Smart Money Concepts with EMA + RSI - DrSafDescription
This indicator combines LuxAlgo’s Smart Money Concepts (SMC) framework with a trend and momentum confluence system.
Core Features:
Swing & internal BOS / CHoCH
Order blocks, fair value gaps, equal highs/lows
Premium & discount zones
Multi-timeframe high/low levels
Added Filters:
EMA 21 / 50 / 200 trend alignment
Optional RSI 50 momentum filter
Clear long/short signals based on:
Swing CHoCH
Higher-timeframe trend alignment
Momentum confirmation
Signal Logic
Long: Bullish CHoCH + EMA bullish structure + RSI confirmation
Short: Bearish CHoCH + EMA bearish structure + RSI confirmation
Designed for non-repainting execution, clean chart structure or systematic trading.
Indicator plots EMA 21, EMA 50, and EMA 200 to define trend structure and dynamic support/resistance.
EMA 200: overall trend bias
EMA 21 and EMA 50: pullback support for high probability trend entries.
EMA 21/50 crosses highlight momentum shifts but are not intended as standalone entry signals.
License
Based on LuxAlgo Smart Money Concepts
CC BY-NC-SA 4.0 (Non-Commercial)
Médias Móveis
IDAHL | QuantEdgeBIDAHL | QuantEdgeB
🔍 Overview
The IDAHL indicator builds adaptive, volatility-aware threshold bands from two separate ALMA lines—one smoothed from recent highs, the other from recent lows—then uses percentiles of those lines to define a dynamic “high/low” channel. Price crossing above or below that channel triggers clear long/short signals, with on-chart candle coloring, fills, optional labels and even a built-in backtest table.
✨ Key Features
• 📈 Dual ALMA Bands (with DEMA pre-smoothing)
o High ALMA: ALMA applied to DEMA-smoothed highs (high → DEMA(30) → ALMA).
o Low ALMA: ALMA applied to DEMA-smoothed lows (low → DEMA(30) → ALMA).
• 📊 Percentile Thresholds
o Computes a high threshold at the Xth percentile of the High ALMA over a lookback window.
o Computes a low threshold at the Yth percentile of the Low ALMA.
o Shifts each threshold forward by a small period to reduce repainting.
• ⚡ Dynamic Channel Logic
o When price closes above the high percentile line, the “final” threshold flips down to the low percentile line (and vice versa), creating an adaptive channel that only moves when the outer bound is violated.
o Inside the channel, the threshold holds its last value to avoid whipsaw.
• 🎨 Visual & Alerts
o Plots the two percentile lines and fills between them with a color that reflects the current regime (green for long, yellow for neutral, orange for short).
o Colors your candles to match the active signal.
o Optional “Long”/“Short” labels on confirmed flips.
o Alert conditions fire on each long/short crossover.
• 📊 On-Chart Backtest Metrics
o Toggle on a small performance table—complete with win-rate, net P/L, drawdown—from your chosen start date, without any extra code.
⚙️ How It Works
1. Adaptive Smoothing (ALMA)
o Uses ALMA (Arnaud Legoux Moving Average) for smooth, low-lag filtering. In this script, the inputs are additionally pre-smoothed with DEMA(30) to reduce noise before ALMA is applied—improving stability on highs/lows.
2. Percentile Lines
o The High ALMA series feeds a linear-interpolation percentile function to generate the upper bound; the Low ALMA produces the lower bound.
o These lines are offset by a small look-ahead (X bars) to reduce repaint behavior.
3. Channel Logic
o Breakout Flip: When the selected source (default: Close) closes above the upper bound, the active threshold “jumps” to the lower bound—locking in a new channel until price next crosses.
o Breakdown Flip: Conversely, a close below the lower bound flips the threshold to the upper bound.
4. Signal Generation
o Long while the source is above the current “final” threshold.
o Short while below.
o Neutral inside the channel before any flip.
5. Visualization & Alerts
o Dynamic fills between the two percentile lines change hue as the regime flips.
o Candles adopt the regime color.
o Optional pinned “Long”/“Short” labels at flip bars.
o Alerts on every signal crossover of the zero-based regime line.
6. Backtest Table
o From your chosen start date, a mini-table displays cumulative P/L, win rate and drawdown for this strategy—handy for quick in-chart validation.
🎯 Who Should Use It
• Breakout Traders hunting for adaptive channels that auto-recenter on new highs/lows.
• Volatility Traders who want thresholds that expand and contract with market turbulence.
• Trend-Chasers seeking a fresh take on high/low channels with built-in smoothing.
• Systematic Analysts who appreciate on-chart backtesting without leaving TradingView.
⚙️ Default Settings
• ALMA Length: 14
• Percentile Length: 35 bars
• Percentile Lookback Period (offset): 4 bars
• Upper Percentile: 92%
• Lower Percentile: 50%
• Threshold Source: Close
• Visuals: Candle coloring on, labels off by default, “Strategy” palette
• Backtest Table: on by default (toggleable)
• Start Date (Backtest): 09 Oct 2017
📌 Conclusion
IDAHL blends two smooth, low-lag ALMA filters (fed by DEMA-smoothed highs/lows) with percentile-based channel construction for a self-rewiring high/low envelope. It gives you robust breakout/breakdown signals, immediate visual context via colored fills and candles, optional labels, alerts, and even performance stats—everything you need to spot and confirm regime shifts in one compact script.
🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB
🔍 Overview
TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table.
✨ Key Features
1. 🧠 Twin-Smooth Baseline (Dual Engine Blend)
- Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg).
- Blends them into a single midpoint baseline for balanced stability + speed.
- Applies an extra EMA smoothing pass to produce a clean trend_base.
2. 📏 ATR Volatility Bands
- Builds upper/lower bands using ATR × multiplier around the trend_base.
- Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks.
3. ⚡ Clear Breakout Regime Logic
- Long when close > upperBand.
- Short when close < lowerBand.
- Neutral otherwise (no forced signals inside the band zone).
4. 🎨 Visual Clarity
- Plots only the active band (lower band in long regime, upper band in short regime).
- Fills between active band and price for instant regime context.
- Colors candles to match the current state (bullish / bearish / neutral).
- Multiple color palettes + transparency control.
💼 Use Cases
• Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators.
• Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions.
• Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels.
• Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes.
🎯 For Who
• Trend Traders who want clean regime shifts without constant whipsaw.
• Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers.
• System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies.
• Analysts who want quick on-chart validation with a backtest table.
⚙️ Default Settings
• SMMA Length (Base Smooth Leg): 24
• TEMA Length (Base Responsive Leg): 8
• EMA Extra Smoothing: 14
• ATR Length: 14
• ATR Multiplier: 1.1
• Color Mode: Alpha
• Color Transparency: 30
• Backtest Table: On (toggleable)
• Backtest Start Date: 09 Oct 2017
• Labels: Off by default
📌 Conclusion
TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence
Overview
Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing.
Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance.
This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present.
Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels.
Conceptual Framework
Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone.
Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes.
Three core principles guide the design:
Stop distance should adjust in proportion to market efficiency.
Smoothing behavior must respond to regime changes.
Trailing logic benefits from probabilistic context instead of fixed rules.
This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries.
Theoretical Foundation
The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis.
Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate.
Three internal systems operate in tandem:
KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior.
Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments.
KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides.
This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes.
How It Works
Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes:
Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity.
Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls.
Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning.
Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive.
Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure.
Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop.
Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering.
Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism.
Interpretation
Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope:
Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves.
Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility.
Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes.
Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal.
Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise.
Distance, efficiency, and context outweigh isolated price interactions.
Signal Logic & Visual Cues
Adaptive ML Trailing Stop presents two primary visual signals:
Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one.
Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals.
Alert generation is limited to confirmed trend transitions to maintain clarity.
Strategy Integration
Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches:
Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits.
Directional Alignment : Base execution on confirmed regime state rather than speculative reversals.
Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends.
Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure.
Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness.
Technical Implementation Details
Core Engine : KAMA-based efficiency measurement with adaptive smoothing
Volatility Model : ATR-derived stop distance scaled by regime
Machine Learning Layer : Distance-weighted KNN with confidence modulation
Visualization : Directional trailing stops with layered gradient fills
Signal Logic : Regime-based transitions and controlled interaction markers
Performance Profile : Optimized for real-time chart execution
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Tight adaptive trailing for short-term momentum control
15 - 60 min : Structured intraday trend supervision
4H - Daily : Higher-timeframe regime monitoring
Suggested Baseline Configuration:
KAMA Length : 20
Fast/Slow Periods : 15 / 50
ATR Period : 21
Base ATR Multiplier : 2.5
Adaptive Strength : 1.0
KNN Neighbors : 7
KNN Influence : 0.2
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering.
Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries.
Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement.
Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change.
Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions.
Performance Characteristics
High Effectiveness:
Markets exhibiting sustained directional efficiency
Instruments with recurring structural behavior
Trend-oriented, risk-managed strategies
Reduced Effectiveness:
Highly erratic or event-driven price action
Illiquid markets with unreliable volatility readings
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend indicators
Discipline : Follow adaptive stop behavior rather than forcing exits
Risk Framing : Treat stops as adaptive boundaries, not forecasts
Regime Awareness : Always interpret stop behavior within efficiency context
Disclaimer
Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
S&D Trend Pullback StrategyThis is simple indicator for myself to alert me when in trend pullback and entry.
Use in M5 chart.
SL put 30-50pips
TP can set 30-90pips
rosh Swift ALGO-X based on ema for xauusd scalping use with original settings, assured 100 pips per day
Enhanced Trend & ML ScreenerThe Enhanced Trend & EMA Screener is a multi-symbol dashboard that aggregates trend, momentum, and structure signals across up to 8 user-defined assets.
Why this script is unique (The Problem & Solution): Traders often struggle to monitor multiple assets for confluence without cluttering their workspace with 8 different charts. Single-metric screeners (like simple EMA crosses) generate too much noise. This script solves this by fusing 5 distinct analytical engines into a single "Confluence Score" for each ticker, allowing you to monitor your entire watchlist from one chart.
How the Confluence Engine Works: Each ticker is analyzed in real-time against five criteria:
EMA Kinetics: Checks for crossovers on 10, 21, 50, and 89-period EMAs.
Ichimoku Structure: Checks if price is above (Bullish) or below (Bearish) the Cloud to ensure trades align with equilibrium.
ADX Strength: Filters out weak trends by comparing +DI and -DI.
ATR Regimes: Analyzes volatility expansion vs contraction. Bullish signals are stronger during volatility expansion.
Linear Regression Slope: Uses the slope of the regression line as a proxy for "predicted persistence."
Dashboard Features:
Symbol Row: Customizable inputs for up to 8 tickers (Default: SPY, QQQ, and Tech Giants).
Sentiment Matrix: Color-coded cells (Green/Red/Gray) for instant trend recognition.
Debug Table: An optional secondary table that shows the raw math (Price vs EMA values) for transparency.
MTF Overlay: Includes a Weekly trend check to ensure Daily signals align with the higher timeframe.
How to Use:
Setup: Add the script to your chart (e.g., SPY Daily).
Customize: Go to settings and input your preferred 8 tickers.
Scan: Look for "Full Green" rows. If a ticker is Bullish on EMA, Ichimoku, and ADX, it is a high-probability setup.
Alerts: The script generates alerts when any of your watched tickers trigger a key EMA crossover.
Disclaimer: The screener uses request.security to fetch data. While lookahead is disabled to prevent repainting, slight data lag may occur depending on the liquidity of the tickers selected.
Trade Secrets by Pratik - Dual Intraday StrategyThe "Trade Secrets by Pratik" strategy is a high-momentum, dual-direction trading system designed to capture explosive moves after brief market pullbacks. It relies on a rigorous combination of trend-following moving averages and a strength filter.
1. Core Concept
The strategy identifies "Clean Pullbacks"—brief pauses in a strong trend where the price stays strictly away from the short-term average (10 EMA). This indicates extreme momentum, as buyers (in an uptrend) or sellers (in a downtrend) are too aggressive to allow a deeper correction.
2. Technical Filters
Trend Direction: Price must be above both 10 and 35 EMAs for Buys, and below both for Sells.
Strength Filter (RSI): Requires an RSI > 60 for Longs (to ensure high demand) and RSI < 40 for Shorts (to ensure heavy selling pressure).
3. Trade Execution
The Setup: Look for a "Floating Candle"—a Red candle for Buys or a Green candle for Sells that does not touch the 10 EMA.
The Trigger: A trade is entered only if the very next candle breaks the "Setup Candle's" high (Buy) or low (Sell).
Risk-Reward: Aim for a fixed 1:3 Ratio, ensuring that one winner covers three losing trades.
4. Safety Logic
The system includes a "No-Same-Candle-Exit" rule, preventing the script from triggering a Stop Loss on the same bar as the Entry. This filters out immediate price "whipsaws" and ensures the trade has room to develop.
UVOL Thrust TrackerUVOL Thrust Tracker identifies institutional breadth thrusts using NYSE up-volume as a percentage of total volume (USI:UVOL / USI:TVOL), plotted directly on price.
The indicator highlights:
TRUE 90% UVOL thrusts (rare, high-conviction breadth events)
Surrogate thrust clusters (multi-day 80–89% participation)
Cluster failures (momentum that fails to expand)
Structural thrust failures (2022-style false starts)
A regime filter based on the chart symbol’s moving averages separates bull vs bear environments, dynamically adjusting thresholds and failure logic.
This tool is designed for regime confirmation and risk management, not short-term entries. TRUE thrusts typically confirm trend continuation, while failures warn when breadth support breaks down.
Note: This indicator is intended for regime and risk assessment, not precise entries or exits.
Malama's Universal anchored M.A.Malama's Universal Anchored M.A. (UMA+) is a highly versatile, all-in-one moving average framework that supports over 28 different calculation methods — from classic (SMA, EMA) to advanced adaptive and Ehlers-based filters (KAMA, FRAMA, MAMA/FAMA, Super Smoother, Kalman, etc.). It features an innovative Anchored Mode that resets calculations from a user-defined point (specific date/time, bars back, or the start of data), making it perfect for analyzing price action relative to key market events like earnings, FOMC news, or cycle starts.
The MA dynamically colors based on price position, includes an optional fill for trend visualization, and features a clean on-chart dashboard with crossover alerts.
Key Features
28+ Moving Average Types: Includes SMA, EMA, WMA, TMA, VWMA, HMA, ALMA, VIDYA, DEMA, TEMA, KAMA, ZLEMA, T3, Hull-like, FRAMA, McGinley Dynamic, LSMA, SMMA, Super Smoother, Laguerre Filter, Cyber Cycle, MAMA/FAMA, Reflex, Trend Reflex, Dominant Cycle, Non-Lag MA, and Kalman Filter.
Anchored Calculations: Reset the MA calculation from a specific reference point:
By Date/Time: Analyze trends starting from a specific news event.
Bars Back: Anchor to a specific recent high or low.
First Bar: Anchor to the beginning of the available data.
Visual Anchor Marker: A dashed vertical line with an anchor (⚓) icon clearly marks the reset point.
Dynamic Coloring: The line and fill change color based on whether price is Above (Bullish) or Below (Bearish) the MA.
On-Chart Dashboard: A compact, movable table displaying:
Current MA Type & Length
Real-time Value & Price Position
% Deviation from the MA
Trend Direction (UP/DOWN/FLAT)
Anchor details (if enabled)
Strategy Ideas: Stacking for Crossovers
Create your own custom crossover strategy by adding this indicator to your chart twice! Because UMA+ supports so many calculation methods, you can "stack" two instances to build unique trend-following systems:
Add UMA+ Twice: Apply the script to your chart two times.
Configure the "Fast" MA: On the first instance, select a responsive type (e.g., Hull MA or T3) with a lower length (e.g., 9 or 14).
Configure the "Slow" MA: On the second instance, select a smoother type (e.g., KAMA or Super Smoother) with a higher length (e.g., 50 or 100).
Trade the Cross: Look for the "Fast" MA line crossing the "Slow" MA line to identify potential trend reversals or entry points. This allows you to combine the responsiveness of modern filters with the stability of classic trend lines.
Why This Indicator Stands Out
Unlike standard multi-MA scripts that only switch types, UMA+ combines extreme flexibility with Anchored Analysis. This allows traders to measure trend strength and responsiveness from significant reference points rather than an arbitrary rolling window. It is exceptionally useful for:
Post-Event Analysis: See how price respects an average anchored specifically to an earnings release or Fed announcement.
Cycle Trading: Measure trends from specific cycle lows.
Lag Reduction: Utilize advanced filters like Kalman, T3, or Ehlers series to reduce lag in trending markets while maintaining smoothness.
How to Use
Choose Your MA: Select from the extensive list. Experiment with adaptive types (KAMA, VIDYA) for choppy markets or low-lag types (Hull, ZLEMA) for scalping.
Enable Anchor (Optional): Toggle "Enable Anchor" to fix the start point of the calculation. Use the "Date/Time" method to align with specific market catalysts.
Interpret the Dashboard:
Bullish Momentum: Look for "Price ABOVE," a positive Deviation %, and "Trend UP."
Reversion: Extreme deviation values may indicate price is overextended and due to snap back to the MA.
Disclaimer
This indicator is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always use proper risk management and combine with your own analysis. Trading involves substantial risk of loss.
Next-Gen Market Signal Dashboard Key Features:
Trend Detection: EMA50 and EMA200 highlight bullish and bearish trends with subtle background coloring.
Momentum Indicators: RSI, MACD, and Stochastic Oscillator confirm signal strength and market momentum.
Volatility Filter: ATR ensures signals are only triggered during active market conditions.
Visual Signals: Animated triangles and colored backgrounds for LONG (green) and SHORT (red) signals.
Take Profit / Stop Loss: Automatic, elegant TP and SL lines to guide trades.
Compact Multi-Indicator Panel: Displays RSI, MACD, Stochastic, and ATR with color-coded strength indicators.
Mini-Guide: Integrated panel explanations help quickly interpret signals without confusion.
Alerts: Built-in alerts for all LONG and SHORT signals.
Ichimoku MTF Heatmap W/ adj alert placement W and D cloud ALERTShows green FLAG 50 bars back when Daily and Weekly Cloud metrics are ACTIVE.
WN 5-20-50 SMA Setup (Discrete Lines = SL TP) Multiple Entries Pretty Simple Script as I got this idea from a YouTuber that showed us how to use AI to make TradingView Indicators.
When the 5 day Simple Moving Average Goes Above the 20 day Simple Moving Average it issues a BUY Signal when the Trend itself is over the 50 day Simple Moving Average.
When the 5 day Simple Moving Average Goes Below the 20 day Simple Moving Average it issues a SELL Signal when the Trend itself is under the 50 day Simple Moving Average.
The Green Cloud Represents price over the 50 day Simple Moving Average. BUY signals will only show up in the green cloud.
The Red Cloud Represents price under the 50 day Simple Moving Average. SELL signals will only show up in the green cloud.
The lines represent Stop Loss and two Take Profit Levels. Take Profit 1 is 1.5x the stop loss and Take Profit 2 is 3x the Stop Loss.
This version of the Script has multiple Trend signals for entries so you can scale into a trade when the Trend is being aggressive.
EMA 8/21 & SMA 50/200 - NDAThese are a useful combination of Moving Averages.
I use these on the Daily chart.
There;s not much to add here - happy charting!
PM/PW/PD/OVN/CD Highs & Lows with prices+ EMAsPM/PW/PD/OVN/CD Highs & Lows with prices
+
3 customizable EMAs (def 12/34/55)
Bens Platypus Dual VWAP_Rolling 7D vs Weekly AnchoredBen’s Platypus Dual VWAP: Rolling 7D vs Weekly Anchored (optional σ bands)
Weekly-anchored VWAP resets on Monday (exchange time). That makes sense for assets tied to a traditional weekly “market open,” but BTC trades 24/7 and often doesn’t respect Monday as a real regime boundary—so the Monday reset can create a mechanical jump that looks like signal but is just arithmetic. If you drive entries/exits off that reset, some algos will get spooked into early entries, fake “stretch” readings, or sudden mean shifts that aren’t actually market behaviour.
This indicator fixes that by plotting:
• Rolling 7D VWAP (thick aqua): a continuous trailing VWAP that does not reset on Mondays, giving you a stable mean for reversion logic.
• Weekly Anchored VWAP (thin purple): kept for context, so you can see the reset effect rather than accidentally trade it.
Result: you can visually compare the two means and quantify when “weekly structure” is useful versus when it’s just a calendar artifact on a 24/7 market.
SB A / A++ ALERT ENGINE (Alerts Only)SB A / A++ Alert Engine
Session-Based Level Rejection Strategy (Automation-Ready)
Overview
The SB A / A++ Alert Engine is a rules-based TradingView indicator designed to identify high-probability institutional-style reversal trades using Stacey Burke–inspired concepts such as previous day levels, session structure, opening ranges, and round numbers.
This tool is alerts-only by design, making it ideal for:
TradingView alerts
Webhook automation
Telegram / Discord signal delivery
External trade execution systems
It does not repaint and evaluates signals on confirmed bar close only.
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Core Trading Idea
Price frequently reacts at important reference levels during active trading sessions.
This script looks for rejection + confirmation at those levels and grades setups based on confluence and candle quality.
Only A-grade and A++-grade setups are alerted.
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What the Script Detects
📌 Key Levels (Confluence Engine)
Previous Day High / Low
Initial Balance (Mon–Tue range, active Wed–Fri)
Session Opening Range (first hour of London / NY)
Round Numbers (configurable tick spacing)
Each level touched contributes to confluence — without double-counting the same zone.
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🕒 Session Control
Signals are only allowed during:
London Session
New York Session
Includes:
Session resets
Max alerts per session
Cooldown between signals
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🔎 Candle Confirmation
Valid signals require clear rejection behavior, such as:
Bullish / Bearish Engulfing candle
Strong Pin Bar (wick ≥ 2× body)
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🧠 Trade Grades
A Trade
Valid session
ATR percentile filter passed
≥ 1 level of confluence
Directional rejection
A++ Trade
All A-Trade rules
Strong confirmation candle (engulf or pin)
≥ 2 independent confluence zones
Grades are displayed visually and included in alert payloads.
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📊 Volatility Filter (ATR Percentile)
Instead of fixed ATR thresholds, the script uses an ATR percentile rank, ensuring trades only trigger when volatility is above normal for that market.
This adapts automatically across:
Forex
Indices
Futures
Crypto
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Visual Output
▲ Green / Lime triangles → LONG (A / A++)
▼ Orange / Red triangles → SHORT (A / A++)
Color intensity reflects trade grade
Optional session shading (if enabled)
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Alerts & Automation
All alerts are webhook-ready and structured for automation.
Each alert includes:
Symbol
Timeframe
Direction (LONG / SHORT)
Trade grade (A or A++)
Confluence count
Entry price (close of signal bar)
Designed to integrate with:
Telegram bots
Trade execution bridges
Risk management engines
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What This Script Is (and Is Not)
✅ IS
A high-quality signal engine
Non-repainting
Automation-friendly
Institutional level-based logic
❌ IS NOT
A scalping indicator
A prediction tool
A “trade every candle” system
This tool favors patience, structure, and quality over frequency.
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Recommended Usage
Timeframes: M5 – M15
Best markets: FX majors, indices, liquid crypto
Combine with your own execution, risk, and trade management rules
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⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always test on demo or paper trading before using live capital.
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior.
The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback.
How it works:
VWMA deviation is calculated as the difference between price and the VWMA.
That deviation is divided by ATR (Average True Range) to normalize for current volatility.
The script tracks the highest and lowest normalized deviations over the chosen lookback period.
It also tracks price structure (highest/lowest highs/lows) over the same period.
A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms.
You get visual signals and color highlights where these conditions occur.
Settings explained:
Lookback period defines how many bars the script uses to find recent extremes.
ATR length controls how volatility is measured.
VWMA length controls how the volume-weighted moving average is calculated.
Signal filters help refine entries based on price vs deviation behavior.
Display options let you customize how signals and levels appear on the chart.
This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension.
Tips for use:
Combine with broader trend context (higher timeframe support/resistance).
Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries.
Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
RS Rating Multi-Timeframe v2RS Rating Multi-Timeframe
A relative strength rating indicator modeled after IBD's proprietary RS Rating system. This indicator measures a stock's price performance relative to the S&P 500 (or any benchmark you choose) and converts it to a 1-99 rating scale.
How It Works
The indicator calculates weighted performance ratios across four timeframes:
40% weight: 63-day (3-month) performance
20% weight: 126-day (6-month) performance
20% weight: 189-day (9-month) performance
20% weight: 252-day (12-month) performance
This weighting emphasizes recent performance while still accounting for longer-term strength—the same methodology used by leading growth stock research services.
Rating Scale
90-99: Elite relative strength (top 10% of stocks)
80-89: Strong relative strength (top 20%)
50-79: Average performance
30-49: Below average
1-29: Weak relative strength (bottom 30%)
Features
Customizable benchmark index (default: S&P 500)
Optional moving average overlay (EMA or SMA)
Visual zones with color-coded backgrounds
Signal markers when RS crosses key thresholds (80 and 30)
Info table showing current rating, daily change, MA value, and raw score
Built-in alerts for threshold crossovers
Pine Screener Compatible
This indicator includes state-based plots specifically designed for TradingView's Pine Screener. You can screen watchlists for:
RS Above 90, 80, 70, or 50
RS Below 50 or 30
RS Above/Below its moving average
Custom thresholds using the raw RS Rating value
In the Pine Screener, select the "Screener RS Above 80" output and set it to "True" (or equals 1) to find all stocks currently above 80—not just those crossing on that bar.
Usage Tips
Growth investors typically look for stocks with RS Ratings above 80, indicating the stock is outperforming 80% of the market. Combining high RS Rating with other technical signals (breakouts, volume, moving averages) can help identify leading stocks.
Zippo Traffic v3Zippo Traffic v3
Zippo Traffic v3 is an advanced trend-following system that analyzes price movements to determine market direction. Not only does it generate buy and sell signals, but it also highlights uncertain market periods with yellow bars, signaling when new positions should not be opened.
How It Works
This system operates on a traffic light principle:
🟡 Yellow Bars: Indicate market uncertainty – refrain from opening new positions and exercise caution if you are already in a trade.
🟢 Green Bars: Signal a Long/Buy – indicating an uptrend.
🔴 Red Bars: Signal a Short/Sell – indicating a downtrend.
The Alligator (3 EMA) parameters (JawLen, TeethLen, LipsLen) are the only inputs that users can modify; all other technical indicators and calculations are fixed. This minimizes the risk of over-optimization and false signals, preserving the system’s core methodology.
Key Features
Neutral Zones: Unlike conventional trend-following indicators that only provide buy and sell signals, this indicator also identifies neutral areas (yellow bars) in the market.
Momentum + Trend Analysis: It combines multiple criteria to more accurately analyze the market direction.
Standard Price Data: All calculations are based on standard OHLC values. While Heikin Ashi or other candlestick styles may be used solely for enhanced visual clarity, they do not affect signal generation.
How to Use
🟢 Green Bars: Indicate a strong uptrend (Long).
🔴 Red Bars: Indicate a downtrend (Short).
🟡 Yellow Bars: Represent uncertain market conditions; avoid opening new positions during these periods.
Timeframe and Usage Recommendations
Signal quality may be poor in low-volume or illiquid securities.
For optimal results, it is recommended to use timeframes of 30 minutes or higher.
It has proven particularly effective on 4-hour, 8-hour, and daily charts.
Although it can be applied to shorter timeframes, increased price volatility may reduce signal accuracy.
Important Notice
This indicator is developed solely for technical analysis purposes and does not constitute investment advice. Market conditions can change rapidly— even a single candle can break through support or resistance levels. Yellow bars indicate that you should close your existing position and wait, or monitor for trend clarification, but do not necessarily signal an imminent trend reversal. All investment decisions should be made based on your own research and risk management strategies.
S&P Discipline SystemS&P Discipline System - User Guide By Macro-Guy
Welcome to the S&P Discipline System. This indicator is designed to enforce trading discipline, help you avoid "chasing" the market, and ensure you only trade when high-probability conditions align.
Follow me (Macro-Guy) on TradingView for script updates and market insights.
WHAT THIS INDICATOR DOES
Session Filtering: Identifies optimal US trading hours (Blue Tint).
Entry Zones: Signals pullbacks to the 21-period Moving Average (Yellow Line).
Short Protection: A built-in filter to stop you from shorting into "oversold" or "strong trend" conditions.
Risk Management: Provides ATR-based and Swing-based stop loss levels.
QUICK START GUIDE
Apply to Chart: Best used on SPX, SPY, ES, or US500.
Check the Status Table: Located in the top-right.
Green Action: Good to go.
Red Action: Stay out/Wait.
Wait for Signals:
Green "BUY ZONE": Look for long entries.
Red "SHORT ZONE": Look for short entries.
Muted Labels: Setup is forming but it is currently outside US Session hours.
UNDERSTANDING THE VISUALS Background Colors:
Light Green: Bullish trend; favor longs.
Light Red: Bearish trend; shorts permitted.
Gray: Choppy market; exercise caution.
Blue Tint: Active US trading session.
Orange Tint: Outside US hours (Observe only).
Moving Averages:
Yellow (21 MA): The primary entry zone for pullbacks.
Blue (50 MA): Intermediate trend filter.
White (200 MA): Major institutional trend direction.
THE SHORT FILTER (IMPORTANT) To prevent "shorting the bottom," the indicator only permits shorts when:
Price is below the 50 MA.
The 21 MA and 50 MA are both sloping down.
RSI is between 45-65. If the table says "NO SHORTS," do not fight the algorithm.
HOW TO TRADE THE SYSTEM For Longs:
Wait for Green background (Bullish).
Price must pull back to the Yellow 21 MA line.
"BUY ZONE" label must appear during the US Session (Blue tint).
Enter Long. Place stop at the Red Circle or Orange Cross.
For Shorts:
Wait for Red background (Bearish).
Price must bounce up to the Yellow 21 MA line.
Table must show "SHORTS OK" in green.
Enter Short. Place stop at the Red Circle or Orange Cross.
SETTING UP ALERTS
Right-click chart > Add Alert.
Select S&P Discipline System as the condition.
Choose: Buy Zone - US Session or Short Zone - US Session.
DISCLAIMER This indicator is a tool to assist with discipline and timing. It does not guarantee profits. Always manage your risk and never trade more than you can afford to lose. Past performance does not guarantee future results.
Happy Trading!
Simple VWMA Smooth | QuantEdgeBSimple VWMA Smooth (SVS) | QuantEdgeB
🔍 What Is Simple VWMA Smooth?
SVS is a smoothed, volume-aware trend filter that blends a Gaussian-pre-filtered, low-lag moving average with dynamic standard-deviation bands. It identifies trends by measuring when price moves decisively above or below a VWMA (Volume-Weighted Moving Average) baseline—filtering out noise while letting high-volume moves carry more influence than low-volume noise.
⚙️ Core Components
1) DEMA Pre-Filter
A double-EMA smoothing step to reduce initial noise before further processing.
2) Gaussian Smoothing
Applies a small-kernel Gaussian filter to produce a cleaner input series that suppresses rapid spikes.
3) VWMA Baseline (Volume-Weighted Average)
Computes a moving average where each bar is weighted by volume, so the baseline tracks “meaningful” price moves more than low-liquidity fluctuations.
• In high volume → the baseline reacts more to those candles
• In low volume → price changes have less impact
4) Volatility Bands
Surrounds the VWMA line with ± N × SD bands (separate multipliers for upper and lower) to capture current market volatility, creating dynamic thresholds for trend detection.
5) Trend Signal
• Long when price closes above the upper band
• Short when price closes below the lower band
• Otherwise neutral
💡 Why It’s Special
• Volume-Validated Responsiveness: VWMA prioritizes moves backed by volume, helping reduce signals caused by thin-market noise.
• Multi-Stage Filtering: The DEMA → Gaussian → VWMA sequence suppresses noise while keeping trend structure clear.
• Asymmetric Bands: Separate multipliers for upper/lower bands let you tune bullish vs bearish sensitivity independently.
• Visual Clarity: Color-coded candles and filled bands highlight trending phases at a glance, while backtest tables quantify performance.
📊 Backtest Mode
SVS includes an optional backtest table, enabling traders to assess historical effectiveness before using it live.
Backtest Metrics Displayed:
• Equity Max Drawdown
• Profit Factor
• Sharpe Ratio
• Sortino Ratio
• Omega Ratio
• Half Kelly
• Total Trades & Win Rate
💼 Ideal Use Cases
• Trend Identification: Spot cleaner trend starts/exits across stocks, FX, or crypto with reduced lag and fewer false breakouts.
• Volume Regimes: Helps distinguish “real” moves (high participation) from weak moves (low participation).
• Multitimeframe Alignment: Confirm direction across timeframes before entries.
• System Building Block: Use as a volume-aware filter inside broader strategies.
🎨 Default Configuration
• DEMA Length: 7
• Gaussian Kernel: length = 4, sigma = 2.0
• VWMA Length: 14
• Volatility Bands: SD length = 40
📌 In Summary
Simple VWMA Smooth | QuantEdgeB is a volume-weighted, noise-suppressed trend filter that combines DEMA smoothing, Gaussian filtering, a VWMA baseline, and dynamic SD bands to separate genuine directional moves from market noise—across any asset or timeframe.
🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Stage Analysis & MinerviniScript with Stage Analysis and Minervini set data set ups
Candle stick colors:
Lime - Green candle with volume > 50day moving avg vol - Bullish
Yellow - Red or green candle with wick with volume > 50day moving avg vol - Bearish
Black - indecisive candle with volume
Table has the moving averages, ATR, ADR, minervini set ups.
Swing highs and swing lows are printed to identify the latest stop loss markers for swing traders who follow Stan Weinstein stage analysis method of stop loss management
Volume labels and markers are present in the candle if applicable.
