ALGOX V6 Best Buy Sell Indicator..............
The buy-sell indicator on TradingView helps traders identify trends and make trading decisions:
Trend direction
The indicator uses a combination of volatility and SMA to determine the trend's strength and direction. Channels are color-coded to indicate the trend: green for uptrend and orange for downtrend.
Buy and sell signals
The indicator generates buy signals when bullish conditions align with oversold RSI levels, and sell signals when bearish conditions align with overbought RSI levels.
Exit signals
The indicator provides optional exit points for long and short positions.
지표 및 전략
Adaptive Trend Flow Strategy with Filters for SPXThe Adaptive Trend Flow Strategy with Filters for SPX is a complete trading algorithm designed to identify traits and offer actionable alerts for the SPX index. This Pine Script approach leverages superior technical signs and user-described parameters to evolve to marketplace conditions and optimize performance.
Key Features and Functionality
Dynamic Trend Detection: Utilizes a dual EMA-based totally adaptive method for fashion calculation.
The script smooths volatility the usage of an EMA filter and adjusts sensitivity through the sensitivity enter. This allows for real-time adaptability to market fluctuations.
Trend Filters for Precision:
SMA Filter: A Simple Moving Average (SMA) guarantees that trades are achieved best while the rate aligns with the shifting average trend, minimizing false indicators.
MACD Filter: The Moving Average Convergence Divergence (MACD) adds some other layer of confirmation with the aid of requiring alignment among the MACD line and its sign line.
Signal Generation:
Long Signals: Triggered when the fashion transitions from bearish to bullish, with all filters confirming the pass.
Short Signals: Triggered while the trend shifts from bullish to bearish, imparting opportunities for final positions.
User Customization:
Adjustable parameters for EMAs, smoothing duration, and sensitivity make certain the strategy can adapt to numerous buying and selling patterns.
Enable or disable filters (SMA or MACD) based totally on particular market conditions or consumer possibilities.
Leverage and Position Sizing: Incorporates a leverage aspect for dynamic position sizing.
Automatically calculates the exchange length based on account fairness and the leverage element, making sure hazard control is in area.
Visual Enhancements: Plots adaptive fashion ranges (foundation, top, decrease) for actual-time insights into marketplace conditions.
Color-coded bars and heritage to visually represent bullish or bearish developments.
Custom labels indicating crossover and crossunder occasions for clean sign visualization.
Alerts and Automation: Configurable alerts for each lengthy and quick indicators, well matched with automated buying and selling structures like plugpine.Com.
JSON-based alert messages consist of account credentials, motion type, and calculated position length for seamless integration.
Backtesting and Realistic Assumptions: Includes practical slippage, commissions, and preliminary capital settings for backtesting accuracy.
Leverages excessive-frequency trade sampling to make certain strong strategy assessment.
How It Works
Trend Calculation: The method derives a principal trend basis with the aid of combining fast and gradual EMAs. It then uses marketplace volatility to calculate adaptive upper and decrease obstacles, creating a dynamic channel.
Filter Integration: SMA and MACD filters work in tandem with the fashion calculation to ensure that handiest excessive-probability signals are accomplished.
Signal Execution: Signals are generated whilst the charge breaches those dynamic tiers and aligns with the fashion and filters, ensuring sturdy change access situations.
How to Use
Setup: Apply the approach to SPX or other well suited indices.
Adjust person inputs, together with ATR length, EMA smoothing, and sensitivity, to align together with your buying and selling possibilities.
Enable or disable the SMA and MACD filters to test unique setups.
Alerts: Configure signals for computerized notifications or direct buying and selling execution through third-celebration systems.
Use the supplied JSON payload to integrate with broking APIs or automation tools.
Optimization:
Experiment with leverage, filter out settings, and sensitivity to find most effective configurations to your hazard tolerance and marketplace situations.
Considerations and Best Practices
Risk Management: Always backtest the method with realistic parameters, together with conservative leverage and commissions.
Market Suitability: While designed for SPX, this method can adapt to other gadgets by means of adjusting key parameters.
Limitations: The method is trend-following and can underperform in enormously risky or ranging markets. Regularly evaluate and modify parameters primarily based on recent market conduct.
If you have any questions please let me know - I'm here to help!
High-Frequency EMA Scalping Strategy for CryptoThe High-Frequency EMA Scalping Strategy is designed for active traders who seek frequent trading opportunities. This strategy uses fast EMA crossovers with dynamic ATR-based stop-loss and take-profit levels to capture short-term trends in high-volatility markets.
Features:
Fast EMAs: Short EMA lengths (default: 3 and 8) provide rapid signals for high-frequency trading.
Dynamic Position Sizing: Risk is dynamically managed using ATR and account equity for consistent risk across trades.
Scalping Logic: Tight stop-loss and reward settings enable quick exits and multiple trades per session.
How to Use:
Apply the script to a chart with a 1-minute or 5-minute timeframe for maximum trade frequency.
Optimize parameters for specific assets and market conditions.
Use dynamic or fixed position sizing based on your preference.
Disclaimer: Past performance is not indicative of future results. Use this strategy at your own risk and adjust parameters for live trading.
BullBear with Volume-Percentile TP - Strategy [presentTrading] Happy New Year, everyone! I hope we have a fantastic year ahead.
It's been a while since I published an open script, but it's time to return.
This strategy introduces an indicator called Bull Bear Power, combined with an advanced take-profit system, which is the main innovative and educational aspect of this script. I hope all of you find some useful insights here. Welcome to engage in meaningful exchanges. This is a versatile tool suitable for both novice and experienced traders.
█ Introduction and How it is Different
Unlike traditional strategies that rely solely on price or volume indicators, this approach combines Bull Bear Power (BBP) with volume percentile analysis to identify optimal entry and exit points. It features a dynamic take-profit mechanism based on ATR (Average True Range) multipliers adjusted by volume and percentile factors, ensuring adaptability to diverse market conditions. This multifaceted strategy not only improves signal accuracy but also optimizes risk management, distinguishing it from conventional trading methods.
BTCUSD 6hr performance
Disable the visualization of Bull Bear Power (BBP) to clearly view the Z-Score.
█ Strategy, How it Works: Detailed Explanation
The BBP Strategy with Volume-Percentile TP utilizes several interconnected components to analyze market data and generate trading signals. Here's an overview with essential equations:
🔶 Core Indicators and Calculations
1. Exponential Moving Average (EMA):
- **Purpose:** Smoothens price data to identify trends.
- **Formula:**
EMA_t = (Close_t * (2 / (lengthInput + 1))) + (EMA_(t-1) * (1 - (2 / (lengthInput + 1))))
- Usage: Baseline for Bull and Bear Power.
2. Bull and Bear Power:
- Bull Power: `BullPower = High_t - EMA_t`
- Bear Power: `BearPower = Low_t - EMA_t`
- BBP:** `BBP = BullPower + BearPower`
- Interpretation: Positive BBP indicates bullish strength, negative indicates bearish.
3. Z-Score Calculation:
- Purpose: Normalizes BBP to assess deviation from the mean.
- Formula:
Z-Score = (BBP_t - bbp_mean) / bbp_std
- Components:
- `bbp_mean` = SMA of BBP over `zLength` periods.
- `bbp_std` = Standard deviation of BBP over `zLength` periods.
- Usage: Identifies overbought or oversold conditions based on thresholds.
🔶 Volume Analysis
1. Volume Moving Average (`vol_sma`):
vol_sma = (Volume_1 + Volume_2 + ... + Volume_vol_period) / vol_period
2. Volume Multiplier (`vol_mult`):
vol_mult = Current Volume / vol_sma
- Thresholds:
- High Volume: `vol_mult > 2.0`
- Medium Volume: `1.5 < vol_mult ≤ 2.0`
- Low Volume: `1.0 < vol_mult ≤ 1.5`
🔶 Percentile Analysis
1. Percentile Calculation (`calcPercentile`):
Percentile = (Number of values ≤ Current Value / perc_period) * 100
2. Thresholds:
- High Percentile: >90%
- Medium Percentile: >80%
- Low Percentile: >70%
🔶 Dynamic Take-Profit Mechanism
1. ATR-Based Targets:
TP1 Price = Entry Price ± (ATR * atrMult1 * TP_Factor)
TP2 Price = Entry Price ± (ATR * atrMult2 * TP_Factor)
TP3 Price = Entry Price ± (ATR * atrMult3 * TP_Factor)
- ATR Calculation:
ATR_t = (True Range_1 + True Range_2 + ... + True Range_baseAtrLength) / baseAtrLength
2. Adjustment Factors:
TP_Factor = (vol_score + price_score) / 2
- **vol_score** and **price_score** are based on current volume and price percentiles.
Local performance
🔶 Entry and Exit Logic
1. Long Entry: If Z-Score crosses above 1.618, then Enter Long.
2. Short Entry: If Z-Score crosses below -1.618, then Enter Short.
3. Exiting Positions:
If Long and Z-Score crosses below 0:
Exit Long
If Short and Z-Score crosses above 0:
Exit Short
4. Take-Profit Execution:
- Set multiple exit orders at dynamically calculated TP levels based on ATR and adjusted by `TP_Factor`.
█ Trade Direction
The strategy determines trade direction using the Z-Score from the BBP indicator:
- Long Positions:
- Condition: Z-Score crosses above 1.618.
- Short Positions:
- Condition: Z-Score crosses below -1.618.
- Exiting Trades:
- Long Exit: Z-Score drops below 0.
- Short Exit: Z-Score rises above 0.
This approach aligns trades with prevailing market trends, increasing the likelihood of successful outcomes.
█ Usage
Implementing the BBP Strategy with Volume-Percentile TP in TradingView involves:
1. Adding the Strategy:
- Copy the Pine Script code.
- Paste it into TradingView's Pine Editor.
- Save and apply the strategy to your chart.
2. Configuring Settings:
- Adjust parameters like EMA length, Z-Score thresholds, ATR multipliers, volume periods, and percentile settings to match your trading preferences and asset behavior.
3. Backtesting:
- Use TradingView’s backtesting tools to evaluate historical performance.
- Analyze metrics such as profit factor, drawdown, and win rate.
4. Optimization:
- Fine-tune parameters based on backtesting results.
- Test across different assets and timeframes to enhance adaptability.
5. Deployment:
- Apply the strategy in a live trading environment.
- Continuously monitor and adjust settings as market conditions change.
█ Default Settings
The BBP Strategy with Volume-Percentile TP includes default parameters designed for balanced performance across various markets. Understanding these settings and their impact is essential for optimizing strategy performance:
Bull Bear Power Settings:
- EMA Length (`lengthInput`): 21
- **Effect:** Balances sensitivity and trend identification; shorter lengths respond quicker but may generate false signals.
- Z-Score Length (`zLength`): 252
- **Effect:** Long period for stable mean and standard deviation, reducing false signals but less responsive to recent changes.
- Z-Score Threshold (`zThreshold`): 1.618
- **Effect:** Higher threshold filters out weaker signals, focusing on significant market moves.
Take Profit Settings:
- Use Take Profit (`useTP`): Enabled (`true`)
- **Effect:** Activates dynamic profit-taking, enhancing profitability and risk management.
- ATR Period (`baseAtrLength`): 20
- **Effect:** Shorter period for sensitive volatility measurement, allowing tighter profit targets.
- ATR Multipliers:
- **Effect:** Define conservative to aggressive profit targets based on volatility.
- Position Sizes:
- **Effect:** Diversifies profit-taking across multiple levels, balancing risk and reward.
Volume Analysis Settings:
- Volume MA Period (`vol_period`): 100
- **Effect:** Longer period for stable volume average, reducing the impact of short-term spikes.
- Volume Multipliers:
- **Effect:** Determines volume conditions affecting take-profit adjustments.
- Volume Factors:
- **Effect:** Adjusts ATR multipliers based on volume strength.
Percentile Analysis Settings:
- Percentile Period (`perc_period`): 100
- **Effect:** Balances historical context with responsiveness to recent data.
- Percentile Thresholds:
- **Effect:** Defines price and volume percentile levels influencing take-profit adjustments.
- Percentile Factors:
- **Effect:** Modulates ATR multipliers based on price percentile strength.
Impact on Performance:
- EMA Length: Shorter EMAs increase sensitivity but may cause more false signals; longer EMAs provide stability but react slower to market changes.
- Z-Score Parameters:*Longer Z-Score periods create more stable signals, while higher thresholds reduce trade frequency but increase signal reliability.
- ATR Multipliers and Position Sizes: Higher multipliers allow for larger profit targets with increased risk, while diversified position sizes help in securing profits at multiple levels.
- Volume and Percentile Settings: These adjustments ensure that take-profit targets adapt to current market conditions, enhancing flexibility and performance across different volatility environments.
- Commission and Slippage: Accurate settings prevent overestimation of profitability and ensure the strategy remains viable after accounting for trading costs.
Conclusion
The BBP Strategy with Volume-Percentile TP offers a robust framework by combining BBP indicators with volume and percentile analyses. Its dynamic take-profit mechanism, tailored through ATR adjustments, ensures that traders can effectively capture profits while managing risks in varying market conditions.
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.
Hull Suite by MRS**Hull Suite by MRS Strategy Indicator**
The Hull Suite by MRS Strategy is a technical analysis tool designed to provide insights into market trends using variations of the Hull Moving Average (HMA). This strategy aims to help traders identify optimal entry points for both long and short positions by utilizing multiple types of Hull-based indicators.
### Key Features:
1. **Hull Moving Average Variations**: The indicator offers three different Hull Moving Average variants:
- **HMA (Hull Moving Average)**: A fast-moving average that minimizes lag and reacts quickly to price changes.
- **EHMA (Enhanced Hull Moving Average)**: A smoother version of HMA with reduced noise, offering a clearer view of market trends.
- **THMA (Triple Hull Moving Average)**: A more complex Hull average that aims to provide a stronger confirmation of trend direction.
2. **Customizable Parameters**:
- **Source Selection**: Allows traders to choose the source for calculation (e.g., closing prices).
- **Length**: A configurable parameter to adjust the period over which the moving average is calculated (e.g., 55-period for swing entries).
- **Trend Coloring**: Users can enable automatic color-coding of the Hull moving average to reflect whether the market is in an uptrend (green) or downtrend (red).
- **Candle Color**: Option to color candles based on Hull's trend, further improving the visual clarity of trend direction.
3. **Entry and Exit Signals**:
- **Buy Signal**: Generated when the Hull moving average crosses above its historical value, indicating a potential upward price movement.
- **Sell Signal**: Triggered when the Hull moving average crosses below its historical value, signaling a potential downward price movement.
- The strategy can be customized to work with long, short, or both directions, making it adaptable for various market conditions.
4. **Visual Representation**:
- **Hull Bands**: The indicator can plot the Hull moving average as bands, with customizable transparency to suit individual preferences.
- **Band Filler**: The area between the two Hull moving averages is filled, making it easier to identify trends at a glance.
5. **Backtesting and Strategy Execution**: This strategy can be tested on historical data with adjustable backtest start and stop dates, providing traders with a better understanding of its performance before live trading.
### Purpose:
The Hull Suite by MRS Strategy is designed to assist traders in determining the optimal time to enter and exit the market based on robust Hull moving averages. With its flexibility, it can be used for trend-following, swing trading, or other strategic applications.
CM_SlingShotSystem - StrategyThis TradingView strategy, titled "SlingShotSystem Enhanced v5," is designed to identify potential trading opportunities based on the interaction between a fast (38-period) and slow (62-period) Exponential Moving Average (EMA). It primarily aims to capitalize on trend pullbacks and breakouts.
Key Features:
Trend Identification: Uses the relationship between the fast and slow EMAs to determine the prevailing trend (uptrend or downtrend).
Entry Signals: Generates buy signals (long entry) when the price crosses above the fast EMA during an uptrend and sell signals (short entry) when the price crosses below the fast EMA during a downtrend. These are considered "conservative" entry points.
Visual Cues: Highlights potential "aggressive" entry bars during pullbacks to the fast EMA (yellow bars) and "conservative" entry bars (aqua bars) for visual confirmation. Optionally displays trend arrows and "B"/"S" letters at entry points.
Risk Management:
Stop-Loss: Allows for a percentage-based stop-loss order to limit potential losses.
Take-Profit: Allows for a percentage-based take-profit order to lock in gains.
Trailing Stop: Implements an ATR-based trailing stop to dynamically adjust the stop-loss level as the price moves favorably, helping to protect profits and ride trends.
Exit Logic: Closes existing positions when opposite entry signals are generated or when stop-loss, take-profit, or trailing stop levels are hit.
4Vietnamese 3x SupertrendThis strategy attempts to capture long positions in the Vietnamese stock market using a combination of three Supertrend indicators and additional filters. It utilizes pyramiding to enter up to three long positions with a 33.33% allocation each.
Key Elements:
Supertrend Indicators: Three Supertrend indicators are used with different lengths and multipliers to identify potential trend changes.
Entry Conditions:
The strategy looks for a downtrend on the slowest Supertrend (Supertrend3) followed by uptrends on the medium (Supertrend2) and fast (Supertrend1) Supertrends.
Alternatively, if Supertrend3 is still downtrending, but Supertrend1 is downtrending and a significant previous high (highestGreen) exists, an entry signal is generated.
An optional filter allows using the highest of the last two red candles for highestGreen calculation.
Entry Stop Loss:
An optional stop loss can be set based on the entry price of previous long positions, preventing further losses if the price falls below entry prices.
Exit Conditions:
Three exit options are available:
- All Downtrend Exit: Close all positions if all Supertrends turn uptrend and a bearish candlestick pattern (close price lower than open price) is formed.
- Average Price in Loss Exit: Close all positions if the average entry price of open positions is higher than the current closing price (indicating a loss).
- All Positions in Loss Exit: Close all positions if any of the following conditions are met:
A single open position exists, and its entry price is higher than the current close price.
Two open positions exist, and their entry prices are both higher than the current close price.
Three open positions exist, and their entry prices are all higher than the current close price.
Pyramiding: The strategy allows entering up to three long positions with a fixed allocation of 33.33% each.
Customization Options:
The strategy provides various input parameters to customize its behavior:
Supertrend lengths and multipliers for each indicator.
Option to use the highest of the last two red candles for highestGreen calculation.
Enabling/disabling Entry Stop Loss and different exit conditions.
Further Enhancements:
Explore additional entry and exit filters to refine trade signals.
Consider incorporating risk management techniques like position sizing and trailing stops.
Backtest the strategy with historical data to evaluate its effectiveness and identify potential areas for improvement.
Strategia Ritracciamento 75% (RR 1:10)Identifica candele di rottura:
Riconosce candele che rompono la precedente con un corpo chiaro e un rigetto (wick).
Calcola il 75%:
Determina il livello del 75% per la candela di rottura.
Conferma ritracciamento:
Controlla se il prezzo torna al livello del 75% e genera una chiusura sopra/sotto quel livello.
Gestisce Stop Loss e Take Profit:
Calcola lo stop loss (minimo/massimo della candela di rottura).
Calcola il take profit basato su un rapporto rischio/rendimento definito.
Fibonacci Retracement Strategy for CryptoThe Enhanced Fibonacci Retracement Strategy is designed to help traders capitalize on key Fibonacci levels for both long and short trades. This script automatically identifies significant swing highs and lows within a customizable lookback period and dynamically plots Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%) as support and resistance levels.
Key Features:
Automatic Fibonacci Levels:
The script identifies the highest high and lowest low over a user-defined lookback period to calculate Fibonacci retracement levels.
Dual-Directional Trading:
Long Trades: Triggered when the price crosses above the 61.8% retracement level, anticipating a reversal.
Short Trades: Triggered when the price crosses below the 38.2% retracement level, capturing potential downward movement.
Compact Line Option:
Users can toggle "Compact Fibonacci Lines" to reduce visual clutter on the chart, making the lines shorter and easier to interpret.
Dynamic Alerts:
Alerts are embedded directly into the strategy logic for entry and exit points.
Long Entry: Triggered when the price bounces above the 61.8% level.
Long Exit: Triggered when the price reaches the 23.6% level.
Short Entry: Triggered when the price crosses below the 38.2% level.
Short Exit: Triggered when the price reaches the 78.6% level.
Clear Visualization:
Fibonacci levels are plotted with distinct colors and dashed lines (optional compact view),
providing traders with clear and actionable levels to make decisions.
Inputs:
Lookback Period: Number of candles to calculate swing highs and lows.
Plot Fibonacci Levels: Toggle to enable/disable plotting levels.
Compact Fibonacci Lines: Reduce the length of Fibonacci lines for a cleaner chart.
How It Works:
The strategy identifies a high-low range within the lookback period.
Fibonacci levels are calculated based on the range and plotted on the chart.
Long Trade Example:
Enter when the price crosses above the 61.8% level.
Exit when the price reaches the 23.6% level.
Short Trade Example:
Enter when the price crosses below the 38.2% level.
Exit when the price reaches the 78.6% level.
Best Use Cases:
Trending Markets: Use retracements to time entries in the direction of the trend.
Range-Bound Markets: Identify and trade reversals near key Fibonacci levels.
Important Notes:
This strategy is not financial advice and should be backtested thoroughly before live trading.
Risk management is crucial! Consider using stop-loss orders for protection.
Customize inputs to suit your preferred timeframe and trading style.
Limit order strategyThe Adaptive Trend Flow Strategy with Filters for SPX is a complete trading algorithm designed to identify traits and offer actionable alerts for the SPX index. This Pine Script approach leverages superior technical signs and user-described parameters to evolve to marketplace conditions and optimize performance.
Key Features and Functionality
Dynamic Trend Detection: Utilizes a dual EMA-based totally adaptive method for fashion calculation.
The script smooths volatility the usage of an EMA filter and adjusts sensitivity through the sensitivity enter. This allows for real-time adaptability to market fluctuations.
Trend Filters for Precision:
SMA Filter: A Simple Moving Average (SMA) guarantees that trades are achieved best while the rate aligns with the shifting average trend, minimizing false indicators.
MACD Filter: The Moving Average Convergence Divergence (MACD) adds some other layer of confirmation with the aid of requiring alignment among the MACD line and its sign line.
Signal Generation:
Long Signals: Triggered when the fashion transitions from bearish to bullish, with all filters confirming the pass.
Short Signals: Triggered while the trend shifts from bullish to bearish, imparting opportunities for final positions.
User Customization:
Adjustable parameters for EMAs, smoothing duration, and sensitivity make certain the strategy can adapt to numerous buying and selling patterns.
Enable or disable filters (SMA or MACD) based totally on particular market conditions or consumer possibilities.
Leverage and Position Sizing: Incorporates a leverage aspect for dynamic position sizing.
Automatically calculates the exchange length based on account fairness and the leverage element, making sure hazard control is in area.
Visual Enhancements: Plots adaptive fashion ranges (foundation, top, decrease) for actual-time insights into marketplace conditions.
Color-coded bars and heritage to visually represent bullish or bearish developments.
Custom labels indicating crossover and crossunder occasions for clean sign visualization.
Alerts and Automation: Configurable alerts for each lengthy and quick indicators, well matched with automated buying and selling structures like plugpine.Com.
JSON-based alert messages consist of account credentials, motion type, and calculated position length for seamless integration.
Backtesting and Realistic Assumptions: Includes practical slippage, commissions, and preliminary capital settings for backtesting accuracy.
Leverages excessive-frequency trade sampling to make certain strong strategy assessment.
How It Works
Trend Calculation: The method derives a principal trend basis with the aid of combining fast and gradual EMAs. It then uses marketplace volatility to calculate adaptive upper and decrease obstacles, creating a dynamic channel.
Filter Integration: SMA and MACD filters work in tandem with the fashion calculation to ensure that handiest excessive-probability signals are accomplished.
Signal Execution: Signals are generated whilst the charge breaches those dynamic tiers and aligns with the fashion and filters, ensuring sturdy change access situations.
How to Use
Setup: Apply the approach to SPX or other well suited indices.
Adjust person inputs, together with ATR length, EMA smoothing, and sensitivity, to align together with your buying and selling possibilities.
Enable or disable the SMA and MACD filters to test unique setups.
Alerts: Configure signals for computerized notifications or direct buying and selling execution through third-celebration systems.
Use the supplied JSON payload to integrate with broking APIs or automation tools.
Optimization:
Experiment with leverage, filter out settings, and sensitivity to find most effective configurations to your hazard tolerance and marketplace situations.
Considerations and Best Practices
Risk Management: Always backtest the method with realistic parameters, together with conservative leverage and commissions.
Market Suitability: While designed for SPX, this method can adapt to other gadgets by means of adjusting key parameters.
Limitations: The method is trend-following and can underperform in
Advanced Options Trade StrategyTo read the script, focus on these key parts:
Strategy Name and Inputs – The script starts by defining the strategy name and input settings for RSI, moving averages, ATR, and volume thresholds.
Calculations – It calculates RSI, moving averages, and ATR to analyze price movement.
Trade Signals – The script checks for bullish (buy) or bearish (sell) conditions using RSI, moving averages, and volume.
Plotting – Moving averages and trade signals are plotted directly on the chart for visualization.
Buy/Sell Labels – Labels appear on the chart showing exact strike prices for call and put options.
Alerts – Alerts notify you when a buy or sell condition is met.
Entry Logic – The strategy automatically enters trades when conditions are triggered.
Scalping Strategy RSI & ADX### Description: Scalping Strategy Using RSI & ADX
This Pine Script implements a scalping strategy that leverages the Relative Strength Index (RSI) and the Average Directional Index (ADX) to identify short-term trading opportunities. The strategy is designed for traders who aim to profit from quick price movements in highly volatile markets.
#### Key Components:
1. **RSI (Relative Strength Index):**
- RSI is used to identify overbought and oversold conditions in the market.
- If RSI is below the oversold level (default: 30), the script generates a buy signal.
- If RSI is above the overbought level (default: 70), the script generates a sell signal.
2. **ADX (Average Directional Index):**
- ADX measures the strength of a trend.
- The script only triggers buy or sell signals when ADX is above a specified threshold (default: 25), ensuring trades occur only in strong trending markets.
3. **Combined Logic:**
- A buy condition is met when RSI is below the oversold level and ADX indicates a strong trend.
- A sell condition is met when RSI is above the overbought level and ADX indicates a strong trend.
#### Inputs:
- `RSI Length`: Period for RSI calculation (default: 14).
- `RSI Overbought Level`: Threshold for overbought conditions (default: 70).
- `RSI Oversold Level`: Threshold for oversold conditions (default: 30).
- `ADX Length`: Period for ADX calculation (default: 14).
- `ADX Smoothing`: Smoothing factor for ADX (default: 14).
- `ADX Threshold`: Minimum value for ADX to consider a trend strong (default: 25).
#### Visual Signals:
- Green upward arrows indicate buy signals.
- Red downward arrows indicate sell signals.
#### Strategy Execution:
- The script uses `strategy.entry` to open positions based on the defined conditions.
- It plots RSI and ADX values for additional visual confirmation.
#### How to Use:
1. Apply this script to your TradingView chart.
2. Adjust the input parameters to suit your preferred market and timeframe.
3. Backtest the strategy on historical data to assess its performance.
4. Use in live markets with appropriate risk management measures.
This strategy is ideal for traders who prefer a systematic and rule-based approach to scalping. However, always test and validate the strategy before using it with real funds.
SMA Envelope-FWO25Simple Envelope Strategie with SMA, Long only, works for long term investing. Try to test different SMAs on your underlying. To see the performance over the full range of time I close the last trade on the end date. Let me know your comments
Saudi Market Buy-Only MAZ Strategy (Customizable)هذه الاستراتيجية مصممة خصيصًا للتداول في السوق السعودي، حيث تعتمد فقط على صفقات الشراء، دون بيع مكشوف. تمكّن هذه الاستراتيجية المتداولين من الدخول في صفقات بناءً على إشارات فنية موثوقة مثل تقاطع مؤشر MACD واتجاه المتوسطات المتحركة ومؤشر RSI.
المزايا:
إدارة مخاطر ذكية: تتيح تخصيص نسبة المخاطرة ووقف الخسارة بناءً على رأس المال.
أهداف محددة: إمكانية تعيين أهداف جني الأرباح (TP1 و TP2) يدويًا.
تخصيص كامل: يمكن تعديل إعدادات المؤشرات (MACD، RSI، المتوسطات المتحركة) بسهولة من واجهة المستخدم.
التوافق مع السوق السعودي: تتناسب مع طبيعة التداول في السوق السعودي الذي يعتمد غالبًا على صفقات الشراء فقط.
الشروط الفنية:
إشارة الشراء:
تقاطع MACD إيجابي (خط MACD أعلى خط الإشارة).
مؤشر RSI أعلى من مستوى محدد (قابل للتعديل، الافتراضي: 50).
المتوسط المتحرك MA50 أعلى من MA200 (تأكيد الاتجاه الصاعد).
الخروج:
جني الأرباح عند تحقيق الهدف الأول أو الثاني.
الخروج بوقف الخسارة في حالة انعكاس السعر.
كيفية التخصيص:
رأس المال: تعديل قيمة رأس المال الافتراضي.
إعدادات المؤشرات: تغيير إعدادات MACD (الفترة السريعة والبطيئة)، RSI (الفترة ومستوى الدخول)، والمتوسطات المتحركة (MA50 وMA200).
إدارة المخاطر: ضبط نسبة المخاطرة، وقف الخسارة، وأهداف الربح.
ملاحظة: تأكد من اختبار الاستراتيجية باستخدام بيانات تاريخية على السهم المستهدف قبل تطبيقها على التداول الحقيقي.
Phase Cross Strategy with Zone### Introduction to the Strategy
Welcome to the **Phase Cross Strategy with Zone and EMA Analysis**. This strategy is designed to help traders identify potential buy and sell opportunities based on the crossover of smoothed oscillators (referred to as "phases") and exponential moving averages (EMAs). By combining these two methods, the strategy offers a versatile tool for both trend-following and short-term trading setups.
### Key Features
1. **Phase Cross Signals**:
- The strategy uses two smoothed oscillators:
- **Leading Phase**: A simple moving average (SMA) with an upward offset.
- **Lagging Phase**: An exponential moving average (EMA) with a downward offset.
- Buy and sell signals are generated when these phases cross over or under each other, visually represented on the chart with green (buy) and red (sell) labels.
2. **Phase Zone Visualization**:
- The area between the two phases is filled with a green or red zone, indicating bullish or bearish conditions:
- Green zone: Leading phase is above the lagging phase (potential uptrend).
- Red zone: Leading phase is below the lagging phase (potential downtrend).
3. **EMA Analysis**:
- Includes five commonly used EMAs (13, 26, 50, 100, and 200) for additional trend analysis.
- Crossovers of the EMA 13 and EMA 26 act as secondary buy/sell signals to confirm or enhance the phase-based signals.
4. **Customizable Parameters**:
- You can adjust the smoothing length, source (price data), and offset to fine-tune the strategy for your preferred trading style.
### What to Pay Attention To
1. **Phases and Zones**:
- Use the green/red phase zone as an overall trend guide.
- Avoid taking trades when the phases are too close or choppy, as it may indicate a ranging market.
2. **EMA Trends**:
- Align your trades with the longer-term trend shown by the EMAs. For example:
- In an uptrend (price above EMA 50 or EMA 200), prioritize buy signals.
- In a downtrend (price below EMA 50 or EMA 200), prioritize sell signals.
3. **Signal Confirmation**:
- Consider combining phase cross signals with EMA crossovers for higher-confidence trades.
- Look for confluence between the phase signals and EMA trends.
4. **Risk Management**:
- Always set stop-loss and take-profit levels to manage risk.
- Use the phase and EMA zones to estimate potential support/resistance areas for exits.
5. **Whipsaws and False Signals**:
- Be cautious in low-volatility or sideways markets, as the strategy may generate false signals.
- Use additional indicators or filters to avoid entering trades during unclear market conditions.
### How to Use
1. Add the strategy to your chart in TradingView.
2. Adjust the input settings (e.g., smoothing length, offsets) to suit your trading preferences.
3. Enable the strategy tester to evaluate its performance on historical data.
4. Combine the signals with your own analysis and risk management plan for best results.
This strategy is a versatile tool, but like any trading method, it requires proper understanding and discretion. Always backtest thoroughly and trade with discipline. Let me know if you need further assistance or adjustments to the strategy!
sarina3Mix of NAdArAyA + EMA50+ ichimoku clouds
you can buy or sell with crosses
and the color of the clouds
it's better to change the numbers of nadaraya
for further information please text me
EMA/SMA Strategybuy sell stategy works best in 1 hr and daily. a long is made if pivot point candle high is broken at ema. a sell is made vice versa.
profit taken if previous candle high or low broken.
Ichimoku Strategy XAUUSD sclaping 1MTF based on ICHIMOKU strategy! Can use in all pairs index but backtest and you are good to go!
使用 DI+ 和 DI- 的策略 (最終完整修正且含圖表止損止盈線)策略名稱： 基於 DI+ 和 DI- 的趨勢追蹤策略 (附 ATR 止損止盈) / DI+ and DI- Trend Following Strategy with ATR Stop Loss and Take Profit
策略描述 (中文)：
本策略基於趨向指標 (Directional Movement Index, DMI) 中的 DI+ 和 DI- 指標，結合趨勢過濾均線和 ATR (Average True Range) 指標來判斷市場趨勢和設定動態的止損止盈。DMI 旨在衡量價格變動的方向和強度。
DI+ (正趨向指標)： 衡量向上趨勢的強度。
DI- (負趨向指標)： 衡量向下趨勢的強度。
當 DI+ 高於 DI- 且收盤價高於趨勢過濾均線時，視為強勢上漲趨勢，產生買入訊號；反之，當 DI- 高於 DI+ 且收盤價低於趨勢過濾均線時，視為強勢下跌趨勢，產生賣出訊號。
本策略使用 ATR 指標來計算動態的止損和止盈水平，使止損止盈的距離能根據市場的波動性進行調整，提高策略的適應性。
策略描述 (英文)：
This strategy is based on the Directional Movement Index (DMI), specifically the DI+ and DI- indicators, combined with a trend-filtering moving average and the Average True Range (ATR) to identify market trends and set dynamic stop-loss and take-profit levels. The DMI is designed to measure the direction and strength of price movements.
DI+ (Positive Directional Indicator): Measures the strength of upward trends.
DI- (Negative Directional Indicator): Measures the strength of downward trends.
When DI+ is above DI- and the closing price is above the trend-filtering moving average, it is considered a strong uptrend, generating a buy signal. Conversely, when DI- is above DI+ and the closing price is below the trend-filtering moving average, it is considered a strong downtrend, generating a sell signal.
This strategy uses the ATR indicator to calculate dynamic stop-loss and take-profit levels, allowing the stop-loss and take-profit distances to adjust to market volatility, improving the strategy's adaptability.
策略參數 (中英文對照)：
DI 長度 (DI Length): 計算 DI+ 和 DI- 的週期長度。 (預設值: 14) / The period length for calculating DI+ and DI-. (Default: 14)
ADX 平滑 (ADX Smoothing): 用於平滑 ADX 的週期長度 (即使不直接使用 ADX，此參數也是必需的)。 (預設值: 14) / The period length used for smoothing the ADX (this parameter is required even if ADX is not used directly). (Default: 14)
趨勢過濾均線長度 (Trend Filter Moving Average Length): 計算趨勢過濾均線的週期長度。 (預設值: 20) / The period length for calculating the trend-filtering moving average. (Default: 20)
趨勢強度門檻值 (Trend Strength Threshold): DI+ 和 DI- 之間差距的門檻值，用於判斷趨勢是否足夠強勁。 (預設值: 20) / The threshold for the difference between DI+ and DI-, used to determine if the trend is strong enough. (Default: 20)
ATR 長度 (ATR Length): 計算 ATR 的週期長度。 (預設值: 14) / The period length for calculating the ATR. (Default: 14)
ATR 停損倍數 (ATR Stop Loss Multiplier): 止損價格與進場價格之間以 ATR 的倍數表示的距離。 (預設值: 1.5) / The distance between the stop-loss price and the entry price, expressed as a multiple of the ATR. (Default: 1.5)
ATR 止盈倍數 (ATR Take Profit Multiplier): 止盈價格與進場價格之間以 ATR 的倍數表示的距離。 (預設值: 2.5) / The distance between the take-profit price and the entry price, expressed as a multiple of the ATR. (Default: 2.5)
策略用法 (中文)：
在 TradingView 上開啟一個圖表。
開啟 Pine Script 編輯器。
複製並貼上提供的程式碼。
點擊「新增到圖表」。
在策略設定中，根據您的需求調整參數。
使用回測功能測試不同參數組合的表現。
策略用法 (英文)：
Open a chart on TradingView.
Open the Pine Script editor.
Copy and paste the provided code.
Click "Add to Chart".
In the strategy settings, adjust the parameters according to your needs.
Use the backtesting feature to test the performance of different parameter combinations.
訊號判斷 (中英文對照)：
買入訊號 (Long Entry Signal): DI+ > DI- + 趨勢強度門檻值 且 收盤價 > 趨勢過濾均線 / DI+ > DI- + Trend Strength Threshold AND Close > Trend Filter Moving Average
賣出訊號 (Short Entry Signal): DI- > DI+ + 趨勢強度門檻值 且 收盤價 < 趨勢過濾均線 / DI- > DI+ + Trend Strength Threshold AND Close < Trend Filter Moving Average
止損止盈計算 (中英文對照)：
多單停損 (Long Stop Loss): 進場價格 - (ATR * ATR 停損倍數) / Entry Price - (ATR * ATR Stop Loss Multiplier)
多單止盈 (Long Take Profit): 進場價格 + (ATR * ATR 止盈倍數) / Entry Price + (ATR * ATR Take Profit Multiplier)
空單停損 (Short Stop Loss): 進場價格 + (ATR * ATR 停損倍數) / Entry Price + (ATR * ATR Stop Loss Multiplier)
空單止盈 (Short Take Profit): 進場價格 - (ATR * ATR 止盈倍數) / Entry Price - (ATR * ATR Take Profit Multiplier)
注意事項 (中英文對照)：
回測結果僅供參考，不代表未來績效。 / Backtesting results are for reference only and do not guarantee future performance.
策略參數需要根據不同的市場和時間週期進行調整。 / Strategy parameters need to be adjusted according to different markets and timeframes.
此策略不適用於所有市場環境。 / This strategy is not suitable for all market conditions.
請謹慎使用，並自行承擔交易風險。 / Please use with caution and at your own risk.
