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.
Unterstützung und Widerstand
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.
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!
Simple Moving Averages(20,50,100)This indicator combines 3 simple moving avgs.
Simple Moving Averages(20,50,100)
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.
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.
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.
EMA/SMA + Multi-Timeframe Dashboard (Vertical)20/50 ema and 200 sma
The EMA SMA Trading Indicator combines the power of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to help traders identify trends, reversals, and key entry/exit points.
Features:
Dual Moving Averages: Tracks both EMA and SMA to provide a balanced view of short-term and long-term market trends.
Customizable Periods: Allows users to set unique periods for EMA and SMA to suit their trading style and timeframe (e.g., day trading, swing trading, or investing).
Cross Alerts: Highlights EMA and SMA crossover points, which often indicate potential buy or sell signals.
Color-Coded Lines: Visual differentiation between EMA (dynamic and responsive) and SMA (smooth and lagging) for better readability.
Multi-Timeframe Compatibility: Suitable for scalping, intraday trading, and long-term analysis.
Usage:
Trend Confirmation: When the EMA is above the SMA, it signals a bullish trend; when it is below the SMA, it signals a bearish trend.
Crossover Strategy: Use crossovers as potential buy (EMA crosses above SMA) or sell (EMA crosses below SMA) signals.
Dynamic Support/Resistance: EMA can act as short-term support/resistance, while SMA represents long-term levels.
This indicator is perfect for traders who want to combine EMA's speed with SMA's stability for improved decision-making in volatile markets. Customizable alerts and visual cues make it user-friendly for beginners and experienced traders.
Make informed decisions and take your trading to the next level with the EMA SMA Trading Indicator!
OCM Quarter Point Autopilot - A Multi-Timeframe Quarter TheoryDescription:
The OCM Quarter Point Autopilot indicator automates the application of Quarters Theory across multiple timeframes and instruments. It creates a comprehensive grid of support and resistance levels based on two user-defined price points (Monthly QTPs).
Key Features:
- Automatically calculates and displays quarter points across 5 timeframes:
• Monthly (Black lines)
• Weekly (Blue lines)
• Daily (Green lines)
• 4-Hour (Red lines)
• 1-Hour (Purple lines)
- Shows both upper and lower ranges, which can be toggled on/off
- Visual hierarchy through color-coding for easy timeframe identification
- Extends lines 2 years into the past and 6 months into the future
Usage:
1. Enter two Monthly Quarter Trading Points (QTPs)
2. The indicator automatically:
- Calculates midpoints (weekly)
- Quarter points (daily)
- Eighth points (4-hour)
- Further subdivisions (1-hour)
Benefits:
- Identifies potential support/resistance levels
- Helps spot key price targets
- Works on any instrument where psychological levels matter
- Provides multiple timeframe analysis in one view
Best suited for traders who:
- Follow multi-timeframe analysis
- Trade using support/resistance levels
- Want to identify potential price targets
- Need structured price levels for entries/exits
The indicator combines the systematic approach of Quarters Theory with automated calculation and visualization, making it easier to identify key price levels across multiple timeframes.
Max The Minner: RSI Bands with Min/Max [by Oberlunar]This Pine Script, titled "Max The Minner: RSI Bands with Min/Max " is a technical indicator designed to visualize RSI-based dynamic bands with local minimum and maximum levels on a chosen timeframe. The script incorporates user-configurable parameters for RSI thresholds, resolution, and color settings, providing traders with a highly customizable tool for analyzing price behavior in relation to overbought and oversold conditions.
Core Functionality
The script begins by calculating the RSI (Relative Strength Index) using user-defined inputs for overbought and oversold levels, the RSI length, and the resolution (default set to daily). The RSI is computed through an exponential moving average (EMA) approach that smooths the upward and downward price movements, creating adaptive upper (ub) and lower (lb) bands based on the overbought and oversold thresholds.
These bands are then dynamically adjusted based on the current price (src) and the EMA calculations. The upper band (ub) represents a potential resistance zone aligned with the RSI overbought level, while the lower band (lb) represents a support zone aligned with the RSI oversold level. The script employs additional calculations to ensure the adaptive nature of these bands, depending on whether the RSI is pushing higher or lower relative to its thresholds.
Local Minima and Maxima
A key feature of the indicator is its ability to track and update local minima and maxima based on the chosen timeframe. The script uses a buffer system that refreshes these levels every three bars to smooth out noise and avoid excessive sensitivity to short-term fluctuations. These local extrema (localMin and localMax) are retrieved from the lower and upper prices of the selected timeframe and act as dynamic benchmarks for evaluating the RSI bands.
Conditional Logic
The script includes conditional logic to determine when the RSI bands intersect with or approach the local maxima or minima. For example:
The upper band (ub) is plotted only if it is below the local maximum, suggesting that price may encounter resistance.
Similarly, the lower band (lb) is plotted only if it is above the local minimum, indicating potential support.
This logic ensures that the bands are contextually relevant to the prevailing market structure, rather than being static overlays.
Visualization
The RSI bands and local extrema are plotted on the chart using color-coded lines, with transparency adjustable through user inputs. The upper band and local maximum are linked with a fill area, visually representing the resistance zone. Similarly, the lower band and local minimum are filled to highlight the support zone. These fills provide a clear depiction of price boundaries, making it easier for traders to spot key levels.
Additionally, the script marks breakout conditions. If the price exceeds the local maximum, a label is plotted at the breakout point with a distinctive style and color. Similarly, a breakout below the local minimum is labeled, providing a visual cue for significant price movements.
Customization
The script offers extensive customization options for both functionality and appearance:
Users can define the overbought and oversold levels for RSI, along with the RSI length and the resolution (timeframe).
Colors for the upper and lower bands, along with transparency (alpha) levels, can be adjusted, allowing for seamless integration with different chart styles.
The periodicity of the local minima and maxima updates is hardcoded to three bars but could be further parameterized for greater flexibility.
This indicator is particularly useful for traders who rely on RSI-based strategies and need a dynamic representation of overbought and oversold conditions in conjunction with local price extremes. By combining RSI bands with the context provided by local minima and maxima, it allows traders to:
Identify potential support and resistance levels.
Visualize price behavior relative to RSI thresholds.
Spot breakout opportunities when price exceeds predefined levels.
Options Flavour by Raushan ShrivastavaThis script is for a trading strategy which combines Pivot Points and a Simple Moving Average.
It calculates support and resistance levels based on the monthly pivot point and plots them on the chart.
The script also creates conditions for entering bullish and bearish trades based on the relationship between the price and moving average.
Breakdown of the main components of the script :-
Pivot Point Calculation:
The script calculates the monthly pivot point and its associated support (S1, S2, S3) and resistance (R1, R2, R3) levels.
These levels are used to determine potential areas of interest on the chart.
Moving Average:
A simple moving average (SMA) is plotted with a length defined by the user (length_ma), used to spot trends.
Conditions for Bullish and Bearish Signals:
Bullish condition: The label appears when the market crosses the moving average upward and is above the pivot, or when the market crosses the pivot upward and is above the moving average.
Bearish condition: The label appears when the market crosses the moving average downward and is below the pivot, or when the market crosses the pivot downward and is below the moving average.
Plotting Shapes:
The pivot point, support, resistance, and previous month's high/low values are plotted on the chart as circles.
The moving average is plotted as a black line.
Labels:
Labels are placed to indicate when a bullish or bearish condition occurs. These labels appear when the conditions are met, helping visualize trading signals.
This strategy can be useful for traders who wish to combine multiple technical indicators to make more informed decisions. You can adjust the parameter for moving average length to fine-tune the strategy for different time frames and market conditions.
Support Resistance Major/Minor [TradingFinder] Market Structure🔵 Introduction
Support and resistance levels are key concepts in technical analysis, serving as critical points where prices pause or reverse due to the interaction of supply and demand. These foundational elements in price action and classical technical analysis assist traders in understanding market behavior and making better trading decisions.
Support levels are zones where demand is strong enough to prevent further price declines, while resistance levels act as barriers that hinder price increases.
Support and resistance levels are divided into two main types: static and dynamic. Static levels are fixed horizontal lines on charts, formed based on historical price points, and are crucial due to repeated price reactions in these areas.
Dynamic levels, on the other hand, move with market trends and are often identified using tools like moving averages and trendlines. These levels are particularly useful for analyzing dynamic trends and identifying potential reversal points in financial markets.
The importance of support and resistance in technical analysis lies in their ability to pinpoint price reversal or continuation points. Professional traders use these levels to determine optimal entry and exit points and combine them with tools such as Fibonacci retracements or moving averages for precise strategies.
Detailed analysis of price behavior at these levels provides insights into trend strength and the likelihood of price breaks or reversals. By understanding these concepts, technical analysts can forecast future price movements and optimize their trading decisions using tools such as indicators and price action. Support and resistance levels, as a cornerstone of technical analysis, form the foundation for many trading strategies.
🔵 How to Use
The Static Support and Resistance Indicator is a vital tool for identifying significant price zones in financial markets. It automatically detects major and minor support and resistance levels in both short-term and long-term intervals, enabling traders to analyze price behavior accurately and develop optimal entry and exit strategies.
🟣 Major Long-Term Support and Resistance
Major Long-Term Support : The lowest price points recorded over long-term intervals that prevent further declines.
Major Long-Term Resistance : The highest price points in long-term intervals that limit further price increases.
🟣 Minor Long-Term Support and Resistance
Minor Long-Term Support : Temporary halts in price decline within a downtrend over long-term intervals.
Minor Long-Term Resistance : Short-term zones within long-term intervals where prices react negatively in an uptrend.
🟣 Major Short-Term Support and Resistance
Major Short-Term Support : The lowest price points in short-term intervals that act as barriers against sharp price drops.
Major Short-Term Resistance : The highest points in short-term intervals that prevent further price surges.
🟣 Minor Short-Term Support and Resistance
Minor Short-Term Support : Temporary halts in price decline within short-term downtrends.
Minor Short-Term Resistance : Zones where price reacts quickly and reverses in short-term uptrends.
🔵 Settings
Long Term S&R Pivot Period : Defines the interval for identifying long-term support and resistance levels (default: 21).
Short Term S&R Pivot Period : Defines the interval for identifying short-term support and resistance levels (default: 5).
🟣 Long-Term Lines
Major Line Display : Enable/disable major long-term lines.
Minor Line Display : Enable/disable minor long-term lines.
Major Line Colors : Green for support, red for resistance (long-term major levels).
Minor Line Colors : Light green for support, light red for resistance (long-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major long-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor long-term levels.
Major Line Width : Adjust the thickness of major long-term lines.
Minor Line Width : Adjust the thickness of minor long-term lines.
🟣 Short-Term Lines
Major Line Display : Enable/disable major short-term lines.
Minor Line Display : Enable/disable minor short-term lines.
Major Line Colors : Gray-green for support, gray-red for resistance (short-term major levels).
Minor Line Colors : Dark green for support, dark red for resistance (short-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major short-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor short-term levels.
Major Line Width : Adjust the thickness of major short-term lines.
Minor Line Width : Adjust the thickness of minor short-term lines.
🔵 Conclusion
Static support and resistance levels are among the most critical tools in technical analysis, helping traders identify key reversal or continuation points.
This indicator simplifies and enhances the analysis process by automatically detecting major and minor levels in both short-term and long-term intervals. It allows traders to customize settings to suit their trading strategies and analyze different market levels effectively.
Using this indicator improves price action analysis, enhances market understanding, and identifies trading opportunities. Applicable to all trading styles, from day trading to long-term investing, it is an essential tool for technical analysis.
Combining this indicator with other tools like trendlines, Fibonacci retracements, and moving averages enables comprehensive analysis and allows traders to navigate financial markets with greater confidence.
Pre-Market and First 5-Minute LevelsThis will plot the pre-market high an the pre-market low right when market opens after the first five minutes, this will also apply for the first five minute high and five minute low with horizontal rays. Pre-Market levels are blue and 5 minute levels are orange
Premarket and Opening Range (First 30 minutes) LevelsThis indicator is for people who like to utilize the pre-market highs and pre-market Low's as well as the first 30 minutes high and low, or some people like to call the opening range. I hope you find value in this. Note, the levels will only appear after tracking. Premarket levels will happen after pre-market closes. Opening Range levels will show right after the first 30 minutes.
Nimu Market on DemandNimu Market On Demand is an innovative tool designed to provide a visual representation of market demand levels on a scale of 1 to 100. This scale is displayed at specific intervals , making it easy for users to understand market demand fluctuations in real time.
To enhance analysis, Nimu Market On Demand also incorporates the Relative Strength Index (RSI) with key thresholds at . RSI is a widely-used technical indicator that measures market strength and momentum, offering insights into overbought (excessive buying) or oversold (excessive selling) conditions.
The combination of the Demand graph and RSI enables users to:
Identify the right time to buy when the RSI falls below 30, signaling an oversold condition.
Determine the optimal time to sell when the RSI rises above 70, indicating an overbought condition.
With an integrated visualization, users can effortlessly observe demand patterns and combine them with RSI signals to make smarter and more strategic trading decisions. This tool is designed to help traders and investors maximize opportunities in a dynamic market environment.
Profitability Visualization with Bid-Ask Spread ApproximationOverview
The " Profitability Visualization with Bid-Ask Spread Approximation " indicator is designed to assist traders in assessing potential profit and loss targets in relation to the current market price or a simulated entry price. It provides flexibility by allowing users to choose between two methods for calculating the offset from the current price:
Bid-Ask Spread Approximation: The indicator attempts to estimate the bid-ask spread by using the highest (high) and lowest (low) prices within a given period (typically the current bar or a user-defined timeframe) as proxies for the ask and bid prices, respectively. This method provides a dynamic offset that adapts to market volatility.
Percentage Offset: Alternatively, users can specify a fixed percentage offset from the current price. This method offers a consistent offset regardless of market conditions.
Key Features
Dual Offset Calculation Methods: Choose between a dynamic bid-ask spread approximation or a fixed percentage offset to tailor the indicator to your trading style and market analysis.
Entry Price Consideration: The indicator can simulate an entry price at the beginning of each trading session (or the first bar on the chart if no sessions are defined). This feature enables a more realistic visualization of potential profit and loss levels based on a hypothetical entry point.
Profit and Loss Targets: When the entry price consideration is enabled, the indicator plots profit target (green) and loss target (red) lines. These lines represent the price levels at which a trade entered at the simulated entry price would achieve a profit or incur a loss equivalent to the calculated offset amount.
Offset Visualization: Regardless of whether the entry price is considered, the indicator always displays upper (aqua) and lower (fuchsia) offset lines. These lines represent the calculated offset levels based on the chosen method (bid-ask approximation or percentage offset).
Customization: Users can adjust the percentage offset, toggle the bid-ask approximation and entry price consideration, and customize the appearance of the lines through the indicator's settings.
Inputs
useBidAskApproximation A boolean (checkbox) input that determines whether to use the bid-ask spread approximation (true) or the percentage offset (false). Default is false.
percentageOffset A float input that allows users to specify the percentage offset to be used when useBidAskApproximation is false. The default value is 0.63.
considerEntryPrice A boolean input that enables the consideration of a simulated entry price for calculating and displaying profit and loss targets. Default is true.
Calculations
Bid-Ask Approximation (if enabled): bidApprox = request.security(syminfo.tickerid, timeframe.period, low) Approximates the bid price using the lowest price (low) of the current period. askApprox = request.security(syminfo.tickerid, timeframe.period, high) Approximates the ask price using the highest price (high) of the current period. spreadApprox = askApprox - bidApprox Calculates the approximate spread.
Offset Amount: offsetAmount = useBidAskApproximation ? spreadApprox / 2 : close * (percentageOffset / 100) Determines the offset amount based on the selected method. If useBidAskApproximation is true, the offset is half of the approximated spread; otherwise, it's the current closing price (close) multiplied by the percentageOffset.
Entry Price (if enabled): var entryPrice = 0.0 Initializes a variable to store the entry price. if considerEntryPrice Checks if entry price consideration is enabled. if barstate.isnew Checks if the current bar is the first bar of a new session. entryPrice := close Sets the entryPrice to the closing price of the first bar of the session.
Profit and Loss Targets (if entry price is considered): profitTarget = entryPrice + offsetAmount Calculates the profit target price level. lossTarget = entryPrice - offsetAmount Calculates the loss target price level.
Plotting
Profit Target Line: Plotted in green (color.green) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true.
Loss Target Line: Plotted in red (color.red) with a dashed line style (plot.style_linebr) and increased linewidth (linewidth=2) when considerEntryPrice is true.
Upper Offset Line: Always plotted in aqua (color.aqua) to show the offset level above the current price.
Lower Offset Line: Always plotted in fuchsia (color.fuchsia) to show the offset level below the current price.
Limitations
Approximation: The bid-ask spread approximation is based on high and low prices and may not perfectly reflect the actual bid-ask spread of a specific broker, especially during periods of high volatility or low liquidity.
Simplified Entry: The entry price simulation is basic and assumes entry at the beginning of each session. It does not account for specific entry signals or order types.
No Order Execution: This indicator is purely for visualization and does not execute any trades.
Data Discrepancies: The high and low values used for approximation might not always align with real-time bid and ask prices due to differences in data aggregation and timing between TradingView and various brokers.
Disclaimer
This indicator is for educational and informational purposes only and should not be considered financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct thorough research and consider your own risk tolerance before making any trading decisions. It is recommended to combine this indicator with other technical analysis tools and a well-defined trading strategy.
Order Blocks - VK TradingOrder Blocks - VK Trading
This script in Pine Script identifies and highlights Order Blocks, key tools in institutional trading. Designed for traders of all levels, it provides clear and customizable visualization, helping you anticipate market movements with greater accuracy.
Key Features:
Order Block Visualization: Highlights relevant bullish and bearish zones directly on the chart.
Customizable Settings: Adjust sensitivity, colors, and other parameters to suit your analysis needs.
Dual Block Detection: Uses two independent settings to cover different market perspectives.
Visual Alerts: Automatic line drawing for key levels.
Automatic Clearing: Dynamic clearing of already invalidated blocks.
User Benefits:
Clear Visual Analysis: Identifies key supply and demand points used by institutions.
Improved Trading Decisions: Anticipate entry and exit zones more accurately.
Time Saver: Automates level plotting, allowing you to focus on strategy and execution.
Strategy Adaptability: Compatible with Smart Money, Wyckoff, and Price Action approaches.
Disclaimer:
This script is an educational and analytical tool. It does not guarantee specific results or eliminate trading risk. Trading in the financial markets involves significant risks; use this script at your own risk.
OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction
The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price.
By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements.
Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend.
In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal.
For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points.
OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout.
Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively.
This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently.
Bullish Divergence :
Bearish Divergence :
🔵 How to Use
The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions.
🟣 Bullish Divergence
A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside.
For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position.
🟣 Bearish Divergence
A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside.
For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions.
🔵 Setting
Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends.
You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display.
🔵 Table
The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator.
Exist : If divergence is detected, a "+" will appear in this row.
Consecutive: Shows the number of consecutive divergences that have formed in a short period.
Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong."
Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table.
🔵 Conclusion
The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies.
Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events.
Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.
Bitcoin Pi Cycle TrackerThe Bitcoin Pi Cycle Tracker is based on the widely recognized Pi Cycle Top Indicator, a concept used to identify potential market cycle tops in Bitcoin's price. This implementation combines the 111-day Simple Moving Average (SMA) and the 350-day SMA (multiplied by 2) to detect key crossover points. When the 111-day SMA crosses above the 350-day SMA x2, it signals a potential market peak.
Key Features:
Plots the 111-day SMA (blue) and the 350-day SMA x2 (red) for clear visualization.
Displays visual markers and vertical lines at crossover points to highlight key moments.
Sends alerts for crossovers, helping traders stay ahead of market movements.
This tool is an implementation of the Pi Cycle concept originally popularized by Bitcoin market analysts. Use it to analyze historical price cycles and prepare for significant market events. Please note that while the Pi Cycle Indicator has been historically effective, it should be used alongside other tools for a comprehensive trading strategy.
Multi-Timeframe Liquidity LevelsMulti-Timeframe Liquidity Levels – Overview
The Multi-Timeframe Liquidity Levels indicator automatically displays significant highs and lows from various timeframes (Daily, Weekly, Monthly, and Quarterly) on your current chart. This allows traders to quickly identify potential support and resistance zones without frequently switching between different timeframe charts. Additionally, the script offers extra lines for special reference points (e.g., the “Midnight” midpoint of the current day and the previous day’s open/close) to highlight potential liquidity zones even more clearly.
1. Core Idea and Benefits
Time-Saving: Instead of manually reviewing charts in different timeframes, the indicator fetches relevant high/low levels automatically and shows them on your active timeframe.
Clear Layout: Traders instantly see where the Daily, Weekly, Monthly, and Quarterly highs and lows lie—areas often associated with institutional orders or liquidity hunts.
Customizable: You can tailor the color scheme, line style (Solid, Dashed, Dotted), and line width, ensuring the displayed levels fit your personal charting style.
2. How It Works
Multi-Timeframe High/Low
For each timeframe (Day, Week, Month, Quarter), the indicator references the previous candle’s high and low (high , low ).
Using request.security(...), these values are plotted on the chart you’re currently viewing.
Flexible Display
You can individually enable or disable the Daily, Weekly, Monthly, and Quarterly lines, depending on which levels are most relevant to your trading.
With Line Style (Solid, Dashed, Dotted) and Line Width, you can easily emphasize certain lines you consider more important.
Additional Lines
“Midnight” Line: A theoretical midpoint between today’s high and low, which can be useful for gauging daily pivot areas.
Previous Day’s Open/Close: Many traders track these reference points to anticipate market reactions. You can show or hide these lines as desired.
Automatic Line Removal & Creation
When a particular timeframe (e.g., “Show Monthly Levels”) is disabled, the script automatically removes the existing monthly lines.
Enabling it again recreates those lines without hassle.
3. Usage and Interpretation
Identifying Support and Resistance
Highs and lows from higher timeframes are often key zones for entries, exits, or major market reactions.
A Daily level may be crucial for short-term traders, whereas Monthly or Quarterly levels can indicate long-term liquidity areas.
Spotting Market Shifts
If price decisively moves above a Higher-Timeframe line, it could signal strong momentum.
Conversely, a failed breakout (where price quickly returns under or above a level) might warn of a potential reversal.
Extra Lines as Filters
The “Midnight” Line helps visualize a rough central price for the current day, aiding in intraday directional bias.
Previous Day’s Open/Close: Common reference points for day traders, where swift approaches and rejections can indicate potential entries or partial take-profit zones.
4. Practical Tips
Use Color-Coding Wisely: Assign distinct colors (e.g., Blue for Daily, Green for Weekly, Orange for Monthly, Purple for Quarterly) so you can easily discern which timeframe you’re looking at.
Toggle On/Off As Needed: Day traders might focus on Daily and Weekly, while long-term traders may pay closer attention to Monthly and Quarterly.
Combine with Price Action: Lines alone don’t constitute a trading strategy. Use them alongside candlestick patterns, volume analysis, or other indicators for a more complete market perspective.
5. Important Notes & Recommendations
Not Financial Advice: This indicator simply reflects historical high/low data across multiple timeframes and does not constitute a buy or sell recommendation.
Trader Responsibility: Observe how the market actually behaves around these lines and adapt your risk management accordingly.
