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!")
Indikator dan strategi
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.
SMA: 21, 50, 100, 200 DaysThe SMA: 21, 50, 100, 200 Days indicator provides a comprehensive view of short-term, mid-term, and long-term trends by plotting the Simple Moving Averages (SMA) for 21, 50, 100, and 200 days. Each SMA represents the average closing price over the specified number of days, helping traders identify market trends, key support/resistance levels, and potential entry or exit points.
Key Features:
Multiple Time Horizons:
21-Day SMA: Tracks short-term trends and price momentum.
50-Day SMA: Commonly used for mid-term trend analysis and is a popular benchmark among traders.
100-Day SMA: Offers insights into intermediate-term trends.
200-Day SMA: Represents long-term trends and is a key level for institutional traders.
Trend Analysis:
Helps traders identify whether the market is bullish or bearish by observing the position of the price relative to the SMAs.
Dynamic Support/Resistance:
The SMAs often act as support or resistance levels. A price break above or below these lines can signal potential trend shifts.
Crossovers:
Crossovers between shorter and longer SMAs (e.g., 21-day crossing above the 50-day) can indicate bullish or bearish trend reversals.
Application in Trading:
Bullish Signal: Price consistently trading above the SMAs suggests upward momentum.
Bearish Signal: Price consistently trading below the SMAs indicates downward momentum.
Reversal Opportunities: Crossovers and price interactions with the SMAs can act as triggers for potential trade entries or exits.
This indicator is versatile and widely used across all timeframes, making it an essential tool for traders and investors aiming to understand market dynamics and identify key trading opportunities.Simple Moving Average for 21, 50, 100 and 200 Days
Sharp Price ChangesIdentify price points where there has been either a sharp drop or rise in price showing the price value and the % of the drop or rise
