RSI with 3 Separate Smoothing AveragesRSI has 3 moving averages, to help trade better
RSI period can be adjusted
Moving average has multiple selections (SMA, EMA, HMA)
moving average cross over can be used as signal for trades
Trade at your own risk
Indicators and strategies
AlphaTrend_TC// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// author © KivancOzbilgic
// developer © KivancOzbilgic
// I'm just playing with it.... Jake Ryan
//@version=5
indicator('AlphaTrend', shorttitle='AT', overlay=true, format=format.price, precision=2, timeframe='')
coeff = input.float(1, 'Multiplier', step=0.1)
AP = input(14, 'Common Period')
ATR = ta.sma(ta.tr, AP)
src = input(close)
showsignalsk = input(title='Show Signals?', defval=true)
novolumedata = input(title='Change calculation (no volume data)?', defval=false)
upT = low - ATR * coeff
downT = high + ATR * coeff
AlphaTrend = 0.0
AlphaTrend := (novolumedata ? ta.rsi(src, AP) >= 50 : ta.mfi(hlc3, AP) >= 50) ? upT < nz(AlphaTrend ) ? nz(AlphaTrend ) : upT : downT > nz(AlphaTrend ) ? nz(AlphaTrend ) : downT
color1 = AlphaTrend > AlphaTrend ? #00E60F : AlphaTrend < AlphaTrend ? #80000B : AlphaTrend > AlphaTrend ? #00E60F : #80000B
k1 = plot(AlphaTrend, color=color.new(#0022FC, 0), linewidth=3)
k2 = plot(AlphaTrend , color=color.new(#FC0400, 0), linewidth=3)
fill(k1, k2, color=color1)
buySignalk = ta.crossover(AlphaTrend, AlphaTrend )
sellSignalk = ta.crossunder(AlphaTrend, AlphaTrend )
// Calculate Bollinger Bands around AlphaTrend
length = input(20, title="Bollinger Bands Length")
mult = input(2.0, title="Bollinger Bands Multiplier")
basis = ta.sma(AlphaTrend, length)
dev = mult * ta.stdev(AlphaTrend, length)
upperBand = basis + dev
lowerBand = basis - dev
// Plot Bollinger Bands
plot(upperBand, color=#2962FF, linewidth=1, title="Upper Bollinger Band")
plot(lowerBand, color=#2962FF, linewidth=1, title="Lower Bollinger Band")
// Rest of the code remains the same for generating signals and plotting arrows
K1 = ta.barssince(buySignalk)
K2 = ta.barssince(sellSignalk)
O1 = ta.barssince(buySignalk )
O2 = ta.barssince(sellSignalk )
plotshape(buySignalk and showsignalsk and O1 > K2 ? AlphaTrend * 0.9999 : na, title='BUY', text='BUY', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(#0022FC, 0), textcolor=color.new(color.white, 0))
plotshape(sellSignalk and showsignalsk and O2 > K1 ? AlphaTrend * 1.0001 : na, title='SELL', text='SELL', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(color.maroon, 0), textcolor=color.new(color.white, 0))
alertcondition(buySignalk and O1 > K2, title='Potential BUY Alarm', message='BUY SIGNAL!')
alertcondition(sellSignalk and O2 > K1, title='Potential SELL Alarm', message='SELL SIGNAL!')
alertcondition(buySignalk and O1 > K2, title='Confirmed BUY Alarm', message='BUY SIGNAL APPROVED!')
alertcondition(sellSignalk and O2 > K1, title='Confirmed SELL Alarm', message='SELL SIGNAL APPROVED!')
alertcondition(ta.cross(close, AlphaTrend), title='Price Cross Alert', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low, AlphaTrend), title='Candle CrossOver Alarm', message='LAST BAR is ABOVE ALPHATREND')
alertcondition(ta.crossunder(high, AlphaTrend), title='Candle CrossUnder Alarm', message='LAST BAR is BELOW ALPHATREND!')
alertcondition(ta.cross(close , AlphaTrend ), title='Price Cross Alert After Bar Close', message='Price - AlphaTrend Crossing!')
alertcondition(ta.crossover(low , AlphaTrend ), title='Candle CrossOver Alarm After Bar Close', message='LAST BAR is ABOVE ALPHATREND!')
alertcondition(ta.crossunder(high , AlphaTrend ), title='Candle CrossUnder Alarm After Bar Close', message='LAST BAR is BELOW ALPHATREND!')
//from AlphaTrend
Global J-1 & W-1 Levels (Fixed Lines / Lignes Fixes)Description
This indicator automatically plots key price levels from the previous day (D-1) and the previous week (W-1). It is designed for Day Traders and Scalpers who need clear visual references without cluttering their chart with past history.
Unlike standard indicators that use plot() and create "step-like" lines, this script uses graphic objects (line.new) to display fixed, infinite horizontal lines, just as if you had drawn them manually.
Key Features:
D-1 Levels (Blue): Previous Day High (DR-1) and Low (DS-1).
W-1 Levels (Red): Previous Week High (WR-1) and Low (WS-1).
Clean Chart: Lines are displayed only for the current session. No historical clutter.
Readability: Dashed lines with level names and exact prices displayed on the right.
How to use it? These levels often act as institutional support and resistance. Watch for price reactions (bounces or breakouts) near these zones to confirm your trade entries.
Sistema Neutro GOULART HUD Regime Radar ORB VWAPSistema Neutro GOULART is an advanced visual trading indicator that integrates:
• A unified HUD displaying session status, ORB, VWAP, risk and market bias
• A Regime Radar heatmap (GO / WAIT / NO) designed to provide clarity without chart clutter
• ORB with straight daily lines and a clean zone limited to the current session
• Direction filtering using VWAP and VWAP slope
• Condition assessment based on risk and overall market context
• A harmonized visual design focused on objective decision-making
⚠️ This indicator does NOT generate trade signals.
It provides market context, regime classification, and quality assessment to support discretionary trading decisions.
Ideal for:
• Futures markets (ES, NQ, YM)
• Day trading using ORB + VWAP
• Traders who prioritize context, discipline, and structure over signals
For educational purposes only.
Multi-Timeframe 5 Moving Averages//@version=5
indicator("Multi-Timeframe 5 Moving Averages", shorttitle="MTF MA x5", overlay=true)
// ============== MOVING AVERAGE 1 ==============
ma1_enabled = input(true, title="Enable MA1", group="Moving Average 1")
ma1_period = input.int(9, title="MA1 Period", minval=1, group="Moving Average 1")
ma1_type = input.string("EMA", title="MA1 Type", options= , group="Moving Average 1")
ma1_color = input(color.new(#FF6B35, 0), title="MA1 Color", group="Moving Average 1")
// ============== MOVING AVERAGE 2 ==============
ma2_enabled = input(true, title="Enable MA2", group="Moving Average 2")
ma2_period = input.int(20, title="MA2 Period", minval=1, group="Moving Average 2")
ma2_type = input.string("EMA", title="MA2 Type", options= , group="Moving Average 2")
ma2_color = input(color.new(#004E89, 0), title="MA2 Color", group="Moving Average 2")
// ============== MOVING AVERAGE 3 ==============
ma3_enabled = input(true, title="Enable MA3", group="Moving Average 3")
ma3_period = input.int(50, title="MA3 Period", minval=1, group="Moving Average 3")
ma3_type = input.string("SMA", title="MA3 Type", options= , group="Moving Average 3")
ma3_color = input(color.new(#F7931E, 0), title="MA3 Color", group="Moving Average 3")
// ============== MOVING AVERAGE 4 ==============
ma4_enabled = input(true, title="Enable MA4", group="Moving Average 4")
ma4_period = input.int(100, title="MA4 Period", minval=1, group="Moving Average 4")
ma4_type = input.string("SMA", title="MA4 Type", options= , group="Moving Average 4")
ma4_color = input(color.new(#1E88E5, 0), title="MA4 Color", group="Moving Average 4")
// ============== MOVING AVERAGE 5 ==============
ma5_enabled = input(true, title="Enable MA5", group="Moving Average 5")
ma5_period = input.int(200, title="MA5 Period", minval=1, group="Moving Average 5")
ma5_type = input.string("EMA", title="MA5 Type", options= , group="Moving Average 5")
ma5_color = input(color.new(#43A047, 0), title="MA5 Color", group="Moving Average 5")
// ============== FUNCTION TO CALCULATE MA ==============
calcMA(period, maType, source) =>
switch maType
"SMA" => ta.sma(source, period)
"EMA" => ta.ema(source, period)
"WMA" => ta.wma(source, period)
=> ta.sma(source, period)
// ============== CALCULATE MOVING AVERAGES (CHART TIMEFRAME ONLY) ==============
ma1_value = calcMA(ma1_period, ma1_type, close)
ma2_value = calcMA(ma2_period, ma2_type, close)
ma3_value = calcMA(ma3_period, ma3_type, close)
ma4_value = calcMA(ma4_period, ma4_type, close)
ma5_value = calcMA(ma5_period, ma5_type, close)
// ============== PLOT MOVING AVERAGES ==============
plot(ma1_enabled ? ma1_value : na, title="MA1", color=ma1_color, linewidth=2)
plot(ma2_enabled ? ma2_value : na, title="MA2", color=ma2_color, linewidth=2)
plot(ma3_enabled ? ma3_value : na, title="MA3", color=ma3_color, linewidth=2)
plot(ma4_enabled ? ma4_value : na, title="MA4", color=ma4_color, linewidth=2)
plot(ma5_enabled ? ma5_value : na, title="MA5", color=ma5_color, linewidth=2)
Zone Eleven HTF Gate SweepThis indicator is designed as a simple visual framework rather than a rigid signal system. It highlights time-based structure and key alignment zones to help identify when price behavior is more likely to be active or responsive. The logic is intentionally flexible, allowing the user to apply their own discretion instead of relying on strict conditions. Its primary value is visual clarity and context, not automatic entries or exits.
Pivot point moving averagesPivot Point Moving Averages builds moving averages from confirmed pivots, not from every bar.
Instead of averaging all highs and lows, this script:
Detects swing pivot highs and pivot lows using a configurable Pivot length (pivotLen).
Converts these sparse pivot prices into continuous series of:
last confirmed pivot low
last confirmed pivot high
Applies a user-selectable moving average (SMA / EMA / RMA / WMA / VWMA) to each of those pivot series.
Plots the two resulting lines and shades the area between them as a pivot value cloud.
Because the lines only move when a new pivot is confirmed, they represent structural acceptance rather than raw volatility. Short “noise” moves and stop hunts between pivots have much less impact on these averages.
You can also enable an optional second pivot MA cloud:
Uses the same Pivot length for structural detection.
Has its own MA length and type.
Can run on a different timeframe (e.g. D, 240, W).
Is projected back onto the current chart so you see local pivot value and higher-timeframe pivot value together.
Why it’s useful
Traditional MAs:
React to every bar.
Move on noise, wicks, and stop runs.
Don’t distinguish between “meaningful” structure and random fluctuation.
This tool uses confirmed pivots, so it is better suited to market structure and phase analysis:
Pivot MA low reflects how demand is stepping up (or down) as new swing lows form.
Pivot MA high reflects how supply is pressing down (or easing) as new swing highs form.
The cloud between them acts as a dynamic, structure-based value area.
Typical interpretations:
Price inside the pivot cloud → balance / fair value area.
Price above the pivot cloud → bullish value expansion.
Price below the pivot cloud → bearish value expansion.
Cloud compressing → possible energy build-up, transition between phases.
Cloud expanding → stronger directional conviction.
With the second cloud enabled on a higher timeframe, you can:
See whether lower-timeframe structure is building with or against the higher-timeframe pivot value.
Use the HTF cloud as a background bias and the LTF cloud for timing and fine-grained context.
Notes
All pivot-based tools have inherent delay: a pivot is only confirmed after pivotLen bars to the right.
On very low timeframes, long pivotLen + long MA lengths will make the lines slower to react.
This is intended as a context and structure tool, not a standalone entry signal.
GS Tactical Overlay (SMC + Squeeze)designed to sit atop the 6 pillar commander. it will tell you signs for puts and calls
Unmitigated High Low (Day/MTF)
# Unmitigated High Low (Day/MTF)
## Overview
The **Unmitigated High Low (Day/MTF)** indicator tracks previous timeframe highs and lows that remain "unmitigated" (untouched by price) and displays them as dynamic support and resistance levels. By default, the indicator monitors daily highs and lows, making it ideal for intraday traders seeking key institutional levels, though it supports any multi-timeframe (MTF) interval. The indicator extends horizontal lines from each level until price touches them, creating visual "zones of interest" where price action may react.
## What It Does
This indicator identifies and plots two types of levels on your chart:
- **High Levels** (yellow lines) - Previous timeframe highs that price has not yet reached or exceeded
- **Low Levels** (cyan lines) - Previous timeframe lows that price has not yet broken below
Each time a new timeframe period completes (e.g., daily candle closes), the indicator captures that period's high and low and extends them forward as horizontal reference lines. When price finally touches or crosses these levels, they become "mitigated" - the line stops extending, becomes transparent (60% opacity), and is marked as historical.
## Key Features
**Multi-Timeframe Capability**: While defaulting to daily ("D") timeframe, you can switch to any interval (15-minute, 4-hour, weekly, etc.) to match your trading style.
**Band Visualization**: The indicator creates colored bands between the two most recent active levels in each direction - an upper band (purple fill) between the 1st and 2nd unmitigated highs, and a lower band (cyan fill) between the 1st and 2nd unmitigated lows.
**Visual Clarity**: Active unmitigated levels display in full color with customizable line width (default: 2), while mitigated levels fade to 60% transparency, helping you distinguish between current zones and historical references.
## How to Use It
Add the indicator to your chart and observe where unmitigated levels cluster - these zones often act as magnets for institutional order flow. The most recent unmitigated high represents overhead supply/resistance, while the most recent unmitigated low represents underlying demand/support. Traders commonly use these levels for:
- Entry zones when price approaches unmitigated levels with confluent signals
- Stop-loss placement beyond unmitigated levels to avoid institutional sweeps
- Profit targets at the next unmitigated level in the direction of your trade
- Breakout confirmation when price finally mitigates a long-standing level
The colored bands between the 1st and 2nd levels highlight "zones of friction" where price may consolidate or reverse before continuing its trend.
## Settings
**HL interval**: Select your desired timeframe (default: "D" for daily)
**High Line Color**: Color for unmitigated high levels (default: yellow #fff176)
**Low Line Color**: Color for unmitigated low levels (default: cyan #00bcd4)
**Upper Band Fill**: Fill color between 1st and 2nd highs (default: purple #880e4f at 85% transparency)
**Lower Band Fill**: Fill color between 1st and 2nd lows (default: cyan #00bcd4 at 85% transparency)
**Line Width**: Thickness of level lines (default: 2, range: 1-5)
Composite Index [Auto Signals]Composite Index
Description (描述正文):
Overview This is an enhanced version of the famous Composite Index (CI) developed by Connie Brown. While the traditional RSI is confined between 0 and 100, often masking true momentum in strong trends, the Composite Index is uncapped and incorporates a momentum component to reveal the market's true structural strength.
I have engineered this script to include Automated Signal Markers based on the crossover of the Composite Index and its Slow Moving Average. This helps traders instantly identify momentum shifts and "Timing" entries/exits without manual guesswork.
Key Features
Uncapped Momentum: Unlike RSI, the CI can go anywhere, preventing the "flattening" effect seen in strong trending markets (e.g., TSLA, NVDA).
Automated Signals:
▲ Green Triangle (Launch): Triggers when the Gray CI line crosses ABOVE the Red Slow MA. This indicates bearish momentum is exhausted and bulls are regaining control.
▼ Red Triangle (Warning): Triggers when the Gray CI line crosses BELOW the Red Slow MA. This indicates bullish momentum is failing, serving as an early warning for exits or tightening stops.
Classic Formula: Uses the standard Connie Brown parameters (14, 9, 3) + SMA smoothing for reliable divergence detection.
How to Use This Indicator This script is best used as a companion to trend indicators like TTM Squeeze or Moving Average Ribbons.
For Entries (The "Dip Buy"): In an uptrend, wait for a pullback. When the Green Triangle (▲) appears, it confirms that the pullback is over and momentum has turned back up.
For Exits (The "Top"): Look for Divergence. If Price makes a Higher High but the Composite Index makes a Lower High—followed by a Red Triangle (▼)—this is a high-probability sell signal.
The "Slow MA" Filter: The signals are generated only when the CI crosses the Slow MA (Red Line). This filters out the noise of minor fluctuations (crossing the Green line) and focuses on significant momentum changes.
Settings
RSI Period: 14 (Default)
Momentum Period: 9 (Default)
Signal Logic: Crossover/Crossunder of the Slow MA (33 Period).
Disclaimer This tool is for educational purposes only. Always combine momentum signals with price action and structure analysis.
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Bollinger Bands + MA 50/100/200📊 Bollinger Bands + MA 50 / 100 / 200 Indicator
This indicator combines Bollinger Bands with key Moving Averages (50, 100, 200) to help you spot trend direction, volatility, and potential reversal zones in one clean view.
🔹 Bollinger Bands
* Customizable length & MA type (SMA, EMA, RMA, WMA, VWMA)
* Visualizes market volatility
* Upper & lower bands help identify overbought / oversold conditions
🔹 Moving Averages
* MA 50 → Short-term trend
* MA 100 → Medium-term trend
* MA 200 → Long-term trend & major support/resistance
* Easy toggle on/off for clean charting
💡 How to use
* Price near upper band + strong MA trend → possible continuation
* Price near lower band → watch for bounce or breakdown
* MA alignment (50 > 100 > 200) → bullish trend
* MA cross & BB squeeze → potential breakout incoming
⚠️ Best used with price action & risk management
📌 Works on stocks, crypto, forex, indices
Seasonality Table: % Move by Day x Month (Open vs Prev Close)Short description
A compact seasonality heatmap that shows the average daily open vs previous session close move for each calendar day (1–31) across months (Jan–Dec).
What it does
This indicator builds a Day × Month table where each cell displays the historical average of:
(Open/Close-1) -1 x 100
In other words: how the market typically “opened” relative to the prior day’s close, grouped by day of month and month.
How to read it
Rows = Day of month (1–31)
Columns = Months (Jan–Dec)
Cell value = average percentage move (signed format like +0.23% or -0.33%)
Heatmap = stronger color intensity indicates larger absolute average moves
Today highlight = the current calendar day cell is visually highlighted for fast context
Key settings
Reference timeframe (Daily): uses daily session data as the source of truth
Decimals / Signed formatting: control numeric display
Theme controls: fully customizable colors for positive/negative/neutral cells, headers, labels, and text
Font sizes: independently adjust header/labels/values
Heatmap scaling: set “max abs (%)” to match the volatility of the instrument
Notes / limitations
The indicator depends on the historical data available on TradingView for the selected
symbol and timeframe.
This is a statistical visualization tool. It does not predict future returns and does not generate trade signals.
Disclaimer
This script is for educational and informational purposes only and is not financial advice. Trading involves risk. Always do your own research and use proper risk management.
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
My OB detector 18 DicProfessional Order Block indicator optimized for M3 timeframe. It features automatic 50% entry detection, a strict 1:1 risk-to-reward ratio, and a 10-pip minimum profit filter. Strictly follows the Madrid session hours for Euro and US sessions.
Session Relative VolumeSession Relative Volume is an advanced intraday futures volume indicator that analyzes volume separately for Asia, London, and New York sessions - something standard relative volume tools can’t do.
Instead of aggregating the entire day’s volume, the indicator compares current volume to historical averages for the same session and time of day, allowing you to spot true volume strength and meaningful spikes, especially around session opens.
Background
Relative volume helps traders spot unusual activity: high volume often signals institutional participation and trending days, while low volume suggests weak commitment and possible mean reversion. In futures markets, sessions ( Asia, London, New York ) must be analyzed separately, but TradingView’s Relative Volume in Time aggregates the entire day, masking session-specific behavior - especially during the New York open. Since volume can vary by more than 20× between sessions, standard averages struggle to identify meaningful volume spikes when trader conviction matters most.
Indicator Description
The “Session Relative Volume” indicator solves these problems by calculating historical average volume specific to each session and time of day, and comparing current volume against those benchmarks. It offers four display modes and fully customizable session times
Altogether, it provides traders with a powerful tool for analyzing intraday futures volume, helping to better assess market participation, trader conviction, and overall market conditions - ultimately supporting improved trading decisions.
Parameters
Mode – display mode:
R-VOL: Relative cumulative session-specific volume at time
VOL CUM: Cumulative session volume at time compared to historical average cumulative session-specific volume
VOL AVG: Average session intrabar volume at time compared to historical average session-specific intrabar volume
VOL: Individual bars volume, highlighting (solid color) unusual spikes
Lookback period – number of days used for calculating historical average session volume at time
MA Len – length of the moving average, representing average bar volume within a session based on previous periods (different from historical cumulative volume!). Used only in VOL and VOL AVG modes
MA Thresh – deviation from moving average, used to detect bar volume spikes (bar volume > K × moving average)
Start Time – End Time and Time Zone parameters for each session. The time zone must be set using TradingView’s format (e.g., GMT+1).
Effort-Result Divergence [Interakktive]The Effort-Result Divergence (ERD) measures whether volume effort is producing proportional price result. It quantifies the classic Wyckoff principle: when price moves easily, momentum is real; when price struggles despite heavy volume, absorption is occurring.
Think of ERD as "energy efficiency" for price movement — green means price is gliding, red means price is grinding.
█ WHAT IT DOES
• Measures volume EFFORT relative to average volume
• Measures price RESULT relative to ATR-normalized movement
• Computes ERD = Result minus Effort (each scaled 0-100)
• Flags statistical divergences via Z-score analysis
• Absorption events: high effort, low result (negative ERD)
• Vacuum events: low effort, high result (positive ERD)
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is educational only)
• NO performance claims or guarantees
This is a context tool for understanding market participation quality.
█ HOW IT WORKS
The ERD analyzes two dimensions of market activity and compares them.
EFFORT (Volume Intensity)
Compares current volume to a moving average baseline:
Effort Ratio = Volume ÷ SMA(Volume, Length)
Effort Score = clamp(100 × Effort Ratio ÷ Effort Cap)
High effort means above-average volume participation.
Low effort means below-average volume participation.
RESULT (Price Efficiency)
Measures how much price moved relative to expected volatility:
Result Ratio = |Close − Previous Close| ÷ ATR
Result Score = clamp(100 × Result Ratio ÷ Result Cap)
High result means price moved significantly for the volatility regime.
Low result means price barely moved despite market activity.
ERD SCORE
ERD = Result − Effort
• Positive ERD: Result exceeds effort → price moved easily (vacuum/thin liquidity)
• Negative ERD: Effort exceeds result → price struggled (absorption/accumulation)
• Near zero: Balanced effort-to-result relationship
STATISTICAL DIVERGENCE DETECTION
Z-score analysis identifies statistically significant extremes:
Z = (ERD − Mean) ÷ StdDev
• Absorption Event: Z ≤ −threshold (extreme negative ERD)
• Vacuum Event: Z ≥ +threshold (extreme positive ERD)
█ INTERPRETATION
GREEN BARS (Positive ERD)
Price moved with relatively little volume effort. This suggests:
• Thin liquidity / low resistance
• Strong directional interest
• Momentum is "real" — not forced
RED BARS (Negative ERD)
Heavy volume was used but price barely moved. This suggests:
• Absorption / accumulation occurring
• Large players opposing the move
• Inefficiency — someone is working hard for little result
THE KEY INSIGHT
When you see:
• Down moves = high effort (red spikes)
• Up moves = low effort (green bars)
This means: It's easier for price to go up than down.
That is asymmetric strength — classic bullish pressure.
The reverse (red on up moves, green on down moves) signals bearish pressure.
PRACTICAL RULES
Without any other indicators:
• Avoid shorting when ERD is mostly green and red spikes appear only on down candles
• Be cautious buying when ERD turns red on up candles (signals absorption of buying pressure)
• Vacuum events (extreme green) often precede continuation or pause — not violent reversal
• Absorption events (extreme red) often precede reversals or range formation
█ VOLUME DATA NOTE
This indicator uses the volume variable which represents:
• Exchange volume on stocks and futures
• Tick volume on Forex and CFD instruments
Tick volume is a proxy for activity, not actual exchange volume. The indicator remains useful on Forex as relative volume comparisons are still meaningful, but interpretation should account for this limitation.
█ INPUTS
Core Settings
• Volume Average Length: Baseline period for effort calculation (default: 20)
• ATR Length: Volatility normalization period (default: 14)
• Effort Cap: Volume ratio that maps to 100% effort (default: 3.0)
• Result Cap: ATR multiple that maps to 100% result (default: 1.0)
Divergence Detection
• Z-Score Lookback: Statistical analysis window (default: 100)
• Z-Score Threshold: Standard deviations for event flags (default: 2.0)
Visual Settings
• Show ERD Histogram: Toggle main display
• Show Zero Line: Toggle reference line
• Show Divergence Markers: Toggle event circles
• Show Effort/Result Lines: Display component breakdown
█ ORIGINALITY
While Wyckoff's effort-versus-result principle is well-established, existing implementations are typically:
• Purely visual with no quantification
• Pattern-based requiring subjective interpretation
• Not statistically normalized for comparison across instruments
ERD is original because it:
1. Normalizes both effort and result to 0-100 scales for direct comparison
2. Uses ATR for result normalization (adapts to volatility regime)
3. Applies statistical Z-score for objective divergence detection
4. Provides quantified output suitable for systematic analysis
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• Effort (0-100)
• Result (0-100)
• ERD Score
• Z-Score
• Absorption Event (1/0)
• Vacuum Event (1/0)
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Best on: Instruments with reliable volume data (stocks, futures, crypto)
Timeframes: All timeframes — interpretation adapts accordingly
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Wyckoff Volume Spread Analysis — conceptual foundation
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
krishnadeshmukh/NIFTY50 Micro Sentiment Part 1📘 Script Description: NIFTY50 Micro Sentiment — Part 1
This indicator tracks real-time micro sentiment across the top 25 weighted stocks of the NIFTY50 index using a volume-based distribution model.
🔍 How it works:
Scans last N bars (configurable) for each stock.
Divides each stock’s price range into equal bins.
Measures bullish vs bearish volume in each bin based on:
Candle Color (Close > Open) or
Close Near High (Close > Midpoint).
Assigns a sentiment value:
+1 → Bullish dominance
-1 → Bearish dominance
0 → Neutral
📊 Each stock's sentiment is weighted by its contribution to the index.
🧮 Displays:
Weighted Sentiment Score
Bullish / Bearish / Neutral Components
Updated every 5 bars with an easy-to-read table.
Use this to gauge underlying micro shifts in sentiment before broader market moves.
9 EMA Trend-Flow StrategyThis strategy avoids trading inside the noise and waits for Bitcoin to "coil up" before exploding.
1. Chart Setup
Timeframe: 5 Minutes
Bollinger Bands: Length 20, Standard Deviation 2 (Default).
RSI (Relative Strength Index): Length 14.
EMA (Exponential Moving Average): Length 200 (Trend Filter).
2. The Rules
Long Setup (Buy)
The Trend Filter: Price must be above the 200 EMA.
The Squeeze: The Bollinger Bands must visually contract (narrow), indicating volatility is dying down.
The Trigger: A 5m candle closes strongly above the Upper Bollinger Band.
Confirmation: RSI must be rising and above 50 (but ideally not yet "pegged" at 90+).
Short Setup (Sell)
The Trend Filter: Price must be below the 200 EMA.
The Squeeze: The Bollinger Bands contract.
The Trigger: A 5m candle closes strongly below the Lower Bollinger Band.
Confirmation: RSI must be falling and below 50.
Execution Guide
Entry Technique
Don't enter immediately when the candle touches the band. Wait for the candle close.
Why? Bitcoin frequently "wicks" through bands to trap traders (fakeouts) before reversing. A solid close outside the band confirms momentum.
Exit Strategy (Take Profit)
Target 1 (Conservative): Close 50% of the position when price expands to a fixed risk-reward ratio (e.g., 1.5R).
Target 2 (Runner): Keep the remaining position open as long as price "walks the band" (stays outside or touching the outer band). Close the rest when a candle finally closes back inside the Bollinger Bands.
Stop Loss
Placement: Place your Stop Loss (SL) slightly below the Middle Band (the 20 SMA) at the time of entry.
Trailing: As the price moves in your favor, move your SL to trail the Middle Band.
ADX&DIThis is an enhanced version of the classic ADX and Directional Movement Index (DMI). It is designed to filter out ranging markets and visually highlight trend strength.
Key Features:
Dual Threshold System:
Level 1 (Default 20): Signals the start of a trend. The background fill appears with high transparency.
Level 2 (Default 25): Signals a strong trend. The background fill becomes more opaque/solid to indicate momentum.
Visual Clarity: The area between DI+ and DI- is only filled when the ADX is above your defined thresholds. This helps you ignore noise in low-volatility environments.
Clean Settings: The logic is optimized so you can easily adjust colors and transparency directly in the "Style" tab without cluttered input menus.
