Aj's DikFat Adjusted ADXRAj's DikFat Adjusted ADXR
This indicator is designed to plot the Average Directional Index (ADX) and Average Directional Movement Rating (ADXR) on the chart. The ADX and ADXR are both used to measure the strength of a trend in the market. The script allows you to customize several parameters, including the ADX Length and the Moving Average Method used for smoothing the directional movement indicators.
Key Features:
- ADX Length : Defines the number of periods over which the ADX is calculated. This value can be adjusted by the user to suit different trading styles and timeframes.
- Moving Average Method : Choose between several smoothing methods, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Wilder's Moving Average, Weighted Moving Average (WMA), Hull Moving Average (HMA), or a Super Smooth Moving Average.
- Directional Indicators : The script calculates the +DI and -DI, which represent the positive and negative directional indicators respectively. These are then used to calculate the ADX.
- ADXR : The ADXR is calculated as the average of the current ADX value and the ADX value from 14 periods ago, providing a more smoothed representation of the trend strength.
How Traders Use ADX and ADXR:
- ADX : A rising ADX indicates an increasing trend strength, while a falling ADX suggests a weakening trend. A value above 25 is often considered an indication of a strong trend.
- ADXR : This indicator smooths the ADX over time, helping traders identify persistent trends. The ADXR can help filter out noise and provide a clearer picture of the trend's health.
Please note that this script and its indicators are designed to be used as tools for analysis, not as guarantees of market outcomes. Adjustments to the moving average method or ADX length can change the behavior of the indicators based on market conditions.
Göstergeler ve stratejiler
RSI - MUA BAN - Captain Hope communities----------------------RSI - MUA BAN - Captain Hope communities--------------------------
RSI Calculation Computes RSI based on user-defined source and length.
Moving Average (MA) Calculation Computes an RSI-based simple moving average (SMA) and a 50-period SMA of the closing price.
Buy & Sell Levels Customizable RSI levels for buy and sell signals with adjustable thresholds.
Signal Conditions - Buy signal: RSI crosses above the adjusted buy level and was previously below it.
- Sell signal: RSI crosses below the adjusted sell level and was previously above it.
Check Conditions - "?.UP" signal when RSI crosses above RSI-based MA, price is below MA50, and rising.
- "?.DOWN" signal when RSI crosses below RSI-based MA, price is above MA50, and falling.
Visual Representation - Plots MA 50 line on the chart.
- Displays "Buy" and "Sell" labels based on conditions.
- Shows "?.UP" and "?.DOWN" markers based on additional conditions.
Customizable Appearance Users can configure text and background colors for buy/sell signals.
Alert Conditions Triggers alerts for buy and sell signals based on RSI conditions.
Onky's DikFat Supreme Supply and Demand
Onky's DikFat Supreme Supply and Demand (DFAT S&D)
This indicator identifies and marks potential Demand and Supply zones based on sharp price movements and volume spikes. It is designed to assist traders in recognizing areas where price could potentially reverse or move impulsively, based on the concept of supply and demand.
Key Features:
- Dynamic Demand and Supply Zones : The indicator uses historical price data and sharp price movements to detect areas where demand or supply may be concentrated. The zones are drawn as boxes on the chart for visual reference.
- Volume Spike Detection : The zones are only marked when a volume spike occurs, indicating increased market activity and potentially stronger support or resistance at those levels.
- Adjustable Parameters : Traders can adjust the Zone Size to control the lookback period for detecting supply and demand zones, and can fine-tune the Volume Multiplier to control the sensitivity of volume spikes.
- Alerts : Alerts are available for both Demand and Supply zones when they are detected, allowing traders to be notified when price enters or reacts to these areas.
How Traders Use Supply and Demand Zones:
Supply and Demand Theory suggests that prices often move in response to the balance between the amount of supply (selling pressure) and demand (buying pressure) at specific price levels. When demand exceeds supply, prices tend to rise, and when supply exceeds demand, prices tend to fall.
1. Demand Zones : These are areas where price has previously fallen to a low point and buyers have stepped in, pushing prices higher. Traders may view these zones as potential areas for price to reverse upward again.
2. Supply Zones : These are areas where price has risen to a high point and sellers have stepped in, pushing prices lower. Traders may see these zones as potential areas for price to reverse downward again.
Traders use these zones to identify potential entry points (for buying in demand zones or selling in supply zones) and exit points (if price reaches these zones in the future). The volume spike further validates the strength of these zones, as it indicates heightened market interest at those levels.
This indicator offers a flexible, visual way to identify and act upon these market dynamics. It is neutral and does not guarantee any specific outcomes, but it may assist traders in recognizing important price levels where price action could change.
Disclaimer:
This indicator is provided for informational purposes only. It is not intended to be trading advice or a recommendation to buy or sell any financial instruments. Trading involves risk, and the use of this tool does not guarantee any specific results or profits. Past performance is not indicative of future results. Users are responsible for their own decisions and should seek independent financial advice before making any investment decisions.
SCAE MJ VolSpikeSignal appendix :
1) B = Buy
2) S = Sell
3) STS = Stanby To Sell
4) STB = Stanby To Buy
5) BPB = Buy on PullBack
Only Buy when Signal B (and BPB) appeared above EMA9 and near/above EMA200 with a spike buy volume (Green Volume).
Only Sell when Signal S (or STS) appeared with a spike sell volume or candlestick closed below EMA9 (somehow Signal S don't appeared when price crossed below EMA9).
ETH Trend Strategy with Multi-Timeframe and ATR ProtectionOverview
The Optimized ETH Trend Strategy is designed to leverage adaptive trend-following techniques using multiple indicators. This strategy combines exponential moving averages (EMA), the Average Directional Index (ADX), and Average True Range (ATR) to identify and execute trades with trend confirmation. The strategy also applies multi-timeframe validation and volume analysis to filter trades, improving the likelihood of success.
This strategy is optimized for Ethereum/USDT but can be tested on other assets. Its most effective results have been observed on the 4-hour timeframe with appropriate adjustments to stop-loss and risk management settings.
Core Features
EMA Trend Detection:
The strategy uses a fast EMA (21-period) and a slow EMA (50-period). A crossover event signals the beginning of a potential trend.
To prevent false signals, a higher timeframe (1-hour) EMA is also checked for trend alignment.
ADX Trend Strength Confirmation:
The ADX indicator measures the strength of a trend. Only trades where ADX exceeds the threshold (default: 25) are considered.
Candlestick and Volume Filters:
Candlestick patterns (e.g., bullish or bearish engulfing) serve as an optional confirmation tool to strengthen trade entries.
Volume is compared to a smoothed moving average to ensure the trade has sufficient market activity.
Dynamic Stop-Loss via ATR:
The ATR (Average True Range) is used to calculate dynamic stop-loss levels, allowing flexibility based on market volatility.
A trailing stop-loss system protects profits during extended trends while minimizing drawdowns.
Strategy Parameters
Parameter Default Value Description
Fast EMA Length 21 The period for the fast EMA, used to detect short-term trends.
Slow EMA Length 50 The period for the slow EMA, providing longer-term trend guidance.
ADX Threshold 25 Minimum ADX value required to confirm a strong trend.
ATR Multiplier 3.0 Multiplier applied to ATR for dynamic stop-loss calculation.
Volume Smoothing Period 20 Period for calculating average volume to filter low-volume conditions.
Use Candlestick Confirmation True Enables or disables additional candlestick pattern confirmation.
Entry and Exit Logic
Long Entry:
A long position is triggered when:
The fast EMA crosses above the slow EMA.
The current price is above the fast EMA.
ADX confirms trend strength.
Multi-timeframe EMA alignment indicates higher timeframe confirmation.
Volume exceeds the smoothed average.
(Optional) A bullish candlestick pattern is detected.
Short Entry:
A short position is triggered under similar conditions but in the opposite direction.
Exit Strategy:
The strategy uses a trailing stop-loss system based on the ATR. This allows the strategy to lock in profits while reducing exposure during market reversals.
Performance Notes
This strategy is designed with risk management in mind, limiting trades to 5% of account equity per trade by default.
Results will vary depending on market conditions and the selected timeframe. During periods of consolidation, false signals may occur more frequently, which is mitigated through volume and trend strength confirmation.
Important Considerations
Backtesting Setup:
The default properties are configured to simulate realistic trading conditions, including a commission of 0.075% per trade.
Users should verify their results with appropriate slippage and commission values for their specific exchange.
No Guarantee of Future Performance:
While this strategy has performed well under historical conditions, past performance does not guarantee future results. Always test strategies thoroughly before live trading.
Customization:
Traders can adjust parameters (e.g., EMA lengths, ATR multiplier, and ADX threshold) to better suit different assets or timeframes. It is recommended to test any changes in a simulated environment.
How to Use
Apply the strategy to your chart on TradingView.
Adjust the parameters according to your asset and timeframe.
Enable alerts to receive notifications for potential trade entries.
Monitor the performance in the strategy tester to assess the effectiveness of your setup.
Disclaimer
This strategy is intended for educational and informational purposes only. It is not financial advice. Users are responsible for their own trading decisions and risk management.
Gap Symbolized on ChartIndicator Description: Gap Analysis with Text Symbols
This indicator analyzes the relationship between the current candle's open price, the previous candle's close price, and the current candle's close price to provide visual insights into price gaps and momentum. It displays text symbols (▼, ▲, ━) above each candle, color-coded to reflect the strength and direction of the gap.
Key Features:
Gap Analysis:
Compares the current candle's open price with the previous candle's close price.
Evaluates the current candle's close price relative to its open price.
Text Symbols:
▼ (Down Arrow): Indicates a bearish movement.
▲ (Up Arrow): Indicates a bullish movement.
━ (Dash): Indicates a neutral or sideways movement.
Color Coding:
Red: Bearish conditions (e.g., price opening lower than the previous close and closing lower than the open).
Orange: Mild bearish or bullish conditions.
Blue: Bullish conditions (e.g., price opening higher than the previous close and closing higher than the open).
Navy: Strong bullish conditions.
Transparent Background:
The text symbols are displayed without any background shape, ensuring they do not obstruct the chart.
Use Cases:
Identify Gaps: Quickly spot gaps between the previous close and the current open.
Momentum Analysis: Assess the strength and direction of price movements.
Visual Clarity: The minimalist design (text symbols only) keeps the chart clean and easy to interpret.
How to Use:
Add the indicator to your chart.
Observe the text symbols above each candle:
Red ▼: Strong bearish momentum.
Blue ▲: Strong bullish momentum.
━: Neutral or consolidation phase.
Use the insights to confirm trends, spot reversals, or identify potential entry/exit points.
Scalping Master Indicator (kamran)//@version=5
indicator("Scalping Master Indicator", overlay=true)
// Input parameters
ema_short_length = input.int(9, title="Short EMA Length", minval=1)
ema_long_length = input.int(21, title="Long EMA Length", minval=1)
rsi_length = input.int(14, title="RSI Length", minval=1)
rsi_overbought = input.int(70, title="RSI Overbought Level", minval=50)
rsi_oversold = input.int(30, title="RSI Oversold Level", minval=0)
vwma_length = input.int(20, title="VWMA Length", minval=1)
macd_fast_length = input.int(12, title="MACD Fast Length", minval=1)
macd_slow_length = input.int(26, title="MACD Slow Length", minval=1)
macd_signal_length = input.int(9, title="MACD Signal Length", minval=1)
// 1. Exponential Moving Averages (EMA)
ema_short = ta.ema(close, ema_short_length)
ema_long = ta.ema(close, ema_long_length)
// Plot EMAs
plot(ema_short, color=color.blue, title="EMA Short", linewidth=2)
plot(ema_long, color=color.orange, title="EMA Long", linewidth=2)
// 2. Relative Strength Index (RSI)
rsi = ta.rsi(close, rsi_length)
// Plot RSI
hline(rsi_overbought, "Overbought", color=color.red, linestyle=hline.style_dashed)
hline(rsi_oversold, "Oversold", color=color.green, linestyle=hline.style_dashed)
plot(rsi, color=color.purple, title="RSI", linewidth=2)
// 3. Volume Weighted Moving Average (VWMA)
vwma = ta.vwma(close, vwma_length)
// Plot VWMA
plot(vwma, color=color.teal, title="VWMA", linewidth=2)
// 4. MACD (Moving Average Convergence Divergence)
= ta.macd(close, macd_fast_length, macd_slow_length, macd_signal_length)
// Plot MACD
plot(macd_line, color=color.blue, title="MACD Line", linewidth=2)
plot(signal_line, color=color.red, title="MACD Signal Line", linewidth=2)
plot(hist, color=hist >= 0 ? color.green : color.red, title="MACD Histogram", style=plot.style_columns)
// 5. Scalping Signals
long_condition = ema_short > ema_long and rsi > rsi_oversold and rsi < rsi_overbought and close > vwma and macd_line > signal_line
short_condition = ema_short < ema_long and rsi < rsi_overbought and rsi > rsi_oversold and close < vwma and macd_line < signal_line
// Plot Buy/Sell Signals
plotshape(series=long_condition, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=short_condition, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Alerts for Buy/Sell Signals
alertcondition(long_condition, title="Buy Signal Alert", message="BUY Signal Detected")
alertcondition(short_condition, title="Sell Signal Alert", message="SELL Signal Detected")
BTC/USD Enhanced High-Growth Impulse Strategy for 30-Min ChartOverview:
This script combines trend-following and momentum-based entry/exit signals, optimized for BTC/USD on a 30-minute timeframe. It integrates Exponential Moving Averages (EMAs), Supertrend, and Average True Range (ATR) to identify potential trade opportunities with volatility-adjusted risk management.
Indicators Explained:
Exponential Moving Averages (EMAs):
21 EMA (Short-term): Identifies fast-moving price trends.
50 EMA (Medium-term): Captures broader momentum.
200 EMA (Long-term): Filters major market direction.
These EMAs work together to signal trend crossovers, indicating shifts between bullish and bearish phases.
Supertrend:
This indicator highlights momentum and volatility. A positive Supertrend indicates strong upward momentum, while a negative Supertrend signals bearish momentum.
Average True Range (ATR):
ATR helps calculate dynamic stop loss and take profit levels. By adjusting exits to match market volatility, the strategy can respond to both fast-moving and consolidating conditions.
Entry & Exit Conditions:
Long Entry:
The 21 EMA crosses above the 50 EMA.
The price is above the Supertrend line, confirming bullish momentum.
ATR volatility is above its 50-period moving average to filter out low-volatility conditions.
Trade Exit:
A stop loss is set at 2 ATR below the entry price, and the take profit is set at 6 ATR above.
Short Entry:
The 21 EMA crosses below the 50 EMA.
The price is below the Supertrend line, confirming bearish momentum.
ATR volatility exceeds the 50-period moving average.
Trade Exit:
A stop loss is set at 2 ATR above the entry price, and take profit at 6 ATR below.
Default Strategy Settings:
Position Size: 2% of equity per trade (configurable)
Risk Management: Dynamic ATR-based stop loss and take profit
Indicators:
EMA 21, 50, and 200 for trend detection
Supertrend (factor: 3, ATR period: 10) for momentum confirmation
ATR for volatility-based risk control
Performance Metrics:
Optimal Timeframe: 30-minute chart
Backtesting Results:
Percent Profitable: 62%
Profit Factor: 1.136
Average Trade Return: 0.14%
Max Drawdown: 0.58% of equity
Total Trades: 35
The strategy demonstrates stable performance across both trending and volatile market conditions. Keep in mind that past performance does not guarantee future results.
Notes for Traders:
Test this strategy with realistic commission and slippage to ensure results are accurate for your trading environment.
While the strategy is designed for BTC/USD on the 30-minute timeframe, it may also perform well on other high-liquidity cryptocurrencies and timeframes with additional optimization.
Avoid over-leveraging. We recommend allocating 1-2% equity per trade for risk control.
Plot Information:
The script visualizes key indicators:
EMA 21 (blue), EMA 50 (red), EMA 200 (green)
Supertrend (orange)
Green/red background shading highlights bullish and bearish entry conditions.
Disclaimer:
This script is for educational purposes only. Use it as part of a comprehensive trading plan that includes proper risk management. Trading involves significant risk, and no strategy can predict future price movements with certainty.
MABS algo box Time Algothis indicator helps with time zone where market rejects hopefully u can use it
MABS algo box Time Algothis indicator helps with time zones n hours where the market rejects this my option n hopefully works for you
DOGE Trend-Following Strategy – Balanced Risk & Trend (15m)This strategy is designed to capture trends in DOGE/USDT, using a combination of moving averages and momentum indicators to filter high-quality trades. It is optimized for balanced risk management with a focus on reducing drawdowns through conservative position sizing.
How the Strategy Works
Exponential Moving Averages (EMAs):
A fast EMA (default: 50) tracks short-term price momentum.
A slow EMA (default: 200) represents the broader trend.
Trades are executed when these EMAs cross, signaling shifts in market direction.
ADX (Average Directional Index):
ADX (default length: 14) confirms trend strength.
The strategy only enters trades when ADX is above 25, indicating a strong trend. This helps avoid low-confidence trades during sideways markets.
RSI (Relative Strength Index):
RSI (default: 14) helps avoid trades during overbought or oversold conditions.
Long trades are exited when RSI crosses above 70, while short trades are closed when RSI drops below 30.
Multi-Timeframe Filter:
To further validate trends, 4-hour EMAs are integrated into the strategy, keeping entries in sync with larger market movements.
Performance Highlights
Net Profit: +$2,438.85 USDT (0.24% return over testing period)
Profit Factor: 1.136 – indicating more profit than loss overall.
Closed Trades: 35
Winning Trades: 62.86%
Max Drawdown: 0.58% – representing the largest equity decrease during the test period.
Trade Duration: On average, trades last about 40 bars (10 hours on a 15-minute chart).
Trade Setup
Long Entry:
A long position is taken when:
The 50 EMA crosses above the 200 EMA,
The ADX is above 25, and
RSI is above 30 (indicating healthy momentum).
The trade is exited when RSI hits 70 or price reaches a dynamic profit or stop-loss level.
Short Entry:
A short position is entered when:
The 50 EMA crosses below the 200 EMA,
The ADX confirms trend strength above 25, and
RSI is below 70 (avoiding oversold conditions).
The short position closes if RSI drops to 30 or stop-loss/take-profit criteria are met.
Strategy Parameters
Fast EMA Length: Default set to 50.
Slow EMA Length: Default set to 200.
ADX Length: Default set to 14 with a threshold of 25 for filtering trends.
RSI: Length is 14 with overbought/oversold thresholds at 70 and 30.
Dynamic Take Profit & Stop Loss: Configurable, allowing for risk customization.
Backtesting Conditions
Account Size: $100,000
Position Size: 2% of equity per trade – within the recommended 1-5% risk management framework.
Slippage and Commission: Set to realistic values to improve accuracy.
The backtest ran on DOGE/USDT over a multi-month period, showing reliable performance on the 15-minute timeframe. While past performance is not a guarantee of future success, the results suggest this approach may offer a robust framework for trend-following traders.
Strategy Notes
This updated version prioritizes sustainability by ensuring trades risk no more than 2% of equity. The combination of multiple indicators helps avoid whipsaws and improves long-term profitability. Always test strategies with your own data and market conditions before live trading.
EMA50EMA150#gangesThis strategy is a trading system that uses Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to determine entry and exit points for trades. Here's a breakdown of the key components and logic:
Key Indicators:
EMA 50 (Exponential Moving Average with a 50-period window): This is a more responsive moving average to recent price movements.
EMA 150 (Exponential Moving Average with a 150-period window): A slower-moving average that helps identify longer-term trends.
SMA 150 (Simple Moving Average with a 150-period window): This acts as a stop-loss indicator for long trades.
User Inputs:
Start Date and End Date: The strategy is applied only within this date range, ensuring that trading only occurs during the specified period.
Trade Conditions:
Buy Signal (Long Position):
A buy is triggered when the 50-period EMA crosses above the 150-period EMA (indicating the price is gaining upward momentum).
Sell Signal (Short Position):
A sell is triggered when the 50-period EMA crosses below the 150-period EMA (indicating the price is losing upward momentum and moving downward).
Stop-Loss for Long Positions:
If the price drops below the 150-period SMA, the strategy closes any long positions as a stop-loss mechanism to limit further losses.
Re-Entry After Stop-Loss:
After a stop-loss is triggered, the strategy monitors for a re-entry signal:
Re-buy: If the price crosses above the 150-period EMA from below, a new long position is triggered.
Re-sell: If the 50-period EMA crosses below the 150-period EMA, a new short position is triggered.
Trade Execution:
Buy or Sell: The strategy enters trades based on the conditions described and exits them if the stop-loss conditions are met.
Re-entry: After a stop-loss, the strategy tries to re-enter the market based on the same buy/sell conditions.
Risk Management:
Commission and Slippage: The strategy includes a 0.1% commission on each trade and allows for 3 pips of slippage to account for real market conditions.
Visuals:
The strategy plots the 50-period EMA (blue), 150-period EMA (red), and 150-period SMA (orange) on the chart, helping users visualize the key levels for decision-making.
Date Range Filter:
The strategy only executes trades during the user-defined date range, which helps limit trades to a specific period and avoid backtesting errors on irrelevant data.
Stop-Loss Logic:
The stop-loss is triggered when the price crosses below the 150-period SMA, closing the long position to protect against significant drawdowns.
Overall Strategy Goal:
The strategy aims to capture long-term trends using the EMAs for entry signals, while protecting profits through the stop-loss mechanism and offering a way to re-enter the market after a stop-loss.
Gaussian Channel with Stochastic RSI StrategyUsed this recenrly
Advantages:
The strategy combines multiple indicators to provide a more comprehensive view of the market.
The Gaussian channel helps to identify potential support and resistance levels.
The stochastic oscillator and RSI help to identify overbought and oversold conditions.
Disadvantages:
The strategy requires multiple indicators, which can increase the complexity of the analysis.
The Gaussian channel may not always provide accurate support and resistance levels.
The stochastic oscillator and RSI may provide false signals in certain market conditions.
Overall, the Gaussian Channel with Stochastic RSI Strategy is a complex trading strategy that requires careful analysis and risk management. It is essential to backtest the strategy and adjust the parameters to suit your trading style and risk tolerance.
Momentum-Volatility Fibonacci Oscillator with Stochastic RSIMomentum Volatility Fibonacci Oscillator with Stochastic RSI
Buy when %K crosses above %D under 20 (oversold).
Sell when %K crosses below %D over 80 (overbought).
Pre-Pump Strategy test 1 Key Features of the Script
RSI (Relative Strength Index) Conditions:
Detects when the RSI crosses below 35 (oversold condition) or above 75 (overbought condition).
These levels indicate potential reversal points or local tops/bottoms.
MACD (Moving Average Convergence Divergence) Crossover:
Identifies MACD crossovers on the 4-hour timeframe.
A bullish crossover (MACD line crossing above the signal line) suggests potential upward momentum.
Volume Spikes:
Detects when the current volume is >150% of the 24-hour average volume.
Volume spikes often indicate increased interest and potential price movement.
Price Touching Key EMAs (Exponential Moving Averages):
Monitors when the price touches or crosses key EMAs: 13, 48, and 200.
These EMAs act as dynamic support/resistance levels.
Bollinger Band Squeeze:
Identifies when the Bollinger Bands narrow significantly (a squeeze).
A squeeze often precedes a breakout or strong price movement.
Breakout of Key Support/Resistance Levels:
Alerts when the price breaks above a resistance level or below a support level with volume confirmation.
This indicates a potential trend continuation or reversal.
Custom Horizontal Ray Indicator//@version=5
indicator("Custom Horizontal Ray Indicator", overlay=true)
// تنظیم تعداد کندلهای بررسیشده
length = 7200
// متغیرهای ذخیره خطوط
var greenLines = array.new_line()
var redLines = array.new_line()
// تابعی برای رسم خط و افزودن به آرایه
draw_line(array, price, color) =>
var l = line.new(x1=bar_index, y1=price, x2=bar_index + 1000, y2=price, color=color, width=2)
array.push(array, l)
// بررسی کندلهای صعودی (A) و رسم خطوط سبز
if (close > open) and (high < (low + high) / 2)
draw_line(greenLines, high , color.green)
// بررسی کندلهای نزولی (B) و رسم خطوط قرمز
if (close < open) and (low > (low + high) / 2)
draw_line(redLines, low , color.red)
// تابعی برای حذف خطوط هنگام برخورد قیمت
remove_lines(array, is_green) =>
for i = array.size(array) - 1 to 0
var l = array.get(array, i)
var line_price = line.get_y1(l)
if (is_green and high >= line_price) or (not is_green and low <= line_price)
line.delete(l)
array.remove(array, i)
// حذف خطوط سبز هنگام برخورد قیمت
remove_lines(greenLines, true)
// حذف خطوط قرمز هنگام برخورد قیمت
remove_lines(redLines, false)
// تعریف شرایط اعلانها در بخش سراسری
greenLineCondition = array.size(greenLines) > 0 and high >= line.get_y1(array.get(greenLines, array.size(greenLines) - 1))
redLineCondition = array.size(redLines) > 0 and low <= line.get_y1(array.get(redLines, array.size(redLines) - 1))
// ایجاد اعلانها برای خطوط سبز
alertcondition(greenLineCondition, title="برخورد با خط سبز", message="قیمت به خط سبز برخورد کرد")
// ایجاد اعلانها برای خطوط قرمز
alertcondition(redLineCondition, title="برخورد با خط قرمز", message="قیمت به خط قرمز برخورد کرد")
Gaussian Channel with Stochastic RSI StrategyKeltner Channel with Stochastic RSI Strategy
The Keltner Channel with Stochastic RSI strategy is a technical trading approach that combines the Keltner Channel, a volatility-based indicator, with the Stochastic RSI, a momentum indicator. This strategy aims to identify trading opportunities by detecting overbought and oversold conditions in conjunction with volatility contractions and expansions.
Components:
Keltner Channel: A volatility-based indicator consisting of three bands: the upper band, lower band, and middle band (20-period moving average). The bands are set at 2 x Average True Range (ATR) above and below the middle band.
Stochastic RSI: A momentum indicator that measures the relative position of the RSI (Relative Strength Index) within its own range. The Stochastic RSI is set to 14 periods with overbought and oversold levels at 80 and 20, respectively.
Strategy Rules:
Long Entry:
The price touches or breaks below the lower Keltner Channel band.
The Stochastic RSI falls below 20, indicating oversold conditions.
The RSI must be below 30 to confirm the oversold condition.
Short Entry:
The price touches or breaks above the upper Keltner Channel band.
The Stochastic RSI rises above 80, indicating overbought conditions.
The RSI must be above 70 to confirm the overbought condition.
Exit Rules:
Profit Target: Set a profit target at 1:1 or 1:2 risk-reward ratio.
Stop Loss: Set a stop loss at the opposite side of the Keltner Channel band.
Trailing Stop: Use a trailing stop to lock in profits as the trade moves in your favor.
Additional Considerations:
Trend Filter: Use a trend filter, such as a 50-period moving average, to ensure that trades are taken in the direction of the underlying trend.
Risk Management: Always use proper risk management techniques, such as position sizing and stop-loss orders, to limit potential losses.
By combining the Keltner Channel and Stochastic RSI indicators, this strategy offers a unique approach to identifying trading opportunities in various markets.
