to track the frequency of BGU occurrences.
Volume Confirmation: Only signals buyable gaps when volume surpasses a defined threshold above the 50-day average.
Input Parameters:
Gap Percentage Threshold: Adjusts the minimum percentage gap for a valid signal.
Volume Change Threshold: Determines the minimum percentage increase in volume compared to the 50-day moving average.
Use ATR Gap: Option to use ATR to determine the minimum gap size instead of the percentage gap.
ATR Multiplier for Gap: Customizes the gap size based on the ATR.
ATR Length: Adjusts the lookback period for calculating ATR.
Lookback Period for BGU: Set the number of bars over which to calculate the BGU count.
Alerts & Signals:
The script will plot signals below bars where a valid BGU condition is met.
Alerts can be set for when a BGU is detected, giving real-time notifications for potential trading opportunities.
This indicator is designed to help traders find stocks showing strong bullish momentum, especially after earnings or other market-moving events, with the potential for continued uptrend. It is ideal for those looking to incorporate gap-based strategies in their trading.
Month of Year Performance█ OVERVIEW
The Month of Year Performance indicator is designed to visualize and compare the cumulative percentage change for each month of the year. By aggregating monthly returns, it helps uncover seasonal trends and potential anomalies in financial markets.
In financial analysis, a calendar based anomaly refers to recurring patterns or tendencies associated with specific time periods, such as days of the week. By calculating the cumulative percentage change for each month (January through December) and displaying the results both graphically and in a summary table, this indicator helps identify whether certain months
consistently outperform others.
█ FEATURES
Customisable time window via Time Settings.
Calculates cumulative percentage change for each month (January to December) separately.
Built-in error check to ensure the indicator is applied on a Monthly timeframe.
Distinct visual representation for each month using unique colours.
Customisable table settings including location and font size.
Displays a performance summary table with metrics such as performance, average return, % positive, and count.
█ HOW TO USE
Add the indicator to a chart set to a Monthly timeframe.
Select your desired Start Time and End Time in the Time Settings.
Toggle the performance table on or off in the Table Settings.
Adjust the table’s location and font size as needed.
View the cumulative monthly performance plotted in distinct colours.
Colour Scheme:
January: Blue
February: Red
March: Green
April: Orange
May: Purple
June: Fuchsia
July: Teal
August: Yellow
September: Navy
October: Lime
November: Maroon
December: Aqua
Day of Week Performance█ OVERVIEW
The Day of Week Performance indicator is designed to visualise and compare the cumulative percentage change for each day of the week. This indicator explores one of the many calendar based anomalies in financial markets.
In financial analysis, a calendar based anomaly refers to recurring patterns or tendencies associated with specific time periods, such as days of the week. By calculating the cumulative percentage change for each day (Monday through Friday) and displaying the results both graphically and in a summary table, this indicator helps identify whether certain days consistently outperform others.
█ FEATURES
Customisable time window via Time Settings.
Calculates cumulative percentage change for each day (Monday to Friday) separately.
Option to use Sunday instead of Friday for CFDs and Futures analysis.
Distinct visual representation for each day using unique colours.
Customisable table settings including position and font size.
Built-in error checks to ensure the indicator is applied on a Daily timeframe.
█ HOW TO USE
Add the indicator to a chart set to a Daily timeframe.
Select your desired Start Time and End Time in the Time Settings.
Toggle the performance table on or off in the Table Settings.
Adjust the table’s location and font size as needed.
Use the "Use Sunday instead of Friday" option if your market requires it.
View the cumulative performance plotted in distinct colours.
Colour Scheme:
Monday: Blue
Tuesday: Red
Wednesday: Green
Thursday: Orange
Friday: Purple
EBL - Enigma BOS Logic: A Comprehensive Multi-Timeframe Trend anThe EBL (Enigma BOS Logic) script is designed for traders seeking an advanced and versatile tool for identifying market trends, breakouts, and critical price levels. This indicator leverages multi-timeframe analysis, trend filtering, and customizable guidance line settings to provide an all-in-one solution for informed trading decisions.
What Does EBL Do?
EBL identifies critical breakout levels (BOS - Break of Structure) on up to three selected timeframes and dynamically plots them as horizontal guidance lines. It combines these levels with trend analysis and user-defined filters to show only the most relevant data. The script offers flexibility to adapt to different trading styles, whether you're a scalper, day trader, or swing trader.
Key Features:
Multi-Timeframe Analysis:
Users can select three distinct timeframes (e.g., 4H, 30m, 15m).
Execution timeframe (e.g., 1m or 5m) overlays the lines from the selected higher timeframes for real-time precision.
Customizable Guidance Lines:
Define line length (horizontal bars) and choose whether lines extend to the current price.
Individual color settings for bullish and bearish lines.
Trend Detection Filter:
Automatically determines the overall market trend based on the 50-period SMA on each selected timeframe.
Displays only bullish lines during uptrends and bearish lines during downtrends.
Time-Limited Display:
Option to show only lines from the last three days, reducing clutter and focusing on recent price action.
Alerts:
Trigger alerts when price breaks above or below critical levels on any selected timeframe.
Users can choose to receive alerts only for specific timeframes.
How Does It Work?
Break of Structure (BOS):
The script captures key high and low levels on each selected timeframe.
Levels are dynamically updated as the market evolves.
Trend Filtering:
Trend direction is determined for each timeframe based on whether the close is above or below its 50-period SMA.
The overall trend combines signals from all three timeframes, providing a balanced and holistic view of the market.
User Control:
Customize everything: timeframes, colors, line behavior, and alert conditions.
Adjust filters to focus on your preferred time horizon (e.g., last 3 days).
How to Use:
Select up to three timeframes based on your trading strategy (e.g., 4H for macro view, 30m for intermediate trends, and 15m for precision).
Enable or disable the trend filter to control whether lines reflect the market's directional bias.
Configure alerts for breakout levels that align with your strategy.
Use the execution timeframe to see how higher timeframe levels interact with real-time price action.
Who Is It For?
This indicator is ideal for:
Trend Traders who want a clear view of directional bias across multiple timeframes.
Breakout Traders who need to identify key resistance and support levels dynamically.
Scalpers and Day Traders who require real-time precision by overlaying higher timeframe levels on lower execution timeframes.
Underlying Concepts:
Break of Structure (BOS): Highlights significant market pivot points, essential for identifying breakout opportunities.
Multi-Timeframe Confluence: Combines insights from various timeframes to create a balanced understanding of price behavior.
Trend Filtering: Ensures clarity by only displaying levels that align with the overall market direction.
EBL - Enigma BOS Logic is not just another breakout indicator. It is a comprehensive tool that combines multi-timeframe analysis, trend detection, and user-centric customization to empower traders with actionable insights. Whether you're analyzing macro trends or executing precision trades, EBL adapts to your strategy and provides clarity in the chaos of the market.
Sweep Candle [odnac]
ATR Imbalance Detection
This feature highlights candles that have a significantly larger range compared to the average true range (ATR).
How it works: A candle is considered imbalanced if its range (high - low) exceeds a specified multiple of the ATR (default multiplier is 1.5, with an ATR length of 5).
Visualization: Such candles are highlighted in yellow.
Engulfing Candle Detection
This feature detects bullish and bearish engulfing candles.
Types
Standard: Traditional engulfing pattern where the current candle fully "engulfs" the previous one.
Sweep: A variation where the candle engulfs the previous one and sweeps the previous low (for bullish) or high (for bearish).
Visualization:
Bullish engulfing patterns are marked with a green triangle below the candle.
Bearish engulfing patterns are marked with a red triangle above the candle.
Momentum Candle Detection
This feature identifies candles with strong upward or downward momentum compared to the previous candle.
Types
Standard: A basic momentum pattern where the current candle continues the price direction with strong momentum.
Sweep: A variation where the candle sweeps the previous low (for bullish) or high (for bearish).
Visualization:
Bullish momentum candles are marked with a green circle below the candle.
Bearish momentum candles are marked with a red circle above the candle.
Summary
This indicator helps traders identify significant market conditions such as imbalances, engulfing candles, and momentum patterns, making it a valuable tool for technical analysis and trend-following strategies.
The customizable settings provide flexibility to adapt the tool to different trading styles.
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
H&S_RSIWhat This Indicator Does
Candlestick Pattern Detection:
Hammer / Green Hammer:
Identifies candles with a long lower shadow (at least twice the body size) where the low is an extreme relative to a user‑defined lookback period. For a “Green Hammer,” the candle must be bullish (close > open) and be preceded by a minimum number of bearish candles.
Shooting Star / Red Star:
Identifies candles with a long upper shadow (at least twice the body size) where the high is an extreme compared to prior bars. The “Red Star” requires a bearish candle (close < open) and a minimum number of preceding bullish candles.
RSI Filters (Multi-Time Frame):
You can enable RSI filters for the chart timeframe and/or a higher timeframe. For Hammer patterns, the RSI must be below a set threshold (e.g., ≤30), while for Shooting Star patterns it must be above a set threshold (e.g., ≥70).
Visual Signals and Alerts:
When all conditions are met, the indicator plots labels on the chart (green labels for Hammer/Green Hammer and red labels for Shooting Star/Red Star).
Alert conditions are set so you can configure TradingView alerts.
RSI Board (Displayed via a Label):
If at least one RSI filter is enabled, a small board appears on the chart (implemented as a label) showing the current RSI values from both the chart timeframe and the higher timeframe.
The board’s position is determined by your selection ("Top Left", "Top Right", "Bottom Left", or "Bottom Right") using fixed data‑coordinate offsets.
Instructions for Use
Add the Indicator to Your Chart:
Copy and paste the complete code into a new script in TradingView’s Pine Script editor, then save and apply it to your chart.
Configure Pattern Settings:
Use the provided checkboxes and inputs to enable/disable pattern detection, set the lookback period for extremes, and specify the required consecutive bearish/bullish candles.
Set Up the RSI Filters:
Enable the RSI filters (Chart and/or Higher Time Frame) and adjust the period and threshold parameters.
Select the Board Position:
Choose your preferred board position (“Top Left”, “Top Right”, “Bottom Left”, or “Bottom Right”) from the input dropdown.
The label will be positioned relative to the current bar index and the highest/lowest value over the past 200 bars.
Review Signals and Set Alerts:
The indicator plots signals on your chart when valid patterns are detected.
You can also create alerts using the defined alert conditions.
By following these instructions and adjusting the inputs as needed, you can use this multi‑confirmation indicator to identify potential reversal patterns while monitoring RSI values from multiple timeframes.
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator
🎯 Overview
The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions.
⭐ Key Features
- 📈 Comprehensive squeeze intensity scoring system (0-100)
- 📏 Multiple Keltner Channel compression zones
- 📊 Volume analysis integration
- 🎯 EMA-based trend confirmation
- 🎨 Proximity-based entry validation
- 📱 Visual status monitoring
- 🎨 Customizable color schemes
- ⚡ Clear entry signals with directional indicators
🔧 Components
1. 📐 Squeeze Intensity Score (0-100)
The indicator calculates a total squeeze intensity score based on four components:
- 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels
- 📍 Price Position (0-20 points): Evaluates price location relative to the base channels
- 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds
- ⚡ Momentum (0-20 points): Assesses price momentum and direction
2. 🎨 Compression Zones
Visual representation of squeeze intensity levels:
- 🔴 Extreme Squeeze (80-100): Red zone
- 🟠 Strong Squeeze (60-80): Orange zone
- 🟡 Moderate Squeeze (40-60): Yellow zone
- 🟢 Light Squeeze (20-40): Green zone
- ⚪ No Squeeze (0-20): Base zone
3. 🎯 Entry Signals
The indicator generates entry signals based on:
- ✨ Squeeze release confirmation
- ➡️ Momentum direction
- 📊 Candlestick pattern confirmation
- 📈 Optional EMA trend alignment
- 🎯 Customizable EMA proximity validation
⚙️ Settings
🔧 Main Settings
- Base Length: Determines the calculation period for main indicators
- BB Multiplier: Sets the Bollinger Bands deviation multiplier
- Keltner Channel Multipliers: Three separate multipliers for different compression zones
📈 Trend Confirmation
- Four customizable EMA periods (default: 21, 34, 55, 89)
- Optional trend requirement for entry signals
- Adjustable EMA proximity threshold
📊 Volume Analysis
- Customizable volume MA length
- Adjustable volume threshold for signal confirmation
- Option to enable/disable volume analysis
🎨 Visualization
- Customizable bullish/bearish colors
- Optional intensity zones display
- Status monitor with real-time score and state information
- Clear entry arrows and background highlights
💻 Technical Code Breakdown
1. Core Calculations
// Base calculations for EMAs
ema_1 = ta.ema(close, ema_length_1)
ema_2 = ta.ema(close, ema_length_2)
ema_3 = ta.ema(close, ema_length_3)
ema_4 = ta.ema(close, ema_length_4)
// Proximity calculation for entry validation
ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100
is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent
```
### 2. Squeeze Detection System
```pine
// Bollinger Bands setup
BB_basis = ta.sma(close, length)
BB_dev = ta.stdev(close, length)
BB_upper = BB_basis + BB_mult * BB_dev
BB_lower = BB_basis - BB_mult * BB_dev
// Keltner Channels setup
KC_basis = ta.sma(close, length)
KC_range = ta.sma(ta.tr, length)
KC_upper_high = KC_basis + KC_range * KC_mult_high
KC_lower_high = KC_basis - KC_range * KC_mult_high
```
### 3. Scoring System Implementation
```pine
// Band Convergence Score
band_ratio = BB_width / KC_width
convergence_score = math.max(0, 40 * (1 - band_ratio))
// Price Position Score
price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low)
position_score = 20 * (1 - price_range)
// Final Score Calculation
squeeze_score = convergence_score + position_score + vol_score + mom_score
```
### 4. Signal Generation
```pine
// Entry Signal Logic
long_signal = squeeze_release and
is_momentum_positive and
(not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and
is_bullish_candle
short_signal = squeeze_release and
is_momentum_negative and
(not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and
is_bearish_candle
```
📈 Trading Signals
🚀 Long Entry Conditions
- Squeeze release detected
- Positive momentum
- Bullish candlestick
- Price above relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
🔻 Short Entry Conditions
- Squeeze release detected
- Negative momentum
- Bearish candlestick
- Price below relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
⚠️ Alert Conditions
- 🔔 Extreme squeeze level reached (score crosses above 80)
- 🚀 Long squeeze release signal
- 🔻 Short squeeze release signal
💡 Tips for Usage
1. 📱 Use the status monitor to track real-time squeeze intensity and state
2. 🎨 Pay attention to the color gradient for trend direction and strength
3. ⏰ Consider using multiple timeframes for confirmation
4. ⚙️ Adjust EMA and proximity settings based on your trading style
5. 📊 Use volume analysis for additional confirmation in liquid markets
📝 Notes
- 🔧 The indicator combines multiple technical analysis concepts for robust signal generation
- 📈 Suitable for all tradable markets and timeframes
- ⭐ Best results typically achieved in trending markets with clear volatility cycles
- 🎯 Consider using in conjunction with other technical analysis tools for confirmation
⚠️ Disclaimer
This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
Trend Lines by Pivots (Enhanced)### **📌 Detailed Explanation of the TradingView Indicator Code**
This **Pine Script v5** indicator automatically **detects trend lines** based on pivot highs and pivot lows. It helps traders visualize **support and resistance levels** using dynamic trend lines.
---
## **🔹 How the Indicator Works**
The indicator identifies **key pivot points** in price action and then **draws trend lines** connecting them. It works as follows:
1. **Detects Pivot Highs and Lows**:
- A **pivot high** is a local maximum where the price is higher than surrounding bars.
- A **pivot low** is a local minimum where the price is lower than surrounding bars.
2. **Stores the Last Two Pivot Points**:
- The script remembers the last **two pivot highs** and **two pivot lows**.
- These points are used to **draw resistance and support lines** dynamically.
3. **Plots Resistance and Support Lines**:
- The script continuously **updates** and **extends** the trend lines to the right as new pivots are found.
- **Red Line (Resistance):** Connects the last two pivot highs.
- **Green Line (Support):** Connects the last two pivot lows.
---
## **🔹 Code Breakdown**
### **1️⃣ Inputs for User Customization**
```pinescript
leftLen = input.int(2, "Left Pivot Length")
rightLen = input.int(2, "Right Pivot Length")
highLineColor = input.color(color.red, "Resistance Line Color")
lowLineColor = input.color(color.green, "Support Line Color")
```
- **leftLen & rightLen:** Define how many bars on the left and right should be used to confirm a pivot.
- **highLineColor:** Sets the color of the resistance trend line (default: **red**).
- **lowLineColor:** Sets the color of the support trend line (default: **green**).
---
### **2️⃣ Detect Pivot Highs & Lows**
```pinescript
pivotHigh = ta.pivothigh(leftLen, rightLen)
pivotLow = ta.pivotlow(leftLen, rightLen)
```
- `ta.pivothigh(leftLen, rightLen)`: Detects a **pivot high** if it's the highest price in a certain range.
- `ta.pivotlow(leftLen, rightLen)`: Detects a **pivot low** if it's the lowest price in a certain range.
---
### **3️⃣ Store the Last Two Pivot Points**
#### **🔺 Storing Resistance (Pivot Highs)**
```pinescript
var float lastPivotHigh1 = na
var int lastPivotHighIndex1 = na
var float lastPivotHigh2 = na
var int lastPivotHighIndex2 = na
```
- These variables store **the last two pivot highs** and their **bar indices** (position on the chart).
#### **🔻 Storing Support (Pivot Lows)**
```pinescript
var float lastPivotLow1 = na
var int lastPivotLowIndex1 = na
var float lastPivotLow2 = na
var int lastPivotLowIndex2 = na
```
- These variables store **the last two pivot lows** and their **bar indices**.
---
### **4️⃣ Update Pivot Points When New Ones Are Found**
#### **Updating Resistance (Pivot Highs)**
```pinescript
if not na(pivotHigh)
lastPivotHigh2 := lastPivotHigh1
lastPivotHighIndex2 := lastPivotHighIndex1
lastPivotHigh1 := pivotHigh
lastPivotHighIndex1 := bar_index - rightLen
```
- If a new **pivot high** is found:
- The **previous pivot** becomes `lastPivotHigh2`.
- The **new pivot** becomes `lastPivotHigh1`.
- The index (`bar_index - rightLen`) marks where the pivot occurred.
#### **Updating Support (Pivot Lows)**
```pinescript
if not na(pivotLow)
lastPivotLow2 := lastPivotLow1
lastPivotLowIndex2 := lastPivotLowIndex1
lastPivotLow1 := pivotLow
lastPivotLowIndex1 := bar_index - rightLen
```
- Similar to pivot highs, this section updates **pivot lows** dynamically.
---
### **5️⃣ Create and Update Trend Lines**
#### **🔺 Drawing the Resistance Line**
```pinescript
var line highLine = na
if not na(lastPivotHigh2) and not na(lastPivotHigh1)
if na(highLine)
highLine := line.new(lastPivotHighIndex2, lastPivotHigh2, lastPivotHighIndex1, lastPivotHigh1, color=highLineColor, extend=extend.right)
else
line.set_xy1(highLine, lastPivotHighIndex2, lastPivotHigh2)
line.set_xy2(highLine, lastPivotHighIndex1, lastPivotHigh1)
line.set_color(highLine, highLineColor)
```
- If **two pivot highs** exist:
- **First time:** Creates a new **resistance line** connecting them.
- **Updates dynamically:** Adjusts the line when a new pivot appears.
#### **🔻 Drawing the Support Line**
```pinescript
var line lowLine = na
if not na(lastPivotLow2) and not na(lastPivotLow1)
if na(lowLine)
lowLine := line.new(lastPivotLowIndex2, lastPivotLow2, lastPivotLowIndex1, lastPivotLow1, color=lowLineColor, extend=extend.right)
else
line.set_xy1(lowLine, lastPivotLowIndex2, lastPivotLow2)
line.set_xy2(lowLine, lastPivotLowIndex1, lastPivotLow1)
line.set_color(lowLine, lowLineColor)
```
- Same logic applies for **support levels**, creating or updating a **green trend line**.
---
## **🔹 How to Use This Indicator**
1. **Apply the script in TradingView**:
- Open **Pine Script Editor** → Paste the code → Click **"Add to Chart"**.
2. **Interpret the Lines**:
- **Red line (Resistance):** Price may struggle to break above it.
- **Green line (Support):** Price may bounce off it.
3. **Trading Strategy**:
- **Breakout Strategy:**
- If the price **breaks resistance**, expect a bullish move.
- If the price **breaks support**, expect a bearish move.
- **Reversal Trading:**
- Look for **bounces off support/resistance** for potential reversals.
---
## **🔹 Key Features of This Indicator**
✅ **Automatically detects pivot highs and lows.**
✅ **Draws real-time trend lines for support and resistance.**
✅ **Updates dynamically with new price action.**
✅ **Customizable settings for pivot sensitivity and colors.**
This indicator is useful for **trend traders, breakout traders, and support/resistance traders**. 🚀
Let me know if you need **further improvements or additional features!** 😊
Momentum Theory ScannerMomentum Theory Scanner is a mechanical pattern-recognition watchlist screener that utilizes higher timeframe breakout and peak levels to determine if an asset fits the criteria for a range, continuation, or reversal setup. It searches for ideal higher timeframe conditions that are usually present in high probability setups in order to reduce pre-market analysis time. It can be equally useful for scalpers, day traders, and swing traders.
✅ 8 Symbol Watchlist Scanner
✅ Mechanical Setups for Ranges, Continuations, Reversals
✅ For Scalpers, Day Traders, and Swing Traders
⚠️ Momentum Theory Scanner searches for assets that have the ideal conditions to trade a specific setup. They are NOT signals to be taken blindly without further analysis.
--- 📷 INDICATOR GALLERY ---
--- ⚡ FEATURES ---
✔ Multi-Timeframe Analysis
Displays various higher timeframe information in order to read how an asset is moving with one quick glance. Utilizes icons that serve as visual cues.
Watchlist Pair - Symbol in the watchlist
Setup Type - Shows the icon of what setup has been found ⭐ Trend Breakout
✨ Trend Breakout (Continuation)
🔥 Continuation
🚧 Range
🚩 Reversal
Quick Analysis - Displays bullish / bearish confluence based on breakout / peak bias ↗️↘️ Breakout Bias Alignment
🔼🔽 Peak Bias Alignment
🔀 Breakout and Peak Bias Alignment, but opposite
✅ Breakout and Peak Bias Alignment
Previous Bar Close - Shows how the previous bar closed Breakout
Fakeout
Inside
Outside
Trigger Type - Shows whether there is a peak breakout or fakeout ⚡ Peak Fakeout
🚀 Peak Breakout
Breakout Continuation - Shows if a timeframe has pulled back to the breakout level ▲▼ Counter-Trend Breakout
★ Breakout Continuation
Momentum Cycles - Shows which part of the momentum cycle price is currently in 🚩 Breakout Reversal
⛰️ False Breakout
🔥 Trend Reversal / Breakout Continuation
Breakout / Peak Bias - Shows the breakout level bias and if the peak has been triggered
✔ Levels Analysis
Hover over the symbol name to view which timeframe levels are bullish or bearish and if peak levels have been triggered.
✔ Built-In Presets
Create your own custom watchlist or use one of the built-in ones (using Oanda charts)
It's recommended to use the same source for all assets in your watchlist whenever possible
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. Just fill in your watchlist, add it to your chart, and start trading!
Set the indicator to the following timeframes to view those setups. When the momentum timeframe's peak is triggered, the watchlist state changes.
Month Timeframe - 12M / 6M / 3M / Month Momentum
Week Timeframe - 6M / 3M / M / Week Momentum
H1 Timeframe - 3M / M / W / Day Momentum
M20 Timeframe - M / W / D / H12 Momentum
M15 Timeframe - M / W / D / H8 Momentum
M10 Timeframe - M / W / D / H4 Momentum
M5 Timeframe - W / D / H8 / H2 Momentum
M3 Timeframe - D / H8 / H4 / H1 Momentum
--- 🧰 WATCHLIST STATES ---
⭐ Trend Breakout Setup
✨ Trend Breakout (Continuation) Setup
🔥 Continuation Setup
🚧 Range Setup
🚩 Reversal Setup
✔ Signal Bar
Ideal conditions to trade this setup are present, but has not met full setup criteria yet
✔ Signal Cycle
Asset has pulled back towards breakout level and possibly getting ready for a continuation
✔ No Setups
--- 💡 MOMENTUM THEORY CONCEPT ---
The best trade setups are found at swing points for 3 reasons:
They are the highest probability point the market will continue pushing.
They provide the best Stop Loss protection.
They offer the greatest Risk-to-Reward.
The goal of trading is to identify when these swing points occur to take the best trade setups.
Every swing point consists of a push towards a peak, a peak formation, and a push away from a peak. There is no way to know how long a push towards or away from a peak will last, but the peak formation can be identified by 2 elements:
A fakeout of a previous peak level
A flip of its last breakout level
We can track the movement of the market by looking at which peak level is triggered relative to its breakout level. How price behaves at the previous peak levels shows where momentum is headed. It continues to build towards a new peak until it fakes out the previous peak level and flips its breakout level, creating a swing point.
Swing points on the higher timeframes show up as multiple swing points on the lower timeframes, but they often won't be moving in sync. When 2 timeframe swing points get in alignment, the market will move smoothly together. You find the lower timeframe swing point the exact same way you find the higher timeframe one.
The market is constantly moving from one swing point to the next in a repeatable cycle. By using higher timeframe breakout levels and peak levels triggered, we can track where we are in this cycle to anticipate its future movement. This is the Momentum Cycle and it repeats itself over and over.
By using the exact same concept, we can identify mechanical alignment patterns on the lower timeframes to create setups that work in every phase of the market cycle. Momentum Theory Scanner searches for these patterns inside the watchlist.
✔ Range Setups
✔ Continuation Setups
✔ Reversal Setups
--- 📝 HOW TO USE ---
⚠ Click on "Indicators > Invite-Only > Momentum Theory Scanner" to add it to your charts.
1) Create your watchlist or use one of the built-in presets and place it on the timeframe you want to scan for setups (see Features above).
Put multiple together if you want more than 8 items in the watchlist. If you don't want to see the price chart, go to "Object Tree and Data Window" and turn off chart visibility.
2) Signal bars / cycles indicate that ideal conditions exist, but are not fully triggered yet. These are the pairs that should initially be focused on.
3) Setups will trigger in real-time and push to the top of the column.
⚠️ Momentum Theory Scanner searches for assets that have the ideal conditions to trade a specific setup. They are NOT signals to be taken blindly without further analysis.
Quarterly Performance█ OVERVIEW
The Quarterly Performance indicator is designed to visualise and compare the performance of different Quarters of the year. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between quarters.
By calculating cumulative quarterly performance and counting the number of quarters with positive returns, it provides a clear snapshot of whether one set of quarters tends to outperform the others, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for each quarter separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between quarterly performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a 3 Month (Quarterly) timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with Q1 in blue, Q2 in red, Q3 in green and Q4 in purple.
Even vs Odd Days Performance█ OVERVIEW
The Even vs Odd Days Performance indicator is designed to visualise and compare the performance of even-numbered days versus odd-numbered days. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd days.
By calculating cumulative daily performance and counting the number of days with positive returns, it provides a clear snapshot of whether one set of days tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd days separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd day performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Daily timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even days in green and odd days in red.
Even vs Odd Weeks Performance█ OVERVIEW
The Even vs Odd Weeks Performance indicator is designed to visualise and compare the performance of even-numbered weeks versus odd-numbered weeks. This indicator explores one of the many calendar based anomalies that exist in financial markets.
In the context of financial analysis, a calendar based anomaly refers to patterns or tendencies that are linked to specific time periods, such as days of the week, weeks of the month, or months of the year. This indicator helps explore whether such a calendar based anomaly exists between even and odd weeks.
By calculating cumulative weekly performance and counting the number of weeks with positive returns, it provides a clear snapshot of whether one set of weeks tends to outperform the other, potentially highlighting a calendar based anomaly if a significant difference is observed.
█ FEATURES
Customisable time window through input settings.
Tracks cumulative returns for even and odd weeks separately.
Easily adjust table settings like position and font size via input options.
Clear visual distinction between even and odd week performance using different colours.
Built-in error checks to ensure the indicator is applied to the correct timeframe.
█ HOW TO USE
Add the indicator to a chart with a Weekly timeframe.
Choose your start and end dates in the Time Settings.
Enable or disable the performance table in the Table Settings as needed.
View the cumulative performance, with even weeks in green and odd weeks in red.
Discount/Premium OTE LevelsThis indicator is created to identify discount/premium areas to provide additional confluence to trades taken. The underlying theory is that the trades taken in discounted areas are likely to have less risk due to a smaller stop loss and a higher reward/risk ratio.
The indicator operates by first identifying a zone between the last major swing high and low. These highs and lows are determined as price points that at the extremes within the number of bars to the left, as defined by the "Swing Sensitivity" setting.
Once a price zone is established, the indicator verifies that the zone meets the minimum size in points as configured via the "Minimum size" setting to be considered tradable. Zones that are too small may not provide a sufficient range even for scalping. The default value is 42 points based on Nasdaq, which means that the distance between inner most OTE levels (0.382 and 0.618) is at least 10 points.
When a valid zone is identified, it is then subdivided into areas of interest based on OTE levels, which can be configured/adjusted via the "Levels to Draw" setting. These levels represent the midpoint (50%), which distinguishes between premium and discount, and the three OTE levels 0.79, 0.705, 0.618, above the 50% for discount and below the 50% for premium.
For example, if a zone is formed initially by a swing low followed by a swing high with the assumption that the draw is higher, the indicator can be used to formulate long positions from below the 50% level starting at 0.38 OTE level, or ideally at 0.295 OTE level using 0 as a stop loss. Alternatively, if the 50% level is not yet tapped, short scalp positions can be made from 0.79-0.618 OTE levels with 50% as a partial or TP target.
See for long/short example
Typically, the indicator will show only a single zone. However, there may be cases with two zones: one larger parent zone containing a smaller, valid price zone within itself.
The indicator will automatically invalidate and remove the zone once the high/low of the zone is invalidated.
Configuration:
The indicator provides several visualization options for customization, including:
Color settings for OTE levels, with separate settings for edge/50% color, premium, and discount levels.
Settings for line style for OTE levels.
Settings to determine whether to show prices on level labels.
Settings to decide if lines should be extended to the right.
Ultimate T3 Fibonacci for BTC Scalping. Look at backtest report!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto trading! This strategy is for BITCOIN on the 30 minute chart since I designed it to be a scalping strategy. I calculated for trading fees, and use a small amount of capital in the backtest report. But feel free to modify the capital and how much per order to see how it changes the results:)
It is called the "Ultimate T3 Fibonacci Indicator by NHBprod" that computes and displays two T3-based moving averages derived from price data. The t3_function calculates the Tilson T3 indicator by applying a series of exponential moving averages to a combined price metric and then blending these results with specific coefficients derived from an input factor.
The script accepts several user inputs that toggle the use of the T3 filter, select the buy signal method, and set parameters like lengths and volume factors for two variations of the T3 calculation. Two T3 lines, T3 and T32, are computed with different parameters, and their colors change dynamically (green/red for T3 and blue/purple for T32) based on whether the lines are trending upward or downward. Depending on the selected signal method, the script generates buy signals either when T32 crosses over T3 or when the closing price is above T3, and similarly, sell signals are generated on the respective conditions for crossing under or closing below. Finally, the indicator plots the T3 lines on the chart, adds visual buy/sell markers, and sets alert conditions to notify users when the respective trading signals occur.
The user has the ability to tune the parameters using TP/SL, date timerames for analyses, and the actual parameters of the T3 function including the buy/sell signal! Lastly, the user has the option of trading this long, short, or both!
Let me know your thoughts and check out the backtest report!
Candle Gap ScannerThis code will compare the first candle with the second candle. If the highest value reached by the first candle is lower than the lowest value reached by the second candle, and this difference is greater than a percentage value that can be adjusted in the settings, it will place a red mark. Additionally, it will compare the first candle with the second candle again. If the lowest value reached by the first candle is higher than the highest value reached by the second candle, and this difference is greater than a percentage value that can be adjusted in the settings, it will place a red mark.
4Hour Zone SeparatorThis custom TradingView indicator draws vertical lines on your chart to visually separate the 4-hour trading zones within a single trading day. The indicator helps traders identify key time intervals throughout the day for better market analysis and decision-making.
Features:
• Time-Based Zones: The indicator divides the day into six distinct 4-hour periods, starting from midnight (00:00) and continuing every 4 hours. Each zone is marked by a vertical line on the chart.
• User Customization: You can toggle the visibility of the lines for each 4-hour period (00:00, 04:00, 08:00, 12:00, 16:00, 20:00) based on your preference. This allows you to focus on specific zones that matter most for your analysis.
• Line Styling Options: Choose from three different line styles — Solid, Dashed, or Dotted — and adjust the thickness to your desired preference.
• Dynamic Time Adjustment: The indicator automatically adjusts for the time zone, ensuring that the 00:00 timestamp reflects the correct start of the day based on your chart’s time zone.
How It Works:
1. The indicator starts by calculating the beginning of the day at 00:00, then it sequentially places vertical lines every 4 hours.
2. Each line is color-coded for easy identification, and the lines stretch from the highest to the lowest point on the chart for that range.
3. The lines are drawn only when the chart enters a new 4-hour zone.
This tool is especially useful for day traders who want to track price action during specific times of the day and make informed decisions based on market behavior within each 4-hour period.
Volatility Momentum Breakout StrategyDescription:
Overview:
The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities.
How It Works:
1. Volatility Breakout:
• Methodology:
The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds.
• Purpose:
This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation.
2. Trend Filtering:
• Methodology:
A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend.
• Purpose:
Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend.
3. Momentum Confirmation:
• Methodology:
The Relative Strength Index (RSI) is used to gauge market momentum.
• Purpose:
For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions.
Entry Conditions:
• Long Entry:
A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50).
• Short Entry:
A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50).
Risk Management:
• Position Sizing:
Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price).
• Stop Loss & Take Profit:
A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio.
• Realistic Backtesting:
The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader.
Important Disclaimers:
• No Look-Ahead Bias:
All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data.
• Educational Purpose:
This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results.
• User Responsibility:
Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment.
Conclusion:
By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
[TehThomas] - Market Structure Shift (MSS)
- Market Structure Shift (MSS) Script Overview
This TradingView script is designed to help traders identify Market Structure Shifts (MSS) and Breaks of Structure (BOS), which are key concepts in ICT (Inner Circle Trader) and Smart Money Concepts (SMC) trading. By detecting significant shifts in price action, the script provides visual cues and alerts to help traders spot potential trend changes and continuation patterns.
How the Script Works
1. Identifying Swing Highs & Lows
The script detects swing highs and swing lows based on a pivot strength setting (default: 3).
A swing high forms when a candle’s high is higher than the highs of a set number of candles on both sides.
A swing low forms when a candle’s low is lower than the lows of the surrounding candles.
2. Market Structure Shift (MSS) Detection
A bullish MSS occurs when price closes above the most recent swing high after previously being in a bearish trend.
A bearish MSS occurs when price closes below the most recent swing low after being in a bullish trend.
This signals a potential trend reversal and is often a key area for liquidity grabs and smart money entry points.
3. Break of Structure (BOS) Detection (Optional - Can be enabled/disabled in settings)
A BOS is detected when price continues in the direction of the trend, confirming a structural break rather than a shift.
Bullish BOS: Price breaks a swing high but does not reverse (confirms trend continuation).
Bearish BOS: Price breaks a swing low but continues downward.
BOS levels help traders confirm trend strength and potential trade continuation setups.
4. Drawing Structure Lines & Labels
The script plots horizontal lines at the detected MSS and BOS levels.
Labels such as "MSS" or "BOS" appear at the breakout points.
Traders can customize the line style, color, and text size for better visibility.
5. Alert System for MSS & BOS
The script includes alert conditions that notify traders when an MSS or BOS occurs.
Alerts can be set for:
Any MSS / Any BOS
Bullish MSS / Bullish BOS
Bearish MSS / Bearish BOS
Settings You Can Change
The script allows for full customization through the following input parameters:
Pivot Strength (pivot_strength)
Default: 4
Adjusts how many candles must be considered to form a valid swing high or low.
Higher values result in stronger structure points, while lower values detect short-term movements.
Color Settings
Highs Color (highs) → Default: Blue (for bullish structure)
Lows Color (lows) → Default: Red (for bearish structure)
Toggle Display Options
Show BOS (show_bos) → Enables/disables BOS detection.
Show MSS (show_mss) → Enables/disables MSS detection.
Line & Label Customization
BOS Line Style (bos_style) → Options: Solid, Dashed, Dotted
MSS Line Style (mss_style) → Options: Solid, Dashed, Dotted
BOS & MSS Line Width → Adjustable from 1 to 4 pixels
BOS & MSS Text Size → Options: Tiny, Small, Normal, Large, Huge
BOS & MSS Text Position → Options: Left, Center, Right
Why This Script is Useful
✔ Detects Key Market Structure Changes
MSS and BOS are critical for identifying trend reversals and trend continuations.
Helps traders avoid false breakouts by distinguishing between structural shifts and simple breakouts.
✔ Enhances Smart Money Trading Strategies
MSS often aligns with liquidity grabs before price reverses.
BOS confirms continuation trades in strong trends.
Works well with Fair Value Gaps (FVGs), Order Blocks (OBs), and Liquidity Zones.
✔ Customizable Alerts & Visuals
Traders can enable alerts for MSS and BOS to receive notifications when price shifts.
Adjustable styling ensures clarity across different trading setups.
✔ Works on Any Asset & Timeframe
Suitable for Forex, Crypto, Stocks, and Indices.
Can be used on lower timeframes (scalping) or higher timeframes (swing trading).
How to Use the Market Structure Shift Concept in Trading
1️⃣ Identify Market Conditions
Apply the script and check if price is forming Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), or Lower Lows (LL).
Determine if the market is trending or ranging.
2️⃣ Watch for MSS (Reversal Signals)
Bullish MSS: Price closes above a key swing high → potential bullish reversal.
Bearish MSS: Price closes below a swing low → potential bearish reversal.
3️⃣ Confirm BOS (Trend Continuation Signals)
Bullish BOS: Price continues breaking highs, confirming an uptrend.
Bearish BOS: Price continues breaking lows, confirming a downtrend.
4️⃣ Combine with Other ICT & SMC Concepts
Look for Order Blocks (OBs) and Fair Value Gaps (FVGs) near MSS/BOS levels for better trade entries.
Wait for liquidity grabs before entering trades (avoid stop hunts).
Use higher timeframe MSS/BOS zones as key support & resistance areas.
Final Thoughts
This script is a must-have tool for traders using ICT & SMC trading strategies. It helps identify trend shifts, liquidity grabs, and continuation moves by marking Market Structure Shifts (MSS) and Breaks of Structure (BOS) on the chart.
[TehThomas] - ICT Premium & Discount - ICT Premium & Discount: Script Overview
This TradingView script is designed to visualize the ICT (Inner Circle Trader) Premium & Discount Concept by dynamically identifying the key price zones within a specified lookback period. It highlights the Premium Zone, Discount Zone, and Equilibrium Level, helping traders assess where price is trading in relation to historical highs and lows.
How the Script Works
1. Lookback Period Calculation
The script scans the last X bars (user-defined lookback period) to find the highest high and lowest low during that time.
This helps establish a reference range for determining whether the current price is trading in a premium (overbought) or discount (oversold) area.
2. Equilibrium Level
The equilibrium is simply the midpoint between the highest high and the lowest low within the lookback period.
This level serves as a fair value price where price often reacts or consolidates.
3. Drawing the Premium & Discount Zones
The script creates two distinct zones:
Premium Zone (above equilibrium): Price is considered expensive.
Discount Zone (below equilibrium): Price is considered cheap.
These zones are displayed using colored boxes (red for premium, green for discount).
4. Equilibrium Line & Labels
A dashed equilibrium line is plotted at the midpoint to give a visual reference.
Labels for Premium, Discount, and Equilibrium are added to help traders quickly identify these levels.
Settings You Can Change
The script includes multiple input parameters that allow customization:
1. Lookback Period (lookback)
Default: 50 bars
Defines how many past candles to analyze for the highest high and lowest low.
A larger lookback provides a broader market structure, while a smaller one captures short-term moves.
Premium Zone Color (premium_color)
Default: Red (80% transparency)
You can modify this to change how the premium zone appears on the chart.
Discount Zone Color (discount_color)
Default: Green (80% transparency)
Allows customization of the discount zone’s color.
Extend Boxes Right (extend_right)
Default: 15 bars
Defines how far the premium and discount boxes extend into the future for better visibility.
Why This Script is Useful
Identifies High-Probability Trade Zones.
Traders can use the Premium & Discount zones to find optimal trade entries based on ICT concepts.
Buy in the Discount Zone and sell in the Premium Zone when confluence aligns.
Enhances Smart Money Concepts (SMC) Trading
ICT traders look for liquidity sweeps, fair value gaps, and order blocks.
Combining these with premium & discount levels increases trade accuracy.
Works on Any Timeframe & Asset
The script is effective across forex, crypto, stocks, and indices on multiple timeframes.
How to Use the ICT Premium & Discount Concept in Trading
Find the Range
Apply the script to your chart and check the premium and discount levels.
Ensure you are using a relevant lookback period (e.g., 50 bars for intraday, 100+ for higher timeframes).
Wait for Price to Enter a Key Zone
Long Trades: Look for bullish confirmations (e.g., liquidity grabs, order blocks) in the Discount Zone.
Short Trades: Seek bearish setups in the Premium Zone where price is expensive.
Use the Equilibrium as a Reaction Zone
Price often bounces off or retests equilibrium before making a directional move.
Consider it as a dynamic support/resistance level.
Combine with Other ICT Concepts
Fair Value Gaps (FVGs): Look for price inefficiencies inside premium/discount zones.
Liquidity Sweeps: Watch for stop hunts and false breakouts before entering trades.
Order Blocks (OBs): Use smart money footprints to refine your entries.
Final Thoughts
This script is a powerful tool for ICT traders looking to refine their premium & discount analysis. By visually separating the market into premium (overbought) and discount (oversold) zones, traders can make more informed, high-probability trading decisions.
