Omar TradingOmar Trading Indicator – Description
The Omar Trading Indicator is a custom-built trading tool designed to identify potential buy signals based on multiple technical analysis factors. This indicator combines several key elements to improve trade accuracy and reliability.
Key Features:
✅ Zero Reversal from the Bottom – Detects price reversals from recent lows.
✅ Liquidity Check – Uses volume analysis to confirm market strength.
✅ MACD Crossover – Identifies bullish momentum when the MACD line crosses above the signal line.
✅ Moving Average Crossover – Confirms trend direction when a fast-moving average crosses a slow-moving average.
✅ Fibonacci Levels – Displays key Fibonacci retracement levels to identify potential support and resistance zones.
How It Works:
• The indicator scans for a zero-level price reversal from recent lows.
• It checks if volume is above the average liquidity level to confirm trade strength.
• A bullish MACD crossover is required to ensure upward momentum.
• A moving average crossover provides additional confirmation.
• Fibonacci retracement levels help traders identify key price zones for entry or exit.
Alerts & Notifications:
• The indicator plots buy signals directly on the chart.
• TradingView alerts can be set up to notify traders when all conditions align.
• Telegram integration allows automatic notifications for trade opportunities.
This tool is ideal for traders looking for a systematic and multi-confirmation approach to identifying potential buy opportunities.
Cycles
EURUSD Swing High/Low ProjectionBikini Bottom custom projection tool. Aimed to project tops and bottoms. Don't use unless you understand how it works :)
Gold Scalping Basic+This script is the "Basic+ Gold Scalping Strategy," specifically designed for scalping XAUUSD on the 5-minute chart. It combines smart indicator filters with price action logic to help traders identify high-probability entries and exits. The strategy is based on market structure, trend bias, and momentum confirmation, making it ideal for short-term traders who want clarity in fast-moving gold markets.
Key Features:
Trend-based entry signals using price action
Indicator filters to avoid false setups
Works best in volatile conditions
Optimized for 5M timeframe
Includes visual signals for buy/sell zones
First EMA Touch (Last N Bars)Okay, here's a description of the "First EMA Touch (Last N Bars)" TradingView indicator:
Indicator Name: First EMA Touch (Last N Bars)
Core Purpose:
This indicator is designed to visually highlight on the chart the exact moment when the price (specifically, the high/low range of a price bar) makes contact with a specified Exponential Moving Average (EMA) for the first time within a defined recent lookback period (e.g., the last 20 bars).
How it Works:
EMA Calculation: It first calculates a standard Exponential Moving Average (EMA) based on the user-defined EMA Length and EMA Source (e.g., close price). This EMA line is plotted on the chart, often serving as a dynamic level of potential support or resistance.
"Touch" Detection: For every price bar, the indicator checks if the bar's range (from its low to its high) overlaps with or crosses the calculated EMA value for that bar. If low <= EMA <= high, it's considered a "touch".
"First Touch" Logic: This is the key feature. The indicator looks back over a specified number of preceding bars (defined by the Lookback Period). If a "touch" occurs on the current bar, and no "touch" occurred on any of the bars within that preceding lookback window, then the current touch is marked as the "first touch".
Visual Signal: When a "first touch" condition is met, the indicator plots a distinct shape (by default, a small green triangle) below the corresponding price bar. This makes it easy to spot these specific events.
Key Components & Settings:
EMA Line: The calculated EMA itself is plotted (typically as an orange line) for visual reference.
First Touch Signal: A shape (e.g., green triangle) appears below bars meeting the "first touch" criteria.
EMA Length (Input): Determines the period used for the EMA calculation. Shorter lengths make the EMA more reactive to recent price changes; longer lengths make it smoother and slower.
Lookback Period (Input): Defines how many bars (including the current one) the indicator checks backwards to determine if the current touch is the first one. A lookback of 20 means it checks if there was a touch in the previous 19 bars before signalling the current one as the first.
EMA Source (Input): Specifies which price point (close, open, high, low, hl2, etc.) is used to calculate the EMA.
Interpretation & Potential Uses:
Identifying Re-tests: The signal highlights when price returns to test the EMA after having stayed away from it for the duration of the lookback period. This can be significant as the market re-evaluates the EMA level.
Potential Reversal/Continuation Points: A first touch might indicate:
A potential area where a trend might resume after a pullback (if price bounces off the EMA).
A potential area where a reversal might begin (if price strongly rejects the EMA).
A point of interest if price consolidates around the EMA after the first touch.
Filtering Noise: By focusing only on the first touch within a period, it can help filter out repeated touches that might occur during choppy or consolidating price action around the EMA.
Confluence: Traders might use this signal in conjunction with other forms of analysis (e.g., horizontal support/resistance, trendlines, candlestick patterns, other indicators) to strengthen trade setups.
Limitations:
Lagging: Like all moving averages, the EMA is a lagging indicator.
Not Predictive: The signal indicates a specific past event (the first touch) occurred; it doesn't guarantee a future price movement.
Parameter Dependent: The effectiveness and frequency of signals heavily depend on the chosen EMA Length and Lookback Period. These may need tuning for different assets and timeframes.
Requires Confirmation: It's generally recommended to use this indicator as part of a broader trading strategy and not rely solely on its signals for trade decisions.
In essence, the "First EMA Touch (Last N Bars)" indicator provides a specific, refined signal related to price interaction with a moving average, helping traders focus on potentially significant initial tests of the EMA after a period of separation.
Eclipse Dates IndicatorThis TradingView indicator displays vertical lines on eclipse dates from 1980 to 2030, with comprehensive filtering options for different types of eclipses.
Features
Date Range: Covers 221 eclipse events from 1980 to 2030
Eclipse Types: Filter by Solar and/or Lunar eclipses
Eclipse Subtypes: Filter by Total, Partial, Annular, Penumbral, and Hybrid eclipses
Year Range Selection: Focus on specific decades (1980-1990, 1990-2000, etc.)
Visual Customization: Separate styling for Solar and Lunar eclipses
Line Appearance: Customize color, style, and width
Label Options: Show/hide labels with customizable appearance
Eclipse Types
Show Solar Eclipses: Toggle visibility of Solar eclipses
Show Lunar Eclipses: Toggle visibility of Lunar eclipses
Eclipse Subtypes
Show Total Eclipses: Toggle visibility of Total eclipses
Show Partial Eclipses: Toggle visibility of Partial eclipses
Show Annular Eclipses: Toggle visibility of Annular eclipses
Show Penumbral Eclipses: Toggle visibility of Penumbral eclipses
Show Hybrid Eclipses: Toggle visibility of Hybrid eclipses
Visual Settings
Solar/Lunar Eclipse Line Color: Set the color for eclipse lines
Solar/Lunar Eclipse Line Style: Choose between solid, dashed, or dotted lines
Solar/Lunar Eclipse Line Width: Set the width of eclipse lines
Solar/Lunar Label Text Color: Set the color for label text
Solar/Lunar Label Background Color: Set the background color for labels
General Settings
Show Eclipse Labels: Toggle visibility of eclipse labels
Label Size: Choose between tiny, small, normal, or large labels
Extend Lines to Chart Borders: Toggle whether lines extend to chart borders
Year Range: Filter eclipses by decade (1980-1990, 1990-2000, etc.)
Usage Tips
For optimal visualization, use daily or weekly timeframes
When analyzing specific periods, use the Year Range filter
To focus on specific eclipse types, use the type and subtype filters
For cleaner charts, you can hide labels and only show lines
Customize colors to match your chart theme
Data Source
Eclipse data is sourced from NASA's Five Millennium Catalog of Solar Eclipses and includes both solar and lunar eclipses from 1980 to 2030.
Renko Flip MarkerThis script shows on chart where Renko bricks flip for candlestick chart. I intended it for candlestick chart, but it seems to work Renko chart too from my testing so far. You may change the Renko size for your own scenario you're trading. Hopefully helps, Thank you.
Vertical Lines Every 30 MinShows a vertical Line every 30 minutes
The Line is pink
Not much more to it
SCE GANN PredictionsThis is a script designed to give an insight on price direction from being above or below a GANN Value.
What Are GANN Waves?
The SCE GANN Predictions indicator is inspired by the work of W.D. Gann, a renowned trader who believed that price movements follow geometric and mathematical patterns. GANN waves use past price behavior—specifically momentum or "velocity"—to forecast where prices might head next.
How Does the Indicator Work?
Calculating Velocity
The script starts by measuring the "velocity" of price movement over a user-defined lookback period (denoted as n). This velocity is the average difference between the close and open prices over n bars. Think of it as the market’s speed in a given direction.
Predicting the Future Price
Using this velocity, the indicator estimates a future price after a specific time horizon—calculated as n + n*2 bars into the future (e.g., if n = 15, it predicts 45 bars ahead). It scales the velocity by a ratio (Gr) to determine the "end price." This is the raw GANN prediction.
Optimizing the Ratio (Gr)
The key to a good prediction is finding the right Gr. The script tests a range of Gr values (from Gr_min to Gr_max, stepping by Gr_step) and evaluates each one by calculating the sum of squared errors (SSE) between the predicted prices and the actual historical close prices. The Gr with the lowest SSE is deemed "optimal" and used for the final prediction.
Smoothing with an SMA
The raw GANN prediction is then smoothed using a simple moving average (SMA) over the lookback period (n). This SMA is plotted on your chart, serving as a dynamic trend line. The plot’s color changes based on the current price: teal if the close is above the SMA (bullish), and red if below (bearish).
Visuals
This example shows how the value explains price strength and changes color. When the price is above the line, and it’s green, we’re showing an up trend. The opposite is when the price is below the line, and it’s red, showing a down trend.
We can see that there may be moments where price drops under the value for just that one bar.
In scenarios with sideways price action, even though the price crosses, there is no follow through. This is a shortcoming of the overall concept.
Customizable Inputs
Timeframe: Choose the timeframe for analysis (default is 2 minutes).
Show GANN Wave: Toggle the GANN SMA plot on or off (default is true).
Lookback Period (Gn): Set the number of bars for velocity and SMA calculations (default is 15).
Min Ratio (Gr_min): The lower bound for the Gr optimization (default is 0.05).
Max Ratio (Gr_max): The upper bound for Gr (default is 0.2).
Step for Gr (Gr_step): The increment for testing Gr values (default is 0.01).
How to Use SCE GANN Predictions
Trend Direction
The colored SMA provides a quick visual cue. Teal suggests an uptrend, while red hints at a downtrend. Use this to align your trades with the broader momentum.
Crossover Signals
Watch for the close price crossing the GANN SMA. A move above could signal a buy opportunity, while a drop below might indicate a sell. Combine this with other indicators for confirmation.
Fine-Tuning
Experiment with the lookback period (Gn) and Gr range to optimize for your market. Shorter lookbacks might suit fast-moving assets, while longer ones could work for slower trends.
Like any technical tool, SCE GANN Predictions isn’t a crystal ball. It’s based on historical data and mathematical assumptions, so it won’t always be spot-on.
Cycle Biologique Strategy // (\_/)
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//@fr33domz
Experimental Research: Cycle Biologique Strategy
Overview
The "Cycle Biologique Strategy" is an experimental trading algorithm designed to leverage periodic cycles in price movements by utilizing a sinusoidal function. This strategy aims to identify potential buy and sell signals based on the behavior of a custom-defined biological cycle.
Key Parameters
Cycle Length: This parameter defines the duration of the cycle, set by default to 30 periods. The user can adjust this value to optimize the strategy for different asset classes or market conditions.
Amplitude: The amplitude of the cycle influences the scale of the sinusoidal wave, allowing for customization in the sensitivity of buy and sell signals.
Offset: The offset parameter introduces phase shifts to the cycle, adjustable within a range of -360 to 360 degrees. This flexibility allows the strategy to align with various market rhythms.
Methodology
The core of the strategy lies in the calculation of a periodic cycle using a sinusoidal function.
Trading Signals
Buy Signal: A buy signal is generated when the cycle value crosses above zero, indicating a potential upward momentum.
Sell Signal: Conversely, a sell signal is triggered when the cycle value crosses below zero, suggesting a potential downtrend.
Execution
The strategy executes trades based on these signals:
Upon receiving a buy signal, the algorithm enters a long position.
When a sell signal occurs, the strategy closes the long position.
Visualization
To enhance user experience, the periodic cycle is plotted visually on the chart in blue, allowing traders to observe the cyclical nature of the strategy and its alignment with market movements.
Cyclical Momentum Pivots V2Cyclical Momentum Pivots V2 /b]
Overview
Welcome to Cyclical Momentum Pivots V2—a next-generation momentum indicator engineered to surpass traditional tools like MACD and standard cRSI with its dynamic adaptability and cutting-edge cycle analysis. Optimized for volatile assets like XRP on a 2-hour (2H) timeframe, this indicator leverages advanced Hurst cycle integration and a dual-signal system (intent and confirmation) to pinpoint momentum shifts with unparalleled accuracy. Below, we’ll explore its operation using a 2H XRP chart as a live example, showcasing why it’s a game-changer for crypto trading and beyond.
Key Features & Benefits
a) Dynamic Nature for Superior Accuracy
Unlike static indicators like MACD or traditional cRSI, Cyclical Momentum Pivots V2 dynamically adjusts its cycle length based on real-time price action. On a 2H XRP chart, the dominant cycle length (domCycle) adapts between 10 and 30 bars, reflecting XRP’s rapid momentum shifts. This fluidity ensures signals align with the market’s current rhythm—far more precise than MACD’s fixed periods or cRSI’s rigid lookbacks.
b) Hurst Cycles for Enhanced Precision
The indicator incorporates Hurst exponent analysis, a powerful tool for identifying cyclical patterns in price data. On XRP 2H, Hurst cycles refine momentum signals by filtering noise, ensuring trend changes—like those in early March 2025—align with underlying market rhythms. This precision catches reversals that simpler indicators miss, giving traders a deeper edge.
c) Intent and Confirmation Signals Explained
The dual-signal system is a standout feature:
Intent Signals: Appear instantly at crossover points as early warnings. On XRP 2H, a solid turquoise upward marker (#82D5F6) below the bar signals a potential low band crossover (bullish), while a solid yellow downward marker (#FFFF00) above flags a high band crossover (bearish). For example, on March 19th, 2025, a yellow intent signal hinted at a top-band crossunder.
Confirmation Signals: Follow one bar later if cRSI moves >3%, locking in the trend. Larger solid turquoise or yellow markers confirm the move—see March 25th, 2025, where a confirmed yellow signal validated a bearish shift. Additionally, 50% band crossovers (mid-range pivots) use semi-transparent markers (55% transparency) for nuanced momentum insights.
d) Cycle Changes as Bear/Bull Indicators
Cycle length shifts (domCycle) reveal market regimes. On XRP 2H, an increase (green circle with white number below the bar) signals lengthening cycles, often tied to bullish consolidation—check the buildup before March’s rally. A decrease (red circle above) indicates shortening cycles, typical of bearish exhaustion—visible post-March 25th downturn. These shifts guide your bias in real time.
e) Multiple Signals in Close Proximity
When signals cluster, they amplify confidence. On XRP 2H around mid-March 2025, a flurry of intent signals, confirmed crossovers, and a domCycle decrease within a few bars screamed bearish momentum—confirmed by XRP’s drop. This convergence, paired with whale-driven pumps (dark green flags) or dumps (dark red flags), is your cue to trust the trend.
f) Crypto-Optimized Design with Multi-Asset Flexibility
Built for cryptocurrencies like XRP, the indicator thrives in high-volatility environments. Its default settings are tuned for 2H crypto charts, balancing responsiveness and stability. However, it adapts to stocks, forex, and commodities via customizable inputs—see the table below for tailored values.
Input Values for Different Timeframes (Crypto-Optimized) www.dropbox.com
Customizing Inputs for Asset Classes
The Inputs tab offers flexibility:
Use Auto Dominant Cycle Length: Default true for crypto’s dynamic cycles (e.g., XRP). Set to false and adjust Manual Dominant Cycle Length (e.g., 50) for slower assets like stocks.
Cycle Smoothing EMA Period: Default 3 for XRP’s volatility—try 5-7 for smoother markets like forex.
Volume/Price Thresholds: Base Volume Threshold (2.0) and Base Price Change % Threshold (1.5) suit XRP 2H. Increase for high-volume assets (e.g., BTC) or decrease for low-volatility (e.g., forex).
Use Volume Weighted Candles: Default true—prompts a switch to VWC for optimal XRP 2H results. Toggle off if volume data is sparse (e.g., forex line charts).
How to Use on XRP 2H
Apply the Indicator: Add Cyclical Momentum Pivots V2 to your 2H XRP chart.
Watch Intent Signals: Turquoise upward markers (bullish) or yellow downward markers (bearish) offer early heads-ups.
Confirm with Larger Signals: Solid markers one bar later validate momentum—key on March 19th/25th, 2025.
Track Cycle Changes: Green (bullish lengthening) or red (bearish shortening) circles signal regime shifts.
Combine Signals: Clusters near whale flags (dark green/dark red) confirm XRP’s direction.
Adjust Inputs: Fine-tune for XRP or adapt for other assets.
Why It Beats MACD & cRSI
On XRP 2H, MACD lags with fixed EMAs, missing rapid swings, while standard cRSI lacks cycle depth. Cyclical Momentum Pivots V2 adapts dynamically, integrates Hurst cycles, and delivers intent/confirmation precision—offering actionable insights where others falter.
Killzones (UTC+3) by Roy באנגלית (Professional Style):
This script highlights the key Forex/Indices trading Killzones in Israel Time (UTC+3), including background colors and dynamic labels for:
Asian Session: 02:00–08:00
London Open: 10:00–12:00
New York Open: 14:00–17:00
London Close: 18:00–19:00
These are the hours with high institutional activity and increased market volatility – ideal for smart intraday setups.
✨ תיאור הסקריפט:
סקריפט זה מציג באופן ויזואלי את אזורי המסחר הפעילים ("Killzones") לפי שעון ישראל (UTC+3), כולל רקע צבעוני ותוויות טקסט לכל אזור חשוב:
🟤 Asian Killzone – בין השעות 02:00–08:00
🟢 London Killzone – בין השעות 10:00–12:00
🔵 New York Killzone – בין השעות 14:00–17:00
🔴 London Close – בין השעות 18:00–19:00
אידיאלי לסוחרים המחפשים לזהות מתי השוק נמצא בשיא התנודתיות והנפח.
The Crypto Wizard# The Crypto Wizard (Cwiz)
## Advanced Trading Framework for Cryptocurrency Markets
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The Crypto Wizard (Cwiz) offers a customizable, robust trading framework designed specifically for cryptocurrency market volatility. This open-source foundation provides essential components for building profitable automated trading strategies.
### Key Performance Indicators
| Metric | Value |
|--------|-------|
| Profit Factor | 1.992 |
| Sortino Ratio | 5.589 |
| Win Rate | ~40% |
| Max Drawdown | 15.82% |
### Core Features
- **Position Scaling System**: Intelligent position sizing with customizable multipliers and risk controls
- **Multi-layered Exit Strategy**: Combined take-profit, fixed stop-loss, and trailing stop mechanisms
- **Customizable Entry Framework**: Easily integrate your own entry signals and conditions
- **Comprehensive Visualization Tools**: Real-time performance tracking with position labels and indicators
### Setup Instructions
```pine PHEMEX:FARTCOINUSDT.P
// 1. Add to your chart and configure basic parameters
// 2. Adjust risk parameters based on your risk tolerance
// 3. Customize entry conditions or use defaults
// 4. Back-test across various market conditions
// 5. Enable live trading with careful monitoring
```
### Risk Management
Cwiz implements a sophisticated risk management system with:
- Automatic position size scaling
- User-defined maximum consecutive trades
- ATR-based dynamic stop loss placement
- Built-in circuit breakers for extreme market conditions
### Customization Options
The framework is designed for flexibility without compromising core functionality. Key customization points:
- Entry signal generation
- Position sizing parameters
- Stop loss and take profit multipliers
- Visualization preferences
### Recommended Usage
Best suited for volatile cryptocurrency markets with sufficient liquidity. Performs optimally in trending conditions but includes mechanisms to manage ranging markets.
---
*Disclaimer: Trading involves significant risk. Past performance is not indicative of future results. Always test thoroughly before live deployment.*
Price action plus//The system combines the divergence of A/D and OBV with identifying reversal points using Japanese candlestick patterns, creating an enhanced version of price action. This helps investors more easily and accurately recognize reversal patterns in technical analysis.
Divergence of A/D vs. OBV includes:
Positive divergence: Identifies smart money leaving the market.
Negative divergence: Identifies smart money entering the market.
Reversal candlestick patterns include:
Buy signals: Morning Star, Bullish Engulfing, Hammer.
Strong Buy signals: Buy signals + Negative divergence
Sell signals: Evening Star, Bearish Engulfing, Shooting Star.
Strong Sell signals : Sell signals + Positive divergence
//Hope this system will be helpful for you!
Candle Height & Trend Probability DashboardDescription and Guide
Description:
This Pine Script for TradingView displays a dashboard that calculates the probability of price increases or decreases based on past price movements. It analyzes the last 30 candles (by default) and shows the probabilities for different timeframes (from 1 minute to 1 week). Additionally, it checks volatility using the ATR indicator.
Script Features:
Calculates probabilities of an upward (Up %) or downward (Down %) price move based on past candles.
Displays a dashboard showing probabilities for multiple timeframes.
Color-coded probability display:
Green if the upward probability exceeds a set threshold.
Red if the downward probability exceeds the threshold.
Yellow if neither threshold is exceeded.
Considers volatility using the ATR indicator.
Triggers alerts when probabilities exceed specific values.
How to Use:
Insert the script into TradingView: Copy and paste the script into the Pine Script editor.
Adjust parameters:
lookback: Number of past candles used for calculation (default: 30).
alertThresholdUp & alertThresholdDown: Thresholds for probabilities (default: 51%).
volatilityLength & volatilityThreshold: ATR volatility settings.
dashboardPosition: Choose where the dashboard appears on the chart.
Enable visualization: The dashboard will be displayed over the chart.
Set alerts: The script triggers notifications when probabilities exceed set thresholds.
Intraday Volume Indicator for INDICES by TBTPH Pine Script code for an intraday volume indicator with session and lunch break highlights looks great! Here’s a summary of what each part of the script does:
Indicator Settings:
The indicator is set to show on a separate pane (overlay=false).
The SMA Length is adjustable with an input box (default of 20).
Volume and SMA Calculation:
You calculate the Simple Moving Average (SMA) of the volume over the selected length.
The volume color is determined based on whether the close price is higher or lower than the previous close and if the volume is above or below the SMA.
Volume Plot:
Volume is plotted as a histogram with different colors to indicate if the volume is higher or lower than the SMA.
You plot the SMA of the volume with an orange line for easier comparison.
Background Color:
You set a light gray background color to give a subtle contrast.
NYSE and LSE trading sessions are highlighted with green and blue, respectively.
Lunch break periods are highlighted with a white background for both exchanges.
Here are a couple of improvements or suggestions you might consider:
Session Time Overlap Handling:
If the script is applied to a chart where both NYSE and LSE data is visible, they may overlap depending on the time zone of your chart. Ensure the session times align with the active market's timezone, especially if you are using a chart with a different timezone setting.
Color Customization:
The color scheme for bullish/bearish volume could be enhanced further. For example, you could introduce more transparency for low-volume periods to make the histogram appear more subtle during less active trading times.
Handling Different Time Zones:
If your chart is not in the "America/New_York" or "GMT" time zone, be mindful of the session times. The timestamp function depends on the chart’s time zone, so ensuring you're adjusting for different markets is key.
ICT Order Blocks v2 (Debug)Josh has a very large PP xD
Understanding Order Blocks (OBs) - The ICT Perspective
This document delves into the concept of Order Blocks (OBs) from the perspective of the ICT methodology. It outlines what OBs are, their significance in trading, and how the "ICT Order Blocks v2 (Refined)" indicator functions to identify and visualize these critical price levels. By understanding OBs, traders can better navigate market movements and make informed decisions based on institutional trading behavior.
What is an Order Block (OB)?
Within ICT methodology, an Order Block represents a specific price candle where significant buying or selling interest from institutions (Smart Money) is believed to have occurred. They are potential areas where price might return and react.
Bullish Order Block: Typically the last down-closing candle before a strong, impulsive upward move (displacement). It suggests institutions may have absorbed selling pressure and initiated long positions here.
Bearish Order Block: Typically the last up-closing candle before a strong, impulsive downward move (displacement). It suggests institutions may have distributed long positions or initiated short positions here.
Why are OBs Significant (ICT View)?
Institutional Footprint: They mark potential zones of large order execution.
Support/Resistance: Unmitigated OBs can act as sensitive price levels where reactions are expected. Bullish OBs may provide support; Bearish OBs may provide resistance.
Origin of Moves: They often mark the origin point of significant price swings.
Liquidity Engineering: Institutions might drive price back to OBs to mitigate earlier positions or to engineer liquidity before continuing a move.
Common Refinements
ICT often emphasizes higher probability OBs that are associated with:
Displacement: The move away from the OB is sharp and decisive.
Fair Value Gaps (FVGs): An FVG forming immediately after the OB strengthens its validity.
OB Mitigation: This refers to price returning to the level of the Order Block after its formation. Price might react at the edge (proximal line) or the 50% level (mean threshold) of the OB. An OB is often considered fully mitigated or invalidated if price trades decisively through its entire range, especially with a candle body closing beyond it.
How the "ICT Order Blocks v2 (Refined)" Indicator Works
This indicator automates the detection and visualization of the most recent unmitigated Order Block of each type (Bullish/Bearish), incorporating optional filters.
Detection:
It looks at the relationship between the candle two bars ago ( ), the previous candle ( ), and potentially the current candle ( ).
Bullish OB: Identifies if candle was a down-close (close < open ) AND candle broke above the high of candle (high > high ).
Bearish OB: Identifies if candle was an up-close (close > open ) AND candle broke below the low of candle (low < low ).
Accuracy Filters (Optional Inputs):
These filters help identify potentially higher-probability OBs:
Require Fair Value Gap (FVG)?: If enabled, the indicator checks if an FVG formed immediately after the OB candle ( ). Specifically, it looks for a gap between candle and candle (low > high for Bullish OB confirmation, high < low for Bearish).
Require Strong Close Breakout?: If enabled, it requires the breakout candle ( ) to close beyond the range of the OB candle ( ). (close > high for Bullish, close < low for Bearish). This suggests stronger confirmation.
Storing the Most Recent OB:
When an OB is detected and passes any enabled filters, its details (high, low, formation bar index) are stored. Crucially, this indicator only tracks the single most recent valid unmitigated OB of each type (one Bullish, one Bearish) using var variables. If a newer valid OB forms, it replaces the previously stored one.
Drawing Boxes:
If a valid Bullish OB is being tracked (and Show Bullish OBs is enabled), it draws a box (box.new) using the high and low of the identified OB candle ( ). The same process applies to Bearish OBs (Show Bearish OBs enabled). The boxes automatically extend to the right (extend.right) and their right edge is updated on each new bar (box.set_right) until they are mitigated. Labels ("Bull OB" / "Bear OB") are displayed inside the boxes.
Mitigation & Box Deletion:
The indicator checks if the current closing price (close ) has moved entirely beyond the range of the tracked OB.
Mitigation Rule Used: A Bullish OB is considered mitigated if close < bull_ob_low. A Bearish OB is considered mitigated if close > bear_ob_high. Once an OB is marked as mitigated, the indicator stops tracking it and its corresponding box is automatically deleted (box.delete) from the chart.
This indicator provides a dynamic visualization of the most recent, potentially significant Order Blocks that meet the specified criteria, helping traders identify key areas of interest based on ICT principles.
Enhanced MA and RSI StrategyOverview: Trend following is a strategy that attempts to capture gains through the analysis of an asset's momentum in a particular direction. One of the simplest and most effective ways to implement a trend-following strategy is using moving averages.
Key Components
Indicators Used:
Moving Averages: Typically, a combination of a short-term and a long-term moving average (e.g., 50-day and 200-day simple moving averages).
Entry Signals:
Buy Signal: When the short-term moving average crosses above the long-term moving average (Golden Cross).
Sell Signal: When the short-term moving average crosses below the long-term moving average (Death Cross).
Exit Signals:
Close the position when the opposite signal occurs (i.e., sell when a death cross happens after a buy).
Risk Management:
Set stop-loss orders below the most recent swing low (for long positions) or above the swing high (for short positions).
Use a risk-to-reward ratio of at least 1:2.
Example of the Strategy in Action
Assumptions:
We will use a 50-day moving average as the short-term and a 200-day moving average as the long-term.
Buy Signal Example:
Date: March 1, 2023
Short MA (50-day): $100
Long MA (200-day): $98
Action: Buy when the 50-day MA crosses above the 200-day MA.
Sell Signal Example:
Date: June 1, 2023
Short MA (50-day): $120
Long MA (200-day): $119
Action: Sell when the 50-day MA crosses below the 200-day MA.
Advantages of the Strategy
Simplicity: Easy to understand and implement.
Objective: Removes emotional decision-making by relying on predefined
Porcentaje sobre/debajo SMAsIdentify strong bullish reversals when:
1) Price spends <30% of time below SMA200 (extreme oversold),
2) Confirmed by RSI<20.
Сессии 1 min (Лондон/Нью-Йорк + Close)London/NY Sessions + London Close
*Pine Script v5 - For TradingView*
EN: Visualizes trading sessions per hour:
- LON Open (08-20m) - Blue
- NY Open (28-40m) - Green
- LON Close (44-48m) - Purple
RU: Отображает торговые сессии внутри часа:
- ЛОН Open (08-20 мин) - Синий
- NY Open (28-40 мин) - Зеленый
- ЛОН Close (44-48 мин) - Фиолетовый
Features:
✔ Customizable timing
✔ Works on all timeframes
✔ Session labels
Особенности:
✔ Настройка времени
✔ Все таймфреймы
✔ Подписи сессий
Alert-ready: Use alertcondition()
Для алертов: alertcondition()
Для донатов сбербанк - 4276060043810228
Stop Loss / Take Profit Table// (\_/)
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