Daily High/Low/Mid + Open + Session VWAP + Bollinger BandsVery good indicator for proper price action trading. try it...
Indicators and strategies
Double Stochastic & RSI Oscillator (Custom by TitikSona)This indicator displays two Stochastic oscillators together with RSI in a separate oscillator pane, giving a clear visual representation of momentum and overbought/oversold conditions. It is ideal for traders who want a multi-indicator confirmation without plotting signals directly on the price chart.
Features:
Dual Stochastic Oscillators: Customizable %K and %D periods with independent smoothing.
RSI Overlay: Tracks momentum and confirms oscillator readings.
Visual Plots:
Stochastic 1 (%K blue / %D orange)
Stochastic 2 (%K green / %D red)
RSI (purple)
Reference Lines: Overbought (80), Oversold (20), Midline (50), and custom RSI upper/lower levels.
Background Zones: Highlights overbought (red) and oversold (green) regions for quick visual reference.
Inputs:
Stochastic 1 & 2 K, D, and slowing periods
RSI period, upper, and lower thresholds
Usage:
Use the oscillator to detect overbought and oversold zones.
Confirm entries and exits by combining Stochastics and RSI levels.
Ideal for swing trading, day trading, and momentum strategies.
Last All-Time High (ATH) — By yarinit shows the recant all time high and then you can detact where was the recant all time high without searching it
GOLD SL CANDLEPIPS🟡 GOLD SL Distance + Position Size (500 $ Fixed Risk)
This indicator displays two essential pieces of information directly on the chart:
1. The Stop-Loss distance — measured from the candle close to the end of the wick.
• For long trades, the distance is calculated from the close to the low.
• For short trades, it’s from the high to the close.
• The result is shown as a clean numeric value, placed just above or below each candle, without any lines or labels cluttering the chart.
2. The required position size (in lots) to risk a fixed amount of 500 USD on that distance.
• This script includes a GOLD preset, based on the standard value of 10 USD per point per lot.
• The calculation follows this rule:
Lots = round(500 / (Distance_in_points × 10))
→ Equivalent to Lots = round(50 / Stop_in_points).
• Example:
• If the wick is 5 points, the script shows “5 | 10” → 5 pt stop = 10 lots for a 500 USD risk.
• If the wick is 8 points, it shows “8 | 6”, matching the official GOLD risk table.
⸻
⚙️ Main Features
• Works with Points, Ticks, or Pips (unit selectable).
• Shows both Stop-Loss distance and corresponding lot size near the candle.
• Fully customizable colors, font size, and text transparency.
• Offsets allow you to move the numbers vertically or horizontally on the chart.
• Option to display values for the current candle only, or for the last N candles.
• The GOLD preset can be disabled to use a custom value per unit (e.g., $/pip/lot, $/tick/lot).
⸻
🧠 Ideal Use Case
This tool is designed for Gold (XAU/USD) traders who want to:
• Instantly see their Stop-Loss distance in real time,
• And know exactly how many lots to use to maintain a consistent 500 USD risk per trade.
It’s a clean, minimalist money-management indicator that helps you stay precise, consistent, and disciplined in your risk control — without leaving the chart.
MTF RSI Heatmap)# MTF RSI Heatmap — v2.7.2
**Hybrid Higher-TF Trend + Intraday Impulse Detection + Smart Counters & Alerts**
Turn your lower pane into a **multi-timeframe market bias dashboard**. This heatmap blends classic RSI momentum with a **hybrid Daily/Weekly MA-stack trend** and an **intraday impulse override** that flags fast moves *as they happen*. Clean, configurable, and built for real trading flow.
---
## What it shows
* **6 stacked rows = 6 timeframes** (bottom → top).
* **Colors**: Green = Bull, Red = Bear, Yellow = Neutral.
* **Header counter**: `Bull X/6 | Bear Y/6` = live agreement across visible rows.
* **Impulse markers** ▲/▼ on intraday rows (5m/15m/60m/240m) when a shock move triggers.
* **Signal bar**: A thin column above the top row when at least **N of 6** rows align (configurable).
---
## Why it’s different
* **Impulse Override (intraday)**
Detects sharp moves using % change over the last *N* bars, optionally gated by **volume > SMA × multiplier**. This catches dumps/pops earlier than RSI alone.
* **Hybrid D/W (structure over noise)**
Daily/Weekly rows can use an **MA stack (8/21/55)** instead of RSI for a more stable higher-timeframe trend read. Optional **price > fast MA** filter for stricter confirmation.
* **Intrabar option**
Flip rows **during the bar** for early reads (accepting repaint on TF close), or keep it close-only for no surprises.
---
## Key features
* 🌈 **Theme**: Classic or High-Contrast colors.
* 🧠 **RSI thresholds**: Bull above 55, Bear below 45 (editable).
* 🧲 **RSI smoothing** (EMA) for intraday rows to reduce flicker.
* 🧰 **Compact left legend** with adjustable text size & opacity.
* 🚨 **Alerts**:
* **Impulse-only** (per TF and “any intraday”)
* **N-of-6 confirmation** (bull/bear)
---
## Recommended settings (fast opens & news)
* **Impulse**: `Bars = 1–2`, `Threshold = 0.25–0.35%`, `Vol confirm = ON`, `Multiplier = 1.3–1.5`.
* **Hybrid D/W**: `ON`, `EMA 8/21/55`, `Price filter = ON`.
* **Intrabar**: `ON` if you want intra-bar updates (repaints at TF close).
---
## How to read it
1. **Row scan**: Are the bottom (fast) rows aligning first? That’s early momentum.
2. **Header counter**: Look for 4+/6 agreement as momentum broadens.
3. **Signal bar**: Acts as a “go/no-go” confirmation when your threshold is met.
4. **Impulse ▲/▼**: Use as a **heads-up** for acceleration; then watch if rows cascade in that direction.
---
## Alerts (exact names)
Create alerts with these built-ins:
* **Impulse UP — any intraday**
* **Impulse DOWN — any intraday**
* **Impulse UP — TF1 / TF2 / TF3 / TF4**
* **Impulse DOWN — TF1 / TF2 / TF3 / TF4**
* **Bull confirmation** (N-of-6)
* **Bear confirmation** (N-of-6)
Tip: Use **Once per bar** or **Once per bar close** depending on whether you enabled *Intrabar*.
---
## Inputs overview
* **Timeframes & visibility** per row.
* **RSI**: length, bull/bear thresholds, optional EMA smoothing (intraday only).
* **Impulse**: bars, %, volume confirm, SMA length, multiplier, markers.
* **Hybrid D/W**: MA type (EMA/SMA/HMA), 8/21/55 lengths, price filter.
* **Theme & Legend**: color theme, label size (Tiny/Small/Normal), legend opacity.
* **Signal**: N required for confirmation (default 4).
---
## Pro tips
* Combine with **session opens**, **VWAP**, and **liquidity levels**.
* If you trade breakouts, let **impulse triggers** cue attention, then wait for **N-of-6** confirmation.
* For swing bias, lean on **Hybrid D/W**—it changes slower, but with intent.
---
## Notes & limitations
* **Intrabar = repaint expected** on higher-TF closes—by design for earlier context.
* Colors/thresholds are general guidance, not signals by themselves.
* Past performance ≠ future results; **this is not financial advice**.
---
If you enjoy this, drop a ⭐ and tell me what you want next: background shading on confirmation, tooltips with RSI/ROC per row, or a MACD/RSI hybrid mode. Trade sharp! ✨
LA - MACD EMA BandsOverview of the "LA - MACD EMA Bands" Indicator
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
The "LA - MACD EMA Bands" is a custom technical indicator written in Pine Script v6 for TradingView. It builds on the traditional Moving Average Convergence Divergence (MACD) oscillator by incorporating additional smoothing via Exponential Moving Averages (EMAs) and Bollinger Bands (BB) applied directly to the MACD line. This creates a multi-layered momentum and volatility tool displayed in a separate pane below the price chart (not overlaid on the price itself).
The indicator allows for customization, such as selecting a different timeframe (for multi-timeframe analysis) and adjusting period lengths. It fetches data from the specified timeframe using request.security with lookahead enabled to avoid repainting issues. The core idea is to provide insights into momentum trends, crossovers, and volatility expansions/contractions in the MACD's behavior, making it suitable for identifying potential trend reversals, continuations, or ranging markets.
Unlike a standard MACD, which focuses primarily on momentum via a single line, signal line, and histogram, this version emphasizes longer-term smoothing and volatility boundaries. It uses visual fills between lines to highlight bullish/bearish conditions, aiding quick interpretation. Below, I'll break down each component, its calculation, visual representation, and practical uses.
Detailed Breakdown of Each Component and Its Uses
MACD Line (Blue Line, Labeled 'MACD Line')
Calculation: This is the core MACD value, computed as the difference between a fast EMA (default length 12) and a slow EMA (default length 144) of the input source (default: close price). The EMAs are calculated on data from the selected timeframe.
Visuals: Plotted as a solid blue line.
Uses:
Measures momentum: When above zero, it indicates bullish momentum (prices rising faster in the short term); below zero, bearish momentum.
Trend identification: Rising MACD suggests strengthening uptrends; falling suggests downtrends.
Divergence spotting: Compare with price action—e.g., if price makes higher highs but MACD makes lower highs, it signals potential bearish reversal (and vice versa for bullish divergence).
In trading: Often used for entry/exit signals when crossing the zero line or other lines in the indicator.
MACD EMA (Red Line, Labeled 'MACD EMA')
Calculation: A 12-period EMA applied to the MACD Line itself.
Visuals: Plotted as a solid red line.
Uses:
Acts as a signal line for the MACD, smoothing out short-term noise.
Crossover signals: When the MACD Line crosses above the MACD EMA, it can signal a bullish buy opportunity; crossing below suggests a bearish sell.
Trend confirmation: Helps filter false signals in choppy markets by requiring confirmation from this slower-moving average.
In trading: Useful for momentum-based strategies, like entering trades on crossovers in alignment with the overall trend.
Fill Between MACD Line and MACD EMA (Green/Red Shaded Area, Titled 'MACD Fill')
Calculation: The area between the MACD Line and MACD EMA is filled with color based on their relative positions.
Color Logic: Green (with 57% transparency) if MACD Line > MACD EMA (bullish); red if MACD Line < MACD EMA (bearish).
Visuals: Semi-transparent fill for easy visibility without overwhelming the lines.
Uses:
Quick visual cue for momentum shifts: Green areas highlight bullish phases; red for bearish.
Enhances readability: Makes crossovers more apparent at a glance, especially in fast-moving markets.
In trading: Can be used to time entries/exits or as a filter (e.g., only take long trades in green zones).
Bollinger Bands on MACD (BB Upper: Black Dotted, BB Basis: Maroon Dotted, BB Lower: Black Dotted)
Calculation: Bollinger Bands applied to the MACD Line.
BB Basis: 144-period EMA of the MACD Line.
BB Standard Deviation: 144-period stdev of the MACD Line.
BB Upper: BB Basis + (2.0 * BB Stdev)
BB Lower: BB Basis - (2.0 * BB Stdev)
Visuals: Upper and lower bands as black dotted lines; basis as maroon dotted
Uses:
Volatility measurement: Bands expand during high momentum volatility (strong trends) and contract during low volatility (ranging or consolidation).
Mean reversion: When MACD Line touches or exceeds the upper band, it may signal overbought conditions (potential sell); lower band for oversold (potential buy).
Squeeze detection: Narrow bands (squeeze) often precede big moves—watch for breakouts.
In trading: Combines momentum with volatility; e.g., a MACD Line breakout above the upper band could confirm a strong uptrend.
BB Basis EMA (Green Line, Labeled 'BB Basis EMA')
Calculation: A 72-period EMA applied to the BB Basis (which is already a 144-period EMA of the MACD Line).
Visuals: Solid green line.
Uses:
Further smoothing: Provides a longer-term view of the MACD's average behavior, reducing noise from the BB Basis.
Trend direction: Acts as a baseline for the BB system—above it suggests bullish bias in momentum volatility; below, bearish.
Crossover with BB Basis: Can signal shifts in volatility trends (e.g., BB Basis crossing above BB Basis EMA indicates increasing bullish volatility).
In trading: Useful for confirming longer-term trends or as a filter for BB-based signals.
Fill Between BB Basis and BB Basis EMA (Gray Shaded Area, Titled 'BB Basis Fill')
Calculation: The area between BB Basis and BB Basis EMA is filled.
Color Logic: Currently set to a constant semi-transparent gray regardless of position.
Visuals: Semi-transparent gray fill.
Uses:
Highlights divergence: Shows when the shorter-term BB Basis deviates from its longer-term EMA, indicating potential volatility shifts.
Visual aid for crossovers: Makes it easier to spot when BB Basis crosses its EMA.
In trading: Could be used to identify overextensions in volatility (e.g., wide gray areas might signal impending mean reversion).
Zero Line (Black Horizontal Line)
Calculation: A simple horizontal line at y=0.
Visuals: Solid black line.
Uses:
Reference point: Divides bullish (above) from bearish (below) territory for all MACD-related lines.
In trading: Crossovers of the zero line by the MACD Line or BB Basis can signal major trend changes.
How It Differs from a Normal MACD
A standard MACD (e.g., the built-in TradingView MACD with defaults 12/26/9) consists of:
MACD Line: EMA(12) - EMA(26).
Signal Line: EMA(MACD Line, 9).
Histogram: MACD Line - Signal Line (bars showing convergence/divergence).
Key differences in "LA - MACD EMA Bands":
Periods: Uses a much longer slow EMA (144 vs. 26), making it more sensitive to long-term trends but less reactive to short-term price action. The MACD EMA is 12 periods (vs. 9), further emphasizing smoothing.
No Histogram: Replaces the histogram with fills and bands for visual emphasis on crossovers and volatility.
Added Bollinger Bands: Applies BB directly to the MACD Line (with a long 144-period basis), introducing volatility analysis absent in standard MACD. This helps detect "squeezes" or expansions in momentum.
Additional EMA Layer: The BB Basis EMA (72-period) adds a secondary smoothing level to the BB system, providing a hierarchical view of momentum (short-term MACD → mid-term BB → long-term EMA).
Multi-Timeframe Support: Built-in option for higher timeframes, unlike basic MACD.
Focus: Standard MACD is purely momentum-focused; this version integrates volatility (via BB) and multi-layer smoothing, making it better for trend-following in volatile markets but potentially overwhelming for beginners.
Overall, this indicator transforms the MACD from a simple oscillator into a comprehensive momentum-volatility hybrid, reducing false signals in trending markets but introducing lag.
Overall Pros and Cons
Pros:
Enhanced Visualization: Fills and bands make trends, crossovers, and volatility easier to spot without needing multiple indicators.
Reduced Noise: Longer periods (144, 72) smooth out whipsaws, ideal for swing or position trading in trending assets like stocks or forex.
Volatility Integration: BB adds a dimension not in standard MACD, helping identify breakouts or consolidations.
Customizable: Inputs for timeframes and lengths allow adaptation to different assets/timeframes.
Multi-Layered Insights: Combines short-term signals (MACD crossovers) with long-term confirmation (BB EMA), improving signal reliability.
Cons:
Lagging Nature: Long periods (e.g., 144) delay signals, missing early entries in fast markets or leading to late exits.
Complexity: Multiple lines and fills can clutter the pane, requiring experience to interpret; beginners might misread it.
Potential Overfitting: Custom periods (12/144/12/144/72) may work well on historical data but underperform in live trading without backtesting.
No Built-in Alerts/Signals: Relies on visual interpretation; users must manually set alerts for crossovers.
Resource Intensive: On lower timeframes or with lookahead, it might slow chart loading on Trading View.
This indicator shines in strategies combining momentum and volatility, like trend-following with BB squeezes, but test it on your assets (e.g., via backtesting) to ensure it fits your style.
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
💎 Hybrid RSI+EMA Fade CoreColor coded candles that work off extremes of the RSI and the distance price is from the 50 ema. Dots denote possible extremes.
Advanced HMM - 3 States CompleteHidden Markov Model
Aconsistent challenge for quantitative traders is the frequent behaviour modification of financial
markets, often abruptly, due to changing periods of government policy, regulatory environment
and other macroeconomic effects. Such periods are known as market regimes. Detecting such
changes is a common, albeit difficult, process undertaken by quantitative market participants.
These various regimes lead to adjustments of asset returns via shifts in their means, variances,
autocorrelation and covariances. This impacts the effectiveness of time series methods that rely
on stationarity. In particular it can lead to dynamically-varying correlation, excess kurtosis ("fat
tails"), heteroskedasticity (volatility clustering) and skewed returns.
There is a clear need to effectively detect these regimes. This aids optimal deployment of
quantitative trading strategies and tuning the parameters within them. The modeling task then
becomes an attempt to identify when a new regime has occurred adjusting strategy deployment,
risk management and position sizing criteria accordingly.
A principal method for carrying out regime detection is to use a statistical time series tech
nique known as a Hidden Markov Model . These models are well-suited to the task since they
involve inference on "hidden" generative processes via "noisy" indirect observations correlated
to these processes. In this instance the hidden, or latent, process is the underlying regime state,
while the asset returns are the indirect noisy observations that are influenced by these states.
Session Boxes & Key Levels (Daily Prev HL)Session Boxes & Key Levels
Draws intraday session ranges and key higher-timeframe levels to aid structure and bias.
Session boxes: Shades the Asia, Europe, and US sessions with live-updating highs/lows. Timezone is user-selectable.
Previous Day levels (PDH/PDL): Plots yesterday’s Daily high and low, auto-extends across the current day.
Previous Week levels (PWH/PWL): Plots last week’s high and low, auto-extends across the current week.
Works on any timeframe and updates in real time; labels are added for quick identification.
Use it to spot session ranges, liquidity sweeps, and reactions at prior day/week extremes.
Futures Floor Pivots — Timeframe Invariant (CT settlement)Daily pivot points with different settlement time options for different futures instruments.
RSI Buy/Sell SignalsThis indicator generates buy and sell signals based on the Relative Strength Index (RSI). It works by calculating the RSI value over a 14-period length and then checking if the RSI drops below 30 (oversold) or rises above 70 (overbought). When it’s oversold, the indicator plots a green upward arrow suggesting a potential buy. When it’s overbought, it plots a black downward arrow suggesting a potential sell. In essence, it helps traders spot possible reversal points using RSI levels directly on their charts. CME_MINI:NQ1!
MultiStochasticThis script shows when 4 Stochastic %D values (9, 14, 30, and 60) are below 20 or above 80.
Live Position Sizer V2This is a refined version of my first Position calculator. The first one was getting in the way of the candles on the chart, so I added the ability for the user to position it where they want. I changed the color to gray. I added a "ATR based SL". This position sizer will lock onto the current price. With a SL of your choosing, it will give you real time quantity, and lots. Simply input your account size, risk, where you want your SL, long or short trade. It will spit out the info you need in real time. Like the first version, there is the ability to turn on "Live +R targets".
Risk Recommender — (Heatmap)📊 Risk Recommender — Per-Trade & Annualized (Heatmap Columns)
Estimate the optimal risk percentage for any market regime.
This tool dynamically recommends how much of your account equity to risk — either per trade or at a portfolio (annualized) level — using volatility as the guide.
⚙️ How it works
Two distinct modes give you flexibility:
1️⃣ Per-Trade (ATR-based)
• Calculates the current Average True Range (ATR) compared to its long-term baseline.
• When volatility is high (ATR ↑), risk per trade decreases to maintain constant dollar risk.
• When volatility is low (ATR ↓), risk per trade increases within your defined floor and ceiling.
• The display is normalized by stop distance (× ATR) and smoothed to avoid noise.
2️⃣ Annualized (Volatility Targeting)
• Computes realized volatility (standard deviation of log returns) and an EWMA forecast of future volatility.
• Blends current and forecast volatilities to estimate “effective” volatility.
• Scales your base risk so that portfolio volatility converges toward your chosen annual target (e.g., 20%).
• Useful for portfolio-level or systematic strategies that maintain constant volatility exposure.
🎨 Heatmap Visualization
The vertical column graph acts like a thermometer:
• 🟥 Red → “Reduce risk” (volatility high).
• 🟩 Green → “Increase risk” (volatility low).
• Smoothed and bounded between your Floor and Ceiling risk levels.
• Optional dotted guides mark those bounds.
• Label shows the current mode, recommended risk %, and key metrics (ATR ratio or effective volatility).
🔧 Key Inputs
• Base max risk per trade (%) — your normal per-trade risk budget.
• ATR length / Baseline ATR length — control sensitivity to short- vs. long-term volatility.
• Target annualized volatility (%) — portfolio volatility target for quant mode.
• λ (lambda) — smoothing factor for the EWMA volatility forecast (0.90–0.99 typical).
• Floor & Ceiling — clamps the output to avoid extreme sizing.
• Smoothing & Hysteresis — prevent rapid changes in risk recommendations.
🧮 Interpreting the Output
• “Recommended Risk (%)” = suggested portion of equity to risk on the next trade (or current exposure).
• In Per-Trade mode: reflects current ATR ÷ baseline ATR .
• In Annualized mode: reflects target volatility ÷ effective volatility .
• Use the color and height of the column as a quick visual cue for aggressiveness.
💡 Typical Use Cases
• Position-sizing overlay for discretionary traders.
• Volatility-targeting component for algorithmic or multi-asset systems.
• Educational tool to understand how volatility governs prudent risk management.
📘 Notes
• This indicator provides risk suggestions only ; it does not place trades.
• Works on any symbol or timeframe.
• Combine with your own strategy or alerts for full automation.
• All calculations use built-in Pine functions; no proprietary logic.
Tags:
#RiskManagement #ATR #Volatility #Quant #PositionSizing #SystematicTrading #AlgorithmicTrading #Portfolio #TradingStrategy #Heatmap #EWMA #Risk
Supply In Profit Z-Score | Wave BackgroundSupply in Profit Z-Score
Modified by Quant_Hustler | Original by QuantChook
What it does
The Supply in Profit Z-Score measures how extreme the balance is between BTC addresses in profit versus those in loss compared to historical norms.
It highlights periods of excessive optimism or pessimism, helping traders identify market sentiment extremes that can signal potential turning points or confirm ongoing trends.
This version is designed for longer-term strategies, using smoothing and statistical normalization to focus on broader market sentiment cycles rather than short-term noise.
How it works
--Data Retrieval: Pulls on-chain data showing the percentage of Bitcoin addresses currently in profit and in loss.
--Spread Calculation: Finds the difference between the two to gauge overall sentiment balance.
--Alpha Decay Adjustment (optional): Normalizes extreme values to stabilize the signal over time.
--Smoothing: Applies a moving average to filter daily volatility and improve long-term clarity.
--Z-Score Conversion: Standardizes the data to show how far current sentiment deviates from historical averages.
--Visualization: Plots the result around a neutral midpoint (zero line) — positive values indicate profit dominance, negative values indicate loss dominance.
How to use it
--Above Zero: More addresses in profit → bullish sentiment and strong trend conditions.
--Below Zero: More addresses in loss → bearish sentiment or potential accumulation zones.
--Extreme Values: Mark overly optimistic or capitulated sentiment, often preceding major reversals.
Why use it in trend following
--This indicator serves as an on-chain sentiment confirmation layer for trend-following systems, especially on higher timeframes (daily or weekly).
--In uptrends, sustained positive readings confirm market strength and investor confidence.
--In downtrends, persistent negative readings confirm weakness and help avoid false reversal signals.
--Divergences between price and sentiment (e.g., rising price but weakening sentiment) often signal momentum loss or potential trend transitions.
Modifications from the original by QuantChook
Added EMA, adaptive Z-score smoothing and capping to reduce volatility and noise.
Introduced a wave-style visualization for intuitive sentiment shifts.
Improved calculation structure and upgraded for Pine Script v6 efficiency.
Tuned signal responsiveness and smoothing parameters for long-term trend accuracy.
Simplified user inputs and grouping for easier customization and integration.
In summary:
A refined, statistically grounded on-chain sentiment oscillator — originally developed by QuantChook and enhanced by Quant_Hustler — built to support long-term trend-following strategies by quantifying Bitcoin market sentiment through real-time profit and loss dynamics.
Candle Close Timer - CustomizableIt just counts down the time to the start of the next candle on the timframe you are on. Simple!
Session First 15-Min High/LowHere's a professional description for your 15-minute indicator:
Session First 15-Min High/Low Marker
This indicator automatically identifies and marks the high and low price levels established during the first 15 minutes of major trading sessions, providing traders with broader opening range support and resistance zones for intraday analysis.
Key Features:
Tracks three major trading sessions in IST (Indian Standard Time):
Asian Session: 5:30 AM - 5:45 AM
London Session: 12:30 PM - 12:45 PM
New York Session: 5:30 PM - 5:45 PM
Draws horizontal lines at the highest and lowest prices reached during each session's opening 15-minute window
Color-coded for easy identification (Green for Asian, Blue for London, Red for New York)
Lines extend across the chart to help track price reactions throughout the day
Clean, minimal design with optional labels
Best Used For:
Identifying stronger intraday support and resistance levels with a wider opening range
Session breakout and reversal trading strategies
Understanding institutional order flow during market opens
Works on 1-minute timeframe for precise tracking (15 candles) or 5-minute timeframe (3 candles)
Why 15 Minutes vs 5 Minutes? The 15-minute opening range captures more price action and market participation, often providing more reliable support/resistance levels than the narrower 5-minute range. This makes it ideal for swing traders and those looking for higher-probability trade setups.
Customizable Settings:
Toggle line extensions on/off
Adjust line width (1-2)
Change colors for each session
Show/hide session labels
Perfect for day traders and position traders who want to identify high-probability support/resistance zones established during the critical opening 15 minutes of major trading sessions when liquidity and volatility are highest.
This description highlights the difference between the 5-minute and 15-minute versions and explains the practical benefits of the wider range.
Double Stochastic & RSI Signals (Custom by TitikSona)This custom TradingView indicator combines two Stochastic oscillators with RSI to generate clear Buy and Sell signals on the chart. It is designed for traders who want a multi-timeframe confirmation using momentum and overbought/oversold conditions.
Features:
Dual Stochastic Oscillators: Two independent Stochastics (%K and %D) with customizable periods for flexible analysis.
RSI Filter: Confirms signals by checking if RSI is within a defined range.
Buy & Sell Signals:
Green triangle under the bar indicates a Buy signal.
Red triangle above the bar indicates a Sell signal.
Chart Labels: Displays indicator values (%K, %D, RSI) directly on the chart when signals appear.
Info Table: Shows real-time indicator values, signal status, market condition (Overbought/Oversold/Normal), and price.
Alerts: Set alerts for Buy and Sell signals directly from the indicator.
Inputs:
K & D periods and slowing for both Stochastics
RSI period and upper/lower levels
Usage:
Buy when both Stochastics are oversold and RSI is within the defined range.
Sell when both Stochastics are overbought and RSI is within the defined range.
Wait when conditions are not met.
Ideal for scalping, swing trading, day trading, and momentum strategies.
Session First 5-Min High/LowHere's a professional description for your indicator:
Session First 5-Min High/Low Marker
This indicator automatically identifies and marks the high and low price levels established during the first 5 minutes of major trading sessions, helping traders identify key intraday support and resistance zones.
Key Features:
Tracks three major trading sessions in IST (Indian Standard Time):
Asian Session: 5:30 AM - 5:35 AM
London Session: 12:30 PM - 12:35 PM
New York Session: 5:30 PM - 5:35 PM
Draws horizontal lines at the highest and lowest prices reached during each session's opening 5-minute window
Color-coded for easy identification (Yellow for Asian, Blue for London, Red for New York)
Lines extend across the chart to help track price reactions throughout the day
Clean, minimal design with optional labels
Best Used For:
Identifying key intraday support and resistance levels
Session breakout trading strategies
Understanding institutional order flow at market opens
Works on 1-minute timeframe for precise tracking
Customizable Settings:
Toggle line extensions on/off
Adjust line width (1-5)
Change colors for each session
Show/hide session labels
Perfect for day traders and scalpers who trade around major session openings and want to identify high-probability support/resistance zones established during peak liquidity periods.
This description explains what the indicator does, its practical applications, and its key features in a way that's clear for TradingView users.RetryClaude can make mistakes. Please double-check responses.
Trader AssistantDescription of the "Trader Assistant" indicator
Overview
- Trader Assistant is a comprehensive TradingView indicator (Pine Script v5) that combines volatility analysis (ATR), trading volume monitoring, and signal generation to support decision-making.
Core components
1) ATR (Average True Range) calculation
- Uses a custom daily ATR function (Trader-Assistant.pine:86)
- Daily timeframe enforcement via (Trader-Assistant.pine:107), independent of the current chart timeframe
- Configurable ATR length (default 5 bars)
2) ATR exhaustion analysis
- From daily open: how much of the daily ATR the price has moved from the open, as a percentage: (Trader-Assistant.pine:156)
- From daily extremes: percentage of the daily high–low range covered: (Trader-Assistant.pine:159)
3) Trading signals
- Long signal (💪) when ATR exhaustion is below the long threshold (default 30%)
- Short signal (✋) when ATR exhaustion is above the short threshold (default 70%)
- Color coding: green for long, red for short
4) Risk management levels
- From daily Open:
- Maximum: (Trader-Assistant.pine:166)
- Minimum: (Trader-Assistant.pine:167)
- Stop-loss: percentage of daily ATR (default 10%)
- Take-profit: multiple of stop-loss (default 4x)
- Slippage: percentage of stop-loss (default 10%)
- From daily High/Low:
- Maximum: (Trader-Assistant.pine:162)
- Minimum: (Trader-Assistant.pine:163)
- Intra-day granularity via 5-minute ATR: (Trader-Assistant.pine:170) over 30 bars, with corresponding SL/TP/slippage derived from it
5) Volume analysis
- Daily notional volume is built by summing 24 hourly bars: (Trader-Assistant.pine:142)
- Human-friendly K/M/B formatting of numbers
- Liquidity filter: line turns red when volume is below the configurable threshold (default 30M)
- Optional display toggle
Visualization
Table content (bottom-left of the chart), three columns:
- Columns: label, “From Open”, “From High/Low”
- Rows:
- Today’s maximum with ATR: “From Open” vs “From Low”
- Stop-loss: daily ATR vs 5-minute ATR
- Take-profit: daily ATR vs 5-minute ATR
- Slippage: daily ATR vs 5-minute ATR
- Today’s minimum with ATR: “From Open” vs “From High”
- Day volume (optional): value and color-coded sufficiency
- ATR value
- ATR exhaustion: percentage with emoji signal in both columns
Display settings and color cues
- Adjustable font size (0–3)
- Blue for max/min rows
- Green/red for signal rows
- Red for insufficient volume
Configurable inputs
ATR:
- Number of bars for ATR
- Upper/lower deviation limits for outlier handling (as inputs)
- Stop-loss size (% of daily ATR)
- Take-profit multiplier
- Slippage as % of stop-loss
Signals:
- Long threshold (% ATR exhaustion)
- Short threshold (% ATR exhaustion)
Volume:
- Toggle display
- Average period and averaging type (inputs exist; not used in current calculations)
- Minimum day volume threshold (in millions)
Technical notes
- Multi-timeframe aggregation via (Trader-Assistant.pine:107) for daily and 5-minute data
- Tick-accurate formatting with (Trader-Assistant.pine:34) and (Trader-Assistant.pine:37)
- Direct hourly summation for daily volume for simplicity and clarity: (Trader-Assistant.pine:142)
- Table adapts the number of rows based on whether volume is shown
Intended use
- Intraday trading: identify entry timing based on daily ATR exhaustion
- Risk management: automatic SL/TP/slippage calculations
- Trade filtering: ensure sufficient liquidity before acting
- Volatility assessment: track current movement relative to average daily range
Smooth Cloud Trend Filter (20/50 EMA)The Smooth Cloud indicator visualizes market trend direction using two Exponential Moving Averages (EMAs): a Fast EMA (20-period) and a Slow EMA (50-period).
The area between these averages forms a shaded cloud that changes color according to the trend bias:
🟢 Green Cloud: Fast EMA is above the Slow EMA → Bullish trend.
🔴 Red Cloud: Fast EMA is below the Slow EMA → Bearish trend.
On this chart, the cloud remains green for most of the period, reflecting a strong and persistent uptrend.
During minor pullbacks, the transitions stay smooth, showing that the trend filter reacts steadily without excessive noise.
Price action consistently holds above the cloud from late September through early October, indicating sustained buyer control and bullish momentum.
This view focuses solely on the trend structure provided by the Smooth Cloud.
While other modules of the full system (such as the RSI Liquidity Spectrum and Zig Zag++ Volume Profile) add momentum and liquidity context, the Smooth Cloud alone highlights clear directional bias and trend strength.
When the price trades above a green cloud, traders often look for long opportunities on pullbacks or RSI confirmations.
A red cloud flip would signal a possible trend reversal or weakening momentum, suggesting short setups instead.
The thickness of the cloud also offers visual insight — thicker clouds indicate stronger trend momentum, while thinner ones suggest consolidation or indecision.