20/50 EMA Crossover by Shravanits a simple 20/50 ema crossover
it provide signal when a crossover is happend
Médias Móveis
EMA lines with confluence gridThis indicator uses 2 EMA's (8 and 14 default) and uses a grid to tell you when they cross over!
Bobs Fibonacci Moving Averages 2.0Bob's Fibonacci Moving Averages plots ten moving averages based on Fibonacci sequence lengths, helping traders identify trends and price movements. It includes customizable smoothing options like SMA, EMA, and WMA for enhanced flexibility. Ideal for multi-timeframe analysis and trend confirmation.
Bobs Fibonacci Moving AveragesBob's Fibonacci Moving Averages plots ten moving averages based on Fibonacci sequence lengths, helping traders identify trends and price movements. It includes customizable smoothing options like SMA, EMA, and WMA for enhanced flexibility. Ideal for multi-timeframe analysis and trend confirmation.
Ansh Intraday Crypto Strategy v6This strategy is designed to take advantage of intraday market movements in the cryptocurrency space by combining multiple powerful technical indicators to generate high-probability trade signals. It incorporates:
Exponential Moving Average (EMA): The 55-period EMA is used as the backbone of the strategy, helping to identify the prevailing market trend. If the price is above the EMA, it's considered a bullish trend, and if the price is below, it's considered a bearish trend.
Relative Strength Index (RSI): The strategy employs the RSI to gauge market conditions and detect overbought or oversold conditions. A low RSI (below 30) indicates oversold conditions, which can signal potential buying opportunities, while a high RSI (above 70) suggests overbought conditions, which can signal potential selling opportunities.
Volume Spike: By incorporating volume analysis, the strategy ensures that trades are made when there is significant market interest. A volume spike, defined as volume higher than the average over a specific period, helps to confirm the strength of a price move, adding reliability to the signals.
Support and Resistance Levels: The strategy identifies key support and resistance levels based on recent price action. This enables the strategy to position trades near these critical zones, increasing the chances of successful entries and exits.
Candlestick Confirmation: The strategy incorporates candlestick patterns to confirm trade signals. Bullish signals are confirmed with a close above the open (indicating buying pressure), while bearish signals are confirmed with a close below the open (indicating selling pressure).
By combining these indicators, the Refined Intraday Crypto Strategy v5 aims to catch high-quality trade setups with strong risk-reward potential. It is an ideal strategy for active traders looking to capitalize on short-term price movements in volatile crypto markets.
With precise entry and exit points based on robust technical analysis, this strategy seeks to reduce risk and improve the consistency of profitable trades. It’s an excellent tool for both new and experienced traders in the fast-paced world of cryptocurrency.
SMC Trading Checklist with Price Action and Buy/Sell AlertsBUY and SELL Text in Bold:
The plotshape function is used to display the text "BUY" in bold when the conditions for a bullish entry are met, and "SELL" in bold when the conditions for a bearish entry are met.
The textcolor=color.white ensures the text is visible, and size=size.normal adjusts the size for clarity.
Visual Indicators:
The buy and sell signals are visually clear with green for buy and red for sell, along with bold text labels appearing above or below the candles as appropriate.
Alerts with Text:
The alerts now contain messages like "BUY!" or "SELL!" to provide explicit notifications when the signals are triggered.
Outputs:
BUY in bold text will appear when a bullish entry signal occurs.
SELL in bold text will appear when a bearish entry signal occurs.
The background will change to green for bullish and red for bearish entries, adding an extra layer of clarity.
Daily MACD Crossover Buy Sell IndicatorGives Buy/Sell indicator looking at MACD crossover on the 1D chart only. Good for swing trading.
Crypto MA + ATR Super AdaptativeThe Crypto MA + ATR Super Adaptative Indicator is designed to help traders identify trend levels and potential support/resistance zones using a dynamic measure of volatility. It calculates a central "Mid Line" (a moving average of the closing prices) and then plots multiple bands (or levels) above and below this line. These bands are spaced using a dynamic Average True Range (ATR) that is adjusted based on recent volatility via a Relative Volatility Factor (RVF).
Key Features
Dynamic ATR Calculation:
Uses a Relative Volatility Factor (RVF) to adjust the short-term ATR based on the dispersion of recent ATR values relative to a longer-term ATR reference. This ensures that the bands widen during periods of high volatility and narrow during periods of low volatility.
Mid Line (Central Moving Average):
A customizable moving average (with options such as SMA, EMA, WMA, RMA, HMA, ALMA) calculated from closing prices, which serves as the central reference for the bands.
Multiple Trend Levels:
Seven levels (both above and below the Mid Line) are plotted. Each level is computed as a multiple (1x through 7x) of the dynamic ATR added to or subtracted from the Mid Line.
Customizable Inputs:
Users can easily adjust the lookback periods for both the Mid Line and ATR calculations, choose the type of moving average, set the base multiplier for the bands, and toggle the display of each individual level.
Time Offset Option:
An offset parameter allows shifting the plotted lines forward or backward in time to better align with the user's charting preferences.
How It Works
Mid Line Calculation:
The indicator computes a moving average (the Mid Line) based on the closing prices using a user-selected method (e.g., EMA).
ATR Calculations:
Short-Term ATR (atrShort): Reflects current volatility over a short period (default is 14 bars).
Long-Term ATR (atrLong): Acts as a volatility reference calculated over a longer period (default is 100 bars).
Relative Volatility Factor (RVF):
First, the standard deviation of the short-term ATR over a specified lookback period (default is 14 bars) is calculated.
The RVF is then computed using the formula:
RVF
=
1
+
(
stdev(atrShort, rvfLength)
atrLong
)
RVF=1+(
atrLong
stdev(atrShort, rvfLength)
)
The Dynamic ATR is derived by multiplying the short-term ATR by the RVF:
Dynamic ATR
=
atrShort
×
RVF
Dynamic ATR=atrShort×RVF
Plotting the Trend Levels:
Each level is determined by adding (for upper levels) or subtracting (for lower levels) a multiple of the Dynamic ATR from the Mid Line. For example, Level 1 is:
Level 1
=
Mid Line
±
(
1.0
×
Dynamic ATR
)
Level 1=Mid Line±(1.0×Dynamic ATR)
This calculation is repeated for up to 7 levels.
User Inputs
Mid Line Settings:
Period: Number of bars for the moving average (e.g., 100).
Type: Moving average type (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
ATR Settings:
ATR Short Period (atrShortLength): Default is 14.
(Reflects current market volatility.)
ATR Long Period (atrLongLength): Default is 100.
(Serves as the volatility reference.)
RVF Lookback Period (rvfLength): Default is 14.
(Used to compute the standard deviation of the short-term ATR.)
ATR Method: Moving average type for ATR calculation (Options: SMA, EMA, WMA, RMA, HMA, ALMA).
Band Multiplier:
Base Multiplier (multBase): Sets the scaling factor for the trend levels (default is 1.0).
Display Options:
Toggle Levels 1 to 7: Option to show or hide each trend level.
Bar Offset: Shifts the plotted lines forward or backward by a specified number of bars.
How to Use
Add to Chart:
Copy and paste the Pine Script code into TradingView’s Pine Editor and add the script to your chart.
Configure Settings:
Adjust the input parameters (such as moving average periods, ATR settings, and band multiplier) to suit your trading style and the instrument being analyzed.
Interpret the Levels:
The Mid Line acts as the central trend indicator.
The plotted bands represent dynamic support and resistance levels that adjust based on recent volatility.
Wider bands indicate higher volatility; narrower bands suggest lower volatility.
Apply in Trading:
Use these dynamic trend levels to help identify potential entry and exit points, confirm trends, or set stop-loss levels. Always combine the indicator with other technical analysis tools and sound risk management practices.
Disclaimer
This indicator is provided for educational purposes only. It is not financial advice, and its performance is not guaranteed. Trading involves substantial risk, and you should use this indicator in conjunction with other forms of analysis and risk management techniques.
Dynamic Trendline (NEW)This indicator marks the last high and lows, easier for verification of trend.
btc daily major lows test- rsi crossover 27
- ema 100 > ema 377
- btc daily timeframe
every yellow bar are representing major btc lows in an uptrend or ranging market, leading to big opportunities (longs)
the low of the candle under the yellow vertical line is also representing the support level of the range.
if that support breaks, new bear market may begin or actual bear market may continue.
made by phil
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Moving Average Hamming-RKMoving Average Hamming
Description:
A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise.
It can be used in combination with other technical indicators for better market analysis.
Technical Use:
The Hamming Moving Average reduces high-frequency noise, making trends clearer.
It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes.
This method is particularly useful in trend-following strategies as it minimizes false breakouts.
It can also be integrated into algorithmic trading systems for improved price fluctuation filtering.
When to Take a Position:
Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend.
Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend.
Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade.
Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions.
This approach helps traders refine their analysis, making informed decisions while reducing market noise.
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Wagmi Lab- Bitcoin H4 Buy Sell Signals This indicator, designed primarily for Bitcoin on the H4 timeframe, is a versatile tool that can also be applied to other assets and timeframes by adjusting its parameters. It combines Exponential Moving Averages (EMAs), MACD (Moving Average Convergence Divergence), and a crossover filtering mechanism to generate reliable buy and sell signals. The indicator is ideal for traders looking to identify trend direction and potential entry/exit points with added precision.
Key Features:
Customizable EMAs and MACD:
Fast EMA (default: 12): Tracks short-term price momentum.
Slow EMA (default: 26): Tracks long-term price momentum.
Signal SMA (default: 9): Smooths the MACD line to generate the signal line.
MACD Crossover Signals:
The indicator calculates the MACD line and signal line to identify potential buy and sell opportunities.
Buy signals are generated when the MACD line crosses above the signal line, indicating bullish momentum.
Sell signals are generated when the MACD line crosses below the signal line, indicating bearish momentum.
Crossover Strength Filter:
A minimum crossover distance percentage (default: 0.1%) ensures that only significant crossovers are considered, reducing false signals.
This filter helps traders avoid weak or insignificant crossovers that may not lead to strong price movements.
Trend Visualization:
The indicator highlights the trend direction by filling the area between the fast and slow EMAs with colors:
Green: Uptrend (MACD > Signal Line).
Red: Downtrend (MACD < Signal Line).
Buy/Sell Signal Markers:
Buy signals are marked with green circles below the price bars.
Sell signals are marked with red circles above the price bars.
These markers provide clear visual cues for potential entry and exit points.
Adaptable to Other Timeframes and Assets:
While optimized for the H4 timeframe, the indicator can be adjusted for other timeframes (e.g., M15, H1, D1) by modifying the EMA and SMA settings.
It can also be applied to other assets, such as stocks, forex, or commodities, by tweaking the parameters to suit the asset's volatility and characteristics.
How to Use:
Identify Trends:
Use the colored areas (green for uptrend, red for downtrend) to determine the overall market direction.
Wait for Confirmation:
Look for buy or sell signals (green or red circles) that align with the trend direction.
Ensure the crossover meets the minimum distance requirement to filter out weak signals.
Enter and Exit Trades:
Enter a long position when a buy signal appears during an uptrend.
Enter a short position or exit a long position when a sell signal appears during a downtrend.
Adjust Settings for Other Timeframes/Assets:
Experiment with the EMA and SMA periods to optimize the indicator for different timeframes or assets.
Why Use This Indicator?
Precision: The crossover strength filter reduces noise and false signals.
Versatility: Works across multiple timeframes and assets with customizable settings.
Visual Clarity: Clear trend visualization and signal markers make it easy to interpret.
This indicator is a powerful tool for traders seeking to capitalize on Bitcoin's volatility or other assets' price movements, providing a structured approach to identifying trends and potential trading opportunities.
High-Probability IndicatorExplanation of the Code
Trend Filter (EMA):
A 50-period Exponential Moving Average (EMA) is used to determine the overall trend.
trendUp is true when the price is above the EMA.
trendDown is true when the price is below the EMA.
Momentum Filter (RSI):
A 14-period RSI is used to identify overbought and oversold conditions.
oversold is true when RSI ≤ 30.
overbought is true when RSI ≥ 70.
Volatility Filter (ATR):
A 14-period Average True Range (ATR) is used to measure volatility.
ATR is multiplied by a user-defined multiplier (default: 2.0) to set a volatility threshold.
Ensures trades are only taken during periods of sufficient volatility.
Entry Conditions:
Long Entry: Price is above the EMA (uptrend), RSI is oversold, and the candle range exceeds the ATR threshold.
Short Entry: Price is below the EMA (downtrend), RSI is overbought, and the candle range exceeds the ATR threshold.
Exit Conditions:
Take Profit: A fixed percentage above/below the entry price.
Stop Loss: A fixed percentage below/above the entry price.
Visualization:
The EMA is plotted on the chart.
Background colors highlight uptrends and downtrends.
Buy and sell signals are displayed as labels on the chart.
Alerts:
Alerts are triggered for buy and sell signals.
How to Use the Indicator
Trend Filter:
Only take trades in the direction of the trend (e.g., long in an uptrend, short in a downtrend).
Momentum Filter:
Look for oversold conditions in an uptrend for long entries.
Look for overbought conditions in a downtrend for short entries.
Volatility Filter:
Ensure the candle range exceeds the ATR threshold to avoid low-volatility trades.
Risk Management:
Use the built-in take profit and stop loss levels to manage risk.
Optimization Tips
Backtesting:
Test the indicator on multiple timeframes and assets to evaluate its performance.
Adjust the input parameters (e.g., EMA length, RSI length, ATR multiplier) to optimize for specific markets.
Combination with Other Strategies:
Add additional filters, such as volume analysis or support/resistance levels, to improve accuracy.
Risk Management:
Use proper position sizing and risk-reward ratios to maximize profitability.
Disclaimer
No indicator can guarantee an 85% win ratio due to the inherent unpredictability of financial markets. This script is provided for educational purposes only. Always conduct thorough backtesting and paper trading before using any strategy in live trading.
Let me know if you need further assistance or enhancements!
Smoothed Candle Averages- NovaTheMachineThis script utilizes a series of moving averages that the user is able to change as they see fit for their own use.
The averages plotted for the first 2 waves are the High-Low rays of the selected period of time with the chosen moving average style.
The Bias is the Heikin Ashi High-Low ray plotted over the chosen time period, while the Secondary Bias is a higher Timeframe Bias for the same period of time on a selected higher timeframe.
The visuals for each ray are able to be changed to either; lines, solid wave, or dynamic wave.
The Dynamic waves will change color according to the total dissection and utilize the Min-Max range selected as a weight for the strength of the trend. Thus providing an at-a-glance overview of the price relative to trend.
The key objective with this script is to gauge the longer term trend with the current price action, to establish patterns and determine strength of moves both away from and towards the moving average/bias.
When both waves are trending with the Bias, it can be reasoned that there is a strong trend established, when waves and Bias are mixed or trending sideways it can be reasoned there is a range forming or potential for a direction change. When price has broken the waves and biases we can reasonably assume that a new trend has been formed, using the waves and biases again to determine the strength and length of the trend.
The Table will display whether the current price is above or below each wave, and whether the price is continuing or retracing. The Signals plotted are used to help identify when price has broken a wave more swiftly.
John Bob-Trading-BotDeveloped by Ayebale John Bob with the help of his bestie, this innovative strategy combines advanced Smart Money Concepts with practical risk management tools to help traders identify and capitalize on key market moves.
Key Features:
Smart Money Concepts & Fair Value Gaps (FVG):
The strategy monitors price action for fair value gaps, which are visualized as extremely faint horizontal lines on the chart. These FVGs signal potential areas where institutional traders might have entered or exited positions.
Dynamic Entry Signals:
Buy signals are triggered when the price crosses above the 50-bar lowest low or when a bullish FVG is detected. Conversely, sell signals are generated when the price falls below the 50-bar highest high or a bearish FVG is identified. Each signal is visually marked on the chart with clear buy (green) and sell (red) labels.
Multi-Level Order Execution:
Once an entry signal occurs, the strategy places five separate orders, each with its own take-profit (TP) level. The TP levels are calculated dynamically using the Average True Range (ATR) and a set of predefined multipliers. This allows traders to scale out of positions as the market moves favorably.
Dynamic Risk Management:
A stop-loss is automatically set at a distance determined by the ATR, ensuring that risk is managed in accordance with current market volatility.
Real-Time Trade Information Table:
In the bottom-right corner of the chart, a trade information table displays essential details about the current trade:
Side: Displays "BUY NOW" (with a dark green background) for long entries or "SELL NOW" (with a dark red background) for short entries.
Entry Price & Stop-Loss: Shows the entry price (highlighted in green) and the corresponding stop-loss level (highlighted in red).
Take-Profit Levels: Lists the five TP levels, each of which turns green once the market price reaches that target.
Timer: A live timer in minutes counts from the moment the current trade trigger started, helping traders track the duration of their active trades.
Visual Progress Bar:
A histogram-style progress bar is plotted on the chart, visually representing the percentage gain (or loss) relative to the entry price.
This strategy was meticulously designed to incorporate both technical analysis and smart risk management, offering a robust trading solution that adapts to changing market conditions. Whether you're a seasoned trader or just starting out, the AyebaleJohnBob Trading Bot equips you with the tools and visual cues needed to make well-informed trading decisions. Enjoy a seamless blend of strategy and style—crafted with passion by Ayebale John Bob and his bestie!
Average Price in Time PeriodsThis Pine Script calculates and displays average prices for two specific time ranges during a trading day: from 09:00 to 22:30 and from 22:30 to 09:00. It updates the average prices by summing the closing prices in each time frame and then plots them as green and red lines, respectively. The script also displays black lines outside these specific time ranges to prevent "gaps" in the chart during off-peak hours. The displayed lines are dynamically adjusted based on the current time, with the green line for 09:00-22:30 and the red line for 22:30-09:00.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
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.
On Balance Volume with Cross DetectionThis indicator enhances the On Balance Volume (OBV) indicator by detecting and visually highlighting crossovers and crossunders between the OBV and its smoothed moving average. The script colors the background of the chart to make these key events more noticeable: red highlights a bearish crossunder when the OBV crosses below the smoothed OBV, while green marks a bullish crossover when the OBV crosses above the smoothed OBV. By focusing on these significant interactions, the script provides traders with a clear visual cue to help identify potential buying and selling opportunities based on the relationship between OBV and its smoothed trend.
This script offers several customizable features to suit different trading preferences. The main editable parameter is the type of moving average used to smooth the OBV: you can choose from options such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (RMA), Weighted Moving Average (WMA), or Volume Weighted Moving Average (VWMA). The length of the moving average can also be adjusted to better match the trader’s desired sensitivity, with the default set to 14 periods. These options allow traders to tailor the script to their preferred smoothing method and time frame, making it a flexible tool for a variety of strategies. The ability to switch between different moving averages and adjust their lengths ensures that the script can be adapted to various market conditions and trading styles.
This indicator enhances the analysis of the On Balance Volume (OBV) indicator by visually highlighting key crossovers and crossunders with its smoothed moving average. With customizable settings for different moving averages and lengths, traders can tailor the script to their specific strategies. By offering clear visual cues through background coloring, it helps quickly identify potential buy and sell signals. When combined with other technical analysis tools, this script can further improve trading decisions by providing additional context and confirmation, allowing traders to create a more robust and comprehensive trading strategy.
Displaced MAsDisplaced Moving Averages with Customizable Bands
Overview
The "Displaced Moving Averages with Customizable Bands" indicator is a powerful and versatile tool designed to provide a comprehensive view of price action in relation to various moving averages (MAs) and their volatility. It offers a high degree of customization, allowing traders to tailor the indicator to their specific needs and trading styles. The indicator features a primary moving average with multiple configurable percentage-based displacement bands. It also includes additional moving averages with standard deviation bands for a more in-depth analysis of different timeframes.
Key Features
Multiple Moving Average Types:
Choose from a wide range of popular moving average types for the primary MA calculation:
WMA (Weighted Moving Average)
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
HMA (Hull Moving Average)
VWAP (Volume-Weighted Average Price)
Smoothed VWAP
Rolling VWAP
The flexibility to select the most appropriate MA type allows you to adapt the indicator to different market conditions and trading strategies.
Smoothed VWAP with Customizable Smoothing:
When "Smoothed VWAP" is selected, you can further refine it by choosing a smoothing type: SMA, EMA, WMA, or HMA.
Customize the smoothing period based on the chart's timeframe (1H, 4H, D, W) or use a default period. This feature offers fine-grained control over the responsiveness of the VWAP calculation.
Rolling VWAP with Adjustable Lookback:
The "Rolling VWAP" option calculates the VWAP over a user-defined lookback period.
Customize the lookback length for different timeframes (1H, 4H, D, W) or use a default period. This provides a dynamic VWAP calculation that adapts to the chosen timeframe.
Customizable Lookback Lengths:
Define the lookback period for the primary moving average calculation.
Tailor the lookback lengths for different timeframes (1H, 4H, D, W) or use a default value.
This allows you to adjust the sensitivity of the MA to recent price action based on the timeframe you are analyzing. Also has inputs for 5m, and 15m timeframes.
Percentage-Based Displacement Bands:
The core feature of this indicator is the ability to plot multiple displacement bands above and below the primary moving average.
These bands are calculated as a percentage offset from the MA, providing a clear visualization of price deviations.
Visibility Toggles: Independently show or hide each band (+/- 2%, 5%, 7%, 10%, 15%, 20%, 25%, 30%, 40%, 50%, 60%, 70%).
Customizable Colors: Assign unique colors to each band for easy visual identification.
Adjustable Multipliers: Fine-tune the percentage displacement for each band using individual multiplier inputs.
The bands are useful for identifying potential support and resistance levels, overbought/oversold conditions, and volatility expansions/contractions.
Labels for Displacement Bands:
The indicator displays labels next to each plotted band, clearly indicating the percentage displacement (e.g., "+7%", "-15%").
Customize the label text color for optimal visibility.
The labels can be horizontally offset by a user-defined number of bars.
Additional Moving Averages with Standard Deviation Bands:
The indicator includes three additional moving averages, each with upper and lower standard deviation bands. These are designed to provide insights into volatility on different timeframes.
Timeframe Selection: Choose the timeframes for these additional MAs (e.g., Weekly, 4-Hour, Daily).
Sigma (Standard Deviation Multiplier): Adjust the standard deviation multiplier for each MA.
MA Length: Set the lookback period for each additional MA.
Visibility Toggles: Show or hide the lower band of MA1, the middle/upper/lower bands of MA2, and the bands of MA3.
4h Bollinger Middle MA is unticked by default to provide a less cluttered chart
These additional MAs are particularly useful for multi-timeframe analysis and identifying potential trend reversals or volatility shifts.
How to Use
Add the indicator to your TradingView chart.
Customize the settings:
Select the desired Moving Average Type for the primary MA.
If using Smoothed VWAP, choose the Smoothing Type and adjust the Smoothing Period for different timeframes.
If using Rolling VWAP, adjust the Lookback Length for different timeframes.
Set the Lookback Length for the primary MA for different timeframes.
Toggle the visibility of the Displacement Bands and adjust their Colors and Multipliers.
Customize the Label Text Color and Offset.
Configure the Timeframes, Sigma, and MA Length for the additional moving averages.
Toggle the visibility of the additional MA bands.
Interpret the plotted lines and bands:
Primary MA: Represents the average price over the selected lookback period, calculated using the chosen MA type.
Displacement Bands: Indicate potential support and resistance levels, overbought/oversold conditions, and volatility ranges. Price trading outside these bands may signal significant deviations from the average.
Additional MAs with Standard Deviation Bands: Provide insights into volatility on different timeframes. Wider bands suggest higher volatility, while narrower bands indicate lower volatility.
Potential Trading Applications
Trend Identification: Use the primary MA to identify the overall trend direction.
Support and Resistance: The displacement bands can act as dynamic support and resistance levels.
Overbought/Oversold: Price reaching the outer displacement bands may suggest overbought or oversold conditions, potentially indicating a pullback or reversal.
Volatility Analysis: The standard deviation bands of the additional MAs can help assess volatility on different timeframes.
Multi-Timeframe Analysis: Combine the primary MA with the additional MAs to gain a broader perspective on price action across multiple timeframes.
Entry and Exit Signals: Use the interaction of price with the MA and bands to generate potential entry and exit signals. For example, a bounce off a lower band could be a buy signal, while a rejection from an upper band could be a sell signal.
Disclaimer
This indicator is for informational and educational purposes only and should not be considered 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.
Enjoy using the "Displaced Moving Averages with Customizable Bands" indicator!
