Moving Average Convergence Divergence-PRO MENTORMoving Average Convergence Divergence (MACD) - Pro Mentor Trading Strategy
The MACD - Pro Mentor Trading Strategy is a versatile and effective approach to trading that leverages the Moving Average Convergence Divergence (MACD) indicator. This strategy focuses on identifying trends, momentum shifts, and potential reversals in the market. By combining the MACD line, Signal line, and histogram analysis, traders can execute informed entry and exit points with precision.
Core Components of MACD
MACD Line:
Calculated as the difference between the 100-period EMA (fast EMA) and the 200-period EMA (slow EMA).
Indicates the strength and direction of momentum.
Signal Line:
A 50-period EMA of the MACD line.
Used to identify crossovers, which signal potential buy or sell opportunities.
Histogram:
Represents the difference between the MACD line and the Signal line.
Visualizes the strength and direction of momentum.
Trading Rules
Buy Signal:
Occurs when the MACD line crosses above the Signal line.
Confirm the signal when the histogram moves from negative to positive territory.
For added reliability, align with broader market trends or price action support levels.
Sell Signal:
Occurs when the MACD line crosses below the Signal line.
Confirm the signal when the histogram moves from positive to negative territory.
Consider aligning with price resistance levels or broader bearish trends.
Exit Strategy:
Exit long positions when the MACD line crosses below the Signal line.
Exit short positions when the MACD line crosses above the Signal line.
Alternatively, use support and resistance levels or trailing stops to optimize exits.
Advanced Applications
Divergence:
Look for divergences between price action and the MACD histogram. For example:
Bullish Divergence: Price makes a lower low while the MACD histogram forms a higher low, indicating potential reversal upward.
Bearish Divergence: Price makes a higher high while the MACD histogram forms a lower high, signaling potential reversal downward.
Trend Confirmation:
Use the MACD in conjunction with longer-term moving averages to confirm trends before entering trades.
Multi-Timeframe Analysis:
Check MACD signals across multiple timeframes to improve the accuracy of entry and exit points.
Advantages
Momentum-Based: Captures shifts in market momentum effectively.
Versatile: Works across multiple asset classes and timeframes.
Clear Signals: Crossover signals are straightforward and easy to interpret.
Limitations
Lagging Indicator: As a trend-following tool, MACD may provide delayed signals during rapid price reversals.
False Signals: Can produce whipsaws in ranging or low-volatility markets.
Best Practices
Combine MACD with support/resistance analysis, candlestick patterns, or volume indicators to filter false signals.
Focus on higher timeframes for more reliable signals.
Use strict risk management practices, such as setting stop-loss levels and calculating position sizes based on account risk tolerance.
The MACD - Pro Mentor Trading Strategy is a robust tool for traders seeking to capitalize on momentum and trend shifts. With its straightforward design and adaptability, it serves as a cornerstone strategy for beginners and experienced traders alike.
指标和策略
SMK 1352 - Multi-Position Indicatorthis indicator is just for information and testing only.
it!s not recommended for real trading use.
any responsibility of usage is on user account.
this is just the beginning and may be updated in future.
BTC Scalp 003echnical Indicators:
EMAs: 50-period and 200-period Exponential Moving Averages to identify trend direction.
Bollinger Bands: 20-period SMA with standard deviation to gauge volatility.
RSI: 14-period Relative Strength Index to detect overbought or oversold conditions.
MACD: Moving Average Convergence Divergence for momentum assessment.
Volume: Current volume and its 20-period moving average to confirm trade signals.
Price Averages Indicatoraveraging price of previoud day close and current day open, with averging of day's high and low price
EMA Crossover with Engulfing - SK4 EMA Crossover which can be modified also identified Engulfing candle when appear.
Prepared by Sharif
Intraday Multi-Strategy Indicator (Simplified)This indicator will give automatic buy sell signals for intraday trading on lower timeframe
Nadaraya-Watson Price Cross AlertNadaraya-Watson Price Cross AlertNadaraya-Watson Price Cross AlertNadaraya-Watson Price Cross Alert
ATH DrawdownThis Pine Script indicator, titled "ATH Drawdown," is designed to help traders and analysts visualize various drawdown levels from the all-time high (ATH) of a security over the past 365 days. This indicator plots several key drawdown levels on the chart and dynamically updates their color and labels to reflect market conditions.
Key Features:
Daily High Calculation:
Fetches the daily high prices for the security using the request.security function.
Highest High Calculation:
Calculates the highest high over the last 365 days using daily data. This represents the all-time high (ATH) for the specified period.
Drawdown Levels:
Computes various drawdown levels from the ATH:
2% Drawdown
5% Drawdown
10% Drawdown
15% Drawdown
25% Drawdown
45% Drawdown
50% Drawdown
Dynamic Line Coloring:
The color of the 2% drawdown line changes dynamically based on the current closing price:
Red if the close is below the 2% drawdown level.
Green if the close is above the 2% drawdown level.
Plotting Drawdown Levels:
Plots each drawdown level on the chart with specific colors and line widths for easy visual distinction:
2% Drawdown: Green or Red, depending on the closing price.
5% Drawdown: Orange.
10% Drawdown: Blue.
15% Drawdown: Maroon.
25% Drawdown: Purple.
45% Drawdown: Yellow.
50% Drawdown: Black.
Labels for Drawdown Levels:
Adds labels at the end of each drawdown line to indicate the percentage drawdown:
Labels display "2%", "5%", "10%", "15%", "25%", "45%", and "50%" respectively.
The labels are positioned dynamically at the latest bar index to ensure they are always visible.
Example Use Cases:
Risk Management: Quickly identify significant drawdown levels to assess the risk of current positions.
Support Levels: Use drawdown levels as potential support levels where price might find buying interest.
Performance Tracking: Monitor how far the price has retraced from its all-time high to understand market sentiment and performance.
This script offers traders and analysts an efficient way to visualize and track important drawdown levels from the ATH, helping in better risk management and decision-making. The dynamic color and label features enhance the readability and usability of the indicator.
RSI - STOCH OverlayRSI & Stochastic RSI Overlay with Highlighted Bar
Cet indicateur combine l'analyse du RSI et du Stochastic RSI dans un seul panneau pratique, tout en ajoutant une ligne en bas du graphique pour signaler les zones critiques de surachat et de survente.
Caractéristiques principales :
Graphique RSI et Stochastic RSI :
RSI tracé avec des seuils de surachat (70) et de survente (30).
Stochastic RSI (%K et %D) tracé avec des seuils de surachat (80) et de survente (20).
Ligne de surachat/survente (stepline) :
Une ligne horizontale grise en bas du graphique indique les zones neutres.
La ligne devient rouge lorsque le RSI (>70) et le Stochastic RSI (>80) indiquent une zone de surachat.
La ligne devient verte lorsque le RSI (<30) et le Stochastic RSI (<20) signalent une zone de survente.
Style en "stepline" pour des transitions nettes.
Position ajustée :
La ligne est située sous le graphique principal, avec un espacement clair pour une lecture facile.
Utilité :
Identifiez rapidement les zones où les conditions de surachat ou de survente sont confirmées à la fois par le RSI et le Stochastic RSI.
Aidez à prendre des décisions éclairées pour des entrées et sorties potentielles sur le marché.
Personnalisation :
Longueurs ajustables pour le RSI, le Stochastic RSI, et les paramètres de lissage.
La distance entre la ligne et le graphique peut être ajustée pour plus de lisibilité.
Comment utiliser :
Ajoutez cet indicateur à votre graphique TradingView.
Utilisez-le pour surveiller les zones critiques de surachat/survente.
Combinez-le avec d'autres outils d'analyse technique pour une stratégie de trading complète.
Nadaraya-Watson Price High Cross AlertNadaraya-Watson Price High Cross Alert Nadaraya-Watson Price High Cross Alert Nadaraya-Watson Price High Cross Alert
EMA (10/20/50/200) with table and zone by Mr. Debabrata Saha1. This indicator consists of 10/ 20/ 50/ 200 EMA.
2. It has also multi timeframe information.
3. It has a table which indicates in multi timeframe where the price is (above or below).
4. It has also EMA based bearish and bullish zone information in multi timeframe
MULTI TF SCANNERMulti-Timeframe Moving Average Scanner Script
This script is designed to scan multiple timeframes for specific moving average (MA) crossovers to help traders identify potential buy or sell signals. The moving averages, such as the Simple Moving Average (SMA) or Exponential Moving Average (EMA), are calculated for different timeframes, allowing the script to provide a comprehensive analysis of the market trend.
Features:
Multiple Timeframe Analysis:
The script scans across various timeframes, including 5 minutes, 15 minutes, 1 hour, 4 hours, 1 day, and 1 week.
The moving averages are calculated for each of these timeframes, enabling the trader to gauge trends across short, medium, and long-term periods.
MA Crossover Detection:
The script checks for crossovers between a fast-moving average (e.g., 9-period) and a slow-moving average (e.g., 50-period).
A bullish crossover (fast MA crossing above slow MA) signals a potential buy, while a bearish crossover (fast MA crossing below slow MA) signals a potential sell.
Recursive Timeframe Check:
Before generating a buy or sell signal, the script checks for confirmations from higher timeframes.
Signals are only generated when the crossovers align across multiple timeframes (e.g., a buy signal on the 5-minute chart is confirmed by a bullish crossover on the 1-hour and 4-hour charts).
Signal Quality Indicator:
The script assigns a quality score to each signal based on how many higher timeframes confirm the crossover.
A stronger confirmation across multiple timeframes increases the quality of the signal, which can be visualized on the chart.
Optimized for Performance:
The calculations for moving average crossovers are designed to minimize unnecessary recalculations, optimizing the script’s performance and reducing lag.
The multi-timeframe checks are done only when the moving average crossover occurs or changes, ensuring efficiency.
User-Friendly Interface:
The results are displayed on the chart with clear visual cues to indicate the buy/sell signals and signal strength.
The script is minimalistic, with an uncluttered interface, providing the user with only the most relevant information for making trading decisions.
ORB with Percentage LineIndicator Name: ORB (Opening Range Breakout) with Percentage Line
Author: ∞xLiquidated
Description:
This indicator is designed to help traders identify and track the Opening Range Breakout (ORB) within a specified time period. It plots the high (ORB High) and low (ORB Low) of the opening range based on the highest and lowest prices during the chosen session. Additionally, it features a customizable percentage-based line between the high and low, offering enhanced flexibility for price analysis.
Features:
Opening Range Boundaries:
Automatically plots the ORB High and ORB Low on the chart during the selected session time (e.g., 09:15–09:20).
Percentage-Based Line:
Displays a line at a user-defined percentage level between ORB High and ORB Low (e.g., 50% for the midpoint).
Customizable Session Time:
Users can easily configure the time window for calculating the opening range using the session input.
Real-Time Updates:
The indicator updates dynamically as new highs or lows occur during the session.
Use Case:
This indicator is perfect for traders who rely on breakout strategies, especially during the opening session of the market. The percentage line can serve as an additional reference point for identifying potential support and resistance zones within the opening range.
Inputs:
ORB Total Time (minutes): Sets the time period for defining the opening range.
Session Time: Specifies the session during which the opening range is calculated (e.g., 09:15–09:20).
Percentage Between High and Low: Determines the position of the percentage line (e.g., 50% for the midpoint).
EMA Color ChangeEste indicador hará lo siguiente:
Calcula la EMA de 12 períodos.
Cambia el color de la EMA a verde si el precio cierra por encima de ella.
Cambia el color de la EMA a rojo si el precio cierra por debajo de ella.
My script1. Setup:
Bollinger Bands: Period = 20, Standard Deviation = 2 (default settings).
Timeframe: 15-minute, 30-minute, or 1-hour charts — aap yeh strategy intraday trading ke liye use kar sakte hain.
2. Identify the Squeeze (Consolidation Phase):
Look for periods when the Bollinger Bands squeeze together, indicating low volatility and a potential breakout in price.
The squeeze happens when the upper band comes very close to the lower band. This suggests that the price is consolidating and could soon make a sharp move.
3. Trigger the Breakout or Breakdown:
Bullish Breakout: Price breaks above the upper Bollinger Band.
Bearish Breakdown: Price breaks below the lower Bollinger Band.
Volume is an important confirmation. If the price breaks out with high volume, this signals a more reliable move.
4. Entry Point:
Bullish Entry: Enter a long position when the price breaks above the upper Bollinger Band with high volume.
Bearish Entry: Enter a short position when the price breaks below the lower Bollinger Band with high volume.
5. Target for Daily 2% to 5% Returns:
Set a daily return target of 2% to 5% based on your capital and the instrument you are trading (stocks, options, etc.).
For example, agar aap ek stock par kaam kar rahe hain, to aapko price move ko closely monitor karna hoga. Agar stock price breakout ke baad 2% se 5% ke beech move karta hai, toh aap apne profit target ko set kar sakte hain.
6. Stop-Loss:
Stop-Loss ko aap breakout ke opposite side ke paas set kar sakte hain. Example:
Agar aap long trade kar rahe hain (bullish breakout), toh aapka stop-loss lower Bollinger Band ke neeche set ho sakta hai.
Agar aap short trade kar rahe hain (bearish breakdown), toh aapka stop-loss upper Bollinger Band ke upar set ho sakta hai.
Stop-loss ko 1% to 2% risk ke andar rakhein (depending on your risk tolerance).
7. Trade Management (Exit Strategy):
Exit Point:
When your target is reached (2% to 5% profit), exit the trade.
If the price starts to reverse and moves against you, exit the trade early to protect your gains or cut losses.
Trailing Stop-Loss: As the price moves in your favor, you can use a trailing stop-loss to lock in profits. For example, if you are in a long position and the price moves up, you can raise your stop-loss to the entry point or above the previous swing high.
8. Risk Management:
Risk per trade should be limited to 1% to 2% of your capital. For example, if your account balance is $10,000, your stop-loss should be set to lose only $100 to $200 per trade. This prevents big losses in case the trade goes against you.
Use proper position sizing based on your risk tolerance and stop-loss distance.
Example of the Strategy:
Scenario 1: Bullish Breakout
Stock A is in a tight range for several hours, and the Bollinger Bands have squeezed significantly.
Price breaks above the upper Bollinger Band, indicating a bullish breakout.
Entry: You enter a long position when the price breaks the upper band.
Target: Set a target of 3% profit from the breakout point (based on your risk tolerance and stock's volatility).
Stop-Loss: Set the stop-loss just below the lower Bollinger Band or a recent swing low, ensuring that your loss is limited to 1% to 2% of your capital.
Exit: If the price hits your target of 3% profit, exit the position. If the price reverses, exit earlier to avoid larger losses.
Scenario 2: Bearish Breakdown
Stock B shows a squeeze, and the price breaks below the lower Bollinger Band, signaling a potential bearish trend.
Entry: You enter a short position when the price breaks the lower band.
Target: Set a target of 2% to 5% profit based on the average daily range of the stock.
Stop-Loss: Place the stop-loss just above the upper Bollinger Band or a recent swing high.
Exit: Exit the trade when the price moves 2% to 5% in your favor or if there is a reversal.
Key Points:
Volatility is key to achieving 2% to 5% returns. Higher volatility leads to bigger price moves, so make sure you are choosing assets that exhibit sufficient movement.
Risk Management: Ensure that your risk per trade is controlled and stop-losses are tight.
Consistency: This strategy requires patience. Not every squeeze will lead to a profitable breakout, and fakeouts (false breakouts) can happen.
Market Conditions: The strategy works best in trending markets or when volatility increases. Avoid using it during low volatility or sideways market conditions.
Conclusion:
To target 2% to 5% daily returns with the Bollinger Band Squeeze strategy, it's crucial to choose assets with sufficient volatility, use risk management techniques, and strictly adhere to your stop-losses. With discipline and proper execution, this strategy can generate solid returns in intraday or short-term trades. However, always backtest and paper trade this strategy before applying real money.
EUR/USD Morning Strategy with Trade History//@version=5
indicator("EUR/USD Morning Strategy with Trade History", overlay=true)
// Inputs for customization
ema_fast = input.int(8, title="Fast EMA")
ema_slow = input.int(21, title="Slow EMA")
rsi_period = input.int(14, title="RSI Period")
rsi_overbought = input.int(70, title="RSI Overbought Level")
rsi_oversold = input.int(30, title="RSI Oversold Level")
atr_period = input.int(14, title="ATR Period")
take_profit_multiplier = input.float(1.5, title="Take Profit Multiplier (ATR)")
stop_loss_multiplier = input.float(1.0, title="Stop Loss Multiplier (ATR)")
time_filter_start = input.time(timestamp("0000-01-01 08:00 +0000"), title="Trading Start Time")
time_filter_end = input.time(timestamp("0000-01-01 16:00 +0000"), title="Trading End Time")
// Calculate EMAs
fastEMA = ta.ema(close, ema_fast)
slowEMA = ta.ema(close, ema_slow)
// Calculate RSI
rsi = ta.rsi(close, rsi_period)
// Calculate ATR
atr = ta.atr(atr_period)
// Time filter
in_session = (time >= time_filter_start) and (time <= time_filter_end)
// Entry Conditions
buy_signal = ta.crossover(fastEMA, slowEMA) and rsi > 50 and in_session
sell_signal = ta.crossunder(fastEMA, slowEMA) and rsi < 50 and in_session
// Exit conditions (calculated but not triggered in this script)
long_take_profit = close + (atr * take_profit_multiplier)
long_stop_loss = close - (atr * stop_loss_multiplier)
short_take_profit = close - (atr * take_profit_multiplier)
short_stop_loss = close + (atr * stop_loss_multiplier)
// Arrays to track historical trades
var float long_trade_entries = array.new_float(0)
var float short_trade_entries = array.new_float(0)
if (buy_signal)
array.push(long_trade_entries, close)
if (sell_signal)
array.push(short_trade_entries, close)
// Plot EMAs
plot(fastEMA, color=color.green, title="Fast EMA (8)")
plot(slowEMA, color=color.red, title="Slow EMA (21)")
// Plot Buy and Sell Markers
plotshape(series=buy_signal, location=location.belowbar, color=color.new(color.green, 0), style=shape.labelup, title="Buy Signal")
plotshape(series=sell_signal, location=location.abovebar, color=color.new(color.red, 0), style=shape.labeldown, title="Sell Signal")
// Plot Take Profit and Stop Loss Levels for Visuals
plotshape(series=buy_signal, location=location.abovebar, offset=-1, color=color.new(color.blue, 0), style=shape.triangleup, title="Take Profit (Buy)")
plotshape(series=buy_signal, location=location.belowbar, offset=-1, color=color.new(color.orange, 0), style=shape.triangledown, title="Stop Loss (Buy)")
plotshape(series=sell_signal, location=location.belowbar, offset=-1, color=color.new(color.blue, 0), style=shape.triangledown, title="Take Profit (Sell)")
plotshape(series=sell_signal, location=location.abovebar, offset=-1, color=color.new(color.orange, 0), style=shape.triangleup, title="Stop Loss (Sell)")
// Highlight Session for Better Visualization
bgcolor(in_session ? color.new(color.green, 90) : na, title="Session Background")
Tillson T3 Moving Average - Screener mehmet şahin beyler//@version=4
//Developed by Tim Tillson
//author: KIVANÇ @fr3762 on twitter
study("Tillson T3", overlay=true)
T3FiboLine = input(false, title="Show T3 Fibonacci Ratio Line?")
length1 = input(8, "T3 Length")
a1 = input(0.7, "Volume Factor")
e1 = ema((high + low + 2 * close) / 4, length1)
e2 = ema(e1, length1)
e3 = ema(e2, length1)
e4 = ema(e3, length1)
e5 = ema(e4, length1)
e6 = ema(e5, length1)
c1 = -a1 * a1 * a1
c2 = 3 * a1 * a1 + 3 * a1 * a1 * a1
c3 = -6 * a1 * a1 - 3 * a1 - 3 * a1 * a1 * a1
c4 = 1 + 3 * a1 + a1 * a1 * a1 + 3 * a1 * a1
T3 = c1 * e6 + c2 * e5 + c3 * e4 + c4 * e3
col1 = T3 > T3
col3 = T3 < T3
color_1 = col1 ? color.green : col3 ? color.red : color.yellow
plot(T3, color=color_1, linewidth=3, title="T3")
length12 = input(5, "T3 Length fibo")
a12 = input(0.618, "Volume Factor fibo")
e12 = ema((high + low + 2 * close) / 4, length12)
e22 = ema(e12, length12)
e32 = ema(e22, length12)
e42 = ema(e32, length12)
e52 = ema(e42, length12)
e62 = ema(e52, length12)
c12 = -a12 * a12 * a12
c22 = 3 * a12 * a12 + 3 * a12 * a12 * a12
c32 = -6 * a12 * a12 - 3 * a12 - 3 * a12 * a12 * a12
c42 = 1 + 3 * a12 + a12 * a12 * a12 + 3 * a12 * a12
T32 = c12 * e62 + c22 * e52 + c32 * e42 + c42 * e32
col12 = T32 > T32
col32 = T32 < T32
color2 = col12 ? color.blue : col32 ? color.purple : color.yellow
plot(T3FiboLine and T32 ? T32 : na, color=color2, linewidth=2, title="T3fibo")
alertcondition(crossover(T3, T3 ), title="T3 BUY", message="T3 BUY!")
alertcondition(crossunder(T3, T3 ), title="T3 SELL", message="T3 SELL!")
alertcondition(cross(T3, T3 ), title="Color ALARM", message="T3 has changed color!")
Composer Strategy 1 (Haggis Levered)This strategy dynamically selects an asset to trade each day based on a set of predefined market conditions and technical indicators. It uses relative strength index (RSI) and moving averages to evaluate momentum and trends across multiple tickers, aiming to identify the most advantageous asset for the current market environment. By switching between leveraged ETFs, inverse funds, and defensive assets, the strategy seeks to capitalize on both bullish and bearish scenarios while mitigating risk during uncertain periods.
The approach emphasizes adaptability by monitoring key metrics like overbought or oversold signals and comparing cumulative returns and relative performance across asset classes. This flexibility allows the strategy to respond to changing market dynamics daily, aligning with short-term trends while maintaining a systematic and disciplined methodology for asset allocation.
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Multi Moving AveragesGives option to plot 6 moving averages, could change the type of the moving averages and change their source type as well.
TOOL FOR SCANNING MA RETESTS AFTER GC-DCMerhaba,
Pine Screener da GoldenCross ve Death Cross sonrası Fiyatın
HO lara retest durumunu tarama amaçlı emrah_gulay arkadaşımızın
''eg_ema5_ema10_sma50_sama100_sma200'' isimli komut dosyasının
basitçe revize edilmiş halidir. Kendisine de teşekkürlerimizi iletiriz.
Faydanıza olsun inşallah...
EMA 20 Crossover Strategy L/SErklärung: EMA Crossover Strategie (Long und Short)
Dieses Pine Script basiert auf einer EMA-Crossover-Strategie, die sowohl Long- als auch Short-Trades ausführt. Der Hauptindikator ist der Exponential Moving Average (EMA) mit einer Länge von 50, der als Signalgeber für Trendwechsel dient:
Long-Positionen werden eröffnet, wenn der Kurs die EMA von unten nach oben durchkreuzt, was auf einen Aufwärtstrend hinweist.
Short-Positionen werden eingegangen, wenn der Kurs die EMA von oben nach unten durchkreuzt, was auf einen Abwärtstrend hinweist.
Vorteile der Strategie:
Einfachheit: Die Strategie ist leicht verständlich und basiert auf einem bewährten Trendfolgeindikator.
Flexibilität: Funktioniert auf verschiedenen Zeitrahmen, erzielt jedoch die besten Ergebnisse auf dem Tageschart.
Risikomanagement: Kann mit definierten Parametern für Startkapital und Hebel angepasst werden.
Hinweise:
Die Strategie eignet sich am besten für trendstarke Märkte.
Seitwärtsmärkte können zu Fehlsignalen führen, was berücksichtigt werden sollte.
Historische Tests zeigen eine solide Performance auf dem Tageschart, mit einem Profitfaktor von über 2 und einem Nettogewinn von 58.113 USDT (bei einem Hebel von 2).
Dieses Skript ist ideal für Trader, die Trends erkennen und konsequent handeln möchten, sowohl in Long- als auch in Short-Richtungen.
EMA RainbowYou can draw up to 7 EMA (Exponential Moving Average) lines on your chart. Each EMA line can be set with a specific length to represent different timeframes, such as short-term, medium-term, or long-term trends. These EMA lines are designed to help you visually analyze market movements more effectively.
The script is simple and flexible, allowing you to add more EMA lines if needed. You only need to follow the same pattern and change the length parameter to customize additional EMA lines.
- Tatist
