IsAlgo - Support & Resistance Strategy► Overview:
The Support & Resistance Strategy is designed to identify critical support and resistance levels and execute trades when the price crosses these levels. Utilizing a combination of a moving average, ATR indicator, and the highest and lowest prices, this strategy aims to accurately pinpoint entry and exit points for trades based on market movements.
► Description:
The Support & Resistance Strategy leverages the ATR (Average True Range) and a moving average to identify key support and resistance levels. The strategy calculates these levels by measuring the distance between the current market price and the moving average. This distance is continuously compared with each new candle to provide an estimate of the support and resistance levels.
The ATR is utilized to determine the width of these levels, ensuring they adjust to market volatility. To validate these levels, the strategy counts how often a candle’s low or high touches the estimated support or resistance and then bounces back. A higher frequency of such touches indicates a stronger, more reliable level.
Once the levels are confirmed, the strategy waits for a candle to close above the resistance level or below the support level. A candle closing above the resistance triggers a long entry, while a candle closing below the support triggers a short entry.
The strategy incorporates multiple stop-loss options to manage risk effectively. These options include setting stop-loss levels based on fixed pips, ATR calculations, or the highest/lowest prices of previous candles. Up to three take-profit levels can be set using fixed pips, ATR, or risk-to-reward ratios. A trailing stop feature adjusts the stop loss as the trade moves into profit, and a break-even feature moves the stop loss to the entry price once a certain profit level is reached.
Additionally, the strategy can close trades if the price crosses the opposite support or resistance level or if a candle moves significantly against the trade direction.
↑ Long Entry Example:
↓ Short Entry Example:
► Features & Settings:
⚙︎ Levels: Configure the length, width, and ATR period for support and resistance levels.
⚙︎ Moving Average: Use an Exponential Moving Average (EMA) to confirm trend direction. This can be enabled or disabled.
⚙︎ Entry Candle: Define the minimum and maximum body size and the body-to-candle size ratio for entry candles.
⚙︎ Trading Session: Specify the trading hours during which the strategy operates.
⚙︎ Trading Days: Select which days of the week the strategy is active.
⚙︎ Backtesting: Set a backtesting period with start and end dates. This feature can be deactivated.
⚙︎ Trades: Customize trade direction (long, short, or both), position sizing (fixed or percentage-based), maximum open trades, and daily trade limits.
⚙︎ Trades Exit: Choose from various exit methods, including profit/loss limits, trade duration, or crossing the opposite support/resistance level.
⚙︎ Stop Loss: Set stop-loss levels using fixed pips, ATR-based calculations, or the highest/lowest price within a specified number of previous candles.
⚙︎ Break Even: Adjust the stop loss to break-even once certain profit conditions are met.
⚙︎ Trailing Stop: Automatically adjust the stop loss as the trade moves into profit.
⚙︎ Take Profit: Define up to three take-profit levels using fixed pips, ATR, or risk-to-reward ratios based on the stop loss.
⚙︎ Alerts: Receive alerts for significant actions such as trade openings and closings, with support for dynamic values.
⚙︎ Dashboard: A visual display on the chart providing detailed information about ongoing and past trades.
► Backtesting Details:
Timeframe: 1-hour US30 chart
Initial Balance: $10,000
Order Size: 5 Units
Commission: $0.5 per contract
Slippage: 5 ticks
Stop Loss: Based on the opposite support/resistance level or break-even adjustments
Cerca negli script per "alert"
AlgoBuilder [Trend-Following] | FractalystWhat's the strategy's purpose and functionality?
This strategy is designed for both traders and investors looking to rely on and trade based on historical and backtested data using automation. The main goal is to build profitable trend-following strategies that outperform the underlying asset in terms of returns while minimizing drawdown. For example, as for a benchmark, if the S&P 500 (SPX) has achieved an estimated 10% annual return with a maximum drawdown of -57% over the past 20 years, using this strategy with different entry and exit techniques, users can potentially seek ways to achieve a higher Compound Annual Growth Rate (CAGR) while maintaining a lower maximum drawdown.
Although the strategy can be applied to all markets and timeframes, it is most effective on stocks, indices, future markets, cryptocurrencies, and commodities and JPY currency pairs given their trending behaviors.
In trending market conditions, the strategy employs a combination of moving averages and diverse entry models to identify and capitalize on upward market movements. It integrates market structure-based trailing stop-loss mechanisms across different timeframes and provides exit techniques, including percentage-based and risk-reward (RR) based take profit levels.
Additionally, the strategy has also a feature that includes a built-in probability and sentiment function for traders who want to implement probabilities and market sentiment right into their trading strategies.
Performance summary, weekly, and monthly tables enable quick visualization of performance metrics like net profit, maximum drawdown, compound annual growth rate (CAGR), profit factor, average trade, average risk-reward ratio (RR), and more. This aids optimization to meet specific goals and risk tolerance levels effectively.
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How does the strategy perform for both investors and traders?
The strategy has two main modes, tailored for different market participants: Traders and Investors.
Trading:
1. Trading (1x):
- Designed for traders looking to capitalize on bullish trending markets.
- Utilizes a percentage risk per trade to manage risk and optimize returns.
- Suitable for active trading with a focus on trend-following and risk management.
- (1x) This mode ensures no stacking of positions, allowing for only one running position or trade at a time.
◓: Mode | %: Risk percentage per trade
2. Trading (2x):
Similar to the 1x mode but allows for two pyramiding entries.
This approach enables traders to increase their position size as the trade moves in their favor, potentially enhancing profits during strong bullish trends.
◓: Mode | %: Risk percentage per trade
3. Investing:
- Geared towards investors who aim to capitalize on bullish trending markets without using leverage while mitigating the asset's maximum drawdown.
- Utilizes 100% of the equity to buy, hold, and manage the asset.
- Focuses on long-term growth and capital appreciation by fully investing in the asset during bullish conditions.
- ◓: Mode | %: Risk not applied (In investing mode, the strategy uses 100% of equity to buy the asset)
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What's the purpose of using moving averages in this strategy? What are the underlying calculations?
Using moving averages is a widely-used technique to trade with the trend.
The main purpose of using moving averages in this strategy is to filter out bearish price action and to only take trades when the price is trading ABOVE specified moving averages.
The script uses different types of moving averages with user-adjustable timeframes and periods/lengths, allowing traders to try out different variations to maximize strategy performance and minimize drawdowns.
By applying these calculations, the strategy effectively identifies bullish trends and avoids market conditions that are not conducive to profitable trades.
The MA filter allows traders to choose whether they want a specific moving average above or below another one as their entry condition.
This comparison filter can be turned on (>/<) or off.
For example, you can set the filter so that MA#1 > MA#2, meaning the first moving average must be above the second one before the script looks for entry conditions. This adds an extra layer of trend confirmation, ensuring that trades are only taken in more favorable market conditions.
MA #1: Fast MA | MA #2: Medium MA | MA #3: Slow MA
⍺: MA Period | Σ: MA Timeframe
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What entry modes are used in this strategy? What are the underlying calculations?
The strategy by default uses two different techniques for the entry criteria with user-adjustable left and right bars: Breakout and Fractal.
1. Breakout Entries :
- The strategy looks for pivot high points with a default period of 3.
- It stores the most recent high level in a variable.
- When the price crosses above this most recent level, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot high left bars period | ◨: Pivot high right bars period
2. Fractal Entries :
- The strategy looks for pivot low points with a default period of 3.
- When a pivot low is detected, the strategy checks if all conditions are met and the bar is closed before taking the buy entry.
◧: Pivot low left bars period | ◨: Pivot low right bars period
By utilizing these entry modes, the strategy aims to capitalize on bullish price movements while ensuring that the necessary conditions are met to validate the entry points.
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What type of stop-loss identification method are used in this strategy? What are the underlying calculations?
Initial Stop-Loss:
1. ATR Based:
The Average True Range (ATR) is a method used in technical analysis to measure volatility. It is not used to indicate the direction of price but to measure volatility, especially volatility caused by price gaps or limit moves.
Calculation:
- To calculate the ATR, the True Range (TR) first needs to be identified. The TR takes into account the most current period high/low range as well as the previous period close.
The True Range is the largest of the following:
- Current Period High minus Current Period Low
- Absolute Value of Current Period High minus Previous Period Close
- Absolute Value of Current Period Low minus Previous Period Close
- The ATR is then calculated as the moving average of the TR over a specified period. (The default period is 14).
Example - ATR (14) * 1.5
⍺: ATR period | Σ: ATR Multiplier
2. ADR Based:
The Average Day Range (ADR) is an indicator that measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
Calculation:
- To calculate the ADR for a particular day:
- Calculate the average of the high prices over a specified number of days.
- Calculate the average of the low prices over the same number of days.
- Find the difference between these average values.
- The default period for calculating the ADR is 14 days. A shorter period may introduce more noise, while a longer period may be slower to react to new market movements.
Example - ADR (14) * 1.5
⍺: ADR period | Σ: ADR Multiplier
Application in Strategy:
- The strategy calculates the current bar's ADR/ATR with a user-defined period.
- It then multiplies the ADR/ATR by a user-defined multiplier to determine the initial stop-loss level.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop.
Trailing Stop-Loss:
One of the key elements of this strategy is its ability to detec buyside and sellside liquidity levels across multiple timeframes to trail the stop-loss once the trade is in running profits.
By utilizing this approach, the strategy allows enough room for price to run.
There are two built-in trailing stop-loss (SL) options you can choose from while in a trade:
1. External Trailing Stop-Loss:
- Uses sell-side liquidity to trail your stop-loss, allowing price to consolidate before continuation. This method is less aggressive and provides more room for price fluctuations.
Example - External - Wick below the trailing SL - 12H trailing timeframe
⍺: Exit type | Σ: Trailing stop-loss timeframe
2. Internal Trailing Stop-Loss:
- Uses the most recent swing low with a period of 2 to trail your stop-loss. This method is more aggressive compared to the external trailing stop-loss, as it tightens the stop-loss closer to the current price action.
Example - Internal - Close below the trailing SL - 6H trailing timeframe
⍺: Exit type | Σ: Trailing stop-loss timeframe
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance.
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What type of break-even and take profit identification methods are used in this strategy? What are the underlying calculations?
For Break-Even:
- You can choose to set a break-even level at which your initial stop-loss moves to the entry price as soon as it hits, and your trailing stop-loss gets activated (if enabled).
- You can select either a percentage (%) or risk-to-reward (RR) based break-even, allowing you to set your break-even level as a percentage amount above the entry price or based on RR.
For TP1 (Take Profit 1):
- You can choose to set a take profit level at which your position gets fully closed or 50% if the TP2 boolean is enabled.
- Similar to break-even, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP1 level as a percentage amount above the entry price or based on RR.
For TP2 (Take Profit 2):
- You can choose to set a take profit level at which your position gets fully closed.
- As with break-even and TP1, you can select either a percentage (%) or risk-to-reward (RR) based take profit level, allowing you to set your TP2 level as a percentage amount above the entry price or based on RR.
The underlying calculations involve determining the price levels at which these actions are triggered. For break-even, it moves the initial stop-loss to the entry price and activate the trailing stop-loss once the break-even level is reached.
For TP1 and TP2, it's specifying the price levels at which the position is partially or fully closed based on the chosen method (percentage or RR) above the entry price.
These calculations are crucial for managing risk and optimizing profitability in the strategy.
⍺: BE/TP type (%/RR) | Σ: how many RR/% above the current price
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What's the ADR filter? What does it do? What are the underlying calculations?
The Average Day Range (ADR) measures the volatility of an asset by showing the average movement of the price between the high and the low over the last several days.
The period of the ADR filter used in this strategy is tied to the same period you've used for your initial stop-loss.
Users can define the minimum ADR they want to be met before the script looks for entry conditions.
ADR Bias Filter:
- Compares the current bar ADR with the ADR (Defined by user):
- If the current ADR is higher, it indicates that volatility has increased compared to ADR (DbU).(⬆)
- If the current ADR is lower, it indicates that volatility has decreased compared to ADR (DbU).(⬇)
Calculations:
1. Calculate ADR:
- Average the high prices over the specified period.
- Average the low prices over the same period.
- Find the difference between these average values in %.
2. Current ADR vs. ADR (DbU):
- Calculate the ADR for the current bar.
- Calculate the ADR (DbU).
- Compare the two values to determine if volatility has increased or decreased.
By using the ADR filter, the strategy ensures that trades are only taken in favorable market conditions where volatility meets the user's defined threshold, thus optimizing entry conditions and potentially improving the overall performance of the strategy.
>: Minimum required ADR for entry | %: Current ADR comparison to ADR of 14 days ago.
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What's the probability filter? What are the underlying calculations?
The probability filter is designed to enhance trade entries by using buyside liquidity and probability analysis to filter out unfavorable conditions.
This filter helps in identifying optimal entry points where the likelihood of a profitable trade is higher.
Calculations:
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Equilibrium levels.
3. Understanding probability calculations
1. Upon the formation of a new range, the script waits for the price to reach and tap into equilibrium or the 50% level. Status: "⏸" - Inactive
2. Once equilibrium is tapped into, the equilibrium status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
5. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
Example - BSL > 50%
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What's the sentiment Filter? What are the underlying calculations?
Sentiment filter aims to calculate the percentage level of bullish or bearish fluctuations within equally divided price sections, in the latest price range.
Calculations:
This filter calculates the current sentiment by identifying the highest swing high and the lowest swing low, then evenly dividing the distance between them into percentage amounts. If the price is above the 50% mark, it indicates bullishness, whereas if it's below 50%, it suggests bearishness.
Sentiment Bias Identification:
Bullish Bias: The current price is trading above the 50% daily range.
Bearish Bias: The current price is trading below the 50% daily range.
Example - Sentiment Enabled | Bullish degree above 50% | Bullish sentimental bias
>: Minimum required sentiment for entry | %: Current sentimental degree in a (Bullish/Bearish) sentimental bias
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What's the range length Filter? What are the underlying calculations?
The range length filter identifies the price distance between buyside and sellside liquidity levels in percentage terms. When enabled, the script only looks for entries when the minimum range length is met. This helps ensure that trades are taken in markets with sufficient price movement.
Calculations:
Range Length (%) = ( ( Buyside Level − Sellside Level ) / Current Price ) ×100
Range Bias Identification:
Bullish Bias: The current range price has broken above the previous external swing high.
Bearish Bias: The current range price has broken below the previous external swing low.
Example - Range length filter is enabled | Range must be above 5% | Price must be in a bearish range
>: Minimum required range length for entry | %: Current range length percentage in a (Bullish/Bearish) range
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What's the day filter Filter, what does it do?
The day filter allows users to customize the session time and choose the specific days they want to include in the strategy session. This helps traders tailor their strategies to particular trading sessions or days of the week when they believe the market conditions are more favorable for their trading style.
Customize Session Time:
Users can define the start and end times for the trading session.
This allows the strategy to only consider trades within the specified time window, focusing on periods of higher market activity or preferred trading hours.
Select Days:
Users can select which days of the week to include in the strategy.
This feature is useful for excluding days with historically lower volatility or unfavorable trading conditions (e.g., Mondays or Fridays).
Benefits:
Focus on Optimal Trading Periods:
By customizing session times and days, traders can focus on periods when the market is more likely to present profitable opportunities.
Avoid Unfavorable Conditions:
Excluding specific days or times can help avoid trading during periods of low liquidity or high unpredictability, such as major news events or holidays.
Increased Flexibility: The filter provides increased flexibility, allowing traders to adapt the strategy to their specific needs and preferences.
Example - Day filter | Session Filter
θ: Session time | Exchange time-zone
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What tables are available in this script?
Table Type:
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades, Compound Annual Growth Rate (CAGR), MAR and more.
CAGR: It calculates the 'Compound Annual Growth Rate' first and last taken trades on your chart. The CAGR is a notional, annualized growth rate that assumes all profits are reinvested. It only takes into account the prices of the two end points — not drawdowns, so it does not calculate risk. It can be used as a yardstick to compare the performance of two strategies. Since it annualizes values, it requires a minimum 4H timeframe to display the CAGR value. annualizing returns over smaller periods of times doesn't produce very meaningful figures.
MAR: Measure of return adjusted for risk: CAGR divided by Max Drawdown. Indicates how comfortable the system might be to trade. Higher than 0.5 is ideal, 1.0 and above is very good, and anything above 3.0 should be considered suspicious and you need to make sure the total number of trades are high enough by running a Deep Backtest in strategy tester. (available for TradingView Premium users.)
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most trend-following successful strategies have a percent profitability of 15-40% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- OFF: Hides the performance table.
Labels:
- OFF: Hides labels in the performance table.
- PnL: Shows the profit and loss of each trade individually, providing detailed insights into the performance of each trade.
- Range: Shows the range length and Average Day Range (ADR), offering additional context about market conditions during each trade.
Profit Color:
- Allows users to set the color for representing profit in the performance table, helping to quickly distinguish profitable periods.
Loss Color:
- Allows users to set the color for representing loss in the performance table, helping to quickly identify loss-making periods.
These customizable tables provide traders with flexible and detailed performance analysis, aiding in better strategy evaluation and optimization.
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User-input styles and customizations:
To facilitate studying historical data, all conditions and rules can be applied to your charts. By plotting background colors on your charts, you'll be able to identify what worked and what didn't in certain market conditions.
Please note that all background colors in the style are disabled by default to enhance visualization.
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How to Use This Algobuilder to Create a Profitable Edge and System:
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker or prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 100 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade value is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, MAR (Mar Ratio), CAGR (Compound Annual Growth Rate), and net profit with minimum drawdown. Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
Automation:
- Once you’re confident in your strategy, you can use the automation section to connect the algorithm to your broker or prop firm.
- Trade a fully automated and backtested trading strategy, allowing for hands-free execution and management.
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What makes this strategy original?
1. Incorporating direct integration of probabilities into the strategy.
2. Leveraging market sentiment to construct a profitable approach.
3. Utilizing built-in market structure-based trailing stop-loss mechanisms across various timeframes.
4. Offering both investing and trading strategies, facilitating optimization from different perspectives.
5. Automation for efficient execution.
6. Providing a summary table for instant access to key parameters of the strategy.
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How to use automation?
For Traders:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Enter your PineConnector License ID in the designated field.
3. Specify the desired risk level.
4. Provide the Metatrader symbol.
5. Check for chart updates to ensure the automation table appears on the top right corner, displaying your License ID, risk, and symbol.
6. Set up an alert with the strategy selected as Condition and the Message as {{strategy.order.alert_message}}.
7. Activate the Webhook URL in the Notifications section, setting it as the official PineConnector webhook address.
8. Double-check all settings on PineConnector to ensure the connection is successful.
9. Create the alert for entry/exit automation.
For Investors:
1. Ensure the strategy parameters are properly set based on your optimized parameters.
2. Choose "Investing" in the user-input settings.
3. Create an alert with a specified name.
4. Customize the notifications tab to receive alerts via email.
5. Buying/selling alerts will be triggered instantly upon entry or exit order execution.
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Strategy Properties
This script backtest is done on 4H COINBASE:BTCUSD , using the following backtesting properties:
Balance: $5000
Order Size: 10% of the equity
Risk % per trade: 1%
Commission: 0.04% (Default commission percentage according to TradingView competitions rules)
Slippage: 75 ticks
Pyramiding: 2
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Heikin Ashi Smoothed Buy Sell with Filters Backtest What is the Heikin Ashi Smoothed Buy Sell with Filters Backtest ?
It is the backtesting version of the Heikin Ashi Smoothed Buy Sell with Filters indicator.
This Pine Script code defines a complex indicator used to determine buy-sell signals on financial charts. The indicator operates based on the smoothed version of Heikin Ashi and is fortified with various filters.
1. Parameters and Settings:
At the start of the code, there are a series of input parameters for the user to customize the indicator. These parameters include:
Trend Filter: Checks whether it is above or below the long-term moving average.
Momentum Filter: Uses the RSI (Relative Strength Index) indicator to check if the market is overbought or oversold.
Volatility Filter: Evaluates the market's volatility level using the ATR (Average True Range) indicator.
Volume Filters: Uses various volume-related parameters to measure the strength of the trade signal.
Trade Settings: Specifies percentage values for target and stop-loss levels to be used in trading.
Moving Average Settings: Allows you to select which moving average to use and its duration.
2. Heikin Ashi Smoothed Calculations:
Heikin Ashi is a charting method used to more clearly represent price movements. The smoothed Heikin Ashi ensures smoother price movements.
3. Moving Average Calculations:
The indicator contains a function to calculate different types of moving averages. These moving averages are used to determine the market trend.
4. Filters:
This indicator includes a series of filters to enhance the quality of the signal. Filters help reduce false signals and produce more robust trading signals.
5. Buy-Sell Signals:
All these filters and calculations are brought together to determine potential buy and sell signals. Signals are triggered when all the specified conditions are met.
6. Chart Visualizations:
This indicator uses various plotting functions to visualize signals and trend information on the chart. This allows the user to easily see signals and the trend on the chart.
7. Trade Settings:
When buy and sell signals are triggered, this section checks if it has reached the specified targets and stop-loss levels.
8. Alerts:
This indicator also sends alerts to the user when specific conditions are met. This ensures that the user doesn't miss potential trading opportunities.
In conclusion, this Pine Script indicator produces buy-sell signals by analyzing market movements and applying various filters. Based on the smoothed version of Heikin Ashi, this indicator is useful for trend followers and is fortified with various filters, thus enhancing the quality of trading signals.
Heikin Ashi Smoothed Buy Sell with Filters Backtest Nedir?
Heikin Ashi Smoothed Buy Sell with Filters indikatörünün backtest yapan versiyonudur
Bu Pine Script kodu, finansal grafiklerde al-sat sinyallerini belirlemek için kullanılan karmaşık bir göstergeyi tanımlar. Gösterge, Heikin Ashi'nin yumuşatılmış sürümünü temel alarak çalışır ve çeşitli filtrelerle güçlendirilmiştir.
1. Parametreler ve Ayarlar:
Kodun başlangıcında, kullanıcının göstergeyi kişiselleştirmesi için bir dizi giriş parametresi bulunmaktadır. Bu parametreler şunları içerir:
Trend Filtresi: Uzun vadeli hareketli ortalamanın üstünde veya altında olup olmadığını kontrol eder.
Momentum Filtresi: RSI (Göreceli Güç Endeksi) göstergesini kullanarak piyasanın aşırı alım veya aşırı satım durumunu kontrol eder.
Oynaklık Filtresi: ATR (Ortalama Gerçek Aralık) göstergesi ile piyasanın oynaklık seviyesini değerlendirir.
Hacim Filtreleri: Ticaret sinyalinin gücünü ölçmek için hacimle ilgili çeşitli parametreleri kullanır.
Ticaret Ayarları: Ticarette kullanılacak hedef ve stop-loss seviyeleri için yüzdelik değerleri belirtir.
Hareketli Ortalama Ayarları: Hangi hareketli ortalamayı kullanacağınızı ve bu ortalamanın süresini seçmenizi sağlar.
2. Heikin Ashi Yumuşatılmış Hesaplamaları:
Heikin Ashi, fiyat hareketlerini daha net bir şekilde göstermek için kullanılan bir grafikleme yöntemidir. Yumuşatılmış Heikin Ashi, fiyat hareketlerinin daha pürüzsüz olmasını sağlar.
3. Hareketli Ortalama Hesaplamaları:
Gösterge, farklı türde hareketli ortalamaları hesaplamak için bir fonksiyon içerir. Bu hareketli ortalamalar, piyasa trendini belirlemek için kullanılır.
4. Filtreler:
Bu gösterge, sinyal kalitesini artırmak için bir dizi filtre içerir. Filtreler, yanlış sinyalleri azaltmaya yardımcı olur ve daha sağlam ticaret sinyalleri üretir.
5. Al-Sat Sinyalleri:
Tüm bu filtreler ve hesaplamalar, potansiyel al ve sat sinyallerini belirlemek için bir araya getirilir. Sinyaller, belirlenen koşulların tümü karşılandığında tetiklenir.
6. Grafik Görselleştirmeleri:
Bu gösterge, sinyalleri ve trend bilgisini grafik üzerinde görselleştirmek için çeşitli çizim fonksiyonları kullanır. Bu, kullanıcının grafik üzerinde kolayca sinyalleri ve trendi görmesini sağlar.
7. Ticaret Ayarları:
Alış ve satış sinyalleri tetiklendiğinde, bu bölüm belirlenen hedeflere ve stop-loss seviyelerine ulaşıp ulaşmadığını kontrol eder.
8. Uyarılar:
Bu gösterge ayrıca, belirli koşullar karşılandığında kullanıcıya uyarı gönderir. Bu, kullanıcının potansiyel ticaret fırsatlarını kaçırmamasını sağlar.
Sonuç olarak, bu Pine Script göstergesi, piyasa hareketlerini analiz ederek ve çeşitli filtreleri uygulayarak al-sat sinyalleri üretir. Heikin Ashi'nin yumuşatılmış sürümüne dayanan bu gösterge, trend takipçileri için kullanışlıdır ve çeşitli filtrelerle güçlendirilmiştir, böylece ticaret sinyallerinin kalitesi artar.
SOFEX Strong Volatility Trend Follower + BacktestingWhat is the SOFEX Strong Volatility Trend Follower + Backtesting script?
🔬 Trading Philosophy
This script is trend-following, attempting to avoid choppy markets.
It has been developed for Bitcoin and Ethereum trading, on 1H timeframe.
The strategy does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Expectations of performance should be realistic.
The script focuses on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto the idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
⚙️ Logic of the indicator
The Strong Volatility Trend Follower indicator aims at evading ranging market conditions. It does not seek to chase volatile, yet choppy markets. It aims at aggressively following confirmed trends. The indicator works best during strong, volatile trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages proprietary adaptive moving averages to identify and follow strong trend volatility effectively. Furthermore, it uses the Average Directional Index, Awesome Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations. It also helps to distinguish choppy-market volatility with a trending market one.
📟 Parameters Menu
The script has a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicator to your preferred cryptocurrency market.
Indicator Sensitivity Parameter : Adjust the sensitivity to adapt the indicator, particularly to make it seek higher-strength trends.
Indicator Signal Direction : Set the signal direction as Long, Short, or Both, depending on your preference.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
SOFEX High-End Indicators + BacktestingBINANCE:BTCUSDT.P BINANCE:ETHUSDT.P
Introducing the first publicly available suite of indicators for Bitcoin and Ethereum by Sofex - the High-End Indicators & Backtesting System.
🔬 Trading Philosophy
The High-End Indicators & Backtesting system offers both trend-following and mean-reversal algorithms to provide traders with a deep insight into the highly volatile cryptocurrency markets, known for their market noise and vulnerability to manipulation.
With these factors in mind, our indicators are designed to sidestep most potentially false signals. This is facilitated further by the "middle-ground" time frame (1 Hour) we use. Our focus is on the two largest cryptocurrencies: Bitcoin and Ethereum , which provide high liquidity, necessary for reliable trading.
Therefore, we recommend using our suite on these markets.
The backtesting version of the Sofex High-End Indicators includes mainly trend-following indicators. This is because our trading vision is that volatility in cryptocurrency markets is a tool that should be used carefully, and many times avoided. Furthermore, mean-reversal trading can lead to short-term profits, but we have found it less than ideal for long-term trading.
The script does not aim to make a lot of trades, or to always remain in a position and switch from long to short. Many times there is no direction and the market is in "random walk mode", and chasing trades is futile.
Based on our experience, it is preferable if traders remain neutral the majority of the time and only enter trades that can be exited in the foreseeable future. Trading just for the sake of it ultimately leads to loss in the long-run.
Expectations of performance should be realistic.
We also focus on a balanced take-profit to stop-loss ratio. In the default set-up of the script, that is a 2% : 2% (1:1) ratio. A relatively low stop loss and take profit build onto our idea that positions should be exited promptly. There are many options to edit these values, including enabling trailing take profit and stop loss. Traders can also completely turn off TP and SL levels, and rely on opposing signals to exit and enter new trades.
Extreme scenarios can happen on the cryptocurrency markets, and disabling stop-loss levels completely is not recommended. The position size should be monitored since all of it is at risk with no stop-loss.
We take pride in presenting this comprehensive suite of trading indicators, designed for both manual and automated use. Although automated use leads to increased efficiency, traders are free to incorporate any of our indicators into their own manual trading strategy.
⚙️ Indicators
By default, all indicators are enabled for both Long and Short trades.
Extreme Trend Breakouts
The Extreme Trend Breakouts indicator seeks to follow breakouts of support and resistance levels, while also accounting for the unfortunate fact that false signals can be generated on these levels. The indicator combines trend-breakout strategies with various other volatility and direction measurements. It works best in the beginning of trends.
Underpinning this indicator are renowned Perry Kaufman's Adaptive Moving Averages (PKAMA) alongside our proprietary adaptive moving averages. These dynamic indicators adjust their parameters based on recent price movements, attempting to catch trends while maintaining consistent performance in the long run.
In addition, our modification of the TTM Squeeze indicator further enhances the Extreme Trend Breakouts indicator, making it more responsive, especially during the initial stages of trends and filtering of "flat" markets.
High-Volatility Trend Follower
The High-Volatility Trend Follower indicator is based around the logic of evading market conditions where volatility is low (choppy markets) and aggressively following confirmed trends. The indicator works best during strong trends, however, it has the downside of entering trades at trend tops or bottoms.
This indicator also leverages our proprietary adaptive moving averages to identify and follow high-volatility trends effectively. Furthermore, it uses the Average Directional Index, Aroon Oscillator, ATR and a modified version of VWAP, to categorize trends into weak or strong ones. The VWAP indicator is used to identify the monetary (volume) inflow into a given trend, further helping to avoid short-term manipulations.
Low-Volatility Reversal
The Low-Volatility Reversal aims at plugging the holes that trend-following indicators ignore. It specifically looks for choppy markets. Using proven concepts such as Relative Strength Index and volume measurements, among others, this indicator finds local tops and bottoms with good accuracy. It works best in choppy markets with low to medium volatility. It has a downside that all reversals have, losing trades at the end of choppy markets and in the beginning of big trends.
This indicator, like the others, employs PKAMA in conjunction with our proprietary adaptive moving averages, and an Average PSAR indicator to seek out "sideways" markets. Furthermore, Bollinger Bands with an adaptive basis line is used, with the idea of trading against the short-term trends by looking at big deviations in price movement. The above mentioned indicators attempt to catch local tops and bottoms in markets.
Adaptive Trend Convergence
The Adaptive Trend Convergence aims at following trends while avoiding entering positions at local bottoms and tops. It does so by comparing a number of adaptive moving averages and looking for convergence among them. Adaptive filtering techniques for avoiding choppy markets are also used.
This indicator utilizes our proprietary adaptive moving averages, and an Average Price Range indicator to identify trend convergence and divergence effectively, preventing false signals during volatile market phases. It also makes use of Bollinger Bands with an adaptive moving average basis line and price-action adjusted deviation. Contrasting to the Low-Volatility Reversal condition described above, the Bollinger Bands used here attempt to follow breakouts outside of the lower and upper bands.
Double-Filtered Channel Breakouts
The Double-Filtered Channel Breakouts indicator is made out of adaptive channel-identifying indicators. The indicator then follows trends that significantly diverge from the established channels. This aims at following extreme trends, where rapid, continuous movements in either direction occur. This indicator works best in very strong trends and follows them relentlessly. However, these strong trends can end in strong reversals, and the indicator can be stopped out on the last trade.
Our Double-Filtered Channel Breakouts indicator is built on a foundation of adaptive channel indicators. We've harnessed the power of Keltner Channels and Bollinger Band Channels, with a similar approach used in the Adaptive Trend Convergence indicator. The basis and upper/lower bands of the channels do not rely on fixed deviation parameters, rather on adaptive ones, based on price action and volatility. This combination seeks to identify and follows extreme trends.
Direction Tracker
The Direction Tracker indicator is made out of a central slower, adaptive moving average that clearly recognizes global, long-term trends. Combined with direction and range indicators, among others, this indicator excels at finding the long-term trend and ignoring temporary pullbacks in the opposite direction. It works best at the beginning and middle of long and strong trends. It can fail at the end of trends and on very strong historical resistance lines (where sharp reversals are common).
Our Direction Tracker indicator integrates an adaptive SuperTrend indicator into its core, alongside our proprietary adaptive moving averages, to accurately identify and track long-term trends while mitigating temporary pullbacks. Furthermore, it uses Average True Range, ADX and other volatility indicators to attempt to catch unusual moves on the market early-on.
📟 Parameters Menu
To offer traders flexibility, our system comes with a comprehensive parameter menu:
Preset Selection : Choose between Bitcoin or Ethereum presets to tailor the indicators to your preferred cryptocurrency market.
Global Signal Direction: Set the global signal direction as Long, Short, or Both, depending on your trading strategy.
Global Sensitivity Parameter : Adjust the system's sensitivity to adapt to different trend-following conditions, particularly beneficial during higher-strength trends.
Source of Signals : Toggle individual indicators on or off according to your preference. By default, all indicators are enabled. Customize the indicators to trade Long, Short, or Both, aligning them with your desired market exposure.
Confirmation of Signals : Set the minimum number of confirmed signals on the same bar, ensuring signals are generated only when specific confirmation criteria are met. The default value is one, and it can be adjusted for both Long and Short signals.
Exit of Signals : You have options regarding Take-Profit (TP) and Stop-Loss (SL) levels. Enable TP/SL levels to exit trades at predetermined levels, or disable them to rely on direction changes for exits. Be aware that removing stop losses can introduce additional risk, and position sizing should be carefully monitored.
By enabling Trailing TP/SL, the system switches to a trailing approach, allowing you to:
- Place an initial customizable SL.
- Specify a level (%) for the Trailing SL to become active.
- When the activation level is reached, the system moves the trailing stop by a given Offset (%).
Additionally, you can enable exit at break-even, where the system places an exit order when the trail activation level is reached, accounting for fees and slippage.
Alert Messages : Define the fields for alert messages based on specific conditions. You can set up alerts to receive email, SMS, and in-app notifications. If you use webhooks for alerts, exercise caution, as these alerts can potentially execute trades without human supervision.
Backtesting : Default backtesting parameters are set to provide realistic backtesting performance:
- 0.04% Commission per trade (for both entries and exits)
- 3 ticks Slippage (highly dependent on exchange)
- Initial capital of $1000
- Order size of $1000
While the order size is equal to the initial capital, the script employs a 2% stop-loss order to limit losses and attempts to prevent risky trades from creating big losses. The order size is a set dollar value, so that the backtesting performance is linear, instead of using % of capital which may result in unrealistic backtesting performance.
Risk Disclaimer
Please be aware that backtesting results, while valuable for statistical overview, do not guarantee future performance in any way. Cryptocurrency markets are inherently volatile and risky. Always trade responsibly and do not risk more than you can afford to lose.
Premium Smart Exit HMA [ByteBoost]The Premium Smart Exit HMA strategy is designed for fast-paced trend detection and is well-suited for small trades in highly volatile markets. It utilizes the Hull Moving Average (HMA) as a signal to execute trades and offers customizable inputs for price calculation, period settings, and stop loss/take profit levels. The strategy aims to reduce lag associated with traditional moving averages, allowing it to catch trends quickly.
Development Notes
This Strategy was developed with the PineScript language, version 5. The aim of the strategy is to provide a trading system that catches fast trend reversals and uses a modified version of the Hull Moving Average. The HMA adeptly adapts to swift variations in price movements while offering better smoothing and utilizes a user selected moving averages, mitigating the smoothing effect and is controlled with a custom weight design.
Features
Customizable trading periods.
Customizable stop loss and take profit levels.
Adjustable date range for backtesting.
Allows setting of initial capital, commission type and value.
Provides visual aids for better understanding of the market trends.
Customize the visuals of the strategy.
Strategy Description
The Smart Exit HMA strategy offers the flexibility to use various types of moving averages, allowing customization of inputs for price calculation, period settings, and stop loss/take profit levels. The strategy relies on the Hull Moving Average (HMA) as a signal to execute trades. However, you have control over the signal frequency by selecting your preferred period value, which determines the number of candles used in the average calculation. This allows you to adapt the strategy to market tendencies and increase its effectiveness during clear trends.
The Smart Exit HMA strategy is designed to minimize lag associated with traditional moving averages, enabling it to respond more quickly to recent price movements based on your chosen period. It's worth noting that the strategy plots two lines on the graph: the average line and the square root line. Buy and sell signals are generated when both lines intersect, indicating favorable trading opportunities.
Inputs/Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Period - The lookback period for the moving average calculation, a longer period will translate into fewer trades that last longer.
Stop loss - Allows the use of a stop loss for all trades.
Take profit - Activates the use of a take profit for all trades.
Stop loss value - The distance from the entry price at which the strategy should exit to prevent further losses.
Take profit value - The distance from the entry price at which the strategy should exit to secure profits.
Take profit % - The percentage of the capital to take as profit.
Stop loss % - The percentage of the capital to set as the maximum loss.
Candles exit - The minimum number of candles before the strategy is allowed to close a trade.
Candles change - The minimum number of candles before the strategy is allowed to change the current trend.
Moving average type - Determines the preprocessing method applied prior to utilizing the HMA.
Custom weight - Enables the utilization of a personalized weighting system for the HMA. If chosen, ensure that the sum of all weights equals 1.
Open weight - Determines the weight assigned to the candle's open value.
Close weight - Specifies the weight assigned to the candle's close value.
High weight - Sets the weight attributed to the candle's high value.
Low weight - Determines the weight assigned to the candle's low value.
Highlighter - Light coloring between the trend and average price of each bar.
Signal labels - View the labels indicating a new long or short position.
Exit labels - Displays the labels indicating exit points.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Indicator Visuals
The strategy plots the two trendlines on the chart and changes its color based on its direction. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points where the signals of short and long will appear, as well as crosses for the exit points.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy, sell and exit conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark an uptrend signal during a candle and disappear at the end of it, so please just put long or short when the buy/sell conditions are followed and marked by the strategy at the end of each candle.
Conclusion
The Premium Smart Exit HMA is a versatile strategy that combines the benefits of the Hull Moving Average with adjustable parameters to suit individual trading styles. It offers a combination of speed and smoothness, which can be beneficial in volatile markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
Basic PRISM Algorithm [ByteBoost]The Basic ByteBoost PRISM strategy is designed to operate in various market conditions by leveraging the concept of brownian motion theory, which refers to the unpredictable movement of particles suspended in a fluid. This characteristic of random motion can be effectively utilized for analyzing time series data, such as market candles. Based on this notion, we are making the following assumptions regarding the market.
The stock price exhibits characteristics of Brownian motion.
The stock price is distributed in a log-normal pattern.
Volatility remains constant over time.
Options can only be exercised upon expiration.
Risk-free interest does not fluctuate over time.
There are no random or arbitrary opportunities present in the market.
Development Notes
This Strategy was developed with the PineScript language, version 5. This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well as recommended input settings and best practices to assist and guide new users effectively.
Features
The ByteBoost PRISM indicator is capable of analyzing multiple aspects of market behavior simultaneously such as:
Detection of potential trend reversals.
Assessment of trend strength and market sentiment.
Identification of stop loss levels.
Discovery of potential entry and exit points.
Ensuring compatibility and effectiveness with other indicators.
Visualization of strategy using historical data.
Strategy Description
PRISM is an all in one strategy that allows the visualization of entry and exit points as well as the historical performance for every set of parameters. PRISM is a slow paced indicator recommended for the 1h timeframe, because it operates on the belief that markets move in a Brownian motion, for which it leaves enough space and time for the market to decide a trend and catch it at the right time as well as finding appropriate exits given the trend.
PRISM can exist in either an uptrend or downtrend state, but it does not necessarily imply that it reflects the true trend being observed. Instead, it emphasizes capturing significant movements and capitalizing on them by utilizing oscillator levels and exit points calculated based on oversold or overbought values, along with the volatility associated with these movements.
Usage
To use this strategy it is first needed to select a correct set of inputs that correspond to the market you are using, the extra, win difference and oscillator length are dependent on the current market and the average price it manages, so these inputs need to be modified for every pair of assets used.
The long and short tags signify the opportune moment to initiate a new position in the market, whether it's a long or short position, respectively. The exit tags indicate when these positions should be closed. If no exits occur before a new long or short position emerges, it is essential to conclude the existing position and commence a new one in the opposite direction.
Regarding exits, up to two exits can be executed for each movement. The user has the flexibility to determine how these exits are utilized. In the input section, a specific percentage of equity can be selected to be sold during the first exit. If set to 100%, only a single exit will be presented. Otherwise, the remaining equity will be sold during the second exit or at the next trend reversal depending on which action occurs first.
In case the user requires additional exits beyond the initial two, the alternative exits option can be activated in the inputs. This will provide access to supplementary exits, although they may be less advisable compared to the primary exits.
Inputs / Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Extra - The minimum gain required in the market to trigger an exit opportunity. It can be a negative number to allow exits at a loss, potentially minimizing losses.
First exit % - If an exit is decided to be partial, it is very likely that there will be a second exit, this parameter determines the percentage of equity to be sold at the first exit. Note that a second exit may not always be applicable.
Win difference - The minimum difference between the entry point and the first exit to determine whether it should be a full exit or a partial exit, as the exit price approaches the entry price, the probability of a trend reversal increases, a full exit is beneficial.
Oscillator - Enables or disables the main oscillator, which helps determine entry points. Not all assets may benefit from this parameter.
Oscillator length - Specifies the number of candles considered for the entry points oscillator.
Highlighter - Applies a light color between the trend and average price of each bar.
Labels - Displays all the labels on the chart indicating trends, positions and exits.
Candle color - Color codes the inside of the candles with the current signal.
Oscillator points - Adds visual dots to indicate when the oscillator has changed its trend.
Color uptrend - Determines the color scheme for identifying uptrend movements.
Color downtrend - Determines the color scheme for identifying downtrend movements.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Indicator Visuals
The strategy plots the direction of the trend on the chart and changes its color based on this. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points, where the signals of short and long will appear as well as exit points which can be found as three different,
Exit 1 - A partial exit which sells the previously selected percentage of equity.
Exit 2 - A second exit that can only happen after an Exit 1 has happened, and sell the remaining amount of equity.
Exit Full - A full exit is executed when the price at the exit point is lower than the entry price plus the win difference value. This condition indicates that it is more advantageous to take a single exit rather than waiting for a second exit.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy and sell conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark false long or short signals, as the oscillator is allowed to repaint on the same candle. So users must make sure the candle has closed on buy/sell conditions.
Excessive capital issue: If you configure the strategy with a big amount of capital (+$1,000,000 for example) it is possible that it will completely stop calculating exit signals, as they will be too big for TradingView’s engine to process.
Conclusion
The ByteBoost PRISM strategy empowers traders by providing comprehensive market analysis, clear entry and exit signals, and the ability to visualize strategy performance using historical data. It is a superior algorithm that maximizes profit potential and minimizes risks, making it the preferred choice for traders seeking a competitive edge in the financial markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
Premium PRISM Algorithm [ByteBoost]The ByteBoost PRISM strategy is designed to operate in various market conditions by leveraging the concept of brownian motion theory, which refers to the unpredictable movement of particles suspended in a fluid. This characteristic of random motion can be effectively utilized for analyzing time series data, such as market candles. Based on this notion, we are making the following assumptions regarding the market.
The stock price exhibits characteristics of Brownian motion.
The stock price is distributed in a log-normal pattern.
Volatility remains constant over time.
Options can only be exercised upon expiration.
Risk-free interest does not fluctuate over time.
There are no random or arbitrary opportunities present in the market.
Development Notes
This Strategy was developed with the PineScript language, version 5. This indicator, and most of the descriptions below, were derived largely from the TradingView reference manual. Feedback and suggestions for improvement are more than welcome, as well as recommended input settings and best practices to assist and guide new users effectively.
Features
The ByteBoost PRISM indicator is capable of analyzing multiple aspects of market behavior simultaneously such as:
Detection of potential trend reversals.
Assessment of trend strength and market sentiment.
Identification of stop loss levels.
Discovery of potential entry and exit points.
Ensuring compatibility and effectiveness with other indicators.
Visualization of strategy using historical data.
Customization options available.
Strategy Description
PRISM is an all in one strategy that allows the visualization of entry and exit points as well as the historical performance for every set of parameters. PRISM is a slow paced indicator recommended for the 1h timeframe, because it operates on the belief that markets move in a Brownian motion, for which it leaves enough space and time for the market to decide a trend and catch it at the right time as well as finding appropriate exits given the trend.
PRISM can exist in either an uptrend or downtrend state, but it does not necessarily imply that it reflects the true trend being observed. Instead, it emphasizes capturing significant movements and capitalizing on them by utilizing oscillator levels and exit points calculated based on oversold or overbought values, along with the volatility associated with these movements.
Usage
To use this strategy it is first needed to select a correct set of inputs that correspond to the market you are using, the extra, win difference and oscillator length are dependent on the current market and the average price it manages, so these inputs need to be modified for every pair of assets used.
The long and short tags signify the opportune moment to initiate a new position in the market, whether it's a long or short position, respectively. The exit tags indicate when these positions should be closed. If no exits occur before a new long or short position emerges, it is essential to conclude the existing position and commence a new one in the opposite direction.
Regarding exits, up to two exits can be executed for each movement. The user has the flexibility to determine how these exits are utilized. In the input section, a specific percentage of equity can be selected to be sold during the first exit. If set to 100%, only a single exit will be presented. Otherwise, the remaining equity will be sold during the second exit or at the next trend reversal depending on which action occurs first.
In case the user requires additional exits beyond the initial two, the alternative exits option can be activated in the inputs. This will provide access to supplementary exits, although they may be less advisable compared to the primary exits.
Inputs / Settings
Capital - If using any leverage multiply the amount of money to invest by the leverage, else input the amount to be invested in every trade.
Start date - The date from which the strategy should begin its analysis. Leave unchanged to start from the earliest available date based on your account's plan.
End date - The date until which the strategy should conduct its analysis. Leave unchanged to continue until the current date.
Extra - The minimum gain required in the market to trigger an exit opportunity. It can be a negative number to allow exits at a loss, potentially minimizing losses.
First exit % - If an exit is decided to be partial, it is very likely that there will be a second exit, this parameter determines the percentage of equity to be sold at the first exit. Note that a second exit may not always be applicable.
Win difference - The minimum difference between the entry point and the first exit to determine whether it should be a full exit or a partial exit, as the exit price approaches the entry price, the probability of a trend reversal increases, a full exit is beneficial.
Limit length - Specifies the number of candles to consider for the overbought and oversold market calculation.
Low limit - Sets the minimum value of the limit to decide a short exit.
High limit - Sets the maximum value of the limit to decide a long exit.
Band length - Determines the number of candles to consider for the volatility analysis.
Band height - Sets the multiplication factor of the band to set the maximum and minimum height.
Increment - Determines the rate at which trend reversals occur. A higher value brings the line closer to the current price faster.
Candles exit - Specifies the minimum number of candles required to pass for an exit to become available after initiating a new position.
Oscillator - Enables or disables the main oscillator, which helps determine entry points. Not all assets may benefit from this parameter.
Oscillator length - Specifies the number of candles considered for the entry points oscillator.
Highlighter - Applies a light color between the trend and average price of each bar.
Trend Labels - Displays labels indicating an uptrend or downtrend.
Signal Labels - View the labels indicating a new long or short position.
Exit Labels - Displays the labels indicating exit points.
Candle color - Color codes the inside of the candles with the current signal.
Cloud - Visualize the average price cloud to determine trend direction.
Oscillator points - Adds visual dots to indicate when the oscillator has changed its trend.
Oscillator line - Displays the values of the oscillator to indicate upcoming trend changes.
Alternative exits - Shows additional exits to the ones we recommend, useful if the user missed an exit or needs to have more than two.
Color uptrend - Determines the color scheme for identifying uptrend movements.
Color downtrend - Determines the color scheme for identifying downtrend movements.
Color long - Sets the color scheme for a new long position.
Color short - Sets the color scheme for a new short position.
Color exit - Decides the color scheme for the exit tag and cross shown.
Color alternative exit - Changes the color scheme for the alternative exit cross.
Color oscillator line - Determines the color scheme used for the oscillator line.
Indicator Visuals
The strategy plots the direction of the trend on the chart and changes its color based on this. It also plots shapes on the chart to denote potential buy (Long) and sell (Short) points, where the signals of short and long will appear as well as exit points which can be found as three different,
Exit 1 - A partial exit which sells the previously selected percentage of equity.
Exit 2 - A second exit that can only happen after an Exit 1 has happened, and sell the remaining amount of equity.
Exit Full - A full exit is executed when the price at the exit point is lower than the entry price plus the win difference value. This condition indicates that it is more advantageous to take a single exit rather than waiting for a second exit.
Strategy Alerts
The strategy does not include built-in alerts. However, alerts can be added using the TradingView interface based on the strategy's buy and sell conditions. This way you will be able to receive notifications on your computer or phone when a new signal goes out.
Details
Repainting: It is important to mention that the strategy can mark false long or short signals, as the oscillator is allowed to repaint on the same candle. So users must make sure the candle has closed on buy/sell conditions.
Excessive capital issue: If you configure the strategy with a big amount of capital (+$1,000,000 for example) it is possible that it will completely stop calculating exit signals, as they will be too big for TradingView’s engine to process.
Conclusion
The ByteBoost PRISM strategy empowers traders by providing comprehensive market analysis, clear entry and exit signals, and the ability to visualize strategy performance using historical data. It is a superior algorithm that maximizes profit potential and minimizes risks, making it the preferred choice for traders seeking a competitive edge in the financial markets.
Disclaimer
This strategy is provided as-is, with no guarantee of profits or responsibility for losses. Trading involves risk, and you should only trade with money you can afford to lose. Always conduct your own research and consider your financial situation before engaging in trading.
TENKAN SCALPER STRATEGYTENKAN SCALP is a fully automatic trading system.
It is a continuation of our previous ichimoku release. This time however we throw out the rule book and use ICHIMOKU in a very different way.
It applies non traditional money management tactics.
While most trading strategies rely on a stop loss and a take profit target to manage risk. This strategy uses either no stop loss at all or a time based stop loss.
You might ask yourself the question why would you keep a trade open if it goes against you? Here are a phew reasons why the script does what it does.
Forex Markets consolidate most of the time. If you wait long enough your Take Profit will get hit anyways most of the time
You don't have to risk everything per trade. I keep my orders small so to keep some powder to get into some more trades
All the extra trades you take while one trade is in drawdown limit the drawdown as they provide cashflow
On lower timeframes the markets are so chaotic that a stop loss is very likely to get hit by a wick
About backtest below
This backtest uses a spread of 2 pips for entries and a default position size of 100% of equity. This is only possible on exchanges where spread is low and you have 10:1 leverage or more. It does not represent results obtainable without leverage. Do take into account that there are a lot of forex exchanges that provide this leverage, however a 2 pip spread is not always guaranteed and only applies to major pairs.
This backtest does not use the TIME BASED STOPS functionality.
Always start with small position sizing and see how the strategy performs before adding risk.
Explanation of variables:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
projection: Script uses same function for variable calculation and substracts a number on each next bar as to make a projection of where the variable will be in future bars if price stayed the same. This works as ICHIMOKU calculations use the middle point of a past set of data. The shorter that amount of bars will be in line with the data that it will be restricted to in future if price stayed the same.
Detection of Market Environment
To enter trades the script uses a lot of ICHIMOKU concepts. Contrary to how most people trade ICHIMOKU this script takes an environment that ICHIMOKU identifies as trending upwards and shorts in that environment. The same will be applied to a downtrend where it will open LONGS.
List of CRITERIA for a trend:
Grapling Hook: this is a component based on the chikou span (closing price displaced 26 bars into the past). The script will use an ATR based range to define a possible future projection to the CHIKOU line. For a market to be bullish there should be no price action happening within this area. Market is free to move upwards. Vice versa for bearish .
Kumo Cloud: script will check if price is above the cloud for bullish trend and below cloud for bearish trend .
Chikou above Kijun: script will check if the chikou line is above the KIJUN line of 26 bars ago. This is further confirmation that price is trending high enough compared to it's past data. Vice versa for downtrend.
Kijun projection: script will check if past Kijun is lower than future projected Kijun. This to ensure we get an equilibrium in our favour in the future. Vice versa for downtrend
Tenkan projection: script will check if future Tenkan-sen will be higher than Kijun-sen for an uptrend. Vice versa for downtrend.
Cloud projection: script will check if in 9 bars the Senkou Span A will be higher than Senkou Span B for an uptrend. Vice versa for downtrend.
Example:
This script does not visualise the prediction lines like I show in the example. I show them here to clarify how the script works.
Usage
Backtests are not indicative of future results, although a trader may want to use a strategy script to have a deeper understanding of how their strategy responds to varying market conditions, or as a tool for identifying possible flaws for a strategy that may be indicative of good or bad performance in the future.
Strategy Settings:
Minimum Body Size (atr): this is the minimum ATR a signal bar needs to be for entry. This is useful because our TP is based on previous bar.
Lot size per trade: this setting does not impact backtest. It is used to for the signals to let tradingconnect.com know your position size.
Direction: do you want to trade longs or shorts. I personally use both a long bot and a short bot at the same time.
Positions Allowed: the amount of positions the script will keep open as a maximum. You do not want to open too many positions, this is for risk management.
Close all positions at drawdown: if total open positions loss gets to this % target it will close all positions.
MetaTrader Prefix: when the script sends a signal it will put this text right before the symbol name from syminfo.ticker
MetaTrader Suffix: when the script sends a signal it will put this text right after the symbol name from syminfo.ticker
Charts below are some examples on how the script handles orders on default settings:
without time based SL
with time based SL
how it handles pyramiding
www.tradingview.com
Tradingconnector.com:
For full automation of the forex market the script uses this connector to execute trade on MT4. The alerts the script sends using the alerts() function call are structured in a way tradingconnector will recognise and send directly to MT4. You can find documentation about this tool on their own website.
Personal recommendation is to start with a minimum lot size and track performance, if you are comfortable scale the size up. You can do that by increasing the lot size setting in the script and making a new alert. Make sure to delete the old one.
How to access
You can see the Author's Instructions below to visit our telegram to get more information on how to get access.
Crypto Tipster v2---------------------
Crypto Tipster v2
Hello again! We're back with a drastically improved Crypto Tipster v2 Indicator using over a dozen all new algorithms based around Technical Analysis, Price Action, Momentum Swings and Reversal Detection.
We've taken our time with version 2 of Crypto Tipster, putting all our best practices to work and ensuring it performs superbly across numerous crypto markets and timeframes - we have focused our efforts towards the larger timeframes, 12H, 1D, 2D for example as we believe these to be the most consistent and predictable, and therefore the most profitable.
Trading on longer timeframes also reduces the overal cost of trading fee's as you'll be placing fewer trades over any given time period, whilst catching bigger swings and therefore earning a higher percentage per winning trade. Due to these bigger price swings you can de-leverage your trades too, making them inherintly safer and more controlled.
The final benefit to placing trades on longer timeframes is that you will not be tied down to your PC or laptop for hours on end waiting for a perfect entry or exit point, which increases the odds of placing bad/panic trades or even placing trades due to boredom! If you trade with Crypto Tipster v2 on a 1D timeframe, you will only ever have work to do once per day, at bar close; this is when trades are placed or exited, or stop losses/take profits are updated to new levels - easy!
Crypto Tipster v2 can help consistently catch tops and bottoms of trending markets whilst avoiding placing trades through choppy or ranging areas, this helps to not only maximise profits (what we're all after!) but also to minimise losses (equally important). We've tirelessly tested Crypto Tipster using literally thousands of variables across dozens of built-in algorithms over hundreds of trading pairs - lots of data to process!
The outcome is rather stunning and well worth checking out - we're rather proud of what we've achieved here, and we're pretty sure you're going to love it too!
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What's Included
- Chart Settings
The first section you'll come across, Chart Settings.
Here you'll find a few options regarding how your chosen market chart will look within TradingView and how Crypto Tipster will interact with this chart.
One of the most important Tick boxes is first on the list - "Show Backtest Results". This will change Crypto Tipster from displaying simple but easy-to-follow "Buy/Sell" labels into Strategy mode in which you can set up more complicated Stop Loss / Take profit settings as well as setting up Alerts for auto trading and other more complex functions (see How It Works for more info!
We've also included a "Trend Strength Bar Color" tick box which changes the color of the chart bars based on how strong Crypto Tipster is perceiving the current trend and in which direction.
- Trend Settings
"Trading Frequency" represents how often Crypto Tipster will be looking for a new trend / change in trend direction, and therefore how often it will be placing trades. By default this is set to "Normal" but can be changed to "Rapid" using the drop down menu.
"Entry Trend Strength" also determines how frequently trades are placed by selecting the strength of trend required before a trade is placed. The scale ranges from "1-5", with 1 being a low trend strength required, 5 being a very strong trend strength required.
Within the Trend Settings section you'll also find an "Avg Trend Strength over Bars" option. This allows you to average (mean) the current trend strength over a pre-determined amount (1-5) of previous chart bars - thus providing a potentially more consistent signal.
- Trade Settings
Trade Settings help Crypto Tipster determine what type of trades you're looking to place.
The overall "Trade Direction" will decide to either target only Long trades, only Short trades, or Both (default).
"Consecutive Trades in Same Direction" allows for pyramiding - whereby you can specify to allow for multiple trades of the same direction. Set to "1" as default allows for no extra pyramiding, max setting of "10".
- Trade Protection
Currently consisting of two functions, our Trade Protection section can help to achieve both the removal of false signals (whipsaws), and the extension of good trades without confusion during minor retracements.
"Chop Removal" can help to remove some whipsaw trades during ranging market conditions, therefore improving overal profitability by only targeting stronger trends. You have an option to choose from either "Weak" or "Strong" Chop Removal.
"Protection Filter" uses current trading criteria as defined by you, and uses it to check against a higher time frame than you're currently viewing. This can help to eliminate some bad trades at the expense of a potential lag on good trades.
- Stop Loss / Take Profit
Stop Losses should be a crucial aspect of everyone's trading system. They help prevent any trade from going too far in the wrong direction and limit losses.
Our "Stop Loss (%)" is quick and easy to set up, simply set the percentage offset from the entry price of trades and a fixed Stop Loss will be in place on all trades.
"Take Profit (%)" works in the same way as the Stop Loss mentioned above - simply set the percentage you'd like to exit a profitable trade at.
The "Trailing Stop (%)" is a little more complicated in that it will follow the trend of the trade a certain percentage away from the current market price - this is great for keeping yourself in a trade for as long as the trade is moving in the right direction.
- Extra Tools & Indicators
This is the section of Crypto Tipster that enables you to add some chart visuals to assist you with your preferred trading style.
"Potential Pivot Points" are not the same as actual pivot points - Potential pivot points will paint on the chart at bar close, giving you an immediate alert to potential tops/bottoms of market trends. You can choose to display only the strongest potential points, or include some of the weaker signals too.
"Actual Pivot Points" are inherintly more accurate than Potential pivot points, but do not paint on the chart until after a pre-determined amount of time has passed. These are great for placing stop losses/take profits or watching the market for breakouts or reversals.
"Support/Resistance Levels" plots up to 6 support and resistance horizontal lines based on recent price tops/bottoms. Use these to determine areas where price could rebound or break-through.
"Bollinger Band Breakout" - Bollinger bands are a tried and tested technical analysis tool, similar to pivot points and support/resistance lines, thee are another great tool to determine where price may retrace, consolidate or breakout.
- Ichimoku Cloud
Somewhat confusing and intimidating when you first come across this technical analysis indicator, the "Ichimoku Cloud" is one of our favorites. Assisting with the detection of Dynamic Support and Resistance levels, Momentum and Trend Direction all in one super indicator.
Although certain aspects of the Ichimoku Cloud are already present within Crypto Tipster v2 algorithms in order to offer you the best possible signals, we've also included a user-definable section of it's own so you can manually set up and use the cloud for your own trading needs, all cloud signals (and there are many) are available to set up as Alerts for your own needs or an Auto-Trading Bot.
- Custom Alerts for Any Signal
We've endeavoured to ensure that all signals, not just the Buy/Sell signals, are ready and available to create Alerts with; giving you the most opportunity to create a fully custom trading engine that suits your exact trading requirements.
This means you can set Alerts for any and all signals you can see on the chart when using Crypto Tipster v2, this includes Buy/Sell Signals, Trend Strength Signals, Choppy Market Signals, Stop Loss/Take Profit Signals, Pivot Points, S/R levels crossed above & below, Bollinger Band Breakout and several Ichimoku Cloud Signals.. the list goes on!
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We've tried to make Crypto Tipster as comprehensive and easy to understand as possible, we are however always in search of progression; we do really love to hear your feedback :)
For more information and a free 8-day trial please visit the link in our signature
Happy Trading Guys
Strength Volatility Killer - The Quant ScienceStrength Volatility Killer - The Quant Science™ is based on a special version of RSI (Relative Strength Index), created with the simple average and standard deviation.
DESCRIPTION
The algorithm analyses the market and opens positions following three different volatility entry conditions. Each entry has a specific and personal exit condition. The user can setting trailing stop loss from user interface.
USER INTERFACE SETTING
Configures the algorithm from the user interface.
AUTO TRADING COMPLIANT
With the user interface, the trader can easily set up this algorithm for automatic trading.
BACKTESTING INCLUDED
The trader can adjust the backtesting period of the strategy before putting it live. Analyze large periods such as years or months or focus on short-term periods.
NO LIMIT TIMEFRAME
This algorithm can be used on all timeframes.
GENERAL FEATURES
Multi-strategy: the algorithm can apply long strategy or short strategy.
Built-in alerts: the algorithm contains alerts that can be customized from the user interface.
Integrated indicator: indicator is included.
Backtesting included: quickly automatic backtesting of the strategy.
Auto-trading compliant: functions for auto trading are included.
ABOUT BACKTESTING
Backtesting refers to the period 13 June 2022 - today, ticker: AVAX/USDT, timeframe 5 minutes.
Initial capital: $1000.00
Commission per trade: 0.03%
3LS | 3 Line Strike Strategy [Kintsugi Trading]What is the 3LS | 3 Line Strike Strategy?
Incorporating the 3 Line Strike candlestick pattern into our strategy was inspired by Arty at The Moving Average and the amazing traders at TheTrdFloor .
The Three Line Strike is a trend continuation candlestick pattern consisting of four candles. Depending on their heights and collocation, a bullish or a bearish trend continuation can be predicted.
In a symphony of trend analysis, price action, and volume we can find and place high-probability trades with the 3LS Strategy.
How to use it!
----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio -----
- Stop-Loss Strategy
Fixed PIP Size – This uses the top/bottom of the indicator candle and places a TP based on the chosen Risk:Reward ratio.
ATR Trail (No set Target Profit, only uses ATR Stop)
ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs)
**If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at**
**ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section**
- Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50.
- Additional Stop PIP Size = Number of PIPs over the default stop location of the top or bottom of the indicator candle.
----- Next, we set the Session Filter -----
Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00.
----- Next, we set the Moving Average Cloud Fill -----
Enter the Fast and Slow Moving Average Length used to calculate trend direction:
MA Period Fast
MA Period Slow
These inputs will determine whether the strategy looks for Long or Short positions.
----- Next, we set the VSA – Volume Spread Analysis Settings -----
Check the box to show the indicator at the bottom of the chart if desired.
This is just a different visual output of the VSA | Volume Spread Analysis indicator available for free under the community indicators tab. You can add that indicator to your chart and see the same output in candle format.
In combination with the Moving Average Cloud, the Volume Spread Analysis will help us determine when to take a trade and in what direction.
The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend.
The 3LS Strategy utilizes confirmation between trend, volume, and price action to place high probability trades.
The VSA is completely customizable by:
Moving Average Length
MA-1 Multiplier
MA-2 Multiplier
MA-3 Multiplier
Check out the VSA | Volume Spread Analysis indicator in the community scripts section under the indicators tab to use this awesome resource on other strategies.
----- Next, we have the option to view the automated KT Bull/Bear Signals -----
Check the boxes to show the buy-sell signal on the chart if desired.
----- Next, we set the risk we want to use if Auto Trading the strategy -----
I always suggest using no more than 1-3% of your total account balance per trade. Remember, if you have multiple strategies triggering per day with each using 1%, the total percent at risk will be much larger.
For Example – if you have 10 strategies each risking 1% your total risk is 10% of your account, not 1%! Be mindful to only use 1-3% of your total account balance across all strategies, not just each individual one.
----- Finally, we backtest our ideas -----
After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading!
This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me.
Auto-Trading
When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView.
*Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.*
AutoView
PineConnector
**ATR Auto-Trading Alert Setup**
How to create alerts on 3 Line Strike Strategy
For Trailing Stops:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "Order Fills Only" from the drop-down
3) Remove template message text from "message" box and place the exact text. '{{strategy.order.alert_message}}'
4) Click "create"
For Fixed Pip Stop:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "alert() function calls only"
5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track
Good luck with your trading!
[Pt] TICK Supertrend Strategy, 5 minBackground:
It is well known that the indices such as SPY and QQQ follow/represent market sentiment. The TICK index literally represents the market sentiment as it compares the number of stocks that are rising and falling on the NYSE. By default, the TICK index is a short term indicator. Therefore it isn't reliable for swing trading or long term strategies. However, it is perfect for scalping.
Although TICK is well known, many does not know how to use it effectively. As part of the background mechanism of this script, I’ve divided TICK into 5 major zones based on the close of each candle: Overbought (neutral with bearish bias), Bullish, Neutral, Bearish, and Oversold (neutral with bullish bias). Along with the use of Heikin Ashi technique, RSI, moving averages and candle analysis, this strategy aims to provide accurate representation of market sentiment and profitable entry and exit points. *** At the time of publication, this strategy has proved to be consistently profitable. HOWEVER, this DOES NOT guarantee future profitability. So use at your own risk! ***
What is it showing?
This strategy is an intraday scalping strategy that uses TICK data to predict market directions for optimal entry and exit points. It is displayed similarly to the famous Supertrend indicator, which is one of the most common ATR based trailing stop indicators, so visually it is easy to read. This strategy is suitable for trading indices such as SPX , SPY , SPX500USD , QQQ , DJI and any other tickers that have high positive correlation with TICK.
Script is proprietary, but as mentioned it incorporates the following elements with additional candlestick analysis, pattern recognition, stop-loss and profit taking strategy:
- NYSE TICK data
- Heikin Ashi candle technique
- ATR
- RSI
- Moving Averages
Bullish trend is determined by a confluence of said indicators and analyses, and is displayed as a green line under the price action. The distance is defined by an adjustable value that is based on a percentage of the previous daily ATR value. When a long order is in play, that line also acts as the stop-loss level. Bearish trend is the opposite and is displayed in red, by default.
What's unique?
Detecting a ranging market structure and avoiding overtrading in a choppy market has always proven to be difficult, even for the most professional traders. This strategy has built-in “choppiness” and volatility filtering scripts that attempts to help reduce the number of false entries. These elements are what makes this strategy unique and different from other indictors mashup strategies.
In addition, this strategy takes previous trades into account and “learn” from past trades when determining the optimal stop-loss level to maximize profitability. This allows this strategy to better adapts to changing and evolving market conditions.
Strategy statistics
All parameters are designed for 5min time frame.
At the time of publication, this strategy has proved to be consistently profitable through limited back testing data.
Initial capital = $10000
Pyramiding = 1
Slippage = 3 ticks to account for spread
Default leverage shown = 9x
Quantity per trade = 100% of account
Back testing period at time of publication = Apr 11, 2022 - July 22, 2022
Trading Session = 1000 - 1530 Mon-Fri
Timeframe = 5 min
Gain = 1338.48%
Total trades = 253
% Profitable = 45.85%
Profit Factor = 2.506
Max Drawdown = 19.36%
Extras
This release includes default AutoView alerts for trading SPX500USD on Oanda. It includes both long and short order entry alerts, and trailing stop-loss alerts.
Please DM for free trial.
StochRSI + MA Strategy [Kintsugi Trading]What is the StochRSI + MA Strategy?
This premium indicator was inspired by my desire to find and place high probability forex trades in any market, direction, or time of day.
Why Forex?
The Forex markets operate 24 hours, 5.5 days a week
Access to meaningful leverage
Ability to easily trade long or short
High liquidity
How to use it!
----- First, start by choosing a Stop-Loss Strategy, Stop PIP Size, and Risk/Reward Ratio -----
- Stop-Loss Strategy
ATR Trail (No set Target Profit, only uses ATR Stop)
ATR Trail-Stop (Has set Target Profit, however, stop is based on ATR inputs)
Fixed PIP Size
**If you choose an ATR Stop-Loss Strategy - input the desired ATR period and Multiple you would like the stop to be calculated at**
**ATR Stop-Loss Strategies have a unique alert setup for Auto-Trading. See Auto-Trading Section**
- Stop PIP Size = How many PIPs will be representative of the max risk. i.e. - if you are risking $100 and you set the PIP stop to 10, that means 10 PIPs = $100.
- Risk/Reward Ratio = If you have a .5 risk/reward, it means you are risking $100 to make $50.
----- Next, we set the Session Filter. -----
Set the Timezone and Trade Session you desire. If no specific session is desired, simply set the Trade Session to 00:00 - 00:00.
----- Next, we set the Moving Average Cloud. -----
Enter the Moving Average Type:
Simple Moving Average
Exponential Moving Average
Hull Moving Average
Weighted Moving Average
Smoothed Moving Average
Double Exponential Moving Average
Triple Exponential Moving Average
Enter the fast, medium, and slow Moving Average Period you would like the Strategy to use. If you would like like to use (2) Moving Averages, simply set two of the Periods the same.
These inputs will determine whether the strategy looks for Long or Short positions.
**Boxes on the left of the fast, medium, and slow Moving Average Periods**
If you check any of these boxes, the strategy will ignore and set up where the price is trading below the checked moving average.
----- Next, we set the Stochastic RSI Parameters. -----
In combination with the Moving Average Cloud, the Stochastic RSI will help us determine when to take a trade and in what direction.
The strategy is essentially looking for small reversals going against the overall trend and placing a trade once that reversal ends and the price moves back in the direction of the overall trend.
The Stochastic RSI + MA Strategy utilizes confirmation between extreme RSI calculations and the overall trend as measured by (3) separate Moving Averages.
The Stochastic RSI is completely customizable by:
Long Entry Bar Cross Below
Short Entry Bar Cross Above
K
D
RSI Length
Stochastic Length
RSI Source
----- Finally, we backtest our ideas. -----
After using the 'Strategy Tester' tab on TradingView to thoroughly backtest your predictions you are ready to take it to the next level - Automated Trading!
This was my whole reason for creating the script. If you work a full-time job, live in a time zone that is hard to trade, or just don't have the patience, this will be a game-changer for you as it was for me.
Auto-Trading
When it comes to auto-trading this strategy I have included two options in the script that utilize the alert messages generated by TradingView.
*Note: Please trade on a demo account until you feel comfortable enough to use real money, and then please stick to 1%-2% of your total account value in risk per trade.*
AutoView
PineConnector
**ATR Auto-Trading Alert Setup**
How to create alerts on Stoch+MA Strategy
For Trailing Stops:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "Order Fills Only" from the drop-down
3) Remove template message text from "message" box and place exact text. {{strategy.order.alert_message}}
4) Click "create"
For Fixed Pip Stop:
1) Adjust autoview/pineconnector settings
2) Click "add alert"
3) Select "Condition" = Strategy Name
4) Select "alert() function calls only"
5) I like to title my Alert Name the same thing I named it as an Indicator Template to keep track
Good luck with your trading!
Cyatophilum Accumulation StrategyAn indicator to backtest and automate accumulation/pyramiding custom strategies.
The goal of the strategy is to buy several times when the price is low and sell all when the position is in profit.
Configure your strategy using the entry options and entry filters, then set your Take Profit and StopLoss.
═════════════════════════════════════════════════════════════════════════
█ HOW IT WORKS
The strategy has pyramiding enabled, which means it can open several deals in a row.
It will keep buying until the Take Profit target is reached.
The indicator plots the Take Profit and Break Even line which are recalculated at each new deal.
The target corresponds to the average entry price plus a configurable percentage.
We can see the average entry price line drop lower at each Long Entry.
█ HOW TO USE
Choose a pair that you want to hold/invest in.
Pick a chart time frame that you like, according to how often you want the strategy to place orders. A benefit of this strategy is that it can work on low time frames as well as high time frames. Just keep in mind that the smaller the time frame, the bigger the impact of fees and slippage will be on the strategy results.
Configure your entry condition . You can combine several technical indicators to trigger an entry, such as Top & Bottom, Higher Lows and RSI divergences.
Example with double bottoms:
Filter your entry signal . Add filters to strengthen your entry signal.
Configure your profit target
Use the Take Profit feature to set a target in percentage of price. You can also make it trail.
There is a Trailing Stop Loss feature but the goal of the strategy is to never sell in loss, so it is turned off by default.
Check your backtest parameters
Make sure that the initial capital and order size make sense. Since it is a pyramiding strategy, the sum of all deals should not be bigger than the initial capital.
In this example: Initial capital is 10 k, max active deals is 10, so the max order size is 1 k.
If you use % equity as order size, please note that it will create compounding.
Check the fees, by default they are set to 0.1%.
I also recommend to set a slippage that corresponds to your exchange's spread.
Note: the pyramiding parameter has to be equal to the "Max Active deals" input.
█ FEATURES
• Entry settings
Configure wether to go long or short, or both.
Choose the Max Active deals : the maximum number of deals that you want to open at once.
The Minimum bar delay between deals parameter will help putting space between deals.
• Trend Filter
The trend filter will fitler off long deals when the trend is bearish, and short deals when it is bullish.
Choose a trend line from a list, or any external trend line you can find.
The Trend condition allows to choose wether the trend should switch from slope change or price cross.
• MTF Trend Filter
A secondary trend line, Multi Time Frame.
• Volume Filter
The volume filter will check the bar volume and prevent the entry if it is too low.
• Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing stoploss and a trailing take profit.
• Backtest Settings
Choose a backtest period, longs or shorts, wether to use limit orders or not.
An option to close open orders at the current bar if you have multiple open orders and are wondering what it would result to close them now.
Graphics
A Configuration panel with all the indicator settings, useful for sharing/saving a strategy.
A Backtest Results panel with additional information from the strategy tester.
█ ALERTS
The indicator is using the alert() calls: it only uses 1 alert slot to send order messages for each event. This means free TV plans can create 1 complete strategy.
To set your alert messages, open the indicator settings and scroll to the bottom of the "inputs" tab.
Create your alert after you set the messages in the indicator settings, and make sure "Any alert() function call" is set in the alert option.
█ LIMITATIONS
Things to keep in mind when using this strategy.
• No Stop loss
When trading without stop loss, your equity can drop without limit, and it can take a while until price recovers.
This is why when backtesting I recommend to keep an eye on the "Max # Days in trades" statistic which tells the maximum days a trade took to close in profit.
• Spot markets only
Obviously, trading without stop loss means no leverage.
█ BACKTEST RESULTS
The backtest settings used in this snapshot are the following:
Initial Capital: 10 000€
Order size: 1 000 €
Commission: 0.1€ per order
Slippage : 10 ticks
Please read the author instructions below for access and automation.
QaSH DCA DaytraderThis script takes advantage of the power of DCA implemented in the QaSH DCA Algorithm script, and it applies it to new entry conditions. A "Quickfingers Luc" mode has been added, which creates new entry orders whenever a level of support has been identified. If price breaks the support level and quickly drops down, the orders will already be in place to catch the dip. This method can even catch the 1-second long, 50% flash dips that occur in some exchanges.
Four entry conditions are included in this initial release : ASAP, Quickfingers Luc, Bullish Pivot point, and Bearish Pivot point
All order placements are customizable
All take profit % values are based on the average entry price
Take profit % values can change based on how big the price dip was
Entry condition filter has been added and it uses a variable timeframe EMA
Stoploss function is available
Order size can be sent in the alerts, which allows for multiple setups to be running simultaneously in one account
All alerts are sent using the new "Any alert() function call" feature, which means this indicator will only take up one alert slot to cover all entry and exit alerts
Settings advice:
- If you think price is inflated, try conservative settings that either use a stoploss and EMA filter, or no stoploss but have some of your orders placed far below the current price with increasing volume. In a bear market this will beat the buy and hold.
- If you think the market is ready for a new bull run, then try experimenting with very aggressive settings to beat the buy and hold. For example: ASAP mode with 3 layers turned on. Orders placed at 0.5%, 3%, and 5%. Volumes at 30%, 30%, and 40% respectively. No stoploss. These settings were tested on ETH and beat the buy and hold during an extreme bull market period.
Volatility Stop Strategy [frostybot]This is a modified version of the Standard Volatility Script on TradingView, tweaked for the BTCUSD chart on the 1H timeframe.
I've designed this strategy to be used with Frostybot with ease.
However, this can be disabled in the settings. Then you will receive alerts without Frostybot commands.
First, open the settings section of the indicator. Then fill in the following fields:
You can play around with the TP values and see what works best for your personal risk assessment
Account Stub: enter the name of your stub on Frostybot (only needed if you enable the "Use Frostybot Alert Triggers" checkbox)
Position Size and Size Type: Here you can choose the amount on which you want to enter the trade, for example: 100$, 2x,... (only needed if you enable the "Use Frostybot Alert Triggers" checkbox)
Symbol: Enter the BTC symbol that is valid for the Frostybot Stub's Exchange. For FTX: BTC-PERP, for Binance Futures: BTC /USDT,... (only needed if you enable the "Use Frostybot Alert Triggers" checkbox)
Press OK
Then, setup an alert on the strategy:
Configure the correct Frostybot Webhook URL (don't forget to add /frostybot after the IP address) (only needed if you enable the "Use Frostybot Alert Triggers" checkbox)
Give the alert a name of choice
Put this as the message: {{strategy.order.alert_message}}
Press OK
Enjoy and happy trading!
POW EdgeHello fellow Trading View member,
Eventually our rebranded update with some extra features for our exclusive 'Edge' Strategy Script.
In this description I will run through;
The strategy itself, what is it?
What does it do?
How does it work?
How can it help you?
How good is it?
What is it.....
The Edge Strategy itself is based upon 5 indicators lining up in total confluence to enter a position in line with a trending move. Adding them together adds more confluence and probability to each individual trade outcome over the longer term. The individual strategies used are based on Trend strategies all used in combination.
The uniqueness to this is how they are combined. Indicators can work to a point individually of course, but combining them together and only trading when all are in a line was our concept, whilst reviewing how each individual indicator can be optimised to work with the others.
Also the motivation was to be the right side of the market in a trending move and capitalising on as much as that move as possible.
The first part is to ensure the candle close is above or below our moving average, we can then check the state and validity of each of the other 4 indicators. Once this confluence is in alignment a trade is valid for entry - this has to be valid at the same time - but not all valid on the same candle - they will come into alignment in different stages. But once they are, our trade is valid.
I will not reveal the other individual 3 indicators but the other is also an ADX function to add a threshold into the strategy to identify a trend - usually above 20/25. This has upsides and downsides as any user can visualise and see in the testing.
We also add to the script to look for a Buy then Sell, Sell then Buy - we found this had more profitable results overall and next phase was to review the money management; where and how we placed our SL and when and why we exited the trade.
Example - for a BUY trade to be valid, all 5 indictors must meet their own criteria before a BUY is printed on the chart. Absolutely no technical analysis is needed to trade this strategy and the data we have is based on using the strategy in isolation - how you wish to use this either independently or supporting your own trading is of course, up to you.
The SL and TP's are based on ATR Multipliers thus ensuring we are factoring in market volatility at that time. We also have a FT (Follow Trend) option, which is a worthy addition for capitalising on big trending moves.
This strategy will work on all markets and timeframes.
We understand and accept that all pairs and markets are different thus we have optimised certain pairs and timeframes with different parameters to provide increased returns, these are hard coded (H1 Timeframe) and also provided for your review.
Profitability is easily viewable in the ‘Strategy Tester’ - this is a great tool. This is where you can see historic / live data for the strategy.
Data like;
The Net Profit
Number of trades
Win Percentage
Every trade taken
Average Win
Average Loss
Maximal DD , etc.
We have individually optimised each pair to ensure this is the case and hard coded these parameters into the strategy. All you need to do is flick between the pairs - the strategy will then identify the pair you are on and change the parameters to suit in the background.
Whilst a trade is open, the strategy will convert all candles to the relevant colour - Green for an uptrend and Red for a downtrend (all customisable).
We find this is helpful for traders psychology - not getting 'spooked' by other candle colours, affecting your decision making.
When a new signal is valid, 'POW BUY' or 'POW SELL' will be displayed on the first candle open for entry. As well as this, you will also have the trade label print which will display the following;
- EP – Entry price
- SL – Stop loss
- TP – Take Profit
- Lot size
The trade information printed will also tell you the pip values of your stop loss and take profit based on how far away they are from the trade entry price.
The lot size printed is customisable and unique to your account- within the strategy settings you can simply input your account balance, currency and risk approach which includes a fixed risk amount, fixed lot size or a fixed percentage.
This removes the need for 3rd party apps or websites to quickly calculate your specific risk on your trade. Thus saving you time and making sure you aren't 'guessing' with your lot size.
No one likes losing more than they thought.
The progress and initial challenges....
To start, our first version simply showed the buy and sell arrows when a trade was valid. However, this caused subjectivity with where we would place our stop loss and how we would manage the exit of the trade once we were in it. So, we identified a solid strategy for this was incorporating the Average True Range (ATR) for SL and TP options.
I was especially keen to add the SL and exit management so I could obtain solid back testing data to support my thoughts that 'this works'. Every trader requires confidence and belief in their strategy, without it you simply won't succeed or be disciplined in your execution.
The other challenge we all face is calculating the lot sizes of our trades right? So, it was important that we incorporated a lot size calculator - its all about making it easy when a trade is valid to enter without trying to calculate this accurately.
Lastly, when pairs are stuck in a range - this can be a testing period of 'chop' for a trend strategy, so we also incorporated the ADX function to enable us to set a threshold level to identify when the instrument is more likely to be trending.
What does it do?
Ultimately, tells you when to buy and sell - where to place your SL and when to exit. Whilst also ensuring your risk management is on point, by displaying your trading lot size. Also providing you with live back tested data at your finger tips thank you to the strategy tester.
How does it work?
This will be visible on your trading view charts once you get access. And will work across all your devices, the trading view website or the app on your phone for example.
You can also use Trading View alerts, so you won't miss a trade and can go about your day as normal without watching the screen. This will work on the Free version of TV, however, in order to benefit from more alerts and templates it makes sense to upgrade to a higher package.
How can it help you?
This will help give you a mechanical approach to your trading. This means, less decision making on your part, with the instant benefit of seeing the data you have at your fingertips thanks to the 'Strategy Tester' TV Function.
It will save you time, you don't need to be in front of your screen or completing any subjective analysis.
Integrated lot size calculator can ensure you are always accurate with your risk - either in percentage or a fixed amount of risk - whichever you prefer.
Understand Probability - this is the key one for me. Losing runs happen in any trading strategy. The great benefit here, is you can see them. How long were the losing runs? How can I prepare and plan my risk management around them are all fundamental keys to managing your emotions and being detached from your trades. No one wants to feel stressed or anxious when trading.
Customisable exit strategies - A specific TP for a 1:1 RR or 1:10 RR for example can be adjusted and you can see instantly how this affects the profitability.
The exit strategy options are shown below;
TP 1/2/3
FT - Follow Trend (no stop loss and follow's from Buys to Sells, Sell to Buy, etc.
SL + FT - SL present, but trade is held until a reverse signal is presented.
How good is it?
We have some really positive back testing data across a range of pairs and markets - equities and indices too.
Drop me a DM to see these and I'll be happy to share.
Below let me show you a screen shot of how this can work for you.
How do you access this?
Please visit our website for signup / purchase information in the first instance (the link is on our trading view signature) or send us a private message on here - its impossible to keep track of comments on our posts so to ensure we don't miss you, a private DM will be great please.
The Back test shown on this example is based on the Trading View mid price and also a realistic starting Capital of £10,000. This test result is also based on a 0.1% risk per trade, with a 5 tick spread and a commission of
Regards
Darren
Disclaimer alert.
Please remember past performance is exactly that - how our strategy performed over those dates tested, it is not obviously a guarantee of future performance. Most of our H1 data is valid from Jan 2017 to now - so 4+ years and data on 650+ trades per pair.
Cyatophilum Swing Trader [BACKTEST]This is an indicator for swing trading which allows you to build your own strategies, backtest and alert. This version is the backtest which allows to use the Strategy Tester. The alert version can be found in my profile scripts page.
The particularity of this indicator is that it contains several indicators, including a custom one, that you can choose in a drop down list, as well as a trailing stop loss and take profit system.
The current indicators are :
CYATO AI: a custom indicator inspired by Donchian Channels that will catch each big trend and important reversal points .
The indicator has two major "bands" or channels and two minor bands. The major bands are bigger and are always displayed.
When price reaches a major band, acting as a support/resistance, it will either bounce on it or break through it. This is how "tops" and "bottoms", and breakouts are caught.
The minor bands are used to catch smaller moves inside the major bands. A combination of volume, momentum and price action is used to calculate the signals.
Advantages of this indicator: it should catch top and bottoms better than other swing trade indicators.
Cons of this indicator: Some minor moves might be ignored. Sometimes the script will catch a fakeout due to the Bands design.
Best timeframes to use it : 2H~4H
Sample:
Other indicators available:
SARMA: A combination of Parabolic Stop and Reverse and Exponential Moving Average (20 and 40) .
SAR: Regular Parabolic Stop and Reverse .
QQE: An indicator based on Quantitative Qualitative Estimation .
SUPERTREND: A reversal indicator based on Average True Range .
CHANNELS: The classic Donchian Channels .
More indicators might be added in the future.
About the signals: each entry (long & short) is calculated at bar close to avoid repainting. Exits (SL & TP) can either be intra-bar or at bar close using the Exit alert type parameter.
STOP LOSS SYSTEM
The base indicators listed above can be used with or without TP/SL.
TP and SL can be both turned on and off and configured for both directions.
The system can be configured with 3 parameters as follows:
Stop Loss Base % Price: Starting Value for LONG/SHORT stop loss
Trailing Stop % Price to Trigger First parameter related to the trailing stop loss. Percentage of price movement in the right direction required to make the stop loss line move.
Trailing Stop % Price Movement: Second parameter related to the trailing stop loss. Percentage for the stop loss trailing movement.
Another option is the "Reverse order on Stop Loss". Use this if you want the strategy to trigger a reverse order when a stop loss is hit.
TAKE PROFIT SYSTEM
The system can be configured with 2 parameters as follows:
Take Profit %: Take profit value in percentage of price.
Trailing Profit Deviation %: Percent deviation for the trailing take profit.
Combining indicators and Take Profit/Stop Loss
One thing to note is that if a reversal signal triggers during a trade, the trade will be closed before SL or TP is reached.
Indeed, the base indicators are reversal indicators, they will trigger long/short signals to follow the trend.
It is possible to use a takeprofit without stop loss, like in this example, knowing that the signal will reverse if the trade goes badly.
The base indicators settings can be changed in the "Advanced Parameters" section.
Configuration used for this snapshot:
BACKTEST SETTINGS
· Initial Capital: 10 000 $
· Order Size: 10% equity (to avoid compounding effect)
· Commission : 0.1% per order (total commission paid: 244.41 €)
· Slippage: 5 ticks
Oldest trade: 2014-04-01
Backtest Period: From 2014-04-01 to 2020-09-04
Use the link below to obtain access to this indicator.
T3-CCI Strategy [SystemAlpha]This is a strategy based on FX Sniper's T3-CCI indicator. Instead of using just the normal buy and sell signal, we added an option to use trend filters, trailing stop loss and take profit targets.
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Show Bar Colors
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
T3-CCI Indicator:
Advance ADX:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
TTM Scalper Strategy [SystemAlpha]This is a strategy based on TTM scalper indicator. Instead of using just the normal buy and sell signal, we added an option to use trend filters, trailing stop loss and take profit targets.
The TTM scalper indicator of John Carter’s Scalper Buys and Sells was originally created by HPotter and is as a close approximation of the one described in his book Mastering the Trade.
In this study you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Show Bar Colors
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
MACD++ Strategy [SystemAlpha]This is a strategy based on MACD Oscillator. Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. This strategy was developed for crypto, forex and stocks on daily timeframe but feel free to experiment on 15 minutes or higher using heikin ashi or normal candles
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
MACD:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.
MACD+ Strategy [SystemAlpha]This is a strategy based on MACD Oscillator . Instead of using just the normal crossovers, we use trend filters, trailing stop loss and take profit targets. This strategy was developed for crypto, forex and stocks on daily timeframe but feel free to experiment on 15 minutes or higher using heikin ashi or normal candles
In this strategy you have a choice of:
Trend Filters:
- Average Directional Index ( ADX ) – buy when price is trend is up and sell when trend is down.
- Moving Average (MA) – buy when price close above the defined moving average and sell when price close below moving average
- Parabolic SAR – buy when SAR is above price is above price and sell when SAR is below price.
- All - Use ADX , MA and SAR as filters
For MA Filter , you can use the “TF MA Type” and "TF MA Period" parameter to select Simple or Exponential Moving Average and length.
Stop Loss:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Parabolic SAR ( SAR ) – Parabolic SAR adapted as trailing stop loss.
For ATR , you can use the “ATR Trailing Stop Multiplier” parameter to set an initial offset for trailing stop loss.
Take Profit Target:
- Average True Range (ATR) – ATR % stop as trailing stop loss.
- Standard % – Percent as target profit
For ATR , you can use the “ATR Take Profit Multiplier” parameter to set an initial offset for trailing stop loss.
Additional feature include:
- Regular and Hidden Divergence display and alerts
STRATEGY ONLY:
- Set back test date range
- Set trade direction - Long, Short or Both
- Use timed exit - Select method and bars
- Method 1: Exit after specified number of bars.
- Method 2: Exit after specified number of bars, ONLY if position is currently profitable.
- Method 3: Exit after specified number of bars, ONLY if position is currently losing.
TradingView Links:
Alerts:
MACD:
How to use:
1. Apply the script by browsing through Indicators --> Invite-Only scripts and select the indicator
2. Once loaded, click the gear (settings) button to select/adjust the parameters based on your preference.
3. Wait for the next BUY or SELL signal to enter the trade!
Disclaimer:
The indicator and signals generated do not constitute investment advice; are provided solely for informational purposes and therefore is not an offer to buy or sell a security; are not warranted to be correct, complete or accurate; and are subject to change without notice.