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55 Moving Average Fan EMA 26/55/100/200 fan system. Cross signals, fan-out detection, EMA 55 retest entries, 200 EMA as invalidation line.
Three states: stacked bull (26>55>100>200, fanned out by min %), stacked bear (mirror), neutral. EMA 55 retests in a fanned bull state are buy opportunities; 200 EMA = SL invalidation.
How to use:
Best on daily ; also works on 4H
Look for "Cross up/down" labels at EMA 26/55 crosses
After fan-out, dip to EMA 55 = entry (triangle up/down marker)
SL below EMA 200 in bull regime, above in bear
Alerts: 26/55 Cross Up/Down, 55 Retest Buy/Sell, Bull/Bear Fan-out. Penunjuk
Regime Execution Strategy [JOAT]Regime Execution Strategy
Introduction
Regime Execution Strategy is an open-source TradingView strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol.
The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing.
Core Concepts
1. Adaptive Forecast Bias
The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias.
2. Extreme Channel Bias
Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote.
3. Pressure and Structure Gate
Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry.
longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim)
4. ATR-Based Risk Management
Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls.
Features
Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score
Multi-vote entry logic: Entries require several independent components to align
More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes
ATR stop and target: Risk is framed with volatility-adjusted exits
Bias-flip exits: Positions can close when the opposing regime gains enough votes
Risk controls: Max drawdown and max intraday filled orders are included
Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart
Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup
Alerts: Long and short setup events
Input Parameters
Forecast:
Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval
Regime:
Fast EMA and Slow EMA: Trend structure references
Pressure Length: Momentum and pullback window
Pressure Threshold: Minimum pressure vote threshold
Min RVOL: Participation filter
Min Votes: Minimum number of aligned components for entries
Risk:
Stop ATR: Stop distance multiplier
Target ATR: Target distance multiplier
Max Drawdown %: Strategy risk halt setting
Max Intraday Filled Orders: Limits daily trade frequency
How to Use This Strategy
Step 1: Read the dashboard regime before judging entries.
Step 2: Use votes and pressure to understand why a setup qualified.
Step 3: Review stop and target settings for the symbol and timeframe being tested.
Step 4: Evaluate results across multiple markets and date ranges, not one optimized window.
Strategy Limitations
This strategy is not optimized for a specific symbol or timeframe
More active defaults can increase trade count and also increase exposure to choppy periods
Backtest fills are simulated by TradingView and may not match live execution
All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun
Strategy performance should be evaluated with realistic commission, slippage, and position sizing
Originality Statement
Regime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code.
Disclaimer
This open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management.
-Made with passion by jackofalltrades
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GLI Trend Analysis | Astral Vision GLI Trend Analysis | Astral Vision 🌠💠
This indicator plots the Global Liquidity Index and its exponential moving average, using the EMA crossover as a directional trend signal for the global monetary environment. The GLI is constructed from the same comprehensive 21-source aggregation used across the Astral Vision liquidity suite: 17 major central bank balance sheets converted to USD via live FX rates, minus the Fed's non-stimulative liabilities (Reverse Repo Facility and Treasury General Account), plus M2 money supply for the US, EU, China, and Japan.
Calculation ⚙️
The GLI is computed as:
Fed balance sheet, minus RRP (Reverse Repo: overnight cash parked at the Fed by money market funds, which drains liquidity from the financial system), minus TGA (Treasury General Account: the US government's cash balance at the Fed, which also drains liquidity when it grows), plus the balance sheets of the Bank of Japan, People's Bank of China, Bank of England, ECB, Reserve Bank of India, Bank of Canada, Reserve Bank of Australia, Swiss National Bank, Central Bank of Russia, Central Bank of Brazil, Bank of Korea, Reserve Bank of New Zealand, Sveriges Riksbank, and Bank Negara Malaysia, each converted to USD by multiplying by the corresponding live FX rate, plus M2 money supply for the US, EU (converted via EURUSD), China (converted via CNYUSD), and Japan (converted via JPYUSD).
The subtraction of RRP and TGA from the Fed balance sheet is a critical correction absent from simpler GLI implementations. The Fed's balance sheet includes liabilities that do not actually inject money into the financial system: when RRP balances are high, money market funds are lending cash back to the Fed overnight, effectively withdrawing it from circulation. Similarly, a growing TGA means the government is holding more cash at the Fed rather than spending it into the economy. Subtracting both produces a more accurate measure of net liquidity actually available to financial markets.
An EMA of configurable length is applied to the resulting GLI series. When GLI is above its EMA, global liquidity is in an uptrend relative to its own smoothed baseline, historically associated with expanding risk appetite and upward pressure on Bitcoin and other risk assets. When GLI is below its EMA, the trend is contractionary.
Both the GLI line and the background color on the price chart are shifted forward in time by a configurable offset in bars, operationalizing the empirically documented lead-lag relationship between global liquidity inflections and Bitcoin price response.
Plots 📊
GLI line colored by its position relative to the EMA, shifted forward by the configurable offset
EMA line as a neutral reference
Background color on the price chart reflecting GLI trend direction, shifted forward by the same offset
Inputs 🎛️
EMA Length: smoothing period for the GLI trend baseline
Lead Offset: bars to shift both the GLI signal and the background color forward in time
Colors 🎨
5 Astral Vision presets + custom override. Default: Infinito.
Purpose 🎯
A standard EMA crossover applied to Bitcoin price measures Bitcoin's own momentum without any external reference. This indicator applies the same crossover logic to global central bank liquidity, producing a regime signal that is causally upstream of Bitcoin price rather than derived from it. The forward shift separates this tool from coincident liquidity indicators by explicitly positioning the signal as a leading reference, reflecting the time lag between liquidity creation and its transmission into asset prices. The RRP and TGA correction further distinguishes it from simpler GLI charts available elsewhere, which overstate liquidity by including Fed liabilities that do not reach financial markets.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Penunjuk
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Mean Reversion at or under 200MAThis strategy is based on the 30 minute of the S&P futures chart, MES
A Long Buy will be executed if, the EMA 9 or price comes down to or under the 200 MA, AND THEN the slope of the ema 9 subsequently changes from negative to positive.
The buy will be executed either; at a retest of the local lows (defined by the lowest wick between the most recent red candle that is subsequently followed by a green candle) (a retest is defined as 70% retrace from the local highs (inversely defined from local lows) to the local lows), or if a retest of the lows fails to occur, a market order will be executed at the local highs.
With a fixed position size of 10 contracts, the take profits will be established as such; 2 contracts sold up 6 points of profit, the next two will be sold up 10 points of profit, and the remaining 2 contracts will be sold for 20 points of profit. As soon as the first trim is made, a stop loss is placed at break even. Further, as soon as the second trim is made, the stop loss will be moved to +5 profit points.
In the instance that the ema 9 returns to downward sloping, stop orders will be executed. This will trigger sells either at local lows or local highs.
Kind of just made this for a class project, but the logic is sound, and the results are formidable thus far - enjoy :) Strategi
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Psycho Flip - Stiletto Ops - Ladies EditionTITLE: Psycho Flip - Stiletto Ops
DESCRIPTION:
The Psycho Flip - Stiletto Ops is a technical utility script that combines volatility tracking, volume-weighted analysis, and price action filters into a single indicator. Its primary purpose is to help traders visually differentiate between low-liquidity consolidation and volume-backed momentum, while identifying structural exhaustion points.
To comply with script publishing guidelines, here is the explicit breakdown of the underlying calculations and methodology:
1. Volatility & Compression Filtering (Grey-Out Feature)
Methodology: The script calculates a standard 14-period Average True Range (ATR) and smooths it using a 50-period Simple Moving Average (SMA). Simultaneously, it tracks standard volume against a 50-period Volume SMA.
Execution: When the current bar's volume is below the 50-Volume SMA, AND the current 14-ATR is below the 50-ATR SMA, the script alters the bar color to grey. This visually indicates a statistically low-volatility and low-liquidity market environment.
2. Momentum Identification (Bounding Boxes)
Methodology: The script scans for significant momentum expansion using a dual-condition threshold.
Execution: A bounding box is plotted over the candles only when current volume exceeds the 50-period Volume SMA by a factor of 2.0x or higher, AND the current candle's directional body (open to close) accounts for at least 60% of its total high-low range. This isolates bars with both high participation and directional conviction.
3. Dynamic Anchored VWAP
Methodology: Rather than anchoring to a fixed time or session, the script utilizes a dynamic accumulator for volume and price.
Execution: When the Momentum Identification conditions (Step 2) are met, the script automatically resets its anchor. It plots a live Volume Weighted Average Price (VWAP) originating from that specific high-volume expansion bar, tracking the average cost-basis of the resulting price movement.
4. Exhaustion Detection (Text Labels)
Methodology: The script utilizes a 5-bar lookback period (ta.highest and ta.lowest) to identify local structural extremes.
Execution: If price forms a new local high or low, the script evaluates the candle's profile. If the candle is a Doji (where the body is less than 35% of the total range) AND the volume is below the 50-period Volume SMA, the script prints a text label above/below the bar. This highlights a structural extreme forming on below-average market participation. Note: The UI contains a thematic setting ("Queen Bee") that alters the text of these standard alerts for behavioral finance tracking.
HOW TO USE:
Trend Context: Utilize the Auto-Anchored VWAP line as dynamic support/resistance.
Filter Consolidation: Use the grey-colored bars to identify periods where volatility is statistically compressed.
Exhaustion Flags: Use the text labels at local highs/lows to identify potential reversal points forming on low volume.
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KOTANJAN HYPERMATRIX X(English Description)
KOTANJAN HYPERMATRIX X is a multi-layered market structure engine designed to analyze price behavior through a composite of momentum, volume, volatility, trend strength, and compression-expansion cycles.
Unlike traditional indicators that rely on a single mathematical model (such as RSI, MACD, or moving averages), this system integrates multiple independent market dimensions into one unified state engine.
CORE COMPONENTS
The system is built on six primary normalized market vectors:
ATR (Average True Range): Measures market movement intensity and volatility expansion.
Delta (Price Change Flow): Captures immediate directional pressure between candles.
OBV (On-Balance Volume): Tracks volume-driven capital flow into or out of price movement.
Momentum (ROC): Measures acceleration or deceleration of price movement.
Volatility Ratio: Identifies market instability relative to its own baseline behavior.
Trend Differential: Measures short-term directional bias using EMA spread structure.
These six components form the Market Matrix Core, representing the raw energy structure of price behavior.
FLOW STRUCTURE ENGINE
In addition to the matrix core, a secondary flow engine evaluates:
Multi-candle directional alignment (3-candle flow system)
Volume spike detection relative to dynamic average
Compression detection based on range contraction
This allows the system to distinguish between:
accumulation phases
breakout preparation phases
directional continuation phases
ADVANCED CONFIRMATION LAYER (KOTANJAN SYSTEM)
The distinguishing element of this indicator is the KOTANJAN System Layer, which enhances probability accuracy by adding adaptive market filters:
ADX (Trend Strength Filter): Determines whether market movement is structurally valid or noise-driven.
MACD Histogram (Momentum Continuation): Confirms whether directional pressure is accelerating or weakening.
RSI (Exhaustion Filter): Identifies overbought/oversold zones and reduces probability distortion during extreme conditions.
These filters do not replace the core matrix. Instead, they act as a probability refinement layer that adjusts market bias based on structural confirmation.
MARKET STRUCTURE INTERPRETATION
KOTANJAN HYPERMATRIX X interprets market behavior as a dynamic system of:
Compression → low volatility, accumulation phase
Expansion → breakout or trend initiation
Extreme → potential exhaustion or reversal risk
This structure allows the system to detect hidden transitions that are not visible through single-indicator analysis.
PROBABILITY ENGINE
All components are merged into a unified scoring system that produces:
Bullish probability (%)
Bearish probability (%)
This is not a prediction model but a weighted state evaluation of current market conditions.
KEY DIFFERENCE
The main difference between KOTANJAN HYPERMATRIX X and traditional trading indicators is:
It does not analyze price as a single line.
Instead, it treats the market as a multi-dimensional energy system, combining:
price structure
volume flow
volatility compression
trend strength
momentum confirmation
into one unified behavioral engine.
🇹🇷 Türkçe Açıklama
KOTANJAN HYPERMATRIX X, piyasayı tek bir indikatör mantığıyla değil, çok katmanlı bir “piyasa durum motoru” olarak analiz eden gelişmiş bir yapı sistemidir.
Klasik indikatörler (RSI, MACD, MA vb.) sadece tek bir veri tipine odaklanırken, bu sistem fiyatı birçok farklı boyutta aynı anda değerlendirir.
TEMEL BİLEŞENLER
Sistem 6 ana normalize veri üzerinden çalışır:
ATR: Piyasanın hareket gücünü ve volatilite genişlemesini ölçer
Delta: Mumlar arası anlık yön baskısını gösterir
OBV: Hacim akışı ile para giriş/çıkışını takip eder
Momentum (ROC): Fiyat hızlanmasını veya yavaşlamasını ölçer
Volatilite Oranı: Piyasanın kendi ortalamasına göre dengesizliğini ölçer
Trend Farkı: EMA yapısı üzerinden kısa vadeli yön eğilimini belirler
Bu 6 veri birlikte Market Matrix Core yapısını oluşturur.
AKIŞ SİSTEMİ (FLOW ENGINE)
Bunun yanında ikinci bir yapı vardır:
3 mumluk yön akışı
hacim patlama tespiti
daralma (compression) analizi
Bu sayede sistem şunları ayırt edebilir:
birikim dönemleri
kırılım hazırlıkları
trend devam bölgeleri
KOTANJAN SİSTEM KATMANI (EN ÖNEMLİ FARK)
Bu indikatörü diğerlerinden ayıran en önemli bölüm KOTANJAN sistem katmanıdır.
Bu katmanda:
ADX: Trend gerçekten güçlü mü yoksa rastgele hareket mi?
MACD Histogram: Momentum devam ediyor mu yoksa zayıflıyor mu?
RSI: Aşırı alım / aşırı satım bölgelerinde risk filtresi
Bu üç yapı direkt olarak sinyal üretmez.
Sadece mevcut sistemi “doğrulayan veya zayıflatan” bir ağırlık mekanizması olarak çalışır.
MARKET YAPISI OKUMA MANTIĞI
Sistem piyasayı 3 temel fazda okur:
Compression (Daralma): düşük volatilite, birikim
Expansion (Genişleme): kırılım veya trend başlangıcı
Extreme (Aşırı durum): yorulma ve dönüş riski
Bu yapı sayesinde klasik indikatörlerde görülmeyen gizli geçişler yakalanır.
PROBABILITY MOTORU
Tüm sistem birleşerek:
Boğa yüzdesi
Ayı yüzdesi
üretir.
Bu değerler tahmin değil, mevcut piyasa durumunun ağırlıklı analiz sonucudur.
EN BÜYÜK FARK
KOTANJAN HYPERMATRIX X’in en önemli farkı şudur:
Fiyatı tek bir çizgi olarak analiz etmez.
Bunun yerine piyasayı:
fiyat yapısı
hacim akışı
volatilite daralma/genişleme
trend gücü
momentum doğrulaması
olarak çok boyutlu bir sistem şeklinde değerlendirir. Penunjuk
Elaris Smart Scalping IndicatorElaris Smart Scalping Indicator is a non-repainting trend and momentum scalping tool designed to help traders identify higher-quality buy and sell conditions using a structured confluence model.
The indicator combines EMA trend direction, RSI momentum, MACD histogram confirmation, volume strength, ATR volatility filtering, optional higher-timeframe bias, and session filtering into a clean signal-scoring system. Signals are confirmed only after candle close, helping reduce intrabar noise and repainting behavior.
It also includes visual TP/SL guide levels, trend background shading, buy/sell labels, alert conditions, and a compact dashboard showing trend state, HTF bias, RSI, ATR percentage, volume filter status, and signal score.
This tool is designed for scalping and short-term trading analysis across crypto, forex, indices, and other liquid markets. It is not financial advice and should be used with proper risk management and additional market context.
Key Features
Non-repainting confirmed buy/sell signals
EMA-based trend engine with adjustable strictness
RSI and MACD momentum confirmation
Optional higher-timeframe trend filter
Volume and ATR volatility quality filters
Optional session filter
Signal score system from 0–100
Visual entry, stop loss, TP1, and TP2 guide levels
Clean dashboard for live market state
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Aureon Pressure Lens [JOAT]Aureon Pressure Lens
Introduction
Aureon Pressure Lens is an open-source pressure oscillator designed to classify directional participation, conviction, and transition states in a separate pane. It blends price impulse, EMA structure, momentum, range location, candle body pressure, and relative volume into one bounded score.
The problem it solves is signal quality. A single oscillator can fire during weak, low-participation moves. Aureon Pressure Lens requires pressure, signal-line behavior, relative volume, and component consensus to align before confirmed buy or sell labels appear.
Core Concepts
1. Multi-Component Pressure Blend
The oscillator uses several independent inputs: impulse from prior price, fast/slow structural slope, normalized momentum, range position, and candle body direction.
2. Tanh Normalization
Each component is normalized into a stable bounded range so one volatile input does not dominate the entire reading.
pressureScore = f_tanh(pressureBlend * 1.60) * 100.0
signalLine = ta.ema(pressureScore, signalLength)
3. Consensus Filter
The confidence reading measures how closely the components agree. A signal must satisfy the minimum conviction threshold before it can print.
4. Relative Volume Participation
The script measures current volume against a moving average and uses that reading as a participation gate. The default is permissive enough for broad use while still filtering extremely quiet conditions.
Features
Separate-pane pressure score: Bounded -100 to +100 directional pressure reading
Signal line: Smoothed reference for pressure resets and crossovers
Gradient pressure color: Score color transitions between bearish, neutral, and bullish states
Pressure cloud: Optional fill between pressure and signal line
Confirmed BUY/SELL labels: Closed-bar events filtered by consensus and RVOL
Top-right dashboard: State, bias, pressure, signal, RVOL/conviction, and action
Alerts: Bullish and bearish confirmed pressure resets
Input Parameters
Calculation:
Core Lookback: Main analysis window for impulse and range context
Fast Lens / Slow Lens: EMA structure lengths
Signal Lens: Smoothing length for the signal line
Pressure Sensitivity: Normalization intensity
Min Relative Volume: Participation gate for labels
Min Conviction: Minimum component agreement required for labels
How to Use This Indicator
Step 1: Read the pressure score relative to zero.
Step 2: Use the cloud and signal line to identify pressure resets.
Step 3: Check dashboard conviction and RVOL before acting on labels.
Step 4: Combine with an overlay structure or regime tool for full chart context.
Indicator Limitations
The oscillator measures current pressure, not future price direction
Relative volume can behave differently on symbols with limited volume data
Choppy markets can create repeated signal-line crosses
Confirmed labels appear only after the bar closes
Originality Statement
Aureon Pressure Lens is original because it combines impulse, structure, momentum, range position, candle body pressure, relative volume, and component consensus into a single closed-bar pressure engine with a dedicated dashboard. It does not copy third-party source code.
Disclaimer
This open-source indicator is for educational and informational purposes only. It is not financial advice. Markets can change quickly, and no pressure reading guarantees a future move. Use risk controls and independent analysis.
-Made with passion by jackofalltrades
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ULTIMATE SMC BREAKOUT AIThis is a Pine Script v5 trading indicator named "ULTIMATE SMC BREAKOUT AI". Summary of what it does and how it works:
Purpose
Detects breakout entries aligned with trend, plots suggested entry, stop-loss and two take-profit levels, highlights order blocks, an equilibrium line, and potential reversal zones. Provides alert conditions for buy/sell breakouts and reversal zones.
User inputs (configurable)
Fast/slow EMA lengths (default 50, 200)
ATR length and SL multiplier (default ATR14, SL = 1.2 * ATR)
TP1 and TP2 risk-reward multipliers (default 1.5 and 3.0)
Confirmation bars (default 2)
Toggles to show EMAs, Order Blocks, Equilibrium, Reversal Zones
Core logic
Trend filter: computes fast and slow EMAs. upTrend if EMA_fast > EMA_slow and price > EMA_fast; downTrend if EMA_fast < EMA_slow and price < EMA_fast. EMAs plotted if enabled.
Market structure breakout: defines a 20-bar swing high/low. A bullish breakout is price > prior swingHigh; bearish breakout is price < prior swingLow. A breakout must persist for confirmBars to be considered confirmed.
Entry signals: buySignal requires confirmed bullish breakout + upTrend; sellSignal requires confirmed bearish breakout + downTrend. buyFinal/sellFinal are first-bar triggers (only on the breakout bar).
ATR-based SL/TP: uses ATR to set SL distance (SL = entry ± ATR * slATR). Risk = distance entry↔SL. TP1 and TP2 set at entry ± (risk * tpRR).
Labels: when buyFinal/sellFinal occur the script places an on-chart label with ENTRY, TP1, TP2 prices.
Additional plotted/annotated elements
Order Blocks: highlights single-bar bullish order blocks (prior bar bearish, current close > prior high) and bearish order blocks (prior bar bullish, current close < prior low) as semi-transparent green/red boxes extending ~15 bars forward.
Equilibrium zone: plots mid-price of 50-bar highest high and lowest low (a yellow line).
Predictive Reversal Zones: marks potential reversal boxes when:
Liquidity sweep detected (current high > highest high of 10 bars prior OR current low < lowest low of 10 bars prior),
RSI conditions (RSI > 75 for bearish reversal, RSI < 25 for bullish reversal),
Candle direction confirming (bearish candle for bearish reversal, bullish for bullish reversal). These draw colored boxes and labels for "REVERSAL BUY/SELL ZONE".
Background color: faint green for upTrend, faint red for downTrend.
Alerts
Built-in alertconditions for BUY SIGNAL, SELL SIGNAL, Bullish Reversal, Bearish Reversal (triggerable in TradingView alerts).
Practical notes / behavior
Breakouts use a 20-bar swing lookback and require confirmationBars (default 2) — shorter/longer confirmation changes sensitivity.
SL/TP are purely mechanical from ATR—no partial fills, order execution logic, or trade management beyond TP1/TP2 drawn.
Order blocks detection is simplistic (single-bar pattern) and not a complex multi-bar block identification.
Reversal zones use a combination of liquidity sweep + extreme RSI + candle direction; they are predictive markers, not guarantees.
Designed for overlay on price; many plotted boxes/labels may clutter smaller timeframes or active instruments. Penunjuk
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