EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
圖表形態
Fibonacci Retracement/ExtensionThis Pine Script code implements Fibonacci retracement and extension levels based on a ZigZag pattern. Below is a breakdown of its functionality:
Overview
The script calculates Fibonacci retracement and extension levels by identifying swing highs and swing lows using the ZigZag algorithm. It then plots these levels on the chart for trend analysis.
1. ZigZag Length Input
Defines the ZigZag length, which determines the sensitivity of peak and trough identification.
2. Fibonacci Retracement Calculation
Computes Fibonacci retracement levels using swing highs and lows.
Uses pre-defined Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
Adjusts line positions dynamically as the trend evolves.
3. Fibonacci Extension Calculation
Identifies Fibonacci extension levels for future price targets.
Uses previous ZigZag patterns to estimate potential price movements.
4. Trend and Fibonacci Configuration
Allows the user to configure Fibonacci trend analysis.
TrendSw: Sets the trend direction (1 = Bullish, -1 = Bearish, 0 = None).
ZigZagleg: Determines the countback value for retracement calculations.
Percentage Retracement from ATH█ OVERVIEW
The Percentage Retracement from ATH indicator is a dynamic trading utility designed to help traders gauge market pullbacks from the peak price. By calculating key retracement levels based on the All-Time High (ATH) and user‑defined percentage inputs, it offers clear visual cues to assist in identifying potential support and resistance zones.
█ KEY FEATURES
Custom Date — Use a custom start date so the indicator only considers specified price action.
Retracement Calculation — Determines ATH and calculates levels based on user‑defined percentages (0% to –100%).
Visual Customisation — Plots configurable horizontal lines and labels showing retracement percentages and prices.
Time Filtering — Uses time filtering to base levels on the desired data period.
█ PURPOSE
Assist traders in visualising the depth of price retracements from recent or historical peaks.
Identify critical zones where the market may find support or resistance after reaching an ATH.
Facilitate more informed entry and exit decisions by clearly demarcating retracement levels on the chart.
█ IDEAL USERS
Swing Traders — Looking to exploit pullbacks following strong upward moves.
Technical Analysts — Interested in pinpointing key retracement levels as potential reversal or continuation points.
Price Action Traders — Focused on the nuances of market peaks and subsequent corrections.
Strategy Developers — Keen to backtest and refine approaches centred on retracement dynamics.
First 9:15-9:20 Candle Levels (Daily)This indicator captures the closing price of the first 5-minute candle (9:15 - 9:20 AM) every trading day. It then calculates 0.09% above and below this closing price and plots horizontal lines. The indicator resets daily at 9:15 AM, ensuring it always tracks the latest market open. After 9:20 AM, the calculated levels remain visible throughout the day. The upper level is displayed in green, while the lower level is in red. This tool helps traders identify key price levels early in the session, useful for setting stop-losses, take-profit zones, or identifying potential breakout points.
Daily COC Strategy with SHERLOCK WAVESThis indicator implements a unique trading strategy known as the "Daily COC (Candle Over Candle) Strategy" enhanced with "SHERLOCK WAVES" for pattern recognition. It's designed for traders looking to capitalize on specific candlestick formations with a negative risk-reward ratio, with the aim of achieving a high win rate (over 70%) through numerous trading opportunities, despite each trade having a higher risk relative to the reward.
Key Features:
Pattern Recognition: Identifies a setup based on three consecutive candles - a red candle followed by a shooting star, then an entry candle that does not break below the shooting star's low.
Negative Risk/Reward Trade Selection: Focuses on entries where the potential stop loss is greater than the take profit, banking on a high win rate to offset the individual trade's negative risk-reward ratio.
Visual Signals:
Green Label: Marks potential entry points at the high of the candle before the entry.
Green Dot: Indicates a winning trade closure.
Red Dot: Signals a losing trade closure.
Blue Circle: Warns when the current candle is within 2% of breaking above the previous candle's high, suggesting a potential setup is developing.
Green Circle: Plots the take profit level.
Red Circle: Plots the stop loss level.
Dynamic Statistics: A live updating label showing the number of trades, wins, losses, open trades, current account balance, and win percentage.
Customizable Parameters:
Risk % per Trade: Adjust the percentage of your account balance you're willing to risk on each trade.
Initial Account Balance: Set your starting balance for tracking performance.
Start Date for Strategy: Define when the strategy should start calculating from, allowing for backtesting.
Alerts:
An alert condition is set for when a potential trade setup is developing, helping traders prepare for entries.
Usage Tips:
This strategy is predicated on the idea that a high win rate can compensate for the negative risk-reward ratio of individual trades. It might not suit all market conditions or traders' risk profiles.
Use this strategy in conjunction with other analysis methods to validate trade setups.
Note: Always backtest thoroughly before applying to live markets. Consider this tool as part of a broader trading strategy, not a standalone solution. Monitor your win rate and adjust your risk management accordingly to ensure the strategy remains profitable over time.
This description now correctly explains the purpose behind the negative risk-reward ratio in the context of your trading strategy.
Momentum TheoryMomentum Theory is a mechanical pattern-recognition tool for rapid multi-timeframe analysis. It utilizes higher timeframe breakout levels and peak levels to quickly identify multi-timeframe Swing Points that help in setting a bias, formulating a setup, and executing an entry. It takes advantage of the fractal nature of the market by applying one concept for top-down analysis that scalpers, day traders, and swing traders can use.
✅ Rapid Multi-Timeframe Analysis
✅ Mechanical Pattern-Recognition Used to Filter Setups
✅ For Scalpers, Day Traders, and Swing Traders
--- 📷 INDICATOR GALLERY ---
--- ⚡ ANALYSIS FEATURES ---
✔ Multi-Timeframe Map
Displays breakout levels, peak levels, bar flow, and swing points of higher timeframes. Read how the market is moving with a quick glance.
✔ Bar Flow
Displays whether the previous higher timeframe bar closed in breakout, fakeout, inside, or outside. Aids to quickly read market flow.
There are 4 Bar Types: Breakout , Fakeout , Inside , Outside
✔ Momentum Cycles
Displays which part of the Momentum Cycle the timeframe is currently in to anticipate future movement.
Read more information below at Momentum Theory Concept
✔ Quick Analysis
Calculates a percentage bias based on the position of the higher timeframes to set an overall bias. Great for when trying to narrow down a large watchlist to a few pairs.
✔ Market Snapshots
Takes a snapshot of the entire market on all valid trigger bars for future review. Tracks Quick Analysis, Momentum Cycles, and Bar Flow at that exact point in time.
Limited to the last 150 entry bars. Use TradingView Bar Replay to access more history.
--- ⛰️ LEVELS FEATURES ---
✔ Breakout Bias
Shows the location of all the higher timeframe breakout levels and if price is currently bullish or bearish. Breakout bias shows the overall bias of the timeframe.
✔ Peak Bias
Shows which peak level has been triggered of the higher timeframe and if price closed above or below it. Peak bias shows the current momentum of the timeframe.
✔ Trigger Bars
Displays when the lower and middle timeframes are moving in alignment. Spot when the lower timeframes are starting to move together.
⚠️ Trigger bars are an indication of breakout bias alignment at the lowest timeframes. They are NOT signals to be taken blindly without further analysis.
✔ Automatic Range Detection
Detects if the current and higher timeframe is in a range and plots those levels on the chart.
Ranges are created when the following 3 bar scenarios occur:
Inside Bar - Peaks of current bar closed inside previous bar's peaks
Outside Bar - Peaks of current bar are outside previous bar's peaks, but closed inside.
Mirrored Fakeout Bars - 2 opposite facing fakeout bars in a row
✔ Key Levels Highlights
Highlights the relevant levels for each timeframe and if current price is above or below them.
✔ Visual Elements
Highlights key elements like breakout level flips, fakeout bars, intraday session trading times, off session times, and higher timeframe swing points.
--- 🔥 OTHER FEATURES ---
✔ Built-In Alerts
Multiple built-in alert types to notify you of significant events in the market.
✔ Dark and Light Modes
Adjustable theme colors to trade your chart the way you want.
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. No initial settings to configure. Just add it to your chart and start trading!
H4 - Monthly Setups / Weekly Momentum
H1 -Weekly Setups / Daily Momentum
M15 - Daily Setups / H8 Momentum
M5 -H8 Setups / H2 Momentum
M3 - H4 Setups / H1 Momentum
M1 - H1 Setups / M15 Momentum
--- 💡 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. Identify your own patterns or use the suggested ones below. Watch the Live Trading Examples to see how these patterns are used.
✔ Range Setups
✔ Continuation Setups
✔ Reversal Setups
--- 🧩 EXTENDING MOMENTUM THEORY ---
If the best trade setups are found at swing points, then that must mean that every trading strategy that's worth learning must have some type of method to identify that specific move. Since Momentum Theory specializes in identifying the swing point, it can easily fit into most trading strategies by removing discretion and inserting a mechanical process to filter your existing strategy's setups. By using only non-negotiable levels such as Previous Day High / Low, you can convert most discretionary patterns into mechanical ones to hopefully help increase your consistency. My hope is that you can build your own library of mechanical setups that are specific to your strategy that go beyond the ones that I've provided.
--- 📝 HOW TO USE ---
⚠ Click on "Indicators > Invite-Only > Momentum Theory" to add it to your charts.
1) Determine directional bias on the higher timeframe chart.
2) Identify the cycle and setup pattern on the middle timeframe chart and wait for the momentum timeframe to be triggered.
3) Execute entries when the lower timeframes are aligned. Market is fractal and you can pick whatever timeframe you want for entry. Trade as simple or complex as you want.
⚠️ Trigger bars are an indication of breakout bias alignment at the lowest timeframes. They are NOT signals to be taken blindly without further analysis.
--- 🎞️ LIVE TRADING EXAMPLES ---
Market Analysis with Momentum Theory
Day Trading with Mechanical Setups (using Momentum Theory Scanner)
Momentum Theory Scalping Concepts - Asia Session - GOLD
RoGr75 - EMA Cross Signal with Buffer and Variable Distance**Overview**:
This script is designed to identify potential buy and sell signals based on the crossover of two Exponential Moving Averages (EMAs) – a short-term EMA (default: 8 periods) and a long-term EMA (default: 50 periods). To reduce noise and false signals, the script incorporates a customizable buffer percentage, ensuring that signals are only generated when the short-term EMA moves significantly above or below the long-term EMA. Additionally, the script allows users to adjust the distance of the signals from the candles using the Average True Range (ATR) for better visualization.
---
Improvements: Added Buffer Percentage for reduced noise in Signals
### **Key Features**:
1. **EMA Crossover Signals**:
Buy Signal: Generated when the short-term EMA crosses above the long-term EMA.
Sell Signal: Generated when the short-term EMA crosses below the long-term EMA.
2. **Buffer Percentage**:
A user-defined buffer percentage ensures that signals are only triggered when the short-term EMA moves a specified percentage above or below the long-term EMA, reducing false signals.
3. **Customizable Signal Distance**:
Signals are plotted at a user-defined distance from the candles, calculated using the ATR (Average True Range) for dynamic positioning.
4. **Visual Enhancements**:
Buy and sell signals are displayed as labels above or below the candles, with optional background highlighting for better visibility.
5. **Flexible Inputs**:
Users can customize the lengths of the short-term and long-term EMAs, the ATR period, the signal distance multiplier, and the buffer percentage.
6. **Alerts**:
Built-in alert conditions allow users to receive real-time notifications for buy and sell signals.
### **Input Parameters**:
**Short EMA Length**: Period for the short-term EMA (default: 8).
**Long EMA Length**: Period for the long-term EMA (default: 50).
**Signal Distance**: Multiplier for ATR to determine the distance of signals from the candles (default: 2.0).
**ATR Length**: Period for the ATR calculation (default: 14).
**Buffer Percentage**: Percentage buffer for reversal signals to reduce noise (default: 1.0%).
### **Ideal For**:
Traders who use EMA crossovers as part of their strategy.
Those looking to reduce false signals with a buffer mechanism.
Users who prefer dynamic signal positioning based on market volatility (ATR).
### **Notes**:
The buffer percentage ensures that signals are only generated when the price moves significantly, making it suitable for trend-following strategies.
The script is highly customizable, allowing traders to adapt it to different timeframes and instruments.
Micha Stocks Custom WatermarkThis Pine Script v5 indicator adds a customizable watermark to TradingView charts, displaying key stock information while allowing for flexible positioning and formatting.
📌 Features & Functionality:
✅ Custom Positioning:
• Fixed to the top-left corner.
• Adjustable spacing ensures the text is properly aligned.
✅ Displayed Information (Configurable):
• Company Name & Market Cap (Optional: Shows dynamically calculated market cap)
• Stock Ticker & Timeframe
• Industry & Sector
✅ Customization Options:
• Font Size: Huge, Large, Normal, Small
• Text Color & Transparency: Adjustable
• Proper Left Alignment for a clean, structured display
• Vertical Offset Tweaks to move text down for better visibility
✅ Optimized Table Layout:
• Uses table.new() for persistent placement.
• Added an empty row to fine-tune positioning, ensuring the watermark doesn’t overlap key chart areas.
🔧 Use Case:
Designed for traders who want a clear, customizable stock watermark to enhance their charting experience without obstructing price action.
Support and Resistancelookback: This input allows you to specify the number of bars to look back to calculate the support and resistance levels.
support: This is calculated as the lowest low over the specified lookback period.
resistance: This is calculated as the highest high over the specified lookback period.
plot: The support and resistance levels are plotted on the chart with different colors.
bgcolor: This optional feature highlights the support and resistance zones with a semi-transparent background color.
RoGr75 - EMA 50/8 Cross With Buy/Sell Signals RoGr75 - EMA 50/8 Cross With Buy/Sell Signals
---
**Overview:**
This script is designed to generate **Buy** and **Sell** signals based on the crossover and crossunder of two Exponential Moving Averages (EMAs): **EMA 8** (green line) and **EMA 50** (blue line). The signals are plotted at a user-defined distance from the candles, ensuring clear visibility and adaptability to market volatility.
---
**Key Features:**
1. **EMA Cross Signals**:
- A **Buy Signal** is generated when the **EMA 8** crosses above the **EMA 50**.
- A **Sell Signal** is generated when the **EMA 8** crosses below the **EMA 50**.
2. **Variable Signal Distance**:
- The distance of the Buy and Sell signals from the candles is controlled by a **user-defined input** (`signal_distance`).
- The distance is calculated using the **Average True Range (ATR)** to adapt to market volatility.
3. **Customizable Parameters**:
- `signal_distance`: Adjust the distance of the signals from the candles (default: 2.0).
- ATR period: Fixed at 14 but can be modified in the script.
4. **Visual Enhancements**:
- Buy signals are displayed as green labels below the candles.
- Sell signals are displayed as red labels above the candles.
- Optional background highlighting for Buy and Sell signals.
---
**How It Works:**
- The script calculates the **EMA 8** and **EMA 50** and plots them on the chart.
- When a crossover or crossunder occurs, a label is placed at a distance determined by the formula:
- **Buy Signal Position**: `low - (signal_distance * ATR(14))`
- **Sell Signal Position**: `high + (signal_distance * ATR(14))`
- The signals are clearly visible and adapt to the volatility of the asset.
---
**Input Parameters:**
- `signal_distance` (type: input float): Controls the distance of the Buy and Sell signals from the candles. Default value is `2.0`.
---
**Usage:**
1. Add the script to your chart in TradingView.
2. Adjust the `signal_distance` input to set the desired distance of the signals from the candles.
3. Monitor the Buy and Sell signals generated by the script for potential trading opportunities.
---
**Example:**
- If `signal_distance` is set to `2.0`, the Buy signal will appear **2x ATR** below the candle's low, and the Sell signal will appear **2x ATR** above the candle's high.
---
**Customization:**
- Modify the ATR period or replace it with a fixed value for static distance.
- Adjust the colors, styles, and sizes of the labels and EMAs to suit your preferences.
---
**Ideal For:**
- Traders looking for a simple and effective EMA crossover strategy.
- Users who want customizable signal placement for better visibility.
- Those who prefer volatility-adjusted signal distances.
---
**Note:**
This script is for educational and informational purposes only. Always backtest and validate strategies before using them in live trading.
RSI Crossover dipali parikhThis script generates buy and sell signals based on the crossover of the Relative Strength Index (RSI) and the RSI-based Exponential Moving Average (EMA). It also includes an additional condition for both buy and sell signals that the RSI-based EMA must be either above or below 50.
Key Features:
Buy Signal: Triggered when:
The RSI crosses above the RSI-based EMA.
The RSI-based EMA is above 50.
A green "BUY" label will appear below the bar when the buy condition is met.
Sell Signal: Triggered when:
The RSI crosses below the RSI-based EMA.
The RSI-based EMA is below 50.
A red "SELL" label will appear above the bar when the sell condition is met.
Customizable Inputs:
RSI Length: Adjust the period for calculating the RSI (default is 14).
RSI-based EMA Length: Adjust the period for calculating the RSI-based EMA (default is 9).
RSI Threshold: Adjust the threshold (default is 50) for when the RSI-based EMA must be above or below.
Visuals:
The RSI is plotted as a blue line.
The RSI-based EMA is plotted as an orange line.
Buy and sell signals are indicated by green "BUY" and red "SELL" labels.
Alerts:
Alerts can be set for both buy and sell conditions to notify you when either condition is met.
How to Use:
Use this script to identify potential buy and sell opportunities based on the behavior of the RSI relative to its EMA.
The buy condition indicates when the RSI is strengthening above its EMA, and the sell condition signals when the RSI is weakening below its EMA.
Strategy Use:
Ideal for traders looking to leverage RSI momentum for entering and exiting positions.
The RSI-based EMA filter helps smooth out price fluctuations, focusing on stronger signals.
This script is designed for both discretionary and algorithmic traders, offering a simple yet effective method for spotting trend reversals and continuation opportunities using RSI.
Overnight vs Intra-day Performance█ STRATEGY OVERVIEW
The "Overnight vs Intra-day Performance" indicator quantifies price behaviour differences between trading hours and overnight periods. It calculates cumulative returns, compound growth rates, and visualizes performance components across user-defined time windows. Designed for analytical use, it helps identify whether returns are primarily generated during market hours or overnight sessions.
█ USAGE
Use this indicator on Stocks and ETFs to visualise and compare intra-day vs overnight performance
█ KEY FEATURES
Return Segmentation : Separates total returns into overnight (close-to-open) and intraday (open-to-close) components
Growth Tracking : Shows simple cumulative returns and compound annual growth rates (CAGR)
█ VISUALIZATION SYSTEM
1. Time-Series
Overnight Returns (Red)
Intraday Returns (Blue)
Total Returns (White)
2. Summary Table
Displays CAGR
3. Price Chart Labels
Floating annotations showing absolute returns and CAGR
Color-coded to match plot series
█ PURPOSE
Quantify market behaviour disparities between active trading sessions and overnight positioning
Provide institutional-grade attribution analysis for returns generation
Enable tactical adjustment of trading schedules based on historical performance patterns
Serve as foundational research for session-specific trading strategies
█ IDEAL USERS
1. Portfolio Managers
Analyse overnight risk exposure across holdings
Optimize execution timing based on return distributions
2. Quantitative Researchers
Study market microstructure through time-segmented returns
Develop alpha models leveraging session-specific anomalies
3. Market Microstructure Analysts
Identify liquidity patterns in overnight vs daytime sessions
Research ETF premium/discount mechanics
4. Day Traders
Align trading hours with highest probability return windows
Avoid overnight gaps through informed position sizing
Parabolic Detector (10min, 75°)Объяснение :
Таймфрейм 10 минут:
Используется функция request.security для получения цены закрытия за последние 10 минут.
Таймфрейм задается через input.timeframe("10", ...).
Расчет угла наклона:
Изменение цены (price_change) рассчитывается как разница между текущей ценой закрытия и ценой закрытия 10 минут назад.
Угол наклона (angle) рассчитывается с использованием функции math.atan (арктангенс). Учитывается, что 10 минут = 600 секунд.
Пороговое значение 75 градусов:
Если абсолютное значение угла (math.abs(angle)) больше или равно 75 градусам, то движение считается параболическим.
Визуализация:
На графике отображается метка "PARABOLIC", если движение параболическое.
Crodl Market StructureCrodl Market Structure | FVG | MFI | EMA
The Crodl Market Structure indicator is a powerful trading tool designed to help traders identify key price movements, trend direction, and potential liquidity zones. It combines Fair Value Gaps (FVGs), Money Flow Index (MFI) Trend Filters, and Exponential Moving Averages (EMAs) to provide a structured market view.
Features:
Exponential Moving Averages (EMAs) – Trend Confirmation
Tracks EMA 20, EMA 50, and EMA 200 to identify trend direction.
EMAs change color dynamically based on price action.
Helps traders determine uptrends, downtrends, and potential reversals.
Money Flow Index (MFI) – Trend Strength & Exhaustion
Uses MFI to detect overbought (80) and oversold (20) levels.
Confirms trend exhaustion and highlights potential reversals.
Works with EMAs to generate high-confidence entry signals.
Fair Value Gap (FVG) – Liquidity & Price Imbalance
Identifies Fair Value Gaps (price imbalances) based on 3 consecutive bullish or bearish candles.
Marks liquidity zones where price may return for mitigation.
Toggle ON/OFF to show/hide Fair Value Gaps on the chart.
Smart Buy & Sell Signals
🔺 Bullish Entry Signal: Price crosses above EMA 20 after oversold MFI & downtrend.
🔻 Bearish Entry Signal: Price crosses below EMA 20 after overbought MFI & uptrend.
Helps confirm trend continuation or reversal opportunities.
🔹 How to Use:
1️⃣ Trend Analysis – Check EMAs alignment to identify the overall trend.
2️⃣ Momentum Confirmation – Use MFI to spot trend exhaustion before price reverses.
3️⃣ Liquidity Gaps – Watch for Fair Value Gaps (FVGs) to anticipate price retracements.
🔹 Settings:
EMA Settings: Enable/Disable EMAs, adjust lengths (20, 50, 200).
MFI Trend Filter: Enable/Disable trend signals, customize MFI levels.
Fair Value Gaps: Show/Hide FVGs, adjust extension & colors.
Last Candle OHLCThis simple yet powerful TradingView indicator displays the Open, High, Low, and Close (OHLC) values of the last completed candle directly on your chart. Whether you're trading stocks, forex, or crypto, having quick access to the most recent candle's price levels can be crucial for decision-making.
✨ Features:
✅ Shows the Open, High, Low, and Close of the last completed candle
✅ Works on any timeframe and asset
✅ Helps traders spot key price levels for entry, stop-loss, or take-profit decisions
Perfect for price action traders, scalpers, and swing traders! 🚀
LevelUp^ Upside Reversal ScreenerThe Upside Reversal Screener can be helpful to find strength when stocks have been showing weakness or the overall market is down. An upside reversal in a stock occurs when its price, after declining, changes direction and begins to trend upward. This pattern can signify a shift in market sentiment from bearish to bullish.
🔹 Upside Reversal Characteristics
✓ Price goes below prior day/week low then rallies to close with a gain or a minimal loss.
✓ Closing range in the upper half of the day/week.
✓ Ideally, volume shows an increase over the average daily/weekly volume.
🔹 Configurable Settings
✓ Specify the number of lower lows.
✓ Require the price low to be above a configurable moving average.
✓ Require the moving average to be trending up.
✓ Specify price % change.
✓ Specify closing range.
✓ Limit search to specific symbol types, for example, only stocks and no ETFs.
🔹 Pros of an Upside Reversal
An upside reversal can provide an early entry point into a potential new uptrend. The reversal may attract buyers, resulting in sustained upward price momentum. Reversals that follow a prolonged downtrend suggest the end of bearish dominance, which may give way to a longer-term bullish trend.
🔹 Cons of an Upside Reversal
Not all reversals continue their upward trend; some may turn out to be "dead cat bounces" or a short-term retracement before the downtrend resumes. It can also be challenging to know when to enter a trade on a reversal as entering too early might lead to losses if price reverses and the downtrend continues.
🔹 Risk Management
One common approach to risk management is to use a recent low as a stop. Another potential stop would be an area of prior support or consolidation. It often feels counterintuitive to enter a trade when the trend has been downward. Which speaks to why risk management must always be part of your game plan.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
CandelaCharts - ICT Daily Profiles Go (DPG)📝 Overview
The ICT Daily Profiles by CandelaCharts, inspired by ICT teachings, offer a pattern-driven approach to trading by identifying and analyzing the key highs and lows of intraday sessions.
This toolkit automatically highlights these ICT Daily Profiles on your charts, allowing traders to efficiently identify critical zones for analysis and informed decision-making.
Whether you're an experienced trader or just starting out, ICT Daily Profiles deliver actionable frameworks to deepen your understanding of price behavior and enhance your intraday trading performance.
📦 Features
The ICT Daily Profiles toolkit provides a robust suite of features tailored to improve trading accuracy and support informed decision-making. Its key highlights include:
Daily Profiles
Advanced Styling
Scanner
The indicator supports the following profiles:
Session I High Session II Low Bearish
Session I High Session III Low Bearish
Session II High Session III Low Bearish
Session III High Session IV Low Bearish
Session I Low Session II High Bullish
Session I Low Session III High Bullish
Session II Low Session III High Bullish
Session III Low Session IV High Bullish
⚙️ Settings
Sessions: Controls how many sessions you want to see.
History: Controls how many profiles are displayed on the chart.
Timeframe Limit: Sets the timeframe up to which profiles will be drawn.
Show OHLC Lines: Display the lines for OHLC.
Show Profile Line: Display the Daily Profile line.
Use NY Midnight Open: Controls from where a profile will start detection.
Open: Style for Open line.
High: Style for High line.
Low: Style for Low line.
Midline: Style for Profile Midline.
Label: Controls the position of the Daily Profile name.
Scanner: Display the Scanner
⚡️ Showcase
ICT (Inner Circle Trader) daily profile templates are analytical models that classify and outline common price action patterns observed throughout a trading day.
ICT Daily Profiles
Scanner
📒 Usage
The ICT Daily Profiles indicator aims to give traders a clear and actionable view of the Daily Previous, Current, and Future Profiles. This enables them to analyze market structure, predict price movements, and align their trading strategies with higher time-frame trends.
Load the indicator on the chart
Enable Scanner
See the Predicted Profiles list
Predicted Profiles represent all potential scenarios for the current day, generated by a profile detection algorithm.
By visualizing potential outcomes through Predicted Profiles, the ICT Daily Profiles indicator provides traders with a strategic edge, allowing them to remain flexible, prepared, and aligned with the most probable market movements.
🚨 Alerts
The indicator does not provide any alerts!
🔹 Notes
ICT Daily Profiles
pbs.twimg.com
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
[COG]MTF RZP Heatmap MTF RZP Heatmap (Range Zone Pulse)
What It Does
This indicator creates three visual heatmaps that show how current price movement compares to the average range of different timeframes. It helps traders:
Identify when price moves are overextended
Compare momentum across different timeframes
Spot potential reversal points
Understand the relative strength of price movements
How It Works
Range Calculation:
For each selected timeframe, it calculates an average range based on the specified number of periods
The range is measured from high to low for each period
A moving average of these ranges creates a dynamic "normal" range for that timeframe
Position Calculation:
Measures how far price has moved from the period's opening price
Compares this movement to the average range
Converts the movement into a percentage (-100% to +100%)
Visual Display:
Shows three vertical heatmaps, one for each timeframe
Colors graduate from bearish (typically red) to bullish (typically green)
A dot indicator shows the current position within each range
Percentage labels show exact movement relative to average range
Trading Applications
Trend Trading:
Multiple timeframes aligned in the same color suggest strong trend
Use larger timeframes (Daily/Weekly) for trend direction
Use smaller timeframes (4H/1H) for entry timing
Mean Reversion:
Extreme readings (near +100% or -100%) suggest overextended moves
Look for divergences between timeframes
Use when shorter timeframes show extremes but larger timeframes don't
Volatility Trading:
Compare current moves to average ranges
Identify when markets are more volatile than usual
Adjust position sizes based on range expansion/contraction
Multi-Timeframe Analysis:
Compare price action across different time horizons
Identify conflicting signals between timeframes
Use for timeframe alignment in trading decisions
Best Practices for Usage
Timeframe Selection:
Set the first timeframe to your trading timeframe
Set the second timeframe to your trend timeframe
Set the third timeframe to your entry timeframe
Range Period Settings:
Default is 5 periods
Increase for more stable readings
Decrease for more responsive readings
Color Interpretation:
Darker colors indicate stronger moves
Look for alignment across timeframes
Watch for extremes in any timeframe
Trading Setups:
Wait for alignment in multiple timeframes
Use extreme readings for counter-trend trades
Combine with other indicators for confirmation
Star Pattern IdentifierThe Star Pattern Identifier is a custom TradingView indicator designed to detect and mark Morning Star (MS) and Evening Star (ES) candlestick patterns, which are powerful reversal signals. This indicator offers a flexible and customizable approach by incorporating adjustable parameters for both the size and volume of the third candle in the pattern.
Key Features:
Morning Star (MS) : A bullish reversal pattern that occurs after a downtrend.
Evening Star (ES) : A bearish reversal pattern that occurs after an uptrend.
Adjustable Parameters:
Third Candle Size Multiplier : Define how large the body of the third candle should be relative to the second candle (default is 2x).
Third Candle Volume Multiplier : Control the minimum volume of the third candle in relation to the second candle (default is 0.5x).
The script ensures that the third candle’s volume is at least 50% of the second candle's volume and that its body is at least twice the size of the second candle, to filter out weaker signals.
The patterns are marked directly on the chart with "MS" (Morning Star) or "ES" (Evening Star) labels for easy identification.
Practical Use:
Use this indicator to spot potential trend reversals with more confidence by ensuring strong candlestick body and volume conditions.
Customize the parameters to suit your trading strategy and preferences.
How it Works:
The indicator looks for a bearish first candle , followed by a bullish or indecisive second candle , and a bullish third candle for the Morning Star pattern.
For the Evening Star, the indicator looks for a bullish first candle , followed by a bearish or indecisive second candle , and a bearish third candle .
The size and volume of the third candle are checked to ensure it meets the set parameters, confirming the strength of the reversal signal.
This tool is perfect for traders seeking to spot reversal signals in the market.
9-20 EMA Crossover with TP and SL9-20 EMA Crossover: This script tracks the crossover of the 9-period EMA and the 20-period EMA.
When the 9 EMA crosses above the 20 EMA, a buy signal is triggered.
When the 9 EMA crosses below the 20 EMA, a sell signal is triggered.
Take Profit and Stop Loss Levels:
The take profit for a long position is set at 3% above the entry price (close * 1.03).
The stop loss for a long position is set at 1% below the entry price (close * 0.99).
The take profit for a short position is set at 3% below the entry price (close * 0.97).
The stop loss for a short position is set at 1% above the entry price (close * 1.01).
Leverage: The strategy uses 20x leverage for both long and short positions (leverage=20).
Alerts: Alerts are set up for the buy signal when the 9 EMA crosses above the 20 EMA and the sell signal when the 9 EMA crosses below the 20 EMA. These alerts can be used with a webhook to trigger trades on Binance Futures.
Strategy:
For long trades: The strategy enters a long position and sets a take profit at 3% above the entry price and a stop loss at 1% below the entry price.
For short trades: The strategy enters a short position and sets a take profit at 3% below the entry price and a stop loss at 1% above the entry price.
Market Sessions and OverlapsMarket Sessions and Overlaps Indicator
This script, titled " Market Sessions and Overlaps ," provides a detailed visualization of major global trading sessions—Asia, Europe, and New York—along with the periods where these sessions overlap. It is designed to assist traders in understanding session timings and overlaps in their local time zone. Key features include:
Session Visualization: Highlights the Asia, Europe, and New York trading sessions directly on the chart with customizable colors and transparency for better clarity.
Overlap Identification: Marks the overlapping periods between Asia-Europe and Europe-New York sessions, where market activity often intensifies, with distinct candle colors.
Time Zone Support: The script allows users to select their local time zone, ensuring all session times are displayed accurately, no matter the user’s location.
Alerts for Key Events: Includes optional alerts to notify users of session openings, closings, and the start or end of overlap periods.
This indicator serves as a visual tool for tracking session-specific activity and liquidity. It is configurable to match individual preferences, enabling better alignment with trading strategies.
Disclaimer: This script is for informational purposes only and does not provide financial advice. Please consult a licensed financial advisor for personalized trading guidance.
Price Action + Support/Resistance with LabelsEntry Conditions:
Long Entry (BUY): Based on the bullish engulfing pattern and price being above the resistance level.
Short Entry (SELL): For demonstration, the short entry condition is set as price being below the support level and a bullish candle in the previous bar. You can modify this logic for your own use case.
Stop Loss and Take Profit:
Stoploss is plotted at the calculated stop loss level.
Target is plotted at the calculated take profit level.
Labels:
For long trades, labels are added with "BUY", "STOPLOSS", and "TARGET".
For short trades (if enabled), labels are added with "SELL", "STOPLOSS", and "TARGET".
Labels are placed using label.new at specific locations on the chart (above or below bars).
Alert Conditions:
Alerts are created for both long and short entry signals so you can get notified when the entry conditions are met.
How it works:
BUY label will appear below the bar when a long entry condition is met.
SELL label will appear above the bar when a short entry condition is met.
STOPLOSS and TARGET labels will appear at their respective levels when an entry signal is triggered.
The labels will appear on the chart to give you a clear visual cue of the entry, stop loss, and take profit levels.
How to Use:
Copy the script into your Pine Editor on TradingView and apply it to your chart.
Observe the labels that show up on the chart:
"BUY" will appear below the bar when long conditions are met.
"SELL" will appear above the bar when short conditions are met (if using short logic).
"STOPLOSS" will be plotted at the stop loss level.
"TARGET" will be plotted at the take profit level.
Optional Customization:
You can modify the short entry condition based on your preferred method.
You can adjust the length for the support/resistance calculation, the stopLossRR, and other parameters to fine-tune the strategy for Nifty 50 or any other asset.
Let me know if you have any further questions or need additional modifications!
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
