Adaptive Trend Flow [QuantAlgo]Adaptive Trend Flow 📈🌊
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical indicator that harnesses the power of volatility-adjusted EMAs to navigate market trends with precision. By seamlessly integrating a dynamic dual-EMA system with adaptive volatility bands, this premium tool enables traders and investors to identify and capitalize on sustained market moves while effectively filtering out noise. The indicator's unique approach to trend detection combines classical technical analysis with modern adaptive techniques, providing traders and investors with clear, actionable signals across various market conditions and asset class.
💫 Indicator Architecture
The Adaptive Trend Flow provides a sophisticated framework for assessing market trends through a harmonious blend of EMA dynamics and volatility-based boundary calculations. Unlike traditional moving average systems that use fixed parameters, this indicator incorporates smart volatility measurements to automatically adjust its sensitivity to market conditions. The core algorithm employs a dual EMA system combined with standard deviation-based volatility bands, creating a self-adjusting mechanism that expands and contracts based on market volatility. This adaptive approach allows the indicator to maintain its effectiveness across different market phases - from ranging to trending conditions. The volatility-adjusted bands act as dynamic support and resistance levels, while the gradient visualization system provides instant visual feedback on trend strength and duration.
📊 Technical Composition and Calculation
The Adaptive Trend Flow is composed of several technical components that create a dynamic trending system:
Dual EMA System: Utilizes fast and slow EMAs for primary trend detection
Volatility Integration: Computes and smooths volatility for adaptive band calculation
Dynamic Band Generation: Creates volatility-adjusted boundaries for trend validation
Gradient Visualization: Provides progressive visual feedback on trend strength
📈 Key Indicators and Features
The Adaptive Trend Flow utilizes customizable length parameters for both EMAs and volatility calculations to adapt to different trading styles. The trend detection component evaluates price action relative to the dynamic bands to validate signals and identify potential reversals.
The indicator incorporates multi-layered visualization with:
Color-coded basis and trend lines (bullish/bearish)
Adaptive volatility-based bands
Progressive gradient background for trend duration
Clear trend reversal signals (𝑳/𝑺)
Smooth fills between key levels
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator: Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trends: Watch the basis line and trend band interactions to identify trend direction and strength. The gradient background intensity indicates trend duration and conviction.
🎯 Track Signals: Pay attention to the trend reversal markers that appear on the chart:
→ Long signals (𝑳) appear when price action confirms a bullish trend reversal
→ Short signals (𝑺) indicate validated bearish trend reversals
🔔 Set Alerts: Configure alerts for trend changes in both bullish and bearish directions, ensuring you never miss significant technical developments.
🌟 Summary and Tips
The Adaptive Trend Flow by QuantAlgo is a sophisticated technical tool designed to support trend-following strategies across different market environments and asset class. By combining dual EMA analysis with volatility-adjusted bands, it helps traders and investors identify significant trend changes while filtering out market noise, providing validated signals. The tool's adaptability through customizable EMA lengths, volatility smoothing, and sensitivity settings makes it suitable for various trading timeframes and styles, allowing users to capture trending opportunities while maintaining protection against false signals.
Key parameters to optimize for your trading and/or investing style:
Main Length: Adjust for more or less sensitivity to trend changes (default: 10)
Smoothing Length: Fine-tune volatility calculations for signal stability (default: 14)
Sensitivity: Balance band width for trend validation (default: 2.0)
Visual Settings: Customize appearance with color and display options
The Adaptive Trend Flow is particularly effective for:
Identifying sustained market trends
Detecting trend reversals with confirmation
Measuring trend strength and duration
Filtering out market noise and false signals
Remember to:
Allow the indicator to validate trend changes before taking action
Use the gradient background to gauge trend strength
Combine with volume analysis for additional confirmation
Consider multiple timeframes for a complete market view
Adjust sensitivity based on market volatility conditions
Moving Averages
Supertrend with Multiple EMA by KanzuBaeFeatures:
ATR (Average True Range) Settings:
Allows the user to adjust the ATR period and multiplier for the Supertrend calculation.
Offers an option to choose between the standard ATR or a simple moving average (SMA) for ATR calculation.
Source Price:
Users can select from four different EMAs (EMA1, EMA2, EMA3, EMA4) or use the default HL2 (average of high and low) as the source price for calculating the Supertrend.
The EMAs are calculated with adjustable periods.
Supertrend Calculation:
The Supertrend is calculated using the selected source price and ATR values. The trend direction is determined based on whether the closing price is above or below the Supertrend lines.
Trend Plotting:
The script plots the Supertrend lines: green for an uptrend and red for a downtrend. These lines are updated based on trend reversals.
Buy/Sell Signals:
The script generates buy and sell signals based on trend reversals (when the trend changes from up to down or vice versa).
Buy and sell signals are marked on the chart using shapes and labels.
Background Highlighting:
The background is highlighted in green for an uptrend and red for a downtrend. This can be turned on or off using the highlighting option.
EMA Lines:
The selected EMAs (EMA1, EMA2, EMA3, EMA4) are plotted on the chart for reference.
Alerts:
Alerts are triggered when a buy or sell signal occurs or when the trend direction changes.
Customization:
You can adjust the ATR period, multiplier, and EMA periods.
You can enable or disable the display of buy/sell signals and background highlighting.
The script allows for flexibility in choosing which EMA to use for the source price.
This script provides a versatile Supertrend indicator with multiple EMA options and various customization choices for traders who want more control over their strategy.
Heikin Ashi Candles - [Better Overlay]Heikin Ashi Candles - Better Overlay
Heikin Ashi candles are a unique charting technique designed to smooth price data, making it easier to identify trends and potential reversals. The "Heikin Ashi Candles - Better Overlay" indicator takes this concept further by introducing enhancements like a moving average based on the Heikin Ashi values and an overlay of actual price dynamics. This blog explores the functionality and features of this indicator.
Key Features
1. Heikin Ashi Candle Plotting
The indicator calculates Heikin Ashi values (open, high, low, and close) to plot candles directly on the chart. These candles provide a clearer view of market trends by reducing noise commonly seen in standard candlesticks.
- Heikin Ashi Close: The average of open, high, low, and close prices.
- Heikin Ashi Open: A smoothed value derived from the previous Heikin Ashi open and close values.
- Heikin Ashi High/Low: The highest and lowest prices between the Heikin Ashi open, close, and the actual high/low of the period.
The candle colors are intuitive:
- Green: Indicates bullish movement.
- Red: Indicates bearish movement.
The indicator uses semi-transparent candle bodies to ensure better visibility of the actual price chart underneath.
2. Heikin Ashi Moving Average
The indicator includes an optional moving average calculated from the Heikin Ashi values. This moving average helps traders identify the overall trend direction and its strength.
- The length of the moving average is adjustable via input settings.
- The color of the moving average line reflects its trend:
- Green: Uptrend.
- Red: Downtrend.
3. Dynamic Actual Price Line
To maintain a connection with real-time price data, the indicator overlays a dashed line representing the actual closing price of the asset. This feature provides valuable context when analyzing Heikin Ashi data, ensuring traders do not lose sight of the actual price levels.
Customization Options
The indicator offers several customization settings for better usability:
- Heikin Ashi Moving Average:
- Toggle to show or hide the moving average.
- Adjustable length for the moving average, ranging from 1 to 500 periods.
- Candle Styling:
- The colors and transparency levels of the candles are predefined to maintain chart clarity.
- Users can visually distinguish Heikin Ashi data from the actual price chart.
Practical Use Cases
1. Trend Identification
Heikin Ashi candles smooth out noise, making it easier to identify trends. Bullish and bearish candle coloring provides a quick visual cue for market sentiment.
2. Trend Strength and Reversals
The Heikin Ashi moving average serves as a reliable indicator of trend strength. A change in the color of the moving average can indicate a potential trend reversal.
3. Real-Time Price Reference
The dynamic price line ensures traders have a clear reference to the actual closing price, which is crucial for making informed decisions in real-time markets.
Conclusion
The "Heikin Ashi Candles - Better Overlay" indicator is a versatile tool for traders looking to combine the smoothing benefits of Heikin Ashi candles with the precision of real-time price data. Its additional features, like the Heikin Ashi moving average and dynamic price line, make it a comprehensive solution for both trend-following and real-time trading strategies.
This indicator is a great addition to any trader's toolkit, offering clarity and actionable insights without overcomplicating the chart. Give it a try to explore its potential in your trading journey.
DIY Strategy Indicator Essentials KitOverview:
The DIY Strategy Indicator Essentials Kit is a comprehensive suite of foundational indicators designed to help traders build and refine their own strategies. This tool integrates key components such as Multi-Timeframe VWAP lines, Support/Resistance VWAP Bands, Customizable Moving Averages, and an Entry/Exit Color Coded MACD, offering flexibility and customization for a wide range of trading styles. By combining these essential elements into one cohesive package, this script provides a strong foundation for technical analysis while remaining adaptable to your individual needs.
Future updates will expand functionality, adding more tools and features to enhance your trading workflow.
Key Features:
VWAP Bands: Multi-standard deviation VWAP bands with customizable themes to help identify overbought and oversold levels in the market. Includes options to toggle single or double bands for deeper insights.
Daily, Weekly, and Monthly VWAP Lines: Displays VWAP levels that reset daily, weekly, or monthly, offering traders clear benchmarks for tracking market trends.
Daily 5 Moving Average: A smooth, daily timeframe 5-period moving average plotted on all timeframes. Includes advanced smoothing methods like McGinley and customizable labels for added clarity.
Multi-Timeframe MACD: A fully customizable MACD that works across multiple timeframes, with optional histogram color changes to signal trend exhaustion and cross detection.
Customizable Moving Averages: Incorporates up to four moving averages with selectable types (SMA, EMA, VWMA, or RMA) and lengths.
How It Works:
VWAP components (Daily, Weekly, Monthly, and Bands) help traders identify key support and resistance levels.
The Daily 5 Moving Average leverages higher-timeframe data to avoid "stairstepping" on lower timeframes, providing a smoother representation of trends.
The MACD section enables traders to detect momentum shifts, with color-coded signals and optional dot markers for line crosses.
Moving Averages can be customized to reflect user preferences, catering to various trading strategies such as trend-following or mean-reversion.
How to Use:
Enable or disable components through the settings menu to tailor the indicator to your trading style.
Adjust VWAP bands and MA types to reflect market conditions or personal preferences.
Monitor MACD histogram color changes for potential trend exhaustion and crossovers.
Use VWAP levels to confirm key market areas or improve entry/exit timing.
Purpose and Originality:
This script is designed to consolidate essential tools into one cohesive indicator, making it ideal for traders looking to optimize limited indicator slots. While inspired by widely-used concepts, this script is original in its integration of advanced smoothing methods, customizable VWAP bands, and multi-timeframe MACD enhancements. The focus is on adaptability and practicality, empowering traders to customize their workspace while maintaining clarity and efficiency.
Acknowledgements:
Parts of this script’s functionality have been adapted and modified from open-source scripts within the TradingView library. It is a community-driven effort to enhance trading capabilities while respecting the original work of contributors.
ScalpZilla Strategy Claude 0.1 (beta)This script is designed to backtest your strategy based on any MA indicator.
In my case I use ScalpZilla Signal Line as a signal line crossovers.
You may put any MA in you source Input.
0.1 Beta Version
signal buy javad/time/15mThis indicator is designed to give a buy signal on a 15-minute time frame by specifying a profit limit and a loss limit.
Moyenne Mobile Réactive MulticoloreUses a custom weighting formula to give more weight to recent prices
Incorporates trend calculation based on period comparisons, similar to the logic used in complex trading systems.
Range phase detection uses a threshold of 0.1% variation, which allows consolidation periods to be identified
21 EMA Crossover Strategy with 80% accuracy21 EMA Crossover Strategy with 80% accuracy. Once high of the buy signal is broken take a long trade and once low of sell signal is broken then take a short trade. Put stoploss as high or low of prev candle based on the trade
BK MA Horizontal Lines
Indicator Description:
I am incredibly proud and excited to share my first indicator with the TradingView community! This tool has been instrumental in helping me optimize my positioning and maximize my trades.
Moving Averages (MAs) are among the top three most crucial indicators for trading, and I believe that the Daily, Weekly, and Monthly MAs are especially critical. The way I’ve designed this indicator allows you to combine MAs from your Daily timeframe with one or two from the Weekly or Monthly timeframes, depending on what is most relevant for the specific product or timeframe you’re analyzing.
For optimal use, I recommend:
Spacing your chart about 11 spaces from the right side.
Setting the Labels at 10 in the indicator configuration.
Keeping the line thickness at size 1, while using size 2 for my other indicator, "BK BB Horizontal Lines", which follows a similar concept but applies to Bollinger Bands.
If you find success with this indicator, I kindly ask that you give back in some way through acts of philanthropy, helping others in the best way you see fit.
Good luck to everyone, and always remember: God gives us everything. May all the glory go to the Almighty!
Gold Trading Signals + Trendlines + Patterns//@version=5
indicator("Gold Trading Signals + Trendlines + Patterns", overlay=true)
// === تنظیمات ورودی ===
emaShortLength = input.int(50, title="EMA Short Length", minval=1)
emaLongLength = input.int(200, title="EMA Long Length", minval=1)
rsiLength = input.int(14, title="RSI Length", minval=1)
atrMultiplierSL = input.float(1.5, title="ATR Multiplier for Stop Loss", minval=0.1)
tpMultiplier = input.float(2.0, title="Take Profit Multiplier", minval=1.0)
pivotLookback = input.int(5, title="Pivot Lookback Period", minval=2)
// === اندیکاتورها ===
emaShort = ta.ema(close, emaShortLength)
emaLong = ta.ema(close, emaLongLength)
rsi = ta.rsi(close, rsiLength)
atr = ta.atr(14)
// === قوانین ورود ===
longCondition = close > emaShort and emaShort > emaLong and rsi > 40
shortCondition = close < emaShort and emaShort < emaLong and rsi < 60
// === مدیریت ریسک ===
stopLossLong = close - atr * atrMultiplierSL
takeProfitLong = close + atr * atrMultiplierSL * tpMultiplier
stopLossShort = close + atr * atrMultiplierSL
takeProfitShort = close - atr * atrMultiplierSL * tpMultiplier
// === سیگنالهای بصری ===
plotshape(series=longCondition, style=shape.labelup, location=location.belowbar, color=color.green, text="BUY", size=size.small)
plotshape(series=shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, text="SELL", size=size.small)
if longCondition
line.new(x1=bar_index, y1=stopLossLong, x2=bar_index + 10, y2=stopLossLong, color=color.red, width=1, style=line.style_dotted)
line.new(x1=bar_index, y1=takeProfitLong, x2=bar_index + 10, y2=takeProfitLong, color=color.green, width=1, style=line.style_dotted)
if shortCondition
line.new(x1=bar_index, y1=stopLossShort, x2=bar_index + 10, y2=stopLossShort, color=color.red, width=1, style=line.style_dotted)
line.new(x1=bar_index, y1=takeProfitShort, x2=bar_index + 10, y2=takeProfitShort, color=color.green, width=1, style=line.style_dotted)
// === خطوط روند ===
// محاسبه سقفها و کفها (Pivot Points)
pivotHigh = ta.pivothigh(high, pivotLookback, pivotLookback)
pivotLow = ta.pivotlow(low, pivotLookback, pivotLookback)
// رسم خطوط روند بر اساس سقفها و کفها
var line upTrendline = na
var line downTrendline = na
if (not na(pivotLow))
if (na(upTrendline))
upTrendline := line.new(x1=bar_index , y1=pivotLow, x2=bar_index, y2=low, color=color.green, width=1, style=line.style_solid)
else
line.set_xy2(upTrendline, bar_index, low)
if (not na(pivotHigh))
if (na(downTrendline))
downTrendline := line.new(x1=bar_index , y1=pivotHigh, x2=bar_index, y2=high, color=color.red, width=1, style=line.style_solid)
else
line.set_xy2(downTrendline, bar_index, high)
// === الگوهای قیمتی ===
// شناسایی مثلث (Triangle)
isTriangle = ta.crossover(emaShort, emaLong) or ta.crossunder(emaShort, emaLong)
if isTriangle
label.new(bar_index, high, "Triangle", style=label.style_circle, color=color.orange, textcolor=color.white)
// === نمایش EMAها ===
plot(emaShort, color=color.blue, title="EMA 50", linewidth=2)
plot(emaLong, color=color.red, title="EMA 200", linewidth=2)
// === نمایش RSI ===
hline(70, "Overbought (70)", color=color.gray, linestyle=hline.style_dotted)
hline(30, "Oversold (30)", color=color.gray, linestyle=hline.style_dotted)
Relative StrengthThis strategy employs a custom "strength" function to assess the relative strength of a user-defined source (e.g., closing price, moving average) compared to its historical performance over various timeframes (8, 34, 20, 50, and 200 periods). The strength is calculated as a percentage change from an Exponential Moving Average (EMA) for shorter timeframes and a Simple Moving Average (SMA) for longer timeframes. Weights are then assigned to each timeframe based on a logarithmic scale, and a weighted average strength is computed.
Key Features:
Strength Calculation:
Calculates the relative strength of the source using EMAs and SMAs over various timeframes.
Assigns weights to each timeframe based on a logarithmic scale, emphasizing shorter timeframes.
Calculates a weighted average strength for a comprehensive view.
Visualizations:
Plots the calculated strength as a line, colored green for positive strength and red for negative strength.
Fills the background area below the line with green for positive strength and red for negative strength, enhancing visualization.
Comparative Analysis:
Optionally displays the strength of Bitcoin (BTC), Ethereum (ETH), S&P 500, Nasdaq, and Dow Jones Industrial Average (DJI) for comparison with the main source strength.
Backtesting:
Allows users to specify a start and end time for backtesting the strategy's performance.
Trading Signals:
Generates buy signals when the strength turns positive from negative and vice versa for sell signals.
Entry and exit are conditional on the backtesting time range.
Basic buy and sell signal plots are commented out (can be uncommented for visual representation).
Risk Management:
Closes all open positions and cancels pending orders outside the backtesting time range.
Disclaimer:
Backtesting results do not guarantee future performance. This strategy is for educational purposes only and should be thoroughly tested and refined before risking capital.
Additional Notes:
- The strategy uses a custom "strength" function that can be further customized to explore different timeframes and weighting schemes.
- Consider incorporating additional technical indicators or filters to refine the entry and exit signals.
- Backtesting with different parameters and market conditions is crucial for evaluating the strategy's robustness.
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.
Strategies 71% Profit / Scalping by Jasson+FuturosMake the most of it, Time: 10:00am A 12:00pm (New-York).
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.
My Moving Average Crossover StrategyOverview of the My Moving Average Crossover Strategy
Moving Averages:
A short-term moving average reacts more quickly to price changes, while a long-term moving average 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
Sell Signal:
Implementing Take Profit and Stop Loss
1. Take Profit Levels - 10
2. Stop Loss Levels - 5
3. Take Profit Dynamic - 20
4. Stop Loss Dynamic - 2.5
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.
MA 200 and Bollinger Bands StrategyNamaku Alfian, aku wong jawa timur, gawe en lek menurutmu cocok, lek engga yo ojo dielek2no, iki mek gae testing tok, aku yo butuh duit su
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.
MA/EMA CrossThe "MA/EMA Cross" script is a trading indicator that identifies and signals potential buying and selling opportunities based on the crossover of two moving averages: the Simple Moving Average (MA) and the Exponential Moving Average (EMA). This script helps traders determine trends and reversals, providing visual alerts on the chart when the MA and EMA cross each other.
Rising and Falling Trendlines with MA20 (Moving Average)//@version=5
indicator("Yükselen ve Düşen Direnç - MA20 Trend Çizgisi", overlay=true)
// MA20 Hesaplama
ma_length = 20
ma20 = ta.sma(close, ma_length)
// MA20'nin Yükseldiği ve Düşüşe Geçtiği Durumları Tespit Etme
ma_uptrend = ma20 > ma20 // MA20'nin bir önceki değerden büyük olup olmadığını kontrol et
ma_downtrend = ma20 < ma20 // MA20'nin bir önceki değerden küçük olup olmadığını kontrol et
// Yükselen Trend Çizgisi Başlatma
var float trendStartUp = na
var float trendEndUp = na
var int trendStartIndexUp = na
var int trendEndIndexUp = na
// Düşen Trend Çizgisi Başlatma
var float trendStartDown = na
var float trendEndDown = na
var int trendStartIndexDown = na
var int trendEndIndexDown = na
// Yükselen Trend Çizgisi (MA20 Yükseliyorsa)
if (ma_uptrend and na(trendStartUp)) // Eğer yükselen trend başlamamışsa, başlat
trendStartUp := ma20
trendStartIndexUp := bar_index
else if (ma_uptrend) // Eğer yükselen trend devam ediyorsa, bitişi güncelle
trendEndUp := ma20
trendEndIndexUp := bar_index
// Düşen Trend Çizgisi (MA20 Düşüyorsa)
if (ma_downtrend and na(trendStartDown)) // Eğer düşen trend başlamamışsa, başlat
trendStartDown := ma20
trendStartIndexDown := bar_index
else if (ma_downtrend) // Eğer düşen trend devam ediyorsa, bitişi güncelle
trendEndDown := ma20
trendEndIndexDown := bar_index
// Yükselen Trend Çizgisini Çizme (Kırmızı Renk)
if (not na(trendStartUp) and not na(trendEndUp))
line.new(x1=trendStartIndexUp, y1=trendStartUp, x2=trendEndIndexUp, y2=trendEndUp,
color=color.green, width=2, style=line.style_solid)
// Düşen Trend Çizgisini Çizme (Mavi Renk)
if (not na(trendStartDown) and not na(trendEndDown))
line.new(x1=trendStartIndexDown, y1=trendStartDown, x2=trendEndIndexDown, y2=trendEndDown,
color=color.red, width=2, style=line.style_solid)
// MA20 Çizgisi
plot(ma20, color=color.blue, linewidth=2, title="MA20")
Rising and Falling Trendlines with MA20 (Moving Average)
This script draws rising and falling trendlines based on the 20-period Simple Moving Average (MA20). The trendlines are drawn dynamically based on whether the MA20 is rising or falling.
What this Script Does:
1. Rising Trendline (Green Line):
When the MA20 is rising (i.e., the current MA20 value is greater than the previous bar's MA20 value), the script draws a rising trendline in green color. This indicates an uptrend, where the market is showing bullish momentum.
2. Falling Trendline (Red Line):
When the MA20 is falling (i.e., the current MA20 value is less than the previous bar's MA20 value), the script draws a falling trendline in red color. This indicates a downtrend, where the market is showing bearish momentum.
3. MA20 Plot:
In addition to drawing the trendlines, the script plots the MA20 on the chart as a blue line, which helps to visualize the average price over the last 20 periods.
ALMA Crossover StrategyALMA (Arnaud Legoux Moving Average) is a type of moving average that attempts to reduce the lag of traditional moving averages while still being responsive to recent price changes. It is based on a weighted average. Strategy has user defined line length and can be adjusted to suit the trader's preference.
The script is purely for educational purposes and you are advised to backtest before using for trading
