Support and Resistance all in one The Support and Resistance Indicator (v4) is designed to identify and track key price levels in financial markets. Here's how it works:
Core Functionality
Level Detection
Uses pivot points to identify significant price levels
Looks for swing highs (resistance) and swing lows (support)
Requires price action to pivot over a specified period (default 10 bars)
Dynamic Level Management
Maintains separate arrays for support and resistance levels
Limits maximum displayed levels (default 10) to prevent chart clutter
Removes oldest levels when maximum is reached
Ensures new levels are sufficiently distant from existing ones (minimum 1% separation)
Touch Detection System
Monitors price interaction with established levels
Counts when price comes within 0.1% of any level
Updates touch count and strength classification
Categories: "New" (1 touch), "Moderate" (2 touches), "Strong" (3+ touches)
Visual Representation
Draws horizontal lines at each level
Updates line width based on strength (thicker for stronger levels)
Shows labels with price and strength information
Color coding: Red (new/moderate levels), Green (strong levels)
Displays triangles (▼▲) at pivot points
Trading Applications
Support/Resistance Trading
Strong levels (3+ touches) suggest reliable trading zones
More touches indicate higher probability reversal points
Use for stop loss and target placement
Breakout Trading
Monitor breaks of strong levels
Higher touch count suggests more significant breakouts
Watch for false breakouts at weaker levels
Risk Management
Place stops beyond strong levels
Use level strength to adjust position size
Consider multiple timeframe analysis
Best Practices
Use with other indicators for confirmation
Consider market context and trend
Monitor level strength development
Don't rely solely on touch count
Watch for price reaction at levels
Customization Options
Adjust pivot length for different timeframes
Modify minimum distance between levels
Change required touches for "Strong" classification
Toggle strength labels display
Choose line style (Solid/Dashed/Dotted)
This indicator helps identify key price levels where market participants have shown interest, making it valuable for trade planning and risk management
Analisis Tren
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
Adaptive Resonance Oscillator [AlgoAlpha]Introducing the Adaptive Resonance Oscillator , an advanced momentum-based oscillator designed to dynamically adjust to changing market conditions. This innovative indicator detects market frequency through a Hilbert Transform approach, adapting in real-time to identify overbought and oversold conditions with improved accuracy. With built-in divergence detection, trend analysis, and customizable smoothing, this tool is perfect for traders looking to refine their entries and exits based on adaptive oscillation mechanics.
🚀 Key Features :
🔹 Adaptive Frequency Detection – Uses Hilbert Transform principles to dynamically determine market cycle length for precise oscillator calculation.
⚙️ Customizable Smoothing – Option to apply a Hull Moving Average (HMA) for enhanced signal clarity.
📈 Divergence Detection – Identifies bullish and bearish divergences with visual markers, helping traders spot early trend reversals.
🟢 Overbought & Oversold Signals – Highlights extreme momentum conditions with adjustable thresholds.
🔔 Real-Time Alerts – Get notified for crossovers, divergences, and strong trend shifts directly on your TradingView chart.
🎨 Fully Customizable Appearance – Modify colors, divergence sensitivity, and smoothing options to fit your trading style.
🛠 How to Use :
Add the Adaptive Resonance Oscillator to your TradingView chart by clicking the ★ to favorite it.
Monitor the Charts , switch between smoothed and I smoothed modes to identify trend and price swings, use divergences and reversal signals for potential entry/exits.
Set alerts for bullish/bearish crossovers and divergence signals to stay ahead of market moves.
⚙ How It Works :
The indicator begins by applying a Hilbert Transform frequency estimation to the price series, identifying the dominant market cycle length. This is used to calculate a period for the RSI that matches its resonant frequency with the dominant market frequency, dynamically adjusting the Oscillator. The oscillator then applies an optional Hull Moving Average (HMA) smoothing for signal refinement. Additionally, the indicator scans for bullish and bearish divergences by comparing oscillator movements against price action, plotting signals accordingly. When overbought/oversold conditions or divergence events occur, alerts are triggered to notify the trader in real time.
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG🔵 Introduction
ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low).
In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity.
In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction.
In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next session’s price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity.
However, for a trend shift to be confirmed, the CISD Level must be broken.
Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points.
Bullish Setup :
Bearish Setup :
🔵 How to Use
In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity.
This process can occur in two scenarios : bearish and bullish setups.
🟣 Bullish Setup
In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions.
After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity.
The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set.
The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG.
🟣 Bearish Setup
In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions.
After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity.
The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered.
The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG.
🔵 Setting
CISD Bar Back Check : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
Order Block Validity : The number of candles that determine the validity of an Order Block.
FVG Validity : The duration for which a Fair Value Gap remains valid.
CISD Level Validity : The duration for which a CISD Level remains valid after being broken.
New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST.
New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
Demand Order Block : Enables or disables bullish Order Block.
Supply Order Block : Enables or disables bearish Order Blocks.
Demand FVG : Enables or disables bullish FVG.
Supply FVG : Enables or disables bearish FVGs.
Show All CISD : Enables or disables the display of all CISD Levels.
Show High CISD : Enables or disables high CISD levels.
Show Low CISD : Enables or disables low CISD levels.
🔵 Conclusion
The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level.
Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework.
Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
[EmreKb] Pinbar AnalysisDescription
The Pinbar Analyzer tool will count how many ltf candles are inside the wick and the total volume inside the wick.
How it works?
Calculate candle count of inside wick and volumes. Than display like below image
T/iW: Total Candle / Total inside Wick
ROiW: Rate of inside wick candle count
TV/WV: Total volume / Wick volume
Median Deviation Bands | QuantumResearchIntroducing QuantumResearch’s Median Deviation Bands Indicator
The Median Deviation Bands indicator is an advanced volatility-based tool designed to help traders identify price trends, market reversals, and potential trading opportunities.
By using a percentile-based median baseline combined with standard deviation bands, this indicator provides a dynamic framework for analyzing price movements and assessing market volatility.
How It Works
Baseline Calculation:
The median price over a user-defined period (default: 50) is calculated using the 50th percentile of price data.
This serves as the central reference point for trend analysis.
Trend Identification:
Bullish Trend: Occurs when the price crosses above the baseline.
Bearish Trend: Occurs when the price crosses below the baseline.
Deviation Bands:
The indicator plots three sets of upper and lower bands, representing 1x, 2x, and 3x standard deviations from the median.
These bands act as dynamic support and resistance zones, helping traders identify overbought and oversold conditions.
Visual Representation
The Median Deviation Bands indicator offers a clear, customizable visual layout:
Color-Coded Baseline:
Green (Bullish): Price is above the median.
Red (Bearish): Price is below the median.
Deviation Bands:
First Band (Light Fill): Represents 1 standard deviation from the baseline.
Second Band (Medium Fill): Represents 2 standard deviations, highlighting stronger trends.
Third Band (Dark Fill): Represents 3 standard deviations, showing extreme price conditions.
Trend Markers:
Green Up Arrows: Indicate the start of a bullish trend when price crosses above the baseline.
Red Down Arrows: Indicate the start of a bearish trend when price crosses below the baseline.
Customization & Parameters
The Median Deviation Bands indicator includes multiple user-configurable settings to adapt to different trading strategies:
Baseline Length: Default set to 50, determines the lookback period for median calculation.
Source Price: Selectable input price for calculations (default: close).
Band Visibility: Traders can toggle individual deviation bands on or off to match their preferences.
Trend Markers: Option to enable or disable up/down trend arrows.
Color Modes: Choose from eight color schemes to customize the indicator’s appearance.
Trading Applications
This indicator is highly versatile and can be applied to multiple trading strategies, including:
Volatility-Based Trading: Price movement within and outside the bands helps traders gauge volatility and market conditions.
Trend Following: The baseline and deviation bands help confirm ongoing trends.
Mean Reversion Strategies: Traders can look for price reactions at extreme bands (±3 standard deviations).
Final Note
QuantumResearch’s Median Deviation Bands indicator provides a unique approach to market analysis by integrating percentile-based median price levels with standard deviation-based volatility bands.
This combination helps traders understand price behavior in relation to historical volatility, making it a valuable tool for both trend-following and mean-reversion strategies.
As always, backtesting and customization are recommended to optimize performance across different market conditions.
FX PIPS Finder OBBreakout , CHOCH, IDM, Liquidity
Features and Functionality
Custom Timeframe and High-Low Detection
Allows users to select a custom timeframe (default: 30 minutes) to detect high and low levels.
Tracks the high and low within a user-specified period (e.g., first 30 minutes of the session).
Draws horizontal lines for high and low, persisting for a specified number of days.
XAUUSD STRATGEY BUY AND SELL SIGNALSThe XAUUSD buy and sell is designed to enhance trading strategies by pinpointing essential price levels and trends on an ATR and stochastic. It effectively charts the opening prices of moving average and 4-hour candles, visualizes retests, showcases average price lines, and integrates higher timeframe candlesticks. This system is ideal for traders who take advantage of short-term price fluctuations and volume trends.
Understanding the XAUUSD BUY SELL
This indicator marks crucial price levels derived from the opening prices of stochastic and 4-hour candles. It detects retests of these levels, computes average prices, and highlights the high and low points for each hour. Additionally, it incorporates higher-timeframe candlesticks to offer a well-rounded perspective on price movements.
Essential Features:
Stochastic and 4-Hour Opens: Clear indicators for important price levels.
Retest Detection: Emphasizes price retests at hourly open levels.
Average Price Lines: Provides average prices for enhanced trend evaluation.
High and Low Indicators: Identifies hourly high and low points.
How to Utilize the XAUUSD BUY AND SELL
Trend Evaluation: leverage moving average and 4-hour levels to pinpoint potential support and resistance zones, aiding traders in making informed entry and exit decisions.
Retest Approach: Monitor retests at hourly opens to identify possible reversals or continuations of trends.
Liquidity Sweep Approach: Spot key levels where liquidity is expected to gather, such as previous hour highs and lows, to seize rapid price movements.
Equal Highs and Lows Approach: Analyze repeated highs or lows to determine robust support or resistance levels and predict significant price shifts.
Benefits of the XAUUSD BUY and sell
Adjustable Zone Width: Modify the width around the 1-Hour Open to customize the zone.
Retest Indicators: Toggle markers that indicate price retests on or off.
Volume Filter: Emphasize retests accompanied by substantial volume to minimize distractions.
1-Hour Average Line: Present the average price from the last hour for trend assessment.
Hourly High & Low Indicators: Mark the highest and lowest prices within each hour for quick reference.
Conclusion
The XAUUSD buy and sell is an invaluable tool for intraday traders. By providing a detailed and dynamic view of price levels, trends, and retests, it enhances decision-making and helps capture short-term trading opportunities.
SMA Crossover Strategy by AARYAN Buy Signal: When the 50-period SMA crosses above the 200-period SMA
Sell Signal: When the 50-period SMA crosses below the 200-period SMA
This script also includes:
✔️ Visual buy/sell markers on the chart
✔️ Alerts for buy and sell signals
✔️ Backtesting capability to analyze past performance
Combined SmartComment & Dynamic S/R LevelsDescription:
The Combined SmartComment & Dynamic S/R Levels script is designed to provide valuable insights for traders using TradingView. It integrates dynamic support and resistance levels with a powerful Intelligent Comment system to enhance decision-making. The Intelligent Comment feature generates market commentary based on key technical indicators, delivering real-time actionable feedback that helps optimize trading strategies.
Intelligent Comment Feature:
The Intelligent Comment function continuously analyzes market conditions and offers relevant insights based on combinations of various technical indicators such as RSI, ATR, MACD, WMA, and others. These comments help traders identify potential price movements, highlighting opportunities to buy, sell, or wait.
Examples of the insights provided by the system include:
RSI in overbought/oversold and price near resistance/support: Indicates potential price reversal points.
Price above VAH and volume increasing: Suggests a strengthening uptrend.
Price near dynamic support/resistance: Alerts when price approaches critical support or resistance zones.
MACD crossovers and RSI movements: Provide signals for potential trend shifts or continuations.
Indicators Used:
RSI (Relative Strength Index)
ATR (Average True Range)
MACD (Moving Average Convergence Divergence)
WMA (Weighted Moving Average)
POC (Point of Control)
Bollinger Bands
SuperSignal
Volume
EMA (Exponential Moving Average)
Dynamic Support/Resistance Levels
How It Works:
The script performs real-time market analysis, assessing multiple technical indicators to generate Intelligent Comments. These comments provide traders with timely guidance on potential market movements, assisting with decision-making in a dynamic market environment. The script also integrates dynamic support and resistance levels to further enhance trading accuracy.
Smoothed Heiken Ashi Strategy Overlay ZonesThe Smoothed Heiken Ashi Strategy Overlay Zones is a custom TradingView indicator designed to refine trend analysis and provide clear buy/sell signals by leveraging smoothed Heiken Ashi calculations.
Key Features:
✅ Smoothed Heiken Ashi Candles
Traditional Heiken Ashi values are enhanced using a multi-layered EMA smoothing technique, reducing market noise and providing a clearer trend direction.
✅ Buy & Sell Zone Visualization
Background Color Highlights:
🟩 Green for Bullish Trends
🟥 Red for Bearish Trends
✅ Trade Signals & Alerts
🔼 Buy Signal: Triggers when a bullish trend starts.
🔽 Sell Signal: Activates when a bearish trend begins.
🔔 Custom Alerts: Notifies traders when buy or sell zones are activated.
This indicator is ideal for trend-following traders looking for a smoother representation of price action while reducing false signals in volatile markets.
Perfect Sell Signal//@version=5
indicator("Perfect Sell Signal", overlay=true)
// Define parameters
shortTermEMA = input.int(9, title="Short Term EMA")
longTermEMA = input.int(21, title="Long Term EMA")
rsiPeriod = input.int(14, title="RSI Period")
rsiOverboughtLevel = input.int(70, title="RSI Overbought Level")
rsiOversoldLevel = input.int(30, title="RSI Oversold Level")
// Calculate the EMAs
shortEMA = ta.ema(close, shortTermEMA)
longEMA = ta.ema(close, longTermEMA)
// Calculate the RSI
rsi = ta.rsi(close, rsiPeriod)
// Define conditions for a sell signal
emaCrossover = ta.crossover(shortEMA, longEMA) // Short-term EMA crossing below long-term EMA
rsiOverboughtCondition = rsi > rsiOverboughtLevel // RSI in overbought region
// Sell condition (stronger signal when both EMA crossover and RSI indicate overbought)
sellSignal = emaCrossover and rsiOverboughtCondition
// Plot the signals on the chart
plotshape(sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal", text="SELL")
// Plot the EMAs on the chart for reference
plot(shortEMA, color=color.blue, title="Short-term EMA")
plot(longEMA, color=color.orange, title="Long-term EMA")
sandip StrategySandip Strategy for TradingView
1. Setup on TradingView
Open TradingView and choose your trading pair (e.g., BTC/USD, NIFTY, etc.).
Use a Candlestick Chart with at least 1-hour or daily timeframes for better accuracy.
Add Gann Tools from TradingView:
Gann Fan
Gann Square
Gann Box
2. Identify Key Levels
Use Gann Fan from a major swing low or high.
The 1x1 (45-degree) line is crucial; price above it is bullish, below it is bearish.
Watch how price interacts with 2x1, 3x1, 4x1 and 1x2, 1x3 angles.
3. Time & Price Cycles
Identify Gann Time Cycles (e.g., 30, 45, 90, 180, 360 days).
Use Fibonacci time zones along with Gann time cycles.
Look for reversals at significant time cycles.
4. Entry & Exit Strategy
Bullish Setup
Price bouncing off the 1x1 line or 2x1 angle (Support).
Entry: Buy when price holds above the 1x1 line.
Stop-Loss: Below the 1x2 angle.
Target: Next resistance level (Gann angle).
Bearish Setup
Price failing at the 1x1 or 1x2 line (Resistance).
Entry: Sell when price stays below the 1x1 angle.
Stop-Loss: Above the 2x1 line.
Target: Next support level (Gann angle).
5. Confirmation Indicators
Combine with RSI (Relative Strength Index) & MACD.
Use Volume Analysis to confirm breakout/breakdown.
Check for candlestick patterns (e.g., Doji, Engulfing).
Back to the Future with Enhanced Tool for Lower Timeframes. Back to the Future (Linear Regression)
This section uses linear regression to analyze price trends and predict future movements.
Key Parameters:
len & len1: Defines the length of the regression calculation.
dev & dev1: Multiplier for deviation bands.
Color and Style Settings: Customizes regression lines and deviation bands.
How It Works:
It calculates a linear regression line based on price data.
Deviation bands (similar to Bollinger Bands) are plotted to identify price volatility.
The slope and intercept of the regression line help determine potential price trends.
The indicator dynamically updates these trendlines and deviation bands on the chart.
2. Enhanced Tool for Lower Timeframes
This section enhances intraday and scalping strategies by using EMAs, ATR-based stop-losses, volume-based target multipliers, and ADX for trend strength filtering.
Key Features & Calculations:
Exponential Moving Averages (EMAs)
shortEMALen = 5, longEMALen = 20
Used to identify trend direction and generate buy/sell signals based on crossovers.
ATR-based Stop-Loss & Targets
atrPeriod = 7
ATR (Average True Range) helps calculate dynamic stop-loss and target levels.
Targets are adjusted based on volume conditions:
If volume > volumeThreshold, Target 2 is calculated using a higher multiplier.
ADX for Trend Strength Filtering
adxLength = 10, adxThreshold = 15
ADX (Average Directional Index) ensures signals are taken only in strong trends.
Buy and Sell Conditions
Buy Signal: When short EMA crosses above long EMA & ADX > adxThreshold.
Sell Signal: When short EMA crosses below long EMA & ADX > adxThreshold.
Dynamic Stop-Loss and Profit Targets
Long trades: Stop-loss is set below the entry price by ATR value.
Short trades: Stop-loss is set above the entry price by ATR value.
Two target levels are calculated dynamically.
3. Visual Representation
Plots EMA lines for trend identification.
Plots ADX line to indicate trend strength.
Draws dynamic lines and labels for:
Entry price
Stop-loss
Target 1 and Target 2
Uses different colors to differentiate buy/sell conditions.
4. Additional Features
Risk-Reward Settings: Adjusts risk-reward ratio for custom target levels.
Session Adaptability: Works well on lower timeframes, making it ideal for scalping & intraday trading.
Volume-Based Adjustments: Uses higher target multipliers during high-volume conditions.
Summary
This is a highly advanced, multi-featured indicator that combines trend analysis, momentum filtering, and ATR-based risk management into a single powerful tool for intraday traders. It provides clear buy/sell signals and dynamically adjusts stop-loss and profit targets based on real-time market conditions.
Elite Trading Academy VolumeWithin any trading strategy you are looking for confluence.
This indicator will show you when trading volumes correspond with price action. If you see divergence then you act accordingly
Look for the lows and the highs of the indicator, and follow the strategy.
Valid H-L(Ichimoku Version)[Indicator-Chef]Live Movement form tenkan-sen and pasive form of other components before this signal!
This code is MTF and Multi Chart with Alarn!
Sree Bot Intraday - Enhanced (v6)Key Features
Configurable Inputs:
a: Sensitivity key value (default 1).
c: ATR period (default 10).
h: Option to use Heikin Ashi candles instead of standard candles.
ATR-Based Trailing Stop Calculation:
Uses Average True Range (ATR) to determine dynamic trailing stops.
Stops adjust based on market movements, ensuring trailing flexibility.
Buy/Sell Signal Logic:
Buy: When the price crosses above the trailing stop.
Sell: When the price crosses below the trailing stop.
Uses EMA (Exponential Moving Average) for confirmation.
Visual Indicators:
Green/Red arrows appear on the chart to indicate Buy/Sell signals.
Bar colors turn green for bullish and red for bearish trends.
Alerts Integration:
Alerts trigger for buy (UT Long) and sell (UT Short) signals.
Brokerir - Order BlocksOrder Block Trading Script
Effectively Identify Supply and Demand Zones
In order to trade order blocks effectively, you need to identify key areas on the price chart where a large move has occurred. This script does the hard work of drawing order blocks for you, saving you time and effort.
Blue OB (Supply): Look for short opportunities (sell).
Green OB (Demand): Look for long opportunities (buy).
Important Notice:
Not every order block will be a valid buying or selling point. It’s essential to confirm order blocks with additional analysis to ensure reliability.
Alert System:
You can set two types of alerts with this script:
Buy Alert
Sell Alert
What are Order Blocks?
Order blocks are significant institutional buy or sell orders placed over a certain period. During these moments, institutional players are working to build up their positions, and these blocks often serve as strong support or resistance levels for future price action.
Release Notes – Published on Jan 25, 2025
Updated to PineScript v5 for enhanced performance.
Fixed alert bug for more reliable notifications.
Added clearer comments to improve code readability.
Added the option to customize the color of order blocks.
Fibonacci Reversal FinderPurpose of the indicator
This indicator is designed to identify potential reversal points on a price chart using Fibonacci retracement levels combined with price action confirmation. It generates buy and sell signals based on retracement levels and price action patterns, providing entry points along with stop-loss (SL) and take-profit (TP) targets.
How It Works
1. Input Settings for Fibonacci Levels
The script allows the user to input Fibonacci retracement levels (default: 0.618 and 0.786).
These levels are extracted from a string and converted into an array for later calculations.
2. Convert String to Fibonacci Retracement Values
The script retrieves the two selected Fibonacci levels and ensures they are correctly converted to float values.
3. Detect Swing High and Swing Low
Identifies swing high and swing low over the past 20 bars.
These values serve as reference points for Fibonacci retracement calculations.
4. Calculate Fibonacci Retracement Levels
Computes retracement levels based on swing high/low and the selected Fibonacci ratios.
5. Price Action Confirmation (Optional)
The indicator checks for bullish engulfing and bearish engulfing candlestick patterns as an additional confirmation method.
6. Define Buy & Sell Conditions
Buy Signal: If price touches the Fibonacci support levels AND (optionally) a bullish engulfing pattern appears.
Sell Signal: If price reaches the Fibonacci resistance levels AND (optionally) a bearish engulfing pattern appears.
7. Calculate Stop-Loss (SL) and Take-Profit (TP)
SL (Stop Loss): For buy trades, the SL is set to the previous swing low; for sell trades, it's set to the previous swing high.
TP (Take Profit): Uses a 1:2 risk-reward ratio.
8. Improve Label Visibility
Adds an offset to move labels away from the candlestick, improving visibility.
9. Plot Buy/Sell Labels & Connecting Lines
Labels: Display buy/sell signals, entry price, SL, and TP.
Lines: Draw dotted connectors from the candlestick to the label for better clarity.
What This Indicator Can Do
✅ Identifies Reversal Points using Fibonacci retracements (0.618 & 0.786)
✅ Confirms Reversals with bullish/bearish engulfing candlestick patterns (optional)
✅ Plots Buy/Sell Labels with entry price, SL, and TP values
✅ Draws Lines connecting labels to the candlestick for visibility
✅ Uses a 1:2 Risk-Reward Ratio to determine Take-Profit levels
How to Use This Indicator
Add the Indicator to your TradingView chart.
Look for Buy/Sell Labels:
Buy when price retraces to Fibonacci support and a bullish engulfing pattern appears.
Sell when price retraces to Fibonacci resistance and a bearish engulfing pattern appears.
Use the Stop-Loss (SL) & Take-Profit (TP) from the label to manage your trade.
Combine with Other Indicators (e.g., RSI, MACD) for additional confirmation.
RSI, MACD, Volume, BB Buy Sell Signals (From Deepseek)Mean Reversion strategy combines all the prevelant indicators and just give you a buy and sell signal. The conditions are very tight only to abstain the noise.
Gold & BTC Trading Strategy using VIDYA### Gold & BTC Trading Strategy using VIDYA T5M
#### Strategy Overview:
The **Gold & BTC Trading Strategy using VIDYA** is a dynamic, adaptive trading approach designed to capitalize on trends in both the gold (XAU/USD) and Bitcoin (BTC/USD) markets. The strategy leverages the Variable Index Dynamic Average (VIDYA) indicator, a sophisticated moving average that adjusts its sensitivity based on market volatility. This adaptability makes VIDYA particularly effective in both trending and ranging markets, which are common in gold and Bitcoin trading.
The strategy is suitable for medium to long-term traders and can be applied to various timeframes, though it performs optimally on daily and 4-hour charts. It combines VIDYA with key support/resistance levels, volume analysis, and risk management principles to identify high-probability trade setups.
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#### Key Components:
1. **VIDYA Indicator**:
- VIDYA is a volatility-based moving average that adjusts its smoothing constant based on the Chande Momentum Oscillator (CMO). This allows it to be more responsive during trending markets and less sensitive during sideways markets.
- **Primary Use**: Identify the direction of the trend and potential entry/exit points.
2. **Support and Resistance Levels**:
- Key horizontal levels are used to confirm potential reversal zones or breakout opportunities.
- These levels are derived from historical price action and Fibonacci retracement tools.
3. **Volume Analysis**:
- Volume is used to confirm the strength of a trend or breakout. High volume during a breakout or trend continuation increases the likelihood of a valid signal.
4. **Risk Management**:
- Position sizing is based on a fixed percentage of the trading account (e.g., 1-2% risk per trade).
- Stop-loss orders are placed below/above key support/resistance levels or based on the Average True Range (ATR) indicator.
- Take-profit levels are set using a risk-reward ratio of at least 1:2.
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#### Strategy Rules:
**1. Trend Identification**:
- **Bullish Trend**: Price is above the VIDYA line, and the VIDYA slope is upward.
- **Bearish Trend**: Price is below the VIDYA line, and the VIDYA slope is downward.
**2. Entry Signals**:
- **Long Entry**:
- Price is above the VIDYA line.
- VIDYA slope is upward.
- Price pulls back to the VIDYA line or a key support level.
- Volume increases on the bounce.
- **Short Entry**:
- Price is below the VIDYA line.
- VIDYA slope is downward.
- Price retraces to the VIDYA line or a key resistance level.
- Volume increases on the rejection.
**3. Exit Signals**:
- Take-profit is reached (based on risk-reward ratio).
- Price closes below/above the VIDYA line (for long/short positions).
- A reversal signal is confirmed by a break of key support/resistance levels.
**4. Stop-Loss Placement**:
- For long positions, place the stop-loss below the recent swing low or the VIDYA line.
- For short positions, place the stop-loss above the recent swing high or the VIDYA line.
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#### Example Setup:
**Gold (XAU/USD)**:
- VIDYA slope turns upward, and price is above the VIDYA line.
- Price retraces to the VIDYA line near a key support level.
- Volume spikes on the bounce, confirming buyer interest.
- Enter a long position with a stop-loss below the support level and a take-profit at the next resistance level.
**Bitcoin (BTC/USD)**:
- VIDYA slope turns downward, and price is below the VIDYA line.
- Price retraces to the VIDYA line near a key resistance level.
- Volume spikes on the rejection, confirming seller interest.
- Enter a short position with a stop-loss above the resistance level and a take-profit at the next support level.
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#### Advantages:
- Adapts to changing market conditions due to VIDYA's volatility-based smoothing.
- Works well in both trending and ranging markets.
- Combines multiple confirmation tools (price action, volume, and key levels) to filter out false signals.
#### Limitations:
- VIDYA may produce lagging signals during sudden market reversals.
- Requires careful risk management to handle the inherent volatility of gold and Bitcoin markets.
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#### Conclusion:
The **Gold & BTC Trading Strategy using VIDYA** is a robust, adaptive approach for traders looking to capitalize on trends in two of the most popular and volatile markets. By combining VIDYA with key technical analysis tools and disciplined risk management, this strategy aims to deliver consistent results over time. As with any trading strategy, backtesting and optimization are recommended before applying it to live markets.