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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.
Pine Script™ strategy
by sofex
AI SuperTrend - Strategy [presentTrading] █ Introduction and How it is Different The AI Supertrend Strategy is a unique hybrid approach that employs both traditional technical indicators and machine learning techniques. Unlike standard strategies that rely solely on traditional indicators or mathematical models, this strategy integrates the power of k-Nearest Neighbors (KNN), a machine learning algorithm, with the tried-and-true SuperTrend indicator. This blend aims to provide traders with more accurate, responsive, and context-aware trading signals. *The KNN part is mainly referred from @Zeiierman. BTCUSD 8hr performance ETHUSD 8hr performance █ Strategy, How it Works: Detailed Explanation SuperTrend Calculation Volume-Weighted Moving Average (VWMA): A VWMA of the close price is calculated based on the user-defined length (len). This serves as the central line around which the upper and lower bands are calculated. Average True Range (ATR): ATR is calculated over a period defined by len. It measures the market's volatility. Upper and Lower Bands: The upper band is calculated as VWMA + (factor * ATR) and the lower band as VWMA - (factor * ATR). The factor is a user-defined multiplier that decides how wide the bands should be. KNN Algorithm Data Collection: An array (data) is populated with recent n SuperTrend values. Corresponding labels (labels) are determined by whether the weighted moving average price (price) is greater than the weighted moving average of the SuperTrend (sT). Distance Calculation: The absolute distance between each data point and the current SuperTrend value is calculated. Sorting & Weighting: The distances are sorted in ascending order, and the closest k points are selected. Each point is weighted by the inverse of its distance to the current point. Classification: A weighted sum of the labels of the k closest points is calculated. If the sum is closer to 1, the trend is predicted as bullish; if closer to 0, bearish. Signal Generation Start of Trend: A new bullish trend (Start_TrendUp) is considered to have started if the current trend color is bullish and the previous was not bullish. Similarly for bearish trends (Start_TrendDn). Trend Continuation: A bullish trend (TrendUp) is considered to be continuing if the direction is negative and the KNN prediction is 1. Similarly for bearish trends (TrendDn). Trading Logic Long Condition: If Start_TrendUp or TrendUp is true, a long position is entered. Short Condition: If Start_TrendDn or TrendDn is true, a short position is entered. Exit Condition: Dynamic trailing stops are used for exits. If the trend does not continue as indicated by the KNN prediction and SuperTrend direction, an exit signal is generated. The synergy between SuperTrend and KNN aims to filter out noise and produce more reliable trading signals. While SuperTrend provides a broad sense of the market direction, KNN refines this by predicting short-term price movements, leading to a more nuanced trading strategy. Local picture █ Trade Direction The strategy allows traders to choose between taking only long positions, only short positions, or both. This is particularly useful for adapting to different market conditions. █ Usage ToolTips: Explains what each parameter does and how to adjust them. Inputs: Customize values like the number of neighbors in KNN, ATR multiplier, and moving average type. Plotting: Visual cues on the chart to indicate bullish or bearish trends. Order Execution: Based on the generated signals, the strategy will execute buy/sell orders. █ Default Settings The default settings are selected to provide a balanced approach, but they can be modified for different trading styles and asset classes. Initial Capital: $10,000 Default Quantity Type: 10% of equity Commission: 0.1% Slippage: 1 Currency: USD By combining both machine learning and traditional technical analysis, this strategy offers a sophisticated and adaptive trading solution.
Pine Script™ strategy
by PresentTrading
14
YinYang RSI Volume Trend StrategyThere are many strategies that use RSI or Volume but very few that take advantage of how useful and important the two of them combined are. This strategy uses the Highs and Lows with Volume and RSI weighted calculations on top of them. You may be wondering how much of an impact Volume and RSI can have on the prices; the answer is a lot and we will discuss those with plenty of examples below, but first… How does this strategy work? It’s simple really, when the purchase source crosses above the inner low band (red) it creates a Buy or Long. This long has a Trailing Stop Loss band (the outer low band that's also red) that can be adjusted in the Settings. The Stop Loss is based on a % of the inner low band’s price and by default it is 0.1% lower than the inner band’s price. This Stop Loss is not only a stop loss but it can also act as a Purchase Available location. You can get back into a trade after a stop loss / take profit has been hit when your Reset Purchase Availability After condition has been met. This can either be at Stop Loss, Entry or None. It is advised to allow it to reset in case the stop loss was a fake out but the call was right. Sometimes it may trigger stop loss multiple times in a row, but you don’t lose much on stop loss and you gain lots when the call is right. The Take Profit location is the basis line (white). Take Profit occurs when the Exit Source (close, open, high, low or other) crosses the basis line and then on a different bar the Exit Source crosses back over the basis line. For example, if it was a Long and the bar’s Exit Source closed above the basis line, and then 2 bars later its Exit Source closed below the basis line, Take Profit would occur. You can disable Take Profit in Settings, but it is very useful as many times the price will cross the Basis and then correct back rather than making it all the way to the opposing zone. Longs: If for instance your Long doesn’t need to Take Profit and instead reaches the top zone, it will close the position when it crosses above the inner top line (green). Please note you can change the Exit Source too which is what source (close, open, high, low) it uses to end the trades. The Shorts work the same way as the Long but just opposite, they start when the purchase source crosses under the inner upper band (green). Shorts: Shorts take profit when it crosses under the basis line and then crosses back. Shorts will Stop loss when their outer upper band (green) is crossed with the Exit Source. Short trades are completed and closed when its Exit Source crosses under the inner low red band. So, now that you understand how the strategy works, let’s discuss why this strategy works and how it is profitable. First we will discuss Volume as we deem it plays a much bigger role overall and in our strategy: As I’m sure many of you know, Volume plays a huge factor in how much something moves, but it also plays a role in the strength of the movement. For instance, let’s look at two scenarios: Bitcoin’s price goes up $1000 in 1 Day but the Volume was only 10 million Bitcoin’s price goes up $200 in 1 Day but the Volume was 40 million If you were to only look at the price, you’d say #1 was more important because the price moved x5 the amount as #2, but once you factor in the volume, you know this is not true. The reason why Volume plays such a huge role in Price movement is because it shows there is a large Limit Order battle going on. It means that both Bears and Bulls believe that price is a good time to Buy and Sell. This creates a strong Support and Resistance price point in this location. If we look at scenario #2, when there is high volume, especially if it is drastically larger than the average volume Bitcoin was displaying recently, what can we decipher from this? Well, the biggest take away is that the Bull’s won the battle, and that likely when that happens we will see bullish movement continuing to happen as most of the Bears Limit Orders have been fulfilled. Whereas with #2, when large price movement happens and Bitcoin goes up $1000 with low volume what can we deduce? The main takeaway is that Bull’s pressured the price up with Market Orders where they purchased the best available price, also what this means is there were very few people who were wanting to sell. This generally dictates that Whale Limit orders for Sells/Shorts are much higher up and theres room for movement, but it also means there is likely a whale that is ready to dump and crash it back down. You may be wondering, what did this example have to do with YinYang RSI Volume Trend Strategy? Well the reason we’ve discussed this is because we use Volume multiple times to apply multiplications in our calculations to add large weight to the price when there is lots of volume (this is applied both positively and negatively). For instance, if the price drops a little and there is high volume, our strategy will move its bounds MUCH lower than the price actually dropped, and if there was low volume but the price dropped A LOT, our strategy will only move its bounds a little. We believe this reflects higher levels of price accuracy than just price alone based on the examples described above. Don’t believe us? Here is with Volume NOT factored in (VWMA = SMA and we remove our Volume Filter calculation): Which produced -$2880 Profit Here is with our Volume factored in: Which produced $553,000 (55.3%) As you can see, we wen’t from $-2800 profit with volume not factored to $553,000 with volume factored. That's quite a big difference! (Please note previous success does not predict future success we are simply displaying the $ amounts as example). Now how about RSI and why does it matter in this strategy? As I’m sure most of you are aware, RSI is one of the leading indicators used in trading. For this reason we figured it would only make sense to incorporate it into our calculations. We fiddled with RSI for quite awhile and sometimes what logically seems to be the right way to use it isn’t. Now, because of this, our RSI calculation is a little odd, but basically what we’re doing is we calculate the RSI, then turn it into a percentage (between 0-1) that can easily be multiplied to the price point we need. The price point we use is the difference between our high purchase zone and our low purchase zone. This allows us to see how much price movement there is between zones. We multiply our zone size with our RSI multiplication and we get the amount we will add +/- to our basis line (white line). This officially creates the NEW high and low purchase zones that we are actually using and displaying in our trades. If you found that confusing, here are some examples to why it is an important calculation for this strategy: Before RSI factored in: Which produced 27.8% Profit After RSI factored in: Which produced 553% Profit As you can see, the RSI makes not only the purchase zones more accurate, but it also greatly increases the profit the strategy is able to make. It also helps ensure an relatively linear profit slope so you know it is reliable with its trades. This strategy can work on pretty much anything, but you should tweak the values a bit for each pair you are trading it with for best results. We hope you can find some use out of this simple but effective strategy, if you have any questions, comments or concerns please let us know. HAPPY TRADING!
Pine Script™ strategy
by YinYangAlgorithms
11
Nifty 50 5mint Strategy The script defines a specific trading session based on user inputs. This session is specified by a time range (e.g., "1000-1510") and selected days of the week (e.g., Monday to Friday). This session definition is crucial for trading only during specific times. Lookback and Breakout Conditions: The script uses a lookback period and the highest high and lowest low values to determine potential breakout points. The lookback period is user-defined (default is 10 periods). The script also uses Bollinger Bands (BB) to identify potential breakout conditions. Users can enable or disable BB crossover conditions. BB consists of an upper and lower band, with the basis. Additionally, the script uses Dema (Double Exponential Moving Average) and VWAP (Volume Weighted Average Price) . Users can enable or disable this condition. Buy and Sell Conditions: Buy conditions are met when the close price exceeds the highest high within the specified lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session. Sell conditions are met when the close price falls below the lowest low within the lookback period, Bollinger Bands conditions are satisfied, Dema-VWAP conditions are met, and the script is within the defined trading session. When either condition is met, it triggers a "long" or "short" position entry. Trailing Stop Loss (TSL): Users can choose between fixed points ( SL by points ) or trailing stop (Profit Trail). For fixed points, users specify the number of points for the stop loss. A fixed stop loss is set at a certain distance from the entry price if a position is opened. For Profit Trail, users can enable or disable this feature. If enabled, the script uses a "trail factor" (lookback period) to determine when to adjust the stop loss. If the price moves in the direction of the trade and reaches a certain level (determined by the trail factor), the stop loss is adjusted, trailing behind the price to lock in profits. If the close price falls below a certain level (lowest low within the trail factor(lookback)), and a position is open, the "long" position is closed (strategy.close("long")). If the close price exceeds a certain level (highest high within the specified trail factor(lookback)), and a position is open, the "short" position is closed (strategy.close("short")). Positions are also closed if they are open outside of the defined trading session. Background Color: The script changes the background color of the chart to indicate buy (green) and sell (red) signals, making it visually clear when the strategy conditions are met. In summary, this script implements a breakout trading strategy with various customizable conditions, including Bollinger Bands, Dema-VWAP crossovers, and session-specific rules. It also includes options for setting stop losses and trailing stop losses to manage risk and lock in profits. The "trail factor" helps adjust trailing stops dynamically based on recent price movements. Positions are closed under certain conditions to manage risk and ensure compliance with the defined trading session. CE=Buy, CE_SL=stoploss_buy, tCsl=Trailing Stop_buy. PE=sell, PE_SL= stoploss_sell, tpsl=Trailing Stop_sell. Remember that trading involves inherent risks, and past performance is not indicative of future results. Exercise caution, manage risk diligently, and consider the advice of financial experts when using this script or any trading strategy.
Pine Script™ strategy
by theautotrading
5
Bollinger Bands & Fibonacci StrategyThe Bollinger Bands & Fibonacci Strategy is a powerful technical analysis trading strategy designed to identify potential entry and exit points in financial markets. This strategy combines two widely used indicators, Bollinger Bands and Fibonacci retracement levels, to assist traders in making informed trading decisions. Key Features: Bollinger Bands: This strategy utilizes Bollinger Bands, a volatility-based indicator that consists of an upper band, a lower band, and a middle (basis) line. Bollinger Bands help traders visualize price volatility and potential reversal points. Fibonacci Retracement Levels: Fibonacci retracement levels are essential tools for identifying potential support and resistance levels in price charts. This strategy incorporates Fibonacci retracement levels, including the 0% and 100% levels, to aid in pinpointing key price levels. Long and Short Signals: The strategy generates long (buy) and short (sell) signals based on specific conditions derived from Bollinger Bands and Fibonacci levels. Long signals are generated when price crosses above the upper Bollinger Band and when the price is above the Fibonacci low level. Short signals are generated when price crosses below the lower Bollinger Band and when the price is below the Fibonacci high level. Position Management: To prevent multiple concurrent positions of the same type (long or short), the strategy employs position management logic. It tracks open positions and ensures that only one position type is active at a time. Exit Conditions: The strategy includes customizable exit conditions to manage and close open positions. Traders can fine-tune exit criteria to align with their risk management and profit-taking strategies. User-Friendly: This strategy script is user-friendly and can be easily integrated into the TradingView platform, allowing traders to apply it to various financial instruments and timeframes. Usage: Traders and investors can apply the Bollinger Bands & Fibonacci Strategy to a wide range of financial markets, including stocks, forex, commodities, and cryptocurrencies. It can be adapted to different timeframes to suit various trading styles, from day trading to swing trading. Disclaimer: Trading carries inherent risks, and this strategy is no exception. It is essential to use proper risk management techniques, including stop-loss orders, and thoroughly backtest the strategy on historical data before implementing it in live trading. The Bollinger Bands & Fibonacci Strategy is a valuable tool for technical traders seeking well-defined entry and exit points based on robust indicators. It can serve as a foundation for traders to build and customize their trading strategies according to their individual preferences and risk tolerance. Feel free to customize this description to add any additional details or specifications unique to your strategy. When publishing your strategy on a trading platform like TradingView, a clear and informative description can help potential users understand and use your strategy effectively.
Pine Script™ strategy
by PRIDELEGENX005
3
Stochastic StrategyThis strategy is designed to make trading decisions based on the Stochastic Oscillator (Stoch) indicator with settings of (7,2,2). The strategy opens a long (buy) position when the Stoch indicator crosses above the 50 level from below. Conversely, it opens a short (sell) position when the Stoch indicator crosses below the 50 level from above. Additionally, when a long position is opened, any existing short position is closed, and vice versa. Key Parameters: Stochastic Oscillator Settings: Length = 7, SmoothK = 2, SmoothD = 2. Overbought Level: 80. Oversold Level: 20. Strategy Description: The Stochastic Oscillator (Stoch) is calculated based on the closing price, high price, and low price with a period of 7, and both the %K and %D lines are smoothed with periods of 2. When the %K line crosses above the oversold level (20), it generates a long (buy) signal. When the %K line crosses below the overbought level (80), it generates a short (sell) signal. The strategy visually marks long and short signals on the chart using upward and downward triangles, respectively. The strategy automatically enters long or short positions when the respective conditions are met. If a long position is opened, any existing short position is closed, and vice versa. Please note that this is a basic example of a trading strategy and does not take into account all possible risk factors or optimizations. Before using this strategy in live trading, it's essential to thoroughly test and customize it to suit your specific needs, and carefully analyze the results. Trading carries risks, and it's important to use proper risk management techniques when implementing any trading strategy.
Pine Script™ strategy
by massiveTortois93629
MMI Auto Backtesting StrategyDescription: A strategy based on ATR with auto-backtesting capabilities, Take Profit and Stop Loss (either Normal or Trailing). It allows you to select ranges of values and step for each parameter, and backtest the strategy on a multitude of input combinations at once. You can alternatively use a constant value for each parameter. The backtesting results strive to be as close as possible to those given by Tradingview Strategy Tester. The strategy displays a table with results for different input combinations. This has columns showing current input combination as well as the following stats: Net Profit, Number of trades, % of Profitable trades, Profit Factor, Max Drawdown, Max Runup, Average Trade and Average number of bars in a trade. You can sort the table by any column (including sorting by multiple columns at the same time) to find, for example, input combination that gives highest Net Profit (or, if sorting by multiple columns, to find input combination with the best balance of Net Profit and % of Profitable trades). You can filter by any column as well (or multiple columns at the same time), using logical expressions like "< value", "> value", "<= value", ">= value". And you can use logical expressions like "< value%" for Net Profit, Max Drawdown, Max Runup and Average trade to filter by percentage value. You will see a "↓" symbol in column's header if that column is sorted from Highest to Lowest, a "↑" symbol if it's sorted from Lowest to Highest and a "𐕢" symbol if that column is being filtered. The table has customisable styles (like text color, background color of cells, etc.), and can show the total number of backtested combinations with the time taken to test them. You can also change Initial Capital and Position Size (either Contracts, Currency or % of Equity). Parameters: The following parameters are located in the "INPUTS (USUAL STRATEGY)" group, and control the behaviour of strategy itself (not the auto-backtesting functionality): - Period: ATR Length - Multiplier: ATR Multiplier - DPO: length of the filtering moving average - SL: stop loss - TP: take profit - Use Stop Loss: enable stop loss - Stop Loss Mode: stop loss mode (either Normal or Trailing) - Use Take Profit: enable take profit - Wicks: use high & low price, or close price The strategy also has various parameters separated by different groups: - INPUTS (AUTO-BACKTESTING): has the same parameters as the "INPUTS (USUAL STRATEGY)" group, but controls the input combinations for auto-backtesting; all the numeric parameters have 3 values: F/V (from), T (to) and S (step); if the checkbox to the left of F/V parameter is off, the value of F/V will indicate the constant value used for that parameter (if the checkbox is on, the values will be from F/V to T using step S) - STRATEGY: contains strategy related parameters like Initial Capital and Position Size - BACKTESTING: allows you to display either Percentage, Absolute or Both values in the table and has checkboxes that allow you to exclude certain columns from the table - SORTING: allows you to select sorting mode (Highest to Lowest or vice versa) and has checkboxes in case you want to sort by multiple columns at the same time - FILTERING: has a text field for each column of the strategy where you can type logical expressions to filter the values - TABLE: contains styling parameters Many parameters have the "(i)" description marker, so hover over it to see more details. Problems: - The script works best on lower timeframes and continuous markets (trades 24/7), in other cases the backtesting results may vary from those that Tradingview shows - The script shows closest results when Take Profit and Stop Loss are not used - Max Runup percentage value is often wrong Limitations: - As we are limited by the maximum time a script can be running (which is 20s for Free plan and 40s for Paid plans), we can only backtest several hundreds of combinations within that timeframe (though it depends on the parameters, market and timeframe of the chart you use)
Pine Script™ strategy
by sabricat
Strategy Gaussian Anomaly DerivativeConcept behind this Strategy : Considering a normal "buy/sell" situation, an asset would be bought in average at the median price following a Gaussian like concept. A higher or lower average trend would significate that the current perceived value is respectively higher or lower than the current median price, which mean that the buyers are evaluating the price underpriced or overpriced. This behaviour would be even more relevent depending on its derivative evolution. Therefore, this Strategy setup is based on this Gaussian like concept anomaly of average close positionning compare to high-low average derivative, such as the derivative of the following ploted basic signal : 1-(high+low)/(2*close). This Strategy can actually be used like a trend change and continuation strength indicator aswell. In the Setup Signal part : You can define the filtering of the basis signal "1-(high+low)/(2*close)" on EMA or SMA as you wish. You can define the corresponding period and the threathold as a mutiply of the average 1/3 of all time value of the basis signal. You can define the SMA filtering period of the Derivative signal and the corresponding threathold on the same mutiply of the average 1/3 of all time value of the derivative. In the Setup Strategy part : You can set up your strategy assesment based on Long and/or Short. You can also define the considered period. The most successful tuned strategies I did were based on the derivative indicator with periods on the basis signal and the derivative under 30, can be 1 to 3 of te derivative and 7 to 21 for the basis signal. The threathold depends on the asset volatility aswell, 1 is usually the most efficient but 0 to 10 can be relevent depending on the situation I met. You can find an example of tuning for this strategy based on Kering's case hereafter. I hoping that you will enjoy using this Strategy, don't hesitate to comment, to question, to correct or complete it ! I would be very curious about similar famous approaches that would have already been made. Thank to you !
Pine Script™ strategy
by Koamind
5
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.
Pine Script™ strategy
by sofex
5
Market Breadth Strategy/Introduction The Market Breadth Strategy (MBS) is a versatile strategy for trading the US stock market. MBS is suitable for traders with low, medium and high risk tolerance who prefer trading equities as an asset class on the 1 day timeframe. It combines mean reversion with trend following to keep you participating in the stock market for as long as is profitable. /Signals The strategy is long only. Four different signals are generated to ensure all opportunities the market presents are seized for profit. The first category of signals are triggered after a prolonged period of falling prices; usually during a bear market or severe correction, open your largest positions on this signal. The second category of signals are triggered at the end of the bear market, early in the recovery. They ensure you do not miss out on an early entry if you get stopped out of your initial positions, size them equal to the first category signal positions. The third category of signals are triggered late in the recovery from a bear market, severe correction or deep pullback. Open your smallest positions on this signal. The fourth category of signals are triggered at all times when the market experiences a significant pullback or time correction, these positions should be medium sized. For optimum performance, whenever signals are triggered, traders are advised to open at least, a new long position. Buying the index is recommended for traders with low risk tolerance, buying sector, industry or thematic ETFs (after sufficient analysis) is recommended for traders with medium risk tolerance, while buying stocks (after sufficient analysis) is recommended for traders who want to take on higher risk for higher returns. Such traders may also combine positions in indices, groups and individual stocks for better performance. /Interpretation MBS will display an upward blue arrow signifying a buy signal after the candle closes. A label below the arrow will describe which signal was triggered and a number depicting the number of positions (they can be deactivated in the style settings). MBS will also display a downwards pink arrow above the candle, after a specified decline from the high, again when the candle closes. All open positions will be closed on this signal, it is the risk management feature of the strategy. /Construction The strategy is built using market breadth data from the US Exchanges where stocks are listed, it is not a mash-up of different indicators. A combination of the following data is used: (i) the number of advancing and declining issues (ii) the number of issues reaching new highs (iii) the closing prices of issues relative to key moving averages This data is analysed and used to generate the four categories of signals described previously, they are named; (i) Bottom Signal - for buying at the market's potential bottom (ii) Follow-Up Signal - for ensuring you do not miss the bottom (iii)Follow-Through Signal - for buying strength after a downtrend (iv) Buy-The-Dip Signal - for buying throwbacks in uptrends and pullbacks in downtrends /Settings This strategy works best with the default settings. Although the input parameters can be changed to suit your needs, it is not advisable to do so as it may affect the strategy's performance. (i) The market regime filter checks to see if the market is in a regime of rising prices (bull market) or falling prices (bear market), long signals are avoided in bear market conditions. (ii) The risk size is equivalent to a stop loss. It triggers an exit when price declines by a certain amount. (iii) 'Downside' measures the participation of issues to the downside during a decline while 'Upside' measures the participation of issues to the upside after the decline; this is called 'follow through'. (iv) The bottom interval determines the frequency of bottom signals issued in days. (v) Dip size quantifies the dip to determine if it is large enough for a buy signal, the lower the number, the larger the dip. (vi) Following interval sets the duration for following up on the bottom. (vii) Bottoming interval resets the bottom for the next follow-up /Strategy Results The backtest results are based on a starting capital of $13,700 (convenient amount for retail traders) with $1000 position size (7% of equity and enough for two shares of SPY) and pyramiding of 10 consecutive positions. Commissions of 0.03% and slippage of 2 ticks are used to ensure the results are representative of real world trading conditions. The backtest results are available to view at the bottom of this page. Note that past results are not indicative of future results. The strategy is backtested in ideal conditions, it has no predictive abilities and results from live trading may not achieve the 2.235 profit factor shown here as each trader may introduce subjectivity or interfere with its performance or market conditions might change significantly. Since the strategy was designed for the US stock market, it has been backtested on the SPY (representative of the US stock market) ETF (for consistency in price across brokers). /Tickers This strategy should be used preferably with the SPY ticker which is the ETF for the S&P500. Alternatively, it could be used with VOO and several other S&P500 ETFs or a CFD ticker such as SPX500USD and several others which are based on the futures product. The strategy may not be suitable for futures tickers like ES according to TradingView. /Access The MBS is an Invite-Only script hence, traders interested in this strategy should contact me privately to request access.
Pine Script™ strategy
by oluisrel
Time Session Filter - MACD exampleTime Session Filter in TradingView Strategy: A Comprehensive Guide Welcome to this educational TradingView blog where we dive deep into the functionality and utility of the time session filter in trading strategies. It's interesting to note that the time session filter is a commonly overlooked feature in Pine Script, often not integrated into overall trading strategies. Yet, when used wisely, this tool can significantly enhance your trading approach. In essence, the session filter ensures that trades are only made within a specific, user-defined time frame. By incorporating this often-neglected building block, you can make your strategy more adaptable to various market conditions and trading preferences. What is a Time Session Filter? A time session filter is designed to: Select Times of the Day to Trade: The filter allows you to choose specific hours during the day in which trades are allowed to be excecuted. Toggle Days to Trade: You can decide which days of the week you want to trade, giving you the flexibility to avoid days that are historically not profitable for your strategy. Close Trade When Session Ends: The filter can automatically close any open trade once the specified time session concludes, reducing the risk associated with holding positions outside your chosen time frame. The user interface is streamlined, taking minimal space for the input sections, making it convenient to integrate with other indicators in your overall strategy script. In addition the script colors the background of the chart green when the timesession filter is on and makes the background red when the filter doesn't allow any trades. This helps you to visualise the selected timeframes in relation to chart patterns. Best Practices for Time Selection From my personal trading experience I share some input settings you can try to play around with: Stocks: Trading stocks sometimes yield better results if you only trade in the mornings until lunchtime. This is the period when markets are generally more active, and traders are keenly participating. Cryptocurrencies: For cryptocurrencies, it sometimes makes sense to avoid trading on Fridays, a day when futures contracts often expire. Various other market-moving events also typically occur on Fridays. Random Selection: Interestingly, sometimes choosing a random selection of times and days can improve the script's performance, adding an element of unpredictability that might outperform more systematic approaches. Strategy Overview This strategy script incorporates various elements, including risk position size and MACD indicator, to provide a comprehensive trading strategy. For a detailed explanation of risk position sizing, please refer to this article: For a complete understanding of the MACD indicator utilized, visit the following explanation: Additionally, for high time frame trend filters, consult this resource for more info: Educational Purposes and Risks Please note that this script is for educational purposes and serves merely as an example of how to incorporate a time session filter into a trading strategy for pinescript. It is a simplified strategy without a fixed stop-loss, which can result in higher exposure to significant losses. The time session filter can be a powerful addition to your trading strategy, providing you with the tools to tailor your approach according to time-specific market conditions. By understanding its functionalities and best practices, you can make more informed trading decisions, but always remember that trading carries inherent risks. Happy trading!
Pine Script™ strategy
by Harrocop
3kilos BTC 15mThe "3kilos BTC 15m" is a comprehensive trading strategy designed to work on a 15-minute timeframe for Bitcoin (BTC) or other cryptocurrencies. This strategy combines multiple indicators, including Triple Exponential Moving Averages (TEMA), Average True Range (ATR), and Heikin-Ashi candlesticks, to generate buy and sell signals. It also incorporates risk management features like take profit and stop loss. Indicators Triple Exponential Moving Averages (TEMA): Three TEMA lines are used with different lengths and sources: Short TEMA (Red) based on highs Long TEMA 1 (Blue) based on lows Long TEMA 2 (Green) based on closing prices Average True Range (ATR): Custom ATR calculation with EMA smoothing is used for volatility measurement. Supertrend: Calculated using ATR and a multiplier to determine the trend direction. Simple Moving Average (SMA): Applied to the short TEMA to smooth out its values. Heikin-Ashi Close: Used for additional trend confirmation. Entry & Exit Conditions Long Entry: Triggered when the short TEMA is above both long TEMA lines, the Supertrend is bullish, the short TEMA is above its SMA, and the Heikin-Ashi close is higher than the previous close. Short Entry: Triggered when the short TEMA is below both long TEMA lines, the Supertrend is bearish, the short TEMA is below its SMA, and the Heikin-Ashi close is lower than the previous close. Take Profit and Stop Loss: Both are calculated as a percentage of the entry price, and they are set for both long and short positions. Risk Management Take Profit: Set at 1% above the entry price for long positions and 1% below for short positions. Stop Loss: Set at 3% below the entry price for long positions and 3% above for short positions. Commission and Pyramiding Commission: A 0.07% commission is accounted for in the strategy. Pyramiding: The strategy does not allow pyramiding. Note This strategy is designed for educational purposes and should not be considered as financial advice. Always do your own research and consider consulting a financial advisor before engaging in trading.
Pine Script™ strategy
by deperp
Based RSI (BullDozz)Installation: To use this script, open TradingView and create a new Pine Script strategy. You can paste the code provided into the Pine Script editor. Customizable Inputs: The script includes various input parameters that you can customize to fit your trading preferences. These parameters are defined using the input function and include values like length, TPPercent, and others. You can adjust these values based on your trading strategy. Strategy Signals: The script generates buy and sell signals based on the conditions specified in the buySignal and sellSignal variables. These signals are derived from the analysis of the oscillator (osc) and the Relative Strength Index (rsi). When a buy signal occurs, the script enters a long position, and when a sell signal occurs, it enters a short position. Take Profit: The script includes a take profit feature (useTP) that allows you to enable or disable take profit orders. When enabled, it calculates take profit levels based on the specified percent (TPPercent) and attaches them to the open positions. Plotting: The script also visualizes the oscillator (osc) and a midline (0) on the chart using histogram-style bars. The colors of these bars change based on the oscillator's direction.
Pine Script™ strategy
by BulldozzMoney
Risk Management and Positionsize - MACD exampleMastering Risk Management Risk management is the cornerstone of successful trading, and it's often the difference between turning a profit and suffering a loss. In light of its importance, I share a risk management tool which you can use for your trading strategies. The script not only assists in position sizing but also comes with built-in technical features that help in market timing. Let's delve into the nitty-gritty details. Input Parameter: MarginFactor One of the key features of the script is the MarginFactor input parameter. This element lets you control the portion of your equity used for placing each trade. A MarginFactor of -0.5 means 50% of your total equity will be deployed in placing the position size. Although Tradingview has a built-in option to adjust position sizing in a same way, I personally prefer to have the logic in my pinecode script. The main reason is userexperience in managing and testing different settings for different charts, timeframes and instruments (with the same strategy). Stoploss and MarginFactor If your strategy has a 4% stop-loss, you can choose to use only 50% of your equity by setting the MarginFactor to -0.5. In this case, you are effectively risking only 2% of your total capital per trade, which aligns well with the widely-accepted rule of thumb suggesting a 1-2% risk per trade. Similar if your stoploss is only 1% you can choose to change the MarginFactor to 1, resulting in a positionsize of 200% of your equity. The total risk would be again 2% per trade if your stoploss is set to 1%. Max Drawdown and MarginFactor Your MarginFactor setting can also be aligned with the maximum drawdown of your strategy, seen during a backtested period of 2-3 years. For example, if the max drawdown is 15%, you could calibrate your MarginFactor accordingly to limit your risk exposure. Option to Toggle Number of Contracts The script offers the option to toggle between using a percentage of equity for position sizing or specifying a fixed number of contracts. Utilizing a percentage of equity might yield unrealistic backtest results, especially over longer periods. This occurs because as the capital grows, the absolute position size also increases, potentially inflating the accumulated returns generated by the backtester. On the other hand, setting a fixed number of contracts as your position size offers a more stable and realistic ROI over the backtested period, as it removes the compounding effect on position sizes. Key Features Strategy MACD High Time Frame Entry and Exit Logic The strategy employs a high time frame MACD (Moving Average Convergence Divergence) to make entry and exit decisions. You can easily adjust the timeframe settings and MACD settings in the inputsection to trade on lower timeframes. For more information on the HTF MACD with dynamic smoothing see: Moving Average High Time Frame Filter To reduce market 'noise', the strategy incorporates a high time frame moving average filter. This ensures that the trades are aligned with the dominant market trend (trading the trend). In the inputsection traders can easily switch between different type of moving averages. For more information about this HTF filter see: Dynamic Smoothing The script includes a feature for dynamic smoothing. The script contains The timeframeToMinutes(tf) function to convert any given time frame into its equivalent in minutes. For example, a daily (D) time frame is converted into 1440 minutes, a weekly (W) into 10,080 minutes, and so forth. Next the smoothing factor is calculated by dividing the minutes of the higher time frame by those of the current time frame. Finally, the script applies a Simple Moving Average (SMA) over the MACD, SIGNAL, and HIST values, MA filter using the dynamically calculated smoothing factor. User Convenience: One of the major benefits is that traders don't need to manually adjust the smoothing factor when switching between different time frames. The script does this dynamically. Visual Consistency: Dynamic smoothing helps traders to more accurately visualize and interpret HTF indicators when trading on lower time frames. Time Frame Restriction: It's crucial to note that the operational time frame should always be lower than the time frame selected in the input sections for dynamic smoothing to function as intended. By incorporating this dynamic smoothing logic, the script offers traders a nuanced yet straightforward way to adapt High Time Frame indicators for lower time frame trading, enhancing both adaptability and user experience. Limitations: Exit Strategy It's crucial to note that the script comes with a simplified exit strategy, devoid of features like a stop-loss, trailing stop-loss or multiple take profits. This means that while the script focuses on entries and risk management, it might result in higher losses if market conditions unexpectedly turn unfavorable. Conclusion Effective risk management is pivotal for trading success, and this TradingView script is designed to give you a better idea how to implement positions sizing with your preferred strategy. However, it's essential to note that this tool should not be considered financial advice. Always perform your due diligence and consult with financial advisors before making any trading decisions. Feel free to use this risk management tool as building block in your trading scripts, Happy Trading!
Pine Script™ strategy
by Harrocop
4
Dual-Supertrend with MACD - Strategy [presentTrading]## Introduction and How it is Different The Dual-Supertrend with MACD strategy offers an amalgamation of two trend-following indicators (Supertrend 1 & 2) with a momentum oscillator (MACD). It aims to provide a cohesive and systematic approach to trading, eliminating the need for discretionary decision-making. Key advantages over traditional single-indicator strategies: - Dual Supertrend Validation: Utilizes two Supertrend indicators with different ATR periods and factors to confirm the trend direction. This double-check mechanism minimizes false signals. - Momentum Confirmation: The MACD histogram acts as a momentum filter, confirming entries and exits, thus adding an extra layer of validation. - Objective Entry and Exit: The strategy generates buy and sell signals based on a combination of trend direction and momentum, leaving no room for subjective interpretation. - Automated Trade Management: The strategy includes built-in settings for commission, slippage, and initial capital, automating the trade execution process. - Adaptability: The strategy allows for easy customization of all its parameters, adapting to a trader's specific needs and varying market conditions. BTCUSD 8hr chart Long Condition BTCUSD 6hr chart Long Short Condition ## Strategy, How it Works The strategy operates on a set of clearly defined rules, primarily focusing on the trend direction confirmed by the Dual-Supertrend and the momentum as indicated by the MACD histogram. ### Entry Rules - Long Entry: When both Supertrend indicators are bullish and the MACD histogram is above zero. - Short Entry: When both Supertrend indicators are bearish and the MACD histogram is below zero. ### Exit Rules - Exit long positions when either of the Supertrends turn bearish or the MACD histogram drops below zero. - Exit short positions when either of the Supertrends turn bullish or the MACD histogram rises above zero. ### Trade Management - The strategy uses a fixed commission rate and slippage in its calculations. - Automated risk management features are integrated to avoid overexposure. ## Trade Direction The strategy allows for trading in both bullish and bearish markets. Users can select their preferred trading direction ("long", "short", or "both") to align with their market outlook and trading objectives. ## Usage - The strategy is best applied on timeframes where the trend is evident. - Users can modify the ATR periods, factors for Supertrends, and MACD settings to suit their trading needs. ## Default Settings - ATR Period for Supertrend 1: 10 - Factor for Supertrend 1: 3.0 - ATR Period for Supertrend 2: 20 - Factor for Supertrend 2: 5.0 - MACD Fast Length: 12 - MACD Slow Length: 26 - MACD Signal Smoothing: 9 - Commission: 0.1% - Slippage: 1 point - Trading Direction: Both The strategy comes with these default settings to offer a balanced trading approach but can be customized according to individual trading preferences.
Pine Script™ strategy
by PresentTrading
5
Strategy:Reversal-CatcherWhat This is a plain and vanilla reversal based strategy for intraday (15m) timeframe on Futures prices of the assets. Now what all it comprises of? It finds out the dynamic support & resistance from Bollinger Band (20 period, 1.5 std dev). It finds out the potential divergence of price deviation from 5 period exponential moving average (EMA). If the previous candle (N-1) shows a divergence it confirms the reversal by checking the present candle (N) to be closed inside the Bollinger Band. It confirms the momentum by checking RSI shows a crossover/crossunder to oversold (30) / overbought (70) region. It also confirms whether the trend is up (then only reversal trade to short) or down (then only reversal trade to long). The trend is checked with EMA-21 and EMA-50. Re-affirmation Condition : It re-affirms the position of two successive candles called as `hhLLong` and `hhLLShort` in the script. Why In Indian context, retail participants are pre-dominantly (yes- 80% of Indian daily volume) Options buyers mainly in weekly indices (Nifty, BankNifty, FinNifty, CNXMidcap, Sensex, Bankx .. well everyday is expiry now in India, except -- Thank God -- Saturday & Sunday). And in Index Options the momentum plays a big role. If one can catch a good reversal point the potential of high Risk-to-Reward trade (hence earn handsomely) is very likely (please note: there is no holy grail in trading. Nothing works 100%). So this is the attempt to catch a reversal. Re-affirmation of Reversal hhLLong : It's a reversal point after an uptrend. It checks the relative positioning of current candle compared to that of previous candle. [The details are in the script. Check for variable hhLLong in script. hhLLShort : It's a reversal point after a downtrend. It checks the relative positioning of current candle compared to that of previous candle. [The details are in the script. Check for variable hhLLShort in script. Unique-ness What's unique in it? Why we decided to publicly share this: Already given the context of The Great Indian Options Buyers community. It should be helpful to them, we believe. It takes Very Less Number of Trades with High Accuracy . Please check the result in NSE:NIFTY1! in 15m timeframe. 71% accuracy with roughly a trade in a month. There is no point giving brokers' the brokerages taking 10 trades a day and ending not-so-good EoD. Better lets take less trades with better result possibility. . Mention There are many people uses this variation of Bolling Band, 5EMA Many people use RSI, trends and relative positioning of candles. --> We are grateful to all of them. It's really difficult to mention everyone's name. But all people somehow influence the thought process. Thanks for all of them. Statutory Disclaimer There is no silver bullet / holy grail in trading. Nothing works 100% time. One has to be careful about the loss (s)he can bear in case of the trade goes against. We, as the author of this script, is not responsible for any trading or position decision one is taken based on the outcome of this. It is our sole discretion to change, add, delete the portion or withdraw the whole script without any prior notice or intimation. In Indian Context : We are not SEBI registered, will never be SEBI registered.
Pine Script™ strategy
by pradipandsuvra
1
Linear Cross Trading StrategyLinear Cross Trading Strategy The Linear Cross trading strategy is a technical analysis strategy that uses linear regression to predict the future price of a stock. The strategy is based on the following principles: The price of a stock tends to follow a linear trend over time. The slope of the linear trend can be used to predict the future price of the stock. The strategy enters a long position when the predicted price crosses above the current price, and exits the position when the predicted price crosses below the current price. The Linear Cross trading strategy is implemented in the TradingView Pine script below. The script first calculates the linear regression of the stock price over a specified period of time. The script then plots the predicted price and the current price on the chart. The script also defines two signals: Long signal: The long signal is triggered when the predicted price crosses above the current price. Short signal: The short signal is triggered when the predicted price crosses below the current price. The script enters a long position when the long signal is triggered and exits the position when the short signal is triggered. Here is a more detailed explanation of the steps involved in the Linear Cross trading strategy: Calculate the linear regression of the stock price over a specified period of time. Plot the predicted price and the current price on the chart. Define two signals: the long signal and the short signal. Enter a long position when the long signal is triggered. Exit the long position when the short signal is triggered. The Linear Cross trading strategy is a simple and effective way to trade stocks. However, it is important to note that no trading strategy is guaranteed to be profitable. It is always important to do your own research and backtest the strategy before using it to trade real money. Here are some additional things to keep in mind when using the Linear Cross trading strategy: The length of the linear regression period is a key parameter that affects the performance of the strategy. A longer period will smooth out the noise in the price data, but it will also make the strategy less responsive to changes in the price. The strategy is more likely to generate profitable trades when the stock price is trending. However, the strategy can also generate profitable trades in ranging markets. The strategy is not immune to losses. It is important to use risk management techniques to protect your capital when using the strategy. I hope this blog post helps you understand the Linear Cross trading strategy better. Booost and share with your friend, if you like.
Pine Script™ strategy
by stocktechbot