TQ's Support & Resistance(My goal creating this indicator): Provide a way to categorize and label key structures on multiple different levels so I can create a plan based on those observable facts.
The Underlying Concept / What is Momentum?
Momentum indicates transaction pressure. If the algorithm detects price is going up, that would be considered positive momentum. If the algorithm detects price is going down negative momentum would be detected.
The Momentum shown is derived from a price action pattern. Unlike my previous Support & Resistance indicator that used Super Trend, this indicator uses a unique pattern I created. On the first bar bearish momentum is detected a resistance Level is made at the highest point of the previous bullish condition. On the first bar bullish momentum is detected a support Level is made at the lowest point of the previous bearish condition. This happens on 5 different Momentum Levels, (short-term to long-term). I currently use this pattern to trade so the source code is protected.
What is Severity?
Severity is How we differentiate the importance of different Highs and Lows. If Momentum is detected on a higher level the Supply or Demand Level is updated. The Color and Size representing that Level will be shown. Demand and Supply Levels made by higher levels are more SEVERE than a demand level made by a lower level.
Technical Inputs
- to ensure the correct calculation of Support and Resistance levels change BAR_INDEX. BAR_INDEX creates a buffer at the start of the chart. For example: If you set BAR_INDEX to 300. The script will wait for 300 bars to elapse on the current chart before running. This allows the script more time to gather data. Which is needed in order for our dynamic lookback length to never return an error (Dynamic lookback length can't be negative or zero). The lower the timeframe the greater the number of bars need. For Example, if I open up a 1min chart I would enter 5000 as my BAR_INDEX since that will provide enough data to ensure the correct calculation of Support and Resistance levels. If I was on a daily chart, I would enter a lower number such as 800. Don't be afraid to play around with this.
- Toggle options (Close) or (High & Low) creates Support and Resistance Levels using the Lowest close and Highest close or using the Lowest low and Highest high.
Level Inputs
- The indicator has 5 Different Levels indicating SEVEREITY of a Supply and Demand Levels. The higher the Level the more SEVERE the Level.
Display Inputs
- You have the option to customize the Length, Width, Line Style, and Colors of all 5 different
- This indicator includes a Trend Chart. To Easily verify the current trend of any displayed by this indicator toggle on Chart On/Off. You also get the option to change the Chart Position and the size of the Trend Chart
How Trend Is being Determined?
(Close > Current Supply Level) if this statement is true technically price made a HH, so the trend is bullish.
(Close < Current Demand Level) if this statement is true technically price made a LL, so the trend is bearish.
- Fully customize how you display Market Structure on different levels. Line Length, Line Width, Line Style, and Line color can all be customized.
How it can be used?
(Examples of Different ways you can use this indicator): Easily categorize the severity of each and every Supply or Demand Level in the market (The higher Level the stronger the level)
: Quickly Determine the trend of any Level.
: Get a consistent view of a market and how different Levels are behaving but just use one chart.
: Take the discretion from hand drawing support and resistance lines out of your trading.
: Find and categorize strong levels for potential breakouts.
: Trend Analysis, use Levels to create a narrative based on observable facts from these Levels.
: Different Targets to take money off the table.
: Use Severity to differentiate between different trend line setups.
: Find Great places to move your stop loss too.
Indicators and strategies
Al Brooks H1 L1 Signal BarsAl Brooks H1/L1 Signal Bars Indicator
This indicator identifies high-probability reversal and continuation signals based on Al Brooks' trading methodology for H1/L1 and H2/L2 patterns.
As with all my indicators, you should use this in the context of a higher time frame or a strategy.
This will help signal entries at confluence areas of your predefined edge.
Taken at random you will get chopped up.
You can change the settings to set your own definition for what you consider a buy or sell signal bar.
- WHAT IT DOES:
This indicator identifies two primary signal types:
- H1, H2, H3, etc.: Bull signals that occur after bearish price action
- L1, L2, L3, etc.: Bear signals that occur after bullish price action
- KEY FEATURES:
- Sequential labeling of signals (H1, H2, H3... and L1, L2, L3...)
- Strength filtering for high-quality signals
- Customizable parameters for different markets and timeframes
- Built-in strategy signals for automated trading
- Alert conditions for notifications
- HOW TO USE:
Bull signals (H1, H2, etc.) occur when:
1. There has been prior bearish price action
2. The current bar is bullish
3. The close is near the high (strong bulls)
4. Close is above the prior bar high (or prior close if specified)
Bear signals (L1, L2, etc.) occur when:
1. There has been prior bullish price action
2. The current bar is bearish
3. The close is near the low (strong bears)
4. Close is below the prior bar low (or prior close if specified)
- SETTINGS:
- Bull/Bear Strength Threshold: Lower values require closes to be closer to the high/low
- Lookback Bars: How far back to look for opposing price action
- Min Opposing Bars: Minimum number of opposing bars needed for a valid signal
- Bull/Bear Signal Filters: Requirements for generating signals
- Min Count for Signals: Minimum count value required for signals (e.g., only H2 or higher)
- TIPS:
- Lower strength thresholds create stronger, but fewer signals
- Higher lookback values create more signals but may reduce quality
- Use the count filters to only trade more mature setups (H2+ or L2+)
- Consider smaller values on lower timeframes and larger values on higher timeframes
Inspired by Al Brooks' price action trading concepts.
Pivot Clouds [SS]Hey everyone,
Whopper indicator here that I have been working on for some time, excited to finally release it! So let's get into it!
☁️☁️ What are Pivot Clouds?! ☁️☁️
The concept for pivot clouds came from trailing and erroring different iterations of support and resistance (which ultimately led to the creation of the BIN Based Support and Resistance indicator).
In the design and creation of my BIN support and resistance indicator, I initially tried to do something similar with pivot points. However, I found pivots to be relatively ineffective as support and resistance, especially in very trendy markets, and the BIN approach reigned supreme. However, not wanting to abandon the utility of pivots, I tried something different, creating a pivot based SMA.
This proved most useful and very helpful for determining directions, rejections and trends! From there, came this indicator, the Pivot Clouds. This is currently iteration 32 haha, which will be the final iteration for the time being and most functional.
The pivot cloud indicator works by smoothing pivot highs and pivot lows over the course of your inputted length. My general suggestion is to keep it between 150 to 250. Going to low will make it incredibly choppy. Using 200 seems to be the sweet spot for most tickers.
Over the course of the pivot lookback, it collects all pivot highs and pivot lows, then averages them out to create 2 separate SMAs, those being an SMA for the pivot high and an SMA for the pivot low. Together, these create the cloud you see in the main chart.
In addition to creating this cloud, the indicator marks and tracks pivot maxes to both the upside and downside and will draw cloud support on a fall below the main cloud and cloud resistance on a rise above the main cloud, as exampled here:
Above:
And Below:
These clouds represent the average of the pivot high/pivot low and extend to the max or min (high or low depending on position on the main cloud).
💡 Alternative Abilities 💡
Resulting from the sometimes inadequacy of pivots to determine targets and resistance/support, the indicator is capable of pulling in ATR target prices. This allows the user to either use both, pivot max/min clouds AND ATR targets, or simply one or the other.
The ATR targets can be customized in the indicator settings, with a default of daily timeframe targets on a 14 ATR lookback.
Here are some examples of how the ATR targets look:
And to the upside:
📈 Standalone Strategy 📈
This indicator can be used as a standalone strategy, or to complement other strategies. I will go over both briefly, starting with standalone strategy:
Select your target preference (ATR, Pivot Maxes and Mins or both)
Long on a break and hold over the main cloud to the targets; or
Shrot on a break below the main cloud to the targets.
That simple!
🎯Supplemental to existing Strategy 🎯
This indicator for me is gold for my strategy, which involves longing or shorting to calculated target prices.
You essentially follow the above, only your targets are determined by your strategy. So for me, I look for a rejection or hold of the cloud, to long or short to my targets:
💰Customizing the Indicator 💰
Let's quickly go over these options:
Smooth length: Creates a smooth cloud. Suggested limits are 150 - 250
Lookback Length: This determines the length of lookback for the indicator to store historical pivot information and create the clouds.
Pivot Lookforward/backward: Allows the user to select custom pivot timeframes. The traditional rule is 10, but 5 sometimes is preferred on larger timeframes.
Show Pivot Max and Min: These enables the pivot max and min cloud for a crossover or crossunder of the main cloud.
ATR timeframe: determines the ATR target price levels to look for. You can toggle weekly, daily, hourly, whichever you prefer.
ATR Length: Allows you to customize the lookback for determining the ATR targets.
USE ATR targets: This will turn on / off the ATR targets, if you wish to use/not use these reference points with the indicator, same as with the pivot max and min cloud toggle.
And that's the indicator, folks!
Hope you like it,
Take care and safe trades!🚀
BUY AND SELL SIGNALSThis script gives Buy and Sell signals that are 98% accurate. Load the script and see for yourself.
Money Flow: In & Out Detector[THANHCONG]Indicator Name:
Money Flow: In & Out Detector
Indicator Description:
The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market.
This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors:
RSI > 50 and MFI > 50: Money inflow, indicating a buy signal.
RSI < 50 and MFI < 50: Money outflow, indicating a sell signal.
Volume increase/decrease relative to the average: Identifies strong market behavior changes.
Adjustable Parameters:
RSI Length: The number of periods to calculate the RSI (default is 14).
MFI Length: The number of periods to calculate the MFI (default is 14).
Volume MA Length: The number of periods to calculate the moving average of volume (default is 20).
Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%).
Look Back Period: The number of periods used to identify peaks and troughs (default is 20).
How to Use the Indicator:
Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal.
Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal.
Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions.
Note:
This indicator assists in decision-making, but does not replace comprehensive market analysis.
Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals.
Steps for Publishing the Indicator on TradingView:
Log in to TradingView:
Go to TradingView and log into your account.
Access Pine Script Editor:
Click on Pine Editor from the menu under the chart.
Paste your Pine Script® code into the editor window.
Check the Source Code:
Ensure your code is error-free and running correctly.
Review the entire source code and add the MPL-2.0 license notice if necessary.
Save and Publish:
After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart.
If satisfied with the result, click Publish Script at the top right of the Pine Editor.
Provide a name for the indicator and then enter the detailed description you’ve prepared.
Ensure you specify the MPL-2.0 license in the description if required.
Choose the Access Type:
You can choose either Public or Private access for your indicator depending on your intention.
Submit for Publication:
Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval.
User Guide:
You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example:
Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy.
Interpreting Buy/Sell Signals: When there is strong money inflow (Buy), consider entering a buy order. When there is strong money outflow (Sell), consider selling.
Persian expert traderWhat does this indicator provide me with?
Calculation of the average daily range over the past X days
Display of the total size of the previous day's candle
Percentage of the current candle’s size relative to the average range of the past X days
Display of how much the market has moved during the day
Comparison of daily movement to the average movement over the past X days
Display of the Exponential Moving Average (EMA) and its slope to detect ranging or trending conditions
Identification of candles with strong bodies and good closes, whose size falls within an acceptable range relative to the average daily range
این اندیکاتور چه امکاناتی را در اختیار من قرار میدهد؟
محاسبه میانگین رنج روزانه طی X روز گذشته
نمایش اندازه کامل کندل روز گذشته
محاسبه درصد اندازه کندل نسبت به میانگین رنج X روز گذشته
نمایش میزان حرکت بازار در طول روز
مقایسه حرکت روزانه با میانگین حرکت در X روز گذشته
نمایش میانگین متحرک نمایی (EMA) و شیب آن برای تشخیص حالت رنج یا ترند
شناسایی کندلهایی با بدنه قوی و کلوز مناسب، که اندازه آنها نسبت به میانگین رنج روزانه در محدوده قابل قبول قرار دارد
Sahid Strategy v2This script identifies potential buy/sell signals using:
Pivot Points - Detects swing highs/lows (price reversals)
Confirmation Filters - Reduces false signals using:
RSI (momentum)
Moving Average (trend direction)
Optional MACD (trend confirmation)
Key Features
Signal Type Trigger Conditions
BUY - Price makes a swing low (pivot)
Copy
- RSI ≤ 30 (oversold)
- Price above trend MA
- MACD bullish (optional) |
| SELL | - Price makes a swing high (pivot)
- RSI ≥ 70 (overbought)
- Price below trend MA
- MACD bearish (optional) |
Visual Signals
Green "BUY" labels below price bars
Red "SELL" labels above price bars
Purple trend line (20-period EMA/SMA)
Orange/blue circles showing raw pivot points
Optional Tools
Debug Table (top-right): Shows real-time:
RSI value
Price vs MA position
MACD status
Alerts - Triggers audible/visual notifications
Customization
Adjust in settings:
Pivot sensitivity (left/right bars)
RSI levels (30/70 by default)
MA type/length (20-period EMA/SMA)
Toggle MACD filter on/off
Best For: Swing trading in trending markets (1H-4H timeframes). Signals appear faster than classic pivot strategies but still require confirmation from other analysis tools.
Market Trend Levels Detector [BigBeluga] + Alerts & Visuals
Combines Market Trend Levels Detector with visuals and alerts
Trailing Monster StrategyTrailing Monster Strategy
This is an experimental trend-following strategy that incorporates a custom adaptive moving average (PKAMA), RSI-based momentum filtering, and dynamic trailing stop-loss logic. It is designed for educational and research purposes only, and may require further optimization or risk management considerations prior to live deployment.
Strategy Logic
The strategy attempts to participate in sustained price trends by combining:
- A Power Kaufman Adaptive Moving Average (PKAMA) for dynamic trend detection,
- RSI and Simple Moving Average (SMA) filters for market condition confirmation,
- A delayed trailing stop-loss to manage exits once a trade is in profit.
Entry Conditions
Long Entry:
- RSI exceeds the overbought threshold (default: 70),
- Price is trading above the 200-period SMA,
- PKAMA slope is positive (indicating upward momentum),
- A minimum number of bars have passed since the last entry.
Short Entry:
- RSI falls below the oversold threshold (default: 30),
- Price is trading below the 200-period SMA,
- PKAMA slope is negative (indicating downward momentum),
-A minimum number of bars have passed since the last entry.
Exit Conditions
- A trailing stop-loss is applied once the position has been open for a user-defined number of bars.
- The trailing distance is calculated as a fixed percentage of the average entry price.
Technical Notes
This script implements a custom version of the Power Kaufman Adaptive Moving Average (PKAMA), conceptually inspired by alexgrover’s public implementation on TradingView .
Unlike traditional moving averages, PKAMA dynamically adjusts its responsiveness based on recent market volatility, allowing it to better capture trend changes in fast-moving assets like altcoins.
Disclaimer
This strategy is provided for educational purposes only.
It is not financial advice, and no guarantee of profitability is implied.
Always conduct thorough backtesting and forward testing before using any strategy in a live environment.
Adjust inputs based on your individual risk tolerance, asset class, and trading style.
Feedback is encouraged. You are welcome to fork and modify this script to suit your own preferences and market approach.
Omid's BPAWhat does this indicator provide me with?
Candle count
Exponential Moving Average (EMA)
Breakout from structure
Gaps between candles
Display of order blocks (not effective for price action)
Opening gap of the day
Key daily, weekly, and monthly levels
Inside bars and outside bars
این اندیکاتور چه امکاناتی را در اختیار من قرار میدهد؟
شمارش کندلها
میانگین متحرک نمایی (EMA)
تشخیص بریکاوت از ساختار
شناسایی گپها بین کندلها
نمایش اردربلاکها (بدون کارایی برای پرایس اکشن)
گپ ابتدای روز
نمایش سطوح کلیدی روزانه، هفتگی و ماهانه
شناسایی کندلهای اینساید بار و اوتساید بار
P-Motion Trend | QuantEdgeB⚡ Introducing P-Motion Trend (PMT) by QuantEdgeB
🧭 Overview
P-Motion Trend is a refined trend-following framework built for modern market dynamics. It combines DEMA filtering, percentile-based smoothing, and volatility-adjusted envelopes to create a clear, noise-filtered trend map directly on your chart.
This overlay indicator is engineered to detect breakout zones, trend continuation setups, and market regime shifts with maximum clarity and minimum lag.
Whether you're swing trading crypto, managing intraday FX moves, or positioning in equities — P-Motion Trend adapts, aligns, and simplifies.
🧠 Core Logic
1️⃣ DEMA Filtering Core
The input source is processed through a Double EMA to reduce lag while retaining trend sensitivity.
2️⃣ Percentile Median Smoothing
To eliminate short-lived spikes, the DEMA output is passed through a percentile median rank — effectively smoothing without distortion.
3️⃣ Volatility Envelope with EMA Basis
An exponential moving average (EMA) is applied to the smoothed median, and standard deviation bands are wrapped around it:
• ✅ Long Signal → Price closes above the upper band
• ❌ Short Signal → Price closes below the lower band
• ➖ Inside Band = Neutral
These bands expand/contract with market volatility — protecting against false breakouts in quiet regimes and adapting quickly to strong moves.
📊 Visual & Analytical Layers
• 🎯 Bar Coloring: Color-coded candles highlight trend state at a glance.
• 📈 EMA Ribbon Overlay: A dynamic ribbon of EMAs helps confirm internal momentum and detect transitions (trend decay or acceleration).
• 🔹Gradient Fill Zones: Visually communicates squeeze vs. expansion phases based on band width.
⚙️ Custom Settings
• EMA Length – Defines the core trend path (default: 21)
• SD Length – Controls volatility band smoothing (default: 30)
• SD Mult Up/Down – Sets thresholds for breakout confirmation (default: 1.5)
• DEMA Filter Source – Raw input used for trend processing
• DEMA Filter Length – Sets DEMA smoothing (default: 7)
• Median Length – Percentile-based smoothing window (default: 2)
📌 Use Cases
✅ Trend Confirmation
Use PMT to confirm whether the price action is structurally valid for trend continuation. A close above the upper band signals entry alignment.
🛡️ Reversal Guard
Avoid early reversion entries. PMT keeps you in-trend until price truly breaks structure.
🔍 Momentum Visualizer
With multiple EMA bands, the indicator also functions as a momentum envelope to spot divergence between price and smoothed trend flow.
🔚 Conclusion
P-Motion Trend is a hybrid volatility + trend system built with precision smoothing, dynamic filtering, and clean visual output. It balances agility with stability, helping you:
• Filter out price noise
• Enter with structure
• Stay in trades longer
• Exit with confidence
🧩 Summary of Benefits
• 🔹 Lag-minimized trend structure via DEMA core
• 🔹 Real-time volatility band adaptation
• 🔹 Gradient visual feedback on compression/expansion
• 🔹 EMA ribbon assists in phase detection
• 🔹 Suitable for all markets & timeframes
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Smart Money Concepts [LuxAlgo]Smart Money Concepts with Buy/Sell Signals
This script is an enhanced version of the Smart Money Concepts indicator, designed to help traders identify key market structure levels, order blocks, fair value gaps, and premium/discount zones. The modification adds buy and sell signals based on the break of bullish and bearish structures, making it easier for traders to spot potential entry and exit points.
Key Features
Market Structure Analysis:
Identifies Break of Structure (BOS) and Change of Character (CHoCH) for both bullish and bearish trends.
Tracks internal and swing structures to understand the market's underlying dynamics.
Order Blocks:
Highlights bullish and bearish order blocks for potential reversal zones.
Filters out volatile order blocks using ATR or cumulative mean range.
Fair Value Gaps (FVG):
Detects bullish and bearish FVGs for potential continuation zones.
Allows customization of FVG thresholds and extensions.
Premium/Discount Zones:
Marks premium, discount, and equilibrium zones for mean reversion opportunities.
Buy/Sell Signals:
Buy Signal: Triggered when a bullish break of structure (BOS) occurs.
Sell Signal: Triggered when a bearish break of structure (BOS) occurs.
Signals are plotted on the chart with clear labels ("BUY" and "SELL") for easy identification.
Customizable Alerts:
Alerts for buy and sell signals to notify you in real-time when conditions are met.
Alerts for other key events like order block breakouts, FVG formations, and equal highs/lows.
Visual Enhancements:
Colored candles to reflect the current trend detected by the market structure.
Multi-timeframe levels for daily, weekly, and monthly highs/lows.
Trailing swing points to highlight strong and weak highs/lows.
How to Use
Add the Script to Your Chart:
Apply the script to your TradingView chart to visualize the market structure, order blocks, and FVGs.
Identify Buy/Sell Signals:
Look for "BUY" labels below the bars for potential long entries.
Look for "SELL" labels above the bars for potential short entries.
Combine with Other Tools:
Use the script in conjunction with other indicators or price action analysis to confirm signals.
Set Alerts:
Enable alerts for buy/sell signals to stay informed about potential trading opportunities.
Customization Options
Mode: Choose between Historical or Present mode to display all structures or only the most recent ones.
Style: Switch between Colored or Monochrome themes for visual preferences.
Order Block Filter: Use ATR or Cumulative Mean Range to filter out volatile order blocks.
Fair Value Gaps: Adjust the threshold and extend settings for FVG detection.
Multi-Timeframe Levels: Enable/disable daily, weekly, and monthly levels.
Why Use This Script?
This script combines the power of Smart Money Concepts with actionable buy and sell signals, making it a valuable tool for traders who follow institutional trading strategies. Whether you're a beginner or an experienced trader, this script helps you identify high-probability setups and make informed trading decisions.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice, and you should conduct your own research before making any trading decisions. Use it at your own risk.
Credits
Original Script: LuxAlgo
Modifications:
Statistical OHLC Projections [neo|]█ OVERVIEW
Statistical OHLC Projections is an indicator designed to offer users a customizable deep-dive on measuring historical price levels for any timeframe. The indicator separates price into two distinct levels, "Manipulation" and "Distribution", where the idea is that for higher timeframe candles, e.g. an up-close candle, the distance from the open to the bottom of the wick would constitute the Manipulation, and the rest would be considered the Distribution. By measuring out these levels, we can gain insight on how far the market may move from higher timeframe opens to their manipulations and distributions, and apply this knowledge to our analysis.
IMPORTANT: Since levels are based on the lookback available on your chart, if the levels aren't being displayed this likely means you don't have enough lookback for your selected timeframe. To check this, enable the stat table to see how many values are available for your timeframe, and either reduce the lookback or increase your chart timeframe.
█ CONCEPTS
The core concept revolves around understanding market behavior through the lens of historical candle structure. The indicator dissects OHLC data to provide statistical boundaries of expected price movement.
- Manipulation Levels: These represent the areas typically seen as liquidity grabs or false moves where price extends in one direction before reversing.
- Distribution Levels: These highlight where the bulk of directional movement tends to occur, often following the manipulation move.
The tool aggregates this data across your selected timeframe to inform you of potential levels associated with it.
█ FEATURES
Multiple Display Types: Display statistical data through two sleek styles, areas or lines. Where areas represent the area between two customizable lookback values, and lines represent one average value.
Adjustable Timeframe Selection: Whether you want to see data based on the 1D chart, or the 1W chart, anything is possible. Simply change the timeframe on the dropdown menu and if there is sufficient lookback the indicator will adjust to your requested timeframe.
Customizable Historical Lookback: By default, the indicator will measure the average 60 values of your requested timeframe, however this may be adjusted to be higher or lower based on your preference. If you want to measure recent moves, 10-20 lookback may be better for you, or if you want more data for less volatile instruments, a value of 100 may be better.
Historical Display: Prevent historical levels from being removed by unchecking the "Remove Previous Drawings" option, this will allow you to examine how the levels previously interacted with price.
NY Midnight Anchoring: By checking the "Use NY Midnight" option, you may see the projection anchored to the New York midnight open time, which is often a significant level on indices.
Alerts: You may enable alerts for any of the indicator's provided levels to stay informed, even when off the charts.
█ How to use
To use the indicator, simply apply it to your chart and modify any of your desired inputs.
By default, the indicator will provide levels for the "1D" timeframe, with a desired lookback of 60, on most instruments and plans this can be gotten when you are on the 30 minute timeframe or above.
When price reaches or extends beyond a manipulation level, observe how it reacts and whether it rejects from that level, if it does this may be an indication that the candle for the timeframe you selected may be reversing.
█ SETTINGS AND OPTIONS
Customize the indicator’s behavior, timeframe sources, and visual appearance to fit your analysis style. Each setting has been designed with flexibility in mind, whether you're working on lower or higher timeframes.
Display Mode: Switch between different display styles for levels: - Default: Shows all statistical levels as individual lines.
- Areas: Plots filled zones between two customizable lookbacks to represent the range between them.
This is ideal for visually mapping high-probability zones of price activity.
Timeframe Settings:
- Show First/Second Timeframe: Choose to show one or both timeframe projections simultaneously.
- First Timeframe / Second Timeframe: Define the higher timeframe candle you want to base calculations on (e.g., 1D, 1W).
- Use NY Midnight: When enabled and using the daily timeframe, the levels will be anchored to the New York Midnight Open (00:00 EST), a key institutional timing reference, especially useful for indices and forex.
Calculation Settings:
- Main Lookback Period: The number of historical candles used in the statistical calculations. A lower number focuses on recent price action, while a higher number smooths results across broader history.
- First Lookback / Second Lookback: Used when “Areas” mode is selected to define the range of the shaded zone. For example, an area from 20 to 60 candles creates a band between short- and long-term price behavior averages.
Visual Settings:
- Line Style: Set your preferred visual style: Solid, Dashed, or Dotted.
- Remove Previous Drawings: When enabled, only the most recent projection is shown on the chart. Disable to retain previous levels and visually backtest their reactions over time.
Color Settings:
Customize each level independently to match your chart theme:
- Manipulation High/Low
- Distribution High/Low
- Open Level
- Label Text Color
Premium/Discount Zones:
- Enable Premium/Discount Zones: Overlay price zones above and below equilibrium to visualize potential overbought (premium) and oversold (discount) areas.
- Premium/Discount Colors: Fully customizable zone colors for clarity and emphasis.
Table Settings:
- Show Statistics Table: Adds an on-chart table summarizing key levels from your active timeframe(s).
- Table Cell Color: Set the background color of the table cells for visibility.
- Table Position: Choose from preset chart locations to position the table where it works best for your layout.
Alerts:
Stay on top of price interactions with key levels even when you're away from the charts.
- Manipulation Hits (High)
- Manipulation Hits (Low)
- Distribution Hits (High)
- Distribution Hits (Low)
Shan Alerts v6This indicator appears to be a volatility-based trailing stop system that generates buy and sell signals. It uses ATR (Average True Range) to determine stop levels and can work with either regular price data or Heikin-Ashi candles.
Strengths
ATR-Based Stops: The use of ATR makes the stops adaptive to market volatility, which is generally better than fixed percentage stops.
Heikin-Ashi Option: The ability to use Heikin-Ashi candles can help filter out some market noise, potentially reducing false signals.
Visual Clarity: The indicator provides clear visual signals with colored bars and buy/sell labels.
Alert Functionality: The built-in alert conditions make it practical for real-world trading.
Stochastic Overlay [NLR]If you've ever traded with the Stochastic oscillator, you probably love its ability to gauge momentum and overbought/oversold conditions. However, one common frustration is interpreting its movements alongside the actual price chart. The oscillator, plotted separately, can feel disconnected from price action, forcing traders to constantly glance back and forth. That’s exactly the problem I wanted to solve with this indicator.
The Solution: Stochastic Overlay
This indicator takes the familiar Stochastic oscillator and integrates it directly onto the price chart. Instead of struggling to correlate Stochastic signals with price movements, you now see the levels overlaid on the main chart, bringing momentum analysis into a more intuitive space.
What is the Stochastic Oscillator? (For the Newbies)
The Stochastic oscillator is a momentum-based indicator that measures the closing price relative to the high-low range over a specified period. It fluctuates between 0 and 100, helping traders identify potential reversals when the market is overbought (above 80) or oversold (below 20). The two key components are:
%K (fast-moving line)
%D (a smoothed moving average of %K)
Technical Details of the Overlay
The indicator adjusts the traditional Stochastic calculation by multiplying the timeframe (HTF multiplier), allowing traders to view higher-timeframe Stochastics. Set HTF Multiplier to 1 to see current timeframe Stochastics
It plots horizontal reference lines representing 0%, 20%, 40%, 50%, 60%, 80%, and 100% levels, giving a visual framework of price movement.
Color-coded fills help differentiate bullish and bearish zones—making it easy to spot potential turning points.
Why Do the %K & %D Lines Look “Crooked”?
Normally, the %K and %D lines range between 0 and 100, but in this overlay, they are scaled to fit the current price gap (the difference between the highest and lowest price in the selected period). This means their movement aligns more closely with price action, but it may appear distorted compared to a standard Stochastic oscillator.
For clarity, you can enable the visibility of %K and %D (Show %K %D option), allowing the scaled Stochastic values to be plotted within the price range.
Why Use This Overlay?
Better price interpretation: Instead of staring at a separate oscillator panel, you see momentum levels right where the price action unfolds.
Higher-timeframe integration: Adjusting the multiplier allows you to track the Stochastic behavior of larger timeframes without switching charts.
Clear visual cues: The colored fills and midpoint signals enhance readability for momentum shifts.
This tool transforms the way traders engage with Stochastic indicators, making momentum analysis more intuitive and efficient. Try it out, and see how your interpretation of price and momentum improves!
Z SMMA | QuantEdgeB📈 Introducing Z-Score SMMA (Z SMMA) by QuantEdgeB
🛠️ Overview
Z SMMA is a momentum-driven oscillator designed to track the standardized deviation of a Smoothed Moving Average (SMMA). By applying Z-score normalization, this tool dynamically adapts to price volatility, enabling traders to detect meaningful directional shifts and trend changes with enhanced clarity.
It serves both as a trend-following and mean-reversion system, identifying opportunities through standardized thresholds while remaining robust across volatile and calm market conditions.
✨ Key Features
🔹 Z-Score Normalization Engine
Applies Z-score to a custom SMMA baseline, allowing traders to compare price action relative to its recent volatility-adjusted mean.
🔹 Dynamic Trend Detection
Generates actionable long/short signals based on customizable Z-thresholds, making it adaptable across different asset classes and timeframes.
🔹 Overbought/Oversold Zones
Highlight reversion and profit-taking zones (default OB: +2 to +4, OS: -2 to -4), great for counter-trend or mean-reversion strategies.
🔹 Visual Reinforcement Tools
Includes candle coloring, gradient fills, and optional ALMA/EMA band overlays to visualize trend regime transitions.
🔍 How It Works
1️⃣ Z-Score SMMA Calculation
The core is a custom Smoothed Moving Average (SMMA) that is normalized by its standard deviation over a lookback period.
Final Formula:
Z = (SMMA - Mean) / StdDev
2️⃣ Signal Generation
• ✅ Long Bias: Z-Score > Long Threshold (default: 0)
• ❌ Short Bias: Z-Score < Short Threshold (default: 0)
3️⃣ Visual Aids
• Candle Color → Shows trend bias
• Band Fills → Highlight trend strength
• Overlays → Optional ALMA/EMA bands for structure analysis
⚙️ Custom Settings
• SMMA Length → Default: 12
• Z-Score Lookback → Default: 30
• Long Threshold → Default: 0
• Short Threshold → Default: 0
• Color Themes → Choose from 6 visual modes
• Extra Plots → Toggle advanced overlays (ALMA, EMA, bands)
• Label Display → Show/hide “𝓛𝓸𝓷𝓰” & “𝓢𝓱𝓸𝓻𝓽” markers
👥 Who Should Use It?
✅ Trend Traders → For early entries with confirmation from Z-score expansion
✅ Quantitative Analysts → Standardized deviation enables comparison across assets
✅ Mean-Reversion Traders → Use OB/OS zones to fade parabolic spikes
✅ Swing & Systematic Traders → Identify momentum shifts with optional ALMA/EMA overlays
📌 Conclusion
Z SMMA offers a smart, adaptive framework for tracking deviation from equilibrium in a quant-friendly format. Whether you're looking to follow trends or catch exhaustion points, Z SMMA provides a clear, standardized view of momentum and price extremes.
🔹 Key Takeaways:
1️⃣ Z-Score standardization ensures dynamic range awareness
2️⃣ SMMA base filters out noise, offering smoother signals
3️⃣ Color-coded visuals support faster reaction and cleaner charts
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before
Market Open Highlights (9:30 AM ET)This indicator zeroes in on the 9:30 AM Eastern Time market opens for NAS100 and US30, highlighting all market opens with a bold yet subtle yellow background. Tailored for precision backtesting, it uses TradingView’s timezone capabilities to pinpoint the exact 9:30 AM candle, skipping weekends to focus solely on U.S. equity market opens.
What It Does:
The script tracks the bar indices of all market opens at 9:30 AM ET, applying a semi-transparent yellow highlight to those candles. It’s a clean, efficient way to mark key session starts for analyzing price action or testing strategies.
How to Use It:
1. Apply the script to a chart of NAS100 (e.g., FX:NAS100) or US30 (e.g., FX:US30) in TradingView on any timeframe.
2. Set your chart timezone to "America/New_York" (Settings > Timezone/Sessions).
3. Scroll back through trading days to see the yellow highlights on the 9:30 AM candles.
4. While it functions across all timeframes, it’s optimized for 5-minute and 1-minute charts, where the 9:30 AM candle aligns precisely with the U.S. market open for detailed analysis.
5. Use it to study price behavior or refine strategies around this critical daily event.
Enhanced Elliott Wave + SMCThe Pine Script you provided is a sophisticated trading strategy called "Enhanced Elliott Wave + SMC" (Smart Money Concepts) that combines multiple technical analysis concepts to generate trade signals. Here's a breakdown of its key components and functionality:
1. Core Concepts
Elliott Wave Theory: Identifies potential wave patterns using a 50-period SMA to determine trend direction and Fibonacci extensions (1.618 ratio) for price targets.
Smart Money Concepts (SMC): Focuses on institutional trading patterns like liquidity sweeps, supply/demand zones, and fair value gaps (FVGs).
2. Key Features
Liquidity Sweep Detection:
Identifies false breakouts where price briefly exceeds recent highs/lows before reversing.
Confirms institutional "stop hunts" to trap retail traders.
Supply/Demand Zones:
Marks areas of concentrated buying/selling pressure.
Zones persist on the chart (up to max_zones_displayed) and are triggered by liquidity sweeps.
Fair Value Gaps (FVG):
Detects price voids between candles, indicating potential reversal zones.
Bullish FVG (gap below) and Bearish FVG (gap above) highlighted.
Market Structure Lines:
Horizontal lines showing recent swing highs/lows (10-period extremes).
3. Indicators & Filters
RSI & CMO: Momentum filters (RSI >50/<50, CMO positive/negative).
Volume Confirmation: Optional filter requiring volume spikes (1.5x 20-period average).
ATR-Based Risk Management: Dynamic stop-loss and take-profit levels based on volatility.
4. Entry Conditions
Long Entry:
Price crosses above demand zone.
Bullish momentum (RSI >50, CMO >0).
Confirmed bullish liquidity sweep.
Volume spike (if enabled).
Short Entry:
Price crosses below supply zone.
Bearish momentum (RSI <50, CMO <0).
Confirmed bearish liquidity sweep.
Volume spike (if enabled).
5. Risk Management
Stop-Loss: Fixed percentage (2%) of price or ATR-based.
Risk/Reward Ratio: 3:1 profit targets derived from stop-loss distance.
6. Visualization
Colored lines/zones for Elliott Wave projections, FVGs, supply/demand areas, and market structure.
Labels and alerts for key events (liquidity sweeps, zone entries).
7. Strategy Logic
Bullish Scenario:
After a bearish liquidity sweep (trap shorts), enter long when price reclaims demand zone with momentum.
Target Fibonacci extension levels or supply zones.
Stop below recent swing low/ATR level.
Bearish Scenario:
After a bullish liquidity sweep (trap longs), enter short when price breaks below supply zone.
Target demand zones or Fibonacci projections.
Stop above recent swing high/ATR level.
8. Use Case
This strategy aims to:
Identify institutional order blocks (liquidity sweeps).
Catch reversals at key supply/demand zones.
Use Elliott Wave principles for profit targets.
Filter false signals with volume/momentum confirmation.
It's designed for swing trading and requires combining price action confirmation with the automated signals. The visual elements help traders quickly assess market structure and key levels.
Gaussian Smooth Trend | QuantEdgeB🧠 Introducing Gaussian Smooth Trend (GST) by QuantEdgeB
🛠️ Overview
Gaussian Smooth Trend (GST) is an advanced volatility-filtered trend-following system that blends multiple smoothing techniques into a single directional bias tool. It is purpose-built to reduce noise, isolate meaningful price shifts, and deliver early trend detection while dynamically adapting to market volatility.
GST leverages the Gaussian filter as its core engine, wrapped in a layered framework of DEMA smoothing, SMMA signal tracking, and standard deviation-based breakout thresholds, producing a powerful toolset for trend confirmation and momentum-based decision-making.
🔍 How It Works
1️⃣ DEMA Smoothing Engine
The indicator begins by calculating a Double Exponential Moving Average (DEMA), which provides a responsive and noise-resistant base input for subsequent filtering.
2️⃣ Gaussian Filter
A custom Gaussian kernel is applied to the DEMA signal, allowing the system to detect smooth momentum shifts while filtering out short-term volatility.
This is especially powerful during low-volume or sideways markets where traditional MAs struggle.
3️⃣ SMMA Layer with Z-Filtering
The filtered Gaussian signal is then passed through a custom Smoothed Moving Average (SMMA). A standard deviation envelope is constructed around this SMMA, dynamically expanding/contracting based on market volatility.
4️⃣ Signal Generation
• ✅ Long Signal: Price closes above Upper SD Band
• ❌ Short Signal: Price closes below Lower SD Band
• ➖ No trade: Price stays within the band → market indecision
✨ Key Features
🔹 Multi-Stage Trend Detection
Combines DEMA → Gaussian Kernel → SMMA → SD Bands for robust signal integrity across market conditions.
🔹 Gaussian Adaptive Filtering
Applies a tunable sigma parameter for the Gaussian kernel, enabling you to fine-tune smoothness vs. responsiveness.
🔹 Volatility-Aware Trend Zones
Price must close outside of dynamic SD envelopes to trigger signals — reducing whipsaws and increasing signal quality.
🔹 Dynamic Color-Coded Visualization
Candle coloring and band fills reflect live trend state, making the chart intuitive and fast to read.
⚙️ Custom Settings
• DEMA Source: Price stream used for smoothing (default: close)
• DEMA Length: Period for initial exponential smoothing (default: 7)
• Gaussian Length / Sigma: Controls smoothing strength of kernel filter
• SMMA Length: Final smoothing layer (default: 12)
• SD Length: Lookback period for standard deviation filtering (default: 30)
• SD Mult Up / Down: Adjusts distance of upper/lower breakout zones (default: 2.5 / 1.8)
• Color Modes: Six distinct color palettes (e.g., Strategy, Warm, Cool)
• Signal Labels: Toggle on/off entry markers ("𝓛𝓸𝓷𝓰", "𝓢𝓱𝓸𝓻𝓽")
📌 Trading Applications
✅ Trend-Following → Enter on confirmed breakouts from Gaussian-smoothed volatility zones
✅ Breakout Validation → Use SD bands to avoid false breakouts during chop
✅ Volatility Compression Monitoring → Narrowing bands often precede large directional moves
✅ Overlay-Based Confirmation → Can complement other QuantEdgeB indicators like K-DMI, BMD, or Z-SMMA
📌 Conclusion
Gaussian Smooth Trend (GST) delivers a precision-built trend model tailored for modern traders who demand both clarity and control. The layered signal architecture, combined with volatility awareness and Gaussian signal enhancement, ensures accurate entries, clean visualizations, and actionable trend structure — all in real-time.
🔹 Summary Highlights
1️⃣ Multi-stage Smoothing — DEMA → Gaussian → SMMA for deep signal integrity
2️⃣ Volatility-Aware Filtering — SD bands prevent false entries
3️⃣ Visual Trend Mapping — Gradient fills + candle coloring for clean charts
4️⃣ Highly Customizable — Adapt to your timeframe, style, and volatility
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Gap Days Identifier📌 Gap Days Identifier – Pine Script
This script identifies Gap Up and Gap Down days based on user-defined percentage thresholds. It is designed for daily charts and helps traders spot significant opening gaps relative to the previous day’s close.
🔍 Key Features:
Customizable Thresholds: Input your desired % gap for both Gap Up and Gap Down detection.
Visual Markers: Displays label arrows with actual % gap on the chart (green for Gap Up, red for Gap Down).
Live Statistics Table: Shows total count of Gap Up and Gap Down days based on your filters.
Clean Overlay: Designed to be non-intrusive and easy to interpret for any instrument.
✅ Use Case:
Perfect for traders who track gap-based breakout strategies, news/event impact, or want to filter days with strong overnight sentiment shifts.
3%TRADERS POWER TRENDLINEThe 3%TRADERS POWER TRENDLINE indicator is designed to help traders identify significant trendlines based on pivot points in price data. This indicator draws trendlines by connecting pivot highs and pivot lows, which can help traders visualize trends and potential reversal points in the market.
### Key Features:
- **Lookback Length Pivots:** Customize the lookback period for identifying pivot points.
- **Wicks or Real Bodies:** Choose whether to draw trendlines from wicks or real bodies of the candles.
- **Display Options:** Option to display only falling 'high' and rising 'low' trendlines.
- **Monochrome Lines:** Option to draw trendlines in monochrome or direction-colored lines.
- **Limit Line Extensions:** Set limits for the extensions of the trendlines.
- **Alerts:** Option to enable alerts for trendline breaks.
- **Limit Number of Trendlines:** Limit the number of trendlines displayed on the chart.
- **Log Chart:** Special settings for log scale charts.
## How to Use
1. **Add the Indicator:**
- Open your TradingView chart.
- Click on the "Indicators" button at the top.
- Search for "3%TRADERS TRENDLINE" and add it to your chart.
2. **Configure Input Settings:**
- **Lookback Length Pivots:** Adjust the lookback period to control how far back the indicator looks for pivot points.
- **Wicks or Real Bodies:** Check this option to draw trendlines from the wicks of candles, or uncheck to draw from the real bodies.
- **Display Options:** Choose whether to display only falling 'high' and rising 'low' trendlines.
- **Monochrome Lines:** Check this option to draw all trendlines in a single color, or uncheck to use different colors for rising and falling trendlines.
- **Limit Line Extensions:** Set a limit for how far the trendlines can extend. A value of 0 means infinite extension.
- **Alerts:** Enable this option to receive alerts when trendlines are broken.
- **Limit Number of Trendlines:** Check this option to limit the number of trendlines shown on the chart.
- **Number of Trendlines:** Set the maximum number of trendlines to display if the above option is checked.
- **Log Chart:** Check this option if you are using a logarithmic scale chart.
3. **Interpret the Trendlines:**
- The indicator will draw trendlines connecting pivot highs and pivot lows based on your configuration.
- Rising trendlines are typically drawn in green (or a single color if monochrome is enabled).
- Falling trendlines are typically drawn in red (or a single color if monochrome is enabled).
4. **Monitor for Alerts:**
- If alerts are enabled, the indicator will notify you of trendline breaks, which can signal potential trend reversals or breakout opportunities.
## Example Usage:
- Use the indicator to identify key support and resistance levels based on trendlines.
- Combine with other technical analysis tools to confirm trend reversals or continuation patterns.
- Adjust the lookback length and other settings to fit your trading strategy and the specific asset you are analyzing.
The 3%TRADERS TRENDLINE indicator is a powerful tool for visualizing trends and making informed trading decisions based on key price levels.
