ETH Signal 15m
This strategy uses the Supertrend indicator combined with RSI to generate buy and sell signals, with stop loss (SL) and take profit (TP) conditions based on ATR (Average True Range). Below is a detailed explanation of each part:
1. General Information BINANCE:ETHUSDT.P
Strategy Name: "ETH Signal 15m"
Designed for use on the 15-minute time frame for the ETH pair.
Default capital allocation is 15% of total equity for each trade.
2. Backtest Period
start_time and end_time: Define the start and end time of the backtest period.
start_time = 2024-08-01: Start date of the backtest.
end_time = 2054-01-01: End date of the backtest.
The strategy will only run when the current time falls within this specified range.
3. Supertrend Indicator
Supertrend is a trend-following indicator that provides buy or sell signals based on the direction of price changes.
factor = 2.76: The multiplier used in the Supertrend calculation (increasing this value makes the Supertrend less sensitive to price movements).
atrPeriod = 12: Number of periods used to calculate ATR.
Output:
direction: Determines the buy/sell direction based on Supertrend.
If direction decreases, it signals a buy (Long).
If direction increases, it signals a sell (Short).
4. RSI Indicator
RSI (Relative Strength Index) is a momentum indicator, often used to identify overbought or oversold conditions.
rsiLength = 12: Number of periods used to calculate RSI.
rsiOverbought = 70: RSI level considered overbought.
rsiOversold = 30: RSI level considered oversold.
5. Entry Conditions
Long Entry:
Supertrend gives a buy signal (ta.change(direction) < 0).
RSI must be below the overbought level (rsi < rsiOverbought).
Short Entry:
Supertrend gives a sell signal (ta.change(direction) > 0).
RSI must be above the oversold level (rsi > rsiOversold).
The strategy will only execute trades if the current time is within the backtest period (in_date_range).
6. Stop Loss (SL) and Take Profit (TP) Conditions
ATR (Average True Range) is used to calculate the distance for Stop Loss and Take Profit based on price volatility.
atr = ta.atr(atrPeriod): ATR is calculated using 12 periods.
Stop Loss and Take Profit are calculated as follows:
Long Trade:
Stop Loss: Set at close - 4 * atr (current price minus 4 times the ATR).
Take Profit: Set at close + 2 * atr (current price plus 2 times the ATR).
Short Trade:
Stop Loss: Set at close + 4 * atr (current price plus 4 times the ATR).
Take Profit: Set at close - 2.237 * atr (current price minus 2.237 times the ATR).
Summary:
This strategy enters a Long trade when the Supertrend indicates an upward trend and RSI is not in the overbought region. Conversely, a Short trade is entered when Supertrend signals a downtrend, and RSI is not oversold.
The trade is exited when the price reaches the Stop Loss or Take Profit levels, which are determined based on price volatility (ATR).
Disclaimer:
The content provided in this strategy is for informational and educational purposes only. It is not intended as financial, investment, or trading advice. Trading in cryptocurrency, stocks, or any financial markets involves significant risk, and you may lose more than your initial investment. Past performance is not indicative of future results, and no guarantee of profit can be made. You should consult with a professional financial advisor before making any investment decisions. The creator of this strategy is not responsible for any financial losses or damages incurred as a result of following this strategy. All trades are executed at your own risk.
在腳本中搜尋"the strat"
Descriptive Backtesting Framework (DBF)As the name suggests, this is a backtesting framework made to offer full backtesting functionality to any custom indicator in a visually descriptive way.
Any trade taken will be very clear to visualize on the chart and the equity line will be updated live allowing us to use the REPLAY feature to view the strategy performing in real time.
Stops and Targets will also get draw on the chart with labels and tooltips and there will be a table on the top right corner displaying lots of descriptive metrics to measure your strategy's performance.
IF YOU DECIDE TO USE THIS FRAMEWORK, PLEASE READ **EVERYTHING** BELOW
HOW TO USE IT
Step 1 - Insert Your Strategy Indicators:
Inside this framework's code, right at the beginning, you will find a dedicated section where you can manually insert any set of indicators you desire.
Just replace the example code in there with your own strategy indicators.
Step 2 - Specify The Conditions To Take Trades:
After that, there will be another section where you need to specify your strategy's conditions to enter and exit trades.
When met, those conditions will fire the trading signals to the trading engine inside the framework.
If you don't wish to use some of the available signals, please just assign false to the signal.
DO NOT DELETE THE SIGNAL VARIABLES
Step 3 - Specify Entry/Exit Prices, Stops & Targets:
Finally you'll reach the last section where you'll be able to specify entry/exit prices as well as add stops and targets.
On most cases, it's easier and more reliable to just use the close price to enter and exit trades.
If you decide to use the open price instead, please remember to change step 2 so that trades are taken on the open price of the next candle and not the present one to avoid the look ahead bias.
Stops and targets can be set in any way you want.
Also, please don't forget to update the spread. If your broker uses commissions instead of spreads or a combination of both, you'll need to manually incorporate those costs in this step.
And that's it! That's all you have to do.
Below this section you'll now see a sign warning you about not making any changes to the code below.
From here on, the framework will take care of executing the trades and calculating the performance metrics for you and making sure all calculations are consistent.
VISUAL FEATURES:
Price candles get painted according to the current trade.
They will be blue during long trades, purple on shorts and white when no trade is on.
When the framework receives the signals to start or close a trade, it will display those signals as shapes on the upper and lower limits of the chart:
DIAMOND: represents a signal to open a trade, the trade direction is represented by the shape's color;
CROSS: means a stop loss was triggered;
FLAG: means a take profit was triggered;
CIRCLE: means an exit trade signal was fired;
Hovering the mouse over the trade labels will reveal:
Asset Quantity;
Entry/Exit Prices;
Stops & Targets;
Trade Profit;
Profit As Percentage Of Trade Volume;
**Please note that there's a limit as to how many labels can be drawn on the chart at once.**
If you which to see labels from the beginning of the chart, you'll probably need to use the replay feature.
PERFORMANCE TABLE:
The performance table displays several performance metrics to evaluate the strategy.
All the performance metrics here are calculated by the framework. It does not uses the oficial pine script strategy tester.
All metrics are calculated in real time. If using the replay feature, they will be updated up to the last played bar.
Here are the available metrics and their definition:
INITIAL EQUITY: the initial amount of money we had when the strategy started, obviously...;
CURRENT EQUITY: the amount of money we have now. If using the replay feature, it will show the current equity up to the last bar played. The number on it's right side shows how many times our equity has been multiplied from it's initial value;
TRADE COUNT: how many trades were taken;
WIN COUNT: how many of those trades were wins. The percentage at the right side is the strategy WIN RATE;
AVG GAIN PER TRADE: the average percentage gain per trade. Very small values can indicate a fragile strategy that can behave in unexpected ways under high volatility conditions;
AVG GAIN PER WIN: the average percentage gain of trades that were profitable;
AVG GAIN PER LOSS: the average percentage loss on trades that were not profitable;
EQUITY MAX DD: the maximum drawdown experienced by our equity during the entire strategy backtest;
TRADE MAX DD: the maximum drawdown experienced by our equity after one single trade;
AVG MONTHLY RETURN: the compound monthly return that our strategy was able to create during the backtested period;
AVG ANNUAL RETURN: this is the strategy's CAGR (compound annual growth rate);
ELAPSED MONTHS: number of months since the backtest started;
RISK/REWARD RATIO: shows how profitable the strategy is for the amount of risk it takes. Values above 1 are very good (and rare). This is calculated as follows: (Avg Annual Return) / mod(Equity Max DD). Where mod() is the same as math.abs();
AVAILABLE SETTINGS:
SPREAD: specify your broker's asset spread
ENABLE LONGS / SHORTS: you can keep both enable or chose to take trades in only one direction
MINIMUM BARS CLOSED: to avoid trading before indicators such as a slow moving average have had time to populate, you can manually set the number of bars to wait before allowing trades.
INITIAL EQUITY: you can specify your starting equity
EXPOSURE: is the percentage of equity you wish to risk per trade. When using stops, the strategy will automatically calculate your position size to match the exposure with the stop distance. If you are not using stops then your trade volume will be the percentage of equity specified here. 100 means you'll enter trades with all your equity and 200 means you'll use a 2x leverage.
MAX LEVERAGE ALLOWED: In some situations a short stop distance can create huge levels of leverage. If you want to limit leverage to a maximum value you can set it here.
SEVERAL PLOTTING OPTIONS: You'll be able to specify which of the framework visuals you wish to see drawn on the chart.
FRAMEWORK **LIMITATIONS**:
When stop and target are both triggered in the same candle, this framework isn't able to enter faster timeframes to check which one was triggered first, so it will take the pessimistic assumption and annul the take profit signal;
This framework doesn't support pyramiding;
This framework doesn't support both long and short positions to be active at the same time. So for example, if a short signal is received while a long trade is open, the framework will close the long trade and then open a short trade;
FINAL CONSIDERATIONS:
I've been using this framework for a good time and I find it's better to use and easier to analyze a strategy's performance then relying on the oficial pine script strategy tester. However, I CANNOT GUARANTEE IT TO BE BUG FREE.
**PLEASE PERFORM A MANUAL BACKTEST BEFORE USING ANY STRATEGY WITH REAL MONEY**
123 Reversal Trading StrategyThe 123 Reversal Trading Strategy is a technical analysis approach that seeks to identify potential reversal points in the market by analyzing price patterns. This Pine Script™ code implements a version of this strategy, and here’s a detailed description:
Strategy Overview
Objective: The strategy aims to identify bullish reversal patterns using the 123 pattern and manage trades with a specified holding period and a 20-day moving average as an additional exit condition.
Key Components:
Holding Period: The number of days to hold a trade is adjustable, with the default set to 7 days.
Moving Average: A 200-day simple moving average (SMA) is used to determine an exitcondition based on the price crossing this average.
Pattern Recognition:
Condition 1: The low of the current day must be lower than the low of the previous day.
Condition 2: The low of the previous day must be lower than the low from three days ago.
Condition 3: The low two days ago must be lower than the low from four days ago.
Condition 4: The high two days ago must be lower than the high three days ago.
Entry Condition: All four conditions must be met for a buy signal.
Exit Condition: The position is closed either after the specified holding period or when the price reaches or exceeds the 200-day moving average.
Relevant Literature
Graham, B., & Dodd, D. L. (1934). Security Analysis. This classic work introduces fundamental analysis and technical analysis principles which are foundational to understanding patterns like the 123 reversal.
Murphy, J. J. (1999). Technical Analysis of the Financial Markets. Murphy provides an extensive overview of technical indicators and chart patterns, including reversal patterns similar to the 123 pattern.
Elder, A. (1993). Trading for a Living. Elder discusses various trading strategies and technical analysis techniques that complement the understanding of reversal patterns and their application in trading.
Risks and Considerations
Pattern Reliability: The 123 reversal pattern, like many technical patterns, is not foolproof. It can generate false signals, especially in volatile or trending markets. This may lead to losses if the pattern does not play out as expected.
Market Conditions: The strategy may perform differently under various market conditions. In strongly trending markets, reversal patterns might not be as reliable.
Lagging Indicators: The use of the 200-day moving average as an exit condition can be considered a lagging indicator. This means it reacts to price movements with a delay, which might result in late exits and missed profit opportunities.
Holding Period: The fixed holding period of 7 days may not be optimal for all market conditions or stocks. It is essential to adjust the holding period based on market dynamics and individual stock behavior.
Overfitting: The parameters used (like the number of days and moving average length) are set based on historical data. Overfitting can occur if these parameters are tailored too specifically to past data, leading to reduced performance in future scenarios.
Conclusion
The 123 Reversal Trading Strategy is designed to identify potential market reversals using specific conditions related to price lows and highs. While it offers a structured approach to trading, it is essential to be aware of its limitations and potential risks. As with any trading strategy, it should be tested thoroughly in various market conditions and adjusted according to the individual trading style and risk tolerance.
ICT Unicorn | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Unicorn Indicator! This indicator is built around the ICT's "Unicorn" strategy. The strategy uses Breaker Blocks and Fair Value Gaps for entry confirmation. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Unicorn Indicator :
Implementation of ICT's Unicorn Strategy
Toggleable Retracement Entry Method
3 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The ICT Unicorn entry model merges the concepts of Breaker Blocks and Fair Value Gaps (FVGs), offering a distinct method for identifying trade opportunities. By integrating these two elements, we can have a position entry with stop-loss and take-profit targets on the potential support & resistance zones. This model is particularly reliable for trade entry, as it combines two powerful entry techniques.
An ICT Unicorn Model consists of a FVG which is overlapping with a Breaker Block of the same type. Here is an example :
When a FVG overlaps with a Breaker Block of the same type, the indicator gives a Buy or Sell signal depending on the FVG type (Bullish & Bearish). If the "Require Retracement" option is enabled in the settings, the signals are not given immediately. Instead, the current price of the ticker will need to touch the FVG once more before the signals are given.
After the Buy or Sell signal, the indicator immediately draws the take-profit (TP) and stop-loss (SL) targets. The indicator has three different TP & SL modes, explained in the "Settings" section of this write-up.
You can set up alerts for entry and TP & SL signals, and also check the current performance of the indicator and adjust the settings accordingly to the current ticker using the backtesting dashboard.
🚩 UNIQUENESS
This indicator is an all-in-one suit for the ICT's Unicorn concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. Three different TP / SL modes are available to suit your needs. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️ SETTINGS
1. General Configuration
FVG Detection Sensitivity -> You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
Swing Length -> Swing length is used when finding order block formations. Smaller values will result in finding smaller order & breaker blocks.
Require Retracement ->
a) Disabled : The entry signal is given immediately once a FVG overlaps with a Breaker Block of the same type.
b) Enabled : The current price of the ticker will need to touch the FVG once more before the entry signal is given.
2. TP / SL
TP / SL Method ->
a) Unicorn : This is the default option. The SL will be set to the lowest low of the last 100 bars with an extra offset in a Buy signal. For Sell signals, the SL will be set to the highest high of the last 100 bars with an extra offset. The TP is then set to a value using the SL value and maintaining a risk-reward ratio.
b) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
c) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
PVT Crossover Strategy**Release Notes**
**Strategy Name**: PVT Crossover Strategy
**Purpose**: This strategy aims to capture entry and exit points in the market using the Price-Volume Trend (PVT) and its Exponential Moving Average (EMA). It specifically uses the crossover of PVT with its EMA as signals to identify changes in market trends.
**Uniqueness and Usefulness**
**Uniqueness**: This strategy is unique in its use of the PVT indicator, which combines price changes with trading volume to track trends. The filtering with EMA reduces noise and provides more accurate signals compared to other indicators.
**Usefulness**: This strategy is effective for traders looking to detect trend changes early. The signals based on PVT and its EMA crossover work particularly well in markets where volume fluctuations are significant.
**Entry Conditions**
**Long Entry**:
- **Condition**: A crossover occurs where PVT crosses above its EMA.
- **Signal**: A buy signal is generated, indicating a potential uptrend.
**Short Entry**:
- **Condition**: A crossunder occurs where PVT crosses below its EMA.
- **Signal**: A sell signal is generated, indicating a potential downtrend.
**Exit Conditions**
**Exit Strategy**:
- The strategy does not explicitly program exit conditions beyond the entry signals, but traders are encouraged to close positions manually based on signals or apply their own risk management strategy.
**Risk Management**
This strategy does not include default risk management rules, so traders should implement their own. Consider using trailing stops or fixed stop losses to manage risk.
**Account Size**: ¥100,000
**Commissions and Slippage**: 94 pips per trade for commissions and 1 pip for slippage
**Risk per Trade**: 10% of account equity
**Configurable Options**
**Configurable Options**:
- **EMA Length**: The length of the EMA used to calculate the EMA of PVT (default is 20).
- **Signal Display Control**: The option to turn the display of signals on or off.
**Adequate Sample Size**
To ensure the robustness and reliability of this strategy, it is recommended to backtest it with a sufficiently long period of historical data, especially across different market conditions.
**Credits**
**Acknowledgments**:
This strategy is based on the concept of the PVT indicator and its application in strategy design, drawing on contributions from technical analysis and the trading community.
**Clean Chart Description**
**Chart Appearance**:
This strategy is designed to maintain a clean and simple chart by turning off the plot of PVT, its EMA, and entry signals. This reduces clutter and allows for more effective trend analysis.
**Addressing the House Rule Violations**
**Omissions and Unrealistic Claims**
**Clarification**:
This strategy does not make unrealistic or unsupported claims about its performance, and all signals are for educational purposes only, not guaranteeing future results. It is important to understand that past performance does not guarantee future outcomes.
IMI and MFI CombinedFor a strategy using the combined IMI (Intraday Momentum Index), MFI (Money Flow Index), and Bollinger Bands on a 1-minute chart of Bank NIFTY (Bank Nifty Index), here's how you can interpret the indicators and define a sell signal strategy:
Strategy Explanation:
IMI (Intraday Momentum Index):
IMI measures the ratio of upward price changes to downward price changes over a specified period, indicating momentum.
In the script, IMI is plotted with a range from 0 to 100. Levels above 75 are considered overbought, and levels below 25 are oversold.
Strategy Condition: A sell signal can be considered when IMI is above 75, indicating a potentially overbought market condition.
MFI (Money Flow Index):
MFI measures the strength of money flowing in and out of a security, using price and volume.
In the script, MFI is plotted with levels at 80 (overbought) and 20 (oversold).
Strategy Condition: A sell signal can be considered when MFI is above 80, suggesting an overbought condition in the market.
Bollinger Bands:
Bollinger Bands consist of a middle band (SMA) and upper/lower bands representing volatility levels around the price.
In the script, Bollinger Bands are plotted with a length of 20 and a standard deviation multiplier of 2.
Strategy Condition: While not explicitly used for generating sell signals in this script, Bollinger Bands can help confirm price volatility and potential reversals when combined with other indicators.
Sell Signal Criteria:
IMI Sell Signal: Look for instances where IMI rises above 75. This indicates that the recent upward price momentum may be reaching an unsustainable level, potentially signaling a reversal or a pullback in prices.
MFI Sell Signal: Look for MFI rising above 80. This suggests that the market has experienced strong buying pressure, possibly leading to an overbought condition where a price correction or reversal might occur.
Implementation Considerations:
Confirmation: Consider waiting for both IMI and MFI to confirm the overbought condition simultaneously before entering a sell trade. This can increase the reliability of the signal.
Risk Management: Use stop-loss orders to manage risk in case the market moves against the anticipated direction after the sell signal is triggered.
Timeframe: This strategy is tailored for a 1-minute chart, meaning signals should be interpreted and acted upon quickly due to the rapid nature of price movements in intraday trading.
By combining these indicators and interpreting their signals, you can develop a systematic approach to identifying potential sell opportunities in the Bank NIFTY index on a 1-minute timeframe. Adjustments to indicator parameters and additional technical analysis may further refine the strategy based on your trading preferences and risk tolerance.
Enhanced BOS Strategy with SL/TP and EMA TableDescription:
The Enhanced BOS (Break of Structure) Strategy is an advanced open-source trading indicator designed to identify key market structure changes, integrated with dynamic Stop Loss (SL) and Take Profit (TP) levels, along with an informative EMA (Exponential Moving Average) table for added trend analysis.
Key Features:
Break of Structure (BOS) Detection:
The script detects bullish and bearish BOS by identifying pivot points using a custom pivot period. When the price crosses above or below these points, it signals a potential market trend reversal or continuation.
Dynamic SL/TP Levels:
Users can toggle static SL/TP settings, which automatically calculate levels based on user-defined points. These levels are visualized on the chart with dotted lines and labeled for clarity.
Volume Filters:
The strategy includes a volume condition filter to ensure that only trades within a specified volume range are considered. This helps in avoiding low-volume trades that might lead to false signals.
EMA Table Display:
An on-chart table displaying the current values of the 13-period, 50-period, and 200-period EMAs. This provides a quick reference for trend identification and confirmation, helping traders to stay aligned with the broader market trend.
How It Works:
The script utilizes a combination of moving averages and pivot points to identify potential breakouts or breakdowns in market structure. When a bullish BOS is detected, and the volume conditions are met, the strategy suggests a long position, marking potential SL/TP levels. Similarly, it suggests short positions for bearish BOS.
The EMA table serves as a visual aid, providing real-time updates of the EMA values, allowing traders to gauge the market’s directional bias quickly.
How to Use:
Setting Parameters:
Adjust the pivot period to fine-tune BOS detection according to your trading style and the asset’s volatility.
Configure the SL/TP settings based on your risk tolerance and target profit levels.
Interpreting Signals:
A “Buy” label on the chart indicates a bullish BOS with volume confirmation, signaling a potential long entry.
A “Sell” label indicates a bearish BOS with volume confirmation, signaling a potential short entry.
The EMA table aids in confirming these signals, where the position of the fast, mid, and slow EMAs can provide additional context to the trend’s strength and direction.
Volume Filtering:
Ensure your trades are filtered through the script’s volume condition, which allows for the exclusion of low-volume periods that might generate unreliable signals.
Unique Value:
Unlike many other BOS strategies, this script integrates volume conditions and a visual EMA table, providing a comprehensive toolkit for traders looking to capture market structure shifts while maintaining an eye on trend direction and trade execution precision.
Additional Information:
This script is designed for use on standard bar or candlestick charts for best results.
It is open-source and free to use, encouraging collaboration and improvement by the TradingView community.
By combining powerful trend-following EMAs with the precision of BOS detection and the safety of volume filtering, the Enhanced BOS Strategy offers a balanced approach to trading market structure changes.
RSI with Bollinger Bands Scalp Startegy (1min)
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The "RSI with Bollinger Bands Scalp Strategy (1min)" is a highly effective tool designed for traders who engage in short-term scalping on the 1-minute chart. This indicator combines the strengths of the RSI (Relative Strength Index) and Bollinger Bands to generate precise buy signals, helping traders make quick and informed decisions in fast-moving markets.
How It Works:
RSI (Relative Strength Index):
The RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It operates on a scale of 0 to 100 and helps identify overbought and oversold conditions in the market.
This strategy allows customization of the RSI's lower and upper bands (default settings: 30 for the lower band and 70 for the upper band) and the RSI length (default: 14).
Bollinger Bands:
Bollinger Bands consist of a central moving average (the basis) and two bands that represent standard deviations above and below the basis. These bands expand and contract based on market volatility.
In this strategy, the Bollinger Bands are used to identify potential buy and sell signals based on the price's relationship to the upper and lower bands.
Signal Generation:
Buy Signal: A buy signal is triggered when two conditions are met:
The RSI value falls below the specified lower band, indicating an oversold condition.
The price crosses below the lower Bollinger Band.
The buy signal is then issued on the first positive candle (where the closing price is greater than or equal to the opening price) after these conditions are met.
Sell Signal: In this version of the strategy, the sell signal is currently disabled to focus solely on generating and optimizing the buy signals for scalping.
Strategy Highlights:
This indicator is particularly effective for traders who focus on 1-minute charts and want to capitalize on rapid price movements.
The combination of RSI and Bollinger Bands ensures that buy signals are only generated during significant oversold conditions, helping to filter out false signals.
Customization:
Users can adjust the RSI length, Bollinger Bands length, and the standard deviation multiplier to better fit their specific trading style and the asset they are trading.
The moving average type for Bollinger Bands can be selected from various options, including SMA, EMA, SMMA, WMA, and VWMA, allowing further customization based on individual preferences.
Usage:
Use this indicator on a 1-minute chart to identify potential buy opportunities during short-term price dips.
Since the sell signals are disabled, this strategy is best used in conjunction with other indicators or strategies to manage exit points effectively.
This "RSI with Bollinger Bands Scalp Strategy (1min)" indicator is a valuable tool for traders looking to enhance their short-term trading performance by focusing on high-probability entry points in volatile market conditions.
Fibonacci Retracements & Trend Following Strategy V2This Pine Script strategy generates trading signals using Fibonacci levels and trend-following indicators.
1. Strategy Summary
This strategy analyzes price movements using a combination of Fibonacci levels and trend-following indicators, providing potential trading signals. The strategy includes Fibonacci levels as well as EMA (Exponential Moving Average) and ADX (Average Directional Index) indicators.
2. Indicators and Parameters
Fibonacci Levels
Fibonacci Level 1, Level 2, Level 3, Level 4: Used as Fibonacci retracement levels. These levels are typically set at 0.236, 0.382, 0.618, and 0.786. Users can adjust these values according to their preferences.
Trend-Following Indicator
Trend Length: The period for calculating the EMA used as the trend-following indicator. For example, if set to 20, the EMA will be calculated over 20 periods.
ADX (Average Directional Index)
ADX Length: The period for calculating the ADX. ADX measures the strength of the price trend and is usually set to 14 periods.
ADX Threshold: A threshold value for the ADX. This value determines when trading signals will be activated.
3. Usage Steps
Displaying the Indicator on the Chart:
On the TradingView platform, paste the code into the Pine Editor and click the "Add to Chart" button to add it to the chart.
Analyzing the Indicators:
Fibonacci Levels: Show retracement levels of price movements. When the price reaches one of these levels, potential reversals may occur.
Trend-Following Indicator: EMAs determine the direction of the trend. Green EMA represents an uptrend, while red EMA represents a downtrend.
ADX: Measures the strength of the trend. When ADX surpasses the threshold value, it indicates a strong trend.
Trading Signals:
Long Signal: Generated when the price is above the second Fibonacci level and the trend is upward. Additionally, the ADX value must be above the set threshold.
Short Signal: Generated when the price is below the second Fibonacci level and the trend is downward. Additionally, the ADX value must be above the set threshold.
Target Prices:
Long Targets: Determines upward targets based on Fibonacci levels. These targets indicate expected prices if the price reverses from Fibonacci levels.
Short Targets: Determines downward targets based on Fibonacci levels. These targets indicate expected prices if the price reverses from Fibonacci levels.
4. Chart Displays
Trend Up (Green Line): Shows the rising EMA.
Trend Down (Red Line): Shows the falling EMA.
Fibonacci Levels (Blue Lines): Shows Fibonacci retracement levels.
Long Targets (Green Circles): Shows targets for long positions.
Short Targets (Red Circles): Shows targets for short positions.
Long Signal (Green Label): Buy signal.
Short Signal (Red Label): Sell signal.
5. Important Notes
Retracement and Target Levels: Fibonacci levels can act as potential retracement or support/resistance levels. However, they should always be used in conjunction with other technical analysis tools.
Trend and ADX: ADX is used to determine the strength of the trend. Be aware that when ADX is low, trends may be weak.
6. Example Scenarios
Example 1: If the trend is upward (green EMA) and the price is above the second Fibonacci level, you may receive a long position signal. If the ADX value is above the threshold, the signal may be stronger.
Example 2: If the trend is downward (red EMA) and the price is below the second Fibonacci level, you may receive a short position signal. If the ADX value is above the threshold, the signal may be stronger.
This updated version contains significant improvements in both technical aspects and user experience. Innovations such as ADX calculations and dynamic Fibonacci levels make the strategy more robust and flexible. The code's readability and comprehensibility have been enhanced, and errors have been corrected.
This guide will help you understand the basic operation of the strategy. It is always recommended to conduct your own research and test the strategy before using it.
GOOD LUCK. // halilvarol
Artaking 2Components of the Indicator:
Moving Averages:
Short-Term Moving Average (MA): This is a 50-period Simple Moving Average (SMA) applied to the closing price. It is used to track the short-term trend of the market.
Long-Term Moving Average (MA): This is a 200-period SMA used to track the long-term trend.
Day Trading Moving Average: A 20-period SMA is used specifically for day trading signals, focusing on shorter-term price movements.
Purpose:
The crossing of these moving averages (short-term crossing above or below long-term) provides basic buy and sell signals, indicative of potential trend reversals or continuations.
ADX (Average Directional Index) for Trend Strength:
ADX Calculation: The ADX is calculated using a 14-period length with 14-period smoothing. The ADX value indicates the strength of a trend, regardless of direction.
Strong Trend Condition: The indicator considers a trend to be strong if the ADX value is above 25. This threshold helps filter out trades during weak or sideways markets.
Purpose:
To ensure that the strategy only generates signals when there is a strong trend, thus avoiding whipsaws in low volatility or range-bound conditions.
Support Levels:
Support Level Calculation: The indicator calculates the lowest close over the last 100 periods. This level is used to identify significant support zones where the price might find a floor.
Purpose:
Support levels are critical in identifying potential areas where the price might bounce, making them ideal for setting stop losses or identifying buy opportunities.
Volatility Spike (Proxy for News Trading):
ATR (Average True Range) Calculation: The indicator uses a 14-period ATR to measure market volatility. A volatility spike is identified when the ATR is greater than 1.5 times the 14-period SMA of the ATR.
Purpose:
This serves as a proxy for news events or other sudden market movements that could make the market unpredictable. The indicator avoids generating signals during these periods to reduce the risk of being caught in a volatile, potentially news-driven move.
Fibonacci Retracement Levels:
61.8% Fibonacci Level: Calculated from the highest high and lowest low over the long MA period, this retracement level is widely regarded as a significant support or resistance level.
Purpose:
Position traders often use Fibonacci levels to identify potential reversal points. The indicator incorporates the 61.8% level to fine-tune entries and exits.
Candlestick Patterns for Price Action Trading:
Bullish Engulfing Pattern: A bullish reversal pattern where a green candle fully engulfs the previous red candle.
Bearish Engulfing Pattern: A bearish reversal pattern where a red candle fully engulfs the previous green candle.
Purpose:
These patterns are classic signals used in price action trading to identify potential reversals at key levels, especially when they align with other conditions like support/resistance or Fibonacci levels.
Signal Generation:
The indicator generates buy and sell signals by combining the above elements:
Buy Signal:
A buy signal is triggered when:
The short-term MA crosses above the long-term MA (indicating a potential uptrend).
The trend is strong (ADX > 25).
The current price is near or below the 61.8% Fibonacci retracement level, suggesting a potential reversal.
No significant volatility spike is detected, ensuring the market isn’t reacting unpredictably to news.
Sell Signal:
A sell signal is triggered when:
The short-term MA crosses below the long-term MA (indicating a potential downtrend).
The trend is strong (ADX > 25).
The current price is near or above the 61.8% Fibonacci retracement level, suggesting potential resistance.
No significant volatility spike is detected.
Day Trading Signals:
Independent of the main trend signals, the indicator also generates intraday buy and sell signals when the price crosses above or below the 20-period day trading MA.
Price Action Signals:
The indicator can trigger buy or sell signals based purely on price action, such as the occurrence of bullish or bearish engulfing patterns. This is optional and can be enabled or disabled.
Alerts:
The indicator includes built-in alert conditions that notify the trader when a buy or sell signal is generated. This allows traders to act immediately without having to constantly monitor the charts.
Practical Application:
This indicator is versatile and can be used across various trading styles:
Position Trading: The long-term MA, Fibonacci retracement, and ADX provide a solid foundation for identifying long-term trends and potential entry/exit points.
Day Trading: The short-term MA and day trading MA offer quick signals for intraday trading.
Price Action: Candlestick pattern recognition allows for precise entry points based on market sentiment and behavior.
News Trading: The volatility spike filter helps avoid trading during periods of market instability, often driven by news events.
Conclusion:
The Comprehensive Trading Strategy Indicator is a robust tool designed to help traders navigate various market conditions by integrating multiple strategies into a single, coherent framework. It provides clear, actionable signals while filtering out potentially dangerous trades during volatile or weak market conditions. Whether you're a long-term trader, a day trader, or someone who relies on price action, this indicator can be a valuable addition to your trading toolkit.
Multi-Regression StrategyIntroducing the "Multi-Regression Strategy" (MRS) , an advanced technical analysis tool designed to provide flexible and robust market analysis across various financial instruments.
This strategy offers users the ability to select from multiple regression techniques and risk management measures, allowing for customized analysis tailored to specific market conditions and trading styles.
Core Components:
Regression Techniques:
Users can choose one of three regression methods:
1 - Linear Regression: Provides a straightforward trend line, suitable for steady markets.
2 - Ridge Regression: Offers a more stable trend estimation in volatile markets by introducing a regularization parameter (lambda).
3 - LOESS (Locally Estimated Scatterplot Smoothing): Adapts to non-linear trends, useful for complex market behaviors.
Each regression method calculates a trend line that serves as the basis for trading decisions.
Risk Management Measures:
The strategy includes nine different volatility and trend strength measures. Users select one to define the trading bands:
1 - ATR (Average True Range)
2 - Standard Deviation
3 - Bollinger Bands Width
4 - Keltner Channel Width
5 - Chaikin Volatility
6 - Historical Volatility
7 - Ulcer Index
8 - ATRP (ATR Percentage)
9 - KAMA Efficiency Ratio
The chosen measure determines the width of the bands around the regression line, adapting to market volatility.
How It Works:
Regression Calculation:
The selected regression method (Linear, Ridge, or LOESS) calculates the main trend line.
For Ridge Regression, users can adjust the lambda parameter for regularization.
LOESS allows customization of the point span, adaptiveness, and exponent for local weighting.
Risk Band Calculation:
The chosen risk measure is calculated and normalized.
A user-defined risk multiplier is applied to adjust the sensitivity.
Upper and lower bounds are created around the regression line based on this risk measure.
Trading Signals:
Long entries are triggered when the price crosses above the regression line.
Short entries occur when the price crosses below the regression line.
Optional stop-loss and take-profit mechanisms use the calculated risk bands.
Customization and Flexibility:
Users can switch between regression methods to adapt to different market trends (linear, regularized, or non-linear).
The choice of risk measure allows adaptation to various market volatility conditions.
Adjustable parameters (e.g., regression length, risk multiplier) enable fine-tuning of the strategy.
Unique Aspects:
Comprehensive Regression Options:
Unlike many indicators that rely on a single regression method, MRS offers three distinct techniques, each suitable for different market conditions.
Diverse Risk Measures: The strategy incorporates a wide range of volatility and trend strength measures, going beyond traditional indicators to provide a more nuanced view of market dynamics.
Unified Framework:
By combining advanced regression techniques with various risk measures, MRS offers a cohesive approach to trend identification and risk management.
Adaptability:
The strategy can be easily adjusted to suit different trading styles, timeframes, and market conditions through its various input options.
How to Use:
Select a regression method based on your analysis of the current market trend (linear, need for regularization, or non-linear).
Choose a risk measure that aligns with your trading style and the market's current volatility characteristics.
Adjust the length parameter to match your preferred timeframe for analysis.
Fine-tune the risk multiplier to set the desired sensitivity of the trading bands.
Optionally enable stop-loss and take-profit mechanisms using the calculated risk bands.
Monitor the regression line for potential trend changes and the risk bands for entry/exit signals.
By offering this level of customization within a unified framework, the Multi-Regression Strategy provides traders with a powerful tool for market analysis and trading decision support. It combines the robustness of regression analysis with the adaptability of various risk measures, allowing for a more comprehensive and flexible approach to technical trading.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
High & Low Of Custom Session - Breakout True Open [cognyto]This indicator is based on the High & Low Of Custom Session - OpeningRange Breakout (Expo) created by Zeiierman.
It adds new functionality and enhances existing settings, targeting ES, NQ, and YM:
Manages session defaults to 12:00 to 13:00
New true opening fully customizable (default 13:00)
Manages timeframe visualization (default 15m and below)
Manages session draw length until the end of the current session (default NY)
Manages previous sessions, allowing the to be hidden
Improves timezone selection (default NY)
Following the strategy called Paradox detailed by DayTradingRauf, it works with indices like ES, NQ, and YM.
The rules consider three possible profiles:
First
AM session as consolidation (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session breaking either side of the session range
Second
AM session trending lower (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session trending higher
Third
AM session trending higher (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session trending lower
After the session ends, the opening price at 13:00 is automatically drawn as it is a key point for the entry strategy.
The strategy can be monitored using a 5-minute or 15-minute timeframe as follows:
- Wait for a liquidity hunt (either the high or low of the lunch session range or AM is taken).
- If liquidity is taken, switch to the 1-minute timeframe and wait for a CISD (change in the state of delivery), where the price closes below an OB, or consider a breaker block or iFVG to enter the trade.
- Bullish entries should happen below the opening price at 13:00, and bearish entries should happen above.
- Consider a 1:2 reward ratio. However, runners can target the opposite side of the range that was not yet taken.
This indicator is for informational purposes only and you should not rely on any information it provides as legal, tax, investment, financial or other advice. Nothing provided by this indicator constitutes a solicitation, recommendation, endorsement or offer by cognyto or any third party service provider to buy or sell any securities or other financial instruments in this or any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction.
Smoothed Heiken Ashi Candles with Delayed SignalsThis is a trend-following approach that uses a modified version of Heiken Ashi candles with additional smoothing. Here are the key components and features:
1. Heiken Ashi Modification: The strategy starts by calculating Heiken Ashi candles, which are known for better trend visualization. However, it modifies the traditional Heiken Ashi by using Exponential Moving Averages (EMAs) of the open, high, low, and close prices.
2. Double Smoothing: The strategy applies two layers of smoothing. First, it uses EMAs to calculate the Heiken Ashi values. Then, it applies another EMA to the Heiken Ashi open and close prices. This double smoothing aims to reduce noise and provide clearer trend signals.
3. Long-Only Approach: As the name suggests, this strategy only takes long positions. It doesn't short the market during downtrends but instead exits existing long positions when the sell signal is triggered.
4. Entry and Exit Conditions:
- Entry (Buy): When the smoothed Heiken Ashi candle color changes from red to green (indicating a potential start of an uptrend).
- Exit (Sell): When the smoothed Heiken Ashi candle color changes from green to red (indicating a potential end of an uptrend).
5. Position Sizing: The strategy uses a percentage of equity for position sizing, defaulting to 100% of available equity per trade. This should be tailored to each persons unique approach. Responsible trading would use less than 5% for each trade. The starting capital used is a responsible and conservative $1000, reflecting the average trader.
This strategy aims to provide a smooth, trend-following approach that may be particularly useful in markets with clear, sustained trends. However, it may lag in choppy or ranging markets due to its heavy smoothing. As with any strategy, it's important to thoroughly back test and forward test before using it with real capital, and to consider using it in conjunction with other analysis tools and risk management techniques.
Other smoothed Heiken Ashi indicators do not provide buy and sell signals, and only show the change in color to dictate a change in trend. By adding buy and sell signals after the close of the changing candle, alerts can be programmed, which helps this be a more hands off protocol to experiment with. Other smoothed Heiken Ashi indicators do not allow for alarms to be set.
This is a unique HODL strategy which helps identify a change in trend, without the noise of day to day volatility. By switching to a line chart, it removes the candles altogether to avoid even more noise. The goal is to HODL a coin while the color is bullish in an uptrend, but once the indicator gives a sell signal, to sell the holdings back to a stable coin and let the chart ride down. Once the chart gives the next buy signal, use that same capital to buy back into the asset. In essence this removes potential losses, and helps buy back in cheaper, gaining more quantitity fo the asset, and therefore reducing your average initial buy in price.
Most HODL strategies ride the price up, miss selling at the top, then riding the price back down in anticipation that it will go back up to sell. This strategy will not hit the absolute tops, but it will greatly reduce potential losses.
Smoothed Heiken Ashi Strategy Long OnlyThis is a trend-following approach that uses a modified version of Heiken Ashi candles with additional smoothing. Here are the key components and features:
1. Heiken Ashi Modification: The strategy starts by calculating Heiken Ashi candles, which are known for better trend visualization. However, it modifies the traditional Heiken Ashi by using Exponential Moving Averages (EMAs) of the open, high, low, and close prices.
2. Double Smoothing: The strategy applies two layers of smoothing. First, it uses EMAs to calculate the Heiken Ashi values. Then, it applies another EMA to the Heiken Ashi open and close prices. This double smoothing aims to reduce noise and provide clearer trend signals.
3. Long-Only Approach: As the name suggests, this strategy only takes long positions. It doesn't short the market during downtrends but instead exits existing long positions when the sell signal is triggered.
4. Entry and Exit Conditions:
- Entry (Buy): When the smoothed Heiken Ashi candle color changes from red to green (indicating a potential start of an uptrend).
- Exit (Sell): When the smoothed Heiken Ashi candle color changes from green to red (indicating a potential end of an uptrend).
5. Position Sizing: The strategy uses a percentage of equity for position sizing, defaulting to 100% of available equity per trade. This should be tailored to each persons unique approach. Responsible trading would use less than 5% for each trade. The starting capital used is a responsible and conservative $1000, reflecting the average trader.
This strategy aims to provide a smooth, trend-following approach that may be particularly useful in markets with clear, sustained trends. However, it may lag in choppy or ranging markets due to its heavy smoothing. As with any strategy, it's important to thoroughly backtest and forward test before using it with real capital, and to consider using it in conjunction with other analysis tools and risk management techniques.
This has been created mainly to provide data to judge what time frame is most profitable for any single asset, as the volatility of each asset is different. This can bee seen using it on AUXUSD, which has a higher profitable result on the daily time frame, whereas other currencies need a higher or lower time frame. The user can toggle between each time frame and watch for the higher profit results within the strategy tester window.
Other smoothed Heiken Ashi indicators also do not provide buy and sell signals, and only show the change in color to dictate a change in trend. By adding buy and sell signals after the close of the candle in which the candle changes color, alerts can be programmed, which helps this be a more hands off protocol to experiment with. Other smoothed Heiken Ashi indicators do not allow for alarms to be set.
This is a unique HODL strategy which helps identify a change in trend, without the noise of day to day volatility. By switching to a line chart, it removes the candles altogether to avoid even more noise. The goal is to HODL a coin while the color is bullish in an uptrend, but once the indicator gives a sell signal, to sell the holdings back to a stable coin and let the chart ride down. Once the chart gives the next buy signal, use that same capital to buy back into the asset. In essence this removes potential losses, and helps buy back in cheaper, gaining more quantitity fo the asset, and therefore reducing your average initial buy in price.
Most HODL strategies ride the price up, miss selling at the top, then riding the price back down in anticipation that it will go back up to sell. This strategy will not hit the absolute tops, but it will greatly reduce potential losses.
ADX + CCI + MA - Uncle SamStrategy Name: ADX + CCI + MA - Uncle Sam
Overview
This strategy aims to capitalize on trending markets by combining the Average Directional Index (ADX), Commodity Channel Index (CCI), and a customizable Moving Average (MA). It's designed for traders seeking a balanced approach to both long (buy) and short (sell) opportunities. Special thanks to the creators of the ADX and CCI indicators for their invaluable contributions to technical analysis.
Strategy Concept
The core idea is to identify strong trends with the ADX, confirm potential entry points with the CCI, and use the MA to filter trades in the direction of the broader trend. This approach seeks to avoid entering positions during periods of consolidation or when the trend is weak.
Indicator Logic
ADX (Average Directional Index): The ADX measures the strength of a trend, regardless of its direction. A value above the customizable adx_threshold (default 20) signals a strong trend, making it a prime environment for this strategy.
CCI (Commodity Channel Index): The CCI is a momentum oscillator that helps identify overbought (above 100) and oversold (below -100) conditions. We use CCI crossovers to time entries in the direction of the prevailing trend.
MA (Moving Average): The MA acts as a trend filter, ensuring we only enter trades aligned with the overall market direction. You have flexibility in choosing the MA type (SMA, EMA, etc.) and its length to suit your trading style and timeframe.
Entry Conditions
Long (Buy):
ADX is above the adx_threshold.
CCI crosses above 100.
Price is above the chosen Moving Average (if MA trend filtering is enabled).
Short (Sell):
ADX is above the adx_threshold.
CCI crosses below -100.
Price is below the chosen Moving Average (if MA trend filtering is enabled).
Exit Conditions
Stop Loss (SL): Each position has a customizable stop-loss percentage to manage risk. The default setting is 1%.
Take Profit (TP): Each position has a customizable take-profit percentage to secure gains. The default setting is 5%.
MA-Based Risk Management (Optional): This feature allows for early exits if the price closes against the MA trend for a specified number of candles. The default setting is 2 candles.
Default Settings
CCI Period: 15
ADX Length: 10
ADX Threshold: 20
MA Type: HMA
MA Length: 200
MA Source: Close
Commission Fee: $0.0
A commission fee is not added, add your trading/platform commission for realistic trading costs.
Backtest Results
The strategy has been backtested on with the default settings and a starting capital of $1000, with 0.0% commission fee. It shows promising results.
Disclaimer: Backtesting is hypothetical and does not guarantee future performance.
Important Considerations:
Customization: The strategy offers extensive customization to tailor it to your preferences. Experiment with different parameters and settings to find what works best for your trading style.
Risk Management: Always use proper risk management techniques, including position sizing and stop losses, to protect your capital.
Advanced Gold Scalping Strategy with RSI Divergence# Advanced Gold Scalping Strategy with RSI Divergence
## Overview
This Pine Script implements an advanced scalping strategy for gold (XAUUSD) trading, primarily designed for the 1-minute timeframe. The strategy utilizes the Relative Strength Index (RSI) indicator along with its moving average to identify potential trade setups based on divergences between price action and RSI movements.
## Key Components
### 1. RSI Calculation
- Uses a customizable RSI length (default: 60)
- Allows selection of the source for RSI calculation (default: close price)
### 2. Moving Average of RSI
- Supports multiple MA types: SMA, EMA, SMMA (RMA), WMA, VWMA, and Bollinger Bands
- Customizable MA length (default: 3)
- Option to display Bollinger Bands with adjustable standard deviation multiplier
### 3. Divergence Detection
- Implements both bullish and bearish divergence identification
- Uses pivot high and pivot low points to detect divergences
- Allows for customization of lookback periods and range for divergence detection
### 4. Entry Conditions
- Long Entry: Bullish divergence when RSI is below 40
- Short Entry: Bearish divergence when RSI is above 60
### 5. Trade Management
- Stop Loss: Customizable, default set to 11 pips
- Take Profit: Customizable, default set to 33 pips
### 6. Visualization
- Plots RSI line and its moving average
- Displays horizontal lines at 30, 50, and 70 RSI levels
- Shows Bollinger Bands when selected
- Highlights divergences with "Bull" and "Bear" labels on the chart
## Input Parameters
- RSI Length: Adjusts the period for RSI calculation
- RSI Source: Selects the price source for RSI (close, open, high, low, hl2, hlc3, ohlc4)
- MA Type: Chooses the type of moving average applied to RSI
- MA Length: Sets the period for the moving average
- BB StdDev: Adjusts the standard deviation multiplier for Bollinger Bands
- Show Divergence: Toggles the display of divergence labels
- Stop Loss: Sets the stop loss distance in pips
- Take Profit: Sets the take profit distance in pips
## Strategy Logic
1. **RSI Calculation**:
- Computes RSI using the specified length and source
- Calculates the chosen type of moving average on the RSI
2. **Divergence Detection**:
- Identifies pivot points in both price and RSI
- Checks for higher lows in RSI with lower lows in price (bullish divergence)
- Checks for lower highs in RSI with higher highs in price (bearish divergence)
3. **Trade Entry**:
- Enters a long position when a bullish divergence is detected and RSI is below 40
- Enters a short position when a bearish divergence is detected and RSI is above 60
4. **Position Management**:
- Places a stop loss order at the entry price ± stop loss pips (depending on the direction)
- Sets a take profit order at the entry price ± take profit pips (depending on the direction)
5. **Visualization**:
- Plots the RSI and its moving average
- Draws horizontal lines for overbought/oversold levels
- Displays Bollinger Bands if selected
- Shows divergence labels on the chart for identified setups
## Usage Instructions
1. Apply the script to a 1-minute XAUUSD (Gold) chart in TradingView
2. Adjust the input parameters as needed:
- Increase RSI Length for less frequent but potentially more reliable signals
- Modify MA Type and Length to change the sensitivity of the RSI moving average
- Adjust Stop Loss and Take Profit levels based on current market volatility
3. Monitor the chart for Bull (long) and Bear (short) labels indicating potential trade setups
4. Use in conjunction with other analysis and risk management techniques
## Considerations
- This strategy is designed for short-term scalping and may not be suitable for all market conditions
- Always backtest and forward test the strategy before using it with real capital
- The effectiveness of divergence-based strategies can vary depending on market trends and volatility
- Consider using additional confirmation signals or filters to improve the strategy's performance
Remember to adapt the strategy parameters to your risk tolerance and trading style, and always practice proper risk management.
Versatile Moving Average StrategyVersatile Moving Average Strategy (VMAS)
Overview:
The Versatile Moving Average Strategy (VMAS) is designed to provide traders with a flexible approach to trend-following, utilizing multiple types of moving averages. This strategy allows for customization in choosing the moving average type and length, catering to various market conditions and trading styles.
Key Features:
- Multiple Moving Average Types: Choose from SMA, EMA, SMMA (RMA), WMA, VWMA, HULL, LSMA, and ALMA to best suit your trading needs.
- Customizable Inputs: Adjust the moving average length, source of price data, and stop-loss source to fine-tune the strategy.
- Target Percent: Set the percentage difference between successive profit targets to manage your risk and rewards effectively.
- Position Management: Enable or disable long and short positions, allowing for versatility in different market conditions.
- Commission and Slippage: The strategy includes realistic commission settings to ensure accurate backtesting results.
Strategy Logic:
1. Moving Average Calculation: The selected moving average is calculated based on user-defined parameters.
2. Entry Conditions:
- A long position is entered when the entry source crosses over the moving average, if long positions are enabled.
- A short position is entered when the entry source crosses under the moving average, if short positions are enabled.
3. Stop-Loss: Positions are closed if the stop-loss source crosses the moving average in the opposite direction.
4. Profit Targets: Multiple profit targets are defined, with each target set at an incremental percentage above (for long positions) or below (for short positions) the entry price.
Default Properties:
- Account Size: $10000
- Commission: 0.01% per trade
- Risk Management: Positions are sized to risk 80% of the equity per trade, because we get very tight stoploss when position is open.
- Sample Size: Backtesting has been conducted to ensure a sufficient sample size of trades, ideally more than 100 trades.
How to Use:
1. Configure Inputs: Set your preferred moving average type, length, and other input parameters.
2. Enable Positions: Choose whether to enable long, short, or both types of positions.
3. Backtest and Analyze: Run backtests with realistic settings and analyze the results to ensure the strategy aligns with your trading goals.
4. Deploy and Monitor: Once satisfied with the backtesting results, deploy the strategy in a live environment and monitor its performance.
This strategy is suitable for traders looking to leverage moving averages in a versatile and customizable manner. Adjust the parameters to match your trading style and market conditions for optimal results.
Note: Ensure the strategy settings used for publication are the same as those described here. Always conduct thorough backtesting before deploying any strategy in a live trading environment.
Bloodbath IndicatorThis indicator identifies days where the number of new 52-week lows for all issues exceeds a user-defined threshold (default 4%), potentially signaling a market downturn. The background of the chart turns red on such days, providing a visual alert to traders following the "Bloodbath Sidestepping" strategy.
Based on: "THE RIPPLE EFFECT OF DAILY NEW LOWS," By Ralph Vince and Larry Williams, 2024 Charles H. Dow Award Winner
threshold: Percentage of issues making new 52-week lows to trigger the indicator (default: 4.0).
Usage:
The chart background will turn red on days exceeding the threshold of new 52-week lows.
Limitations:
This indicator relies on historical data and doesn't guarantee future performance.
It focuses solely on new 52-week lows and may miss other market signals.
The strategy may generate false positives and requires further analysis before trading decisions.
Disclaimer:
This script is for informational purposes only and should not be considered financial advice. Always conduct your own research before making any trading decisions.
VAWSI and Trend Persistance Reversal Strategy SL/TPThis is a completely revamped version of my "RSI and ATR Trend Reversal Strategy."
What's New?
The RSI has been replaced with an original indicator of mine, the "VAWSI," as I've elected to call it.
The standard RSI measures a change in an RMA to determine the strength of a movement.
The VAWSI performs very similarly, except it uses another original indicator of mine, the VAWMA.
VAWMA stands for "Volume (and) ATR Weight Moving Average." It takes an average of the volume and ATR and uses the ratio of each bar to weigh a moving average of the source.
It has the same formula as an RSI, but uses the VAWMA instead of an RMA.
Next we have the Trend Persistence indicator, which is an index on how long a trend has been persisting for. It is another original indicator. It takes the max deviation the source has from lowest/highest of a specified length. It then takes a cumulative measure of that amount, measures the change, then creates a strength index with that amount.
The VAWSI is a measure of an emerging trend, and the Trend Persistence indicator is a measure of how long a trend has persisted.
Finally, the 3rd main indicator, is a slight variation of an ATR. Rather than taking the max of source - low or high- source and source - source , it instead takes the max of high-low and the absolute value of source - the previous source. It then takes the absolute value of the change of this, and normalizes it with the source.
Inputs
Minimum SL/TP ensures that the Stop Loss and Take Profit still exist in untrendy markets. This is the minimum Amount that will always be applied.
VAWSI Weight is a divided by 100 multiplier for the VAWSI. So value of 200 means it is multiplied by 2. Think of it like a percentage.
Trend Persistence weight and ATR Weight are applied the same. Higher the number, the more impactful on the final calculation it is.
Combination Mult is an outright multiplier to the final calculation. So a 2.0 = * 2.0
Trend Persistence Smoothing Length is the length of the weighted moving average applied to the Trend Persistence Strength index.
Length Cycle Decimal is a replacement of length for the script.
Here we used BlackCat1402's Dynamic Length Calculation, which can be found on his page. With his permission we have implemented it into this script. Big shout out to them for not only creating, but allowing us to use it here.
The Length Cycle Decimal is used to calculate the dynamic length. Because TradingView only allows series int for their built-in library, a lot of the baseline indicators we use have to be manually recreated as functions in the following section.
The Strategy
As usual, we use Heiken Ashi values for calculations.
We begin by establishing the minimum SL/TP for use later.
Next we determine the amount of bars back since the last crossup or crossdown of our threshold line.
We then perform some normalization of our multipliers. We want a larger trend or larger VAWSI amount to narrow the threshold, so we have 1 divide them. This way, a higher reading outputs a smaller number and vice versa. We do this for both Trend Persistence, and the VAWSI.
The VAWSI we also normalize, where rather than it being a 0-100 reading of trend direction and strength, we absolute it so that as long as a trend is strong, regardless of direction, it will have a higher reading. With these normalized values, we add them together and simply subtract the ATR measurement rather than having 1 divide it.
Here you can see how the different measurements add up. A lower final number suggests imminent reversal, and a higher final number suggests an untrendy or choppy market.
ATR is in orange, the Trend Persistence is blue, the VAWSI is purple, and the final amount is green.
We take this final number and depending on the current trend direction, we multiply it by either the Highest or Lowest source since the last crossup or crossdown. We then take the highest or lowest of this calculation, and have it be our Stop Loss or Take Profit. This number cannot be higher/lower than the previous source to ensure a rapid spike doesn't immediately close your position on a still continuing trend. As well, the threshold cannot be higher/ lower than the the specified Stop Loss and Take Profit
Only after the source has fully crossed these lines do we consider it a crossup or crossdown. We confirm this with a barstate.isconfirmed to prevent repainting. Next, each time there is a crossup or crossdown we enter a long or a short respectively and plot accordingly.
I have the strategy configured to "process on order close" to ensure an accurate backtesting result. You could also set this to false and add a 1 bar delay to the "if crossup" and "if crossdown" lines under strategy so that it is calculated based on the open of the next bar.
Final Notes
The amounts have been preconfigured for performance on RIOT 5 Minute timeframe. Other timeframes are viable as well. With a few changes to the parameters, this strategy has backtested well on NVDA, AAPL, TSLA, and AMD. I recommend before altering settings to try other timeframes first.
This script does not seem to perform nearly as well in typically untrendy and choppy markets such as crypto and forex. With some setting changes, I have seen okay results with crypto, but overfitting could be the cause there.
Thank you very much, and please enjoy.
Custom Signal Oscillator StrategyThe CSO is made to help traders easily test their theories by subtracting the difference between two customizable plots(indicators) without having to search for strategies. The general purpose is to provide a tool to users without coding knowledge.
How to use :
Apply the indicator(s) to test
Go to the CSO strategy input settings and select the desired plots from the added indicators. (The back test will enter long or short depending on the fast signal crosses on the slow signal)
Pull up the strategy tester
Adjust the input settings on the selected indicator(s) to back test
For example, the published strategy is using the basis lines from two Donchian channels with varying length. This can be utilized with multiple overlays on the chart and oscillators that are operating on the same scale with each other. Since chart glows aren't extremely common, a glow option is included to stand out on the chart as the chain operator. A long only option for is also included for versatility.
market slayerInput Parameters:
Various input parameters allow customization of the strategy, including options to show trend confirmation, specify trend timeframes and values, set SMA lengths, enable take profit and stop loss, and define their respective values.
Calculations:
Simple Moving Averages (SMAs) are calculated based on the specified lengths.
Buy and sell signals are generated based on the crossover and crossunder of the short and long SMAs.
Confirmation Bars:
Functions are defined to determine bullish or bearish confirmation bars based on certain conditions.
These confirmation bars are used to confirm trend direction and generate additional signals.
Plotting:
SMAs are plotted on the chart.
Trend labels and signal markers are plotted based on the calculated conditions.
Trade Signals:
Buy and sell conditions are defined based on the crossover/crossunder of SMAs and confirmation of trend direction.
Strategy entries and exits are executed accordingly.
Take Profit and Stop Loss:
Optional take profit and stop loss functionality is included.
Trades are automatically closed when profit or loss thresholds are reached.
Closing Trades:
Trades are also closed based on changes in trend confirmation bars to ensure alignment with the overall market direction.
Alerts:
Alert conditions are defined for opening and closing trades, providing notifications when certain conditions are met.
Overall, this script aims to provide a systematic approach to trading by combining moving average crossovers with trend confirmation bars, along with options for risk management through take profit and stop loss orders. Users can customize various parameters to adapt the strategy to different market conditions and trading preferences.
The script uses the request.security() function with the lookahead parameter set to barmerge.lookahead_on to access data from a higher timeframe within the Pine Script on TradingView. Let's break down why it's used:
Higher Timeframe Analysis:
By default, Pine Script operates on the timeframe of the chart it's applied to. However, in trading strategies, it's common to incorporate signals or data from higher timeframes to confirm or validate signals generated on lower timeframes. This helps traders to align their trades with the broader market trend.
Trend Confirmation:
In this script, the confirmationTrendTimeframe parameter allows users to specify a higher timeframe for trend confirmation. The request.security() function fetches the data from this higher timeframe and applies the defined conditions to confirm the trend direction.
Lookahead Behavior:
The lookahead parameter set to barmerge.lookahead_on ensures that the script considers the most up-to-date information available on the higher timeframe when making trading decisions on the lower timeframe. This prevents the script from lagging behind or using outdated data, enhancing the accuracy of trend confirmation.
Usage in confirmationTrendBullish and confirmationTrendBearish:
These variables are assigned the values returned by the request.security() function, which represents the bullish or bearish trend confirmation based on the conditions applied to the data from the higher timeframe.
KumoTrade Ichimoku StrategyThe KumoTrade Ichimoku Strategy is an advanced trading strategy designed to help users identify market trends and potential trading opportunities using the Ichimoku Kinko Hyo technical analysis indicator. This strategy leverages the Ichimoku cloud (Kumo) along with other crucial indicators such as the Tenkan-sen and Kijun-sen lines to generate strong signals.
Main Components of the Strategy:
Tenkan-sen (Conversion Line): Indicates the short-term direction of the price, typically calculated as the average of the highest high and the lowest low over the past 9 periods.
Kijun-sen (Base Line): Indicates the medium-term direction of the price, usually calculated as the average of the highest high and the lowest low over the past 26 periods.
Senkou Span A and Senkou Span B: These two lines form the cloud (Kumo), which projects future support and resistance levels.
Chikou Span (Lagging Span): Plots the current closing price 26 periods back to measure the market's momentum.
Strategy Rules:
Bullish Bias (Bias Bull): Indicates that the prices are in a long-term uptrend. In this strategy, this is confirmed if the low prices are above the daily EMA (Exponential Moving Average).
Kijun Sen Touch Down: Occurs when prices cross below the Kijun-sen line and then close back above it, indicating a potential bullish reversal.
Tenkan-Kijun Cross Up: A bullish signal generated when the Tenkan-sen line crosses above the Kijun-sen line.
Close Over Tenkan and Kijun: A strong bullish signal when the close price crosses above both the Tenkan-sen and Kijun-sen lines.
Trading Setups:
Long Setup: Generated when the Kijun-sen is above the highest point of the Kumo (senkou_max) and the closing price is below the lowest point of the Kumo (senkou_min). This setup is checked over the last 21 bars.
Short Setup: Generated when the Kijun-sen is below the lowest point of the Kumo (senkou_min) and the closing price is above the highest point of the Kumo (senkou_max). This setup is also checked over the last 21 bars. (Not avalible yet)
Entry Conditions:
Ultra Long Entry: This condition checks for a bullish bias, the Tenkan-Kijun cross up or Kijun Sen touch down, high volume, and that the price is not within the Kumo cloud.
Main Long Entry: This condition requires the closing price to be above the Kumo cloud, a green Kumo cloud, a bullish bias, the Tenkan rule, and that the price is not within the Kumo cloud.
Exit Conditions:
A trailing stop loss is implemented to protect profits. The stop loss level is dynamically updated based on the highest high of the last 5 bars minus three times the ATR (Average True Range) value.
Visuals on the Chart:
The Tenkan-sen and Kijun-sen lines are plotted for visual reference.
The Kumo cloud is displayed with different colors indicating bullish (green) or bearish (red) conditions.
Entry points are marked on the chart, and the trailing stop loss levels are plotted as well.
The KumoTrade Ichimoku Strategy aims to provide a comprehensive approach to trading by combining multiple aspects of the Ichimoku indicator to generate reliable trading signals and manage risk effectively.
