Analog Flow [KedArc Quant]Overview
AnalogFlow is an advanced analogue based market projection engine that reconstructs future price tendencies by matching current price behavior to historical analogues in the same instrument. Instead of using traditional indicators such as moving averages, RSI, or regression, AnalogFlow applies pattern vector similarity analysis - a data driven technique that identifies historically similar sequences and aggregates their subsequent movements into a smooth, forward looking curve.
Think of it as a market memory system:
If the current pattern looks like one we have seen before, how did price move afterward?
Why AnalogFlow Is Unique
1. Pattern centric - it does not rely on any standard indicator formula; it directly analyzes price movement vectors.
2. Adaptive - it learns from the same instrument's past behavior, making it self calibrating to volatility and regime shifts.
3. Non repainting - the projection is generated on the latest completed bar and remains fixed until new data is available.
4. Noise resistant - the EMA Blend engine smooths the projected trajectory, reducing random variance between analogues.
Inputs and Configuration
Pattern Bars
Number of bars in the reference pattern window: 40
Projection Bars
Number of bars forward to project: 30
Search Depth
Number of bars back to look for matching analogues: 600
Distance Metric
Comparison method: Euclidean, Manhattan, or Cosine (default Euclidean)
Matches
Number of top analogues to blend (1-5): Top 3
Build Mode
Projection type: Cumulative, MeanStep, or EMA Blend (default EMA Blend)
EMA Blend Length
Smoothness of the projected path: 15
Normalize Pattern
Enable Z score normalization for shape matching: true
Dissimilarity Mode
If true, finds inverse analogues for mean reversion analysis: false
Line Color and Width
Style settings for projection curve: Blue, width 2
How It Works with Past Data
1. The system builds a memory bank of patterns from the last N bars based on the scanDepth value.
2. It compares the latest Pattern Bars segment to each historical segment.
3. It selects the Top K most similar or dissimilar analogues.
4. For each analogue, it retrieves what happened after that pattern historically.
5. It averages or smooths those forward moves into a single composite forecast curve.
6. The forecast (blue line) is drawn ahead of the current candle using line.new with no repainting.
Output Explained
Blue Path
The weighted mean future trajectory based on historical analogues.
Smoother when EMA Blend mode is enabled.
Flat Section
Indicates low directional consensus or equilibrium across analogues.
Upward or Downward Slope
Represents historical tendency toward continuation or reversal following similar conditions.
Recommended Timeframes
Scalping / Short Term
1m - 5m : Short winLen (20-30), small ahead (10-15)
Swing Trading
15m - 1h : Balanced settings (winLen 40-60, ahead 20-30)
Positional / Multi Day
4h - 1D : Large windows (winLen 80-120, ahead 30-50)
Instrument Compatibility
Works seamlessly on:
Stocks and ETFs
Indices
Cryptocurrency
Commodities (Gold, Crude, etc.)
Futures and F&O (both intraday and positional)
Forex
No symbol specific calibration needed. It self adapts to volatility.
How Traders Can Use It
Forecast Context
Identify likely short term price path or drift direction.
Reversal Detection
Flip seekOpp to true for mean reversion pattern analysis.
Scenario Comparison
Observe whether the current regime tends to continue or stall.
Momentum Confirmation
Combine with trend tools such as EMA or MACD for directional bias.
Backtesting Support
Compare projected path versus realized price to evaluate reliability.
FAQ
Q1. Does AnalogFlow repaint?
No. It calculates only once per completed bar and projects forward. The future path remains static until a new bar closes.
Q2. Is it a neural network or AI model?
Not in the machine learning sense. It is a deterministic analogue matching engine using statistical distance metrics.
Q3. Why does the projection sometimes flatten?
That means similar historical setups had no clear consensus in direction (neutral expectation).
Q4. Can I use it for live trading signals?
AnalogFlow is not a signal generator. It provides probabilistic context for upcoming movement.
Q5. Does higher scanDepth improve accuracy?
Up to a point. More depth gives more analogues, but too much can dilute recency. Try 400 to 800.
Glossary
Analogue
A past pattern similar to the current price behavior.
Distance Metric
Mathematical formula for pattern similarity.
Step Vector
Difference between consecutive closing prices.
EMA Blend
Exponential smoothing of the projected path.
Cumulative Mode
Adds sequential historical deltas directly.
Z Score Normalization
Rescaling to mean 0 and variance 1 for shape comparison.
Summary
AnalogFlow converts the market's historical echoes into a structured, statistically weighted forward projection. It gives traders a contextual roadmap, not a signal, showing how similar past setups evolved and allowing better informed entries, exits, and scenario planning across all asset classes.
Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and proper risk management when applying this strategy.
指数移动平均线(EMA)
ATR SL/TP Precision Zones (Dots)ATR SL/TP Precision Zones (Dots) is a volatility-based tool designed to help traders set accurate Stop Loss and Take Profit levels based on real market volatility — not fixed pips or emotion.
This indicator uses ATR (Average True Range) multiplied by 1.2 to calculate dynamic distance bands.
Instead of drawing a ribbon or channel, it places simple dots above and below each candle:
Upper Dot (Green) → Suggested Take Profit / Price Stretch Zone
Lower Dot (Red) → Suggested Stop Loss Cushion / Support Expansion Zone
Because ATR measures market volatility, these dots expand during high volatility and tighten during slow markets, helping traders avoid stop-loss hunts and premature exits.
Why This Works
Most traders lose because:
They set SL too close → stopped out by noise
They set TP too far → price never reaches it
This tool calibrates those distances automatically based on real price movement behavior.
ATR = volatility
Volatility = market breathing room
This indicator ensures your trade has room to breathe, increasing win consistency.
Best Use Cases
Scalping
Swing trading
Trend continuation entries
Reversal confirmations with support/resistance
Works on Crypto / Forex / Stocks / Futures
Quantura - Quantified Price Action StrategyIntroduction
“Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices.
Originality & Value
The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of:
Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity.
Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs.
RSI filter: Can be set to normal or aggressive, confirming momentum before trades.
Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies.
EMA filter: Aligns trades with the broader market trend.
Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions.
This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow.
Functionality & Indicators
Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap.
Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection.
RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness.
FVG filter: Adds validation by requiring price interaction with inefficiency zones.
EMA filter: Ensures longs are above EMA and shorts below EMA.
Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status.
Parameters & Customization
Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options.
Liquidity filter: Mode (Run or Sweep), display, and swing length.
RSI: Enable/disable, length, and style (normal or aggressive).
Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles.
EMA: Length, enable/disable, and visualization.
Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing.
Visualization: Custom candle coloring and optional overlay for better clarity.
Default Properties (Strategy Settings)
Initial Capital: 10,000 USD
Position Size: 100% of equity per trade (backtest default)
Commission: 0.1%
Slippage: 1
Pyramiding: 0 (only one position at a time)
Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%.
Backtesting & Performance
Backtests on XPTUSD over 2.5 years with the default settings produced:
164 trades
67.68% win rate
Profit factor: 1.7
Maximum drawdown: 27.81%
These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes.
Risk Management
Three configurable take-profit levels with percentage allocation.
Initial stop-loss based on user-defined percentage.
Dynamic stop-loss that adjusts with market movement.
Break-even logic that shifts stops to entry after predefined gains.
Position sizing based on risk percentage of equity.
This framework allows both conservative and aggressive configurations, depending on user preference.
Limitations & Market Conditions
Works best in volatile and liquid markets such as crypto, metals, indices, and FX.
May produce false signals in low-volume or sideways environments.
Unexpected news or macro events can override technical conditions.
Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use.
Usage Guide
Add “Quantura – Quantified Price Action Strategy” to your chart.
Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe.
Configure risk management: take-profits, stop-loss, and risk-per-trade percentage.
Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions.
Optimize parameters before applying the strategy to different markets.
Author & Access
Developed 100% by Quantura. Published as an Invite-Only script.
Important
This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
Quantura - Quantitative AlgorythmIntroduction
“Quantura – Quantitative Algorithm” is an invite-only Pine Script strategy designed for multi-timeframe analysis, combining technical filters with user-adjustable fundamental sentiment. It was primarily developed for cryptocurrency markets but can also be applied across other assets such as Forex, stocks, and indices. The goal is to generate structured trade signals through a confluence of techniques rather than relying on a single indicator.
Originality & Value
Quantura is not a simple mashup of indicators. Its originality comes from how multiple layers of analysis are integrated into a single decision framework . Instead of showing indicators separately, the strategy only issues trades when several conditions align simultaneously:
RSI entry triggers confirm overbought/oversold reversals.
Market structure on a higher timeframe confirms trend direction.
Order block detection highlights zones of concentrated supply and demand.
Premium/Discount zones identify potential over- and undervaluation.
HTF EMA provides trend confirmation.
Optional candlestick patterns strengthen reversal or continuation signals.
An optional correlation filter compares the main asset to a reference instrument.
This design forces agreement between different methodologies (momentum, structure, value, volume, sentiment), which reduces noise compared to using them in isolation.
Functionality & Indicators
Entry trigger: RSI exits from extreme zones.
Filters: Only valid when all selected filters (HTF structure, EMA, order blocks, premium/discount, candlesticks, correlation, volume) confirm the direction.
Fundamental bias: User-defined sentiment and analysis settings (bullish, bearish, neutral) influence whether long or short trades are permitted.
Exits: ATR-based take profit and stop loss, with optional breakeven, opposite-signal exit, and session-end exit.
Visualization: Buy/Sell markers, trend-colored candles, and an optional dashboard summarizing indicator status.
Parameters & Customization
Timeframes: Independent HTF and LTF selection.
Trading direction: Long / Short / Both.
Session and weekday filters.
RSI length and thresholds.
Filters: HTF structure, order blocks, premium/discount, EMA, candlestick, ATR volatility, volume zones, correlation.
Exit rules: ATR multipliers for TP/SL, breakeven logic, session-end exit, opposite-signal exit.
Visuals: Toggle signals, candles, dashboard, custom colors.
Default Properties (Strategy Settings)
Initial Capital: 100,000 USD
Position Size: 15% of equity per trade
Commission: 0.25%
Slippage: enabled
Pyramiding: 0 (one position at a time)
Note: The position sizing of 15% equity per trade is intentionally set for backtesting demonstration. In real trading, risking this much is considered aggressive. Most traders prefer to risk 1-5% of equity, and rarely above 10%.
Backtesting & Performance
Backtests on BTCUSD (2 years) with the above defaults showed:
112 trades
Win rate: 40%
Profit factor: 1.4
Maximum drawdown: 34%
These results illustrate how the confluence model behaves, but they are not predictive of future performance . The trade sample size (72 trades) is below the 100+ usually recommended for statistical robustness. Users should re-test with their own preferred symbols, settings, and timeframes.
Risk Management
ATR-based stops and targets scale with volatility.
Commission and slippage are included by default for realistic modeling.
Opposite-signal exit helps capture trend reversals.
Session-end exit can close intraday positions before illiquid hours.
Breakeven option protects profits when available.
Although the default allocation uses 15% per trade for demonstration, this is not a recommendation. Users are encouraged to adjust risk sizing downwards to sustainable levels (commonly 1-5%).
Limitations & Market Conditions
Performs best in volatile, liquid markets (e.g., crypto).
May struggle in prolonged sideways markets with low volatility.
News events and fundamentals outside user inputs can override signals.
Backtests below 100 trades should be considered exploratory, not statistically conclusive.
Usage Guide
Add “Quantura – Quantitative Algorithm” to your chart in strategy mode.
Select HTF and LTF timeframes, trading direction, and session filters.
Configure confluence filters (structure, EMA, order blocks, premium/discount, candlestick, correlation, volume).
Set sentiment and analysis bias in fundamental settings.
Adjust ATR multipliers and exits.
Review buy/sell signals and analyze performance in the Strategy Tester.
Author & Access
Developed 100% by Quantura . Distributed as an Invite-Only script . Details are provided in the Author’s Instructions field.
Important: This description complies with TradingView’s Script Publishing Rules and House Rules. It does not guarantee profitability, avoids unrealistic claims, and explains how the strategy integrates multiple methods into a coherent decision framework.
KD-NewAutoTrade for Future Trading - Heikin Ashi candles The KD-NewAutoTrade strategy is a dynamic trend-following indicator designed for scalping and swing trading across crypto, forex, and index futures. It combines the precision of EMA crossovers, RSI momentum, and ADX trend strength to deliver clear Buy/Sell signals with high reliability.
🔹 Core Logic
EMA Fast & Slow Crossover – Identifies short-term and long-term trend shifts.
RSI Confirmation – Filters out false signals by requiring RSI to cross custom Buy/Sell thresholds.
ADX Filter – Ensures trades only trigger when market trend strength exceeds your chosen ADX minimum.
🔹 Key Features
Visual Buy/Sell triangles directly on the chart.
Customizable inputs for EMA, RSI, and ADX lengths.
Works efficiently on all timeframes and all markets (Crypto, Indices, Stocks, Commodities).
Optional background highlights for active trade zones.
Alert conditions for both BUY and SELL setups – ready to use in automated strategies or alert bots.
🔹 Recommended Usage
Use Heikin Ashi candles
Works best on 1M - 5M timeframes.
Combine with volume or higher-timeframe trend confirmation for stronger signals.
CDC BACKTEST (MACD) FIX AMOUNT $200k per trade This strategy implements an Exponential Moving Average (EMA) Crossover System designed for backtesting and performance evaluation. EMA 12,26 (MACD)
The trading logic is based on the crossover between two EMAs — a short-term EMA (12) and a long-term EMA (26) — which serves as a momentum-based signal for trend identification.
Buy Condition:
A long (buy) position is entered when the 12-period EMA crosses above the 26-period EMA, indicating a potential upward trend or bullish momentum.
Sell Condition:
A position is closed, or a short (sell) position is opened, when the 12-period EMA crosses below the 26-period EMA, signaling a potential downward trend or bearish momentum.
Position Sizing:
Each trade with a fixed position size of 200,000 USD (default), while the starting account balance is set at 400,000 (USD).
Both the fixed trade amount and the initial balance are user-adjustable parameters, allowing flexibility for different risk preferences and portfolio sizes.
(15M) Gold Daily SignalQuick Start
Symbol XAUUSD, timeframe 15m.
Defaults: TP 50 pips, SL 150 pips.
Wait for green (long) or red (short) background after bar close.
Place orders at the plotted Entry / TP / SL; optional scale-ins at E1/E2.
Max signals kept on chart – housekeeping only (limits old drawings).
Alerts
Turn Green → ready-to-buy signal.
Turn Red → ready-to-sell signal.
Create alerts once per bar close and keep the default message or customize.
WIN1! • Crossing EMAs• (By Mesquita, v7)Moving average crossover strategy for intraday movements, especially in the continuous index (WIN1!) on the Brazilian stock exchange B³. The strategy is customizable for time windows, has a filter for trades only above the long-term average, whether only long, only short, or both, with or without stop loss.
ALMA & EMA Ribbon by zdmreThis indicator combines a unique trend-following signal with a classic EMA ribbon to provide a clear view of the market trend.
The main signal line is not based on a typical ATR. Instead, it uses an Arnaud Legoux Moving Average (ALMA) as its baseline and calculates support/resistance bands using Standard Deviation. This creates a responsive trend line that adapts well to volatility. This is paired with a simple EMA Ribbon to help confirm momentum.
What It Does
ALMA + SD Trend Line: This is the core of the indicator. It uses an ALMA as the baseline (instead of a simple MA) and Standard Deviation for the bands. This tends to be more responsive than many traditional trend-following indicators.
Buy/Sell Signals: Simple "B" and "S" labels appear on your chart when the trend is calculated to have changed direction.
EMA Ribbon: A standard Fast/Slow EMA ribbon is plotted to give you a secondary confirmation of momentum. The fill between the EMAs changes color (green for bull, red for bear).
On-Screen Dashboard: A clean info panel in the corner shows you the current status of all components at a glance:
Current Signal (Long/Short)
Price vs. Trend Line (Above/Below)
Trend Strength (%)
EMA Trend (Bullish/Bearish)
Momentum
Fully Customizable: You can toggle every visual element on or off (the signals, the ribbon, the bar coloring, the dashboard) to keep your chart clean.
Settings
Trend Settings:
Factor: This is the main setting. It's the Standard Deviation multiplier. A higher value makes the line less sensitive (fewer signals). A lower value makes it more sensitive (more signals).
SD Length: The lookback for the Standard Deviation.
ALMA Settings:
ALMA Length, Sigma, Offset: Standard controls for the ALMA's smoothness and responsiveness.
EMA Ribbon:
Fast EMA & Slow EMA: Set the lengths for your ribbon.
Visual Settings:
Checkboxes to toggle all visual components (signals, ribbon, dashboard, etc.).
You can set up alerts in TradingView for the following events:
🟢 Long Signal: Triggers on a new "B" (Buy) signal.
🔴 Short Signal: Triggers on a new "S" (Sell) signal.
⚠️ Price Crossed Trend: Triggers any time the price closes across the main trend line.
#DYOR
Enhanced Trend & EMA Screener### Overview
Enhanced Trend & EMA Screener is a multi-symbol overlay indicator that aggregates trend, momentum, structure, strength, and volatility signals across up to 8 user-defined tickers (e.g., SPY, QQQ, AAPL, MSFT) on a chosen timeframe, using a fused methodology of exponential moving average (EMA) crossovers for entry triggers, Ichimoku cloud positioning for equilibrium assessment, Average Directional Index (ADX) for trend persistence, Average True Range (ATR) percentile regimes for volatility context, and a linear regression slope as a lightweight momentum proxy for directional bias. By normalizing and scoring these into a unified sentiment matrix (Bullish/Bearish/Neutral per metric), it enables rapid confluence detection—e.g., a ticker scoring Bullish on 5/6 metrics signals high-probability alignment—via a color-coded dashboard and debug table. Crossover labels and alerts provide actionable notifications, streamlining portfolio surveillance without juggling multiple charts or indicators.
### Core Mechanics
The screener fetches secure, non-repainting data for each ticker via `request.security` (lookahead off) and processes signals in parallel on the last bar for efficiency. Each component contributes to a holistic sentiment score, where EMA crossovers act as kinetic triggers, Ichimoku provides structural bias, ADX validates strength, ATR contextualizes risk, and linear regression offers a predictive slope—integrated to avoid isolated signals and emphasize multi-factor agreement:
- **EMA Crossovers (Momentum Triggers)**: Tracks price interactions with layered EMAs (10, 21, 50, 89 periods) using `ta.crossover`/`ta.crossunder`. A close above EMA10 flags short-term bullish acceleration; below EMA89 signals long-term bearish reversal. These serve as the "spark" for alerts/labels (e.g., "AAPL ↑ EMA21"), prioritized in the dashboard's Crossover column to highlight recent events.
- **Ichimoku Cloud Positioning (Equilibrium Structure)**: Computes Tenkan-sen (9-period HL/2), Kijun-sen (26-period), Senkou Span A (midpoint projected 26 bars ahead), and Span B (52-period high/low midpoint). Scores cloud interaction quantitatively: Close above both spans = Bullish (8/10, price in "future equilibrium" zone); below = Bearish (2/10); within = Neutral (5/10). This overlays EMA kinetics with forward-looking support/resistance, filtering crossovers in choppy ranges (e.g., neutral score mutes weak EMA10 breaks).
- **ADX Directionality (Trend Strength Filter)**: Via `ta.dmi(14)`, compares +DI/-DI lines: +DI > -DI = Bullish (uptrend dominance); -DI > +DI = Bearish; parity = Neutral. ADX value (14-period) adds implicit strength (though not scored here, it contextualizes via sentiment). Integrates by downweighting EMA triggers in low-strength neutrals, ensuring signals reflect sustained direction rather than noise.
- **ATR Volatility Regimes (Risk Context)**: Calculates ATR(14) normalized as % of close, then percentile-ranked over 20 bars with directional trend (rising/falling/stable). High percentile (>75%) + rising = Bullish (8/10, expansion favors trends); low (<25%) + falling = Bearish (2/10, contraction warns reversals); mid + stable = Neutral (5/10). This modulates other signals—e.g., bullish EMA in rising ATR boosts confluence, preventing entries in contracting vols where trends fizzle.
- **Linear Regression Slope (Momentum Proxy)**: Uses `ta.linreg(close, 21, 0)` to fit a least-squares line, deriving slope as % change (current - prior linreg / close * 100). >0% threshold = Bullish (upward trajectory); <-threshold = Bearish; near-zero = Neutral. This proxies directional momentum by extrapolating price inertia, synergizing with Ichimoku/ADX for "predicted persistence"—e.g., positive slope confirms ADX bullishness.
- **Multi-Timeframe (MTF) Overlay**: Pulls weekly linear regression sentiment for higher-TF bias, displayed separately to contextualize daily signals (e.g., daily Bullish + weekly Bearish = caution).
Aggregation: Per-ticker row in the 7-column dashboard (Symbol, EMA Trend, MTF, Ichimoku, ADX, ATR, Crossover) uses color-coding (green/red/gray) for at-a-glance scans; a debug table exposes raw values (prices, EMAs, slopes) for transparency. On-chart: Plots EMAs and linreg line; labels (e.g., "TSLA ↓ EMA50") mark crossovers with ticker tags.
### Why This Adds Value & Originality
Single-metric screeners (e.g., pure EMA cross) generate excessive noise; multi-indicator dashboards often aggregate without integration, leading to conflicting reads. This mashup is purposeful: EMAs provide tactical triggers, but are filtered by Ichimoku's structural equilibrium (avoiding breaks in "cloud fog"), ADX's strength validation (ignoring weak trends), ATR's vol regime (scaling for market phases), and linreg's slope (forecasting sustainability)—creating a "confluence engine" where isolated signals (e.g., EMA10 cross) require 3+ agreements for dashboard prominence. The MTF weekly linreg adds hierarchical depth, and percentile-normalized ATR ensures cross-asset comparability (e.g., NVDA vol vs. SPY). Unlike generic mashups (e.g., Bollinger + RSI stacks), this uses linreg to "predict" EMA/ADX outcomes, reducing false positives by ~40% in backtests on QQQ Daily (verifiable via strategy conversion). No public equivalent fuses these five with MTF + debug transparency in a compact 8-ticker format, enabling efficient portfolio rotation (e.g., buy tickers with 4+ Bullish scores).
### How to Use
- **Setup**: Overlay on any chart (e.g., SPY Daily). Edit tickers (e.g., swap GOOGL for NVDA); select timeframe (D default for swings); adjust periods (shorter EMAs for intraday). Set linreg threshold (0% sensitive, 0.5% conservative). Enable labels/debug for visuals/raws.
- **Interpret Dashboard**:
- **Rows**: One per ticker; scan columns for alignment (e.g., AAPL: Green across EMA/Ichimoku/ADX + ↑ EMA21 = strong buy bias).
- **Crossover**: Recent events (e.g., "↑ 50" green = bullish momentum shift).
- **Confluence Rule**: 4+ Bullish = long setup; MTF mismatch = hold.
- **Debug Table**: Verify (e.g., EMA10=150.25 > price=149.80 = no cross).
- **Trading Example**: On QQQ 1H, dashboard shows Bullish EMA (slope +0.3%), Ichimoku (above cloud), ADX (up), ATR (rising), MTF Neutral, with "↑ 10" crossover → Enter long, stop below EMA21, target next resistance. Alerts notify "MSFT crossed above EMA50 on D".
Best for daily portfolio scans (stocks/indices); 1H–W timeframes. Pair with volume for entries.
### Tips
- Customize: High-vol tickers (TSLA)? Raise ATR percentile to 80; low-vol (bonds)? Lower linreg threshold to -0.2%.
- Efficiency: Limit to 4–6 tickers on mobile; use debug for slope tuning.
- Alerts: Freq once/bar_close; customize messages for specifics (e.g., "Bullish confluence on {{ticker}}").
### Limitations & Disclaimer
Fetches lag by timeframe resolution (e.g., D = EOD); crossovers confirm on close (no intra-bar). Sentiments are filters, not standalone signals—false positives in ranges (e.g., neutral Ichimoku mutes but doesn't eliminate). Linreg slope is linear approximation, not advanced modeling (overfits trends). No position sizing/exits—integrate ATR*1.5 stops, risk <1%. Backtest per ticker/timeframe. Not advice; educational tool only. Past patterns ≠ future. Comments for enhancements!
Launchpad & SlingshotOverview and Originality:
This indicator combines two complementary trading concepts—Launchpad (LP) and Slingshot (SS)—into a single, cohesive tool designed to identify potential trend continuations and reversals in trending markets. Launchpads provide context on overall trend alignment via stacked moving averages, acting as a filter for higher-probability setups, while Slingshot pinpoints precise entry timing during short-term pullbacks or bounces within those trends. This synergy reduces false signals by requiring both trend confirmation (LP) and momentum shift (SS), making it more robust than using either in isolation. Unlike simple merges, this script adds original enhancements such as a "curling" filter on the shortest Launchpad MA to ensure directional momentum, separate configurable MAs for bullish/bearish Slingshot thresholds, and combined LP/SS alerts for chained patterns (e.g., LP following SS). These improvements aim to enhance usability for trend-following strategies, particularly in volatile stocks or forex pairs, by providing visual labels, alerts, and multi-timeframe support without overcomplicating the core logic.
Underlying Concepts:
Launchpad (LP): Based on the idea of moving average "stacking," where shorter-period MAs align above longer ones in uptrends (bullish stack) or below in downtrends (bearish stack). This detects when price is in a strong, aligned trend phase, similar to how Guppy Multiple Moving Averages identify trend strength through ribbon compression/expansion. The script uses up to four customizable MAs (default: 8/21/50/200 EMAs of close), calculating the highest/lowest among included ones as the key crossover level. A signal triggers when the stack forms from a non-stacked state and price crosses the extreme MA, indicating potential trend acceleration.
Slingshot (SS): Draws from Scot1and's bullish pattern, which looks for price to remain below a 4-period EMA of highs for three consecutive bars (signaling a controlled pullback), then close above it (indicating rebound momentum). This script symmetrizes it for bearish cases using a separate 4-period EMA of lows, allowing detection of breakdowns after temporary bounces in downtrends. The separation of bull/bear sources is an original adaptation to better capture market structure asymmetry—highs for resistance in uptrends, lows for support in downtrends—reducing noise compared to a single-source approach.
The components work together by allowing users to spot "LP after SS" patterns: a Slingshot pullback/rebound followed by a Launchpad stack crossover, which often signals stronger continuations. This chained logic is grounded in momentum trading principles, where short-term mean reversion (SS) aligns with longer-term trend bias (LP) for improved risk-reward entries.
How It Works: The script calculates signals on each bar as follows:
Launchpad Calculations:
Build an array of included MAs (users can exclude any via inputs).
Check for stacking: For bull LP, shorter MAs > longer ones; for bear, shorter < longer.
Require a transition from non-stacked to stacked state.
Price must cross above the highest MA (bull) or below the lowest (bear).
Original filter: The shortest MA must be "curling" up (current > previous for bull) or down (current < previous for bear) to confirm recent momentum, preventing signals in counter-trend flattenings.
Slingshot Calculations:
Use separate MAs: Bull SS uses EMA of highs (default); Bear SS uses EMA of lows.
For bull SS: Close below bull MA for the prior N bars (default 3), then close above it.
For bear SS: Close above bear MA for prior N bars, then close below it.
No additional filters like volume or momentum jumps are applied, staying true to the pattern's simplicity.
Combined and Additional Signals:
"LP after SS": Triggers if LP occurs immediately after an SS, highlighting high-conviction setups.
Stack alerts: Pure stack with price above/below extremes, for trend monitoring.
All MAs can use multi-timeframe data via the timeframe input.
Alerts are set for each condition, and labels appear on the chart (configurable visibility, size, colors). Labels combine (e.g., "Bull LP & SS") if both trigger simultaneously.
How to Use It: Add the script to your chart via TradingView's indicator menu. Default settings suit daily/intraday charts for trending assets like stocks in bull markets (e.g., tech sector during rallies).
Interpretation:
Bull SS: Look for labels during uptrends; enter long on close above the blue Bull SS MA line after a 3-bar pullback. Use as a dip-buy signal.
Bear SS: In downtrends, enter short on close below the purple Bear SS MA after a 3-bar bounce.
Bull LP: Confirms trend strength; enter long on crossover if shortest MA is rising (green label).
Bear LP: Short entry on downside crossover with falling shortest MA (red label).
Prioritize "LP after SS" for layered confirmation—e.g., SS rebound leading into LP acceleration.
Monitor stack alerts for overall bias; avoid trading against the stack.
Customization:
Launchpad Group: Adjust lengths/sources/types; exclude MAs for simpler stacks (e.g., just 50/200 for long-term).
Slingshot Group: Change length (4 default), type (EMA), sources (high/low defaults), or preceding bars (3 default).
Display: Toggle labels, set timeframe (e.g., "D" for daily MAs on hourly chart), adjust offset for label positioning.
Test on historical data: Apply to strong trenders like AAPL or BTC; backtest entries with stops below recent lows.
For best results, combine with volume confirmation or broader market context—e.g., above 200-day MA for longs. This is not financial advice; always use risk management.
SA_EMA Combo + UT BotEMA Combo + UT Bot is an indicator designed to make it easier to track trend direction and momentum reversals on the same chart.
The indicator combines multiple EMA lines (50/100/150/200) with a short- and medium-term EMA cloud. This cloud visually shows whether the market is in a bullish or bearish trend through color changes.
In addition, it uses the UT Bot algorithm to generate buy and sell signals adapted to market volatility. These signals are triggered when the price crosses the ATR-based trailing stop level.
Users can choose to use Heikin Ashi candles and adjust signal sensitivity via the Key Value parameter. This allows traders to follow overall trends and potential reversal zones using a single tool.
Disclaimer: This indicator is for technical analysis purposes only and should not be considered financial advice.
Developed for Future Alpha Club.
Teknik Aritmetik Ortalama )Mira)-1*Finds the best places to buy.
*It plots an indicator that calculates the arithmetic average of the MA, EMA, and pivot values.
*Uses the same weight for all values in the calculation.
*Buying opportunities are identified when the price is at or below the indicator line and confirmed by other indicators and trading volume.
*Average values are customizable via the indicator's settings.
*It is not investment advice. It is designed to provide an idea for determining the best entry points.
KVS-FF-AA-2-FibThis indicator combines an EMA (Exponential Moving Average) cloud with advanced Fibonacci levels. It displays EMA's from three different timeframes (Daily, Weekly, Monthly) to help you track primary trends across various periods. It also generates a dynamic cloud for a user-defined timeframe.
The integrated Fibonacci tool offers four different calculation modes: Static, Dynamic, ATH/ATL, and Price. Additionally, you can select from four Fibonacci level types: Standard, Percentage, FF-AA, and FF-AA-2. This tool automatically determines the trend direction and plots the Fibonacci levels on either a logarithmic or linear scale.
Gildenburg ValueGildenburg Value
Purpose: Trend-strength indicator using three moving averages (fast/mid/slow) to identify Bull/Bear/Neutral zones and generate precise crossover signals.
Default parameters: fast = 8, mid = 13, slow = 21, MA type = EMA.
Zones:
Bull: fast > mid > slow
Bear: fast < mid < slow
Neutral: any other ordering
Signals:
BUY: fast crosses above mid, the post-crossing order is fast > mid > slow, and close > slow.
SELL: fast crosses below mid, the post-crossing order is fast < mid < slow, and close < slow.
Optional filter: minimum percentage gap between fast and mid to ignore weak crosses.
Visualization: three MAs on the chart, optional cloud between fast and mid colored by zone, signal arrows/labels, and alertconditions.
Adjustable settings: MA type (SMA/EMA/WMA/VWMA), MA periods, cloud on/off, show signals, minimum distance threshold.
Use to confirm trends and filter false entries.
EMA21The indicator includes 5x the EMA, which can be freely selected. The default settings are 5 min, 10 min, 15 min, 1 h, and 4 h. If a candle crosses an EMA, the wick of the candle is longer than that of the EMA, and if the candle body is above the EMA, it indicates a buy or sell accordingly.
TradeBee Vol-Pr SentimentThis indicator analyzes volume-weighted price sentiment and short-term scalp potential. It calculates buying vs. selling pressure based on intrabar price positioning and overlays a sentiment label ("Buy", "Sell", or "WAIT") depending on price behavior relative to a moving average. Additionally, it detects scalp setups using percent movement, slope, and volume acceleration — ideal for short-term momentum traders.
The sentiment and scalp signals are displayed in a floating table on the chart, with customizable position and label size.
- Vol-Price Sentiment:
"Buy" → Price above MA and buying pressure dominant
"Sell" → Price below MA and selling pressure dominant
"WAIT" → No clear bias
- Scalp Signal:
"Long Scalp" → Strong upward move with slope and volume confirmation
"Short Scalp" → Strong downward move with slope and volume confirmation
"No Setup" → No qualifying scalp conditions
Its optimal to have Wait/Buy and Long Scalp showing when entering a trade.
Goldencrossover - ema 5 over 13&26Goldencrossover - ema 5 over ema13& ema26 over the same candle.
Both up and down. If there is any such crossover during the same candle, then the indicator will highlight.
Phase Coherence Index (PCI) — Hilbert Prototype v0.1Phase Coherence Index (PCI) — Hilbert Prototype v0.1
✨ Concept:
The Phase Coherence Index (PCI) measures the degree of phase alignment among multiple trend components derived from band-filtered price signals.
In simpler terms, PCI quantifies how “in-sync” short, mid, and long-term market oscillations are.
A high PCI (values near 100) means the market’s cyclical components are moving together — a state of phase alignment that typically accompanies sustained, directional trends.
A low PCI (values near 0) indicates phase disorder or divergence between timeframes — often seen during transitions, chop, or volatility compression phases.
✨ How it works:
1. Multi-Band Extraction
The price series is decomposed into three frequency bands using a simple EMA-difference
bandpass filter:
Short-term band
Mid-term band
Long-term band
2. Hilbert Quadrature Approximation
For each band, a Hilbert-style quadrature signal (Q) is estimated using an Ehlers-inspired FIR kernel with coefficients h0=0.0962 and h1=0.5769.
The original bandpass (I) and its quadrature (Q) form a complex phasor that carries instantaneous phase information.
3. Phase Extraction
The arctangent of Q/I gives the phase angle (−π to π).
Each band’s phase represents the “timing” of its oscillation relative to price movement.
4. Coherence Calculation
All three band phases are converted to unit phasors (cos φ, sin φ).
The average of these phasors is taken, and the magnitude of the resulting vector defines the PCI value:
PCI = |mean_phasor| × 100
PCI = 100 → perfect phase alignment
PCI = 0 → complete phase randomness
5. Smoothing and Regime Coloring
The raw PCI is lightly smoothed by EMA to stabilize readings.
A simple SuperTrend regime filter (ATR length 5, factor 6) colors the PCI line:
Green: uptrend regime
Red: downtrend regime
Gray: low-coherence or neutral zone
✨ How to interpret PCI
High PCI (≥70):
Indicates strong phase coherence — multi-timeframe alignment, stable directional energy.
Often coincides with trend persistence or mature momentum phases.
Low PCI (≤30):
Suggests phase dispersion or regime transition — signals are desynchronized across bands.
Common near reversals, volatility compressions, or sideways congestion.
Cross-phase Transitions:
Rapid drops in PCI often precede periods of uncertainty or trend fatigue.
Rising PCI after a contraction suggests emerging order or trend formation.
✨ Visualization
PCI Line:
Displays phase coherence magnitude (0–100).
Color changes dynamically with SuperTrend regime.
Dotted Reference Levels:
70 (high coherence), 30 (low coherence), 50 (midline).
Optional Label:
When PCI is high, a text label appears indicating whether the average phase bias leans bullish or bearish.
✨ Practical Use
Combine PCI with momentum or volatility tools (e.g., RSI, ATR, DFI) to detect when multiple timeframes become synchronized.
Use PCI drops (<30) as early warnings for possible trend exhaustion or market disorder.
Use PCI rises (>70) as confirmation of trend continuation or emerging coherence.
✨ Limitations
PCI measures phase alignment, not directional bias. It should be combined with a directional filter (e.g., SuperTrend, slope, or moving average).
The Hilbert approximation is not a true analytic signal, but a real-time proxy optimized for stability.
PCI is best interpreted as a structural context indicator rather than a direct entry signal.
✨ Educational intent
This script is designed for quantitative study and visualization of phase alignment, not for direct trading advice.
It demonstrates how Hilbert-style phasors and vector averaging can reveal coherence across timescales — a foundational concept for spectral, cyclical, and structural analysis.
✨ Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice.
Trading involves risk; use at your own discretion.
© 2025 Trading Playground Labs — “Phase Coherence Index (Hilbert Prototype v0.1)
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📘 한국어 설명 (Korean translation below)
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Phase Coherence Index (PCI) — Hilbert Prototype v0.1 (한국어 설명)
✨ 개념
Phase Coherence Index (PCI) 는 여러 주기의 추세 구성 요소들 간에 위상의 정합 정도를 측정하는 지표입니다.
쉽게 말하면, 시장의 단기·중기·장기 진동(사이클)들이 서로 얼마나 “같은 박자”로 움직이는지를 수치화한 것입니다.
PCI 값이 100에 가까울수록 시장의 주기적 구성 요소들이 함께 움직이고 있다는 뜻이며,
이는 일반적으로 지속적인 방향성 추세(trend persistence) 상태를 의미합니다.
반대로 PCI 값이 0에 가까울수록 각 주기의 움직임이 서로 엇박자 상태로 흐르며,
이는 전환기(chop), 혼돈(chaos), 혹은 압축(squeeze) 상태를 반영합니다.
✨ 작동 원리
1. 다중 밴드 추출
가격 데이터를 3개의 주파수 대역으로 분리합니다.
단기 (short-term band)
중기 (mid-term band)
장기 (long-term band)
각 대역은 빠른 EMA와 느린 EMA의 차이(EMA difference)로 얻은 단순한 밴드패스로 계산됩니다.
2. Hilbert 직교 성분 근사
각 밴드에 대해 Ehlers 계열 FIR 필터를 이용한 Hilbert 근사 신호(Q)를 계산합니다.
원본 밴드패스 신호(I)와 Q를 결합하면 복소 위상(phasor) 를 구성할 수 있고,
이를 통해 각 대역의 순간 위상(instantaneous phase) 을 추정합니다.
3. 위상 계산
Q/I의 아크탄젠트 값을 구하면 위상각 φ(−π ~ π)가 도출됩니다.
이 위상은 해당 주기의 진동 타이밍을 나타냅니다.
4. 위상 정합(Phase Coherence) 계산
각 밴드의 위상을 단위 페이저 벡터 (cos φ, sin φ)로 변환합니다.
세 벡터의 평균을 구하고, 그 평균 벡터의 크기를 0~100 스케일로 변환한 값이 PCI입니다.
PCI = |평균 페이저| × 100
PCI = 100 → 완전한 위상 일치
PCI = 0 → 완전한 위상 무질서
5. 스무딩 및 추세 컬러링
계산된 PCI는 EMA로 약간 평활화되어 안정적으로 표시됩니다.
또한, SuperTrend 레짐 필터(ATR=5, Factor=6) 로 추세 방향에 따라 색이 바뀝니다:
초록색: 상승 추세
빨간색: 하락 추세
회색: 저정합 / 중립 구간
✨ 해석 방법
PCI ≥ 70 (높은 정합)
여러 타임프레임이 같은 방향으로 동기화되어 있는 상태입니다.
이는 추세 지속성, 모멘텀 유지, 구조적 안정 상태를 의미합니다.
PCI ≤ 30 (낮은 정합)
각 주기 간 위상 불일치가 심해지며, 시장이 방향을 잃거나 변곡점에 근접한 상황입니다.
보통 조정기, 변동성 축소, 횡보 국면에서 자주 나타납니다.
급격한 변동 (Phase Transition)
PCI가 급격히 하락하는 구간은 추세 피로(trend fatigue) 또는 혼돈 국면 진입의 신호일 수 있으며,
이후 PCI가 상승하기 시작하면 새로운 질서(추세 형성) 가 시작될 가능성을 의미합니다.
✨ 시각화 구성
PCI 라인:
위상 정합도의 크기(0~100)를 표시합니다.
SuperTrend 방향에 따라 색이 동적으로 변합니다.
점선 기준선:
70(높은 정합), 50(중간), 30(낮은 정합) 기준으로 시각화됩니다.
평균 위상 라벨:
PCI가 높을 때, 평균 위상의 방향이 상승(bullish) 인지 하락(bearish) 인지를 라벨로 표시합니다.
✨ 활용 방법
RSI, ATR, DFI 등 다른 모멘텀/변동성 지표와 함께 사용하면, 복수 타임프레임 동기화 구간을 탐지할 수 있습니다.
PCI 하락(30 이하)은 추세 피로 또는 혼돈 진입의 신호로, PCI 상승(70 이상)은 질서 회복 또는 추세 지속의 신호로 해석할 수 있습니다.
추세 전환, 조정, 또는 모멘텀 재편성 구간을 감지하는 데 유용합니다.
✨ 한계점
PCI는 방향성(Direction)을 직접 측정하지 않고, 구조적 정합(Alignment) 만 측정합니다. 따라서 반드시 방향 필터(SuperTrend, MA 기울기 등)와 함께 해석해야 합니다.
Hilbert 근사는 완전한 복소 해석 신호가 아니라, 실시간 안정성을 중시한 근사 모델입니다.
PCI는 진입 시그널용보다는 시장 구조 인식용 보조 지표로 적합합니다.
✨ 교육적 목적
이 스크립트는 위상 정합(phase coherence) 개념의 시각화와 정량적 연구를 위한 목적으로 설계되었습니다.
힐버트 변환 기반 위상 벡터(phasor) 와 벡터 평균화(vector averaging) 의 개념을 통해
시장의 다중 시간 구조 간 일관성(coherence)을 탐색할 수 있습니다.
✨면책
이 지표는 교육 목적으로만 제공됩니다.
투자 조언이 아니며, 모든 트레이딩 결정의 책임은 사용자에게 있습니다.
© 2025 Trading Playground Labs — Phase Coherence Index (Hilbert Prototype v0.1)
Developed for structural & spectral analysis of market phase alignment.
EMA6 or SMA6 Touch AlertThis script monitors the market and notifies you whenever the price touches either the 6-period EMA or the 6-period SMA.
It helps identify potential pullbacks, reaction points, or entry zones, as price interaction with these moving averages often signals short-term market shifts.
What the script does:
Calculates the EMA 6 and SMA 6
Detects if price touches either moving average within the candle
Plots both lines on the chart for visibility
Allows you to set alerts to receive automatic notifications
Best suited for:
Scalping
Day Trading
Pullback Entries
Short-term trend reactions
(15M) Gold Daily Signal — Invite OnlyQuick Start
Symbol XAUUSD, timeframe 15m.
Defaults: TP 50 pips, SL 150 pips.
Wait for green (long) or red (short) background after bar close.
Place orders at the plotted Entry / TP / SL; optional scale-ins at E1/E2.
Max signals kept on chart – housekeeping only (limits old drawings).
Alerts
Turn Green → ready-to-buy signal.
Turn Red → ready-to-sell signal.
Create alerts once per bar close and keep the default message or customize.
Malama's MTF MA Alignment ScannerMalama's Multi-Timeframe Moving Average Alignment Scanner (MTF MA Scanner) is an overlay indicator designed to simplify trend analysis by evaluating the alignment of multiple moving averages (MAs) across user-defined timeframes. It scans for bullish (MAs stacked ascending), bearish (descending), or mixed/neutral configurations, incorporating a VWAP (Volume Weighted Average Price) filter to contextualize price position relative to volume-based equilibrium. The result is a compact dashboard table summarizing signals from up to three timeframes, helping traders spot confluence for entries or reversals without manually switching charts. This tool draws from classic MA ribbon concepts but adds flexible MA types, dynamic sorting, and an overall trend score for quicker multi-TF insights.
Core Mechanics
The indicator processes data in layers to detect alignment and bias:
Moving Average Calculation: Supports five customizable MAs per timeframe, with types including Simple (SMA), Exponential (EMA), Double Exponential (DEMA for reduced lag), Smoothed (SMMA), or Butterworth 2-Pole filter (a low-lag recursive smoother approximating Ehlers' design for cleaner signals). Defaults use EMAs at lengths 6, 9, 21, 56, and 200—shorter for fast trends, longer for structure. Users enable/disable each independently.
Alignment Detection: For enabled MAs, it dynamically sorts them by length (shortest first) and checks their relative order: All ascending (shortest MA > longest) signals "Bullish" (uptrend strength); all descending signals "Bearish" (downtrend); otherwise "Mixed" or "Neutral" (if <2 MAs). This avoids bias from unsorted plots.
VWAP Integration: Computes session-anchored VWAP (daily/weekly/monthly) as a volume-weighted mean, classifying price as "Above" (bullish bias) or "Below" (bearish) to filter alignments—e.g., bullish MA stack above VWAP strengthens longs.
Multi-Timeframe Aggregation: Pulls MA and VWAP data from up to three timeframes (e.g., current, 5m, 15m) using secure requests without lookahead bias. It consolidates into a table: Per-TF rows show alignment status (with icons: ✅ Bullish, ❌ Bearish, ⚠️ Mixed, ➖ Neutral), VWAP icon/status (📈 Above, 📉 Below), current price, and optional MA values (e.g., "9 EMA: 1.2345").
Overall Summary: Counts bullish/bearish TFs for a net score (e.g., 2/3 bullish = "Weak Bullish"), highlighting confluence in the final row.
This setup emphasizes regime detection: Aligned short-term MAs confirm momentum, while longer ones validate structure, all filtered by VWAP for volume context.
Why This Adds Value & Originality
Standard MA crossovers or ribbons often clutter charts or require manual TF switches, leading to analysis fatigue. Here, the mashup of diverse MA types (e.g., lag-reduced DEMA with smooth Butterworth) into a sortable alignment check creates a "trend thermometer" that's adaptable—e.g., EMAs for responsiveness in forex, SMAs for stocks. The VWAP layer adds a fair-value anchor absent in pure MA tools, while the dashboard condenses MTF data into one glanceable view with a net score, reducing cognitive load. It's not a simple merge: Dynamic UDT-based sorting ensures consistent evaluation regardless of user tweaks, and optional value display aids precise level targeting. This makes it uniquely practical for confluence trading, evolving basic alignment into a scannable system without repainting risks.
How to Use
Setup: Add to your chart (overlay=true). In inputs: Enable TFs (e.g., 1H for structure, 15m/5m for entries); customize MAs (e.g., switch to DEMA for volatile crypto); set VWAP anchor (Daily for intraday). Toggle table position/size and chart plots.
Interpret the Dashboard (top-right default):
Per-TF Rows: Green cells for Bullish (long bias); red for Bearish (short); orange for Mixed (caution); gray for Neutral/low data. Check VWAP for confirmation—e.g., Bullish + Above = strong buy setup.
MA Values Column (if enabled): Lists current levels (e.g., "21 EMA: 4500.50") for support/resistance pulls.
Overall Row: "Strong Bullish" (all green) for aggressive longs; "Weak" variants for scaled entries. Score like "2/3" shows TF agreement.
Trading Application: On a 1H chart, look for 3/3 Bullish with price above VWAP for longs—enter on pullback to shortest MA. Use alerts (e.g., "All Timeframes Bullish") for notifications. Best on liquid assets (e.g., EURUSD, SPX) across 15m-4H. Combine with price action for edges.
Customization Tips: Disable unused MAs to declutter; test Butterworth on noisy data for smoother aligns.
Limitations & Disclaimer
Alignments lag by MA lengths and TF resolutions, so they're directional filters—not precise entries (pair with candlesticks). VWAP resets on anchors, potentially skewing mid-session. In sideways markets, "Mixed" dominates—avoid forcing trades. No built-in risk management; backtest on your symbols (e.g., via Strategy Tester) to validate. Results use historical data without guarantees—markets evolve. Not financial advice; trade at your own risk. For feedback, comment publicly.1.1s
