Sessions On Chart With 3 EMAsThis Indicator script provides two major features:
1. Session Indicators: Highlighting the active trading sessions with color-coded backgrounds for better visual tracking of market hours.
2. Exponential Moving Averages: Displaying three EMAs with different periods to help identify trends and potential entry/exit points.
Session Time Settings:
Each trading session has configurable time inputs that let users adjust session start and end times according to their preferred trading hours or market times. This can be customized directly from the input section for more flexibility.
This part of the script visually highlights the different trading sessions (London, New York, Tokyo, Sydney) by coloring the background of the chart based on which session is currently active. This is useful for traders who want to see at a glance when each major market session is open.
Session Definitions:
London Session: Active from 03:00 to 12:00 UTC.
New York Session: Active from 08:00 to 17:00 UTC.
Tokyo Session: Active from 20:00 to 04:00 UTC.
Sydney Session: Active from 17:00 to 02:00 UTC.
Background Colors:
When the London session is active, the background is colored green.
When the New York session is active, the background is colored red.
When the Tokyo session is active, the background is colored yellow.
When the Sydney session is active, the background is colored blue.
EMA Length Settings:
Users can change the length of the EMAs via the len1, len2, and len3 inputs to adjust the sensitivity of each moving average, depending on the user's trading style.
EMA Lengths:
EMA 1 (Blue Line): A short-term EMA with a length of 9 periods, which reacts quickly to price changes.
EMA 2 (Orange Line): A medium-term EMA with a length of 21 periods, providing a balance between short-term and long-term price movements.
EMA 3 (Purple Line): A long-term EMA with a length of 50 periods, smoothing out more of the price data to show long-term trends.
Together, these features provide a comprehensive view of both time-based market activity and trend-following analysis, making this script a valuable tool for traders.
Analisis Tren
محاسبه سود/ضرر بر اساس هر پیپاندیکاتور محاسبه قیمت
این اندیکاتور بر اساس پیپت و پیپ هایی که جفت ارزها و سایر شاخص ها جا به جا میشوند به شما نشان میدهد که چقدر در سود و ضرر میروید
SMA Crossover Strategy by AARYAN Buy Signal: When the 50-period SMA crosses above the 200-period SMA
Sell Signal: When the 50-period SMA crosses below the 200-period SMA
This script also includes:
✔️ Visual buy/sell markers on the chart
✔️ Alerts for buy and sell signals
✔️ Backtesting capability to analyze past performance
ZACARÍA$ 5/20 EMA Cross + 50 SMAThis is a MA Cross with the 5 EMA + 20 EMA, but it also features a Simple MA at the 50. Useful for Forex, but can be applied to any chart
ZACARÍA$ 9/21 EMA Cross + 55 MAThis is a MA Cross with the 9 EMA + 21 EMA, but it also features a Simple MA at the 55. Useful for Forex, but can be applied to any chart
Combined SmartComment & Dynamic S/R LevelsDescription:
The Combined SmartComment & Dynamic S/R Levels script is designed to provide valuable insights for traders using TradingView. It integrates dynamic support and resistance levels with a powerful Intelligent Comment system to enhance decision-making. The Intelligent Comment feature generates market commentary based on key technical indicators, delivering real-time actionable feedback that helps optimize trading strategies.
Intelligent Comment Feature:
The Intelligent Comment function continuously analyzes market conditions and offers relevant insights based on combinations of various technical indicators such as RSI, ATR, MACD, WMA, and others. These comments help traders identify potential price movements, highlighting opportunities to buy, sell, or wait.
Examples of the insights provided by the system include:
RSI in overbought/oversold and price near resistance/support: Indicates potential price reversal points.
Price above VAH and volume increasing: Suggests a strengthening uptrend.
Price near dynamic support/resistance: Alerts when price approaches critical support or resistance zones.
MACD crossovers and RSI movements: Provide signals for potential trend shifts or continuations.
Indicators Used:
RSI (Relative Strength Index)
ATR (Average True Range)
MACD (Moving Average Convergence Divergence)
WMA (Weighted Moving Average)
POC (Point of Control)
Bollinger Bands
SuperSignal
Volume
EMA (Exponential Moving Average)
Dynamic Support/Resistance Levels
How It Works:
The script performs real-time market analysis, assessing multiple technical indicators to generate Intelligent Comments. These comments provide traders with timely guidance on potential market movements, assisting with decision-making in a dynamic market environment. The script also integrates dynamic support and resistance levels to further enhance trading accuracy.
Sahil23_HammerHammer indicator:
It will identify a hammer and then it will check if the candle next to the hammer is green or not, if it's green it will put a white triangle below it.
Adaptive Resonance Oscillator [AlgoAlpha]Introducing the Adaptive Resonance Oscillator , an advanced momentum-based oscillator designed to dynamically adjust to changing market conditions. This innovative indicator detects market frequency through a Hilbert Transform approach, adapting in real-time to identify overbought and oversold conditions with improved accuracy. With built-in divergence detection, trend analysis, and customizable smoothing, this tool is perfect for traders looking to refine their entries and exits based on adaptive oscillation mechanics.
🚀 Key Features :
🔹 Adaptive Frequency Detection – Uses Hilbert Transform principles to dynamically determine market cycle length for precise oscillator calculation.
⚙️ Customizable Smoothing – Option to apply a Hull Moving Average (HMA) for enhanced signal clarity.
📈 Divergence Detection – Identifies bullish and bearish divergences with visual markers, helping traders spot early trend reversals.
🟢 Overbought & Oversold Signals – Highlights extreme momentum conditions with adjustable thresholds.
🔔 Real-Time Alerts – Get notified for crossovers, divergences, and strong trend shifts directly on your TradingView chart.
🎨 Fully Customizable Appearance – Modify colors, divergence sensitivity, and smoothing options to fit your trading style.
🛠 How to Use :
Add the Adaptive Resonance Oscillator to your TradingView chart by clicking the ★ to favorite it.
Monitor the Charts , switch between smoothed and I smoothed modes to identify trend and price swings, use divergences and reversal signals for potential entry/exits.
Set alerts for bullish/bearish crossovers and divergence signals to stay ahead of market moves.
⚙ How It Works :
The indicator begins by applying a Hilbert Transform frequency estimation to the price series, identifying the dominant market cycle length. This is used to calculate a period for the RSI that matches its resonant frequency with the dominant market frequency, dynamically adjusting the Oscillator. The oscillator then applies an optional Hull Moving Average (HMA) smoothing for signal refinement. Additionally, the indicator scans for bullish and bearish divergences by comparing oscillator movements against price action, plotting signals accordingly. When overbought/oversold conditions or divergence events occur, alerts are triggered to notify the trader in real time.
ICT Dynamic WatermarkA moving watermark anchored to the current candle's closing price. This indicator was specifically created for Michael J. Huddleston (ICT) to help prevent people using his content without authorization.
Support and Resistance all in one The Support and Resistance Indicator (v4) is designed to identify and track key price levels in financial markets. Here's how it works:
Core Functionality
Level Detection
Uses pivot points to identify significant price levels
Looks for swing highs (resistance) and swing lows (support)
Requires price action to pivot over a specified period (default 10 bars)
Dynamic Level Management
Maintains separate arrays for support and resistance levels
Limits maximum displayed levels (default 10) to prevent chart clutter
Removes oldest levels when maximum is reached
Ensures new levels are sufficiently distant from existing ones (minimum 1% separation)
Touch Detection System
Monitors price interaction with established levels
Counts when price comes within 0.1% of any level
Updates touch count and strength classification
Categories: "New" (1 touch), "Moderate" (2 touches), "Strong" (3+ touches)
Visual Representation
Draws horizontal lines at each level
Updates line width based on strength (thicker for stronger levels)
Shows labels with price and strength information
Color coding: Red (new/moderate levels), Green (strong levels)
Displays triangles (▼▲) at pivot points
Trading Applications
Support/Resistance Trading
Strong levels (3+ touches) suggest reliable trading zones
More touches indicate higher probability reversal points
Use for stop loss and target placement
Breakout Trading
Monitor breaks of strong levels
Higher touch count suggests more significant breakouts
Watch for false breakouts at weaker levels
Risk Management
Place stops beyond strong levels
Use level strength to adjust position size
Consider multiple timeframe analysis
Best Practices
Use with other indicators for confirmation
Consider market context and trend
Monitor level strength development
Don't rely solely on touch count
Watch for price reaction at levels
Customization Options
Adjust pivot length for different timeframes
Modify minimum distance between levels
Change required touches for "Strong" classification
Toggle strength labels display
Choose line style (Solid/Dashed/Dotted)
This indicator helps identify key price levels where market participants have shown interest, making it valuable for trade planning and risk management
POB RSI Bullish Divergence//@version=5
indicator("RSI Bullish Divergence", overlay=true)
// RSI Settings
rsiLength = input(14, title="RSI Length")
rsiSource = input(close, title="RSI Source")
rsiLevel = input(30, title="RSI Bullish Threshold")
// Calculate RSI
rsiValue = ta.rsi(rsiSource, rsiLength)
// Detecting Bullish Divergence
// We check if the price is making a lower low but the RSI is making a higher low
// Price lows
priceLow = ta.lowest(low, 10)
// RSI lows
rsiLow = ta.lowest(rsiValue, 10)
// Check for Bullish Divergence (price low < previous low, RSI low > previous low)
bullDiv = (priceLow < priceLow ) and (rsiLow > rsiLow )
// Plot the Bullish Divergence signal on the chart
plotshape(bullDiv, title="Bullish Divergence", location=location.belowbar, color=color.green, style=shape.labelup, text="BULL")
// Optional: Plot the RSI line for reference
plot(rsiValue, title="RSI", color=color.blue, linewidth=1, offset=-1)
hline(30, title="RSI Threshold", color=color.red, linestyle=hline.style_dotted)
Leap KalmanThe Leap Kalman is designed to enhance trend detection and reduce market noise. It applies a Kalman filter to smooth price data, improving the reliability of signals. The indicator integrates **Rate of Change (ROC)** to measure momentum and a **Stochastic Oscillator** to identify overbought or oversold conditions. Additional smoothing techniques help refine signals, making it particularly useful for **mean reversion strategies** and detecting **dips and reversals**. This makes it an effective tool for traders looking to **capitalize on short-term inefficiencies** in crypto markets, especially in pair trading and spread-based strategies.
Update Ijikwa**Fractal Model° - Key Takeaways**
The **Fractal Model° ** by **TTrades** is an advanced algorithmic tool designed to help traders identify momentum shifts, swing formations, and order flow continuations by leveraging price fractals across multiple timeframes.
**Core Features:**
- **Fractal Timeframe Pairing** – Automatically aligns higher and lower timeframe (HTF/LTF) structures for better trend analysis.
- **Customizable History** – View up to 40 past setups to analyze historical price action.
- **Bias Selection** – Filter between bullish, bearish, or neutral setups for targeted market analysis.
- **Change in State of Delivery (CISD)** – Detects momentum shifts and trend reversals.
- **Liquidity Zones & T-Spot Identification** – Highlights engineered liquidity pools and key reversal points.
- **Higher Timeframe Power of Three (PO3)** – Tracks price accumulation, manipulation, and distribution phases.
- **Information Table** – Displays HTF/LTF pairing, next HTF candle close, and selected bias.
- **Fully Automated Framework** – Adapts to different market conditions and timeframes with customizable visualization options.
**Usage:**
1. Add **Fractal Model° ** to your TradingView chart.
2. Select preferred **timeframe pairings**, **historical depth**, and **time filters**.
3. Utilize it alongside your strategy to refine trade entries and exits based on TTrades' methodology.
This **non-repainting** and **adaptive** model ensures reliable market structure analysis, making it a valuable tool for traders aiming to capitalize on price expansions.
Fibonnaci Crosses Buy/SellIndicator uses Fibonacci numbered ema's that can be toggled on and off to produce buy and sell signals based on the crosses of the moving averages. This indicator allows you to have multiple moving average lines on your chart with the use of one indicator. Also the buy and sell signals allow you to scan the chart quickly to see if there are any trade opportunities available.
Enjoy this indicator. Hope it can help you on your Trading Journey.
MACD Trend Direction BUY/SELLThis script shows buy/sell signals in the direction of the trend.
MACD over the mid-line is Bullish
MACD below the mid-line is Bearish
Buy when we have crosses of the MACD above the mid-line
Sell when we have crosses of the MACD below the mid-line
You can adjust the settings to suit your trading needs.
Enjoy this indicator, Hope it can help you with your Trading Journey.
Brokerir - Order BlocksOrder Block Trading Script
Effectively Identify Supply and Demand Zones
In order to trade order blocks effectively, you need to identify key areas on the price chart where a large move has occurred. This script does the hard work of drawing order blocks for you, saving you time and effort.
Blue OB (Supply): Look for short opportunities (sell).
Green OB (Demand): Look for long opportunities (buy).
Important Notice:
Not every order block will be a valid buying or selling point. It’s essential to confirm order blocks with additional analysis to ensure reliability.
Alert System:
You can set two types of alerts with this script:
Buy Alert
Sell Alert
What are Order Blocks?
Order blocks are significant institutional buy or sell orders placed over a certain period. During these moments, institutional players are working to build up their positions, and these blocks often serve as strong support or resistance levels for future price action.
Release Notes – Published on Jan 25, 2025
Updated to PineScript v5 for enhanced performance.
Fixed alert bug for more reliable notifications.
Added clearer comments to improve code readability.
Added the option to customize the color of order blocks.
Median Deviation Bands | QuantumResearchIntroducing QuantumResearch’s Median Deviation Bands Indicator
The Median Deviation Bands indicator is an advanced volatility-based tool designed to help traders identify price trends, market reversals, and potential trading opportunities.
By using a percentile-based median baseline combined with standard deviation bands, this indicator provides a dynamic framework for analyzing price movements and assessing market volatility.
How It Works
Baseline Calculation:
The median price over a user-defined period (default: 50) is calculated using the 50th percentile of price data.
This serves as the central reference point for trend analysis.
Trend Identification:
Bullish Trend: Occurs when the price crosses above the baseline.
Bearish Trend: Occurs when the price crosses below the baseline.
Deviation Bands:
The indicator plots three sets of upper and lower bands, representing 1x, 2x, and 3x standard deviations from the median.
These bands act as dynamic support and resistance zones, helping traders identify overbought and oversold conditions.
Visual Representation
The Median Deviation Bands indicator offers a clear, customizable visual layout:
Color-Coded Baseline:
Green (Bullish): Price is above the median.
Red (Bearish): Price is below the median.
Deviation Bands:
First Band (Light Fill): Represents 1 standard deviation from the baseline.
Second Band (Medium Fill): Represents 2 standard deviations, highlighting stronger trends.
Third Band (Dark Fill): Represents 3 standard deviations, showing extreme price conditions.
Trend Markers:
Green Up Arrows: Indicate the start of a bullish trend when price crosses above the baseline.
Red Down Arrows: Indicate the start of a bearish trend when price crosses below the baseline.
Customization & Parameters
The Median Deviation Bands indicator includes multiple user-configurable settings to adapt to different trading strategies:
Baseline Length: Default set to 50, determines the lookback period for median calculation.
Source Price: Selectable input price for calculations (default: close).
Band Visibility: Traders can toggle individual deviation bands on or off to match their preferences.
Trend Markers: Option to enable or disable up/down trend arrows.
Color Modes: Choose from eight color schemes to customize the indicator’s appearance.
Trading Applications
This indicator is highly versatile and can be applied to multiple trading strategies, including:
Volatility-Based Trading: Price movement within and outside the bands helps traders gauge volatility and market conditions.
Trend Following: The baseline and deviation bands help confirm ongoing trends.
Mean Reversion Strategies: Traders can look for price reactions at extreme bands (±3 standard deviations).
Final Note
QuantumResearch’s Median Deviation Bands indicator provides a unique approach to market analysis by integrating percentile-based median price levels with standard deviation-based volatility bands.
This combination helps traders understand price behavior in relation to historical volatility, making it a valuable tool for both trend-following and mean-reversion strategies.
As always, backtesting and customization are recommended to optimize performance across different market conditions.
Combo Descomplica 1.0Este indicador contém 3 médias móveis e também um indicador para os níveis de Gamma do VIX
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
SMA 9, SMA 33 y HMA PersonalizablesUn indicador con SMA 9, SMA 33, y una HMA (Hull Moving Average) puede ser una herramienta útil para analizar tendencias, detectar cambios de dirección en el precio y tomar decisiones en el trading. Aquí te dejo algunas ideas de cómo podrías utilizarlo:
1. Detección de la Tendencia General
SMA 9 (corto plazo): Muestra la tendencia a corto plazo. Si el precio está por encima de esta línea, puede indicar un sesgo alcista a corto plazo.
SMA 33 (medio plazo): Muestra la tendencia a medio plazo. Es útil para confirmar la dirección de la tendencia principal.
HMA (Hull Moving Average): Es más rápida y suave que las SMAs, ideal para detectar giros de tendencia de manera temprana sin tanto ruido.
Estrategia básica:
Cuando las tres medias están alineadas (SMA 9 > SMA 33 > HMA apunta hacia arriba), se confirma una tendencia alcista.
Si el orden es el inverso (SMA 9 < SMA 33 y HMA apunta hacia abajo), se confirma una tendencia bajista.
2. Cruces entre las SMAs
Los cruces de medias móviles son señales comunes de compra o venta:
Señal de Compra: Cuando la SMA 9 cruza hacia arriba la SMA 33, puede ser una indicación de que la tendencia se está volviendo alcista.
Señal de Venta: Cuando la SMA 9 cruza hacia abajo la SMA 33, puede ser una señal de que la tendencia se está volviendo bajista.
Confirmación con la HMA: Antes de actuar, verifica si la HMA también está alineada con la dirección de la señal para reducir señales falsas.
3. Uso como Soporte y Resistencia Dinámicos
Las SMA 9 y 33 pueden actuar como niveles de soporte/resistencia dinámicos. Por ejemplo:
Si el precio está subiendo y retrocede hasta la SMA 9 o SMA 33, podría ser un buen punto para buscar entradas largas.
Lo mismo aplica en una tendencia bajista, pero a la inversa.
La HMA puede ayudarte a identificar si el retroceso es temporal o si es más probable que el precio cambie de tendencia.
4. Filtrado de Operaciones en Mercados Laterales
Si las SMA 9 y 33 están planas y el precio se mueve lateral
[CS] London/Tokyo Fix - PublicThe London & Tokyo Fix indicator is used to indicate the Fix levels for the two markets.
The London Fix is a daily global price set for precious metals, whereas the Tokyo Fix is the time when the benchmark rate for Japanese Yen is set. Often these times are followed with increased trading volumes and serves as good target levels for trade as price will often return to these levels.
Please note the current version needs to be set in 5m or lower timeframes for the Tokyo Fix to display correctly
