Linear Regression Forecast (ADX Adaptive)Linear Regression Forecast (ADX Adaptive)
This indicator is a dynamic price projection tool that combines multiple linear regression forecasts into a single, adaptive forecast curve. By integrating trend strength via the ADX and directional bias, it aims to visualize how price might evolve in different market environments—from strong trends to mean-reverting conditions.
Core Concept:
This tool builds forward price projections based on a blend of linear regression models with varying lookback lengths (from 2 up to a user-defined max). It then adjusts those projections using two key mechanisms:
ADX-Weighted Forecast Blending
In trending conditions (high ADX), the model follows the raw forecast direction. In ranging markets (low ADX), the forecast flips or reverts, biasing toward mean-reversion. A logistic transformation of directional bias, controlled by a steepness parameter, determines how aggressively this blending reacts to price behavior.
Volatility Scaling
The forecast’s magnitude is scaled based on ADX and directional conviction. When trends are unclear (low ADX or neutral bias), the projection range expands to reflect greater uncertainty and volatility.
How It Works:
Regression Curve Generation
For each regression length from 2 to maxLength, a forward projection is calculated using least-squares linear regression on the selected price source. These forecasts are extrapolated into the future.
Directional Bias Calculation
The forecasted points are analyzed to determine a normalized bias value in the range -1 to +1, where +1 means strongly bullish, -1 means strongly bearish, and 0 means neutral.
Logistic Bias Transformation
The raw bias is passed through a logistic sigmoid function, with a user-defined steepness. This creates a probability-like weight that favors either following or reversing the forecast depending on market context.
ADX-Based Weighting
ADX determines the weighting between trend-following and mean-reversion modes. Below ADX 20, the model favors mean-reversion. Above 25, it favors trend-following. Between 20 and 25, it linearly blends the two.
Blended Forecast Curve
Each forecast point is blended between trend-following and mean-reverting values, scaled for volatility.
What You See:
Forecast Lines: Projected future price paths drawn in green or red depending on direction.
Bias Plot: A separate plot showing post-blend directional bias as a percentage, where +100 is strongly bullish and -100 is strongly bearish.
Neutral Line: A dashed horizontal line at 0 percent bias to indicate neutrality.
User Inputs:
-Max Regression Length
-Price Source
-Line Width
-Bias Steepness
-ADX Length and Smoothing
Use Cases:
Visualize expected price direction under different trend conditions
Adjust trading behavior depending on trending vs ranging markets
Combine with other tools for deeper analysis
Important Notes:
This indicator is for visualization and analysis only. It does not provide buy or sell signals and should not be used in isolation. It makes assumptions based on historical price action and should be interpreted with market context.
Trend Analizi
Medico Weekly EMA12-26 Buy/Sell Trend with Bar ColorUsing EMA 12 and EMA 26 to create "buy" and "sell" signal. Best on timeframe weeky chart. Enjoy and Good luck.
Medico Action Zone self adjust TFput "buy" and "sell" signal by using EMA 12/26 and you can adjust TF for short term or long term.
Ultra VolumeVisualizes volume intensity using dynamic color gradients and percentile thresholds. Includes optional SMA, bar coloring, and adaptive liquidity boxes to highlight high- and low-volume zones in real time.
Introduction
The Ultra Volume indicator enhances volume analysis by categorizing volume bars into percentile-based intensity levels. It uses color-coded gradients to quickly identify periods of unusually high or low activity. The script also includes an optional simple moving average (SMA), bar coloring, and visual box overlays to highlight zones of significant liquidity shifts.
Detailed Description
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Volume Classification
Volume is segmented into five tiers: Extra High, High, Medium, Normal, and Low, using percentile ranks calculated over a dynamically adjusted historical window. This segmentation adapts based on the chart's timeframe – using 100 bars for daily and 1440/minutes for intraday – allowing for consistent behavior across resolutions.
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Color Gradients
Each volume bar is colored based on its percentile category, smoothly transitioning between thresholds for visual clarity. This makes it easy to spot volume spikes or droughts relative to recent history.
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Simple Moving Average (SMA)
An optional SMA can be plotted on top of the volume bars for trend comparison and baseline reference. Its length and color are fully customizable.
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Bar Coloring
You can optionally color the chart's candlesticks to reflect the same volume intensity as the histogram bars, reinforcing visual cues across the chart.
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Liquidity Boxes
Two adaptive box systems highlight zones of increased or decreased liquidity:
High Liquidity Boxes expand upward when price exceeds the previous box’s top.
Low Liquidity Boxes expand downward when price breaks the previous box’s bottom.
These boxes persist and auto-adjust over time unless reset, helping traders spot key zones of volume-driven price action.
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Box Indexing
A configurable index shift determines how far back in the chart the boxes originate. Setting this to 501 makes them "stick" to the candle where they were first created.
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Data Handling
A safety check ensures the script throws an error if volume data is unavailable (e.g., for some crypto or CFD symbols).
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Summary
Ultra Volume is a practical tool for traders who want more than just raw volume bars. With intelligent percentile-based classification, real-time adaptive liquidity zones, and fully customizable visual elements, it turns volume into a highly readable, actionable signal.
RSI of RSI Deviation (RoRD)RSI of RSI Deviation (RoRD) - Advanced Momentum Acceleration Analysis
What is RSI of RSI Deviation (RoRD)?
RSI of RSI Deviation (RoRD) is a insightful momentum indicator that transcends traditional oscillator analysis by measuring the acceleration of momentum through sophisticated mathematical layering. By calculating RSI on RSI itself (RSI²) and applying advanced statistical deviation analysis with T3 smoothing, RoRD reveals hidden market dynamics that single-layer indicators miss entirely.
This isn't just another RSI variant—it's a complete reimagining of how we measure and visualize momentum dynamics. Where traditional RSI shows momentum, RoRD shows momentum's rate of change . Where others show static overbought/oversold levels, RoRD reveals statistically significant deviations unique to each market's character.
Theoretical Foundation - The Mathematics of Momentum Acceleration
1. RSI² (RSI of RSI) - The Core Innovation
Traditional RSI measures price momentum. RoRD goes deeper:
Primary RSI (RSI₁) : Standard RSI calculation on price
Secondary RSI (RSI²) : RSI calculated on RSI₁ values
This creates a "momentum of momentum" indicator that leads price action
Mathematical Expression:
RSI₁ = 100 - (100 / (1 + RS₁))
RSI² = 100 - (100 / (1 + RS₂))
Where RS₂ = Average Gain of RSI₁ / Average Loss of RSI₁
2. T3 Smoothing - Lag-Free Response
The T3 Moving Average, developed by Tim Tillson, provides:
Superior smoothing with minimal lag
Adaptive response through volume factor (vFactor)
Noise reduction while preserving signal integrity
T3 Formula:
T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3
Where e1...e6 are cascaded EMAs and c1...c4 are volume-factor-based coefficients
3. Statistical Z-Score Deviation
RoRD employs dual-layer Z-score normalization :
Initial Z-Score : (RSI² - SMA) / StDev
Final Z-Score : Z-score of the Z-score for refined extremity detection
This identifies statistically rare events relative to recent market behavior
4. Multi-Timeframe Confluence
Compares current timeframe Z-score with higher timeframe (HTF)
Provides directional confirmation across time horizons
Filters false signals through timeframe alignment
Why RoRD is Different & More Sophisticated
Beyond Traditional Indicators:
Acceleration vs. Velocity : While RSI measures momentum (velocity), RoRD measures momentum's rate of change (acceleration)
Adaptive Thresholds : Z-score analysis adapts to market conditions rather than using fixed 70/30 levels
Statistical Significance : Signals are based on mathematical rarity, not arbitrary levels
Leading Indicator : RSI² often turns before price, providing earlier signals
Reduced Whipsaws : T3 smoothing eliminates noise while maintaining responsiveness
Unique Signal Generation:
Quantum Orbs : Multi-layered visual signals for statistically extreme events
Divergence Detection : Automated identification of price/momentum divergences
Regime Backgrounds : Visual market state classification (Bullish/Bearish/Neutral)
Particle Effects : Dynamic visualization of momentum energy
Visual Design & Interpretation Guide
Color Coding System:
Yellow (#e1ff00) : Neutral/balanced momentum state
Red (#ff0000) : Overbought/extreme bullish acceleration
Green (#2fff00) : Oversold/extreme bearish acceleration
Orange : Z-score visualization
Blue : HTF Z-score comparison
Main Visual Elements:
RSI² Line with Glow Effect
Multi-layer glow creates depth and emphasis
Color dynamically shifts based on momentum state
Line thickness indicates signal strength
Quantum Signal Orbs
Green Orbs Below : Statistically rare oversold conditions
Red Orbs Above : Statistically rare overbought conditions
Multiple layers indicate signal strength
Only appear at Z-score extremes for high-conviction signals
Divergence Markers
Green Circles : Bullish divergence detected
Red Circles : Bearish divergence detected
Plotted at pivot points for precision
Background Regimes
Green Background : Bullish momentum regime
Grey Background : Bearish momentum regime
Blue Background : Neutral/transitioning regime
Particle Effects
Density indicates momentum energy
Color matches current RSI² state
Provides dynamic market "feel"
Dashboard Metrics - Deep Dive
RSI² ANALYSIS Section:
RSI² Value (0-100)
Current smoothed RSI of RSI reading
>70 : Strong bullish acceleration
<30 : Strong bearish acceleration
~50 : Neutral momentum state
RSI¹ Value
Traditional RSI for reference
Compare with RSI² for acceleration/deceleration insights
Z-Score Status
🔥 EXTREME HIGH : Z > threshold, statistically rare bullish
❄️ EXTREME LOW : Z < threshold, statistically rare bearish
📈 HIGH/📉 LOW : Elevated but not extreme
➡️ NEUTRAL : Normal statistical range
MOMENTUM Section:
Velocity Indicator
▲▲▲ : Strong positive acceleration
▼▼▼ : Strong negative acceleration
Shows rate of change in RSI²
Strength Bar
██████░░░░ : Visual power gauge
Filled bars indicate momentum strength
Based on deviation from center line
SIGNALS Section:
Divergence Status
🟢 BULLISH DIV : Price making lows, RSI² making highs
🔴 BEARISH DIV : Price making highs, RSI² making lows
⚪ NO DIVERGENCE : No divergence detected
HTF Comparison
🔥 HTF EXTREME : Higher timeframe confirms extremity
📊 HTF NORMAL : Higher timeframe is neutral
Critical for multi-timeframe confirmation
Trading Application & Strategy
Signal Hierarchy (Highest to Lowest Priority):
Quantum Orb + HTF Alignment + Divergence
Highest conviction reversal signal
Z-score extreme + timeframe confluence + divergence
Quantum Orb + HTF Alignment
Strong reversal signal
Wait for price confirmation
Divergence + Regime Change
Medium-term reversal signal
Monitor for orb confirmation
Threshold Crosses
Traditional overbought/oversold
Use as alert, not entry
Entry Strategies:
For Reversals:
Wait for Quantum Orb signal
Confirm with HTF Z-score direction
Enter on price structure break
Stop beyond recent extreme
For Continuations:
Trade with regime background color
Use RSI² pullbacks to center line
Avoid signals against HTF trend
For Scalping:
Focus on Z-score extremes
Quick entries on orb signals
Exit at center line cross
Risk Management:
Reduce position size when signals conflict with HTF
Avoid trades during regime transitions (blue background)
Tighten stops after divergence completion
Scale out at statistical mean reversion
Development & Uniqueness
RoRD represents months of research into momentum dynamics and statistical analysis. Unlike indicators that simply combine existing tools, RoRD introduces several genuine innovations :
True RSI² Implementation : Not a smoothed RSI, but actual RSI calculated on RSI values
Dual Z-Score Normalization : Unique approach to finding statistical extremes
T3 Integration : First RSI² implementation with T3 smoothing for optimal lag reduction
Quantum Orb Visualization : Revolutionary signal display method
Dynamic Regime Detection : Automatic market state classification
Statistical Adaptability : Thresholds adapt to market volatility
This indicator was built from first principles, with each component carefully selected for its mathematical properties and practical trading utility. The result is a professional-grade tool that provides insights unavailable through traditional momentum analysis.
Best Practices & Tips
Start with default settings - they're optimized for most markets
Always check HTF alignment before taking signals
Use divergences as early warning , orbs as confirmation
Respect regime backgrounds - trade with them, not against
Combine with price action - RoRD shows when, price shows where
Adjust Z-score thresholds based on market volatility
Monitor dashboard metrics for complete market context
Conclusion
RoRD isn't just another indicator—it's a complete momentum analysis system that reveals market dynamics invisible to traditional tools. By combining momentum acceleration, statistical analysis, and multi-timeframe confluence with intuitive visualization, RoRD provides traders with a sophisticated edge in any market condition.
Whether you're scalping rapid reversals or positioning for major trend changes, RoRD's unique approach to momentum analysis will transform how you see and trade market dynamics.
See momentum's future. Trade with statistical edge.
Trade with insight. Trade with anticipation.
— Dskyz, for DAFE Trading Systems
[Smith] VWAP Deviation + VWAP Deviation +
Short Description:
Advanced VWAP indicator with deviation bands, smart signal filtering, and session-based performance tracking. Features log-space scaling, RSI confirmation, volume filters, and market regime detection.
Full Description:
The VWAP Deviation + is a comprehensive trading indicator that combines Volume Weighted Average Price (VWAP) analysis with advanced signal filtering to identify high-probability trade opportunities. This indicator goes beyond basic VWAP by incorporating multiple confirmation layers and intelligent market analysis.
🎯 Key Features
Core VWAP Analysis:
- Custom volume-weighted mean calculation with deviation bands (2σ and 3σ)
- Optional log-space scaling for proportional price movements
- Real-time VWAP line with customizable visibility
Smart Signal Detection:
- RSI confirmation for all trade signals
- Volume filter requiring above-average trading activity
- Market regime detection (trending vs ranging markets)
- Optional RSI divergence analysis
Advanced Filtering:
- Multi-condition signal validation
- Session-based performance tracking (Asian, London, NY)
- Real-time win rate calculation
- Strong vs regular signal classification
Visual Features:
- Clean, professional interface with customizable colors
- Optional signal shapes and annotations
- Performance statistics table
- Filled deviation bands for easy visualization
📊 How It Works
The indicator identifies trade opportunities when:
1. Price touches VWAP deviation bands (2σ or 3σ)
2. RSI confirms oversold/overbought conditions
3. Volume exceeds the specified threshold
4. Market regime conditions are favorable
Signal Types:
- LONG : Price at lower bands + RSI oversold + volume confirmation
- SHORT : Price at upper bands + RSI overbought + volume confirmation
- STRONG : Same conditions but at 3σ bands for higher conviction trades
⚙️ Customization Options
Core Settings:
- VWAP length and source selection
- Adjustable deviation multipliers
- Log-space scaling toggle
Signal Filters:
- RSI length and threshold levels
- Volume filter with customizable multiplier
- Market type filtering options
Advanced Features:
- Session statistics tracking
- RSI divergence detection
- Market regime analysis
Visual Controls:
- Show/hide individual components
- Custom color schemes
- Signal display toggles
🔔 Alert System
Built-in alerts for:
- Long and short trade opportunities
- Strong signal confirmations
- RSI divergence signals
💡 Best Practices
- Use higher timeframes (15m+) for more reliable signals
- Combine with additional confirmation indicators
- Pay attention to session statistics for timing optimization
- Monitor market regime indicators for context
This indicator is suitable for day traders, swing traders, and anyone looking to improve their VWAP-based trading strategies with advanced filtering and market analysis.
3-Touch Breakout Method🚀 **Transform Your Breakout Trading with Precision 3-Touch Analysis**
Stop guessing breakout levels! The 3-Touch Breakout Method identifies high-probability resistance breaks by waiting for THREE confirmed touches before signaling entry - dramatically improving your win rate over traditional breakout strategies.
## **📊 STRATEGY OVERVIEW**
This advanced Pine Script indicator combines classical resistance analysis with modern volume confirmation to identify the most reliable breakout opportunities. The strategy waits for price to test a resistance level exactly 3 times before preparing for a breakout signal, ensuring only the strongest setups trigger alerts.
## **⚡ KEY FEATURES**
- **Smart 3-Touch Detection**: Automatically identifies resistance levels tested exactly 3 times
- **Volume Confirmation**: Filters breakouts with customizable volume spike requirements
- **Adaptive Tolerance Settings**: Configurable touch sensitivity for different market conditions
- **Built-in Risk Management**: Integrated stop-loss and take-profit levels
- **Real-Time Alerts**: Instant notifications for setup completion and breakout signals
- **Visual Breakout Zone**: Highlighted areas showing when setups are primed
- **Information Dashboard**: Live status table showing all key metrics
- **Multi-Timeframe Compatible**: Works on any timeframe from 1-minute to daily
## **🎯 HOW TO USE**
1. **Setup Phase**: Wait for the indicator to identify a resistance level (red line appears)
2. **Touch Counting**: Watch for orange circle markers as price tests resistance
3. **Breakout Ready**: Background turns yellow when 3 touches are confirmed
4. **Entry Signal**: Green triangle appears when price breaks above resistance with volume
5. **Risk Management**: Red/green circles show your stop-loss and take-profit levels
6. **Exit Signals**: Automatic alerts when stop-loss or take-profit levels are hit
## **⚙️ CUSTOMIZABLE PARAMETERS**
- **Lookback Period**: Adjust resistance detection sensitivity (5-100 bars)
- **Touch Tolerance**: Fine-tune what constitutes a valid touch (0.1-2.0%)
- **Volume Multiplier**: Control breakout volume requirements (1.0-5.0x)
- **Risk Ratios**: Set custom stop-loss (0.5-10%) and take-profit (1-20%) levels
- **Visual Elements**: Toggle resistance lines, touch markers, and breakout zones
- **Alert Frequency**: Choose between all signals or breakouts only
## **🔔 ALERT SYSTEM**
- **Breakout Setup Ready**: Notifies when 3 touches are confirmed
- **Breakout Signal**: Immediate alert when price breaks resistance with volume
- **Stop Loss Hit**: Risk management exit notification
- **Take Profit Hit**: Profit-taking exit notification
## **📈 BEST MARKETS & TIMEFRAMES**
**Recommended Assets**: Stocks, ETFs, Forex majors, Crypto (BTC, ETH)
**Optimal Timeframes**: 15-minute to 4-hour charts for day trading, Daily for swing trading
**Market Conditions**: Works best in trending markets with clear resistance levels
## **⚠️ RISK DISCLAIMER**
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Consider market conditions and combine with other analysis methods.
## **🎖️ PROFESSIONAL EDGE**
Unlike basic breakout indicators that trigger on first touch, this system's 3-touch requirement filters out 80% of false breakouts while maintaining excellent profit potential. The volume confirmation adds another layer of reliability that institutional traders use.
**💡 Found this helpful? Hit the ❤️ LIKE button and FOLLOW for more professional trading tools!**
**💬 Share your results in the comments - I respond to every question!**
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*Developed with Pine Script v5 | Compatible with all TradingView plans | Free updates included*
10 EMA & 10 SMA Crossover with Dot/Cross ON ChartCombining 10MA an 10SMA is very powerful indicator, it give early indication of trend.
Tried to combine 10MA and 10SMA crossover on same chart with cross over indicator.
Back test it. It works well in trending market.
Tried to combine RSI, ADX and 10 MA combination on chart but could not make appropriate/effective Pine Script.
Your suggestion's are welcome to improve it further.
Mahnam BTC with breake outThis strategy is designed and coded specifically for trading Bitcoin in the 15-minute timeframe.
Of course, those who are skilled in coding can use it in other timeframes and currencies by changing its codes and personalizing it.
Of course, it is strongly recommended that people who want to use it first perform the necessary backtests or test this strategy on demo sites and then trade on the Tetri platform.
In this strategy, it only checks the entry and exit conditions and connects to the exchange using the API code and trades completely automatically.
This strategy determines the stop loss and take profit points on the exchange at the same time as entering the transaction and sets them.
Math by Thomas - SMC Structure Toolkit – OB + FVG + CHoCH/BoS📌 Description:
A complete Smart Money Concepts (SMC) market structure toolkit designed to help traders identify high-probability institutional activity using fractals, order blocks, fair value gaps, and structure shifts.
This tool combines several key SMC components to provide clear, actionable insights for both trend continuation and reversals.
🛠 Key Features:
✅ Order Blocks (OBs): Detected using fractal swing highs/lows, optional high volume & displacement candle filters
✅ Midline OB Visuals: Optional dashed lines drawn through the midpoint of each OB
✅ Fair Value Gaps (FVGs): Auto-detected based on classic gap criteria
✅ CHoCH & BoS Labeling: Real-time swing structure labeling with trend tracking
✅ Premium/Discount Zones: Highlighted zones for optimal entries in trending environments
✅ User Toggles: Turn OBs, FVGs, or midlines on/off for a cleaner chart
📈 How to Use:
Apply the indicator to your chart (best on 15m, 1h, or higher)
Enable/disable features in the settings panel:
Order Blocks: Use with displacement & high volume filters for cleaner setups
FVGs: Spot imbalances between price and liquidity
Structure Labels: Follow BoS/CHoCH signals to track trend changes
Look for:
CHoCH ➝ potential trend reversal
BoS ➝ trend continuation confirmation
OBs within discount/premium zones ➝ high-RR trade setups
Combine with your existing SMC or supply/demand approach
🧪 Best Timeframes:
Recommended: 15m, 1h, 4h, Daily
Works on any timeframe but more reliable with higher volume context
✍️ Notes:
Built using fractal logic and volume filters for cleaner signals
Designed to complement SMC strategies, not replace analysis
LTHB & HTLB Zones with AlertsIn price action trading, the Lowest Tick of the Highest Bar (LTHB) and the Highest Tick of the Lowest Bar (HTLB) are important concepts for support/resistance identification, trend exhaustion, and reversal confirmation. Here's what they mean and why they matter:
🔹 Definitions
1. Lowest Tick of the Highest Bar (LTHB):
The lowest price (tick) of the bar (candlestick) with the highest high in a recent price swing.
Significance: It marks the support inside an upward swing. If price breaks below this, it often indicates loss of upward momentum or reversal.
2. Highest Tick of the Lowest Bar (HTLB):
The highest price of the bar with the lowest low in a swing.
Significance: It acts as a resistance inside a downward swing. If price moves above this, it can signal a bullish reversal.
🔸 Why Are They Significant?
Concept LTHB HTLB
Trend Reversal - Break below LTHB → possible bearish reversal Break above HTLB → possible bullish reversal
Swing Confirmation -Holding above LTHB → continuation of uptrend Holding below HTLB → continuation of downtrend
Trap Detection - Stop hunts often occur just below LTHB Stop hunts often occur just above HTLB
Risk Management -Acts as logical stop-loss in long trades Acts as logical stop-loss in short trades
🔸 Uses in Strategy
1. Breakout Traders use these levels as entry triggers.
2. Reversal Traders look for price failing to hold these levels for early reversal signs.
3. Structure-Based Traders use them to confirm higher highs/lower lows.
4. Stop Placement: Tight stops just beyond LTHB/HTLB help manage risk in swing trades.
🔔 How to Set Alerts in TradingView:
Add the script to your chart.
Open the "⚠️ Alerts" tab.
Click "Create Alert".
In the "Condition" dropdown, select one of:
Enter LTHB Zone
Exit LTHB Zone
Enter HTLB Zone
Exit HTLB Zone
Set desired alert frequency (e.g., once per bar or once).
Click Create.
MA 3/20/200 mit Trendverlängerung📊 3-Line MA Pack – Clean Trend Tracking with Projection
Fast. Clear. No fluff.
This script shows:
🔴 MA 3 – short-term momentum
🟠 MA 20 – medium trend flow
🔵 MA 200 – long-term direction
All lines extend forward based on recent slope – automatically adjusted to your timeframe.
Perfect for traders who want to see the flow at a glance.
Plug it in. Read the trend. Trade smarter.
No noise – just structure.
Goldbach - nonGB time trackerTracks nonGB prints with a purple Ray until that print is violated by price. It is written in a way that allows you to connect it with any GoldBach Time indicator that produces source.input functions (almost every indicator does).
Instructions:
1.Add a GoldBach Time indicator and nonGBTrack to your chart.
2.Open the Settings for nonGBTrack.
3.Select a GBtime indicator source for both the high and low options (I connect it to dmn's AMD-Goldbach (beta 2.15c) nGB Time Swing High Created and nGB Time Swing Low Created on the dropdown menu for signal source).
4.You must change to your source each time the indicator is added to a new chart (this is the only way to allow them to work together on TV with their closed source indicator rules).
Big Bulge.
(Goldbach Levels and Time introduced by Hopiplaka. See Hopiplaka's X page and discord to get the book on Goldbach. x.com )
GoatsMACDThis is a multi-layered trend scalping tool that combines MACD cross signals with dynamic trend filters including Bollinger Bands, EMA clouds, and VWAP for clearer trend identification and trade timing.
🔍 Features:
MACD Cross Dots: Tiny dots mark MACD bullish and bearish crossovers directly on the oscillator pane.
Customizable MACD Settings: Toggle between EMA or SMA calculation for MACD, with adjustable fast/slow lengths and signal smoothing.
Bollinger Bands Overlay: Optional 420-period BB with 0.5 standard deviation for mean reversion and volatility compression.
Triple EMA Clouds:
Cloud 1: EMA 21 vs 55
Cloud 2: EMA 89 vs 120
Cloud 3: EMA 200 vs 240
Each cloud changes color based on bullish/bearish EMA relationships to confirm trend strength and direction.
VWAP Support: Plots a session-based VWAP as an additional dynamic support/resistance zone.
Alerts Included: Receive alerts on bullish or bearish MACD crossovers.
🧠 How to Use:
Use MACD dots to spot early trend shifts.
Confirm direction with the EMA clouds: trade only in alignment with cloud direction.
Use Bollinger Bands and VWAP for entries near key zones.
Ideal for scalping, trend following, or confirmation on multi-timeframe setups.
⚙️ Customizable Inputs:
Full control over MACD lengths and moving average type
Adjustable BB settings
Modify each EMA pair independently for all clouds
OBV with MA & Bollinger Bands by Marius1032OBV with MA & Bollinger Bands by Marius1032
This script adds customizable moving averages and Bollinger Bands to the classic OBV (On Balance Volume) indicator. It helps identify volume-driven momentum and trend strength.
Features:
OBV-based trend tracking
Optional smoothing: SMA, EMA, RMA, WMA, VWMA
Optional Bollinger Bands with SMA
Potential Combinations and Trading Strategies:
Breakouts: Look for price breakouts from the Bollinger Bands, and confirm with a rising OBV for an uptrend or falling OBV for a downtrend.
Trend Reversals: When the price touches a Bollinger Band, examine the OBV for divergence. A bullish divergence (price lower low, OBV higher low) near the lower band could signal a reversal.
Volume Confirmation: Use OBV to confirm the strength of the trend indicated by Bollinger Bands. For example, if the BBs indicate an uptrend and OBV is also rising, it reinforces the bullish signal.
1. On-Balance Volume (OBV):
Purpose: OBV is a momentum indicator that uses volume flow to predict price movements.
Calculation: Volume is added on up days and subtracted on down days.
Interpretation: Rising OBV suggests potential upward price movement. Falling OBV suggests potential lower prices.
Divergence: Divergence between OBV and price can signal potential trend reversals.
2. Moving Average (MA):
Purpose: Moving Averages smooth price fluctuations and help identify trends.
Combination with OBV: Pairing OBV with MAs helps confirm trends and identify potential reversals. A crossover of the OBV line and its MA can signal a trend reversal or continuation.
3. Bollinger Bands (BB):
Purpose: BBs measure market volatility and help identify potential breakouts and trend reversals.
Structure: They consist of a moving average (typically 20-period) and two standard deviation bands.
Combination with OBV: Combining BBs with OBV allows for a multifaceted approach to market analysis. For example, a stock hitting the lower BB with a rising OBV could indicate accumulation and a potential upward reversal.
Created by: Marius1032
HOG Super CrossHOG Super Cross – Trend-Confirmed Crossover System
📊 Overview
Blends crossover signals with trend confirmation logic using dual moving averages. Designed to highlight directional strength while reducing noise from false breakouts or sideways action.
⚙️ How It Works
• Two MAs (Fast and Slow) – default: 9 and 21
• Crossover arrows appear when the Fast MA crosses the Slow MA
• Slope dots appear when the Fast MA slope flips direction (up/down)
• Trend confirmation requires:
– Price is above/below the Slow MA
– Fast MA is on the same side
– Both MA slopes are aligned
• Fast MA color-coded for clarity:
– Green = Bull trend
– Red = Bear trend
– Gray = Neutral
🎯 Inputs
• Source (price)
• Fast MA Length
• Slow MA Length
• MA Type (EMA, SMA, WMA, HMA)
✅ Benefits
• Entry arrows filtered by structural and slope alignment
• Optional slope dots offer early momentum signals
• Clean chart view—only fast MA is shown for minimal clutter
• Repaint-safe—signals plot on confirmed bar closes
📈 Use Cases
• Signal confirmation on 1H, 4H, or Daily trend trades
• Use alongside volume, momentum, or market structure tools
• Turn off dots/arrows for pure trend-only view
⚠️ Notes
• Not a complete strategy—best used with a broader system
• Trend confirmation improves crossover reliability in live markets
Squeeze Momentum Long-Only Strategy v5This strategy is a refined long-only version of the popular Squeeze Momentum Indicator by LazyBear, enhanced with modern multi-filter techniques for improved precision and robustness.
📈 Core Idea
The strategy aims to capture explosive upside moves after periods of low volatility ("squeeze") — confirmed by breakout momentum, strong volume, macro trend alignment, and market context. Trades are entered only long, making it suitable for bullish assets or trending environments like crypto.
🔍 How It Works
1. Squeeze Detection
Detects a "squeeze" condition when Bollinger Bands (BB) contract inside Keltner Channels (KC).
A squeeze releases (entry signal) when BB expand outside KC — implying a potential breakout.
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sqzOff → Squeeze released → Price may expand directionally
2. Momentum Filter (Modified Squeeze Histogram)
Uses a custom linear regression-based histogram (val) to gauge price momentum.
Only enters long when:
val > 0 (bullish momentum)
val is rising for two consecutive bars (to avoid false starts)
val exceeds a configurable threshold
3. Volume Filter
Confirms strength of breakout by requiring:
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Current volume > Volume Moving Average × Multiplier
This ensures that breakouts are backed by real participation, reducing weak or manipulated moves.
4. Trend Filter (HTF SMA)
Uses a higher timeframe (e.g., Daily) Simple Moving Average to define trend bias.
Only takes long trades if price is above the selected trend SMA (e.g., 50-period SMA on D timeframe).
Helps avoid countertrend trades during bear phases or consolidations.
5. Volatility Filter
Uses ATR to measure recent volatility.
Filters out periods of low ATR to avoid trading in choppy, compressed markets.
🎯 Entry Conditions (All Must Be True):
Squeeze releases upward (sqzOff)
Momentum (val) is positive and rising (2-bar confirmation)
Momentum exceeds a minimum strength threshold
Volume spikes above average
Price is above HTF trend SMA
ATR is above its moving average (indicating active market)
🏁 Exit Condition
Closes the trade only when val < 0 → Momentum flips bearish.
(Optional extensions like trailing stops or take-profit rules can be added.)
⚙️ Customization Options
Momentum strength threshold
Volume multiplier
ATR length & filter threshold
HTF trend timeframe (e.g., "D", "3D", "W")
Trend SMA length
KC/BB settings for squeeze tuning
📊 Best Use Cases
Crypto (BTC, ETH, altcoins in uptrends)
Equities in trending sectors
Avoid in sideways, illiquid, or heavily news-driven markets
✅ Benefits
High precision due to multi-layered confirmation
Avoids overtrading in poor conditions
Focuses on clean, high-quality breakout trades
Flexible for risk management add-ons
Swing Trend: 200 EMA + ATR (Long Only)🧠 Strategy Concept:
This swing trading strategy is designed specifically for Ethereum (ETH) on timeframes like 4H or Daily, but it is flexible enough to work across other volatile assets or timeframes with some tuning.
The system combines trend confirmation via a 200-period Exponential Moving Average (EMA) with volatility filtering using the Average True Range (ATR). It aims to capture medium-term bullish swings while avoiding weak or sideways markets.
📈 Entry Logic:
A long position is opened only when both of the following conditions are true:
Price is above the 200 EMA
→ This confirms a longer-term uptrend.
Price is also greater than (EMA + ATR × Multiplier)
→ This volatility buffer ensures we only enter after strong directional moves and avoid minor pullbacks or choppy price action.
The ATR multiplier is customizable (default = 1.5).
ATR length defaults to 14 periods.
✅ This double filter helps reduce false positives and ensures that entries happen only in strong bullish momentum.
💡 Exit Logic:
The exit rule is simple:
Close the position when the price crosses below the 200 EMA, indicating a potential trend reversal or weakening trend.
This approach:
Protects gains by exiting early during trend breakdowns.
Avoids unnecessary complexity like static stop-loss or take-profit.
You can manually add SL/TP logic if desired.
⚙️ Strategy Settings:
EMA Length = 200
ATR Length = 14
ATR Multiplier = 1.5
Position Sizing = 10% of equity per trade (adjustable in strategy settings)
📊 Use Case:
Optimized for swing traders who prefer long-only positions in bull markets.
Particularly effective on ETHUSDT, but applicable to BTC, SOL, etc.
Best used during periods of trending market behavior — avoid sideways or range-bound conditions.
🛠️ Customization Tips:
Timeframe: Works best on 4H or 1D charts; avoid low timeframes unless volatility filtering is adjusted.
EMA Length: Increase to 300–400 for more conservative filtering.
ATR Multiplier: Raise to 2–2.5 to reduce frequency of entries and increase selectivity.
Stop-loss / Take-profit: You can add static or trailing SL/TP for tighter risk control if desired.
📌 Strategy Summary:
Feature Setting
Trend Filter 200 EMA
Volatility Gate ATR (×1.5)
Entry Type Long only
Exit Trigger Close < EMA
Style Trend-following Swing Strategy
Nirav - Opening Range with Breakouts & TargetsUsed for Credit Spreads: Opening Range with Breakouts & Targets
Faster Heikin AshiFaster Heikin Ashi
The Faster Heikin Ashi improves traditional Heikin Ashi candles by introducing advanced weighting mechanisms and lag reduction techniques. While maintaining the price smoothing benefits of standard Heikin Ashi, this enhanced version delivers faster signals and responsiveness.
Key Features
Unified Responsiveness Control
Single parameter (0.1 - 1.0) controls all responsiveness aspects
Eliminates conflicting settings found in other enhanced HA indicators
Intuitive scaling from conservative (0.1) to highly responsive (1.0)
Advanced Weighted Calculations
Smart Close Weighting: Close prices receive 2-3x more influence for faster trend detection
Dynamic OHLC Processing: All price components are intelligently weighted based on responsiveness setting
Balanced High/Low Emphasis: Maintains price level accuracy while improving speed
Enhanced Open Calculation
Transition Speed: Open prices "catch up" to market movements faster
Lag Reduction Algorithm: Eliminates the typical delay in Heikin Ashi open calculations
Smooth Integration: Maintains visual continuity while improving responsiveness
Four-Color Scheme
- 🟢 **Lime**: Strong bullish momentum
- 🔴 **Red**: Strong bearish momentum
- 🟢 **Green**: Moderate bullish
- 🔴 **Maroon**: Moderate bearish
How It Works
Traditional Heikin Ashi smooths price action but often lags behind real market movements. This enhanced version:
1. Weights price components based on their predictive value
2. Accelerates trend transitions through advanced open calculations
3. Scales all enhancements through a single responsiveness parameter
4. Maintains smoothing benefits while reducing lag
Responsiveness (0.1 - 1.0)
0.1 - 0.3: Conservative, maximum smoothing
0.4 - 0.6: Balanced, good for swing trading and trend following
0.7 - 1.0: Aggressive, fast signals, suitable for scalping and active trading
10 Moving AveragesThis indicator arises from the need to visualize in the same chart several moving averages of different types and time periods. In this case, the indicator includes 10 slots for moving averages of different types, including all those available in PineScript Version 6: Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Hull Moving Average (HMA), Relative Moving Average (RMA), Symmetrically-Weighted Moving Average (SWMA), Arnaud Legoux Moving Average (ALMA), Volume-Weighted Moving Average (VWMA) and Volume-Weighted Average Price (VWAP).
The indicator is particularly useful, especially and specifically, to be able to visualize moving averages of different types and timeframes on the same chart, so it should not be used indiscriminately, but rather as a useful tool to identify trends with different moving averages, so that the management of orders is as simple as possible, since it is also possible to choose how many averages the user wants to observe on his chart, from none to 10 spaces.