Indicators and strategies
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).
Wyckoff Full Advanced Indicator*Recomendaciones prácticas* para usarlo de manera efectiva y aprovechar al máximo la metodología de Wyckoff con este indicador:
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### 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).
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### 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).
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### 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.
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### 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.
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### 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.
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### 6. *Maniobras avanzadas*
- *Terminal Shakeout (TS)*:
- Identifica movimientos falsos (shakouts) que suelen ocurrir antes de una reversión.
- Úsalo como una señal de confirmación adicional.
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### 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.
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### 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.
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### 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.
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### 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.
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### 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.
Inverika Reversal - Cyclic RSIThis is for reversal trades based on Cyclic RSI Smoothed - Length 20.
Buy when CRSI moves above 40 from below.
Sell when CRSI moves below 60 from above.
The accuracy is phenomenal for holding the trades for big moves. I am using in it in 1 min, 5 min and 15 min TF.
This is just experimental. One should be cautious on their own before using this indicator.
Datia-PM-ScalperThis script is ideal for scalpers seeking quick entry and exit opportunities. It performs effectively in sideways and indecisive markets . In a clearly trending market, it can help identify potential pullback areas, but trades should always align with the prevailing trend. Thank you!
Quad Rotation - 4 Stochastics Overlay with ABCD Detection"Quad Rotation - 4 Stochastics Overlay with ABCD Detection" is a momentum indicator combining four separate Stochastics and an ABCD pattern detection system.
Each Stochastic uses different parameter settings to capture potential rotation points in market momentum.
When three or more (this number is user customizable) of these Stochastics simultaneously slope downward above the 80 level (or slope upward below the 20 level), the chart background highlights in red (bearish) or green (bullish), indicating a multi-Stochastic momentum signal.
Additionally, the script tracks Stochastic #4 to detect an ABCD pattern:
Long Pattern (A-B) triggers if Stochastic #4 remains above 90 for a specified number of bars (abBars).
Short Pattern (C-D) triggers if Stochastic #4 remains below 10 for a specified number of bars (cdBars).
Visual markers (green X for long setups, red X for short setups) appear on the chart once these conditions are met. Users can enable alerts to receive real-time notifications whenever momentum signals or ABCD patterns occur.
This combination of multi-Stochastic momentum and ABCD detection helps traders gauge potential trend exhaustion and reversal points with greater confidence.
Autocorrelation Price Forecasting Backtesting [ScrimpleAI]This script presents an innovative trading backtesting strategy designed to leverage autocorrelation models and linear regression on historical price returns . The goal is to forecast future price movements, identify recurring market cycles, and optimize trading decisions.
Main Functionality
This backtesting script is built to simulate trades by integrating historical autocorrelation with dynamic price forecasting . It incorporates risk management, stop-loss features, and an advanced backtesting date range, providing traders with maximum flexibility for evaluating strategies.
Key Features
1. Customizable Date Range for Backtesting
Allows users to define the exact date period for backtesting their strategies, ensuring they can fine-tune results for specific historical scenarios.
- Inputs: Start and End dates (day, month, year).
2. Autocorrelation Price Forecasting
- Detects cycles in market movements using the `ta.correlation` function.
- Highlights significant cycles when the autocorrelation exceeds a threshold value (default: 0.50).
- Stores projected values based on autocorrelation and linear regression of percentage returns for enhanced forecasting accuracy.
3. Forecast Threshold and Profit Assessment
- Evaluates hypothetical gains by comparing forecasted future prices to the current price.
- Customizable threshold gains to determine minimum profitability requirements for opening trades.
4. Strategy Side
- Long or Short Mode: Users can choose to test either long or short strategies to align with their trading approach.
5. Risk and Trade Management
- Order Sizing: Adjust position size as a percentage of the portfolio.
- Stop-Loss Integration: Dynamically calculates stop-loss based on user-defined percentages.
- Take Profit Target: Automatically sets take-profit levels based on forecasted gains.
6. Visual Alerts
- Provides clear visual signals of long and short entries on the chart, including labels and dynamic coloring.
- Forecasted prices are displayed directly on the chart as a continuous line, enhancing decision-making clarity.
Practical Applications
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
3. Risk Management: Test different stop-loss and take-profit configurations.
4. Custom Period Analysis: Evaluate strategy performance in specific historical market conditions using the date range filter.
Core Logic Walkthrough
1. Autocorrelation for Cycle Detection:
- Historical prices are analyzed for recurring patterns using the `ta.correlation` function.
- If a significant cycle is detected (above the `signal_threshold`), the `linreg_values` (linear regression of returns) are stored for price projection.
2. Future Price Estimation: Forecasted price is calculated based on linear regression values and current price movements.
3. Trade Entry Logic
Long Trades
- Triggered if the hypothetical gain exceeds the threshold gain.
- Sets a take-profit level based on the projected future price.
- Includes an optional stop-loss based on user-defined percentages.
Short Trades
- Triggered if the hypothetical gain is less than the negative of the threshold gain.
- Configures take-profit and stop-loss levels for bearish trades.
4. Risk Management
- Position Sizing: Automatically calculates the order size as a percentage of the portfolio.
- Stop-Loss: Dynamically adjusts stop-loss levels to minimize risk.
5. Date Range Filtering: Ensures trades are executed only within the defined backtesting period.
Example Use Case: Backtesting with Autocorrelation
- A trader analyzes a 6-month period using 50 historical bars for autocorrelation.
- Sets a threshold gain of 10% and enables a stop-loss at 5%.
- Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
If you find this strategy useful or have ideas for improvements, leave a comment! What new features would you like to see in this strategy?
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!
VWAP Suite by Augur - Multi PeriodOverview
The Multi-Timeframe VWAP Suite revolutionizes price analysis by combining institutional-grade volume-weighted pricing with multi-period deviation analytics. This professional toolkit simultaneously tracks VWAP across 5 time horizons (Daily to Yearly) with smart deviation bands, offering traders unparalleled insight into market structure and volatility dynamics.
Key Features
Multi-Timeframe VWAP Matrix
Simultaneous Daily/Weekly/Monthly/Quarterly/Yearly VWAP tracking
Institutional-level volume-weighted calculations
Independent timeframe toggles for focused analysis
Smart Deviation Architecture
Dual-layer standard deviation bands (1σ & 2σ)
Separate colors for upper/lower deviation zones
Adaptive 95% transparency fills for layered visualization
Professional Visual Design
Strategic color coding per timeframe (FIXED palette)
Dark Blue/Yellow/Purple/Pink/Red VWAP hierarchy
Orange-Green-Red-Blue deviation band system
Advanced Calculation Engine
HLC3 price source integration
Cumulative volume-weighting algorithm
Real-time standard deviation updates
Precision Pro Trader“Precision Pro Trader” Indicator – Your Key to Smarter, More Profitable Trades! 🚀📈
Unlock the full potential of your trading with the Precision Pro Trader Indicator, a powerful and user-friendly tool designed for traders who want to make informed, accurate decisions and boost their profitability. Whether you’re just starting or you’re an experienced trader, Precision Pro Trader is the perfect solution to elevate your trading game. 💹
Key Features:
• Advanced Entry Signals: Harness the power of MACD, RSI, and Moving Averages to get precise Buy and Sell signals. 📊 The Precision Pro Trader Indicator ensures you never miss a profitable opportunity again! 💡
• Multiple Take Profit Levels: Maximize your gains with customizable take-profit levels (TP1, TP2, TP3), allowing you to lock in profits at multiple stages of your trade. 💰💵
• Stop-Loss Protection: Protect your capital with automatic Stop-Loss settings, minimizing risk and giving you peace of mind while you trade. 🔒
• Order Block Detection: Identify key support and resistance zones with Order Block detection, ensuring you’re always trading with the market’s structure in mind. 🔑
• Trailing Stop for Dynamic Profits: Secure your profits as the market moves in your favor with the Trailing Stop feature, keeping your gains intact while riding trends. 🏄♂️
• Real-Time Alerts: Receive instant notifications when entry signals, take-profit hits, or stop-loss triggers are reached. Never miss an important market move again! ⏰📲
• Clear Visuals: With easy-to-read entry points, exit levels, support, resistance, and price action signals, Precision Pro Trader makes it simple to track your trades and understand the market direction. 🔍
Why Choose Precision Pro Trader?
• Higher Accuracy: Combining multiple reliable indicators, Precision Pro Trader helps you make data-driven decisions for more accurate trades. 🎯
• Beginner-Friendly & Expert-Approved: Whether you’re new to trading or a seasoned pro, Precision Pro Trader is intuitive, powerful, and customizable for any level. 🌟
• Versatile for Any Trading Style: Perfect for day trading, swing trading, and long-term investing, adapting seamlessly to your preferred strategy. 📆
With Precision Pro Trader, you’ll have all the tools you need to trade smarter, faster, and more profitably. 🌍💡
Start making more informed trades today with Precision Pro Trader – the ultimate trading companion! 🚀
This version uses “Precision Pro Trader” as the name and includes relevant emojis to make the description more engaging and visually appealing.
Candle Emotion Index (CEI) StrategyThe Candle Emotion Index (CEI) Strategy is an innovative sentiment-based trading approach designed to help traders identify and capitalize on market psychology. By analyzing candlestick patterns and combining them into a unified metric, the CEI Strategy provides clear entry and exit signals while dynamically managing risk. This strategy is ideal for traders looking to leverage market sentiment to identify high-probability trading opportunities.
How It Works
The CEI Strategy is built around three core oscillators that reflect key emotional states in the market:
Indecision Oscillator . Measures market uncertainty using patterns like Doji and Spinning Tops. High values indicate hesitation, signaling potential turning points.
Fear Oscillator . Tracks bearish sentiment through patterns like Shooting Star, Hanging Man, and Bearish Engulfing. Helps identify moments of intense selling pressure.
Greed Oscillator . Detects bullish sentiment using patterns like Marubozu, Hammer, Bullish Engulfing, and Three White Soldiers. Highlights periods of strong buying interest.
These oscillators are averaged into the Candle Emotion Index (CEI):
CEI = (Indecision + Fear + Greed) / 3
This single value quantifies overall market sentiment and drives the strategy’s trading decisions.
Key Features
Sentiment-Based Trading Signals . Long Entry: Triggered when the CEI crosses above a lower threshold (e.g., 0.1), indicating increasing bullish sentiment. Short Entry: Triggered when the CEI crosses above a higher threshold (e.g., 0.2), signaling rising bearish sentiment.
Volume Confirmation . Trades are validated only if volume exceeds a user-defined multiplier of the average volume over the lookback period. This ensures entries are backed by significant market activity.
Break-Even Recovery Mechanism . If a trade moves into a loss, the strategy attempts to recover to break-even instead of immediately exiting at a loss. This feature provides flexibility, allowing the market to recover while maintaining disciplined risk management.
Dynamic Risk Management . Maximum Holding Period: Trades are closed after a user-defined number of candles to avoid overexposure to prolonged uncertainty. Profit-Taking Conditions: Positions are exited when favorable price moves are confirmed by increased volume, locking in gains. Loss Threshold: Trades are exited early if the price moves unfavorably beyond a set percentage of the entry price, limiting potential losses.
Cooldown Period . After a trade is closed, a cooldown period prevents immediate re-entry, reducing overtrading and improving signal quality.
Why Use This Strategy?
The CEI Strategy combines advanced sentiment analysis with robust trade management, making it a powerful tool for traders seeking to understand market psychology and identify high-probability setups. Its unique features, such as the break-even recovery mechanism and volume confirmation, add an extra layer of discipline and reliability to trading decisions.
Best Practices
Combine with Other Indicators . Use trend-following tools (e.g., moving averages, ADX) and momentum oscillators (e.g., RSI, MACD) to confirm signals.
Align with Key Levels . Incorporate support and resistance levels for refined entries and exits.
Multi-Market Compatibility . Apply this strategy to forex, crypto, stocks, or any asset class with strong volume and price action.
SuperTrend on SteroidsSuperTrend on Steroids 🚀
Overview
SuperTrend on Steroids is a **powerful intraday trading strategy designed for high-accuracy trend-following signals. It combines SuperTrend, VWAP, EMA, and ADX to provide **optimized entry and exit points. This script helps traders identify strong momentum-based trades while minimizing false signals.
📌 Key Features
✔ SuperTrend Indicator – Identifies trend direction using ATR-based volatility
✔ VWAP (Volume Weighted Average Price) – Confirms institutional buying/selling pressure
✔ EMA (Exponential Moving Average) – Smooths price action for better trend confirmation
✔ ADX (Average Directional Index) – Measures trend strength to avoid weak signals
✔ Buy/Sell Alerts – Clearly marked "BUY" and "SELL" signals for easy trade execution
✔ Trend Highlighting – Background changes color to indicate trend shifts
📈 How It Works
1. SuperTrend Calculation:
- Uses ATR period (10) and multiplier (3.0) to determine trend direction
- Green trend = Bullish, Red trend = Bearish
2. **VWAP & EMA Confirmation:
- VWAP above EMA = Bullish bias, VWAP below EMA = Bearish bias
- EMA (21) acts as a dynamic support/resistance level
3. ADX Filtering (Optional for Strong Trends):
- ADX above 25 = Strong trend, signals are more reliable
- ADX below 25 = Weak trend, caution is advised
4. Entry Conditions:
✅ BUY Signal:
- SuperTrend turns green (Uptrend confirmation)
- Price closes above VWAP and EMA
- ADX shows trend strength
❌ SELL Signal:
- SuperTrend turns red (Downtrend confirmation)
- Price closes below VWAP and EMA
- ADX confirms downtrend strength
🔍 Best Timeframes & Markets
⏳ Ideal for intraday & short-term trading(5 min, 15 min, 1 hour)
📊 Works best on trending assets (Crypto, Stocks, Forex)
⚠ Avoid using in sideways/choppy markets
🔔 Alerts & Optimization
📢 Set TradingView alerts for buy/sell signals to automate trade execution.
⚙ Customize ATR period, ADX smoothing, EMA length to fit different asset classes.
🚀 Why Use This Strategy?
✔ Combines multiple indicators for high accuracy
✔ Reduces false breakouts using ADX filter
✔ Clear buy/sell signals with visual trend confirmation
✔ Easy to customize for different markets & timeframes
🔹 Disclaimer: No strategy is 100% perfect. Always use proper risk management and test in a demo before live trading. Happy Trading! 🚀📊
Let me know if you need any modifications! 🚀🔥
VIX Differential(Melon)Simple indy that measures the difference between VIX9D and VIX to try assessing short-term market sentiment. I've liked this recently as a big clue for market bottom reversals.
Schoute Support Resistance DiagonalThis Pine Script indicator dynamically identifies and plots support and resistance levels on a TradingView chart. It adjusts its calculations based on the selected timeframe, ensuring relevance across various trading periods. The script detects pivot highs and lows over a user-defined lookback period to determine these key levels. Once identified, it draws horizontal lines at these support and resistance points, extending them into the future to assist traders in visualizing potential price reaction zones. Customization options include setting the sensitivity of pivot detection, the number of historical bars analyzed, and the appearance of the lines, allowing traders to tailor the indicator to their specific analysis needs.
Trader's Mantra"A customizable trading psychology overlay that displays motivational reminders, current symbol information, and trading principles directly on the chart to help traders maintain focus, discipline, and emotional control."
Chandelier exit bull y sell target [JLPA]es un indicador que fusionamos dos parametros en donde nos muestra una señales de bull y sell en diferentes temporalidades
Previous Candle High Low Break Previous candle high low break strategy if you want break out and break down on
Candles break out patter its sutable strategy
SAVE ORDER'S STRATEGY V - 1
This Strategy is Using Save Order's Instate of Stop Loss to Profit of the Assets
in this case bitcoin
There is no stop loss
What is Save Order ?
SAVE ORDER IS WHEN IS IN LONG POSITION LIMIT SAVE ORDERS ARE PLACED BELOW -
THE LONG POSITION ON SET DISTANCE TO LOWER THE AVERAGE PRICE OF ALL POSITIONS
WHEN THE ASSET PRICE GO UP LIKE BITCOIN THIS STRATEGY WILL TAKE PROFIT ON -
AVERAGE PRICE FOR ALL ORDER'S
TAKE PROFIT IS TRIALING OR AVERAGE PRICE + TAKE PROFIT %
IF % TRIALING IS USE - AND THE PRACE IS >= TO AVERAGE PRICE + TAKE PROFIT % -
IN REAL TIME THE % TRAILING WILL WORK
UNFORTUNATELY ON BACK TESTING IS NOT REALISTIC
GETTING LONG IS CROSSUNDER FAST HMA - SLOW HMA - THE LENGTHS' CAN BE CHANGE
ALL THE DISTANCE IS DETERMINED BY MAIN SMOOTHED DYNAMIC MA
ONE'S IT GET ON THE FIRST POSITION THE LIMIT ORDER'S ARE SET STATICALLY -
and plot 1 by one
The SUM in Cash for Base Order and All Save orders can be Adjusted
The Distance of the Save orders can be Adjusted
Fast and Slow HMA are plotted
Take Profit and Average Price of the position are plotted
RSI + MA Buy/Sell Signals//@version=5
indicator("RSI + MA Buy/Sell Signals", overlay=true)
// Inputs
rsiLength = input(14, title="RSI Length")
maLength = input(50, title="Moving Average Length")
oversold = input(30, title="Oversold Level")
overbought = input(70, title="Overbought Level")
// RSI and Moving Average
rsi = ta.rsi(close, rsiLength)
ma = ta.sma(close, maLength)
// Buy Condition
buySignal = ta.crossover(rsi, oversold) and close > ma
// Sell Condition
sellSignal = ta.crossunder(rsi, overbought) and close < ma
// Plot Signals
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot Moving Average
plot(ma, title="Moving Average", color=color.blue)
ERFAN1RAHMATI...ADX/EMA.1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized JUST FOR Test
TrendMasterPro_FekonomiTrend Change and Start Signals with Weighted Conditions
The Trend Change and Start Signals with Weighted Conditions indicator leverages various technical analysis tools to generate reliable buy and sell signals. This indicator helps investors more accurately identify trend changes and start signals in the market.
Features:
Utilizes popular technical analysis tools such as MACD, RSI, EMA, and Ichimoku Cloud.
Enhances signal accuracy with additional indicators like ADX and Volume Increase.
Allows users to adjust the weights of each condition to set their importance.
The Confidence Level parameter lets you adjust the accuracy rate of the signals.
Visual Signals make it easy to track buy and sell points directly on the chart.
How It Works:
Condition Weights: Users assign weights to indicators like MACD, RSI, EMA, and Ichimoku Cloud. If you have no idea, use default settings.
Condition Fulfillment: Checks if the conditions for each indicator are met.
Confidence Level: The total weight of the fulfilled conditions must exceed the user-defined confidence level.
Signal Generation: When these conditions are met, a buy or sell signal is generated and visually displayed on the chart.
Customization:
Personalize Signals: By adjusting the weights of the indicators used, you can personalize the signals to match your trading strategy and preferences.
Use Cases:
Short-Term Investments: Identify quick trend changes for short-term trading decisions.
Long-Term Investments: Detect long-term trend starts and changes for strategic investment decisions.
Technical Analysis: Combine different technical analysis tools for more comprehensive and reliable analyses.
With this indicator, you can better understand market movements and make more informed investment decisions. Try it now and enhance your trading strategy!
by Fekonomi
