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EMA crossover - BTC/USD 4hrThis is my first strategy script, and looking at other EMA crossover strategies, there wasn't anything that I have seen which allowed different EMAs to be used for each Enter/Exit signal This uses a long term trend ling (one for Longs, one for shorts) to decide if we are in a bull bear market • If in a bull market, then it will allow for the longs to be opened • If in a bear market, then it will allow for the shorts to be opened Comments and criticisms welcome
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str1nger의
Double EMA & ALMA StrategyThe ALMA (50 period) acts as the main trend filter, meaning that long positions are taken above the ALMA and short positions are taken below the ALMA. For instance, the 5 and 10 period exponential moving averages are added on the chart to give early signals to the trend. Therefore, when the 5/10 EMA triggers a bullish crossover, long signals are taken when price is above the ALMA, likewise, when the 5/10 EMA triggers a bearish crossover, short signals are taken when price is below the ALMA. Find out optimal values by trying. May not produce accurate results in horizontal markets. Thank you.
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The_Oracle_Of_Delphi의
2
EMA Crossover StrategyMoving average crossover systems measure drift in the market. They are great strategies for time-limited people. So, why don't more people use them? I think it's due to poor choice in choosing EMA lengths: Market Wizard Ed Seykota has a guideline for moving average crossovers: the slow line should be at least 3x the fast line. This removes a lot of the whipsaws inherent in moving average systems, which means greater profitability. His other piece of advice: long-only strategies are best in stock markets where there's a lot more upside potential. Using these simple rules, we can reduce a lot of the whipsaws and low profitability trades! This strategy was made so you can see for yourself before trading. === HOW TO USE THIS INDICATOR === 1) Choose your market and timeframe. 2) Choose the length. 3) Choose the multiplier. 4) Choose if the strategy is long-only or bidirectional. Don't overthink the above! We don't know the best answers, that's why this strategy exists! We're going to test and find out. After you find a good combination, set up an alert system with the default Exponential Moving Average indicators provided by TradingView. === TIPS === Increase the multiplier to reduce whipsaws (back and forth trades). Increase the length to take fewer trades, decrease the length to take more trades. Try a Long-Only strategy to see if that performs better.
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gregoirejohnb의
18
[Strategy] - EMA 10,20 59 with Profit DisplayedThis EA is still under construction !! So for this EA is only based on the trend of the 3 EMA's Buytrend = (ema1 and ema2 > ema3) and (ema1 and ema2 > ema3 ) We also change the Background depending on the trend. bgcolor(Buytrend ? color.green : color.red,transp=70) At this point I was wondering how much "profit" we would have made if this strategy was only based on the trend so I added the Labels to start/end close of that trend and then see how much profit in pip's we would have made. Later I was wondering if I could get the total information on the trades and thats what the Label over the current candle is telling us. If that label is red we didn't made any profit and if its green we made som profit. I also added a BuyProfit and a count buy/sells and a total Profit to see how that information clearly without opening the strategy tester. NOTE this shows the profit in pip's Next step is to implement a Buy/Sell Signal togheter with a Buy/SellSignalOUT signal. Thats currently under development and you'll see some code being there already but as of now the orders are made from the trend signal not the Buy/Sell Signal.
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mattehalen의
3
EMA Crossover with RSI and DistanceEMA Crossover with RSI and Distance Strategy This strategy combines Exponential Moving Averages (EMA) with Relative Strength Index (RSI) and distance-based conditions to generate buy, sell, and neutral signals. It is designed to help traders identify entry and exit points based on multiple technical indicators. Key Components: Exponential Moving Averages (EMA): The strategy uses four EMAs: EMA 5, EMA 13, EMA 40, and EMA 55. A buy signal (long) is triggered when EMA 5 crosses above EMA 13 and EMA 40 crosses above EMA 55. A sell signal (short) is generated when EMA 55 crosses above EMA 40. The distance between EMAs (5 and 13) is also important. If the current distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, a neutral condition is triggered, preventing a signal even if all other conditions are met. Relative Strength Index (RSI): The 14-period RSI is used to determine market strength and direction. The strategy requires RSI to be above 50 and greater than the average RSI (over the past 14 periods) for a buy signal. If the RSI is above 60, a green signal is given, indicating a strong bullish condition, even if the EMA conditions are not fully met. If the RSI is below 40, a red signal is given, indicating a strong bearish condition, regardless of the EMA crossover. Distance Conditions: The strategy calculates the distance between EMA 5 and EMA 13 on each candle and compares it to the average distance of the last 5 candles. If the current distance between EMA 5 and EMA 13 is lower than the average of the last 5 candles, a neutral signal is triggered. This helps avoid entering a trade when the market is losing momentum. Additionally, if the distance between EMA 40 and EMA 13 is greater than the previous distance, the previous signal is kept intact, ensuring that the trend is still strong enough for the signal to remain valid. Signal Persistence: Once a buy (green) or sell (red) signal is triggered, it remains intact as long as the price is closing above EMA 5 for long trades or below EMA 55 for short trades. If the price moves below EMA 5 for long trades or above EMA 55 for short trades, the signal is recalculated based on the most recent conditions. Signal Display: Green Signals: Represent a strong buy signal and are shown below the candle when the RSI is above 60. Red Signals: Represent a strong sell signal and are shown above the candle when the RSI is below 40. Neutral Signals: Displayed when the conditions for entry are not met, specifically when the EMA distance condition is violated. Long and Short Signals: Additional signals are shown based on the EMA crossovers and RSI conditions. These signals are plotted below the candle for long positions and above the candle for short positions. Trade Logic: Long Entry: Enter a long trade when EMA 5 crosses above EMA 13, EMA 40 crosses above EMA 55, and the RSI is above 50 and greater than the average RSI. Additionally, the current distance between EMA 5 and EMA 13 should be larger than the average distance of the last 5 candles. Short Entry: Enter a short trade when EMA 55 crosses above EMA 40 and the RSI is below 40. Neutral Condition: If the distance between EMA 5 and EMA 13 is smaller than the average distance over the last 5 candles, the strategy will not trigger a signal, even if other conditions are met.
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mishaqman의
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results. Key Features The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include: **Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise. **Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency. **Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style. **Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation. How It Works The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages: - When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend. - Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend. This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution. Trading Ideas and Insights Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights: **Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements. **Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings. **Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns. How Multiple Indicators Work Together While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as: - **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades. - **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume. Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover. Unique Aspects What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance. How to Use To effectively utilize the TQQQ EMA Crossover Strategy: 1. **Add the Indicator:** Load the script onto your TradingView chart. 2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences. 3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator. 4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers. Regularly review your trading performance and adjust parameters as necessary to optimize results. Customization The TQQQ EMA Crossover Strategy allows for extensive customization: - **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions. - **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations. This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders. Conclusion The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends. Incorporate it into your TradingView toolkit today and elevate your trading performance!
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Pineify의
1
Overnight Positioning w EMA - Strategy [presentTrading]I've recently started researching Market Timing strategies, and it’s proving to be quite an interesting area of study. The idea of predicting optimal times to enter and exit the market, based on historical data and various indicators, brings a dynamic edge to trading. Additionally, it is integrated with the 3commas bot for automated trade execution. I'm still working on it. Welcome to share your point of view. █ Introduction and How it is Different The "Overnight Positioning with EMA " is designed to capitalize on market inefficiencies during the overnight trading period. This strategy takes a position shortly before the market closes and exits shortly after it opens the following day. What sets this strategy apart is the integration of an optional Exponential Moving Average (EMA) filter, which ensures that trades are aligned with the underlying trend. The strategy provides flexibility by allowing users to select between different global market sessions, such as the US, Asia, and Europe. It is integrated with the 3commas bot for automated trade execution and has a built-in mechanism to avoid holding positions over the weekend by force-closing positions on Fridays before the market closes. BTCUSD 20 mins Performance █ Strategy, How it Works: Detailed Explanation The core logic of this strategy is simple: enter trades before market close and exit them after market open, taking advantage of potential price movements during the overnight period. Here’s how it works in more detail: 🔶 Market Timing The strategy determines the local market open and close times based on the selected market (US, Asia, Europe) and adjusts entry and exit points accordingly. The entry is triggered a specific number of minutes before market close, and the exit is triggered a specific number of minutes after market open. 🔶 EMA Filter The strategy includes an optional EMA filter to help ensure that trades are taken in the direction of the prevailing trend. The EMA is calculated over a user-defined timeframe and length. The entry is only allowed if the closing price is above the EMA (for long positions), which helps to filter out trades that might go against the trend. The EMA formula: ``` EMA(t) = + ``` Where: - EMA(t) is the current EMA value - Close(t) is the current closing price - n is the length of the EMA - EMA(t-1) is the previous period's EMA value 🔶 Entry Logic The strategy monitors the market time in the selected timezone. Once the current time reaches the defined entry period (e.g., 20 minutes before market close), and the EMA condition is satisfied, a long position is entered. - Entry time calculation: ``` entryTime = marketCloseTime - entryMinutesBeforeClose * 60 * 1000 ``` 🔶 Exit Logic Exits are triggered based on a specified time after the market opens. The strategy checks if the current time is within the defined exit period (e.g., 20 minutes after market open) and closes any open long positions. - Exit time calculation: exitTime = marketOpenTime + exitMinutesAfterOpen * 60 * 1000 🔶 Force Close on Fridays To avoid the risk of holding positions over the weekend, the strategy force-closes any open positions 5 minutes before the market close on Fridays. - Force close logic: isFriday = (dayofweek(currentTime, marketTimezone) == dayofweek.friday) █ Trade Direction This strategy is designed exclusively for long trades. It enters a long position before market close and exits the position after market open. There is no shorting involved in this strategy, and it focuses on capturing upward momentum during the overnight session. █ Usage This strategy is suitable for traders who want to take advantage of price movements that occur during the overnight period without holding positions for extended periods. It automates entry and exit times, ensuring that trades are placed at the appropriate times based on the market session selected by the user. The 3commas bot integration also allows for automated execution, making it ideal for traders who wish to set it and forget it. The strategy is flexible enough to work across various global markets, depending on the trader's preference. █ Default Settings 1. entryMinutesBeforeClose (Default = 20 minutes): This setting determines how many minutes before the market close the strategy will enter a long position. A shorter duration could mean missing out on potential movements, while a longer duration could expose the position to greater price fluctuations before the market closes. 2. exitMinutesAfterOpen (Default = 20 minutes): This setting controls how many minutes after the market opens the position will be exited. A shorter exit time minimizes exposure to market volatility at the open, while a longer exit time could capture more of the overnight price movement. 3. emaLength (Default = 100): The length of the EMA affects how the strategy filters trades. A shorter EMA (e.g., 50) reacts more quickly to price changes, allowing more frequent entries, while a longer EMA (e.g., 200) smooths out price action and only allows entries when there is a stronger underlying trend. The effect of using a longer EMA (e.g., 200) would be: ``` EMA(t) = + ``` 4. emaTimeframe (Default = 240): This is the timeframe used for calculating the EMA. A higher timeframe (e.g., 360) would base entries on longer-term trends, while a shorter timeframe (e.g., 60) would respond more quickly to price movements, potentially allowing more frequent trades. 5. useEMA (Default = true): This toggle enables or disables the EMA filter. When enabled, trades are only taken when the price is above the EMA. Disabling the EMA allows the strategy to enter trades without any trend validation, which could increase the number of trades but also increase risk. 6. Market Selection (Default = US): This setting determines which global market's open and close times the strategy will use. The selection of the market affects the timing of entries and exits and should be chosen based on the user's preference or geographic focus.
Pine Script™ 전략
PresentTrading의
Support Resistance Pivot EMA Scalp Strategy [Mauserrifle]A strategy that creates signals based on: pivots, EMA 9+20, RSI, ATR, VWAP, wicks and volume. The strategy is developed as a helper for quick long option scalping. This strategy is primarily designed for intraday trading on the 2m SPY chart with extended hours. However, users can adapt it for use on different symbols and timeframes. These signals are meant as a helper rather than fully automated trading bots. One of the key elements is its pivot-based calculation, driven by my integrated indicator "Support and Resistance Pivot Points/Lines ". It enables multi-timeframe pivot calculations which are used to generate the signals and offers customizability, allowing you to define rounding methods and cooldown periods to refine pivot levels. The pivots, in combination with EMA crossovers, VWAP trend, and additional filters (RSI, ATR, VWAP, wicks and volume), create an entry and exit strategy for scalping opportunities that is useful for 0/1 DTE options with an average trade time of six minutes with the default setup for SPY. Option trading should be done outside TradingView. At this moment of release there is no option trading support. All parameters used in the strategy are tweaked based on deep backtests results and real-time behavior. Be mindful that past performance does not guarantee future results. The strategy is designed for intermediate and advanced users who are familiar intraday option scalping techniques. How It Works The strategy identifies entries based on multiple conditions, including: recently above pivot, recent EMA crossovers, RSI range, candle patterns, and VWAP uptrend. It avoids trades below the VWAP lower band due to poor backtesting results in those conditions. It creates a great number of signals when it detects an uptrend, which entails: VWAP and its lower/upper band slopes are going up, and the number of next high pivot points is greater than the number of lower pivot points. This indicates that we hope it will keep going up. In historical testing, this showed favorable results. This uptrend criteria runs on 15m charts max (where up to the VWAP effectiveness is the greatest). The strategy also checks for candle and volume patterns, identified in backtesting to improve entry levels on historic data. Which include: A red candle after multiple green ones, hoping to jump on a trend during a small pullback Zero lower wick Percentage and volume is up after lower volume candles Percentage is up and the first and second EMA slopes are going up Percentage is up, the first EMA is higher than the second, the price low is below the second EMA and price close above it The VWAP uptrend overrules the candle and volume conditions (thus lots of signals during those moments). The above is the base for many signals. There is a strict mode that adds extra checks such as: not trading when there is no next low or high pivot requiring a VWAP uptrend only minimum candle percentages This mode is for analyzing history and seeing performance during these conditions. It is worth it to create a separate alert for strict mode so you are aware of these conditions during trading. When no stop has been defined, exits will always happen on pivot crossunder confirmations. If a stop is defined (default config), the strategy exits a position when: the position is negative or no trail has been set at least 1 bar has past OR no stop has been defined (overrules previous) trail has not been activated The second exit condition happens when the close is below first EMA(9 by default) and when: the position has been above first EMA the gap between close and last pivot isn't small the position is negative or no trail has been set OR no stop has been defined (overrules above) trail has not been activated There are some more variations on this but the above are the most common. These exit conditions are a safety net because the strategy heavily relies on and favors stops. The settings allow changing stops, profit takers and trails. You can configure it to always sell without the conditions above. The script will paint the pivot lines, trailing activation/stops, EMAs and entry/exits; with extra information in the data panel. For a complete view add VWAP and RSI to your chart, which are available from TradingView official indicator library. The strategy will not rely on those added indicators since VWAP and RSI are programmed in. You can add them to track the behavior of the signals based on these filters you have configured and have a complete view trading this strategy. As mentioned earlier, the default settings are built for SPY 2m charts, with extended hours and real-time data. Open the strategy on this chart to study how all input parameters are used. If you don't have real-time data you need to adjust the minimum volume settings (set it to 0 at first). The backtest The default backtest configuration is set up to simulate SPY option trading. Start capital is set to 10,000 and we risk around 5% of that per trade (1 contract) Commission is set to 0.005%. The reason: at the time of this publication the SPY index price is approximately $580. Two ITM 0/1 DTE options contracts, each priced around $280, which is approximately $560. The typical commission for such a trade is around $3. To simulate this commission in the backtest on the SPY index itself, a commission of 0.005% per trade has been applied, approximating the options trading costs. Slippage of 3 is set reflecting liquid SPY The bar magnifier feature is turned on to have more realistic fills Trading In backtesting, setting commission and slippage to 0 on the SPY 2m chart shows many trades result around breaking even. Personally, I view them as an opportunity and safety net to help manage emotional decisions for exits. The signals are designed for short option scalps, allowing traders to take small profits and potentially re-enter during the strategy’s position window. It's advisable to take small potential profits, such as 4%, whenever the opportunity arises and consider re-entering if the setup still looks favorable, for example price still above ema9. Exiting a long position below ema9 is a common strategy for 2m scalping. The average trade duration is approximately 6 minutes (3 bars). The choice between ITM (in-the-money), ATM (at-the-money), or OTM (out-of-the-money) options will depend on your trading style. Personally, I’ve seen better results with ITM options because they tend to move more in sync with the underlying index, thanks to their higher delta. It’s important to note that the signals are designed to be a helper for manual trading rather than to automate a bot. Users are encouraged to take small profits and re-enter positions if favorable conditions persist. Be mindful that past performance does not guarantee future results. For the default SPY setup the losses will mostly be 4-10% for ITM options. Be mindful of extreme volatile conditions where losses may reach 30% quickly, especially when trading ATM/OTM options. The following settings can be changed: 8 pivot timeframes with left/right bars and days rendered Here you can configure the timeframes for the pivots, which are crucial. The strategy wants that a crossover has happened recently (so it might enter after a crossunder if the crossover was recent) or the price is still above the crossed pivot. When you decide to use a pivot timeframe higher than your chart, make sure it aligns the same starting point as the chart timeframe. As stated in the 43000478429 docs, there is a dependency between the resolution and the alignment of a starting point: 1–14 minutes — aligns to the beginning of a week 15–29 minutes — aligns to the beginning of a month from 30 minutes and higher — aligns to the beginning of a year This alignment also affects the setting of rendered days. I recommend a max value of 5 days for 1-14 minutes timeframes. Also make sure a higher pivot timeframe can be divided by the lower. For instance I had repaint issues using 3m pivots on a 2m chart. But 4m pivots work fine. Please look up docs 43000478429 to make sure this information is still up to date. Pivot rounding The pivot rounding option is used to add pivots based on a rounded price and limit the number of pivots. While this feature is disabled by default it can be useful with tweaking strategy variations, because many orders are placed at rounded levels and tend to act as strong price barriers. There are multiple rounding methods: round, ceil/floor, roundn (decimal) and rounding to the minimal tick. The next feature is a powerful extension called "Cooldown rounding": Pivot cooldown rounding This rounds new pivot levels for a cooldown period to keep the previous pivot line instead of adding a new line when they match the rounded value within the cooldown period. The existing line will be extended. This feature is useful because it makes sure the initial line is added to the exact high/low pivot level but any future lines within the rounding will just extend the existing line. This limits the number of pivots while still having precise levels (which normal rounding lacks) and allows more precise pivot trading. This feature also helps ensure that the number of rendered lines will not exceed 500 too much, which is the render limit on TradingView. You can set a maximum minutes for the cooldown. The default is 3 years which will enable the cooldown rounding permanently on the intraday (due to the max bar limit). Pivot always added when new higher/lower pivot When using cooldown rounding, one may find it useful to override this behavior when a new lower or higher pivot level has been reached. When enabled the new level will be added despite the fact that they may be rounded the same in the cooldown check. This is a good balance between limiting pivots but also allowing preciser trading. VWAP bands multiplier This is used to tweak the inner VWAP working for the upper and lower band. The default VWAP multiplier (0.9) is set based on backtesting since it performed better on historic data (the strategy does not trade below the lowerband). When you add the VWAP indicator from the TradingView library to the chart, make sure it uses the same multiplier setting as within this strategy so you have a correct view of the conditions the strategy acts on. ATR EMA smoothing length Used to tweak the ATR EMA smoothing. By default it is set up to 4 based on deep backtesting historic data. EMA lengths Changing the EMA length allows you to fine tune the EMA crossing behavior. By default the strategy is set up to EMA 9 and 20 which are considered commonly used values on the 2-minute chart. Trading intraday time restrictions For intraday charts you can configure when the strategy starts trading after market open and when it stops, including a hard sell. This makes sure there are no open positions left for the day during backtesting and can also aid in your trading style. For example some scalpers will not trade in the first two hours. Having no signals during this time can be beneficial. It is possible to configure these settings based on the number of bars or minutes. Not trading on days the market closes earlier By default the strategy does not trade on days the market closes earlier in the US. This makes sure there are no open positions left open during backtesting. Make sure to change it when using it on such a day. The days are: day before independence day, day after thanksgiving, Christmas eve and new years eve. Not trading below VWAP lowerband Backtesting has shown poor performance when trading below the VWAP lowerband but you are free to allow it to trade in such conditions. Past performance does not guarantee future results. Minimum volume A minimum volume can be set up. The current value is based on better deep backtest results for SPY using real-time data (48000). When you do not have a data plan for SPY, please set it to 0 and tweak based on backtests. Minimum ATRP The strategy has shown during my trading that it is sensitive to higher ATRP values and more volatile market conditions. There is more chance the index moves and we can profit from this during option scalping (if it moves in your favor). The default is based on SPY backtesting (0.04%), as a balance to have a lot of trades but also capture minimal movement. RSI range A RSI range can be set using a minimum and maximum value so we can limit trading during overbought/oversold conditions. Backtesting for SPY has shown the strategy performs better on historic data within a tighter range, so a default range has been set to 40-65. Allow orders on every tick (no effect on stop/profit/trail) This setting is used to allow orders on every tick. The strategy has been developed without trading on every tick but you can change this, for example when you have configured a setup different than the default configuration that you know works well with this. The default setup will not work well with it due to too many constant signals. Stop percentage + ATRP threshold One of the most important settings for managing the risk. I recommend setting a stop percentage first and later the ATRP threshold where the stop is calculated based on the current ATRP value. The calculated value will only be in effect when it is greater than the normal stop--the normal stop acts as baseline. The default stop is low (0.03). With a default ATRP threshold stop of 1.12, the calculated value overrules the normal stop when the value is greater. 0.03 acts as a minimum value but in reality the stop will most likely be higher on average for SPY with the default ATRP threshold. For the default SPY setup the losses will be around 4-10% for ITM options. Be mindful of extreme volatile conditions where losses may reach 30% quickly, especially when trading ATM/OTM options. Profit taker percentage + ATRP threshold Same principles as the stop percentage above, but for profit taking. There is a very high ATRP threshold of 4 set by default. Backtests showed that trailing stops perform better on historic data. Trailing stop Used to set up a trailing stop. A useful feature to secure profit after a run-up, or get out with a small loss after initial activation. It is important to not use too tight values because they will give unrealistic backtest results and trigger too fast in real-time. Both the trail activation level and trail stop itself can be configured with a percentage value and ATRP value. I recommend setting up the ATRP last. By default the values are 0.05 for activation and 0.03 for the stop based on SPY real-time behavior. Always sell on pivot crossunder confirmation The strategy includes pivot crossunder confirmations as sell condition. By default it will not sell on every crossunder confirmation but checks for different conditions (explained in detail earlier in this description). You can change this behavior. Always sell below first EMA when position has been above The strategy sells below the first EMA when the position has been above it. By default it will not always sell but checks for different conditions (mentioned earlier in this description). You can change this behavior. Buy modes pivot By default the strategy buys between pivots as long as there has been a pivot crossover and EMAs crossover recently or price is still above it. You can change the behavior so it only buys on pivot crossovers or pivot crossover confirmations. Backtesting on the default setup shows decreased performance but for other strategy variations and pivot setups this feature can be useful since many scalpers do not buy between pivots. Strict mode There is a strict mode that adds extra checks such as not trading when there is no next low or high pivot, requiring a VWAP uptrend only and minimum candle percentages. This mode is for analyzing history and seeing performance during these conditions. It is worth it to create a separate alert for strict mode so you are aware of these conditions during trading. The deep backtests improved with these setting but past performance does not guarantee future results. In the strict mode section you can override the stop, minimum ATRP, set up a minimum percentage, only trade VWAP uptrends and to not trade candles without a wick. A summary and some extra detail At the time of release only long trades are supported The strategy is meant for quick scalping but one might find other uses for it Enable extended hours on intraday charts so it captures more pivots It does not trade extended hours (pre and post market) since options do not trade during those times real-time data is recommended and required if a symbol has delayed data by default You can configure that it trades minutes after market open and hard sells minutes after market open The entries have a specific label text, example: "833 LE1 / 569.71 / P:569.8". This means: / / . The condition number is only for development/debug purposes for me when you have an issue. The strategy cannot be tweaked to work on multiple symbols and timeframes with a single config. So you will have to make a config for every timeframe and symbol. I recommend using the Indicator Templates feature of TradingView. This way you can save the settings per timeframe and symbol The strategy is per default config very dependent on (trailing) stops because it trades between pivots too. It wants that a pivot and EMA crossover has happened more recently than a crossunder. But you can change this behavior to always force crossover buys and crossunder sells. It’s recommended to set up alerts to notify you of entry and exit signals. Watching the chart alone might cause you to miss trades, especially in fast-moving markets. Only a max of 500 lines can be rendered on the chart, but the strategy will function with more under the hood. When you exceed 500 you will notice the beginning of the chart has no pivots, but beneath everything functions for backtesting. Changing settings Changing the settings for a different symbol and/or timeframe can be a challenging task. Here's a how-to you could use the first time to help you get going: Set commission and slippage to 0. I prefer to do this so it is more clear whether you are balancing on break-even trades Enable the pivot timeframe equal or above your chart timeframe. Avoid repainting as discussed earlier by choosing timeframes that align with the same timeframe Set all volume, ATR, stop, profit takers and trail values to 0 Make sure strict mode is disabled at the bottom of the settings You now have a clean state and you should see the backtest results purely based on pivot and EMA conditions Tweak the stop and profit taker, beginning with the simple values and then ATRP threshold At the last moment tweak the trailing stops. Tight trailing stops create an unrealistic backtest so you will need to tweak them based on real-time behavior of the symbol you're using which you will have to monitor during signals while the market is open. The default values are low (2m intraday SPY). Only with the bar magnifier feature it is somewhat possible to tweak realistic with history data. The tighter they are, the more unrealistic your backtest results. As a starting point, set the trailing stop low and find the highest activation level that doesn't change the results drastically, then increase the stop to the value you think reflects real-time behavior. Keep refining by testing it during real-time behavior. Does it exit too early according to your own judgment? You need to increase the stop and maybe the activation level. I hope you will find this useful! DISCLAIMER Trading is risky & most day traders lose money. This indicator is purely for informational & educational purposes only. Past performance does not guarantee future results.
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