Daily Open LineIndicator Goal/Objective:
This is a Simple Code to show Daily Open Level in chart
This script plots a circle at the open price of the current day on the chart.
It marks the first bar's open price of each new trading day and
keeps the same value for the rest of the day until a new trading day begins.
It is only for analysis purpose only.
it is not a new indicator and can be replica of any other persons indicator.
The purpose of making indicator as an individual indicator is only for easiness.
Support and Resistance
Onky's DikFat Supreme Supply and Demand Onky's DikFat Supreme Supply and Demand is an essential tool for traders looking to harness the power of Supply and Demand Trading , a strategy based on the fundamental market principle that prices increase when demand exceeds supply and decrease when supply surpasses demand. This indicator helps you pinpoint key Supply and Demand Zones on the chart, acting as high-probability areas for potential market reversals.
Introduction to Supply and Demand Trading
Supply and demand trading is one of the most powerful approaches used by traders across all financial markets, from stocks to forex to commodities. It works on the idea that prices will naturally rise when there is more demand than supply, and fall when there is more supply than demand. Understanding where these zones lie on the chart is critical for making profitable trades. By identifying key support and resistance levels driven by these forces, traders can anticipate price movements with high accuracy.
Benefits of Using Supply & Demand Trading:
Simple Trading Approach : Focus on market structure rather than complex indicators.
High-Probability Trading Setups : Recognize zones where price is likely to reverse.
Minimal Indicators Required : The strategy works on pure price action.
Works Across All Markets : Supply and demand principles apply to stocks, forex, and commodities.
High Accuracy : When implemented correctly, it offers a high degree of precision.
Whether you are just starting or looking to refine your strategy, understanding how to identify supply and demand zones can greatly improve your trading decisions. Here’s how you can begin:
Step 1: Identify Supply and Demand Zones
Before entering trades, it's essential to first identify the Supply and Demand Zones on your chart. These zones act as key support and resistance levels where price is likely to reverse.
Supply Zone : This represents an area where selling pressure exceeds buying pressure, causing the price to drop.
Demand Zone : This marks an area where buying pressure exceeds selling pressure, driving the price upwards.
These zones are crucial for spotting potential turning points in the market. Using Onky's DikFat Supreme Supply and Demand indicator, supply and demand zones are automatically detected, helping you to identify these key levels with ease. The indicator highlights these zones with specific color coding, allowing you to quickly see where price might reverse based on historical price action.
Step 2: Confirm Your Entry and Exit
Once you've identified the supply and demand zones, confirmation is key before entering any trades.
Entry Confirmation :
Look for additional technical indicators and patterns that signal a strong trade setup:
Candlestick Patterns : Bullish engulfing, Piercing Line, and other reversal patterns.
Chart Patterns : Double bottom, Head and Shoulders, and other formations that suggest a market shift.
Momentum Indicators : Use tools like MACD and RSI to confirm the strength of the trend.
Exit Confirmation :
Plan your exits with discipline to maximize your profits and minimize losses:
Stop Loss : Always place stop losses just outside of the supply or demand zone.
Exit Strategies :
Close part of the position at 2x risk and move stop loss to breakeven.
Trail stops below the previous support or resistance levels.
Close the full position using reversal candlestick patterns.
Step 3: Use Effective Risk Management
Incorporating effective Risk Management practices is essential for long-term success in supply and demand trading. Even with a high-probability edge, managing your risk ensures that you protect your capital and make more informed decisions.
Risk Management Best Practices :
Risk 1%-3% Per Trade : For a $10,000 account, risk only $100-$300 per trade.
Position Sizing : Stick to position sizes appropriate for your account size to manage risk effectively.
Set Stop Loss Orders : Always manage your risk with clearly defined stop losses.
Control Emotions : Avoid overtrading, revenge trading, and excessive confidence. Stick to your plan.
By combining supply and demand zones with solid risk management, you can confidently trade the markets and grow your account over time.
Start Applying Supply and Demand
Now that you understand the basics, you can begin applying Supply and Demand trading using the Onky's DikFat Supreme Supply and Demand indicator to detect key zones and high-probability setups. Here’s how to start:
Identify Fresh Supply and Demand Levels : Use the indicator to automatically find the most relevant zones.
Confirm Setups with Additional Signals : Use candlestick patterns, momentum indicators, and chart patterns for entry confirmation.
Manage Risk on Every Trade : Always use proper risk management to ensure you’re protecting your capital.
As you become more proficient in identifying and trading these zones, you will enhance your trading strategy and improve your consistency. Implementing these practices early on will help you grow as a trader and achieve long-term success.
Additional Resources
Price Action and Supply and Demand : A deeper dive into how price action complements supply and demand analysis.
Supply and Demand Trading - The Ultimate Guide : A comprehensive guide to mastering supply and demand trading techniques.
Advanced Supply and Demand Zones : Learn to identify more complex supply and demand zones for greater trading precision.
With the right education, dedication, and a focus on proper risk management, you can successfully trade based on supply and demand principles, no matter your experience level.
DCA Historical References 1.0📈 DCA Historical References 1.0: Supply-Demand/Negative-Positive Zones & Trend Visualization 📊
🔍 Overview:
"DCA Historical References 1.0" is a powerful trading/investing indicator tailored for traders seeking precision in identifying critical market zones, tracking momentum shifts, and projecting future pivot points. By dynamically analyzing supply-demand imbalances, detecting key pivot points, and leveraging historical data, this tool provides actionable insights for navigating market trends across any timeframe.
Whether you’re scalping, swing trading, or investing, this indicator can be usefull to your trading/investing style, highlighting high-probability areas for entries and exits.
✨ Key Features:
1️⃣ Dynamic Zone Analysis:
Extreme Positive Zones: Identify regions where price moves have historically reached their upper limits, indicating potential trend exhaustion or reversal opportunities.
Extreme Negative Zones: Highlight areas where price movements have historically reached their lower extremes, marking potential accumulation points or trend shifts.
These zones are dynamically calculated based on historical price behavior and advanced statistical techniques.
They evolve with live market conditions, offering real-time insights into potential turning points while maintaining consistency across multiple timeframes.
2️⃣ Advanced Pivot Analysis with Projections:
Tracks Higher Highs (HH), Lower Lows (LL), Lower Highs (LH), and Higher Lows (HL) to map market trends and reversals.
Uses historical probabilities to assess the significance of pivots and predict future price behavior.
Next Pivot Projections: Anticipates future pivot levels based on historical averages for:
Price Ratios: Calculated from prior pivot movements.
Bar Counts: Estimations of the timeframe for the next pivot.
This system provides a clear framework for understanding trend direction, potential reversals, and high-probability opportunities.
3️⃣ Daily High/Low Reference Lines:
Automatically plots daily high and low lines, extended forward for actionable insights.
Includes labeled markers (D/H and D/L) for quick reference to key intraday price levels.
These lines align trades with important supply-demand zones, enabling more precise decision-making.
4️⃣ Momentum Visualization with Dynamic Candle Coloring:
Green Candles: Indicate strong upward momentum driven by demand.
Red Candles: Reflect downward momentum fueled by supply dominance.
Yellow Candles: Highlight potential trend reversals as momentum stabilizes.
Aqua Candles: Mark weakening trends or consolidation phases.
This intuitive feedback simplifies market conditions, helping traders act with confidence.
5️⃣ Timeframe-Specific Scaling:
Automatically adjusts calculations to match the selected timeframe:
Daily Charts: Capture intraday dynamics for precision trading/investing.
Weekly Charts: Highlight medium-term trends for swing strategies.
Monthly Charts: Focus on long-term market behavior for investors.
This feature ensures relevant and accurate analysis for any trading/investing style.
6️⃣ Persistent Historical Context for Deeper Insights:
Retains lines and labels for extreme zones and pivots (S/P, E/P, S/N, E/N), preserving historical context for strategic planning.
Tracks historical averages for pivot points, including price ratios and bar counts, aiding in next pivot projections.
🌊 Part of the DCA Suite:
"DCA Historical References 1.0" integrates seamlessly with:
DCA Alpha 1.0 Strategy: Enhances market insights by sharing the same dynamic zone analysis, enabling precise trend confirmation.
DCA Fundamentals 1.0: Complements this indicator by adding foundational market insights, creating a holistic framework for informed decision-making.
Together, these tools form a comprehensive trading/investing system, enabling you to analyze and act with clarity.
🌟 Why It’s Unique:
"DCA Historical References 1.0" introduces a new dimension of market analysis:
Dynamic Zone Analysis: Highlights critical supply-demand/support-resistance/negative-positive zone imbalances in real-time.
Actionable Pivot Insights: Tracks and visualizes key market turning points with statistical reliability, while projecting potential future pivot zones.
Versatility: Adapts seamlessly across all timeframes, making it suitable for any trading/investing strategy.
🛠️ How to Use:
Spot Imbalances: Use extreme positive and negative zones to pinpoint areas of interest.
Confirm Trends and Reversals: Leverage pivot detection and projections to align trades with market movements.
Visualize Momentum: Rely on dynamic candle colors for instant sentiment analysis.
Plan Entries and Exits: Utilize daily high/low levels and historical context for precise trade execution.
💡 Why Traders Choose This Tool:
Clear and Intuitive Visuals: Simplifies complex market dynamics with actionable insights.
Reliable Analysis: Combines real-time adjustments with historical context to provide a robust analysis framework.
Timeframe Adaptability: Works seamlessly across all chart intervals, adapting to short-term volatility and long-term trends alike.
"DCA Historical References 1.0" delivers unparalleled clarity and precision by combining supply-demand/support-resistance/negative-positive zone analysis, pivot tracking with projections, and momentum visualization into one comprehensive tool. Whether you’re a beginner or a seasoned professional, this indicator empowers you to make informed and confident trading/investing decisions.
Berserker Dynamic Range CAPITALCOM:US30
"BERSERKER DYNAMIC RANGE"
This advanced script is designed to optimize intraday analysis by providing a precise and dynamic visualization of price ranges during key market sessions, such as New York and London. By integrating fundamental tools from my strategy, such as the Gaussian Moving Average (GMA) and the Structure Tracker, this script offers a structured way to identify trends, consolidations, and market expansions, enabling informed decision-making. Through a clear representation of liquidity zones and key levels, the trader can more efficiently adjust their approach to capture opportunities within the most liquid and high-volatility sessions.
Main Features:
1. Dynamic Session Range Visualization:
This script plots the price ranges for the New York (0930-1130) and London (0100-0600) sessions, with flexible options to customize session timings according to the trader's needs.
Customizable session ranges: Each session is represented with a box showing the price range between the session's high and low. The colors and transparency of these ranges are fully configurable, allowing the trader to tailor them to their strategy.
Visual dividers between sessions and days are automatically added, making it easy to clearly differentiate between the different stages of the trading day, helping in planning trades based on session transitions.
2. Gaussian Moving Average (GMA):
The long-period GMA is included to offer a smoothed view of price action. Its main function is to detect long-term trends, identifying consolidation or expansion areas in the market.
GMA application: This indicator serves as a key reference for traders seeking dynamic support and resistance points, with a strong focus on aligning prices with the underlying trend.
The GMA is fully adjustable in terms of length, allowing traders to customize the moving average to better suit the specific behavior of the asset.
3. Market Structure Tracker:
The Structure Tracker is a critical tool for understanding market dynamics. This tracker marks and follows highs and lows during sessions, making it easier to identify the market structure in real-time.
Dynamic structure: Through the tracker, the trader can see how price ranges develop within the sessions and adjust their strategy according to price evolution. Changes in structure can indicate possible reversal or continuation points, providing an advantage in anticipating key moves.
4. Advanced Technical Indicators:
The script includes a set of key technical indicators for deeper analysis: EMAs of 15, 50, and 200 periods, along with a VWMA (Volume Weighted Moving Average) of 250 periods. These indicators provide an integrated view of market trends across short, medium, and long-term timeframes.
The VWMA and EMAs work synergistically to provide more accurate entry and exit signals, enhancing the reliability of trading decisions.
5. Flexible and Customizable Settings:
The trader has full control over the visual elements of the script, including range area transparency, session contour visualization, and the inclusion of session labels.
Dividers between sessions and days provide a clear temporal framework, helping to organize trades and align trading activity with the specific fluctuations of each session.
With a variety of customization options, the trader can fully adjust the appearance of the chart to fit their visual preferences, creating a more intuitive analysis experience.
Key Benefits of the Script:
Trading Strategy Optimization: By integrating the New York and London sessions, the trader can focus on the most relevant ranges and make more informed decisions based on key session activity.
Trend and Reversal Analysis: With the use of the GMA and Structure Tracker, the trader can identify consolidation or expansion zones, support/resistance points, and the overall market structure, facilitating the recognition of potential price reversals.
Total Customization: With options to modify colors, transparency, and session range visualization, this script adapts to any trading style, offering a fully tailored experience for the user.
This script is designed for serious traders seeking to gain a competitive edge through a clear and precise market view. With advanced tools like the GMA and Structure Tracker, combined with a customizable session range system, it becomes a powerful tool for executing high-quality intraday trading strategies.
Acknowledgments: This work has been inspired and enhanced with some ideas and public code from LuxAlgo, whose contributions have been valuable in optimizing this script.
Dynamic Levels with Labels Resistance and SupportThe script allows you to set price level(s) for a given ticker. Here is a list of the features:
Up to 10 levels
Levels are dynamic: line start at the beginning of the session and move as the session goes.
Label includes "R" for resistance level and "S" for support level. The price level is next to R or S. It is possible to change the color type and size of the array
If the price goes over a R array, line will turn green or any color you choose. If the price goes below a S array, line will turn red or any color you choose.
You can adjust the position of the Label
It is possible to add or remove the label
The main goal here is to be able to keep the array moving during the day and days following without to have to adjust the array manually (unless you use a horizontal array, which tend to make chart heavy especially on longer timeframes.
We cannot keep the indicator for each ticker so either you need to create your levels for one ticker and keep the window opened. Else, you can save your indicators along with this one and call it with the name of the ticker so you know for which stock it is.
Any comments for improvements are welcome. I am not a professional coder, I used ChatGPT and a bit of my brain ;-)...
Thanks you!
[GrandAlgo] Supply Demand Pressure CloudThe Supply Demand Pressure Cloud takes traditional supply and demand analysis to the next level by incorporating a dynamic pressure cloud. This cloud visually represents the intensity of market activity within supply and demand zones, offering traders an edge in identifying key levels of buying and selling pressure. Unlike conventional supply and demand indicators, the Pressure Cloud provides enhanced insights into market dynamics by focusing on the buildup of pressure within these zones.
In addition to pressure analysis, the indicator allows customization of zone strength—Major, Intermediate, or Minor—enabling users to adapt the tool to their trading strategy and preferred levels of significance.
Key Features:
Unique Pressure Cloud Visualization:
Red Supply Clouds: Indicate areas with significant selling pressure, often acting as resistance.
Green Demand Clouds: Indicate areas with significant buying pressure, often acting as support.
The cloud shading dynamically represents the buildup of market pressure, providing a visual edge that simple supply/demand indicators lack.
Customizable Pressure Levels:
Choose between Mild, Moderate, or Strong pressure levels to highlight zones with varying levels of market intensity.
Adjustable Zone Strength:
Select between Major, Intermediate, and Minor zones to focus on the levels most relevant to your trading style.
Real-Time Adaptability:
Automatically adjusts to reflect the most current market conditions, ensuring the zones are always relevant.
Clear and Intuitive Visuals:
Gradual color shading for the Pressure Cloud enhances clarity and usability, making it easy to spot key levels at a glance.
Comprehensive Market Coverage:
Works seamlessly across multiple markets, including Forex, crypto, stocks, and commodities.
Why Choose Supply Demand Pressure Cloud?
While traditional supply and demand indicators only highlight zones, the Pressure Cloud adds another layer of actionable insight by visually representing the intensity of pressure within these areas. This feature allows traders to:
Anticipate potential reversals with greater accuracy.
Prioritize zones with higher market activity.
Stay ahead of significant price movements.
The Pressure Cloud sets this indicator apart, making it an essential tool for traders who want a deeper understanding of market dynamics.
How It Works:
The Supply Demand Pressure Cloud identifies supply and demand zones by analyzing historical price data. It then overlays a Pressure Cloud within these zones, representing the intensity of pressure. Users can further refine the analysis by:
Selecting Pressure Levels:
🔹 Mild: Highlights pressure clouds with lower intensity.
🔹 Moderate: Displays pressure clouds with medium intensity.
🔹 Strong: Focuses on pressure clouds with the highest intensity for precise trading insights.decisions.
Adjusting Zone Strength:
🔹 Major: High-impact zones that attract significant market attention.
🔹 Intermediate: Medium-significance levels for additional context.
🔹 Minor: Lesser impact zones for detailed analysis.
The image showcases the Supply Demand Pressure Cloud in action, dynamically highlighting key supply and demand zones on the chart. These zones, combined with the pressure clouds, provide a clear visualization of potential areas of market interest:
Supply Zone (Red): Represents areas of concentrated selling pressure. The overlayed Supply Cloud (red gradient) highlights the buildup of supply pressure within the zone, offering insights into potential resistance areas.
Demand Zone (Green): Represents areas of concentrated buying pressure. The overlayed Demand Cloud (green gradient) highlights the buildup of demand pressure, indicating potential support zones.
This powerful combination of zones and pressure clouds equips traders with actionable insights to identify market turning points, reversals, and areas of consolidation. Let the Supply Demand Pressure Cloud be your guide to navigating market dynamics.
Disclaimer:
This indicator is a technical analysis tool designed to assist traders by providing insights into market conditions. It does not guarantee future price movements or trading outcomes and should not be relied upon as a sole decision-making tool. The effectiveness of this indicator depends on its application, which requires your trading knowledge, experience, and judgment.
Trading involves significant financial risk, including the potential loss of capital. Past performance of any tool or indicator does not guarantee future results. This script is intended for educational and informational purposes only and does not constitute financial or investment advice. Users are strongly encouraged to perform their own analysis and consult with a qualified financial professional before making trading decisions.
VWAP Fibonacci Bands (Zeiierman)█ Overview
The VWAP Fibonacci Bands is a sophisticated yet user-friendly indicator designed to assist traders in visualizing market trends, volatility, and potential support/resistance levels. Developed by Zeiierman, this tool integrates the MIDAS (Market Interpretation Data Analysis System) methodology with Standard Deviation Bands and user-defined Fibonacci levels to provide a comprehensive market analysis framework.
This indicator is built for traders who want a dynamic and customizable approach to understanding market movements, offering features that adapt to varying market conditions. Whether you're a scalper, swing trader, or long-term investor.
█ How It Works
⚪ Anchor Point System
The indicator begins its calculations based on an anchor point, which can be set to:
A specific date for historical analysis or alignment with significant market events.
A timeframe-based reset, dynamically restarting calculations at the beginning of each selected period (e.g., daily, weekly, or monthly).
This dual-anchor method ensures flexibility, allowing the indicator to align with various trading strategies.
⚪ MIDAS Calculation
The MIDAS calculation is central to this indicator. It uses cumulative price and volume data to compute a volume-weighted average price (VWAP), offering a trendline that reflects the true value weighted by trading activity.
⚪ Standard Deviation Bands
The upper and lower bands are calculated using the standard deviation of price movements around the MIDAS line.
⚪ Fibonacci Levels
User-defined Fibonacci ratios are used to plot additional support and resistance levels between the bands. These levels provide visual cues for potential price reversals or trend continuations.
█ How to Use
⚪ Trend Identification
Uptrend: The price remains above the MIDAS line.
Downtrend: The price stays below the MIDAS line and aligns with the lower bands.
⚪ Support and Resistance
The upper and lower bands act as support and resistance levels.
Fibonacci levels provide intermediate zones for potential price reversals.
⚪ Volatility Analysis
Wider bands indicate periods of high volatility.
Narrower bands suggest low-volatility conditions, often preceding breakouts.
⚪ Overbought/Oversold Conditions
Look for the price beyond the upper or lower bands to identify extreme conditions.
█ Settings
Set Anchor Method
Anchor Method: Choose between Timeframe or Date to define the starting point of calculations.
Anchor Timeframe: For Timeframe mode, specify the interval (e.g., Daily, Weekly).
Anchor Date: For Date mode, set the exact starting date for historical alignment.
Set Std Dev Multiplier
Controls the width of the bands:
Higher values widen the bands, filtering out minor fluctuations.
Lower values tighten the bands for more responsive analysis.
Set Fibonacci Levels
Define custom Fibonacci ratios (e.g., 0.236, 0.382) to plot intermediate levels between the bands.
█ Tips for Fine-Tuning
⚪ For Trend Trading:
Use higher Std Dev Multipliers to focus on long-term trends and avoid noise. Adjust Anchor Timeframe to Weekly or Monthly for broader trend analysis.
⚪ For Reversal Trading:
Tighten the bands with a lower Std Dev Multiplier.
Use shorter anchor timeframes for intraday reversals (e.g., Hourly).
⚪ For Volatile Markets:
Increase the Std Dev Multiplier to accommodate wider price swings.
⚪ For Quiet Markets:
Decrease the Std Dev Multiplier to highlight smaller fluctuations.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
EMA Gap+EMA's+Triple RSIEMA 4/5/10/20/50/100/200
3 RSI's
Support Resistance zones
Stochastic-RSI
Swing High/Low indication
Simple Moving Averages(20,50,100)This indicator combines 3 simple moving avgs.
Simple Moving Averages(20,50,100)
Mother morning Range by Ayush ShrivastavMother Range is a dynamic Indicator which works for analysing the morning sentiment or direction of the market movement. If it gives any entry setup on Mother resistance, support orr average it gives proper entry and you can add fib to predict the average targets after the market starts the momentum. If you can predict the Range of the day as Narrow or broader then you can create respective strategy as per your RR rules.
[GrandAlgo] Liquidity HeatmapThe Liquidity Heatmap is a unique indicator designed to identify and highlight zones where price is likely to react based on liquidity dynamics. Unlike tools that analyze volume across all price levels, this indicator focuses specifically on liquidity concentrated around potential reversal zones. By evaluating price action and volume at these critical levels, it identifies areas of heightened interest for traders.
Key Features:
Dynamic Liquidity Zones:
Automatically calculates liquidity zones based on historical price activity, ensuring real-time relevance.
Volume-Based or Candle Interaction Analysis:
Choose between volume-based evaluation to focus on order flow or candle-based interaction for a broader perspective.
Customizable Percentile Threshold:
Filter zones based on their significance by setting a threshold to display only the top liquidity areas.
Lookback Period Control:
Define how many candles the indicator should analyze, allowing you to focus on short-term or long-term liquidity levels.
Color-Coded Visuals:
Liquidity zones are displayed using gradients, with green representing potential bullish zones (below price) and red representing potential bearish zones (above price). Stronger zones are indicated with darker colors.
How It Works:
The Liquidity Heatmap divides the price range into multiple levels, evaluating each level for interaction with historical price data. Liquidity zones are calculated based on:
Volume Concentration: When enabled, the indicator evaluates zones using historical volume, highlighting areas with significant order flow.
Candle Interactions: When volume-based analysis is disabled, the indicator calculates the number of candles interacting with each zone to determine its importance.
Zones that meet the user-defined percentile threshold are highlighted on the chart. Color gradients indicate the strength of each zone, allowing traders to prioritize the most significant areas. Real-time alerts notify users when the price touches these zones, providing actionable insights.
The image illustrates the volume-based analysis feature of the Liquidity Heatmap indicator. Liquidity zones are dynamically highlighted with intuitive color gradients—green for bullish volume and red for bearish volume—providing a clear visual representation of areas with concentrated liquidity at potential reversal points. This feature helps traders focus on zones with significant market activity, enhancing their decision-making process.
Disclaimer
This indicator is a technical analysis tool designed to assist traders by providing insights into market conditions. It does not guarantee future price movements or trading outcomes and should not be relied upon as a sole decision-making tool. The effectiveness of this indicator depends on its application, which requires your trading knowledge, experience, and judgment.
Trading involves significant financial risk, including the potential loss of capital. Past performance of any tool or indicator does not guarantee future results. This script is intended for educational and informational purposes only and does not constitute financial or investment advice. Users are strongly encouraged to perform their own analysis and consult with a qualified financial professional before making trading decisions.
Multi-Band Comparison (Uptrend)Multi-Band Comparison
Overview:
The Multi-Band Comparison indicator is engineered to reveal critical levels of support and resistance in strong uptrends. In a healthy upward market, the price action will adhere closely to the 95th percentile line (the Upper Quantile Band), effectively “riding” it. This indicator combines a modified Bollinger Band (set at one standard deviation), quantile analysis (95% and 5% levels), and power‑law math to display a dynamic picture of market structure—highlighting a “golden channel” and robust support areas.
Key Components & Calculations:
The Golden Channel: Upper Bollinger Band & Upper Std Dev Band of the Upper Quantile
Upper Bollinger Band:
Calculation:
boll_upper=SMA(close,length)+(boll_mult×stdev)
boll_upper=SMA(close,length)+(boll_mult×stdev) Here, the 20-period SMA is used along with one standard deviation of the close, where the multiplier (boll_mult) is 1.0.
Role in an Uptrend:
In a healthy uptrend, price rides near the 95th percentile line. When price crosses above this Upper Bollinger Band, it confirms strong bullish momentum.
Upper Std Dev Band of the Upper Quantile (95th Percentile) Band:
Calculation:
quant_upper_std_up=quant_upper+stdev
quant_upper_std_up=quant_upper+stdev The Upper Quantile Band, quant_upperquant_upper, is calculated as the 95th percentile of recent price data. Adding one standard deviation creates an extension that accounts for normal volatility around this extreme level.
The Golden Channel:
When the price crosses above the Upper Bollinger Band, the Upper Std Dev Band of the Upper Quantile immediately shifts to gold (yellow) and remains gold until price falls below the Bollinger level. Together, these two lines form the “golden channel”—a visual hallmark of a healthy uptrend where the price reliably hugs the 95th percentile level.
Upper Power‑Law Band
Calculation:
The Upper Power‑Law Band is derived in two steps:
Determine the Extreme Return Factor:
power_upper=Percentile(returns,95%)
power_upper=Percentile(returns,95%) where returns are computed as:
returns=closeclose −1.
returns=close close−1.
Scale the Current Price:
power_upper_band=close×(1+power_upper)
power_upper_band=close×(1+power_upper)
Rationale and Correlation:
By focusing on the upper 5% of returns (reflecting “fat tails”), the Upper Power‑Law Band captures extreme but statistically expected movements. In an uptrend, its value often converges with the Upper Std Dev Band of the Upper Quantile because both measures reflect heightened volatility and extreme price levels. When the Upper Power‑Law Band exceeds the Upper Std Dev Band, it can signal a temporary overextension.
Upper Quantile Band (95% Percentile)
Calculation:
quant_upper=Percentile(price,95%)
quant_upper=Percentile(price,95%) This level represents where 95% of past price data falls below, and in a robust uptrend the price action practically rides this line.
Color Logic:
Its color shifts from a neutral (blackish) tone to a vibrant, bullish hue when the Upper Power‑Law Band crosses above it—signaling extra strength in the trend.
Lower Quantile and Its Support
Lower Quantile Band (5% Percentile):
Calculation:
quant_lower=Percentile(price,5%)
quant_lower=Percentile(price,5%)
Behavior:
In a healthy uptrend, price remains well above the Lower Quantile Band. It turns red only when price touches or crosses it, serving as a warning signal. Under normal conditions it remains bright green, indicating the market is not nearing these extreme lows.
Lower Std Dev Band of the Lower Quantile:
This line is calculated by subtracting one standard deviation from quant_lowerquant_lower and typically serves as absolute support in nearly all conditions (except during gap or near-gap moves). Its consistent role as support provides traders with a robust level to monitor.
How to Use the Indicator:
Golden Channel and Trend Confirmation:
As price rides the Upper Quantile (95th percentile) perfectly in a healthy uptrend, the Upper Bollinger Band (1 stdev above SMA) and the Upper Std Dev Band of the Upper Quantile form a “golden channel” once price crosses above the Bollinger level. When this occurs, the Upper Std Dev Band remains gold until price dips back below the Bollinger Band. This visual cue reinforces trend strength.
Power‑Law Insights:
The Upper Power‑Law Band, which is based on extreme (95th percentile) returns, tends to align with the Upper Std Dev Band. This convergence reinforces that extreme, yet statistically expected, price moves are occurring—indicating that even though the price rides the 95th percentile, it can only stretch so far before a correction or consolidation.
Support Indicators:
Primary and Secondary Support in Uptrends:
The Upper Bollinger Band and the Lower Std Dev Band of the Upper Quantile act as support zones for minor retracements in the uptrend.
Absolute Support:
The Lower Std Dev Band of the Lower Quantile serves as an almost invariable support area under most market conditions.
Conclusion:
The Multi-Band Comparison indicator unifies advanced statistical techniques to offer a clear view of uptrend structure. In a healthy bull market, price action rides the 95th percentile line with precision, and when the Upper Bollinger Band is breached, the corresponding Upper Std Dev Band turns gold to form a “golden channel.” This, combined with the Power‑Law analysis that captures extreme moves, and the robust lower support levels, provides traders with powerful, multi-dimensional insights for managing entries, exits, and risk.
Disclaimer:
Trading involves risk. This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
STRX - Quartile LevelsQuartile Levels is an indicator that automatically draws a series of horizontal price levels based on a set of predefined spacing values. Using the dropdown menu, you can select your preferred distance (ranging from 0.0000025 up to 2500) to generate these levels, allowing quick adaptation to different markets (crypto, forex, stocks, etc.).
The indicator uses up to a maximum of 499 lines to comply with TradingView limits and avoid potential slowdowns or errors. The levels are colored following a four-step cyclical pattern, making it easier to identify different groups of levels.
Key Features
Spacing selection: Choose one of the predefined spacing values to adapt the indicator to the market you’re analyzing.
Automatic line management: The indicator draws up to 499 lines, maintaining performance and adhering to TradingView limitations.
Closed script: The source code is not public; the script is available to everyone for viewing upon request only.
How to Use It
Add the “Quartile Levels” indicator to your chart: From the Indicators menu, look for Quartile Levels and apply it to your chart.
Select the spacing: In the settings, pick the desired value from the dropdown menu (e.g., 0.25, 2.5, 25, …).
Observe the levels: The indicator will automatically draw horizontal levels based on your setup, helping you identify potential support and resistance zones.
Warnings and Notes
Educational use: This indicator is provided for informational and educational purposes only. It does not represent financial advice in any way.
Always verify: Before making any trading decision, conduct your own analysis and, if necessary, consult a licensed professional.
Past performance: Past performance of any strategy or indicator does not guarantee future results.
For more information or to request access to this script, please feel free to contact me directly. I hope you find this indicator helpful for your analysis!
Predictive Ranges, SMA, RSI strategyThis strategy combines three powerful technical indicators: Predictive Ranges, Simple Moving Average (SMA), and Relative Strength Index (RSI), to help identify potential market entry and exit points.
Key Features:
Predictive Ranges: The strategy utilizes predictive price levels (such as support and resistance levels) to anticipate potential price movements and possible breakouts. These levels act as critical points for making trading decisions.
SMA (Simple Moving Average): A 200-period SMA is incorporated to determine the overall market trend. The strategy trades in alignment with the direction of the SMA, taking long positions when the price is bellow the SMA and short positions when it is above. This helps ensure the strategy follows the prevailing market trend.
RSI (Relative Strength Index): The strategy uses the RSI (14-period) to gauge whether the market is overbought or oversold. A value above 70 signals that the asset may be overbought, while a value below 30 indicates that it might be oversold. These conditions are used to refine entry and exit points.
Entry & Exit Logic:
Long Entry: The strategy enters a long position when the price crosses above the predictive resistance level (UpLevel1/UpLevel2), and RSI is in the oversold region (below 30), signaling potential upward movement.
Short Entry: The strategy enters a short position when the price crosses below the predictive support level (LowLevel1/LowLevel2), and RSI is in the overbought region (above 70), signaling potential downward movement.
Exit Strategy: The exit levels are determined based on the predictive range levels (e.g., UpLevel1, UpLevel2, LowLevel1, LowLevel2), ensuring that trades are closed at optimal levels. A stop loss and take profit are also applied, based on a user-defined percentage, allowing for automated risk management.
Strategy Advantages:
Trend Following: By using SMA and predictive ranges, this strategy adapts to the prevailing market trend, enhancing its effectiveness in trending conditions.
RSI Filtering: The RSI helps avoid trades in overbought/oversold conditions, refining entry signals and improving the likelihood of success.
Customizable: Traders can adjust parameters such as stop loss, take profit, and predictive range levels, allowing them to tailor the strategy to their preferred risk tolerance and market conditions.
This strategy is designed for traders who prefer a combination of trend-following and mean-reversion techniques, with a focus on predictive market levels and essential momentum indicators to improve trade accuracy.
Fibonacci Retracement MTF/LOGIn Pine Script, there’s always a shorter way to achieve a result. As far as I can see, there isn’t an indicator among the community scripts that can produce Fibonacci Retracement levels (linear and logarithmic) as multiple time frame results based on a reference 🍺 This script, which I developed a long time ago, might serve as a starting point to fill this gap.
OVERVIEW
This indicator is a short and simple script designed to display Fibonacci Retracement levels on the chart according to user preferences, aiming to build the structure of support and resistance.
ORIGINALITY
This script:
Can calculate 'retracement' results from higher time frames.
Can recall previous time frame results using its reference parameter.
Performs calculations based on both linear and logarithmic scales.
Offers optional multipliers and appearance settings to simplify users’ tasks
CONCEPTS
Fibonacci Retracement is a technical analysis tool used to predict potential reversal points in an asset's price after a significant movement. This indicator identifies possible support and resistance levels by measuring price movements between specific points in a trend, using certain ratios derived from the Fibonacci sequence. It is based on impulsive price actions.
MECHANICS
This indicator first identifies the highest and lowest prices in the time frame specified by the user. Next, it determines the priority order of the bars where these prices occurred. Finally, it defines the trend direction. Once the trend direction is determined, the "Retracement" levels are constructed.
FUNCTIONS
The script contains two functions:
f_ret(): Generates levels based on the multiplier parameter.
f_print(): Handles the visualization by drawing the levels on the chart and positioning the labels in alignment with the levels. It utilizes parameters such as ordinate, confirmation, multiplier, and color for customization
NOTES
The starting bar for the time frame entered by the user must exist on the chart. Otherwise, the trend direction cannot be determined correctly, and the levels may be drawn inaccurately. This is also mentioned in the tooltip of the TimeFrame parameter.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
Leverage Aware Trade OptimizerWelcome to the Leverage-Aware Trade Optimizer (LATO)! I’m thrilled to have you exploring this dynamic algorithm! LATO combines advanced market oscillation tracking, leverage-aware trade optimization, and real-time market analysis to help you make smarter, more informed trading decisions. Whether you're just starting or you’re an experienced trader, LATO provides powerful tools and insights to enhance your strategies. LATO is here to support you in optimizing your trades with precision, so feel free to dive in and explore all the features. Let’s make your trading experience as effective and rewarding as possible. Safe trading!
Leverage-Aware Trade Optimizer (LATO)
Short Title: LATO
Category: Trading Tools / Technical Analysis
Overview
The Leverage-Aware Trade Optimizer (LATO) is a powerful algorithm designed to track and analyze market oscillations, identify reversal zones, and provide dynamic trading levels for optimal decision-making. With built-in risk management features, LATO enhances traders’ ability to make well-informed decisions based on a comprehensive range of market indicators, including price oscillations, probabilities, and leverage-related risks.
Key Features
Comprehensive Market Oscillation Tracking: LATO utilizes advanced indicators such as the Indexed Position Oscillator (IPO), Candle Relative Percentage (CRP), and Oscillating Range Indicator (ORI) to track price fluctuations and detect key market oscillations, providing a detailed view of price movements.
Dynamic Price Levels for Trading Decisions: The script calculates critical price levels such as WAP, WBP, XAP, and XBP. These weighted and expanded prices help identify potential support and resistance zones for accurate trade entries and exits.
Reversal Detection and Trend Identification: LATO is designed to recognize top and bottom reversal zones using user-defined thresholds (e.g., upper_reversal, lower_reversal). The algorithm signals potential trend changes with event markers such as UP, DOWN, UIP, and DIP, enabling traders to anticipate market reversals.
Risk and Leverage Mapping: By estimating liquidation levels for various leverage values (5x, 10x, 20x, etc.), LATO assists in risk management, helping traders visualize leverage exposure and optimize their trades according to risk tolerance.
Integrated Visualization and Event Labels: LATO enhances visual analysis by plotting key levels, trend lines, and event markers on the chart. Custom labels summarize critical values, including SOD (Sell Odds), BOD (Buy Odds), ORI (Oscillating Range Indicator), and PVI (Price Volatility Index), offering a quick, actionable summary for traders.
User Inputs
Orders Deviation (order_deviation): Controls the deviation for calculating trade levels.
Top Reversal (upper_reversal): Sets the threshold for the upper reversal zone.
Bottom Reversal (lower_reversal): Sets the threshold for the lower reversal zone.
How It Works
LATO tracks market oscillations through the Indexed Position Oscillator (IPO) and Candle Relative Percentage (CRP), dynamically adjusting as the market fluctuates. The algorithm then identifies key levels using weighted prices (e.g., WAP, WBP) and generates reversal signals based on defined thresholds.
Once the Leverage-Aware Trade Optimizer (LATO) is applied to a chart, it automatically calculates dynamic support and resistance levels and identifies potential buying or selling opportunities. The script also plots liquidation zones based on different leverage levels and visualizes these areas through color-coded lines.
Use Case Scenarios
Trend Reversal Detection: Identify when the market is likely to reverse based on the ORI and price action.
Dynamic Price Levels: Use the weighted price levels and trend lines to pinpoint entry/exit points.
Leverage Risk Management: Monitor liquidation levels and use them for managing risk while trading with leverage.
Oscillation Tracking: Track key oscillations for detecting overbought or oversold conditions.
Alert Setup for LATO
You can set up alerts based on the key conditions like UP, DOWN, UIP, and DIP, as well as specific market movements.
Down Trend Alert (DOWN): Alerts when there’s a downtrend, triggered by a crossover of WBP and BL5, with specific conditions for ORI and SOD.
Up Trend Alert (UP): Alerts when there’s an uptrend, triggered by a crossunder of WAP and SL5, with ORI below -0.5.
Upper Reversal Alert (UIP): Alerts when ORI crosses below the lower_reversal threshold.
Downward Reversal Alert (DIP): Alerts when ORI crosses above the upper_reversal threshold.
Conclusion
The Leverage-Aware Trade Optimizer (LATO) is a comprehensive trading tool designed for traders seeking to optimize their trade entries and exits. By combining multiple indicators, dynamic price levels, and reversal zone detection, LATO offers an advanced approach to market analysis and decision-making. Whether you’re trading with leverage or simply looking for trend confirmation, LATO provides the insights you need to maximize your trading potential.
Notes
This script is designed to be used on any time frame.
Adjust the order_deviation parameter based on the asset volatility you are trading.
The reversal thresholds (upper and lower) should be fine-tuned depending on market conditions.
First 5-Minute Premarket High/Low Break RetestDay trading method that uses the 5 minute candle high and low but trade on the 1 minute chart.
This is a break and retest trading strategy based on the market open 5 minute high and low candle.
Additional levels would be the premarket high and low plotted in blue on the chart. It's not uncommon for the 5 minute to be near the premarket high and low zone.
The break and restest of the 5 minute white lines either to the downside or upside. Once a hammer or long wick candle forms near or touching the retest of the 5 minute line that indicates an entry point.
It's best to have another confirmation for entry such as the 13 and 100 ema cross to confirm good position and risk.
This is a repetable and solid trading strategy. The indicator was created to plot on the 1 and 5 minute charts.
Key Intraday Range Analysis - K.I.R.A. The KIRA Indicator is a unique tool designed to provide traders with actionable insights by identifying and analyzing key intraday price ranges. Built upon a specialized methodology, it uses Fibonacci-derived levels anchored to significant opening ranges to generate trading levels for the day. Unlike other indicators that focus on broader trend analysis, KIRA’s approach provides precision, simplicity, and adaptability for intraday traders.
How It Works
KIRA takes the first 30-second range of the European market open and calculates Fibonacci projections derived solely from the golden ratio. These projections form potential areas of interest, such as support and resistance levels, that guide traders in their decision-making process.
By visualizing these levels directly on the chart, KIRA simplifies intraday trading, helping traders identify key reaction zones with high clarity.
Key Features:
-Clean and Readable Output: Generates easily identifiable levels directly on a clear chart to reduce visual clutter.
-Dynamic and Adaptive: Works across various assets, including indices, forex, and commodities, while maintaining reliability on lower timeframes.
How to Use
1. Set Up: Ensure your chart timeframe is aligned with intraday trading, ideally 1-minute or 5-minute intervals.
2. Monitor Levels: Observe how price reacts to the projected levels generated from the opening range.
3. Strategize: Use these levels as potential entries, exits, or areas to tighten risk management, depending on price action.
Unlike conventional indicators that reuse public domain methodologies or classic technical analysis tools, KIRA is based on a nuanced approach to anchoring Fibonacci projections. Its uniqueness lies in its precise application of golden ratio derivatives, specifically tailored to intraday price movements.
The chart accompanying this script provides a clean visualization of the KIRA levels applied to a 1-minute chart of . All outputs are directly from the KIRA script to ensure clarity and ease of use.
Turbo Futures NQThis market structure strategy for NQ Futures optimized for Electronic Trading Hours.
Entry condition identified by bearish and bullish market structure.
This strategy identifies potential breakouts and reversals based on price interaction with resistance levels. It initiates long positions when the price closes above a recent resistance level, signaling a potential breakout. Conversely, it triggers short positions when the price reaches a resistance level, anticipating a potential reversal. To manage risk and define profit targets, the strategy employs an Average True Range (ATR)-based stop-loss and take-profit mechanism, dynamically adjusting to market volatility.
Real life trading is not get rich scheme. It is continuous process that involves various steps and dedication. If you are willing to take this path please PM me to enable the strategy for you.
You can also support us by automating your trading on collective2: collective2.com
SMC breakout With EMAThis indicator is based on the breakout of the BOS and CHOCH levels at SMC method.
You can change the amount of candles of BOS or CHOCH.
This indicator also includes EMA, that you can use it for confirmation of buy or sell transaction.
Also you can use super trend features on this indicator for following your profit.
This indicator is based on the breakdown of the bass and choke points in it.
And this feature allows you to use this indicator in Forex trading as well.
Options Flavour by Raushan ShrivastavaMonthly Pivot Points :-
It calculates the monthly high, low, and close, and then computes the pivot point and three levels of support and resistance (R1, R2, R3, S1, S2, S3).
Moving Average :-
A simple moving average (SMA) with a configurable length (length_ma), which by default is set to 140 periods.
Bullish/Bearish Labels :-
Bullish condition: The close price crosses above both the moving average and the monthly pivot point.
Bearish condition: The close price crosses below both the moving average and the monthly pivot point.
Plotting :-
Monthly pivot, support, and resistance levels are plotted as circles on the chart.
The previous month's high and low are also plotted.
Bullish and bearish signals are shown with labels.
Labels on Support/Resistance Lines :-
A label "- PE" will appear on the S2 line (support level) with a green color when the bullish condition is met.
A label "- CE" will appear on the R2 line (resistance level) with a red color when the bearish condition is met.
Customisation :-
Moving Average Length: You can modify the length_ma input to adjust the period of the moving average.
DAILY ATR LEVELS AND EXPECTED MOVE LEVELSThis Pine Script code is designed to visualize ATR (Average True Range) levels and expected move levels on a chart. It provides useful inputs for customizing how these levels are displayed, such as line width, style, and color. The script is divided into several sections, each focused on a different feature:
1. User Inputs for Customization:
- Line Width and Style: Users can customize the line width, style (solid, dotted, or dashed), and color for various levels.
- Offset for Line Placement: The rightOffset input controls how far in the future the lines extend (measured in minutes).
- Show Labels: Labels can be toggled on/off for ATR levels and expected move lines, with customizable text colors.
2. ATR Levels and ATR Settings:
- The ATR length (atrLength) and the multiplier (atrMultiplier) control the calculation of ATR levels.
- The script plots ATR levels based on the daily open price, including key levels like ATR +25%, ATR +50%, etc., for both positive and negative movements.
- Line Drawing: The script dynamically creates lines for each ATR level, and the lines are customized according to the user's inputs. For each level, the line.new function is used to plot a line from the start of the day (daily open) to a point offset in the future.
- Labels: Labels are added near each ATR level to make them more identifiable, such as "ATR +25%" or "Daily Open."
3. Expected Move Calculation and Logic:
- The script calculates the expected move for the next trading session based on the previous close price and the volatility derived from the VIX (Volatility Index).
- The expected move is calculated as a percentage of the previous close and is added and subtracted from the previous close price to generate upper and lower levels.
- Volatility Adjustment: The VIX value is adjusted by the square root of 252 (the number of average trading days in a year) to calculate the daily volatility.
- Upper and Lower Lines: Lines are drawn for the expected move's upper and lower bounds, showing the potential price movement based on volatility.
4. Customizable Expected Move Lines:
- Line Style and Color: The upper and lower expected move lines can be customized in terms of width, style, and color, as specified by the user.
- Labels for Expected Move Levels: Labels are added for the upper and lower expected move lines, such as "Expected Move Upper" and "Expected Move Lower."
5. Logic for Drawing Lines:
- The script continuously evaluates whether the levels should be displayed based on the user's preferences.
- If showATRLevels or showLineEM is enabled, the script will draw the respective lines and labels on the chart.
- It uses line.new to draw the lines and label.new to position the labels at the correct levels on the chart.
6. Handling Time and Line Deletion:
- The script handles the dynamic nature of the chart by deleting previous lines (using line.delete) to avoid cluttering the chart with outdated lines.
- The time for the lines is set dynamically using the startTime and endTime variables, ensuring that lines are drawn within the correct timeframe.
Summary of Key Features:
- ATR Levels: Plots key levels of ATR, such as daily open, ATR +25%, ATR -25%, etc., with customizable colors and line styles.
- Expected Move Levels: Calculates and plots the upper and lower bounds of the expected move based on the VIX and previous close price.
- Customization Options: Users can control the appearance (line width, style, color) and whether to show labels for the ATR and expected move levels.
- Dynamic Updates: The lines and labels update dynamically throughout the trading day, adjusting based on market conditions.
Overall, this script is designed to help traders visualize volatility and potential price movement on a daily chart by providing ATR-based levels and expected move projections. It offers a high degree of customization to suit different charting preferences.
