Parabolic Move Indicator for catching moves with Penny Stocks.
Catch the day’s first big moves! Track premarket gap-ups or gap-downs, then spot early momentum shifts using volume, RSI, VWAP, EMAs, and breakout levels—perfect for acting on strong intraday setups right at market open.
**Description:**
The Parabolic Move Scanner + VWAP Bands + EMAs indicator helps traders identify **high-probability intraday moves**, particularly immediately after market open. It is ideal for stocks that **gap up or down premarket, pull back slightly, and then show renewed strength or weakness** once regular trading begins.
The indicator combines multiple components for precise signals:
* **Relative Volume Filter: ** Highlights bars with unusually high activity to ensure signals are backed by real participation.
* **RSI Momentum Change: ** Detects sudden momentum shifts to identify early strength or weakness.
* **Recent Highs/Lows Breakout: ** Confirms price is breaking short-term resistance or support.
* **VWAP & Standard Deviation Bands: ** Provides intraday trend reference points, with optional daily reset.
* **Exponential Moving Averages (EMAs): ** Tracks trend across short, medium, and long-term intraday periods.
* **Visual Signals: ** Background highlights and horizontal breakout lines make it easy to spot key bars.
* **Alerts: ** Configurable alerts notify you of bullish or bearish parabolic moves.
**Optimal Use Case: **
Use in the first 15–30 minutes after market open at 1 minute Time Frame. Best for **stocks showing a premarket gap followed by a pullback**, then resuming strength (bullish) or weakness (bearish). The combination of **volume, RSI, breakouts, VWAP, and EMAs** ensures you identify the **day’s biggest marktet open moves especially with penny stocks moves** with higher confidence.
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### **Recommended Settings**
**Component** | **Recommended Setting** | **Description / Purpose**
| **Volume Average Length** | 20 bars | Period for calculating average volume to detect relative spikes. |
| **Volume Multiplier** | 2.0 | Current bar volume must exceed 2× average to signal high activity. |
| **RSI Length** | 7 bars | Short-term RSI period to measure momentum changes. |
| **RSI Change Threshold** | 7 | Minimum RSI change required to trigger momentum signal. |
| **Recent Highs Lookback** | 5 bars | Number of bars to check for short-term breakout levels. |
| **Horizontal Line Length** | 10 bars | Length of horizontal breakout line drawn on the chart. |
| **Horizontal Line Color** | Green (bullish) / Red (bearish) | Visual identification of breakout levels. |
| **Horizontal Line Thickness** | 1 | Line width for breakout visualization. |
| **VWAP Source** | hlc3 | Price source for VWAP calculation. |
| **VWAP Bands Multipliers** | 1×, 2×, 3× | Standard deviation multiples for intraday bands.
| **VWAP Daily Reset** | Enabled | Resets VWAP at the start of each trading day.
| **EMA Lengths** | 9, 13, 20, 33, 50 | Short, medium, and long-term EMAs to track intraday trend. |
| **Enable Bearish Signals** | True | Allows detection of bearish parabolic moves. |
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Volatilite
YBL – LITE HUD (Vol/Δ + RVOL + Squeeze) + ADV📌 Description – YBL – LITE HUD (Vol/Δ + Heatmap RVOL + Squeeze) + ADV
The YBL – LITE HUD is a compact yet powerful dashboard built for traders who value clarity and precision without sacrificing depth.
🔹 Vol/Δ (Volume Delta): highlights the imbalance between buyers and sellers in real time, exposing absorption and institutional pressure.
🔹 Heatmap RVOL: transforms relative volume into a dynamic heatmap, emphasizing unusual activity compared to historical averages.
🔹 Squeeze Momentum: detects volatility compression phases and signals potential breakout opportunities.
🔹 Normalization (z-score): all calculations are scaled for consistent comparison, with colors mapped to zVol intensity for intuitive reading.
🔹 ADV (Average Daily Volume): provides context with daily average volume benchmarks to validate the true strength of moves.
👉 The result is a lightweight, visual HUD designed for scalping and intraday trading, combining order flow, relative volume, and statistical context into a single glance.
YBL – MASTER PACK (REV + SQZ + SR + CLOUD + ABS)📊 Breakdown of the MASTER PACK
REV (Reversals Detector)
Spots potential turning points using volume imbalance, exhaustion, and delta shifts.
Shows reversal signals (arrows/labels) when the probability of trend change is high.
SQZ (Squeeze Momentum)
Combines Bollinger Bands and Keltner Channels to identify volatility squeezes.
Histogram + colored momentum bars show if energy is building up (ready for breakout) or fading.
SR (Support & Resistance Levels)
Auto-plots HTF levels (15m / 1h / 4h configurable).
Deduplicates and merges close levels to keep the chart clean.
Gives a map of where price is most likely to react.
CLOUD (Trend Cloud)
EMA/VWAP hybrid cloud that changes color with bias (green = bullish, red = bearish).
Shows momentum zones and filters fake moves.
Optional signals on EMA/VWAP crosses (A+ / V– markers).
ABS (Absorptions + Traps)
Detects aggressive ask/bid absorption with big volume spikes and no follow-through.
Marks institutional traps (fake breakouts) with confirmation windows.
Draws small boxes/labels so you know where institutions defended levels.
🎯 What this pack gives you
A full trading dashboard: structure (SR), volatility (SQZ), momentum/trend (CLOUD), absorption/traps (ABS), and reversal timing (REV).
Optimized for intraday scalping and swing trading.
Designed compactly: all modules in one script, no need to load 5 indicators separately.
With ON/OFF toggles so you can keep only what you need.
👉 Think of it as the “YBL Premium Toolkit”:
SR tells you where price matters.
SQZ tells you when volatility is about to expand.
CLOUD tells you what the current bias is.
ABS tells you where institutions defend.
REV tells you when it’s time to flip direction.
Swing Elite Macro Valuation ToolThis tool evaluates macro valuation conditions by comparing the current price of an asset to key macroeconomic instruments (like ZB1 bonds, DXY dollar index, and GC1 gold or more futures, like silver, sf, jpy and many others). It provides normalized valuation readings, plots overvalued/undervalued zones, and includes a live table and alerts.
⸻
Key Features:
1. Macro Valuation Indexes
• Compare the charted asset against up to 3 macro symbols.
• Normalize performance as % move from historical baseline.
• Modes: Short-term or Long-term .
2. Over/Undervaluation Detection
• Choose manual levels or automatic dynamic bands based on standard deviation.
• Default thresholds: Overvalued ≥ 88, Undervalued ≤ 10.
3. Visual Outputs
• Colored plots per macro asset:
• 🔴 Red = Overvalued
• 🟢 Green = Undervalued
• 🔵 Neutral/Normal
• Upper, lower, and mid reference lines.
4. Valuation Table
• Displays each macro asset’s:
• Name
• Current valuation %
• Status (Over / Under / Normal)
• Color signal dot
5. Multi-Timeframe Support
• Choose chart timeframe or set a custom valuation timeframe.
6. Alerts
• Alert conditions for over/undervalued signals per macro symbol.
⸻
Usage Instructions:
1. Select Valuation Mode
• Use "Short-term" for recent sentiment.
• Use "Long-term" to evaluate deeper macro positioning.
2. Choose Comparison Symbols
• Enable/disable ZB1, DXY, GC1 or replace with any symbols you want.
3. Adjust Levels
• Select "ManualLevels" or "AutoLevels".
• Tune Overvalued, Undervalued, Lookback, and Multiplier.
4. Set Table Display
• Enable "Show Table" and select its screen position.
5. Set Alerts
• Configure alert triggers from the alert panel (based on valuation levels).
⸻
Perfect For:
Traders who want to analyze asset pricing in context of macro trends, mean reversion, and relative strength/weakness of bonds, the dollar, or gold. Ideal for intermarket analysis and value-based swing trading.
All-In-One MA Stack ScalperWhat is this Indicator?
This tool is an advanced, multi-layered breakout and trend-following indicator designed for lower timeframes. It identifies high-conviction buy and sell signals by combining moving average stacking with a suite of professional-grade filters.
How Does It Work?
A signal is generated only when ALL of the following conditions are met:
Moving Average Stack (5M Chart):
Buy: The close price is above all five moving averages (MAs: 100, 48, 36, 24, 12).
Sell: The close price is below all five MAs.
Volatility Filter (ATR):
Signals only print when the current ATR (14) is at least 80% of its 100-period average, ensuring you only trade in actively moving markets.
Candle Structure Filter:
The current candle must have a real body that is at least 35% of the candle’s total range, filtering out dojis and indecision bars.
Big Candle Filter:
The candle’s total range must be at least 40% of the current ATR, avoiding signals on minor, insignificant moves.
Volume Filter:
The current volume must be at least 80% of its 50-period average, filtering out signals during illiquid or quiet market conditions.
Minimum Distance from All MAs:
Price must be a minimum distance (20% ATR) away from each MA, confirming a clean breakout and avoiding signals in tight MA clusters or ranging markets.
RSI Momentum Filter:
Buy: RSI(14) must be greater than 55.
Sell: RSI(14) must be less than 45.
This ensures trades are only taken in the direction of momentum.
ADX Trend Filter:
ADX(14,14) must be above 20, ensuring signals only print in trending conditions (not in chop/range).
Minimum Bars Between Signals:
Only one signal per direction is allowed every 10 bars to avoid overtrading and signal clustering.
What Does This Achieve?
Reduces noise and false signals common in basic MA cross or stack systems.
Captures only strong, high-momentum, and high-conviction moves.
Helps you avoid chop, range, and news whipsaws by combining multiple market filters.
Perfect for advanced scalpers, intraday trend followers, or as a trade filter for algos/EAs.
How to Use It:
Apply to your 5-minute chart.
Green BUY signals: Only when all bullish conditions align.
Red SELL signals: Only when all bearish conditions align.
Use as a stand-alone system or as a filter for your own entries.
Recommended For:
Scalpers & intraday traders who want only the best opportunities.
EA and bot builders seeking reliable signal logic.
Manual traders seeking confirmation of high-probability breakouts.
Tip:
Adjust any of the filters (e.g., RSI/ADX thresholds, minBars, minDist) to make it more/less selective for your style or market.
fcsm new AOA clean, rules-based signal tool that combines Bollinger Bands breakouts with a multi-timeframe Awesome Oscillator (AO) filter.
Designed for entries on a lower timeframe (e.g., M15) while confirming trend bias from higher timeframes
VBC Signals with TP/SL V1.0This script was based on volume break candle theory.
VBC has a very simple idea. It uses the principle that if the price of the XAUUSD asset rises above a specified range of at least 600 points (configuarable) continuously, and a candle breaks the upward trend, a signal will be generated to sell. The entry principle is to enter at the price at the last bullish candle with TP300 SL300.
On the other hand, if the price of xauusd falls below the specified level of 600 points and a candle breaks the price down by 1 candle, a BUY signal will occur, and the ENTRY and TP SL will use the same values as the SELL signalใ
How it works:
SELL SIGNAL : When the asset price rises above 600 points continuously and a "SELL" signal occurs, place a limit sell order at the pair of green and red bars that formed the signal, specifying a TP of 300 and SL of 300.
BUY SIGNAL : When the asset price falls more than 600 points continuously and a "BUY" signal occurs, place a limit sell order at the double bar pattern of the red and green bars that formed the signal, specifying a TP of 300 and a SL of 300.
Disclaimer: This script is for educational purposes only. It does not constitute financial advice. Always do your own research before making trading decisions.
NOTE: For certain XAUUSD of certain broker (for instance XAUUSD on OANDA), the signal might found to often, just multiple the threshold by 10, then 600 will be come 6000
EMA Envelope + SMA + Purple DotThis indicator combines three tools into one:
📈 EMA Envelope with wedge and range contraction signals to highlight volatility squeezes.
🔵 SMA with optional smoothing (SMA/EMA/WMA/SMMA/VWMA) and optional Bollinger Bands.
🟣 Purple Dot “PowerBars” that mark strong momentum bars when price ROC (%) and volume exceed user-defined thresholds.
It also includes:
Background highlighting of contraction zones (bullish/bearish/neutral colors).
A summary table showing PowerBar count and return (%) over custom lookback periods.
Flexible display settings (table position, dark/light theme, highlight toggle).
Designed for traders who want to track momentum bursts, volatility contraction, and trend strength all in one tool.
Volume TargetThis tool highlights unusual volume by comparing it against a moving average benchmark. Users can set the average type/length and define a volume target as a percentage of that average. The script colors bars and provides alerts when volume exceeds the target
Theil-Sen Line Filter [BackQuant]Theil-Sen Line Filter
A robust, median-slope baseline that tracks price while resisting outliers. Designed for the chart pane as a clean, adaptive reference line with optional candle coloring and slope-flip alerts.
What this is
A trend filter that estimates the underlying slope of price using a Theil-Sen style median of past slopes, then advances a baseline by a controlled fraction of that slope each bar. The result is a smooth line that reacts to real directional change while staying calm through noise, gaps, and single-bar shocks.
Why Theil-Sen
Classical moving averages are sensitive to outliers and shape changes. Ordinary least squares is sensitive to large residuals. The Theil-Sen idea replaces a single fragile estimate with the median of many simple slopes, which is statistically robust and less influenced by a few extreme bars. That makes the baseline steadier in choppy conditions and cleaner around regime turns.
What it plots
Filtered baseline that advances by a fraction of the robust slope each bar.
Optional candle coloring by baseline slope sign for quick trend read.
Alerts when the baseline slope turns up or down.
How it behaves (high level)
Looks back over a fixed window and forms many “current vs past” bar-to-bar slopes.
Takes the median of those slopes to get a robust estimate for the bar.
Optionally caps the magnitude of that per-bar slope so a single volatile bar cannot yank the line.
Moves the baseline forward by a user-controlled fraction of the estimated slope. Lower fractions are smoother. Higher fractions are more responsive.
Inputs and what they do
Price Source — the series the filter tracks. Typical is close; HL2 or HLC3 can be smoother.
Window Length — how many bars to consider for slopes. Larger windows are steadier and slower. Smaller windows are quicker and noisier.
Response — fraction of the estimated slope applied each bar. 1.00 follows the robust slope closely; values below 1.00 dampen moves.
Slope Cap Mode — optional guardrail on each bar’s slope:
None — no cap.
ATR — cap scales with recent true range.
Percent — cap scales with price level.
Points — fixed absolute cap in price points.
ATR Length / Mult, Cap Percent, Cap Points — tune the chosen cap mode’s size.
UI Settings — show or hide the line, paint candles by slope, choose long and short colors.
How to read it
Up-slope baseline and green candles indicate a rising robust trend. Pullbacks that do not flip the slope often resolve in trend direction.
Down-slope baseline and red candles indicate a falling robust trend. Bounces against the slope are lower-probability until proven otherwise.
Flat or frequent flips suggest a range. Increase window length or decrease response if you want fewer whipsaws in sideways markets.
Use cases
Bias filter — only take longs when slope is up, shorts when slope is down. It is a simple way to gate faster setups.
Stop or trail reference — use the line as a trailing guide. If price closes beyond the line and the slope flips, consider reducing exposure.
Regime detector — widen the window on higher timeframes to define major up vs down regimes for asset rotation or risk toggles.
Noise control — enable a cap mode in very volatile symbols to retain the line’s continuity through event bars.
Tuning guidance
Quick swing trading — shorter window, higher response, optionally add a percent cap to keep it stable on large moves.
Position trading — longer window, moderate response. ATR cap tends to scale well across cycles.
Low-liquidity or gappy charts — prefer longer window and a points or ATR cap. That reduces jumpiness around discontinuities.
Alerts included
Theil-Sen Up Slope — baseline’s one-bar change crosses above zero.
Theil-Sen Down Slope — baseline’s one-bar change crosses below zero.
Strengths
Robust to outliers through median-based slope estimation.
Continuously advances with price rather than re-anchoring, which reduces lag at turns.
User-selectable slope caps to tame shock bars without over-smoothing everything.
Minimal visuals with optional candle painting for fast regime recognition.
Notes
This is a filter, not a trading system. It does not account for execution, spreads, or gaps. Pair it with entry logic, risk management, and higher-timeframe context if you plan to use it for decisions.
Ark FCI OscillatorFinancial Conditions Index Oscillator
This indicator tracks week-over-week changes in the National Financial Conditions Index (NFCI), providing a dynamic view of evolving financial conditions in the United States.
Overview
The National Financial Conditions Index (NFCI) is a comprehensive weekly composite index published by the Federal Reserve Bank of Chicago. It measures financial conditions across U.S. money markets, debt and equity markets, and the traditional and shadow banking systems.
Interpretation
Positive values indicate improving financial conditions
Negative values signal deteriorating financial conditions
Risk assets demonstrate particular sensitivity to changes in financial conditions, making this oscillator valuable for market timing and risk assessment.
Alternative Data Source
Users can modify the source to FRED:NFCIRISK to focus specifically on risk dynamics. The NFCIRISK subindex isolates volatility and funding risk measures within the financial sector, capturing market volatility indicators and liquidity shortage probabilities while excluding broader credit and leverage conditions.
Volume + RSI & MA Differential"Volume + RSI & MA Differential," integrates volume, RSI, and moving average differentials to generate trading signals. The script calculates a 14-period RSI to identify overbought or oversold conditions, with customizable thresholds for buy and sell signals. It also computes a 20-period SMA of the volume to smooth out trading activity data, helping to identify trends in market participation.
The script incorporates a fast (50-period) and a slow (200-period) SMA to analyze short-term and long-term trends, respectively. The differential between these moving averages, adjusted by the volume SMA, is used to identify potential trend changes or confirmations. Bars are colored yellow when the RSI is below the buy threshold and volume is high, indicating a potential buy signal. Conversely, bars turn red when the RSI is above the sell threshold and the fast MA is below the current close price, suggesting a potential sell signal. Neutral conditions result in grey bars.
Additionally, the script uses color-coding to plot the volume SMA and a line that changes color based on the moving average differential. A black line indicates a broadening MA cloud and a bullish trend, while a grey line suggests a narrowing MA cloud and a potential selloff. A yellow line signals the beginning of a buyback. This visual representation helps traders quickly identify potential trading opportunities and trend changes, making the script a valuable tool for technical analysis.
Candle Spread + ATR SMA Analysis
This indicator combines elements from two popular open-source scripts — Candle Range Compare
by @oldinvestor
and Objective Analysis of Spread (VSA)
by @Rin-Nin
— into a single tool for analyzing candle spreads (ranges and bodies) in relation to volatility benchmarks.
🔎 What It Does
Candle Decomposition:
Plots total candle ranges (high–low) in gray, for both up and down closes.
Plots up-close bodies (open–close) in white.
Plots down-close bodies in black.
This makes it easy to spot whether volatility comes from real price movement (body) or extended wicks.
ATR & SMA Volatility Bands:
Calculates ATR (Average True Range) and overlays it as a black line.
Plots four volatility envelopes derived from the SMA of the true range:
0.8× (blue, shaded)
1.3× (green)
1.8× (red)
3.0× (purple)
Colored fill zones highlight when candle spreads are below, within, or above key thresholds.
Visual Context:
Track expansion/contraction in spreads.
Compare bullish (white) vs bearish (black) bodies to gauge buying/selling pressure.
Identify when candles stretch beyond typical volatility ranges.
📈 How To Use It
VSA context: Wide down bars (black) beyond ATR bands may suggest supply; wide up bars (white) may indicate demand.
Trend confirmation: Expanding ranges above average thresholds (green/red/purple bands) often confirm momentum.
Reversal potential: Small bodies but large ranges (gray + wicks) frequently appear at turning points.
Volatility filter: Use ATR bands to filter trades — e.g., only act when candle ranges exceed 1.3× or 1.8× SMA thresholds.
🙏 Credits
This script is inspired by and combines ideas from:
Candle Range Compare
by @oldinvestor
Objective Analysis of Spread (VSA)
by @Rin-Nin
Big thanks to both authors for their valuable contributions to the TradingView community.
One thing I couldnt quite get to work is being able to display up and down wicks like in the candle range compare, so I just add that indicator to the chart as well, uncheck everything but the wick plots and there it is.
PCV (Darren.L-V2)Description:
This indicator combines Bollinger Bands, CCI, and RVI to help identify high-probability zones on M15 charts.
Features:
Bollinger Bands (BB) – displayed on the main chart in light gray. Helps visualize overbought and oversold price levels.
CCI ±100 levels + RVI – displayed in a separate sub-window:
CCI only shows the ±100 reference lines.
RVI displays a cyan main line and a red signal line.
Valid Zone Detection:
Candle closes outside the Bollinger Bands.
RVI crosses above +100 or below -100 (CCI level reference).
Candle closes back inside the BB, confirming a price rebound.
Requires two touches in the same direction to confirm the zone.
Only zones within 20–30 pips range are considered valid.
Usage:
Helps traders spot reversal or bounce zones with clear visual signals.
Suitable for all indices, Forex, and crypto on M15 timeframe.
PCV Setup (By Darren.L)The PCV Setup is designed for M15 scalping trading.
It combines Bollinger Bands (volatility), CCI (momentum), and RVI (trend confirmation) to filter false signals and improve accuracy.
Sniper Swing — Short TF (Clean Signals) [v6]📘 How to Use the Sniper Swing Indicator
1. What It Does
It looks for short-term swing breaks in price.
It uses an oscillator (RSI/Stoch) and swing pivots to confirm moves.
It gives you 3 clear signals only:
BUY → Enter long (expecting price to go up).
Gay bear → Enter short (expecting price to go down).
EXIT → Close your trade (long or short).
Candles also change color:
Green = in a BUY trade.
Red = in a Gay bear trade.
Neutral (gray/none) = no trade.
2. When to Use
Works best on short timeframes (1m–5m) for scalping/intraday.
Use on liquid markets (MES/ES, NQ, SPY, BTC, ETH).
Avoid dead hours with no volume (like overnight futures lull or midday chop).
3. How to Trade With It
A. BUY trade
Wait for a BUY triangle below the candle.
Confirm:
Candle turned green.
Price broke a recent swing high.
Oscillator shows strength (indicator does this for you).
Enter long at the close of that candle.
Place your stop-loss:
At the yellow stop line (auto trailing stop), or
Just below the last swing low.
Stay in while candles are green.
Exit when:
An orange X appears, or
Price hits your stop.
B. Gay bear (short) trade
Wait for a Gay bear triangle above the candle.
Confirm:
Candle turned red.
Price broke a recent swing low.
Oscillator shows weakness.
Enter short at the close of that candle.
Place stop-loss:
At the yellow stop line, or
Just above the last swing high.
Stay in while candles are red.
Exit on an orange X or stop hit.
4. Pro Tips for New Traders
Only take one signal at a time → don’t double dip.
Quality > Quantity: ignore weak, sideways markets. Best signals happen during trends.
Start small: trade micros (MES) or small position sizes.
Use alerts: set TradingView alerts for BUY/Gay bear/EXIT so you don’t miss setups.
Think of the indicator like a navigator: it tells you the likely path, but you’re the driver → always manage risk.
5. Quick Mental Checklist
Signal? (BUY or Gay bear triangle)
Confirmed? (candle color + swing break)
Enter? (on close)
Stop? (yellow line or swing)
Exit? (orange X or stop)
Laguerre-Kalman Adaptive Filter | AlphaNattLaguerre-Kalman Adaptive Filter |AlphaNatt
A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities.
"The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading."
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🎯 KEY FEATURES
Dual-Filter Architecture: Combines two powerful filtering methods for superior performance
Adaptive Volatility Adjustment: Automatically adapts to market conditions
Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages
Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend
Clean Visual Design: Color-coded trend visualization (cyan/pink)
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📊 THE MATHEMATICS
1. Laguerre Filter Component
The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter:
4th order IIR (Infinite Impulse Response) filter
Single parameter (gamma) controls all filter characteristics
Provides smoother output than EMA with similar lag
Based on Laguerre polynomials from quantum mechanics
2. Kalman Filter Component
Implements a simplified Kalman filter for optimal estimation:
Prediction-correction algorithm from aerospace engineering
Dynamically adjusts based on estimation error
Provides mathematically optimal estimate of true price trend
Reduces noise while maintaining responsiveness
3. Adaptive Mechanism
Monitors market volatility in real-time
Adjusts filter parameters based on current conditions
More responsive in trending markets
More stable in ranging markets
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⚙️ INDICATOR SETTINGS
Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag
Adaptive Period (5-100): Lookback for volatility calculation
Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering
Trend Threshold (0.0001-0.01): Minimum change to register trend shift
Recommended Settings:
Scalping: Gamma: 0.6, Period: 10, Noise: 0.3
Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default)
Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8
Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2
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📈 TRADING SIGNALS
Primary Signals:
Cyan Line: Bullish trend - price above filter and filter ascending
Pink Line: Bearish trend - price below filter or filter descending
Color Change: Potential trend reversal point
Entry Strategies:
Trend Continuation: Enter on pullback to filter line in trending market
Trend Reversal: Enter on color change with volume confirmation
Breakout: Enter when price crosses filter with momentum
Exit Strategies:
Exit long when line turns from cyan to pink
Exit short when line turns from pink to cyan
Use filter as trailing stop in strong trends
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✨ ADVANTAGES OVER TRADITIONAL INDICATORS
Vs. Moving Averages:
Significantly less lag while maintaining smoothness
Adaptive to market conditions
Better noise filtering
Vs. Standard Filters:
Dual-filter approach provides optimal estimation
Mathematical foundation from signal processing
Self-adjusting parameters
Vs. Other Trend Indicators:
Cleaner signals with fewer whipsaws
Works across all timeframes
No repainting or lookahead bias
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🎓 MATHEMATICAL BACKGROUND
The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages.
The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements.
By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise.
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💡 TIPS FOR BEST RESULTS
Confirm with Volume: Strong trends should have increasing volume
Multiple Timeframes: Use higher timeframe for trend, lower for entry
Combine with Momentum: RSI or MACD can confirm filter signals
Market Conditions: Adjust noise parameter based on market volatility
Backtesting: Always test settings on your specific instrument
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⚠️ IMPORTANT NOTES
No indicator is perfect - always use proper risk management
Best suited for trending markets
May produce false signals in choppy/ranging conditions
Not financial advice - for educational purposes only
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🚀 CONCLUSION
The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions.
Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives.
"In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge."
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Developed by AlphaNatt | Professional Quantitative Trading Tools
Version: 1.0
Last Updated: 2025
Pine Script: v6
License: Open Source
Not financial advice. Always DYOR
TRADIVEX_ATR TablosuBINANCE:BTCUSDT.P tr.tradingview.com ## **TRADIVEX\_ATR Table – Indicator Description**
**Overview:**
The TRADIVEX\_ATR Table is a versatile trading tool that provides a concise, visual overview of market volatility, price direction, and ATR-based support/resistance levels. Designed for traders seeking quick insights, this indicator combines key metrics into a color-coded table directly on the chart.
**Key Features:**
* **ATR Calculation & Dynamic Bands:**
Measures Average True Range (ATR) over a configurable period and calculates upper and lower price bands using a multiplier. These bands act as dynamic support and resistance levels, adapting automatically to market volatility.
* **Volatility Assessment:**
Displays market volatility as a percentage of the current price. Volatility is classified into **High, Medium, or Low**, with intuitive color coding:
* High → Red
* Medium → Orange
* Low → Green
* **Price Direction:**
Tracks the direction of the current price relative to the previous bar:
* Up → Green
* Down → Red
* Neutral → Gray
* **Information Table:**
Shows all relevant metrics in a structured table overlay, including:
1. ATR Length (period)
2. ATR Multiplier
3. Upper Band Level
4. Lower Band Level
5. Current Price
6. High Price
7. Low Price
8. ATR Value
9. Volatility Level (color-coded)
10. Price Direction (color-coded)
* **Customizable Table Position:**
The table can be positioned anywhere on the chart (top, middle, bottom, left, right, or center), ensuring it doesn’t obstruct your price action analysis.
**Usage & Benefits:**
* Quickly assess market volatility and momentum.
* Identify short-term trends and directional bias.
* Monitor dynamic ATR-based support/resistance levels.
* Make informed decisions for entries, exits, and stop-loss placements.
**Ideal For:**
Traders who want a **real-time, visual summary of market conditions** without cluttering the chart with multiple indicators.
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PumpC ATR Line LevelsPumpC ATR Line Levels
Overview
PumpC ATR Line Levels is a volatility-based indicator that projects potential expansion levels from the previous session’s close using the Average True Range (ATR). This tool builds upon the Previous OHLC framework created by Nephew_Sam_ by extending its session-handling logic and adding ATR-based levels, statistical tracking, and flexible visualization options.
How It Works
Calculates ATR from a user-selectable higher timeframe (default: Daily).
Projects levels above and below the previous session’s close (or current close when preview mode is enabled).
Supports up to 5 ATR multiples, each with independent toggles, colors, and labels.
Optionally displays only the most recent ATR session for clarity.
Includes a data table tracking how often ATR levels are reached or closed beyond.
Features
Configurable ATR timeframe and length (default: 21).
Default multiples: 0.30, 0.60, 0.90; optional: 1.236, 2.00.
Toggle for preview mode (using current close vs. locked prior session close).
Customizable line style, width, colors, and label placement.
Visibility filter to show only on chart TF ≤ 60 minutes.
Session statistics table with counts and percentages of level interactions.
Use Cases
Identify intraday expansion targets or stop placement zones based on volatility.
Evaluate historical tendencies of price respecting or breaking ATR bands.
Support volatility-adjusted trade planning with statistical validation.
Acknowledgment
This script was developed on top of the Previous OHLC indicator by Nephew_Sam_ , with major modifications to implement ATR-driven levels, extended statistics, and customizable table output.
Notes
This indicator does not generate buy/sell signals.
Best applied to intraday charts anchored to a higher-timeframe ATR.
Keep charts clean and avoid non-standard bar types when publishing.
Adaptive Open InterestThis indicator analyzes Bitcoin open interest to identify overbought and oversold conditions that historically precede major price moves. Unlike static levels, it automatically adapts to current market conditions by analyzing the last 320 bars (user adjustable).
How It Works
Adaptive Algorithm:
-Analyzes the last 320 bars of open interest data
-Combines percentile analysis (90th, 80th, 20th, 10th percentiles) with statistical analysis (standard deviations)
-Creates dynamic zones that adjust as market conditions change
Four Key Zones:
🔴 Extreme Overbought (Red) - Major crash risk territory
🟠 Overbought (Orange) - Correction risk territory
🔵 Oversold (Blue) - Opportunity territory
🟢 Extreme Oversold (Green) - Major opportunity territory
For Risk Management:
-When OI enters red zones → Consider reducing long positions, major crash risk
-When OI enters orange zones → Caution, correction likely incoming
For Opportunities:
-When OI enters blue zones → Look for long opportunities
-When OI enters green zones → Strong buying opportunity, major bounce potential
The Table Shows:
-Current status (which zone OI is in)
-Range position (where current OI sits as % of 320-bar range)
-320-bar high/low levels for context
Why It's Effective:
-Adaptive Nature: What's "high" OI in a bear market differs from bull market - the indicator knows the difference and adjusts automatically.
-Proven Approach: Combines multiple statistical methods for robust signals that work across different market cycles.
-Alert System: Optional alerts notify you when OI crosses critical thresholds, so you don't miss important signals.
-The indicator essentially tells you when the futures market is getting "too crowded" (danger) or "too empty" (opportunity) relative to recent history.
BTC Sigma CloudOverview
The BTC Sigma Cloud indicator calculates and displays 1, 2, and 3 sigma price movements for Bitcoin (BTC) on a rolling basis, visualized as a cloud. It shows historical volatility bands and projects them forward for the next 7 days.
Settings:
Vol Lookback: Default is 20 periods. Adjust to change the volatility calculation window.
Interpretation:
Cloud Bands: The cloud consists of three shaded layers representing 1σ, 2σ, and 3σ moves above and below the current price.
1σ (Innermost): 68% probability of price staying within this range.
2σ (Middle): 95% probability.
3σ (Outermost): 99.7% probability.
Historical View: The cloud tracks past price movements based on volatility.
Projection: The cloud extends 7 days forward, indicating potential price ranges based on current volatility.
Labels: Subtle labels (1σ, -1σ, 2σ, -2σ, 3σ, -3σ) mark the upper and lower bounds of each sigma level on the latest bar for clarity.
Trading Use:
Use the cloud to gauge potential support/resistance zones.
Monitor price behavior near sigma levels for breakout or reversal signals.
The projected cloud helps anticipate future price ranges for planning trades.
Notes
Best used on daily charts for Bitcoin.
Adjust the lookback period to suit shorter or longer-term analysis.
Combine with other indicators for confirmation.
TWAP OscillatorTWAP Oscillator (TOSC)
A powerful mean reversion oscillator that measures price deviation from Time-Weighted Average Price (TWAP) in standard deviations, automatically adapting to your chart timeframe.
How It Works:
The TWAP Oscillator calculates the distance between current price and TWAP, expressed in standard deviations. Unlike VWAP which weights by volume, TWAP gives equal weight to each time period, making it ideal for:
• Mean Reversion Trading - Identifies when price is statistically overextended from its time-weighted average
• Trend Strength Analysis - Shows how far price has deviated from the TWAP baseline
• Entry/Exit Timing - Provides objective levels for trade entries and exits
Automatic Timeframe Adaptation:
The indicator intelligently selects the appropriate TWAP period based on your chart timeframe:
1m Charts → 1D TWAP (intraday mean reversion)
3m-5m Charts → 7D TWAP (weekly perspective)
15m-1h Charts → 30D TWAP (monthly context)
4h-8h Charts → 90D TWAP (quarterly view)
Daily Charts → 365D TWAP (yearly reference)
Trading Days vs Calendar Days:
Toggle between trading days (5D, 22D, 66D, 252D) or calendar days (7D, 30D, 90D, 365D) to match your analysis style.
Divergence Analysis - High Probability Reversals:
The most powerful signals occur when price and oscillator diverge at extreme levels:
Bullish Divergence (Oversold):
• Price makes lower lows
• Oscillator makes higher lows
• Both at oversold levels (-2 or lower)
• Strong buy signal - price weakness not confirmed by TWAP
Bearish Divergence (Overbought):
• Price makes higher highs
• Oscillator makes lower highs
• Both at overbought levels (+2 or higher)
• Strong sell signal - price strength not confirmed by TWAP
Hidden Bullish Divergence:
• Price makes higher lows
• Oscillator makes lower lows
• At oversold levels
• Trend continuation signal - pullback in uptrend
Hidden Bearish Divergence:
• Price makes lower highs
• Oscillator makes higher highs
• At overbought levels
• Trend continuation signal - rally in downtrend
Divergence Confluence Zones:
Maximum Confluence Setup:
• Divergence at extreme levels (±2+ std dev)
• Multiple timeframe confirmation
• Key support/resistance levels
• Volume confirmation
• Highest probability reversal
Divergence Trading Rules:
• Wait for clear divergence formation
• Confirm at extreme oscillator levels
• Enter on divergence confirmation
• Stop loss beyond recent swing
• Target return to zero line or opposite extreme
Key Features:
• Zero Line - Neutral position where price equals TWAP
• Overbought/Oversold Levels - Default ±2 standard deviations (customizable)
• Smoothing - SMA filter to reduce noise
• Info Table - Shows current values and timeframe mapping
• Alerts - Zero line crosses and overbought/oversold conditions
Trading Applications:
Mean Reversion Strategy:
• Enter long when oscillator crosses above oversold level (-2)
• Enter short when oscillator crosses below overbought level (+2)
• Exit when returning to zero line
Trend Following:
• Stay long while oscillator remains above zero
• Stay short while oscillator remains below zero
• Use extreme readings as potential reversal signals
Risk Management:
• Use overbought/oversold levels as stop-loss references
• Scale position size based on oscillator magnitude
• Combine with other indicators for confirmation
Mathematical Foundation:
Oscillator = (Current Price - TWAP) / Standard Deviation
Where:
• TWAP = Time-weighted average price over selected period
• Standard Deviation = Statistical measure of price dispersion
• Result = Number of standard deviations from mean
Best Practices:
• Use on higher timeframes for trend analysis
• Use on lower timeframes for entry timing
• Combine with volume analysis for confirmation
• Adjust overbought/oversold levels based on market volatility
• Consider market structure and support/resistance levels
Perfect For:
• Scalping - 1m charts with 1D TWAP
• Day Trading - 5m-15m charts with 7D TWAP
• Swing Trading - 1h-4h charts with 30D TWAP
• Position Trading - Daily charts with 365D TWAP
Carrera GTTheSouline x Carrera GT
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