MA Trend DashboardMA Trend Dashboard - Features
The MA Trend Dashboard is a versatile and user-friendly indicator designed to provide a comprehensive overview of market trends across multiple timeframes using moving averages (MAs). Here's what this script offers:
1. Dashboard Display
A compact and visually appealing dashboard is overlaid on the chart.
The dashboard displays the trend direction and deviation percentages for 30-minute, 1-hour, and 4-hour timeframes.
Users can position the dashboard in different locations (Top Right, Middle Right, or Bottom Right) and customize the text size (Tiny, Small, Normal).
2. Multi-Timeframe Trend Analysis
The script uses the concept of Multi-Timeframe (MTF) analysis to assess trends across:
30-minute (30m)
1-hour (1h)
4-hour (4h)
Each timeframe's trend is evaluated using the selected moving average method.
3. Customizable Moving Average Methods
Users can choose from various moving average calculation methods:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
SMMA (Smoothed Moving Average or RMA)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
This flexibility allows for tailored trend analysis based on the user's preferred methodology.
4. Visual Trend Indicators
Clear visual cues indicate the trend direction for each timeframe:
↑ (Up): Bullish trend.
↓ (Down): Bearish trend.
↘ (Weak Up): Mild bullishness.
↗ (Weak Down): Mild bearishness.
The background color of each cell dynamically changes based on the trend:
Green: Uptrend.
Red: Downtrend.
5. Deviation Percentage
The dashboard includes the percentage difference between the current price and the moving average for each timeframe.
Positive percentages are highlighted in green, and negative percentages in red.
6. Customization Options
Text Color: Allows users to adjust the color of the text displayed in the dashboard.
MA Length: Users can set the period for the moving averages (default is 50).
7. Dynamic Requests
Utilizes TradingView's dynamic_requests feature to ensure accurate real-time data across different timeframes without cluttering the chart.
Usage
This indicator is ideal for traders who want a quick and reliable snapshot of market trends across multiple timeframes. It is particularly suited for intraday and swing trading strategies, offering insights into price momentum and potential reversals.
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EMA Crossover Strategy with Take Profit and Candle HighlightingStrategy Overview:
This strategy is based on the Exponential Moving Averages (EMA), specifically the EMA 20 and EMA 50. It takes advantage of EMA crossovers to identify potential trend reversals and uses multiple take-profit levels and a stop-loss for risk management.
Key Components:
EMA Crossover Signals:
Buy Signal (Uptrend): A buy signal is generated when the EMA 20 crosses above the EMA 50, signaling the start of a potential uptrend.
Sell Signal (Downtrend): A sell signal is generated when the EMA 20 crosses below the EMA 50, signaling the start of a potential downtrend.
Take Profit Levels:
Once a buy or sell signal is triggered, the strategy calculates multiple take-profit levels based on the range of the previous candle. The user can define multipliers for each take-profit level.
Take Profit 1 (TP1): 50% of the previous candle's range above or below the entry price.
Take Profit 2 (TP2): 100% of the previous candle's range above or below the entry price.
Take Profit 3 (TP3): 150% of the previous candle's range above or below the entry price.
Take Profit 4 (TP4): 200% of the previous candle's range above or below the entry price.
These levels are adjusted dynamically based on the previous candle's high and low, so they adapt to changing market conditions.
Stop Loss:
A stop-loss is set to manage risk. The default stop-loss is 3% from the entry price, but this can be adjusted in the settings. The stop-loss is triggered if the price moves against the position by this amount.
Trend Direction Highlighting:
The strategy highlights the bars (candles) with colors:
Green bars indicate an uptrend (when EMA 20 crosses above EMA 50).
Red bars indicate a downtrend (when EMA 20 crosses below EMA 50).
These visual cues help users easily identify the market direction.
Strategy Entries and Exits:
Entries: The strategy enters a long (buy) position when the EMA 20 crosses above the EMA 50 and a short (sell) position when the EMA 20 crosses below the EMA 50.
Exits: The strategy exits the positions at any of the defined take-profit levels or the stop-loss. Multiple exit levels provide opportunities to take profit progressively as the price moves in the favorable direction.
Entry and Exit Conditions in Detail:
Buy Entry Condition (Uptrend):
A buy position is opened when EMA 20 crosses above EMA 50, signaling the start of an uptrend.
The strategy calculates take-profit levels above the entry price based on the previous bar's range (high-low) and the multipliers for TP1, TP2, TP3, and TP4.
Sell Entry Condition (Downtrend):
A sell position is opened when EMA 20 crosses below EMA 50, signaling the start of a downtrend.
The strategy calculates take-profit levels below the entry price, similarly based on the previous bar's range.
Exit Conditions:
Take Profit: The strategy attempts to exit the position at one of the take-profit levels (TP1, TP2, TP3, or TP4). If the price reaches any of these levels, the position is closed.
Stop Loss: The strategy also has a stop-loss set at a default value (3% below the entry for long trades, and 3% above for short trades). The stop-loss helps to protect the position from significant losses.
Backtesting and Performance Metrics:
The strategy can be backtested using TradingView's Strategy Tester. The results will show how the strategy would have performed historically, including key metrics like:
Net Profit
Max Drawdown
Win Rate
Profit Factor
Average Trade Duration
These performance metrics can help users assess the strategy's effectiveness over historical periods and optimize the input parameters (e.g., multipliers, stop-loss level).
Customization:
The strategy allows for the adjustment of several key input values via the settings panel:
Take Profit Multipliers: Users can customize the multipliers for each take-profit level (TP1, TP2, TP3, TP4).
Stop Loss Percentage: The user can also adjust the stop-loss percentage to a custom value.
EMA Periods: The default periods for the EMA 50 and EMA 20 are fixed, but they can be adjusted for different market conditions.
Pros of the Strategy:
EMA Crossover Strategy: A classic and well-known strategy used by traders to identify the start of new trends.
Multiple Take Profit Levels: By taking profits progressively at different levels, the strategy locks in gains as the price moves in favor of the position.
Clear Trend Identification: The use of green and red bars makes it visually easier to follow the market's direction.
Risk Management: The stop-loss and take-profit features help to manage risk and optimize profit-taking.
Cons of the Strategy:
Lagging Indicators: The strategy relies on EMAs, which are lagging indicators. This means that the strategy might enter trades after the trend has already started, leading to missed opportunities or less-than-ideal entry prices.
No Confirmation Indicators: The strategy purely depends on the crossover of two EMAs and does not use other confirming indicators (e.g., RSI, MACD), which might lead to false signals in volatile markets.
How to Use in Real-Time Trading:
Use for Backtesting: Initially, use this strategy in backtest mode to understand how it would have performed historically with your preferred settings.
Paper Trading: Once comfortable, you can use paper trading to test the strategy in real-time market conditions without risking real money.
Live Trading: After testing and optimizing the strategy, you can consider using it for live trading with proper risk management in place (e.g., starting with a small position size and adjusting parameters as needed).
Summary:
This strategy is designed to identify trend reversals using EMA crossovers, with customizable take-profit levels and a stop-loss to manage risk. It's well-suited for traders looking for a systematic way to enter and exit trades based on clear market signals, while also providing flexibility to adjust for different risk profiles and trading styles.
Dynamic Display for Max/Min MA Types with Fake-Out FilterDynamic Moving Average Max/Min Indicator with Step Line Break
**** select the setting to STEP LINE BREAK****
This indicator provides a powerful way to identify dynamic entry and stop-loss levels for both long and short trades. It calculates the maximum and minimum values of a selected moving average (MA) over a specified lookback period, adapting dynamically to market conditions. It features options for various MA types, including SMA, EMA, HMA, RMA, and DEMA, to suit different trading strategies and styles.
How It Works
1. Moving Average Selection: Choose the type of moving average (SMA, EMA, HMA, RMA, or DEMA) and its period (e.g., HMA 13).
2. Max/Min Calculation: The indicator calculates the highest and lowest values of the selected moving average over a specified lookback period (e.g., 5 candles).
3. Dynamic Plotting:
• Bullish Market: When the price breaks the Max MA level, the Min level is plotted, trailing upward as a potential stop-loss for long trades.
• Bearish Market: When the price breaks the Min MA level, the Max level is plotted, trailing downward as a potential stop-loss for short trades.
4. Fake-Out Filter: If a candle breaks the Max/Min level but closes within the range (indicating a fake-out), the plots do not switch. This can cause repainting during volatile conditions, so use caution in high-wick markets.
Features
• Customizable Inputs: Adjust MA type, period, lookback, and timeframe to suit your trading strategy.
• Multi-Timeframe Flexibility: Works on all timeframes, from micro-scalping on the 1-minute chart to swing trading on higher timeframes.
• Trend Confirmation: Provides clear indications of when to enter or exit based on dynamic levels.
• Risk Management: Highlights stop-loss levels that trail the trend, helping to lock in profits or limit losses.
Advantages
1. Clear Entry/Exit Points: Provides actionable signals for both long and short trades, with defined stop-loss locations.
2. Customizable for Any Style: Tailor the indicator to your product, timeframe, and trading approach (scalping or swing trading).
3. Trend-Focused Guidance: Helps avoid counter-trend trades by showing the dominant trend direction.
4. Adaptive to Market Conditions: The dynamic nature of the indicator allows it to respond to both trending and consolidating markets.
Limitations
1. Repainting During Fake-Outs: The indicator can repaint during volatile periods with long wicks, as it filters for fake-out candles. This may create noise in certain market conditions.
2. Optimization Required: The ideal settings for MA type, period, and lookback are dependent on the market profile and need to be fine-tuned by the trader.
3. Less Effective in Consolidation: In sideways or choppy markets, the indicator may produce less reliable signals unless adjusted for lower sensitivity.
Trading Tips
• Use this indicator to focus on trending markets, avoiding trades against the prevailing trend. For example, during an uptrend, only take long trades and avoid shorts.
• Consider having two configurations: one for trending markets and one for consolidating markets, switching between them as needed.
• Pair this indicator with volume analysis, price action, or other complementary tools to increase accuracy and reduce noise.
This indicator is designed to be both an entry and risk management tool, enabling traders to make informed decisions while keeping risks in check.
ANIL's OHCL, VWAP and EMA CrossPrevious Week High and Low:
This part calculates the previous week's high and low values and plots them as continuous blue lines. The plot.style_line ensures the lines are drawn continuously.
Previous Day Open, High, Low, Close:
The script uses request.security to get the previous day's open, high, low, and close values. These are plotted as continuous lines in different colors:
Open: Green
High: Red
Low: Orange
Close: Purple
VWAP (Volume Weighted Average Price):
The VWAP is calculated using ta.vwap(close) and plotted with a thick black line.
Exponential Moving Averages (EMAs):
The script calculates two EMAs: one with a 9-period (fast) and one with a 21-period (slow).
The EMAs are plotted as continuous lines:
Fast EMA: Blue
Slow EMA: Red
EMA Cross:
The script checks for EMA crossovers and crossunders:
A crossover (fast EMA crossing above slow EMA) triggers a buy signal (green label below the bar).
A crossunder (fast EMA crossing below slow EMA) triggers a sell signal (red label above the bar).
Customization:
You can adjust the fastLength and slowLength variables to change the period of the EMAs.
You can modify the line colors and line thickness to match your preferred style.
The buy and sell signals can be customized further with different shapes or additional conditions for signal generation.
This script provides a comprehensive and visually distinct indicator with the previous week's and day's levels, VWAP, and EMA crossover signals.
EMA SHIFT & PARALLEL [n_dot]BINANCE:ETHUSDT.P
This strategy was developed for CRYPTO FUTURES, (the settings for ETHUSDT.P) . I aimed for the strategy to function in a live environment, so I focused on making its operation realistic:
When determining the position, only 80% (adjustable) of the available cash is invested to reduce the risk of position liquidation.
I account for a 0.05% commission, typical on the futures market, for each entry and exit.
Concept:
I modified a simple, well-known method: the crossover of two exponential moving averages (FAST, SLOW) generates the entry and exit signals.
I enhanced the base idea as follows:
For the fast EMA, I incorporated a multiplier (offset) to filter out market noise and focus only on strong signals.
I use different EMAs for long and short entry points; both have their own FAST and SLOW EMAs and their own offset. For longs, the FAST EMA is adjusted downward (<1), while for shorts, it is adjusted upward (>1). Consequently, the signal is generated when the modified FAST EMA crosses the SLOW EMA.
Risk Management:
The position includes the following components:
Separate stop-losses for long and short positions.
Separate trailers for long and short positions.
The strategy operates so that the entry point is determined by the EMA crossover, while the exit is governed only by the Stop Loss or Trailer. Optionally, it can be set to close the position at the EMA recrossing ("Close at Signal").
Trailer Operation:
An entry percentage and offset are defined. The trailer activates when the price surpasses the entry price, calculated automatically by the system.
The trailer closes the position when the price drops by the offset percentage from the highest reached price.
Example for trailer:
Purchase Price = 100
Trailer Enter = 5% → Activation Price = 105 (triggers trailer if market price crosses it).
Trailer Offset = 2%
If the price rises to 110, the exit price becomes 107.8.
If the price goes to 120, the exit price becomes 117.6.
If the price falls below 117.6, the trailer closes the position.
Settings:
Source: Determines the market price reference.
End Close: Closes positions at the end of the simulation to avoid "shadow positions" and provide an objective result.
Lot proportional to free cash (%): Only a portion of free cash is invested to meet margin requirements.
Plot Short, Plot Long: Simplifies displayed information by toggling indicator lines on/off.
Long Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast down shift: Adjustment factor for FAST EMA.
Stop Loss long (%): Percent drop to close the position.
Trailer enter (%): Percent above the purchase price to activate the trailer.
Trailer offset (%): Percent drop to close the position.
Short Position (toggleable):
EMA Fast ws: Window size for FAST EMA.
EMA Slow ws: Window size for SLOW EMA.
EMA Fast up shift: Adjustment factor for FAST EMA.
Stop Loss short (%): Percent rise to close the position.
Trailer enter (%): Percent below the purchase price to activate the trailer.
Trailer offset (%): Percent rise to close the position.
Operational Framework:
If in a long position and a short EMA crossover occurs, the strategy closes the long and opens a short (flip).
If in a short position and a long EMA crossover occurs, the strategy closes the short and opens a long (flip).
A position can close in three ways:
Stop Loss
Trailer
Signal Recrossing
If none are active, the position remains open until the end of the simulation.
Observations:
Shifts significantly deviating from 1 increase overfitting risk. Recommended ranges: 0.96–0.99 (long) and 1.01–1.05 (short).
The strategy's advantage lies in risk management, crucial in leveraged futures markets. It operates with relatively low DrawDown.
Recommendations:
Bullish Market: Higher entry threshold (e.g., 6%) and larger offset (e.g., 3%).
Volatile/Sideways Market: Tighter parameters (e.g., 3%, 1%).
The method is stable, and minor parameter adjustments do not significantly impact results, helping assess overfitting: if small changes lead to drastic differences, the strategy is over-optimized.
EMA Settings: Adjust FAST and SLOW EMAs based on the asset's volatility and cyclicality.
On the crypto market, especially in the Futures market, short time periods (1–15 minutes) often show significant noise, making patterns/repetitions hard to identify. I recommend setting the interval to at least 1 hour.
I hope this contributes to your success!
GocchiMulti-Indicator: RSI & Moving Averages
This versatile TradingView indicator combines two essential tools for technical analysis—Relative Strength Index (RSI) and Moving Averages (MAs)—into one comprehensive solution. It is designed for traders seeking flexibility, customization, and efficiency in their charting experience.
Features:
Relative Strength Index (RSI):
Customizable RSI length.
Adjustable overbought and oversold levels.
Selectable source input (e.g., close, open, high, low).
Visual levels for overbought and oversold zones, aiding in quick trend and momentum identification.
Three Moving Averages:
Three independently customizable moving averages.
Options for Simple Moving Average (SMA) or Exponential Moving Average (EMA) for each line.
Adjustable lengths for short-, medium-, and long-term trend tracking.
Visual Enhancements:
Clear, color-coded plots for RSI and each moving average.
Overbought and oversold zones are highlighted with horizontal dotted lines.
Alerts:
Get notified when RSI crosses above the overbought level or below the oversold level.
Alerts help traders stay on top of potential market reversals or breakout opportunities.
Use Cases:
RSI Analysis: Spot overbought or oversold conditions to identify potential reversals.
Trend Following: Use moving averages to confirm trends or identify crossovers for potential entry and exit points.
Custom Strategies: Tailor the settings to fit specific trading styles, such as scalping, swing trading, or long-term investing.
This all-in-one indicator streamlines your analysis by reducing the need for multiple overlays, making your charts cleaner and more actionable. Whether you're a novice or an experienced trader, this tool provides the flexibility and insights you need to succeed in any market condition.
Multi-Indicator: RSI & Moving AveragesMulti-Indicator: RSI & Moving Averages
Multi-Indicator: RSI & Moving Averages
Multi-Indicator: RSI & Moving Averages
BBSS+This Pine Script implements a custom indicator overlaying Bollinger Bands with additional features for trend analysis using Exponential Moving Averages (EMAs). Here's a breakdown of its functionality:
Bollinger Bands:
The script calculates the Bollinger Bands using a 20-period Simple Moving Average (SMA) as the basis and a multiplier of 2 for the standard deviation.
It plots the Upper Band and Lower Band in red.
EMA Calculations:
Three EMAs are calculated for the close price with periods of 5, 10, and 40.
The EMAs are plotted in green (5-period), cyan (10-period), and orange (40-period) to distinguish between them.
Trend Detection:
The script determines bullish or bearish EMA alignments:
Bullish Order: EMA 5 > EMA 10 > EMA 40.
Bearish Order: EMA 5 < EMA 10 < EMA 40.
Entry Signals:
Long Entry: Triggered when:
The close price crosses above the Upper Bollinger Band.
The Upper Band is above its 5-period SMA (indicating momentum).
The EMAs are in a bullish order.
Short Entry: Triggered when:
The close price crosses below the Lower Bollinger Band.
The Lower Band is below its 5-period SMA.
The EMAs are in a bearish order.
Trend State Tracking:
A variable tracks whether the market is in a Long or Short trend based on conditions:
A Long trend continues unless conditions for a Short Entry are met or the Upper Band dips below its average.
A Short trend continues unless conditions for a Long Entry are met or the Lower Band rises above its average.
Visual Aids:
Signal Shapes:
Triangle-up shapes indicate Long Entry points below the bar.
Triangle-down shapes indicate Short Entry points above the bar.
Bar Colors:
Green bars indicate a Long trend.
Red bars indicate a Short trend.
This script combines Bollinger Bands with EMA crossovers to generate entry signals and visualize market trends, making it a versatile tool for identifying momentum and trend reversals.
Dynamic Market ScannerDynamic Market Scanner is a powerful tool for analyzing financial markets, combining a variety of indicators to provide clear and understandable signals.
Key Features:
- Signal Generation:
The main signals "Buy", "Sell", and "Hold" are formed based on the analysis of indicators:
- MACD
- RSI
- SMA
- EMA
- WMA
- Hull MA
Additional Analytical Tools:
- ATR is used to assess volatility and helps to understand the risk of the current market situation.
- SMA Ichimoku does not generate signals but is used to assess their accuracy.
- If the price is above the SMA, "Buy" signals are more likely, as this confirms the strength of the upward movement.
- If the price is below the SMA, "Buy" signals require additional confirmations.
Dashboard:
Displays the current price position relative to the indicators, helping the trader understand how strong or weak the current signals are.
Advantages of Using:
1. Signal Filtering:
The price position relative to the SMA Ichimoku helps to assess the likelihood of successful trades.
2. Volatility Analysis:
ATR provides additional information about risks and market fluctuations.
3. Comprehensive Approach:
Signal generation is based on a combination of key indicators, offering a multifaceted view of the market.
Explanation of Percent Calculation in the Table:
- The table shows the values of indicators such as MACD, ATR, EMA, SMA, WMA, and Hull MA in percentages. Percentages are calculated based on the current value of the indicator relative to its maximum and minimum.
- Percentages are displayed for each indicator, allowing traders to assess market conditions based on their current values.
Dynamic Market Scanner will become a reliable assistant in your technical analysis toolkit, providing a comprehensive overview of market conditions and helping to make informed trading decisions.
Easy buy and sell signalThis script identifies trading opportunities by combining:
EMA Crossovers: Detects when the short-term trend (5 EMA) crosses the longer-term trend (20 EMA).
MACD Crossovers: Confirms momentum shifts when the MACD line crosses its signal line.
The script ensures that a signal is only generated when both conditions align, reducing false signals.
HMA Buy Sell Signals - Profit ManagerNote : Settings should be adjusted according to the selected time frame. Try to find the best setting according to the profitability rate
Overall Functionality
This script combines several trading tools to create a comprehensive system for trend analysis, trade execution, and performance tracking. Users can identify market trends using specific moving averages and RSI indicators while managing profit and loss levels automatically.
Trend Detection and Trade Signals
Hull Moving Averages (HMA):
Two HMAs (a faster one and a slower one) are used to determine the market trend.
A buy signal is generated when the faster HMA crosses above the slower HMA.
Conversely, a sell signal is triggered when the faster HMA crosses below the slower one.
Visual Feedback:
Trend lines on the chart change color to reflect the trend direction (e.g., green for upward trends and red for downward trends).
Trade Levels and Management
Entry, Take-Profit, and Stop-Loss Levels:
When the trend shifts upwards, the script calculates entry, take-profit, and stop-loss levels based on the opening price.
Similarly, for downward trends, these levels are determined for short trades.
Commission Tracking:
Each trade includes a commission cost, which is factored into net profit and loss calculations.
Dynamic Labels:
Entry, take-profit, and stop-loss levels are visually marked on the chart for easier tracking.
Performance Tracking
Profit and Loss Tracking:
The script keeps a running total of profits, losses, and commissions for both long and short trades.
It also calculates the net profit after all costs are considered.
Performance Table:
A table is displayed on the chart summarizing:
The number of trades.
Total profit and loss for long and short positions.
Commission costs.
Net profit.
Fractal Support and Resistance
Dynamic Lines:
The script identifies the most recent significant highs and lows using fractals.
It draws support and resistance lines that automatically update as new fractals form.
Simplified Visuals:
The chart always shows the last two support and resistance lines, keeping the visualization clean and focused.
RSI-Based Signals
Overbought and Oversold Levels:
RSI is used to identify overbought (above 80) and oversold (below 20) conditions.
The script generates buy signals at oversold levels and sell signals at overbought levels.
Chart Indicators:
Arrows and labels appear on the chart to highlight these RSI-based opportunities.
Customization
The script allows users to customize key parameters such as:
Moving average lengths for trend detection.
Take-profit and stop-loss percentages.
Timeframes for backtesting.
Starting capital and commission rates.
Conclusion
This script is a versatile tool for traders, combining trend detection, automated trade management, and visual feedback. It simplifies decision-making by providing clear signals and tracking performance metrics, making it suitable for both beginners and experienced traders.
* The most recently drawn fractals represent potential support and resistance levels. If the price aligns with these levels at the time of entering a trade, it may indicate a likelihood of reversal. In such cases, it’s advisable to either avoid entering the trade altogether or proceed with increased caution.
Volume Weighted Average Price with 4 EMAsThe Volume Weighted Average Price (VWAP) with EMAs indicator combines the VWAP, which provides the average price of a security weighted by volume, with four Exponential Moving Averages (EMAs) of customizable lengths (default: 9, 20, 50, 200). This indicator helps traders identify trends, potential support and resistance levels, and make informed trading decisions based on price action relative to volume and moving averages.
50 and 9 EMA CrossoverThis 50 and 9 EMA Crossover strategy is a simple yet effective trend-following approach designed to identify key market entry and exit points based on the interaction of two Exponential Moving Averages (EMAs).
Key Features:
50-period EMA (Blue Line): Represents the longer-term trend. It smooths out price data to show the overall market direction.
9-period EMA (Red Line): Represents the shorter-term trend, responding quicker to recent price movements.
Strategy:
Buy Signal: A crossover occurs when the 9 EMA crosses above the 50 EMA, indicating that short-term momentum is stronger than the long-term trend. This is often interpreted as a signal to enter a long position (buy).
Sell Signal: A crossunder occurs when the 9 EMA crosses below the 50 EMA, suggesting that short-term momentum is weakening or reversing. This can be used as an indication to close long positions or enter short trades (sell).
Key Benefits:
Visual Indicators: The script plots both EMAs on the chart for a clear visual representation of market trends.
Clear Entry/Exit Signals: The "BUY" and "SELL" signals are displayed directly on the chart when the crossovers and crossunders occur, making it easy to act on these key moments.
Alerts: Set up alerts to get notified when these crossovers occur, ensuring you don’t miss important trading opportunities.
This strategy works best in trending markets and can be used for both short-term and longer-term trading, depending on your preferences.
Monthly EMA 5 Buy Signal Swing Medium Term Investment StrategyTrading Strategy Description
This strategy is designed to generate buy signals based on the behavior of monthly candles in relation to the 5-period Exponential Moving Average (EMA). The conditions for generating a buy signal are as follows:
Monthly Candle Below 5 EMA: The previous monthly candle must not touch the 5 EMA and must be entirely below it. This means the highest point of the candle (the high) is below the 5 EMA.
Next Monthly Candle Closes Above Previous Candle’s High: The current monthly candle must close above the high of the previous monthly candle.
How to Use the Strategy
Add the Script to TradingView: Copy the provided Pine Script code and add it to a new indicator in TradingView.
Understand the Plot:
The 5 EMA is plotted on the chart in blue.
Buy signals are indicated by green labels below the bars with the text “BUY”.
Identify Buy Signals:
Look for green “BUY” labels on the chart. These labels indicate that the conditions for a buy signal have been met.
When you see a “BUY” label, it means the previous monthly candle was below the 5 EMA and the current monthly candle has closed above the previous candle’s high.
Example Scenario
Month 1: The monthly candle does not touch the 5 EMA and is entirely below it.
Month 2: The monthly candle closes above the high of Month 1’s candle.
Buy Signal: A green “BUY” label will appear below the Month 2 candle, indicating a buy signal.
Taking the Trade
When a buy signal is generated:
Enter the Trade: Consider entering a long position at the close of the monthly candle that generated the buy signal.
Risk Management: Set your stop-loss and take-profit levels according to your risk management strategy. You might place a stop-loss below the low of the signal candle or use other technical analysis tools to determine your exit points.
This strategy helps you identify potential bullish reversals or continuation patterns based on the relationship between the monthly candles and the 5 EMA. Always backtest and paper trade any strategy before using it with real money to ensure it fits your trading style and risk tolerance.
EMA MTF Crossover [Two]1m = Scalping Trade 3% chart
Đ = Đảo chiều xu hướng = Swing Trade 5% chart
T = Tiếp diễn xu hướng = Scalp Trade 5% chart
Price Action Health CheckThis is a price action indicator that measures market health by comparing EMAs, adapting automatically to different timeframes (Weekly/Daily more reliable) and providing context-aware health status.
Key features:
Automatically adjusts EMA periods based on timeframe
Measures price action health through EMA separation and historical context
Provides visual health status with clear improvement/deterioration signals
Projects a 13-period trend line for directional context
Trading applications:
Identify shifts in market health before major trend changes
Validate trend strength by comparing current readings to historical averages
Time entries/exits based on health status transitions
Filter trades using timeframe-specific health readings
I like to use it to keep SPX in check before deciding the market is going down.
Note: For optimal analysis, use primarily on Weekly and Daily timeframes where price action patterns are more significant.
Moving Average Distance between MA coloredThe distance between short and long moving average of prices MAD
Momentum
Predictor of equity returns
Snipe 1-Minute IntradayPurpose
This script demonstrates a simple intraday approach using RSI, EMAs, VWAP, and an optional volume filter. It plots visual buy (bullish) and sell (bearish) signals on the chart under certain conditions. You can use it as a starting point to explore or develop your own intraday strategies.
Key Features
1. VWAP (Volume Weighted Average Price)
Plots the built-in VWAP for additional context on intraday price action.
2. EMA Crossover
Uses two EMAs (fast and slow). A bullish signal triggers when the fast EMA is above the slow EMA, and a bearish signal triggers when the fast EMA is below the slow EMA.
3. RSI Momentum Filter
An RSI reading above 50 indicates bullish momentum; below 50 indicates bearish momentum.
4. Volume Filter (Optional)
Compares the current bar’s volume against the average volume (over a user-defined period). When enabled, signals only appear if the current volume exceeds the average.
5. Time Window (Optional)
Allows you to define a specific time window (e.g., the first hour of trading) for valid signals. You can enable or disable this filter and set your preferred time zone.
How the Signals Are Generated
• Bullish Signal
o Occurs when:
1. Price is above VWAP.
2. Fast EMA is above Slow EMA.
3. RSI is above 50.
4. (Optional) Current volume exceeds the average volume if the volume filter is enabled.
5. (Optional) The chart’s timestamp is within the specified session if the time filter is enabled.
A green triangle is plotted below the bar, and an optional background highlight is shown.
• Bearish Signal
Occurs when the conditions are inverted (price below VWAP, fast EMA below slow EMA, RSI below 50, volume filter and time window—if enabled—are satisfied).
A red triangle is plotted above the bar, and an optional background highlight is shown.
How to Use
1. Load on a 1-Minute Chart (Recommended)
This script is intended for intraday timeframes (specifically 1-minute). Feel free to experiment with other timeframes.
2. Adjust Inputs
You can modify the RSI length, EMA lengths, and volume lookback to suit your preferences or trading style.
If you prefer signals outside the default session hours, turn off “Use Time Filter for Signals?” or change the session window and time zone.
3. Enable or Disable Volume Filter
Turn this on if you only want signals during higher-than-average volume bars.
4. Combine with Other Analysis
This script can be used as a visual tool; however, it is not a complete trading system by itself. Consider additional technical or fundamental analysis to validate your trading decisions.
5. Risk Management
Always practice sound risk management. Setting appropriate stop-losses or using position sizing techniques can help manage potential losses.
Important Notes and Disclaimers
• Educational Only: This script is for demonstration and educational purposes and does not guarantee future results.
• No Financial Advice: Nothing here should be construed as financial or investment advice. Always do your own research and consider consulting a qualified financial professional.
• Test Before Using Live: If you plan to incorporate this script into a strategy, backtest it on historical data and consider forward-testing on a demo account.
• License: This code is subject to the Mozilla Public License 2.0.
MA Distance with StdDev BandsThis Pine Script indicator calculates and visualizes the percentage deviation from a moving average with dynamic standard deviation bands. Here's what it does:
Key Features
Calculates the percentage difference between current price and a user-selected moving average (SMA, EMA, or VWMA)
Computes standard deviation bands using the entire historical dataset
Displays dynamic color changes based on price movement and band positions
Visual Components
Main line: Shows percentage deviation from the moving average
Dashed bands: Upper and lower standard deviation boundaries
Zero line: Reference for neutral position
Color signals:
Red: Price outside standard deviation bands
Green: Above MA and rising
Orange: Below MA but rising
Blue: Other conditions
MA Distance with StdDev BandsThis Pine Script indicator calculates and visualizes the percentage deviation from a moving average with dynamic standard deviation bands. Here's what it does:
Key Features
Calculates the percentage difference between current price and a user-selected moving average (SMA, EMA, or VWMA)
Computes standard deviation bands using the entire historical dataset
Displays dynamic color changes based on price movement and band positions
Visual Components
Main line: Shows percentage deviation from the moving average
Dashed bands: Upper and lower standard deviation boundaries
Zero line: Reference for neutral position
Color signals:
Red: Price outside standard deviation bands
Green: Above MA and rising
Orange: Below MA but rising
Blue: Other conditions
EMA Conditions Overlay with Weekly Tick MovementDisplays EMA conditions for 4H and daily timeframes along with weekly tick movement
13W High/Low/Fibs w/100D SMAIndicator: 13 Week High/100 Day SMA/13 Week Low with 0.382, 0.5, and 0.618 Fibonacci Levels
Description:
This indicator for TradingView, written in Pine Script version 6
It displays a table on the chart that provides a visual analysis of key price levels based on a 13-week timeframe and a 100-day Simple Moving Average (SMA).
Core Calculations:
100-Day SMA: The indicator calculates the 100-day Simple Moving Average of the closing price using daily data. The SMA is a widely used trend-following indicator.
13-Week High and Low: The indicator calculates the highest high and lowest low over the past 13 weeks using weekly data. This provides a longer-term perspective on the price range.
13-Week Fibonacci Retracement Levels: Based on the calculated 13-week high and low, the script determines the 0.382, 0.5, and 0.618 Fibonacci retracement levels.
The table includes the following information:
13W High: The highest price reached over the last 13 weeks.
100D SMA: The calculated 100-day Simple Moving Average value.
13W Low: The lowest price reached over the last 13 weeks.
Fibonacci Levels: The 0.382, 0.5, and 0.618 Fibonacci retracement levels, labeled as "↗," "|," and "↘," respectively.
