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CREA Composite MA v3Here's a clean description you can use as the indicator's published description on PulseWire:
CREA Composite MA v3 — Multi-Layer Confluence Indicator
CREA Composite MA is a momentum and trend confluence engine disguised as a moving average. Rather than plotting a single indicator, it combines seven sub-indicators into one normalised 0–100 composite score, then runs that score through three layers of confirmation before generating a signal.
The seven components:
EMA Bias (EMA10/20 stack and price position)
MFI (Money Flow Index)
ADX with +DI/−DI directional spread
Volatility (inverse ATR%, environment-adjusted)
Delta (candle body direction and size)
Volume (Z-score, directionally weighted)
Momentum (Rate of Change, normalised)
Each component is independently normalised to 0–100. Scores above 50 are bullish, below 50 are bearish. All weights are fully adjustable.
Three confirmation layers:
Layer 1 — Component agreement: counts how many of the 7 sub-indicators individually agree with the direction. A composite score of 65 built on 6/7 components is treated differently from one built on 2 components spiking hard.
Layer 2 — HTF filter: rebuilds the full composite on a user-selected higher timeframe (default 15m) and gates signals accordingly. Bull signals are suppressed when the HTF composite is bearish, and vice versa. The HTF line is plotted directly on the pane so both timeframes are visible simultaneously.
Layer 3 — Score velocity: measures the 3-bar rate of change of the composite itself. A rising score carries more weight than a flat one at the same level.
Two-tier signal system:
EARLY (yellow) — fires on signal line crossover when ≥4/7 components agree and HTF is aligned. Appears before the threshold is reached, giving advance warning of a potential confirmed signal.
CONFIRMED (green/red) — fires on threshold cross when ≥5/7 components agree and HTF is aligned. Labelled with confidence tier (HIGH / MED / LOW) and agreement count (e.g. BULL HIGH 6/7).
BLOCKED (gray) — threshold was crossed but confirmation gates rejected it. Useful for auditing filter performance.
Confidence tiers:
HIGH — 6–7 components agree + velocity moving in signal direction
MED — 5+ components agree
LOW — 4+ components agree
HUD table (bottom-right) shows all seven component scores in real time, color-coded by strength, alongside the composite score, HTF score and bias, confidence tier, and velocity direction.
7 alert conditions included: Early Bull/Bear, Confirmed Bull/Bear, Blocked Bull/Bear, and HIGH Confidence.
All lengths, weights, thresholds, and filter settings are fully configurable via the settings panel. Indicator
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SQZ Pro JS [MTF + ADX + Divergencias + Giros]El ecosistema definitivo del Squeeze Momentum. Basado en la estrategia clásica del Squeeze, este indicador ha sido reconstruido desde cero para traders exigentes que buscan precisión matemática y gráficos extremadamente limpios. Hemos eliminado el "ruido" y las señales falsas para centrarnos en lo que realmente importa: la fuerza de la tendencia, la alineación de temporalidades y las divergencias estructurales.
🎯 CARACTERÍSTICAS PRINCIPALES:
1. Motor de Divergencias PRO (Lógica de Olas)
Olvídate de las divergencias falsas causadas por pequeños baches en el precio. Este indicador utiliza un rastreador de "Olas" (Wave Tracker) que identifica el pico absoluto de la fuerza compradora/vendedora y lo compara estrictamente con la ola anterior.
Regla de Cero Estricta: Las divergencias alcistas solo se calculan en la zona roja (valles) y las bajistas en la zona verde (picos). Trazado limpio "de palo a palo".
2. Panel Dinámico Multi-Timeframe (MTF)
Un monitor lateral que te permite escanear el mercado desde 5 Minutos hasta Mensual. La tabla es inteligente: su tamaño se adapta dinámicamente según las temporalidades que actives.
Para cada temporalidad, el panel analiza simultáneamente:
La dirección del Squeeze.
La fuerza de la tendencia (Filtro ADX y cruces DI+/DI- integrados matemáticamente).
Eventos en tiempo real (Giros de color y cruces de la línea cero).
3. Señales Verticales de Precisión (Sin ensuciar el gráfico)
El indicador traza líneas verticales directamente en tu gráfico solo en la temporalidad en la que te encuentras, marcando los momentos críticos:
Giro Buy / Sell: Cuando el momentum cambia de dirección perdiendo fuerza.
Cruce 0 UP / DN: Cuando el momentum cruza la línea cero confirmando el cambio de bando.
Totalmente personalizables: Elige el grosor, color y estilo (línea sólida, punteada o discontinua) para adaptar el gráfico a tu estilo visual.
4. Estética "Clean Chart" (Cero distracciones)
Diseñado para no estorbar.
El Momentum se muestra en formato de columnas limpias (Verde oscuro para fuerza creciente, Rojo para fuerza decreciente).
Elementos secundarios como el ADX, las líneas DI o los puntos del Squeeze (dots) vienen ocultos de fábrica para mantener el gráfico puro, aunque su matemática sigue trabajando en segundo plano para la tabla MTF.
Las etiquetas molestas de la escala de precios han sido desactivadas por defecto.
💡 CÓMO UTILIZARLO:
El Panel (El Bosque): Utiliza la tabla MTF para confirmar que las temporalidades mayores (ej. Diario y 4H) están alineadas en la misma dirección (Fuerza + ADX).
El Histograma (El Árbol): Busca entradas en tu temporalidad operativa cuando el histograma confirme un "Giro" a favor de la tendencia mayor, o cuando detecte una Divergencia Pro confirmada.
⚙️ CONFIGURACIÓN DE FÁBRICA:
El indicador viene pre-configurado para operar "Out of the box" con colores intuitivos y sensibilidad profesional, pero ofrece control absoluto en sus ajustes para activar temporalidades menores (5m, 15m, 30m), mostrar las líneas del ADX o ajustar los periodos del canal de Keltner y las Bandas de Bollinger.
(Descargo de responsabilidad: Este indicador es una herramienta de análisis técnico y no constituye asesoramiento financiero. Úsalo en confluencia con tu propia gestión de riesgo). Indicator
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Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation Strategy
Indicator
AI Oversold Swing - Screener//@version=5
indicator("AI Oversold Swing - Screener", overlay=false)
// ─────────────────────────
// USER INPUTS
// ─────────────────────────
maxPrice = input.float(75.0, "Max Price ($)")
rsiLen = input.int(14, "RSI Length")
rsiOversold = input.float(35.0, "RSI Oversold Level")
bbLen = input.int(20, "BB Length")
bbMult = input.float(2.0, "BB StdDev")
supportLen = input.int(20, "Support Lookback (days)")
nearSupportPct = input.float(1.5, "Near Support %")
undercutPct = input.float(0.5, "Allowed Undercut %")
atrLen = input.int(14, "ATR Length")
maxATRfromSup = input.float(1.0, "Max ATR From Support")
minDollarVol = input.float(75000000.0, "Min Dollar Volume", step=1000000)
requireTrigger = input.bool(false, "Require Reversal Trigger")
// ─────────────────────────
// DAILY DATA (screener uses indicator outputs)
// ─────────────────────────
dClose = request.security(syminfo.tickerid, "D", close)
dLow = request.security(syminfo.tickerid, "D", low)
dVol = request.security(syminfo.tickerid, "D", volume)
dPrevC = request.security(syminfo.tickerid, "D", close )
// ─────────────────────────
// INDICATORS
// ─────────────────────────
rsi = ta.rsi(dClose, rsiLen)
basis = ta.sma(dClose, bbLen)
dev = bbMult * ta.stdev(dClose, bbLen)
bbLow = basis - dev
atr = request.security(syminfo.tickerid, "D", ta.atr(atrLen))
support = ta.lowest(dLow, supportLen)
distPct = support > 0 ? (dClose - support) / support * 100.0 : na
distATR = atr > 0 ? (dClose - support) / atr : na
dollarVol = dClose * dVol
// ─────────────────────────
// CONDITIONS
// ─────────────────────────
priceOK = dClose > 0 and dClose <= maxPrice
liqOK = dollarVol >= minDollarVol
oversold = (rsi <= rsiOversold) and (dClose <= bbLow)
nearSup =
support > 0 and
dClose <= support * (1 + nearSupportPct / 100.0) and
dClose >= support * (1 - undercutPct / 100.0) and
distATR <= maxATRfromSup
setup = priceOK and liqOK and oversold and nearSup
// Optional reversal confirmation
rsiReversal = ta.crossover(rsi, rsiOversold)
greenCandle = dClose > dPrevC
trigger = rsiReversal or greenCandle
signal = requireTrigger ? (setup and trigger) : setup
// ─────────────────────────
// SCREENER OUTPUTS
// ─────────────────────────
plot(signal ? 1 : 0, title="Signal (1 = YES)")
plot(rsi, title="RSI (Daily)")
plot(distPct, title="Dist to Support % (Daily)")
plot(distATR, title="Dist to Support ATR (Daily)")
plot(dollarVol, title="Dollar Volume (Daily)")
Indicator
FluidFlow OscillatorFluidFlow Oscillator: Study Material for Traders
Overview
The FluidFlow Oscillator is a custom technical indicator designed to measure price momentum and market flow dynamics by simulating fluid motion concepts such as velocity, viscosity, and turbulence. It helps traders identify potential buy and sell signals along with trend strength, momentum direction, and volatility conditions.
This study explains the underlying calculation concepts, signal logic, visual cues, and how to interpret the professional dashboard table that summarizes key indicator readings.
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How the FluidFlow Oscillator Works
Core Mechanisms
1. Price Flow Velocity
o Measures the rate of change of price over a specified flow length (default 40 bars).
o Calculated as a percentage change of closing price: roc=close−closelen_flowcloselen_flow×100\text{roc} = \frac{\text{close} - \text{close}_{len\_flow}}{\text{close}_{len\_flow}} \times 100roc=closelen_flowclose−closelen_flow×100
o Smoothed by an EMA (Exponential Moving Average) to reduce noise, generating a "flow velocity" value.
2. Viscosity Factor
o Analogous to fluid viscosity, it adjusts the flow velocity based on recent price volatility.
o Volatility is computed as the standard deviation of close prices over the flow length.
o The viscosity acts as a damping factor to slow down the flow velocity in highly volatile conditions.
o This results in a "flow with viscosity" value, that smooths out the velocity considering market turbulence.
3. Turbulence Burst
o Captures sudden changes or bursts in the flow by measuring changes between successive viscosity-adjusted flows.
o The turbulence value is a smoothed absolute change in flow.
o A burst boost factor is added to the oscillator to incorporate this rapid change component, amplifying signals during sudden shifts.
4. Oscillator Calculation
o The raw oscillator value is the sum of flow with viscosity plus burst boost, scaled by 10.
o Clamped between -100 and +100 to limit extremes.
o Finally, smoothed again by EMA for cleaner visualization.
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Signal Logic
The oscillator works with complementary components to produce actionable signals:
• Signal Line: An EMA-smoothed version of the oscillator for generating crossover-based signals.
• Momentum: The rate of change of the oscillator itself, smoothed by EMA.
• Trend: Uses fast (21-period EMA) and slow (50-period EMA) moving averages of price to identify market trend direction (uptrend, downtrend, or sideways).
Signal Conditions
• Bullish Signal (Buy): Oscillator crosses above the oversold threshold with positive momentum.
• Bearish Signal (Sell): Oscillator crosses below the overbought threshold with negative momentum.
Statuses
The oscillator provides descriptive market states based on level and momentum:
• Overbought
• Oversold
• Buy Signal
• Sell Signal
• Bullish / Bearish (momentum-driven)
• Neutral (no clear trend)
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Color System and Visualization
The oscillator uses a sophisticated HSV color model adapting hues according to:
• Oscillator value magnitude and sign (positive or negative)
• Acceleration of oscillator changes
• Smooth color gradients to facilitate intuitive understanding of trend strength and momentum shifts
Background colors highlight overbought (red tint) and oversold (green tint) zones with transparency.
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How to Understand the Professional Dashboard Table
The FluidFlow Oscillator offers an integrated table at the bottom center of the chart. This dashboard summarizes critical indicator readings in 8 columns across 3 rows:
Column Description
SIGNAL Current signal status (e.g., Buy, Sell, Overbought) with color coding
OSCILLATOR Current oscillator value (-100 to +100) with color reflecting intensity and direction
MOMENTUM Momentum bias indicating strength/direction of oscillator changes (Strong Up, Up, Sideways, Down, Strong Down)
TREND Current trend status based on EMAs (Strong Uptrend, Uptrend, Sideways, Downtrend, Strong Downtrend)
VOLATILITY Volatility percentage relative to average, indicating market activity level
FLOW Flow velocity value describing price momentum magnitude and direction
TURBULENCE Turbulence level indicating sudden bursts or spikes in price movement
PROGRESS Oscillator's position mapped as a percentage (0% to 100%) showing proximity to extreme levels
Rows Explained
• Row 1 (Header): Labels for each metric.
• Row 2 (Values): Current numerical or descriptive values color-coded along a professional scheme:
o Green or lime tones indicate positive or bullish conditions.
o Red or orange tones indicate caution, sell signals, or bearish conditions.
o Blue tones indicate neutral or stable conditions.
• Row 3 (Status Indicators): Emoji-like icons and bars provide a quick visual gauge of each metric's intensity or signal strength:
o For example, "🟢🟢🟢" suggests very strong bullish momentum, while "🔴🔴🔴" suggests strong bearish momentum.
o Progress bar visually demonstrates oscillator movement toward oversold or overbought extremes.
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Practical Interpretation Tips
• A Buy signal with green colors and strong momentum usually precedes upward price moves.
• An Overbought status with red background and red table colors warns of potential price corrections or reversals.
• Watch the Turbulence to gauge market instability; spikes may precede price shocks or volatility bursts.
• Confirm signals with the Trend and Momentum columns to avoid false entries.
• Use the Progress bar to anticipate oscillations approaching key threshold levels for timing trades.
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Alerts
The oscillator supports alerts for:
• Buy and sell signals based on oscillator crossovers.
• Overbought and oversold levels reached.
These help traders automate awareness of important market conditions.
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Disclaimer
The FluidFlow Oscillator and its signals are for educational and informational purposes only. They do not guarantee profits and should not be considered as financial advice. Always conduct your own research and use proper risk management when trading. Past performance is not indicative of future results.
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This detailed explanation should help you understand the workings of the FluidFlow Oscillator, its components, signal logic, and how to analyze its professional dashboard for informed trading decisions.
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