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Forecasting

Cycles AnalysisI strongly believe in cycles, so I wanted to create something that would give a visual representation of bull/bear markets and give a prediction based on the previous data. It's up to you how to decide what is a bull/bear cycle. There is no single rule for all assets because 20% drop in SP500 starts a bear market in traditional markets, while 35% drop for Bitcoin is a Tuesday. You have two options on how to decide when markets turn: either by a % change (traditional definition) or if there is no new high/low after X days. A softer version to show periods of no new highs/lows is to use the Stagnation option. Stagnation periods hava the same logic as the cycle change by X days: if there is no new high/low then we treat this period as a stagnation. The difference is that stagnation periods do not change cycle directions and do not participate in calculations. The script also draws a possible "predictions" zone where the current cycle might end up. There is no magic here, it just takes previous cycles' size to draw the possible boundaries. If you decide to use percentiles then the box area will be taken from the percentiles calculations, otherwise it will come from the full data. "x" in the predictions zone represents a target mean (average) value, "o" represents a target median value. A few things to keep in mind: - this script is not supposed to be used in trading. It was created for analysis. It repaints. And when I say "it repaints" - it might like repaint the last 6 months of data if a new low comes and we are in a stagnation period (aka not a financial advice). - it doesn't work with replays as it does calculations only once on the last candle. - you need at least 3 periods to be able to calculate percentiles. And after this it will remove at least 1 period on each side. Which means that 90 percentile will not be a real 90 percentile until you have enough periods for it to be (20 in this specific case). - it assumes that a year = 360 days, and a month = 30 days. So the duration presentation might not be exact, until you move to the day level. - I had macro analysis in mind when I created the script, but nothing stops you from using it in a 1m time frame for BTC. Just change the time duration presentation. - the last period is not finished, so it doesn't participate in calculations.
อินดิเคเตอร์ Pine Script®
โดย Intetics
25
K's Pivot PointsPivot points are a popular technical analysis tool used by traders to identify potential levels of support and resistance in a given timeframe. Pivot points are derived from previous price action and are used to estimate potential price levels where an asset may experience a reversal, breakout, or significant price movement. The calculation of pivot points involves a simple formula that takes into account the high, low, and close prices from the previous trading session or a specific period. The most commonly used pivot point calculation method is the "Standard" or "Classic" method. Here's the formula: Pivot Point (P) = (High + Low + Close) / 3 In addition to the pivot point itself, several support and resistance levels are calculated based on the pivot point value. K's Pivot Points try to enhance them by incorporating multiple elements and by applying a re-integration strategy to validate two events: * Found_Support: This event represents a basing market that is bound to recover or at least shape a bounce. * Found_Resistance: This event represents a toppish market that is bound to consolidate or at least shape a pause. K's Pivot Points are calculated following these steps: 1. Calculate the highest of highs for the previous 24 periods (preferably hours). 2. Calculate the lowest of lows for the previous 24 periods (preferably hours). 3. Calculate a 24-period (preferably hours) moving average of the close price. 4. Calculate K's Pivot Point as the average between the three previous step. 5. To find the support, use this formula: Support = (Lowest K's pivot point of the last 12 periods * 2) - Step 1 6. To find the resistance, use this formula: Resistance = (Highest K's pivot point of the last 12 periods * 2) - Step 2 The re-integration strategy to find support and resistance areas is as follows: * A support has been found if the market breaks the support and shapes a close above it afterwards. * A resistance has been found if the market surpasses the resistance and shapes a close below it afterwards. The lookback period (whether 24 and 12) can be modified but the default versions work well.
อินดิเคเตอร์ Pine Script®
โดย Sofien-Kaabar
5
ATR profit and loss linesWhat is ATR? Taking a candlestick, the following 3 transactions are calculated: 1-The difference between the high of the day and the low of the day 2-The difference between today's high and yesterday's close 3-The difference between today's low and yesterday's close Atr takes the average of these 14-day candlesticks after making their calculations and it predicts how high or low a candle can go and these give us support and resistance helps with points If you have noticed a rise in your chart and have no idea how high it will go, you can use Atr profit and loss lines. The red zone is the stop point, the blue zones are the snow zones. Must be used with macd. macd is validator. There is an increase in your chart, you opened the atr profit and loss lines upwards and if macd gives you an increase, it is recommended that you enter the trade at that time. It is recommended to increase your loss line 1 step in the direction of profit every 2 profit breaks on atr profit and loss lines. ATR Nedir? Bir mum barı ele alınarak şu 3 işlem hesaplanır: 1-Günün yükseği ile günün düşüğü farkı 2-Günün yükseği ile dünün kapanışının farkı 3-Günün düşüğü ile dünkü kapanışın farkı ATR ise 14 günlük bu mum barlarının hesaplarını yaptıktan sonra ortalamasını alır ve bir mumum ne kadar yükselip düşebileceği konusunda tahmin verir ve bunlar bize destek ve direnç noktaları konusunda yardımcı olur Eğer grafiğinizde bir yükseliş farketmişseniz ne kadar yükseleceği konusunda fikriniz yoksa Atr kar zarar çizgilerini kullanabilirsiniz. Kırmızı bölge durdurma noktası,mavi bölgeler kar bölgeleridir. Macd ile birlikte kullanılmalıdır.macd doğrulayıcıdır. Grafiğinizde yükseliş var,atr kar zarar çizgilerini yukarı yönlü açtınız ve macd size yükseliş veriyorsa işte o sırada işleme girmeniz tavsiye edilir.atr kar zarar çizgilerinde her 2 kar kırılımında bir zarar çizginizi kar yönünde 1 kademe arttırmanız önerilir
อินดิเคเตอร์ Pine Script®
โดย yatirim_tavsiyesi_degildirrr
2
ATR% multiple from 50-MABig credits again to TradingView User @Fred6724 to develop this tool on my behalf to our community. How can one measure stock price extension? In my view, decision-making in the trading business should rely on quantifiable data. A method I personally employ for scaling out and taking partial profits involves setting a threshold based on the multiple of Average True Range (ATR%) from the 50-day Simple Moving Average (SMA). For instance, I find it beneficial to start taking profits when positions exceed 7-10 times the ATR% from the 50-SMA. This practice helps prevent second-guessing or becoming emotionally attached to any particular position. A relevant example illustrating this concept is the case of PLTR, SOFI, TSLA, VRT, NVDA which experienced a stall and subsequent decline after exceeding 10 times the ATR% from its 50-day moving average. While there is no foolproof profit-taking mechanism that guarantees selling at the absolute market peak, employing this strategy can be a valuable tool for scaling out profits during extended periods to minimize potential losses. The formula employed is as below: A = ATR% = $ ATR / $ Last Done Price B = % Gain From 50-MA B / A = ATR% multiple from 50-MA
อินดิเคเตอร์ Pine Script®
โดย jfsrevg
33
Adaptive Mean Reversion IndicatorThe Adaptive Mean Reversion Indicator is a tool for identifying mean reversion trading opportunities in the market. The indicator employs a dynamic approach by adapting its parameters based on the detected market regime, ensuring optimal performance in different market conditions. To determine the market regime, the indicator utilizes a volatility threshold. By comparing the average true range (ATR) over a 14-period to the specified threshold, it determines whether the market is trending or ranging. This information is crucial as it sets the foundation for parameter optimization. The parameter optimization process is an essential step in the indicator's calculation. It dynamically adjusts the lookback period and threshold level based on the identified market regime. In trending markets, a longer lookback period and higher threshold level are chosen to capture extended trends. In ranging markets, a shorter lookback period and lower threshold level are used to identify mean reversion opportunities within a narrower price range. The mean reversion calculation lies at the core of this indicator. It starts with computing the mean value using the simple moving average (SMA) over the selected lookback period. This represents the average price level. The deviation is then determined by calculating the standard deviation of the closing prices over the same lookback period. The upper and lower bands are derived by adding and subtracting the threshold level multiplied by the deviation from the mean, respectively. These bands serve as dynamic levels that define potential overbought and oversold areas. In real-time, the indicator's adaptability shines through. If the market is trending, the adaptive mean is set to the calculated mean value. The adaptive upper and lower bands are adjusted by scaling the threshold level with a factor of 0.75. This adjustment allows the indicator to be less sensitive to minor price fluctuations during trending periods, providing more robust mean reversion signals. In ranging market conditions, the regular mean, upper band, and lower band are used as they are more suited to capture mean reversion within a confined price range. The signal generation component of the indicator identifies potential trading opportunities based on the relationship between the current close price and the adaptive upper and lower bands. If the close price is above the adaptive upper band, it suggests a potential short entry opportunity (-1). Conversely, if the close price is below the adaptive lower band, it indicates a potential long entry opportunity (1). When the close price is within the range defined by the adaptive upper and lower bands, no clear trading signal is generated (0). To further strengthen the quality of signals, the indicator introduces a confluence condition based on the RSI. When the RSI exceeds the threshold levels of 70 or falls below the threshold level of 30, it indicates a strong momentum condition. By incorporating this confluence condition, the indicator ensures that mean reversion signals align with the prevailing market momentum. It reduces the likelihood of false signals and provides traders with added confidence when entering trades. The indicator offers alert conditions to notify traders of potential trading opportunities. Alert conditions are set to trigger when a potential long entry signal (1) or a potential short entry signal (-1) aligns with the confluence condition. These alerts allow traders to stay informed about favorable mean reversion setups, even when they are not actively monitoring the charts. By leveraging alerts, traders can efficiently manage their time and take advantage of market opportunities. To enhance visual interpretation, the indicator incorporates background coloration that provides valuable insights into the prevailing market conditions. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the background color is set to lime. This color suggests a bullish trend that is potentially reaching an exhaustion point and about to revert downwards. Similarly, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the background color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point and about to revert upwards. By employing background coloration, the indicator enables traders to quickly identify market conditions that may offer mean reversion opportunities with a directional bias. The indicator further enhances visual clarity by incorporating bar coloring that aligns with the prevailing market conditions and signals. When the indicator generates a potential short entry signal (-1) that aligns with the confluence condition, the bar color is set to lime. This color signifies a bullish trend that is potentially reaching an exhaustion point, indicating a high probability of a downward reversion. Conversely, when the indicator generates a potential long entry signal (1) that aligns with the confluence condition, the bar color is set to fuchsia. This color represents a bearish trend that is potentially reaching an exhaustion point, indicating a high probability of an upward reversion. By using distinct bar colors, the indicator provides traders with a clear visual distinction between bullish and bearish trends, facilitating easier identification of mean reversion opportunities within the context of the broader trend. While the "Adaptive Mean Reversion Indicator" offers a robust framework for identifying mean reversion opportunities, it's important to remember that no indicator is foolproof. Traders should exercise caution and employ risk management strategies. Additionally, it is recommended to use this indicator in conjunction with other technical analysis tools and fundamental factors to make well-informed trading decisions. Regular backtesting and refinement of the indicator's parameters are crucial to ensure its effectiveness in different market conditions.
อินดิเคเตอร์ Pine Script®
โดย LeafAlgo
3
Algorganic Buy / Sell / X-Exit Signal [UOI]The " Algorganic Buy / Sell / X-Exit Signal " indicator is an Algorithmic Machine Learning-based superpack indicator that generates buy and sell signals for trading in financial markets. It is packed with conditional statemnets and filters to avoid false signals and utilizes Nearest Neighbors Model (NNM) algorithm with a distance metric to determine the direction of the price movement and make predictions according to the next past 12 bars for the next 4 to 8 bars in whatever chart frame the trader is using. Ideal time frames are 2, 3, 5 and 15 minutes for option traders and scalpers can use it on the 1 minute chart. The indicator takes into account various technical indicators such as Relative Strength Index (RSI), Average Directional Index (ADX), CCI, Stochastic, ATR and major EMAs and has two optimizer for confirmation. These indicators are used as features to train the Machine Learning model and at the same time to provide better buy and sell signals with multiple "if" conditions. The NNM algorithm calculates the distance between the current data point and historical data points. It works like a mixture of ATR and ADX. By considering the nearest neighbors, the model predicts the direction of future price movement. The predictions are filtered using additional criteria, including volatility, trend detection, and, ATR and ADX values. The indicator provides visual signals on the chart, indicating when to enter a long (buy) or short (sell) position but traders should also be mindful of support and resistance levels and oversold and overbought conditions and the higher timeframe signal. It also offers options for dynamic exits based on specific conditions or fixed exits after a predefined number of bars. Additionally, the indicator includes filters based on EMA (Exponential Moving Average), SMA (Simple Moving Average), and a kernel regression technique. These filters help to refine the signals and reduce noise in the predictions. The indicator also includes alert functionalities to notify traders of entry and exit points. The Algorganic is a versatile trading indicator that provides buy and sell signals based on the analysis of various popular technical indicators in combination with Machine Learning techniques with technical analysis and support and resistance levels to generate trading signals, helping traders make informed decisions. This powerful tool overlays on your price chart and can be used across different markets and timeframes. Key Features: 1. Dynamic EMA Support and Resistance Levels: You can define the top and bottom lines as either 'Support' or 'Resistance'. These levels are calculated using an Exponential Moving Average (EMA) and Average True Range (ATR) inputs. 2. Exponential Moving Average (EMA): The EMA is calculated based on the EMA length input provided by the user, with a default setting of 21 periods. 3. Average True Range (ATR): The ATR is calculated with a default length of 14 periods and is used in determining the support and resistance levels. 4. Buy/Sell Signals: The indicator provides buy and sell signals when the price hits the defined support or resistance levels. These signals are represented by X-shapes plotted on the chart, with green indicating a hit on support (buy signal), and red indicating a hit on resistance (sell signal). 5. Trend Strength Analysis: It uses a unique combination of technical indicators like MACD, RSI, Velocity, CCI, Stochastic, and a custom trend strength indicator. The settings for each of these indicators can be customized according to user preference. 6. Bull/Bear Tug of War: This feature paints the little triangles green if the majority of the indicators are bullish, and red if the majority are bearish. This is a powerful feature to visualize the overall market sentiment. 7. Buy/Sell Alert: The script generates alerts for potential buy and sell signals. Alerts contain information about the signal type, ticker symbol, and current price. 8. Plot EMA Line: This indicator includes an option to display an additional EMA line on the chart, which can be toggled on or off as per the user's choice. How to use it: You basically need to master riding this machine. There are a lot of conditions that have been added to make sure novice traders do not make a mistake. The image below shows how to use the indicator. Pay attention to colors: Longer time frame you should pay attention to the EMA lines and over bought and oversold levels in the optimizers. here is an example: And another example on 15 min timeframe: On top of all the above, this indicator has a built-in advanced support and resistance tool that dynamically identifies pivot points and their corresponding support and resistance zones based on the historical data of a given asset. So what this means is that you should ignore a buy signal very close to a resistance and only enter when the resistance is broken. Here are the configurable support and resistance parameters: 1. Pivot Period : The period considered for pivot detection. The range is between 4 to 30 days with a default value of 25. 2. Source: The price point to be used as the source for pivot detection. You can choose between 'High/Low' and 'Close/Open'. 3. Maximum Number of Pivot: This defines the maximum number of pivot points that the algorithm will store. This can be anywhere from 5 to 100, with 45 as the default value. 4. Maximum Channel Width % : This sets the maximum width of the support/resistance channel as a percentage. Minimum value is 1, with a default value of 10. Higher numbers capture longer timeframe and lower number shorter timeframes. For scalping use 5 or 8 for swing use 12 or 14. 5. Maximum Number of Lines: This sets the maximum number of support/resistance lines displayed on the chart. It ranges from 1 to 15 with a default of 10. 6. Minimum Strength: This is the minimum strength of the support or resistance line, defined by the number of times price touches it. It ranges from 1 to 10 with a default of 2. 7. Line Style: This option allows the user to choose the line style between 'Solid', 'Dotted', and 'Dashed'. 8. Line Width: This allows users to choose the width of the line ranging from 1 to 4. 9. Resistance Color and Support Color: These define the colors for the resistance and support lines. The script also includes functions to calculate if the price has crossed over or under a support or resistance line. The S/R assist uses these inputs to calculate pivot highs and lows, create support and resistance zones, and plot these on the chart. When the price crosses a support or resistance line, the script can identify this as a possible trading signal. The lines' strengths are also calculated, and only those with strengths above the user-defined minimum are drawn on the chart.
อินดิเคเตอร์ Pine Script®
โดย uoi2020
46
ICT ADR Levels - Judas x Daily Range Meter°The Average Daily Range (ADR) is a common metric used to measure volatility in an asset. It calculates the average difference between the highest and lowest price over a time interval – normally five days. The Inner Circle Trader teaches the importance of this metric from an algorithmic point of view; in particular the 1/3ADR price level is deemed to be a threshold used to determine the area at which a Judas Swing – false move to trick market participants, protraction, manipulation – might exhaust. Another key difference in the ICT-use of this metric compared to the classic approach is that the average range is calculated from New York midnight Time, rather than the daily candle's open . It is crucial to remember that the elements of Time are key when it comes to interpreting how price action will, or won't, react to this level: what Time of the day is it? what day of the week? what week of the month? Let's consider the Time of the day. If one thinks about the Power of Three of the daily candle (Accumulation, Manipulation Distribution), it is highly unlikely that a Manipulation event will happen later in the day – whereas seeing the 1/3ADR hold in London session or New York open gives undeniable edge to an Analyst. Apart from the 1/3ADR level seen from a Judas perspective, the opposing 1/3 level, and the full ADR projections, are excellent algorithmic levels at which we will see orderflow or reactions worth studying. These can be take profit targets, reversal opportunities, pyramid entries, ... Study them, and find what works for you! Features: Display a table with the previous N days' ranges and the current ADR value Decide whether to consider daily candles, or New York (00:00 to 00:00 NY Time) for the basis of the calculation See the ADR Range, the ADR price levels and 1/3ADR price levels by hovering over the text labels Plot the ADR levels from the Midnight Anchor, or as offset markers on the side for a cleaner look Show/Hide all elements individually Examples: –  CBOT_MINI:YM1! at Equity Open – INDEX:BTCUSD Perfect Buy Day Signature – FX:EURUSD Clean Break = No Judas – TSX:GC Repeated Attempts = Liquidity Engineering
อินดิเคเตอร์ Pine Script®
โดย toodegrees
76
Bitcoin Limited Growth ModelThe Bitcoin Limeted Growth is a model proposed by QuantMario that offers an alternative approach to estimating Bitcoin's price based on the Stock-to-Flow (S2F) ratio. This model takes into account the limitations of the traditional S2F model and introduces refinements to enhance its analysis. The S2F model is commonly used to analyze Bitcoin's price by considering the scarcity of the asset, measured by the stock (existing supply) relative to the flow (new supply). However, the LGS-S2F Bitcoin Price Formula recognizes the need for improvements and presents an updated perspective on Bitcoin's price dynamics. Invalidation of the Normal S2F Model: The normal S2F model has faced criticisms and challenges. One of the limitations is its assumption of a linear relationship between the S2F ratio and Bitcoin's price, overlooking potential nonlinearities and other market dynamics. Additionally, the normal S2F model does not account for external influences, such as market sentiment, regulatory developments, and technological advancements, which can significantly impact Bitcoin's price. Addressing the Issues: The LGS-S2F Bitcoin Price Formula introduces refinements to address the limitations of the traditional S2F model. These refinements aim to provide a more comprehensive analysis of Bitcoin's price dynamics: Nonlinearity: The LGS-S2F model recognizes that the relationship between the S2F ratio and Bitcoin's price may not be linear. It incorporates a logistic growth function that considers the diminishing returns of scarcity and the saturation of market demand. Data Analysis: The LGS-S2F model employs statistical analysis and data-driven techniques to validate its predictions. It leverages historical data and econometric modeling to support its analysis of Bitcoin's price. Utility: The LGS-S2F Bitcoin Price Formula offers insights for traders and investors in the cryptocurrency market. By incorporating a more refined approach to analyzing Bitcoin's price, this model provides an alternative perspective. It allows market participants to consider various factors beyond the S2F ratio alone, potentially aiding in their decision-making processes. Key Features: Adjustable Coefficients Sigma calculation methods: Normal or Stdev Credit: The LGS-S2F Bitcoin Price Formula was developed by QuantMario, who has contributed to the field of cryptocurrency analysis through their research and modeling efforts.
อินดิเคเตอร์ Pine Script®
โดย EliCobra
2
FalconRed 5 EMA Indicator (Powerofstocks)Improved version: This indicator is based on Subhashish Pani's "Power of Stocks" 5 EMA Strategy, which aims to identify potential buying and selling opportunities in the market. The indicator plots the 5 EMA (Exponential Moving Average) and generates Buy/Sell signals with corresponding Target and Stoploss levels. Subhashish Pani's 5 EMA Strategy is a straightforward approach. For intraday trading, a 5-minute timeframe is recommended for selling. In this strategy, you can choose to sell futures, sell calls, or buy puts as part of your selling strategy. The goal is to capture market tops by selling at the peak, anticipating a reversal for profitable trades. Although this strategy may result in frequent stop losses, they are typically small, while the minimum target should be at least three times the risk taken. By staying aligned with the trend, significant profits can be achieved. Subhashish Pani claims that this strategy has a 60% success rate. Strategy for Selling (Short Future/Call/Stock or Buy Put): 1. When a candle completely closes above the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle. 2. If the next candle is also entirely above the 5 EMA and does not break the low of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle. 3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the low of the Alert Candle, take a short trade (e.g., short futures, calls, stocks, or buy puts). 4. Set the stop loss above the high of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss). Strategy for Buying (Buy Future/Call/Stock or Sell Put): 1. When a candle completely closes below the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle. 2. If the next candle is also entirely below the 5 EMA and does not break the high of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle. 3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the high of the Alert Candle, take a long trade (e.g., buy futures, calls, stocks, or sell puts). 4. Set the stop loss below the low of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss). Buy/Sell with Additional Conditions: An additional condition is added to the buying/selling strategy: 1. Check if the closing price of the current candle is lower than the closing price of the Alert Candle for selling, or higher than the closing price of the Alert Candle for buying. - This condition aims to filter out false moves, potentially preventing entering trades based on temporary fluctuations. However, it may cause you to miss out on significant moves, as you will enter trades after the candle closes, rather than at the breakout point. Note: According to Subhashish Pani, the recommended timeframe for intraday buying is 15 minutes. However, this strategy can also be applied to positional/swing trading. If used on a monthly timeframe, it can be beneficial for long-term investing as well. The rules remain the same for all types of trades and timeframes. If you need a deeper understanding of this strategy, you can search for "Subhashish Pani's (Power of Stocks) 5 EMA Strategy" on YouTube for further explanations. Note: This strategy is not limited to intraday trading and can be applied to positional/swing
อินดิเคเตอร์ Pine Script®
โดย falcon_red
Probability Box Rule of Thirds [PPI]█ Probability Box Rule of Thirds The Probability Box Rule of Thirds , is a visual indicator that helps traders identify possible overbought and oversold conditions. It does this by dividing the price range – highest high minus the lowest low of a given lookback period or date range – into thirds. Each third has distinct probability characteristics and when combined represent a probability box. We have spent years refining the probability box concept, and have previously published a How To on Trading View – "How to Trade Probability Ranges – The Critical Rule of 1/3" which can be found here: To quickly summarize the How To – when using the Rule of Thirds , you are using a combination of statistics, probabilities of success, and prior price action to determine when to enter a trade. The visual range division helps remove subjectivity and clearly shows when the trading odds are stacked in your favor. By identifying and taking higher probability trades, you have a higher chance of success as trading is all about probability and risk management. Implementing the Rule of Thirds starts with finding an instrument that is consolidating and identifying the nearest important support and resistance levels based on your targeted trading timeframe or lookback period. The range between the support and resistance levels is divided into thirds to form three zones within the consolidation range. When going LONG , you want to BUY in the bottom third of the range. Once you buy, your objective is to hold during the middle third and sell when the price enters the top third. When you buy in the lower third, there's a 66.6% probability of success. If you buy in the middle third, you only have a 50% / 50% chance of success. Going long in the top third of the range gives you a 33.3% chance of success as you are already close to the identified resistance level. When going SHORT , the sequence and odds are reversed. You want to SELL in the top third of the range, hold the middle third and exit in the bottom third of the range. This gives you a 66.6% chance of success when entering in the top third, a 50% / 50% chance when entering in the middle third, and a 33.3% chance in the bottom third given you are already close to the identified support level. When the price lies in the middle third, the even 50% / 50% odds provide no probability edge and a trader is better off waiting until the price reaches the upper or lower thirds of the price range. The Rule of Thirds allows us to quickly visually evaluate trades based on probabilities, selectively enter trades that have the highest odds of success, and avoid likely losing trades. The Rule of Thirds gives you confidence to hold trades based on prior trading ranges and provides clear levels where the prices are likely to either reverse or start trending. The Probability Box Rule of Thirds automatically implements the first two steps of the Rule of Thirds by using the highest high and lowest low of a given lookback period to identify the support and resistance levels, and automatically divides the range into thirds. The rest of the Rule of Thirds rules remain the same. Just having the price within the bottom thirds or top thirds, however, does not mean the price will immediately reverse. The GE chart below is an example of a stock that remained 'stuck' in the upper thirds of the price range for an extended amount of time: And the CVS chart below is an example where the price is 'stuck' in the lower thirds of the price range: While the price is in the upper or lower thirds, it is very important that the trader should use other indicators to identify when a significant trend reversal occurs. Once a trend reversal event happens, the trader either enters a trade AND/OR exits a trade if already in one. When the price exceeds the bounds of the probability box, there are three possible outcomes – a strong continuation trend, the price consolidates around the probability box edge, or a trend reversal. Your favorite indicators will help determine which event is happening. The CVS chart above is a good example of the probability box being exceeded with the last bar. The price exceeding the price range is temporary event as the price range will expand to encompass the revised price range on the next trading day. █ Indicator Features Each supported timeframe – Monthly, Weekly, and Daily – allows the selection of an appropriate lookback period for your trading style. The defaults are a good starting point for swing trading and long-term investing. You many need to experiment to find the optimal lookback period for your trading style. Even if you only day trade, the Probability Box Rule of Thirds with the appropriate lookback periods can help you visualize the bigger picture of where the instrument is heading. When viewing the charts, you can find the currently selected lookback period above the upper edge of the price range. The indicator will display a dotted yellow line at 50% of the price range and show the line's value when requested. The visibility of the actual thirds and border price values are controlled by the " Show Probability Box Values " checkbox. You may need to expand the chart's right margin to see the values. The " Show Internal Labels " checkbox controls the display of the internal ⅓ Division labels and the percentage odds, along with the 50% label. This option by default is set to off. The " Show Error Messages " checkbox controls the display of error messages and by default is turned on. Turn off to prevent error messages from being shown on intraday timeframes. Save as indicator default to prevent having to turn off this setting each time added to chart. The color and transparency controls allow the user to modify the colors used for each third. The default settings are optimized for use with a DARK background. █ Implementation Notes IMPORTANT - the Probability Box Rule of Thirds is set up to only handle Monthly, Weekly and Daily charts. This is intentional as the indicator is designed to be used for safer multiple day and longer swing trades. When viewed on intraday charts, the indicator will be hidden. The Probability Box Rule of Thirds uses a rolling window of the equivalent number of bars for the lookback period rather than relying on the bar starting and ending dates. This allows the use of a standard number of days in the selected lookback window across various instruments and ensures fast, efficient calculations. The lookback periods are adjusted when non-standard timeframe multipliers are used – e.g., a 12M chart timeframe and a 3-year lookback period will result in a 3 bar lookback. Fractional bars in this calculation are rounded up and any incompatible lookback period and chart timeframe combination will generate a runtime error. In summary, the Probability Box Rule of Thirds automates and visually identifies overbought and oversold areas, which combined with the Rule of Thirds probability risk profiles, increases your odds of success through better trade selections and higher confidence in your trades. █ Disclaimer There is substantial risk in trading. Losses incurred in trading can be significant. Only trade with money you can afford to lose. We make no claims whatsoever regarding the impact of past or future performance on your trading results.
อินดิเคเตอร์ Pine Script®
โดย PowerIndicators
10
Trendilo (OPEN-SOURCE)The provided code is a custom indicator called "Trendilo" in TradingView. It helps traders identify trends in price data. The indicator calculates the percentage change of the chosen price source and applies smoothing to it. Then, it calculates the Arnaud Legoux Moving Average (ALMA) of the smoothed percentage change. The ALMA is compared to a root mean square (RMS) band, which represents the expected range of the ALMA values. Based on this comparison, the indicator determines whether the trend is up, down, or sideways. The indicator line is plotted in a color corresponding to the trend direction. The indicator also provides the option to fill the area between the indicator line and the RMS band. Additionally, users can choose to color the bars of the chart based on the trend direction. Overall, the "Trendilo" indicator helps traders visually identify trends and potential reversals in the price data.
อินดิเคเตอร์ Pine Script®
โดย dudeowns
37
Futures All List / Sell SignalAs of May 2023, there are more than 180 usdt perpetual coins on the binance futures exchange. These coins are included in the indicator in lists of 40. They are sorted instantly in the table from largest to smallest. The sorting style can be changed in the indicator settings. This indicator collects RSI and TSI values at desired values. The result has a maximum value of 600. A value of 600 signals that the price will decrease or remain stable for a certain period of time. Generally, a short can be expected from the closest point to 600. If 3 separate lists are selected by using 3 of these indicators, 120 coins can be analyzed at the same time. Available in all time zones. Examine it in a 3-minute timeframe. The line inside the indicator draws the instantaneous values of the relevant coin.
อินดิเคเตอร์ Pine Script®
โดย gokhanpirnal
3
RS Momentum singleThe RS Momentum single Symbol indicator is a custom indicator that compares the performance of a specific symbol to a base symbol and calculates the relative strength (RS) and relative momentum (RM) between them. The indicator is designed to help traders identify the current market phase of the symbol and make informed trading decisions based on the relative performance. Description: The indicator calculates the RS and RM values using the following steps: 1. It retrieves the closing prices of the symbol and the base symbol. 2. It calculates the Symbol-to-Base Ratio (SBR) by dividing the closing price of the symbol by the closing price of the base symbol. 3. It calculates two Simple Moving Averages (SMAs) of the SBR with different lengths (RS1 and RS2) and computes the RS value as a percentage difference between these SMAs. 4. It calculates two SMAs of the RS value with different lengths (RM1 and RM2) and computes the RM value as a percentage difference between these SMAs. 5. The indicator plots the RS and RM values on the chart and assigns a market phase label based on their values. Usage: The indicator can be used to identify the current market phase of the symbol, which can be one of the following: 1. Leading: The symbol is outperforming the base symbol, and the momentum is positive. This phase indicates a strong bullish trend, and traders might consider entering long positions. 2. Weakening: The symbol is outperforming the base symbol, but the momentum is negative. This phase suggests that the bullish trend is losing strength, and traders might consider taking profits or tightening their stop losses. 3. Lagging: The symbol is underperforming the base symbol, and the momentum is negative. This phase indicates a strong bearish trend, and traders might consider entering short positions. 4. Improving: The symbol is underperforming the base symbol, but the momentum is positive. This phase suggests that the bearish trend is losing strength, and traders might consider closing short positions or looking for potential long entries. Optimal Settings: The optimal settings for the indicator depend on the specific market and trading style. However, the default settings (RS1 Length = 10, RS2 Length = 30, RM1 Length = 1, RM2 Length = 9) can be a good starting point. Traders can experiment with different settings find the ones that work best for their trading strategy and market conditions. It's important to note that this indicator should be used in conjunction with other technical analysis tools and market context to make well-informed trading decisions. No single indicator can guarantee success in trading, and it's crucial to use a combination of tools and techniques to manage risk and maximize potential returns.
อินดิเคเตอร์ Pine Script®
โดย Ahmed_AminEG
2
Point and Figure Vertical Price TargetsThis is the first ever Point and Figure vertical price target script. Just hover over any column and the price target will be shown on the upper left hand side where the script name is. It is for both upside and downside vertical targets. It is based on a 3 box reversal, but that can be changed within the code, and the box size can be changed within the code or within the settings.
อินดิเคเตอร์ Pine Script®
โดย DocMarkets1
7
BBO-ALPHA-PHANTOMHello friends, this is the second time I am publishing this script, hopefully the description will be sufficient and you can use it reliably. Script Description: The script consists of several indicators and generates buy and sell signals based on their calculations. Here's a breakdown of the functions and indicators used in the script: Moving Average Convergence Divergence (MACD): Fast Length: The number of periods used for calculating the fast moving average. Slow Length: The number of periods used for calculating the slow moving average. Source: The price source used for calculations (default is the closing price). Signal Smoothing: The number of periods used for smoothing the signal line. Oscillator MA Type: The type of moving average used for the oscillator line (default is Exponential Moving Average). Signal Line MA Type: The type of moving average used for the signal line (default is Exponential Moving Average). Benefit: MACD is a trend-following momentum indicator that helps identify potential trend reversals, bullish or bearish market conditions, and generate buy and sell signals based on the crossovers of the oscillator and signal lines. Relative Strength Index (RSI): RSI Length: The number of periods used for calculating RSI. RSI Source: The price source used for RSI calculations (default is (high + low + close) / 3). MA Type: The type of moving average used for smoothing RSI values (default is Simple Moving Average). MA Length: The number of periods used for smoothing RSI values. Benefit: RSI is a momentum oscillator that measures the speed and change of price movements. It helps identify overbought and oversold conditions, potential trend reversals, and generate buy and sell signals based on the crossovers of RSI and its moving average. Money Flow Index (MFI): MFI Length: The number of periods used for calculating MFI. Source: The price source used for MFI calculations (default is (high + low + close) / 3). Benefit: MFI is a momentum indicator that uses both price and volume data to measure buying and selling pressure. It helps identify overbought and oversold conditions and potential trend reversals. Directional Movement Index (DMI): Signal Length: The number of periods used for smoothing the ADX line. Length: The number of periods used for calculating DMI. Benefit: DMI consists of three lines: ADX, +DI (Plus Directional Indicator), and -DI (Minus Directional Indicator). ADX measures the strength of a trend, while +DI and -DI indicate the direction of the trend. DMI helps identify trend strength, trend direction, and potential trend reversals. Stochastic Oscillator: SmoothK: The number of periods used for smoothing %K line. SmoothD: The number of periods used for smoothing %D line. Length RSI: The number of periods used for calculating RSI within Stochastic. Length Stoch: The number of periods used for calculating Stochastic. Benefit: Stochastic Oscillator is a momentum indicator that compares the closing price of an asset to its price range over a specific period. It helps identify overbought and oversold conditions and potential trend reversals. Moving Averages (MA): MA50: Simple Moving Average with a length of 50 periods. MA200: Simple Moving Average with a length of 200 periods. Benefit: Moving averages are commonly used to Advantages of the script compared to common indicators: Comprehensive analysis: The script combines several indicators such as MACD, RSI, MFI, DMI, Stochastic Oscillator and Moving Averages. It thus provides a broader and more comprehensive view of the market and its development. Synergy of indicators: Using multiple indicators increases the reliability and confirmation of signals. Combining different indicators can provide potentially stronger and more accurate signals of a trend change. Identifying Oversold and Overbought Levels: RSI, MFI and Stochastic Oscillator are used to identify oversold and overbought levels in the market. This can help uncover opportunities to buy or sell in line with these levels. Identifying trends and their strength: DMI and Moving Averages help identify trends in the market and provide information about their strength. This can help traders in deciding the appropriate time to enter and exit the market. Early signal generation: The script generates signals based on a combination of various indicators, which can help traders identify potential trading opportunities at an early stage. The main thing for me is that it helps me from overtrading, I only trade when I get an alert or see it on the chart. I recommend I find it best to trade in the 1h and 2h time frame. The shorter ones like 15min and 30min are perfect for me to get out of the position. It is important to note that no indicator guarantees 100% accuracy in generating signals and trading on financial
อินดิเคเตอร์ Pine Script®
โดย Bitcoinblockchainonline
Ratio To Average - The Quant ScienceRatio To Average - The Quant Science is a quantitative indicator that calculates the percentage ratio of the market price in relation to a reference average. The indicator allows the calculation of the ratio using four different types of averages: SMA, EMA, WMA, and HMA. The ratio is represented by a series of histograms that highlight periods when the ratio is positive (in green) and periods when the ratio is negative (in red). What is the Ratio to Average? The Ratio to Average is a measure that tracks the price movements with one of its averages, calculating how much the price is above or below its own average, in percentage terms. USER INTERFACE Lenght: it adjusts the number of bars to include in the calculation of the average. Moving Average: it allows you to choose the type of average to use. Color Up/Color Down : it allows you to choose the color of the indicator for positive and negative ratios.
อินดิเคเตอร์ Pine Script®
โดย thequantscience
1
Gann Angles EnterpriseThe Gann Angles indicator is a tool based on the methods developed by William Delbert Gann. It is designed to analyze and forecast price movements in financial markets. The indicator automatically calculates the angle scale using Gann, Herzhik, Heliker, and Borovski methods. Additionally, users have the option to manually input their own angle scale. The Gann methods and those of his followers are based on representing price movements as geometric shapes such as triangles, squares, and circles. Gann believed that price movements adhere to certain patterns and that future changes can be predicted based on these geometric forms. The Gann Angle indicator allows users to identify the angles of trend and their strength. It plots template lines with different angles of inclination on the price chart, representing support and resistance levels. These levels can be used to determine entry and exit points in the market, as well as to set stop-loss and profit levels. When automatically calculating the angle scale, the indicator takes into account various factors such as the current trend, market volatility, and the period of analyzed data. It applies relevant formulas and algorithms to determine optimal angles of inclination and create a fan-like pattern of angles. However, the indicator also provides the option for users to manually input their own angle scale. This allows analysts or traders to customize the indicator according to their own preferences and strategies. Overall, the Gann Angle indicator is a powerful tool for technical analysis in financial markets. It helps identify key support and resistance levels and provides information about the trend and its strength. Combining the automatic calculation of the angle scale with the option to input a manual scale gives users flexibility and adaptability in using the indicator. They can consider their own preferences, experience, and unique market conditions when determining angles of inclination and support/resistance levels. It is important to note that the effectiveness of the Gann Angle indicator, whether using an automatic or manual scale, depends on proper analysis and interpretation of the results. Users should have knowledge and understanding of Gann's methods to make informed decisions based on the data provided by the indicator. In conclusion, the Gann Angle indicator with automatic and manual angle scale calculation provides users with a powerful tool for analyzing and forecasting price movements in financial markets. It combines the fundamental principles of William Delbert Gann's methods with flexibility and customization to meet the needs of various traders and analysts. The different methods of calculating the scale give traders the flexibility to choose the follower's school they prefer. The features of the indicator include: Mandatory knowledge of Gann's methods. Use as a template for drawing angles and fan patterns. Selection of scale calculation options: Heliker Herzhik Gann Borovski Manual input of the scale Working principle: The indicator is used as a template. After installing the indicator and configuring it, the trader needs to draw a trend line (or a pre-drawn fan) along the desired angle(s). Without changing the inclination, the trader simply moves this line to the desired extreme for further analysis.
อินดิเคเตอร์ Pine Script®
โดย ganntradings
31
ReversalThe primary objective of this indicator is to discern candles that exhibit characteristics suggestive of potential market reversals through the application of candlestick analysis. Extensive observation across various assets and timeframes has revealed the existence of a recurrent reversal pattern. This pattern typically manifests as a sequence of one to three candles that abruptly diverge from the prevailing price action or trend, offering a distinctive signal indicating a potential reversal. By leveraging the insights gained from this observation, the indicator aims to assist traders in identifying these noteworthy candle patterns that hold the potential to indicate significant market shifts. The indicator operates as follows: initially, it identifies the lowest close (in the case of a bullish reversal) or the highest close (in the case of a bearish reversal) within a specified number of previous candles, as determined by user input (referred to as "Candle Lookback"). Next, the indicator examines whether the closing price surpasses the high of the previously identified lowest (bullish reversal) or highest (bearish reversal) closed candle within a designated number of candles, as specified by the user (referred to as "Confirm Within").
อินดิเคเตอร์ Pine Script®
โดย HasanRifat
42
Session Bar Color (US Time)This script is designed to change the color of bars on a trading chart based on different trading sessions in Eastern Time (ET). It is different from currently published scripts in that it specifically focuses on US time sessions and provides a customizable approach to defining and coloring each session. To use this script, you can apply it to a chart by selecting it from the list of available indicators or overlays. The script is meant for traders who are interested in visualizing different trading sessions on their charts. By coloring the bars based on session boundaries, it can help traders quickly identify session changes and potentially adjust their trading strategies accordingly. Mostly it's used to draw the high and low zones of each session. The markets this script is suitable for are those that operate within the US time zones, as it specifically focuses on Eastern Time (ET) sessions. It can be used for various types of markets, including stocks, futures, and forex. The conditions for each session are defined using the input. session function, which allows you to specify the start and end times for each session. The script includes four sessions: Asian, London, USA, and New York. By modifying the defval parameter for each session input, you can customize the session times to fit your specific trading preferences or time zone. The script uses the time function to check if the current bar falls within a particular session. If the condition is met, it sets the color of the bar using the bar color function. Each session is assigned a different color: black for the Asian session, teal for the London session, a custom RGB color (dark red) for the USA session, and red for the New York session. It's important to note that this script assumes the time zone of the trading platform is set to "Etc/GMT+4" to align with Eastern Time (ET). If your platform uses a different time zone, you may need to adjust the time function calls to match your desired time zone.
อินดิเคเตอร์ Pine Script®
โดย Almureqeeb
1
terrible financial advisorThe script you're looking at is a humorous "financial advisor" that places funny and non-traditional investment advice labels on a trading chart. The advice doesn't really have any meaningful connection to real financial indicators or market trends, and it's meant for entertainment purposes only. Here's how it works: Every 23 bars on the chart (a bar could represent a day, an hour, or another period, depending on the chart settings), the script places a new label. The content of each label is determined by the remainder when the current bar number is divided by 10. Keep in mind that this script is just for fun, and you shouldn't base any real investment decisions on its output! it works as intended.
อินดิเคเตอร์ Pine Script®
โดย avolgenin
1
Precision Trader Indicator, v1.01Overview: The PTI is a custom indicator designed to provide buy and sell signals based on price movements and volatility. It uses the Average True Range (ATR) to calculate stop levels and identifies potential trend changes. Parameters: The indicator has several customizable parameters that you can adjust according to your preferences. These parameters include: - ATR Period (length): Determines the lookback period for calculating the ATR. - ATR Multiplier (mult): Specifies the multiplier applied to the ATR to determine the stop levels. - Show Buy/Sell Labels (showLabels): Allows you to choose whether to display buy/sell labels on the chart. - Use Close Price for Extremums (useClose): Determines whether the indicator considers the close price for calculating extremums. - Highlight State (highlightState): Enables highlighting of the long and short state on the chart. Calculation: 1. ATR Calculation: The indicator calculates the Average True Range (ATR) using the specified length parameter and multiplies it by the ATR Multiplier (mult) to obtain the ATR value. 2. Long Stop Calculation: The long stop level is calculated based on the highest price over the specified length period (using either the high or close price, depending on the useClose parameter) minus the ATR value. It ensures that the long stop is below the recent highest point. 3. Short Stop Calculation: The short stop level is calculated based on the lowest price over the specified length period (using either the low or close price) plus the ATR value. It ensures that the short stop is above the recent lowest point. 4. Direction Calculation: The indicator determines the current direction based on the close price compared to the previous long stop and short stop levels. If the close price is above the previous long stop, the direction is set to 1 (indicating a bullish trend). If the close price is below the previous short stop, the direction is set to -1 (indicating a bearish trend). Otherwise, the direction remains unchanged. Plotting: The indicator plots several visual elements on the chart: - Long Stop: Draws a line representing the long stop level. - Long Stop Start: Plots a small circle marker indicating the start of a long stop (buy signal). - Buy Label: Displays a "Buy" label near the long stop start marker. - Short Stop: Draws a line representing the short stop level. - Short Stop Start: Plots a small circle marker indicating the start of a short stop (sell signal). - Sell Label: Displays a "Sell" label near the short stop start marker. - Long State Filling: Fills the area between the mid price and the long stop line with a color (optional). - Short State Filling: Fills the area between the mid price and the short stop line with a color (optional). Alerts: The indicator includes three types of alerts: - PTI Direction Change: Triggers an alert when the PTI direction changes (from bullish to bearish or vice versa). - PTI Buy: Triggers an alert when a buy signal occurs (long stop start). - PTI Sell: Triggers an alert when a sell signal occurs (short stop start). By using the PTI indicator, traders can monitor potential trend changes and receive alerts when buy or sell signals are generated based on price and volatility dynamics. Please note that the interpretation and effectiveness of this indicator should be evaluated through rigorous backtesting and analysis before making any trading decisions.
อินดิเคเตอร์ Pine Script®
โดย RCMG
Complete Discrete Fourier Transform ToolkitThis is an expansion from my Discrete Fourier Transform Overlay indicator which offers various features that may be useful for traders wishing to apply frequency analysis or integral transform to their trading. For those unfamiliar with the concept, the discrete Fourier transform decomposes wave or wave-like data into functions depending on frequency. This can be helpful in demonstrating or interpreting trends and periodic frequencies in time-series price data, or oscillating indicators. This toolkit has the following features: Fourier bands (deviation cloud): The deviation cloud expresses the uncertainty in the DFT algorithm, as well as the relative change in frequency of the curve. Fourier supertrend: The supertrend is applied as a product of the DFT algorithm, instead of onto the price data itself. This filters the supertrend from infrequent periodicities. For trading, this means that the supertrend will not be affected by false breakouts or breakdowns. See the image below for an example: Future updates may include: Projection of the probabilistic uncertainty principle. In a nutshell, the concept can be used to project uncertainties forwards through price data to forecast the path of least resistance, or, the most probable frequency. Machine learning capabilities. Justin Doherty has done the Pine Script community a great service in introducing kNN algorithms with Lorentzian distance calculations; however, this is only the start of relativistic mechanics that can be applied to time series data. The DFT algorithm essentially filters data into its periodicities; this data can be inserted into a relativistic kNN algorithm - Lorenz or otherwise - to possibly improve accuracy.
อินดิเคเตอร์ Pine Script®
โดย wbburgin
7
Planetary Tunings Moving AveragesThe Pine Script "Planetary Tunings Moving Averages" is a unique tool that plots moving averages (MAs) on a chart, representing the wavelengths of different planets as derived from the book Quadrivium. These wavelengths, also referred to as 'planetary tunings', are related to the orbital resonance of each planet. Each planetary tuning value is first transformed into a whole number by multiplying it by 1000 and removing the decimal. This whole number is then used as the length parameter for a Simple Moving Average (SMA) function. This function calculates the average of the closing prices over the defined number of periods, thereby creating a moving average line on the chart. The moving average lines are color-coded according to the planet they represent, allowing for quick and easy interpretation. For example, Mercury's moving average line is blue, Venus's line is orange, and so forth. These colors can be adjusted directly in the Pine Script code if desired. Additionally, the script computes the mean of all these moving averages and plots it on the chart. This line provides an overall trend line, summarizing the collective behavior of all the planetary tuning moving averages. The drawings in the chart are fib channels and fib circles that I use to capture liquidity in time. Please note that this script is written for Pine Script Version 4. It's crucial to ensure your TradingView platform is compatible with this version. For any issues or further clarification, consider referring to TradingView's Pine Script documentation or its community forums.
อินดิเคเตอร์ Pine Script®
โดย DukeDoobie1111
6
EMAflowPRO -Ranges-DISCLAIMER: Always, please keep in mind that market conditions change, past results cannot guarantee the same results in the future. EMAflowPRO - Ranges- EMAflowPRO ranges indicator will detect key movements in the market that fit certain conditions and based on that create key tradable zones by providing dynamic and static range levels. Before reading further please take a look at the indicator values names on the right in the main chart above - these names are linked to the content below when we talk about range structure. The examples included in charts are linked to the area we're discussing (if something was said - most likely closest chart demonstrates it - Also arrows present entries; can be limit or can be market buy/sell in to the wicks.) Let's find out what indicator does... Static range logic: Indicator uses combination of market timing indicators (counting relationship between candles) , fisher transform, stoch rsi, bollinger bands to detect important market price action that show strenght - based on that it will project a static range where key goal is to predict where market will be extremely oversold, extremely overbought or where market could change bias etc. The setups it provides are very similar to those that come out of harmonic patterns - but it was developed with unique approach without knowing what harmonic patterns are.. so it's not completly the same. Range is represented by 3 tradable areas (actual trade ideas on charts - arrow points towards a level - on the right there is a scale with a number- limit order can be placed there ) Top of the range - It serves as a shorting area or if top is converted to support can also signal a potential breakout or start of new trend. Example of a short the top of the range: 29732 - is area where wicks can be sold in to , or limit sell is placed - with higher leverage sl should be tight, with lower sell orders can be spread out up to the middle with sl just above 30500, targets can be choosen based on the provious range top as % moves point. Example of longing the levels on the recent rise - price staying above middle of the top of the range keeps bias on the upside and potentially signals a break out or start of new trend Uppper, Middle, Lower part of the range: Sideway area - middle of the range decides direction , above favors the upper levels , below favors the lower levels. Very nice example where white line is middle of the range and shows that even in strong trend - range projection is able to accurately predict key pullback areas that provide substantial gain. See image below - again settign limit orders where middle of the range is allows you to get a comfortable entry with very big risk reward ratio. Bottom of the range - market is extremely oversold Spx example of our recent range from last year's summer - again chart includes both EMAflow indicator and EMAflow ranges as all indicators are extremely complementary and present two sides of the medal sideway and trend view. Chart only contains ranges but shows the same pair and time: If price goes below middle of the bottom of the range it could signal a break down or start of new bearish trend. Dynamic range logic Since sometimes static range gets broken out or is not respected and the price action is not yet sufficient to generated a new one we included a dynamic supply demand part where dynamic range is generated working in a similar way but does add clarity when static range fails. example of this can be seen when ftx caused a btc dump we broke through the bottom of the range but dynamic range later showed us new bottom we could trade. Confluence between both can also provide even more sure levels to place limit orders or to market buy or sell when wicks in to that area occurs. Minuses: Since ranges tend to work best when market is sideway - a second part is recommended with EMAflowPRO where focus on moving averages helps you navigate stronger trends. Not all tfs are well synced with ranges on various assets so you will need to flip through few ones to find the best timeframes that historically worked the best - if you come across an asset that doens't look good you should just change timeframe to higher until you see something that fits or change asset until you get something that looks clear. Settings: EMAflow - Ranges - allows you to preset minimum potential of a trade setup you want to look for - default is 6% that ensures you can get a good setup on lower and higher tfs.
อินดิเคเตอร์ Pine Script®
โดย EMAflow
1