Price Ratio of Two StocksFormula that plots the price ratio between two stocks.
Price ratio defined as: Price of stock 1/Price of stock 2
If the ratio increases, it means stock 1 is becoming more expensive relative to stock 2, and vice versa.
Penunjuk dan strategi
Pivots @carlosk26🔍 Características Principales
Detección de Pivots:
Identifica pivots altos y bajos utilizando un rango de velas configurable.
Los pivots se detectan cuando una vela es el máximo o mínimo de un número específico de velas a la izquierda y a la derecha.
Marcado Visual:
Los pivots altos se marcan con un círculo rojo encima de la vela.
Los pivots bajos se marcan con un círculo verde debajo de la vela.
Etiquetas Informativas:
Muestra una etiqueta en el gráfico con el último pivot detectado.
Las etiquetas incluyen el tipo de pivot (alto o bajo) y su ubicación exacta.
⚙️ Parámetros Configurables
Velas a la izquierda: Número de velas a la izquierda para detectar un pivot (por defecto: 5).
Velas a la derecha: Número de velas a la derecha para detectar un pivot (por defecto: 5).
Advanced Multi-Strategy Trading SystemTrade with the trend: The strategy uses EMAs, RSI, and MACD to identify the trend and momentum, helping you enter trades that align with the broader market movement.
Risk management: You can control your risk with dynamic position sizing, stop loss, and take profit levels. The trailing stop ensures that you lock in profits as the market moves in your favor.
Strategy Execution: When the buy or sell signals appear, the strategy will automatically enter trades for you. The script calculates optimal position sizes and manages the trades based on your predefined risk parameters.
Ali's Favor We are analyzing the 200 SMA, 45 EMA, and 21 EMA to assess market trends. A color-shaded area between the 200 SMA and 45 EMA helps determine whether the trend is bullish (long) or bearish (short).
* Yellow shading signals potential high-momentum moves, highlighting key market activity.
* Green/Red shading indicates a clear directional trend when no transition zone is present.
* A candle indicator (Hammer, Elephant, or 3-Bar) can be toggled on or off for additional insights.
* The 21 EMA plays a crucial role in this strategy, helping to identify optimal entry points when price action interacts with it.
Why 21 you ask?
1. Captures Short-to-Medium-Term Trends
The 21 EMA strikes a balance between short-term (e.g., 9 EMA) and longer-term (e.g., 50 or 200 EMA) trends, making it effective for identifying momentum shifts in various timeframes.
2. Acts as Dynamic Support & Resistance
Many traders watch the 21 EMA as a key decision-making level. When price approaches this moving average:
Uptrend: It often acts as support, providing potential long entry points.
Downtrend: It serves as resistance, indicating possible short opportunities.
3. Used in Momentum-Based Trading Strategies
Professional traders and algos use the 21 EMA to measure momentum. A strong trend often sees price bouncing off the 21 EMA before continuing in the same direction.
4. Works Well with Other EMAs
When paired with other EMAs (like the 45 EMA or 200 SMA), the 21 EMA helps determine:
Trend strength (if price holds above/below it)
Reversal zones (when price deviates far from it)
Breakout confirmation (if price reclaims it after consolidation)
Time Frame:
this can be used with any timeframe because becuase its really just using 21 ema
Other Highlights of 21:
* Triangular Number: 21 is the sum of the first six natural numbers (1+2+3+4+5+6 = 21), making it a triangular number, which appears in many natural patterns.
* Fibonacci Connection: 21 is part of the Fibonacci sequence (0, 1, 1, 2, 3, 5, 8, 13, 21...), a key mathematical pattern found in nature.
* Human Development: It takes approximately 21 days to form a new habit, based on research in psychology and behavioral science.
* Biology: The average human cell cycle lasts about 21 hours, affecting how cells grow and regenerate.
* The Sun moves into a new zodiac sign around the 21st of each month
* 21-Gun Salute: A symbol of high honor in military traditions.
* In numerology, 21 represents success, completion, and transformation.
* Bible & Other Texts: The number appears in religious contexts, symbolizing divine wisdom or judgment.
* Blackjack: The goal of the game is to reach 21.
* The game "21" is a popular street basketball game that helps players develop individual skills
All praise to the Most High, Yahweh, the Creator of all things! 🙌🏽✨
Yahweh's wisdom is seen in everything—from the patterns in nature to the cycles in life and markets. Even numbers like 21, which hold deep mathematical and spiritual significance, are part of His divine order.
If you ever want to explore biblical insights, financial wisdom from scripture, or how faith connects with your trading and decision-making, let me know! Blessings to you! 🙏🏽🔥
Buy/Sell AlgoThis script is an advanced trading software that harnesses real-time price data to provide the most accurate and timely buy signals:
📊 Real-Time Data: Continuously processes live market data to track price movements and identify key trends.
🔄 Advanced Algorithm: Leverages a dynamic crossover strategy between two moving averages (9-period short MA and 21-period long MA) to pinpoint optimal entry points with precision.
📍 Buy Signals: Automatically generates “BUY” signals when the short-term moving average crosses above the long-term moving average, reflecting a high-probability trend reversal to the upside.
🟩 Visual Indicators: Candle bars are dynamically colored green during bullish signals, providing clear visual confirmation for buyers.
Multi-SMA (10 21 50 200 300)Displays 10, 21, 50, 200, and 300-period Simple Moving Averages on the chart.
EMA50150 with SMA150 Stop-loss and Re-Entry #gangesThis strategy is a trading system that uses Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to determine entry and exit points for trades. Here's a breakdown of the key components and logic:
Key Indicators:
EMA 50 (Exponential Moving Average with a 50-period window): This is a more responsive moving average to recent price movements.
EMA 150 (Exponential Moving Average with a 150-period window): A slower-moving average that helps identify longer-term trends.
SMA 150 (Simple Moving Average with a 150-period window): This acts as a stop-loss indicator for long trades.
User Inputs:
Start Date and End Date: The strategy is applied only within this date range, ensuring that trading only occurs during the specified period.
Trade Conditions:
Buy Signal (Long Position):
A buy is triggered when the 50-period EMA crosses above the 150-period EMA (indicating the price is gaining upward momentum).
Sell Signal (Short Position):
A sell is triggered when the 50-period EMA crosses below the 150-period EMA (indicating the price is losing upward momentum and moving downward).
Stop-Loss for Long Positions:
If the price drops below the 150-period SMA, the strategy closes any long positions as a stop-loss mechanism to limit further losses.
Re-Entry After Stop-Loss:
After a stop-loss is triggered, the strategy monitors for a re-entry signal:
Re-buy: If the price crosses above the 150-period EMA from below, a new long position is triggered.
Re-sell: If the 50-period EMA crosses below the 150-period EMA, a new short position is triggered.
Trade Execution:
Buy or Sell: The strategy enters trades based on the conditions described and exits them if the stop-loss conditions are met.
Re-entry: After a stop-loss, the strategy tries to re-enter the market based on the same buy/sell conditions.
Risk Management:
Commission and Slippage: The strategy includes a 0.1% commission on each trade and allows for 3 pips of slippage to account for real market conditions.
Visuals:
The strategy plots the 50-period EMA (blue), 150-period EMA (red), and 150-period SMA (orange) on the chart, helping users visualize the key levels for decision-making.
Date Range Filter:
The strategy only executes trades during the user-defined date range, which helps limit trades to a specific period and avoid backtesting errors on irrelevant data.
Stop-Loss Logic:
The stop-loss is triggered when the price crosses below the 150-period SMA, closing the long position to protect against significant drawdowns.
Overall Strategy Goal:
The strategy aims to capture long-term trends using the EMAs for entry signals, while protecting profits through the stop-loss mechanism and offering a way to re-enter the market after a stop-loss.
Advanced Order Blocks with VolumeAdvanced Order Blocks with Volume Indicator
This professional-grade indicator combines order block detection with sophisticated volume analysis to identify high-probability trading opportunities. It automatically detects and displays bullish and bearish order blocks formed during consolidation periods, enhanced by three distinct volume calculation methods (Simple, Relative, and Weighted).
Key Features:
- Smart consolidation detection with customizable thresholds
- Volume-filtered order blocks to avoid false signals
- Automatic order block mitigation tracking
- Clear visual presentation with volume metrics
- Flexible customization options for colors and parameters
Settings:
Core Parameters:
- Consolidation Threshold %: Sets the maximum price range (0.1-1.0%) for detecting consolidation zones
- Lookback Period: Number of bars (2-10) to analyze for consolidation patterns
Volume Analysis:
- Volume Calculation Method: Choose between Simple (basic average), Relative (compared to average), or Weighted (prioritized recent volume)
- Volume Lookback Period: Historical bars (5-100) used for volume analysis
- Volume Threshold Multiplier: Minimum volume requirement (1.0-5.0x) for valid order blocks
Visual Settings:
- Bullish/Bearish OB Color: Background colors for order blocks
- Bullish/Bearish OB Text Color: Colors for volume information display
Perfect for traders focusing on institutional price levels and volume-based trading strategies. The indicator helps identify potential reversal zones with strong institutional interest, validated by significant volume conditions.
SPDR Sectors█ OVERVIEW
This script is an interactive and customizable SPDR Sectors Indicator designed to monitor and analyze the performance of the 11 main sectors of the S&P 500 using sector-specific ETFs. The script provides a dynamic table for tracking daily or periodic sector movements, making it an essential tool for traders, analysts, and investors implementing sector rotation strategies.
█ DEFINITIONS
SPDR Sectors ETFs are exchange-traded funds managed by State Street Global Advisors that divide the S&P 500 into the following 11 sectors:
- Communication Services (XLC)
- Consumer Discretionary (XLY)
- Consumer Staples (XLP)
- Energy (XLE)
- Financials (XLF)
- Health Care (XLV)
- Industrials (XLI)
- Materials (XLB)
- Real Estate (XLRE)
- Technology (XLK)
- Utilities (XLU)
These ETFs aim to replicate the performance of their respective sectors as defined by the Global Industry Classification Standard (GICS). The funds are periodically rebalanced to match changes in the S&P 500, offering an accurate reflection of sectoral trends.
█ INDICATOR
The script provides a table displaying the ticker and its corresponding sector name in official GICS terminology, using the SPDR official color. Additionally, it shows the percentage performance, calculated daily for intraday charts or according to the chart's time frame.
The table can be sorted in ascending or descending order, based on either performance or the weight of the ETFs in the S&P 500, which can be manually updated using data retrieved from www.sectorspdrs.com
OPR (Open Price Range) - By Baptiste🔹 Open Price Range (OPR) with Rectangle & Trend Detection 🔹
This indicator displays configurable 9h and 15h30 Opening Price Ranges (OPR), helping traders analyze key market movements. It automatically draws a dynamic rectangle to visualize the price range and includes multi-timeframe trend detection (M1 to Daily) based on the EMA 200.
Main Features:
✅ Configurable OPR – Set your own time ranges and track session highs/lows.
✅ Trend Detection – Displays trends across multiple timeframes with clear color coding.
✅ Bollinger Bands & Floating Candles – Identifies candles fully outside the bands to spot volatility signals.
✅ Customizable – Adjust parameters to fit your trading strategy.
🔹 Perfect for Scalping & Day Trading! 🔹
💬 Add this indicator to your favorites and leave a comment for any suggestions! 🚀
Supply and Demand Zonessupply and demand zones backed by AI, i created this indicator because i couldnt find anything i liked so i made my own, this indicator shows only valid supply and demand zones
[PUBLIC] - Trade Zones with SL/TP and Buy/Sell Signals - [LFES]Trade Zones with SL/TP and Buy/Sell Signals
Este indicador identifica oportunidades de trading baseadas na relação entre o RSI e sua média móvel, com gerenciamento visual de risco através de zonas de lucro/prejuízo.
Altcoin Long/Short Strategy//@version=5
strategy("Altcoin Long/Short Strategy", overlay=true, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=2, commission_type=strategy.commission.percent, commission_value=0.1)
// —————— Inputs ——————
emaFastLength = input.int(20, "Fast EMA")
emaSlowLength = input.int(50, "Slow EMA")
rsiLength = input.int(14, "RSI Length")
bbLength = input.int(20, "Bollinger Bands Length")
riskRewardRatio = input.float(1.5, "Risk/Reward Ratio")
stopLossPerc = input.float(2, "Stop Loss %") / 100
// —————— Indicators ——————
// Trend: EMAs
emaFast = ta.ema(close, emaFastLength)
emaSlow = ta.ema(close, emaSlowLength)
ema200 = ta.ema(close, 200)
// Momentum: RSI & MACD
rsi = ta.rsi(close, rsiLength)
= ta.macd(close, 12, 26, 9)
// Volatility: Bollinger Bands
basis = ta.sma(close, bbLength)
dev = ta.stdev(close, bbLength)
upperBand = basis + 2 * dev
lowerBand = basis - 2 * dev
// —————— Strategy Logic ——————
// Long Conditions
longCondition =
close > ema200 and // Long-term bullish
ta.crossover(emaFast, emaSlow) and // EMA crossover
rsi > 50 and // Momentum rising
close > lowerBand and // Bounce from lower Bollinger Band
macdLine > signalLine // MACD bullish
// Short Conditions
shortCondition =
close < ema200 and // Long-term bearish
ta.crossunder(emaFast, emaSlow) and // EMA crossunder
rsi < 50 and // Momentum weakening
close < upperBand and // Rejection from upper Bollinger Band
macdLine < signalLine // MACD bearish
// —————— Risk Management ——————
stopLoss = strategy.position_avg_price * (1 - stopLossPerc)
takeProfit = strategy.position_avg_price * (1 + (riskRewardRatio * stopLossPerc))
// —————— Execute Trades ——————
if (longCondition)
strategy.entry("Long", strategy.long)
strategy.exit("Exit Long", "Long", stop=stopLoss, limit=takeProfit)
if (shortCondition)
strategy.entry("Short", strategy.short)
strategy.exit("Exit Short", "Short", stop=stopLoss, limit=takeProfit)
// —————— Plotting ——————
plot(emaFast, "Fast EMA", color=color.blue)
plot(emaSlow, "Slow EMA", color=color.orange)
plot(ema200, "200 EMA", color=color.gray)
plot(upperBand, "Upper Bollinger", color=color.red)
plot(lowerBand, "Lower Bollinger", color=color.green)
Exit Strategy with 3 Trailing StopsThis strategy allows the user to define three trailing stops which are intended to exit a long position in incremental steps. There is no logic for opening a position, so the strategy settings require the manual input of the bar index number of the candle that is to be used for the long entry order. This number can be found in the data window, under the exit strategy value "bar index". The value will change as you mouse over the candle that you wish to use for the entry.
At each trailing stop, the user can define the percentage of the position that the strategy should close. The third and final value is intended to close the entire position, so it is set to 100.
EymenYapayZeka2RSI, piyasanın aşırı alım veya aşırı satım koşullarını belirler. RSI periyodu, varsayılan olarak 14 gün olarak ayarlanmıştır.
EMA ise son kapanış fiyatlarının ağırlıklı ortalamasıdır ve genellikle trendin yönünü belirlemek için kullanılır. EMA periyodu 50 olarak ayarlanmıştır.
Alım ve Satım Sinyalleri:
Al Sinyali (Buy Signal): RSI, 30 seviyesini yukarı keserse ve fiyat, EMA'nın üzerinde kalıyorsa, bu bir alım sinyali oluşturur.
Sat Sinyali (Sell Signal): RSI, 70 seviyesini aşağı keserse ve fiyat, EMA'nın altında kalıyorsa, bu bir satış sinyali oluşturur.
Grafikteki Çizimler:
EMA, mavi renkte ve kalın çizgiyle grafikte gösterilir.
Alım sinyali, grafikte yeşil renkte, "AL" yazılı bir etiketle ve aşağıda belirir.
Satım sinyali, kırmızı renkte, "SAT" yazılı bir etiketle ve yukarıda belirir.
Kullanım:
Bu indikatör, kullanıcıya potansiyel alım ve satım fırsatlarını basit bir şekilde gösterir.
Risk Yönetimi: Alım ve satım sinyalleri, yalnızca teknik analizde bir yardımcı araçtır. Yatırımcılar, her zaman risk yönetimi stratejilerini göz önünde bulundurmalıdır.
Bu indikatör, özellikle basit ve hızlı analiz yaparak ticaret kararlarını desteklemek isteyenler için uygun bir araçtır.
EymenYapayZekaGelişmiş Çoklu Sinyal Göstergesi
Bu gösterge, teknik analizde birçok önemli sinyali bir araya getirerek daha bilinçli ticaret kararları almanıza yardımcı olmak üzere tasarlanmıştır. Aşağıda bu göstergenin öne çıkan özellikleri ve içeriği detaylandırılmıştır:
Özellikler:
RSI (Relative Strength Index): Fiyatın aşırı alınıp satılmadığını belirlemek için kullanılır.
Aşırı alım (Overbought) seviyesi: 70
Aşırı satım (Oversold) seviyesi: 30
MACD (Moving Average Convergence Divergence): Fiyatın momentumu ve trend dönüş noktalarını belirlemek için kullanılır.
Hızlı (Fast) ve yavaş (Slow) hareketli ortalama arasındaki farkı inceler.
EMA (Exponential Moving Average): Trend yönünü daha hassas bir şekilde takip etmek için kullanılır.
ADX (Average Directional Index): Trendin gücünü belirlemek için kullanılır. ADX değeri 25'in üzerindeyse trendin güçlü olduğunu ifade eder.
Kullanım Şekli:
Alım Sinyali (BUY):
RSI, aşırı satım seviyesinin altına düşer.
MACD hattı, sinyal hattını yukarı keser.
Fiyat EMA'ın üzerindeyse ve ADX trendi güçlü gösteriyorsa.
Satış Sinyali (SELL):
RSI, aşırı alım seviyesinin üzerine çıkar.
MACD hattı, sinyal hattını aşağı keser.
Fiyat EMA'ın altındaysa ve ADX trendi güçlü gösteriyorsa.
Grafik Üzerinde Görüselleştirme:
Alım sinyalleri, grafikte "BUY" etiketi ile yukarı yönlü bir ok olarak gösterilir.
Satış sinyalleri, grafikte "SELL" etiketi ile aşağı yönlü bir ok olarak gösterilir.
RSI, MACD ve ADX değerleri farklı renklerde çizilerek takip edilmesi kolaylaştırılmıştır.
Kimler Kullanabilir?
Teknik analiz yaparak bilinçli alım-satım kararları vermek isteyen tüm trader'lar.
Trend ve momentum göstergelerini bir arada kullanarak güvenilir sinyaller elde etmek isteyenler.
Uyarı:
Bu gösterge, analizlerinizde yardımcı bir araçtır. Ancak, ticaret kararlarınızı desteklemek için diğer analiz yöntemlerini ve risk yönetimi stratejilerini de kullanmanız tavsiye edilir.
Wyckoff Full Advanced Indicator*Recomendaciones prácticas* para usarlo de manera efectiva y aprovechar al máximo la metodología de Wyckoff con este indicador:
---
### 1. *Configuración inicial*
- *Marco temporal*: Comienza con un marco temporal intermedio (como 1 hora o 4 horas) para identificar las fases y eventos clave. Luego, usa el marco temporal superior (diario o semanal) para confirmar la tendencia principal.
- *Parámetros personalizados*:
- Ajusta el Periodo de análisis según el activo y el marco temporal.
- Modifica el Umbral de volumen para adaptarlo a las características del mercado (por ejemplo, 1.5 para mercados volátiles y 2 para mercados más tranquilos).
---
### 2. *Interpretación de las fases*
- *Fase de Acumulación (Fase A, B, C)*:
- Busca zonas de acumulación (fondo verde) y eventos como *Spring* o *Selling Climax (SC)*.
- Confirma con volumen alto y una ruptura alcista (SOS).
- *Fase de Distribución (Fase A, B, C)*:
- Identifica zonas de distribución (fondo rojo) y eventos como *Upthrust* o *Automatic Rally (AR)*.
- Confirma con volumen alto y una ruptura bajista (SOW).
---
### 3. *Uso de soportes y resistencias*
- *Soportes y resistencias dinámicos*:
- Usa las líneas de soporte y resistencia generadas por el script para identificar zonas clave.
- Busca rupturas o rechazos en estos niveles para confirmar señales.
- *Objetivos de precio*:
- Usa las proyecciones de la *Ley de Causa y Efecto* para establecer objetivos alcistas o bajistas.
---
### 4. *Análisis de volumen*
- *Volumen alto*:
- Confirma eventos clave como SC, AR, Spring, Upthrust, SOS y SOW.
- *Volumen bajo*:
- Identifica divergencias (Esfuerzo vs. Resultado) para anticipar cambios de tendencia.
---
### 5. *Gráficos multitemporales*
- *Confirmación de tendencia*:
- Usa el marco temporal superior (configurado en el script) para confirmar la tendencia principal.
- Si el marco superior es alcista, prioriza señales de compra en el marco inferior.
- *Contexto general*:
- Evita operar en contra de la tendencia del marco superior.
---
### 6. *Maniobras avanzadas*
- *Terminal Shakeout (TS)*:
- Identifica movimientos falsos (shakouts) que suelen ocurrir antes de una reversión.
- Úsalo como una señal de confirmación adicional.
---
### 7. *Gestión de riesgo*
- *Stop Loss*:
- Coloca tu stop loss por debajo del último soporte (en compras) o por encima de la última resistencia (en ventas).
- *Take Profit*:
- Usa los objetivos de precio generados por la *Ley de Causa y Efecto*.
- *Posicionamiento*:
- Ajusta el tamaño de tu posición según la confianza en la señal y el riesgo del trade.
---
### 8. *Prueba y ajuste*
- *Backtesting*:
- Prueba el script en datos históricos para ver cómo se comporta en diferentes condiciones de mercado.
- *Optimización*:
- Ajusta los parámetros (como el período de análisis o el umbral de volumen) para adaptarlo a tu estilo de trading.
---
### 9. *Combinación con otros indicadores*
- *Indicadores de tendencia*:
- Usa el RSI o MACD para confirmar la fuerza de la tendencia.
- *Medias móviles*:
- Combina con una media móvil de 200 períodos para identificar la tendencia a largo plazo.
---
### 10. *Mantén un diario de trading*
- Registra todas las operaciones realizadas con este script.
- Anota las señales, el contexto del mercado y el resultado.
- Esto te ayudará a mejorar tu interpretación y a ajustar el script según tus necesidades.
---
### Ejemplo de flujo de trabajo:
1. *Identifica la fase actual* (Acumulación o Distribución).
2. *Busca eventos clave* (SC, AR, Spring, Upthrust, SOS, SOW).
3. *Confirma con volumen* y el marco temporal superior.
4. *Establece niveles de entrada, stop loss y take profit*.
5. *Maneja el riesgo* y sigue tu plan.
SMA + RSI + Volume + ATR StrategySMA + RSI + Volume + ATR Strategy
1. Indicators Used:
SMA (Simple Moving Average): This is a trend-following indicator that calculates the average price of a security over a specified period (50 periods in this case). It's used to identify the overall trend of the market.
RSI (Relative Strength Index): This measures the speed and change of price movements. It tells us if the market is overbought (too high) or oversold (too low). Overbought is above 70 and oversold is below 30.
Volume: This is the amount of trading activity. A higher volume often indicates strong interest in a particular price move.
ATR (Average True Range): This measures volatility, or how much the price is moving in a given period. It helps us adjust stop losses and take profits based on market volatility.
2. Conditions for Entering Trades:
Buy Signal (Green Up Arrow):
Price is above the 50-period SMA (indicating an uptrend).
RSI is below 30 (indicating the market might be oversold or undervalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
Sell Signal (Red Down Arrow):
Price is below the 50-period SMA (indicating a downtrend).
RSI is above 70 (indicating the market might be overbought or overvalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
3. Take Profit & Stop Loss:
Take Profit: When a trade is made, the strategy will set a target price at a certain percentage above or below the entry price (1.5% in this case) to automatically exit the trade once that target is hit.
Stop Loss: If the price goes against the position, a stop loss is set at a percentage below or above the entry price (0.5% in this case) to limit losses.
4. Execution of Trades:
When the buy condition is met, the strategy will enter a long position (buying).
When the sell condition is met, the strategy will enter a short position (selling).
5. Visual Representation:
Green Up Arrow: Appears on the chart when the buy condition is met.
Red Down Arrow: Appears on the chart when the sell condition is met.
These arrows help you see at a glance when the strategy suggests you should buy or sell.
In Summary:
This strategy uses a combination of trend-following (SMA), momentum (RSI), volume, and volatility (ATR) to decide when to buy or sell a stock. It looks for opportunities when the market is either oversold (buy signal) or overbought (sell signal) and makes sure there’s enough volume and volatility to back up the move. It also includes take-profit and stop-loss levels to manage risk.
SmartVeiwSmartView – Advanced Indicator for Smart Money & Price Action Traders
🔹 Introduction
SmartView is a professional-grade trading indicator designed specifically for Smart Money Concepts (SMC) and Price Action strategies. It helps traders identify liquidity zones, institutional orders, valid breakouts, and market-maker movements to achieve precise entries and optimal exits.
🔹 Key Features:
✅ Liquidity Analysis & Institutional Order Blocks
Detect Order Blocks (Institutional Orders) to identify potential market-maker activity
Recognize Liquidity Sweeps & Stop Hunts to avoid false breakouts
Identify Breaker Blocks & Flip Zones to confirm structural reversals
✅ Order Flow & Market Structure Insights
Visualize buy and sell order accumulation to track institutional decisions
Analyze Premium & Discount Zones to locate optimal entry and exit points
✅ Volume Data & Buy/Sell Pressure Analysis
Color-coded candles based on actual buying and selling pressure
Identify price reactions at key liquidity zones for high-probability trades
✅ Market Structure & Breakout Validation
Highlight Change of Character (CHoCH) & Break of Structure (BOS) for trend confirmation
Detect true vs. false breakouts for refined trade execution
✅ Fully Customizable Interface
Adjust colors, zones, display direction, and sizing preferences
Enable/disable smooth bands, buy/sell pressure visualization, and liquidity mapping
📈 How to Use in Smart Money & Price Action Strategies
🔸 Trade Entries with Order Blocks & CHoCH:
Look for Order Blocks that align with Change of Character (CHoCH) and Break of Structure (BOS) to confirm institutional entries.
🔸 Avoid False Moves with Liquidity Sweeps:
Wait for liquidity grabs where price hunts stop losses before making a genuine move, then enter with candle confirmation.
🔸 Optimal Entries in Premium & Discount Zones:
In uptrends, enter below the 50% Fibonacci retracement (Discount Zone), and in downtrends, enter above 50% (Premium Zone).
🔸 Multi-Timeframe Confirmation (MTF):
Use higher timeframes for macro confirmation and refine entries on lower timeframes for precise execution.
📊 Who is SmartView for?
✅ Price Action & Smart Money Traders
✅ Scalpers & Swing Traders
✅ Institutional & Prop Firm Traders Focused on Liquidity
✅ Traders Looking for Data-Driven Strategies
🚀 With SmartView, trade like an institution and leverage liquidity to your advantage!
BINANCE:BTCUSDT BINANCE:SOLUSDT BINANCE:ADAUSDT
Auto-Adjusting Kalman Filter by TenozenNew year, new indicator! Auto-Adjusting Kalman Filter is an indicator designed to provide an adaptive approach to trend analysis. Using the Kalman Filter (a recursive algorithm used in signal processing), this algo dynamically adjusts to market conditions, offering traders a reliable way to identify trends and manage risk! In other words, it's a remaster of my previous indicator, Kalman Filter by Tenozen.
What's the difference with the previous indicator (Kalman Filter by Tenozen)?
The indicator adjusts its parameters (Q and R) in real-time using the Average True Range (ATR) as a measure of market volatility. This ensures the filter remains responsive during high-volatility periods and smooth during low-volatility conditions, optimizing its performance across different market environments.
The filter resets on a user-defined timeframe, aligning its calculations with dominant trends and reducing sensitivity to short-term noise. This helps maintain consistency with the broader market structure.
A confidence metric, derived from the deviation of price from the Kalman filter line (measured in ATR multiples), is visualized as a heatmap:
Green : Bullish confidence (higher values indicate stronger trends).
Red : Bearish confidence (higher values indicate stronger trends).
Gray : Neutral zone (low confidence, suggesting caution).
This provides a clear, objective measure of trend strength.
How it works?
The Kalman Filter estimates the "true" price by filtering out market noise. It operates in two steps, that is, prediction and update. Prediction is about projection the current state (price) forward. Update is about adjusting the prediction based on the latest price data. The filter's parameters (Q and R) are scaled using normalized ATR, ensuring adaptibility to changing market conditions. So it means that, Q (Process Noise) increases during high volatility, making the filter more responsive to price changes and R (Measurement Noise) increases during low volatility, smoothing out the filter to avoid overreacting to minor fluctuations. Also, the trend confidence is calculated based on the deviation of price from the Kalman filter line, measured in ATR multiples, this provides a quantifiable measure of trend strength, helping traders assess market conditions objectively.
How to use?
Use the Kalman Filter line to identify the prevailing trend direction. Trade in alignment with the filter's slope for higher-probability setups.
Look for pullbacks toward the Kalman Filter line during strong trends (high confidence zones)
Utilize the dynamic stop-loss and take-profit levels to manage risk and lock in profits
Confidence Heatmap provides an objective measure of market sentiment, helping traders avoid low-confidence (neutral) zones and focus on high-probability opportunities
Guess that's it! I hope this indicator helps! Let me know if you guys got some feedback! Ciao!
High-Leverage Futures Trading Strategy//@version=5
indicator("High-Leverage Futures Trading Strategy", shorttitle="HL Futures", overlay=true)
// Input Parameters
risk_per_trade = input.float(5, title="Risk per Trade (%)", minval=1, maxval=100)
atr_multiplier = input.float(1.5, title="ATR Stop-Loss Multiplier", minval=0.1, maxval=5)
ema_fast_length = input.int(50, title="Fast EMA Length", minval=1)
ema_slow_length = input.int(200, title="Slow EMA Length", minval=1)
rsi_length = input.int(14, title="RSI Length", minval=1)
macd_fast = input.int(12, title="MACD Fast Length", minval=1)
macd_slow = input.int(26, title="MACD Slow Length", minval=1)
macd_signal = input.int(9, title="MACD Signal Length", minval=1)
// Force 4-Hour Timeframe
is_4h = (timeframe.period == "240")
if not is_4h
label.new(bar_index, high, "Use 4H timeframe", color=color.red, textcolor=color.white, style=label.style_label_down)
// Moving Averages
ema_fast = ta.ema(close, ema_fast_length)
ema_slow = ta.ema(close, ema_slow_length)
// Trend Identification
long_condition = close > ema_fast and ema_fast > ema_slow
short_condition = close < ema_fast and ema_fast < ema_slow
// RSI
rsi = ta.rsi(close, rsi_length)
rsi_long = rsi < 30
rsi_short = rsi > 70
// MACD
= ta.macd(close, macd_fast, macd_slow, macd_signal)
macd_long = ta.crossover(macd_line, signal_line)
macd_short = ta.crossunder(macd_line, signal_line)
// ATR for Stop-Loss
atr = ta.atr(14)
stop_loss_long = close - atr * atr_multiplier
stop_loss_short = close + atr * atr_multiplier
// Volume Confirmation
volume_spike = volume > ta.sma(volume, 20) * 1.5
// Entry Signals
entry_long = long_condition and macd_long and rsi_long and volume_spike
entry_short = short_condition and macd_short and rsi_short and volume_spike
// Plot EMAs
plot(ema_fast, color=color.blue, title="50 EMA")
plot(ema_slow, color=color.red, title="200 EMA")
// Plot Buy and Sell Signals
plotshape(entry_long, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, size=size.small)
plotshape(entry_short, title="Sell Short Signal", location=location.abovebar, color=color.red, style=shape.labeldown, size=size.small)
// Alerts
alertcondition(entry_long, title="Long Entry", message="Go LONG: High-leverage entry detected.")
alertcondition(entry_short, title="Short Entry", message="Go SHORT: High-leverage entry detected.")
