All-in-One EMA & BBThis script combines Bollinger Bands and multiple EMAs into one powerful tool. It includes:
1) Bollinger Bands with customizable MA type and colors.
2) EMA 21 on Daily and Weekly timeframes.
3) EMA 21, 50, 100, 200 on current chart timeframe.
4) Toggle options for each indicator for a clean, flexible view.
Ideal for traders seeking multi-timeframe trend analysis and volatility insights.
Volatilitas
Monthly Expected Move (IV + Realized)What it does
Overlays 1-month expected move bands on price using both forward-looking options data and backward-looking realized movement:
IV30 band — from your pasted 30-day implied vol (%)
Straddle band — from your pasted ATM ~30-DTE call+put total
HV band — from Historical Volatility computed on-chart
ATR band — from ATR% extrapolated to ~1 trading month
Use it to quickly answer: “How much could this stock move in ~1 month?” and “Is the market now pricing more/less movement than we’ve actually been getting?”
Inputs (quick)
Implied (forward-looking)
Use IV30 (%) — paste annualized IV30 from your options platform.
Use ATM 30-DTE Straddle — paste Call+Put total (per share) at the ATM strike, ~30 DTE.
Realized (backward-looking)
HV lookback (days) — default 21 (≈1 trading month).
ATR length — default 14.
Note: TradingView can’t fetch option data automatically. Paste the IV30 % or the straddle total you read from your broker (use Mark/mid prices).
How it’s calculated
IV band (±%) = IV30 × √(21/252) (annualized → ~1-month).
Straddle band (±%) = (ATM Call + Put) / Spot to that expiry (≈30 DTE).
HV band (±%) = stdev(log returns, N) × √252 × √(21/252).
ATR band (±%) = (ATR(len)/Close) × √21.
All bands are plotted as upper/lower envelopes around price, plus an on-chart readout of each ±% for quick scanning.
How to use it (at a glance)
IV/Straddle bands wider than HV/ATR → market expects bigger movement than recent actuals (possible catalyst/expansion).
All bands narrow → likely a low-mover; look elsewhere if you want action.
HV > IV → realized swings exceed current pricing (mean-reversion or vol bleed often follows).
Pro tips
For ATM straddle: pick the expiry closest to ~30 DTE, use the ATM strike (closest to spot), and add Call Mark + Put Mark (per share). If the exact ATM strike isn’t quoted, average the two neighboring strikes.
The simple straddle/spot heuristic can read slightly below the IV-derived 1σ; that’s normal.
Keep the chart on daily timeframe—the math assumes trading-day conventions (~252/yr, ~21/mo).
Volume Profile Grid [Alpha Extract]A sophisticated volume distribution analysis system that transforms market activity into institutional-grade visual profiles, revealing hidden support/resistance zones and market participant behavior. Utilizing advanced price level segmentation, bullish/bearish volume separation, and dynamic range analysis, the Volume Profile Grid delivers comprehensive market structure insights with Point of Control (POC) identification, Value Area boundaries, and volume delta analysis. The system features intelligent visualization modes, real-time sentiment analysis, and flexible range selection to provide traders with clear, actionable volume-based market context.
🔶 Dynamic Range Analysis Engine
Implements dual-mode range selection with visible chart analysis and fixed period lookback, automatically adjusting to current market view or analyzing specified historical periods. The system intelligently calculates optimal bar counts while maintaining performance through configurable maximum limits, ensuring responsive profile generation across all timeframes with institutional-grade precision.
// Dynamic period calculation with intelligent caching
get_analysis_period() =>
if i_use_visible_range
chart_start_time = chart.left_visible_bar_time
current_time = last_bar_time
time_span = current_time - chart_start_time
tf_seconds = timeframe.in_seconds()
estimated_bars = time_span / (tf_seconds * 1000)
range_bars = math.floor(estimated_bars)
final_bars = math.min(range_bars, i_max_visible_bars)
math.max(final_bars, 50) // Minimum threshold
else
math.max(i_periods, 50)
🔶 Advanced Bull/Bear Volume Separation
Employs sophisticated candle classification algorithms to separate bullish and bearish volume at each price level, with weighted distribution based on bar intersection ratios. The system analyzes open/close relationships to determine volume direction, applying proportional allocation for doji patterns and ensuring accurate representation of buying versus selling pressure across the entire price spectrum.
🔶 Multi-Mode Volume Visualization
Features three distinct display modes for bull/bear volume representation: Split mode creates mirrored profiles from a central axis, Side by Side mode displays sequential bull/bear segments, and Stacked mode separates volumes vertically. Each mode offers unique insights into market participant behavior with customizable width, thickness, and color parameters for optimal visual clarity.
// Bull/Bear volume calculation with weighted distribution
for bar_offset = 0 to actual_periods - 1
bar_high = high
bar_low = low
bar_volume = volume
// Calculate intersection weight
weight = math.min(bar_high, next_level) - math.max(bar_low, current_level)
weight := weight / (bar_high - bar_low)
weighted_volume = bar_volume * weight
// Classify volume direction
if bar_close > bar_open
level_bull_volume += weighted_volume
else if bar_close < bar_open
level_bear_volume += weighted_volume
else // Doji handling
level_bull_volume += weighted_volume * 0.5
level_bear_volume += weighted_volume * 0.5
🔶 Point of Control & Value Area Detection
Implements institutional-standard POC identification by locating the price level with maximum volume accumulation, providing critical support/resistance zones. The Value Area calculation uses sophisticated sorting algorithms to identify the price range containing 70% of trading volume, revealing the market's accepted value zone where institutional participants concentrate their activity.
🔶 Volume Delta Analysis System
Incorporates real-time volume delta calculation with configurable dominance thresholds to identify significant bull/bear imbalances. The system visually highlights price levels where buying or selling pressure exceeds threshold percentages, providing immediate insight into directional volume flow and potential reversal zones through color-coded delta indicators.
// Value Area calculation using 70% volume accumulation
total_volume_sum = array.sum(total_volumes)
target_volume = total_volume_sum * 0.70
// Sort volumes to find highest activity zones
for i = 0 to array.size(sorted_volumes) - 2
for j = i + 1 to array.size(sorted_volumes) - 1
if array.get(sorted_volumes, j) > array.get(sorted_volumes, i)
// Swap and track indices for value area boundaries
// Accumulate until 70% threshold reached
for i = 0 to array.size(sorted_indices) - 1
accumulated_volume += vol
array.push(va_levels, array.get(volume_levels, idx))
if accumulated_volume >= target_volume
break
❓How It Works
🔶 Weighted Volume Distribution
Implements proportional volume allocation based on the percentage of each bar that intersects with price levels. When a bar spans multiple levels, volume is distributed proportionally based on the intersection ratio, ensuring precise representation of trading activity across the entire price spectrum without double-counting or volume loss.
🔶 Real-Time Profile Generation
Profiles regenerate on each bar close when in visible range mode, automatically adapting to chart zoom and scroll actions. The system maintains optimal performance through intelligent caching mechanisms and selective line updates, ensuring smooth operation even with maximum resolution settings and extended analysis periods.
🔶 Market Sentiment Analysis
Features comprehensive volume analysis table displaying total volume metrics, bullish/bearish percentages, and overall market sentiment classification. The system calculates volume dominance ratios in real-time, providing immediate insight into whether buyers or sellers control the current price structure with percentage-based sentiment thresholds.
🔶 Visual Profile Mapping
Provides multi-layered visual feedback through colored volume bars, POC line highlighting, Value Area boundaries, and optional delta indicators. The system supports profile mirroring for alternative perspectives, line extension for future reference, and customizable label positioning with detailed price information at critical levels.
Why Choose Volume Profile Grid
The Volume Profile Grid represents the evolution of volume analysis tools, combining traditional volume profile concepts with modern visualization techniques and intelligent analysis algorithms. By integrating dynamic range selection, sophisticated bull/bear separation, and multi-mode visualization with POC/Value Area detection, it provides traders with institutional-quality market structure analysis that adapts to any trading style. The comprehensive delta analysis and sentiment monitoring system eliminates guesswork while the flexible visualization options ensure optimal clarity across all market conditions, making it an essential tool for traders seeking to understand true market dynamics through volume-based price discovery.
VIX > 20/25 HighlightThis indicator tracks the CBOE Volatility Index (VIX) and highlights when volatility exceeds critical thresholds.
Plots the VIX with dashed reference lines at 20 and 25.
Background turns orange when the VIX is above 20.
Background turns bright red when the VIX is above 25.
Includes alert conditions to notify you when the VIX crosses above 20 or 25.
Use this tool to quickly visualize periods of elevated market stress and manage risk accordingly.
Candle Body Size AlertThis indicator monitors the body size of each candle (close minus open, ignoring wicks) and compares it to a user-defined threshold measured in ticks. If the candle body exceeds the threshold, the indicator triggers an alert condition at the close of the candle.
Features:
1. Adjustable threshold in ticks (default: 4000)
2. Adjustable timeframe (or use chart timeframe)
3. Alerts only at candle close (no intrabar signals)
Use Case:
Designed for traders who want to be notified when unusually large candles form, helping to identify strong momentum moves or volatility spikes.
Average True Range %The ATR% oscillator measures market volatility as a percentage of the closing price, smooths it using a chosen method (RMA, SMA, EMA, or WMA), and compares it to the threshold levels of 0.95% and 1.20%.
Calm before the StormCalm before the Storm - Bollinger Bands Volatility Indicator
What It Does
This indicator identifies and highlights periods of extremely low market volatility by analyzing Bollinger Bands distance. It uses percentile-based analysis to find the "quietest" market periods and highlights them with a gradient background, operating on the premise that low volatility periods often precede significant price movements.
How It Works
Volatility Measurement: Calculates the distance between Bollinger Bands upper and lower boundaries
Percentile Analysis: Analyzes the lowest X% of volatility periods over a configurable lookback period (default: lowest 40% over 200 bars)
Visual Highlighting: Uses gradient opacity to show volatility levels - the lower the volatility, the more opaque the background highlighting
Adaptive Threshold: Automatically calculates what constitutes "low volatility" based on recent market conditions
Who Should Use It
Primary Users:
Breakout Traders: Looking for consolidation periods that may precede significant moves
Options Traders: Seeking low implied volatility periods before volatility expansion
Swing Traders: Identifying accumulation/distribution phases before trend continuation or reversal
Range Traders: Spotting tight trading ranges for mean reversion strategies
Trading Styles:
Volatility-based strategies
Breakout and momentum trading
Options strategies (volatility plays)
Market timing approaches
When to Use It
Market Conditions:
Consolidation Phases: When price is moving sideways with decreasing volatility
Pre-Announcement Periods: Before earnings, economic data, or major events
Market Transitions: During shifts between trending and ranging markets
Low Volume Periods: When institutional participation is reduced
Strategic Applications:
Entry Timing: Wait for volatility compression before positioning for breakouts
Risk Management: Reduce position sizes during highlighted periods (anticipating volatility expansion)
Options Strategy: Sell premium during low volatility, buy during expansion
Multi-Timeframe Analysis: Combine with higher timeframe trends for confluence
Key Benefits
Objective Volatility Measurement: Removes subjectivity from identifying "quiet" markets
Adaptive Analysis: Automatically adjusts to current market conditions
Visual Clarity: Easy-to-interpret gradient highlighting
Customizable Sensitivity: Adjustable percentile thresholds for different trading styles
Best Used In Combination With:
Trend analysis tools
Support/resistance levels
Volume indicators
Momentum oscillators
This indicator is particularly valuable for traders who understand that periods of low volatility are often followed by periods of high volatility, allowing them to position ahead of potential significant price movements.
ArpitJainForex.comThis is one of the Leading Indicator I have sold To 30+ Forex Agencies In Dubai, Azerbaijan & Cyprus.
Looking forward in making you Profitable.
If you want access to my Indicator please dm on
www.instagram.com
My profile Has Blue High Rise buildings Behind me, Yah Its in Abu Dhabi.
Opening Range Breakout🚀 ORB – Optimized for Peak Performance 🚀
Catch the morning breakout moves with zero guesswork!
This plug-and-play Opening Range Breakout strategy is fully optimized ; no settings to tweak, no parameters to adjust.
✅ Pre-tuned for U.S. market open on 5-minute charts.
✅ Built-in risk management with stop loss, take profit, and one trade per day.
✅ Auto exit before market close to lock in gains and avoid late-day whipsaws.
Perfect for day traders who want to focus on execution, not experimentation.
Just load it, trade it, and let the strategy do the heavy lifting.
⚠ Disclaimer : Educational use only. Always backtest and paper trade before using with real capital.
Key Features
• No Guesswork – Pre-set with the best-performing configuration.
• Opening Range Breakout Logic – Identifies the early range of the market and trades strong breakouts.
• Strict Risk Management – Stop loss and take profit levels are automatically calculated from the range size.
• One Trade Per Day – Prevents overtrading and keeps the focus on quality setups.
• End-of-Day Auto Exit – Closes all open trades at 3:30 PM EST to avoid late-session volatility.
How It Works
1. Opening Range Calculation: At market open (9:30 AM EST), the strategy monitors opening range.
2. Breakout Entry: Monitors the breakouts with moment.
3. Risk & Profit Targets: Stop loss and take profit are calculated automatically based on the range size. Risk-to-reward ratio is set for balanced performance.
4. Trade Control: Only one trade per day (either long or short). All trades are force-closed at 3:30 PM EST.
Scalper ProCreated by 77
version 0.9 (Pre-release version)
Overview
The Scalper Pro Algo is a specialized day trading indicator optimized for the various timeframe, tailored for both stock and cryptocurrency markets. It delivers precise buy and sell signals, highlights dynamic overbought and oversold zones, and flags potential reversal points to support active traders.
At its core, the indicator blends a Kalman-filtered Super trend algorithm with VWMA (Volume-Weighted Moving Average) bands. This fusion enables trend-following and mean-reversion strategies by identifying high-probability entry and exit points. The Kalman filtering helps reduce market noise and minimize false signals, offering traders clearer, more dependable guidance for scalping and short-term trades.
London/NY Forex SessionDesigned for Forex traders who want a clear view of market dynamics.
This tool highlights the most active trading windows of the day, helping you align with institutional moves and avoid low-liquidity periods.
STRATEGY WITH POINT TP/SL BY SKBTSThe formula for the standard middle band is simply a moving average, often set to 20 periods:
Middle Band = 20-period moving average (close)
The upper and lower bands are calculated from the standard deviation, which measures how dispersed the price data is from the average.
Upper Band = Middle Band + (2 standard deviations of 20-period close)
Lower Band = Middle Band - (2 standard deviations of 20-period close)
The key inputs are the 20-period moving average, the number of standard deviations (typically 2), and the 20-period standard deviation. The bands will expand and contract based on the standard deviation value.
Some traders increase the standard deviation multiplier to 2.1 or 2.2 to make the bands looser and more sensitive. Decreasing the number of periods for the moving average and standard deviation will also increase sensitivity.
Ultron Indicator BTCUSDT Ultron BTCUSDT Indicator (invite-only).
• Clear trend & reversion signals
• Next-bar execution parity and frozen TSL visuals
• Run on 4hr Binance BTCUSDT chart
• Risk sizing that uses your equity input
Usage: Add to chart → Settings → Inputs → set “Your Current Trading Equity (USD)”.
⚠️ Software tool for educational/informational use only. Not financial advice.
Past performance is not indicative of future results. You are responsible for your trades.
Close Location Value (CLV)A script that calculates where price closes relative to its low range.
0.7-1= strong bullish
0.5 to -0.5 = mid range
-1 to -0.7 strong bearish
Session Volatility MonitorOverview
Session Volatility Monitor is a versatile volatility indicator tailored for intraday and session-based trading. It computes the average maximum price deviation (either up or down) from the session's opening price over a user-specified number of prior days, providing insights into expected "room to move" in the current session. This helps traders gauge potential exhaustion points, set realistic targets or stops, and identify when a directional move has reached historical norms (flagged as "REACHED" with the exact price level).
Displayed via a customisable table and optional horizontal target lines, it's ideal for markets like forex, crypto, futures, or stocks where session volatility matters. The indicator supports custom sessions with timezone adjustments, making it adaptable to global trading hours (e.g., London, NY, or Asia kill zones). For assets with small tick sizes (e.g., forex pairs at 0.0001), a multiplier scales values for readability (e.g., showing pips as 67.0 instead of 0.00670).
Key Features
Session-Based Calculations:
Defines sessions via presets (e.g., "NY Kill Zone: 07:00-10:00") or custom HHMM-HHMM inputs. (please note that preset sessions are mainly for futures e.g. "Full Day18:01-17:00", but also can be useful for forex and crypto)
Adjustable UTC offset (e.g., -5 for ET) to align with your asset's timezone—ensures accurate detection regardless of TradingView's UTC internal clock.
Tracks the max one-sided move (high - open or open - low) per session, averaging over 1–N previous days (default: 14).
Table Display:
Avg Max Move: Historical average deviation, labeled with days averaged and session time.
Current Move: Real-time displacement from session open (positive for up, negative for down).
Room to Go Up/Down: Remaining distance to reach the average, updating live; appends "REACHED (price)" if hit during the session.
Customisable: Text color, font size (tiny to huge), position (e.g., bottom_left), and value scaling via multiplier/decimal places.
Target Lines:
Optional horizontal lines at "Up Target" (open + avg move) and "Down Target" (open - avg move).
Lines start at the session open bar and extend only through the session duration (e.g., stops at 12:00 for a 07:00-12:00 session)—no further projection post-session.
Fully customisable: Toggle on/off, color, style (solid/dotted/dashed), width, label text/background.
Display Adjustments for Forex/Crypto:
Multiplier: Scales raw values (e.g., set to 10000 for EURUSD to show pips like 45.0 instead of 0.0045).
Decimals: Controls precision (0–5 places) for table values.
How to Use
Add to Chart: Search for "Session Volatility Monitor" in TradingView's indicators and apply to your symbol (e.g., EURUSD for forex, NQ1! for futures, BTCUSD for crypto).
Configure Settings:
Select a session preset or custom range; adjust UTC offset if needed (e.g., +0 for UTC symbols like crypto).
Set "Number of Previous Days to Average" (e.g., 14 for a two-week look back).
For small-tick assets, set Multiplier (e.g., 100 for crypto points, 10000 for forex pips) and Decimals (e.g., 0 for whole numbers).
Customise table position/size/color and target lines for visibility.
Interpret Outputs:
Monitor the table for "room to go"—if Room Up is low/negative, upside might be limited; "REACHED" signals a potential reversal or exhaustion.
Use target lines as visual S/R levels; they auto-start at session open and halt at close.
Combine with price action, volume, or other indicators for entries (e.g., buy near down target if bullish bias).
Example Scenario:
Forex (GBPUSD, 1-min): Set session to "London Kill Zone: 02:00-05:00" (UTC+0), multiplier=10000. Table shows pips; lines mark expected highs/lows.
Limitations and Tips
Historical Data Limits: Averages are capped by TradingView's bar history (e.g., ~14 days on 1-min for free plans). Upgrade for deeper look backs or use higher timeframes.
Session Accuracy: Ensure UTC offset matches your chart—test with the "In Session" plot (enable in Style tab, zoom y-axis if columns are tiny).
No Alerts/Signals: Purely informational; add custom alerts via TradingView for "REACHED" conditions.
Performance: On very low timeframes with long sessions, lines might consume line limits (max ~50)—toggle off if needed.
Tips: For crypto/forex, experiment with multiplier to match your preferred units (e.g., points vs. decimals). Hide debug plot in Style tab for clean charts. If "REACHED" doesn't trigger, verify on historical data where moves exceed averages.
This tool draws from concepts like Average Daily Range but focuses on directional, session-specific volatility for precise intraday decision-making. Feedback welcome!
Disclaimer
This indicator is for educational purposes only and does not constitute financial advice. Always consult a professional before trading.
Pips Promedio - PersonalizableMuestra el promedio de pips de los ultimos 50 dias los ultimos 20 dias y lo que se ha movido en el dia en curso, es personalizable segun tu necesidad.
It shows the average pips for the last 50 days, the last 20 days, and the movement of the current day. It is customizable according to your needs.
Pips Promedio 20 días - AutoEste indicador muestra la media diaria que mueve un par en pips en los ultimos 20 dias .
RSI Bands With RSI - ATR Trend LineRSI Bands With RSI - ATR Trend Line (Smoothed Baseline)
Overview
A trend-following tool that fuses RSI-based regime detection with a smoothed baseline and ATR bands. Trend line aims to stay with the RSI move, cut random noise, and flip cleanly. The line draws green in bulls and red in bears; signals fire only on candle close confirmed flips.
Key Features
✅ Dynamic Trend Detection
RSI (>50 / <50) sets bullish/bearish regime
Smoothed baseline adapts to price while damping whipsaw
ATR-based bands expand/contract with volatility
✅ Precise Signal Generation
Buy when trend flips to bullish (close confirms above the upper band)
Sell when trend flips to bearish (close confirms below the lower band)
Flips require a real band break → fewer false transitions
✅ Visual Clarity
Green line = bullish trend, Red line = bearish trend
✅ Customizable Settings
RSI Length (default 14)
Baseline Smoothing (default 26)
ATR Length (default 14)
ATR Multiplier (default 1.4)
Toggles for Signals and Labels
✅ TradingView Alerts
Built-in Buy & Sell alerts (recommend Once per bar close)
How It Works
Algorithm Logic
RSI Regime: RSI above/below 50 sets bull/bear. At exactly 50, the prior target is carried forward.
Target & Smoothing: A per-bar target is built from the bar’s range and RSI, then smoothed with an EMA-style filter (Baseline Smoothing) to form the baseline.
ATR Bands: Upper/Lower = baseline ± (ATR × Multiplier).
Flip Rule (Supertrend-like):
Close above upper band → bullish flip; trend line tracks the lower band (green).
Close below lower band → bearish flip; trend line tracks the upper band (red).
Between bands → prior trend line persists.
Signals/Alerts: A flip event generates a Buy/Sell signal and alert.
Best Use Cases
Trending Markets – Built to ride sustained moves in either direction.
Multiple Timeframes – Works from intraday to higher TFs; higher TFs usually produce cleaner flips.
Various Asset Classes – Forex, Indices, Stocks, Crypto, Commodities; ATR adapts to volatility.
Recommended Settings
Conservative (Lower Frequency)
RSI 14–20 • Baseline 34 • ATR 14–21 • Multiplier 1.8–2.2
Use for swing/position trading; calmer signal stream.
Balanced (Default)
RSI 14 • Baseline 26 • ATR 14 • Multiplier 1.4
Good general-purpose setup for swing or active intraday.
Aggressive (Higher Frequency)
RSI 10–14 • Baseline 13–21 • ATR 10–14 • Multiplier 1.1–1.3
For scalping/day trading; earlier but noisier flips.
🎨 Visual Elements
RSI Smooth baseline (soft blue)
Upper/Lower ATR Bands (faint blue)
Trend Line (Bull/Bear) drawn only in the active regime (green/red)
Optional Buy/Sell arrows and labels
⚠️ Important Notes
Signals on Close
Flips confirm on bar close. Intrabar crosses can revert; wait for confirmation.
Risk Management
Size positions appropriately; many traders trail beyond the opposite band/line.
Factor in spread, slippage, sessions, and news.
Confirmation & Testing
Combine with structure/volume/HTF bias if desired.
Backtest and forward-test per instrument and timeframe.
For research/education only; not financial advice.
Ultimate Bot v5 (Full Visual + Reversal + Sustained Signals)Ultimate Bot v5 is a powerful, all-in-one Pine Script strategy designed for traders who want both clarity and precision in their charts. It combines classic momentum indicators, volatility filters, and reversal logic to highlight high-probability trade opportunities.
🔹 Key Features
Full Visual Mode – Clean and easy-to-read buy/sell markers with large arrows and labels.
EMA Trend Detection – Fast & slow EMA crossovers for trend direction.
RSI + MACD Confirmation – Confirms entries with momentum & strength checks.
Reversal Alerts – Detects sharp drops or spikes for rebound/reversal plays.
Sustained Signal Mode – Highlights stronger continuation trends, not just short-term flips.
ADX Strength Filter (optional) – Filters out weak/noisy signals during sideways markets.
ATR Dynamic Positioning – Arrows adapt to volatility so they’re always visible.
Custom Alerts – Works with TradingView alerts for buy, sell, and reversal signals.
🔹 Why Use It?
This bot is designed to help traders:
✅ Spot early reversals and potential bounce opportunities
✅ Confirm strong momentum moves with multi-indicator checks
✅ Avoid false signals in choppy markets
✅ Trade with confidence using visual clarity
Swing Points [MTRX]This indicator marks evolving market structure in real time by labeling new swing points as HH, HL, LH, or LL. It displays concise pivot tags on the chart, tracks consecutive higher-low/lower-high counts, and triggers alerts on fresh structure changes—helping traders quickly read trend continuation or potential reversal.
Implied Volatility TestThought for 42sOverview of the "Implied Volatility Suite" Indicator
The "Implied Volatility Suite" is a custom TradingView indicator written in Pine Script (version 6) designed to estimate and visualize implied volatility (IV) for any stock or asset charted on TradingView. Unlike true implied volatility derived from options pricing (e.g., via Black-Scholes), this script provides a synthetic approximation based on historical price data. It offers flexibility by allowing users to choose between two calculation methods: "Model Implied Volatility" (a statistical projection based on log-normal assumptions) or "VixFix" (a historical volatility proxy inspired by Larry Williams' VIX Fix indicator). The output is plotted as an oscillating line, similar to the Relative Strength Index (RSI), making it easy to interpret overbought/oversold conditions or trends in volatility. Users can select what to plot: raw Implied Volatility, IV Rank, IV Percentile, or Volatility Skew Index, with color-coded visuals for quick analysis (e.g., red/green thresholds for ranks/percentiles).
This indicator is particularly useful for stocks without listed options, where real IV data isn't available, or for traders seeking a quick volatility gauge integrated into their charts.
What the Code Does
At its core, the script computes a volatility metric and transforms it into one of four plottable formats, then displays it as a line chart in a separate pane below the main price chart. Here's a breakdown:
User Inputs and Configuration:
Volatility Calculation Method: Choose "Model Implied Volatility" (default) or "VixFix".
Expiry Parameters (for Model method): Minutes, Hours, and Days until expiry (default 45 days). These are combined into Days (as a float for fractional days) and converted to years (Expiry = Days / 365).
Length Parameters: For Model IV rank/percentile (default 365), VixFix length (default 252, with recommendations like 9, 22, etc.), and VixFix rank/percentile length (default 252).
Output Choice: Select "Implied Volatility", "IV Rank", "IV Percentile" (default "IV Rank"), or "Volatility Skew Index".
The script uses spot = close as the reference price.
Core Calculations:
Model Implied Volatility:
Computes log returns: LogReturn = math.log(spot / spot ) (percentage change between prior bars).
Calculates the simple moving average (Average) and standard deviation (STDEV) of log returns over an integer-rounded Days period.
Projects a time-adjusted mean (Time_Average = Days * Average) and standard deviation (Time_STDEV = STDEV * math.sqrt(Days)), assuming a random walk scaled by time.
Derives upper and lower bounds for the price at expiry: upper = spot * math.exp(Time_Average + 1 * Time_STDEV) and lower = spot * math.exp(Time_Average - 1 * Time_STDEV), representing a 1-standard-deviation range under log-normal distribution.
Computes the width of this range (width = upper - lower), halves it to get standard_dev, and annualizes it to sigma: sigma = standard_dev / (spot * math.sqrt(Expiry)).
Applies an "optimizer": If sigma > 1, halve it (to prevent unrealistically high values).
Result: IV (a decimal, e.g., 0.25 for 25% IV).
VixFix (Synthetic VIX Proxy):
Based on Larry Williams' VIX Fix formula, which estimates fear/volatility without options data: (ta.highest(spot, VIXFixLength) - low) / ta.highest(spot, VIXFixLength) * 100.
The script extends this for "upside" and "downside" by shifting the spot and low prices by multiples of standard deviation (0 for base VixFix).
VixFix is the average of upside(0) and downside(0), which are identical, yielding the standard VIX Fix value.
Volatility Skew Index:
Measures asymmetry in volatility (e.g., higher downside vol indicating fear).
For Model: Averages "upside IV" (calculated on spot shifted up by 1,2,3 * stdev) minus "downside IV" (shifted down).
For VixFix: Similar, but using shifted VIX Fix formulas for upside/downside.
Positive skew might indicate upside bias; negative indicates downside.
Rank and Percentile:
IV Rank: Normalizes the current volatility: (Volatility - ta.lowest(Volatility, Len)) / (ta.highest(Volatility, Len) - ta.lowest(Volatility, Len)) * 100.
IV Percentile: Uses ta.percentrank(Volatility, Len) to show what percentage of past values are below the current.
Len depends on the chosen method (e.g., 365 for Model).
Plotting and Visualization:
Selects VolatilityData based on user choice (e.g., IV * 100 for percentage display).
Applies colors: Red (<50) or green (>=50) for rank/percentile; aqua for skew; yellow for raw IV.
Plots as a line: plot(VolatilityData, color=col, title="Volatility Data").
The script switches logic seamlessly via conditionals (e.g., Volatility = VolCalc == "VixFix" ? VixFix : IV), ensuring the chosen method and output are used.
How It Works (Step-by-Step Execution Flow)
Initialization: Reads user inputs and sets spot = close. Computes Days (float) and DaysInt = math.round(Days) for integer lengths in TA functions.
Log Returns and Base Stats: For Model, calculates log returns, then SMA and STDEV over DaysInt.
Projection and IV Derivation: Scales stats to expiry time, computes bounds, derives sigma/IV.
Skew Functions: Defines reusable functions Model_Upside(i) and Model_Downside(i) (or VIX equivalents) to shift prices and recompute IV/VIX on shifted series.
Aggregation: Computes skew as average difference; sets Volatility to IV or VixFix.
Rank/Percentile/Skew: Applies over user-defined lengths.
Output Logic: Determines what to plot and its color based on VolatilityChoice.
Rendering: Plots the line in TradingView's indicator pane, updating bar-by-bar.
This leverages Pine Script's built-in functions like ta.sma, ta.stdev, ta.highest/lowest, and math.exp/log for efficiency.
Pros
Accessibility: Provides IV estimates for non-optionable assets (e.g., individual stocks, ETFs without options), filling a gap in TradingView's native tools.
Customization: Multiple methods (Model for forward-looking, VixFix for historical) and outputs (raw, ranked, percentile, skew) allow tailored analysis. Expiry adjustments make it suitable for options-like thinking.
Visual Simplicity: Oscillates like RSI (0-100 for ranks/percentiles), with intuitive colors, aiding quick decisions (e.g., high IV Rank might signal options selling opportunities).
No External Data Needed: Relies solely on chart data (close, low), making it lightweight and real-time.
Educational Value: Exposes users to volatility concepts like skew and log-normal projections, potentially improving trading strategies.
Flexibility in Timeframes: Works on any chart interval, with adjustable lengths for short-term (e.g., 9-bar VixFix) or long-term (365-day ranks).
Limitations
Not True Implied Volatility: This is a historical or model-based proxy, not derived from actual options prices. It may overestimate/underestimate real market-implied vol, especially during events (e.g., earnings) where options premium spikes unpredictably.
Assumptions in Model Method: Relies on log-normal distribution and constant volatility, ignoring fat tails, jumps, or mean reversion in real markets. The "optimizer" (halving sigma >1) is arbitrary and may distort results.
VixFix Variant Limitations: While based on a proven indicator, the upside/downside shifts (by stdev of prices, not returns) could be inaccurate for skew, as stdev(prices) doesn't scale properly with returns. It's backward-looking, not predictive like true IV.
Data Requirements: Needs sufficient historical bars (e.g., 365 for ranks), failing on new listings or short charts. Rounding Days to integer may introduce minor inaccuracies for fractional expiries.
Computational Intensity: Functions like repeated ta.stdev and shifts for skew (called multiple times per bar) could slow performance on long histories or low-power devices.
No Real-Time Options Integration: Doesn't pull live options data; users must manually compare to actual IV (e.g., via CBOE VIX for indices).
Potential for Misinterpretation: Oscillating line might mislead (e.g., high IV Rank doesn't always mean "sell vol"), and skew calculation is non-standard, requiring user expertise.
Version Dependency: Built for Pine v6 (as of 2025); future TradingView updates could break it, though it's straightforward to migrate.
Overall, this script is a valuable tool for volatility-aware trading but should be used alongside other indicators (e.g., ATR, Bollinger Bands) and validated against real options data when available. For improvements, consider backtesting its signals or integrating alerts for thresholds.1.9sHow can Grok help?
Traders Reality Rate Spike Monitor 0.1 betaTraders Reality Rate Spike Monitor
## **Early Warning System for Interest Rate-Driven Market Crashes**
Based on critical market analysis revealing the dangerous correlation between interest rate spikes and major market selloffs, this indicator provides **three-tier alerts** for US 10-Year Treasury yield acceleration.
### **📊 Key Market Intelligence:**
**Historical Precedent:** The 2018 market crash occurred when unrealized bank losses hit $256 billion with interest rates at just 2.5%. **Current unrealized losses have reached $560 billion** - more than double the 2018 levels - while rates sit at 4.5%.
**Critical Vulnerabilities:**
- **$559 billion in tech sector debt** maturing through 2025
- **65% of investment-grade debt** rated BBB (vulnerable to adverse conditions)
- **$9.5 trillion in total debt** requiring refinancing
- Every 1% rate increase costs the economy **$360 billion annually**
### **🚨 Alert System:**
**📊 WATCH (20+ basis points/3 days):** Early positioning signal
**⚠️ WARNING (30+ basis points/3 days):** Prepare for volatility
**🚨 CRITICAL (40+ basis points/3 days):** Historical crash threshold
### **💡 Why This Matters:**
Interest rate spikes historically trigger major market corrections:
- **2018:** 70 basis points spike → 20% S&P 500 crash
- **2025:** Similar pattern led to massive selloffs
- **Current risk:** 2x higher unrealized losses than 2018
### **⚡ Features:**
✅ **Zero chart clutter** - invisible until alerts trigger
✅ **Dynamic calculation** - automatically adjusts to current yield levels
✅ **Multi-timeframe compatibility** - works on any chart timeframe
✅ **Professional alerts** - with actual basis point calculations
### **🎯 Use Case:**
Perfect for traders and investors who understand that **debt refinancing pressure** and **unrealized bank losses** create systemic risks that manifest through interest rate volatility. When rates spike rapidly, leveraged positions unwind and markets crash.
**"Every point costs us $360 billion a year. Think of that."** - This indicator helps you see those critical rate movements before the market does.
---
**Disclaimer:** This indicator is for educational purposes. Past performance does not guarantee future results. Always manage risk appropriately.
---
This description positions your indicator as a **serious professional tool** based on real market analysis rather than just another technical indicator! 🚀
Strenth Comparison [joshu]Strenth Comparison visualizes relative performance across a basket of assets by measuring percent change from the chosen anchor timeframe’s open.
Each new anchor period resets the baseline to 0%, making it easy to spot leaders/laggards and momentum shifts over time.
Anchor timeframe (TF, default: 1W): The period used as the performance baseline.
Assets : Currencies or American Indices.
Symbols :
Currencies: CME:6S1!, CME:6E1!, CME:6B1!, CME:6J1!, CME:6A1!, CME:6N1!, TVC:DXY (inverted for comparability).
American Indices: CME_MINI:ES1!, CME_MINI:NQ1!, CBOT_MINI:YM1!, CME_MINI:RTY1!.
Visuals: All lines plotted in percent; DXY is inverted and highlighted; labels show the symbol at the latest bar; zero line for reference; vertical dividers mark new anchor periods.
Use cases: Compare strength/weakness within FX or US index baskets; monitor rotation, divergence, and leadership over weekly (or chosen) cycles.