📊 Stoch RSI + KDJ Filtered Oscillator (Clean Panel)ChatGPT said:
The Stoch RSI + KDJ Filtered Oscillator is a momentum-based indicator that combines the strengths of Stochastic RSI and KDJ to deliver clean, high-probability trading signals. It filters out weak or choppy movements by requiring alignment and strength between the %K, %D, and %J lines, highlighting only strong bullish or bearish momentum with customizable sensitivity. Designed to appear in a separate panel, this tool is ideal for traders seeking reliable reversal or continuation setups while minimizing false signals in volatile markets.
Penunjuk dan strategi
4H Box+ m15 Separadorindicates 15-minute time frames in vertical lines and 4-hour time frames in boxes for candle analysis on shorter time frames.
EdgeXplorer - Gaussian Forecast GridEdgeXplorer – Gaussian Forecast Grid
The Gaussian Forecast Grid is a forward-looking market modeling tool that uses a Gaussian Process Regression framework to estimate future price behavior. Built around a non-parametric machine learning approach, it maps recent historical price data to generate smoothed forecasts, offering an evolving yet mathematically grounded projection of where price could be headed.
This is not a “signal generator”—it’s a probabilistic estimation tool that overlays a fitted baseline with a future-facing forecast curve, giving traders visual guidance on short-term trend expectations while accounting for noise and variance in price behavior.
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🔍 What Does the Gaussian Forecast Grid Do?
Gaussian Forecast Grid takes a fixed historical training sample of price data and fits it using a Gaussian kernel, generating two key visual elements:
• Fit Line — a smoothed, mathematically reconstructed version of the past data window
• Forecast Line — a forward-projected estimation of price behavior based on the shape and curvature of the past data
Traders can adjust how sensitive the model is to local volatility, how smooth the prediction curve is, and how frequently the forecast updates.
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⚙️ How It Works – Technical Logic Explained
1. Kernel Regression Foundation
The tool applies a Gaussian kernel function that evaluates similarity between time steps in a defined window. This results in a covariance matrix that models how likely different values are to move together.
kernel(x1, x2) = exp( - (x1 - x2)² / (2 * scale²) )
• X-axis: Time steps
• Y-axis: Price deviations from baseline
• Scale: Smoothing factor (determines how tight or loose the fit is)
2. Training Phase
A fixed number of bars (Data Sample Length) are selected as the training window, from which the tool:
• Computes a baseline average (via SMA)
• Normalizes price deviations
• Builds a covariance matrix for training (with optional noise)
• Inverts the matrix to solve for weights
3. Forecast Generation
With the model trained:
• Future time steps (Projection Steps) are mapped
• The kernel is applied between past and future points
• A projected set of values is generated based on how past structure likely evolves
4. Model Refresh Options
Users can control when the model retrains:
• Lock Forecast: Generates forecast once and holds it
• Update Once Reached: Recomputes after reaching the end of the forecast window
• Continuously Update: Recalculates forecast on every new bar
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📈 What Each Visual Element Represents
Visual Component Meaning
Blue Line (Fit) A smoothed curve fitted to historical price behavior
Red Line (Forecast) Projected price path based on Gaussian inference
Baseline The mean price used to normalize the data
Polyline Split Left = historical fit, Right = projected future
These lines are dynamically drawn and cleared based on model refresh mode, ensuring only relevant and current data is displayed.
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📊 Inputs & Settings Explained
Training Inputs
Setting Description
Data Sample Length How many bars are used to fit the model (higher = smoother, slower)
Fit Color Color for the historical fit curve
Forecast Controls
Setting Description
Projection Steps Number of future bars to forecast
Prediction Color Color of the projected forecast line
Model Behavior
Setting Description
Smoothing Factor Controls the “tightness” of the curve; lower values = more reactive
Noise Scale Adds Gaussian noise to prevent overfitting; useful in high-volatility assets
Model Behavior (Refresh Mode)
• Lock Forecast = static output
• Update Once Reached = refresh after forecast ends
• Continuously Update = live update every bar
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🧠 How to Interpret It in Real Markets
This indicator does not tell you where price is going. Instead, it provides a smoothed probabilistic path based on the recent shape of price movement.
Use Cases:
• 🧭 Price Projection Framing: Align other tools (like OBs, liquidity zones, or support/resistance) within the estimated trajectory
• 🔄 Reversion vs. Continuation: Compare current price position relative to the forecast path to judge whether the market is returning to structure or breaking from it
• 📐 Bias Context: Use forecast slope direction to determine short-term directional bias
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🧪 Strategy Integration Tips
• Pair with a volatility filter to use only when price is ranging or compressing
• Overlay with SMC tools like OB, FVG, or BOS indicators for confirmation
• Use as a visual narrative tool to avoid chasing price blindly during uncertain phases
Previous Day LevelsPrevious Day Levels (PDH, PDL, PDC)
This indicator automatically plots the key price levels from the previous trading day onto your chart: the High (PDH), Low (PDL), Close (PDC), and the Midpoint.
These levels are essential for day traders who use them to identify potential areas of support and resistance, gauge market sentiment, and pinpoint key breakout or breakdown zones.
Key Features:
Smart Drawing: Lines for past days are neatly contained within their daily session, while the current day's lines extend in real-time for live analysis.
Four Key Levels: Plots the Previous Day High, Low, Close, and Midpoint.
Full Customization: Easily toggle the visibility of each line and customize its color, style (solid, dotted, dashed), and width to match your personal chart theme.
This is a clean, lightweight, and fully adjustable tool for adding a classic day trading strategy to your analysis.
Friedrich IndicatorThis indicator visualizes trend zones using two Exponential Moving Averages (EMAs) with user-defined lengths (default 32 and 58). It identifies bullish and bearish trends based on the relationship between the shorter and longer EMA and confirms these trends only after they persist for a specified number of bars (confirmBars).
Bullish zone (green): When the shorter EMA remains above the longer EMA for at least the confirmation number of bars, both EMAs and the area between them are colored green, indicating a confirmed upward trend.
Bearish zone (red): When the shorter EMA stays below the longer EMA for at least the confirmation bars, EMAs and the filled zone turn red, signaling a confirmed downward trend.
Neutral zone (white): Before the trend confirmation, the EMAs and the area between are colored white with transparency, representing an unconfirmed or neutral state.
The area between the two EMAs is filled with the respective color, providing an intuitive visual cue of market momentum and trend strength directly on the price chart.
MP AMS (100 bars)Indicator Name: ICT Nested Pivots: Advanced Structure with Color Control
Description:
This indicator identifies and labels nested pivot points across three levels of market structure:
Short-Term Pivots (STH/STL)
Intermediate-Term Pivots (ITH/ITL)
Long-Term Pivots (LTH/LTL)
It detects local highs and lows using a user-defined lookback period and categorizes them into short, intermediate, and long-term pivots based on their relative strength compared to surrounding pivots.
Key Features:
Multi-level pivot detection: Nested identification of short, intermediate, and long-term highs and lows.
Customizable display: Toggle visibility of each pivot level independently for both highs and lows.
Color control: Customize colors for high and low pivot labels and text for enhanced chart readability.
Clear labeling: Each pivot is marked with intuitive labels ("STH", "ITH", "LTH" for highs and "STL", "ITL", "LTL" for lows) placed above or below bars accordingly.
Safe plotting: Avoids errors by validating data and only plotting labels within the lookback range.
This tool helps traders visually analyze market structure and identify key turning points at different time scales directly on their price charts.
Daily MAs IntradayThis script overlays up to 6 customizable daily moving averages on any intraday chart. It’s designed for traders who want to see higher-timeframe trend levels while operating on lower timeframes (e.g., 5m, 15m, 1h).
Each line is calculated from daily candle data and projected forward into your intraday chart. This makes it ideal for intraday traders who rely on daily MA levels for trend confirmation, support/resistance, or bounce setups.
PulsePoint SqueezePulsePoint Squeeze™ is a dynamic momentum compression and divergence detection system built to help traders identify high-pressure zones before breakout moves. Combining RSI-based thresholds, price compression zones, and divergence cues, it offers high-clarity insights with minimal noise — ideal for intraday precision and swing positioning.
EMA Pullback + Smart Breakout SystemSaint James
Your script filters for:
Strong trend (EMA stack)
Healthy dip (pullback to 21 EMA)
Breakout candle
Strong volume confirmation
And labels it clearly so you can act on it quickly for option trades.
Cobra Hedge Dashboard – V1.0 Final Master🧠 Cobra Hedge Dashboard – V1.0 Final Master
V1.0 | Smart Risk Filter for Open Hedge Positions
📝 (Description):
Cobra Hedge Dashboard is built specifically for traders managing open hedge positions. It provides a real-time view of directional pressure, smart zones, and price behavior to help make informed decisions such as:
When to partially close hedge orders
When to reverse positions based on flow & exhaustion
Which side (Buy or Sell) currently has momentum
Detecting price reaching critical zones (Supply/Demand)
Measuring volume strength to avoid fake exits
🔍 Ideal for traders already in the market — this dashboard is not an entry signal system, but a tool to manage hedge exits and exposure.
Built-in calculations include:
VWAP and EMA cross-pressure
Directional flow meter
Auto Supply & Demand Zones
Volume spikes and breakout strength
Best used on 1m–15m charts.
Open-source for transparency and improvement.
ATR > VXN Alert (5m)ATR > VXN Volatility Divergence Indicator
This custom TradingView indicator monitors real-time volatility divergence between realized volatility (via Average True Range, ATR) and implied volatility (via the CBOE NASDAQ Volatility Index, VXN). It is inspired by the GJR-GARCH (Glosten-Jagannathan-Runkle Generalized Autoregressive Conditional Heteroskedasticity) model, which captures asymmetric volatility dynamics—particularly how markets respond more sharply to negative shocks than to positive ones.
Core Logic:
Chart on NQ (5 minute timeframe)
ATR (5-min) reflects realized intraday volatility of the Nasdaq 100 futures (NQ).
VXN (5-min, delayed) represents forward-looking implied volatility.
The indicator highlights regime shifts in volatility:
ATR < VXN: Volatility compression → potential energy building up (market coiling).
ATR > VXN: Volatility expansion → real movement exceeds expectations → potential breakout zone.
Visuals & Alerts:
Background turns green when ATR crosses above VXN, signaling a bullish expansion regime.
Background turns red when ATR drops below VXN, signaling compression or risk-off environment.
Custom alerts trigger on volatility regime shifts for breakout traders.
Application (Manual GJR-GARCH Strategy):
Similar to how the GJR-GARCH model captures volatility clustering and asymmetry, this indicator identifies when actual price volatility (ATR) begins to spike beyond implied forecasts (VXN), often after periods of contraction—mirroring a conditional variance shock in the GARCH framework.
Traders can align with directional bias using technical confluence (order flow, structure breaks, liquidity zones) once expansion is confirmed.
Trendline Breakouts With Targets [ Chartprime ]The Trendline Breakouts With Targets indicator is meticulously crafted to improve trading decision-making by pinpointing trendline breakouts and breakdowns through pivot point analysis.
Here's a comprehensive look at its primary functionalities:
Upon the occurrence of a breakout or breakdown, a signal is meticulously assessed against a false signal condition/filter, after which the indicator promptly generates a trading signal. Additionally, it conducts precise calculations to determine potential target levels and then exhibits them graphically on the price chart.
Momentum Buy/Sell IndicatorMomentum indicator that needs to be followed and not relied upon completely
moh1//@version=6
indicator("moh1", overlay=true)
// === الإعدادات ===
length = input.int(20, title="عدد الشموع (حساسية الاتجاه)")
src = input.source(close, title="مصدر السعر")
maType = input.string("EMA", title="نوع المتوسط", options= )
// الألوان
colorUp = input.color(color.green, title="لون الاتجاه الصاعد")
colorDown = input.color(color.red, title="لون الاتجاه الهابط")
colorSide = input.color(color.yellow, title="لون الاتجاه العرضي")
sensitivity = input.float(0.1, title="حساسية الاتجاه العرضي (%)", minval=0.01)
// === حساب المتوسط ===
ma = maType == "EMA" ? ta.ema(src, length) : ta.sma(src, length)
// === تحليل الاتجاه ===
ma_slope = ma - ma
slope_pct = ma_slope / ma * 100
trendColor = slope_pct > sensitivity ? colorUp :
slope_pct < -sensitivity ? colorDown :
colorSide
// === رسم الخط المتغير اللون ===
plot(ma, title="خط الاتجاه", color=trendColor, linewidth=2)
Dex Stoch RSI + WaveTrend Dots [Enhanced]Wave indicator with RSI and dots signaling. dots signals when its over bought or over sold but it also follows the rsi trend when bullish or bearish momentum is coming.
7 EMA CloudAdvanced 7 EMA Cloud – Adaptive Trend & Signal Suite
This script overlays 7 exponential moving averages (EMAs) and dynamically fills the space between them with visual “clouds” that help you quickly assess trend strength, direction, and momentum alignment.
🔧 Features:
7 Customizable EMAs – Standard periods (8, 13, 21, 34, 55, 89, 144) with individual color-coded lines
EMA Cloud Fills – Gradient clouds show convergence/divergence between EMAs
Color Modes – Classic (rainbow), Monochrome (grayscale), and Heatmap (trend strength)
Crossover Signals – Alerts and visual markers for EMA1 crossing EMA7
Custom Signal Sizes – Choose from 5 shape sizes for crossover events
Optional Cloud Transparency – Adjustable for clean or bold visuals
That Awesome StrategyThis is of course a work in progress. I really would like feedback.
I designed this specifically for the S&P 500, specifically ES1!, and have not tested on any other charts. I am not responsible for any losses you may incur by using this strategy.
This strategy is based in parts on MACD calculations, the momentum indicator i created, and a pair of dual offset identical moving averages, along with other tweaks.
It has a SL/TP function based on ticks.
It has several options for moving average types for the main moving averages, the MACD moving averages, and the momentum indicator moving average. Many combinations.
Since I am using a CME futures product for trading, this strategy automatically closes all trades at 2pm and disallows any trading until 4pm. I will update this with an adjustable time slot for this market closure time soon so that it will fit your timezone.
Pine Script version 6.
Gabriel's Quick Table📊 Gabriel's Quick Table — Multi-Metric Market Scanner
Gabriel's Quick Table is a lightweight, customizable table overlay that displays key market metrics for intraday, swing, and options traders. It centralizes high-impact price, volume, and volatility data across multiple timeframes to quickly assess trade readiness, risk levels, and momentum without cluttering your chart.
🔍 Features
✅ ADR% (Average Daily Range %)
Measures price volatility by averaging the ratio of high/low over N days.
Helps spot compression/expansion setups.
✅ ATR (Average True Range)
Assists with stop-loss placement and measuring volatility strength.
User-defined ATR Length and timeframe.
✅ LoD Distance (% from Low of Day)
Identifies how far price has bounced off the intraday low.
Useful for reversal traders and support tests.
✅ % from 52-Week High
Calculates how far current price is from its long-term swing high.
Ideal for value reversion setups or breakout scanning.
✅ Relative Volume (RVOL)
Measures current volume versus average over N bars.
Highlights unusual activity or breakout potential.
✅ VWAP Distance
Shows how far price is from the volume-weighted average price.
Used by institutions and intraday traders to define fair value zones.
✅ Internal Bar Strength (IBS)
Normalized indicator showing whether price closed near the high or low of the candle.
Useful for fade vs. breakout setups.
✅ Open Interest % Change
Measures short-term change in OI, used in futures/options analysis.
Spikes may indicate buildup of positions or unwinding.
🚨 Built-In Alerts
Each core metric includes a customizable alert:
ADR%, ATR, RVOL, VWAP distance
Distance to 52-week high
OI % change
IBS thresholds
Use these to automate watchlist scanning or intraday alerts when your ideal trade conditions appear.
🧠 Smart Design
Multi-timeframe support for each input (e.g. Weekly 52W High + Intraday VWAP).
Minimalist table overlay that works even when multiple indicators are stacked.
Color-coded labels and values for intuitive scanning.
💡 Use Cases
Intraday traders looking for high-RVOL + VWAP bounce setups.
Swing traders waiting for price compression (low ADR%) or breakouts near 52W highs.
Futures and options traders tracking OI surges with volume confirmation.
Systematic traders using custom alert levels for automated signal generation.
GARCH Volatility [Trading Signals]This is a GARCH-like indicator rather than a full academic GARCH model
Current Strengths:
Current Strengths:
Captures core volatility clustering (alpha + beta)
Provides actionable signals
Lightweight for TradingView
When to Use This vs True GARCH:
Use This For: Real-time trading signals, visual market analysis
Use Full GARCH For: Risk modeling, quantitative research
Bull Momentum GaugeBull Momentum Gauge
The Bull Momentum Gauge is a powerful momentum oscillator designed to identify the underlying strength and sustainability of major market trends. Instead of trying to predict tops and bottoms, this indicator helps traders and investors ride long-term bull markets by signaling when momentum is building and when it is starting to fade.
What it Does
At its core, this tool measures how statistically "stretched" or "compressed" an asset's price is relative to its long-term (1-year) trend. It does this by:
Calculating the price's deviation from its 365-day moving average.
Normalizing this deviation into a Z-score to measure its statistical significance.
Comparing the inverted Z-score to its own 200-day moving average to gauge the momentum of the trend itself.
The result is a single, smooth line that oscillates around a zero value.
How to Use It
The signals are simple and based on the indicator's relationship to the zero line:
Green Line (Gauge below 0): This indicates that the price has been compressed relative to its long-term trend and is now showing signs of building upward momentum. A cross into the green zone can be interpreted as a potential entry signal for a new bull run.
Red Line (Gauge above 0): This suggests that the price has become over-extended or "stretched" and the upward momentum is beginning to weaken. A cross into the red zone can be used as a potential exit signal, indicating it may be time to take profits and wait for the next cycle.
This indicator is designed to work across multiple timeframes (Daily, Weekly, Monthly) and provides a clear, data-driven framework for navigating major market cycles.
