Trend Speed Analyzer (Zeiierman)█ Overview
The Trend Speed Analyzer by Zeiierman is designed to measure the strength and speed of market trends, providing traders with actionable insights into momentum dynamics. By combining a dynamic moving average with wave and speed analysis, it visually highlights shifts in trend direction, market strength, and potential reversals. This tool is ideal for identifying breakout opportunities, gauging trend consistency, and understanding the dominance of bullish or bearish forces over various timeframes.
█ How It Works
The indicator employs a Dynamic Moving Average (DMA) enhanced with an Accelerator Factor, allowing it to adapt dynamically to market conditions. The DMA is responsive to price changes, making it suitable for both long-term trends and short-term momentum analysis.
Key components include:
Trend Speed Analysis: Measures the speed of market movements, highlighting momentum shifts with visual cues.
Wave Analysis: Tracks bullish and bearish wave sizes to determine market strength and bias.
Normalized Speed Values: Ensures consistency across different market conditions by adjusting for volatility.
⚪ Average Wave and Max Wave
These metrics analyze the size of bullish and bearish waves over a specified Lookback Period:
Average Wave: This represents the mean size of bullish and bearish movements, helping traders gauge overall market strength.
Max Wave: Highlights the largest movements within the period, identifying peak momentum during trend surges.
⚪ Current Wave Ratio
This feature compares the current wave's size against historical data:
Average Wave Ratio: Indicates if the current momentum exceeds historical averages. A value above 1 suggests the trend is gaining strength.
Max Wave Ratio: Shows whether the current wave surpasses previous peak movements, signaling potential breakouts or trend accelerations.
⚪ Dominance
Dominance metrics reveal whether bulls or bears have controlled the market during the Lookback Period:
Average Dominance: Compares the net difference between average bullish and bearish wave sizes.
Max Dominance: Highlights which side had the stronger individual waves, indicating key power shifts in market dynamics.
Positive values suggest bullish dominance, while negative values point to bearish control. This helps traders confirm trend direction or anticipate reversals.
█ How to Use
Identify Trends: Leverage the color-coded candlesticks and dynamic trend line to assess the overall market direction with clarity.
Monitor Momentum: Use the Trend Speed histogram to track changes in momentum, identifying periods of acceleration or deceleration.
Analyze Waves: Compare the sizes of bullish and bearish waves to identify the prevailing market bias and detect potential shifts in sentiment. Additionally, fluctuations in Current Wave ratio values should be monitored as early indicators of possible trend reversals.
Evaluate Dominance: Utilize dominance metrics to confirm the strength and direction of the current trend.
█ Settings
Maximum Length: Sets the smoothing of the trend line.
Accelerator Multiplier: Adjusts sensitivity to price changes.
Lookback Period: Defines the range for wave calculations.
Enable Table: Displays statistical metrics for in-depth analysis.
Enable Candles: Activates color-coded candlesticks.
Collection Period: Normalizes trend speed values for better accuracy.
Start Date: Limits calculations to a specific timeframe.
Timer Option: Choose between using all available data or starting from a custom date.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. 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.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Médias Móveis
Bitcoin Cycle High/Low with functional Alert [heswaikcrypt]Introduction
Just as machines are fine-tuned for maximum efficiency, trading indicators must evolve to meet the demands of ever-changing markets.
Credit goes to the initial author, @NoCreditsLeft I only improved the existing Pi-cycle indicator with a functional alert and included a bull mode indicator in the script. The alert can help you get a live alert at candle close when the cycle tops, bottoms, and the potential bull phase switch occurs.
Philip Swift’s Pi Cycle Top Indicator is a brilliant example of leveraging mathematical relationships to signal critical turning points in Bitcoin’s price cycles. Historically, it has identified market and local tops with some relative accuracy, often within three days, as demonstrated in all the previous bull run cycles.
At its core, the Pi Cycle Indicator derives its name from the mathematical constant π (pi), achieved by using simple moving averages (MAs) in a specific ratio: 𝜋 = Long MA/short MA
The Bull mode switch is calculated using a crossover of the short exponentia moving average and the long moving average.
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Knowing when Bitcoin reaches its top—and receiving timely alerts about it—is crucial for successful trading. The indicator is designed to signal;
Potential Bitcoin tops: Purple label
Potential Bitcoin bottoms : green Label, and
Parabolic swing : Yellow diamond shape (relating to the market switching to a potential bull mode)
"Please note: This indicator is tailored for Bitcoin using historical data analysis and should not be considered definitive. However accurate it might be."
Setting alerts
To set the alert conditions, select any alert function call to get alert whenever the conditions are met. The script is configured on dialy TF; you can set it on 1D or weekly TF.
Enjoy and Trade smartly
MACD EM IndicatorThis script is a custom MACD (Moving Average Convergence Divergence) indicator with EMA (Exponential Moving Average) cloud conditions for enhanced trade signals. It identifies long and short entry signals based on user-defined conditions, such as the position of the price relative to an EMA cloud, MACD crossovers, and optional zero-line constraints. The script visually highlights entry signals on the chart using user-configurable colors for better clarity.
multi timeframe moving averages MENTFXSee averages of another timeframe on one timeframe. Very easy to use. Offering 3 options.
Stock RSI BB H/L SMAThis script is a comprehensive trading indicator designed to combine multiple powerful analysis tools into one. It integrates Bollinger Bands, Stock RSI, Moving Averages, and Pivot Points to provide a detailed view of market trends and potential entry or exit points. The Bollinger Bands help visualize price volatility and identify overbought or oversold zones, while the Stock RSI refines this analysis by adding a momentum perspective.
The moving averages allow for customizable trend tracking. Additionally, the Pivot Points highlight potential support and resistance levels dynamically. The script also provides visual signals for bullish and bearish setups based on the interaction between Bollinger Bands and Stock RSI, with options to enable or disable these markers according to user preference.
Everything is grouped logically in the settings, so you can easily tweak parameters for each component, whether it’s the Bollinger Bands’ standard deviation multiplier, Stock RSI smoothing factors, or pivot calculation periods. Alerts are integrated to notify you of significant events, making it a great tool for proactive trading.
VAMA - Volume Adjusted Moving Average [jpkxyz]VAMA is a moving average that adapts to volume, giving more weight to price movements backed by higher relative volume. This VAMA (Volume Adjusted Moving Average) indicator implementation emphasizes visual clarity. It is based on the VAMA script by @allanster
Dual VAMA lines (Fast/Slow) with dynamic coloring:
Single-color scheme switches between green (bullish) and red (bearish)
Color changes on crossovers rather than relative position
Configurable line widths (set to 1 for clean appearance)
Visual enhancements:
Optional fill between VAMA lines (50% transparency)
Crossover dots can be toggled
Fills and dots match the current trend color
Customization parameters:
Independent source inputs for Fast/Slow lines
Adjustable VI Factor (volume influence)
Sample size control
Strict/non-strict calculation toggle
The code maintains efficient computation while prioritizing visual feedback for trend changes. It's designed for clear signal identification without visual clutter.
Notable style choices:
Consistent color theming throughout all visual elements
Simplified color transitions (only at crossovers)
Subtle transparency for fill areas
Minimal dot size for crossover markers
VAMA (Volume Adjusted Moving Average) Technical Analysis:
Core Calculation:
1. Volume Influence (v2i):
v2i = volume / ((total_volume/total_periods) * volume_factor)
- total_volume: Sum of volume over sample period
- total_periods: Either full history (nvb=0) or specified sample size
- volume_factor: Controls sensitivity to volume deviation
2. Price Weighting:
weighted_price = source_price * v2i
3. Accumulation Process:
- Iterates through length*10 periods
- Accumulates weighted prices and volume influence values
- Continues until volume influence sum >= specified length or strict rule triggers
4. Final VAMA Value:
vama = (weighted_sum - (volume_sum - length) * last_price) / length
Parameters:
- SampleN: Historical reference length (0=full history)
- Length: Base period for calculation
- VI Factor: Volume influence multiplier (>0.01)
- Strict: Forces exact length period completion when true
- Source: Input price data
TeeLek-VectorFlowChannelI have been looking for an indicator that will help determine the trend turning point quickly and easily. So I came to the script called Vector Flow Channel. The original version is Version 2, but I have improved it to be able to use it in Multi-Timeframe and has a frame on top.
How to use
The red Top Vector line will run from the top point, gradually decreasing.
The green Bottom Vector line will run from the bottom point, gradually increasing.
We will use these two lines as a frame to break out whether to change the trend or not.
The advantage is that the line will gradually narrow, so when it breaks out, we will not have to wait for it to run a lot first. Setting the Stop Loss or Hedging Profit point will be faster.
The disadvantage is that there will be False Break Out. Sometimes it hits the line, but it does not go down, but continues to run up. It is recommended that when it hits, set the point to buy back.
ตามหามานานแล้ว Indicator ที่จะช่วยในการกำหนดจุดเปลี่ยนเทรนด์ที่เร็ว และเข้าใจง่าย เลยมาจะ Script ที่ชื่อว่า Vector Flow Channel ของเดิมเป็น Version 2 เลยปรับปรุงเพิ่มเติม ให้สามารถใช้ได้แบบ Multi-Timeframe และมีกรอบด้านบนด้วย
วิธีใช้
เส้น Top Vector สีแดง จะวิ่งจากจุดยอด ลดลงมาเรื่อยๆ
เส้น Bottom Vector สีเขียว จะวิ่งจากจุดล่างสุด ขึ้นมาเรื่อยๆ
เราจะใช้สองเส้นนี้เป็นกรอบในการ Break Out ว่าจะเปลี่ยนเทรนด์หรือไม่
ข้อดี คือ เส้นจะค่อยๆ แคบลงทำให้เวลา Break out เราจะไม่ต้องรอให้วิ่งเยอะๆ ก่อน การกำหนดจุด Stop Loss หรือจุด Hedging Profit ก็จะทำได้รวดเร็วขึ้น
ข้อเสีย ก็จะมี False Break Out อยู่ บางทีมันชนกับเส้นแล้ว แต่ก็ไม่ลง วิ่งขึ้นต่อ แนะนำให้พอชนแล้ว จุดที่ชน ก็ให้กำหนดเป็นจุดซื้อกลับเลย
Kombinierter Indikator mit Buy&Sell Signal (ClayPrime)Dieser Indikator beinhaltet die Einfachsten und wichtigsten Indikatoren zusammen wie der EMA,MACD,ATR-Oszillator und, Donchian Channel sind in diesem drin. Für einen optimalen einstig wird ein Buy oder Sell Signal erscheint. Für jeden Timeframe geeignet und auch für jedes Handelspaar.
Azlan MA Silang PLUS++Overview
Azlan MA Silang PLUS++ is an advanced moving average crossover trading indicator designed for traders who want to jump back into the market when they missed their first opportunity to take a trade. It implements a sophisticated dual moving average system with customizable settings and re-entry signals, making it suitable for both trend following and swing trading strategies.
Key Features
• Dual Moving Average System with multiple MA types (EMA, SMA, WMA, LWMA)
• Customizable price sources for each moving average
• Smart re-entry system with configurable maximum re-entries
• Visual signals with background coloring and shape markers
• Comprehensive alert system for both initial and re-entry signals
• Flexible parameter customization through input options
Input Parameters
Moving Average Configuration
• MA1 Type: Choice between SMA, EMA, WMA, LWMA (default: EMA)
• MA2 Type: Choice between SMA, EMA, WMA, LWMA (default: EMA)
• MA1 Length: Minimum value 1 (default: 8)
• MA2 Length: Minimum value 1 (default: 15)
• MA1 & MA2 Shift: Offset values for moving averages
• Price Sources: Configurable for each MA (Open, High, Low, Close, HL/2, HLC/3, HLCC/4)
Re-entry System
• Enable/Disable re-entry signals
• Maximum re-entries allowed (default: 3)
Technical Implementation
Price Source Calculation
The script implements a flexible price source system through the price_source() function:
• Supports standard OHLC values
• Includes compound calculations (HL/2, HLC/3, HLCC/4)
• Defaults to close price if invalid source specified
Moving Average Types
Implements four MA calculations:
1. SMA (Simple Moving Average)
2. EMA (Exponential Moving Average)
3. WMA (Weighted Moving Average)
4. LWMA (Linear Weighted Moving Average)
Signal Generation Logic
Initial Signals
• Buy Signal: MA1 crosses above MA2 with price above both MAs
• Sell Signal: MA1 crosses below MA2 with price below both MAs
Re-entry Signals
Re-entry system activates when:
1. Price crosses under MA1 in buy mode (or over in sell mode)
2. Price returns to cross back over MA1 (or under for sells)
3. Position relative to MA2 confirms trend direction
4. Number of re-entries hasn't exceeded maximum allowed
Visual Components
• MA1: Blue line (width: 2)
• MA2: Red line (width: 2)
• Background Colors:
o Green (60% opacity): Bullish conditions
o Red (60% opacity): Bearish conditions
• Signal Markers:
o Initial Buy/Sell: Up/Down arrows with "BUY"/"SELL" labels
o Re-entry Buy/Sell: Up/Down arrows with "RE-BUY"/"RE-SELL" labels
Alert System
Generates alerts for:
• Initial buy/sell signals
• Re-entry opportunities
• Alerts include ticker and timeframe information
• Configured for once-per-bar-close frequency
Usage Tips
1. Moving Average Selection
o Shorter periods (MA1) capture faster moves
o Longer periods (MA2) identify overall trend
o EMA responds faster to price changes than SMA
2. Re-entry System
o Best used in strong trending markets
o Limit maximum re-entries based on market volatility
o Monitor price action around MA1 for potential re-entry points
3. Risk Management
o Use additional confirmation indicators
o Set appropriate stop-loss levels
o Consider market conditions when using re-entry signals
Code Structure
The script follows a modular design with distinct sections:
1. Input parameter definitions
2. Helper functions for price and MA calculations
3. Main signal generation logic
4. Visual elements and plotting
5. Alert system implementation
This organization makes the code maintainable and easy to modify for custom needs.
HMA Gaussian Volatility AdjustedOverview
The "HMA Gaussian Volatility Adjusted" indicator introduces a unique combination of HMA smoothing with a Gaussian filter and two components to measure volatility (Average True Range (ATR) and Standard Deviation (SD)). This tool provides traders with a stable and accurate measure of price trends by integrating a Gaussian Filter smoothed using HMA with a customized calculation of volatility. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation
The "HMA Gaussian Volatility Adjusted" indicator incorporates HMA smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
HMA & Gaussian Smoothing:
HMA Calculation (HMA_Length): The script applies a Hull Moving Average (HMA) to smooth the price data over a user-defined period, reducing noise and helping focus on broader market trends.
Gaussian Filter Calculation (Length_Gaussian): The smoothed HMA data is further refined by putting it into a Gaussian filter to incorporate a normal distribution.
Volatility Measurement:
ATR Calculation (ATR_Length, ATR_Factor): The indicator incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the Gaussian, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Calculation (SD_Length): The script calculates the standard deviation of the price over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (SDD, SDU) act as additional indicators of price extremes.
Momentum Calculation & Scoring
When the indicator signals SHORT:
Diff = Price - Upper Boundary of the Standard Deviation (calculated on a Gaussian filter).
When the indicator signals LONG:
Diff = Price - Upper Boundary of the ATR (calculated on a Gaussian filter).
The calculated Diff signals how close the indicator is to changing trends. An EMA is applied to the Diff to smooth the data. Positive momentum occurs when the Diff is above the EMA, and negative momentum occurs when the Diff is below the EMA.
Trend Detection
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands, combined with positive/negative momentum, signals potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs
The "HMA Gaussian Volatility Adjusted" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
HMA Length: Allows traders to adjust the sensitivity of the HMA smoothing to control the amount of noise filtered from the price data.
Gaussian Length: Users can define the length at which the Gaussian filter is applied.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands to adjust for price volatility.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing further customization in detecting price volatility.
EMA Confluence: This input lets traders determine the length of the EMA used to calculate price momentum.
Type of Plot Setting: Allows users to determine how the indicator signal is plotted on the chart (Background color, Trend Lines, BOTH (backgroung color and Trend Lines)).
Transparency: Provides users with customization of the background color's transparency.
Color Long/Short: Offers users the option to choose their preferred colors for both long and short signals.
Summary and Usage Tips
The "HMA Gaussian Volatility Adjusted" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of HMA smoothing, Gaussian filtering, and standard deviation analysis provides a nuanced view of market movements by incorporating various metrics to determine direction, momentum, and volatility. This helps traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs.
MACD ClassicMACD Classic (Meta4)
This is a Classic MACD indicator designed to replicate the MetaTrader 4 (MT4) version of MACD, featuring clean visuals and dynamic histogram coloring for enhanced usability. Developed with simplicity and precision in mind, this script provides traders with an effective tool to analyze trends and momentum in the market.
Key Features:
Classic MACD Calculation:
Based on the difference between the fast and slow exponential moving averages (EMAs), with a signal line derived from the smoothed EMA of the histogram.
Dynamic Histogram Colors:
The histogram changes its color dynamically to reflect momentum changes:
Green Shades: Positive momentum (above zero) with increasing or decreasing strength.
Red Shades: Negative momentum (below zero) with increasing or decreasing strength.
Signal Line and MACD Line:
The Signal Line (red) provides smooth trend guidance.
The MACD Line (green or red) adapts to the trend direction, giving visual cues for bullish or bearish conditions.
Zero Line Reference:
A zero line is plotted to help you quickly identify trend reversals.
How to Use:
Analyze Trends:
When the MACD Line is above the zero line, the market is in a bullish trend.
When the MACD Line is below the zero line, the market is in a bearish trend.
Generate Buy/Sell Signals:
Buy: When the MACD Line crosses above the Signal Line.
Sell: When the MACD Line crosses below the Signal Line.
Monitor Momentum:
Use the histogram's color and size to gauge the momentum strength and its shifts.
Inputs:
Fast Length: Number of periods for the fast EMA (default: 12).
Slow Length: Number of periods for the slow EMA (default: 26).
Signal Smoothing: Number of periods for the Signal Line smoothing (default: 9).
Source: Input data for calculations (default: close price).
Advantages:
Seamlessly replicates the MetaTrader 4 MACD indicator for familiarity.
Dynamic coloring enhances visualization of market conditions.
Suitable for all timeframes and asset classes.
About the Developer:
This indicator was created by Mohammad reza Deramami, a dedicated trader and developer aiming to provide simple yet powerful tools for the TradingView community. If you find this indicator helpful, feel free to leave feedback or suggestions!
Nifty 50 Buy/Sell IndicatorThe Nifty 50 Buy/Sell Indicator is a technical analysis tool designed to help traders make informed decisions regarding buying and selling stocks within the Nifty 50 index, which represents the top 50 companies listed on the National Stock Exchange of India. This indicator utilizes various methodologies to assess market conditions, identify trends, and generate actionable signals.
TH Uptrend Consolidation//@version=5
indicator("Custom Buy Signal with Time Filter", overlay=true)
// Inputs for RSI
rsi_length = input.int(14, title="RSI Length")
rsi_source = input.source(close, title="RSI Source")
rsi_lower = input.float(50, title="RSI Lower Bound")
rsi_upper = input.float(65, title="RSI Upper Bound")
// Inputs for EMA
ema_short_length = input.int(20, title="EMA Short Length (EMA20)")
ema_long_length = input.int(50, title="EMA Long Length (EMA50)")
// Inputs for Time Filter
signal_cooldown = input.int(14, title="Cooldown Period (Days)")
// Calculate RSI and EMAs
rsi_value = ta.rsi(rsi_source, rsi_length)
ema20 = ta.ema(close, ema_short_length)
ema50 = ta.ema(close, ema_long_length)
// Calculate Price Distance from EMA20
price_distance_percent = math.abs(close - ema20) / ema20 * 100
// Conditions
rsi_condition = (rsi_value >= rsi_lower and rsi_value <= rsi_upper)
ema_condition = ema20 > ema50
price_condition = close > ema20
distance_condition = price_distance_percent <= 5
// Final Buy Signal Conditions
buy_signal_raw = rsi_condition and ema_condition and price_condition and distance_condition
// Time Filter Logic
var float last_signal_time = na // Persistent variable for last signal time
is_cooldown_over = na(last_signal_time) or (time - last_signal_time > signal_cooldown * 86400000) // 86400000 ms in a day
buy_signal = buy_signal_raw and is_cooldown_over
if buy_signal
last_signal_time := time // Update last signal time when a new signal is generated
// Plot EMAs
plot(ema20, color=color.blue, title="EMA20")
plot(ema50, color=color.orange, title="EMA50")
// Highlight Buy Signals
plotshape(series=buy_signal, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
Complex Indicator with Multiple Metrics and Success Ratesmy script ממוצע נע ועוד קצת .זה סקריפט ניסיוני.הסקריפט מציג אחוזי צלחה לכניסה לעסקה אבל פחות עובד בקריפטו
1H Swing Trading ZLMA LevelsZLMA for 1H Swing. This is a modded version of ZLMA indicator by chartprime.
Average Price Levels) updatedcalculates the average price for weekly, monthly, and 6-month periods and plots horizontal lines for the selected period. The user can toggle the desired period through input options
Use the Select Period dropdown to choose the time period (Weekly, Monthly, 3-Month, or 6-Month).
Select between High, Close, Low, or HCL (High, Close, Low average) via the Average Type input.
Customize the Average Type, Line Color, Line Width, and other settings as needed.
EMA 9/20/50/200You know... the exponential moving average:
9-day EMA
20-day EMA
50-day EMA
200-day EMA
Vwap mastercardVWAP Strategy (Volume Weighted Average Price)
Overview:
VWAP is a benchmark showing the average price weighted by volume, often used by institutions.
How to Use:
Setup: Use VWAP as support or resistance.
Entry:
Buy when the stock bounces off VWAP in an uptrend.
Short when the stock rejects VWAP in a downtrend.
Exit:
Target: Next key level (e.g., previous high/low).
Stop-Loss: Just beyond VWAP.
Example:
A stock in an uptrend pulls back to VWAP and forms a bullish candlestick. Enter and target the day’s high.
Análisis de Rango y Predicción con Bloques de Orden y EMA LogaríEste script combina medias móviles exponenciales logarítmicas (EMA) ajustadas dinámicamente con la detección de bloques de orden en el gráfico diario de Bitcoin (BTC). Calcula niveles clave basados en volumen y precio, identifica zonas de alta actividad institucional por debajo y por encima de las EMAs, y proyecta tendencias futuras mediante regresión lineal y ajustes dinámicos de RSI. Ideal para traders que buscan un análisis técnico preciso y adaptativo para optimizar su estrategia en el mercado.
8EMAEstratégia 8EMA - Identificação Dinâmica de Tendências
A Estratégia 8EMA é uma ferramenta poderosa projetada para traders que buscam clareza e eficiência no mercado. Utilizando oito Médias Móveis Exponenciais (EMAs) com períodos personalizáveis, esta estratégia ajuda a identificar tendências e momentos-chave de entrada e saída.
🔑 Como funciona:
Tendência de Alta: Uma posição de compra (long) é aberta quando a EMA mais rápida (EMA1) cruza para cima da EMA mais lenta (EMA8), indicando potencial de alta.
Encerramento: A posição é fechada automaticamente no cruzamento inverso, protegendo contra reversões inesperadas.
Visualização Avançada: Preenchimentos coloridos entre as EMAs destacam zonas de compressão e transição, facilitando a leitura de tendências no gráfico.
⚙️ Características principais:
EMAs Multi-Períodos: (5, 8, 12, 18, 21, 24, 28, 34) configuráveis para se ajustar ao seu estilo de trading.
Automatização Completa: Entradas e saídas baseadas em cruzamentos de EMAs, sem necessidade de monitoramento manual constante.
Design Visual: Camadas coloridas ajudam a visualizar facilmente a direção e a força da tendência.
🎯 Por que usar a 8EMA?
Simples e eficiente: Perfeito para traders iniciantes e experientes.
Personalizável: Adapte os períodos das EMAs para diferentes mercados ou ativos.
Versátil: Pode ser utilizada em diversos intervalos de tempo, de gráficos intraday a gráficos diários.
Adicione a Estratégia 8EMA aos seus gráficos e aproveite uma abordagem visual e prática para melhorar suas operações!
SMA (5,20,50)This script adds three Simple Moving Averages (SMA) to your chart with periods of 5, 20, and 50. It visually highlights the trends by shading the areas between these lines:
- Green shading: Indicates an upward trend, where the shorter SMA is above the longer SMA.
- Red shading: Indicates a downward trend, where the shorter SMA is below the longer SMA.
The shading uses different opacities to show the strength of the trend. This helps you quickly identify potential buying or selling opportunities.
