Smoothed Gaussian Trend Filter [AlgoAlpha]Experience seamless trend detection and market analysis with the Smoothed Gaussian Trend Filter by AlgoAlpha! This cutting-edge indicator combines advanced Gaussian filtering with linear regression smoothing to identify and enhance market trends, making it an essential tool for traders seeking precise and actionable signals.
Key Features :
🔍 Gaussian Trend Filtering: Utilizes a customizable Gaussian filter with adjustable length and pole settings for tailored smoothing and trend identification.
📊 Linear Regression Smoothing: Reduces noise and further refines the Gaussian output with user-defined smoothing length and offset, ensuring clarity in trend representation.
✨ Dynamic Visual Highlights: Highlights trends and signals based on volume intensity, allowing for real-time insights into market behavior.
📉 Choppy Market Detection: Identifies ranging or choppy markets, helping traders avoid false signals.
🔔 Custom Alerts: Set alerts for bullish and bearish signals, trend reversals, or choppy market conditions to stay on top of trading opportunities.
🎨 Color-Coded Visuals: Fully customizable colors for bullish and bearish signals, ensuring clear and intuitive chart analysis.
How to Use :
Add the Indicator: Add it to your favorites and apply it to your TradingView chart.
Interpret the Chart: Observe the trend line for directional changes and use the accompanying buy/sell signals for entry and exit opportunities. Choppy market conditions are flagged for additional caution.
Set Alerts: Enable alerts for trend signals or choppy market detections to act promptly without constant chart monitoring.
How It Works :
The Smoothed Gaussian Trend Filter uses a combination of advanced smoothing techniques to identify trends and enhance market clarity. First, a Gaussian filter is applied to price data, using a user-defined length (Gaussian length) and poles (smoothness level) to calculate an alpha value that determines the degree of smoothing. This creates a refined trend line that minimizes noise while preserving key market movements. The output is then further processed using linear regression smoothing, allowing traders to adjust the length and offset to flatten minor oscillations and emphasize the dominant trend. To incorporate market activity, volume intensity is analyzed through a normalized Hull Moving Average (HMA), dynamically adjusting the trend line's color transparency based on trading activity. The indicator also identifies trend direction by comparing the smoothed trend line with a calculated SuperTrend-style level, generating clear trend regimes and highlighting ranging or choppy conditions where trends are less reliable and avoiding false signals. This seamless integration of Gaussian smoothing, regression analysis, and volume dynamics provides traders with a powerful and intuitive tool for market analysis.
Indicadores e estratégias
RSI Volatility Suppression Zones [BigBeluga]RSI Volatility Suppression Zones is an advanced indicator that identifies periods of suppressed RSI volatility and visualizes these suppression zones on the main chart. It also highlights breakout dynamics, giving traders actionable insights into potential market momentum.
🔵 Key Features:
Detection of Suppression Zones:
Identifies periods where RSI volatility is suppressed and marks these zones on the main price chart.
Breakout Visualization:
When the price breaks above the suppression zone, the box turns aqua, and an upward label is drawn to indicate a bullish breakout.
If the price breaks below the zone, the box turns purple, and a downward label is drawn for a bearish breakout.
Breakouts accompanied by a "+" label represent strong moves caused by short-lived, tight zones, signaling significant momentum.
Wave Labels for Consolidation:
If the suppression zone remains unbroken, a "wave" label is displayed within the gray box, signifying continued price stability within the range.
Gradient Intensity Below RSI:
A gradient strip below the RSI line increases in intensity based on the duration of the suppressed RSI volatility period.
This visual aid helps traders gauge how extended the low volatility phase is.
🔵 Usage:
Identify Breakouts: Use color-coded boxes and labels to detect breakouts and their direction, confirming potential trend continuation or reversals.
Evaluate Market Momentum: Leverage "+" labels for strong breakout signals caused by short suppression phases, indicating significant market moves.
Monitor Price Consolidation: Observe gray boxes and wave labels to understand ongoing consolidation phases.
Analyze RSI Behavior: Utilize the gradient strip to measure the longevity of suppressed volatility phases and anticipate breakout potential.
RSI Volatility Suppression Zones provides a powerful visual representation of RSI volatility suppression, breakout signals, and price consolidation, making it a must-have tool for traders seeking to anticipate market movements effectively.
IU Trailing Stop Loss MethodsThe 'IU Trailing Stop Loss Methods' it's a risk management tool which allows users to apply 12 trailing stop-loss (SL) methods for risk management of their trades and gives live alerts when the trailing Stop loss has hit. Below is a detailed explanation of each input and the working of the Script.
Main Inputs:
- bar_time: Specifies the date from which the trade begins and entry price will be the open of the first candle.
- entry_type: Choose between 'Long' or 'Short' positions.
- trailing_method: Select the trailing stop-loss method. Options include ATR, Parabolic SAR, Supertrend, Point/Pip based, Percentage, EMA, Highest/Lowest, Standard Deviation, and multiple target-based methods.
- exit_after_close: If checked, exits the trade only after the candle closes.
Optional Inputs:
ATR Settings:
- atr_Length: Length for the ATR calculation.
- atr_factor: ATR multiplier for SL calculation.
Parabolic SAR Settings:
- start, increment, maximum: Parameters for the Parabolic SAR indicator.
Supertrend Settings:
- supertrend_Length, supertrend_factor: Length and factor for the Supertrend indicator.
Point/Pip Based:
- point_base: Set trailing SL in points/pips.
Percentage Based:
- percentage_base: Set SL as a percentage of entry price.
EMA Settings:
- ema_Length: Length for EMA calculation.
Standard Deviation Settings:
- std_Length, std_factor: Length and factor for standard deviation calculation.
Highest/Lowest Settings:
- highest_lowest_Length: Length for the highest/lowest SL calculation.
Target-Based Inputs:
- ATR, Point, Percentage, and Standard Deviation based target SL settings with customizable lengths and multipliers.
Entry Logic:
- Trades initiate based on the entry_type selected and the specified bar_time.
- If Long is selected, a long trade is initiated when the conditions match, and vice versa for Short.
Trailing Stop-Loss (SL) Methods Explained:
The strategy dynamically adjusts stop-loss based on the chosen method. Each method has its calculation logic:
- ATR: Stop-loss calculated using ATR multiplied by a user-defined factor.
- Parabolic SAR: Uses the Parabolic SAR indicator for trailing stop-loss.
- Supertrend: Utilizes the Supertrend indicator as the stop-loss line.
- Point/Pip Based: Fixed point-based stop-loss.
- Percentage Based: SL set as a percentage of entry price.
- EMA: SL based on the Exponential Moving Average.
- Highest/Lowest: Uses the highest high or lowest low over a specified period.
- Standard Deviation: SL calculated using standard deviation.
Exit Conditions:
- If exit_after_close is enabled, the position will only close after the candle confirms the stop-loss hit.
- If exit_after_close is disabled, the strategy will close the trade immediately when the SL is breached.
Visualization:
The script plots the chosen trailing stop-loss method on the chart for easy visualization.
Target-Based Trailing SL Logic:
- When a position is opened, the strategy calculates the initial stop-loss and progressively adjusts it as the price moves favorably.
- Each SL adjustment is stored in an array for accurate tracking and visualization.
Alerts and Labels:
- When the Entry or trailing stop loss is hit this scripts draws a label and give alert to the user that trailing stop has been hit for the trade.
Note - on the historical data The Script will show nothing if the entry and the exit has happened on the same candle, because we don't know what was hit first SL or TP (basically how the candle was formed on the lower timeframe).
Summary:
This script offers flexible trailing stop-loss options for traders who want dynamic risk management in their strategies. By offering multiple methods like ATR, SAR, Supertrend, and EMA, it caters to various trading styles and risk preferences.
TASC 2025.02 Autocorrelation Indicator█ OVERVIEW
This script implements the Autocorrelation Indicator introduced by John Ehlers in the "Drunkard's Walk: Theory And Measurement By Autocorrelation" article from the February 2025 edition of TASC's Traders' Tips . The indicator calculates the autocorrelation of a price series across several lags to construct a periodogram , which traders can use to identify market cycles, trends, and potential reversal patterns.
█ CONCEPTS
Drunkard's walk
A drunkard's walk , formally known as a random walk , is a type of stochastic process that models the evolution of a system or variable through successive random steps.
In his article, John Ehlers relates this model to market data. He discusses two first- and second-order partial differential equations, modified for discrete (non-continuous) data, that can represent solutions to the discrete random walk problem: the diffusion equation and the wave equation. According to Ehlers, market data takes on a mixture of two "modes" described by these equations. He theorizes that when "diffusion mode" is dominant, trading success is almost a matter of luck, and when "wave mode" is dominant, indicators may have improved performance.
Pink spectrum
John Ehlers explains that many recent academic studies affirm that market data has a pink spectrum , meaning the power spectral density of the data is proportional to the wavelengths it contains, like pink noise . A random walk with a pink spectrum suggests that the states of the random variable are correlated and not independent. In other words, the random variable exhibits long-range dependence with respect to previous states.
Autocorrelation function (ACF)
Autocorrelation measures the correlation of a time series with a delayed copy, or lag , of itself. The autocorrelation function (ACF) is a method that evaluates autocorrelation across a range of lags , which can help to identify patterns, trends, and cycles in stochastic market data. Analysts often use ACF to detect and characterize long-range dependence in a time series.
The Autocorrelation Indicator evaluates the ACF of market prices over a fixed range of lags, expressing the results as a color-coded heatmap representing a dynamic periodogram. Ehlers suggests the information from the periodogram can help traders identify different market behaviors, including:
Cycles : Distinguishable as repeated patterns in the periodogram.
Reversals : Indicated by sharp vertical changes in the periodogram when the indicator uses a short data length .
Trends : Indicated by increasing correlation across lags, starting with the shortest, over time.
█ USAGE
This script calculates the Autocorrelation Indicator on an input "Source" series, smoothed by Ehlers' UltimateSmoother filter, and plots several color-coded lines to represent the periodogram's information. Each line corresponds to an analyzed lag, with the shortest lag's line at the bottom of the pane. Green hues in the line indicate a positive correlation for the lag, red hues indicate a negative correlation (anticorrelation), and orange or yellow hues mean the correlation is near zero.
Because Pine has a limit on the number of plots for a single indicator, this script divides the periodogram display into three distinct ranges that cover different lags. To see the full periodogram, add three instances of this script to the chart and set the "Lag range" input for each to a different value, as demonstrated in the chart above.
With a modest autocorrelation length, such as 20 on a "1D" chart, traders can identify seasonal patterns in the price series, which can help to pinpoint cycles and moderate trends. For instance, on the daily ES1! chart above, the indicator shows repetitive, similar patterns through fall 2023 and winter 2023-2024. The green "triangular" shape rising from the zero lag baseline over different time ranges corresponds to seasonal trends in the data.
To identify turning points in the price series, Ehlers recommends using a short autocorrelation length, such as 2. With this length, users can observe sharp, sudden shifts along the vertical axis, which suggest potential turning points from upward to downward or vice versa.
measure last swing [keypoems]MEASURE LAST SWING
Version: v0.0.7
An indicator for measuring market swings and calculating position sizing based on pivot points and risk parameters. Helps traders visualize price swings and automatically compute position sizes based on their desired risk amount.
FEATURES:
• Identifies and tracks last pivot point in price action
• Displays visual measurements of price swing
• Calculates position sizes based on risk parameters
• Supports major futures contracts with automatic multiplier detection
HOW IT WORKS:
The indicator detects pivot highs and lows using your specified pivot strength, then draws measurement lines and calculates position sizes based on your risk parameters. It automatically cleans up old drawings when new pivot points are identified.
INPUT PARAMETERS:
General Settings:
• Risk Amount - Amount you want to risk per trade
• Pivot Strength - Bars required on either side to confirm a pivot
• Offset - Number of bars to offset the vertical line
Visual Settings:
• Horizontal and Vertical Lines - Customizable colors, widths (1-4), and styles
• Labels - Adjustable text color and size
CONTRACT MULTIPLIERS:
Automatically detects and applies the correct multiplier:
• ES (E-mini S&P 500): 50.0
• MES (Micro E-mini S&P 500): 5.0
• NQ (E-mini Nasdaq): 20.0
• MNQ (Micro E-mini Nasdaq): 2.0
• YM (E-mini Dow): 5.0
• MYM (Micro E-mini Dow): 0.5
• Other symbols: 1.0 (default)
DISPLAY ELEMENTS:
1. Horizontal line showing the level of the last pivot point
2. Vertical line measuring the distance to current price
3. Distance label showing point distance
4. Risk/Position label showing risk amount and calculated position size
POSITION SIZING:
Position Size = Floor(Risk Amount / (Distance in Points × Contract Multiplier))
IDEAL FOR:
• Measuring price swings for technical analysis
• Position sizing based on risk management rules
• Identifying potential entry and exit points
• Visual analysis of market structure
• Risk management automation
Chart InfoOVERVIEW
What would a general summary of the symbol on the chart look like? Here’s an example: This script was created to help you easily access the essential details of a symbol, which I believe are critical for daily use.
CONCEPTS
When using any indicator or analysing price movement, the characteristics of the chart become important. Each symbol has a unique character and the more we can quickly find out about it, the better. Instead of embedding those details within each individual indicator, it is often more practical to access these data through an external tool. This indicator presents the following results related to the symbol on your chart in a table format:
ID : Ticker ID (Exchange, Base Currency, and Quote Currency)
TIMEFRAME : The chart's time period
START : The starting date of the chart
FINISH : The finishing date of the chart
INTERVAL : The total time between the start and finish dates (based on timeframe). The current bar is not included in the total time until it is closed.
BAR INDEX : The total number of bars on the chart (can also be viewed in both forward and backward directions in the data window as a series type).
VOLATILITY : Percentage ratio of 14-bar ATR to close.
CHANGE : The daily percentage change.
HODL : The percentage return that would be gained if the symbol had been bought and held since the first bar.
DAILY BUY : The percentage return that would be gained if the same amount of buying was made daily (a kind of DCA).
MECHANICS
This is a very simple script. I didn't add user-defined timestamp inputs because I didn’t want to overwhelm the indicator with parameters. However, if requested, i can make improvements in this direction in a second version.
NOTES
I live in Istanbul, so I designed the default timezone offset as GMT+3. Please remember to adjust it according to your own timezone to ensure the date results are accurate.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
369 TPF369 Frequency using futures contracts.its using the 369 frequency lines to find the cycle for a buy or sell entry
Intraday Strategy with VWAP, Fibonacci, RSI, and SMAThis Pine Script code defines a TradingView strategy for intraday trading, integrating multiple indicators and techniques, including VWAP, Fibonacci retracements, RSI, and SMA. Below is an explanation of the components:
Strategy Definition:
The script is titled "Intraday Strategy with VWAP, Fibonacci, RSI, and SMA".
The strategy is set to overlay on the price chart for easy visualization.
Input Settings:
RSI Length: Defines the period for calculating the RSI (default: 14).
Fibonacci Lookback Period: Determines the range for Fibonacci retracement levels.
VWAP Timeframe: Allows the user to specify the timeframe for VWAP calculations.
SMA Length: Sets the period for calculating the SMA (default: 9).
Indicators:
RSI: Used to determine overbought or oversold conditions.
SMA (Simple Moving Average): Used to identify trend direction and potential price crossovers.
VWAP (Volume Weighted Average Price): Used to identify price levels relative to volume.
Fibonacci Retracements: Calculates key levels (0.382 and 0.618) for potential price reactions.
Trading Conditions:
Buy Signal:
RSI crosses above 30.
Price is within the Fibonacci retracement zone.
Price is above the VWAP.
Alternatively, price crosses above the SMA.
Sell Signal:
RSI crosses below 70.
Price is within the Fibonacci retracement zone.
Price is below the VWAP.
Alternatively, price crosses below the SMA.
Trade Execution:
If a buy signal (finalBuySignal) is triggered, the strategy enters a long position.
If a sell signal (finalSellSignal) is triggered, the strategy enters a short position.
Plotting:
Buy and sell signals are plotted on the chart with green and red markers, respectively.
VWAP is displayed in blue.
SMA is displayed in yellow.
Fibonacci retracement levels are shown as orange (upper) and purple (lower) lines.
Purpose:
Daily Close Levels with ATR and Custom OffsetsDescription:
This Pine Script visualizes daily close levels, calculates key price zones based on custom offsets and ATR (Average True Range), and is an essential tool for traders analyzing support and resistance zones.
Features
Close Value Line: Displays the daily close value as a line on the chart.
ATR Values: Shows the ATR value in both price and tick format.
Custom Offsets:
Calculates positive and negative price levels based on a user-defined tick offset.
Supports multipliers for extended zones (e.g., 2x offset).
Labels:
Displays the close value and ATR on the chart.
Annotates calculated price levels directly on the corresponding lines.
Time Control: Calculates levels at a user-defined hour (e.g., 20:00).
Customizable Parameters:
Close Time (Hour): Choose the specific hour for analyzing the close price.
Custom Line Offset: Define the price offset in ticks.
ATR Length: Adjust the ATR calculation length.
Timezone Offset: Supports time adjustments for different time zones.
Enable/Disable Labels and Values: Toggle the display of labels and values on the chart.
Smart Moving AveragesSmart Moving Averages analyzes the dynamic interplay between price action and multiple moving averages to identify high-probability support and resistance zones.
The script's distinguishing features include:
Bounce detection that filters out noise by requiring specific penetration thresholds (0.1-1.5%), helping traders identify genuine support tests versus false signals
Real-time MA clustering analysis that reveals zones where multiple moving averages converge, indicating potentially stronger support/resistance levels
Statistical tracking of bounce success rates for each MA, allowing traders to identify which moving averages are most reliable for the current market conditions
Power bounce detection that combines EMA spread analysis with trend confirmation, highlighting especially strong bullish setups
Visual stack status system that instantly communicates market health through an intuitive color-coded display showing how many MAs are below price
The script helps traders make more informed decisions by quantifying the historical reliability of different moving averages while providing real-time analysis of MA interactions with price. This systematic approach moves beyond simple MA crossovers to identify higher probability trading opportunities.
Squeeze Momentum Indicator v1 by KevyStocksReach out for my exact settings.
Some things I would like to change/add in the next version are: \
Allow plot sizes to be customizable
Default arrow colors to red or green
Squeeze Dashboard - when in a squeeze, and when squeeze released to upside, and squeeze released to downside.
Add Previous Day High
Add Previous Day Low
Add Previous Day 50% Marker
Add Golden Pocket Fibonacci
Fibonacci Düzeltme SeviyeleriBelirtilen bar sayısı ve fibonacci değerlerine göre fibonacci düzeltme seviyelerini grafik üzerinde çizer. Eğer grafikte belirtilenden daha az bar var ise bu durumda grafikte yer alan max bar sayısını dikkate alarak çizim yapar.
Harmonic Heikin-Ashi TraderHarmonic Heikin-Ashi Trader
A comprehensive tool for traders who prefer a blend of trend analysis and technical signals. This script offers:
Heikin-Ashi Candles
Smoothens market noise to help identify trends with ease.
Candles change dynamically based on calculated Heikin-Ashi open, high, low, and close.
Custom Background Color
Customize the chart's background for improved clarity and focus.
EMAs with Buy/Sell Signals
Two customizable Exponential Moving Averages (EMAs).
Visual buy/sell signals when EMA crossover events occur.
MACD Integration
Detect momentum shifts with the classic MACD indicator.
Configurable fast, slow, and signal line parameters.
Generates buy/sell signals for actionable insights.
Customizable Display
Toggle signal visibility for a cleaner or more detailed chart.
Price line harmonized with the background color.
Harmonic Heikin-Ashi Trader is designed for all trading styles and enhances decision-making in dynamic markets.
Mxwll Hedge Suite [Mxwll]Hello Traders!
The Mxwll Hedge Suite determines the best asset to hedge against the asset on your chart!
By determining correlation between the asset on your chart and a group of internally listed assets, the Mxwll Hedge Suite determines which asset from the list exhibits the highest negative correlation, and then determines exactly how many coins/shares/contracts of the asset must be bought to achieve a perfect 1:1 hedge!
The image above exemplifies the process!
The purple box on the chart shows the eligible price action used to determine correlation between the asset on my chart (BTCUSDT.P) and the list of cryptocurrencies that can be used as a hedge!
From this price action, the coin determined to have to greatest negative correlation to BTCUSDT.P is FTMUSD.
The image above further outlines the hedge table located in the bottom-right corner of your chart!
The hedge table shows exactly how many coins you’d need to purchase for the hedge asset at various leverages to achieve a perfect 1:1 hedge!
Hedge Suite works on any asset on any timeframe!
And that’s all! A short and sweet script that is hopefully helpful to traders looking to hedge their positions with a negatively correlated asset!
Thank you, Traders!
Order Blocks with Volume Heatmap & Clusters - VK TradingOrder Blocks with Volume Heatmap & Clusters - VK Trading
This script is designed to identify and highlight Order Blocks, a key concept in institutional trading, and combines it with powerful tools like volume heatmaps and accumulation clusters for enhanced market analysis. Suitable for traders of all experience levels, this script provides a clear and customizable visualization to help identify significant market zones effectively.
What Does This Script Do?
Order Block Identification: Highlights bullish and bearish order blocks directly on the chart, making it easier to spot key supply and demand zones.
Volume Heatmap: A dynamic heatmap adjusts colors based on relative volume, allowing you to quickly identify areas of heightened activity.
Institutional Accumulation Clusters: Zones of potential institutional accumulation are calculated using a combination of ATR (Average True Range), standardized volume, and RSI (Relative Strength Index).
Automatic Clearing: Invalidated order blocks are automatically removed, ensuring your charts remain clean and focused.
Key Features
Customizable Sensitivity: Adjust the script’s sensitivity to tailor order block detection to different market conditions and strategies.
Advanced Volume Display Options: Toggle volume visibility on or off. Customize the position, size, and color of volume labels for better integration with your chart's design.
Dynamic Heatmap Intensity: Fine-tune the heatmap’s intensity and color to highlight areas of interest based on trading volume.
Dual Order Block Detection: Uses two independent detection settings to analyze the market from multiple perspectives.
Visual Alerts: Automatically draws key level lines based on detected order blocks for better clarity.
User Benefits:
Clear Market Analysis: Helps pinpoint institutional activity and key levels with minimal effort.
Increased Efficiency: Automates plotting and analysis, allowing you to focus on decision-making.
Versatile Compatibility: Complements strategies like Smart Money Concepts, Wyckoff, and Price Action approaches.
Disclaimer
This script is intended as an analytical and educational tool. It does not guarantee specific outcomes or eliminate trading risks. Use this tool at your own discretion and always practice proper risk management.
QQE MT4 V5 Glaz-modified by JustUncleL (updated)Thanks JustUnclel hope your posts last forever. Script updated to Version 5. RIP JustUncleL
NAMA Stochastic RSI - Quan DaoThanks for many follows in the beginning of 2025.
I would love to share publicly a new indicator with all of you to show my gratitude.
It's a simple oscillator, using my NAMA moving average at the core of the RSI of the Stochastic RSI indicator.
Probably should be used for long-term investment, as I set the default period for the stochastic pretty big.
The use is pretty forward:
- When you have the green arrow at the bottom, it's time to consider a buy.
- When you have the red arrow at the top, it's time to consider a sell.
I would love to hear your feedback on how you used it and if it's useful for you at all.
Cheers,
[blackcat] L1 Small Wave Operation L1 Small Wave Operation
Overview
Are you looking to catch those elusive small waves in the market? Look no further than " L1 Small Wave Operation." This script offers a unique way to identify potential buying opportunities by analyzing price movements, volume changes, and trend directions. With customizable inputs and clear visual indicators, it’s designed to help traders spot favorable entry points with precision.
Features
Dynamic Signal Identification: Automatically detects two types of buy signals labeled "S" and "B."
Adaptable Parameters: Allows users to adjust low period, high period, EMA periods, SMA period, and various threshold values to fine-tune the strategy.
Visual Clarity: Plots K and D lines along with four distinct threshold levels for easy visualization.
Condition-Based Signals: Uses multiple conditions including volume increases, price actions, and crossover events to confirm signals.
How It Works
Calculate Percent Range: Determines where the current closing price lies within the recent low and high range.
Compute Moving Averages: Calculates Exponential Moving Average (EMA) and Simple Moving Average (SMA) of the percent range.
Define Conditions: Checks for bullish or strong bullish patterns, uptrends, and specific crossover events between K and D lines.
Generate Signals: Marks potential buying opportunities when predetermined conditions are met.
How To Use
Add this script to your TradingView chart.
Adjust the input parameters according to your preferred settings.
Monitor the plotted lines and look for "S" and "B" labels indicating buy signals.
Consider incorporating these signals into a broader trading strategy that includes risk management techniques.
What Makes It Special
Flexibility: Users can easily modify parameters to adapt the script to different markets or personal preferences.
Automation: Saves time by automatically scanning for trade setups based on predefined rules.
Comprehensive Analysis: Combines multiple factors like volume, price action, and moving averages to provide reliable signals.
Limitations
Past performance does not guarantee future results.
Market conditions can vary, affecting signal reliability.
Not suitable for very short-term trades without additional refinements.
Notes
Always perform backtesting on historical data before implementing live trades.
Understand the underlying logic of the script to avoid misinterpretation of signals.
Regularly review and adjust parameters based on changing market dynamics.
Strategy with MACD and EMA"Strategy with MACD and EMA"
This is a simple strategy designed to enter LONG positions when the MACD crossover occurs below the 0 point and the price is above the EMA (200), and SHORT when the reverse conditions are met.
With TradingView's premium options, you can perform backtesting to obtain a more reliable sample, but I recommend not exceeding more than 3 months for the 5-minute timeframe.
The ratio is set by default to 2:1. You can modify the Take Profit (TP), Stop Loss (SL), EMA length, and MACD settings.
My advice is to perform backtesting on pairs that adapt best to it.
It is recommended to periodically change the pairs that fit the strategy best or adjust the TP/SL, as volatility changes constantly.
A pair may work better for LONG positions than for SHORT , and vice versa.
The strategy is initially designed for use with the 5-minute timeframe, but it can be adapted to any timeframe and asset (stocks, cryptocurrencies, etc.).
If your exchange charges a 0.05% commission per trade, the strategy must have at least a 36.67% win rate to be profitable with the established TP/SL parameters.
The source code is open for customization and modification.
----------------------------------------------------------------------------------------------
Esta es una estrategia simple, diseñada para entrar en posiciones LONG cuando el cruce del MACD ocurre por debajo del punto 0 y el precio se encuentra sobre la EMA (200), y en posiciones SHORT cuando se da todo a la inversa.
Con las opciones premium de TradingView, puedes realizar análisis retroactivos para obtener una muestra más confiable, pero recomiendo que no se exceda más de los 3 meses para la temporalidad de 5 minutos.
El ratio está predeterminado en 2:1. Puedes modificar el Take Profit (TP), Stop Loss (SL), la longitud de la EMA y la configuración del MACD.
Mi consejo es hacer backtesting en los pares que mejor se adapten a ella.
Es recomendable cambiar con periodicidad los pares que más se adapten a la estrategia o ajustar el TP/SL, ya que la volatilidad varía constantemente.
Un par puede funcionar mejor para posiciones LONG que para SHORT , y viceversa.
La estrategia inicialmente está pensada para usarse en temporalidad de 5 minutos, pero puede adaptarse a cualquier temporalidad y activo (acciones, criptomonedas, etc.).
Si tu exchange cobra un 0,05% de comisión por operación, la estrategia debe tener al menos un 36,67% de acierto para ser rentable bajo los parámetros de TP/SL preestablecidos.
El código fuente está abierto para su personalización y modificación.
REVERSÃO POR ZONA DE RSI//@version=5
indicator('REVERSÃO POR ZONA DE RSI- I', overlay=false)
//functions
xrf(values, length) =>
r_val = float(na)
if length >= 1
for i = 0 to length by 1
if na(r_val) or not na(values )
r_val := values
r_val
r_val
xsa(src, len, wei) =>
sumf = 0.0
ma = 0.0
out = 0.0
sumf := nz(sumf ) - nz(src ) + src
ma := na(src ) ? na : sumf / len
out := na(out ) ? ma : (src * wei + out * (len - wei)) / len
out
// inputs
n1 = input.int(30, title='n1', minval=1)
//threshold lines
h1 = hline(50, color=color.red, linestyle=hline.style_dotted)
h2 = hline(50, color=color.green, linestyle=hline.style_dotted)
h3 = hline(10, color=color.lime, linestyle=hline.style_dotted)
h4 = hline(90, color=color.red, linestyle=hline.style_dotted)
fill(h2, h3, color=color.new(color.green, 70))
fill(h1, h4, color=color.new(color.red, 70))
//KDJ indicator
rsv = (close - ta.lowest(low, n1)) / (ta.highest(high, n1) - ta.lowest(low, n1)) * 100
k = xsa(rsv, 3, 1)
d = xsa(k, 3, 1)
crossover_1 = ta.crossover(k, d)
buysig = d < 25 and crossover_1 ? 30 : 0
crossunder_1 = ta.crossunder(d, k)
selsig = d > 75 and crossunder_1 ? 70 : 100
//plot buy and sell signal
ple = plot(buysig, color=color.new(color.green, 0), linewidth=1, style=plot.style_area)
pse = plot(selsig, color=color.new(color.red, 0), linewidth=2, style=plot.style_line)
//plot KD candles
plotcandle(k, d, k, d, color=k >= d ? color.green : na)
plotcandle(k, d, k, d, color=d > k ? color.red : na)
// KDJ leading line
var1 = (close - ta.sma(close, 13)) / ta.sma(close, 13) * 100
var2 = (close - ta.sma(close, 26)) / ta.sma(close, 21) * 100
var3 = (close - ta.sma(close, 90)) / ta.sma(close, 34) * 100
var4 = (var1 + 3 * var2 + 9 * var3) / 13
var5 = 100 - math.abs(var4)
var10 = ta.lowest(low, 10)
var13 = ta.highest(high, 25)
leadingline = ta.ema((close - var10) / (var13 - var10) * 4, 4) * 25
pbias = plot(leadingline, color=k >= d ? color.green : color.red, linewidth=4, style=plot.style_line, transp=10)
Precision Trade Zone By KittisakThis indicator is designed for Money Management calculations, helping to facilitate risk management in trading, determining suitable leverage based on acceptable risk, and adjusting the Stop Loss level to align with the calculated leverage.
Abbreviation Descriptions
LR : Suitable Leverage.
EP : Entry Price.
BEP : Break-Even Point (a point where you can move your Stop Loss to prevent losses once the price reaches a certain level).
SL : Stop Loss (a recalculated Stop Loss level to match the leverage. You should use this as the Stop Loss price instead of the initial level you set).
TP : Take Profit (a point where you take profit based on the defined risk-reward ratio).
Note
When first activating the indicator, an error may occur, and no output will be displayed. This happens because you must first specify the Entry Price and Stop Loss in the indicator settings.
How Much Leverage Should You Use?
It may seem like a simple question but is difficult to answer.
Method for Calculating Suitable Leverage
Use the formula:
Leverage = Acceptable Loss / (Distance between Entry Price and Stop Loss + (Buy Fee + Sell Fee))
Calculating the Correct Stop Loss Point
(Stop Loss levels will be slightly adjusted or extended)
For Long Positions :
New Stop Loss = Entry Price * (1 - Acceptable Loss / (Calculated Leverage * 100))
For Short Positions :
New Stop Loss = Entry Price * (1 + Acceptable Loss / (Calculated Leverage * 100))
Calculating the Correct Take Profit Point
(Take Profit levels will be slightly adjusted or extended)
For Long Positions :
Take Profit = Entry Price * (1 + (Acceptable Loss / (Calculated Leverage * 100) * RR) + ((Buy Fee + Sell Fee) / 100))
For Short Positions :
Take Profit = Entry Price * (1 - (Acceptable Loss / (Calculated Leverage * 100) * RR) + ((Buy Fee + Sell Fee) / 100))
Benefits of This Calculation
1. Accurate Risk Assessment
The calculated leverage accounts for trading fees. For example, if you aim for a 2% loss, this method ensures the actual loss is exactly 2%, not more (e.g., 2% plus fees).
2. Eliminates Guesswork
Randomly setting leverage can lead to risks because the Stop Loss level may not align with your position. This calculation ensures that the leverage aligns precisely with your desired Stop Loss level.
3. Realistic Profit Targets
For example, with a 2% acceptable loss and a 1:2 RR, you expect a 4% profit. However, without this calculation, fees may reduce your profit below 4%. This method includes fees, ensuring your profit matches the intended target.
Caution
This indicator does not account for slippage or requotes. Use it with caution and allow a buffer for slippage in your calculations.
Indicator นี้มีไว้สำหรับคำนวณ Money Management ซึ่งจะช่วยอำนวยความสะดวกในการจัดการความเสี่ยงในการเทรด การคำนวณ Leverage ที่เหมาะสมกับความเสี่ยงที่คุณยอมรับได้ และจัดการจุด Stop Loss ให้เหมาะสมกับ Leverage นั้น
คำอธิบายเกี่ยวกับคำย่อ
LR หมายถึง Leverage ที่เหมาะสม
EP หมายถึง Entry Price หรือราคาเข้าซื้อ
BEP หมายถึง Break-Even Point หรือจุดคุ้มทุน (คุณสามารถย้าย Stop Loss มาที่จุดนี้เมื่อราคาไปถึงจุดหนึ่งเพื่อป้องกันการขาดทุนได้)
SL หมายถึง Stop Loss (ซึ่งเป็น Stop Loss ที่คำนวณใหม่เพื่อให้ตำแหน่งเหมาะสมกับ Leverage ที่คำนวณได้ คุณควรใช้จุดนี้เพื่อเป็นราคา Stop Loss แทนจุด Stop Loss ที่คุณกำหนดไว้ในตอนแรก)
TP หมายถึง Take Profit (เป็นจุดที่คุณจะขายทำกำไรตาม RR ที่กำหนดไว้)
* หมายเหตุ เมื่อเริ่มเปิด Indicator จะเกิด Error ขึ้น และไม่มีผลลัพท์ใด ๆ แสดงให้เห็น นั่นเป็นเพราะคุณต้องเข้าไปกำหนด Entry Price และ Stop Loss ในการตั้งค่าของ Indicator เสียก่อน
ต้องใช้ Leverage เท่าไหร่? มันเป็นคำถามที่ดูเหมือนง่าย แต่ตอบยาก
วิธีคำนวณ Leverage ที่เหมาะสม ใช้สมการคือ
Levarage = การขาดทุนที่ยอมรับได้ / (ระยะห่างระหว่าง Entry Price และ Stop Loss + (ค่าธรรมเนียมซื้อ + ค่าธรรมเนียมขาย))
นำผลลัพท์ Leverage ที่ได้มาคำนวณเพื่อหาจุด Stop Loss ที่ถูกต้อง (จุดของ Stop Loss จะมีการยืดขยายออกไปเล็กน้อย) โดยใช้สมการ
ตำแหน่ง Stop Loss ใหม่ = Entry Price * (1 - การขาดทุนที่ยอมรับได้ / (Leverage ที่คำนวณได้ * 100)) // สำหรับ Long
ตำแหน่ง Stop Loss ใหม่ = Entry Price * (1 + การขาดทุนที่ยอมรับได้ / (Leverage ที่คำนวณได้ * 100)) // สำหรับ Short
นำผลลัพท์ Leverage ที่ได้มาคำนวณเพื่อหาจุด Take Profit ที่ถูกต้อง (จุดของ Take Profit จะมีการยืดขยายออกไปเล็กน้อย) โดยใช้สมการ
ตำแหน่ง Take Profit = Entry Price * (1 + (การขาดทุนที่ยอมรับได้ / (Leverage ที่คำนวณได้ * 100) * RR) + ((ค่าธรรมเนียมซื้อ + ค่าธรรมเนียมขาย) / 100)) // สำหรับ Long
ตำแหน่ง Take Profit = Entry Price * (1 - (การขาดทุนที่ยอมรับได้ / (Leverage ที่คำนวณได้ * 100) * RR) + ((ค่าธรรมเนียมซื้อ + ค่าธรรมเนียมขาย) / 100)) // สำหรับ Short
ข้อดีของการคำนวณคือ
1. คุณจะได้ค่า Leverage ที่เหมาะสมกับความเสี่ยงที่คุณยอมรับได้โดยรวมค่าธรรมเนียมเข้าไปในนั้นแล้ว นั่นหมายความว่า ความสูญเสียจะเป็น 2% (ตามตัวอย่าง) จริง ๆ ไม่ใช่ 2% และถูกหักค่าธรรมเนียมเพิ่มอีก กลายเป็นสูญเสียมากกว่า 2%
2. การตั้ง Leverage มั่ว ๆ กลายเป็นความเสี่ยง นั่นเพราะตำแหน่งของ Stop Loss ไม่ได้อยู่ในจุดที่ควรจะเป็น การคำนวณนี้ช่วยให้คุณได้ Leverage ในตำแหน่ง Stop Loss ที่คุณต้องการโดยแท้จริง
3. ผลกำไรที่ได้รับตรงกับความต้องการจริง ๆ เช่น การขาดทุนที่ยอมรับได้ 2% และ RR 1:2 สิ่งที่คุณคิดคือกำไร 4% แต่จริง ๆ แล้วไม่ถึง 4% นั่นเพราะว่าโดนหักค่าธรรมเนียมไปส่วนหนึ่ง การคำนวณนี้ได้รวมค่าธรรมเนียมให้แล้ว คุณจึงได้กำไรที่ 4% อย่างถูกต้องตามต้องการ
ข้อควรระวัง
Indicator นี้ไม่ได้มีการควบคุมความเสี่ยงในเรื่องของ slippage หรือ requote โปรดใช้งานอย่างระมัดระวังและมีการเผื่อระยะสำหรับ slippage ด้วย
Volumen y TendenciasJAMESIndicador: VolumenTendencia Pro**
Descripción general:
El indicador JAMESVolumenTendencia Pro es una herramienta avanzada diseñada para ayudar a los traders a identificar puntos clave de entrada y salida en el mercado mediante el análisis combinado de volumen, tendencias y volatilidad. Utiliza una serie de indicadores técnicos, como el **Volumen Relativo (RVOL)**, el *MACD**, el *RSI*, y el *Oscilador Volumen-ATR*, para proporcionar señales claras que pueden ayudar a los traders a tomar decisiones informadas.
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Componentes del Indicador:
1. Volumen Relativo (RVOL):
- Calcula la relación entre el volumen actual y el volumen promedio durante un período específico.
- Un valor alto de RVOL (mayor que 1.5) indica que el volumen está significativamente por encima de su promedio histórico, lo que podría ser una señal de que algo importante está ocurriendo en el mercado.
- Se utiliza para identificar cuando el mercado está experimentando un aumento anormal en la actividad.
2. MACD (Moving Average Convergence Divergence):
- El MACD es un indicador de momento que mide la diferencia entre dos medias móviles exponenciales: una rápida (12) y una lenta (26).
- La línea de señal del MACD se calcula como una media exponencial de la línea MACD (con un período de 9).
- El histograma del MACD representa la diferencia entre la línea MACD y la línea de señal, y ayuda a identificar cambios en la tendencia.
- Un histograma positivo sugiere una tendencia alcista, mientras que un histograma negativo indica una tendencia bajista.
3. RSI (Relative Strength Index):
- El RSI mide la magnitud de los movimientos recientes de los precios para determinar las condiciones de sobrecompra o sobreventa del activo.
- Un valor de RSI superior a 70 indica que el activo podría estar sobrecomprado (potencial para una reversión bajista).
- Un valor de RSI inferior a 30 sugiere que el activo podría estar sobrevendido (potencial para una reversión alcista).
4. Oscilador Volumen-ATR:
- Este oscilador mide la relación entre el volumen y el ATR (Average True Range), lo que proporciona una medida de la volatilidad en relación con el volumen.
- Ayuda a identificar cuándo el volumen aumenta en relación con la volatilidad del mercado.
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Cómo Aprovechar el Indicador:
1. Señales de Compra:
- Condiciones:
- El *Volumen Relativo (RVOL)* es superior al umbral establecido (por ejemplo, 1.5), lo que indica un aumento significativo en el volumen.
- El *RSI* está por debajo de 30, lo que sugiere que el activo está sobrevendido y podría estar listo para una reversión alcista.
- El *histograma del MACD* es positivo, lo que indica que la tendencia es alcista.
- Interpretación:
- Cuando estas condiciones se cumplen, el indicador genera una señal de compra, que se marca con una etiqueta verde ("BUY") en el gráfico.
- También se cambia el color de fondo del gráfico a verde para resaltar que el mercado podría estar en una fase alcista.
2. Señales de Venta:
- Condiciones:
- El *Volumen Relativo (RVOL)* es superior al umbral, lo que indica un aumento significativo en el volumen.
- El *RSI* está por encima de 70, lo que sugiere que el activo está sobrecomprado y podría estar listo para una reversión bajista.
- El *histograma del MACD* es negativo, lo que indica que la tendencia es bajista.
- Interpretación:
- Cuando estas condiciones se cumplen, el indicador genera una señal de venta, que se marca con una etiqueta roja ("SELL") en el gráfico.
- También se cambia el color de fondo del gráfico a rojo para resaltar que el mercado podría estar en una fase bajista.
-Beneficios del Indicador:
- Análisis integral: Combina múltiples indicadores técnicos para ofrecer señales más confiables y completas.
- Visualización clara: El indicador cambia el color de fondo y utiliza etiquetas para resaltar las señales de compra y venta, facilitando la interpretación y acción rápida.
- Identificación de volumen anómalo: Ayuda a identificar momentos en los que el volumen está fuera de lo común, lo que podría indicar cambios importantes en el mercado.
- Fácil integración en la estrategia de trading: Puede ser utilizado tanto en mercados en tendencia como en rangos, y se adapta bien a diferentes estilos de trading.
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Recomendaciones de Uso:
- Confirmación de señales: Las señales de compra o venta generadas por este indicador deben ser consideradas junto con otras confirmaciones técnicas o fundamentales para mejorar su efectividad.
- Control de riesgos: Aunque este indicador puede ayudar a identificar puntos clave de entrada y salida, siempre es recomendable utilizar herramientas de gestión de riesgos, como el *stop loss* y el *take profit*, para proteger tu capital.
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Este indicador está diseñado para traders que buscan una herramienta avanzada para combinar volumen, tendencias y volatilidad en sus decisiones de trading. Con su capacidad para proporcionar señales visuales claras, *VolumenTendencia Pro* puede ser un complemento útil en tu análisis técnico.
Sina vwapSina VWAP: Multi-Timeframe Highs and Lows with VWAP Integration
This custom Pine Script indicator, "Sina VWAP," combines the visualization of significant highs and lows from multiple timeframes with a Volume-Weighted Average Price (VWAP) overlay for enhanced market analysis. It is designed for traders seeking precision in identifying support and resistance zones, while also benefiting from the dynamic nature of VWAP.
Features:
Highs & Lows Visualization:
Timeframes Supported: Daily, Weekly, Monthly, Quarterly, 3-Month, 6-Month, and 12-Month.
Custom Line Styles: Configure line styles (solid, dashed, dotted) and widths for each timeframe.
Color & Transparency Settings: Adjust colors and transparency for easy chart readability.
Projections: Extend previous highs and lows into the future for predictive insights.
Gradient Option: Highlight recency of highs and lows using a color gradient for improved visual interpretation.
VWAP Overlay:
Calculate and display Volume-Weighted Average Price to track dynamic market trends.
Optional standard deviation bands for added statistical context around the VWAP.
Dynamic Adjustments:
Automatically updates with new data points across selected timeframes.
Optimized for intraday and longer-term analysis.
Custom Lookback Periods:
Define how many historical highs and lows to retain for each timeframe.
Automatically remove outdated levels to keep the chart clean and uncluttered.
How It Works:
The indicator requests data from multiple timeframes using the request.security function to capture highs and lows. These levels are then plotted on the chart, with options to extend their projections into the future for planning trades.
The VWAP component dynamically adapts to current price action, providing traders with an additional edge in identifying trend directions and reversal zones.
Settings Overview:
Highs & Lows:
Enable/disable levels for each timeframe.
Customize line styles, colors, and transparency for distinct visualization.
VWAP:
Enable/disable VWAP overlay.
Configure standard deviation bands for additional context.
Style:
Adjust gradient intensity for recent highs/lows.
Set projection offset to control the extension of lines into the future.
Use Cases:
Intraday Trading: Utilize daily and weekly levels to pinpoint short-term support/resistance zones.
Swing Trading: Leverage monthly and quarterly levels for mid-term price targets.
Long-Term Analysis: Identify strategic zones using 6-month and 12-month levels.
