JohnScriptЗміни, які
Додано дві нові лінії EMA (72 та 89) :
Лінія EMA 72:ema72 = ta.ema(close, 72)
Лінія EMA 89:ema89 = ta.ema(close, 89)
Візуалізація нових ліній EMA :
Лінія EMA 72 відображається синім кольором:plot(ema72, color=color.new(color.blue, 0), linewidth=2, title='EMA 72')
Лінія EMA 89 відображається фіолетовим кольором:plot(ema89, color=color.new(color.purple, 0), linewidth=2, title='EMA 89')
Цей скрипт тепер має три лінії EMA: одну з періодом 50, іншу з періодом
インジケーターとストラテジー
Buy-Sell-rVolume [BSR] IndicatorBSR is a combination of buy and sell volumes with various length relative volumes of different ranges which is used as a relative volume crossover, indicating incoming volatility of buy or sell direction. BSR offers different options for monitoring buy or sell volumes and relative volume.
Advanced Buy/Sell Signals with Sessions 2025 KravchenkoНаданий вами скрипт — це торгова стратегія, реалізована в Pine Script, яка використовується для створення сигналів купівлі та продажу на основі комбінації різних технічних індикаторів. Ось розбивка компонентів: ### Ключові компоненти: 1. **RSI (індекс відносної сили)**: використовується для визначення умов перекупленості або перепроданості на ринку. - **Умова**: стратегія шукає RSI нижче 30 (перепроданість) для сигналів купівлі та RSI вище 70 (перекупленість) для сигналів продажу. 2.
Close Within Top or Bottom 10%Green/Red background lines with form on every green candle that closes within the top 10% of the candle (wick included) or form on every red candles that closes within the bottom 10% of the candle (wick included). The green and red background colors can be changed
[Taj_treyder] signal buy-sell + ZigZagСалом ба хама Трейдерони Точик! Ман Абдулло Ахмадов хастам.
Ман ин индикатор-ро барои истифодабарии трейдер-хо ва тредуня-хои Точик сохтам,
Аз сабабе ки ин индикатор-ро ман аз 4- авторхои дигари Тредингвью гирифтам якчоя кардам онро дар руйи хати умуми монда наметонам. Шумо метавонед ин индикатор-ро озод дар графикхои худ истифода баред (Таймфрейми аз 45М, 1Н, 2Н, 4Н, то D1).
Хусусият-хои ин индикатор: Ердам кардан дар Торговляи шумо, Осон намудани Тичорати шумо дар бозорхои чахони!
1.- Муян намудани уровен-хои Сапративления ва Подержка,
2.- Муаян намудани Линия Тренда.
3.- Муаян намудани Восходящий ё Нисходящий Тренд (Рынок боло ё поён харакат дорад).
4.- Муаян намудани Точка входа-100% (чойи аники 100% Сделкаро кушодан).
5.- Мондани-100% Стоп-Лосс (чойи аники-100% мондани басс-зарар-дидан, - 2% аз Капитал).
6.- Мондани Тейк-профит (Чойи аники-100% баландтар-ини гирифтани фойда, 1/3, 1/5).
Ман ин индикаторро барои истифода барии Трейдер-хои тамоми Точикони руи замин сохтам! истифода-барии ин ройгон (бе пул, "без платно" мебошад).
Ин Индикатор кори шуморо-95% осон мекунад, Ердами аники хисоби математикии Уровинхо, Ердами аники математикии Линия-Тренда, Ердами-100% аники кушодани сделкахои Лонг ё Шорт (100%- сигналы Buy и Sell с помощью искусственного интеллекта).
Ердами фахмиши боло ё поён равии Рынокхо (100%- определения Восходящего и Нисходящего рынока).
Moving Average Crossover Strategy with Take Profit and Stop LossThe Moving Average Crossover Strategy is a popular trading technique that utilizes two moving averages (MAs) of different periods to identify potential buy and sell signals. By incorporating take profit and stop loss levels, traders can effectively manage their risk while maximizing potential returns. Here’s a detailed explanation of how this strategy works:
Overview of the Moving Average Crossover Strategy
Moving Averages:
A short-term moving average (e.g., 50-day MA) reacts more quickly to price changes, while a long-term moving average (e.g., 200-day MA) smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA (often referred to as a "Golden Cross").
Sell Signal: When the short-term MA crosses below the long-term MA (known as a "Death Cross").
Implementing Take Profit and Stop Loss
1. Setting Take Profit Levels
Definition: A take profit order automatically closes a trade when it reaches a specified profit level.
Strategy:
Determine a realistic profit target based on historical price action, support and resistance levels, or a fixed risk-reward ratio (e.g., 2:1).
For instance, if you enter a buy position at $100, you might set a take profit at $110 if you anticipate that level will act as resistance.
2. Setting Stop Loss Levels
Definition: A stop loss order limits potential losses by closing a trade when the price reaches a specified level.
Strategy:
Place the stop loss just below the most recent swing low for buy orders or above the recent swing high for sell orders.
Alternatively, you can use a percentage-based method (e.g., 2-3% below the entry point) to define your stop loss.
For example, if you enter a buy position at $100 with a stop loss set at $95, your maximum loss would be limited to $5 per share.
Example of Using Moving Average Crossover with Take Profit and Stop Loss
Entry Signal:
You observe that the 50-day MA crosses above the 200-day MA at $100. You enter a buy position.
Setting Take Profit and Stop Loss:
You analyze historical price levels and set your take profit at $110.
You place your stop loss at $95 based on recent swing lows.
Trade Management:
If the price rises to $110, your take profit order is executed, securing your profit.
If the price falls to $95, your stop loss is triggered, limiting your losses.
Option Time ValueThis TradingView script calculates and visualizes the time value of an option (Call or Put) based on its market price and intrinsic value. The time value represents the premium paid for the option above its intrinsic value, and it is a key metric for analyzing the cost of holding an option.
This script is suitable for traders analyzing options on indices or stocks, such as the NIFTY 50, and supports both Call and Put options. By dynamically extracting the strike price and option type from the input symbol, it adapts seamlessly to the selected instrument.
Key Features:
Dynamic Instrument Selection:
Users can input the underlying asset (e.g., NSE:NIFTY) and the specific option instrument (e.g., NSE:NIFTY250327C24000 for a Call or NSE:NIFTY250327P24000 for a Put).
Automatic Option Type Detection:
The script detects whether the option is a Call or a Put by parsing the input symbol for the characters "C" (Call) or "P" (Put).
Dynamic Strike Price Extraction:
The strike price is dynamically extracted from the input option symbol, eliminating the need for hardcoding and reducing user errors.
Key Metrics Plotted:
Time Value: The premium paid above the intrinsic value, plotted in blue.
Intrinsic Value: The calculated intrinsic value of the option, plotted in green.
Seamless Integration:
Designed for ease of use and integration into existing TradingView setups.
Automatically adjusts to the timeframe and pricing data of the selected instruments.
EMA X OverA simple indicator that plots two exponential moving averages (EMAs).
Upon a cross between the two EMAs, the chart will display a customizable marker. This marker may signal a change in direction of the price.
When a cross happened, wait for both EMAs to go in the same direction. The EMAs will both be in the same color when this happened.
When both EMAs are in the same color, look for the established trend.
Furthermore, when the price closes above or below the long EMA, the chart will also display a customizable marker.
Vertical Lines ExampleVertical Lines Example
timestamp: Used to create specific times for today (9:15 AM, 11:00 AM, and 1:00 PM).
isTodayAfterStart: Ensures that lines are drawn only after 9:15 AM.
line.new: Creates vertical lines at the specified times (11:00 AM and 1:00 PM).
style_dotted: Makes the lines dotted.
xloc.bar_time: Places the lines based on time on the chart.
Pi CycleIndicator Overview
The Pi Cycle Top Indicator has historically been effective in picking out the timing of market cycle highs within 3 days.
It uses the 111 day moving average (111DMA) and a newly created multiple of the 350 day moving average, the 350DMA x 2.
Note: The multiple is of the price values of the 350DMA, not the number of days.
For the past three market cycles, when the 111DMA moves up and crosses the 350DMA x 2 we see that it coincides with the price of Bitcoin peaking.
It is also interesting to note that 350 / 111 is 3.153, which is very close to Pi = 3.142. In fact, it is the closest we can get to Pi when dividing 350 by another whole number.
It once again demonstrates the cyclical nature of Bitcoin price action over long time frames. However, in this instance, it does so with a high degree of accuracy over Bitcoin's adoption phase of growth.
GG_EMA 50/200 Crossover with RSI StrategyThe script generates a long signal if the 50 ema crosses the 200 upwards and at the same time the RSI >50.
The script generates a short signal if the 50 ema crosses the 200 downwards and at the same time the RSI <50.
Hold Time With Percentage Drop Catastrophic ExitThis is a trading strategy developed for volatile markets. The system will look for breakouts in any market conditions with solid risk management in place. It incorporates a number of time-tested indicators that help it effectively balance capturing profit potential and controlling downside risk.
Key Features:
Breakout Detection Using Bands and Momentum Indicators:
Bollinger Bands: Finds possible breakout conditions where the price closes above the upper band amid periods of increased volatility.
MACD: This is for confirmation of momentum and trend alignment to increase the chances of successful breakouts. VWAP: This acts as an important level that ensures the price action is in the right intraday sentiment. Volatility and Volume Filters:
This strategy incorporates ATR for measuring market volatility and filtering out the strength of breakouts.
A relative volume filter ensures entry signals are well participated in by the market and filters low liquidity setups. Risk Management:
Minimum Holding Period: This prevents the strategy from prematurely exiting trades on minor pullbacks, allowing trends to form. The holding period is user-adjustable.
ATR-Based Emergency Exit: If the price falls by a certain percentage-a user input, such as 5%-from the entry price, calculated as a function of ATR, the position is immediately exited. This override prevents disastrous losses during turmoil.
Customizability:
Users can modify all the key parameters: Bollinger Band settings, holding periods, MACD configurations, ATR multipliers, and the percentage drop threshold. It also makes the strategy very versatile for different trading styles, instruments, and timeframes.
How It Works:
Entry Signals:
The strategy identifies a buy opportunity when the price breaks above the upper Bollinger Band with increasing ATR and volume, and MACD confirms bullish momentum. VWAP ensures that the price is above the average market sentiment level.
Minimum Holding Period:
Once a position is entered, the strategy enforces a minimum number of bars to hold before evaluating normal sell conditions. This rule prevents the strategy from prematurely exiting and ensures that trades have enough time to develop.
Emergency Exit:
If the price drops sharply-defined as a user-set percentage of the entry price, scaled by ATR-the strategy immediately exits, bypassing the minimum hold rule. This is protection against sudden and extreme losses under volatile conditions.
Exit Signals:
It further has a minimum holding period, after which it exits on its conditions under two indicators: MACD and VWAP, checking for loss of momentum or bearish conditions.
Use Case:
This will be a good approach for traders operating in volatile markets, focusing on breakout opportunities with strong risk management incorporated. It works well on intraday time frames but can be adapted to swing trading or longer-term strategies simply by adjusting the parameters.
Backtesting and Results:
Default settings are meant to return very realistic results in backtesting. Users should always test with the appropriate slippage, commission, and position sizing in relation to their actual trading environment.
Note:
This is an open-source script; for educational use only. Past performance is not indicative of future results. Traders should backtest/forward-test this idea before using it in live markets.
OPRA Option Ticker Parser + Implied VolAttempt at calculating implied vol of an US option using the OPRA feed. The goal is to see fixed strike vol. Need to check the result with other brokers, as I'm not strong in the Black–Scholes model.
Quick Response Indicator with Moving Averages//@version=5
indicator("Quick Response Indicator with Moving Averages", overlay=true)
// RSI Ayarları
rsiLength = input.int(14, title="RSI Length")
rsiOverbought = input.int(70, title="RSI Overbought Level")
rsiOversold = input.int(30, title="RSI Oversold Level")
rsiSource = input.source(close, title="RSI Source")
// Hareketli Ortalamalar (SMA ve EMA) Ayarları
smaLength = input.int(50, title="SMA Length")
emaLength = input.int(9, title="EMA Length")
smaSource = input.source(close, title="SMA Source")
emaSource = input.source(close, title="EMA Source")
// RSI Hesaplaması
rsiValue = ta.rsi(rsiSource, rsiLength)
// SMA ve EMA Hesaplamaları
smaValue = ta.sma(smaSource, smaLength)
emaValue = ta.ema(emaSource, emaLength)
// Al ve Sat sinyalleri
longSignal = rsiValue < rsiOversold and close > emaValue
shortSignal = rsiValue > rsiOverbought and close < emaValue
// Long ve Short sinyalleri için uyarılar
alertcondition(longSignal, title="Long Signal", message="RSI < Oversold and Close > EMA. Long Signal!")
alertcondition(shortSignal, title="Short Signal", message="RSI > Overbought and Close < EMA. Short Signal!")
// Sinyalleri grafikte gösterme
plotshape(series=longSignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Long Signal", text="Long")
plotshape(series=shortSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Short Signal", text="Short")
// SMA ve EMA'yı grafikte gösterme
plot(smaValue, color=color.blue, title="SMA", linewidth=2)
plot(emaValue, color=color.orange, title="EMA", linewidth=2)
// RSI'yı grafikte gösterme
plot(rsiValue, color=color.blue, title="RSI")
hline(rsiOverbought, "Overbought", color=color.red)
hline(rsiOversold, "Oversold", color=color.green)
Key Features:
RSI (Relative Strength Index):
RSI is used to identify overbought or oversold conditions in the market.
When RSI is above 70, it signals overbought conditions, and when RSI is below 30, it indicates oversold conditions.
These levels can help generate trading signals. For example, an oversold condition (RSI < 30) paired with price above EMA may trigger a Long (Buy) signal. Conversely, an overbought condition (RSI > 70) with price below EMA could trigger a Short (Sell) signal.
Moving Averages:
SMA (Simple Moving Average): A 50-period moving average that represents the simple average of the closing prices over a defined period.
EMA (Exponential Moving Average): A 9-period moving average that gives more weight to recent prices, making it more responsive to price changes.
The indicator uses EMA to determine the trend direction, and SMA is used for a longer-term trend indication.
Buy (Long) and Sell (Short) Signals:
Long Signal (Buy): A long signal is generated when RSI is below 30 (oversold) and the current price is above the EMA, indicating a potential upward movement.
Short Signal (Sell): A short signal is generated when RSI is above 70 (overbought) and the current price is below the EMA, indicating a potential downward movement.
Plotting on the Chart:
The SMA, EMA, and RSI are plotted on the chart to give you a visual indication of trend and market conditions.
Long and Short signals are displayed on the chart as green and red arrows, respectively, to help you spot potential entry and exit points quickly.
Alerts:
Alerts are set for Long and Short signals using the alertcondition function. You can use these alerts to notify you when the indicator generates a trade signal.
Advantages of the Indicator:
Quick Response: By combining RSI with EMA and SMA, this indicator allows you to react quickly to market movements and make rapid trading decisions.
Simplified Strategy: The strategy focuses on using moving averages for trend direction and RSI for identifying overbought/oversold conditions, making it ideal for traders who prefer faster results.
Visual Guidance: The clear visual representation of the moving averages, RSI, and trade signals on the chart makes it easy to follow and act on market trends.
MA 20, 50, 200//@version=5
indicator("MA 20, 50, 200", overlay=true)
// Calculate the 20-period, 50-period, and 100-period Simple Moving Averages
ma20 = ta.sma(close, 20)
ma50 = ta.sma(close, 50)
ma200 = ta.sma(close, 200)
// Plot the moving averages on the chart
plot(ma20, color=color.green, linewidth=2, title="MA 20")
plot(ma50, color=color.blue, linewidth=2, title="MA 50")
plot(ma200, color=color.red, linewidth=2, title="MA 200")
This function plots each of the moving averages on the chart.
The color parameter sets the color for each SMA:
MA 20 is plotted in green
MA 50 is plotted in blue
MA 200 is plotted in red
3 Volume Weighted Moving Average -trend-Macd (MTF)3 Volume Weighted Moving Average -trend-Macd (MTF)
ATR Stop-Loss CalculatorATR (Average True Range) kullanarak long ve short işlemleri için stop-loss seviyelerini hesaplar ve grafikte gösterir. Ayrıca Sağ üst köşede stop-loss seviyelerini bir tablo olarak görüntüler. Ayarlanabilir parametreler sayesinde esnek ve kullanıcı dostu bir araçtır.
Özellikler:
ATR'ye dayalı long ve short stop-loss seviyeleri.
Sağ üst köşede stop-loss seviyelerini gösteren tablo.
Kullanıcı tarafından özelleştirilebilir ATR uzunluğu, çarpanı ve hareketli ortalama uzunlukları.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
NAG_SMA IndicatorHi All,
This is SMA indicator with multiple SMA values.
You can select SMA as per your strategy.
Regards,
Nilesh Ghadshi
@nghadshi2389
AmirAli ShiraniBacktest within Specific Date Range . This is a test for understanding it work or not
