EMA Crossover + Angle + Candle Pattern + Breakout (Clean)+mrit uses 9 15 ema startegy with angle and candle also candle used are pin bar , hammer, full body
在腳本中搜尋"机械革命无界15+时不时闪屏"
mayank raj indicatorit uses 9 and 15 ema strategy with angle so that u dont enter in sideways market also the candle entries are hmmer,pinbar,fullbody
Keltner Hull Suite [QuantAlgo]🟢 Overview
The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes.
🟢 How It Works
The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness:
hullMA = ta.hma(priceSource, hullPeriod)
The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process:
tr = ta.tr(true)
smoothTR = ta.ema(tr, keltnerPeriod)
doubleSmooth = ta.ema(smoothTR, keltnerPeriod)
deviation = doubleSmooth * keltnerMultiplier
Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation:
upperBound = hullMA + deviation
lowerBound = hullMA - deviation
The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
longSignal = trendState == 1 and trendState != 1
shortSignal = trendState == -1 and trendState != -1
The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction.
🟢 How to Use This Indicator
▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment.
▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions.
▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration.
▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring.
▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI
OVERVIEW
The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones.
The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable.
THE THEORY
Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change.
Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency.
This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree:
Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy.
Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt.
Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy.
When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition.
HOW IT CHANGES THE STOCHASTIC RSI
Standard Stochastic RSI:
1. Calculate RSI with fixed period (14 bars)
2. Apply Stochastic formula over fixed period (14 bars)
3. Smooth with fixed periods
Ehlers Enhanced Cycle Stochastic RSI:
1. Detect dominant cycle using three methods
2. Confirm cycle measurement (methods must agree)
3. Calculate RSI with period scaled to the detected cycle
4. Apply Stochastic formula with cycle-scaled lookback
5. Smooth adaptively
The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws.
The Period Multipliers let you fine-tune this relationship:
• 1.0 = Use the full detected cycle (smoother, fewer signals)
• 0.5 = Use half the cycle (more responsive, catches turns earlier)
INTERPRETATION
Reading the Oscillator:
• K Line (Blue) — The main signal line. Moves between 0 and 100.
• D Line (Orange) — Smoothed version of K. Use for confirmation.
• Above 80 — Overbought. Momentum stretched to upside.
• Below 20 — Oversold. Momentum stretched to downside.
• Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish.
Spectral Dilation (optional):
When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for:
• Very noisy instruments
• Lower timeframes
• When confidence stays persistently low
ZLSMA Cross ATR Targets - Enhanced Trading StrategyZLSMA Cross ATR Targets - Enhanced Trading Strategy
📊 Overview
This indicator combines Zero-Lag Least Squares Moving Average (ZLSMA) crossover signals with ATR-based dynamic risk management to provide precise entry and exit points. Unlike standard moving average crossovers, this system uses a zero-lag implementation to reduce signal delays and incorporates multi-timeframe analysis for improved accuracy.
🎯 What Makes This Script Unique
1. Zero-Lag LSMA Implementation:
Uses a dual-smoothing technique: 2 * SMA(price, length) - SMA(SMA(price, length), length)
This eliminates the typical lag found in standard moving averages
Provides faster reaction to price changes while maintaining smoothness
2. Multi-Timeframe Signal Generation:
Analyzes price action on a higher timeframe (default: 15-min) regardless of chart timeframe
Reduces noise and false signals common in single-timeframe systems
All calculations (ZLSMA, ATR, close price) are synchronized to the signal timeframe
3. Dynamic ATR-Based Risk Management:
Stop Loss: Automatically calculated using ATR multiplier (default: 1.0x)
Take Profit 1: First target at 1.5x ATR (adjustable)
Take Profit 2: Extended target at 3.0x ATR (adjustable)
Risk-Reward ratios are displayed on each trade label for transparency
4. Optional Signal Filters:
Trend Filter: Uses 200 EMA to filter trades - only buys above, sells below (optional)
Volatility Filter: Ensures minimum ATR % to avoid low-volatility false signals (optional)
Both filters can be independently toggled on/off
5. Real-Time Performance Tracking:
Automatically tracks completed trades (TP1, TP2, or SL hits)
Calculates win rate, total P/L, and average P/L per trade
Live P/L displayed for current open position
Performance-based color coding (Green/Blue/Orange/Red)
🔧 How It Works
Signal Generation:
BUY Signal: Triggered when price crosses above ZLSMA on the signal timeframe
SELL Signal: Triggered when price crosses below ZLSMA on the signal timeframe
If filters are enabled, signals are validated against trend direction and volatility conditions
Trade Execution:
Entry price is locked at the close of the crossover bar
SL, TP1, and TP2 are calculated using the ATR value from the signal timeframe
Horizontal lines extend into the future (default: 240 bars) for visual clarity
Labels display all trade parameters including risk-reward ratios
Position Management:
System monitors each bar to detect if price hits SL, TP1, or TP2
Once a target is hit, the trade is marked as complete and statistics update
"Show Only Latest Trade" toggle cleans up historical signals for chart clarity
📈 How to Use
Settings:
Signal Timeframe: Timeframe for ZLSMA and ATR calculations (higher = fewer signals)
ZLSMA Length: Lookback period (100 default, lower = more responsive)
ATR Length: Period for volatility measurement (14 default)
SL/TP Multipliers: Adjust risk-reward profile to your trading style
Filters: Enable/disable trend and volatility filters as needed
Dashboard:
Fixed position (top-right corner) shows:
Current trade status and live P/L
Entry, SL, TP1, TP2 prices
Total performance statistics
Strategy settings summary
Alerts:
Enable alerts in settings to receive notifications on new signals
Each alert includes full trade details (Entry, SL, TP1, TP2)
⚙️ Why This Combination Works
The mashup of ZLSMA, multi-timeframe analysis, ATR-based targets, and optional filters creates a complete trading system:
ZLSMA provides faster signals than traditional moving averages
Higher timeframe reduces noise and improves signal quality
ATR-based targets adapt to current market volatility (no fixed pip targets)
Trend filter keeps you aligned with the bigger picture
Volatility filter avoids choppy, low-conviction setups
Performance tracking allows data-driven strategy optimization
This is not just a combination of existing indicators—it's a complete risk-managed trading framework with built-in analytics.
⚠️ Risk Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
MTFToolkit-LibraryLibrary "MTFToolkit"
Multi-Timeframe Utilities Library: conversions, Fibonacci, TF sorting, MTF helpers, color gradients, demo table
timeframeToMinutes(tf)
Converts a timeframe string to minutes
Parameters:
tf (string) : Timeframe string (e.g., "1", "15", "1D", "1W", "1M")
Returns: Number of minutes as float
minutesToTimeframe(minutes)
Converts minutes to a timeframe string
Parameters:
minutes (float) : Number of minutes
Returns: Timeframe string
timeframeToSeconds(tf)
Converts a timeframe string to seconds
Parameters:
tf (string) : Timeframe string
Returns: Number of seconds
secondsToTimeframe(seconds)
Converts seconds to a timeframe string
Parameters:
seconds (float) : Number of seconds
Returns: Timeframe string
fiboGenerate(n)
Generates Fibonacci sequence up to n elements
Parameters:
n (int) : Number of elements
Returns: Array of Fibonacci numbers
fiboMapToTV(arrFibo)
Maps Fibonacci values to TradingView timeframe strings
Parameters:
arrFibo (array) : Array of Fibonacci numbers
Returns: Array of timeframe strings
arrayMergeUnique(arr1, arr2)
Merges two string arrays and keeps unique values
Parameters:
arr1 (array) : First array
arr2 (array) : Second array
Returns: Merged array with unique strings
arrayFilterMax(arr, maxMinutes)
Filters TF array by max minutes
Parameters:
arr (array) : Array of timeframe strings
maxMinutes (float) : Maximum allowed minutes
Returns: Filtered array
arraySortTF(tf_array, show_array, ascending)
Sorts TF array by minutes, optionally ascending
Parameters:
tf_array (array) : Array of timeframes
show_array (array) : Array of bool flags (for visibility)
ascending (bool)
masterTF(arr)
Returns the largest TF from array (master)
Parameters:
arr (array) : Array of TF strings
Returns: Master TF
slaveTF(arr)
Returns all TFs except master (slaves)
Parameters:
arr (array) : Array of TF strings
Returns: Array of slave TFs
isTFIncreasing(prevTF, nextTF)
Checks if next TF is larger than previous
Parameters:
prevTF (string) : Previous timeframe
nextTF (string) : Next timeframe
Returns: true if nextTF > prevTF
TFScore(values)
Computes simple average as score
Parameters:
values (array) : Array of float
Returns: Simple average (na if empty)
gradient_triangular(value, mid_point, min_color, mid_color, max_color)
Produces a triangular gradient between 3 colors
Parameters:
value (float) : Current value (0–100 or any scale)
mid_point (float) : Center point of gradient
min_color (color) : Color at low end
mid_color (color) : Color at midpoint
max_color (color) : Color at high end
Returns: A color value
TFColorGradient(tf_val, min_val, max_val)
Timeframe color gradient helper
Converts a timeframe (in minutes) into a color using a
red → yellow → green gradient.
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum expected minutes
max_val (float) : Maximum expected minutes
Returns: Color based on position between min_val and max_val
------------------------------------------------------------
TFColorGradientEx(tf_val, min_val, mid_val, max_val, low_color, mid_color, high_color)
Extended customizable timeframe gradient
Parameters:
tf_val (float) : Timeframe value in minutes
min_val (float) : Minimum minutes
mid_val (float) : Middle minutes
max_val (float) : Maximum minutes
low_color (color) : Color at min_val
mid_color (color) : Color at mid_val
high_color (color) : Color at max_val
Returns: Color determined by TF position
------------------------------------------------------------
demoTable(tf_arr, show_arr, dashboard_position, horizontal_table, show_header)
Creates a demo table for testing TF arrays
Parameters:
tf_arr (array) : Array of TF strings
show_arr (array) : Array of bools to show TFs
dashboard_position (string) : Position string
horizontal_table (bool) : true=horizontal, false=vertical
show_header (bool) : Show header row
[CT] ATR Ratio MTFThis indicator is an enhanced, multi-timeframe version of the original “ATR ratio” by RafaelZioni. Huge thanks to RafaelZioni for the core concept and base logic. The script still combines an ATR-based ratio (Z-score style reading of where price sits within its recent ATR envelope) with an ATR Supertrend, but expands it into a more flexible trade-decision and visual context tool.
The ATR ratio is normalized so you can quickly see when price is pressing into extended bullish or bearish territory, while the Supertrend defines directional bias and a dynamic support-resistance trail. You can choose any higher timeframe in the settings, allowing you to run the ATR ratio and Supertrend from a larger anchor timeframe while trading on a lower chart.
Upgrades include a full Pine Script v6 rewrite, multi-timeframe support for both the ATR ratio and Supertrend, user-controlled colors for the Supertrend in bull and bear modes, and optional bar coloring so price bars automatically reflect Supertrend direction. Entry, pyramiding and take-profit logic from the original script are preserved, giving you a familiar framework with more control over timeframe, visuals and trend bias.
This indicator is designed to give you a clean directional framework that blends volatility, trend, and timing into one view. The ATR ratio side of the script shows you where price sits inside a recent ATR-based envelope. When the ATR ratio pushes up and sustains above the bullish threshold, it signals that price is trading in an extended, momentum-driven zone relative to recent volatility. When it drops and holds below the bearish threshold, it shows the opposite: sellers have pushed price down into an extended bearish zone. The optional background coloring simply makes these bullish and bearish environments easier to see at a glance.
On top of that, the Supertrend and bar colors tell you what side of the market to favor. The Supertrend is calculated from ATR on whatever timeframe you choose in the settings. If you set the MTF input to a higher timeframe, the Supertrend and ATR ratio become your higher time frame bias while you trade on a lower chart. When price is above the MTF Supertrend, the line uses your bullish color and, if bar coloring is enabled, candles adopt your bullish bar color. That is your “long only” environment: you generally look for buys when price is above the Supertrend and the ATR ratio is either turning up from neutral or already in a bullish zone. When price is below the MTF Supertrend, the line uses your bearish color and candles can shift to your bearish bar color; that is where you focus on shorts, especially when the ATR ratio is rolling over or holding in the bearish zone.
The built-in long and short conditions are meant as signal prompts, not rigid rules. Long signals fire when the ATR ratio crosses up through a positive level while the Supertrend is bullish. Short signals fire when the ATR ratio crosses down through a negative level while the Supertrend is bearish. The script tracks how many longs or shorts have been taken in sequence (pyramiding) and will only allow a new signal up to the limit you set, so you can control how aggressively you stack positions in a trend. The take-profit logic then watches the percentage move from your last entry and flags “TP” when that move has reached your take-profit percent, helping you standardize exits instead of eyeballing them bar by bar.
In practice you typically start by choosing your anchor timeframe for the MTF setting, for example a 1-hour or 4-hour Supertrend and ATR ratio while watching a 5-minute or 15-minute chart. You then use the Supertrend direction and bar colors as your bias filter, only taking signals in the direction of the trend, and you use the ATR ratio behavior to judge whether you are entering into strength, fading an extreme, or trading inside a neutral consolidation. Over time this gives you a consistent way to answer three questions on every chart: which side am I allowed to trade, how extended is price within its recent volatility, and where are my structured entries and exits based on that framework.
4/8/15 E/20 EMA + Daily Pivot S/RThese are your intraday EMA's and levels/pivots you need to read the room.
EMA Crossover + Angle + Candle Pattern + Breakout (Clean) finalmayank raj startegy of 9 15 ema with angle more th5 and bullish croosover or bearish crooswoveran 3
EMA Crossover + Angle + Candle Pattern + Breakout (Clean) finalmayank raj 9 15 ema strategy which will give me 1 crore
MTF RSI + MACD Bullish Confluencethis based on rsi more then 50 and macd line bullish crossover or above '0' and time frame 15 min, 1 hour, 4 hour , 1 day and 1 week
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
═══════════════════════════════════════════════════════════════
📊 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
═══════════════════════════════════════════════════════════════
🎯 CORE FEATURES
═══════════════════════════════════════════════════════════════
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
═══════════════════════════════════════════════════════════════
📖 HOW TO USE THIS INDICATOR
═══════════════════════════════════════════════════════════════
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
═══════════════════════════════════════════════════════════════
⚙️ RECOMMENDED SETTINGS
═══════════════════════════════════════════════════════════════
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
═══════════════════════════════════════════════════════════════
🎓 UNDERSTANDING THE METHODOLOGY
═══════════════════════════════════════════════════════════════
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.
═══════════════════════════════════════════════════════════════
🔔 ALERT SETUP
═══════════════════════════════════════════════════════════════
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
Mark Minervini SEPA - Balanced
📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE
🚀 WHAT IS THIS INDICATOR?
This is a professional swing trading indicator based on Mark Minervini's famous
Trend Template strategy. It automatically identifies high-probability setups where:
✅ Long-term trend is BULLISH (confirmed by moving averages)
✅ Stock is OUTPERFORMING the market (relative strength improving)
✅ Price is CONSOLIDATING (forming a base for breakout)
✅ Volume is CONFIRMING (volume spike on breakout)
Result: CLEAR BUY SIGNALS when everything aligns! 🎯
🎨 WHAT YOU SEE ON YOUR CHART
1️⃣ FOUR MOVING AVERAGE LINES:
🟠 Orange Line (MA 20) = Short-term trend
🔵 Blue Line (MA 50) = Intermediate trend
🟢 Green Line (MA 150) = Long-term trend
🔴 Red Line (MA 200) = Very long-term trend
IDEAL: All lines stacked in order (Orange > Blue > Green > Red)
2️⃣ BACKGROUND COLOR:
🟢 GREEN background = Trend template is VALID (bullish setup ready)
🔴 RED background = Trend template is BROKEN (avoid trading)
3️⃣ DASHBOARD PANEL (Top-Right):
Real-time checklist showing:
✓ 6 core trend template rules
✓ Relative strength status
✓ VCP base quality
✓ Stage classification (S1/S2/S3/S4)
✓ Volume breakout status
4️⃣ VCP BASE BOXES (Blue Rectangles):
Shows where consolidation is happening
This is your potential entry zone
5️⃣ BUY SIGNAL LABEL (Green Text Below Candle):
Green "BUY" label appears when ALL criteria are met
This is your strongest entry signal
6️⃣ STOP LOSS LINE (Red Dashed Line):
Shows your stop loss level (base low)
📖 HOW TO USE - STEP BY STEP
STEP 1: ADD INDICATOR TO CHART
────────────────────────────────
1. Open TradingView chart
2. Click "Indicators" (top toolbar)
3. Search "Minervini SEPA Balanced"
4. Click to add to your chart
5. Use DAILY (1D) timeframe for swing trading
STEP 2: CHECK THE DASHBOARD (Top-Right Panel)
1. Look at all the checkmarks
2. Count how many are GREEN (✓)
3. Check Stage column - is it showing S2 or S1?
STEP 3: LOOK FOR SETUP PATTERNS
─────────────────────────────────
Ideal setup shows:
✓ Dashboard: 10+ criteria are GREEN
✓ Stage: S2 (green) or S1 (orange)
✓ Blue VCP box visible on chart (base forming)
✓ Moving averages aligned (50 > 150 > 200)
✓ Price above all moving averages
✓ Background is GREEN
STEP 4: WAIT FOR ENTRY SIGNAL
──────────────────────────────
Option A: BUY SIGNAL label appears
→ Green "BUY" label = ALL criteria met
→ ENTER at market price immediately
Option B: Setup looks good but no BUY label yet
→ Wait for price to break above blue VCP box
→ Volume should spike (1.3x or higher)
→ Then enter at breakout
STEP 5: PLACE YOUR TRADE
────────────────────────
📍 ENTRY: At breakout from VCP base
📍 STOP LOSS: Base low (red dashed line)
📍 TARGET: 20-30% move (typical Minervini target)
📍 HOLDING TIME: 2-4 weeks
🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS
Volume Multiplier: 1.3x (NOT 1.5x)
→ Original was too strict for Indian market
→ 1.3x is realistic and catches good breakouts
→ Results: 5-10 signals per stock per year (tradeable!)
Trend Template: Core 6 rules (NOT all 8)
→ Focuses on the most important rules
→ Still maintains quality, but more flexible
→ Works better with Indian stock behavior
Stage Allowed: S1 OR S2 (NOT just S2)
→ Catches earlier moves
→ Allows you to enter sooner
→ But maintains quality with other criteria
📊 DASHBOARD INDICATORS - WHAT EACH MEANS
TREND SECTION (Core 6 Rules):
─────────────────────────────
P>200 ✓ = Price above 200-day MA (long-term uptrend)
150>200 ✓ = MA150 above MA200 (MA alignment)
200↑ ✓ = MA200 trending up (uptrend accelerating)
50>150 ✓ = MA50 above MA150 (intermediate uptrend)
50>200 ✓ = MA50 above MA200 (overall alignment)
P>50 ✓ = Price above MA50 (pullback level intact)
RS STRENGTH SECTION:
───────────────────
RS↑ ✓ = Stock outperforming NIFTY index
✗ = Stock underperforming NIFTY (avoid)
VCP BASE SECTION:
────────────────
In Base ✓ = Consolidation zone detected
✗ = No consolidation yet
Vol Dry ✓ = Volume drying up (base tightening)
✗ = Normal volume (consolidation weak)
ENTRY SECTION:
──────────────
Stage S2 = GREEN (best for swing trading)
S1 = ORANGE (acceptable, early entry)
S3 = RED (avoid - distribution phase)
S4 = RED (avoid - downtrend)
Vol Brk ✓ = Volume confirmed breakout (1.3x+ average)
✗ = Weak volume (breakout likely to fail)
❌ WHEN NOT TO TRADE
SKIP if ANY of these are true:
❌ Background is RED (trend template broken)
❌ Stage is S3 or S4 (distribution or downtrend)
❌ Vol Brk is RED (volume not confirming)
❌ RS↑ is ORANGE/RED (stock underperforming market)
❌ Blue box is NOT visible (no base forming)
❌ Base is very loose/messy (not tight enough)
❌ Moving averages are not aligned
❌ Less than 8 GREEN criteria on dashboard
⚙️ CUSTOMIZATION GUIDE
Click ⚙️ gear icon next to indicator name to adjust settings:
VOLUME MULTIPLIER (Default: 1.3)
────────────────────────────────
Current: 1.3x = BALANCED for Indian stocks ✅
Change to 1.2x = MORE signals (more false breakouts)
Change to 1.4x = FEWER signals (very selective)
Change to 1.5x = ORIGINAL (too strict, rarely triggers)
RS BENCHMARK (Default: NSE:NIFTY)
─────────────────────────────────
Current: NSE:NIFTY = Large-cap stocks
Change to NSE:NIFTY500 = Mid-cap stocks
Change to NSE:NIFTYNXT50 = Small-cap stocks
MINIMUM BASE DAYS (Default: 20)
───────────────────────────────
Current: 20 days = 4 weeks consolidation ✅
Change to 15 = Shorter bases (more frequent signals)
Change to 25 = Longer bases (higher quality)
ATR% FOR TIGHTNESS (Default: 1.5)
──────────────────────────────────
Current: 1.5% = BALANCED ✅
Change to 1.0% = ONLY very tight bases
Change to 2.0% = Loose bases accepted
📈 REAL TRADING EXAMPLE
SCENARIO: Trading RELIANCE over 4 weeks
WEEK 1: Base Starts Forming
────────────────────────────
- Price consolidating around ₹1,500
- Dashboard: 5/14 criteria green
- Action: MONITOR (not ready yet)
WEEK 2: Base Tightens
─────────────────────
- Price still ₹1,500 (no movement)
- VCP box appearing on chart
- Dashboard: 8/14 criteria green
- Vol Dry: ✓ (volume shrinking - good!)
- Action: MONITOR (almost ready)
WEEK 3: Perfect Setup Formed
──────────────────────────────
- Base still ₹1,500
- Dashboard: 12/14 criteria GREEN ✓✓✓
- Stage: S2 ✓
- Blue box tight and clean
- Action: WAIT FOR BREAKOUT
WEEK 4: Breakout Happens!
──────────────────────────
- Price closes at ₹1,550 (breakout!)
- Volume: 1.6x average (exceeds 1.3x requirement)
- Dashboard: BUY SIGNAL ✓ (all criteria met)
- Action: ENTER TRADE
Entry: ₹1,550
Stop: ₹1,480 (base low)
Target: ₹1,850 (20% move)
RESULT: +19.4% profit in 2 weeks! ✅
💡 PRO TIPS FOR BEST RESULTS
1. USE DAILY (1D) CHARTS ONLY
Weekly charts = Fewer signals, slower moves
Daily charts = Best for swing trading ✅
Intraday charts = Too many false signals
2. SCAN MULTIPLE STOCKS
Don't just watch 1 stock
Scan 50-100 stocks daily
More stocks = More opportunities
3. WAIT FOR PERFECT ALIGNMENT
Don't enter on 8/14 criteria
Wait for 12+/14 criteria
This increases win rate significantly
4. VOLUME IS CRITICAL
Always check Vol Brk column
No volume = Likely to fail
1.3x+ volume = Good breakout
5. COMBINE WITH YOUR OWN ANALYSIS
Indicator gives technical signals
You add your own fundamental view
Strong fundamental + technical = Best trade
6. BACKTEST ON HISTORICAL DATA
Use TradingView Replay feature
Go back 6-12 months
See how many signals appeared
Verify which were profitable
7. KEEP A TRADING JOURNAL
Track entry, exit, profit/loss
Note what worked and what didn't
Continuous improvement!
⚠️ IMPORTANT DISCLAIMERS
✓ This indicator is for educational purposes only
✓ Past performance does not guarantee future results
✓ Always use proper risk management (position sizing, stop loss)
✓ Never risk more than 2% of your account on one trade
✓ Backtest thoroughly before using with real money
✓ The indicator provides technical signals, not investment advice
✓ Losses can occur - trade at your own risk
🎯 QUICK START CHECKLIST
Before entering ANY trade, verify:
□ Dashboard shows mostly GREEN (10+ criteria)
□ Stage = S2 (green) or S1 (orange)
□ Blue VCP box visible on chart
□ Price just broke above the box
□ Volume is high (1.3x+ average, Vol Brk = ✓)
□ Moving averages aligned (50 > 150 > 200)
□ RS is uptrending (RS↑ = ✓)
□ BUY SIGNAL label appeared (optional but strong confirmation)
ALL CHECKED? → READY TO BUY! 🚀
📞 FOR HELP & SUPPORT
Questions about the indicator?
→ Check the dashboard - each criterion has a specific meaning
→ Review this guide - answers most common questions
→ Backtest on historical data using TradingView Replay
→ Start with paper trading (no real money) first
🎓 LEARNING RESOURCES
To understand Mark Minervini's method better:
→ Read: "Trade Like a Stock Market Wizard" by Mark Minervini
→ Watch: TradingView educational videos on trend templates
→ Practice: Backtest this indicator on 6-12 months of historical data
→ Learn: Study successful traders who use similar strategies
GOOD LUCK WITH YOUR TRADING! 🚀📈
May your trends be bullish and your breakouts be explosive! 🎯
Visible RangeOverview This is a precision tool designed for quantitative traders and engineers who need exact control over their chart's visual scope. Unlike standard time calculations that fail in markets with trading breaks (like A-Shares, Futures, or Stocks), this indicator uses a loop-back mechanism to count the actual number of visible bars, ensuring your indicators (e.g., MA60, MA200) have sufficient sample data.
Why use this? If you use multi-timeframe layouts (e.g., Daily/Hourly/15s), it is critical to know exactly how much data is visible.
The Problem: In markets like the Chinese A-Share market (T+1, 4-hour trading day), calculating Time Range / Timeframe results in massive errors because it includes closed market hours (lunch breaks, nights, weekends).
The Solution: This script iterates through the visible range to count the true bar_index, providing 100% accurate data density metrics.
Key Features
True Bar Counting: Uses a for loop to count actual candles, ignoring market breaks. perfect for non-24/7 markets.
Integer Precision: Displays time ranges (Days, Hours, Mins, Secs) in clean integers. No messy decimals.
Compact UI: Displays information in a single line (e.g., View: 30 Days (120 Bars)), default to the Top Right corner to save screen space.
Fully Customizable: Adjustable position, text size, and colors to fit any dark/light theme.
Performance Optimized: Includes max_bars_back limits to prevent browser lag on deep history lookups.
Settings
Position: Default Top Right (can be moved to any corner).
Max Bar Count: Default 5000 (Safety limit for loop calculation).
new_youtube_strategy//@version=5
strategy("Dow + Homma 1m Scalper (15m filter)", overlay=true, margin_long=100, margin_short=100, initial_capital=10000)
//===== INPUTS =====
maLen = input.int(50, "Trend SMA Length", minval=5)
htf_tf = input.timeframe("15", "Higher TF")
priceTolPct = input.float(0.05, "SR tolerance %", step=0.01)
wickFactor = input.float(2.0, "Hammer/ShootingStar wick factor", step=0.1)
dojiThresh = input.float(0.1, "Doji body % of range", step=0.01)
risk_RR = input.float(2.0, "Reward:Risk", step=0.1)
capitalRiskPct = input.float(1.0, "Risk % of equity per trade", step=0.1)
//===== 1m TREND (SMA) =====
sma1 = ta.sma(close, maLen)
sma1Up = sma1 > sma1
sma1Down = sma1 < sma1
uptrend1 = close > sma1 and sma1Up
downtrend1 = close < sma1 and sma1Down
//===== 15m TREND VIA request.security =====
sma15 = request.security(syminfo.tickerid, htf_tf, ta.sma(close, maLen), lookahead=barmerge.lookahead_off)
sma15Up = sma15 > sma15
sma15Down = sma15 < sma15
uptrend15 = close > sma15 and sma15Up
downtrend15 = close < sma15 and sma15Down
//===== SWING HIGHS/LOWS (LOCAL EXTREMA) =====
var int left = 3
var int right = 3
swHigh = ta.pivothigh(high, left, right)
swLow = ta.pivotlow(low, left, right)
//===== SR FLIP LEVELS =====
var float srSupport = na
var float srResistance = na
// when a swing high is broken -> new support
if not na(swHigh)
if close > swHigh
srSupport := swHigh
// when a swing low is broken -> new resistance
if not na(swLow)
if close < swLow
srResistance := swLow
//===== CANDLE METRICS =====
body = math.abs(close - open)
cRange = high - low
upperW = high - math.max(open, close)
lowerW = math.min(open, close) - low
isBull() => close > open
isBear() => close < open
bullHammer() =>
cRange > 0 and
isBull() and
lowerW >= wickFactor * body and
upperW <= body
bearShootingStar() =>
cRange > 0 and
isBear() and
upperW >= wickFactor * body and
lowerW <= body
isDoji() =>
cRange > 0 and body <= dojiThresh * cRange
bullEngulfing() =>
isBear() and isBull() and
open <= close and close >= open
bearEngulfing() =>
isBull() and isBear() and
open >= close and close <= open
//===== SR PROXIMITY =====
tol = priceTolPct * 0.01 * close
nearSupport = not na(srSupport) and math.abs(close - srSupport) <= tol
nearResistance = not na(srResistance) and math.abs(close - srResistance) <= tol
//===== SIGNAL CONDITIONS =====
bullCandle = bullHammer() or isDoji() or bullEngulfing()
bearCandle = bearShootingStar() or isDoji() or bearEngulfing()
longTrendOK = uptrend1 and uptrend15
shortTrendOK = downtrend1 and downtrend15
longSignal = longTrendOK and nearSupport and bullCandle
shortSignal = shortTrendOK and nearResistance and bearCandle
//===== POSITION SIZING (IN RISK UNITS) =====
var float lastEquity = strategy.equity
riskCapital = strategy.equity * (capitalRiskPct * 0.01)
//===== ENTRY / EXIT PRICES =====
longStop = math.min(low, nz(srSupport, low))
longRisk = close - longStop
longTP = close + risk_RR * longRisk
shortStop = math.max(high, nz(srResistance, high))
shortRisk = shortStop - close
shortTP = close - risk_RR * shortRisk
// qty in contracts (approx; assumes price * qty ≈ capital used)
longQty = longRisk > 0 ? riskCapital / longRisk : 0.0
shortQty = shortRisk > 0 ? riskCapital / shortRisk : 0.0
//===== EXECUTION =====
if longSignal and longRisk > 0 and longQty > 0
strategy.entry("Long", strategy.long, qty=longQty)
strategy.exit("Long TP/SL", from_entry="Long", stop=longStop, limit=longTP)
if shortSignal and shortRisk > 0 and shortQty > 0
strategy.entry("Short", strategy.short, qty=shortQty)
strategy.exit("Short TP/SL", from_entry="Short", stop=shortStop, limit=shortTP)
//===== PLOTS =====
plot(sma1, color=color.orange, title="SMA 1m")
plot(sma15, color=color.blue, title="HTF SMA (15m)")
plot(srSupport, "SR Support", color=color.new(color.green, 50), style=plot.style_linebr)
plot(srResistance,"SR Resistance",color=color.new(color.red, 50), style=plot.style_linebr)
// Visual debug for signals
plotshape(longSignal, title="Long Signal", style=shape.triangleup, location=location.belowbar, color=color.lime, size=size.tiny)
plotshape(shortSignal, title="Short Signal", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny)
DANCE WITH WOLVES VN ALL TO 1DANCE WITH WOLVES VN is a smart-money volume indicator designed for stocks and crypto.
Main features:
• logic to detect Distribution, No Demand, Absorption and Exhaustion.
• Automatically builds smart Support/Resistance zones from high-volume price leaders.
• Regression trend channel to see the short-term trend and trading range.
• Dashboard table that shows the top high/low price bars with buy/sell volume and group labels.
• Alert conditions for Breakout above resistance and At Support Area so you don’t need to watch the chart all the time.
You can use it on any symbol and timeframe. Just add the script to your chart and follow the zones (red = resistance, green = support) together with the P/L labels and the status line.
Vietnamese note: Indicator dùng volume + để vẽ vùng hỗ trợ/kháng cự thông minh, label phân phối / hấp thụ / cạn lực bán và kênh xu hướng. Dùng được cho cả stock và crypto. tot nhat dung khung 5 den 15 phut
sabaribuysellThe KIRA EMA 9–21 + VWAP indicator is a simple, clean intraday trading tool designed to capture high-probability trend entries using a fast EMA crossover confirmed by VWAP direction.
BUY CONDITION:
EMA 9 crosses above EMA 21 AND price trades above VWAP.
SELL CONDITION:
EMA 9 crosses below EMA 21 AND price trades below VWAP.
Signals are shown directly on the chart with clear BUY and SELL labels.
Background colors highlight trade zones:
• Green = Buy Zone
• Red = Sell Zone
• Grey = No-Trade Zone
This strategy works best on intraday timeframes:
1 minute to 15 minute charts.
4H EMA 21/30 Cloud on 15mThis indicator displays the 4-hour EMA 21 and EMA 30 as a dynamic cloud directly on the 15-minute chart, providing a clean and reliable higher-timeframe trend filter for intraday and scalping setups.
The cloud turns:
Green when EMA21 > EMA30 → bullish HTF trend
Red when EMA21 < EMA30 → bearish HTF trend
Because the 4H EMA 21/30 combination tracks mid-term momentum and trend structure extremely well, this indicator helps traders avoid counter-trend trades, time pullbacks more effectively, and align entries with dominant higher-timeframe flow.
Perfect for traders using:
Price Action
FVG / Imbalance concepts
CHOCH/BOS structure
Liquidity-based models
ICT-style intraday execution
Use the 4H cloud as your HTF bias anchor, and execute trades using your own entry model on the 15m timeframe.
Gap-Up Momentum Screener (S.S)
ENGLISH-VERSION
1) TradingView Gap Screener (for US stocks)
➤ Conditions
Gap-Up ≥ +3% (large gaps indicate institutional pressure)
Pre-market volume ≥ 150% of the 20-day average
RS line > 50
Price > 50 SMA
Market cap ≥ 1 billion USD
No penny stocks
2) Minervini Gap-Entry Strategy (Swing Trading)
This is a variant specifically optimized for gaps + momentum.
A) Setup Criteria
The stock must meet the following conditions:
Gap-Up ≥ +3%
First retracement ≤ 30% of the gap
High relative strength (RS line rising)
Volume on the gap day > 2× average
Price above 20 EMA, 50 SMA, 150 SMA, 200 SMA
No immediate resistance within 2–5%
B) Entry Setups
Entry 1: First Pullback Entry (FPE)
Wait for the first 1–3 day consolidation.
Entry → Breakout of the small range.
Stop → Below the low of the pullback.
Rule: No entry on the gap day itself.
Entry 2: High Tight Flag above the Gap
Stock rises > 10% after the gap
Then forms a 3–8 day sideways phase
Entry → Break above the flag’s high
Stop → Below the flag base
Entry 3: ORB Entry (Opening Range Breakout, 30 minutes)
Very effective for strong gaps.
Wait 30 minutes after the market opens
Entry → Break above the high of these first 30 minutes
Stop → Below the 30-minute low
C) Stop Levels
For FPE: 4–8%
For ORB: 1–2 × ATR(14)
For flags: 3–5%
D) Add Rules
Only if the stock continues showing strong volume:
Add on every new 3–5 day high
Add only above half-range levels
Maximum 3 adds
3) Early-Warning Module (Setup forming but not ready for entry)
This module marks stocks that are forming a setup but are not yet buyable.
➤ Criteria
Gap-Up ≥ 3%
Strong volume
Stock pulls back and consolidates (1–5 bars)
BUT no breakout yet
4) Exact Entry Checklist (Minervini-style, optimized for gaps)
Checklist before entry:
Gap ≥ +3%
20 EMA rising
Volume > 2× average
RS line rising
Price > 50 SMA
Pullback not deeper than 30% of the gap
3+ green signals from the Early-Warning diamonds
If all 7 are fulfilled → green light.
5) How to apply the strategy in daily practice
Morning (08:00–09:00)
Check the screener
Build your watchlist
Identify gaps
US Market Open (15:30)
Monitor the Early-Warning module
Sort gap momentum opportunities
16:00–17:00
Enter: First Pullback / ORB / Flag
Set stops
Determine position size based on risk
After 20:00
Check volume strength
If momentum fades → no more adds
KIRA INVESTORS📈 KIRA MOMENTUM STRATEGY – BUY & SELL
Title: KIRA EMA 9–21 + VWAP
🟢 BUY RULE
EMA 9 crosses above EMA 21
Price closes above VWAP
🔴 SELL RULE
EMA 9 crosses below EMA 21
Price closes below VWAP
🚫 NO TRADE ZONE
EMAs tangled
Price chopping near VWAP
🎯 TIMEFRAMES & RISK
TF: 5–15 min
Stop-loss: Swing high / low
Risk ≤ 1% per trade
💡 WHY IT WORKS
EMA crossover → Trend direction
VWAP → Confirms institutional bias
Only trades strong momentum moves
