Enhanced SMA Strategy with Trend Lines & S&R by DaxThe Enhanced SMA Strategy with Trend Lines & Support/Resistance (S&R) by Dax indicator is a technical analysis tool designed to improve trading decisions by combining the simplicity of the Simple Moving Average (SMA) with the insight provided by trend lines and support/resistance levels. This hybrid approach aims to create a more robust and reliable trading strategy.
Key Components:
Simple Moving Average (SMA):
SMA is a basic trend-following indicator that calculates the average of a set of price data over a specified period. It helps identify the direction of the market, such as whether an asset is in an uptrend or downtrend.
The Enhanced SMA Strategy may use multiple SMAs, such as short-term (e.g., 20-period) and long-term (e.g., 50-period), to detect crossovers that signal buy or sell opportunities. For example, a bullish crossover occurs when a short-term SMA crosses above a long-term SMA, indicating a potential buying signal, while a bearish crossover signals a potential sell.
Trend Lines:
Trend lines are drawn on the price chart to visually identify the direction of the market, acting as dynamic support and resistance levels. A trend line is drawn by connecting two or more price points that demonstrate the overall price movement.
Trend lines can help traders see potential breakout or breakdown points. A price breaking above a downtrend line or below an uptrend line often signals a trend reversal.
Support and Resistance (S&R):
Support levels are price levels where an asset tends to find buying interest and stop falling, while Resistance levels are points where selling pressure emerges and prevent the price from rising further.
These levels are critical in determining where price reversals or consolidations are likely to occur. Enhanced S&R indicators can automatically identify these levels and draw horizontal lines at these critical points on the chart.
Combining S&R with SMA can help traders decide whether a breakout or bounce is likely at these levels, increasing the odds of a successful trade.
How It Works:
Trend Identification: The SMA is used to determine the trend direction. A rising SMA indicates an uptrend, while a falling SMA suggests a downtrend.
Signal Generation: The strategy often uses a combination of SMA crossovers (bullish or bearish) along with the confirmation of price action near trend lines and support/resistance levels. For example:
If a price breaks above resistance and the short-term SMA crosses above the long-term SMA, a buy signal is confirmed.
Conversely, if the price breaks below support and the short-term SMA crosses below the long-term SMA, a sell signal is given.
Dynamic Support/Resistance: Trend lines are drawn automatically or manually to spot areas where price might reverse. The Enhanced SMA Strategy checks if the price is close to these levels, providing a more precise entry/exit point based on the broader market context.
Advantages of the Enhanced SMA Strategy with Trend Lines & S&R:
Improved Accuracy: By combining trend-following (SMA) with key levels like trend lines and S&R, the strategy filters out false signals, leading to more reliable trade setups.
Trend Confirmation: The use of trend lines and S&R confirms the broader market context, reducing the risk of trading against the trend or entering at weak price points.
Flexible: This strategy can be applied to various timeframes, from short-term day trading to longer-term swing trading.
Visual Clarity: The combination of trend lines, S&R, and moving averages provides a clear and visually intuitive strategy for identifying key price levels and trend shifts.
How to Use It:
Draw Trend Lines: Identify the most recent price peaks and troughs to draw trend lines, marking the potential resistance and support levels.
Use SMAs: Apply two different-period SMAs to detect the trend (e.g., 20-period and 50-period). Pay attention to crossovers for buy/sell signals.
Watch for Breakouts or Reversals: Monitor how the price behaves at support or resistance levels and the trend lines. A price move beyond these levels, accompanied by a confirming SMA crossover, can signal a strong trade opportunity.
Conclusion:
The Enhanced SMA Strategy with Trend Lines & S&R by Dax is a powerful, multi-layered approach to technical analysis. It enhances the basic SMA strategy by incorporating additional tools like trend lines and support/resistance levels, which help traders make more informed decisions with higher accuracy. This method is suitable for both novice and experienced traders, offering clear trade signals while reducing the risk of false entries.
指標和策略
0️⃣ Bollinger Bands with GMMABollinger Bands Implementation
Inputs:
Users can adjust the Bollinger Bands' parameters, including the length of the moving average, type of moving average (SMA, EMA, SMMA, WMA, VWMA), source data (e.g., close price), and standard deviation multiplier.
An offset is also available for shifting the Bollinger Bands horizontally.
Calculation:
The basis line is calculated using the selected moving average type and length.
The upper and lower bands are computed by adding and subtracting the standard deviation (multiplied by the user-defined multiplier) from the basis line.
Plot:
The basis, upper, and lower Bollinger Bands are plotted on the chart with customizable colors and offsets.
GMMA (Guppy Multiple Moving Averages) Implementation
Exponential Moving Averages (EMAs):
A series of EMAs with different lengths (3, 5, 8, 10, 12, 15, 30, 33, 40, 45, 50, 60, and 90) are computed using the close price.
Visualization:
Short-term EMAs (3–15) are plotted in cyan.
Medium-term EMAs (30–45) are plotted in red.
Long-term EMAs (50–90) are plotted in varying shades of blue, indicating different levels of transparency for better distinction.
Application and Use
This indicator is designed for traders who want to:
Identify trends:
Use the GMMA to gauge short-term, medium-term, and long-term price movements.
Converging or diverging EMAs can indicate trend strength or potential reversals.
Spot volatility:
Bollinger Bands help detect periods of high or low volatility.
When prices touch or cross the upper or lower band, they may signal overbought or oversold conditions.
Combine both tools for confirmation:
Bollinger Bands can validate trend directions identified by the GMMA.
For example, if short-term EMAs in the GMMA start crossing above long-term EMAs and the price stays above the Bollinger Bands' basis, it could signal a bullish trend.
RSI Comparison Signals with DifferenceRSI Comparison Signals with Difference
RSI Comparison Signals with Difference
Trend Detection with AlertsPurpose of the Script
The script identifies trends on a chart (uptrend, downtrend, or sideways trend) and provides both visual cues and alerts when a trend changes. It uses two methods for trend detection:
Moving Averages (MA): It compares a short-term moving average (fast) with a long-term moving average (slow).
An uptrend occurs when the short-term MA is above the long-term MA.
A downtrend occurs when the short-term MA is below the long-term MA.
Price Action:
Higher highs (HH) indicate bullish momentum.
Lower lows (LL) indicate bearish momentum.
When these methods align, the script determines the trend and notifies the user of any trend changes.
Key Features
Moving Average Calculation:
A short-term moving average and a long-term moving average are calculated to determine the overall trend direction.
Trend Determination:
An uptrend is detected when the short-term MA is above the long-term MA and higher highs are present.
A downtrend is detected when the short-term MA is below the long-term MA and lower lows are present.
Otherwise, the trend is classified as sideways.
Alerts for Trend Changes:
Alerts are triggered when the trend changes from one state to another (e.g., sideways to uptrend).
Custom messages indicate the type of trend detected.
Background Colors:
The script changes the chart’s background color based on the current trend:
Green for uptrends.
Red for downtrends.
Gray for sideways trends.
Visualization of Moving Averages:
The moving averages are plotted on the chart for visual reference.
How It Works
Inputs for Flexibility:
The user can configure the lengths of the short-term and long-term moving averages.
A lookback period is used to determine higher highs or lower lows for additional confirmation.
Trend Logic:
The script checks the relationship between the moving averages to identify general trends.
It also evaluates price action to confirm trend strength (e.g., whether a higher high or lower low occurred).
Alert System:
When the detected trend changes (e.g., from sideways to uptrend), an alert is triggered. This ensures the user is notified of important market movements.
Dynamic Background Coloring:
The background color of the chart changes to reflect the current trend, making it easy to interpret the trend visually.
Use Cases
Trend Identification: Helps traders quickly identify market trends for decision-making.
Alerts for Trend Changes: Notifies traders when a new trend begins, ensuring they don’t miss key opportunities.
Visual Assistance: Makes it easier to interpret trends through color-coded backgrounds and moving average overlays.
Customization Options
Adjust Moving Average Lengths: Users can modify the short-term and long-term moving averages to suit their trading strategies.
Change Lookback Period: The sensitivity of higher highs and lower lows can be adjusted.
Personalized Alerts: Alerts can be customized for different trading scenarios.
Summary
This script provides an intuitive way to detect and visualize market trends while offering real-time alerts for trend changes. It’s an excellent tool for traders who want to stay informed about market conditions and make data-driven decisions.
Helper Indicator for Crypto Scalping Pro//@version=5
indicator("Helper Indicator for Crypto Scalping Pro", overlay=true)
// === НАСТРОЙКИ ===
showTrendLines = input.bool(true, "Показывать линии тренда")
showSupportResistance = input.bool(true, "Показывать уровни поддержки и сопротивления")
showAdditionalSignals = input.bool(true, "Показывать дополнительные сигналы")
// === БАЗОВЫЕ ИНДИКАТОРЫ ===
fastEMA = ta.ema(close, 8)
mediumEMA = ta.ema(close, 13)
slowEMA = ta.ema(close, 21)
// Определение тренда
isBullishTrend = fastEMA > mediumEMA and mediumEMA > slowEMA
isBearishTrend = fastEMA < mediumEMA and mediumEMA < slowEMA
// Поддержка и сопротивление
highestHigh = ta.highest(high, 20)
lowestLow = ta.lowest(low, 20)
// Линии тренда
plot(fastEMA, "Fast EMA (8)", color=color.blue, linewidth=1)
plot(mediumEMA, "Medium EMA (13)", color=color.orange, linewidth=1)
plot(slowEMA, "Slow EMA (21)", color=color.red, linewidth=1)
// Уровни поддержки и сопротивления
plot(showSupportResistance ? highestHigh : na, "Resistance", color=color.red, style=plot.style_line, linewidth=2)
plot(showSupportResistance ? lowestLow : na, "Support", color=color.green, style=plot.style_line, linewidth=2)
// Сигналы
buySignal = isBullishTrend and close > mediumEMA
sellSignal = isBearishTrend and close < mediumEMA
// Визуализация сигналов
plotshape(showAdditionalSignals and buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(showAdditionalSignals and sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
// === АЛЕРТЫ ===
alertcondition(buySignal, title="Buy Signal", message="Тренд восходящий! Вход в покупку!")
alertcondition(sellSignal, title="Sell Signal", message="Тренд нисходящий! Вход в продажу!")
ADR Table BY @ICT_YEROADR Table BY @ICT_YERO
Created by: @ICT_YERO
This custom indicator is designed to provide the Average Daily Range (ADR) for multiple timeframes, including Daily, 4-Hour, and 1-Hour. The indicator is tailored to assist traders in understanding price volatility and making informed trading decisions.
Key Features
Multi-Timeframe ADR Calculation:
Automatically calculates and displays the ADR for Daily, 4-Hour, and 1-Hour timeframes.
Helps traders identify potential price movement ranges for different trading sessions.
Dynamic Range Visualization:
Clear visual representation of the ADR on the chart, making it easy to spot price extremes.
Real-time updates to reflect changes in price movement.
Custom Alerts:
Option to set alerts when the price approaches the ADR high or low.
Useful for identifying potential reversal zones or breakout opportunities.
User-Friendly Interface:
Simple and intuitive settings to customize colors, levels, and display preferences.
Seamlessly integrates with your existing TradingView setup.
ICT-Inspired Methodology:
Designed for traders who follow ICT concepts, focusing on precision and high-probability setups.
Applications
Range Trading: Helps determine the high and low boundaries for scalping or intraday setups.
Volatility Analysis: Understand market behavior during different times of the day or week.
Reversal Zones: Identify areas where price is likely to reverse, based on ADR extremes.
Whether you're a scalper, day trader, or swing trader, this indicator provides a comprehensive overview of price volatility across multiple timeframes, making it an essential tool for your trading arsenal.
TonyM RSISummary:
The strategy identifies trade entries based on RSI, opens initial positions, and scales into trades if the market moves against them. Profits are taken based on an average entry price with a defined target. It operates only during a specific trading time window, combining RSI signals with a scaling mechanism to potentially improve profitability.
TonyM RSISummary:
The strategy identifies trade entries based on RSI, opens initial positions, and scales into trades if the market moves against them. Profits are taken based on an average entry price with a defined target. It operates only during a specific trading time window, combining RSI signals with a scaling mechanism to potentially improve profitability.
TonyM RSISummary:
The strategy identifies trade entries based on RSI, opens initial positions, and scales into trades if the market moves against them. Profits are taken based on an average entry price with a defined target. It operates only during a specific trading time window, combining RSI signals with a scaling mechanism to potentially improve profitability.
Price Down from Monthly High (%)//@version=5
indicator("Price Down from Monthly High (%)", overlay=true)
// Get the highest price of the current month
monthlyHigh = request.security(syminfo.tickerid, "M", high)
// Calculate the percentage price down from the monthly high
percentageDown = ((monthlyHigh - close) / monthlyHigh) * 100
// Plot the percentage down from the monthly high
plot(percentageDown, color=color.red, title="Percentage Down from Monthly High", linewidth=2)
Williams Percent Range123123123112312312312312非常牛12312312312312非常牛12312312312312非常牛12312312312312非常牛12312312312312非常牛12312312312312非常牛12312312312312非常牛2312非常牛
SAI SUBHASH BITRA (OD) OPEN DRIVEThis indicator identifies a specific opening price pattern based on a 5-minute chart. It analyzes the first candle of the new trading day relative to the previous day’s price levels and provides visual alerts for significant price movements.
Future Price Prediction with Buy/Sell Signals1.Technical Analysis: Analyzing historical price data and market trends using charts and indicators.
2.Fundamental Analysis: Evaluating the intrinsic value of an asset based on company financials, market conditions, and economic factors.
3.Machine Learning Models: Using algorithms like regression, neural networks, or time series forecasting to predict price movements.
4.Sentiment Analysis: Gauging market sentiment through social media, news, and other textual data to predict how future events might affect prices.
Arshia_setup(indecision_candle)hello
hail to Arshia_azizpur!
it is not a strategy!
this is an entering setup with amazing reward!
but you will lose a lot if not understanding it!
so Follow Trade city pro in youtube and tradingview!
or search for arshia candle in google.
EMA Crossover StrategyThis script calculates the 9, 21, and 50-period EMAs, plots them on the chart, and generates buy signals when the 9 EMA crosses above the 21 EMA while being above the 50 EMA, and sell signals when the 9 EMA crosses below the 21 EMA while being below the 50 EMA. You can customize the colors and styles as needed. ```pinescript //@version=5 indicator("EMA Crossover Strategy", overlay=true)
// Define the EMAs ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) ema50 = ta.ema(close, 50)
// Plot the EMAs plot(ema9, color=color.blue, title="EMA 9") plot(ema21, color=color.red, title="EMA 21") plot(ema50, color=color.green, title="EMA 50")
// Define buy and sell conditions buySignal = ta.crossover(ema9, ema21) and ema9 > ema50 sellSignal = ta.crossunder(ema9, ema21) and ema9 < ema50
// Plot buy and sell signals plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, text="Buy") plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// Optional: Add alerts for buy and sell signals alertcondition(buySignal, title="Buy Alert", message="Buy Signal: EMA 9 crossed above EMA 21") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal: EMA 9 crossed below EMA 21") pinescript //@version=5 indicator("EMA Crossover Strategy", overlay=true)
// Define the EMAs ema9 = ta.ema(close, 9) ema21 = ta.ema(close, 21) ema50 = ta.ema(close, 50)
// Plot the EMAs plot(ema9, color=color.blue, title="EMA 9") plot(ema21, color=color.red, title="EMA 21") plot(ema50, color=color.green, title="EMA 50")
// Define buy and sell conditions buySignal = ta.crossover(ema9, ema21) and ema9 > ema50 sellSignal = ta.crossunder(ema9, ema21) and ema9 < ema50
// Plot buy and sell signals plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, text="Buy") plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// Optional: Add alerts for buy and sell signals alertcondition(buySignal, title="Buy Alert", message="Buy Signal: EMA 9 crossed above EMA 21") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal: EMA 9 crossed below EMA 21")
// Additional feature: Highlight the background during buy/sell signals bgcolor(buySignal ? color.new(color.green, 90) : na, title="Buy Background") bgcolor(sellSignal ? color.new(color.red, 90) : na, title="Sell Background")
21-Week EMA Across Timeframes21 Week EMA that auto adjusts across all timeframes to = 21 weeks. So even if you're on the daily chart, the indicator will still represent 21 weeks as opposed to 21 days.
21-Week EMA Across Timeframes21 Week EMA that auto adjusts across all timeframes to = 21 weeks. So even if you're on the daily chart, the indicator will still represent 21 weeks as opposed to 21 days.
5Bar SignalA 5 bar counting on the moving average indicator. It will show a sell signal if there are 5 bars closing below the moving average and a buy signal if there are 5 bars closing above the moving average
Stochastic MultiBandStochastic MultiBand is a standard Stochastic oscillator enhanced with a second set of upper and lower bands. This feature allows for more precise identification of overbought and oversold conditions. Easily customizable, it integrates seamlessly into your TradingView charts, providing clearer signals to support your trading decisions.
Swing Trading StrategyThis Swing Trading Strategy combines technical indicators and Fibonacci retracement levels to identify potential buy and sell opportunities in the market. It uses key tools like RSI, MACD, moving averages, and Fibonacci levels for precision and trend confirmation.
Key Indicators:
1. RSI (14): Identifies overbought (>70) and oversold (<30) conditions.
2. MACD: Detects momentum shifts with bullish or bearish crossovers.
3. Moving Averages: A short-term MA (50) and long-term MA (200) determine uptrends and downtrends.
4. Fibonacci Levels (0.382, 0.5, 0.618): Calculate dynamic support and resistance zones based on recent highs and lows.
Entry and Exit Conditions:
• Long Entry: In an uptrend, RSI < 30, MACD bullish crossover, and price within Fibonacci levels.
• Short Entry: In a downtrend, RSI > 70, MACD bearish crossover, and price within Fibonacci levels.
• Exits: Positions close if the trend reverses (via MACD) or RSI reaches extreme levels.
Visualization:
The strategy dynamically plots Fibonacci levels and moving averages for enhanced decision-making.
This strategy is ideal for swing traders, leveraging trend and momentum to identify profitable short- to medium-term opportunities.
Volume Trend Analysis ProKey Features of Volume Analysis Script
1. Volume Threshold Detection
Identifies significant volume spikes
Compares current volume against 20-period moving average
Configurable sensitivity for precise signal generation
2. Trend Confirmation Mechanisms
Uses short and long-term moving averages
Validates volume signals with price action
Reduces false positive trading signals
3. Advanced Visualization
Color-coded volume bars
Triangular buy/sell signal markers
Clear visual representation of volume dynamics
4. Risk Management Components
Customizable volume threshold
Deviation sensitivity adjustment
Built-in alert conditions for real-time monitoring
200-Week Weighted Moving Average (WMA)The 200-Week Weighted Moving Average (WMA) is a long-term technical indicator designed to smooth price data over the past 200 weeks while giving greater weight to recent price movements. Unlike the Simple Moving Average (SMA), which applies equal weight to all data points, the WMA emphasizes more recent prices, making it more responsive to current market trends.
Key Features:
Focus on Long-Term Trends:
Helps traders and investors identify the overall market direction over a long-term horizon (approximately four years).
Weighted Responsiveness:
Provides a more dynamic reflection of recent price activity compared to the 200-week SMA.
Support/Resistance Levels:
Often used to identify key levels of support or resistance in the market.
Breaks above or below the WMA may signal potential trend reversals.
Multi-Timeframe Usability:
Useful across different timeframes but specifically designed to work on weekly data for long-term analysis.
Application in Trading:
Bullish Indicator: When the price is above the 200-week WMA, it indicates a long-term uptrend.
Bearish Indicator: When the price is below the 200-week WMA, it suggests a long-term downtrend.
Reversal Signals: Crossovers or significant deviations from the WMA can act as triggers for potential trend changes.
This indicator is ideal for traders and investors focusing on macro trends, helping them make informed decisions about long-term market positions.
3% Interval LinesHow It Works:
Base Price Input: The script provides a text box to enter a base price.
3% Interval Calculation: It calculates 3% of the base price.
Lines Drawing: It draws lines above and below the base price at every 3% interval using a loop.
Customization:
You can change num_lines to increase or decrease the number of lines.
The colors and line styles can also be adjusted.
