Advanced Moving Average ChannelAdvanced Moving Average Channel (MAC) is a comprehensive technical analysis tool that combines multiple moving average types with volume analysis to provide a complete market perspective.
Key Features:
1. Dynamic Channel Formation
- Configurable moving average types (SMA, EMA, WMA, VWMA, HMA, TEMA)
- Separate upper and lower band calculations
- Customizable band offsets for precise channel adjustment
2. Volume Analysis Integration
- Multi-timeframe volume analysis (1H, 24H, 7D)
- Relative volume comparison against historical averages
- Volume trend detection with visual indicators
- Price-level volume distribution profile
3. Market Context Indicators
- RSI integration for overbought/oversold conditions
- Channel position percentage
- Volume-weighted price levels
- Breakout detection with visual signals
Usage Guidelines:
1. Channel Interpretation
- Price within channel: Normal market conditions
- Price above upper band: Potential overbought condition
- Price below lower band: Potential oversold condition
- Channel width: Indicates market volatility
2. Volume Analysis
- High relative volume (>150%): Strong market interest
- Low relative volume (<50%): Weak market interest
- Volume trend arrows: Indicate increasing/decreasing market participation
- Volume profile: Shows price levels with highest trading activity
3. Trading Signals
- Breakout arrows: Potential trend continuation
- RSI extremes: Confirmation of overbought/oversold conditions
- Volume confirmation: Validates price movements
Customization:
- Adjust MA length for different market conditions
- Modify band offsets for tighter/looser channels
- Fine-tune volume analysis parameters
- Customize visual appearance
This indicator is designed for traders who want to combine price action, volume analysis, and market structure in a single, comprehensive tool.
Moving Averages
5EMA_BB_ScalpingWhat?
In this forum we have earlier published a public scanner called 5EMA BollingerBand Nifty Stock Scanner , which is getting appreciated by the community. That works on top-40 stocks of NSE as a scanner.
Whereas this time, we have come up with the similar concept as a stand-alone indicator which can be applied for any chart, for any timeframe to reap the benifit of reversal trading.
How it works?
This is essentially a reversal/divergence trading strategy, based on a widely used strategy of Power-of-Stocks 5EMA.
To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB.
Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB.
Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low.
Present bar's volume is compared with the previous bar's volume to know if it's rising or falling.
VWAP is also determined using `ta.vwap` built-in support of TradingView.
The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle).
What's special?
We love this reversal trading, as it offers many benifits over trend following strategies:
Risk to Reward (RR) is superior.
It _Does Hit_ stop losses, but the stop losses are tiny.
Means, althrough the Profit Factor looks Nahh , however due to superior RR, end of day it ended up in green.
When the day is sideways, it's difficult to trade in trending strategies. This sort of volatility, reversal strategies works better.
It's always tempting to go agaist the wind. Whole world is in Put/PE and you went opposite and enter a Call/CE. And turns out profitable! That's an amazing feeling, as a trader :)
How to trade using this?
* Put any chart
* Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard).
* It will show you the Green up arrow when buy alert comes or red down arrow when sell comes. * Also on the top right it will show the latest signal with entry, SL and target.
Disclaimer
* This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time.
* We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
BAFD (Price Action For D.....s)🧠 Overview
This indicator combines multiple Moving Averages (MA) with visual price action elements such as Fair Value Gaps (FVGs) and Swing Points. It provides traders with real-time insight into trend direction, structural breaks, and potential entry zones based on institutional price behavior.
⚙️ Features
1. Multi MA Visualization (SMA & EMA)
- Plots short-, mid-, and long-term moving averages
- Fully customizable: MA type (SMA/EMA) and length per MA
- Dynamic color coding: green for bullish, red for bearish (based on close >/< MA)
2. Fair Value Gaps (FVG) Detection
Detects bullish and bearish imbalances using multiple logic types:
- Same Type: Last 3 candles move in the same direction
- Twin Close: Last 2 candles close in the same direction
- All: Shows all valid FVGs regardless of pattern
Gaps are marked with semi-transparent yellow boxes
Useful for identifying potential liquidity voids and retest zones
3. Swing Highs and Lows
- Automatically identifies major swing points
- Customizable sensitivity (strength setting)
Marked with subtle colored dots for structure identification or support/resistance mapping
📈 Use Cases
- Trend Identification: Visualize momentum on multiple timeframes
- Liquidity Mapping: Spot potential retracement zones using FVGs
- Confluence Building: Combine MA slope, FVG zones, and swing points for refined setups
🛠️ Customizable Settings
- Moving average type and length for each MA
- FVG logic selection and color
- Swing point strength
🔔 Note
This script does not generate buy/sell signals or alerts. It is designed as a visual decision-support tool for discretionary traders who rely on market structure, trend, and price action.
Brian Shannon 5-Day MA BackgroundBrian Shannon 5-Day Moving Average with Dynamic Background Fill
OVERVIEW
This indicator implements Brian Shannon's renowned 5-Day Moving Average methodology from his acclaimed work "Technical Analysis Using Multiple Timeframes." The indicator provides instant visual clarity on short-term trend direction and momentum, making it an essential tool for swing traders and active investors.
KEY FEATURES
• True 5-Day Moving Average: Dynamically calculates the correct period across all timeframes (1min, 5min, 15min, 1H, etc.)
• Visual Price-to-MA Relationship: Color-coded fill between price and the moving average
- Green Fill: Price is above the 5-day MA (bullish short-term momentum)
- Red Fill: Price is below the 5-day MA (bearish short-term momentum)
• Multi-Timeframe Compatible: Works seamlessly on any chart timeframe while maintaining the true 5-day calculation
BRIAN SHANNON'S STRATEGIC APPLICATION
Primary Uses:
1. Trend Identification: Quickly identify short-term momentum shifts
2. Dynamic Support/Resistance: The 5-day MA acts as a moving support level in uptrends and resistance in downtrends
3. Entry Signal Confirmation: Look for pullbacks to the 5-day MA as potential entry points in trending stocks
4. Multi-Timeframe Analysis: Essential component of Shannon's multiple timeframe approach
Perfect Combination with:
• AVWAP (Anchored Volume Weighted Average Price): Use together to identify high-probability setups where price is above both the 5-day MA and AVWAP
• Longer-term Moving Averages: Combine with 20-day and 50-day MAs for complete trend analysis
• Volume Analysis: Confirm 5-day MA signals with volume patterns
TRADING APPLICATIONS
For Swing Traders:
• Bullish Setup: Price above 5-day MA + above AVWAP + above longer-term MAs = Strong uptrend
• Bearish Setup: Price below 5-day MA + below AVWAP + below longer-term MAs = Strong downtrend
• Entry Timing: Use pullbacks to the 5-day MA as entry opportunities in the direction of the primary trend
For Day Traders:
• Quick visual confirmation of intraday momentum
• Dynamic support/resistance levels for scalping opportunities
• Clear trend bias for directional trades
WHY THIS INDICATOR WORKS
Brian Shannon's approach emphasizes that the 5-day moving average represents the short-term sentiment of market participants. When price is consistently above this level, it indicates buyers are in control of short-term price action. Conversely, when price falls below, it suggests selling pressure is dominating.
The visual fill makes it immediately obvious:
• How far price is from the 5-day MA
• The strength of the current short-term trend
• Potential areas where price might find support or resistance
BEST PRACTICES
1. Never use in isolation - Always combine with longer timeframe analysis
2. Volume confirmation - Look for volume expansion on moves away from the 5-day MA
3. Multiple timeframe approach - Check higher timeframes for overall trend direction
4. Combine with AVWAP - Most powerful when both indicators align
INSTALLATION NOTES
This indicator automatically adjusts for any timeframe, ensuring you always get a true 5-trading-day moving average regardless of whether you're viewing 1-minute or hourly charts.
Based on the technical analysis methodology of Brian Shannon, author of "Technical Analysis Using Multiple Timeframes"
AutoFib Breakout Strategy for Uptrend AssetsThis trading strategy is designed to help you catch powerful upward moves on assets that are in a long-term uptrend, such as Gold (XAUUSD). It uses a popular technical tool called the Fibonacci Extension, combined with a trend filter and a risk-managed exit system.
✅ When to Use This Strategy
• Works best on higher timeframes: Daily (1D), 3-Day (3D), or Weekly (W).
• Best used on uptrending assets like Gold.
• Designed for swing trading – holding trades from a few days to weeks.
📊 How It Works
1. Find the Trend
We only want to trade in the direction of the trend.
• The strategy uses the 200-period EMA (Exponential Moving Average) to identify if the market is in an uptrend.
• If the price is above the 200 EMA, we consider it an uptrend and allow long trades.
2. Identify Breakout Levels
• The strategy detects recent high and low pivot points to draw Fibonacci extension levels.
• It focuses on the 1.618 Fibonacci level, which is often a target in strong trends.
• When the price breaks above this level in an uptrend, it signals a potential momentum breakout – a good time to buy.
3. Enter a Trade
• The strategy enters a long (buy) position when the price closes above the 1.618 Fibonacci level and the market is in an uptrend (above the 200 EMA).
4. Manage Risk Automatically
• The trade includes a stop-loss set to 1x the ATR (Average True Range) below the entry price – this protects against sudden drops.
• It sets a take-profit at 3x the ATR above the entry – aiming for higher rewards than risks.
⚠️ Important Notes
• 📈 Higher Timeframes Preferred: This strategy works best on Daily (D), 3-Day (3D), and Weekly (W) charts, especially on Gold (XAUUSD).
• 🧪 Not for Deep Backtesting: Due to the nature of how pivot points and Fib levels are calculated, this strategy may not perform well in backtesting simulations (because the historical calculations can shift). It is better used for live analysis and forward testing.
McGinley Dynamic debugged🔍 McGinley Dynamic Debugged (Adaptive Moving Average)
This indicator plots the McGinley Dynamic, a mathematically adaptive moving average designed to reduce lag and better track price action during both trends and consolidations.
✅ Key Features:
Adaptive smoothing: The McGinley Dynamic adjusts itself based on the speed of price changes.
Lag reduction: Compared to traditional moving averages like EMA or SMA, McGinley provides smoother yet responsive tracking.
Stability fix: This version includes a robust fix for rare recursive calculation issues, particularly on low-priced historical assets (e.g., Wipro pre-2000).
⚙️ What’s Different in This Debugged Version?
Implements manual clamping on the source / previous value ratio to prevent mathematical spikes that could cause flattening or distortion in the plotted line.
Ensures more stable behavior across all instruments and timeframes, especially those with historically low price points or volatile early data.
💡 Use Case:
Ideal for:
Trend confirmation
Entry filtering
Adaptive support/resistance visualization
Improving signal precision in low-volatility or high-noise environments
⚠️ Notes:
Works best when combined with volume filters or other trend indicators for validation.
This version is optimized for visual use—for signal generation, consider pairing it with additional logic or thresholds.
QQQ Strategy v2 ESL | easy-peasy-x This is a strategy optimized for QQQ (and SPY) for the 1H timeframe. It significantly outperforms passive buy-and-hold approach. With settings adjustments, it can be used on various assets like stocks and cryptos and various timeframes, although the default out of the box settings favor QQQ 1H.
The strategy uses various triggers to take both long and short trades. These can be adjusted in settings. If you try a different asset, see what combination of triggers works best for you.
Some of the triggers employ LuxAlgo's Ultimate RSI - shoutout to him for great script, check it out here .
Other triggers are based on custom signed standard deviation - basically the idea is to trade Bollinger Bands expansions (long to the upside, short to the downside) and fade or stay out of contractions.
There are three key moving averages in the strategy - LONG MA, SHORT MA, BASIC MA. Long and Short MAs are guides to eyes on the chart and also act as possible trend filters (adjustable in settings). Basic MA acts as guide to eye and a possible trade trigger (adjustable in settings).
There are a few trend filters the strategy can use - moving average, signed standard deviation, ultimate RSI or none. The filters act as an additional condition on triggers, making the strategy take trades only if both triggers and trend filter allows. That way one can filter out trades with unfavorable risk/reward (for instance, don't long if price is under the MA200). Different trade filters can be used for long and short trades.
The strategy employs various stop loss types, the default of which is a trailing %-based stop loss type. ATR-based stop loss is also available. The default 1.5% trailing stop loss is suitable for leveraged trading.
Lastly, the strategy can trigger take profit orders if certain conditions are met, adjustable in settings. Also, it can hold onto winning trades and exit only after stop out (in which case, consecutive triggers to take other positions will be ignored until stop out).
Let me know if you like it and if you use it, what kind of tweaks would you like to see.
With kind regards,
easy-peasy-x
Bullish Bearish Signal with EMA Color + LabelsThis script generates clear BUY and SELL signals based on a combination of trend direction, momentum, and confirmation from multiple indicators. It is intended to help traders identify strong bullish or bearish conditions using commonly trusted tools: EMA 200, MACD, and RSI.
🔍 How it works:
The strategy combines three key elements:
EMA 200 Trend Filter
Identifies the long-term trend:
Price above EMA200 → Bullish trend bias
Price below EMA200 → Bearish trend bias
The EMA line is color-coded:
🔵 Blue for bullish
🔴 Red for bearish
⚪ Gray for neutral/unclear
MACD Crossover
Detects shifts in market momentum:
Bullish: MACD line crosses above signal line
Bearish: MACD line crosses below signal line
RSI Confirmation
Adds an extra layer of confirmation:
Bullish: RSI is above its signal line
Bearish: RSI is below its signal line
✅ Signal Logic:
BUY Signal appears when:
Price > EMA200
MACD crosses up
RSI > its signal line
SELL Signal appears when:
Price < EMA200
MACD crosses down
RSI < its signal line
Labels will appear on the chart to highlight these events.
🔔 Alerts:
The script includes alerts for both Buy and Sell conditions, so you can be notified in real-time when they occur.
📈 How to Use:
Best used in trending markets.
Recommended for higher timeframes (1H and above).
May be combined with other tools such as support/resistance or candlestick analysis.
⚠️ Disclaimer: This script is intended for educational purposes only and does not constitute financial advice or a trading recommendation.
Multi-Indicator Trend-Following Strategy v6Multi-Indicator Trend-Following Strategy v6
This strategy uses a combination of technical indicators to identify potential trend-following trade entries and exits. It is intended for educational and research purposes.
How it works:
Moving Averages (EMA): Entry signals are generated on crossovers between a fast and slow exponential moving average.
RSI Filter: Confirms momentum with a threshold above/below 50 for long/short entries.
Volume Confirmation: Requires volume to exceed a moving average multiplied by a user-defined factor.
ATR-Based Risk Management: Stop loss and take profit levels are calculated using the Average True Range (ATR), allowing for dynamic risk control based on market volatility.
Customizable Inputs:
Fast/Slow MA lengths
RSI length and levels
MACD settings (used in calculation, not directly in signal)
Volume MA and multiplier
ATR period and multipliers for stop loss and take profit
Notes:
This strategy does not guarantee future results.
It is provided for analysis and backtesting only.
Alerts are available for buy/sell conditions.
Feel free to adjust parameters to explore different market conditions and asset classes.
Price equilibrium between buyers and sellers [Soroush Rezaei]This indicator visualizes the dynamic balance between buyers and sellers using two simple moving averages (SMAs) based on the high and low prices.
The green line (SMA of highs) reflects the upper pressure zone, while the red line (SMA of lows) represents the lower support zone.
When price hovers between these two levels, it often signals a state of temporary equilibrium — a consolidation zone where buyers and sellers are relatively balanced.
Use this tool to:
Identify ranging or balanced market phases
Spot potential breakout or reversal zones
Enhance your multi-timeframe or price action strategy
Recommended for intraday and swing traders seeking visual clarity on market structure and momentum zones.
Dr Avinash Talele momentum indicaterTrend and Volatility Metrics
EMA10, EMA20, EMA50:
Show the percentage distance of the current price from the 10, 20, and 50-period Exponential Moving Averages.
Positive values indicate the price is above the moving average (bullish momentum).
Negative values indicate the price is below the moving average (bearish or corrective phase).
Use: Helps traders spot if a stock is extended or pulling back to support.
RVol (Relative Volume):
Compares current volume to the 20-day average.
Positive values mean higher-than-average trading activity (potential institutional interest).
Negative values mean lower activity (less conviction).
Use: High RVol often precedes strong moves.
ADR (Average Daily Range):
Shows the average daily price movement as a percentage.
Use: Higher ADR = more volatility = more trading opportunities.
50D Avg. Vol & 50D Avg. Vol ₹:
The 50-day average volume (in millions) and value traded (in crores).
Use: Confirms liquidity and suitability for larger trades.
ROC (Rate of Change) Section
1W, 1M, 3M, 6M, 12M:
Show the percentage price change over the last 1 week, 1 month, 3 months, 6 months, and 12 months.
Positive values (green) = uptrend, Negative values (red) = downtrend.
Use: Quickly see if the stock is gaining or losing momentum over different timeframes.
Momentum Section
1M, 3M, 6M:
Show the percentage gain from the lowest price in the last 1, 3, and 6 months.
Use: Measures how much the stock has bounced from recent lows, helping find strong rebounds or new leaders.
52-Week High/Low Section
From 52WH / From 52WL:
Show how far the current price is from its 52-week high and low, as a percentage.
Closer to 52WH = strong uptrend; Closer to 52WL = possible value or turnaround setup.
Use: Helps traders identify stocks breaking out to new highs or rebounding off lows.
U/D Ratio
U/D Ratio:
The ratio of up-volume to down-volume over the last 50 days.
Above 1 = more buying volume (bullish), Below 1 = more selling volume (bearish).
Use: Confirms accumulation or distribution.
How This Table Helps Analysts and Traders
Instant Trend Assessment:
With EMA distances and ROC, analysts can instantly see if the stock is trending, consolidating, or reversing.
Momentum Confirmation:
ROC and Momentum sections highlight stocks with strong recent moves, ideal for momentum and breakout traders.
Liquidity and Volatility Check:
Volume and ADR ensure the stock is tradable and has enough price movement to justify a trade.
Relative Positioning:
52-week high/low stats show whether the stock is near breakout levels or potential reversal zones.
Volume Confirmation:
RVol and U/D ratio help confirm if moves are backed by real buying/selling interest.
Actionable Insights:
By combining these metrics, traders can filter for stocks with strong trends, robust momentum, and institutional backing—ideal for swing, position, or even intraday trading.
Best EMA FinderThis script, Best EMA Finder, is based on the same original logic as the Best SMA Finder I published previously. Although it was not the initial goal of the project, several users asked for an EMA version, so here it is.
The script scans a wide range of Exponential Moving Average (EMA) lengths, from 10 to 500, and identifies the one that historically delivered the most robust performance on the current chart. The choice to stop at 500 is deliberate: beyond that point, EMA curves tend to flatten and converge, adding processing time without meaningful differences in signals or outcomes.
Each EMA is evaluated using a custom robustness score:
Profit Factor × log(Number of Trades) × sqrt(Win Rate)
Only EMA lengths that exceed a user-defined minimum number of trades are considered valid. Among these, the one with the highest robustness score is selected and displayed on the chart.
A table summarizes the results:
- Best EMA length
- Total number of trades
- Profit Factor
- Win Rate
- Robustness Score
You can adjust:
- Strategy type: Long Only or Buy & Sell
- Minimum number of trades required
- Table visibility
This script is designed for analysis and optimization only. It does not execute trades or handle position sizing. Only one open trade per direction is considered at a time.
NY Opening Range Breakout - MA StopCore Concept
This strategy trades breakouts from the New York opening range (9:30-9:45 AM NY time) on intraday timeframes, designed for scalping and day trading.
Setup Requirements
Timeframe: Works on any timeframe under 15 minutes (1m, 2m, 3m, 5m, 10m)
Session: New York market hours
Range Period: 9:30-9:45 AM NY time (15-minute opening range)
Entry Rules
Long Entries:
Wait for a candle to close above the opening range high
Enter long on the next candle (before 12:00 PM NY time)
Must be above moving average if using MA-based take profit
Short Entries:
Wait for a candle to close below the opening range low
Enter short on the next candle (before 12:00 PM NY time)
Must be below moving average if using MA-based take profit
Risk Management
Stop Loss:
Long trades: Opening range low
Short trades: Opening range high
Take Profit Options:
Fixed Risk Reward: 1.5x the range size (customizable ratio)
Moving Average: Exit when price crosses back through MA
Both: Whichever comes first
Key Features
Trade Direction Options:
Long Only
Short Only
Both directions
Moving Average Filter:
Prevents entries that would immediately hit stop loss
Uses EMA/SMA/WMA/VWMA with customizable length
Acts as dynamic support/resistance
Time Restrictions:
No entries after 12:00 PM NY time (customizable cutoff)
One trade per direction per day
Daily reset of all variables
Visual Elements
Red/green lines showing opening range
Purple line for moving average
Entry and breakout signals with shapes
Take profit and stop loss levels plotted
Information table with current status
Strategy Logic Flow
Morning: Capture 9:30-9:45 range high/low
Wait: Monitor for breakout (previous candle close outside range)
Filter: Check MA condition if using MA-based exits
Enter: Trade on next candle after breakout
Manage: Exit at fixed TP, MA cross, or stop loss
Reset: Start fresh next trading day
This is a momentum-based breakout strategy that capitalizes on early market volatility while using the opening range as natural support/resistance levels.
MTF MACD 4-Color Momentum System🎯 Overview
The MTF MACD 4-Color Momentum System is an advanced MACD indicator that provides crystal-clear momentum visualization through an innovative 4-color state system. Unlike traditional MACD indicators that only show positive/negative values, this indicator identifies four distinct market states to help traders make more informed decisions.
📊 Key Features
1. Four-State Color System:
🟢 Lime: Above zero + Rising (Strong Bullish Momentum)
🟢 Dark Green: Above zero + Falling (Weakening Bullish Momentum)
🔴 Red: Below zero + Falling (Strong Bearish Momentum)
🔴 Maroon: Below zero + Rising (Weakening Bearish Momentum)
2. Multi-Timeframe Analysis:
View higher timeframe MACD on lower timeframe charts
Confirm trends across multiple timeframes
Reduce false signals with multi-timeframe confluence
3. Flexible Display Options:
Three visualization styles: Histogram, Columns, or Line
Toggle individual color states on/off
Customizable colors and line widths
4. Advanced Features:
Optional histogram smoothing to reduce noise
Zero-cross alerts with visual markers
Color state change alerts
Real-time value display
Customizable signal line overlay
💡 How to Use
1. Momentum Identification:
Lime bars indicate strong upward momentum - ideal for long entries
Dark green suggests momentum is slowing - consider taking profits
Red bars show strong downward momentum - ideal for short entries
Maroon indicates potential reversal brewing - prepare for direction change
2. Zero Line Crosses:
Blue triangles mark bullish crosses above zero
Pink triangles mark bearish crosses below zero
Use these as confirmation signals with other indicators
3. Multi-Timeframe Confirmation:
Set to higher timeframe (e.g., 4H on 15m chart)
Look for alignment between timeframes before entering trades
Avoid trades against higher timeframe momentum
⚙️ Settings Guide
MACD Parameters:
Fast EMA: 12 (default) - Adjust for more/less sensitivity
Slow EMA: 26 (default) - Standard MACD setting
Signal: 9 (default) - Smoothing period
Display Customization:
Choose between Histogram, Columns, or Line display
Enable/disable specific color states
Adjust visual properties to match your chart theme
Alerts:
Zero cross alerts for trend changes
Color state alerts for momentum shifts
📈 Trading Strategies
1. Momentum Continuation:
Enter longs when MACD turns lime (above zero + rising)
Enter shorts when MACD turns red (below zero + falling)
Exit when color shifts to "weakening" state
2. Reversal Trading:
Watch for maroon in downtrends (potential bottom)
Watch for dark green in uptrends (potential top)
Confirm with price action and support/resistance
3. Multi-Timeframe Confluence:
Use daily MACD on 1H chart for trend direction
Enter on lower timeframe signals in direction of higher timeframe
Avoid counter-trend trades when higher timeframe shows strong momentum
🎓 Pro Tips
Combine with volume indicators for confirmation
Use with support/resistance levels for better entries
Enable smoothing in choppy markets to reduce false signals
Pay attention to divergences between price and MACD
⚠️ Risk Disclaimer
This indicator is for educational purposes only. Always use proper risk management and combine with other analysis methods. Past performance does not guarantee future results.
RSI SwingRadar🧠 Strategy Overview
This long-only strategy combines RSI/MA crossovers with ATR-based risk management, designed for cleaner entries during potential bounce phases — especially tuned for assets like XMR/USDT.
🔍 Core Logic:
- RSI Crossover: Entry occurs when the 14-period RSI crosses above its 14-period SMA, signaling a potential shift in momentum.
- Oversold Filter: The RSI must have been below a user-defined oversold threshold (default: 35) on the previous candle, filtering for bounce setups after a pullback.
- ATR-Based Stop/Target: Stop-loss is placed below the low by a user-adjustable ATR multiplier (default: 0.5×). Take-profit is calculated with a Risk:Reward multiplier (default: 4×).
These elements work in tandem — RSI crossovers give momentum confirmation, oversold filtering adds context, and ATR-based exits adapt to volatility, creating a compact yet responsive strategy.
📉 Visuals:
- Dynamic Bands: The chart displays the active stop-loss, entry price, and take-profit as colored bands for easy visual tracking.
- Clean Overlay: Designed with simplicity — only confirmed setups are shown, keeping noise low.
✅ Suggested Use:
- Works best on XMR/USDT or similarly trending assets.
- Best suited for pullback entries during broader uptrends.
- Adjustable for different volatility conditions and asset behaviors.
⚠️ Disclaimer
- This strategy is for educational and research purposes only.
- It does not guarantee profitability in any market.
- Always backtest, forward-test, and understand your own risk tolerance before using any
strategy in a live environment.
- Past performance is not indicative of future results.
- This script is not financial advice.
Hull Moving Average RibbonGradient Wave HMA - Multi-Ribbon Hull Moving Average System
Overview
The Gradient Wave HMA is an advanced technical indicator that transforms Alan Hull's Hull Moving Average (HMA) into a dynamic multi-layered ribbon system. Unlike traditional moving average ribbons that use simple or exponential calculations, this indicator applies Hull's innovative lag-reduction formula across 12 different timeframes simultaneously, creating a visually striking gradient effect that flows with market momentum.
Technical Foundation
This indicator is built upon the Hull Moving Average, developed by Alan Hull in 2005. The HMA uses a weighted moving average calculation designed to almost eliminate lag while maintaining curve smoothness:
HMA = WMA(2*WMA(n/2) − WMA(n), sqrt(n))
Credit: Alan Hull (www.alanhull.com)
Key Features
Multi-Period Ribbon Structure
12 individual HMA lines with customizable periods
Preset configurations for different trading styles:
Fast: 3-30 period range (scalping/intraday)
Swing: 8-55 period range (swing trading)
Position: 20-100 period range (position trading)
Custom: User-defined periods
2. Neon Gradient Visualization
Bullish Gradient: Transitions from blue-purple to hot purple
Bearish Gradient: Flows from hot pink to purple-pink
Each line has a unique color in the spectrum
Gradient fills between lines create depth and visual flow
3. Advanced Alert System
Trend Reversal Alerts: Notifies when ribbon changes direction
Price Breakout Alerts: Triggers when price crosses the ribbon
Compression Alerts: Signals potential breakouts during consolidation
Expansion Alerts: Confirms strong trending conditions
Momentum Surge Alerts: Catches explosive moves early
How It Works
The indicator calculates 12 Hull Moving Averages, each with a different period length. The trend direction is determined by the middle HMA (6th line), which triggers the color change across the entire ribbon. When trending up, the ribbon displays a purple gradient; when trending down, it shifts to a pink gradient.
Trading Applications
1. Trend Identification
Ribbon color indicates overall trend direction
All lines moving in sync confirms strong trend
Mixed signals suggest choppy or transitioning markets
2. Dynamic Support/Resistance
In uptrends, the ribbon acts as moving support
In downtrends, it provides resistance levels
Multiple layers offer various strength levels
3. Momentum Analysis
Expanding ribbon = Increasing momentum
Contracting ribbon = Decreasing momentum/consolidation
Ribbon angle indicates trend strength
4. Trading Example
Advantages Over Traditional MAs
Reduced Lag: Hull's formula provides faster response than SMA/EMA ribbons
Visual Clarity: Gradient effect makes trend changes immediately visible
Multiple Timeframes: 12 periods provide comprehensive market view
Flexibility: Presets adapt to different trading styles
Best Practices
Use higher timeframes (4H, Daily) for position trading
Combine with volume indicators for confirmation
Watch for ribbon compression before major moves
Consider overall market conditions when interpreting signals
Customization Options
Adjust individual HMA periods
Fine-tune transparency for different backgrounds
Choose between WMA and EMA base calculations
The Gradient Wave HMA combines Alan Hull's breakthrough moving average formula with modern visualization techniques to create a powerful trend-following tool that's both technically sophisticated and visually intuitive.
NoNoiseMA & SlopeHappy trade,
This is a noise-reduced moving average — let's call it the No-Noise MA. A MA where false breakout price action should have little to no impact, while the main trend remains fully represented. In comparison to previous MAs this one's trend appear more linear, and sideways price actions becomes easier to detect thanks to it's unique two filter stages.
In short, the No-Noise-MA (Noise-Reduced Moving Average) is calculated as the cumulative sum of the slopes derived from the center line of the last x pivot points. Let’s break it down step by step:
Pivot Detection:
A pivot algorithm (an adapted variant of the Bilson-Gann-Count method) identifies consecutive pivot points (high, low, high, low, etc.) in the close price series. Let's call this set of Pivots S.
Center Line Calculation:
Out of the set S the last x pivots are used to compute a center line (linear regression line). Always when a new pivot is confirmed, the oldest pivot in the queue is removed, and the new pivot is added.
Slope Extraction:
The center line is defined by its equation shown in the image below
Image 1
Cumulative Slope Sum:
As shown in the image 1 the slope is a series with values around zero. The No-Noise-MA is then just the cumulative sum of the slope series and a correction term. A correction term is needed otherwise the No-Noise-MA would run away over time from the original close price. The correction term is just the deviation between close price and cumulative slope sum multiply with a factor around 0.01 added to the No-Noise-MA.
Noise Reduction:
The goal of noise reduction is done by two filter stages. First Filter is the reduction of the input values. As shown above not all bars close prices are use, instead it uses just the pivot points delivered by the Bilson-Gann-Count method. Favorable the Bilson-Gann-Count method delivers the Pivot points in most cases much faster as other Pivot methods. Already after two bars a new Pivot is confirmed. This takes out all ups and downs between two consecutive Pivots. This first filter stage is legit because all price action in between is hedged by the Pivots.
The second filter stage is the done by the length of the center line. As more pivots are used to calculate the center line as smoother the slope becomes. Out liners just gets less impact if the base is bigger. So the number of involved Pivots has the same meaning as the lengths in any other MA.
Comparison with usual MAs:
For a comparison with other MAs this script also calculate the average lengths of the center line, shown in the upper right chart. So choose for example SMA and set the length parameter to the average length of the center line. As shown in the following image 2.
Image 2
This way both MAs have the same data base and can be objectively compared.
Trend detection:
The slope of the center line can be used for trend confirmation. A slope bigger then zero is an up trend while a slope smaller then zero is a down trend. And side way price action is indicated when the slope is around zero within a certain threshold.
Image 3
One hint should be mentioned here. The side way section gets indicated much later. About the number of bars as the center line is long. Before that there are just up or down trend predicted. In the image 2 you see the slope is firstly tin and as more bars past by the slope becomes more thick. This should indicate the point where no side way predictions will happens anymore.
Variation of calculation
In the settings menu you can find the setting "Include last close to center line". With this activated the center line is calculated with the last pivots and the last close price. The last close price is assumed as a pivot too. This gives the slope a more early reaction to volatile price action. But also brings back some noise.
Custom Paul MACD-likePaul MACD is an indicator created by David Paul. It is implemented to effectively represent trend periods and non-trend (sideways/consolidation) periods, and its calculation method is particularly designed to reduce whipsaw.
Unlike the existing MACD which uses the difference between short-term (12) and long-term (26) exponential moving averages (EMA), Paul MACD has a different calculation method. This indicator uses a "center value" or "intermediate value". Calculation occurs when this intermediate value is higher than the High value (specifically, the difference between the center and High is calculated) or lower than the Low value (specifically, the difference between the center and Low is calculated). Otherwise, the value becomes 0. Here, the High and Low values are intended to be smoothly reflected using Smoothed Moving Average (SMMA). The indicator's method itself (using SMMA and ZLMA) is aimed at diluting whipsaws.
Thanks to this calculation method, in sections where whipsaw occurs, meaning when the intermediate value is between High and Low, the indicator value is expressed as 0 and appears as a horizontal line (zero line). This serves to visually clearly show sideways/consolidation periods.
21-Day Trend Direction📈 21-Day Trend Direction Indicator
📊 How It Works:
🎯 Trend Detection Logic:
Analyzes last 21 daily candles
Calculates total price change from start to end
Compares against sideways threshold (default 2%)
Counts bullish vs bearish days
Tracks higher highs and lower lows
📈 Trend Classifications:
• 📈 UPTREND: Price change > +2% over 21 days
• 📉 DOWNTREND: Price change < -2% over 21 days
• ➡️ SIDEWAYS: Price change between -2% and +2%
💪 Trend Strength Levels:
• 🔥 Very Strong: >5% price change
• 💪 Strong: 3-5% price change
• 📊 Moderate: 1.5-3% price change
• 📉 Weak: <1.5% price change
🎨 Visual Features:
📋 Information Table Shows:
• Trend Direction with color coding
• Price Change % over 21 days
• Trend Strength classification
• Bull/Bear Days count
• Higher Highs/Lower Lows count
• Analysis Period (customizable)
📊 Chart Indicators:
• Trend Line (21-day moving average)
• Background Color for quick trend identification
• Trend Arrows (▲ ▼ ➡) on chart
• Customizable display options
⚙️ Customizable Settings:
🎯 Analysis Settings:
• Lookback Days: 5-50 days (default: 14)
• Sideways Threshold: 0.5-10% (default: 2%)
• Trend Strength: Low/Medium/High sensitivity
🎨 Display Options:
• Table Position: 9 different positions
• Table Size: Tiny to Large
• Show/Hide: Table, Trend Line, Background, Arrows
🚨 Alert Options:
• Trend Change to Uptrend
• Trend Change to Downtrend
• Trend Change to Sideways
This indicator gives you a clear, objective view of the 21-day trend with multiple confirmation signals! 🚀
SMA Zone with Breakouts/Tests 1.0.This indicator plots a dynamic “SMA Zone” between two simple moving averages (one applied to lows, one to highs) and highlights key interaction points with the zone:
Breakouts
Bull Break: price closes above the upper SMA
Bear Break: price closes below the lower SMA
Requires confirmation via either above-average volume or an unusually wide bar (spread > ATR) closing near its extreme
Tests & Retests
After a breakout, the first re-entry into the zone edge is labeled “Test,” subsequent re-entries are numbered “Retest,” “2nd Retest,” etc.
Zone Weakening: each additional Test/Retest signifies diminished zone strength—fewer reliable boundaries remain (Traditional S/R theory)
Alerts
Fires a unified “Zone Signal” alert on every Break, Test, and Retest (set condition to “Any alert() function call”).
Disclaimer:
This is not financial advice and should not be used as a standalone trading signal.
It’s designed to draw your attention to important price-zone interactions so you can manually tune in.
The logic can be further enhanced or combined with other indicators/algorithms as part of a more complex trading system.
Smooth BTCSPL [GiudiceQuantico] – Dual Smoothed MAsSmooth BTCSPL – Dual Smoothed MAs
What it measures
• % of Bitcoin addresses in profit vs loss (on-chain tickers).
• Spread = profit % − loss % → quick aggregate-sentiment gauge.
• Optional alpha-decay normalisation ⇒ keeps the curve on a 0-1 scale across cycles.
User inputs
• Use Alpha-Decay Adjusted Input (true/false).
• Fast MA – type (SMA / EMA / WMA / VWMA) & length (default 100).
• Slow MA – type & length (default 200).
• Colours – Bullish (#00ffbb) / Bearish (magenta).
Computation flow
1. Fetch daily on-chain series.
2. Build raw spread.
3. If alpha-decay enabled:
alpha = (rawSpread − 140-week rolling min) / (1 − rolling min).
4. Smooth chosen base with Fast & Slow MAs.
5. Bullish when Fast > Slow, bearish otherwise.
6. Bars tinted with the same bull/bear colour.
How to read
• Fast crosses above Slow → rising “addresses-in-profit” momentum → bullish bias.
• Fast crosses below Slow → stress / capitulation risk.
• Price-indicator divergences can flag exhaustion or hidden accumulation.
Tips
• Keep in a separate pane (overlay = false); bar-colouring still shows on price chart.
• Shorter lengths for swing trades, longer for macro outlook.
• Combine with funding rates, NUPL or simple price-MA crossovers for confirmation.
MNQ EMA StrategyThis strategy is not perfected yet. ONE MINUTE TIMEFRAME
The goal is to take Longs above the 5 ema when price is above all the 200, 30, and 5 ema.
Short side is when candle closes below the 5 ema and price is below the 300, 30, and 5 ema.
I use candle range blocks for different time zones to avoid excess orders from being triggered. As well as blocks when stoploss is hit or after a profitable trade of certain ticks.
There is an RSI to avoid trades when there isn't too much movement.
My goal is to get an entry when price trades above the 5 ema and then next candle passes it by .25 instead of entering immediately. The stoploss as the low of candle before entry and TP as 3 times the stoploss. I've tried a million times to make it like this but I don't know how to use pine script or Code.
The sell side is basically the same, enter at candle close below 5 ema wait for low to get swept to enter and stoploss above previous high, with TP 3 times the stoploss.
Publishing in hopes anyone knows how to adjust this
CAUTION THIS STRATEGY WORKS WITH CURRENT PRICE ACTION DUE TO ME USING RECENT TICK COUNT RATHER THAN BASED ON CANDLES OR PERCENTAGES. THIS WILL ONLY WORK AS LONG AS MARKET MOVES AS IT HAS BEEN SINCE 2024. CME_MINI:MNQ1!
Hull MA Channel with Filtered CrossoversI've created an indicator that let's you create a HMA channel with 2 displaced HMA (A/B). As well as a HMA crossover set (C/D).
Here's how it works:
The HMA crossovers from C and D will not signal unless they are outside of the channel of A and B. As a matter of fact, NO buy signal whatsoever will occur above the channel and NO sell signal will occur below the channel.
The crossover HMA pair (C/D) can have their lengths adjusted to the 0.00 decimal point for VERY fine tuning of the crossovers.
(edit-it doesn't fine tune to the .00. This must not be a feature that is able to be utilized. I tried) The length adjustment still works to the nearest whole number. The .00 are mute :(
In keeping with that same logic, you can adjust the displacement of the channel independently to the 0.00 decimal, again for VERY fine tuning.
This is great for reversals while eliminating noise from false signals, keeping the chart nice and clean. Should be used in combination with other indicators for the best confirmations.
