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Trendlines HTF [theEccentricTrader]█   OVERVIEW This indicator automatically draws dynamic higher timeframe support and resistance lines from preceding peak to current peak and from preceding trough to current trough. In the example above I have applied the indicator three times; one for the 1D trendlines (red), one for the 4H trendlines (orange) and one for the 2H trendlines (green). █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Support and Resistance • Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further. • Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further. Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level, with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level, with the expectation that the price will drop back down. It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction. Trendlines Trendlines are straight lines that are drawn between two or more points on a price chart. These lines are used as dynamic support and resistance levels for making strategic decisions and predictions about future price movements. For example traders will look for price movements along, and reactions to, trendlines in the form of rejections or breakouts/downs. █   FEATURES Inputs • HTF Resolution • Resistance Line Color • Support Line Color █   LIMITATIONS All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Similarly, if the current timeframe is not a factor of the higher timeframe there will be occasions when the left hand offset is out by a couple of bars. This is because the calculations are ultimately based on how many lower timeframe bars there are inside a sequence of higher timeframe bars. The lines will also behave unexpectedly if the higher timeframe resolution is lower than the current timeframe, but that should be expected. If the lines do not draw or you see a study error saying that the script references too many candles in history, this is most likely because the higher timeframe anchor point is not present on the current timeframe. This problem usually occurs when referencing a higher timeframe, such as the 1-month, from a much lower timeframe, such as the 1-minute. How far you can lookback for higher timeframe anchor points on the current timeframe will also be limited by your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000.
Wskaźnik Pine Script®
od theEccentricTrader
12
Trendlines [theEccentricTrader]█   OVERVIEW This indicator automatically draws dynamic support and resistance lines from preceding peak to current peak and from preceding trough to current trough. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Support and Resistance • Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further. • Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further. Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level, with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level, with the expectation that the price will drop back down. It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction. Trendlines Trendlines are straight lines that are drawn between two or more points on a price chart. These lines are used as dynamic support and resistance levels for making strategic decisions and predictions about future price movements. For example traders will look for price movements along, and reactions to, trendlines in the form of rejections or breakouts/downs. █   FEATURES Inputs • Resistance Line Color • Support Line Color █   LIMITATIONS All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
Wskaźnik Pine Script®
od theEccentricTrader
The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR)The Flash-Strategy (Momentum-RSI, EMA-crossover, ATR) Are you tired of manually analyzing charts and trying to find profitable trading opportunities? Look no further! Our algorithmic trading strategy, "Flash," is here to simplify your trading process and maximize your profits. Flash is an advanced trading algorithm that combines three powerful indicators to generate highly selective and accurate trading signals. The Momentum-RSI, Super-Trend Analysis and EMA-Strategy indicators are used to identify the strength and direction of the underlying trend. The Momentum-RSI signals the strength of the trend and only generates trading signals in confirmed upward or downward trends. The Super-Trend Analysis confirms the trend direction and generates signals when the price breaks through the super-trend line. The EMA-Strategy is used as a qualifier for the generation of trading signals, where buy signals are generated when the EMA crosses relevant trend lines. Flash is highly selective, as it only generates trading signals when all three indicators align. This ensures that only the highest probability trades are taken, resulting in maximum profits. Our trading strategy also comes with two profit management options. Option 1 uses the so-called supertrend-indicator which uses the dynamic ATR as a key input, while option 2 applies pre-defined, fixed SL and TP levels. The settings for each indicator can be customized, allowing you to adjust the length, limit value, factor, and source value to suit your preferences. You can also set the time period in which you want to run the backtest and how many dollar trades you want to open in each position for fully automated trading. Choose your preferred trade direction and stop-loss/take-profit settings, and let Flash do the rest. Say goodbye to manual chart analysis and hello to consistent profits with Flash. Try it now! General Comments This Flash Strategy has been developed in cooperation between Baby_whale_to_moon and JS-TechTrading. Cudos to Baby_whale_to_moon for doing a great job in transforming sophisticated trading ideas into pine scripts. Detailed Description The “Flash” script considers the following indicators for the generation of trading signals: 1. Momentum-RSI 2. ‘Super-Trend’-Analysis 3. EMA-Strategy 1. Momentum-RSI • This indicator signals the strength of the underlying upward- or downward-trend. • The signal range of this indicator is from 0 to 100. Values > 60 indicate a confirmed upward- or downward-trend. • The strategy will only generate trading signals in case the stock (or any other financial security) is in a confirmed upward- (long entry signals) or downward-trend (short entry signals). • This indicator provides information with regards to the strength of the underlying trend and it does not give any insight with regard to the direction of the trend. Therefore, this strategy also considers other indicators which provide technical confirmation with regards to the direction of the underlying trend. Graph 1 shows this concept: • The Momentum-RSI indicator gives lower readings during consolidation phases and no trading signals are generated during these periods. Example (graph 2): 2. Super-Trend Analysis • The red line in the graph below represents the so-called super-trend-line. Trading signals are only generated in case the price action breaks through this super-trend-line indicating a new confirmed upward-trend (or downward-trend, respectively). • If that happens, the super trend-line changes its color from red to green, giving confirmation that the trend changed from bearish to bullish and long-entries can be considered. • The vice-versa approach can be considered for short entries. Graph 3 explains this concept: 3. Exponential Moving Average / EMA-Strategy The functionality of this EMA-element of the strategy has been programmed as follows: • The exponential moving average and two other trend lines are being used as qualifiers for the generation of trading-signals. • Buy-signals for long-entries are only considered in case the EMA (yellow line in the graph below) crosses the red line. • Sell-signals for short-entries are only considered in case the EMA (yellow line in the graph below) crosses the green line. An example is shown in graph 4 below: We use this indicator to determine the new trend direction that may occur by using the data of the price's past movement. 4. Bringing it all together This section describes in detail, how this strategy combines the Momentum-RSI, the super-trend analysis and the EMA-strategy. The strategy only generates trading-signals in case all of the following conditions and qualifiers are being met: 1. Momentum-RSI is higher than the set value of this strategy. The standard and recommended value is 60 (graph 5): 2. The super-trend analysis needs to indicate a confirmed upward-trend (for long-entry signals) or a confirmed downward-trend (for short-entry signals), respectively. 3. The EMA-strategy needs to indicate that the stock or financial security is in a confirmed upward-trend (long-entries) or downward-trend (short-entries), respectively. The strategy will only generate trading signals if all three qualifiers are being met. This makes this strategy highly selective and is the key secret for its success. Example for Long-Entry (graph 6): When these conditions are met, our Long position is opened. Example for Short-Entry (graph 7): Trade Management Options (graph 8) Option 1 In this dynamic version, the so-called supertrend-indicator is being used for the trade exit management. This supertrend-indicator is a sophisticated and optimized methodology which uses the dynamic ATR as one of its key input parameters. The following settings of the supertrend-indicator can be changed and optimized (graph 9): The dynamic SL/TP-lines of the supertrend-indicator are shown in the charts. The ATR-length and the supertrend-factor result in a multiplier value which can be used to fine-tune and optimize this strategy based on the financial security, timeframe and overall market environment. Option 2 (graph 10): Option 2 applies pre-defined, fixed SL and TP levels which will appear as straight horizontal lines in the chart. Settings options (graph 11): The following settings can be changed for the three elements of this strategy: 1. (Length Mom-Rsi): Length of our Mom-RSI indicator. 2. Mom-RSI Limit Val: the higher this number, the more momentum of the underlying trend is required before the strategy will start creating trading signals. 3. The length and factor values of the super trend indicator can be adjusted:ATR Length SuperTrend and Factor Super Trend 4. You can set the source value used by the ema trend indicator to determine the ema line: Source Ema Ind 5. You can set the EMA length and the percentage value to follow the price: Length Ema Ind and Percent Ema Ind 6. The backtesting period can be adjusted: Start and End time of BackTest 7. Dollar cost per position: this is relevant for 100% fully automated trading. 8. Trade direction can be adjusted: LONG, SHORT or BOTH 9. As we explained above, we can determine our stop-loss and take-profit levels dynamically or statically. (Version 1 or Version 2 ) Display options on the charts graph 12): 1. Show horizontal lines for the Stop-Loss and Take-profit levels on the charts. 2. Display relevant Trend Lines, including color setting options for the supertrend functionality. In the example below, green lines indicate a confirmed uptrend, red lines indicate a confirmed downtrend. Other comments • This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts. • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Strategia Pine Script®
od JS_TechTrading
4
Advanced VWAP_Pullback Strategy_Trend-Template QualifierGeneral Description and Unique Features of this Script Introducing the Advanced VWAP Momentum-Pullback Strategy (long-only) that offers several unique features: 1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. Mark Minervini, a 2x US Investment Champion, developed the Trend-Template, which covers eight different and independent characteristics that can be adjusted and optimized in this trend-following strategy to ensure the best results. The strategy will only trigger buy-signals in case the optimized qualifiers are being met. 2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well. 3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum. Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered. The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend. In stable upward trends, we increase our market exposure and risk. In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns. This simple rule gives us a significant advantage over most undisciplined traders and amateurs!   'The Trend is your Friend'. This is a very old but true quote. What's behind it??? • 98% of stocks made their biggest gains in a Phase 2 upward trend. • If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably. • By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased. • In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points. The goal is not to buy at the lowest price – the goal is to buy at the right price! Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4   Stage 1 – Neglect Phase – Consolidation Stage 2 – Progressive Phase – Accumulation Stage 3 – Topping Phase – Distribution Stage 4 – Downtrend – Capitulation This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders. By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends. But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend? Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible. The Trend Template • 200d MA increasing over a period of at least 1 month, better 4-5 months or longer • 150d MA above 200d MA • 50d MA above 150d MA and 200d MA • Course above 50d MA, 150d MA and 200d MA • Ideally, the 50d MA is increasing over at least 1 month • Price at least 25% above the 52w low • Price within 25% of 52w high • High relative strength according to IBD. NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled. This strategy can be applied to all timeframes from 5 min to daily. The VWAP Momentum-Pullback Strategy For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy. A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI). When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy. Stop-loss limits and profit targets can be set variably. You also have the option to make use of the trailing stop exit strategy. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods. The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely. For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon. The MA / VWAP Crossover Trading Strategy This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market. The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position. Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades. This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed. Backtesting Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used. Settings for backtesting are: - Period from Jan 2020 until March 2023 - Starting capital 100k USD - Position size = 25% of equity - 0.01% commission = USD 2.50.- per Trade - Slippage = 2 ticks Other comments - This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. - The combination of the Trend-Template and the RSI qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. - Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security.
Strategia Pine Script®
od JS_TechTrading
3
Angled Volume Profile [Trendoscope]Volume profile is useful tool to understand the demand and supply zones on horizontal level. But, what if you want to measure the volume levels over trend line? In trending markets, the feature to measure volume over angled levels can be very useful for traders who use these measures. Here is an attempt to provide such tool. 🎲 How to use 🎯 Interactive input for selecting starting point and angle. Upon loading the script, you will be prompted to select Start time and price - this is a point which you can select by moving the maroon highlighted label. End price - though this is shown as maroon bullet, this is price only input. Hence, when you click on the bullet, a horizontal line will appear. Users can move the line to use different End price. Start and End price are used for identifying the angle at which volume profile need to be calculated. Whereas start time is used as starting time of the volume profile. Last bar of the chart is considered as ending bar. 🎯 Other settings. From settings, users can select the colour of volume profile and style. Step multiplier defines the distance at which the profile lines needs to be drawn. Higher multiplier leads to less dense profile lines whereas lower multiplier leads to higher density of profile lines. 🎲 Limitations 🎯 Max 500 lines Pinescript only allows max 500 lines on an indicator. Due to this, if we set very low multiplier - this can lead to more than 500 profile lines. Due to this some lines can get removed. On the contrary, if multiplier is too high, then you will see very few lines which may not be meaningful. Hence, it is important to select optimal multiplier based on your timeframe 🎯 No updates on new bar Since the profile can spawn many bars, it is not possible to recalculate the whole volume profile when price creates new bars. Hence, there will not be visual update when new bars are created. But, to update the chart, users only need to make another movement of Start or ending point on interactive input.
Wskaźnik Pine Script®
od Trendoscope
24
JS-TechTrading: VWAP Momentum_Pullback StrategyGeneral Description and Unique Features of this Script Introducing the VWAP Momentum-Pullback Strategy (long-only) that offers several unique features: 1. Our script/strategy utilizes Mark Minervini's Trend-Template as a qualifier for identifying stocks and other financial securities in confirmed uptrends. NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available on TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled. 2. Our strategy is based on the supply/demand balance in the market, making it timeless and effective across all timeframes. Whether you are day trading using 1- or 5-min charts or swing-trading using daily charts, this strategy can be applied and works very well. 3. We have also integrated technical indicators such as the RSI and the MA / VWAP crossover into this strategy to identify low-risk pullback entries in the context of confirmed uptrends. By doing so, the risk profile of this strategy and drawdowns are being reduced to an absolute minimum. Minervini’s Trend-Template and the ‘Stage-Analysis’ of the Markets This strategy is a so-called 'long-only' strategy. This means that we only take long positions, short positions are not considered. The best market environment for such strategies are periods of stable upward trends in the so-called stage 2 - uptrend. In stable upward trends, we increase our market exposure and risk. In sideways markets and downward trends or bear markets, we reduce our exposure very quickly or go 100% to cash and wait for the markets to recover and improve. This allows us to avoid major losses and drawdowns. This simple rule gives us a significant advantage over most undisciplined traders and amateurs!   'The Trend is your Friend'. This is a very old but true quote. What's behind it??? • 98% of stocks made their biggest gains in a Phase 2 upward trend. • If a stock is in a stable uptrend, this is evidence that larger institutions are buying the stock sustainably. • By focusing on stocks that are in a stable uptrend, the chances of profit are significantly increased. • In a stable uptrend, investors know exactly what to expect from further price developments. This makes it possible to locate low-risk entry points. The goal is not to buy at the lowest price – the goal is to buy at the right price! Each stock goes through the same maturity cycle – it starts at stage 1 and ends at stage 4   Stage 1 – Neglect Phase – Consolidation Stage 2 – Progressive Phase – Accumulation Stage 3 – Topping Phase – Distribution Stage 4 – Downtrend – Capitulation This strategy focuses on identifying stocks in confirmed stage 2 uptrends. This in itself gives us an advantage over long-term investors and less professional traders. By focusing on stocks in a stage 2 uptrend, we avoid losses in downtrends (stage 4) or less profitable consolidation phases (stages 1 and 3). We are fully invested and put our money to work for us, and we are fully invested when stocks are in their stage 2 uptrends. But how can we use technical chart analysis to find stocks that are in a stable stage 2 uptrend? Mark Minervini has developed the so-called 'trend template' for this purpose. This is an essential part of our JS-TechTrading pullback strategy. For our watchlists, only those individual values that meet the tough requirements of Minervini's trend template are eligible. The Trend Template • 200d MA increasing over a period of at least 1 month, better 4-5 months or longer • 150d MA above 200d MA • 50d MA above 150d MA and 200d MA • Course above 50d MA, 150d MA and 200d MA • Ideally, the 50d MA is increasing over at least 1 month • Price at least 25% above the 52w low • Price within 25% of 52w high • High relative strength according to IBD. NOTE: In this basic version of the script, the Trend-Template has to be used as a separate indicator on TradingView (Public Trend-Template indicators are available in TradingView – community scripts). It is recommended to only execute buy signals in case the stock or financial security is in a stage 2 uptrend, which means that the criteria of the trend-template are fulfilled. This strategy can be applied to all timeframes from 5 min to daily. The VWAP Momentum-Pullback Strateg y For the JS-TechTrading VWAP Momentum-Pullback Strategy, only stocks and other financial instruments that meet the selected criteria of Mark Minervini's trend template are recommended for algorithmic trading with this startegy. A further prerequisite for generating a buy signals is that the individual value is in a short-term oversold state (RSI). When the selling pressure is over and the continuation of the uptrend can be confirmed by the MA / VWAP crossover after reaching a price low, a buy signal is issued by this strategy. Stop-loss limits and profit targets can be set variably. Relative Strength Index (RSI) The Relative Strength Index (RSI) is a technical indicator developed by Welles Wilder in 1978. The RSI is used to perform a market value analysis and identify the strength of a trend as well as overbought and oversold conditions. The indicator is calculated on a scale from 0 to 100 and shows how much an asset has risen or fallen relative to its own price in recent periods. The RSI is calculated as the ratio of average profits to average losses over a certain period of time. A high value of the RSI indicates an overbought situation, while a low value indicates an oversold situation. Typically, a value > 70 is considered an overbought threshold and a value < 30 is considered an oversold threshold. A value above 70 signals that a single value may be overvalued and a decrease in price is likely , while a value below 30 signals that a single value may be undervalued and an increase in price is likely. For example, let's say you're watching a stock XYZ. After a prolonged falling movement, the RSI value of this stock has fallen to 26. This means that the stock is oversold and that it is time for a potential recovery. Therefore, a trader might decide to buy this stock in the hope that it will rise again soon. The MA / VWAP Crossover Trading Strategy This strategy combines two popular technical indicators: the Moving Average (MA) and the Volume Weighted Average Price (VWAP). The MA VWAP crossover strategy is used to identify potential trend reversals and entry/exit points in the market. The VWAP is calculated by taking the average price of an asset for a given period, weighted by the volume traded at each price level. The MA, on the other hand, is calculated by taking the average price of an asset over a specified number of periods. When the MA crosses above the VWAP, it suggests that buying pressure is increasing, and it may be a good time to enter a long position. When the MA crosses below the VWAP, it suggests that selling pressure is increasing, and it may be a good time to exit a long position or enter a short position. Traders typically use the MA VWAP crossover strategy in conjunction with other technical indicators and fundamental analysis to make more informed trading decisions. As with any trading strategy, it is important to carefully consider the risks and potential rewards before making any trades. This strategy is applicable to all timeframes and the relevant parameters for the underlying indicators (RSI and MA/VWAP) can be adjusted and optimized as needed. Backtesting Backtesting gives outstanding results on all timeframes and drawdowns can be reduced to a minimum level. In this example, the hourly chart for MCFT has been used. Settings for backtesting are: - Period from April 2020 until April 2021 (1 yr) - Starting capital 100k USD - Position size = 25% of equity - 0.01% commission = USD 2.50.- per Trade - Slippage = 2 ticks Other comments • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The RSI qualifier is highly selective and filters out the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • As a result, traders need to apply this strategy for a full watchlist rather than just one financial security.
Strategia Pine Script®
od JS_TechTrading
3
Drip's 11am rule breakout/breakdown (OG)This indicator is based on Drippy2hard's 11:30 am (EST) rule. In simple terms the rule states that: If a trending stock makes a new high after 11:15-11:30am EST, there is a 75% chance of closing within 1% of High of day (HOD). Same applies for downtrend. Please note: Not all stocks will abide by this, this is backtested on stocks with avg daily volume > 2M and mostly mega cap stocks which have liquid option chains. The backtesting results show very promising results on $SPY/ $SPX so it is advised to trade $SPY/ $SPX using this indicator over any other stocks. Although the name suggests 11 AM rule, the backtesting shows higher win rate for 11:30 AM so please select that option in the settings. As always, no indicator is perfect and please follow your risk management and understand that indicators are tools to aid your trading and by no means they are supposed to work as intended in all scenarios How the script works 1. A HOD/LOD zone is identified based on regular session (9:30am-11:30am) EST. Users can select cut off time to 11AM in the settings. These will be indicated on chart after 11/11:30pm depending on what user selected 2. If the stock breaks above the HOD and the ADX is showing strong momentum to upside then the candlesticks will start showing neon color, if the trend based on moving averages and candle closing is also bullish then the indicator will show trend arrows under the candle indicating to stay in the trade. Same applies for break below LOD, only the colors will change to represent downtrend. 3. An optional cloud is also shown if the trend is developed. The cloud can be used as trail stop or re entry point as long as it is displayed on chart How to use the indicator in trading In general, there are three scenarios which are trade worthy 1. If the stocks breaks out above the HOD zone and up trend develops or the stocks breaks below the LOD zone and downtrend develops. See images below 2. You can also use the LOD/HOD zone as demand/ supply if the Price action is range bound like this example below Thanks for reading, please give thumbs up if you like using it! Please post comments on how to use it.
Wskaźnik Pine Script®
od sensir
29
2B Reversal Pattern (Expo)█ Overview The 2B reversal pattern , also called the "spring pattern", is a popular chart pattern professional traders use to identify potential trend reversals. It occurs when the price appears to be breaking down or up and then suddenly bounces back up/down, forming a "spring" or "false breakout" pattern. This pattern indicates that the trend is losing momentum and that a reversal is coming. In a bearish market , the "spring pattern" occurs when the price of an asset breaks below a support level, causing many traders to sell their positions and causing the price to drop even further. However, the selling pressure eases at some point, and the price begins to rebound, "springing" back above the support level. This rebound creates a long opportunity for traders who can enter the market at a lower price. In a bullish market , the "spring pattern" occurs when the price of an asset breaks above a resistance level, causing many traders to buy into the asset and drive the price up even further. However, the buying pressure eases at some point, and the price begins to decline, "springing" below the resistance level. This decline creates a selling opportunity for traders who can short the market at a higher price. █ What are the benefits of using the 2B Reversal Pattern? The benefits of using the 2B Reversal pattern as a trader include identifying potential buying or selling opportunities with reduced risk. By waiting for the price to "spring back" to the initial breakout level, traders can avoid entering the market too soon and minimize the risk of potential losses. █ How to use Traders can use the 2B reversal pattern to identify reversals. If the pattern occurs after an uptrend, traders may sell their long positions or enter a short position, anticipating a reversal to a downtrend. If the pattern occurs after a downtrend, traders may sell their short positions or enter a long position, anticipating a reversal to an uptrend. █ Consolidation Strategy First, traders should identify a period of price consolidation or a trading range where the price has been trading sideways for some time. The key feature of the "spring pattern" is a sudden, sharp move downward/upwards through the lower/upper boundary of this trading range, often accompanied by high volume. However, instead of continuing to move lower/higher, the price then quickly recovers and moves back into the trading range, often on low volume. This quick recovery is the "spring" part of the pattern and suggests that the market has rejected the lower/higher price and that buying/selling pressure is building. Traders may use the "spring pattern" as a signal to buy/sell the asset, suggesting strong demand/supply for the stock at the lower/higher price level. However, as with all trading strategies, it is important to use other indicators and to manage risk to minimize potential losses carefully. ----------------- Disclaimer The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs. My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Wskaźnik Pine Script®
od Zeiierman
61
PA-Adaptive T3 Loxxer [Loxx]PA-Adaptive T3 Loxxer is a Loxxer indicator that is Phase Accumulation Cycle adaptive and uses T3 moving average for smoothing instead of the typical SMA or EMA . this allows for smoother signals by reducing noise. What is Loxxer? The Loxxer indicator is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset. What is the Phase Accumulation Cycle? The phase accumulation method of computing the dominant cycle is perhaps the easiest to comprehend. In this technique, we measure the phase at each sample by taking the arctangent of the ratio of the quadrature component to the in-phase component. A delta phase is generated by taking the difference of the phase between successive samples. At each sample we can then look backwards, adding up the delta phases.When the sum of the delta phases reaches 360 degrees, we must have passed through one full cycle, on average.The process is repeated for each new sample. The phase accumulation method of cycle measurement always uses one full cycle’s worth of historical data.This is both an advantage and a disadvantage.The advantage is the lag in obtaining the answer scales directly with the cycle period.That is, the measurement of a short cycle period has less lag than the measurement of a longer cycle period. However, the number of samples used in making the measurement means the averaging period is variable with cycle period. longer averaging reduces the noise level compared to the signal.Therefore, shorter cycle periods necessarily have a higher out- put signal-to-noise ratio. Included Bar coloring Signals Alerts Loxx's Expanded Source Types Divergences
Wskaźnik Pine Script®
od loxx
3
Super 6x: RSI, MACD, Stoch, Loxxer, CCI, & Velocity [Loxx]Super 6x: RSI , MACD , Stoch , Loxxer, CCI , & Velocity is a combination of 6 indicators into one histogram. This includes the option to allow repainting. What is MACD? Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA . What is CCI? The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels. What is RSI? The relative strength index is a technical indicator used in the analysis of financial markets. It is intended to chart the current and historical strength or weakness of a stock or market based on the closing prices of a recent trading period. The indicator should not be confused with relative strength . What is Stochastic? The stochastic oscillator, also known as stochastic indicator, is a popular trading indicator​ that is useful for predicting trend reversals. It also focuses on price momentum and can be used to identify overbought and oversold levels in shares, indices, currencies and many other investment assets. What is Loxxer? The Loxxer indicator is a technical analysis tool that compares the most recent maximum and minimum prices to the previous period's equivalent price to measure the demand of the underlying asset. What is Velocity? In simple words, velocity is the speed at which something moves in a particular direction. For example as the speed of a car travelling north on a highway, or the speed a rocket travels after launching. How to use Long signal: All 4 indicators turn green Short signal: All 4 indicators turn red Included Bar coloring Alerts
Wskaźnik Pine Script®
od loxx
6
The On Balance Volume & Accumulation Distribution RibbonMedic trades using "Smart Money Concepts", and Medic's system revolves around the one taught by MentFX (i.e. Structure, Supply/ Demand Zone , and Confirmation). While this system per se doesn't require the use of a volume indicator, Medic has come to respect the OBV and Accumulation / Distribution . The OBV Ribbon is available in many a shape and form, but Medic wanted something more responsive, and the OBVAD is just that. This ribbon works across all time frames, and allows users to visualize what is happening behind the scenes of The Trigger indicator. The Ribbon applies 11 DEMA of different periods to the cumulative sum of SpaceTrader's OBV/AD formula: volume*(close-open)/( high-low )*hlc3. The Ribbon is able to identify the general trend, and changes into a blu ein an uptrend, and purple in a downtrend, and also potential reversals by means of divergences.
Wskaźnik Pine Script®
od CryptoMedicz
Investing Performance with vs without feesHello traders, I had a chat with a friend recently who's using a fund manager services to invest for him in some US-based ETFs tracking the US indices. I showed him using an online tool that those 2% annual fees he's paying to his fund manager are eating a lot of his profit overtime. As I had some time, I decided to code this simulator in Pinescript because .... why not :) @RicardoSantos already did that Compound Interest function () I added the n parameter being the number of times the interest is compounded per unit of time Compound interest is calculated using the following formula CI = P*(1 + R/n) (n*t) – P Here, P is the principal amount. R is the annual interest rate. t is the time the money is invested or borrowed for. n is the number of times that interest is compounded per unit t, for example if interest is compounded monthly and t is in years then the value of n would be 12. If interest is compounded quarterly and t is in years then the value of n would be 4. For now, the script only works on a yearly chart - I might update it later making it compatible with other chart timeframes - assuming there is some demand for it If there is, let me know in the comments down below All the best Dave
Wskaźnik Pine Script®
od Daveatt
2
Spoofing Detector with VPOC [CHE]"We're keeping an eye on the market makers, zooming in for a closer look." Spoofing and Volume Point of Control (VPOC) are terms used in the context of market manipulation and market analysis in financial markets. A spoofing detector is a tool developed to detect the spoofing of orders. Spoofing refers to a practice where a market participant places large orders to deceive other market participants and influence the price of a stock. These large orders, however, are not executed but cancelled shortly after, creating a false demand for a specific stock and influencing the price. A spoofing detector can use algorithms to detect and report these practices to maintain the integrity of the market. The Volume Point of Control (VPOC) is a concept in technical analysis aimed at identifying the key price level at which a stock was bought and sold. VPOC is calculated by analyzing the volume data of a stock and determining the price level at which the largest volume was traded for a specific period. This price level can serve as an indicator of the current market trend and market interest in a specific stock. There is a substantive connection between a spoofing detector and VPOC because both tools can be used to gain a better understanding of the stock markets and detect potential forms of market manipulation. For example, VPOC can be used as an indicator of potential market manipulation when an abnormal distribution of trading volume is observed at a specific price level. A spoofing detector can then be used to detect and report these activities. Pine Script Indicator Analysis: This is a Pine Script code for a spoofing detector and volume point of control (VPOC) indicator. The purpose of the indicator is to detect and highlight potential spoofing activities in the market, as well as to plot the volume point of control on the chart. Inputs: Median Lookback: This input defines the length of the median calculation, with a default value of 25. Range To Edges Threshold: This input sets a threshold value for the range to edges calculation, with a default value of 200. Multiplier 1: This input sets a multiplier value to be used in the average true range calculation, with a default value of 0.8. Multipler 2: This input sets a multiplier value to be used in the average true range calculation, with a default value of 2.0. Multipler 3: This input sets a multiplier value to be used in the average true range calculation, with a default value of 3.0. Variables: y, x, ds, os: These are arrays and a variable used for the first part of the spoofing detection process. y1, x1, ds1, os1: These are arrays and a variable used for the second part of the spoofing detection process. y2, x2, ds2, os2: These are arrays and a variable used for the third part of the spoofing detection process. Calculation: The code starts by defining some variables, such as the bar index (n), the close price (src), and the average true range (atr) with different multipliers. Next, the median of the close price is calculated over the lookback period specified by the "Median Lookback" input. Then, the difference between the current median and the previous median is calculated, and the value is compared with the average true range with different multipliers to determine the state of the market (up, down, or unchanged). The code then checks if the state has changed from the previous bar, and if so, the code performs a spoofing detection calculation. The spoofing detection calculation involves determining the range between the first and last bar in the median calculation, and dividing it by the sum of the absolute differences calculated earlier. If the result is below the "Range To Edges Threshold" input, the code plots a line and a label on the chart indicating a potential spoofing activity. The process is repeated for each of the three parts of the spoofing detection process. VPOC: The VPOC code is used to calculate the Volume Point of Control (VPOC) on a chart. The VPOC is the price level with the highest volume over a specified lookback period. The script contains several functions and inputs that allow the user to customize the calculation. Inputs: i_source: This input allows the user to specify the source for the VPOC price calculation. The options are the close price of the bar. i_vpocThreshold: This input allows the user to set the threshold percentage for the VPOC highlight. Functions: timeStep_translate(): This function returns a string representing the time step of the lower time frame based on the current time frame of the chart. ltfStats(): This function returns an array of the source and volume of the lower time frame. ltfSrc, ltfVolume: This line requests the lower time frame data using the request.security_lower_tf function, with the lower time frame step calculated by the timeStep_translate() function. maxVolume and indexOfMaxVolume: These variables store the maximum volume value and its corresponding index in the ltfVolume array. maxVol: This variable stores the source value corresponding to the maximum volume. vpocThresholdMet: This variable is a boolean that is true when the volume at the maximum volume price level is greater than or equal to the threshold percentage of the total volume. vpocColor: This variable stores the color for the VPOC plot. vh: This variable stores the highest volume in the lookback period. plotshape(): This function plots the VPOC on the chart. The shape will be plotted only if the volume is greater than the specified threshold percentage of the highest volume in the lookback period. The shape will be labeled with the text "VC". Overall, this script calculates the VPOC for a chart by aggregating volume data from a lower time frame and plotting a shape at the price level with the highest volume. The user can specify the source for the VPOC calculation and the threshold percentage for the VPOC highlight. Important: VPOC shows everything in real time as a leading indicator, the triple spoofing detector is trailing Best regards Chervolino
Wskaźnik Pine Script®
od chervolino
10
Supply and Demand Zone ConfirmationHello traders and investors, Today, I am going to share an indicator that I made by mixing RSI and CCI in different timeframe. You can use this indicator in various ways, however the best possible way I would recommend you to use it is to combine it with price action. I would suggest to play with, so you can decide if it works the best for you. The whole purpose of making this indicator was to eliminate confusion around different indicators for overbought and oversold and many other headaches. You use price action and you are looking for confirmation to see there is a PRZ? here is your indicator. I found there are certain patterns with CCI and RSI in higher timeframe which helps to find the PRZ and I made this indicator with it. You can choose to use this indicator in different timeframe. But you have to consider, the lower timeframe you'll go, you will get more signals but the effectiveness goes down with it. Also, if you are willing to change the time frame, You have to change some settings as well which I'll get into it in a moment. The default settings are for 30min timeframe with these settings. ibb.co In case you would like to go to 15min time frame, here is the suggested changes in the setting. ibb.co I would suggest to play with different timeframe to find the suitable setting for the pairs you would like to trade. The main goal is you have to choose first CCI one timeframe higher ( if you are in 5min chart, first CCI should be at least 15 or 30min) and the second CCI one timeframe higher than first CCI (if you choose 15min for first CCI, go with 1hr for second CCI). And lastly, RSI can be variable but it is suggested to be at least as low as first CCI timeframe. Lastly, you have to consider nothing in this script is a financial advice, it is only to help you improve your trading style by making other indicators as simple as possible.
Wskaźnik Pine Script®
od MBCryptocurrency
3
Trop BandsTrop Bands is a tool that uses an exponential moving average (EMA) as its central trendline and upper and lower bands to identify potential buying and selling opportunities in the market. The bands are calculated based on recent moves away from the EMA, and they are plotted around the central trendline to provide a visual representation of market trends and conditions. When the price moves outside of these bands, it can be seen as a signal that the security is overbought or oversold and may be ready for a reversal, just like Bollinger Bands. In addition to providing signals when the price moves outside of the bands, the indicator can also show triangles outside/inside the bands. These triangles are based on the Demand Index developed by James Sibbet and are intended to provide additional confirmation of potential trading opportunities. They can be used in conjunction with other technical analysis tools to help identifying potential trading opportunities in the market.
Wskaźnik Pine Script®
od Troptrap
CVD - Cumulative Volume Delta (Chart)█   OVERVIEW This indicator displays cumulative ​volume delta (​CVD) as an on-chart oscillator. It uses intrabar analysis to obtain more precise ​volume delta information compared to methods that only use the chart's timeframe. The core concepts in this script come from our first ​ CVD indicator , which displays CVD​ values as plot candles in a separate indicator pane. In this script, CV​D values are scaled according to price ranges and represented on the main chart pane. █   CONCEPTS Bar polarity Bar polarity refers to the position of the close price relative to the open price. In other words, bar polarity is the direction of price change. Intrabars Intrabars are chart bars at a lower timeframe than the chart's. Each 1H chart bar of a 24x7 market will, for example, usually contain 60 bars at the lower timeframe of 1min, provided there was market activity during each minute of the hour. Mining information from intrabars can be useful in that it offers traders visibility on the activity inside a chart bar. Lower timeframes (LTFs) A lower timeframe is a timeframe that is smaller than the chart's timeframe. This script utilizes a LTF to analyze intrabars, or price changes within a chart bar. The lower the ​LTF, the more intrabars are analyzed, but the less chart bars can display information due to the limited number of intrabars that can be analyzed. Volume delta Volume delta is a measure that separates ​volume​ into "up" and "down" parts, then takes the difference to estimate the net demand for the asset. This approach gives traders a more detailed insight when analyzing volume​ and market sentiment. There are several methods for determining whether an asset's volume​ belongs in the "up" or "down" category. Some indicators, such as On Balance Volume​ and the Klinger Oscillator , use the change in price between bars to assign ​volume​ values to the appropriate category. Others, such as Chaikin Money Flow , make assumptions based on open, high, low, and close prices. The most accurate method involves using tick data to determine whether each transaction occurred at the bid or ask price and assigning the ​volume​ value to the appropriate category accordingly. However, this method requires a large amount of data on historical bars, which can limit the historical depth of charts and the number of symbols for which tick data is available. In the context where historical tick data is not yet available on TradingView, intrabar analysis is the most precise technique to calculate ​volume delta on historical bars on our charts. This indicator uses intrabar analysis to achieve a compromise between simplicity and accuracy in calculating ​volume delta on historical bars. Our Volume Profile indicators use it as well. Other ​volume delta indicators in our Community Scripts , such as the Realtime 5D Profile , use real-time chart updates to achieve more precise ​volume delta calculations. However, these indicators aren't suitable for analyzing historical bars since they only work for real-time analysis. This is the logic we use to assign intrabar ​volume to the "up" or "down" category:  • If the intrabar's open and close values are different, their relative position is used.  • If the intrabar's open and close values are the same, the difference between the intrabar's close and the previous intrabar's close is used.  • As a last resort, when there is no movement during an intrabar and it closes at the same price as the previous intrabar, the last known polarity is used. Once all intrabars comprising a chart bar are analyzed, we calculate the net difference between "up" and "down" intrabar volume​ to produce the volume​ delta for the chart bar. █   FEATURES CVD resets The "cumulative" part of the indicator's name stems from the fact that calculations accumulate during a period of time. By periodically resetting the volume​ delta accumulation, we can analyze the progression of ​volume delta across manageable chunks, which is often more useful than looking at ​volume delta accumulated from the beginning of a chart's history. You can configure the reset period using the "CVD Resets" input, which offers the following selections:  • None : Calculations do not reset.  • On a fixed higher timeframe : Calculations reset on the higher timeframe you select in the "Fixed higher timeframe" field.  • At a fixed time that you specify.  • At the beginning of the regular session .  • On trend changes : Calculations reset on the direction change of either the Aroon indicator, Parabolic SAR , or Supertrend .  • On a stepped higher timeframe : Calculations reset on a higher timeframe automatically stepped using the chart's timeframe and following these rules: Chart TF ​HTF < 1min 1H < 3H 1D <= 12H 1W < 1W 1M >= 1W 1Y Specifying intrabar precision Ten options are included in the script to control the number of intrabars used per chart bar for calculations. The greater the number of intrabars per chart bar, the fewer chart bars can be analyzed. The first five options allow users to specify the approximate amount of chart bars to be covered:  • Least Precise (Most chart bars) : Covers all chart bars by dividing the current timeframe by four.   This ensures the highest level of intrabar precision while achieving complete coverage for the dataset.  • Less Precise (Some chart bars) & More Precise (Less chart bars) : These options calculate a stepped ​LTF in relation to the current chart's timeframe.  • Very precise (2min intrabars) : Uses the second highest quantity of intrabars possible with the 2min ​LTF.  • Most precise (1min intrabars) : Uses the maximum quantity of intrabars possible with the 1min ​LTF. The stepped lower timeframe for "Less Precise" and "More Precise" options is calculated from the current chart's timeframe as follows: Chart Timeframe Lower Timeframe Less Precise More Precise < 1hr 1min 1min < 1D 15min 1min < 1W ​2hr​ 30min > 1W 1D 60min The last five options allow users to specify an approximate fixed number of intrabars to analyze per chart bar. The available choices are 12, 24, 50, 100, and 250. The script will calculate the LTF​ which most closely approximates the specified number of intrabars per chart bar. Keep in mind that due to factors such as the length of a ticker's sessions and rounding of the LTF​, it is not always possible to produce the exact number specified. However, the script will do its best to get as close to the value as possible. As there is a limit to the number of intrabars that can be analyzed by a script, a tradeoff occurs between the number of intrabars analyzed per chart bar and the chart bars for which calculations are possible. Display This script displays raw or cumulative volume​ delta values on the chart as either line or histogram oscillator zones scaled according to the price chart, allowing traders to visualize volume​ activity on each bar or cumulatively over time. The indicator's background shows where CVD​ resets occur, demarcating the beginning of new zones. The vertical axis of each oscillator zone is scaled relative to the one with the highest price range, and the oscillator values are scaled relative to the highest volume​ delta. A vertical offset is applied to each oscillator zone so that the highest oscillator value aligns with the lowest price. This method ensures an accurate, intuitive visual comparison of volume​ activity within zones, as the scale is consistent across the chart, and oscillator values sit below prices. The vertical scale of oscillator zones can be adjusted using the "Zone Height" input in the script settings. This script displays labels at the highest and lowest oscillator values in each zone, which can be enabled using the "Hi/Lo Labels" input in the "Visuals" section of the script settings. Additionally, the oscillator's value on a chart bar is displayed as a tooltip when a user hovers over the bar, which can be enabled using the "Value Tooltips" input. Divergences occur when the polarity of ​volume delta does not match that of the chart bar. The script displays divergences as bar colors and background colors that can be enabled using the "Color bars on divergences" and "Color background on divergences" inputs. An information box in the lower-left corner of the indicator displays the HTF used for resets, the ​LTF used for intrabars, the average quantity of intrabars per chart bar, and the number of chart bars for which there is LTF data. This is enabled using the "Show information box" input in the "Visuals" section of the script settings. FOR Pine Script™ CODERS  • This script utilizes `ltf()` and `ltfStats()` from the lower_tf library.   The `ltf()` function determines the appropriate lower timeframe from the selected calculation mode and chart timeframe, and returns it in a format that can be used with request.security_lower_tf() .   The `ltfStats()` function, on the other hand, is used to compute and display statistical information about the lower timeframe in an information box.  • The script utilizes display.data_window and display.status_line to restrict the display of certain plots.   These new built-ins allow coders to fine-tune where a script’s plot values are displayed.  • The newly added session.isfirstbar_regular built-in allows for resetting the ​CVD segments at the start of the regular session.  • The VisibleChart library developed by our resident PineCoders team leverages the chart.left_visible_bar_time and chart.right_visible_bar_time variables to optimize the performance of this script.   These variables identify the opening time of the leftmost and rightmost visible bars on the chart, allowing the script to recalculate and draw objects only within the range of visible bars as the user scrolls.   This functionality also enables the scaling of the oscillator zones.   These variables are just a couple of the many new built-ins available in the chart.* namespace.   For more information, check out this blog post or look them up by typing "chart." in the Pine Script™ Reference Manual .  • Our ta library has undergone significant updates recently, including the incorporation of the `aroon()` indicator used as a method for resetting ​CVD segments within this script.   Revisit the library to see more of the newly added content! Look first. Then leap.
Wskaźnik Pine Script®
od TradingView
57
Volume profile zonesHi all! This script calculates and shows the volume profile for the range of a higher timeframe candle. It then shows support or resistance (/supply or demand) zones based on the volume profiles with the most volume. The defaults are just my preferred settings so feel free to play with them! Also feel free to let me know about bugs and features. I already have a list of features to make, e.g.: base on pivots more info zone calculations, e.g. breaks and retests, virgin point of control etc. add alerts get rid of getPriceLevels() get rid of _barVolumeProfile prefix handle realtime ... Best of trading luck!
Wskaźnik Pine Script®
od mickes
45
[Pt] Periodic Volume ProfileThis script is an attempt to recreate the Periodic Volume Profile that is built-in by TradingView, with slightly different features. Related blog: www.tradingview.com This script is based on another script "Volume Profile, Pivot Anchored" by @dgtrd *Note that only limited number Volume Profile can be displayed on the chart due to limitations on displaying boxes and lines. Description This Periodic Volume Profile (PVP) indicator allows trades to view volume profiles for periods longer than the current timeframe. The indicator builds one general volume profile for each new period, set by the user through the “Periodic Timeframe” input parameter. This script also has the option to extend Point of Control (POC) lines with optional end conditions: Until Bar Touch, Until Last Bar, Until Bar Cross, or None, which extends to the right. Signals are generated for Naked POC touches and crosses by a triangle symbol and a cross symbol, by default. Alerts are available for POC touches and crosses. What is Volume Profile? Volume profile is a technical analysis tool that shows the volume of trades at different prices for a given security or market over a specific period of time. Volume profile can be used to identify key levels of support and resistance, as well as to assess the overall supply and demand for a security. For example, if there is a high volume of trades at a particular price level, this may indicate that there is a significant level of support or resistance at that price. On the other hand, if there is relatively low volume at a particular price, this may indicate that there is not much interest in trading at that level. Traders can use volume profile to identify trends, make trading decisions, and set stop-loss and take-profit orders. It can also be useful for identifying patterns such as "pockets of liquidity," which are areas where there is a high volume of trades but relatively little price movement. It is important to note that volume profile should be used in conjunction with other technical analysis tools and should not be relied upon in isolation. It is also important to consider the overall context and market conditions when interpreting volume profile data. Key Difference with TradingView's PVP indicator - TradingView's PVP intraday period does not align with standard intraday timeframes as it is determined by # of bars. This script provides volume profiles that aligns with higher timeframe periods. Enjoy~!
Wskaźnik Pine Script®
od PtGambler
80
Musashi_Fractal_Dimension === Musashi-Fractal-Dimension === This tool is part of my research on the fractal nature of the markets and understanding the relation between fractal dimension and chaos theory. To take full advantage of this indicator, you need to incorporate some principles and concepts: - Traditional Technical Analysis is linear and Euclidean, which makes very difficult its modeling. - Linear techniques cannot quantify non-linear behavior - Is it possible to measure accurately a wave or the surface of a mountain with a simple ruler? - Fractals quantify what Euclidean Geometry can’t, they measure chaos, as they identify order in apparent randomness. - Remember: Chaos is order disguised as randomness. - Chaos is the study of unstable aperiodic behavior in deterministic non-linear dynamic systems - Order and randomness can coexist, allowing predictability. - There is a reason why Fractal Dimension was invented, we had no way of measuring fractal-based structures. - Benoit Mandelbrot used to explain it by asking: How do we measure the coast of Great Britain? - An easy way of getting the need of a dimension in between is looking at the Koch snowflake. - Market prices tend to seek natural levels of ranges of balance. These levels can be described as attractors and are determinant. Fractal Dimension Index ('FDI') Determines the persistence or anti-persistence of a market. - A persistent market follows a market trend. An anti-persistent market results in substantial volatility around the trend (with a low r2), and is more vulnerable to price reversals - An easy way to see this is to think that fractal dimension measures what is in between mainstream dimensions. These are: - One dimension: a line - Two dimensions: a square - Three dimensions: a cube. --> This will hint you that at certain moment, if the market has a Fractal Dimension of 1.25 (which is low), the market is behaving more “line-like”, while if the market has a high Fractal Dimension, it could be interpreted as “square-like”. - 'FDI' is trend agnostic, which means that doesn't consider trend. This makes it super useful as gives you clean information about the market without trying to include trend stuff. Question: If we have a game where you must choose between two options. 1. a horizontal line 2. a vertical line. Each iteration a Horizontal Line or a Square will appear as continuation of a figure. If it that iteration shows a square and you bet vertical you win, same as if it is horizontal and it is a line. - Wouldn’t be useful to know that Fractal dimension is 1.8? This will hint square. In the markets you can use 'FD' to filter mean-reversal signals like Bollinger bands, stochastics, Regular RSI divergences, etc. - Wouldn’t be useful to know that Fractal dimension is 1.2? This will hint Line. In the markets you can use 'FD' to confirm trend following strategies like Moving averages, MACD, Hidden RSI divergences. Calculation method: Fractal dimension is obtained from the ‘hurst exponent’. 'FDI' = 2 - 'Hurst Exponent' Musashi version of the Classic 'OG' Fractal Dimension Index ('FDI') - By default, you get 3 fast 'FDI's (11,12,13) + 1 Slow 'FDI' (21), their interaction gives useful information. - Fast 'FDI' cross will give you gray or red dots while Slow 'FDI' cross with the slowest of the fast 'FDI's will give white and orange dots. This are great to early spot trend beginnings or trend ends. - A baseline (purple) is also provided, this is calculated using a 21 period Bollinger bands with 1.618 'SD', once calculated, you just take midpoint, this is the 'TDI's (Traders Dynamic Index) way. The indicator will print purple dots when Slow 'FDI' and baseline crosses, I see them as Short-Term cycle changes. - Negative slope 'FDI' means trending asset. - Positive most of the times hints correction, but if it got overextended it might hint a rocket-shot. TDI Ranges: - 'FDI' between 1.0≤ 'FDI' ≤1.4 will confirm trend following continuation signals. - 'FDI' between 1.6≥ 'FDI' ≥2.0 will confirm reversal signals. - 'FDI' == 1.5 hints a random unpredictable market. Fractal Attractors - As you must know, fractals tend orbit certain spots, this are named Attractors, this happens with any fractal behavior. The market of course also shows them, in form of Support & Resistance, Supply Demand, etc. It’s obvious they are there, but now we understand that they’re not linear, as the market is fractal, so simple trendline might not be the best tool to model this. - I’ve noticed that when the Musashi version of the 'FDI' indicator start making a cluster of multicolor dots, this end up being an attractor, I tend to draw a rectangle as that area as price tend to come back (I still researching here). Extra useful stuff - Momentum / speed: Included by checking RSI Study in the indicator properties. This will add two RSI’s (9 and a 7 periods) plus a baseline calculated same way as explained for 'FDI'. This gives accurate short-term trends. It also includes RSI divergences (regular and hidden), deactivate with a simple check in the RSI section of the properties. - BBWP (Bollinger Bands with Percentile): Efficient way of visualizing volatility as the percentile of Bollinger bands expansion. This line varies color from Iced blue when low volatility and magma red when high. By default, comes with the High vols deactivated for better view of 'FDI' and RSI while all studies are included. DDWP is trend agnostic, just like 'FDI', which make it very clean at providing information. - Ultra Slow 'FDI': I noticed that while using BBWP and RSI, the indicator gets overcrowded, so there is the possibility of adding only one 'FDI' + its baseline. Final Note: I’ve shown you few ways of using this indicator, please backtest before using in real trading. As you know trading is more about risk and trade management than the strategy used. This still a work in progress, I really hope you find value out of it. I use it combination with a tool named “Musashi_Katana” (also found in TradingView). Best! Musashi
Wskaźnik Pine Script®
od Musashi-Alchemist
24
Up/Down Vol RatioThe Up/Down Volume Ratio is a tool utilized by investors.com. They describe it as "A 50-day ratio that is derived by dividing total volume on up days by the total volume on down days. A ratio greater than 1.0 implies positive demand for a stock." It is best used to confirm buying or selling pressure in your stock in conjunction with price analysis. Acknowledgment The formula is obtained from the investors.com education section: education.investors.com Thank you to @JohnMuchow for upgrading my code for best practices when publishing.
Wskaźnik Pine Script®
od CarusoInsights
18
Stock Market Emotion Index (SMEI)Implementation of Charlie Q. Yang's research paper “The stock market emotion index”, subtitle “A New Sentiment Measure Using Enhanced OBV and Money Flow Indicators”, (2007) where he combined “five simple emotion statistics” - Close Emotion Statistic (CES), Money Flow Statistic (MFS), Supply Demand Statistic (SDS), Relative Strength Statistic (RSS), and Psychological Level Statistic (PLS) - into one indicator. Quotations: “The index calculation is solely based on observed short term market volatility as reflected by each day’s trading volume, open, high, low, and close prices” “The basic premise of Dow theory is that the market discounts everything, including the emotions of all traders. The fundamentals of a company do not change suddenly when its daily stock price is fluctuating as driven by human emotions that are often irrational. However, over a longer time period, a company's fundamentals do change. Again, different types of human emotions, triggered by the flow of material events, are moving the stock price trend up or down. This paper summarizes the author’s attempt in understanding primary trend extent and duration by proposing a new sentiment measure using statistical analysis of stock market human emotion.” Even though “indicator is intended for identifying primary trend cycles that typically last one year or longer“ where Mr. Yang used a fixed averaging length of 260 days and only days as time frame, my implementation has been changed slightly to accommodate for all time frames and to adapt faster using shorter averaging (timeframe dependent). How to use it: Positive values indicating a bullish trend and negative values indicating a bearish trend. Background color is set to green or red accordingly. Positive and negative bar to bar changes are indicated with green and red to show bar to bar (ultra short term) trends. (No financial advise, use for testing purposed only)
Wskaźnik Pine Script®
od Lantzwat
BTMM OFJ FOR BEST RESULTS PLEASE SWITCH TO LINE CHART OR DISABLE THE CHART CANDLES. BELOW IS A LINE WITH OPACITY TURNED DOWN TO 15% ASIA, LONDON, AND NEW YORK SESSIONS CAN BE CUSTOMIZED (1ST 3 HRS DEFAULT) VOLUME CANDLES CAN BE APPLIED WITH SUPPLY AND DEMAND OR MARKET MAKER METHOD. IN A STRONG TREND YOU WANT TO SEE REPEATED HIGH VOLUME CLUSTERS IN THE DIRECTION OFTHE TREND AND FADING LOW VOLUME ON THE RETRACE BASICK KEY LEVELS WEEKLY INITIAL BALANCE (MONDAY+TUESDAY HIGHEST HIGH AND LOWEST LOW) YESTERDAY AND LASY WKHI/LO QUICK APPLICATON
Wskaźnik Pine Script®
od MatrixEdge
2