Scalper's Fractal Cloud with RSI + VWAP + MACD (Fixed)Scalper’s Fractal Confluence Dashboard
1. Purpose of the Indicator
This TradingView indicator script provides a high-confluence setup for scalping and day trading. It blends momentum indicators (RSI, MACD), trend bias tools (EMA Cloud, VWAP), and structure (fractal swings, gap zones) to help confirm precise entries and exits.
2. Components of the Indicator
- EMA Cloud (50 & 200 EMA): Trend bias – green means bullish, red means bearish. Avoid longs under red cloud.
- VWAP: Institutional volume anchor. Ideal entries are pullbacks to VWAP in direction of trend.
- Gap Zones: Shows open-air zones (white space) where price can move fast. Used to anticipate momentum moves.
- ZigZag Swings: Marks structural pivots (highs/lows) – useful for stop placement and range anticipation.
- MACD Histogram: Shows bullish or bearish momentum via background color.
- RSI: Overbought (>70) or oversold (<30) warnings. Good for exits or countertrend reversion plays.
- EMA Spread Label: Quick view of momentum strength. Wide spread = strong trend.
3. Scalping Entry Checklist
Before entering a trade, confirm these conditions:
• • Bias: EMA cloud color supports trade direction
• • Price is above/below VWAP (confirming institutional flow)
• • MACD histogram matches direction (green for long, red for short)
• • RSI not at extreme (unless you’re fading trend)
• • If entering gap zone, expect fast move
• • Recent swing high/low nearby for target or stop
4. Risk & Sizing Guidelines
Risk 1–2% of account per trade. Place stop below recent swing low (for longs) or high (for shorts). Use fractional sizing near VWAP or white space zones for scalping reversals.
5. Daily Trade Journal Template
- Date:
- Ticker:
- Setup Type (VWAP pullback, Gap Break, EMA reversion):
- Entry Time:
- Bias (Green/Red Cloud):
- RSI Level / MACD Reading:
- Stop Loss:
- Target:
- Result (P/L):
- What I Did Well:
- What Needs Work:
Bands and Channels
Green*DiamondGreen*Diamond (GD1)
Unleash Dynamic Trading Signals with Volatility and Momentum
Overview
GreenDiamond is a versatile overlay indicator designed for traders seeking actionable buy and sell signals across various markets and timeframes. Combining Volatility Bands (VB) bands, Consolidation Detection, MACD, RSI, and a unique Ribbon Wave, it highlights high-probability setups while filtering out noise. With customizable signals like Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, plus vibrant candle and volume visuals, GreenDiamond adapts to your trading style—whether you’re scalping, day trading, or swing trading.
Key Features
Volatility Bands (VB): Plots dynamic upper and lower bands to identify breakouts or reversals, with toggleable buy/sell signals outside consolidation zones.
Consolidation Detection: Marks low-range periods to avoid choppy markets, ensuring signals fire during trending conditions.
MACD Signals: Offers flexible buy/sell conditions (e.g., cross above signal, above zero, histogram up) with RSI divergence integration for precision.
RSI Filter: Enhances signals with customizable levels (midline, oversold/overbought) and bullish divergence detection.
Ribbon Wave: Visualizes trend strength using three EMAs, colored by MACD and RSI for intuitive momentum cues.
Custom Signals: Includes Green-Yellow Buy, Pullback Sell, and Inverse Pullback Buy, with limits on consecutive signals to prevent overtrading.
Candle & Volume Styling: Blends MACD/RSI colors on candles and scales volume bars to highlight momentum spikes.
Alerts: Set up alerts for VB signals, MACD crosses, Green*Diamond signals, and custom conditions to stay on top of opportunities.
How It Works
Green*Diamond integrates multiple indicators to generate signals:
Volatility Bands: Calculates bands using a pivot SMA and standard deviation. Buy signals trigger on crossovers above the lower band, sell signals on crossunders below the upper band (if enabled).
Consolidation Filter: Suppresses signals when candle ranges are below a threshold, keeping you out of flat markets.
MACD & RSI: Combines MACD conditions (e.g., cross above signal) with RSI filters (e.g., above midline) and optional volume spikes for robust signals.
Custom Logic: Green-Yellow Buy uses MACD bullishness, Pullback Sell targets retracements, and Inverse Pullback Buy catches reversals after downmoves—all filtered to avoid consolidation.
Visuals: Ribbon Wave shows trend direction, candles blend momentum colors, and volume bars scale dynamically to confirm signals.
Settings
Volatility Bands Settings:
VB Lookback Period (20): Adjust to 10–15 for faster markets (e.g., 1-minute scalping) or 25–30 for daily charts.
Upper/Lower Band Multiplier (1.0): Increase to 1.5–2.0 for wider bands in volatile stocks like AEHL; decrease to 0.5 for calmer markets.
Show Volatility Bands: Toggle off to reduce chart clutter.
Use VB Signals: Enable for breakout-focused trades; disable to focus on Green*Diamond signals.
Consolidation Settings:
Consolidation Lookback (14): Set to 5–10 for small caps (e.g., AEHL) to catch quick consolidations; 20 for higher timeframes.
Range Threshold (0.5): Lower to 0.3 for stricter filtering in choppy markets; raise to 0.7 for looser signals.
MACD Settings:
Fast/Slow Length (12/26): Shorten to 8/21 for scalping; extend to 15/34 for swing trading.
Signal Smoothing (9): Reduce to 5 for faster signals; increase to 12 for smoother trends.
Buy/Sell Signal Options: Choose “Cross Above Signal” for classic MACD; “Histogram Up” for momentum plays.
Use RSI Div + MACD Cross: Enable for high-probability reversal signals.
RSI Settings:
RSI Period (14): Drop to 10 for 1-minute charts; raise to 20 for daily.
Filter Level (50): Set to 55 for stricter buys; 45 for sells.
Overbought/Oversold (70/30): Tighten to 65/35 for small caps; widen to 75/25 for indices.
RSI Buy/Sell Options: Select “Bullish Divergence” for reversals; “Cross Above Oversold” for momentum.
Color Settings:
Adjust bullish/bearish colors for visibility (e.g., brighter green/red for dark themes).
Border Thickness (1): Increase to 2–3 for clearer candle outlines.
Volume Settings:
Volume Average Length (20): Shorten to 10 for scalping; extend to 30 for swing trades.
Volume Multiplier (2.0): Raise to 3.0 for AEHL’s volume surges; lower to 1.5 for steady stocks.
Bar Height (10%): Increase to 15% for prominent bars; decrease to 5% to reduce clutter.
Ribbon Settings:
EMA Periods (10/20/30): Tighten to 5/10/15 for scalping; widen to 20/40/60 for trends.
Color by MACD/RSI: Disable for simpler visuals; enable for dynamic momentum cues.
Gradient Fill: Toggle on for trend clarity; off for minimalism.
Custom Signals:
Enable Green-Yellow Buy: Use for momentum confirmation; limit to 1–2 signals to avoid spam.
Pullback/Inverse Pullback % (50): Set to 30–40% for small caps; 60–70% for indices.
Max Buy Signals (1): Increase to 2–3 for active markets; keep at 1 for discipline.
Tips and Tricks
Scalping Small Caps (e.g., AEHL):
Use 1-minute charts with VB Lookback = 10, Consolidation Lookback = 5, and Volume Multiplier = 3.0 to catch $0.10–$0.20 moves.
Enable Green-Yellow Buy and Inverse Pullback Buy for quick entries; disable VB Signals to focus on Green*Diamond logic.
Pair with SMC+ green boxes (if you use them) for reversal confirmation.
Day Trading:
Try 5-minute charts with MACD Fast/Slow = 8/21 and RSI Period = 10.
Enable RSI Divergence + MACD Cross for high-probability setups; set Max Buy Signals = 2.
Watch for volume bars turning yellow to confirm entries.
Swing Trading:
Use daily charts with VB Lookback = 30, Ribbon EMAs = 20/40/60.
Enable Pullback Sell (60%) to exit after rallies; disable RSI Color for cleaner candles.
Check Ribbon Wave gradient for trend strength—bright green signals strong bulls.
Avoiding Noise:
Increase Consolidation Threshold to 0.7 on volatile days to skip false breakouts.
Disable Ribbon Wave or Volume Bars if the chart feels crowded.
Limit Max Buy Signals to 1 for disciplined trading.
Alert Setup:
In TradingView’s Alerts panel, select:
“GD Buy Signal” for standard entries.
“RSI Div + MACD Cross Buy” for reversals.
“VB Buy Signal” for breakout plays.
Set to “Once Per Bar Close” for confirmed signals; “Once Per Bar” for scalping.
Backtesting:
Replay on small caps ( Float < 5M, Price $0.50–$5) to test signals.
Focus on “GD Buy Signal” with yellow volume bars and green Ribbon Wave.
Avoid signals during gray consolidation squares unless paired with RSI Divergence.
Usage Notes
Markets: Works on stocks, forex, crypto, and indices. Best for volatile assets (e.g., small-cap stocks, BTCUSD).
Timeframes: Scalping (1–5 minutes), day trading (15–60 minutes), or swing trading (daily). Adjust settings per timeframe.
Risk Management: Combine with stop-losses (e.g., 1% risk, $0.05 below AEHL entry) and take-profits (3–5%).
Customization: Tweak inputs to match your strategy—experiment in replay to find your sweet spot.
Disclaimer
Green*Diamond is a technical tool to assist with trade identification, not a guarantee of profits. Trading involves risks, and past performance doesn’t predict future results. Always conduct your own analysis, manage risk, and test settings before live trading.
Feedback
Love Green*Diamond? Found a killer setup?
Volume & ATR Projection Tracker w/ Table & Alerts# README: Volume & ATR Projection Tracker (Pine Script Indicator)
## Overview
This Pine Script indicator for TradingView is designed to help traders analyze volume activity and potential short-term price volatility. It plots volume bars, calculates a moving average of volume, highlights unusual volume spikes (differentiating between up and down bars), and projects potential price ranges for upcoming hours based on Average True Range (ATR). It also provides a status table and configurable alerts.
**Disclaimer:** This indicator provides informational analysis and projections based on historical data and volatility. It does **not** provide guaranteed price predictions or financial advice. Trading involves substantial risk. Always do your own research and consult with a qualified financial advisor.
## Features
* **Volume Plotting:** Displays volume as a histogram in a separate panel.
* **Volume Moving Average:** Calculates and plots a configurable MA (SMA, EMA, WMA) of volume.
* **Unusual Volume Detection:** Identifies bars where volume significantly exceeds its moving average (based on a user-defined multiplier).
* **Differentiated Volume Analysis:**
* Colors volume bars differently based on whether unusual volume occurred on an up-bar (Close > Open), down-bar (Close < Open), or neutral bar (Close == Open).
* Plots different spike markers (up/down triangles) on the price chart for unusual volume on up/down bars.
* **ATR Volatility Projections:**
* Calculates the Average True Range (ATR) as a measure of recent volatility.
* Projects a potential price range (Close +/- ATR \* Multiplier) for a specified number of future hours.
* Plots these ranges as dashed lines and labels on the price chart.
* **Important:** These are volatility-based *ranges*, not directional predictions.
* **Status Table:** Displays a concise summary table on the chart including:
* Current Volume Status (Normal, High (Up), High (Down), High (Neut)).
* Current Volume compared to its MA (as a percentage).
* The projected ATR range for the next hour.
* **Configurable Alerts:** Provides alert conditions for:
* Unusual Volume detection.
* Volume crossing above its MA.
* Volume crossing below its MA.
* **Customizable Inputs:** Allows users to configure MA settings, volume threshold, ATR settings, projection hours, trading session times, and colors.
## How it Works
1. **Volume Analysis:**
* Calculates a Moving Average (SMA, EMA, or WMA) of the volume over a specified length (`MA Length`).
* Compares the current bar's volume to this MA. If `Volume > MA * Unusual Vol Multiplier`, the volume is flagged as "unusual".
* Checks if the unusual volume occurred on a bar where `Close > Open` (Up), `Close < Open` (Down), or `Close == Open` (Neutral).
* Colors the volume bars and plots spike markers based on this differentiated status.
2. **ATR Projections:**
* Calculates the ATR over a specified length (`ATR Length`).
* At the start of each hour *within the defined Trading Session*:
* Calculates an upper projection level: `Current Close + (Current ATR * ATR Multiplier)`.
* Calculates a lower projection level: `Current Close - (Current ATR * ATR Multiplier)`.
* Stores these levels for the specified number of `Projection Hours Ahead`.
* Draws dashed lines and labels on the price chart representing these hourly ranges for the future, but only if they are within TradingView's 500-bar drawing limit from the current bar.
3. **Status Table:**
* Updates on the last bar of the chart.
* Displays the current differentiated volume status, the percentage difference between current volume and its MA, and the calculated ATR range for the *next* hour.
4. **Alerts:**
* Uses `alertcondition()` to create trigger conditions based on `unusualVolumeBase`, `vol_cross_above`, and `vol_cross_below`. Users can create alerts based on these conditions in the TradingView UI.
## Input Settings
The indicator settings are organized into groups:
**Group 1: Volume Analysis Settings**
* **MA Length:** (Default: 20) Number of bars for the volume MA calculation.
* **MA Type:** (Default: SMA) Type of moving average (SMA, EMA, WMA).
* **Unusual Vol Multiplier:** (Default: 2.0) Threshold for detecting unusual volume (Volume > MA * Multiplier).
* **Show Volume Spikes:** (Default: true) Toggle visibility of triangle markers on the price chart.
* **Show Volume MA:** (Default: true) Toggle visibility of the MA line on the volume panel.
**Group 2: ATR Projection Settings**
* **ATR Length:** (Default: 14) Number of bars for the ATR calculation.
* **ATR Multiplier:** (Default: 1.5) Factor applied to ATR to determine the projection range width. Higher values create wider ranges.
* **Projection Hours Ahead:** (Default: 8) How many hours forward to calculate and display projections.
* **Show Projections:** (Default: true) Toggle visibility of projection lines and labels on the price chart.
**Group 3: Session & Colors**
* **Trading Session:** (Default: "0930-1600") Defines the hours during which projections are calculated. **Crucial:** Format is HHMM-HHMM based on the exchange timezone (see Timezone Note below).
* **Normal Vol Color:** (Default: blue) Color for volume bars when volume is not unusual.
* **Volume MA Color:** (Default: yellow) Color of the volume MA line.
* **Unusual Vol (Up Bar) Color:** (Default: light green) Color for unusual volume bars where Close > Open.
* **Unusual Vol (Down Bar) Color:** (Default: light red) Color for unusual volume bars where Close < Open.
* **Unusual Vol (Neutral Bar) Color:** (Default: light gray) Color for unusual volume bars where Close == Open.
* **Projection Line Color:** (Default: orange) Color of the dashed projection range lines.
* **Proj Label Bg Color:** (Default: semi-transparent gray) Background color for projection labels.
* **Proj Label Text Color:** (Default: white) Text color for projection labels.
## Timezone Note
The `Trading Session` input relies on a timezone setting within the `is_in_session` function in the code (currently hardcoded to `"UTC-4"` as an example for US Eastern Time). **You may need to edit the script code** to change this timezone string (e.g., `"America/New_York"`, `"Europe/London"`, `"Asia/Tokyo"`) to match the exchange time of the instrument you are trading. Consult Pine Script documentation for valid timezone strings.
## Limitations
* **Drawing Limit:** TradingView limits drawing objects (lines, labels) to a maximum of ~500 bars into the future from the current bar. On lower timeframes, the script automatically stops drawing projections that exceed this limit.
* **Projection vs. Prediction:** The ATR ranges are based on past volatility and are *not* price predictions. The market can easily move outside these projected ranges.
* **Alerts:** Alerts for price crossing the projected future levels are not implemented due to technical complexity in Pine Script.
## Disclaimer
Trading financial markets involves substantial risk of loss and is not suitable for all investors. The information provided by this indicator is for educational and informational purposes only and does not constitute financial advice, investment advice, trading advice, or any other sort of advice. You should not make any investment decision based solely on the information provided by this indicator. Past performance is not indicative of future results.
Michael's EMA (Selectable TF) by Koenigsegg📌 Michael’s EMA (Selectable TF) by Koenigsegg
A multi-timeframe EMA crossover trend tool for clear market direction.
🔍 CORE LOGIC & PURPOSE
This indicator visualizes the trend based on two Exponential Moving Averages (EMAs) — fast and slow — from a user-defined timeframe.
Referencing a higher timeframe strengthens the trend signal and reduces the noise from short-term volatility.
Perfect for traders seeking cleaner entries and exits , especially those who get faked out by lower timeframe chop.
✅ KEY FEATURES
1. Multi-Timeframe EMA Calculation
- Fetches EMAs from any timeframe using `request.security()`.
- Selecting a higher timeframe makes signals more meaningful and decisive .
2. Customizable EMAs
- Small EMA (default: 12) and Big EMA (default: 21).
- Clear logic:
- Uptrend = Small EMA ≥ Big EMA
- Downtrend = Small EMA < Big EMA
3. Dynamic Trend Coloring
- EMAs change color based on the trend:
- Uptrend: Green (customizable)
- Downtrend: Red (customizable)
4. Crossover Detection & Arrows
- Clean visual arrows on trend flips only.
- Optional visibility, customizable size & color.
- Built with a debounce mechanic to avoid spam signals.
5. Built-In Alerts
- Trend Up Alert when fast EMA crosses above slow EMA.
- Trend Down Alert when fast EMA crosses below slow EMA.
- Compatible with automation, bots, and manual strategies.
⚠️ PRO TIP
Using a higher timeframe (e.g., 1H on a 15m chart, or 15m on a 5m chart as visually represented on the chart) makes trend flips more decisive and reliable, helping you avoid being faked out by short-term volatility. When the higher TF flips red — that’s your true trend shift, not just noise.
🏷️ HASHTAGS
#EMA #MovingAverage #MultiTimeframe #TrendIndicator #TradingViewScript #TradingTools
#TechnicalAnalysis #PriceAction #ForexTrader #CryptoTrader #StockTrader
#AlgoTrading #TrendFlip #SmartMoney #SwingTrading #DayTrading #MarketStructure #TradingEdge #ProfMichaelG #Koenigsegg #Bitcoin
⚠️ DISCLAIMER
This script is provided for educational and informational purposes only .
It does not constitute financial advice , investment advice, or a recommendation to buy or sell any financial instruments.
Always do your own research and consult with a licensed financial advisor before making any trading decisions.
Use this tool at your own risk.
Stochastic Overlay - Regression Channel (Zeiierman)█ Overview
The Stochastic Overlay – Regression Channel (Zeiierman) is a next-generation visualization tool that transforms the traditional Stochastic Oscillator into a dynamic price-based overlay.
Instead of leaving momentum trapped in a lower subwindow, this indicator projects the Stochastic oscialltor directly onto price itself — allowing traders to visually interpret momentum, overbought/oversold conditions, and market strength without ever taking their eyes off price action.
⚪ In simple terms:
▸ The Bands = The Stochastic Oscillator — but on price.
▸ The Midline = Stochastic 50 level
▸ Upper Band = Stochastic Overbought Threshold
▸ Lower Band = Stochastic Oversold Threshold
When the price moves above the midline → it’s the same as the oscillator moving above 50
When the price breaks above the upper band → it’s the same as Stochastic entering overbought.
When the price reaches the lower band →, think of it like Stochastic being oversold.
This makes market conditions visually intuitive. You’re literally watching the oscillator live on the price chart.
█ How It Works
The indicator layers 3 distinct technical elements into one clean view:
⚪ Stochastic Momentum Engine
Tracks overbought/oversold conditions and directional strength using:
%K Line → Momentum of price
%D Line → Smoothing filter of %K
Overbought/Oversold Bands → Highlight potential reversal zones
⚪ Volatility Adaptive Bands
Dynamic bands plotted above and below price using:
ATR * Stochastic Scaling → Creates wider bands during volatile periods & tighter bands in calm conditions
Basis → Moving average centerline (EMA, SMA, WMA, HMA, RMA selectable)
This means:
→ In strong trends: Bands expand
→ In consolidations: Bands contract
⚪ Regression Channel
Projects trend direction with different models:
Logarithmic → Captures non-linear growth (perfect for crypto or exponential stocks)
Linear → Classic regression fit
Adaptive → Dynamically adjusts sensitivity
Leading → Projects trend further ahead (aggressive mode)
Channels include:
Midline → Fair value trend
Upper/Lower Bounds → Deviation-based support/resistance
⚪ Heatmap - Bull & Bear Power Strength
Visual heatmeter showing:
% dominance of bulls vs bears (based on close > or < Band Basis)
Automatic normalization regardless of timeframe
Table display on-chart for quick visual insight
Dynamic highlighting when extreme levels are reached
⚪ Trend Candlestick Coloring
Bars auto-color based on trend filter:
Above Basis → Bullish Color
Below Basis → Bearish Color
█ How to Use
⚪ Trend Trading
→ Use Band direction + Regression Channel to identify trend alignment
→ Longs favored when price holds above the Basis
→ Shorts favored when price stays below the Basis
→ Use the Bull & Bear heatmap to asses if the bulls or the bears are in control.
⚪ Mean Reversion
→ Look for price to interact with Upper or Lower Band extremes
→ Stochastic reaching OB/OS zones further supports reversals
⚪ Momentum Confirmation
→ Crossovers between %K and %D can confirm continuation or divergence signals
→ Especially powerful when happening at band boundaries
⚪ Strength Heatmap
→ Quickly visualize current buyer vs seller control
→ Sharp spikes in Bull Power = Aggressive buying
→ Sharp spikes in Bear Power = Heavy selling pressure
█ Why It Useful
This is not a typical Stochastic or regression tool. The tool is designed for traders who want to:
React dynamically to price volatility
Map momentum into volatility context
Use adaptive regression channels across trend styles
Visualize bull vs bear power in real-time
Follow trends with built-in reversal logic
█ Settings
Stochastic Settings
Stochastic Length → Period of calculation. Higher = smoother, Lower = faster signals.
%K Smoothing → Smooths the Stochastic line itself.
%D Smoothing → Smooths the moving average of %K for slower signals.
Stochastic Band
Band Length → Length of the Moving Average Basis.
Volatility Multiplier → Controls band width via ATR scaling.
Band Type → Choose MA type (EMA, SMA, WMA, HMA, RMA).
Regression Channel
Regression Type → Logarithmic / Linear / Adaptive / Leading.
Regression Length → Number of bars for regression calculation.
Heatmap Settings
Heatmap Length → Number of bars to calculate bull/bear dominance.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
MACD Z-ScoreMACD Z-Score Indicator Description
This indicator takes the traditional MACD and converts its histogram into a standardized z‑score. It does so by first calculating the MACD using a fast and a slow moving average (which you can choose to compute with either SMA or EMA). The MACD histogram is then derived as the difference between the MACD line and a signal line (again, with your choice of smoothing method).
Next, the indicator computes a z‑score of that histogram over a user‑defined lookback period. In simple terms, it measures how far (in terms of standard deviations) the current histogram value deviates from its average. This standardization makes it easier to compare the MACD’s momentum across different assets or timeframes. There’s also an option to further smooth the z‑score with an EMA to reduce noise.
Finally, the indicator plots the resulting z‑score along with horizontal reference lines at key levels (such as 1, -1, 2, -2, 3, and -3) and changes the background color when the z‑score exceeds a high threshold (above 2) or drops below a low threshold (below -2), providing a visual cue for potential long or short conditions.
This indicator is ideal for traders looking for a normalized way to assess momentum, helping them to easily spot when the MACD histogram deviates significantly from its typical range.
STH-MVRV Bollinger BandsSTH-MVRV Bollinger Bands
🛠️ Detailes
This proprietary indicator seamlessly integrates on-chain data with advanced volatility metrics to construct adaptive Bollinger Bands that overlay directly on the price chart. Here’s a breakdown of its technical components:
Data Integration:
On-chain & Index Data: Utilizes BTC_MVRV (on-chain metric) and INDEX:BTCUSD (market index) to compute the STH-MVRV ratio.
Smoothing: Data series are smoothed with a configurable SMA (Simple Moving Average) over a user-defined period to reduce noise.
Ratio Computation:
Forms: Calculates three ratio variants:
STH-MVRV (MVRV)
STH-MVRV (Price)
STH-MVRV (AVG)
Dynamic Selection: The user can select the desired ratio from a dropdown menu.
Bollinger Bands Construction:
Basis & Deviation:
The basis is derived using the SMA of the selected ratio (or price, if substituted).
The standard deviation is scaled by a multiplier to form the upper and lower bands.
🟢 Green: When the selected ratio is ≥ 1 (bullish condition).
🔴 Red: When the selected ratio is < 1 (bearish condition).
Usage Recommendations:
Parameter Tuning: Adjust the moving average period, band length, and standard deviation multiplier to tailor the indicator to specific market conditions.
Multi-Timeframe Analysis: Combine with other technical indicators for a comprehensive risk management and trade execution strategy.
Price Position Percentile (PPP)
Price Position Percentile (PPP)
A statistical analysis tool that dynamically measures where current price stands within its historical distribution. Unlike traditional oscillators, PPP adapts to market conditions by calculating percentile ranks, creating a self-adjusting framework for identifying extremes.
How It Works
This indicator analyzes the last 200 price bars (customizable) and calculates the percentile rank of the current price within this distribution. For example, if the current price is at the 80th percentile, it means the price is higher than 80% of all prices in the lookback period.
The indicator creates five dynamic zones based on percentile thresholds:
Extremely Low Zone (<5%) : Prices in the lowest 5% of the distribution, indicating potential oversold conditions.
Low Zone (5-25%) : Accumulation zone where prices are historically low but not extreme.
Neutral Zone (25-75%) : Fair value zone representing the middle 50% of the price distribution.
High Zone (75-95%) : Distribution zone where prices are historically high but not extreme.
Extremely High Zone (>95%) : Prices in the highest 5% of the distribution, suggesting potential bubble conditions.
Mathematical Foundation
Unlike fixed-threshold indicators, PPP uses a non-parametric approach:
// Core percentile calculation
percentile = (count_of_prices_below_current / total_prices) * 100
// Threshold calculation using built-in function
p_extremely_low = ta.percentile_linear_interpolation(source, lookback, 5)
p_low = ta.percentile_linear_interpolation(source, lookback, 25)
p_neutral_high = ta.percentile_linear_interpolation(source, lookback, 75)
p_extremely_high = ta.percentile_linear_interpolation(source, lookback, 95)
Key Features
Dynamic Adaptation : All zones adjust automatically as price distribution changes
Statistical Robustness : Works on any timeframe and any market, including highly volatile cryptocurrencies
Visual Clarity : Color-coded zones provide immediate visual context
Non-parametric Analysis : Makes no assumptions about price distribution shape
Historical Context : Shows how zones evolved over time, revealing market regime changes
Practical Applications
PPP provides objective statistical context for price action, helping traders make more informed decisions based on historical price distribution rather than arbitrary levels.
Value Investment : Identify statistically significant low prices for potential entry points
Risk Management : Recognize when prices reach historical extremes for profit taking
Cycle Analysis : Observe how percentile zones expand and contract during different market phases
Market Regime Detection : Identify transitions between accumulation, markup, distribution, and markdown phases
Usage Guidelines
This indicator is particularly effective when:
- Used across multiple timeframes for confirmation
- Combined with volume analysis for validation of extremes
- Applied in conjunction with trend identification tools
- Monitored for divergences between price action and percentile ranking
Volume Range Map [BigBeluga]This volume-based tool identifies the highest and lowest price extremes within a lookback period and constructs two dynamic range zones. Each zone is filled with horizontal volume profiles that visualize the distribution of traded volume across price bins, helping traders pinpoint key areas of accumulation and distribution.
🔵Key Features:
Dynamic High/Low Zones:
➣ Automatically detects the highest and lowest price levels within a custom lookback window.
➣ Draws two shaded zones: one near the high and one near the low, representing potential supply and demand areas.
Volume Profiles per Zone:
➣ Each zone is filled with a volume profile histogram divided into bins.
➣ The length of each horizontal bar represents the relative volume traded at that price level.
➣ Bins collectively account for 100% of the zone’s volume.
POC Highlighting:
➣ The price bin with the highest volume is marked as the Point of Control (POC), along with a label showing its share of total volume in percentage.
➣ A dashed line is drawn at the middle level of the zone.
Customizable Display:
➣ Traders can adjust the number of bins, zone width, and toggle midline visibility to match their strategy needs.
➣ Colors of upper and lower volume zones are fully customizable.
🔵Usage:
Supply/Demand Analysis: Use upper/lower volume zones to find key reversal or continuation areas where market participants were most active.
Volume Confirmation: Confirm breakout or rejection trades by watching how price reacts to high-volume areas inside each zone.
POC Strategy: Treat POC levels as magnet zones — price tends to revisit them due to high liquidity.
Trade Planning: Use volume-weighted levels instead of raw price action to plan entries, stop-losses, and targets.
Volume Range Map offers a clean and powerful way to analyze volume distribution at price extremes. By combining precise volume histograms, POC highlights, and adaptive zone drawing, it brings market structure into sharper focus for range and breakout traders alike.
Hamid Double RSIRSI with Moving Average and Another RSI
This script combines two Relative Strength Index (RSI) indicators with configurable moving averages. It allows traders to track momentum and market strength with adjustable periods for both the RSI and moving averages. The script also allows you to choose different data sources for each RSI, offering flexibility in analysis.
Features:
Two RSIs: One with a shorter period and another with a longer period .
Moving Averages: Each RSI has its own configurable moving average . The moving averages help smooth out the RSI and provide clearer trends.
Customizable Inputs: Adjust the RSI period and the length of the moving averages. You can also choose different sources for each RSI (e.g., close, open, high, low).
Mid Line: A horizontal line at 50, which is commonly used as the neutral level for the RSI. It helps identify whether the RSI is above or below neutral, indicating bullish or bearish conditions.
Overbought and Oversold Levels: Horizontal lines at 70 (overbought) and 30 (oversold) to highlight when the asset might be overbought or oversold according to the RSI.
How it works:
RSI Calculation: The script calculates two RSIs using different lengths
Moving Averages: A Simple Moving Average (SMA) is applied to both RSIs to smooth their values and help identify trends.
Overbought/Oversold Indicators: The script includes horizontal lines at 70 and 30 to show overbought and oversold conditions. The mid line is plotted at 50 to highlight neutral levels.
This indicator is useful for traders who want to compare the behavior of two RSIs over different time periods and use the moving averages to filter out noise. The ability to customize the source data for each RSI makes this script adaptable to different trading strategies.
Multi-Timeframe Anchored VWAP Valuation# Multi-Timeframe Anchored VWAP Valuation
## Overview
This indicator provides a unique perspective on potential price valuation by comparing the current price to the Volume Weighted Average Price (VWAP) anchored to the start of multiple timeframes: Weekly, Monthly, Quarterly, and Yearly. It synthesizes these comparisons into a single oscillator value, helping traders gauge if the current price is potentially extended relative to significant volume-weighted levels.
## Core Concept & Calculation
1. **Anchored VWAP:** The script calculates the VWAP separately for the current Week, Month, Quarter (3 Months), and Year (12 Months), starting the calculation from the first bar of each period.
2. **Price Deviation:** It measures how far the current `close` price is from each of these anchored VWAPs. This distance is measured in terms of standard deviations calculated *within* that specific anchor period (e.g., how many weekly standard deviations the price is away from the weekly VWAP).
3. **Deviation Score (Multiplier):** Based on this standard deviation distance, a score is assigned. The further the price is from the VWAP (in terms of standard deviations), the higher the absolute score. The indicator uses linear interpolation to determine scores between the standard deviation levels (defaulted at 1, 2, and 3 standard deviations corresponding to scores of +/-2, +/-3, +/-4, with a score of 1 at the VWAP).
4. **Timeframe Weighting:** Longer timeframes are considered more significant. The deviation scores are multiplied by fixed scalars: Weekly (x1), Monthly (x2), Quarterly (x3), Yearly (x4).
5. **Final Valuation Metric:** The weighted scores from all four timeframes are summed up to produce the final oscillator value plotted in the indicator pane.
## How to Interpret and Use
* **Histogram (Indicator Pane):**
* The main output is the histogram representing the `Final Valuation Metric`.
* **Positive Values:** Suggest the price is generally trading above its volume-weighted averages across the timeframes, potentially indicating strength or relative "overvaluation."
* **Negative Values:** Suggest the price is generally trading below its volume-weighted averages, potentially indicating weakness or relative "undervaluation."
* **Values Near Zero:** Indicate the price is relatively close to its volume-weighted averages.
* **Histogram Color:**
* The color of the histogram bars provides context based on the metric's *own recent history*.
* **Green (Positive Color):** The metric is currently *above* its recent average plus a standard deviation band (dynamic upper threshold). This highlights potentially significant "overvalued" readings relative to its normal range.
* **Red (Negative Color):** The metric is currently *below* its recent average minus a standard deviation band (dynamic lower threshold). This highlights potentially significant "undervalued" readings relative to its normal range.
* **Gray (Neutral Color):** The metric is within its typical recent range (between the dynamic upper and lower thresholds).
* **Orange Line:** Plots the moving average of the `Final Valuation Metric` itself (based on the "Threshold Lookback Period"), serving as the centerline for the dynamic thresholds.
* **On-Chart Table:**
* Provides a detailed breakdown for transparency.
* Shows the calculated VWAP, the raw deviation multiplier score, and the final weighted (adjusted) metric for each individual timeframe (W, M, Q, Y).
* Displays the current price, the final combined metric value, and a textual interpretation ("Overvalued", "Undervalued", "Neutral") based on the dynamic thresholds.
## Potential Use Cases
* Identifying potential exhaustion points when the indicator reaches statistically high (green) or low (red) levels relative to its recent history.
* Assessing whether price trends are supported by underlying volume-weighted average prices across multiple timeframes.
* Can be used alongside other technical analysis tools for confirmation.
## Settings
* **Calculation Settings:**
* `STDEV Level 1`: Adjusts the 1st standard deviation level (default 1.0).
* `STDEV Level 2`: Adjusts the 2nd standard deviation level (default 2.0).
* `STDEV Level 3`: Adjusts the 3rd standard deviation level (default 3.0).
* **Interpretation Settings:**
* `Threshold Lookback Period`: Defines the number of bars used to calculate the average and standard deviation of the final metric for dynamic thresholds (default 200).
* `Threshold StDev Multiplier`: Controls how many standard deviations above/below the metric's average are used to set the "Overvalued"/"Undervalued" thresholds (default 1.0).
* **Table Settings:** Customize the position and colors of the data table displayed on the chart.
## Important Considerations
* This indicator measures price deviation relative to *anchored* VWAPs and its *own historical range*. It is not a standalone trading system.
* The interpretation of "Overvalued" and "Undervalued" is relative to the indicator's logic and calculations; it does not guarantee future price movement.
* Like all indicators, past performance is not indicative of future results. Use this tool as part of a comprehensive analysis and risk management strategy.
* The anchored VWAP and Standard Deviation values reset at the beginning of each respective period (Week, Month, Quarter, Year).
Daily Volatility Range (DVR) [GIF]VIX as a Volatility Indicator:
The VIX is a measure of the market's expectation of volatility in the S&P 500 over the next 30 days, based on the prices of S&P 500 options.
The Rule of 16:
A VIX of 16 implies that the market expects the SPX to move up or down by roughly 1% on any given day.
If the VIX is 24, the expected daily move is around 1.5%, and with a VIX of 32, the expected move is around 2%.
The rationale for the rule is that the square root of the number of trading days in a year (approximately 252) is roughly 16.
Example:
If the VIX is at 20, the rule suggests that the SPX might see daily moves of around 1.25%.
Practical Application:
The rule of 16 can be used as a quick and easy way to estimate the potential daily volatility of the S&P 500 based on the VIX.
The Daily Volatility Range:
This indicator cross references the ticker on the chart with it's own volatility index (assuming it has one). Below are the indexes and stocks that have their own volatility index:
S&P 500
Nasdaq 100
Russell 2000
Dow Jones
TLT
Bitcoin
Gold
Crude Oil
Apple
Amazon
Google
IBM
Goldman Sachs
How I use the DVR:
Historic probabilities show that you will close the day within the DVR. However, there are times when those probabilities diminish greatly. One of those times is when you open in the RTH session outside of the DVR. If you open outside the DVR, you can look for the DVR to becomes support/resistance and stay extended outside the DVR. These days can often become muted as most of the most has happened before the market open. However, if we open outside the DVR and break back into range, it is highly probable that we will not break back into those extended ranges.
Indicator Options:
There are 2x and 3x DVR levels that can be plotted. During times of extreme volatility, it will become important to have these plotted.
There is the option to plot calculated pivot points. These are fib ranges that have historically been areas of consolidation or trend reversal. These are projections based on my own research and are not as important as the DVR levels themselves.
There is also an option to color the candles a specific color if the candle closes outside the DVR. This is to highlight the fact that price action has exceeded the range and caution should be taken.
If you have suggestions how to make this indicator better, please let me know in the comments and I will look into it. Thank you!
ATLAS Reversion Bands v2 [EMA % Spread]🧠 About the ATLAS Reversion Bands v2
I created this indicator to answer a simple question:
"When is price extended too far from trend, and likely to revert?"
The ATLAS Reversion Bands measure the percentage spread between a fast and slow EMA (default 25/200) and track how far that spread moves from its historical average using z-score and standard deviation bands—essentially building a Bollinger Band system on top of EMA distance.
Instead of relying on traditional oscillators like RSI or MACD, this tool is purely math-driven and tailored for spotting overextensions across any asset.
🔍 What It Does
Tracks the normalized spread between EMA 25 and EMA 200
Highlights statistically rare zones using ±2 and ±3 standard deviation bands
Plots BUY/SELL triangle markers only on first entry into extreme zones
Helps identify mean reversion opportunities (deep pullbacks or FOMO tops)
📈 How to Use It
Wait for the spread to hit or exceed ±2.5 or ±3 standard deviations
Look for confirmation via price structure, candles, or volume
Best used on spot or perp markets with healthy liquidity
Ideal for swing trading or narrative-based rotational setups
🕐 Recommended Timeframes
1H, 4H, and 1D are optimal
Use MTF mode to apply daily logic on lower timeframes (e.g., see 1D exhaustion while trading 4H)
Works across:
✅ BTC, ETH, Majors
✅ Meme coins (better on 1H/4H)
✅ Market indexes (TOTAL2, BTC.D, etc.)
📌 Pro Tips
Raise the Z-score alert threshold for stricter signals (e.g., 3.0 for only the wildest extensions)
Use with other confluence tools (like S/R, candles, or RSI)
Not designed for chasing trends — this is a fade-the-hype, buy-the-blood kind of tool
Multi-Timeframe Trading SystemOverview
The Multi-Timeframe Trading System is an advanced technical analysis indicator designed to identify high-probability trading opportunities by combining signals from multiple timeframes and trading strategies. This system analyzes market context, identifies optimal setups, and confirms entries with lower timeframe precision, significantly increasing signal reliability.
Key Features
Triple Timeframe Analysis: Combines high, medium, and low timeframe data for comprehensive market analysis
Three Trading Strategies in One: Incorporates trend-following, mean-reversion, and breakout strategies
Adaptive to Market Conditions: Automatically identifies the current market context (trending or ranging) and applies the appropriate strategy
Signal Strength Evaluation: Rates buy/sell signals from weak to strong based on indicator confluence
Visual Alerts: Clear buy/sell signals with on-chart markers and signal labels
Customizable Parameters: Fully adjustable settings for all indicators and timeframes
Technical Indicators Included
-Moving Averages (EMA 50, EMA 200)
-Ichimoku Cloud components
-ADX for trend strength
-RSI for momentum and oversold/overbought conditions
-Stochastic oscillator for entry timing
-MACD for trend confirmation
-Bollinger Bands for volatility and price channels
-ATR for measuring market volatility
Trading Strategies
1. Trend-Following Strategy
Identifies the primary trend direction on higher timeframes
Locates optimal pullback entry points on medium timeframes
Confirms entries with precision using lower timeframe momentum signals
2. Mean-Reversion Strategy
Activates during ranging market conditions
Identifies oversold and overbought conditions using Bollinger Bands and RSI
Confirms reversals with Stochastic crossovers
3. Breakout Strategy
Detects price consolidation periods through Bollinger Band width
Identifies volatility expansion and price breakouts
Confirms breakout direction with momentum indicators
Ideal For
Swing traders looking for high-probability setups
Day traders seeking to align with the larger trend
Traders who want systematic confirmation across multiple timeframes
Those looking to adapt their trading approach to changing market conditions
How To Use
Apply the indicator to your chart and customize the timeframe settings to match your trading style
-Observe the market context information (uptrend, downtrend, or ranging)
-Wait for a setup to form on the medium timeframe
-Enter when the low timeframe confirms the signal
-Use the signal strength rating to prioritize the highest probability trades
The Multi-Timeframe Trading System eliminates the guesswork from your trading by providing clear, objective signals based on professional-grade multi-timeframe analysis techniques.
DD Keltner Channels (1-3 ATR)This indicator creates Keltner Channels with 1, 2, and 3 ATR multipliers, allowing you to visualize different volatility levels around a moving average.
It's specifically created for people taking the "Deep Dip Buy" stock trading course, and attempts to provide a ready-to-go solution for those struggling with configuring the default Keltner indicator on TradingView to suit their needs for the course.
Any input from students or the instructor is welcome to improve this indicator so it offers more value to those looking to learn how to trade.
Features:
- Uses SMA or EMA as the base (20-period default)
- Displays 6 lines: +3, +2, +1, -1, -2, and -3 ATR levels
- Color-coded for easy identification:
• +/-1 ATR: Green
• +/-2 ATR: Light Gray (thin)
• +/-3 ATR: Dark Gray (thick)
DT_KEY_LEVELSDT_Key_Levels: Powerful Market Structure Analysis Indicator
DT_Key_Levels is an advanced indicator for fundamental market structure analysis, optimized for higher timeframes (D1, W, M). The indicator combines three powerful technical analysis tools — fractals, Fair Value Gaps (FVG), and psychological levels — in one comprehensive solution.
Three Components of the Indicator
1. Enhanced Fractal System
The indicator uses an improved version of Bill Williams' classic fractals, allowing for deeper market structure analysis:
Dual Identification System:
Standard 5-bar fractals (displayed with thick lines) for analyzing reliable support/resistance levels
Light 3-bar fractals (displayed with thin lines) for early identification of potential reversal points
Intelligent Tracking System:
Automatic detection and filtering of completed fractals
Marking fractals with corresponding timeframe designation (HTF-1D, HTF-1W, HTF-1M)
Tracking and marking the All-Time High (ATH)
2. Fair Value Gaps (FVG) System
The indicator identifies and visualizes price gaps in market structure — zones that often act as magnets for future price movements:
Precise Identification of Inefficient Zones:
Bullish FVG: when the current candle's low is above the -2 candle's high
Bearish FVG: when the current candle's high is below the -2 candle's low
Detailed Visualization:
Clear display of upper and lower boundaries of each FVG
Midline (0.5 FVG) for determining key reaction levels within the gap
Marking each FVG with "FF" (Fair value Fill) label for quick identification
Dynamic Management:
Automatic removal of FVGs when they are filled by price movement
Customizable line extension for improved tracking of target zones
3. Intelligent Psychological Levels
The indicator automatically determines key psychological levels with adaptation to the type of instrument being traded:
Specialized Calibration for Various Assets:
Forex (EUR/USD, GBP/USD, USD/JPY): optimization for standard figures and round values
Precious metals (XAUUSD): adaptation to typical gold reaction zones with a $50 step
Cryptocurrencies (BTC, ETH): dynamic step adjustment depending on current price zone
Stock indices (NASDAQ, S&P500, DAX): accounting for the movement characteristics of each index
Smart Adaptation System:
Automatic determination of the optimal step for any instrument
Generation of up to 24 key levels, evenly distributed around the current price
Intelligent filtering to display only significant levels
Practical Application
Strategic Analysis
Identifying Key Structural Levels:
Use monthly and weekly fractals to determine strategic support/resistance zones
Look for coincidences of fractals with psychological levels to identify particularly strong zones of interest
Determine long-term barriers using type 5 fractals on higher timeframes
Analysis of Market Inefficiencies:
Track the formation of FVGs as potential targets for future movements
Use FVG midlines (0.5) as important internal reaction levels
Analyze the speed of FVG filling to understand trend strength
Tactical Trading Decisions
Entry Points and Risk Management:
Use bounces from fractals in the direction of the larger trend as a signal for entry
Place stop-losses behind fractal levels or key psychological levels
Monitor the formation of new fractals as a signal of potential reversal
Determining Target Levels:
Use unfilled FVGs as natural price targets
Apply nearby psychological levels for partial position closing
Project higher timeframe fractals to determine long-term goals
Indicator Advantages
Comprehensive Approach: combining three methodologies for a complete understanding of market structure
Intelligent Adaptation: automatic adjustment to the characteristics of different types of assets
Clean Visual Presentation: despite the abundance of information, the indicator maintains clarity of display
Effective Signal Filtering: automatic removal of completed levels to reduce visual noise
Higher Timeframe Optimization: specifically designed for daily, weekly and monthly charts
Usage Recommendations
Use the indicator only on D1, W, and M timeframes for the most reliable signals
Pay special attention to areas where different types of signals coincide (e.g., fractal + psychological level)
Use higher timeframe fractals as key zones for medium and long-term trading
Track FVGs as potential target zones and focus on their filling
Transient Impact Model [ScorsoneEnterprises]This indicator is an implementation of the Transient Impact Model. This tool is designed to show the strength the current trades have on where price goes before they decay.
Here are links to more sophisticated research articles about Transient Impact Models than this post arxiv.org and arxiv.org
The way this tool is supposed to work in a simple way, is when impact is high price is sensitive to past volume, past trades being placed. When impact is low, it moves in a way that is more independent from past volume. In a more sophisticated system, perhaps transient impact should be calculated for each trade that is placed, not just the total volume of a past bar. I didn't do it to ensure parameters exist and aren’t na, as well as to have more iterations for optimization. Note that the value will change as volume does, as soon as a new candle occurs with no volume, the values could be dramatically different.
How it works
There are a few components to this script, so we’ll go into the equation and then the other functions used in this script.
// Transient Impact Model
transient_impact(params, price_change, lkb) =>
alpha = array.get(params, 0)
beta = array.get(params, 1)
lambda_ = array.get(params, 2)
instantaneous = alpha * volume
transient = 0.0
for t = 1 to lkb - 1
if na(volume )
break
transient := transient + beta * volume * math.exp(-lambda_ * t)
predicted_change = instantaneous + transient
math.pow(price_change - predicted_change, 2)
The parameters alpha, beta, and lambda all represent a different real thing.
Alpha (α):
Represents the instantaneous impact coefficient. It quantifies the immediate effect of the current volume on the price change. In the equation, instantaneous = alpha * volume , alpha scales the current bar's volume (volume ) to determine how much of the price change is due to immediate market impact. A larger alpha suggests that current volume has a stronger instantaneous influence on price.
Beta (β):
Represents the transient impact coefficient.It measures the lingering effect of past volumes on the current price change. In the loop calculating transient, beta * volume * math.exp(-lambda_ * t) shows that beta scales the volume from previous bars (volume ), contributing to a decaying effect over time. A higher beta indicates a stronger influence from past volumes, though this effect diminishes with time due to the exponential decay factor.
Lambda (λ):
Represents the decay rate of the transient impact.It controls how quickly the influence of past volumes fades over time in the transient component. In the term math.exp(-lambda_ * t), lambda determines the rate of exponential decay, where t is the time lag (in bars). A larger lambda means the impact of past volumes decays faster, while a smaller lambda implies a longer-lasting effect.
So in full.
The instantaneous term, alpha * volume , captures the immediate price impact from the current volume.
The transient term, sum of beta * volume * math.exp(-lambda_ * t) over the lookback period, models the cumulative, decaying effect of past volumes.
The total predicted_change combines these two components and is compared to the actual price change to compute an error term, math.pow(price_change - predicted_change, 2), which the script minimizes to optimize alpha, beta, and lambda.
Other parts of the script.
Objective function:
This is a wrapper function with a function to minimize so we get the best alpha, beta, and lambda values. In this case it is the Transient Impact Function, not something like a log-likelihood function, helps with efficiency for a high iteration count.
Finite Difference Gradient:
This function calculates the gradient of the objective function we spoke about. The gradient is like a directional derivative. Which is like the direction of the rate of change. Which is like the direction of the slope of a hill, we can go up or down a hill. It nudges around the parameter, and calculates the derivative of the parameter. The array of these nudged around parameters is what is returned after they are optimized.
Minimize:
This is the function that actually has the loop and calls the Finite Difference Gradient each time. Here is where the minimizing happens, how we go down the hill. If we are below a tolerance, we are at the bottom of the hill.
Applied
After an initial guess, we optimize the parameters and get the transient impact value. This number is huge, so we apply a log to it to make it more readable. From here we need some way to tell if the value is low or high. We shouldn’t use standard deviation because returns are not normally distributed, an IQR is similar and better for non normal data. We store past transient impact values in an array, so that way we can see the 25th and 90th percentiles of the data as a rolling value. If the current transient impact is above the 90th percentile, it is notably high. If below the 25th percentile, notably low. All of these values are plotted so we can use it as a tool.
Tool examples:
The idea around it is that when impact is low, there is room for big money to get size quickly and move prices around.
Here we see the price reacting in the IQR Bands. We see multiple examples where the value above the 90th percentile, the red line, corresponds to continuations in the trend, and below the 25th percentile, the purple line, corresponds to reversals. There is no guarantee these tools will be perfect, that is outlined in these situations, however there is clearly a correlation in this tool and trend.
This tool works on any timeframe, daily as we saw before, or lower like a two minute. The bands don’t represent a direction, like bullish or bearish, we need to determine that by interpreting price action. We see at open and at close there are the highest values for the transient impact. This is to be expected as these are the times with the highest volume of the trading day.
This works on futures as well as equities with the same context. Volume can be attributed to volatility as well. In volatile situations, more volatility comes in, and we can perceive it through the transient impact value.
Inputs
Users can enter the lookback value.
No tool is perfect, the transient impact value is also not perfect and should not be followed blindly. It is good to use any tool along with discretion and price action.
ICT & SMC Multi-Timeframe by [KhedrFX]Transform your trading experience with the ICT & SMC Multi-Timeframe by indicator. This innovative tool is designed for traders who want to harness the power of multi-timeframe analysis, enabling them to make informed trading decisions based on key market insights. By integrating concepts from the Inner Circle Trader (ICT) and Smart Money Concepts (SMC), this indicator provides a comprehensive view of market dynamics, helping you identify potential trading opportunities with precision.
Key Features
- Multi-Timeframe Analysis: Effortlessly switch between various timeframes (5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, daily, and weekly) to capture the full spectrum of market movements.
- High and Low Levels: Automatically calculates and displays the highest and lowest price levels over the last 20 bars, highlighting critical support and resistance zones.
- Market Structure Visualization: Identifies the last swing high and swing low, allowing you to recognize current market trends and potential reversal points.
- Order Block Detection: Detects significant order blocks, pinpointing areas of strong buying or selling pressure that can indicate potential market reversals.
- Custom Alerts: Set alerts for when the price crosses above or below identified order block levels, enabling you to act swiftly on trading opportunities.
How to Use the Indicator
1. Add the Indicator to Your Chart
- Open TradingView.
- Click on the "Indicators" button at the top of the screen.
- Search for "ICT & SMC Multi-Timeframe by " in the search bar.
- Click on the indicator to add it to your chart.
2. Select Your Timeframe
- Use the dropdown menu to choose your preferred timeframe (5, 15, 30, 60, 240, D, W) for analysis.
3. Interpret the Signals
- High Level (Green Line): Represents the highest price level over the last 20 bars, acting as a potential resistance level.
- Low Level (Red Line): Represents the lowest price level over the last 20 bars, acting as a potential support level.
- Last Swing High (Blue Cross): Indicates the most recent significant high, useful for identifying potential reversal points.
- Last Swing Low (Orange Cross): Indicates the most recent significant low, providing insight into market structure.
- Order Block High (Purple Line): Marks the upper boundary of a detected order block, suggesting potential selling pressure.
- Order Block Low (Yellow Line): Marks the lower boundary of a detected order block, indicating potential buying pressure.
4. Set Alerts
- Utilize the alert conditions to receive notifications when the price crosses above or below the order block levels, allowing you to stay informed about potential trading opportunities.
5. Implement Risk Management
- Always use proper risk management techniques. Consider setting stop-loss orders based on the identified swing highs and lows or the order block levels to protect your capital.
Conclusion
The ICT & SMC Multi-Timeframe by indicator is an essential tool for traders looking to enhance their market analysis and decision-making process. By leveraging multi-timeframe insights, market structure visualization, and order block detection, you can navigate the complexities of the market with confidence. Start using this powerful indicator today and take your trading to the next level.
⚠️ Trade Responsibly
This tool helps you analyze the market, but it’s not a guarantee of profits. Always do your own research, manage risk, and trade with caution.
Nifty Range % and Points by Time BlocksPine Script that gives you day-wise intraday range percentage for these 3 time blocks (9:16–10:45, 10:45–1:15, 1:15–3:15), we can:
Detect time blocks during the day
Track High/Low for each block
Calculate range % for each block:
\text{Range %} = \frac{(High - Low)}{\text{Previous Day Close}} \times 100
Plot / Label it on the chart at the end of each block
Nifty 1m EMA Pullback Scalper Signals
### **Master the Market with the Sniper Scalping Strategy for Nifty (1-Minute Timeframe)**
Unlock the power of precision trading with this expertly crafted **Sniper Scalping Strategy**, designed specifically for the Nifty index on a lightning-fast 1-minute timeframe. Perfect for traders who thrive on quick decisions and small, consistent profits, this strategy combines multiple indicators to deliver razor-sharp entries and exits—ideal for India’s dynamic market.
#### **Why This Strategy Stands Out**
- **Pinpoint Accuracy**: Harness the synergy of the **5 EMA and 10 EMA crossover** to lock onto the short-term trend, while the **Stochastic Oscillator (14,3,3)** times your entries and exits with surgical precision.
- **Fast and Effective**: Tailored for the 1-minute chart, this strategy capitalizes on Nifty’s volatility, targeting **10-point profits** with a tight **5-point stop-loss**—keeping your risk low and rewards high.
- **Trend + Momentum**: Blend trend-following (EMAs) with momentum signals (Stochastic) for a robust, multi-dimensional approach that cuts through market noise.
#### **How It Works**
- **Buy Signal**: Enter long when the 5 EMA crosses above the 10 EMA and the Stochastic rises above 20—catching the uptrend at its sweet spot.
- **Sell Signal**: Go short when the 5 EMA dips below the 10 EMA and the Stochastic falls below 80—riding the downtrend with confidence.
- **Exit Like a Pro**: Take profits at 10 points or when the Stochastic hits overbought/oversold extremes, ensuring you’re in and out before the market shifts.
#### **Perfect for Nifty Scalpers**
Built for the fast-paced world of Nifty trading, this strategy shines during high-volatility sessions like the market open or global overlaps. Whether you’re a beginner honing your skills or a seasoned trader seeking consistency, the Sniper Scalping Strategy offers a clear, actionable framework to scalp profits with discipline and precision.
#### **Get Started**
Test it in a demo account, refine it to your style, and watch your scalping game soar. Trade smart, stay focused, and let the Sniper Scalping Strategy turn Nifty’s 1-minute moves into your edge!
Log Regression Oscillator Channel [BigBeluga]
This unique overlay tool blends logarithmic trend analysis with dynamic oscillator behavior. It projects RSI, MFI, or Stochastic lines directly into a log regression channel on the price chart — offering an intuitive way to detect overbought/oversold momentum within the broader price structure.
🔵Key Features:
Logarithmic Regression Channel:
➣ Draws a trend-based channel using logarithmic regression, adapting to price growth curvature over time.
➣ Features upper, lower, and optional midline boundaries to visualize trend flow and range extremes.
Oscillator Overlay (RSI / MFI / Stochastic):
➣ Projects your chosen oscillator inside the channel using dynamic polylines.
➣ Allows switching between RSI, Money Flow Index, or Stochastic for versatile momentum insight.
Threshold-Based Scaling:
➣ The top and bottom of the channel represent traditional oscillator thresholds (e.g., RSI 70/30).
➣ Users can modify the scale in settings to customize what "overbought" or "oversold" means visually.
Signal Line Integration:
➣ Adds a yellow moving average (signal line) for smoother confirmation of oscillator turns.
➣ Helps identify divergence, momentum shifts, and fakeouts with better clarity.
Live Oscillator Readout:
➣ Displays the real-time oscillator value at the right edge of the chart.
➣ Ensures traders stay aware of current momentum levels without switching panels.
🔵Usage:
Momentum Context:
➣ When the oscillator touches the upper regression band, it may signal local overbought pressure.
➣ Touching the lower band may indicate oversold conditions within the current log trend.
Divergence Detection:
➣ Use the oscillator’s behavior relative to the channel slope to spot divergence from price.
➣ For example, RSI rising inside a falling channel can flag early trend shifts.
Trend-Sensitive Entries:
➣ Combine oscillator signals with log channel direction to filter trades in trend alignment.
➣ Signal line crossovers inside the channel act as early warning for momentum turns.
The Log Regression Oscillator Channel transforms how traders view classic momentum tools. By embedding oscillators into a logarithmic trend structure, it offers unmatched clarity on momentum positioning relative to price expansion. Ideal for swing traders, mean-reverters, or trend followers looking to sharpen entries and exits with style.
Volume Flow with Bollinger Bands and EMA Cross SignalsThe Volume Flow with Bollinger Bands and EMA Cross Signals indicator is a custom technical analysis tool designed to identify potential buy and sell signals based on several key components:
Volume Flow: This component combines price movement and trading volume to create a signal that indicates the strength or weakness of price movements. When the price is rising with increasing volume, it suggests strong buying activity, whereas falling prices with increasing volume indicate strong selling pressure.
Bollinger Bands: Bollinger Bands consist of three lines:
The Basis (middle line), which is a Simple Moving Average (SMA) of the price over a set period.
The Upper Band, which is the Basis plus a multiple of the standard deviation (typically 2).
The Lower Band, which is the Basis minus a multiple of the standard deviation. Bollinger Bands help identify periods of high volatility and potential overbought/oversold conditions. When the price touches the upper band, it might indicate that the market is overbought, while touching the lower band might indicate oversold conditions.
EMA Crossovers: The script includes two Exponential Moving Averages (EMAs):
Fast EMA: A shorter-term EMA, typically more sensitive to price changes.
Slow EMA: A longer-term EMA, responding slower to price changes. The crossover of the Fast EMA crossing above the Slow EMA (bullish crossover) signals a potential buy opportunity, while the Fast EMA crossing below the Slow EMA (bearish crossover) signals a potential sell opportunity.
Background Color and Candle Color: The indicator highlights the chart's background with specific colors based on the signals:
Green background for buy signals.
Yellow background for sell signals. Additionally, the candles are colored green for buy signals and yellow for sell signals to visually reinforce the trade opportunities.
Buy/Sell Labels: Small labels are placed on the chart:
"BUY" label in green is placed below the bar when a buy signal is generated.
"SELL" label in yellow is placed above the bar when a sell signal is generated.
Working of the Indicator:
Volume Flow Calculation: The Volume Flow is calculated by multiplying the price change (current close minus the previous close) with the volume. This product is then smoothed with a Simple Moving Average (SMA) over a user-defined period (length). The result is then multiplied by a multiplier to adjust its sensitivity.
Price Change = close - close
Volume Flow = Price Change * Volume
Smoothed Volume Flow = SMA(Volume Flow, length)
The Volume Flow Signal is then: Smooth Volume Flow * Multiplier
This calculation represents the buying or selling pressure in the market.
Bollinger Bands: Bollinger Bands are calculated using the Simple Moving Average (SMA) of the closing price (basis) and the Standard Deviation (stdev) of the price over a period defined by the user (bb_length).
Basis (Middle Band) = SMA(close, bb_length)
Upper Band = Basis + (bb_std_dev * Stdev)
Lower Band = Basis - (bb_std_dev * Stdev)
The upper and lower bands are plotted alongside the price to identify the price's volatility. When the price is near the upper band, it could be overbought, and near the lower band, it could be oversold.
EMA Crossovers: The Fast EMA and Slow EMA are calculated using the Exponential Moving Average (EMA) function. The crossovers are detected by checking:
Buy Signal (Bullish Crossover): When the Fast EMA crosses above the Slow EMA.
Sell Signal (Bearish Crossover): When the Fast EMA crosses below the Slow EMA.
The long_condition variable checks if the Fast EMA crosses above the Slow EMA, and the short_condition checks if it crosses below.
Visual Signals:
Background Color: The background is colored green for a buy signal and yellow for a sell signal. This gives an immediate visual cue to the trader.
Bar Color: The candles are colored green for buy signals and yellow for sell signals.
Labels:
A "BUY" label in green appears below the bar when the Fast EMA crosses above the Slow EMA.
A "SELL" label in yellow appears above the bar when the Fast EMA crosses below the Slow EMA.
Summary of Buy/Sell Logic:
Buy Signal:
The Fast EMA crosses above the Slow EMA (bullish crossover).
Volume flow is positive, indicating buying pressure.
Background turns green and candles are colored green.
A "BUY" label appears below the bar.
Sell Signal:
The Fast EMA crosses below the Slow EMA (bearish crossover).
Volume flow is negative, indicating selling pressure.
Background turns yellow and candles are colored yellow.
A "SELL" label appears above the bar.
Usage of the Indicator:
This indicator is designed to help traders identify potential entry (buy) and exit (sell) points based on:
The interaction of Exponential Moving Averages (EMAs).
The strength and direction of Volume Flow.
Price volatility using Bollinger Bands.
By combining these components, the indicator provides a comprehensive view of market conditions, helping traders make informed decisions on when to enter and exit trades.
DT_Sessions TOPDT_Sessions TOP - Powerful Trading Sessions and Key Levels Indicator
Description
DT_Sessions is a versatile TradingView indicator that displays major trading sessions and important price levels on your chart. It's ideal for traders working in forex, cryptocurrency, and stock markets, helping to visualize critical market information directly on the chart.
Key Features:
Visualization of major trading sessions: Asian, Frankfurt, London, New York (AM and PM)
Previous day high and low (PDH/PDL) tracking
Display of key psychological levels for major trading instruments
Customizable colors and styles for all indicator elements
Flexible timezone management for accurate session synchronization
Benefits of Use
Enhanced market analysis: Understanding the activity of different trading sessions helps better interpret price movements
Trading time optimization: Visual display of the most volatile market periods
Key resistance and support levels: Automatic display of psychologically significant price levels
Daily extreme monitoring: PDH/PDL help in determining the trading range
Supported Instruments
The indicator automatically recognizes popular instruments, including:
Forex pairs (EUR/USD, GBP/USD, USD/JPY)
Cryptocurrencies (Bitcoin, Ethereum)
Stock indices (DAX, NASDAQ, S&P 500, EuroStoxx50)
Precious metals (XAU/USD)
How to Use
Add the indicator to your favorite asset's chart
Observe the trading session ranges highlighted in different colors
Use PDH/PDL lines to identify significant daily levels
Pay attention to key psychological levels for your instrument
Advanced Settings
The indicator offers numerous settings for each session:
Enable/disable individual sessions
Adjust start and end times for each session
Change colors and transparency
Configure PDH/PDL display
Manage timezones and UTC offset
Effective For
Scalpers and day traders
Long-term investors tracking key levels
Algorithmic traders needing session data visualization
Beginners studying the impact of trading sessions on market activity
DT_Sessions is an essential tool for traders of all levels, providing valuable information about market dynamics and key levels directly on your TradingView chart.
Range Filter Buy and Sell 5min## **Enhanced Range Filter Strategy: A Comprehensive Overview**
### **1. Introduction**
The **Enhanced Range Filter Strategy** is a powerful technical trading system designed to identify high-probability trading opportunities while filtering out market noise. It utilizes **range-based trend filtering**, **momentum confirmation**, and **volatility-based risk management** to generate precise entry and exit signals. This strategy is particularly useful for traders who aim to capitalize on trend-following setups while avoiding choppy, ranging market conditions.
---
### **2. Key Components of the Strategy**
#### **A. Range Filter (Trend Determination)**
- The **Range Filter** smooths price fluctuations and helps identify clear trends.
- It calculates an **adjusted price range** based on a **sampling period** and a **multiplier**, ensuring a dynamic trend-following approach.
- **Uptrends:** When the current price is above the range filter and the trend is strengthening.
- **Downtrends:** When the price falls below the range filter and momentum confirms the move.
#### **B. RSI (Relative Strength Index) as Momentum Confirmation**
- RSI is used to **filter out weak trades** and prevent entries during overbought/oversold conditions.
- **Buy Signals:** RSI is above a certain threshold (e.g., 50) in an uptrend.
- **Sell Signals:** RSI is below a certain threshold (e.g., 50) in a downtrend.
#### **C. ADX (Average Directional Index) for Trend Strength Confirmation**
- ADX ensures that trades are only taken when the trend has **sufficient strength**.
- Avoids trading in low-volatility, ranging markets.
- **Threshold (e.g., 25):** Only trade when ADX is above this value, indicating a strong trend.
#### **D. ATR (Average True Range) for Risk Management**
- **Stop Loss (SL):** Placed **one ATR below** (for long trades) or **one ATR above** (for short trades).
- **Take Profit (TP):** Set at a **3:1 reward-to-risk ratio**, using ATR to determine realistic price targets.
- Ensures volatility-adjusted risk management.
---
### **3. Entry and Exit Conditions**
#### **📈 Buy (Long) Entry Conditions:**
1. **Price is above the Range Filter** → Indicates an uptrend.
2. **Upward trend strength is positive** (confirmed via trend counter).
3. **RSI is above the buy threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **📉 Sell (Short) Entry Conditions:**
1. **Price is below the Range Filter** → Indicates a downtrend.
2. **Downward trend strength is positive** (confirmed via trend counter).
3. **RSI is below the sell threshold** (e.g., 50, to confirm momentum).
4. **ADX confirms trend strength** (e.g., above 25).
5. **Volatility is supportive** (using ATR analysis).
#### **🚪 Exit Conditions:**
- **Stop Loss (SL):**
- **Long Trades:** 1 ATR below entry price.
- **Short Trades:** 1 ATR above entry price.
- **Take Profit (TP):**
- Set at **3x the risk distance** to achieve a favorable risk-reward ratio.
- **Ranging Market Exit:**
- If ADX falls below the threshold, indicating a weakening trend.
---
### **4. Visualization & Alerts**
- **Colored range filter line** changes based on trend direction.
- **Buy and Sell signals** appear as labels on the chart.
- **Stop Loss and Take Profit levels** are plotted as dashed lines.
- **Gray background highlights ranging markets** where trading is avoided.
- **Alerts trigger on Buy, Sell, and Ranging Market conditions** for automation.
---
### **5. Advantages of the Enhanced Range Filter Strategy**
✅ **Trend-Following with Noise Reduction** → Helps avoid false signals by filtering out weak trends.
✅ **Momentum Confirmation with RSI & ADX** → Ensures that only strong, valid trades are executed.
✅ **Volatility-Based Risk Management** → ATR ensures adaptive stop loss and take profit placements.
✅ **Works on Multiple Timeframes** → Effective for day trading, swing trading, and scalping.
✅ **Visually Intuitive** → Clearly displays trade signals, SL/TP levels, and trend conditions.
---
### **6. Who Should Use This Strategy?**
✔ **Trend Traders** who want to enter trades with momentum confirmation.
✔ **Swing Traders** looking for medium-term opportunities with a solid risk-reward ratio.
✔ **Scalpers** who need precise entries and exits to minimize false signals.
✔ **Algorithmic Traders** using alerts for automated execution.
---
### **7. Conclusion**
The **Enhanced Range Filter Strategy** is a powerful trading tool that combines **trend-following techniques, momentum indicators, and risk management** into a structured, rule-based system. By leveraging **Range Filters, RSI, ADX, and ATR**, traders can improve trade accuracy, manage risk effectively, and filter out unfavorable market conditions.
This strategy is **ideal for traders looking for a systematic, disciplined approach** to capturing trends while **avoiding market noise and false breakouts**. 🚀