Volume Data Customized TimeframeThe "Volume Data Customized Timeframe" (VolData CTF) indicator provides traders with an enhanced volume analysis tool that aggregates buy and sell volume over a user-defined timeframe. It enables a comparative assessment of bullish and bearish volume trends, offering deeper insights into market sentiment. The indicator features a customizable display table with user-selectable themes and positioning, providing essential volume metrics for improved trading decisions.
1. Introduction:
The "Volume Data Customized Timeframe" indicator is designed to help traders analyze volume trends across different timeframes. It allows users to customize the period for volume calculations, view the ratio of selling to buying volume, and present the data in a user-friendly table format.
2. Features:
Selectable timeframe for volume analysis (default: chart timeframe)
Calculation of bullish (buy) and bearish (sell) volume
Customizable table size, theme, and positioning
Displays key volume metrics:
Total Buy Volume
Total Sell Volume
Sell/Buy Volume Ratio
Analysis period in minutes, days, weeks, or months
3. Indicator Inputs:
Average Volume Lookback (n): Number of bars used to calculate volume statistics.
Select Timeframe: Custom timeframe for volume calculations (leave empty to use the chart's timeframe).
Table Size: Choose from Small, Medium, or Big to adjust text size.
Table Theme: Choose between Light and Dark themes.
Table Position: Place the table in any corner of the chart (top-left, top-right, bottom-left, bottom-right).
4. How It Works:
The indicator retrieves volume data for the selected timeframe.
It aggregates bullish and bearish volume based on the lookback period.
The sell-to-buy volume ratio is calculated and color-coded (green for bullish dominance, red for bearish dominance).
The volume statistics are displayed in a customizable table for easy reference.
5. Interpretation:
Δ BUY VOL: Represents the total volume of bullish (up-closing) bars within the lookback period.
Δ SELL VOL: Represents the total volume of bearish (down-closing) bars within the lookback period.
Δ SELL/Δ BUY: The ratio of bearish to bullish volume; values above 1 indicate more selling pressure, while values below 1 indicate buying dominance.
Period (M/D/W/M): Displays the selected timeframe for volume aggregation.
Volatility
Sweep Candle [odnac]
ATR Imbalance Detection
This feature highlights candles that have a significantly larger range compared to the average true range (ATR).
How it works: A candle is considered imbalanced if its range (high - low) exceeds a specified multiple of the ATR (default multiplier is 1.5, with an ATR length of 5).
Visualization: Such candles are highlighted in yellow.
Engulfing Candle Detection
This feature detects bullish and bearish engulfing candles.
Types
Standard: Traditional engulfing pattern where the current candle fully "engulfs" the previous one.
Sweep: A variation where the candle engulfs the previous one and sweeps the previous low (for bullish) or high (for bearish).
Visualization:
Bullish engulfing patterns are marked with a green triangle below the candle.
Bearish engulfing patterns are marked with a red triangle above the candle.
Momentum Candle Detection
This feature identifies candles with strong upward or downward momentum compared to the previous candle.
Types
Standard: A basic momentum pattern where the current candle continues the price direction with strong momentum.
Sweep: A variation where the candle sweeps the previous low (for bullish) or high (for bearish).
Visualization:
Bullish momentum candles are marked with a green circle below the candle.
Bearish momentum candles are marked with a red circle above the candle.
Summary
This indicator helps traders identify significant market conditions such as imbalances, engulfing candles, and momentum patterns, making it a valuable tool for technical analysis and trend-following strategies.
The customizable settings provide flexibility to adapt the tool to different trading styles.
True Strength Index with Zones & AlertsKey Features:
True Strength Index (TSI) Calculation
Uses double-smoothed exponential moving averages (EMA) to calculate TSI.
A signal line (EMA of TSI) helps confirm trends.
Dynamic Color Coding for TSI Line
Green: TSI is above the signal line (Bullish).
Red: TSI is below the signal line (Bearish).
Crossover & Crossunder Signals
Bullish Crossover (TSI crosses above Signal Line) → Green Circle.
Bearish Crossunder (TSI crosses below Signal Line) → Red Circle.
Alerts for Trading Signals
Buy Alert: TSI crosses above the signal line.
Sell Alert: TSI crosses below the signal line.
Overbought & Oversold Zones
Overbought: Between 40 and 50 (Red Zone).
Oversold: Between -40 and -50 (Green Zone).
Highlighted Background when TSI enters these zones.
Neutral Line at 0
Helps determine trend direction and momentum shifts.
How to Use These Values:
• TSI Crosses Above Signal Line → Bullish entry.
• TSI Crosses Below Signal Line → Bearish entry.
• Overbought (+40 to +50) & Oversold (-40 to -50) zones → Watch for trend reversals.
• Divergence Signals → If price makes a new high/low but TSI doesn’t, momentum is weakening.
Waldo Momentum Cloud Bollinger Bands (WMCBB)
Title: Waldo Momentum Cloud Bollinger Bands (WMCBB)
Description:
Introducing the "Waldo Momentum Cloud Bollinger Bands (WMCBB)," an innovative trading tool crafted for those who aim to deepen their market analysis by merging two dynamic technical indicators: Dynamic RSI Bollinger Bands and the Waldo Cloud.
What is this Indicator?
WMCBB integrates the volatility-based traditional Bollinger Bands with a momentum-sensitive approach through the Relative Strength Index (RSI). Here’s how it works:
Dynamic RSI Bollinger Bands: These bands dynamically adjust according to the RSI, which tracks the momentum of price movements. By scaling the RSI to align with price levels, we generate bands that not only reflect market volatility but also the underlying momentum, offering a refined view of overbought and oversold conditions.
Waldo Cloud: This feature adds a layer of traditional Bollinger Bands, visualized as a 'cloud' on your chart. It employs standard Bollinger Band methodology but enhances it with additional moving average layers to better define market trends.
The cloud's color changes dynamically based on various market conditions, providing visual signals for trend direction and potential trend reversals.
Why Combine These Indicators?
Combining Dynamic RSI Bollinger Bands with the Waldo Cloud in WMCBB aims to:
Enhance Trend Identification: The Waldo Cloud's color-coded system aids in recognizing the overarching market trend, while the Dynamic RSI Bands give insights into momentum changes within that trend, offering a comprehensive view.
Improve Volatility and Momentum Analysis: While traditional Bollinger Bands measure market volatility, integrating RSI adds a layer of momentum analysis, potentially leading to more accurate trading signals.
Visual Clarity: The unified color scheme for both sets of bands, which changes according to RSI levels, moving average crossovers, and price positioning, simplifies the process of gauging market sentiment at a glance.
Customization: Users have the option to toggle the visibility of moving averages (MA) through the settings, allowing for tailored analysis based on individual trading strategies.
Usage:
Utilize WMCBB to identify potential trend shifts by observing price interactions with the dynamic bands or changes in the Waldo Cloud's color.
Watch for divergences between price movements and RSI to forecast potential market reversals or continuations.
This combination shines in sideways markets where traditional indicators might fall short, as it provides additional context through RSI momentum analysis.
Settings:
Customize parameters for both the Dynamic RSI and Waldo Cloud Bollinger Bands, including the calculation source, standard deviation factors, and moving average lengths.
WMCBB is perfect for traders seeking to enhance their market analysis through the synergy of momentum and volatility, all while maintaining visual simplicity. Trade with greater insight using the Waldo Momentum Cloud Bollinger Bands!
Sideways Scalper Peak and BottomUnderstanding the Indicator
This indicator is designed to identify potential peaks (tops) and bottoms (bottoms) within a market, which can be particularly useful in a sideways or range-bound market where price oscillates between support and resistance levels without a clear trend. Here's how it works:
RSI (Relative Strength Index): Measures the speed and change of price movements to identify overbought (above 70) and oversold (below 30) conditions. In a sideways market, RSI can help signal when the price might be due for a reversal within its range.
Moving Averages (MAs): The Fast MA and Slow MA provide a sense of the short-term and longer-term average price movements. In a sideways market, these can help confirm if the price is at the upper or lower extremes of its range.
Volume Spike: Looks for significant increases in trading volume, which might indicate a stronger move or a potential reversal point when combined with other conditions.
Divergence: RSI divergence occurs when the price makes a new high or low, but the RSI does not, suggesting momentum is weakening, which can be a precursor to a reversal.
How to Use in a Sideways Market
Identify the Range: First, visually identify the upper resistance and lower support levels of the sideways market on your chart. This indicator can help you spot these levels more precisely by signaling potential peaks and bottoms.
Peak Signal :
When to Look: When the price approaches the upper part of the range.
Conditions: The indicator will give a 'Peak' signal when:
RSI is over 70, indicating overbought conditions.
There's bearish divergence (price makes a higher high, but RSI doesn't).
Volume spikes, suggesting strong selling interest.
Price is above both Fast MA and Slow MA, indicating it's at a potentially high point in the range.
Action: This signal suggests that the price might be at or near the top of its range and could reverse downwards. A trader might consider selling or shorting here, expecting the price to move towards the lower part of the range.
Bottom Signal:
When to Look: When the price approaches the lower part of the range.
Conditions: The indicator will give a 'Bottom' signal when:
RSI is below 30, indicating oversold conditions.
There's bullish divergence (price makes a lower low, but RSI doesn't).
Volume spikes, suggesting strong buying interest.
Price is below both Fast MA and Slow MA, indicating it's at a potentially low point in the range.
Action: This signal suggests that the price might be at or near the bottom of its range and could reverse upwards. A trader might consider buying here, expecting the price to move towards the upper part of the range.
Confirmation: In a sideways market, false signals can occur due to the lack of a strong trend. Always look for confirmation:
Volume Confirmation: A significant volume spike can add confidence to the signal.
Price Action: Look for price action like candlestick patterns (e.g., doji, engulfing patterns) that confirm the reversal.
Time Frame: Consider using this indicator on multiple time frames. A signal on a shorter time frame (like 15m or 1h) might be confirmed by similar conditions on a longer time frame (4h or daily).
Risk Management: Since this is designed for scalping in a sideways market:
Set Tight Stop-Losses: Due to the quick nature of reversals in range-bound markets, place stop-losses close to your entry to minimize loss.
Take Profit Levels: Set profit targets near the opposite end of the range or use a trailing stop to capture as much of the move as possible before it reverses again.
Practice: Before trading with real money, practice with this indicator on historical data or in a paper trading environment to understand how it behaves in different sideways market scenarios.
Key Points for New Traders
Patience: Wait for all conditions to align before taking a trade. Sideways markets require patience as the price might hover around these levels for a while.
Not All Signals Are Equal: Sometimes, even with all conditions met, the market might not reverse immediately. Look for additional context or confirmation.
Continuous Learning: Understand that this indicator, like any tool, isn't foolproof. Learn from each trade, whether it's a win or a loss, and adjust your strategy accordingly.
By following these guidelines
Bollinger Bounce Reversal Strategy – Visual EditionOverview:
The Bollinger Bounce Reversal Strategy – Visual Edition is designed to capture potential reversal moves at price extremes—often termed “bounce points”—by using a combination of technical indicators. The strategy integrates Bollinger Bands, MACD, and volume analysis, and it provides rich on‑chart visual cues to help traders understand its signals and conditions. Additionally, the strategy enforces a maximum of 5 trades per day and uses fixed risk management parameters. This publication is intended for educational purposes and offers a systematic, transparent approach that you can further adjust to fit your market or risk profile.
How It Works:
Bollinger Bands:
A 20‑period simple moving average (SMA) and a user‑defined standard deviation multiplier (default 2.0) are used to calculate the Bollinger Bands.
When the price reaches or crosses these bands (i.e. falls below the lower band or rises above the upper band), it suggests that the price is in an extreme, potentially oversold or overbought, state.
MACD Filter:
The MACD (calculated with standard lengths, e.g. 12, 26, 9) provides momentum information.
For a bullish (long) signal, the MACD line should be above its signal line; for a bearish (short) signal, the MACD line should be below.
Volume Confirmation:
The strategy uses a 20‑period volume moving average to determine if current volume is strong enough to validate a signal.
A signal is confirmed only if the current volume is at or above a specified multiple (by default, 1.0×) of this moving average, ensuring that the move is supported by increased market participation.
Visual Cues:
Bollinger Bands and Fill: The basis (SMA), upper, and lower Bollinger Bands are plotted, and the area between the upper and lower bands is filled with a semi‑transparent color.
Signal Markers: When a long or short signal is generated, corresponding markers (labels) appear on the chart.
Background Coloring: The chart’s background changes color (green for long signals and red for short signals) on the bars where signals occur.
Information Table: An on‑chart table displays key indicator values (MACD, signal line, volume, average volume) and the number of trades executed that day.
Entry Conditions:
Long Entry:
A long trade is triggered when the previous bar’s close is below the lower Bollinger Band and the current bar’s close crosses above it, combined with a bullish MACD condition and strong volume.
Short Entry:
A short trade is triggered when the previous bar’s close is above the upper Bollinger Band and the current bar’s close crosses below it, with a bearish MACD condition and high volume.
Risk Management:
Daily Trade Limit: The strategy restricts trading to no more than 5 trades per day.
Stop-Loss and Take-Profit:
For each position, a stop loss is set at a fixed percentage away from the entry price (typically 2%), and a take profit is set to target a 1:2 risk-reward ratio (typically 4% from the entry price).
Backtesting Setup:
Initial Capital: $10,000
Commission: 0.1% per trade
Slippage: 1 tick per bar
These realistic parameters help ensure that backtesting results reflect the conditions of an average trader.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential to backtest extensively and paper trade before any live deployment. All risk management practices are advisory, and you should adjust parameters to suit your own trading style and risk tolerance.
Conclusion:
By combining Bollinger Bands, MACD, and volume analysis, the Bollinger Bounce Reversal Strategy – Visual Edition provides a clear, systematic method to identify potential reversal opportunities at price extremes. The added visual cues help traders quickly interpret signals and assess market conditions, while strict risk management and a daily trade cap help keep trading disciplined. Adjust and refine the settings as needed to better suit your specific market and risk profile.
Global Inflation Indicator🔹 Overview:
The Global Inflation Indicator is a macro-analysis tool designed to track and compare inflation trends across major economies. It pulls Consumer Price Index (CPI) data from multiple regions, helping traders and investors analyze how inflation impacts global markets, particularly gold, forex, and commodities.
📊 Key Features:
✅ Tracks inflation in six major economies:
🇺🇸 USA (CPIAUCSL) – Key driver for USD and gold prices
🇪🇺 Eurozone (CPHPTT01EZM659N) – Euro inflation impact
🇬🇧 United Kingdom (GBRCPIALLMINMEI) – GBP & economic trends
🇨🇳 China (CHNCPIALLMINMEI) – Emerging market impact
🇯🇵 Japan (JPNCPIALLMINMEI) – Yen & inflation control policies
🇮🇳 India (INDCPIALLMINMEI) – Key gold-consuming economy
✅ Real-time Inflation Trends:
Provides a visual comparison of inflation levels in different regions.
Helps traders identify inflationary cycles & their effect on global assets.
✅ Macro-Driven Trading Decisions:
Gold & Forex Correlation: High inflation may increase demand for gold.
Interest Rate Expectations: Central banks respond to inflation shifts.
Currency Strength: Inflation impacts USD, EUR, GBP, JPY, CNY, INR.
📉 How to Use It:
Gold traders can assess inflation trends to predict potential price movements.
Forex traders can compare inflation effects on major currency pairs (EUR/USD, USD/JPY, GBP/USD, etc.).
Stock investors can evaluate how inflation affects central bank policies and interest rates.
📌 Conclusion:
The Global Inflation Indicator is a powerful tool for macroeconomic analysis, providing real-time insights into global inflation trends. By integrating this indicator into your gold, forex, and commodity trading strategies, you can make more informed investment decisions in response to economic changes.
ROC with closed based coloring & info table [DB]Rate of Change (ROC) Basics
The Rate of Change (ROC) is a momentum oscillator measuring the percentage price change between the current close and the close from N periods ago.
Calculated as: ROC = * 100
Traders use ROC to:
Identify overbought/oversold conditions
Spot momentum shifts
Confirm trend strength
My improvements:
Visual Clarity
Color-Coded Direction: ROC line changes color (green/red/yellow) based on intra-candle momentum shifts.
Direction Table: Instant view of the last change in ROC with the candle close (▲ UP / ▼ DOWN / ▶ FLAT).
Cells for current value and previous change between timeframe bar period.
What you can benefit with this over the regular ROC:
Faster Analysis: The visual cues make direction and strength instantly obvious and it allows for faster decision making while preserving more mental capital.
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.
AI Volume Breakout for scalpingPurpose of the Indicator
This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement.
Key Components:
Parameters:
Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal.
Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price.
SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20.
Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars.
ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility.
Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy.
Calculations:
SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average.
ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy.
Signal Generation:
The indicator checks if:
Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold).
There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold).
The market isn't too volatile (lowVolatility).
The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish).
If all these conditions are met, it predicts:
1 (Bullish) if conditions suggest buying.
0 (Bearish) if conditions suggest selling.
Cooldown Mechanism:
After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading.
Visual Feedback:
Labels are placed on the chart:
Green label for bullish breakouts below the low price.
Red label for bearish breakouts above the high price.
How to Use:
Entry Points: Look for the labels on your chart to decide when to enter trades.
Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements.
Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility.
Caveats:
This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data.
Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
Bollinger Bands Long Strategy
This strategy is designed for identifying and executing long trades based on Bollinger Bands and RSI. It aims to capitalize on potential oversold conditions and subsequent price recovery.
Key Features:
- Bollinger Bands (10,2): The strategy uses Bollinger Bands with a 10-period moving average and a multiplier of 2 to define price volatility.
- RSI Filter: A trade is only triggered when the RSI (14-period) is below 30, ensuring entry during oversold conditions.
- Entry Condition: A long trade is entered immediately when the price crosses below the lower Bollinger Band and the RSI is under 30.
- Exit Condition: The position is exited when the price reaches or crosses above the Bollinger Band basis (20-period moving average).
Best Used For:
- Identifying oversold conditions with a strong potential for a rebound.
- Markets or assets with clear oscillations and volatility e.g., BTC.
**Disclaimer:** This strategy is for educational purposes and should be used with caution. Backtesting and risk management are essential before live trading.
GOLD Volume-Based Entry StrategyShort Description:
This script identifies potential long entries by detecting two consecutive bars with above-average volume and bullish price action. When these conditions are met, a trade is entered, and an optional profit target is set based on user input. This strategy can help highlight momentum-driven breakouts or trend continuations triggered by a surge in buying volume.
How It Works
Volume Moving Average
A simple moving average of volume (vol_ma) is calculated over a user-defined period (default: 20 bars). This helps us distinguish when volume is above or below recent averages.
Consecutive Green Volume Bars
First bar: Must be bullish (close > open) and have volume above the volume MA.
Second bar: Must also be bullish, with volume above the volume MA and higher than the first bar’s volume.
When these two bars appear in sequence, we interpret it as strong buying pressure that could drive price higher.
Entry & Profit Target
Upon detecting these two consecutive bullish bars, the script places a long entry.
A profit target is set at current price plus a user-defined fixed amount (default: 5 USD).
You can adjust this target, or you can add a stop-loss in the script to manage risk further.
Visual Cues
Buy Signal Marker appears on the chart when the second bar confirms the signal.
Green Volume Columns highlight the bars that fulfill the criteria, providing a quick visual confirmation of high-volume bullish bars.
Works fine on 1M-2M-5M-15M-30M. Do not use it on higher TF. Due the lack of historical data on lower TF, the backtest result is limited.
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
________
How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
________
Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
________
Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
STRAW Volume Spike IndicatorThis is basically a:
High-Volume Impulse Detector
The High-Volume Impulse Detector is a refined tool designed to highlight key moments of explosive volume surges in the market, specifically calibrated for assets like Bitcoin on the 15-minute timeframe. Unlike generic volume-based indicators, this script doesn’t just flag high volume—it intelligently adapts to market dynamics by incorporating a custom-moving average baseline and highlighting instances where volume exceeds a significant threshold relative to the average.
Key Features
✅ Adaptive Volume Benchmark – Uses a dynamic moving average to filter out noise and pinpoint meaningful volume spikes.
✅ Impulse Confirmation – Only highlights volume bars that exceed the 50% threshold above the baseline, ensuring signals capture real liquidity shifts.
✅ Smart Color Coding – Differentiates high-impact bullish and bearish volume with distinct visual cues for easy market structure identification.
✅ Designed for Order Block Traders – Helps validate liquidity-driven price movements essential for refining order block and break-of-structure strategies.
Unlike conventional volume overlays, this tool helps traders connect volume surges to key structural shifts, making it an ideal companion for those navigating momentum shifts, market inefficiencies, and institutional footprints.
⚡ Best used on BTC 15m for tracking aggressive volume-driven moves in real-time.
Cypto Oscillator with Sortino-like VolatilityEnhanced Inverted Ultimate Oscillator with Sortino-like Volatility
This indicator combines the power of the Ultimate Oscillator with a unique Sortino-like volatility calculation to provide a comprehensive view of market dynamics. It's designed to help traders identify potential turning points and assess the risk associated with price movements.
**Core Components:**
* **Ultimate Oscillator (UO):** The UO is a momentum indicator that incorporates short, medium, and long-term price action to identify overbought and oversold conditions. This indicator inverts and normalizes the UO to a 0-10 scale, providing a clear view of momentum shifts.
* **Sortino-like Volatility:** Instead of a standard deviation, this indicator uses a downside deviation calculation. This focuses specifically on *negative* price movements, offering a more relevant measure of risk for most traders. By not penalizing upside volatility, it avoids giving false signals during strong bull runs. The downside deviation is scaled as a percentage of the closing price for cross-asset comparability.
* **Volatility Signal:** The inverted UO is multiplied by the downside deviation to create a combined volatility signal. This signal reflects both momentum and downside risk, providing a more nuanced market perspective.
**Key Features and Uses:**
* **Identifying Potential Turning Points:** Divergences between the UO and price action can signal potential trend reversals. Look for the UO to make higher lows while price makes lower lows (bullish divergence) or the UO to make lower highs while price makes higher highs (bearish divergence).
* **Assessing Downside Risk:** The Sortino-like volatility component helps traders gauge the potential for downside price swings. Higher volatility suggests greater risk.
* **Dynamic Volatility Thresholds:** The indicator includes adjustable upper and lower volatility thresholds, based on a moving average of the volatility signal. These thresholds can be used to identify periods of unusually high or low volatility.
* **Customizable Lookback Periods:** Traders can adjust the lookback periods for the UO and the standard deviation calculation to fine-tune the indicator to their specific trading style and market conditions.
* **Visualizations:** The indicator provides several visual aids, including:
* A histogram of the volatility signal, colored dynamically based on its relationship to the moving average of volatility. Red indicates volatility above the upper bound, orange between the bounds and green below the lower bound.
* A line plot of the volatility signal.
* An optional moving average of the volatility signal.
* Optional upper and lower volatility threshold lines with a filled range for visual clarity.
* **Alerts:** The indicator includes alert conditions for when the volatility signal crosses above the upper threshold (high volatility) or below the lower threshold (low volatility).
**How to Use:**
1. **Inputs:** Adjust the input parameters to optimize the indicator for your chosen asset and timeframe.
2. **Divergences:** Look for divergences between the UO and price to identify potential trend reversals.
3. **Volatility:** Use the volatility signal and thresholds to assess downside risk.
4. **Alerts:** Enable alerts to be notified of high or low volatility events.
**Disclaimer:** This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own thorough analysis before making any trading decisions.
Key improvements in this description:
Clear and concise language: Easy for traders to understand.
Focus on benefits: Highlights how the indicator can help traders.
Detailed explanation of features: Covers all the important aspects.
How-to-use section: Provides practical guidance.
Disclaimer: Includes a necessary disclaimer.
Emphasis on the Sortino-like approach: This is a unique selling point of your indicator.
Well-structured and formatted: Easy to read and digest.
This description should be a great starting point for sharing your indicator with the TradingView community. You can further customize it by adding screenshots of the indicator in action or linking to a chart where it's being used. Remember to respond to comments and questions from other users to build engagement and improve your indicator over time.
Session Opening Ranges [DB](Reuploaded with open source script)
A simple indicator that displays the 15 minute opening ranges of the Asia, London and New York trading sessions.
You can select how many days you want to display in total and also customise the colors of each session. The indicator is coded to NY time and should always display at the correct times, which are:
- 18:00 - 18:15 for Asia
- 03:00 - 03:15 for London
- 09:30 - 09:45 for New York
You can also choose to display the sessions name and/or range in points.
If you find any bugs let me know in the comments.
Enjoy!
Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
ATR stop lossPlots the stop loss level based on average true range (ATR) and a multiplier of choice (1 to 2.5, default is 1.5), subtracted from closing price.
Additions in this version:
You can now show percentage labels to help evaluate the level of risk.
The color of the plotted line and the text labels can be picked by the user.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
Finite Difference - Backward (mcbw_)In calculus there exists a 'derivative', which simply just measures the difference between two points on a curve. For well behaved mathematical functions there are infinitely many points and so there exists a derivative at every point. Where there are infinitely many points in a curve that curve is called 'continuous'. Continuous curves are very nice to deal with since each point on it exists almost exactly where its neighbors are. However, if the curve does not have infinitely many points on it, but instead has a finite number of points on it, that curve is called 'discrete' instead of continuous. Taking the derivative of discrete curves is much trickier business since there are none of the mathematical conveniences that a continuous offers. In the real world everything we measure is a discrete curve, including Price (since we measure it a finite number of times, aka each candlestick)!
The branch of Discrete Mathematics has found an approach to measure the derivative along a discrete curve, that approach is aptly called " Finite Difference ". To get a more accurate approximation of a discrete derivative, the finite difference approach uses weighted combinations of neighboring points. The most common type of finite difference is a 'central' difference, this uses a combination of points before and after the point of interest to approximate the discrete derivative. This is great for historical analysis but is not of much use for trading algorithms since it technically means using future prices to calculate the derivative of the current point. Instead we can use a less common variant called a ' Backwards Difference ' that only uses a combination of points before the current one to help approximate the current derivative.
In this script you can choose the " Order " of your derivative and the " Accuracy " of its approximation. This script is for educational purposes for folks building trading algorithms. Many trading algorithms often have an element of seeing how much Price has changed from the previous candle to the current candle. This approach is the lowest accuracy derivative possible, and using the backwards finite differences, made available for the first time on TradingView (!!), algorithms that use derivatives can now have higher orders of accuracy!
Happy Trading/Developing!
Anchored VWAPAnchored VWAP with 3 Standard Deviation Bands
📈 Version: Pine Script v5
📌 Author: Aymen Haddaji
🔍 Overview
This indicator calculates an Anchored Volume-Weighted Average Price (AVWAP), allowing traders to anchor the VWAP calculation from a user-defined date and time. It also plots three standard deviation bands above and below the AVWAP to help identify potential areas of overbought and oversold conditions.
📊 Features & Functionality
✔ Custom Anchor Point: Select a specific date and time to start the AVWAP calculation.
✔ OHLC/4 Calculation: Uses the average of Open, High, Low, and Close to smooth the price input.
✔ Three Standard Deviation Bands:
1st Deviation (Green): Moderate volatility zone.
2nd Deviation (Orange): High volatility zone.
3rd Deviation (Red): Extreme overbought/oversold areas.
✔ Real-Time Calculation: Updates dynamically with each price movement.
✔ Clear Visuals:
AVWAP (Blue Line) represents the fair market price from the anchor.
Deviation Bands (Dashed Lines) show potential support and resistance levels.
🛠 How It Works
VWAP Calculation
Uses a cumulative sum of price × volume divided by cumulative volume.
Calculation starts from the user-defined anchor time.
Standard Deviation Bands
Measures the price dispersion around the AVWAP.
The wider the bands, the higher the volatility.
When price touches or exceeds the 3rd deviation, a potential reversal zone is indicated.
Trading Strategies with AVWAP & Deviation Bands
Trend Confirmation:
Price above AVWAP = Uptrend (bullish).
Price below AVWAP = Downtrend (bearish).
Support & Resistance:
AVWAP acts as dynamic support or resistance.
1st & 2nd deviations often act as secondary levels.
Mean Reversion Trading:
When price reaches the 3rd standard deviation, a pullback is likely.
Breakout Confirmation:
A strong close above/below the 3rd deviation may indicate trend continuation.
⚙️ Input Settings
📍 Anchor Time: Allows you to set the exact date and time to start the AVWAP calculation.
🎯 Ideal For
✅ Intraday traders looking for short-term mean reversion plays.
✅ Swing traders identifying key support/resistance zones.
✅ Trend traders confirming long-term market direction.
✅ Volatility traders using standard deviation for trade entries.
Hyper MA Loop | QuantEdgeBIntroducing Hyper MA Loop by QuantEdgeB
Hyper MA Loop | QuantEdgeB is an advanced trend-following indicator that leverages a custom Hyper Moving Average (HyMA) and an innovative loop-based scoring system to assess trend strength and direction. This tool is designed to provide a dynamic perspective on market momentum, allowing traders to capture trends effectively while filtering out market noise.
Key Features:
1. Hyper Moving Average (HyMA) 🟣
- A weighted moving average that enhances trend responsiveness by applying a custom
weight function.
- Ensures smoother trend detection while maintaining reactivity to price changes.
2. Loop-Based Trend Scoring 🔄
- Utilizes a for-loop function to analyze the movement of HyMA over a specified period.
- Compares current values to past values, generating a cumulative score indicating bullish or
bearish momentum.
- Dynamic thresholds adjust to market conditions for better trend filtering.
3. Threshold-Based Signal System ✅❌
- Long Signals: Triggered when the loop score exceeds the long threshold.
- Short Signals: Activated when the score falls below the short threshold.
- Avoids false signals by requiring sustained strength before confirming a trend.
4. Customizable Visualization & Colors 🎨
- Multiple color modes (Default, Solar, Warm, Cool, Classic) for tailored aesthetics.
- Extra plot options enhance visualization of market structure and volatility.
________
How It Works:
- HyMA Calculation : A unique moving average with a specialized weighting function to
smooth out price action.
- Loop Function : Iterates over past HyMA values, assessing whether price is consistently
higher or lower.
- Threshold Comparison : The loop score is compared against pre-set thresholds to
determine bullish or bearish conditions.
- Signal Generation :
1. Bullish (🔵): If the score crosses the long threshold
2. Bearish (🔴): If the score drops below the short threshold.
- Plotting & Styling : Dynamic candles and gradient overlays provide an intuitive
visualization of rend shifts.
________
Use Cases:
✅ Ideal for trend-following traders looking for solid trends confirmation.
✅ Helps filter out choppy market conditions by adjusting sensitivity dynamically.
✅ Works well with other indicators (e.g., ADX, volume-based filters) for added confirmation.
✅ Suitable for both short-term and long-term trend analysis.
________
Customization Options:
- Adjustable HyMA Length: Modify the responsiveness of the moving average. Default se to 2.
- For-Loop Parameters: Fine-tune how far back the trend analysis should consider. Default se to Start = 1 , End = -1.
- Thresholds for Long & Short: Control signal sensitivity to market fluctuations. Default set to Long = 40, Short = 8.
- Color Modes & Extra Plots: Personalize visualization for better clarity.
________
Conclusion:
The Hyper MA Loop | QuantEdgeB is a powerful, adaptive indicator that combines custom moving averages with loop-based trend analysis to deliver accurate, visually intuitive market signals. Whether you're looking to ride strong trends or filter out weak setups, this tool provides the precision and flexibility needed for effective decision-making. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
High-Low Breakout Strategy with ATR traling Stop LossThis script is a TradingView Pine Script strategy that implements a High-Low Breakout Strategy with ATR Trailing Stop.created by SK WEALTH GURU, Here’s a breakdown of its key components:
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.
Trade Entry Conditions
Long Entry: If the closing price crosses above the recorded high.
Short Entry: If the closing price crosses below the recorded low.
The user can choose to trade Long, Short, or Both.
ATR-Based Trailing Stop & Risk Management
Uses Average True Range (ATR) with a multiplier (default: 3.5) to determine a dynamic trailing stop-loss.
Trades reset daily, ensuring a fresh start each day.
Trade Execution and Partial Profit Taking
Stop-loss: Default at 1% of entry price.
Partial profit: Books 50% of the position at 3% profit.
Max 2 trades per day: If the first trade hits stop-loss, the strategy allows one re-entry.
Intraday Exit Condition
All positions close at 3:15 PM to ensure no overnight risk.
