Easy Profit SR Buy Sell By DSW The "Fast 9 MA" refers to a 9-period simple moving average (SMA) that tracks the average price of an asset over the last 9 bars, providing a shorter-term view of price trends. The "Slow 21 MA" is a 21-period SMA, which smooths out price fluctuations over a longer period, giving a broader perspective on the market trend. The 9-period fast moving average reacts more quickly to price changes, while the 21-period slow moving average lags behind, making it useful for identifying more stable trends. The combination of these two moving averages helps traders identify potential buy or sell signals through crossovers, with the fast MA crossing above the slow MA signaling a buy and vice versa for a sell. The 14 RSI (Relative Strength Index) is a momentum oscillator that measures the speed and change of price movements, indicating overbought or oversold conditions when it reaches levels above 70 or below 30, respectively. Together, these indicators provide a comprehensive view of both trend direction and market momentum, assisting traders in making informed decisions.
Oscillatori
Multi-Timeframe Stochastic OverviewPurpose of the Multi-Timeframe Stochastic Indicator:
The Multi-Timeframe Stochastic Indicator provides a consolidated view of market conditions across multiple timeframes (M1, M5, M15, H1) based on the Stochastic Oscillator, a popular technical analysis tool. The main objective is to allow traders to quickly assess momentum and potential trend reversals across different timeframes on a single chart, helping to make informed trading decisions.
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General Purpose of Stochastic Oscillator:
The Stochastic Oscillator measures the relationship between a security's closing price and its price range over a given period, aiming to identify momentum, overbought/oversold levels, and potential reversal points. It works on the assumption that:
1. In uptrends, prices tend to close near their highs.
2. In downtrends, prices tend to close near their lows.
It consists of two lines:
%K (fast line): Represents the raw Stochastic value.
%D (slow line): A moving average of %K, used to smooth the data for better signals.
The indicator is generally used to:
Identify Overbought (price above 80% threshold) and Oversold (price below 20% threshold) conditions.
Spot Bullish and Bearish divergences for potential trend reversals.
Evaluate momentum strength within a trend.
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How This Multi-Timeframe Indicator Enhances Stochastic's Utility:
1. Multi-Timeframe Overview:
The indicator calculates Stochastic values for multiple timeframes (1-minute, 5-minute, 15-minute, and 1-hour) and displays their market conditions (e.g., Bullish, Bearish, Overbought, Oversold, or Indecision) in an organized table format.
This gives traders a broad perspective on short-term, mid-term, and long-term trends simultaneously.
2. Market Condition Summary:
Bullish: Indicates upward momentum (both %K and %D > 50%).
Bearish: Indicates downward momentum (both %K and %D < 50%).
Overbought: Suggests potential trend exhaustion (both %K and %D > 80%).
Oversold: Suggests a potential reversal to the upside (both %K and %D < 20%).
Indecision: Highlights uncertainty when %K and %D are on opposite sides of the 50% level.
3. Quick Decision-Making:
The color-coded table (green for Bullish/Overbought, red for Bearish/Oversold, orange for Indecision) allows traders to quickly identify dominant conditions and momentum alignment across timeframes, helping in trade confirmation.
4. Trend Analysis:
By observing alignment or divergence in market conditions across timeframes, traders can gauge the strength of a trend or anticipate reversals. For example:
If all timeframes show "Bullish," it suggests strong momentum.
If smaller timeframes are "Overbought" while larger ones are "Bearish," it warns of a possible pullback.
5. Customizable Parameters:
The indicator allows customization of Stochastic K, D, smoothing values, and overbought/oversold levels, enabling users to tailor the analysis to specific trading styles or market conditions.
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Use Cases:
1. Scalping:
A scalper can use lower timeframes (e.g., M1, M5) to find overbought/oversold zones for quick trades.
2. Swing Trading:
Swing traders can align smaller timeframes with higher ones (e.g., M15 and H1) to confirm momentum before entering a trade.
3. Trend Reversals:
Overbought or oversold conditions across all timeframes may indicate a major reversal point, helping traders plan exits or countertrend entries.
4. Trend Continuation:
Consistent bullish or bearish conditions across all timeframes confirm the continuation of a trend, providing confidence to hold positions.
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Summary:
This indicator enhances the traditional Stochastic Oscillator by giving a multi-timeframe snapshot of market momentum, overbought/oversold conditions, and trend direction. It enables traders to quickly assess the overall market state, spot opportunities, and make more informed trading decisions.
BTC/FOREX/INDEX SCALP INDICATOR BY MANDALORIANThis indicator helps trader to make them a more consultative decision based on given parameters in this indicator.
Easy Profit SR Buy Sell By DSW This script, titled "Easy Profit 500-1000 Buy Sell By DSW with Support and Resistance," is designed for use in TradingView and provides a simple yet effective trading strategy. The indicator uses moving averages to generate buy and sell signals based on crossovers between a fast (9-period) and slow (21-period) simple moving average (SMA). When the fast MA crosses above the slow MA, a buy signal is triggered, and when the fast MA crosses below the slow MA, a sell signal is generated. Additionally, the script integrates the Relative Strength Index (RSI) for confirmation, using an overbought level of 70 and an oversold level of 30 to further refine the buy and sell signals. Enhanced buy and sell signals are plotted when the crossover conditions align with the RSI confirmation, providing clearer entry and exit points. The script also includes dynamic support and resistance levels based on the highest high and lowest low over a customizable lookback period, helping traders identify key price levels. The resistance and support lines are plotted directly on the chart, with the resistance level marked in red and the support level in green. An optional shaded area between support and resistance can also be displayed to visually highlight potential trading ranges.
SMAs (14,21,50,100) by ShabiDefinition
This is the Simple moving average of 14, 21, 50, 100) . Simple Moving Average (SMA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Essentially, Moving Averages smooth out the “noise” when trying to interpret charts. Noise is made up of fluctuations of both price and volume. Because a Moving Average is a lagging indicator and reacts to events that have already happened, it is not used as a predictive indicator but rather an interpretive one, used for confirmations and analysis.
Simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
It must be taken into account that, while SMA helps filter out the noise and see the general direction in which the symbol has been moving, it is also slow to react to newer changes. The higher the SMA length is, the longer it will take for a major price change to be notably reflected in it.
CALCULATION
A Simple Moving Average with the length of X is a sum of last X values divided by X. Here is an example calculation of an SMA with the length of 3:
Sum of Period Values / Number of Periods
Closing Prices to be used: 5, 6, 7, 8, 9
First Day of 3 Period SMA: (5 + 6 + 7) / 3 = 6
Second Day of 3 Period SMA: (6 + 7 + 8) / 3 = 7
Third Day of 3 Period SMA: (7 + 8 + 9) /3 = 8
Vortex Indicator (add Background)It is an enhanced version of the Vortex Indicator with added background and background lines (horizontal lines).
StochRSI Multi-Timeframe AlertsAlert you when StochRSI is overbought or oversold on 15m, 30m, and 1h.
StochRSI Overbought/Oversold Alert on Multiple TimeframesAlert yourself when it is oversold or overbought on 4 timeframes: 15m, 30m, 1h, and 4h.
RSI with Merged SMA (RSI Shifted)rsi with merged sma and rsi shifted ; you can find out where exactly buy and sell
Directional Movement Index - CAFDirectional Movement Index with improved color pattern and 25 point horizontal line
Hybrid Trend Momentum Strategy by Biege ver. 1.0Strategy Profile
Type: Fixed-Parameter Trend Momentum System
Optimized For: 2-Hour Timeframe (Best Performance)
Core Logic:
Uses fixed 21/55/200 EMAs for trend identification
Combines RSI(14) momentum filter with SuperTrend(3,14) stop
Requires 1.5x volume surge + ATR volatility confirmation
===========================================================================
Hourly Profitability Drivers
EMA Precision
21-period EMA (~1 trading day) captures intraday swings
55-period EMA (~2.5 days) filters false hourly breakouts
RSI Stability
14-period RSI aligns with 14-hour cycles in crypto markets
Avoids overreaction to 15-minute noise
SuperTrend Efficiency
3x ATR(14) provides optimal trailing stop for hourly candles
Outperforms static stops in volatile crypto sessions
===========================================================================
Key Strengths
No Parameter Tweaking Needed: Pre-optimized for hourly candles
Trend Persistence Capture: Holds through minor pullbacks
Automatic Risk Control: Built-in cooldown (6h) prevents overtrading
===========================================================================
Critical Limitations
Overnight Gap Risk: Crypto markets move 24/7
News Event Vulnerability: Hourly candles may trap during FOMO spikes
Fixed Exit Rigidity: No manual stop-loss adjustments allowed
===========================================================================
Safety Protocol Notes
Ideal Conditions
Strong trending markets (≥3% daily moves)
High-volume crypto pairs (BTC/ETH majors preferred)
Avoid When
Consolidation phases (EMA crossovers lag)
Low-volume periods (weekends/holidays)
===========================================================================
Profitability Summary
This strategy capitalizes on:
Hourly chart momentum persistence
Crypto's tendency for multi-hour trends
Fixed parameters optimized through volatility cycles
Critical Reminder: Changing any values voids the hourly optimization advantage. Performance degrades significantly on lower (15m/5m) or higher (4h/daily) timeframes due to parameter mismatch
ROBOT RSI V6 inputRobot (test pas complet) qui prends position en se basant sur un croisement des MM et sur les achats et surventes du RSI
Combined Indicator with MACD, Stochastic, RSI, and EMA jdltsm75El indicador combina varias herramientas técnicas, como medias móviles (MA y EMA), el MACD, el RSI estocástico y señales visuales, para ayudar a los traders a identificar oportunidades de compra y venta en los mercados financieros. Aquí se detalla su uso:
Identificación de Tendencias:
Las medias móviles simples (MA) y exponenciales (EMA) ayudan a identificar la dirección general del mercado (alcista o bajista).
Los cruces de las MA y EMA (crossover o crossunder) generan señales visuales para posibles entradas o salidas.
Confirmación de Entradas y Salidas:
El MACD se utiliza para confirmar la fuerza de la tendencia y detectar posibles cambios en el impulso del mercado.
El RSI estocástico complementa esta confirmación mostrando niveles de sobrecompra y sobreventa.
Señales de Compra y Venta:
Una señal de compra ocurre cuando:
El EMA más rápido cruza hacia arriba el EMA más lento.
El MACD confirma con un cruce alcista.
El RSI estocástico está saliendo de niveles de sobreventa.
Una señal de venta ocurre cuando:
El EMA más rápido cruza hacia abajo el EMA más lento.
El MACD confirma con un cruce bajista.
El RSI estocástico está saliendo de niveles de sobrecompra.
Alertas en Tiempo Real:
El indicador incluye alertas configurables para notificar a los usuarios cuando se cumplen las condiciones de compra o venta.
Visualización Clara:
Las MA, EMA, y las líneas del MACD se trazan directamente sobre el gráfico.
Las señales de compra y venta se muestran con iconos visuales, haciendo que la interpretación sea rápida y sencilla.
Uso recomendado: Este indicador es ideal para traders que buscan confirmar sus entradas y salidas con múltiples herramientas técnicas, combinando señales para reducir falsos positivos. Se puede aplicar en mercados de acciones, criptomonedas, divisas, entre otros.
Breakout Trading with RSI and ATR Enhancements 2.0 MENATitle: Breakout Trading with RSI and ATR Enhancements
Description:
This script combines key technical analysis tools, including RSI, ATR, and moving averages, to provide breakout trading signals with enhanced precision. Designed for traders who want to capture market breakouts while filtering false signals, this script integrates the following components:
ATR-Based Breakout Levels:
The script calculates upper and lower breakout levels using the Average True Range (ATR). These levels are dynamically adjusted to reflect recent volatility, helping traders identify potential price breakout zones.
RSI Signals (Buy and Sell):
RSI Buy Signal: The script identifies oversold conditions (RSI < 30) in an uptrend, confirmed by price trading above the longer-term moving average (200-period SMA).
RSI Sell Signal: The script identifies overbought conditions (RSI > 70) in a downtrend, confirmed by price trading below the longer-term moving average.
These signals help traders detect potential reversals and avoid trading against the trend.
Moving Average Crossovers:
Short-term and long-term moving averages are included to detect momentum shifts. The crossover of a short-period MA (9) and a long-period MA (21) acts as an additional confirmation for entry and exit points.
Custom Alerts for Breakouts and RSI Signals:
Alerts are built into the script, enabling traders to receive real-time notifications for breakout levels or when RSI-based buy/sell conditions are met.
How It Works:
The script uses ATR to determine dynamic breakout zones based on the highest resistance and lowest support within a specified lookback period.
The RSI-based signals are filtered using the 200-period moving average, ensuring signals align with the dominant trend.
Moving average crossovers provide additional confirmation for trend reversals.
How to Use:
Breakout Trading: Monitor the breakout levels plotted on the chart (green for upper and red for lower levels). Enter a trade when the price crosses these levels and aligns with the trend.
RSI Signals: Look for RSI Buy/Sell labels on the chart to identify potential entry and exit points. These signals are filtered to avoid whipsaws in trending markets.
Alerts: Set custom alerts for breakout levels or RSI signals using the built-in alert conditions for seamless trading.
Why It’s Useful:
This script combines volatility-based breakout detection with trend-following RSI signals, providing a robust framework for breakout traders. By filtering signals based on moving averages and ATR levels, it minimizes noise and helps traders focus on high-probability setups.
Note:
This script is designed for educational purposes and should be used alongside proper risk management and additional analysis.
Anmol's pivot - rsi - trendlines indicatorUse this indicator to detect pivots with favourable RSI and tendlines.
Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
Two-Pole Oscillator [BigBeluga]
The Two-Pole Oscillator is an advanced smoothing oscillator designed to provide traders with precise market signals by leveraging deviation-based calculations combined with a unique two-pole filtering technique. It offers clear visual representation and actionable signals for smart trading decisions.
🔵Key Features:
Two-Pole Filtering: Smooths out the main oscillator signal to reduce noise, providing a cleaner and more reliable view of market momentum and trend strength.
// Two-pole smooth filter function
f_two_pole_filter(source, length) =>
var float smooth1 = na
var float smooth2 = na
alpha = 2.0 / (length + 1)
if na(smooth1)
smooth1 := source
else
smooth1 := (1 - alpha) * smooth1 + alpha * source
if na(smooth2)
smooth2 := smooth1
else
smooth2 := (1 - alpha) * smooth2 + alpha * smooth1
Deviation-Based Oscillator: Utilizes price deviations from the mean to generate dynamic signals, making it ideal for detecting overbought and oversold conditions.
float sma1 = ta.sma(close, 25)
float sma_n1 = ((close - sma1) - ta.sma(close - sma1, 25)) / ta.stdev(close - sma1, 25)
Signal Gradient Strength: Signals on the main oscillator line feature gradient coloring based on their proximity to the 0 level:
➔ Closer to 0: More transparent, indicating weaker signals.
➔ Closer to 1 or -1: Less transparent, highlighting stronger signals.
Level-Based Signal Validation: Parallel levels are plotted on the chart for each signal:
➔ If a level is crossed by price, the signal is invalidated, marked by an "X" at the invalidation point.
Trend Continuation
Invalidation Levels: Serve as potential stop-loss or trade-reversal zones, enabling traders to make more informed and disciplined trading decisions.
Dynamic Chart Plotting: Signals are plotted directly on the chart with corresponding levels, providing a comprehensive visual representation for easy interpretation.
🔵How It Works:
The oscillator calculates price deviation from a mean value and applies two-pole filtering to smooth the resulting signal.
Gradient-colored signals reflect their strength, with transparency indicating proximity to the 0 level on the oscillator scale.
Buy and sell signals are generated based on crossovers and crossunders of the oscillator line with a signal line.
If a level is crossed, the corresponding signal is marked with a "X" plotted on the chart at the crossover point.
🔵Use Cases:
Detecting overbought or oversold market conditions with a smoother, noise-free oscillator.
Using invalidation levels to set clear stop-loss or trade exit points.
Identifying strong momentum signals and filtering out weaker, less reliable ones.
Combining oscillator signals with price action for more precise trade entries and exits.
This indicator is perfect for traders seeking a refined approach to oscillator analysis, combining signal strength visualization with actionable invalidation levels to enhance trading precision and strategy.
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
9/21 EMA_DSWThe 9 and 21 EMA strategy involves using the 9-day and 21-day exponential moving averages to identify potential buy and sell signals. A buy signal is generated when the 9 EMA crosses above the 21 EMA, and a sell signal is generated when the 9 EMA crosses below the 21 EMA.
SlingShot with Multiple EMAs and RSIOriginal sling shot Code written by @TaPlot and edited by Ruchit for multiple ema and RSI and exit condition as per my need
Volatility Regime Indicator (VRI)This indicator allows you to weight 3 variables.
1. The term spread (3rd Month Vix Contract - VIX)
2.The Volatility Risk Premium (VIX - Historical Volatility) 10 day historical volatility by default
3.SPX Momentum (Short EMA vs Long EMA)
Play with the weightings and variable to suit your approach.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
EMA Tabanlı Al-Sat Sinyalleri//@version=5
indicator("EMA Tabanlı Al-Sat Sinyalleri", overlay=true)
// Kullanıcı ayarları
emaLength = input.int(50, minval=1, title="EMA Uzunluğu")
smaLength = input.int(14, minval=1, title="SMA Uzunluğu")
atrLength = input.int(14, minval=1, title="ATR Uzunluğu")
stochRsiLength = input.int(14, minval=1, title="Stoch RSI Uzunluğu")
adxLength = input.int(14, minval=1, title="ADX Uzunluğu")
adxSmoothing = input.int(14, minval=1, title="ADX Smoothing")
mfiLength = input.int(14, minval=1, title="MFI Uzunluğu")
// EMA Hesaplama
ema = ta.ema(close, emaLength)
// ATR Hesaplama
atr = ta.atr(atrLength)
// Stoch RSI Hesaplama
k = ta.sma(ta.stoch(close, high, low, stochRsiLength), 3)
d = ta.sma(k, 3)
// ADX Hesaplama
= ta.dmi(adxLength, adxSmoothing)
// Al-Sat Şartları
alSinyali = ta.crossover(close, ema) and k > d and adx > 25
satSinyali = ta.crossunder(close, ema) and k < d and adx > 25
// Grafik İşaretçileri
plot(ema, color=color.blue, title="EMA")
plotshape(alSinyali, style=shape.labelup, location=location.belowbar, color=color.green, title="Al Sinyali")
plotshape(satSinyali, style=shape.labeldown, location=location.abovebar, color=color.red, title="Sat Sinyali")
// Al-Sat Sinyallerini Göster
if (alSinyali)
label.new(bar_index, low, "AL", style=label.style_label_up, color=color.green, textcolor=color.white)
if (satSinyali)
label.new(bar_index, high, "SAT", style=label.style_label_down, color=color.red, textcolor=color.white)
// Al ve Sat Sinyallerini İşaretle
bgcolor(alSinyali ? color.new(color.green, 90) : na)
bgcolor(satSinyali ? color.new(color.red, 90) : na)
// Al ve Sat Bildirimleri
alertcondition(alSinyali, title="Al Sinyali", message="Al Sinyali Tetiklendi!")
alertcondition(satSinyali, title="Sat Sinyali", message="Sat Sinyali Tetiklendi!")
