Futures Scalping Signal by AK_Trades – RISK PROTECTED MODEFutures Scalping Signal by AK_Trades – RISK PROTECTED MODE
This precision-built scalping indicator is designed for futures traders who demand clarity, speed, and protection.
✅ Smart Signal Logic:
Based on UT Bot ATR trailing stop logic
Requires minimum price movement for confirmation
Prevents repeated signals in the same direction using trend memory
✅ Visuals That Guide You, Not Distract:
Clear Buy/Sell signals labeled on the chart
Dynamic support or resistance line always visible
Price-tagged signal entries (Buy @, Sell @)
✅ Candlestick Awareness:
Highlights key patterns: Engulfing, Doji, Hammer, Shooting Star
Patterns are visual only — no interference with signal flow
✅ Trend Label:
Clean top-right corner label updates periodically to guide sentiment
⚠️ Disclaimer:
This tool is for educational purposes only. No financial advice is provided. Use at your own risk.
Built by @AK_Trades to help scalpers trade smarter, not harder.
อินดิเคเตอร์และกลยุทธ์
Impulse Candle Detector with MA RibbonIndicator Overview
The Impulse Candle Detector with MA Ribbon highlights “impulsive” candles—those with unusually large range, volume and body proportion—by coloring them blue (bullish) or orange (bearish) and firing an alert when they complete. In addition, it plots up to four moving averages on any chosen timeframe, with full control over type, length, source and color.
What It Does
Impulse Candle Detection
A candle is marked impulsive only when all three conditions are met:
Range exceeds the n-bar SMA of true-range multiplied by a size factor.
Volume exceeds the n-bar SMA of volume multiplied by a volume factor.
Body size (|close – open|) is at least a specified fraction of the candle’s total high-low range.
MA Ribbon
Four independent moving averages can be plotted, each optionally fetched from a different timeframe. You choose the MA type (SMA, EMA, SMMA/RMA, WMA or VWMA), the calculation source (open, high, low, close or custom), the length in periods, and the line color.
Typical Use Cases
Traders can use the impulse candle signal to spot strong momentum surges or reversal traps. Overlaying these signals on an MA ribbon gives trend context: impulsive candles aligned with the ribbon direction suggest continuation, while impulsive candles against the ribbon warn of counter-trend exhaustion. Alerts automate detection so you never miss a key move.
Inputs and Defaults
Impulse Candles Group
You’ll find four inputs under “Impulse Candles.”
Length for Average Calculation (integer, default 10): bars used to compute the SMA of true-range and volume.
Size Multiplier (float, default 1.5): threshold factor for range vs. average range.
Volume Multiplier (float, default 1.5): threshold factor for volume vs. average volume.
Body-to-Wick Ratio (float, default 0.7): minimum candle-body fraction of total range.
Moving Averages Group
There is one timeframe input and then settings for MA #1 through MA #4. Each MA has five properties.
Set MA Timeframe (timeframe, default blank): timeframe to fetch the MAs; leave blank to use the chart’s timeframe.
For each MA #X: Show (true/false), Type (SMA, EMA, SMMA/RMA, WMA, VWMA), Source (price series), Length (integer ≥ 1)
Color (hex code)
Alert Configuration
When all three impulsive-candle conditions are true on the prior bar, an alert named “Impulsive Candle” fires with the message “Impulsive candle detected.”
How to Use
Copy the script into TradingView’s Pine Editor, save and add it to your chart.
Under Impulse Candles, adjust length and multipliers to match your asset’s volatility.
Under Moving Averages, set your desired timeframe (if different), then toggle and customize each MA line.
Create an alert on the indicator, selecting the built-in Impulsive Candle condition to get notified whenever a qualifying candle closes.
Disclaimer
This indicator is provided for educational purposes only and does not constitute financial advice or a guaranteed strategy. Trading involves substantial risk and may result in significant losses; past performance does not guarantee future results. Always conduct your own research and consider seeking advice from a qualified financial professional before making any trading decisions.
WaveTrend [LazyBear] with Long/Short LabelsWaveTrend Oscillator with Entry Signals (LONG/SHORT) – Advanced Edition
This indicator is based on the renowned WaveTrend Oscillator by LazyBear, a favorite among professional traders for spotting trend reversals with precision.
🚀 Features:
Original WaveTrend formula with dual-line structure (WT1 & WT2).
Customizable overbought and oversold zones for visual clarity.
Automatic LONG and SHORT signals plotted directly on the chart:
✅ LONG: When WT1 crosses above WT2 below the oversold zone.
❌ SHORT: When WT1 crosses below WT2 above the overbought zone.
Momentum histogram shows strength of market moves.
Fully optimized for Pine Script v5 and lightweight across all timeframes.
🔍 How to use:
Combine with support/resistance levels or candlestick reversal patterns.
Works best on 15min, 1H, or 4H charts.
Suitable for all markets: crypto, stocks, forex, indices.
📊 Ideal for:
Traders seeking clean, reliable entry signals.
Reversal strategies with technical confluence.
Visual confirmation of WaveTrend crossovers without manual interpretation.
💡 Pro Tip: Combine with EMA or RSI filters to further enhance accuracy.
Prev-Day High-Low Box 09:30-15:30This indicator plots a visual range box for the previous day's regular trading session, based specifically on 09:30 AM to 3:30 PM market hours (Eastern Time by default).
Features:
Automatically detects each new trading day
Draws a box from the previous day’s high to low
Box extends into the current session for a set number of bars (default: 160)
Labels mark the previous high and previous low individually
Clean and minimal — only one box and label set is drawn at a time
Works on intraday timeframes (1min, 5min, 15min, etc.)
Use it to:
Identify zones of interest from the last session
Watch for breakouts, reversals, or mean reversion setups
Combine with VWAP, moving averages, or price action for added context
This tool is handy for day traders and scalpers who want to map out the structure of prior sessions during live trading hours.
COT NET SHG"This indicator evaluates market participants’ positioning through composite calculations based on the COT (Commitments of Traders) report from the CME. It aims to identify significant imbalances between buyers and sellers by highlighting moments when major market players concentrate unusually large volumes of contracts in either the long or short direction."
Bollinger Bands on DMI (+DI / -DI)TradingView Pine Script: Bollinger Bands on +DI/-DI
Here's a custom Pine Script for TradingView that overlays Bollinger Bands on +DI and -DI:
//@version=5
Sideways + Buy + Sell Detection (Customizable)Yes, beyond the **methodology**, several additional professional aspects of your script can be highlighted, especially for documentation, presentations, or integrating into a proprietary toolkit. Here’s a breakdown of additional elements worth noting:
---
### **1. Indicator Design Philosophy**
The script reflects a **multi-factor confirmation model**, combining momentum, trend strength, and directional movement for higher confidence in signal accuracy. This reduces the likelihood of false signals caused by reliance on a single indicator.
---
### **2. Signal Filtering via Confluence**
By requiring alignment across **RSI**, **ADX/DI**, and **MACD**, the system enforces **signal confluence**, a best practice in professional technical analysis. This ensures that entries are only suggested when multiple independent tools agree on market direction, enhancing robustness.
---
### **3. Parameter Flexibility for Optimization**
All core variables—RSI length, ADX period, MACD settings, and thresholds—are exposed via inputs, allowing for:
* **Strategy optimization** through backtesting.
* **Market-specific adaptation**, adjusting sensitivity for equities, forex, commodities, or crypto.
This makes the script versatile across asset classes and trading environments.
---
### **4. Timeframe Decoupling**
By separating the signal generation timeframe from the chart timeframe, the script supports **top-down analysis**. For example:
* Signals can be generated on a 5-minute chart while trading on a 1-minute chart.
* A 1-hour signal can be monitored within a 15-minute execution chart.
This enhances decision-making by contextualizing intraday moves within higher-timeframe trends.
---
### **5. User Experience & Interface Integration**
* **Clear chart visuals**: The color-coded labels (green for buy, red for sell, purple for sideways) provide instant recognition.
* **Non-intrusive design**: Signals are plotted below bars to maintain a clean view of price action.
* **Title and inputs** are well-labeled for ease of use, aligning with best practices in indicator UI/UX design.
---
### **6. Use Cases & Applications**
* **Trend Traders**: Identify momentum-driven opportunities in the direction of strength.
* **Range Traders**: Detect periods of consolidation to apply mean-reversion strategies.
* **Algorithmic Signal Filters**: Serve as a filter layer within automated systems, only allowing trades when all criteria align.
* **Discretionary Traders**: Use as a secondary confirmation tool to validate setups seen through manual chart analysis.
---
### **7. Extensibility & Integration Potential**
This script can serve as a foundational module for:
* **Strategy scripts** (with backtesting logic),
* **Alerts** for real-time notifications (with minor modification),
* Or **integrated dashboards** in custom trading interfaces.
Gap Reversal Signal with Indicators🔍 Gap Reversal Signal with Indicators — 結合 KD、MACD、SAR 與背離分析的多功能指標
🔍 Gap Reversal Signal with Indicators — A Multi-Tool Signal Indicator Combining KD, MACD, SAR, and Divergence Analysis
中文說明：
本指標結合多種常用技術分析工具，包括 KD 隨機指標、MACD 動能交叉、SAR 趨勢方向、以及 MACD 背離偵測，用以辨識潛在的價格反轉區域。適用於日內交易與波段操作，支援各類市場，如加密貨幣、股票與外匯等。
English Description:
This indicator combines several popular technical tools: Stochastic KD, MACD momentum crossovers, SAR trend direction, and MACD divergence detection. It helps traders identify potential reversal areas and is ideal for both intraday and swing trading. Works well on crypto, stocks, and forex markets.
🧠 功能特點 | Key Features
✅ KD指標（慢速隨機指標）檢測超買超賣並提供%K與%D交叉訊號
✅ Stochastic KD (slow) to detect overbought/oversold zones and crossover signals
✅ MACD金叉/死叉與零軸突破捕捉趨勢轉變與動能反轉
✅ MACD Crossovers + Zero-Line Breaks to capture trend changes and momentum reversals
✅ SAR指標即時顯示多空方向
✅ Parabolic SAR for real-time trend direction indication
✅ MACD背離偵測協助辨識潛在反轉區域
✅ MACD Divergence Detection for identifying hidden trend reversals
✅ 圖形提示與標籤提示可視化呈現各類訊號
✅ Visual Alerts and Labels for easy and quick signal recognition
📈 支援市場 | Supported Markets
📊 台股 / 美股 / 外匯 / 加密貨幣
📊 Taiwan Stocks / US Stocks / Forex / Cryptocurrencies (e.g. BTC, ETH)
🔧 推薦用法 | Recommended Use
搭配缺口策略與支撐壓力位使用
Use with gap-trading strategies and support/resistance zones
用於盤整末期或趨勢反轉的提示
Helpful for end-of-consolidation signals or trend reversals
支援短線與波段交易風格
Suitable for scalping and swing trading styles
💡 把這個指標加入你的圖表，立即體驗多重技術分析所帶來的交易優勢！
💡 Add this indicator to your chart now and experience the power of multi-tool technical analysis!
Real Vision Global M2 (Lag)Global Liquidity for our ARC Students. This indicator lags by about 12 weeks, so make sure to apply that to your charts. Successful trading your bitcoins
Previous week highs and lowsA script which marks a line pointing the highs and lows of the previous trading week.
Have a nice trade.
Volume Sweep DetectorSUDDEN VOLUME INCREASE OR DECREASE IN CANDLESTICS
Volume Sweep Indicator detects sudden surges or sweeps in volume, often caused by large institutional orders or momentum ignitions. These can signal potential reversals or breakouts depending on context.
Macd, Wt Cross & HVPMacd Wt Cross & HVP – Advanced Multi-Signal Indicator
This script is a custom-designed multi-signal indicator that brings together three proven concepts to provide a complete view of market momentum, reversals, and volatility build-ups. It is built for traders who want to anticipate key market moves, not just react to them.
Why This Combination ?
While each tool has its strengths, their combined use creates powerful signal confluence.
Instead of juggling multiple indicators separately, this script synchronizes three key perspectives into a single, intuitive display—helping you trade with greater clarity and confidence.
1. MACD Histogram – Momentum and Trend Clarity
At the core of the indicator is the MACD histogram, calculated as the difference between two exponential moving averages (EMAs).
Color-coded bars represent momentum direction and intensity:
Green / blue bars: bullish momentum
Red / pink bars: bearish momentum
Color intensity shows acceleration or weakening of trend.
This visual makes it easy to detect trend shifts and momentum divergence at a glance.
2. WT Cross Signals – Early Reversal Detection
Overlaid on the histogram are green and red dots, based on the logic of the WaveTrend oscillator cross:
Green dots = potential bullish cross (buy signal)
Red dots = potential bearish cross (sell signal)
These signals are helpful for identifying reversal points during both trending and ranging phases.
3. Historical Volatility Percentile (HVP) – Volatility Compression Zones
Behind the histogram, purple vertical zones highlight periods of low historical volatility, based on the HVP:
When volatility compresses below a specific threshold, these zones appear.
Such periods are often followed by explosive price moves, making them prime areas for pre-breakout positioning.
By integrating HVP, the script doesn’t just tell you where the trend is—it tells you when the trend is likely to erupt.
How to Use This Script
Use the MACD histogram to confirm the dominant trend and its strength.
Watch for WT Cross dots as potential entry/exit signals in alignment or divergence with the MACD.
Monitor HVP purple zones as warnings of incoming volatility expansions—ideal moments to prepare for breakout trades.
Best results occur when all three elements align, offering a high-probability trade setup.
What Makes This Script Original?
Unlike many mashups, this script was not created by simply merging indicators. Each component was carefully integrated to serve a specific, complementary purpose:
MACD detects directional bias
WT Cross adds precision timing
HVP anticipates volatility-based breakout timing
This results in a strategic tool for traders, useful on multiple timeframes and adaptable to different trading styles (trend-following, breakout, swing).
Enhanced Volume w/ Pocket Pivots, Milestones & LiquiditySure! Here’s a professional and clear **description** you can use when saving or publishing the script on TradingView:
---
## 📄 Script Description: *Enhanced Volume w/ Pocket Pivots, Milestones & Liquidity*
This custom volume indicator enhances the default volume view by combining key institutional-level insights into a single tool. It highlights meaningful volume activity, liquidity conditions, and milestone events to help traders better understand accumulation/distribution and smart money participation.
### 🔍 Features:
* **Color-coded volume bars**:
* 🔵 **Pocket Pivot Volume (PPV)**: Up-day with volume > highest down-day volume of last 10 bars.
* 🟢 **Up Volume**: Up-day with volume > 50-day average.
* 🔴 **Down Volume**: Down-day with volume > 50-day average.
* 🟠 **Dry Volume**: Low-volume bars < 20% of 50-day average.
* ⚫ **Neutral/Other bars**: No significant signal.
* **Volume Milestones**:
* **HVE**: Highest volume ever (20 years lookback).
* **HVY**: Highest volume in the past 1 year (252 bars).
* **HVQ**: Highest volume in the past quarter (63 bars).
* **Projected Volume**:
* Real-time estimate of end-of-day volume based on elapsed session time.
* **Liquidity Metrics**:
* Displays current and 50-day average dollar volume.
* Estimates 1-minute liquidity for large-position feasibility.
* **Relative Volume Label**:
* Displays how today’s volume compares to the 50-day average.
* **Alerts Included**:
* Set alerts for HVE, HVY, and HVQ to catch key breakout or climactic volume events.
---
### 🧠 Ideal For:
* Growth stock traders
* Volume/price analysts
* Intraday & swing traders
* Institutions or prop traders needing liquidity benchmarks
---
Let me know if you'd like a short or promotional version (for sharing with others).
Global M2 YoY % Change (USD)+108 Days Daily ChartGlobal M2 YoY % Change pushed 108 days forward. Showing Global Liquidity as a proxy. It is the correlation between Global Liquidity and the bitcoin price after 108 Days. Be careful this proxy only works well on the Daily timeframe.
VOL & AVG OverlayCustom Session Volume Versus Average Volume
Description:
This indicator will create an overlay on your chart that will show you the following information:
Custom Session Volume
Average For Selected Session
Percentage Comparison
Options:
Set Custom Time Frame For Calculations
Set Custom Time Frame For Average Comparison
Set Custom Time Zone
Enable / Disable Each Value
Change Text Color
Change Background Color
Change Table location
Example:
Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York.
When the time frame for the calculation is closed , the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table.
In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day.
Notes:
Times must be entered in 24 hour format. (1pm = 13:00 etc.)
This indicator is for Intra-day time frames, not > Day.
If you prefer data in this format as opposed to a plotted line, check out my other indicator: ADR & ATR Overlay
Stoch RSI Approaching Zones (Dots)🧠 Stoch RSI Strategy with Trend Filter, Risk Management & Early Signal Visualization
This strategy combines Stochastic RSI signals with a 200 EMA trend filter and risk-based position sizing to create a well-rounded approach for both long and short trades. It includes built-in take profit / stop loss logic and supports early exits based on momentum shifts.
🔧 Key Features:
Stoch RSI-Based Entries
Long: %K crosses above 20
Short: %K crosses below 80
Optional Trend Filter
Longs only when price is above the 200 EMA
Shorts only when price is below the 200 EMA
Risk Management
Position sizing based on risk percentage of initial capital
Customizable stop loss and take profit (%)
Early Exit Logic
Closes positions if %K crosses back through key levels (80 for longs, 20 for shorts)
Visual Tools
Optional plot of Stoch RSI %K and %D
Horizontal markers for overbought (80) and oversold (20) zones
Approaching Signal Indicator (Add-On)
Aqua and fuchsia dots plotted on the chart when %K is approaching overbought (70–80) or oversold (20–30) zones, helping spot momentum before a crossover occurs.
Alerts Ready
Entry, exit, and early-exit alerts built in
📈 Best used across multiple timeframes—some assets (like AAPL) may respond especially well depending on the timeframe. The 200 EMA filter alone significantly improves signal quality, and the "approaching zone" dots can help traders prepare for moves in advance.
Stochastic XThe "Stochastic X" script is a customizable momentum oscillator designed to help traders identify potential overbought and oversold conditions, as well as trend reversals, by analyzing the relationship between a security's closing price and its price range over a specified period. This indicator is particularly useful for traders looking to fine-tune their entry and exit points based on momentum shifts.
🔧 Indicator Settings and Customization
The script offers several user-configurable settings to tailor the indicator to specific trading strategies:
In addition to the source type, %K Period, %D Period, and Signal line periods you can now change moving average calculation for the stochastic and signal lines.
This script allows selection among various moving average methods (e.g., SMA, EMA, WMA, T3) for smoothing the %K and signal lines. Different methods can affect the responsiveness of the indicator.
🎨 Interpreting Background Colors
The script enhances visual analysis by changing the background color of the indicator panel based on the %K line's value:
Green Background: Indicates that the %K line is above 50, suggesting bullish momentum.
Red Background: Signifies that the %K line is below 50, pointing to bearish momentum.
Light Green Overlay: Appears when the %K line exceeds 80, highlighting overbought conditions.
Light Red Overlay: Shows up when the %K line falls below 20, indicating oversold conditions.
These visual cues assist traders in quickly assessing market momentum and potential reversal.
📈 Trading Strategies Using Stochastic X
Traders can utilize the Stochastic X indicator in various ways:
Overbought/Oversold Conditions:
A %K value above 80 may suggest that the asset is overbought, potentially signaling a price correction.
A %K value below 20 could indicate that the asset is oversold, possibly leading to a price rebound.
Signal Line Crossovers:
When the %K line crosses above the signal line, it may be interpreted as a bullish signal.
Conversely, a %K line crossing below the signal line might be seen as a bearish signal.
Divergence Analysis:
If the price makes a new high while the %K line does not, this bearish divergence could precede a price decline.
If the price hits a new low but the %K line forms a higher low, this bullish divergence might signal an upcoming price increase.
Trend Confirmation:
Sustained %K values above 50 can confirm an uptrend.
Persistent %K values below 50 may validate a downtrend.
In this chart, observe how the background colors change in response to the %K line's value, providing immediate visual feedback on market conditions. The crossovers between the %K and signal lines offer potential entry and exit points, while the overbought and oversold overlays help identify possible reversal zones.
⚙️ Adjusting Settings for Optimal Use
The Stochastic X indicator's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior:
Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements.
Long-Term Trading: Opt for longer periods (e.g., 14 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends.
Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets.
By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
RSIPro💥 RSIPro💥
RSIPro is an enhanced version of the classic RSI, built for traders who value both signal accuracy and visual clarity. This tool helps you instantly detect overbought and oversold zones using built-in color cues and automatic signal markers.
🚀 Key Features:
📊 Smooth RSI with adjustable period – fine-tune it for your strategy.
🔺🔻 Auto signals with arrows – when RSI crosses the 30 and 70 levels.
🎯 Dynamic background color – highlights overbought (red) and oversold (green) zones instantly.
⚙️ Customizable RSI zones – set your own overbought/oversold levels.
🔘 Clean horizontal lines: Overbought, Oversold, and Midline (50) for quick visual reference.
🧠 How to Use:
✅ Green background + up arrow = possible bounce from oversold zone.
⚠️ Red background + down arrow = potential correction from overbought zone.
Combine it with price action or trend filters for more powerful signals.
RSIPro makes RSI easy to read and even easier to trust.
Simple. Accurate. Effective. Ideal for traders of all levels.
(MVD) Meta-Volatility Divergence (DAFE) Meta-Volatility Divergence (MVD)
Reveal the Hidden Tension in Volatility.
The Meta-Volatility Divergence (MVD) indicator is a next-generation tool designed to expose the disagreement between multiple volatility measures—helping you spot when the market’s “volatility engines” are out of sync, and a regime shift or volatility event may be brewing.
What Makes MVD Unique?
Multi-Source Volatility Analysis:
Unlike traditional volatility indicators that rely on a single measure, MVD fuses four distinct volatility signals:
ATR (Average True Range): Captures the average range of price movement.
Stdev (Standard Deviation): Measures the dispersion of closing prices.
Range: The average difference between high and low.
VoVix: A proprietary “volatility of volatility” metric, quantifying the difference between fast and slow ATR, normalized by ATR’s own volatility.
Divergence Engine:
The core MVD line (yellow) represents the mean absolute deviation (MAD) of these volatility measures from their average. When the line is flat, all volatility measures are in agreement. When the line rises, it means the market’s volatility signals are diverging—often a precursor to regime shifts, volatility expansions, or hidden stress.
Dynamic Z-Score Normalization:
The MVD line is normalized as a Z-score, so you can easily spot when current divergence is rare or extreme compared to recent history.
Visual Clarity:
Yellow center line: Tracks the real-time divergence of volatility measures.
Green dashed thresholds: Mark the ±2.00 Z-score levels, highlighting when divergence is unusually high and action may be warranted.
Dashboard: Toggleable panel shows all key metrics (ATR, Stdev, VoVix, MVD Z) and your custom branding.
Compact Info Label : For mobile or minimalist users, a single-line summary keeps you informed without clutter.
What Makes The MVD line move?
- The MVD line rises when the included volatility measures (ATR, Stdev, Range, VoVix) are moving in different directions or at different magnitudes. For example, if ATR is rising but Stdev is falling, the line will move up, signaling disagreement.
- The line falls or flattens when all volatility measures are in sync, indicating a consensus in the market’s volatility regime.
- VoVix adds a unique dimension, making the indicator especially sensitive to sudden changes in volatility structure that most tools miss.
Inputs & Settings
ATR Length: Sets the lookback for ATR calculation. Shorter = more sensitive, longer = smoother.
Stdev Length: Sets the lookback for standard deviation. Adjust for your asset’s volatility.
Range Length: Sets the lookback for the average high-low range.
MVD Lookback: Controls the window for Z-score normalization. Higher values = more historical context, lower = more responsive.
Show Dashboard: Toggle the full dashboard panel on/off.
Show Compact Info Label: Toggle the mobile-friendly info line on/off.
Tip:
Adjust these settings to match your asset’s volatility and your trading timeframe. There is no “one size fits all”—tuning is key to extracting the most value from MVD.
How to make MVD work for you:
Threshold Crosses: When the MVD line crosses above or below the green dashed thresholds (±2.00), it signals that volatility measures are diverging more than usual. This is a heads-up that a volatility event, regime shift, or hidden market stress may be developing.
Not a Buy/Sell Signal: A threshold cross is not a direct buy or sell signal. It is an indication that the market’s volatility structure is changing. Use it as a filter, confirmation, or alert in combination with your own strategy and risk management.
Dashboard & Info Line: Use the dashboard for a full view of all metrics, or the info label for a quick glance—especially useful on mobile.
Chart: MNQ! on 5min frames
ATR: 14
StDev L: 11
Range L: 13
MDV LB: 13
Important Note
MVD is a market structure and volatility regime tool.
It is designed to alert you to potential changes in market conditions, not to provide direct trade entries or exits. Always combine with your own analysis and risk management.
Meta-Volatility Divergence:
See the market’s hidden tension. Anticipate the next wave.
For educational purposes only. Not financial advice. Always use proper risk management.
Use with discipline. Trade your edge.
— Dskyz, for DAFE Trading Systems
%MAThis indicator is designed to plot a Simple Moving Average (SMA) along with customizable upper and lower bands (% up/down) on a TradingView chart. Here's a brief but thorough explanation of its functionality:
TL;DR: This script shows percentages above and below customizable moving average timeframes & legnths. It's unique in the sense that it isn't on a separate pane & gives visual clarity against the price in real time HLOC.
1. Main SMA Plot
The script calculates a Simple Moving Average (SMA) based on user-defined inputs:
Timeframe: E.g., daily ("Daily") by default.
Length: E.g., 50 periods by default.
Color: Customizable by the user.
This SMA acts as the central reference line and can be toggled on or off using a "Show" option.
2. Upper and Lower Bands
The script generates two upper bands and two lower bands around the main SMA.
Each band is derived from an SMA (calculated similarly to the main SMA) and offset by a percentage:
Upper Bands: SMA × (1 + distance percentage / 100), e.g., SMA × 1.05 for a 5% offset.
Lower Bands: SMA × (1 - distance percentage / 100), e.g., SMA × 0.95 for a 5% offset.
These bands can indicate potential support, resistance, or volatility ranges.
3. Customization
Users can independently configure:
Visibility: Toggle each band and the main SMA on or off.
Timeframe: Set the timeframe for each SMA calculation.
Length: Define the SMA period.
Distance Percentage: Adjust the offset for each band.
Color: Choose colors for all plotted lines.
This flexibility allows tailored analysis for different trading strategies or timeframes.
4. Plotting
The main SMA and each band are plotted using TradingView’s plot function, but only if their respective "Show" options are enabled.
Lines are displayed with user-specified colors and styles (e.g., the main SMA has a linewidth of 2).
Purpose
This script provides a versatile tool for technical analysis, enabling traders to visualize an SMA with percentage-based bands to identify key price levels or ranges, such as support/resistance, volatility zones, and trends, with extensive customization options.
Crypto Scalping Dashboard [Dubic] - 15m
🔥 Crypto Scalping Dashboard – 15m
The Crypto Scalping Dashboard is a powerful trend-based indicator designed for precision entries and exits on the 15-minute timeframe. It helps scalpers and short-term traders catch high-probability trades early in a trend with real-time confirmation from multiple smart filters.
🎯 Core Features:
EMA Trend Filter: Detects the prevailing market direction using 9/21 EMAs.
SuperTrend Confirmation: Confirms strength of the trend based on ATR volatility.
CCI Momentum Signal: Measures overbought/oversold conditions for optimal timing.
Range Filter Breakout: Validates when price escapes a defined market range.
VWAP Positioning: Ensures price is aligned with institutional average levels.
Pullback Re-Entry Logic: Detects ideal re-entry points during trending conditions.
RSI Confirmation: Validates trend re-entries with RSI strength filters.
Trade State Memory: Prevents redundant or false alerts by tracking open positions.
Smart Dashboard: Live visual feedback with color-coded trend strength per filter.
Clean Buy/Sell Labels & Alerts: Only fires when all key conditions align.
🧠 Ideal For:
Crypto scalping and day trading
Traders looking for reliable trend continuation and re-entry alerts
Visual learners who benefit from dashboard-style signal tracking
📈 Alerts:
✅ Buy Signal (all long conditions met)
❌ Sell Signal (all short conditions met)
This tool is optimized for quick decision-making while avoiding false signals. Use it alongside your existing strategy, and always manage risk appropriately.
Ehlers Ultimate Bands (UBANDS)UBANDS: ULTIMATE BANDS
🔍 OVERVIEW AND PURPOSE
Ultimate Bands, developed by John F. Ehlers, are a volatility-based channel indicator designed to provide a responsive and smooth representation of price boundaries with significantly reduced lag compared to traditional Bollinger Bands. Bollinger Bands typically use a Simple Moving Average for the centerline and standard deviations from it to establish the bands, both of which can increase lag. Ultimate Bands address this by employing Ehlers' Ultrasmooth Filter for the central moving average. The bands are then plotted based on the volatility of price around this ultrasmooth centerline.
The primary purpose of Ultimate Bands is to offer traders a clearer view of potential support and resistance levels that react quickly to price changes while filtering out excessive noise, aiming for nearly zero lag in the indicator band.
🧩 CORE CONCEPTS
Ultrasmooth Centerline: Employs the Ehlers Ultrasmooth Filter as the basis (centerline) for the bands, aiming for minimal lag and enhanced smoothing.
Volatility-Adaptive Width: The distance between the upper and lower bands is determined by a measure of price deviation from the ultrasmooth centerline. This causes the bands to widen during volatile periods and contract during calm periods.
Dynamic Support/Resistance: The bands serve as dynamic levels of potential support (lower band) and resistance (upper band).
🧮 CALCULATION AND MATHEMATICAL FOUNDATION
Ehlers' Original Concept for Deviation:
John Ehlers describes the deviation calculation as: "The deviation at each data sample is the difference between Smooth and the Close at that data point. The Standard Deviation (SD) is computed as the square root of the average of the squares of the individual deviations."
This describes calculating the Root Mean Square (RMS) of the residuals:
Smooth = UltrasmoothFilter(Source, Length)
Residuals = Source - Smooth
SumOfSquaredResiduals = Sum(Residuals ^2) for i over Length
MeanOfSquaredResiduals = SumOfSquaredResiduals / Length
SD_Ehlers = SquareRoot(MeanOfSquaredResiduals) (This is the RMS of residuals)
Pine Script Implementation's Deviation:
The provided Pine Script implementation calculates the statistical standard deviation of the residuals:
Smooth = UltrasmoothFilter(Source, Length) (referred to as _ehusf in the script)
Residuals = Source - Smooth
Mean_Residuals = Average(Residuals, Length)
Variance_Residuals = Average((Residuals - Mean_Residuals)^2, Length)
SD_Pine = SquareRoot(Variance_Residuals) (This is the statistical standard deviation of residuals)
Band Calculation (Common to both approaches, using their respective SD):
UpperBand = Smooth + (NumSDs × SD)
LowerBand = Smooth - (NumSDs × SD)
🔍 Technical Note: The Pine Script implementation uses a statistical standard deviation of the residuals (differences between price and the smooth average). Ehlers' original text implies an RMS of these residuals. While both measure dispersion, they will yield slightly different values. The Ultrasmooth Filter itself is a key component, designed for responsiveness.
📈 INTERPRETATION DETAILS
Reduced Lag: The primary advantage is the significant reduction in lag compared to standard Bollinger Bands, allowing for quicker reaction to price changes.
Volatility Indication: Widening bands indicate increasing market volatility, while narrowing bands suggest decreasing volatility.
Overbought/Oversold Conditions (Use with caution):
• Price touching or exceeding the Upper Band may suggest overbought conditions.
• Price touching or falling below the Lower Band may suggest oversold conditions.
Trend Identification:
• Price consistently "walking the band" (moving along the upper or lower band) can indicate a strong trend.
• The Middle Band (Ultrasmooth Filter) acts as a dynamic support/resistance level and indicates the short-term trend direction.
Comparison to Ultimate Channel: Ehlers notes that the Ultimate Band indicator does not differ from the Ultimate Channel indicator in any major fashion.
🛠️ USE AND APPLICATION
Ultimate Bands can be used similarly to how Keltner Channels or Bollinger Bands are used for interpreting price action, with the main difference being the reduced lag.
Example Trading Strategy (from John F. Ehlers):
Hold a position in the direction of the Ultimate Smoother (the centerline).
Exit that position when the price "pops" outside the channel or band in the opposite direction of the trade.
This is described as a trend-following strategy with an automatic following stop.
⚠️ LIMITATIONS AND CONSIDERATIONS
Lag (Minimized but Present): While significantly reduced, some minimal lag inherent to averaging processes will still exist. Increasing the Length parameter for smoother bands will moderately increase this lag.
Parameter Sensitivity: The Length and StdDev Multiplier settings are key to tuning the indicator for different assets and timeframes.
False Signals: As with any band indicator, false signals can occur, particularly in choppy or non-trending markets.
Not a Standalone System: Best used in conjunction with other forms of analysis for confirmation.
Deviation Calculation Nuance: Be aware of the difference in deviation calculation (statistical standard deviation vs. RMS of residuals) if comparing directly to Ehlers' original concept as described.
📚 REFERENCES
Ehlers, J. F. (2024). Article/Publication where "Code Listing 2" for Ultimate Bands is featured. (Specific source to be identified if known, e.g., "Stocks & Commodities Magazine, Vol. XX, No. YY").
Ehlers, J. F. (General). Various publications on advanced filtering and cycle analysis. (e.g., "Rocket Science for Traders", "Cycle Analytics for Traders").
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here.
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines.
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
SMA ExtensionsThe SMA Extensions indicator overlays a 200-period Simple Moving Average (SMA) along with its extensions (1.5x, 2x, 2.5x, and 3x) on the price chart. This setup helps traders identify price zones relative to the SMA.
Key Features:
Customizable Settings: Users can adjust the SMA source, length, and colors (default colors: blue, green, yellow, orange, red).
Clear Zone Visualization: The indicator plots each extension as a line, with transparent colored fills between them and below the SMA, visually highlighting price zones.
Dynamic Labels: Labels such as "Very Cheap," "Cheap," "Fair Value," "Expensive," and "Very Expensive" appear only on the last bar. These labels are slightly right-shifted and match the line colors for clarity.
How to Use:
Use the color-coded zones to assess whether prices are undervalued or overvalued relative to the SMA.
Adjust the SMA settings to suit different assets or timeframes.
This indicator is designed to provide a clear visual representation of price levels in relation to a standard SMA, making it a versatile tool for both novice and experienced traders.
