XAMD/AMDX ICT 01 [TradingFinder] SMC Quarterly Theory Cycles🔵 Introduction
The XAMD/AMDX strategy, combined with the Quarterly Theory, forms the foundation of a powerful market structure analysis. This indicator builds upon the principles of the Power of 3 strategy introduced by ICT, enhancing its application by incorporating an additional phase.
By extending the logic of Power of 3, the XAMD/AMDX tool provides a more detailed and comprehensive view of daily market behavior, offering traders greater precision in identifying key movements and opportunities
This approach divides the trading day into four distinct phases : Accumulation (19:00 - 01:00 EST), Manipulation (01:00 - 07:00 EST), Distribution (07:00 - 13:00 EST), and Continuation or Reversal (13:00 - 19:00 EST), collectively known as AMDX.
Each phase reflects a specific market behavior, providing a structured lens to interpret price action. Building on the fractal nature of time in financial markets, the Quarterly Theory introduces the Four Quarters Method, where a currency pair’s price range is divided into quarters.
These divisions, known as quarter points, highlight critical levels for analyzing and predicting market dynamics. Together, these principles allow traders to align their strategies with institutional trading patterns, offering deeper insights into market trends
🔵 How to Use
The AMDX framework provides a structured approach to understanding market behavior throughout the trading day. Each phase has its own characteristics and trading opportunities, allowing traders to align their strategies effectively. To get the most out of this tool, understanding the dynamics of each phase is essential.
🟣 Accumulation
During the Accumulation phase (19:00 - 01:00 EST), the market is typically quiet, with price movements confined to a narrow range. This phase is where institutional players accumulate their positions, setting the stage for future price movements.
Traders should use this time to study price patterns and prepare for the next phases. It’s a great opportunity to mark key support and resistance zones and set alerts for potential breakouts, as the low volatility makes immediate trading less attractive.
🟣 Manipulation
The Manipulation phase (01:00 - 07:00 EST) is often marked by sharp and deceptive price movements. Institutions create false breakouts to trigger stop-losses and trap retail traders into the wrong direction. Traders should remain cautious during this phase, focusing on identifying the areas of liquidity where these traps occur.
Watching for price reversals after these false moves can provide excellent entry opportunities, but patience and confirmation are crucial to avoid getting caught in the manipulation.
🟣 Distribution
The Distribution phase (07:00 - 13:00 EST) is where the day’s dominant trend typically emerges. Institutions execute large trades, resulting in significant price movements. This phase is ideal for trading with the trend, as the market provides clearer directional signals.
Traders should focus on identifying breakouts or strong momentum in the direction of the trend established during this period. This phase is also where traders can capitalize on setups identified earlier, aligning their entries with the market’s broader sentiment.
🟣 Continuation or Reversal
Finally, the Continuation or Reversal phase (13:00 - 19:00 EST) offers a critical juncture to assess the market’s direction. This phase can either reinforce the established trend or signal a reversal as institutions adjust their positions.
Traders should observe price behavior closely during this time, looking for patterns that confirm whether the trend is likely to continue or reverse. This phase is particularly useful for adjusting open positions or initiating new trades based on emerging signals.
🔵 Settings
Show or Hide Phases.
Adjust the session times for each phase :
Accumulation: 19:00-01:00 EST
Manipulation: 01:00-07:00 EST
Distribution: 07:00-13:00 EST
Continuation or Reversal: 13:00-19:00 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
AMDX provides traders with a practical method to analyze daily market behavior by dividing the trading day into four key phases: Accumulation, Manipulation, Distribution, and Continuation or Reversal. Each phase highlights specific market dynamics, offering insights into how institutional activity shapes price movements.
From the quiet buildup in the Accumulation phase to the decisive trends of the Distribution phase, and the critical transitions in Continuation or Reversal, this approach equips traders with the tools to anticipate movements and make informed decisions.
By recognizing the significance of each phase, traders can avoid common traps during Manipulation, capitalize on clear trends during Distribution, and adapt to changes in the final phase of the day.
The structured visualization of market phases simplifies decision-making for traders of all levels. By incorporating these principles into your trading strategy, you can enhance your ability to align with market trends, optimize entry and exit points, and achieve more consistent results in your trading journey.
Multitimeframe
Dual Timeframe Stochastic Momentum Index w/buy sell signalsThis indicator combines momentum analysis across two timeframes to identify high-probability trading opportunities. It plots the Stochastic Momentum Index (SMI) for both the chart timeframe and a higher timeframe (default 10 minutes) to help traders align with the broader market trend.
Key Features
Displays SMI and its EMA for both timeframes
Background shading indicates favorable trading conditions
Signal dots mark potential entry points
Customizable parameters for fine-tuning
Signals Explained
Bullish Signals (Green Dots)
Appear when the chart timeframe SMI crosses above its EMA
Only trigger during periods when the higher timeframe shows:
SMI is above its EMA (increasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Bearish Signals (Red Dots)
Appear when the chart timeframe SMI crosses below its EMA
Only trigger during periods when the higher timeframe shows:
SMI is below its EMA (decreasing momentum)
SMI is between -40 and +40 (not overbought/oversold)
Settings
%K Length: Lookback period for SMI calculation (default: 10)
%D Length: Smoothing period for primary calculation (default: 3)
EMA Length: Smoothing period for signal line (default: 3)
Alternative Timeframe: Higher timeframe for trend analysis (default: 10 minutes)
Best Practices
Use higher timeframe signals to determine market bias
Wait for signal dots in the chart timeframe for entry timing
Avoid trades when higher timeframe SMI is in extreme zones (above 40 or below -40)
Consider additional confirmation from price action or other indicators
Note: This indicator combines trend and momentum analysis but should be used as part of a complete trading strategy that includes proper risk management.
Range FinderStill incomplete.
This indicator shows how to find range targets, according to my definition of what a range is.
ADX MTF TableThis Indicator displays a table on the chart with the Average Directional Index (ADX) values for two different timeframes. It calculates the ADX using a custom formula and shows the ADX values along with their corresponding timeframes. The table's position, font size, and background color can be customized, and the timeframes are labeled with "ADX" appended to their unit (e.g., "5m ADX", "1D ADX"). The table updates dynamically with the latest ADX values for each timeframe.
Binary Options Strategy with Enhancements panazana v1
This script combines multiple technical analysis tools to provide signals and visual guidance for trading binary options. Here’s a breakdown of its key components and how it works:
Purpose
This script is a strategy for binary options trading that combines:
RSI (Relative Strength Index)
EMA (Exponential Moving Averages)
Keltner Channels
ZigZag indicators
Volume thresholds
Trading session filters It aims to generate buy/sell signals based on high-probability conditions and manage risk with adjustable parameters.
Key Components
1. Risk Management
Inputs: Define different risk percentages for signals of varying confidence (riskLow, riskMid, riskHigh).
ATR Multipliers: Used to calculate dynamic stop-loss (atrMultiplierSL) and take-profit (atrMultiplierTP) levels based on volatility.
2. Indicators Used
RSI (Relative Strength Index):
Measures momentum by identifying overbought (RSI > 75) and oversold (RSI < 25) levels.
Helps determine entry points for buys/sells.
EMA (Exponential Moving Averages):
Two EMAs (20 and 50 periods) define the short-term and long-term trend:
Uptrend: Fast EMA (20) above Slow EMA (50).
Downtrend: Fast EMA below Slow EMA.
Keltner Channels:
Provides dynamic support and resistance zones based on price and ATR (volatility).
Buy conditions: Price crosses below the lower band.
Sell conditions: Price crosses above the upper band.
ZigZag Indicator:
Identifies local highs and lows to refine buy/sell signals.
Uses a configurable depth and deviation for peak/valley detection.
Draws lines to visualize trends.
3. Trading Sessions
Filters signals to specific sessions:
London Session: 7:00–15:00.
New York Session: 12:30–21:00.
Highlights these sessions on the chart using background colors.
4. Signal Logic
Trend and Momentum Conditions:
Confirms trend using EMA crossovers and RSI momentum thresholds.
Buy Signal:
Price below Keltner Channel lower band.
Zigzag detects a local low.
RSI in oversold territory (<30).
Validated within a trading session.
Sell Signal:
Price above Keltner Channel upper band.
Zigzag detects a local high.
RSI in overbought territory (>70).
Validated within a trading session.
5. Position Sizing
Allocates risk capital based on signal strength:
Strong momentum = Higher risk.
Weak momentum = Lower risk.
6. Stop Loss and Take Profit
Uses ATR (Average True Range) for dynamic stop-loss and take-profit levels:
Stop-loss: Entry price ± ATR * atrMultiplierSL.
Take-profit: Entry price ± ATR * atrMultiplierTP.
7. Alerts and Labels
Alerts:
Strong Buy/Sell Signals: Sent when all conditions are met.
Labels:
Plots "Strong Buy" or "Strong Sell" labels with distinct colors for easy visualization.
8. Support/Resistance Zones
Calculates daily high/low levels and identifies whether the price is in a buy zone (near support) or a sell zone (near resistance).
Visualization
Keltner Channels:
Green (lower band), Red (upper band), and Blue (basis).
EMA:
Fast EMA (blue) and Slow EMA (orange) plotted for trend identification.
ZigZag Lines:
Green for highs and Red for lows.
Trading Sessions:
Blue for London, Red for New York.
How to Use
Configure Inputs:
Adjust risk percentages, ATR multipliers, RSI levels, EMA lengths, and Keltner Channel settings based on your strategy.
Visualize Signals:
Look for "Strong Buy" or "Strong Sell" labels with alerts.
Evaluate Volume:
Use volume confirmation to validate signals.
Session Filter:
Trade signals only during active sessions to reduce noise.
Multi-Timeframe Buy/Sell Signal Analysis
1. The objective of this script is to provide buy and sell signals based on moving average (MA) and average true range (ATR) analysis, utilising data from multiple timeframes. The script permits traders to conduct more comprehensive analyses by examining market trends across a range of time intervals.
2. Inputs and Settings
MA Type: The user may select the type of moving average to be employed, either the simple moving average (SMA) or the exponential moving average (EMA).
maLength and maLength2: This parameter specifies the period lengths for the two types of moving averages (primary and secondary), which facilitate the analysis of short- and long-term trends.
=> atrLength: This parameter establishes the period for calculating ATR, which is employed to quantify price volatility.
=> atrMultiplier: The level of volatility is defined by multiplying the ATR value, thus establishing more dynamic price limits.
3. The Moving Average (MA) Function
The MA function is employed for the calculation of the Moving Average value, contingent on the selected type and length of the specified period. The MA is calculated on the closing price of the analysed symbol.
4. Multi-Timeframe Analysis
The script implements multi-timeframe analysis by calculating the moving average (MA) for various time intervals (3 minutes, 15 minutes, 60 minutes, and daily) using the request.security function. This allows users to view market trends on different timeframes, thereby facilitating a more comprehensive understanding of price movements.
5. The ATR calculatio is employed for the purpose of measuring market volatility. The script calculates the ATR based on the predefined ATRLength parameter. The ATR is employed for the purpose of adjusting buy and sell signals, taking into account market volatility that may be either higher or lower than average.
6. Buy/Sell Signal
A buy signal is generated when: A buy signal is generated when the closing price is above the primary moving average (MA), the primary MA is higher than the secondary MA, and the closing price is higher than the primary MA plus the modified moving average (MA) with a multiplier.
The Sell Signal is generated when the closing price is above the main moving average, the main moving average is above the secondary moving average, and the closing price is above the main moving average plus the modified moving average with a multiplier. A sell signal is generated when the closing price is below the main moving average, the main moving average is below the secondary moving average, and the closing price is below the main moving average minus the modified moving average average range with a multiplier.
7. The visualisation of the buy and sell signals is as follows: The highlighted form is in the shape of a green triangle (for buy signals) and a red triangle (for sell signals) and is displayed above or below the price bar.
=> Multi-Timeframe Moving Average (MA): The MA for each timeframe is displayed with a different colour (blue for 3 minutes, purple for 15 minutes, orange for 60 minutes, and grey for daily) in order to provide an illustration of the trend over a range of time periods.
The background serves to provide context. Additionally, the script incorporates the addition of a green or red background on the chart, which serves to indicate whether a buy or sell signal is present.
8. Advantages and Applications
This script is particularly beneficial for traders who wish to analyse the market using moving average (MA)-based signals and average true range (ATR) volatility. It offers flexibility through the use of different timeframes. This script can be used in conjunction with other indicators (e.g. relative strength index (RSI)) to enhance the precision of trading decisions.
I hope you enjoy my script and can enjoy it. the script is still in the development stage because the script still has signal notification gaps with certain periods and market volatility.
The script can be used in stock, crypto, and forex instruments / new scripts are tested in the stock and crypto markets. you can comment if you have tried in the forec market or others.
this script creat by J-trade.
EMA Crossover Strategy by AzeezacademyExplanation
Buy Condition:
The 9 EMA crosses above the 21 EMA.
Both EMAs (9 and 21) are above the 50 EMA, confirming an uptrend.
Sell Condition:
The 9 EMA crosses below the 21 EMA.
Both EMAs (9 and 21) are below the 50 EMA, confirming a downtrend.
Trade Execution:
When the buy_condition is met, the strategy enters a long position.
When the sell_condition is met, the strategy enters a short position.
Visual Signals:
Green "Buy" labels appear below the bars when a buy signal is generated.
Red "Sell" labels appear above the bars when a sell signal is generated.
Multi-Timeframe ATRsThis Multi-Timeframe ATR Indicator displays the Average True Range (ATR) values from multiple timeframes on a single chart, allowing traders to assess market volatility across different time periods. The indicator calculates and plots the ATR for the 1-hour, 3-hour, 4-hour, 1-day, and 2-day timeframes, with the option to toggle each timeframe on or off based on user preferences. By visualizing these ATR values, traders can identify potential price movement expectations for various timeframes and better understand how volatility is shifting across the market. This tool is handy for traders who want to gauge volatility over different time periods and incorporate it into their trading strategies.
By evaluating higher timeframes when entering trades, a trader can better understand market conditions. This insight helps the trader make informed decisions about whether to remain in the trade for a longer period.
The indicator is fully customizable, with color-coded plots for each timeframe and optional labels that display the ATR values directly on the chart. It is ideal for traders looking to add volatility insights to their technical analysis without cluttering their charts.
Daily MAs on Intraday ChartsThis is a very simple, yet powerful indicator, for intraday and swing traders.
The indicator plots price levels of key daily moving averages as horizontal lines onto intraday charts.
The key daily moving averages being:
5-day EMA
10-day EMA
21-day EMA
50-day SMA
100-day SMA
200-day SMA
The moving averages above can be toggled on and off to the users liking and different colours selected to show the locations of daily moving average price levels on intraday charts.
Below is a chart of the SPY on the 30-minute timeframe. The black line represents the price level of the SPY's 10-day EMA, and the blue line represents the price level of the SPY's 21-day EMA.
Key daily moving averages like those mentioned above can be areas of support or resistance for major indexes, ETFs, and individual stocks. Therefore, when using multiple timeframe analysis combining daily charts and intraday charts, it's useful to be aware of these key daily moving average levels for potential reversals.
This indicator clearly shows where the key daily moving average price levels are on intraday charts for the chosen ticker symbol, thus helping traders to identify potential points of interest for trading ideas - i.e., going long or pullbacks into key daily moving averages, or short on rallies into key daily moving averages subject to the trader's thoughts at the time.
By using the 'Daily MAs on Intraday Charts' the trader can now have a multi-chart layout and be easily aware of key price levels from daily moving averages when looking at various intraday timeframe charts such as the 1-minute, 5-minute, 15-minute, 30-minute, 1-hour etc. This can be essential information for opening long and short trading ideas.
Multi-Timeframe Volume-Weighted RSIA multiple timeframe volume-weighted RSI.
Blue Line = Current Time Frame
Orange Line = Select your desired Time Frame
e.g. Blue = Daily, Orange = Weekly
1. Incorporates Market Commitment
Value: By factoring in volume, the volume-weighted RSI captures the intensity of trading activity behind price movements.
Why it’s useful:
Regular RSI measures price momentum but does not differentiate between moves with high or low trading activity.
A volume-weighted RSI assigns greater importance to price changes occurring on high volume, reflecting stronger market conviction.
2. Improved Signal Reliability
Value: Signals generated by a volume-weighted RSI (e.g., overbought or oversold conditions) may be more reliable because they account for the level of trader participation.
Why it’s useful:
Low-volume price movements often result in false signals or "noise."
A volume-weighted RSI helps filter out such noise, reducing the likelihood of false breakouts or fake reversals.
3. Better Divergence Detection
Value: Divergences between price action and the RSI (bullish or bearish divergences) are more meaningful when confirmed by volume.
Why it’s useful:
Regular RSI might show divergence in price momentum, but this divergence might lack substance if the underlying volume is weak.
A volume-weighted RSI ensures that divergence signals align with periods of significant market participation.
4. Enhanced Trend Analysis
Value: Trends supported by strong volume are given more weight, helping traders better identify and follow trends.
Why it’s useful:
Regular RSI might show overbought or oversold signals prematurely during strong trends.
Volume-weighted RSI considers whether trends are backed by significant market activity, helping avoid early exits.
5. More Meaningful Overbought/Oversold Levels
Value: Levels like 70 (overbought) and 30 (oversold) are more credible when supported by volume.
Why it’s useful:
In a regular RSI, overbought or oversold levels might occur on light trading, leading to false reversals.
A volume-weighted RSI ensures these levels are triggered by substantial market participation, increasing their reliability.
Practical Applications:
Trend Confirmation: Use the volume-weighted RSI to confirm whether momentum in a trend is supported by strong participation.
Divergence Spotting: Identify divergences with more confidence by prioritizing those with volume support.
Filtering False Breakouts: Avoid entering trades during weak volume phases by focusing on volume-weighted RSI signals.
Limitations:
Market Type Dependency: Its usefulness may diminish in low-volume assets or markets where volume data is unavailable (e.g., forex).
EMA Crossover Strategy indicator by dante5093simple but not yet complete, uses to 20 EMA and 50 EMA cross over , to signal a buy or sell trade
Hosoda ProjectionsThis script, written in Pine Script v5, introduces a technical analysis tool called "Hosoda Projections." Inspired by Ichimoku Kinkō Hyō and wave-based forecasting methods, this indicator helps traders visualize potential future price levels using a combination of pivot detection and projected price movements. It offers a unique way to anticipate market dynamics and define potential targets, making it particularly useful for those who seek to combine historical price patterns with forward-looking strategies.
The script works by detecting key pivot points in the market using a customizable lookback period and then calculating a ZigZag pattern based on price fluctuations that exceed a specified percentage threshold. These pivots are used to identify three recent swing points, which serve as the foundation for projecting possible future price levels. Using these swings, the script generates levels that correspond to Fibonacci-based extensions and projections, such as 38.2%, 61.8%, 100%, 161.8%, and additional extensions like 261.8% and 361.8%. These levels are visualized on the chart as horizontal lines and labeled with their respective values for easy interpretation.
The primary advantage of the Hosoda Projections script is its ability to provide a structured approach to identifying potential price targets. By leveraging the natural rhythm of price movements, it offers insights into where the market might find support or resistance in the future. This can help traders refine their entry and exit points, manage risk more effectively, and gain a deeper understanding of market sentiment. Additionally, the dynamic nature of the projections adapts to new price data, ensuring the tool remains relevant across changing market conditions.
This script is particularly valuable for traders who appreciate the harmony between historical price action and predictive analysis. Whether you are trading forex, stocks, or cryptocurrencies, the Hosoda Projections tool can enhance your trading strategy by providing actionable and visually intuitive forecasts.
GoldenTradz EMA+SMA Insight Multi Timeframe - [TilakBala]GoldenTradz EMA+SMA Insight Multi-Timeframe
📊 Indicator By: TilakBala from GoldenTradz — Revolutionize your trading approach with precision and insight!
Unlock the full potential of moving averages with the GoldenTradz EMA+SMA Insight indicator. This feature-packed tool combines the strength of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), offering unmatched flexibility and clarity for traders. Whether you're a beginner or a pro, this indicator empowers you to make well-informed trading decisions across multiple timeframes.
Key Features & Advantages:
Multi-Timeframe Analysis: Seamlessly analyze market trends using EMAs and SMAs from different timeframes on a single chart.
Gain a broader perspective by comparing short-term and long-term trends.
Customizable Settings:
Adjust EMA and SMA lengths, sources, and timeframes to fit your trading strategy perfectly.
Enable or disable specific moving averages for a clutter-free chart view.
Enhanced Trend Detection:
Identify bullish and bearish trends quickly using visually distinct EMAs and SMAs.
Use shorter EMAs for faster signals and longer SMAs for reliable trend confirmation.
Overlay Design:
Plots moving averages directly on the price chart for effortless analysis.
Distinct colors and line thicknesses ensure clear identification of each moving average.
Versatile Applications:
Suitable for scalping, day trading, swing trading, and long-term investments.
Works flawlessly with stocks, forex, cryptocurrencies, commodities, indices, and more.
Decision-Making Support:
Crossovers between EMAs and SMAs help identify potential buy or sell opportunities.
Monitor key support and resistance levels dynamically.
Efficiency in Market Noise:
EMAs provide rapid responsiveness in volatile markets.
SMAs help smooth out market noise for clearer long-term trends.
Adaptable to Any Strategy:
Perfect for breakout, trend-following, and mean-reversion strategies.
Combine with other indicators for a comprehensive trading system.
User-Friendly:
Intuitive interface with clear input fields for quick setup.
Suitable for traders of all experience levels.
📊 Indicator By: TilakBala from GoldenTradz — Revolutionize your trading approach with precision and insight!
Transform your trading with GoldenTradz EMA+SMA Insight — the ultimate tool for trend and momentum analysis.
Adaptive Squeeze Momentum StrategyThe Adaptive Squeeze Momentum Strategy is a versatile trading algorithm designed to capitalize on periods of low volatility that often precede significant price movements. By integrating multiple technical indicators and customizable settings, this strategy aims to identify optimal entry and exit points for both long and short positions.
Key Features:
Long/Short Trade Control:
Toggle Options: Easily enable or disable long and short trades according to your trading preferences or market conditions.
Flexible Application: Adapt the strategy for bullish, bearish, or neutral market outlooks.
Squeeze Detection Mechanism:
Bollinger Bands and Keltner Channels: Utilizes the convergence of Bollinger Bands inside Keltner Channels to detect "squeeze" conditions, indicating a potential breakout.
Dynamic Squeeze Length: Calculates the average squeeze duration to adapt to changing market volatility.
Momentum Analysis:
Linear Regression: Applies linear regression to price changes over a specified momentum length to gauge the strength and direction of momentum.
Dynamic Thresholds: Sets momentum thresholds based on standard deviations, allowing for adaptive sensitivity to market movements.
Momentum Multiplier: Adjustable setting to fine-tune the aggressiveness of momentum detection.
Trend Filtering:
Exponential Moving Average (EMA): Implements a trend filter using an EMA to align trades with the prevailing market direction.
Customizable Length: Adjust the EMA length to suit different trading timeframes and assets.
Relative Strength Index (RSI) Filtering:
Overbought/Oversold Signals: Incorporates RSI to avoid entering trades during overextended market conditions.
Adjustable Levels: Set your own RSI oversold and overbought thresholds for personalized signal generation.
Advanced Risk Management:
ATR-Based Stop Loss and Take Profit:
Adaptive Levels: Uses the Average True Range (ATR) to set stop loss and take profit points that adjust to market volatility.
Custom Multipliers: Modify ATR multipliers for both stop loss and take profit to control risk and reward ratios.
Minimum Volatility Filter: Ensures trades are only taken when market volatility exceeds a user-defined minimum, avoiding periods of low activity.
Time-Based Exit:
Holding Period Multiplier: Defines a maximum holding period based on the momentum length to reduce exposure to adverse movements.
Automatic Position Closure: Closes positions after the specified holding period is reached.
Session Filtering:
Trading Session Control: Limits trading to predefined market hours, helping to avoid illiquid periods.
Custom Session Times: Set your preferred trading session to match market openings, closings, or specific timeframes.
Visualization Tools:
Indicator Plots: Displays Bollinger Bands, Keltner Channels, and trend EMA on the chart for visual analysis.
Squeeze Signals: Marks squeeze conditions on the chart, providing clear visual cues for potential trade setups.
Customization Options:
Indicator Parameters: Fine-tune lengths and multipliers for Bollinger Bands, Keltner Channels, momentum calculation, and ATR.
Entry Filters: Choose to use trend and RSI filters to refine trade entries based on your strategy.
Risk Management Settings: Adjust stop loss, take profit, and holding periods to match your risk tolerance.
Trade Direction Control: Enable or disable long and short trades independently to align with your market strategy or compliance requirements.
Time Settings: Modify the trading session times and enable or disable the time filter as needed.
Use Cases:
Trend Traders: Benefit from aligning entries with the broader market trend while capturing breakout movements.
Swing Traders: Exploit periods of low volatility leading to significant price swings.
Risk-Averse Traders: Utilize advanced risk management features to protect capital and manage exposure.
Disclaimer:
This strategy is a tool to assist in trading decisions and should be used in conjunction with other analyses and risk management practices. Past performance is not indicative of future results. Always test the strategy thoroughly and adjust settings to suit your specific trading style and market conditions.
Forward Price Performance TableThis calculates the percentage price changes for three key timeframes:
1 week (5 trading days ago)
1 month (17 trading days ago),
3 months (45 trading days ago).
This is to show a forward looking performance based on earlier timeframes that traditionally used. This is the framework I team uses to calculate performance metrics.
Multi-Timeframe MACD, Signal & Histogram TableThis Pine Script is designed for the TradingView platform to create a multi-timeframe MACD (Moving Average Convergence Divergence), Signal, and Histogram table that displays values for different timeframes. The script uses the MACD indicator to assess market trends across various timeframes and display the results in a table format on the chart. Here's a breakdown of its components and functionality:
1. User Inputs for Timeframes:
The script allows the user to input five different timeframes for the analysis. These are configured using input.string, which enables the user to select from a list of timeframes (from seconds to months).
tf1 to tf5 represent the different timeframes (for example, 5 minutes, 15 minutes, 60 minutes, 240 minutes, and daily).
2. MACD Settings:
The script provides adjustable settings for the MACD calculation:
macdShortLength (default 12): The length of the short-term moving average for the MACD.
macdLongLength (default 26): The length of the long-term moving average for the MACD.
macdSignalLength (default 9): The length of the signal line, which is an EMA (Exponential Moving Average) of the MACD line.
3. MACD Calculation Function (calc_macd):
This function calculates the MACD, Signal, and Histogram values:
MACD Line: Difference between the fast and slow exponential moving averages.
Signal Line: EMA of the MACD line.
Histogram: Difference between the MACD line and Signal line.
4. Requesting Multi-Timeframe Data:
The script calculates the MACD, Signal, and Histogram for the selected timeframes (tf1 to tf5) using request.security, which retrieves data for those timeframes:
macd_tf1, signal_tf1, hist_tf1 for Timeframe 1 (and similar variables for the other timeframes).
5. Rounding Values:
A helper function roundDecimal is used to round MACD, Signal, and Histogram values to two decimal places for readability.
6. Color Assignment Based on Value:
The colors of the values in the table cells are dynamically set based on whether the value is positive or negative:
MACD, Signal, and Histogram: The script uses conditional color assignments (green for positive values, red for negative values).
For example, if the MACD value is greater than or equal to 0, it is colored green, otherwise red. The same logic applies to the Signal and Histogram values.
7. Populating the Table:
For each timeframe (tf1 to tf5), the script populates the table with the following data:
Timeframe (e.g., "5 min")
Rounded MACD value
Rounded Signal value
Rounded Histogram value
The respective color is applied to each value based on whether it is positive or negative.
8. Table Update:
The table is updated dynamically with new data on each new bar. Each timeframe’s values are populated into the table starting from row 1 through row 5.
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
VD Zig Zag with SMAIntroduction
The VD Zig Zag with SMA indicator is a powerful tool designed to streamline technical analysis by combining Zig Zag swing lines with a Simple Moving Average (SMA). It offers traders a clear and intuitive way to analyze price trends, market structure, and potential reversals, all within a customizable framework.
Definition
The Zig Zag indicator is a trend-following tool that highlights significant price movements by filtering out smaller fluctuations. It visually connects swing highs and lows to reveal the underlying market structure. When paired with an SMA, it provides an additional layer of trend confirmation, helping traders align their strategies with market momentum.
Calculations
Zig Zag Logic:
Swing highs and lows are determined using a user-defined length parameter.
The highest and lowest points within the specified range are identified using the ta.highest() and ta.lowest() functions.
Zig Zag lines dynamically connect these swing points to visually map price movements.
SMA Logic:
The SMA is calculated using the closing prices over a user-defined period.
It smooths out price action to provide a clearer view of the prevailing trend.
The indicator allows traders to adjust the Zig Zag length and SMA period to suit their preferred trading timeframe and strategy.
Takeaways
Enhanced Trend Analysis: The Zig Zag lines clearly define the market's structural highs and lows, helping traders identify trends and reversals.
Customizable Parameters: Both the swing length and SMA period can be tailored for short-term or long-term trading strategies.
Visual Clarity: By filtering out noise, the indicator simplifies chart analysis and enables better decision-making.
Multi-Timeframe Support: Adapts seamlessly to the chart's timeframe, ensuring usability across all trading horizons.
Limitations
Lagging Nature: As with any indicator, the Zig Zag and SMA components are reactive and may lag during sudden price movements.
Sensitivity to Parameters: Improper parameter settings can lead to overfitting, where the indicator reacts too sensitively or misses significant trends.
Does Not Predict: This indicator identifies trends and structure but does not provide forward-looking predictions.
Summary
The VD Zig Zag with SMA indicator is a versatile and easy-to-use tool that combines the strengths of Zig Zag swing analysis and moving average trends. It helps traders filter market noise, visualize structural patterns, and confirm trends with greater confidence. While it comes with limitations inherent to all technical tools, its customizable features and multi-timeframe adaptability make it an excellent addition to any trader’s toolkit.
Additional Features
Have an idea or a feature you'd like to see added?
Feel free to reach out or share your suggestions here—I’m always open to updates!
ATR and Volume AnalysisHi!
I would like to present an indicator that's meant to measure ratio of Volatility to Volume.
Basically it measures 2 moving averages (14 and 100 period) of ATR and Volume and then compares them. The output is ATR14 / Vol14
Color scheme
Red: Volume and ATR is both below 14 period
Green: Both are above
Yellow: Volume up, volatility down
Purple: Volume down, volatility up
Then there are two lines - 1 and 1.5
That is, in my opinion, the most optimal state to trade, because 1 means that there is some volatility and it's confirmed by volume. Above 1,5 you could see it as overbought (or oversold) zone. If it's above this line, we could expect a retracement since the volatility is not backed by volume. Above 2 it's quite critical and I would suggest closing trades.
(You can use it across all timeframes. In fact it's better if you do so. Longer timeframes are good for spotting tradeable markets while shorter timeframes show overbought / oversold zones)
I have also added option to choose between 4 different moving averages, but in my opinion RMA works the best.
Feel free to share some feedback, I would really appreciate it.
Sincerely,
Beefmaster
[Stuppieeeeeee] - Multiple vertical timeframes linesEnhance your trading experience with this intuitive indicator that displays vertical lines on your chart to mark the start of new bars in higher timeframes. Whether you're analyzing on a 5-minute chart or any other lower timeframe, this tool helps you visualize when significant periods begin on larger scales like hourly, daily, or even monthly charts.
Key Features:
Multiple Timeframes Supported: Choose from 5 minutes, 15 minutes, 1 hour, 4 hours, 12 hours, daily, weekly, and monthly timeframes to display vertical lines.
Customizable Appearance: Personalize each set of lines by adjusting their colors, including transparency levels, line styles (solid, dashed, dotted), and widths to suit your preferences and enhance visibility.
Automatic Visibility Management: The indicator intelligently hides lines for timeframes that are equal to or lower than your current chart timeframe, keeping your chart clean and focused.
Future Projection: Not only does it mark the start of current higher timeframe bars, but it also projects lines into the near future. This feature allows you to anticipate upcoming significant time intervals, aiding in better planning and decision-making.
Layer Control: You have the ability to control which lines appear above others. By adjusting the drawing order and using transparency settings, you ensure that all important lines are visible without cluttering your chart.
Benefits:
Enhanced Multi-Timeframe Analysis: Quickly identify when higher timeframe bars start while analyzing lower timeframe charts, helping you align your trades with significant market movements.
Improved Market Structure Understanding: Visual cues from the vertical lines aid in recognizing patterns and trends that span across different timeframes.
Strategic Planning: Anticipate key time intervals with future projection lines, allowing you to prepare for potential market shifts.
How to Use:
Apply the Indicator:
Add the indicator to your TradingView chart as you would with any other tool.
It's most effective when used on lower timeframe charts (like 5-minute or 15-minute charts) to display lines from higher timeframes.
Customize Settings:
Open the indicator's settings panel.
For each timeframe, adjust the line color, style, width, and transparency to your liking.
Set the transparency to allow underlying lines to show through if desired.
Interpret the Lines:
Vertical lines will appear at the start of new bars for the higher timeframes you've selected.
Use these visual markers to inform your entry and exit points, aligning them with larger market movements.
Pay attention to future lines to anticipate upcoming periods of interest.
Notes:
Performance Considerations: Displaying a large number of lines may impact chart performance. If you notice any lag, consider reducing the number of active timeframes or increasing line transparency.
TradingView Limitations: Be aware that TradingView limits the number of drawing objects on a chart. The indicator is designed to manage this, but extremely long timeframes or high bar counts might affect its operation.
STRATEGY Fibonacci Levels with High/Low Criteria - AYNET
Here is an explanation of the Fibonacci Levels Strategy with High/Low Criteria script:
Overview
This strategy combines Fibonacci retracement levels with high/low criteria to generate buy and sell signals based on price crossing specific thresholds. It utilizes higher timeframe (HTF) candlesticks and user-defined lookback periods for high/low levels.
Key Features
Higher Timeframe Integration:
The script calculates the open, high, low, and close values of the higher timeframe (HTF) candlestick.
Users can choose to calculate levels based on the current or the last HTF candle.
Fibonacci Levels:
Fibonacci retracement levels are dynamically calculated based on the HTF candlestick's range (high - low).
Users can customize the levels (0.000, 0.236, 0.382, 0.500, 0.618, 0.786, 1.000).
High/Low Lookback Criteria:
The script evaluates the highest high and lowest low over user-defined lookback periods.
These levels are plotted on the chart for visual reference.
Trade Signals:
Long Signal: Triggered when the close price crosses above both:
The lowest price criteria (lookback period).
The Fibonacci level 3 (default: 0.5).
Short Signal: Triggered when the close price crosses below both:
The highest price criteria (lookback period).
The Fibonacci level 3 (default: 0.5).
Visualization:
Plots Fibonacci levels and high/low criteria on the chart for easy interpretation.
Inputs
Higher Timeframe:
Users can select the timeframe (default: Daily) for the HTF candlestick.
Option to calculate based on the current or last HTF candle.
Lookback Periods:
lowestLookback: Number of bars for the lowest low calculation (default: 20).
highestLookback: Number of bars for the highest high calculation (default: 10).
Fibonacci Levels:
Fully customizable Fibonacci levels ranging from 0.000 to 1.000.
Visualization
Fibonacci Levels:
Plots six customizable Fibonacci levels with distinct colors and transparency.
High/Low Criteria:
Plots the highest and lowest levels based on the lookback periods as reference lines.
Trading Logic
Long Condition:
Price must close above:
The lowest price criteria (lowcriteria).
The Fibonacci level 3 (50% retracement).
Short Condition:
Price must close below:
The highest price criteria (highcriteria).
The Fibonacci level 3 (50% retracement).
Use Case
Trend Reversal Strategy:
Combines Fibonacci retracement with recent high/low criteria to identify potential reversal or breakout points.
Custom Timeframe Analysis:
Incorporates higher timeframe data for multi-timeframe trading strategies.
Multi-LTF ATR Trailing Stop - AYNETSimple Explanation of the Code
This Pine Script code implements a multi-timeframe ATR-based trailing stop indicator. It calculates and plots the trailing stop lines for up to six configurable timeframes. Users can enable or disable specific timeframes, and each trailing stop line is color-coded and labeled with the corresponding timeframe (e.g., "15m", "1H").
Key Features of the Code
Multi-Timeframe Support:
The script calculates trailing stops for six different timeframes, such as 15 minutes, 1 hour, 1 day, etc.
User Configurations:
The user can:
Select timeframes for each trailing stop (e.g., "15m", "1H").
Enable or disable each timeframe using checkboxes.
Adjust the ATR period and multiplier to customize the trailing stop calculation.
Color-Coded Lines:
Each timeframe's trailing stop is plotted with a unique color for easy distinction.
Labels for Timeframes:
Labels at the end of the lines indicate the timeframe of each trailing stop (e.g., "15m", "1H").
Summary
This code is a multi-timeframe ATR trailing stop tool that helps traders visualize and analyze trailing stops across multiple timeframes. It is customizable, dynamic, and visually intuitive, making it ideal for both trend-following and stop-loss management.
