Göstergeler ve stratejiler
CVD Trend IndikatorCVD Trend Indicator (Cumulative Volume Delta)
This Pine Script indicator is designed to help traders visualize the underlying buying and selling pressure in the market by analyzing the Cumulative Volume Delta (CVD). It provides insights into whether buyers or sellers are more aggressive over time, aiding in trend confirmation and potential reversal identification.
How it Works:
The indicator calculates the Cumulative Volume Delta for each candlestick.
If the candle closes higher than it opened (close > open), its entire volume is considered buying volume (positive delta).
If the candle closes lower than it opened (close < open), its entire volume is considered selling volume (negative delta).
If the candle closes at the same price it opened (close == open), its delta is considered zero.
These individual candle deltas are then cumulatively summed up over time, creating the CVD line. A rising CVD indicates increasing buying pressure, while a falling CVD suggests growing selling pressure.
The indicator also features an optional Simple Moving Average (SMA) of the CVD, which helps smooth out the CVD line and identify the prevailing trend in buying/selling pressure more clearly.
Key Features:
Cumulative Volume Delta (CVD) Line:
Rising CVD (Blue Line): Indicates aggressive buying pressure is dominant, supporting bullish price action.
Falling CVD (Blue Line): Suggests aggressive selling pressure is dominant, supporting bearish price action.
CVD Moving Average (Red Line, optional):
A user-defined SMA of the CVD, which acts as a trend filter for the volume delta.
When the CVD crosses above its MA, it can signal increasing buying momentum.
When the CVD crosses below its MA, it can signal increasing selling momentum.
Session Reset:
The CVD automatically resets at the beginning of each new trading session (daily by default). This provides a fresh perspective on the day's accumulated buying or selling pressure, which is particularly useful for day traders.
Background Color Visuals:
The indicator panel's background changes color to visually represent periods of dominant buying pressure (green background when CVD > CVD MA) or selling pressure (red background when CVD < CVD MA), offering a quick glance at the market's underlying bias.
Trading Insights:
Trend Confirmation: Use a rising CVD (and its MA) to confirm an uptrend, or a falling CVD (and its MA) to confirm a downtrend.
Divergences: Look for CVD Divergences as potential reversal signals:
Bullish Divergence: Price makes a lower low, but CVD makes a higher low (suggests selling pressure is weakening).
Bearish Divergence: Price makes a higher high, but CVD makes a lower high (suggests buying pressure is weakening).
Momentum Shifts: Sudden, sharp changes in the CVD's direction or its cross over/under its MA can signal shifts in market momentum.
Support/Resistance Confirmation: Observe CVD behavior around key price levels. Weakening buying pressure at resistance or weakening selling pressure at support can confirm the strength of these levels.
Customization:
showMA: Toggle the visibility of the CVD's Moving Average.
maLength: Adjust the period for the CVD's Moving Average to control its sensitivity to recent price action. A shorter length makes it more reactive, while a longer length makes it smoother.
Disclaimer: No indicator is foolproof. Always use the CVD Trend Indicator in conjunction with other technical analysis tools, price action, and robust risk management strategies. Backtesting and forward testing are crucial for understanding its effectiveness in different market conditions and timeframes.
Money Risk Management with Trade Tracking
Overview
The Money Risk Management with Trade Tracking indicator is a powerful tool designed for traders on TradingView to simplify trade simulation and risk management. Unlike the TradingView Strategy Tester, which can be complex for beginners, this indicator provides an intuitive, beginner-friendly interface to evaluate trading strategies in a realistic manner, mirroring real-world trading conditions.
Built on the foundation of open-source contributions from LuxAlgo and TCP, this indicator integrates external indicator signals, overlays take-profit (TP) and stop-loss (SL) levels, and provides detailed money management analytics. It empowers traders to visualize potential profits, losses, and risk-reward ratios, making it easier to understand the financial outcomes of their strategies.
Key Features
Signal Integration: Seamlessly integrates with external long and short signals from other indicators, allowing traders to overlay TP/SL levels based on their preferred strategies.
Realistic Trade Simulation: Simulates trades as they would occur in real-world scenarios, accounting for initial capital, risk percentage, leverage, and compounding effects.
Money Management Dashboard: Displays critical metrics such as current capital, unrealized P&L, risk amount, potential profit, risk-reward ratio, and trade status in a customizable, beginner-friendly table.
TP/SL Visualization: Plots TP and SL levels on the chart with customizable styles (solid, dashed, dotted) and colors, along with optional labels for clarity.
Performance Tracking: Tracks total trades, win/loss counts, win rate, and profit factor, providing a clear overview of strategy performance.
Liquidation Risk Alerts: Warns traders if stop-loss levels risk liquidation based on leverage settings, enhancing risk awareness.
Benefits for Traders
Beginner-Friendly: Simplifies the complexities of the TradingView Strategy Tester, offering an intuitive interface for new traders to simulate and evaluate trades without confusion.
Real-World Insights: Helps traders understand the actual profit or loss potential of their strategies by factoring in capital, risk, and leverage, bridging the gap between theoretical backtesting and real-world execution.
Enhanced Decision-Making: Provides clear, real-time analytics on risk-reward ratios, unrealized P&L, and trade performance, enabling informed trading decisions.
Customizable and Flexible: Allows customization of TP/SL settings, table positions, colors, and sizes, catering to individual trader preferences.
Risk Management Focus: Encourages disciplined trading by highlighting risk amounts, potential profits, and liquidation risks, fostering better financial planning.
Why This Indicator Stands Out
Many traders struggle to translate backtested strategy results into real-world outcomes due to the abstract nature of percentage-based profitability metrics. This indicator addresses that challenge by providing a practical, user-friendly tool that simulates trades with real-world parameters like capital, leverage, and compounding. Its open-source nature ensures accessibility, while its integration with other indicators makes it versatile for various trading styles.
How to Use
Add to TradingView: Copy the Pine Script code into TradingView’s Pine Editor and add it to your chart.
Configure Inputs: Set your initial capital, risk percentage, leverage, and TP/SL values in the indicator settings. Select external long/short signal sources if integrating with other indicators.
Monitor Dashboards: Use the Money Management and Target Dashboard tables to track trade performance and risk metrics in real time.
Analyze Results: Review win rates, profit factors, and P&L to refine your trading strategy.
Credits
This indicator builds upon the open-source contributions of LuxAlgo and TCP , whose efforts in sharing their code have made this tool possible. Their dedication to the trading community is deeply appreciated.
ORB2The "ORB2" Indicator (Opening Range Breakout 2) is designed to identify the key price range at the beginning of the trading day—commonly referred to as the opening range. Its main purpose is to help traders detect potential breakout points from this range, which are often used as signals for trade entries.
📌 Purpose
The indicator visually marks the highest (high) and lowest (low) price within a defined time interval at the start of the session (e.g., from 09:15 to 09:20). These values form what’s known as the opening range, which is often considered a consolidation zone before the market chooses a direction.
⚙️ How It Works
Time Setup:
The user defines the time window during which the opening range is monitored (default: 09:15–09:20).
The high and low values are tracked within this interval.
Session Detection:
When the defined session begins (is_first), the indicator records the current high and low as the initial ORB levels.
Range Updating:
During the session, if a new candle has a higher high or a lower low than the previously recorded ORB range, the indicator updates the levels accordingly.
Visualization:
The ORB zone is displayed as a shaded area (a blue fill between a green upper line and a red lower line)—but only when applied to intra-day charts with a time interval less than or equal to the specified inputMax (e.g., 5 minutes).
🎯 Purpose and Benefits
Quick breakout detection – Helps traders easily identify when price breaks out of the initial consolidation.
Clear visualization – Highlights the high/low boundaries and range area, making breakout strategies more effective.
Customizability – The user can adjust the session time and the maximum allowed chart resolution for display.
Percent Change of Range Candles📌 Indicator Description: "Percent Change of Range Candles"
This indicator is designed to visualize the percentage price change over a specified number of candles, relative to the historical market range. Instead of traditional candles, it uses a custom "range candle" visualization that reflects relative changes in context with the highest and lowest points within a given period.
🎯 Purpose and Application
The goal of this indicator is to:
Show how much the current price has changed compared to the price length candles ago (default: 100).
Express this change as a percentage of the total price range during that period.
Help traders identify extreme price movements, whether bullish or bearish.
Serve as an additional filter for momentum zones, divergences, or overextended conditions.
⚙️ How It Works
🔹 Core Calculation:
Range: The difference between the highest and lowest price over the selected period (length).
Price Change: The difference between the current close and the close length bars ago.
Percentage Value: (price_change / range) * 100
🔹 Additional Logic:
The synthetic open value is calculated as the average of the last 5 c values.
The high and low of each range candle are adjusted:
If c is negative, the high is replaced with a shorter-term percentage change (25% of length).
If c is positive, the low is adjusted in the same way.
🔹 Visualization:
Displays custom candles based on percentage change, not real price.
Candle color is green if the current value is above the recent average, and red if below.
Horizontal reference lines are drawn at +100, +70, 0, -70, and -100, helping to identify extremes.
✅ Advantages and Use Cases
Detects market extremes and potential reversal zones.
Useful in volatility or momentum-based strategies.
Can serve as a signal filter or divergence detector when combined with other tools (e.g., RSI, MACD).
Options Betting Range - FixedOptions Betting Range
Options Betting Range is a powerful TradingView indicator designed to streamline options trading by visualizing high-probability price ranges for key symbols. With automated trendlines and clear labels, it empowers traders to make precise, data-driven decisions based on customizable prediction and execution dates.
## Key Features
Broad S&P 500 Coverage: Supports most S&P 500 stock symbols, excluding those with insufficient options volume for reliable data, alongside major ETFs and indices like SPY, IWM, QQQ, DIA, TLT, ^GSPC, ^IXIC, ^RUT, ^NDX, and ^SOX.
Automated Trendlines: Plots dashed and solid trendlines to mark high/low price boundaries, triggered only on specified prediction dates for clean, uncluttered charts.
Customizable Inputs: Configure prediction and execution dates to align with your trading strategy.
Clear Visuals: Color-coded labels (green for highs, purple for lows) display price ranges and percentage spreads for rapid decision-making.
Single-Execution Logic: Draws trendlines once per prediction date, ensuring chart clarity and efficiency.
## How It Works
Based on the latest daily open interest data, the indicator calculates swing ranges for different strike dates, drawing trendlines and labels to visualize potential price boundaries for options trading.
## Why Use It?
Streamlined Analysis: Automates range visualization, saving time and reducing manual charting.
Strategic Clarity: Objective price levels minimize emotional bias and enhance trade planning.
Versatile Application: Ideal for day traders, swing traders, and options strategists across multiple markets.
## Tips for Best Use
Regular Updates: To maintain the accuracy of options betting ranges, periodically update the indicator. On the view page, hover over the indicator name and click the blue whirlwind icon to complete the update.
## Get Started
Add Options Betting Range to your TradingView chart, select a supported symbol, and customize your prediction/execution dates. Leverage the visualized price ranges to execute precise options trading strategies with confidence.
Advanced VW SMI w/ Divergence, Confirmations & TableVolume-Weighted SMI with Dynamic Divergence and Confirmation
Description:
This advanced indicator combines the Stochastic Momentum Index (SMI) with volume weighting, dynamic overbought/oversold bands, and robust divergence detection to help you spot true momentum reversals confirmed by volume, trend, and momentum.
Features
Volume-Weighted SMI
The SMI is amplified or dampened based on normalized volume, filtering out low-interest price moves and highlighting those with real conviction.
Dynamic OB/OS Bands
Overbought and oversold levels adapt automatically to current volatility and trend using moving average and standard deviation bands, keeping signals relevant across all market regimes.
Divergence Detection with Visuals
Real-time bullish and bearish divergence signals are drawn right on the SMI line, including lines and labels, making reversal setups easy to spot.
Triple Confirmation
Divergence signals are filtered by:
Volume surge (user adjustable)
RSI extremes (oversold/overbought)
Higher timeframe trend (optional EMA filter)
Customizable Volume Weighting
Adjust how much influence volume has on SMI signals—tune sensitivity to your market and style.
Performance Table
Track bullish/bearish divergence counts in real time.
How to Use
Add to your chart.
(Move to a separate pane for best results.)
Adjust settings to fit your market (lengths, volume power, trend filter, etc.).
Watch for colored SMI moves outside dynamic bands for momentum extremes.
Look for divergences marked by arrows, lines, and labels on the SMI.
Use table count for an overview of signal frequency.
Tips
Works on all timeframes; try adjusting dynamic band length for higher timeframes.
For scalping, lower the SMI and pivot lengths.
For swing trading, enable trend and volume confirmations for higher confidence.
Use with other price action signals for best results.
Created with Pine Script v5.
If you find this helpful, please give it a like or comment!
Candle Setup🧠 This indicator is based on a strategy concept by Arshia from the LEEMEENAL group.
The SMA Shadow Strategy is a visual candlestick-based setup designed to identify potential reversal points by analyzing the relationship between the candle's shadows (wicks) and a Simple Moving Average (SMA).
📊 How It Works
This strategy focuses on candles with significant upper or lower shadows relative to their body size, suggesting potential rejection zones. The conditions are split between red (bearish) and green (bullish) candles:
🔴 Red Candle Setup:
The SMA line is inside or slightly above the upper shadow.
The upper shadow is significantly larger than the body (customizable ratio).
The lower shadow is smaller than the body.
These conditions hint at strong rejection from above, often signaling a potential short opportunity or resistance confirmation.
🟢 Green Candle Setup:
The SMA line is inside or slightly below the lower shadow.
The lower shadow is significantly larger than the body (customizable ratio).
The upper shadow is smaller than the body.
This setup suggests a price rejection from below, indicating a potential long opportunity or support confirmation.
⚙️ Customizable Conditions
Users can enable or disable each of the setup rules independently for both red and green candles:
Enable SMA shadow alignment.
Adjust the shadow-to-body ratio separately for red and green candles.
Toggle shadow logic (e.g., lower/upper shadows relative to body).
🛎 Alerts
Alerts are included for both red and green signal conditions, making it easier to integrate into automated workflows or notification systems.
If you found this indicator helpful, feel free to share or give credit to Arshia - LEEMEENAL Group. 🙏
Buysell Martingale Signal - CustomBuysell Martingale Signal - Custom Indicator
Introduction:
This indicator provides a dynamic buy and sell signal system incorporating an adaptive Martingale logic. Built upon the signalLib_yashgode9/2 library, it is designed for use across various markets and timeframes.
Key Features:
Primary Buy & Sell Signals: Identifies initial buy and sell opportunities based on directional changes derived from the signalLib.
Martingale Signals:
For Short (Sell) Positions: A Martingale Sell signal is triggered when the price moves against the existing short position by a specified stepPercent from the last entry price, indicating a potential opportunity to average down or increase position size.
For Long (Buy) Positions: Similarly, a Martingale Buy signal is triggered when the price moves against the existing long position by a stepPercent from the last entry price.
On-Chart Labels: Displays clear, customizable labels on the chart for primary Buy, Sell, Martingale Buy, and Martingale Sell signals.
Customizable Colors: Allows users to set distinct colors for primary signals and Martingale signals for better visual distinction.
Adjustable Sensitivity: Features configurable parameters (DEPTH_ENGINE, DEVIATION_ENGINE, BACKSTEP_ENGINE) to fine-tune the sensitivity of the underlying signal generation.
Webhook Support (Static Message Alerts): This indicator provides alerts with static messages for both primary and Martingale buy/sell signals. These alerts can be leveraged for automation by external systems (such as trading bots or exchange-provided Webhook Signal Trading services).
Important Note: When using these alerts for automation, an external system is required to handle the complex Martingale logic and position management (e.g., tracking steps, PnL calculation, hedging, dynamic quantity sizing), as this indicator solely focuses on signal generation and sending predefined messages.
How to Use:
Add the indicator to your desired chart.
Adjust the input parameters in the indicator's settings to match your specific trading symbol and timeframe.
For automation, you can set up TradingView alerts for the Buy Signal (Main/Martingale) and Sell Signal (Main/Martingale) conditions, pointing them to your preferred Webhook URL.
Configurable Parameters:
DEPTH_ENGINE: (e.g., 30) Controls the depth of analysis for the signal algorithm.
DEVIATION_ENGINE: (e.g., 5) Defines the allowable deviation for signal generation.
BACKSTEP_ENGINE: (e.g., 5) Specifies the number of historical bars to look back.
Martingale Step Percent: (e.g., 0.5) The percentage price movement against the current position that triggers a Martingale signal.
Labels Transparency: Adjusts the transparency of the on-chart signal labels.
Buy-Color / Sell-Color: Sets the color for primary Buy and Sell signal labels.
Martingale Buy-Color / Martingale Sell-Color: Sets the color for Martingale Buy and Sell signal labels.
Label size: Controls the visual size of the labels.
Label Offset: Adjusts the vertical offset of the labels from the candlesticks.
Risk Warning:
Financial trading inherently carries significant risk. Martingale strategies are particularly high-risk and can lead to substantial losses or even complete liquidation of capital if the market moves strongly and persistently against your position. Always backtest thoroughly and practice with a demo account, fully understanding the associated risks, before engaging with real capital.
Polynomial Deviation BandsThis indicator applies polynomial regression of selectable degree (1st to 4th) to recent price data, fitting a smooth curve that models the underlying price trend more flexibly than linear regression.
Around this polynomial regression line, it plots dynamic deviation bands calculated using a variety of selectable methods—including standard deviation, mean/median absolute deviation, exponential deviation, true range deviation, Hull, Frama, Kaufman adaptive, Gaussian weighted, and quantile deviation—providing a comprehensive view of price volatility and dispersion.
Key Features:
Polynomial regression fit updated on each bar, capturing nonlinear price trends.
Multiple deviation calculation options allow customization of band sensitivity and robustness.
Bands adjust dynamically to changing volatility and price behavior.
Overlay on price chart with optional candle coloring based on trend signals derived from price relative to bands.
Trend signals indicated by price crossing upper or lower bands.
Useful for identifying trend direction, potential support/resistance, and volatility expansion/contraction.
This tool combines advanced statistical modeling with flexible volatility measures to help traders better understand price structure and make informed trading decisions.
The indicator is computationally efficient despite polynomial fitting and offers extensive customization for diverse trading styles and markets.
Disclaimer
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute investment advice. Trading involves risk and may result in financial loss. Always perform your own research and consult with a qualified financial advisor before making any trading decisions.
Options Volatility Strategy Analyzer [TradeDots]The Options Volatility Strategy Analyzer is a specialized tool designed to help traders assess market conditions through a detailed examination of historical volatility, market benchmarks, and percentile-based thresholds. By integrating multiple volatility metrics (including VIX and VIX9D) with color-coded regime detection, the script provides users with clear, actionable insights for selecting appropriate options strategies.
📝 HOW IT WORKS
1. Historical Volatility & Percentile Calculations
Annualized Historical Volatility (HV): The script automatically computes the asset’s historical volatility using log returns over a user-defined period. It then annualizes these values based on the chart’s timeframe, helping you understand the asset’s typical volatility profile.
Dynamic Percentile Ranks: To gauge where the current volatility level stands relative to past behavior, historical volatility values are compared against short, medium, and long lookback periods. Tracking these percentile ranks allows you to quickly see if volatility is high or low compared to historical norms.
2. Multi-Market Benchmark Comparison
VIX and VIX9D Integration: The script tracks market volatility through the VIX and VIX9D indices, comparing them to the asset’s historical volatility. This reveals whether the asset’s volatility is outpacing, lagging, or remaining in sync with broader market volatility conditions.
Market Context Analysis: A built-in term-structure check can detect market stress or relative calm by measuring how VIX compares to shorter-dated volatility (VIX9D). This helps you decide if the present environment is risk-prone or relatively stable.
3. Volatility Regime Detection
Color-Coded Background: The analyzer assigns a volatility regime (e.g., “High Asset Vol,” “Low Asset Vol,” “Outpacing Market,” etc.) based on current historical volatility percentile levels and asset vs. market ratios. A color-coded background highlights the regime, enabling traders to quickly interpret the market’s mood.
Alerts on Regime Changes & Spikes: Automated alerts warn you about any significant expansions or contractions in volatility, allowing you to react swiftly in changing conditions.
4. Strategy Forecast Table
Real-Time Strategy Suggestions: At the close of each bar, an on-chart table generates suggested options strategies (e.g., selling premium in high volatility or buying premium in low volatility). These suggestions provide a quick summary of potential tactics suited to the current regime.
Contextual Market Data: The table also displays key statistics, such as VIX levels, asset historical volatility percentile, or ratio comparisons, helping you confirm whether volatility conditions warrant more conservative or more aggressive strategies.
🛠️ HOW TO USE
1. Select Your Timeframe: The script supports multiple timeframes. For short-term trading, intraday charts often reveal faster shifts in volatility. For swing or position trading, daily or weekly charts may be more stable and produce fewer false signals.
2. Check the Volatility Regime: Observe the background color and on-chart labels to identify the current regime (e.g., “HIGH ASSET VOL,” “LOW VOL + LAGGING,” etc.).
3. Review the Forecast Table: The table suggests strategy ideas (e.g., iron condors, long straddles, ratio spreads) depending on whether volatility is elevated, subdued, or spiking. Use these as a starting point for designing trades that match your risk tolerance.
4. Combine with Additional Analysis: For optimal results, confirm signals with your broader trading plan, technical tools (moving averages, price action), and fundamental research. This script is most effective when viewed as one component in a comprehensive decision-making process.
❗️LIMITATIONS
Directional Neutrality: This indicator analyzes volatility environments but does not predict price direction (up/down). Traders must combine with directional analysis for complete strategy selection.
Late or Missed Signals: Since all calculations require a bar to close, sharp intrabar volatility moves may not appear in real-time.
False Positives in Choppy Markets: Rapid changes in percentile ranks or VIX movements can generate conflicting or premature regime shifts.
Data Sensitivity: Accuracy depends on the availability and stability of volatility data. Significant gaps or unusual market conditions may skew results.
Market Correlation Assumptions: The system assumes assets generally correlate with S&P 500 volatility patterns. May be less effective for:
Small-cap stocks with unique volatility drivers
International stocks with different market dynamics
Sector-specific events disconnected from broad market
Cryptocurrency-related assets with independent volatility patterns
RISK DISCLAIMER
Options trading involves substantial risk and is not suitable for all investors. Options strategies can result in significant losses, including the total loss of premium paid. The complexity of options strategies requires thorough understanding of the risks involved.
This indicator provides volatility analysis for educational and informational purposes only and should not be considered as investment advice. Past volatility patterns do not guarantee future performance. Market conditions can change rapidly, and volatility regimes may shift without warning.
No trading system can guarantee profits, and all trading involves the risk of loss. The indicator's regime classifications and strategy suggestions should be used as part of a comprehensive trading plan that includes proper risk management, directional analysis, and consideration of broader market conditions.
Kaufman Trend Strength Signal█ Overview
Kaufman Trend Strength Signal is an advanced trend detection tool that decomposes price action into its underlying directional trend and localized oscillation using a vector-based Kalman Filter.
By integrating adaptive smoothing and dynamic weighting via a weighted moving average (WMA), this indicator provides real-time insight into both trend direction and trend strength — something standard moving averages often fail to capture.
The core model assumes that observed price consists of two components:
(1) a directional trend, and
(2) localized noise or oscillation.
Using a two-step Predict & Update cycle, the filter continuously refines its trend estimate as new market data becomes available.
█ How It Works
This indicator employs a Kalman Filter model that separates the trend from short-term fluctuations in a price series.
Predict & Update Cycle : With each new bar, the filter predicts the price state and updates that prediction using the latest observed price, producing a smooth but adaptive trend line.
Trend Strength Normalization : Internally, the oscillator component is normalized against recent values (N periods) to calculate a trend strength score between -100 and +100.
(Note: The oscillator is not plotted on the chart but is used for signal generation.)
Filtered MA Line : The trend component is plotted as a smooth Kalman Filter-based moving average (MA) line on the main chart.
Threshold Cross Signals : When the internal trend strength crosses a user-defined threshold (default: ±60), visual entry arrows are displayed to signal momentum shifts.
█ Key Features
Adaptive Trend Estimation : Real-time filtering that adjusts dynamically to market changes.
Visual Buy/Sell Signals : Entry arrows appear when the trend strength crosses above or below the configured threshold.
Built-in Range Filter : The MA line turns blue when trend strength is weak (|value| < 10), helping you filter out choppy, sideways conditions.
█ How to Use
Trend Detection :
• Green MA = bullish trend
• Red MA = bearish trend
• Blue MA = no trend / ranging market
Entry Signals :
• Green triangle = trend strength crossed above +Threshold → potential bullish entry
• Red triangle = trend strength crossed below -Threshold → potential bearish entry
█ Settings
Entry Threshold : Level at which the trend strength triggers entry signals (default: 60)
Process Noise 1 & 2 : Control the filter’s responsiveness to recent price action. Higher = more reactive; lower = smoother.
Measurement Noise : Sets how much the filter "trusts" price data. High = smoother MA, low = faster response but more noise.
Trend Lookback (N2) : Number of bars used to normalize trend strength. Lower = more sensitive; higher = more stable.
Trend Smoothness (R2) : WMA smoothing applied to the trend strength calculation.
█ Visual Guide
Green MA Line → Bullish trend
Red MA Line → Bearish trend
Blue MA Line → Sideways/range
Green Triangle → Entry signal (trend strengthening)
Red Triangle → Entry signal (trend weakening)
█ Best Practices
In high-volatility conditions, increase Measurement Noise to reduce false signals.
Combine with other indicators (e.g., RSI, MACD, EMA) for confirmation and filtering.
Adjust "Entry Threshold" and noise settings depending on your timeframe and trading style.
❗ Disclaimer
This script is provided for educational purposes only and should not be considered financial advice or a recommendation to buy/sell any asset.
Trading involves risk. Past performance does not guarantee future results.
Always perform your own analysis and use proper risk management when trading.
5th Candle Breakout (Selected Date)✅ How to Use
🔁 Set the targetDate input to any date you want to test the setup on.
🕒 Use this on 30-minute timeframe.
📊 Works great on NIFTY, BANKNIFTY, or any F&O instrument.
📌 Uses body-close breakout during 6th or 7th candle.
🎯 Plots real entry, SL, and 1x target.
Shooting Star ORB🧠 Indicator Name: "First Candle Shooting Star + ORB"
📌 Purpose
This indicator detects when the first candle of the day forms a Shooting Star pattern and then monitors for a breakout beyond its range. It visually marks the pattern and the breakout with boxes and provides real-time alerts and a status table.
🔍 What It Does Step-by-Step
1. 📅 Detects the Start of a New Trading Day
Uses ta.change(time("D")) to identify a new trading day.
When a new day starts, it checks if the very first candle of the session is a Shooting Star.
2. 🕯️ Identifies a Shooting Star Pattern
A candle is labeled a Shooting Star if:
It has a small body compared to the full candle range.
It has a long upper shadow at least 2× the body.
It has a short or tiny lower shadow.
All these criteria are adjustable through inputs.
3. 📦 Draws a Box for the First Candle Range
If a Shooting Star is found in the first candle of the day:
It draws a red shaded box covering the high and low of that candle.
The box visually marks the potential Opening Range.
4. 💥 Detects Breakout from Shooting Star Candle
After the first candle:
If price moves above or below the range by a specified % (like 1%), it flags a breakout.
A blue shaded box is drawn at the breakout candle for visual confirmation.
5. 🔔 Alerts
🔴 Shooting Star Detected: Alerts when the first candle is a shooting star.
🔵 Breakout Detected: Alerts when the price breaks out of the first candle’s range.
6. 📊 Displays Real-Time Info Table
A small table is shown on the chart:
🕯️ Pattern: “Shooting Star” or blank
💥 Breakout: “Yes” or “No”
⏱️ The timeframe being analyzed (e.g., “5” for 5-minute)
Optimized Trend [DaviddTech]Optimized Trend is a comprehensive trend-following indicator that combines multiple analytical techniques for improved decision-making.
Key Features:
Zero-Lag Exponential Moving Average (ZLEMA) to reduce lag and track price movements more effectively.
Adaptive Lag Control: The lag of the ZLEMA can be automatically adjusted based on market volatility (ATR), or manually set for user preference.
Composite Score: A weighted measure combining ZLEMA momentum, short-term price changes, ATR-based volatility, and money flow (using Chaikin Money Flow and Money Flow Index). This creates a 0–100 score reflecting overall market strength.
Dynamic Bands: ATR-based upper and lower bands shift depending on price relative to the ZLEMA, acting as dynamic support/resistance.
Trend Cross Alerts: Plots buy and sell dots when the price crosses the ZLEMA for quick trade signals.
Summary Table: Displays key data including composite score, volatility, trend direction, current lag setting, and a market narrative.
Uniqueness & Research Basis:
This indicator incorporates an adaptive lag mechanism tied to ATR volatility, making the trendline more responsive during high volatility and smoother during calmer markets. It also blends multiple volume/flow metrics into a single money flow component, delivering a synthesized view of market strength not found in traditional ZLEMA tools.
How to Use:
Identify Trend Direction: Use the ZLEMA color (teal for bullish, maroon for bearish) and composite score to confirm market bias.
Monitor Bands: Price reaching the upper band (red fill) may indicate overbought conditions, while the lower band (green fill) may signal oversold conditions.
Entry/Exit Signals: Watch for the plotted (buy) and (sell) dots as potential trade signals.
Fine-Tune Sensitivity: Adjust ZLEMA length and lag settings in the inputs to better match your trading timeframe and style.
Adaptive Lag: Enable or disable to see how dynamic volatility affects responsiveness.
This indicator is designed for educational purposes only and should be used with additional confirmation and risk management in your trading plan.
RSI mapRSI MAP
plot on graph
.................................................
..............................
BBS – Bond Breadth Signal"When bonds scream, breadth collapses, and fear spikes — BBS listens."
🧠 BBS – Bond Breadth Signal
A reversal timing tool built on macro conviction, not price noise.
The Bond Breadth Signal (BBS) was developed to identify major market inflection points by combining four key market stress indicators:
1) 10-Year Yield ROC – Measures sharp moves in the bond market
2) Z-Score of the 10Y – Captures statistical extremes
3) NSHF (Net Highs–Lows) – Signals internal market strength or weakness
4) TLT ROC + VIX – Confirmations of flight to safety and volatility-driven fear
When all conditions align, BBS marks either a For-Sure Buy or For-Sure Sell — these are rare, high-confidence signals designed to cut through noise and focus on true market dislocations.
🔧 Features:
-Background color and signal arrows on confirmation days
-Signals remain visually active for 3 days for added clarity
-Fully adjustable thresholds and alert toggles
-Plot panel for yield, TLT, NSHF, VIX, and Z-score visuals
This tool isn’t designed to fire every day. It’s meant to wait for those moments when the market truly bends — not just wiggles.
Best used on major indices (SPY, QQQ, IWM) to assess macro turning points.
Institutional MFI + VWAP Engine PROMoney flow index, shows green when momentum is bullish and red when bearish
Institutional Momentum PROBullish and bearish momentum, showing potential exhaustion on the long side and short side
Chaikin Oscillator with EMA and AlertsOverview
This indicator plots the classic Chaikin Oscillator along with an EMA overlay to help identify changes in accumulation or distribution momentum. It includes visual markers and built-in alerts for key crossover events such as crossing the zero line and crossing above or below the Chaikin EMA.
Concepts
The Chaikin Oscillator is calculated as the difference between two EMAs of Accumulation/Distribution (A/D) volume. It is used to measure the momentum behind buying and selling pressure. An EMA is applied to the oscillator itself to smooth out signals and provide an additional layer of trend confirmation. Crossovers above or below zero, and above or below the EMA, are interpreted as potential signals of market sentiment shifts.
How to Use the Indicator
Apply the indicator to any chart and select your preferred short, long, and EMA lengths. The script will plot the Chaikin Oscillator in teal and its EMA in red. Triangles and labels will appear on the chart when the oscillator crosses above or below the zero line, or when it crosses its EMA. Green triangles indicate bullish zero-line crossovers, while red triangles indicate bearish ones. Lime and maroon labels signal EMA crossovers. Use these signals to assess momentum shifts and potential entry or exit points.
Interpretation
When the Chaikin Oscillator is above zero and rising, it suggests strong buying pressure. When it is below zero and falling, it suggests strong selling pressure. A crossover above the EMA may indicate an emerging bullish trend, while a crossover below the EMA may suggest increasing bearish momentum. Using both the zero line and EMA crossover together helps filter noise and improves reliability of momentum-based signals.
Notes
The indicator includes four alert conditions that can be enabled in TradingView to notify you of Chaikin Oscillator crossovers. It works across all asset classes and timeframes. This tool is especially useful for identifying momentum shifts ahead of price moves and for confirming volume-based signals in trend continuation or reversal scenarios. Adjust input lengths to suit your trading style or the volatility of the instrument you are analyzing.
Sniper vX∞.2.M.1 — Elite UX EditionThis is part 2z
add to part one
They make it complete
This is dicription that’s needed
