Combined EMA/Smiley & DEM System## 🔷 General Overview
This script creates an advanced technical analysis system for TradingView, combining multiple Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), dynamic Fibonacci levels, and ATR (Average True Range) analysis. It presents the results clearly through interactive, real-time tables directly on the chart.
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## 🔹 Indicator Structure
The script consists of two main parts:
### **1. EMA & SMA Combined System with Fibonacci**
- **Purpose:**
Provides visual insights by comparing multiple EMA/SMA periods and identifying significant dynamic price levels using Fibonacci ratios around a calculated "Golden" line.
- **Components:**
- **Moving Averages (MAs)**:
- 20 EMAs (periods from 20 to 400)
- 20 SMAs (also from 20 to 400)
- **Golden Line:**
Calculated as the average of all EMAs and SMAs.
- **Dynamic Fibonacci Levels:**
Key ratios around the Golden line (0.5, 0.618, 0.786, 1.0, 1.272, 1.414, 1.618, 2.0) dynamically adjust based on market conditions.
- **Fibonacci Labels:**
Labels are shown next to Fibonacci lines, indicating their numeric value clearly on the chart.
- **Table (Top Right Corner):**
- Displays:
- **Input:** EMA/SMA periods sorted by their current average price levels.
- **AVG:** The average of corresponding EMA & SMA pairs.
- **EMA & SMA Values:** Individual EMA/SMA values clearly marked.
- **Dynamic Highlighting:** Highlights the row whose average (EMA+SMA)/2 is closest to the current price, helping identify immediate price action significance.
- **Sorting Logic:**
Each EMA/SMA pair is dynamically sorted based on their average values. Color coding (red/green) is used:
- **Green:** EMA/SMA pairs with shorter periods when their average is lower.
- **Red:** EMA/SMA pairs with longer periods when their average is lower.
- **Star (⭐):** Represents the "Golden" average clearly.
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### **2. DEM System (Dynamic EMA/ATR Metrics)**
- **Purpose:**
Provides detailed ATR statistics to assess market volatility clearly and quickly.
- **Components:**
- **Moving Averages:**
- SMA lines: 25, 50, 100, 200.
- **Bollinger Bands:**
- Based on 20-period SMA of highs and standard deviation of lows.
- **ATR Analysis:**
- ATR calculations for multiple periods (1-day, 10, 20, 30, 40, 50).
- **ATR Premium:** Average ATR of all calculated periods, providing an overarching volatility indicator.
- **ATR Table (Bottom Right Corner):**
- Displays clearly structured ATR values and percentages relative to the current close price:
- Columns: **ATR Period**, **Value**, and **% of Close**.
- Rows: Each specific ATR (1D, 10, 20, 30, 40, 50), plus ATR premium.
- The ATR premium is highlighted in yellow to signify its importance clearly.
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## 🔹 Key Features and Logic Explained
- **Dynamic EMA/SMA Sorting:**
The script computes the average of each EMA/SMA pair and sorts them dynamically on each bar, highlighting their relative importance visually. This allows traders to easily interpret the strength of current support/resistance levels based on moving averages.
- **Closest EMA/SMA Pair to Current Price:**
Calculates the absolute difference between the current price and all EMA/SMA averages, highlighting the closest one for quick reference.
- **Fibonacci Ratios:**
- Dynamically calculated Fibonacci levels based on the "Golden" EMA/SMA average give clear visual guidance for potential targets, supports, and resistances.
- Labels are continuously updated and placed next to levels for clarity.
- **ATR Volatility Analysis:**
- Provides immediate insight into market volatility with absolute and relative (percentage-based) ATR values.
- ATR premium summarizes volatility across multiple timeframes clearly.
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## 🔹 Practical Use Case:
- Traders can quickly identify support/resistance and critical price zones through EMA/SMA and Fibonacci combinations.
- Useful in assessing immediate volatility, guiding stop-loss and take-profit levels through detailed ATR metrics.
- The dynamic highlighting in tables provides intuitive, real-time decision support for active traders.
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## 🔹 How to Use this Script:
1. **Adjust EMA & SMA Lengths** from indicator settings if different periods are preferred.
2. **Monitor dynamic Fibonacci levels** around the "Golden" average to identify possible reversal or continuation points.
3. **Check EMA/SMA table:** Rows highlighted indicate immediate significance concerning current market price.
4. **ATR table:** Use volatility metrics for better risk management.
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## 🔷 Conclusion
This advanced Pine Script indicator efficiently combines multiple EMAs, SMAs, dynamic Fibonacci retracement levels, and volatility analysis using ATR into a comprehensive real-time analytical tool, enhancing traders' decision-making capabilities by providing clear and actionable insights directly on the TradingView chart.
Cerca negli script per "ema"
Scalping trading system based on 4 ema linesScalping Trading System Based on 4 EMA Lines
Overview:
This is a scalping trading strategy built on signals from 4 EMA moving averages: EMA(8), EMA(12), EMA(24) and EMA(72).
Conditions:
- Time frame: H1 (1 hour).
- Trading assets: Applicable to major currency pairs with high volatility
- Risk management: Use a maximum of 1-2% of capital for each transaction. The order holding time can be from a few hours to a few days, depending on the price fluctuation amplitude.
Trading rules:
Determine the main trend:
Uptrend: EMA(8), EMA(12) and EMA(24) are above EMA(72).
Downtrend: EMA(8), EMA(12) and EMA(24) are below EMA(72).
Trade in the direction of the main trend** (buy in an uptrend and sell in a downtrend).
Entry conditions:
- Only trade in a clearly trending market.
Uptrend:
- Wait for the price to correct to the EMA(24).
- Enter a buy order when the price closes above the EMA(24).
- Place a stop loss below the bottom of the EMA(24) candle that has just been swept.
Downtrend:
- Wait for the price to correct to the EMA(24).
- Enter a sell order when the price closes below the EMA(24).
- Place a stop loss above the top of the EMA(24) candle that has just been swept.
Take profit and order management:
- Take profit when the price moves 20 to 40 pips in the direction of the trade.
Use Trailing Stop to optimize profits instead of setting a fixed Take Profit.
Note:
- Do not trade within 30 minutes before and after the announcement of important economic news, as the price may fluctuate abnormally.
Additional filters:
To increase the success rate and reduce noise, this strategy uses additional conditions:
1. The price is calculated only when the candle closes (no repaint).
2. When sweeping through EMA(24), the price needs to close above EMA(24).
3. The closing price must be higher than 50% of the candle's length.
4. **The bottom of the candle sweeping through EMA(24) must be lower than the bottom of the previous candle (liquidity sweep).
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Alert function:
When the EMA(24) sweep conditions are met, the system will trigger an alert if you have set it up.
- Entry point: The closing price of the candle sweeping through EMA(24).
- Stop Loss:
- Buy Order: Place at the bottom of the sweep candle.
- Sell Order: Place at the top of the sweep candle.
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Note:
This strategy is designed to help traders identify profitable trading opportunities based on trends. However, no strategy is 100% guaranteed to be successful. Please test it thoroughly on a demo account before using it.
Tandem EMA TrendsThis indicator helps to identify trends using 2 (tandem) EMAs: a fast EMA and a slow EMA. Set the lengths of the EMAs in the inputs (fast EMA should be a smaller number than the slow EMA).
The trend is bullish if the current value of the fast EMA > current value of the slow EMA AND the current value of the fast EMA > the prior bar's value of the fast EMA.
The trend is bearish if the current value of the fast EMA < current value of the slow EMA AND the current value of the fast EMA < the prior bar's value of the fast EMA.
The fast EMA is countertrend to the slow EMA if either of the following 2 conditions exist:
The current value of the fast EMA > current value of the slow EMA AND the current value of the fast EMA < the prior bar's value of the fast EMA (bullish countertrend).
-OR-
The current value of the fast EMA < current value of the slow EMA AND the current value of the fast EMA > the prior bar's value of the fast EMA (bearish countertrend).
Use this script to set custom alerts based off of the current trend like sending webhooks when specific conditions exist.
Customize the colors of the plots.
Consecutive Candles Above/Below EMADescription:
This indicator identifies and highlights periods where the price remains consistently above or below an Exponential Moving Average (EMA) for a user-defined number of consecutive candles. It visually marks these sustained trends with background colors and labels, helping traders spot strong bullish or bearish market conditions. Ideal for trend-following strategies or identifying potential trend exhaustion points, this tool provides clear visual cues for price behavior relative to the EMA.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-specified period (default: 100). The EMA is plotted as a blue line on the chart for reference.
Consecutive Candle Tracking: It counts how many consecutive candles close above or below the EMA:
If a candle closes below the EMA, the "below" counter increments; any candle closing above resets it to zero.
If a candle closes above the EMA, the "above" counter increments; any candle closing below resets it to zero.
Highlighting Trends: When the number of consecutive candles above or below the EMA meets or exceeds the user-defined threshold (default: 200 candles):
A translucent red background highlights periods where the price has been below the EMA.
A translucent green background highlights periods where the price has been above the EMA.
Labeling: When the required number of consecutive candles is first reached:
A red downward arrow label with the text "↓ Below" appears for below-EMA streaks.
A green upward arrow label with the text "↑ Above" appears for above-EMA streaks.
Usage:
Trend Confirmation: Use the highlights and labels to confirm strong trends. For example, 200 candles above the EMA may indicate a robust uptrend.
Reversal Signals: Prolonged streaks (e.g., 200+ candles) might suggest overextension, potentially signaling reversals.
Customization: Adjust the EMA period to make it faster or slower, and modify the candle count to make the indicator more or less sensitive to trends.
Settings:
EMA Length: Set the period for the EMA calculation (default: 100).
Candles Count: Define the minimum number of consecutive candles required to trigger highlights and labels (default: 200).
Visuals:
Blue EMA line for tracking the moving average.
Red background for sustained below-EMA periods.
Green background for sustained above-EMA periods.
Labeled arrows to mark when the streak threshold is met.
This indicator is a powerful tool for traders looking to visualize and capitalize on persistent price trends relative to the EMA, with clear, customizable signals for market analysis.
Explain EMA calculation
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Adv EMA Cloud v6 (ADX, Alerts)Summary:
This indicator provides a multi-faceted view of market trends using Exponential Moving Averages (EMAs) arranged in visually intuitive clouds, enhanced with an optional ADX-based range filter and configurable alerts for key market conditions. It aims to help traders quickly gauge trend alignment across short, medium, and long timeframes while filtering signals during potentially choppy market conditions.
Key Features:
Multiple EMAs: Displays 10-period (Fast), 20-period (Mid), and 50-period (Slow) EMAs.
Long-Term Trend Filter: Includes a 200-period EMA to provide context for the overall dominant trend direction.
Dual EMA Clouds:
Fast/Mid Cloud (10/20 EMA): Fills the area between the 10 and 20 EMAs. Defaults to Green when 10 > 20 (bullish short-term momentum) and Red when 10 < 20 (bearish short-term momentum).
Mid/Slow Cloud (20/50 EMA): Fills the area between the 20 and 50 EMAs. Defaults to Aqua when 20 > 50 (bullish mid-term trend) and Fuchsia when 20 < 50 (bearish mid-term trend).
Optional ADX Range Filter: Uses the Average Directional Index (ADX) to identify potentially non-trending or choppy markets. When enabled and ADX falls below a user-defined threshold, the EMA clouds will turn grey, visually warning that trend-following signals may be less reliable.
Configurable Alerts: Provides several built-in alert conditions using Pine Script's alertcondition function:
Confluence Condition: Triggers when a 10/20 EMA crossover occurs while both EMA clouds show alignment (both bullish/green/aqua or both bearish/red/fuchsia) and price respects the 200 EMA filter and the ADX filter indicates a trend (if filters are enabled).
MA Filter Cross: Triggers when price crosses above or below the 200 EMA filter line.
Full Alignment Start: Triggers on the first bar where full bullish or bearish alignment occurs (both clouds aligned + MA filter respected + ADX trending, if filters are enabled).
How It Works:
EMA Calculation: Standard Exponential Moving Averages are calculated for the 10, 20, 50, and 200 periods based on the closing price.
Cloud Creation: The fill() function visually shades the area between the 10 & 20 EMAs and the 20 & 50 EMAs.
Cloud Coloring: The color of each cloud is determined by the relationship between the two EMAs that define it (e.g., if EMA 10 is above EMA 20, the first cloud is bullish-colored).
ADX Filter Logic: The script calculates the ADX value. If the "Use ADX Trend Filter?" input is checked and the calculated ADX is below the specified "ADX Trend Threshold", the script considers the market potentially ranging.
ADX Visual Effect: During detected ranging periods (if the ADX filter is active), the plotCloud12Color and plotCloud23Color variables are assigned a neutral grey color instead of their normal bullish/bearish colors before being passed to the fill() function.
Alert Logic: Boolean variables track the specific conditions (crossovers, cloud alignment, filter positions, ADX state). The alertcondition() function creates triggerable alerts based on these pre-defined conditions.
Potential Interpretation (Not Financial Advice):
Trend Alignment: When both clouds share the same directional color (e.g., both bullish - Green & Aqua) and price is on the corresponding side of the 200 EMA filter, it may suggest a stronger, more aligned trend. Conversely, conflicting cloud colors may indicate indecision or transition.
Dynamic Support/Resistance: The EMA lines themselves (especially the 20, 50, and 200) can sometimes act as dynamic levels where price might react.
Range Warning: Greyed-out clouds (when ADX filter is enabled) serve as a visual warning that trend-based strategies might face increased difficulty or whipsaws.
Confluence Alerts: The specific confluence alerts signal moments where multiple conditions align (crossover + cloud agreement + filters), which some traders might view as higher-probability setups.
Customization:
All EMA lengths (10, 20, 50, 200) are adjustable via the Inputs menu.
The ADX length and threshold are configurable.
The MA Trend Filter and ADX Trend Filter can be independently enabled or disabled.
Disclaimer:
This indicator is provided for informational and educational purposes only. Trading financial markets involves significant risk. Past performance is not indicative of future results. Always conduct your own thorough analysis and consider your risk tolerance before making any trading decisions. This indicator should be used in conjunction with other analysis methods and tools. Do not trade based solely on the signals or visuals provided by this indicator.
Supertrend and Fast and Slow EMA StrategyThis strategy combines Exponential Moving Averages (EMAs) and Average True Range (ATR) to create a simple, yet effective, trend-following approach. The strategy filters out fake or sideways signals by incorporating the ATR as a volatility filter, ensuring that trades are only taken during trending conditions. The key idea is to buy when the short-term trend (Fast EMA) aligns with the long-term trend (Slow EMA), and to avoid trades during low volatility periods.
How It Works:
EMA Crossover:
1). Buy Signal: When the Fast EMA (shorter-term, e.g., 20-period) crosses above the Slow EMA (longer-term, e.g., 50-period), this indicates a potential uptrend.
2). Sell Signal: When the Fast EMA crosses below the Slow EMA, this indicates a potential downtrend.
ATR Filter:
1). The ATR (Average True Range) is used to measure market volatility.
2). Trending Market: If the ATR is above a certain threshold, it indicates high volatility and a trending market. Only when ATR is above the threshold will the strategy generate buy/sell signals.
3). Sideways Market: If ATR is low (sideways or choppy market), the strategy will suppress signals to avoid entering during non-trending conditions.
When to Buy:
1). Condition 1: The Fast EMA crosses above the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, indicating that the market is trending (not sideways or choppy).
When to Sell:
1). Condition 1: The Fast EMA crosses below the Slow EMA.
2). Condition 2: The ATR is above the defined threshold, confirming that the market is in a downtrend.
When Not to Enter the Trade:
1). Sideways Market: If the ATR is below the threshold, signaling low volatility and sideways or choppy market conditions, the strategy will not trigger any buy or sell signals.
2). False Crossovers: In low volatility conditions, price action tends to be noisy, which could lead to false signals. Therefore, avoiding trades during these periods reduces the risk of false breakouts.
Additional Factors to Consider Adding:
=> RSI (Relative Strength Index): Adding an RSI filter can help confirm overbought or oversold conditions to avoid buying into overextended moves or selling too low.
1). RSI Buy Filter: Only take buy signals when RSI is below 70 (avoiding overbought conditions).
2). RSI Sell Filter: Only take sell signals when RSI is above 30 (avoiding oversold conditions).
=> MACD (Moving Average Convergence Divergence): Using MACD can help validate the strength of the trend.
1). Buy when the MACD histogram is above the zero line and the Fast EMA crosses above the Slow EMA.
2). Sell when the MACD histogram is below the zero line and the Fast EMA crosses below the Slow EMA.
=> Support/Resistance Levels: Adding support and resistance levels can help you understand market structure and decide whether to enter or exit a trade.
1). Buy when price breaks above a significant resistance level (after a valid buy signal).
2). Sell when price breaks below a major support level (after a valid sell signal).
=> Volume: Consider adding a volume filter to ensure that buy/sell signals are supported by strong market participation. You could only take signals if the volume is above the moving average of volume over a certain period.
=> Trailing Stop Loss: Instead of a fixed stop loss, use a trailing stop based on a percentage or ATR to lock in profits as the trade moves in your favor.
=> Exit Signals: Besides the EMA crossover, consider adding Take Profit or Stop Loss levels, or even using a secondary indicator like RSI to signal an overbought/oversold condition and exit the trade.
Example Usage:
=> Buy Example:
1). Fast EMA (20-period) crosses above the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is below 70, the buy signal is further confirmed as not being overbought.
=> Sell Example:
1). Fast EMA (20-period) crosses below the Slow EMA (50-period).
2). The ATR is above the threshold, confirming that the market is trending.
3). Optionally, if RSI is above 30, the sell signal is further confirmed as not being oversold.
Conclusion:
This strategy helps to identify trending markets and filters out sideways or choppy market conditions. By using Fast and Slow EMAs combined with the ATR volatility filter, it provides a reliable approach to catching trending moves while avoiding false signals during low-volatility, sideways markets.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
IU EMA Channel StrategyIU EMA Channel Strategy
Overview:
The IU EMA Channel Strategy is a simple yet effective trend-following strategy that uses two Exponential Moving Averages (EMAs) based on the high and low prices. It provides clear entry and exit signals by identifying price crossovers relative to the EMAs while incorporating a built-in Risk-to-Reward Ratio (RTR) for effective risk management.
Inputs ( Settings ):
- RTR (Risk-to-Reward Ratio): Define the ratio for risk-to-reward (default = 2).
- EMA Length: Adjust the length of the EMA channels (default = 100).
How the Strategy Works
1. EMA Channels:
- High-based EMA: EMA calculated on the high price.
- Low-based EMA: EMA calculated on the low price.
The area between these two EMAs creates a "channel" that visually highlights potential support and resistance zones.
2. Entry Rules:
- Long Entry: When the price closes above the high-based EMA (crossover).
- Short Entry: When the price closes below the low-based EMA (crossunder).
These entries ensure trades are taken in the direction of momentum.
3. Stop Loss (SL) and Take Profit (TP):
- Stop Loss:
- For long positions, the SL is set at the previous bar's low.
- For short positions, the SL is set at the previous bar's high.
- Take Profit:
- TP is automatically calculated using the Risk-to-Reward Ratio (RTR) you define.
- Example: If RTR = 2, the TP will be 2x the risk distance.
4. Exit Rules:
- Positions are closed at either the stop loss or the take profit level.
- The strategy manages exits automatically to enforce disciplined risk management.
Visual Features
1. EMA Channels:
- The high and low EMAs are dynamically color-coded:
- Green: Price is above the EMA (bullish condition).
- Red: Price is below the EMA (bearish condition).
- The area between the EMAs is shaded for better visual clarity.
2. Stop Loss and Take Profit Zones:
- SL and TP levels are plotted for both long and short positions.
- Zones are filled with:
- Red: Stop Loss area.
- Green: Take Profit area.
Be sure to manage your risk and position size properly.
[SM-042] EMA 5-8-13 with ADX FilterWhat is the strategy?
The strategy combines three exponential moving averages (EMAs) — 5, 8, and 13 periods — with an optional ADX (Average Directional Index) filter. It is designed to enter long or short positions based on EMA crossovers and to exit positions when the price crosses a specific EMA. The ADX filter, if enabled, adds a condition that only allows trades when the ADX value is above a certain threshold, indicating trend strength.
Who is it for?
This strategy is for traders leveraging EMAs and trend strength indicators to make trade decisions. It can be used by anyone looking for a simple trend-following strategy, with the flexibility to adjust for trend strength using the ADX filter.
When is it used?
- **Long trades**: When the 5-period EMA crosses above the 8-period EMA, with an optional ADX condition (if enabled) that requires the ADX value to be above a specified threshold.
- **Short trades**: When the 5-period EMA crosses below the 8-period EMA, with the ADX filter again optional.
- **Exits**: The strategy exits a long position when the price falls below the 13-period EMA and exits a short position when the price rises above the 13-period EMA.
Where is it applied?
This strategy is applied on a chart with any asset on TradingView, with the EMAs and ADX plotted for visual reference. The strategy uses `strategy.entry` to open positions and `strategy.close` to close them based on the set conditions.
Why is it useful?
This strategy helps traders identify trending conditions and filter out potential false signals by using both EMAs (to capture short-term price movements) and the ADX (to confirm the strength of the trend). The ADX filter can be turned off if not desired, making the strategy flexible for both trending and range-bound markets.
How does it work?
- **EMA Crossover**: The strategy enters a long position when the 5-period EMA crosses above the 8-period EMA, and enters a short position when the 5-period EMA crosses below the 8-period EMA.
- **ADX Filter**: If enabled, the strategy checks whether the ADX value is above a set threshold (default is 20) before allowing a trade.
- **Exit Conditions**: Long positions are closed when the price falls below the 13-period EMA, and short positions are closed when the price rises above the 13-period EMA.
- **Plotting**: The strategy plots the three EMAs and the ADX value on the chart for visualization. It also displays a horizontal line at the ADX threshold.
This setup allows for clear decision-making based on the interaction between different time-frame EMAs and trend strength as indicated by ADX.
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!
EMA TrendThe purpose of this script is to identify price trends based on EMAs. The relative position of price to specific EMAs and the position of certain EMAs towards each other are used to determine the trend direction. The script is intended for investors as a tool to define a basis for further evaluation. I do not use the script as a signal generator and would not recommend doing so without the help of additional indicators.
How to work with the script
The major (or long term) trend direction is determined by the 144 EMA much in the same way as the 200 MA is used in other systems. If the price is above the 144 EMA we are in a long term uptrend, below we are in a long term downtrend. This is to be taken with a grain of salt though. The 144 EMA is considerably shorter than the 200 SMA and is more prone to the price fluctuating around it during periods without a strong long term trend. I recommend using this as a confirmation for the short term trend.
The short term trend is derived from the position and slope of the price, the 21 EMA and the 55 EMA. If the price is above the 21 EMA, the 21 above the 55 EMA, both EMAs are sloping upwards and the distance between the two is increasing, we are talking about an uptrend (and vice versa for a downtrend). This is visualized by the color of the fill between the 144 EMA and close price. Green for uptrend, red for downtrend and no color for an undetermined trend.
The EMAs used are: 21 , 34 , 55 , 89 , 144 , 233 . Most of the EMAs are at 50 transparency to appear less dominant. For orientation, the 144 EMA is bright green to indicate its general importance for the trend determination, and the 55 EMAs is not transparent mainly to be able to identify positioning when the EMAs are close together.
Base time frame EMA
The 144 EMA is plotted twice where one is fixed to the daily time frame (can be configured) to be able to have the 144 on different timeframes during analysis. I find this very useful to keep the focus on my main time frame while analyzing trend on lower or higher time frames. This can also be turned off.
Configurability
This script is less configurable than I generally like with my other scripts. The reason is that the title attribute of the plots is not dynamic, and I use the data window often to get exact values from the script to determine buy targets for pullbacks and other things. Hence, I prefer not to have random names (or no names) in there to save mental capacity. If this ever becomes available, I'll gladly add this to this script. Till then, I encourage you to take the script and adjust it to your own needs. It should be simple enough even if you are just starting out in pine.
EMA with time-interval dependant visiblity settingThis scrip exposes 4 Exponential Moving Average (EMA) indicators which their visibility can be set to a daily or weekly time-frame (aka intervals). Based on your current chart time-frame, the matching EMA indicators come on and off.
This helps to have meaningful EMAs relevant to your time internal.
In a traditional 10 EMA indicates a plotted indicator would bear a meaning of a 10 day EMA when in daily and 10 week EMA when in weekly chart which may or may not be useful as some who for example only require a 10 week EMA for thier analysis and wouldn't want to cloud a daily chart with an EMA which won't resemble a valuable output for this particular user.
With EMA+, you can choose to see the 10 week EMA only when your chart is in the weekly time interval, so when switched to a daily interval a 10x EMA is not shown anymore.
If you prefer to see a 10 week EMA and a 21 day EMA on the other hand, you will only have 1 EMA shown when in weekly mode which is a 10 week EMA and one EMA when in daily mode with is 21 day EMA.
GC Magic(EMA/RMA) V1This is the second script I am posting on TV . This is a Trend based indicator with the option of using it as Exponential Moving Averages or Rsi Moving Averages.The RMA's are giving better signal than the Exponential Moving Averages. The script has the option to select either of them. Works on all time frames. The default options are working good on all time frames.
With the help of Indicator Properties following Options can be changed
a. Type of moving averages for using Guppy method
b. Option to use higher time frame Signal moving average of your choice along with higher time frame
c. Enable or disable to show signal EMA/RMA on chart .
d. Enable or disable to show Guppy EMA/RMA on chart
Indicator Properties:
1. Select to use EMA , Uncheck to use RMA: --> Check to Select EMA based Guppy or Uncheck to use RMA based Guppy
2. Fast EMA/RMA For Cross --> Fast EMA/RMA cross Length
3. Slow EMA/RMA For Cross --> Slow EMA/RMA Length
4. Signal EMA/RMA --> Moving average to use for Signal filters. This moving average will be based on the timeframe u will be selecting below
5. Time interval for Signal EMA/RMA (W, D, ) --> Which time frame moving average you want for the above Signal EMA
6. Do you want to use Signal EMA/RMA for Signals? --> Do you want to use Signal EMA as filter or just the cross of Guppy . Check to use and uncheck for just cross
7. Show Signal EMA on Chart? --> Do you want to display higher timeframe Signal EMA on chart
8. Show Guppy-Slow-Red On Chart? --> Shows/Hides Slow EMA/RMAs
9. Show Guppy-Fast-Green On Chart? --> Shows/Hides Fast EMA/RMAs
Examples:
GbpAud 15m
GbpNzd 1hr
Oil 4hr
AudUSD 1hr
MFI + RSI + EMA Dynamic SignalsThe MFI + RSI + EMA Dynamic Signals is a designed to combine with widened criteria to capture more trading opportunities, it balances momentum, trend, and flexibility, making it suitable for trading on timeframes like 15-minute to 4-hour charts.
How It Works
The indicator uses three technical components with relaxed criteria to produce signals:
Money Flow Index (MFI) for Momentum Extremes:
The MFI, calculated over a 14-period length, measures buying and selling pressure using price and volume. A buy signal can trigger when MFI crosses above the oversold level (default: 30, widened from 20), indicating potential buying pressure, while a sell signal can occur when MFI crosses below the overbought level (default: 70, widened from 80), suggesting selling pressure.
Relative Strength Index (RSI) for Momentum Confirmation:
The RSI, calculated over a 14-period length, confirms momentum strength. Bullish momentum is confirmed when RSI is above a buy threshold (default: 45, relaxed from 50), and bearish momentum when below a sell threshold (default: 55, relaxed from 50), allowing more signals near neutral momentum levels.
Exponential Moving Average (EMA) for Trend Sensitivity:
The indicator uses a fast EMA (default: 9 periods) and a slow EMA (default: 21 periods) to detect trend direction and crossovers. Signals can trigger when the fast EMA crosses the slow EMA, or when the fast EMA is within a proximity threshold (default: 0.5%) of the slow EMA, capturing early trend changes and increasing signal frequency.
Signal Generation
Signals are generated using the previous bar’s values to prevent repainting, with widened criteria for more frequent triggers:
Buy Signal: Either the MFI crosses above the oversold level or the fast EMA crosses above the slow EMA, and either RSI confirms bullish momentum (above 45) or the EMAs are near a crossover (within 0.5%). Displayed as a green upward triangle below the bar.
Sell Signal: Either the MFI crosses below the overbought level or the fast EMA crosses below the slow EMA, and either RSI confirms bearish momentum (below 55) or the EMAs are near a crossover (within 0.5%). Displayed as a red downward triangle above the bar.
EMA Pullback Speed Strategy 📌 **Overview**
The **EMA Pullback Speed Strategy** is a trend-following approach that combines **price momentum** and **Exponential Moving Averages (EMA)**.
It aims to identify high-probability entry points during brief pullbacks within ongoing uptrends or downtrends.
The strategy evaluates **speed of price movement**, **relative position to dynamic EMA**, and **candlestick patterns** to determine ideal timing for entries.
One of the key concepts is checking whether the price has **“not pulled back too much”**, helping focus only on situations where the trend is likely to continue.
⚠️ This strategy is designed for educational and research purposes only. It does not guarantee future profits.
🧭 **Purpose**
This strategy addresses the common issue of **"jumping in too late during trends and taking unnecessary losses."**
By waiting for a healthy pullback and confirming signs of **trend resumption**, traders can enter with greater confidence and reduce false entries.
🎯 **Strategy Objectives**
* Enter in the direction of the prevailing trend to increase win rate
* Filter out false signals using pullback depth, speed, and candlestick confirmations
* Predefine Take-Profit (TP) and Stop-Loss (SL) levels for safer, rule-based trading
✨ **Key Features**
* **Dynamic EMA**: Reacts faster when price moves quickly, slower when market is calm – adapting to current momentum
* **Pullback Filter**: Avoids trades when price pulls back too far (e.g., more than 5%), indicating a trend may be weakening
* **Speed Check**: Measures how strongly the price returns to the trend using candlestick body speed (open-to-close range in ticks)
📊 **Trading Rules**
**■ Long Entry Conditions:**
* Current price is above the dynamic EMA (indicating uptrend)
* Price has pulled back toward the EMA (a "buy the dip" situation)
* Pullback depth is within the threshold (not excessive)
* Candlesticks show consecutive bullish closes and break the previous high
* Price speed is strong (positive movement with momentum)
**■ Short Entry Conditions:**
* Current price is below the dynamic EMA (indicating downtrend)
* Price has pulled back up toward the EMA (a "sell the rally" setup)
* Pullback is within range (not too deep)
* Candlesticks show consecutive bearish closes and break the previous low
* Price speed is negative (downward momentum confirmed)
**■ Exit Conditions (TP/SL):**
* **Take-Profit (TP):** Fixed 1.5% target above/below entry price
* **Stop-Loss (SL):** Based on recent price volatility, calculated using ATR × 4
💰 **Risk Management Parameters**
* Symbol & Timeframe: BTCUSD on 1-hour chart (H1)
* Test Capital: \$3000 (simulated account)
* Commission: 0.02%
* Slippage: 2 ticks (minimal execution lag)
* Max risk per trade: 5% of account balance
* Backtest Period: Aug 30, 2023 – May 9, 2025
* Profit Factor (PF): 1.965 (Net profit ÷ Net loss, including spreads & fees)
⚙️ **Trading Parameters & Indicator Settings**
* Maximum EMA Length: 50
* Accelerator Multiplier: 3.0
* Pullback Threshold: 5.0%
* ATR Period: 14
* ATR Multiplier (SL distance): 4.0
* Fixed TP: 1.5%
* Short-term EMA: 21
* Long-term EMA: 50
* Long Speed Threshold: ≥ 1000.0 (ticks)
* Short Speed Threshold: ≤ -1000.0 (ticks)
⚠️Adjustments are based on BTCUSD.
⚠️Forex and other currency pairs require separate adjustments.
🔧 **Strategy Improvements & Uniqueness**
Unlike basic moving average crossovers or RSI triggers, this strategy emphasizes **"momentum-supported pullbacks"**.
By combining dynamic EMA, speed checks, and candlestick signals, it captures trades **as if surfing the wave of a trend.**
Its built-in filters help **avoid overextended pullbacks**, which often signal the trend is ending – making it more robust than traditional trend-following systems.
✅ **Summary**
The **EMA Pullback Speed Strategy** is easy to understand, rule-based, and highly reproducible – ideal for both beginners and intermediate traders.
Because it shows **clear visual entry/exit points** on the chart, it’s also a great tool for practicing discretionary trading decisions.
⚠️ Past performance is not a guarantee of future results.
Always respect your Stop-Loss levels and manage your position size according to your risk tolerance.
Close Price - EMA Percentage Difference
Title: Close Price - EMA Percentage Difference Indicator
Description:
The Close Price - EMA Percentage Difference Indicator is an essential tool designed to calculate and display the percentage difference between the closing price of a security and its Exponential Moving Average (EMA). This indicator is particularly useful for traders and analysts who want to understand how far the current price is from its EMA, providing insights into potential price trends and reversals.
Key Features:
Customizable EMA Period: Easily adjust the EMA period to match your trading strategy. Whether you're focusing on short-term trends with a 20-period EMA or analyzing long-term trends with a 200-period EMA, this indicator is flexible to suit your needs.
Percentage Difference Calculation: The indicator computes the percentage difference between the closing price and the selected EMA, allowing you to see how much the current price deviates from its moving average in percentage terms. This calculation helps in identifying potential buying or selling opportunities based on price movements relative to the EMA.
Zero Line Reference: A dotted red line at the zero level is included for quick visual reference. This line helps you instantly identify when the closing price is equal to the EMA, and whether the price is above or below the EMA.
Visual Representation: The percentage difference is plotted on a separate panel below the price chart, providing a clear and intuitive visualization that aids in decision-making.
How to Use:
Adjust the EMA period to fit your analysis or trading strategy.
Observe the percentage difference to understand the strength of the current price in relation to the EMA.
Use the zero line as a reference point to determine whether the price is above (positive values) or below (negative values) the EMA, which can help in identifying overbought or oversold conditions.
This indicator is suitable for all types of traders, from day traders to long-term investors, offering valuable insights into the price dynamics relative to the EMA.
Multi-Timeframe EMA Distance & % Change TableDescription of Multi-Timeframe EMA Distance & % Change Table
The Multi-Timeframe EMA Distance & % Change Table indicator is designed to display the distance and percentage change between the current price and the Exponential Moving Averages (EMAs) on multiple timeframes. It creates a table to show these values, with customizable options for decimal precision .
Key Features:
Inputs:
- Timeframes (tf1, tf2, tf3, tf4): User-defined timeframes for EMA calculations (e.g., 1 minute, 15 minutes, daily, etc.).
- EMA Levels (emaLevel, emaLevel2, emaLevel3): User-defined periods for three different EMAs.
EMA Calculations:
- Computes EMAs for the specified levels (50, 100, 200) on each of the user-selected timeframes.
Plotting:
- Plots the EMAs on the chart with distinct colors: Orange, Teal, and Green for different EMAs.
Display Options:
- Checkbox (displayAsPercentage): Allows the user to toggle between displaying distances or percentage changes.
- Decimal Precision:
- decimalPlacesDistance: Specifies the number of decimal places for rounded distance values.
- decimalPlacesPercentage: Specifies the number of decimal places for rounded percentage values.
Table Creation:
- Location: Table is placed in the top-right corner of the chart.
- Headers: Includes columns for each timeframe and EMA distance/percentage.
Distance and Percentage Calculations:
- Distances: Calculated as the difference between the current price and the EMA values for each timeframe.
- Percentages: Calculated as the distance divided by the EMA value, converted to a percentage.
Decimal Rounding:
- Custom Rounding Function: Ensures that distance and percentage values are displayed with the user-specified number of decimal places.
Color Coding:
- Distance Values: Colored green if positive, red if negative.
- Table Entries: Display either the rounded distance or percentage, based on user selection.
Table Update:
- The table is dynamically updated with either distance or percentage values based on the user's choice and rounded to the specified number of decimal places.
This indicator provides a comprehensive overview of EMA distances and percentage changes across multiple timeframes, with detailed control over the precision of the displayed values.
Fibonacci Adaptive Timeframe EMA (FAT EMA)The "Fibonacci Adaptive Timeframe EMA" is a sophisticated trading indicator designed for the TradingView platform, leveraging the power of Exponential Moving Averages (EMAs) determined by Fibonacci sequence lengths to provide traders with dynamic market insights. This indicator overlays directly on the price chart, offering a unique blend of trend analysis, smoothing techniques, and timeframe adaptability, making it an invaluable tool for traders looking to enhance their technical analysis strategy.
Key Features
1. Fibonacci-Based EMA Lengths: Utilizes the Fibonacci sequence to select EMA lengths, incorporating natural mathematical ratios believed to be significant in financial markets. The available lengths range from 1 to 987, allowing for detailed trend analysis over various periods.
2. Multiple Smoothing Methods: Offers the choice between several smoothing techniques, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA or RMA), Weighted Moving Average (WMA), and Volume Weighted Moving Average (VWMA). This versatility ensures that users can tailor the indicator to suit their analytical preferences.
3. Timeframe Adaptability: Features the ability to fetch and calculate EMAs from different timeframes, providing a multi-timeframe analysis within a single chart view. This adaptability gives traders a broader perspective on market trends, enabling more informed decision-making.
4. Dynamic Visualization Options: Traders can customize the display to suit their analysis needs, including toggling the visibility of Fibonacci EMA lines, EMA prices, and smoothed EMA lines. Additionally, forecast lines can be projected into the future, offering speculative insights based on current trends.
5. Ema Tail Visualization: An innovative feature allowing for the visualization of the 'tail' or the continuation of EMA lines, which can be particularly useful for identifying trend persistence or reversal points.
6. User-friendly Customization: Through a series of input options, traders can easily adjust the source data, Fibonacci lengths, smoothing method, and visual aspects such as line colors and transparency, ensuring a seamless integration into any trading strategy.
Application and Use Cases
The "Fibonacci Adaptive Timeframe EMA" indicator is designed for traders who appreciate the significance of Fibonacci numbers in market analysis and seek a flexible tool to analyze trends across different timeframes. Whether it's for scalping, day trading, or long-term investing, this indicator can provide valuable insights into price dynamics, trend strengths, and potential reversal points. Its adaptability makes it suitable for various asset classes, including stocks, forex, commodities, and cryptocurrencies.
Fibonacci Timeframe Adaptive EMAThe "Fibonacci Timeframe Adaptive EMA" is a sophisticated trading indicator designed for the TradingView platform, leveraging the power of Exponential Moving Averages (EMAs) determined by Fibonacci sequence lengths to provide traders with dynamic market insights. This indicator overlays directly on the price chart, offering a unique blend of trend analysis, smoothing techniques, and timeframe adaptability, making it an invaluable tool for traders looking to enhance their technical analysis strategy.
Key Features
1. Fibonacci-Based EMA Lengths: Utilizes the Fibonacci sequence to select EMA lengths, incorporating natural mathematical ratios believed to be significant in financial markets. The available lengths range from 1 to 987, allowing for detailed trend analysis over various periods.
2. Multiple Smoothing Methods: Offers the choice between several smoothing techniques, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA or RMA), Weighted Moving Average (WMA), and Volume Weighted Moving Average (VWMA). This versatility ensures that users can tailor the indicator to suit their analytical preferences.
3. Timeframe Adaptability: Features the ability to fetch and calculate EMAs from different timeframes, providing a multi-timeframe analysis within a single chart view. This adaptability gives traders a broader perspective on market trends, enabling more informed decision-making.
4. Dynamic Visualization Options: Traders can customize the display to suit their analysis needs, including toggling the visibility of Fibonacci EMA lines, EMA prices, and smoothed EMA lines. Additionally, forecast lines can be projected into the future, offering speculative insights based on current trends.
5. Ema Tail Visualization: An innovative feature allowing for the visualization of the 'tail' or the continuation of EMA lines, which can be particularly useful for identifying trend persistence or reversal points.
6. User-friendly Customization: Through a series of input options, traders can easily adjust the source data, Fibonacci lengths, smoothing method, and visual aspects such as line colors and transparency, ensuring a seamless integration into any trading strategy.
Application and Use Cases
The "Fibonacci Timeframe Adaptive EMA" indicator is designed for traders who appreciate the significance of Fibonacci numbers in market analysis and seek a flexible tool to analyze trends across different timeframes. Whether it's for scalping, day trading, or long-term investing, this indicator can provide valuable insights into price dynamics, trend strengths, and potential reversal points. Its adaptability makes it suitable for various asset classes, including stocks, forex, commodities, and cryptocurrencies.
Long EMA Strategy with Advanced Exit OptionsThis strategy is designed for traders seeking a trend-following system with a focus on precision and adaptability.
**Core Strategy Concept**
The essence of this strategy lies in use of Exponential Moving Averages (EMAs) to identify potential long (buy) positions based on the relative positions of short-term, medium-term, and long-term EMAs. The use of EMAs is a classic yet powerful approach to trend detection, as these indicators smooth out price data over time, emphasizing the direction of recent price movements and potentially signaling the beginning of new trends.
**Customizable Parameters**
- **EMA Periods**: Users can define the periods for three EMAs - long-term, medium-term, and short-term - allowing for a tailored approach to capture trends based on individual trading styles and market conditions.
- **Volatility Filter**: An optional Average True Range (ATR)-based volatility filter can be toggled on or off. When activated, it ensures that trades are only entered when market volatility exceeds a user-defined threshold, aiming to filter out entries during low-volatility periods which are often characterized by indecisive market movements.
- **Trailing Stop Loss**: A trailing stop loss mechanism, expressed as a percentage of the highest price achieved since entry, provides a dynamic way to manage risk by allowing profits to run while cutting losses.
- **EMA Exit Condition**: This advanced exit option enables closing positions when the short-term EMA crosses below the medium-term EMA, serving as a signal that the immediate trend may be reversing.
- **Close Below EMA Exit**: An additional exit condition, which is disabled by default, allows positions to be closed if the price closes below a user-selected EMA. This provides an extra layer of flexibility and risk management, catering to traders who prefer to exit positions based on specific EMA thresholds.
**Operational Mechanics**
Upon activation, the strategy evaluates the current price in relation to the set EMAs. A long position is considered when the current price is above the long-term EMA, and the short-term EMA is above the medium-term EMA. This setup aims to identify moments where the price momentum is strong and likely to continue.
The strategy's versatility is further enhanced by its optional settings:
- The **Volatility Filter** adjusts the sensitivity of the strategy to market movements, potentially improving the quality of the entries during volatile market conditions.
The Average True Range (ATR) is a key component of this filter, providing a measure of market volatility by calculating the average range between the high and low prices over a specified number of periods. Here's how you can adjust the volatility filter settings for various market conditions, focusing on filtering out low-volatility markets:
Setting Examples for Volatility Filter
1. High Volatility Markets (e.g., Cryptocurrencies, Certain Forex Pairs):
ATR Periods: 14 (default)
ATR Multiplier: Setting the multiplier to a lower value, such as 1.0 or 1.2, can be beneficial in high-volatility markets. This sensitivity allows the strategy to react to volatility changes more quickly, ensuring that you're entering trades during periods of significant movement.
2. Medium Volatility Markets (e.g., Major Equity Indices, Medium-Volatility Forex Pairs):
ATR Periods: 14 (default)
ATR Multiplier: A multiplier of 1.5 (default) is often suitable for medium volatility markets. It provides a balanced approach, ensuring that the strategy filters out low-volatility conditions without being overly restrictive.
3. Low Volatility Markets (e.g., Some Commodities, Low-Volatility Forex Pairs):
ATR Periods: Increasing the ATR period to 20 or 25 can smooth out the volatility measure, making it less sensitive to short-term fluctuations. This adjustment helps in focusing on more significant trends in inherently stable markets.
ATR Multiplier: Raising the multiplier to 2.0 or even 2.5 increases the threshold for volatility, effectively filtering out low-volatility conditions. This setting ensures that the strategy only triggers trades during periods of relatively higher volatility, which are more likely to result in significant price movements.
How to Use the Volatility Filter for Low-Volatility Markets
For traders specifically interested in filtering out low-volatility markets, the key is to adjust the ATR Multiplier to a higher level. This adjustment increases the threshold required for the market to be considered sufficiently volatile for trade entries. Here's a step-by-step guide:
Adjust the ATR Multiplier: Increase the ATR Multiplier to create a higher volatility threshold. A multiplier of 2.0 to 2.5 is a good starting point for very low-volatility markets.
Fine-Tune the ATR Periods: Consider lengthening the ATR calculation period if you find that the strategy is still entering trades in undesirable low-volatility conditions. A longer period provides a more averaged-out measure of volatility, which might better suit your needs.
Monitor and Adjust: Volatility is not static, and market conditions can change. Regularly review the performance of your strategy in the context of current market volatility and adjust the settings as necessary.
Backtest in Different Conditions: Before applying the strategy live, backtest it across different market conditions with your adjusted settings. This process helps ensure that your approach to filtering low-volatility conditions aligns with your trading objectives and risk tolerance.
By fine-tuning the volatility filter settings according to the specific characteristics of the market you're trading in, you can enhance the performance of this strategy
- The **Trailing Stop Loss** and **EMA Exit Conditions** provide two layers of exit strategies, focusing on capital preservation and profit maximization.
**Visualizations**
For clarity and ease of use, the strategy plots the three EMAs and, if enabled, the ATR threshold on the chart. These visual cues not only aid in decision-making but also help in understanding the market's current trend and volatility state.
**How to Use**
Traders can customize the EMA periods to fit their trading horizon, be it short, medium, or long-term trading. The volatility filter and exit options allow for further customization, making the strategy adaptable to different market conditions and personal risk tolerance levels.
By offering a blend of trend-following principles with advanced risk management features, this strategy aims to cater to a wide range of trading styles, from cautious to aggressive. Its strength lies in its flexibility, allowing traders to fine-tune settings to their specific needs, making it a potentially valuable tool in the arsenal of any trader looking for a disciplined approach to navigating the markets.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
Gauti Market Maker Killzone EMA1. Identifying the Trend
Use Daily (1D) and Hourly (1H) Exponential Moving Averages (EMAs) to define the overall trend:
Bullish Trend: Both 1D and 1H EMAs are upward sloping, and the price is above these EMAs.
Bearish Trend: Both 1D and 1H EMAs are downward sloping, and the price is below these EMAs.
2. Confirmation with Higher Timeframes
Bullish Conditions:
Check 1D and 4H charts for price action above the EMA bands.
Look for price forming higher highs and higher lows or respecting support at the EMA bands.
Bearish Conditions:
Check 1D and 4H charts for price action below the EMA bands.
Look for price forming lower highs and lower lows or respecting resistance at the EMA bands.
Note: Crossover of EMAs on higher timeframes is an optional extra confirmation, but not mandatory for entry.
3. Entry Strategy
Use the 15-Minute (15M) timeframe for entries.
Entries are taken only during Killzones:
Killzones: London Open, New York Open, or other intraday key trading sessions. (Define the time ranges for these zones based on your trading hours.)
Wait for the price to touch or pull back to the EMA band during the Killzones in the direction of the overall trend:
In a bullish trend, enter long when the price touches the EMA band and shows signs of rejection or reversal.
In a bearish trend, enter short when the price touches the EMA band and shows signs of rejection or reversal.
4. Checklist for Entry
Confirm the following before entering:
1D Trend aligns with the 1H Trend.
Price Action in 1D and 4H supports the trend.
Killzone session is active.
Price is reacting to the EMA band on the 15M chart in the trend direction.
DNSE VN301!, SMA & EMA Cross StrategyDiscover the tailored Pinescript to trade VN30F1M Future Contracts intraday, the strategy focuses on SMA & EMA crosses to identify potential entry/exit points. The script closes all positions by 14:25 to avoid holding any contracts overnight.
HNX:VN301!
www.tradingview.com
Setting & Backtest result:
1-minute chart, initial capital of VND 100 million, entering 4 contracts per time, backtest result from Jan-2024 to Nov-2024 yielded a return over 40%, executed over 1,000 trades (average of 4 trades/day), winning trades rate ~ 30% with a profit factor of 1.10.
The default setting of the script:
A decent optimization is reached when SMA and EMA periods are set to 60 and 15 respectively while the Long/Short stop-loss level is set to 20 ticks (2 points) from the entry price.
Entry & Exit conditions:
Long signals are generated when ema(15) crosses over sma(60) while Short signals happen when ema(15) crosses under sma(60). Long orders are closed when ema(15) crosses under sma(60) while Short orders are closed when ema(15) crosses over sma(60).
Exit conditions happen when (whichever came first):
Another Long/Short signal is generated
The Stop-loss level is reached
The Cut-off time is reached (14:25 every day)
*Disclaimers:
Futures Contracts Trading are subjected to a high degree of risk and price movements can fluctuate significantly. This script functions as a reference source and should be used after users have clearly understood how futures trading works, accessed their risk tolerance level, and are knowledgeable of the functioning logic behind the script.
Users are solely responsible for their investment decisions, and DNSE is not responsible for any potential losses from applying such a strategy to real-life trading activities. Past performance is not indicative/guarantee of future results, kindly reach out to us should you have specific questions about this script.
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Khám phá Pinescript được thiết kế riêng để giao dịch Hợp đồng tương lai VN30F1M trong ngày, chiến lược tập trung vào các đường SMA & EMA cắt nhau để xác định các điểm vào/ra tiềm năng. Chiến lược sẽ đóng tất cả các vị thế trước 14:25 để tránh giữ bất kỳ hợp đồng nào qua đêm.
Thiết lập & Kết quả backtest:
Chart 1 phút, vốn ban đầu là 100 triệu đồng, vào 4 hợp đồng mỗi lần, kết quả backtest từ tháng 1/2024 tới tháng 11/2024 mang lại lợi nhuận trên 40%, thực hiện hơn 1.000 giao dịch (trung bình 4 giao dịch/ngày), tỷ lệ giao dịch thắng ~ 30% với hệ số lợi nhuận là 1,10.
Thiết lập mặc định của chiến lược:
Đạt được một mức tối ưu ổn khi SMA và EMA periods được đặt lần lượt là 60 và 15 trong khi mức cắt lỗ được đặt thành 20 tick (2 điểm) từ giá vào.
Điều kiện Mở và Đóng vị thế:
Tín hiệu Long được tạo ra khi ema(15) cắt trên sma(60) trong khi tín hiệu Short xảy ra khi ema(15) cắt dưới sma(60). Lệnh Long được đóng khi ema(15) cắt dưới sma(60) trong khi lệnh Short được đóng khi ema(15) cắt lên sma(60).
Điều kiện đóng vị thể xảy ra khi (tùy điều kiện nào đến trước):
Một tín hiệu Long/Short khác được tạo ra
Giá chạm mức cắt lỗ
Lệnh chưa đóng nhưng tới giờ cut-off (14:25 hàng ngày)
*Tuyên bố miễn trừ trách nhiệm:
Giao dịch hợp đồng tương lai có mức rủi ro cao và giá có thể dao động đáng kể. Chiến lược này hoạt động như một nguồn tham khảo và nên được sử dụng sau khi người dùng đã hiểu rõ cách thức giao dịch hợp đồng tương lai, đã đánh giá mức độ chấp nhận rủi ro của bản thân và hiểu rõ về logic vận hành của chiến lược này.
Người dùng hoàn toàn chịu trách nhiệm về các quyết định đầu tư của mình và DNSE không chịu trách nhiệm về bất kỳ khoản lỗ tiềm ẩn nào khi áp dụng chiến lược này vào các hoạt động giao dịch thực tế. Hiệu suất trong quá khứ không chỉ ra/cam kết kết quả trong tương lai, vui lòng liên hệ với chúng tôi nếu bạn có thắc mắc cụ thể về chiến lược giao dịch này.
