Anchored VWAP + Bands + Signals//@version=5
indicator("Anchored VWAP + Bands + Signals", overlay=true)
// ===== INPUTS =====
anchorTime = input.time(timestamp("2025-12-02 00:00"), "Anchor Date/Time")
std1 = input.float(1.0, "±1σ Band")
std2 = input.float(2.0, "±2σ Band")
// ===== VWAP CALCULATION =====
var float cumPV = 0.0
var float cumVol = 0.0
if time >= anchorTime
cumPV += close * volume
cumVol += volume
vwap = cumVol != 0 ? cumPV / cumVol : na
// ===== STANDARD DEVIATION =====
barsSinceAnchor = bar_index - ta.valuewhen(time >= anchorTime, bar_index, 0)
sd = barsSinceAnchor > 1 ? ta.stdev(close, barsSinceAnchor) : 0
// ===== BANDS =====
upper1 = vwap + std1 * sd
lower1 = vwap - std1 * sd
upper2 = vwap + std2 * sd
lower2 = vwap - std2 * sd
plot(vwap, color=color.orange, title="VWAP")
plot(upper1, color=color.green, title="+1σ Band")
plot(lower1, color=color.green, title="-1σ Band")
plot(upper2, color=color.red, title="+2σ Band")
plot(lower2, color=color.red, title="-2σ Band")
// ===== SIGNALS =====
buySignal = ta.crossover(close, lower1)
sellSignal = ta.crossunder(close, upper1)
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(sellSignal, style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
alertcondition(buySignal, title="Buy Alert", message="Price touched lower 1σ band – Buy Opportunity")
alertcondition(sellSignal, title="Sell Alert", message="Price touched upper 1σ band – Sell Opportunity")
Search in scripts for "12月4号是什么星座"
MACD Ultimate MTF [Radisa] MACD Ultimate MTF - Enhanced MACD with Beautiful Fills
Based on the legendary CM_MacD_Ult_MTF by ChrisMoody - upgraded to Pine Script v5 with beautiful gradient fills and an informative dashboard.
🎯 FEATURES:
- Multi-timeframe support (MTF) - view higher timeframe MACD on any chart
- Beautiful fill between MACD & Signal line
- 4-color histogram (strong/weak bull & bear)
- Smooth lines on current timeframe (no stepping)
- Cross signals with dot markers
- Real-time info dashboard
- Fully customizable colors
📊 SIGNALS:
- 🟢 Bullish Cross: MACD crosses above Signal
- 🔴 Bearish Cross: MACD crosses below Signal
- Histogram color intensity shows momentum strength
📈 HISTOGRAM COLORS:
- Bright Green: Above zero + rising (strong bullish)
- Dark Green: Above zero + falling (weakening bullish)
- Bright Red: Below zero + falling (strong bearish)
- Dark Red: Below zero + rising (weakening bearish)
⚙️ SETTINGS:
- Fast/Slow/Signal Length (default: 12/26/9)
- Use current or custom timeframe
- Toggle MACD line, Signal line, Histogram
- Toggle fills and color changes
- Customizable colors for all elements
💡 DASHBOARD SHOWS:
- MACD value with colored background
- Signal value
- Histogram value
- Trend direction (Bullish/Bearish)
- Momentum strength (Strong/Fading)
- Current timeframe
Perfect for trend-following strategies. Combine with RSI or Supertrend for confirmation.
Works on Crypto, Forex, Stocks - all timeframes.
Weighted KDE Mode🙏🏻 The ‘ultimate’ typical value estimator, for the highest computational cost @ time complexity O(n^2). I am not afraid to say: this is the last resort BFG9000 you can ‘ever’ get to make dem market demons kneel before y’all
Quickguide
pls read it, you won’t find it anywhere else in open access
When to use:
If current market activity is so crazy || things on your charts are really so bad (contaminated data && (data has very heavy tails || very pronounced peak)), the only option left is to use the peak (mode) of Kernel Density Estimate , instead of median not even mentioning mean. So when WMA won’t help, when WPNR won’t help, you need this thing.
Setting it up:
Interval: choose what u need, you can use usual moving windows, but I also added yearly and session anchors alike in old VWAP (always prefer 24h instead of Session if your plan allows). Other options like cumulative window are also there.
Parameters: this script ain't no joke, it needs time to make calculations, so I added a setting to calculate only for the last N bars (when “starting at bar N” is put on 0). If it’s not zero it acts as a starting point after which the calculations happen (useful for backtesting). Other parameters keep em as they are, keep student5 kernel , turn off appropriate weights if u apply it to other than chart data, on other studies etc.
But instead of listening to me just experiment with parameters and see what they change, would take 5 mins max
Been always saying that VWAP is ish, not time-aware etc, volume info is incorporated in a lil bit wrong way… So I decided not just to fix VWAP (you can do it yourself in 5 mins), but instead to drop there the Ultimate xD typical value estimator that is ever possible to do. Time aware, volume / inferred volume aware, resistant to all kinds of BS. This is your shieldwall.
How it works:
You can easily do a weighted kernel density estimation, in our case including temporal and intensity information while accumulating densities. Here are some details worth mentioning about the thing:
Kernels are raw (not unit variance), that’s easier to work with later.
h_constants for each kernel were calculated ^^ given that ^^ with python mpmath module with high decimal precision.
In bandwidth calculation instead of using empirical standard deviation as a scaler, I use... ta.range(src, len) / math.sqrt(12)
...that takes data range and converts it to standard deviation, assuming data is uniformly distributed. That’s exactly what we need: a scaler that is coherent with the KDE, that has nothing to do with stdevs, as the kernels except for gaussian ones (that we don’t even need to use). More importantly, if u take multiple windows and see over time which distro they approach on the long term, that would be the uniform one (not the normal one as many think). Sometimes windows are multimodal, sometimes Laplace like etc, so in general all together they are uniform ish.
The one and only kernel you really need is Student t with v = 5 , for the use case I highlighted in the first part of the post for TV users. It’s as far as u can get until ish becomes crazy like undefined variance etc. It has the highest kurtosis = 9 of all distros, perfect for the real use case I mentioned. Otherwise, you don’t even need KDE 4 real, but still I included other senseful kernels for comparison or in case I am trippin there.
Btw, don’t believe in all that hype about Epanechnikov kernel which in essence is made from beta distribution with alpha = beta = 2, idk why folk call it with that weird name, it’s beta2 kernel. Yes on papers it really minimises AMISE (that’s how I calculated h constants for all dem kernels in the script), but for really crazy data (proper use case for us), it ain't provides even ‘closely’ compared with student5 kernel. Not much else to add.
Shout out to @RicardoSantos for inspiration, I saw your KDE script a long time ago brotha, finna got my hands on it.
∞
Dashboard AIO Pro: RSI, MACD & Stoch RSI [THF]Description:
This indicator provides a comprehensive "All-in-One" Dashboard that monitors three major momentum oscillators: RSI, MACD, and Stochastic RSI. It displays their real-time values and interprets their signals (Buy/Sell/Neutral) in a clean, customizable table directly on your chart.
Key Features:
Consolidated View: Instead of cluttering your chart with three separate indicator panes, this dashboard summarizes the market state in one compact table.
Dynamic Summary: The script calculates an "Overall Trend" based on a voting system. If 2 or more indicators agree on a direction, the summary updates to show a "Strong Trend".
Fully Customizable Colors: Users can customize the colors for Strong Buy, Buy, Sell, Strong Sell, and Neutral states via the settings menu to match their chart theme.
Alerts Included: Built-in alert conditions for "Strong Buy Consensus" and "Strong Sell Consensus".
How it Works (The Logic):
RSI (14):
Value > 70: Considered Overbought (Bearish signal).
Value < 30: Considered Oversold (Bullish signal).
MACD (12, 26, 9):
Bullish: MACD Line > Signal Line AND Histogram is rising.
Bearish: MACD Line < Signal Line AND Histogram is falling.
Stoch RSI (14, 14, 3, 3):
Evaluates K% line position relative to 80/20 levels and crossovers with D% line.
Overall Summary:
The script assigns a score (+1 for Bullish, 0 for Neutral).
If the total score >= 2, the trend is identified as "Uptrend".
If the indicators show divergent signals, the status remains "Ranging".
Settings:
You can change the length of all indicators (RSI, MACD, Stoch).
You can change the table position and text size.
Color Customization: Dedicated section to change the dashboard colors.
Wyckoff + VSA Ultimate - Complete Market Analysis
**Wyckoff + VSA Ultimate** combines three proven methodologies into one powerful indicator:
🔷 **Wyckoff Method** - Identifies market accumulation and distribution phases
🔷 **Volume Spread Analysis** - Confirms moves with volume and price spread
🔷 **Random Walk Index** - Validates trend strength and direction
**MAIN SIGNALS:**
📊 **Wyckoff Signals** (Green = Bullish, Red = Bearish)
• SC (Selling Climax) - Major buying opportunity
• BC (Buying Climax) - Major selling opportunity
• AR (Automatic Rally) - Confirms accumulation
• DAR (Automatic Reaction) - Confirms distribution
• ST (Secondary Test) - Final test before move
📊 **VSA Patterns**
• Upthrust bars (weakness after rally)
• Reverse upthrust (strength after decline)
• No demand/supply bars
• Stopping volume
• Effort failures
**KEY FEATURES:**
✅ Multiple signal confirmation reduces false signals
✅ Real-time info table shows phase, volume, trends
✅ Dynamic stop loss levels calculated automatically
✅ Accumulation/Distribution boxes on chart
✅ Customizable filters for your trading style
✅ 12 alert conditions for all major signals
**HOW TO USE:**
For Swing Trading (4H/Daily):
1. Enable "Require VSA Confirmation"
2. Wait for SC or BC signals
3. Use displayed stop levels
4. Target next opposite phase
For Day Trading (15m/1H):
1. Enable "Require Trend Confirmation"
2. Trade only trend-aligned signals
3. Increase volume threshold to 1.5
4. Use tighter risk management
**BEST FOR:**
✅ Stocks (high volume)
✅ Forex majors
✅ Crypto (BTC, ETH)
✅ Index futures
**SETTINGS:**
Customize everything:
• RSI & Pivot parameters
• Volume & Spread analysis
• Trend periods (RWI)
• Signal filters
• Visual display options
**ALERTS:**
Pre-configured alerts for:
• All Wyckoff signals
• VSA reversals
• Strong buy/sell combinations
**Credits:** Integrates Wyckoff (faytterro) and VSA (theehoganator) methods.
**Disclaimer:** Educational purposes only. Use proper risk management. Past performance doesn't guarantee future results.
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Pine Script™ v6
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Viprasol Elite Advanced Pattern Scanner# 🚀 Viprasol Elite Advanced Pattern Scanner
## Overview
The **Viprasol Elite Advanced Pattern Scanner** is a sophisticated technical analysis tool designed to identify high-probability double bottom (DISCOUNT) and double top (PREMIUM) patterns with unprecedented accuracy. Unlike basic pattern detectors, this elite scanner employs an AI-powered quality scoring system to filter out false signals and highlight only the most reliable trading opportunities.
## 🎯 Key Features
### Advanced Pattern Detection
- **DISCOUNT Patterns** (Double Bottoms): Identifies bullish reversal zones where price may bounce
- **PREMIUM Patterns** (Double Tops): Detects bearish reversal zones where price may decline
- Multi-point validation system (5-point structure)
- Symmetry analysis with customizable tolerance
### 🤖 AI Quality Scoring System
Each pattern receives a quality score (0-100) based on:
- **Symmetry Analysis** (32% weight): How closely the two bottoms/tops match
- **Trend Context** (22% weight): Strength of the preceding trend using ADX
- **Volume Profile** (22% weight): Volume confirmation at key points
- **Pattern Depth** (16% weight): Significance of the pattern's price range
- **Structure Quality** (16% weight): Overall pattern formation quality
Quality Grades:
- ⭐ **ELITE** (88-100): Highest probability setups
- ✨ **VERY STRONG** (77-87): Strong trade opportunities
- ✓ **STRONG** (67-76): Valid patterns with good potential
- ○ **VALID** (65-66): Acceptable patterns meeting minimum criteria
### 🎯 Intelligent Target System
Three target modes per pattern direction:
- **Conservative**: 0.618 Fibonacci extension (safer, closer targets)
- **Balanced**: 1.0 extension (moderate risk/reward)
- **Aggressive**: 1.618 extension (higher risk/reward)
Targets automatically adjust based on pattern quality score.
### 🔧 Advanced Filtering Options
- **Volatility Filter (ATR)**: Excludes patterns during extreme volatility
- **Momentum Filter (ADX)**: Ensures sufficient trend strength
- **Liquidity Filter (Volume)**: Confirms adequate trading volume
### 📊 Pattern Lifecycle Management
- Real-time neckline tracking with extension multiplier
- Pattern invalidation after extended wait period
- Breakout/breakdown confirmation
- Reversal detection (pattern failure scenarios)
- Target achievement tracking
### 🌈 Premium Visual System
- Color-coded quality levels
- Cyber-themed color scheme (Neon Green/Hot Pink/Purple/Cyan)
- Transparent fills for pattern zones
- Dynamic labels with pattern information
- Elite dashboard showing live pattern stats
## 📈 How To Use
### Basic Setup
1. Add indicator to your chart
2. Enable desired patterns (DISCOUNT and/or PREMIUM)
3. Adjust quality threshold (default: 65) - higher = fewer but better signals
4. Set your preferred target mode
### Trading DISCOUNT Patterns (Bullish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakout above neckline (point 5)
4. Stop loss below the lowest bottom
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break below bottoms = SHORT signal)
### Trading PREMIUM Patterns (Bearish)
1. Wait for pattern detection (labeled points 1-4)
2. Check quality score on dashboard
3. Entry on breakdown below neckline (point 5)
4. Stop loss above the highest top
5. Target shown automatically based on your mode
6. ⚠️ Watch for pattern failure (break above tops = LONG signal)
## ⚙️ Input Settings Guide
### 🔍 Detection Engine
- **Left/Right Pivots**: Higher = fewer but cleaner patterns (default: 6/4)
- **Min Pattern Width**: Minimum bars between bottoms/tops (default: 12)
- **Symmetry Tolerance**: Max % difference allowed between levels (default: 1.8%)
- **Extension Multiplier**: How long to wait for breakout (default: 2.2x pattern width)
### ⭐ Quality AI
- **Min Quality Score**: Only show patterns above this score (default: 65)
- **Weight Distribution**: Customize what matters most (symmetry/trend/volume/depth/structure)
### 🔧 Filters
- **Volatility Filter**: Avoid choppy markets (recommended: ON)
- **Momentum Filter**: Ensure trend strength (recommended: ON)
- **Liquidity Filter**: Volume confirmation (recommended: ON)
### 💎 Target System
- Choose target aggression for each pattern type and direction
- Higher quality patterns get adjusted targets automatically
## 🎨 Visual Customization
- Adjust colors for DISCOUNT/PREMIUM patterns
- Set quality-based color coding
- Customize label sizes
- Toggle dashboard visibility and position
- Show/hide historical patterns
## 🚨 Alert System
Set up TradingView alerts for:
- 🚀 **LONG Signals**: DISCOUNT breakout, PREMIUM failure
- 📉 **SHORT Signals**: PREMIUM breakdown, DISCOUNT failure
- ✅ **Target Achievement**: When price hits your target
## 💡 Pro Tips
1. **Higher Timeframes = Better Signals**: Patterns on 4H, Daily, Weekly are more reliable
2. **Quality Over Quantity**: Focus on ELITE and VERY STRONG grades
3. **Combine with Trend**: DISCOUNT in uptrend, PREMIUM in downtrend = best results
4. **Watch Pattern Failures**: Failed patterns often provide strong counter-trend signals
5. **Adjust for Your Style**: Intraday traders use Conservative, swing traders use Aggressive
## 🔒 Pattern Invalidation
Patterns become invalid if:
- No breakout/breakdown within extension period
- Support/resistance levels are broken prematurely
- Pattern shown in faded colors = no longer active
## ⚠️ Risk Disclaimer
This indicator is a tool for technical analysis and does not guarantee profitable trades. Always:
- Use proper risk management
- Combine with other analysis methods
- Never risk more than you can afford to lose
- Past performance does not indicate future results
Relative Strength Heatmap [BackQuant]Relative Strength Heatmap
A multi-horizon RSI matrix that compresses 20 different lookbacks into a single panel, turning raw momentum into a visual “pressure gauge” for overbought and oversold clustering, trend exhaustion, and breadth of participation across time horizons.
What this is
This indicator builds a strip-style heatmap of 20 RSIs, each with a different length, and stacks them vertically as colored tiles in a single pane. Every tile is colored by its RSI value using your chosen palette, so you can see at a glance:
How many “fast” versus “slow” RSIs are overbought or oversold.
Whether momentum is concentrated in the short lookbacks or spread across the whole curve.
When momentum extremes cluster, signalling strong market pressure or exhaustion.
On top of the tiles, the script plots two simple breadth lines:
A white line that counts how many RSIs are above 70 (overbought cluster).
A black line that counts how many RSIs are below 30 (oversold cluster).
This turns a single symbol’s RSI ladder into a compact “market pressure gauge” that shows not only whether RSI is overbought or oversold, but how many different horizons agree at the same time.
Core idea
A single RSI looks at one length and one timescale. Markets, however, are driven by flows that operate on multiple horizons at once. By computing RSI over a ladder of lengths, you approximate a “term structure” of strength:
Short lengths react to immediate swings and very recent impulses.
Medium lengths reflect swing behaviour and local trends.
Long lengths reflect structural bias and higher timeframe regime.
When many lengths agree, for example 10 or more RSIs all above 70, it suggests broad participation and strong directional pressure. When only a few fast lengths stretch to extremes while longer ones stay neutral, the move is more fragile and more likely to mean-revert.
This script makes that structure visible as a heatmap instead of forcing you to run many separate RSI panes.
How it works
1) Generating RSI lengths
You control three parameters in the calculation settings:
RS Period – the base RSI length used for the shortest strip.
RSI Step – the amount added to each successive RSI length.
RSI Multiplier – a global scaling factor applied after the step.
Each of the 20 RSIs uses:
RSI length = round((base_length + step × index) × multiplier) , where the index goes from 0 to 19.
That means:
RSI 1 uses (len + step × 0) × mult.
RSI 2 uses (len + step × 1) × mult.
…
RSI 20 uses (len + step × 19) × mult.
You can keep the ladder dense (small step and multiplier) or stretch it across much longer horizons.
2) Heatmap layout and grouping
Each RSI is plotted as an “area” strip at a fixed vertical level using histbase to stack them:
RSI 1–5 form Group 1.
RSI 6–10 form Group 2.
RSI 11–15 form Group 3.
RSI 16–20 form Group 4.
Each group has a toggle:
Show only Group 1 and 2 if you care mainly about fast and medium horizons.
Show all groups for a full spectrum from very short to very long.
Hide any group that feels redundant for your workflow.
The actual numeric RSI values are not plotted as lines. Instead, each strip is drawn as a horizontal band whose fill color represents the current RSI regime.
3) Palette-based coloring
Each tile’s color is driven by the RSI value and your chosen palette. The script includes several palettes:
Viridis – smooth green to yellow, good for subtle reading.
Jet – strong blue to red sequence with high contrast.
Plasma – purple through orange to yellow.
Custom Heat – cool blues to neutral grey to hot reds.
Gray – grayscale from white to black for minimalistic layouts.
Cividis, Inferno, Magma, Turbo, Rainbow – additional scientific and rainbow-style maps.
Internally, RSI values are bucketed into ranges (for example, below 10, 10–20, …, 90–100). Each bucket maps to a unique colour for that palette. In all schemes, low RSI values are mapped to the “cold” or darker side and high RSI values to the “hot” or brighter side.
The result is a true momentum heatmap:
Cold or dark tiles show low RSI and oversold or compressed conditions.
Mid tones show neutral or mid-range RSI.
Warm or bright tiles show high RSI and overbought or stretched conditions.
4) Bull and bear breadth counts
All 20 RSI values are collected into an array each bar. Two counters are then calculated:
Bull count – how many RSIs are above 70.
Bear count – how many RSIs are below 30.
These are plotted as:
A white line (“RSI > 70 Count”) for the overbought cluster.
A black line (“RSI < 30 Count”) for the oversold cluster.
If you enable the “Show Bull and Bear Count” option, you get an immediate reading of how many of the 20 horizons are stretched at any moment.
5) Cluster alerts and background tagging
Two alert conditions monitor “strong cluster” regimes:
RSI Heatmap Strong Bull – triggers when at least 10 RSIs are above 70.
RSI Heatmap Strong Bear – triggers when at least 10 RSIs are below 30.
When one of these conditions is true, the indicator can tint the background of the chart using a soft version of the current palette. This visually marks stretches where momentum is extreme across many lengths at once, not just on a single RSI.
What it plots
In one oscillator window, the indicator provides:
Up to 20 horizontal RSI strips, each representing a different RSI length.
Color-coded tiles reflecting the current RSI value for each length.
Group toggles to show or hide each block of five RSIs.
An optional white line that counts how many RSIs are above 70.
An optional black line that counts how many RSIs are below 30.
Optional background highlights when the number of overbought or oversold RSIs passes the strong-cluster threshold.
How it measures breadth and pressure
Single-symbol breadth
Breadth is usually defined across a basket of symbols, such as how many stocks advance versus decline. This indicator uses the same concept across time horizons for a single symbol. The question becomes:
“How many different RSI lengths are stretched in the same direction at once?”
Examples:
If only 2 or 3 of the shortest RSIs are above 70, bull count stays low. The move is fast and local, but not yet broadly supported.
If 12 or more RSIs across short, medium and long lengths are above 70, the bull count spikes. The move has broad momentum and strong upside pressure.
If 10 or more RSIs are below 30, bear count spikes and you are in a broad oversold regime.
This is breadth of momentum within one market.
Market pressure gauge
The combination of heatmap tiles and breadth lines acts as a pressure gauge:
High bull count with warm colors across most strips indicates strong upside pressure and crowded long positioning.
High bear count with cold colors across most strips indicates strong downside pressure and capitulation or forced selling.
Low counts with a mixed heatmap indicate neutral pressure, fragmented flows, or range-bound conditions.
You can treat the strong-cluster alerts as “extreme pressure” signals. When they fire, the market is heavily skewed in one direction across many horizons.
How to read the heatmap
Horizontal patterns (through time)
Look along the time axis and watch how the colors evolve:
Persistent hot tiles across many strips show sustained bullish pressure and trend strength.
Persistent cold tiles across many strips show sustained bearish pressure and weak demand.
Frequent flipping between hot and cold colours indicates a choppy or mean-reverting environment.
Vertical structure (across lengths at one bar)
Focus on a single bar and read the column of tiles from top to bottom:
Short RSIs hot, long RSIs neutral or cool: early trend or short-term fomo. Price has moved fast, longer horizons have not caught up.
Short and long RSIs all hot: mature, entrenched uptrend. Broad participation, high pressure, greater risk of blow-off or late-entry vulnerability.
Short RSIs cold but long RSIs mid to high: pullback in a higher timeframe uptrend. Dip-buy and continuation setups are often found here.
Short RSIs high but long RSIs low: countertrend rallies within a broader downtrend. Good hunting ground for fades and short entries after a bounce.
Bull and bear breadth lines
Use the two lines as simple, numeric breadth indicators:
A rising white line shows more RSIs pushing above 70, so bullish pressure is expanding in breadth.
A rising black line shows more RSIs pushing below 30, so bearish pressure is expanding in breadth.
When both lines are low and flat, few horizons are extreme and the market is in mid-range territory.
Cluster zones
When either count crosses the strong threshold (for example 10 out of 20 RSIs in extreme territory):
A strong bull cluster marks a broadly overbought regime. Trend followers may see this as confirmation. Mean-reversion traders may see it as a late-stage or blow-off context.
A strong bear cluster marks a broadly oversold regime. Downtrend traders see strong pressure, but the risk of sharp short-covering bounces also increases.
Trading applications
Trend confirmation
Use the heatmap and breadth lines as a trend filter:
Prefer long setups when the heatmap shows mostly mid to high RSIs and the bull count is rising.
Avoid fresh shorts when there is a strong bull cluster, unless you are specifically trading exhaustion.
Prefer short setups when the heatmap is mostly low RSIs and the bear count is rising.
Avoid aggressive longs when a strong bear cluster is active, unless you are trading reflexive bounces.
Mean-reversion timing
Treat cluster extremes as exhaustion zones:
Look for reversal patterns, failed breakouts, or order flow shifts when bull count is very high and price starts to stall or diverge.
Look for reflexive bounce potential when bear count is very high and price stops making new lows or shows absorption at the lows.
Use the palette and counts together: hot tiles plus a peaking white line can mark blow-off conditions, cold tiles plus a peaking black line can mark capitulation.
Regime detection and risk toggling
Use the overall shape of the ladder over time:
If upper strips stay warm and lower strips stay neutral or warm for extended periods, the market is in an uptrend regime. You can justify higher risk for long-biased strategies.
If upper strips stay cold and lower strips stay neutral or cold, the market is in a downtrend regime. You can justify higher risk for short-biased strategies or defensive positioning.
If colours and counts flip frequently, you are likely in a range or choppy regime. Consider reducing size or using more tactical, short-term strategies.
Multi-horizon synchronization
You can think of each RSI length as a proxy for a different “speed” of the same market:
When only fast RSIs are stretched, the move is local and less robust.
When fast, medium and slow RSIs align, the move has multi-horizon confirmation.
You can require a minimum bull or bear count before allowing your main strategy to engage.
Spotting hidden shifts
Sometimes price appears flat or drifting, but the heatmap quietly cools or warms:
If price is sideways while many hot tiles fade toward neutral, momentum is decaying under the surface and trend risk is increasing.
If price is sideways while many cold tiles climb back toward neutral, selling pressure is decaying and the tape is repairing itself.
Settings overview
Calculation Settings
RS Period – base RSI length for the shortest strip.
RSI Step – the increment added to each successive RSI length.
RSI Multiplier – scales all generated RSI lengths.
Calculation Source – the input series, such as close, hlc3 or others.
Plotting and Coloring Settings
Heatmap Color Palette – choose between Viridis, Jet, Plasma, Custom Heat, Gray, Cividis, Inferno, Magma, Turbo or Rainbow.
Show Group 1 – toggles RSI 1–5.
Show Group 2 – toggles RSI 6–10.
Show Group 3 – toggles RSI 11–15.
Show Group 4 – toggles RSI 16–20.
Show Bull and Bear Count – enables or disables the two breadth lines.
Alerts
RSI Heatmap Strong Bull – fires when the number of RSIs above 70 reaches or exceeds the configured threshold (default 10).
RSI Heatmap Strong Bear – fires when the number of RSIs below 30 reaches or exceeds the configured threshold (default 10).
Tuning guidance
Fast, tactical configurations
Use a small base RS Period, for example 2 to 5.
Use a small RSI Step, for tight clustering around the fast horizon.
Keep the multiplier near 1.0 to avoid extreme long lengths.
Focus on Group 1 and Group 2 for intraday and short-term trading.
Swing and position configurations
Use a mid-range RS Period, for example 7 to 14.
Use a moderate RSI Step to fan out into slower horizons.
Optionally use a multiplier slightly above 1.0.
Keep all four groups enabled for a full view from fast to slow.
Macro or higher timeframe configurations
Use a larger base RS Period.
Use a larger RSI Step so the top of the ladder reaches very slow lengths.
Focus on Group 3 and Group 4 to see structural momentum.
Treat clusters as regime markers rather than frequent trading signals.
Notes
This indicator is a contextual tool, not a standalone trading system. It does not model execution, spreads, slippage or fundamental drivers. Use it to:
Understand whether momentum is narrow or broad across horizons.
Confirm or filter existing signals from your primary strategy.
Identify environments where the market is crowded into one side.
Distinguish between isolated spikes and truly broad pressure moves.
The Relative Strength Heatmap is designed to answer a simple but powerful question:
“How many versions of RSI agree with what I am seeing on the chart?”
By compressing those answers into a single panel with clear colour coding and breadth lines, it becomes a practical, visual gauge of momentum breadth and market pressure that you can overlay on any trading framework.
Viprasol Elite Flow Pro - Premium Order Flow & Trend System═══════════════════════════════════════════════════════════════
🔥 VIPRASOL ELITE FLOW PRO
Professional Order Flow & Trend Detection System
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📊 WHAT IS THIS INDICATOR?
Viprasol Elite Flow Pro is a comprehensive trading system that combines institutional order flow analysis with adaptive trend detection. Unlike basic indicators, this tool identifies high-probability setups by analyzing where smart money is likely positioning, while filtering signals through multiple confirmation layers.
This indicator is designed for traders who want to:
✓ Identify premium (supply) and discount (demand) zones automatically
✓ Detect trend direction with adaptive cloud technology
✓ Spot high-volume rejection points before major moves
✓ Filter low-quality signals with intelligent confirmation logic
✓ Track market strength in real-time via elite dashboard
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🎯 CORE FEATURES
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1️⃣ ELITE TREND ENGINE
• Adaptive Moving Average system (Fast/Adaptive/Smooth modes)
• Dynamic trend cloud that expands/contracts with volatility
• Real-time trend state tracking (Bullish/Bearish/Ranging)
• Trend strength meter (0-10 scale)
• ATR-based volatility adjustments
2️⃣ ORDER FLOW DETECTION
• Automatic Premium Zone (Supply) identification
• Automatic Discount Zone (Demand) identification
• Smart zone extension - zones remain valid until broken
• Zone rejection detection with price action confirmation
• Customizable zone strength (5-30 bars lookback)
3️⃣ VOLUME INTELLIGENCE
• Volume spike detection (configurable threshold)
• Climax bar identification (exhaustion signals)
• Volume filter for signal validation
• Institutional activity detection
4️⃣ SMART SIGNAL SYSTEM
• 3 Signal Modes: Aggressive, Balanced, Conservative
• Multi-layer confirmation logic
• Automatic profit targets (2:1 risk-reward)
• Stop loss suggestions based on ATR
• Prevents overtrading with bars-since-signal filter
5️⃣ ELITE DASHBOARD (HUD)
• Real-time trend direction and strength
• Volume status monitoring
• Active zones counter
• Market volatility gauge
• Current signal status
• 4 positioning options, compact mode available
6️⃣ PREMIUM STYLING
• 4 Professional color themes (Cyber/Gold/Ocean/Fire)
• Adjustable transparency and label sizes
• Clean, institutional-grade visuals
• Optimized for all chart types
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📖 HOW TO USE THIS INDICATOR
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STEP 1: TREND IDENTIFICATION
→ Green Cloud = Bullish trend - look for LONG opportunities
→ Red Cloud = Bearish trend - look for SHORT opportunities
→ Purple Cloud = Ranging - wait for breakout or fade extremes
STEP 2: ZONE ANALYSIS
→ PREMIUM (Red) zones = Potential resistance/supply areas
→ DISCOUNT (Green) zones = Potential support/demand areas
→ Price rejecting from zones = high-probability setups
STEP 3: SIGNAL CONFIRMATION
→ Wait for "LONG" or "SHORT" labels to appear
→ Check dashboard for trend strength (Moderate/Strong preferred)
→ Confirm volume status is "HIGH" or "CLIMAX"
→ Entry: Enter when label appears
→ Stop Loss: Use dotted line (1 ATR away)
→ Take Profit: Use dashed line (2 ATR away)
STEP 4: RISK MANAGEMENT
→ Never risk more than 1-2% per trade
→ Use the provided stop loss levels
→ Trail stops as price moves in your favor
→ Avoid trading during low volatility periods
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⚙️ RECOMMENDED SETTINGS
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FOR SCALPING (1M - 5M):
- Trend Type: Fast
- Sensitivity: 15
- Signal Mode: Aggressive
- Zone Strength: 8
FOR DAY TRADING (15M - 1H):
- Trend Type: Adaptive
- Sensitivity: 21 (default)
- Signal Mode: Balanced
- Zone Strength: 12 (default)
FOR SWING TRADING (4H - Daily):
- Trend Type: Smooth
- Sensitivity: 34
- Signal Mode: Conservative
- Zone Strength: 20
BEST MARKETS:
✓ Crypto (BTC, ETH, major altcoins)
✓ Forex (Major pairs: EUR/USD, GBP/USD)
✓ Indices (S&P 500, NASDAQ, DAX)
✓ High-liquidity stocks
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🎓 UNDERSTANDING THE METHODOLOGY
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This indicator is built on three core concepts:
1. ORDER FLOW THEORY
Markets move between premium (expensive) and discount (cheap) zones. Smart money accumulates in discount zones and distributes in premium zones. This indicator identifies these zones automatically.
2. ADAPTIVE TREND FOLLOWING
Unlike fixed-period moving averages, the Elite Trend Engine adjusts to current market volatility, providing more accurate trend signals in both trending and ranging conditions.
3. CONFLUENCE-BASED ENTRIES
Signals only trigger when multiple conditions align:
- Price in correct zone (premium for shorts, discount for longs)
- Trend confirmation (cloud color matches direction)
- Volume validation (spike or climax present)
- Price action strength (strong rejection candles)
This multi-layer approach dramatically reduces false signals.
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🔔 ALERT SETUP
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This indicator includes 5 alert types:
1. Long Signal → Triggers when buy conditions met
2. Short Signal → Triggers when sell conditions met
3. Volume Climax → Warns of pot
Superior-Range Bound Renko - Strategy - 11-29-25 - SignalLynxSuperior-Range Bound Renko Strategy with Advanced Risk Management Template
Signal Lynx | Free Scripts supporting Automation for the Night-Shift Nation 🌙
1. Overview
Welcome to Superior-Range Bound Renko (RBR) — a volatility-aware, structure-respecting swing-trading system built on top of a full Risk Management (RM) Template from Signal Lynx.
Instead of relying on static lookbacks (like “14-period RSI”) or plain MA crosses, Superior RBR:
Adapts its range definition to market volatility in real time
Emulates Renko Bricks on a standard, time-based chart (no Renko chart type required)
Uses a stack of Laguerre Filters to detect genuine impulse vs. noise
Adds an Adaptive SuperTrend powered by a small k-means-style clustering routine on volatility
Under the hood, this script also includes the full Signal Lynx Risk Management Engine:
A state machine that separates “Signal” from “Execution”
Layered exit tools: Stop Loss, Trailing Stop, Staged Take Profit, Advanced Adaptive Trailing Stop (AATS), and an RSI-style stop (RSIS)
Designed for non-repainting behavior on closed candles by basing execution-critical logic on previous-bar data
We are publishing this as an open-source template so traders and developers can leverage a professional-grade RM engine while integrating their own signal logic if they wish.
2. Quick Action Guide (TL;DR)
Best Timeframe:
4 Hours (H4) and above. This is a high-conviction swing-trading system, not a scalper.
Best Assets:
Volatile instruments that still respect market structure:
Bitcoin, Ethereum, Gold (XAUUSD), high-volatility Forex pairs (e.g., GBPJPY), indices with clean ranges.
Strategy Type:
Volatility-Adaptive Trend Following + Impulse Detection.
It hunts for genuine expansion out of ranges, not tiny mean-reversion nibbles.
Key Feature:
Renko Emulation on time-based candles.
We mathematically model Renko Bricks and overlay them on your standard chart to define:
“Equilibrium” zones (inside the brick structure)
“Breakout / impulse” zones (when price AND the impulse line depart from the bricks)
Repainting:
Designed to be non-repainting on closed candles.
All RM execution logic uses confirmed historical data (no future bars, no security() lookahead). Intrabar flicker during formation is allowed, but once a bar closes the engine’s decisions are stable.
Core Toggles & Filters:
Enable Longs and Shorts independently
Optional Weekend filter (block trades on Saturday/Sunday)
Per-module toggles: Stop Loss, Trailing Stop, Staged Take Profits, AATS, RSIS
3. Detailed Report: How It Works
A. The Strategy Logic: Superior RBR
Superior RBR builds its entry signal from multiple mathematical layers working together.
1) Adaptive Lookback (Volatility Normalization)
Instead of a fixed 100-bar or 200-bar range, the script:
Computes ATR-based volatility over a user-defined period.
Normalizes that volatility relative to its recent min/max.
Maps the normalized value into a dynamic lookback window between a minimum and maximum (e.g., 4 to 100 bars).
High Volatility:
The lookback shrinks, so the system reacts faster to explosive moves.
Low Volatility:
The lookback expands, so the system sees a “bigger picture” and filters out chop.
All the core “Range High/Low” and “Range Close High/Low” boundaries are built on top of this adaptive window.
2) Range Construction & Quick Ranges
The engine constructs several nested ranges:
Outer Range:
rangeHighFinal – dynamic highest high
rangeLowFinal – dynamic lowest low
Inner Close Range:
rangeCloseHighFinal – highest close
rangeCloseLowFinal – lowest close
Quick Ranges:
“Half-length” variants of those, used to detect more responsive changes in structure and volatility.
These ranges define:
The macro box price is trading inside
Shorter-term “pressure zones” where price is coiling before expansion
3) Renko Emulation (The Bricks)
Rather than using the Renko chart type (which discards time), this script emulates Renko behavior on your normal candles:
A “brick size” is defined either:
As a standard percentage move, or
As a volatility-driven (ATR) brick, optionally inhibited by a minimum standard size
The engine tracks a base value and derives:
brickUpper – top of the emulated brick
brickLower – bottom of the emulated brick
When price moves sufficiently beyond those levels, the brick “shifts”, and the directional memory (renkoDir) updates:
renkoDir = +2 when bricks are advancing upward
renkoDir = -2 when bricks are stepping downward
You can think of this as a synthetic Renko tape overlaid on time-based candles:
Inside the brick: equilibrium / consolidation
Breaking away from the brick: momentum / expansion
4) Impulse Tracking with Laguerre Filters
The script uses multiple Laguerre Filters to smooth price and brick-derived data without traditional lag.
Key filters include:
LagF_1 / LagF_W: Based on brick upper/lower baselines
LagF_Q: Based on HLCC4 (high + low + 2×close)/4
LagF_Y / LagF_P: Complex averages combining brick structures and range averages
LagF_V (Primary Impulse Line):
A smooth, high-level impulse line derived from a blend of the above plus the outer ranges
Conceptually:
When the impulse line pushes away from the brick structure and continues in one direction, an impulse move is underway.
When its direction flips and begins to roll over, the impulse is fading, hinting at mean reversion back into the range.
5) Fib-Based Structure & Swaps
The system also layers in Fib levels derived from the adaptive ranges:
Standard levels (12%, 23.6%, 38.2%, 50%, 61%, 76.8%, 88%) from the main range
A secondary “swap” set derived from close-range dynamics (fib12Swap, fib23Swap, etc.)
These Fibs are used to:
Bucket price into structural zones (below 12, between 23–38, etc.)
Detect breakouts when price and Laguerre move beyond key Fib thresholds
Drive zSwap logic (where a secondary Fib set becomes the active structure once certain conditions are met)
6) Adaptive SuperTrend with K-Means-Style Volatility Clustering
Under the hood, the script uses a small k-means-style clustering routine on ATR:
ATR is measured over a fixed period
The range of ATR values is split into Low, Medium, High volatility centroids
Current ATR is assigned to the nearest centroid (cluster)
From that, a SuperTrend variant (STK) is computed with dynamic sensitivity:
In quiet markets, SuperTrend can afford to be tighter
In wild markets, it widens appropriately to avoid constant whipsaw
This SuperTrend-based oscillator (LagF_K and its signals) is then combined with the brick and Laguerre stack to confirm valid trend regimes.
7) Final Baseline Signals (+2 / -2)
The “brain” of Superior RBR lives in the Baseline & Signal Generation block:
Two composite signals are built: B1 and B2:
They combine:
Fib breakouts
Renko direction (renkoDir)
Expansion direction (expansionQuickDir)
Multiple Laguerre alignments (LagF_Q, LagF_W, LagF_Y, LagF_Z, LagF_P, LagF_V)
They also factor in whether Fib structures are expanding or contracting.
A user toggle selects the “Baseline” signal:
finalSig = B2 (default) or B1 (alternate baseline)
finalSig is then filtered through the RM state machine and only when everything aligns, we emit:
+2 = Long / Buy signal
-2 = Short / Sell signal
0 = No new trade
Those +2 / -2 values are what feed the Risk Management Engine.
B. The Risk Management (RM) Engine
This script features the Signal Lynx Risk Management Engine, a proprietary state machine built to separate Signal from Execution.
Instead of firing orders directly on indicator conditions, we:
Convert the raw signal into a clean integer (Fin = +2 / -2 / 0)
Feed it into a Trade State Machine that understands:
Are we flat?
Are we in a long or short?
Are we in a closing sequence?
Should we permit re-entry now or wait?
Logic Injection / Template Concept:
The RM engine expects a simple integer:
+2 → Buy
-2 → Sell
Everything else (0) is “no new trade”
This makes the script a template:
You can remove the Superior RBR block
Drop in your own logic (RSI, MACD, price action, etc.)
As long as you output +2 or -2 into the same signal channel, the RM engine can drive all exits and state transitions.
Aggressive vs Conservative Modes:
The input AgressiveRM (Aggressive RM) governs how we interpret signals:
Conservative Mode (Aggressive RM = false):
Uses a more filtered internal signal (AF) to open trades
Effectively waits for a clean trend flip / confirmation before new entries
Minimizes whipsaw at the cost of fewer trades
Aggressive Mode (Aggressive RM = true):
Reacts directly to the fresh alert (AO) pulses
Allows faster re-entries in the same direction after RM-based exits
Still respects your pyramiding setting; this script ships with pyramiding = 0 by default, so it will not stack multiple positions unless you change that parameter in the strategy() call.
The state machine enforces discipline on top of your signal logic, reducing double-fires and signal spam.
C. Advanced Exit Protocols (Layered Defense)
The exit side is where this template really shines. Instead of a single “take profit or stop loss,” it uses multiple, cooperating layers.
1) Hard Stop Loss
A classic percentage-based Stop Loss (SL) relative to the entry price.
Acts as a final “catastrophic protection” layer for unexpected moves.
2) Standard Trailing Stop
A percentage-based Trailing Stop (TS) that:
Activates only after price has moved a certain percentage in your favor (tsActivation)
Then trails price by a configurable percentage (ts)
This is a straightforward, battle-tested trailing mechanism.
3) Staged Take Profits (Three Levels)
The script supports three staged Take Profit levels (TP1, TP2, TP3):
Each stage has:
Activation percentage (how far price must move in your favor)
Trailing amount for that stage
Position percentage to close
Example setup:
TP1:
Activate at +10%
Trailing 5%
Close 10% of the position
TP2:
Activate at +20%
Trailing 10%
Close another 10%
TP3:
Activate at +30%
Trailing 5%
Close the remaining 80% (“runner”)
You can tailor these quantities for partial scaling out vs. letting a core position ride.
4) Advanced Adaptive Trailing Stop (AATS)
AATS is a sophisticated volatility- and structure-aware stop:
Uses Hirashima Sugita style levels (HSRS) to model “floors” and “ceilings” of price:
Dungeon → Lower floors → Mid → Upper floors → Penthouse
These levels classify where current price sits within a long-term distribution.
Combines HSRS with Bollinger-style envelopes and EMAs to determine:
Is price extended far into the upper structure?
Is it compressed near the lower ranges?
From this, it computes an adaptive factor that controls how tight or loose the trailing level (aATS / bATS) should be:
High Volatility / Penthouse areas:
Stop loosens to avoid getting wicked out by inevitable spikes.
Low Volatility / compressed structure:
Stop tightens to lock in and protect profit.
AATS is designed to be the “smart last line” that responds to context instead of a single fixed percentage.
5) RSI-Style Stop (RSIS)
On top of AATS, the script includes a RSI-like regime filter:
A McGinley Dynamic mean of price plus ATR bands creates a dynamic channel.
Crosses above the top band and below the lower band change a directional state.
When enabled (UseRSIS):
RSIS can confirm or veto AATS closes:
For longs: A shift to bearish RSIS can force exits sooner.
For shorts: A shift to bullish RSIS can do the same.
This extra layer helps avoid over-reactive stops in strong trends while still respecting a regime change when it happens.
D. Repainting Protection
Many strategies look incredible in the Strategy Tester but fail in live trading because they rely on intrabar values or future-knowledge functions.
This template is built with closed-candle realism in mind:
The Risk Management logic explicitly uses previous bar data (open , high , low , close ) for the key decisions on:
Trailing stop updates
TP triggers
SL hits
RM state transitions
No security() lookahead or future-bar access is used.
This means:
Backtest behavior is designed to match what you can actually get with TradingView alerts and live automation.
Signals may “flicker” intrabar while the candle is forming (as with any strategy), but on closed candles, the RM decisions are stable and non-repainting.
4. For Developers & Modders
We strongly encourage you to mod this script.
To plug your own strategy into the RM engine:
Look for the section titled:
// BASELINE & SIGNAL GENERATION
You will see composite logic building B1 and B2, and then selecting:
baseSig = B2
altSig = B1
finalSig = sigSwap ? baseSig : altSig
You can replace the content used to generate baseSig / altSig with your own logic, for example:
RSI crosses
MACD histogram flips
Candle pattern detectors
External condition flags
Requirements are simple:
Your final logic must output:
2 → Buy signal
-2 → Sell signal
0 → No new trade
That output flows into the RM engine via finalSig → AlertOpen → state machine → Fin.
Once you wire your signals into finalSig, the entire Risk Management system (Stops, TPs, AATS, RSIS, re-entry logic, weekend filters, long/short toggles) becomes available for your custom strategy without re-inventing the wheel.
This makes Superior RBR not just a strategy, but a reference architecture for serious Pine dev work.
5. About Signal Lynx
Automation for the Night-Shift Nation 🌙
Signal Lynx focuses on helping traders and developers bridge the gap between indicator logic and real-world automation. The same RM engine you see here powers multiple internal systems and templates, including other public scripts like the Super-AO Strategy with Advanced Risk Management.
We provide this code open source under the Mozilla Public License 2.0 (MPL-2.0) to:
Demonstrate how Adaptive Logic and structured Risk Management can outperform static, one-layer indicators
Give Pine Script users a battle-tested RM backbone they can reuse, remix, and extend
If you are looking to automate your TradingView strategies, route signals to exchanges, or simply want safer, smarter strategy structures, please keep Signal Lynx in your search.
License: Mozilla Public License 2.0 (Open Source).
If you make beneficial modifications, please consider releasing them back to the community so everyone can benefit.
Mebane Faber GTAA 5In 2007, Mebane Faber published research that challenged the conventional wisdom of buy-and-hold investing. His paper, titled "A Quantitative Approach to Tactical Asset Allocation" and published in the Journal of Wealth Management, demonstrated that a simple timing mechanism could reduce portfolio volatility and drawdowns while maintaining competitive returns (Faber, 2007). This indicator implements his Global Tactical Asset Allocation strategy, known as GTAA5, following the original methodology.
The core insight of Faber's research stems from a century of market data. By analyzing asset class performance from 1901 onwards, Faber found that a ten-month simple moving average served as an effective trend filter across major asset classes. When an asset trades above its ten-month moving average, it tends to continue its upward trajectory; when it falls below, significant drawdowns often follow (Faber, 2007, pp. 12-16). This observation aligns with momentum research by Jegadeesh and Titman (1993), who documented that intermediate-term momentum persists across equity markets.
The GTAA5 strategy allocates capital equally across five diversified asset classes: domestic equities (SPY), international developed markets (EFA), aggregate bonds (AGG), commodities (DBC), and real estate investment trusts (VNQ). Each asset receives a twenty percent allocation when trading above its ten-month moving average. When an asset falls below this threshold, its allocation moves to short-term treasury bills (SHY), creating a dynamic cash position that scales with market risk (Cambria Investment Management, 2013).
The strategy's historical performance during market crises illustrates its function. During the 2008 financial crisis, traditional sixty-forty portfolios experienced drawdowns exceeding forty percent. The GTAA5 strategy limited losses to approximately twelve percent by reducing equity exposure as prices declined below their moving averages (Faber, 2013). This asymmetric return profile represents the strategy's primary characteristic.
This implementation uses monthly closing prices retrieved via request.security() to calculate the ten-month simple moving average. This distinction matters, as approximations using daily data (such as a 200-day moving average) can generate different signals during volatile periods. Monthly data ensures the indicator produces signals consistent with published academic research.
The indicator provides position monitoring, automatic rebalancing detection on either the first or last trading day of each month, and share calculations based on user-defined capital. A dashboard displays current trend status for each asset class, target versus actual weightings, and trade instructions for rebalancing. Performance metrics including annualized volatility and Sharpe ratio provide ongoing risk assessment.
Several limitations warrant acknowledgment. First, the strategy rebalances monthly, meaning it cannot respond to intra-month market crashes. Second, transaction costs and taxes from monthly rebalancing may reduce net returns for taxable accounts. Third, the ten-month lookback period, while historically robust, offers no guarantee of future effectiveness. As Ilmanen (2011) notes in "Expected Returns", all timing strategies face the risk of regime change, where historical relationships break down.
This indicator serves educational purposes and portfolio monitoring. It does not constitute financial advice.
References:
Cambria Investment Management (2013). Global Tactical Asset Allocation: An Introduction to the Approach. Research Report, Los Angeles.
Faber, M.T. (2007). A Quantitative Approach to Tactical Asset Allocation. Journal of Wealth Management, Spring 2007, pp. 9-79.
Faber, M.T. (2013). Global Asset Allocation: A Survey of the World's Top Asset Allocation Strategies. Cambria Investment Management, Los Angeles.
Ilmanen, A. (2011). Expected Returns: An Investor's Guide to Harvesting Market Rewards. John Wiley and Sons, Chichester.
Jegadeesh, N. and Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), pp. 65-91.
Minervini VCP Pattern -Indian ContextThis script implements Mark Minervini's Trend Template and VCP (Volatility Contraction Pattern) pattern, specifically adapted for Indian stock markets (NSE). It helps identify stocks that are in strong uptrends and ready to break out.
Core Concepts Explained
1. What is the Minervini Trend Template?
Mark Minervini's method identifies stocks in Stage 2 uptrends - the sweet spot where institutional money is accumulating and stocks show the strongest momentum. Think of it as finding stocks that are "leaders" rather than "laggards."
2. What is VCP (Volatility Contraction Pattern)?
A VCP occurs when:
Stock price consolidates (moves sideways) after an uptrend
Price swings get tighter and tighter (like a coiled spring)
Volume dries up (fewer people trading)
Then it breaks out with force.
You can customize the strategy settings without editing code.
Key Settings:
Minimum Price (₹50): Filters out penny stocks that are too volatile
Min Distance from 52W Low (30%): Stock should be at least 30% above its yearly low
Max Distance from 52W High (25%): Stock should be within 25% of its yearly high (showing strength)
Moving Average Periods: 10, 50, 150, 200 days (industry standard)
Minimum Volume (100,000 shares): Ensures the stock is liquid enough to trade
Indian Market Adaptation: The default values (₹50 minimum, volume thresholds) are adjusted for NSE stocks, which behave differently than US markets.
The script pulls weekly chart data even when you're viewing daily charts.
Why it matters: Weekly trends are more reliable than daily noise. Professional traders use weekly charts to confirm the bigger picture.
What are Moving Averages (MAs)?
Simple averages of closing prices over X days
They smooth out price action to show trends
Think of them as the "average cost" of buyers over different time periods
The 4 Key MAs:
10 MA (Fast): Very short-term trend
50 MA: Short to medium-term trend
150 MA: Medium to long-term trend
200 MA: Long-term trend (the "grandfather" of all MAs)
Why Weekly MAs?
The script also calculates 10 and 50 MAs on weekly data for additional confirmation of the bigger trend.
The script Finds the highest and lowest prices over the past 52 weeks (1 year).
Why it matters:
Stocks near 52-week highs are showing strength (institutions buying)
Stocks far from 52-week lows have "room to run" upward
This is a psychological level that influences trader behaviour.
What is Volume here ?
The number of shares traded each day
High volume = many traders interested (conviction)
Low volume = lack of interest (weakness or consolidation)
Volume in VCP:
During consolidation (sideways movement), volume should dry up - this shows sellers are exhausted and buyers are holding. When volume spikes on a breakout, it confirms the move.
NSE Context: Indian stocks often have different volume patterns than US stocks, so the 50-day average is used as a baseline.
Relative Strength vs Nifty:
Example:
If your stock is up 20% and Nifty is up 10%, your stock has strong RS
If your stock is up 5% and Nifty is up 15%, your stock has weak RS (avoid it!)
Why it matters: The best performing stocks almost always have strong relative strength before major moves.
The 13 Minervini Conditions:-
Condition 1: Price > 50/150/200 MA
Meaning: Current price must be above ALL three major moving averages.
Why: This confirms the stock is in a clear uptrend. If price is below these MAs, the stock is weak or in a downtrend.
Condition 2: MA 50 > 150 > 200
Meaning: The moving averages themselves must be in proper order.
Analogy: Think of this like layers in a cake - short-term on top, long-term at bottom. If they're tangled, the trend is unclear.
Condition 3: 200 MA Rising (1 Month)
Meaning: The 200 MA today must be higher than it was 20 days ago.
Why: This confirms the long-term trend is UP, not flat or down. The means "20 bars ago."
Condition 4: 50 MA Rising
Meaning: The 50 MA today must be higher than 5 days ago.
Why: Confirms short-term momentum is accelerating upward.
Condition 5: Within 25% of 52-Week High
Meaning: Current price should be within 25% of its 1-year high.
Example:
52-week high = ₹1000
Current price must be above ₹750 (within 25%)
Why: Strong stocks stay near their highs. Weak stocks fall far from highs.
Condition 6: 30%+ Above 52-Week Low (OPTIONAL)
Meaning: Stock should be at least 30% above its yearly low.
Note: The script marks this as "SECONDARY - Optional" because the other conditions are more important. However, it's still a good confirmation.
Condition 7: Price > 10 MA
Meaning: Very short-term strength - price above the 10-day moving average.
Why: Ensures the stock hasn't just rolled over in the immediate term.
Condition 8: Price >= ₹50
Meaning: Filters out stocks below ₹50.
Why: In Indian markets, stocks below ₹50 tend to be penny stocks with poor liquidity and higher manipulation risk.
Condition 9: Weekly Uptrend
Meaning: On the weekly chart, price must be above both weekly MAs, and they must be properly aligned.
Why: Confirms the bigger picture trend, not just daily fluctuations.
Condition 10: 150 MA Rising
Meaning: The 150 MA is trending upward over the past 10 days.
Why: Another confirmation of medium-term trend health.
Condition 11: Sufficient Volume
Meaning: Average volume must exceed 100,000 shares (or your custom setting).
Why: Ensures you can actually buy/sell the stock without moving the price too much (liquidity).
Condition 12: RS vs Nifty Strong
Meaning: The stock's relative strength vs Nifty must be improving.
Why: You want stocks that are outperforming the market, not underperforming.
Condition 13: Nifty in Uptrend
Meaning: The Nifty 50 index itself must be above its 50 MA.
Why: "A rising tide lifts all boats." It's easier to make money in individual stocks when the overall market is bullish.
VCP Requirements:
Volatility Contracting: Price swings getting tighter (coiling spring)
Volume Drying Up: Fewer shares trading + trending lower
The Setup: When volatility contracts and volume dries up WHILE all 13 trend conditions are met, you have a VCP setup ready to explode.
What You See on Chart:
Colored Lines: 10 MA (green), 50 MA (blue), 150 MA (orange), 200 MA (red)
Blue Background: Trend template conditions met (watch zone)
Green Background: Full VCP setup detected (buy zone)
↟ Symbol Below Price: New VCP buy signal just triggered
Information Table:
What it does: Creates a checklist table on your chart showing the status of all conditions.
Table Structure:
Column 1: Condition name
Column 2: Status (✓ green = met, ✗ red = not met)
Final Row: Shows "BUY" (green) or "WAIT" (red) based on full VCP setup status.
Dos:
Example:
Account size: ₹5,00,000
Risk per trade: 1% = ₹5,000
Entry: ₹1000
Stop loss: ₹920 (8% below)
Distance to stop: ₹80
Shares to buy: ₹5,000 / ₹80 = 62 shares
Exit Strategy:
Sell 1/3 at +20% profit
Sell another 1/3 at +40% profit
Let the final 1/3 run with a trailing stop
Always exit if price closes below 10 MA on heavy volume
What This Script Does NOT Do:
Guarantee profits - No strategy works 100% of the time
Account for news events - Earnings, regulatory changes, etc.
Consider fundamentals - Company financials, debt, management quality
Adapt to market crashes - Works best in bull markets
Best Market Conditions:
✅ Nifty in uptrend (above 50 MA)
✅ Market breadth positive (more stocks advancing)
✅ Sector rotation happening
❌ Avoid in bear markets or high volatility periods
References:
Trade Like a Stock Market Wizard by Mark Minervini
Think & Trade Like a Champion by Mark Minervini
Chart attached: AU Small Finance Bank as on EoD dated 28/11/25
This script is a powerful tool for educational purpose only, remember: It's a tool, not a crystal ball. Use it to find high-probability setups, then apply proper risk management and patience. Good luck!
MTC – Multi-Timeframe Trend Confirmator V2MTC – Multi-Timeframe Trend Confirmator V2
A comprehensive trend analysis indicator that systematically combines six technical indicators across three customizable timeframes, using a weighted scoring system to identify high-probability trend conditions.
ORIGINALITY AND CONCEPT
This indicator is original in its approach to multi-timeframe trend confirmation. Rather than relying on a single indicator or timeframe, it creates a composite score by evaluating six different technical conditions simultaneously across three timeframes. The scoring system weighs certain indicators more heavily based on their reliability in trend identification. The visual gauge provides an at-a-glance view of trend alignment across timeframes, making it easier to identify when multiple timeframes agree - a condition that typically produces stronger, more reliable trends.
HOW IT WORKS - DETAILED SCORING METHODOLOGY
The indicator evaluates six technical conditions on each timeframe. Each condition contributes to a composite score:
EMA 200 (Weight: 1 point)
Bullish: Price closes above EMA 200 (+1)
Bearish: Price closes below EMA 200 (-1)
Rationale: Long-term trend direction
SMA 50/200 Crossover (Weight: 1 point)
Bullish: SMA 50 above SMA 200 (+1)
Bearish: SMA 50 below SMA 200 (-1)
Rationale: Golden/Death cross confirmation
RSI 14 (Weight: 1 point)
Bullish: RSI above 55 (+1)
Bearish: RSI below 45 (-1)
Neutral: RSI between 45-55 (0)
Rationale: Momentum filter with buffer zone to avoid chop
MACD (12,26,9) (Weight: 1 point)
Bullish: MACD line above signal line (+1)
Bearish: MACD line below signal line (-1)
Rationale: Trend momentum confirmation
ADX 14 (Weight: 2 points - DOUBLE WEIGHTED)
Requires ADX above 25 to activate
Bullish: DI+ above DI- and ADX > 25 (+2)
Bearish: DI- above DI+ and ADX > 25 (-2)
Neutral: ADX below 25 (0)
Rationale: Trend strength filter - only counts when a strong trend exists. Double weighted because ADX is specifically designed to measure trend strength, making it more reliable than oscillators.
Supertrend (Factor: 3.0, ATR Period: 10) (Weight: 2 points - DOUBLE WEIGHTED)
Bullish: Direction indicator = -1 (+2)
Bearish: Direction indicator = +1 (-2)
Rationale: Dynamic support/resistance that adapts to volatility. Double weighted because Supertrend provides clear, objective trend signals with built-in stop-loss levels.
COMPOSITE SCORE CALCULATION:
Total possible score range: -10 to +10 points
Score interpretation:
Score > 2: UPTREND (majority of indicators bullish, especially weighted ones)
Score < -2: DOWNTREND (majority of indicators bearish, especially weighted ones)
Score between -2 and +2: NEUTRAL/RANGING (mixed signals or weak trend)
The threshold of +/- 2 was chosen because it requires more than just basic agreement - it typically means at least 3-4 indicators align, or that the heavily-weighted indicators (ADX, Supertrend) confirm the direction.
MULTI-TIMEFRAME LOGIC:
The indicator calculates the composite score independently for three timeframes:
Higher Timeframe (default: 4H) - Major trend direction
Mid Timeframe (default: 1H) - Intermediate trend
Lower Timeframe (default: 15min) - Entry timing
Main Trend Confirmation Rule:
The indicator only signals a confirmed trend when BOTH the higher timeframe AND mid timeframe scores agree (both > 2 for uptrend, or both < -2 for downtrend). This dual-timeframe confirmation significantly reduces false signals during choppy or ranging markets.
HOW TO USE IT
Setup:
Add indicator to chart
Customize timeframes based on your trading style:
Scalpers: 15min, 5min, 1min
Day traders: 4H, 1H, 15min (default)
Swing traders: Daily, 4H, 1H
Toggle individual indicators on/off based on your preference
Adjust Supertrend parameters if needed for your instrument's volatility
Reading the Gauge (Top Right Corner):
Each row shows one timeframe
Left column: Timeframe label
Middle column: Visual strength bars (10 bars = maximum score)
Green bars = Bullish score
Red bars = Bearish score
Yellow bars = Neutral/ranging
More filled bars = stronger trend
Right column: Numerical score
Trading Signals:
Entry Signals:
Long Entry: Wait for upward triangle arrow (appears when higher + mid TF both bullish)
Confirm gauge shows green bars on higher and mid timeframes
Lower timeframe should ideally turn green for entry timing
Chart background tints light green
Short Entry: Wait for downward triangle arrow (appears when higher + mid TF both bearish)
Confirm gauge shows red bars on higher and mid timeframes
Lower timeframe should ideally turn red for entry timing
Chart background tints light red
Position Management:
Stay in position while higher and mid timeframes remain aligned
Consider reducing position size when mid timeframe score weakens
Exit when higher timeframe trend reverses (daily label changes)
Avoiding False Signals:
Ignore signals when gauge shows mixed colors across timeframes
Avoid trading when scores are close to threshold (+/- 2 to +/- 4 range)
Best trades occur when all three timeframes align (all green or all red in gauge)
Use the numerical scores: higher absolute values (7-10) indicate stronger, more reliable trends
Practical Examples:
Example 1 - Strong Uptrend Entry:
Higher TF: +8 (strong green bars)
Mid TF: +6 (strong green bars)
Lower TF: +4 (moderate green bars)
Action: Look for long entries on lower timeframe pullbacks
Background is tinted green, upward arrow appears
Example 2 - Ranging Market (Avoid):
Higher TF: +3 (weak green)
Mid TF: -1 (weak red)
Lower TF: +2 (neutral yellow)
Action: Stay out, wait for alignment
Example 3 - Trend Reversal Warning:
Higher TF: +7 (still green)
Mid TF: -3 (turned red)
Lower TF: -5 (strong red)
Action: Consider exiting longs, prepare for potential higher TF reversal
Customization Options:
Timeframes: Adjust all three to match your trading horizon
Indicator Toggles: Disable indicators that don't suit your instrument:
Disable RSI for highly volatile crypto markets
Disable SMA crossover for range-bound instruments
Keep ADX and Supertrend enabled for trending markets
Visual Preferences:
Arrow size: 5 options from Tiny to Huge
Gauge size: Small/Medium/Large for different screen sizes
Toggle arrows on/off if you only want the gauge
Alert Setup:
Right-click chart, "Add Alert"
Condition: MTC v6 - UPTREND or DOWNTREND
Get notified when multi-timeframe confirmation occurs
Best Practices:
Use with Price Action: The indicator works best when combined with support/resistance levels, chart patterns, and volume analysis
Risk Management: Even with multi-timeframe confirmation, always use stop losses
Market Context: Works best in trending markets; less reliable in strong consolidation
Backtesting: Test the default settings on your specific instrument and timeframe before live trading
Patience: Wait for full multi-timeframe alignment rather than taking premature signals
Technical Notes:
All calculations use Pine Script's security function to fetch data from multiple timeframes
Prevents repainting by using confirmed bar data
Gauge updates in real-time on the last bar
Daily labels mark at the open of each new daily candle
Works on all instruments and timeframes
This indicator is ideal for traders who want objective, systematic trend identification without the complexity of analyzing multiple indicators manually across different timeframes.
-NATANTIA
Smart MACD Divergence ScannerOriginal Base Indicator: "CM_MacD_Ult_MTF" by ChrisMoody
This indicator builds upon ChrisMoody's excellent multi-timeframe MACD foundation and transforms it into a professional divergence scanner with advanced quality assessment and filtering capabilities. The original MACD visualization and MTF functionality have been preserved while adding completely new divergence detection, scoring, and filtering systems.
🎯 What Makes This Indicator Unique:
Smart MACD Divergence Scanner is a professional tool for detecting MACD-based divergences with an advanced filtering system and signal quality assessment. Unlike standard divergence indicators, this version includes innovative features:
Adaptive Quality Scoring System — each signal receives a score from 0 to 100 based on multiple factors
Volatility Filter — automatic signal suppression during low market volatility periods
Multi-Timeframe Confirmation — divergence verification on higher timeframe for increased reliability
Divergence Strength Analysis — calculation of percentage difference between price and indicator movement
Information Dashboard — detailed real-time signal statistics
Cooldown System — prevention of multiple consecutive signals
💡 How It Works:
The indicator uses the classic divergence concept — the divergence between price movement and the MACD oscillator. However, instead of simple pivot detection, the algorithm:
Scans the market for local extremes (pivots) on price and MACD histogram
Searches for divergences — when price updates low/high while MACD shows opposite movement
Assesses quality — analyzes divergence strength, volatility, higher timeframe confirmation
Filters noise — eliminates weak signals through threshold system and cooldown
Generates signal — only when all quality criteria are met
🔧 Key Parameters:
MACD Settings: Fast Length (12), Slow Length (26), Signal Length (9)
Divergence Detection: Pivot Lookback (5), Max Lookback Range (60), Min Divergence Strength (15%)
Quality Filters: Min Quality Score (60), Volatility Filter, MTF Confirmation, Signal Cooldown (5)
📊 How to Use:
Add indicator to chart — it will automatically start scanning
Configure filters — start with default settings, then adapt to your trading style
Watch for signals: 🟢 Green "BUY" label = bullish divergence, 🔴 Red "SELL" label = bearish divergence
Check quality score on labels (Q: XX)
Use information panel to monitor statistics and current market conditions
⚙️ Settings Guide:
For swing trading (4H-Daily): Increase Pivot Lookback to 7-10, set Min Quality Score to 70+
For day trading (15m-1H): Keep default settings, enable all filters
For scalping (1m-5m): Decrease Min Quality Score to 50, disable MTF Confirmation
For volatile markets (crypto): Increase Min Divergence Strength to 20-25%, enable Volatility Filter
⚠️ Important Notes:
Divergences are probabilistic signals, not guaranteed reversals
Use additional confirmation (support/resistance levels, volume, price action)
Adjust parameters for specific asset and timeframe
Signals appear with Pivot Lookback bars delay (retrospective confirmation)
On volatile markets, increase Min Quality Score to reduce false signals
Mustang Algo - Momentum Trend Zone Backtest🐎 MUSTANG ALGO - Momentum Trend Zone Strategy
A complete trading system combining MACD momentum analysis with visual trend zones, full backtesting capabilities, and advanced risk management tools.
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🔹 OVERVIEW
Mustang Algo transforms traditional MACD analysis into a powerful visual trading system. It instantly identifies market bias through colored background zones and provides clear entry/exit signals with customizable stop loss and take profit management.
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🔹 KEY FEATURES
✅ Visual Trend Zones (Green = Bullish | Red = Bearish)
✅ Clear Buy/Sell Triangles on Chart
✅ Full Backtesting Engine
✅ Multiple Stop Loss Types
✅ Multiple Take Profit Types
✅ Trailing Stop Option
✅ Time Filter for Backtesting
✅ Real-time Info Panel
✅ Customizable Alerts
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🔹 HOW IT WORKS
The strategy uses a smoothed MACD system to detect trend changes:
- MACD Line (White): Fast EMA minus Slow EMA - shows raw momentum
- Signal Line (Yellow): EMA of MACD - shows smoothed trend direction
- Trend Zone: Changes when the smoothed signal line crosses zero
- Entry Signals: Generated at zone transitions
When the trend line crosses above zero → GREEN zone → BUY signal 🔺
When the trend line crosses below zero → RED zone → SELL signal 🔻
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🔹 STOP LOSS OPTIONS
🛑 Percentage: Fixed percentage from entry price
🛑 ATR-Based: Dynamic SL based on market volatility
🛑 Fixed Points: Set number of points/pips
🛑 Swing Low/High: Uses recent swing levels as stops
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🔹 TAKE PROFIT OPTIONS
🎯 Percentage: Fixed percentage target
🎯 ATR-Based: Dynamic TP based on volatility
🎯 Fixed Points: Set number of points/pips
🎯 Risk Reward: Automatic TP based on R:R ratio (e.g., 2:1, 3:1)
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🔹 TRAILING STOP
📈 Percentage-Based: Trail by a fixed percentage
📈 ATR-Based: Trail using ATR multiplier for dynamic adjustment
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🔹 SETTINGS
MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
- Trend Smoothing (default: 5)
Risk Management:
- Enable/Disable Stop Loss
- Enable/Disable Take Profit
- Enable/Disable Trailing Stop
- Customize all SL/TP parameters
Visual Options:
- Show/Hide Buy/Sell Triangles
- Show/Hide SL/TP Lines
- Show/Hide Labels
Time Filter:
- Set Start Date for backtest
- Set End Date for backtest
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🔹 SIGNALS EXPLAINED
🟢 GREEN TRIANGLE (Below Bar):
Bullish zone detected - Consider LONG entry
🔴 RED TRIANGLE (Above Bar):
Bearish zone detected - Consider SHORT entry
🟢 GREEN BACKGROUND:
Currently in bullish trend zone
🔴 RED BACKGROUND:
Currently in bearish trend zone
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🔹 INFO PANEL
The real-time info panel (top right) displays:
- Current Trend Zone status
- MACD value
- Signal Line value
- Active SL Type
- Active TP Type
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🔹 ALERTS
Set up alerts for:
🔔 Buy Signals: "🐎 Mustang Algo: BUY Signal on {ticker} at {price}"
🔔 Sell Signals: "🐎 Mustang Algo: SELL Signal on {ticker} at {price}"
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🔹 BEST PRACTICES
1. Use higher timeframes (1H, 4H, Daily) for more reliable signals
2. Combine with price action and support/resistance levels
3. Adjust ATR multipliers based on asset volatility
4. Use Risk Reward ratio for consistent risk management
5. Backtest on your preferred asset before live trading
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🔹 RECOMMENDED TIMEFRAMES
⏱️ Scalping: 5M, 15M (more signals, more noise)
⏱️ Day Trading: 1H, 4H (balanced signals)
⏱️ Swing Trading: Daily, Weekly (fewer but stronger signals)
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🔹 MARKETS
Works on all markets:
📈 Forex
📈 Crypto
📈 Stocks
📈 Indices
📈 Commodities
📈 Futures
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🐎 RIDE THE TREND WITH MUSTANG ALGO!
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⚠️ DISCLAIMER
This indicator/strategy is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always use proper risk management, do your own research, and consider consulting a financial advisor before making any trading decisions. Use at your own risk.
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📝 VERSION HISTORY
v1.0 - Initial Release
- MACD-based trend detection
- Visual trend zones
- Multiple SL/TP options
- Full backtesting support
- Trailing stop functionality
- Time filter
- Info panel
- Alert system
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💬 FEEDBACK
If you find this strategy useful, please leave a comment or suggestion!
Your feedback helps improve future updates.
🐎 Happy Trading!
Dual MTF Confirmed Trend Strategy (5m Entry / 15m MACD & RSI) v1That is a detailed Dual Multi-Timeframe (MTF) Confirmed Trend Strategy written in Pine Script for TradingView. The core idea of this strategy is to only take entry signals on a faster timeframe (5-minute) when the trend is strongly confirmed on a slower, higher timeframe (15-minute). This aims to reduce false signals and trade in the direction of the dominant trend. Here is an explanation of how the strategy works, broken down by section:
1. 5-Minute Entry Filters 🚀This section calculates several indicators on the current 5-minute chart to identify potential trade setups. A position is only considered if all 5-minute conditions align.
Supertrend: A trend-following indicator based on Average True Range (ATR).
Long Condition: The closing price must be above the Supertrend line.
Short Condition: The closing price must be below the Supertrend line.
Gann Hi-Lo (GHL): A trend indicator using Simple Moving Averages (SMA) of the high and low prices. GHL Line: Switches between the SMA of the Highs and the SMA of the Lows based on price action.
Long Condition: The closing price must be above the GHL line.
Short Condition: The closing price must be below the GHL line.
Exponential Moving Averages (EMAs): It uses a 50-period EMA and a 100-period EMA to confirm the short-term trend direction.
Long Condition: The closing price must be above both the 50 EMA and the 100 EMA.
Short Condition: The closing price must be below both the 50 EMA and the 100 EMA.
2. 15-Minute MTF Confirmation Filters ⏳This is the crucial step where the strategy verifies the trend on the slower, 15-minute timeframe using the request security function. This step acts as a gatekeeper to ensure the 5-minute trade aligns with the larger trend.
MACD Histogram (12, 26, 9): The difference between the MACD Line and the Signal Line.
Long Confirmation: The 15m MACD Histogram must be greater than 0 (MACD line is above the Signal line, indicating bullish momentum).
Short Confirmation: The 15m MACD Histogram must be less than 0 (MACD line is below the Signal line, indicating bearish momentum).
RSI (Relative Strength Index) (14): A momentum oscillator. The 50 level is often used to determine the general market trend.
Long Confirmation: The 15m RSI must be greater than 50 (indicating stronger bullish momentum).
Short Confirmation: The 15m RSI must be less than 50 (indicating stronger bearish momentum).
The Total 15m Confirmation is only true if both the MACD and the RSI confirmation signals align.
3. Trade Orders (Entry Logic) ⚖️
The strategy only executes a trade when the 5-minute entry conditions are met AND the 15-minute confirmation conditions are met.
Final Long Condition:
5m Conditions (Supertrend, GHL, EMA alignment) AND
15m Confirmation (MACD Hist > 0 AND RSI > 50)
Final Short Condition:
5m Conditions (Supertrend, GHL, EMA alignment) AND
15m Confirmation (MACD Hist < 0 AND RSI < 50)
When a trade signal is generated, the strategy:
Closes any opposite position (e.g., closes a "Short" trade if a "Long" signal appears).
Enters the new position (e.g., enters a "Long" trade).
This is designed as a reversal strategy where a new entry automatically closes the previous opposing trade.
In Summary
The strategy operates on a principle of Trend Alignment:
5-Minute Chart: Is used for Signal Timing (when exactly to enter the market).
15-Minute Chart: Is used for Trend Validation (is the overall market momentum supporting the signal?).
It's an attempt to capture short-term moves (5m signals) that are backed by strong medium-term momentum (15m confirmation), thereby aiming for higher probability trades.
This is not investment advice; it is recommended to perform optimization and backtesting for the assets intended for implementation.
WSMR v3.8 — WhaleSplash → Mean Reversal# WSMR v3.8 — WhaleSplash → Mean Reversal
### Global, Anchored, Non-Repainting Signal Framework for Futures, Crypto & Index Markets
**WSMR v3.8** is a volatility-anchored market-structure framework designed to detect two high-probability turning points:
## 1️⃣ WhaleSplash (WS) — Short Impulse Exhaustion
A “WhaleSplash” is a large downside impulse characterised by:
- bar range ≥ *k × ATR*
- strong % move
- volume expansion vs SMA(20)
- deep Z-Score oversold
- compression away from VWAP
- RSI weakness
When these conditions align, the indicator marks a short exhaustion event and prints a 🐋 icon below the bar. This is a **non-repainting bar-close confirmation**.
---
## 2️⃣ Mean Reversal (MR) — Bullish Reversal Setup
The MR module combines:
- RSI bullish divergence (pivot-based, safe)
- Z-Score reset above threshold
- SMA20 reclaim with positive slope
- Higher-low structure
When confirmed at bar-close, the indicator identifies conditions favourable for a **mean-reversion long**.
MR signals can optionally trigger an “**1st green candle after MR**” confirmation within a user-defined TTL (default 12 bars).
---
# 🎯 Key Features
### ✔ Non-Repainting Confirmed Signals
WS & MR only fire **after** bar close, using cooldown logic to avoid clustering and noise.
### ✔ VWAP-Anchored Z-Score Framework
All signals reference price distance and statistical deviation from VWAP, producing adaptive, volatility-aware setups.
### ✔ Session Filter (Asia-Optimised)
Optional session gating allows signals only between **23:00–09:00 UTC**, ideal for systematic Asia-session breakout & mean-reversion traders.
### ✔ Volatility Monitor (Normal → Extreme)
Dynamic volatility classification using:
- ATR baseline ratio
- wickiness index
- range Z-Score
States: **Normal → Wicky → Spiky → Extreme**
Displayed with colour-coded background in the status panel.
### ✔ Rolling WhaleSplash Frequency (Analytics Panel)
WSMR tracks the frequency of WhaleSplash events over a rolling window (Bars/Days/Weeks/Months) and estimates average WS/day (on minute timeframes).
### ✔ Status Panel (Bottom-Right)
Live display of:
- Mode (Global/Asia)
- Timeframe + TTL status
- WhaleSplash frequency
- Volatility state
- ATR/Range information
---
# 📌 Best Timeframes
Optimised and validated on **5-minute charts**, but compatible with all intraday timeframes.
---
# 🚨 Alerts Included
- WhaleSplash SHORT
- WhaleSplash LONG
- Volatility Warning (Spiky/Extreme)
---
# ⚠️ Notes
WSMR v3.8 is not a buy/sell system. It is a **signal framework** highlighting exhaustion and reversal conditions. Always combine with market structure, session context, and risk management. Past performance does not guarantee future results.
---
# 💬 Credits
Script created by **John Nolan (JohnFrancisNolan)**
Pine Script® v6
© 2024–2025 — Published under the **Mozilla Public License 2.0**
Meu scriptPricemap CONTROL (2, 1, 1, 5, 15, 60, 3, 50, 200, 14, 12, 26, 9, bottom_right, 21, 14, 14, 1, 1,5)
DarkPool's MacD DarkPool's MacD is an enhanced version of the classic Moving Average Convergence Divergence oscillator, engineered for modern traders who require more than just price data. While standard MACD indicators only measure price momentum, this tool integrates a Volume Weighting engine. This means the histogram bars expand not just based on price spread, but also based on the relative volume behind the move.
Additionally, the indicator features "True Multi-Timeframe (MTF)" capabilities, allowing you to view higher-timeframe momentum (e.g., Hourly or Daily) while trading on lower timeframes, alongside a 4-stage "Heatmap" color scheme to instantly visualize trend strength and exhaustion.
Key Features
Volume-Weighted Histogram: When enabled, histogram bars are multiplied by Relative Volume (RVOL). A large bar indicates strong price momentum backed by institutional volume, while a small bar suggests weak participation.
Vibrant Heatmap: A unique 4-color coding system that differentiates between "Strong Impulse" and "Fading Momentum" for both bullish and bearish trends.
True MTF: Overlay higher timeframe MACD data onto your current chart to align with the macro trend.
Visual Triggers: Automatically plots dots on crossovers and highlights the chart background to signal potential entry points.
How to Use
1. The Volume-Weighted Histogram The histogram is the heartbeat of this indicator.
Standard Mode: Shows the distance between the MACD and Signal lines.
Volume Mode (Default): If a move has high volume, the histogram bar grows significantly larger. If the price is moving but volume is low, the bar remains small. This helps filter out "fakeouts" where price moves without participation.
2. Reading the Heatmap (Colors) The "Vibrant Heatmap" theme uses specific colors to tell a story:
Cyan (Bright Blue): Strong Bullish Momentum. Buyers are in control.
Dodger Blue (Darker): Bullish but weakening. The trend is still up, but momentum is fading.
Pink/Red: Strong Bearish Momentum. Sellers are in control.
Gold/Amber: Bearish but weakening. The trend is still down, but selling pressure is drying up (potential reversal warning).
3. Crossover Signals
Bullish Cross: A bright circle appears on the line, and the background flashes Green. This occurs when the MACD crosses above the Signal line.
Bearish Cross: A bright circle appears on the line, and the background flashes Red. This occurs when the MACD crosses below the Signal line.
4. Multi-Timeframe Strategy Use the "Manual Timeframe" input to lock the MACD to a higher trend.
Example: If you trade on the 5-minute chart, set the indicator to "60" (1 Hour). You will now see the 1-Hour momentum displayed on your 5-minute chart, helping you avoid trading against the major trend.
Configuration Settings
Calculations
Fast/Slow Length: Standard MACD settings (Default: 12, 26).
Signal Smoothing: The length of the signal line (Default: 9).
Timeframe Settings
Use Current Chart: Uncheck this to enable the "Manual Timeframe" dropdown for MTF analysis.
Volume & Logic
Scale Histogram by Real Volume: The most important setting. Keep this checked to see the "force" behind the move. Uncheck it for a classic MACD look.
Styling
Color Theme:
Vibrant Heatmap: The default 4-stage color system.
Institutional: A grayscale/monochrome look for professional, distraction-free charts.
Dark Mode Safe: High contrast colours suitable for dark backgrounds.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of future results.
J&A Sessions & NewsProject J&A: Session Ranges is a precision-engineered tool designed for professional traders who operate based on Time & Price. Unlike standard session indicators that clutter the chart with background colors, this tool focuses on Dynamic Price Ranges to help you visualize the Highs, Lows, and liquidity pools of each session.
It is pre-configured for Frankfurt Time (Europe/Berlin) but is fully customizable for any global location.
Key Features
1. Dynamic Session Ranges (The Boxes) Instead of vertical stripes, this indicator draws Boxes that encapsulate the entire price action of a session.
Real-Time Tracking: The box automatically expands to capture the Highest High and Lowest Low of the current session.
Visual Clarity: Instantly see the trading range of Asia, London, and New York to identify breakouts or range-bound conditions.
2. The "Lunch Break" Logic (Unique Feature) Institutional volume often dies down during lunch hours. This indicator allows you to Split the Session to account for these breaks.
Enabled: The script draws two separate boxes (Morning Session vs. Afternoon Session), allowing you to see fresh ranges after the lunch accumulation.
Disabled: The script draws one continuous box for the full session.
3. Manual High-Impact News Scheduler Never get caught on the wrong side of a spike. Since TradingView scripts cannot access live calendars, this tool includes a Manual Scheduler for risk management.
Input: Simply input the time of high-impact events (e.g., CPI, NFP) from ForexFactory into the settings.
Visual: A dashed line appears on the chart at the exact news time.
Audio Alert: The system triggers an alarm 10 minutes before the event, giving you time to manage positions or exit trades.
Default Configuration (Frankfurt Time)
Asian Session: 01:00 - 10:00 (Lunch disabled)
London Session: 09:00 - 17:30 (Lunch: 12:00-13:00)
New York Session: 14:00 - 22:00 (Lunch: 18:00-19:00)
How to Use
Setup: Apply the indicator. The default timezone is Europe/Berlin. If you live elsewhere, simply change the "Your Timezone" setting to your local time (e.g., America/New_York), and the boxes will align automatically.
Daily Routine: Check the economic calendar in the morning. If there is a "Red Folder" event at 14:30, open the indicator settings and enter 14:30 into the News Scheduler.
Trade: Use the Session Highs and Lows as liquidity targets or breakout levels.
Settings & Customization
Timezone: Full support for major global trading hubs.
Colors: Customize the Box fill and Border colors for every session.
Labels: Rename sessions (e.g., "Tokyo" instead of "Asia") via the settings menu.
Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) [CHE]Bollinger Bands HTF Hardcoded (Len 20 / Dev 2) — Higher-timeframe BB emulation with bucket-based length scaling and on-chart diagnostics
Summary
This indicator emulates higher-timeframe Bollinger Bands directly on the current chart by scaling a fixed base length (20) via a timeframe-to-bucket multiplier map. It avoids cross-timeframe requests and instead applies the “HTF feel” by using a longer effective lookback on lower timeframes. Bands use the classic deviation of 2 and the original color scheme (Basis blue, Upper red, Lower green, blue fill). An on-chart table reports the resolved bucket, multiplier, and effective length.
Pine version: v6
Overlay: true
Primary outputs: Basis (SMA), Upper/Lower bands, background fill, optional info table
Motivation: Why this design?
Cross-timeframe Bollinger Bands typically rely on `request.security`, which can introduce complexity, mixed-bar alignment issues, and potential repaint paths depending on how users consume signals intrabar. This design offers a deterministic alternative: a single-series calculation on the chart timeframe, with a hardcoded “HTF emulation” achieved by scaling the BB length according to coarse higher-timeframe buckets. The result is a smoother, slower band structure on low timeframes without external timeframe calls.
What’s different vs. standard approaches?
Baseline: Standard Bollinger Bands with a fixed user length on the current timeframe, or true HTF bands via `request.security`.
Architecture differences:
Fixed base parameters: Length = 20, Deviation = 2.
Bucket mapping derived from the chart timeframe (or manually overridden).
No `request.security`; all computations occur on the current series.
Effective length is “20 × multiplier”, where multiplier approximates aggregation into the chosen bucket.
Diagnostics table for transparency (bucket, multiplier, resolved length, bandwidth).
Practical effect: On lower timeframes, the effective length becomes much larger, behaving like a higher-timeframe Bollinger structure (smoother basis and wider stability), while remaining purely local to the chart series.
How it works (technical)
The script first resolves a target bucket (“Auto” or a manual selection such as 60/240/1D/…/12M). It then computes a multiplier that approximates how many current bars fit into that bucket (e.g., 1m→60m uses mult≈60, 5m→60m uses mult≈12). The effective Bollinger length becomes:
`bb_len = 20 mult` (clamped to at least 1)
Using the effective length, it calculates:
`basis = ta.sma(src, bb_len)`
`dev = 2 ta.stdev(src, bb_len)`
`upper = basis + dev`
`lower = basis - dev`
A “bandwidth” diagnostic is also computed as `(upper-lower) / basis` (guarded against division by zero) and shown in the table as a percentage. A persistent table object is created/deleted based on the visibility toggle and updated only on the last bar for performance.
Parameter Guide
Source — Input series for the bands — Default: Close
Use close for classic behavior; smoother sources reduce responsiveness.
Bucket — HTF bucket selection — Default: Auto
Auto derives a bucket from the chart timeframe; manual selection forces the intended target bucket.
Offset — Plot offset — Default: 0
Shifts plots forward/back for visual alignment, displayed in the data window.
Table X / Table Y — Table anchor — Default: Right / Top
Places the diagnostics table in one of nine anchor points.
Table Size — Table text size — Default: Normal
Use small on dense charts, large for presentations.
Dark Mode — Table theme — Default: Enabled
Switches table palette for readability against chart background.
Show Table — Toggle diagnostics table — Default: Enabled
Disable for a cleaner chart.
Reading & Interpretation
Basis (blue): The moving average centerline of the bands (SMA of effective length).
Upper (red) / Lower (green): ±2 standard deviations around the basis using the same effective length.
Fill (blue tint): Visual band zone to quickly see compression/expansion.
Interpretation staples:
Price riding the upper band suggests strong bullish pressure; riding the lower band suggests strong bearish pressure.
Band expansion indicates rising volatility; contraction indicates volatility compression.
Mean reversion setups often key off the basis and re-entries from outside bands, while breakout/trend setups often key off sustained band rides.
Diagnostics table:
HTF Tag: Human-readable label showing the current timeframe → bucket mapping.
Bucket: The resolved target bucket (Auto result or manual selection).
Multiplier: The integer factor applied to the base length.
Len/Dev: Shows base length (20) and the effective length result plus deviation (2).
Bandwidth: Normalized width of the band (percent), useful for spotting squeezes.
Practical Workflows & Combinations
HTF context on LTF charts: Use this as “slow structure” bands on 1m–15m charts without requesting HTF data.
Squeeze detection: Watch bandwidth shrink to historically low levels, then look for break/hold outside bands.
Trend filtering: Favor long bias when price stays above the basis and repeatedly respects it; favor short bias when below.
Confluence: Combine with market structure (swing highs/lows), volume tools, or a trend filter (e.g., a longer MA) for confirmation.
Behavior, Constraints & Performance
Repaint/confirmation: No cross-timeframe requests. Values can still evolve intrabar and settle on close, as with any indicator computed on live bars.
History requirements: Very large effective lengths need sufficient historical bars; expect a warm-up period after loading or switching symbols/timeframes.
Known limits: Because the method approximates HTF behavior by scaling lookback, it is not identical to true HTF Bollinger Bands computed on aggregated candles. In particular, volatility and mean can differ slightly versus a real HTF series.
Sensible Defaults & Quick Tuning
Default workflow:
Bucket: Auto
Source: Close
Table: On (until you trust the mapping), then optionally off
If bands feel too slow on your timeframe: choose a smaller bucket (e.g., 60 instead of 240).
If bands feel too reactive/noisy: choose a larger bucket (e.g., 1D or 3D).
If chart looks cluttered: hide the table; keep only the bands and fill.
What this indicator is—and isn’t
This is a Bollinger Band visualization layer that emulates higher-timeframe “slowness” via deterministic length scaling. It is not a complete trading system and does not include entries, exits, sizing, or risk management. Use it as context alongside your execution rules and protective stops.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino.
Hybrid Flow Master📊 Hybrid Flow Master - Professional Trading Indicator
Overview
Hybrid Flow Master is an advanced all-in-one trading indicator that combines Smart Money Concepts, institutional order flow analysis, and multi-timeframe confluence scoring to identify high-probability trade setups. Designed for both scalpers and swing traders across all markets (Forex, Crypto, Stocks, Indices).
🎯 Key Features
1. Intelligent Confluence System (0-100% Scoring) Proprietary scoring algorithm that weighs multiple factors Only signals when minimum confidence threshold is met
Real-time probability calculations for each setup Signal quality grading: A+, A, B, C ratings
2. Smart Money Concepts (SMC)
Automatic Order Block detection (bullish/bearish) Fair Value Gap (FVG) identification
Market structure analysis (Higher Highs, Lower Lows) Swing high/low tracking with visual markers
3. Multi-Timeframe Analysis
Higher timeframe trend filter for confluence Customizable HTF periods (1H, 4H, Daily, etc.)
Prevents counter-trend trades Aligns entries with major trends
4. Volume Flow Analysis
Volume spike detection with customizable thresholds Volume delta calculations (buying vs selling pressure) Institutional footprint identification Background highlighting for high-volume bars
5. Advanced Risk Management
ATR-based stop loss calculation Automatic take profit levels Customizable risk/reward ratios (1:1, 1:2, 1:3+) Visual SL/TP lines on chart Position sizing guidance
6. Professional Dashboard
Real-time HUD displaying:
Market bias (Bullish/Bearish/Neutral)
Higher timeframe trend status
Current confluence percentage
Volume status (Normal/High)
RSI reading with color coding
ATR volatility measure
Signal quality grade
7. Smart Alert System
Bullish confluence signals
Bearish confluence signals
Volume spike notifications
Customizable alert messages
Works with mobile app notifications
📈 What Makes It Unique?
✅ No Repainting - All signals are confirmed and final
✅ Probability-Based - Shows confidence level, not just binary signals
✅ Multi-Factor Confluence - Combines structure, volume, momentum, and HTF analysis
✅ Clean Interface - Toggle individual components on/off
✅ Works on All Timeframes - From 1-minute scalping to daily swing trading
✅ Universal Markets - Forex, Crypto, Stocks, Indices, Commodities
🎨 Customization Options
Adjustable swing detection length
Volume threshold settings
Minimum confluence score filter
Custom color schemes
Dashboard position (4 corners)
Show/hide individual components
Risk/reward ratio adjustment
ATR multiplier for stops
📊 Best Used For:
✔️ Scalping (1m - 15m charts)
✔️ Day Trading (15m - 1H charts)
✔️ Swing Trading (4H - Daily charts)
✔️ Trend Following
✔️ Reversal Trading
✔️ Breakout Trading
💡 How to Use:
Add indicator to chart - Works immediately with default settings Set your timeframe - Choose your trading style Wait for signals - Green BUY or Red SELL labels with confidence %
Check confluence score - Higher % = better quality setup Review dashboard - Confirm market bias and HTF trend Manage risk - Use provided SL/TP levels or adjust to your preference
Set alerts - Get notified of high-probability setups
⚙️ Recommended Settings:
For Scalping (1m-5m):
Swing Length: 5-7
Min Confluence: 70%
HTF: 15m or 1H
For Day Trading (15m-1H):
Swing Length: 10-15
Min Confluence: 60%
HTF: 4H or Daily
For Swing Trading (4H-Daily):
Swing Length: 15-20
Min Confluence: 50-60%
HTF: Weekly
📚 Indicator Components:
✦ Market Structure Detection
✦ Order Block Identification
✦ Fair Value Gaps (FVG)
✦ Volume Analysis
✦ RSI (14)
✦ MACD (12, 26, 9)
✦ ATR (14)
✦ Multi-Timeframe Trend
✦ Confluence Scoring Algorithm
🚀 Performance Notes:
Optimized for speed and efficiency Minimal CPU usage Clean chart presentation
Limited drawing objects (no chart clutter) Works on all TradingView plans
⚠️ Important Notes:
This indicator is a tool to assist trading decisions, not financial advice Always use proper risk management (1-2% per trade recommended) Backtest on your preferred market and timeframe
Combine with your own analysis and strategy Past performance does not guarantee future results
🔔 Alert Setup:
Right-click indicator name → "Add Alert" → Choose:
"Bullish Confluence Signal" for buy setups
"Bearish Confluence Signal" for sell setups
"Volume Spike Alert" for unusual activity
💬 Support:
For questions, suggestions, or custom modifications, feel free to message me directly through TradingView.
Fibonacci Degree System This Pine Script creates a sophisticated technical analysis tool that combines Fibonacci retracements with a degree-based cycle system. Here's a comprehensive breakdown:
Core Concept
The indicator maps price movements onto a 360-degree circular framework, treating market cycles like geometric angles. It creates a visual "mesh" where Fibonacci ratios intersect in both price (horizontal) and time (vertical) dimensions.
How It Works
1. Finding Reference Points
The script looks back over a specified period (default 100 bars) to identify:
Highest High: The peak price point
Lowest Low: The trough price point
Time Locations: Exactly which bars these extremes occurred on
These two points form the boundaries of your analysis window.
2. Creating the Fibonacci Grid
Horizontal Lines (Price Levels):
The script divides the price range between high and low into seven key Fibonacci ratios:
0% (Low) - Bottom boundary in red
23.6% - Minor retracement in orange
38.2% - Shallow retracement in yellow
50% - Midpoint in lime green
61.8% - Golden ratio in aqua (most significant)
78.6% - Deep retracement in blue
100% (High) - Top boundary in purple
Each line represents a potential support/resistance level where price might react.
Vertical Lines (Time Cycles):
The same Fibonacci ratios are applied to the time dimension between the high and low bars. If your high and low are 50 bars apart, vertical lines appear at:
Bar 0 (0%)
Bar 12 (23.6%)
Bar 19 (38.2%)
Bar 25 (50%)
Bar 31 (61.8%)
Bar 39 (78.6%)
Bar 50 (100%)
These suggest when price might make significant moves.
3. The Degree Mapping System
The innovative feature maps the time progression to degrees:
0° = Start point (0% time)
85° = 23.6% through the cycle
138° = 38.2% through the cycle
180° = Midpoint (50%)
222° = 61.8% through the cycle (golden angle)
283° = 78.6% through the cycle
360° = Complete cycle (100%)
This treats market movements as circular patterns, similar to how planets orbit or pendulums swing.
Visual Output
When you apply this indicator, you'll see:
A rectangular mesh extending beyond your high-low range (by 150% default)
Color-coded horizontal lines showing price Fibonacci levels
Matching vertical lines showing time Fibonacci intervals
Price labels on the right showing percentage levels
Degree labels at the bottom showing the angular position in the cycle
Intersection points creating a grid of potentially significant price-time coordinates
Trading Application
Traders use this to identify:
Support/Resistance Zones: Where horizontal and vertical lines intersect
Time Targets: When price might reverse (at vertical Fibonacci times)
Cycle Completion: When approaching 360°, a new cycle may begin
Harmonic Patterns: Geometric relationships between price and time
Customization Features
The script offers extensive control:
Lookback period: Adjust cycle length (10-500 bars)
Mesh extension: How far to project the grid forward
Visual toggles: Show/hide horizontal lines, vertical lines, labels
Styling: Line thickness, style (solid/dashed/dotted), colors
Label positioning: Fine-tune text placement for readability
The intersection at 61.8% time and 61.8% price at 222° becomes a key target zone.
This tool essentially converts the abstract concept of market cycles into a concrete, visual geometric framework that traders can analyze and act upon.
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.
No guarantee of profits: Past performance and theoretical models do not guarantee future results. Trading and investing involve substantial risk of loss.
Not a recommendation: This script illustration does not constitute a recommendation to buy, sell, or hold any financial instrument.
Do your own research: Always conduct thorough independent research and consider consulting with a qualified financial advisor before making any trading decisions.
Futures Momentum Scanner – jyoti//@version=5
indicator("Futures Momentum Scanner – Avvu Edition", overlay=false, max_lines_count=500)
//------------------------------
// USER INPUTS
//------------------------------
rsiLen = input.int(14, "RSI Length")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
stLength = input.int(10, "Supertrend Length")
stMult = input.float(3.0, "Supertrend Multiplier")
//------------------------------
// SUPER TREND
//------------------------------
= ta.supertrend(stMult, stLength)
trendUp = stDirection == 1
//------------------------------
// RSI
//------------------------------
rsi = ta.rsi(close, rsiLen)
rsiBull = rsi > 50 and rsi < 65
//------------------------------
// MACD
//------------------------------
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBull = macd > signal and macd > 0
//------------------------------
// MOVING AVERAGE TREND
//------------------------------
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendStack = ema20 > ema50 and ema50 > ema200
//------------------------------
// BREAKOUT LOGIC
//------------------------------
prevHigh = ta.highest(high, 20)
breakout = close > prevHigh
//------------------------------
// FINAL SCANNER LOGIC
//------------------------------
bullishCandidate = trendUp and rsiBull and macdBull and trendStack and breakout
//------------------------------
// TABLE OUTPUT FOR SCANNER FEEL
//------------------------------
var table t = table.new(position.top_right, 1, 1)
if barstate.islast
msg = bullishCandidate ? "✔ BUY Candidate" : "– Not a Setup"
table.cell(t, 0, 0, msg, bgcolor=bullishCandidate ? color.new(color.green, 0) : color.new(color.red, 70))
//------------------------------
// ALERT
//------------------------------
alertcondition(bullishCandidate, title="Scanner Trigger", message="This stock meets Avvu's futures scanner criteria!")
