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High Liquidity Zones and Threshold VolumeThe High Liquidity Zones indicator is designed to identify areas of significant liquidity in the market. It helps traders recognize regions where trading volume is notably higher, indicating potential areas of increased market activity and interest. The indicator calculates the average volume over a specified lookback period, which can be customized according to individual preferences. This average volume acts as a reference point to determine the threshold volume level. The threshold percentage input allows users to set the sensitivity of the indicator, defining the minimum volume required for an area to be considered a high liquidity zone. When the current volume surpasses the threshold volume level, the indicator highlights these areas as high liquidity zones. This visual representation allows traders to quickly identify and focus on periods of heightened trading activity. The high liquidity zones are marked with square shapes below the histogram, providing a clear visual indication on the chart. The first plot line represents the threshold volume level as a histogram, showing the volume levels in relation to the threshold. This histogram helps traders assess the magnitude of the volume in the identified high liquidity zones. The second plot line represents the threshold volume's simple moving average (SMA) over the lookback period. The SMA acts as a reference line, smoothing out fluctuations in the threshold volume and providing a more stable measure of high liquidity zones. Traders can use this line to better understand the overall trend and dynamics of liquidity. The High Liquidity Zones indicator offers flexibility, allowing traders to adapt it to their preferred trading style and timeframe. By adjusting the lookback period and threshold percentage, users can fine-tune the sensitivity of the indicator based on their trading strategies and market conditions. Furthermore, traders can combine the High Liquidity Zones indicator with other technical analysis tools to confirm trading signals or identify areas of potential support and resistance. It can help them locate price levels where market participants have a substantial presence and where significant buying or selling pressure may occur. Overall, the High Liquidity Zones indicator is a valuable tool for traders seeking to gain insights into market liquidity dynamics. By highlighting areas of intense trading activity, it assists in making informed trading decisions and identifying opportunities within the market.
Pine Script™ indicator
by LeafAlgo
5
Z Algo (Expo)█ Overview Z Algo (Expo) is a sophisticated and user-friendly trading tool designed to meet the needs of both novice and seasoned traders. With its real-time signals, trend analysis, and risk management capabilities, this tool can be a valuable addition to any trader's toolkit. █ Main Features & How to Use Buy/Sell signals: Z Algo provides real-time buy and sell signals, which assist traders in identifying the most opportune moments to enter or exit a trade. Strong Buy/Sell signals: In addition to regular buy and sell signals, the tool also offers strong buy and sell signals. These are generated when the market conditions align with a higher probability of a significant price movement. Sniper Signals: This feature is specifically designed for contrarian traders who look to exploit temporary market inefficiencies or take advantage of price reversals. When enabled, Sniper Signals identify potential market turning points, offering traders the opportunity to profit from sharp price fluctuations. Reversal Cloud: The Reversal Cloud is a unique visual representation of the market's potential trend reversals. It offers traders an easy-to-understand display of changing market dynamics, enabling them to quickly identify potential entry and exit points based on trend reversals. Support and Resistance (S/R) Levels: Z Algo automatically calculates and displays support and resistance levels on the chart. These are crucial price points where buying or selling pressure may change, providing valuable insights for traders looking to enter or exit positions based on these levels. Trend Tracker: This feature helps traders monitor and analyze the prevailing market trend. Trend Tracker identifies and highlights the direction of the trend, allowing traders to align their strategies accordingly and increase their chances of success. Trend Background Color: To improve the user experience and simplify the interpretation of market data, Z Algo changes the chart's background color based on the identified trend direction. This visual cue makes it easier for traders to recognize bullish or bearish trends at a glance. Bar Coloring: In addition to the trend background color, Z Algo also provides bar coloring for both contrarian and trend bars. This feature helps traders visualize price movements and trends more effectively, enabling them to identify potential opportunities for both trend-following and contrarian trading strategies. Risk Management: The tool incorporates risk management features that help traders to protect their capital and maximize potential returns. Users can set stop-loss and take-profit levels, as well as customize their risk exposure according to their individual preferences and trading style. █ Calculations █ What are the Buy/Sell signals based on? The Buy/Sell signals use volatility and price range with a weighting function that can help reduce lag and respond faster to recent price changes. The function gives more weight to the most recent volatility values and absolute price changes, making the algorithm more responsive to changes in volatility and price moves. Using a model that factors in both price changes and volatility gives a bias toward more recent data. This advanced approach to trading signal generation incorporates the concepts of trend following and mean reversion while accounting for changing market volatility. Traditional systems often use fixed parameters, which may not adapt quickly to changes in market conditions. This can lead to late entries or exits, potentially reducing profitability or increasing risk. Our algorithm uses a weighting function to give more importance to recent volatility values, and absolute price changes can make these signals more responsive. This is especially useful in dynamic markets where price swings and volatility can change rapidly. Adapting to Recent Price Changes: Markets can often exhibit trending behavior over certain periods. By weighing recent price changes more heavily, the model can quickly identify and react to the emergence of new trends. This can lead to earlier entries in a new trend, potentially increasing profitability. Adapting to Recent Volatility Changes: Markets can shift from low to high volatility regimes (and vice versa) quite rapidly. A model that gives more weight to recent volatility can adapt its signals to these changing conditions. For example, in high volatility conditions, the model might generate fewer signals to reduce the risk of false breakouts. Conversely, in low volatility conditions, the model might generate more signals to capitalize on trending behavior. Adaptive Trading: The approach inherently leads to an adaptive trading system. Rather than using fixed parameters, the system can adjust its behavior based on recent market activity. This can lead to a more robust system that performs well across different market conditions. █ What are the Sniper signals (contrarian signals) based on? Our contrarian signals are based on deviation from the expected value. The algorithm quantifies the amount of variation or dispersion in a set of values. Non-expected values are the fundamental core of the signal generation process. █ Reversal Cloud Calculation The cloud uses the information of how much the price fluctuates over a specific time period and updates its equilibrium value automatically at new price changes. The price changes are used to predict what will happen next, and the band adapts accordingly. The algorithm assumes that past price changes can predict future market behavior. █ Support and Resistance (S/R) Levels Calculation The support and resistance levels use historical overbought and oversold levels combined with a weighted atr function to predict future support and resistance areas. This calculation can potentially give traders a great heads-up on where the price may find support and resistance at. █ Trend & Bar coloring Calculation Trend calculations with dynamic events are key in ever-changing markets. The main idea of the calculation method is to find the mathematical function that best fits the data points, by minimizing the sum of the squares of the vertical distances of each data point from the equilibrium. The outcome is a function that finds the best mathematical description of that data. Hence the trend output may vary depending on the asset and timeframe. A unique approach where the same settings can give different results. █ Risk Management Calculation The risk management system is not unique in itself and contains everything that can help traders to manage their risk, such as different types of stop losses, Take Profits calculations. ----------------- 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!
Pine Script™ indicator
by Zeiierman
69
Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages. D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way. How does D_VESPA work? ------------------------------------- The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA. Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability. Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence) Main Features of D_VESPA -------------------------------------- - Update Supply/Demand calculation to include 2-bar gaps (improved algo) - Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA - Add option to show Net Volume as 3-color bars - Visual simplification and improvements to be less distracting & more actionable - added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net) - add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other (there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA) Quick techie piece, how does the estimated buy/sell volume algo work ? ------------------------------------------------------------------------------------------ * per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves * so each of the bulls and bears will get the equivalent of the top & bottom wicks, * for up bars, bulls get the value of the "body", else the bears get the "body" * open gaps are allocated to bulls or bears depending on the gap direction The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap. I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar The Secondary TF Est Average Net Volume: --------------------------------------------------------- I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart. - this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode" - this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings. Note on the secondary TF NetVol plot: - the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on.. - the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings. the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled Final Thoughts ------------------- * RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it. * Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend. * I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
Pine Script™ indicator
by RedKTrader
25
Open Interest Suite [Aggregated] - By LeviathanThis script is an all-in-one indicator that uses aggregated Open Interest data to plot OI candles, Open Interest Delta, OI x rVOL, and OI RSI. It also includes tools such as an OI Distribution profile, large OI increase/decrease coloring, a Stats Screener, and much more. You can select and have the script plot the following: - Open Interest in the form of OHLC candles - Open Interest Delta in the form of a histogram - Open Interest x Relative Volume in the form of a histogram - Open Interest RSI in the form of a line Additional features include: - OI Distribution Profile (It shows the distribution of open interest in the visible range on y axis. This makes it easier to identify when Open Interest is relatively high or low and at which values most of the action took place) - Stats screener (The screener includes the real-time net Open Interest value, Rekt Longs/Rekt Shorts based on large OI decreases and Aggressive Longs/Shorts based on large OI increases) - Coloring (You can color OI Delta nodes, background and chart candles based on large OI increases/decreases) - more Instructions for the settings will be provided in the tooltips shortly. Full credit goes to @KioseffTrading for the profile generation code.
Pine Script™ indicator
by LeviathanCapital
37
Normalized Elastic Volume Oscillator (MTF)The Multi-Timeframe Normalized Elastic Volume Oscillator combines volume analysis with multiple timeframe analysis. It provides traders with valuable insights into volume dynamics across different timeframes, helping to identify trends, potential reversals, and overbought/oversold conditions. When using the Multi-Timeframe Normalized Elastic Volume Oscillator, consider the following guidelines: Understanding Input Parameters : The indicator offers customizable input parameters to suit your trading preferences. You can adjust the EMA length (emaLength), scaling factor (scalingFactor), volume weighting option (volumeWeighting), and select a higher timeframe for analysis (higherTF). Experiment with these parameters to optimize the indicator for your trading strategy. Multiple Timeframe Analysis : The Multi-Timeframe Normalized Elastic Volume Oscillator allows you to analyze volume dynamics on both the current timeframe and a higher timeframe. By comparing volume behavior across different timeframes, you gain a broader perspective on market trends and the strength of volume deviations. The higher timeframe analysis provides additional confirmation and helps identify more significant market shifts. Normalized Values : The indicator normalizes the volume deviations on both timeframes to a consistent scale between -0.25 and 0.75. This normalization makes it easier to compare and interpret the oscillator's readings across different assets and timeframes. Positive values indicate bullish volume behavior, while negative values suggest bearish volume behavior. Interpreting the Indicator : Pay attention to the position of the Multi-Timeframe Normalized Elastic Volume Oscillator lines relative to the zero line on both timeframes. Positive values on either timeframe indicate a bullish bias, while negative values suggest a bearish bias. The distance of the oscillator from the zero line reflects the strength of the volume deviation. Extreme readings, both positive and negative, may indicate overbought or oversold conditions, potentially signaling a trend reversal or exhaustion. Combining with Other Indicators : For more robust trading decisions, consider combining the Multi-Timeframe Normalized Elastic Volume Oscillator with other technical analysis tools. This could include trend indicators, support/resistance levels, or candlestick patterns. By incorporating multiple indicators, you gain additional confirmation and increase the reliability of your trading signals. Remember that the Multi-Timeframe Normalized Elastic Volume Oscillator is a valuable tool, but it should not be used in isolation. Consider other factors such as price action, market context, and fundamental analysis to make well-informed trading decisions. Additionally, practice proper risk management and exercise caution when executing trades. By utilizing the Multi-Timeframe Normalized Elastic Volume Oscillator, you gain a comprehensive view of volume dynamics across different timeframes. This knowledge can help you identify potential market trends, confirm trading signals, and improve the timing of your trades. Take time to familiarize yourself with the indicator and conduct thorough testing on historical data. This will help you gain confidence in its effectiveness and align it with your trading strategy. With experience and continuous evaluation, you can harness the power of the Multi-Timeframe Normalized Elastic Volume Oscillator to make informed trading decisions.
Pine Script™ indicator
by LeafAlgo
[TT] Entry ProIndicators doesnt make money, it is the concept behind the indicator that makes money. Please read and understand before contact. This is not for beginners or people who are looking for Buy Sell signals. Purely for those who can understand the concept of confluence. This indicator will help you identify the Entry candle with confluence of SMC or Pivots or any other analysis that you use. Rules to follow :- 1. Identify Support Resistance (Smart Money Concept), Pivots, Trendlines (Choice is Yours) 2. Once Identified S&R Look for Bearish Candle at resistance or Bullish signal at Support, mark the areas NSE:NIFTY 3. At Support as shown above in examples if the pink candle or the confirmation candle doesnt close break the support but closes above the support area, we do not consider it as break down. Some time breakdown happens and then at retest we get the bearish signal, that will be a good entry. 4. Like wise at resistance if you cant see a bullish signal breaking the resistance area, we do not consider break out. Same as above sometimes we get a signal after breakout and while retesting. Bullish SIgnal At support example is given below NSE:BANKNIFTY 5. Enter in to a trade right when you get the signal use less lot size when you do and once you see price coming in to the range of the colored candle keep accumulating more at OHLC areas, first at high of colored candle and then close and then HL2 areas likewise, this helps to reduce your SL. Note: Areas to remember and not to get confused. At Important levels (Support or Resistance) once you get a relavent signal while retesting that signal you get a counter signal do not get confused by that and exit the trade. once you enter a trade you have to remain there as long as your SL is not hit. Remember that You have to use this retest candles to enter in to a trade, but not to get scared. How to Use this in Swing or Long term trading? Futures or Stocks !!! Look at the setup below Use weekly Chart to analyze for investment. In the below chart you can see there is a breakout of Swing high with candle and then a retest happened Twice but that area is intact. The best strategy to consider confluence is SMC. Thats what my perfect Setup is. You can use Orderblock to see if that orderblock is valid or not. Below you can see NSE:BANKNIFTY Few more Stocks for Example. NSE:AXISBANK BITSTAMP:BTCUSD OANDA:EURUSD Strictly Not assuring any 100% results. You need to least be confident on one concept of trading to aquire results.
Pine Script™ indicator
by TeamTaurus
41
Open Interest Profile [Fixed Range] - By LeviathanThis script generates an aggregated Open Interest profile for any user-selected range and provides several other features and tools, such as OI Delta Profile, Positive Delta Levels, OI Heatmap, Range Levels, OIWAP, POC and much more. The indicator will help you find levels of interest based on where other market participants are opening and closing their positions. This provides a deeper insight into market activity and serves as a foundation for various different trading strategies (trapped traders, supply and demand, support and resistance, liquidity gaps, imbalances,liquidation levels, etc). Additionally, this indicator can be used in conjunction with other tools such as Volume Profile. Open Interest (OI) is a key metric in derivatives markets that refers to the total number of unsettled or open contracts. A contract is a mutual agreement between two parties to buy or sell an underlying asset at a predetermined price. Each contract consists of a long side and a short side, with one party consenting to buy (long) and the other agreeing to sell (short). The party holding the long position will profit from an increase in the asset's price, while the one holding the short position will profit from the price decline. Every long position opened requires a corresponding short position by another market participant, and vice versa. Although there might be an imbalance in the number of accounts or traders holding long and short contracts, the net value of positions held on each side remains balanced at a 1:1 ratio. For instance, an Open Interest of 100 BTC implies that there are currently 100 BTC worth of longs and 100 BTC worth of shorts open in the market. There might be more traders on one side holding smaller positions, and fewer on the other side with larger positions, but the net value of positions on both sides is equivalent - 100 BTC in longs and 100 BTC in shorts (1:1). Consider a scenario where a trader decides to open a long position for 1 BTC at a price of $30k. For this long order to be executed, a counterparty must take the opposite side of the contract by placing a short order for 1 BTC at the same price of $30k. When both long and short orders are matched and executed, the Open Interest increases by 1 BTC, indicating the introduction of this new contract to the market. The meaning of fluctuations in Open Interest: - OI Increase - signifies new positions entering the market (both longs and shorts). - OI Decrease - indicates positions exiting the market (both longs and shorts). - OI Flat - represents no change in open positions due to low activity or a large number of contract transfers (contracts changing hands instead of being closed). Typically, we monitor Open Interest in the form of its running value, either on a chart or through OI Delta histograms that depict the net change in OI for each price bar. This indicator enhances Open Interest analysis by illustrating the distribution of changes in OI on the price axis rather than the time axis (akin to Volume Profiles). While Volume Profile displays the volume that occurred at a given price level, the Open Interest Profile offers insight into where traders were opening and closing their positions. How to use the indicator? 1. Add the script to your chart 2. A prompt will appear, asking you to select the “Start Time” (start of the range) and the “End Time” (end of the range) by clicking anywhere on your chart. 3. Within a few seconds, a profile will be generated. If you wish to alter the selected range, you can drag the "Start Time" and "End Time" markers accordingly. 4. Enjoy the script and feel free to explore all the settings. To learn more about each input in indicator settings, please read the provided tooltips. These can be accessed by hovering over or clicking on the ( i ) symbol next to the input.
Pine Script™ indicator
by LeviathanCapital
18
Market Order Bubbles + Trapped Positions [Pt]"Market Order Bubbles + Trapped Positions" is a multifaceted TradingView indicator, employing volume data to depict intensified market activities. By highlighting aggressive buying/selling behaviors, this tool serves as a dependable aid in pinpointing potential trading reversals. Additionally, it proves an effective device for real-time market trend monitoring. The unique ability of this indicator to spotlight 'Trapped Positions'—resulting from such vigorous trading activity—helps identify crucial price levels or ranges that may lead to significant price responses. Market Order Bubbles The Market Order Bubbles feature capitalizes on volume data to estimate market orders. High bullish volume is indicative of a surge in buy orders, while strong bearish volume flags an increase in sell orders. These orders are visually represented by bubbles of different sizes, corresponding directly to the volume strength, thus providing traders with an immediate, intuitive understanding of market activity. Trapped Positions/Zones The concept of Trapped Positions emerges when sizable buy orders appear during a bearish market trend, or vice versa. For instance, if a considerable sell order is detected during a bullish uptrend, it signifies that those short positions may be 'trapped'. These positions help in plotting potential price range zones. When the price revisits these zones and the market trend maintains its bullish inclination, trapped shorts might opt for liquidation near break-even to mitigate losses. The reverse holds true in a bearish downtrend. Trend Follower The Trend Follower feature is a supportive tool that aims to discern price trends, color-coding candle bars for clarity. This function assists traders by presenting a simplified view of the prevailing trend, helping to minimize distractions caused by minor price shifts. The utility of the Trend Follower is its ability to aid traders in focusing on the larger market direction. It allows traders to concentrate on the more substantial trend and make decisions that align with this broader market movement, rather than reacting to every minor price fluctuation. As a result, this feature may support traders in maintaining their positions for a longer duration, which could potentially enhance their trading outcomes. The Trend Follower, therefore, offers a helpful contribution to a balanced and effective trading approach. In essence, the "Market Order Bubbles + Trapped Positions" indicator with its Trend Follower feature provides traders with a comprehensive understanding of market dynamics, allowing them to navigate the financial markets with increased precision and confidence. Its unique features, designed to highlight significant market activities and trends, can greatly aid in refining trading strategies, making it a potentially invaluable tool in a trader's arsenal.
Pine Script™ indicator
by PtGambler
95
Purple CloudThe above lines calculate several intermediate values used in the indicator's calculations. Here's a breakdown of each variable: a1: Represents a modified Exponential Moving Average (EMA) of the high price series, subtracted by a Simple Moving Average (SMA) of the low price series. a2: Takes the square root of the lowest value between the highest close price over the last 200 bars and the current close price, multiplied by a1. b1: Represents a modified EMA of the low price series, subtracted by an SMA of the high price series. b2: Takes the square root of the highest value between the lowest close price over the last 200 bars and the current close price, multiplied by b1. c1: Represents the square root of a2 multiplied by b2. These lines create multiple plots using the plot function. Each plot represents a displaced version of c1 by a certain multiple of the Average True Range (ATR) multiplied by a constant factor (0.1, 0.2, 0.3, etc.). The transparency (transp) is set to 100 for all plots.
Pine Script™ indicator
by muratm82
49
Market Order Bubbles - By Leviathan"Market Order Bubbles" is a volume-based indicator that helps visualize the occurrences of increased aggressiveness in market buying/selling and can serve as a useful confluence for trading reversals or as a simple tool for observing real-time market dynamics. I created Market Order Bubbles six months ago as an additional tool included in my Liquidation Levels script. Due to their popularity, I decided to publish them as a standalone indicator with some new features. The script is based on a calculation that uses volume data (imitation of CVD) and price action to estimate where there is a surge in the quantity and magnitude of market buy and sell orders. These occurrences are visualized with circles (bubbles) that appear above the bar (market buy orders) or below the bar (market sell orders). Most of the time, the approach to interpreting the bubbles is contrarian, meaning that the appearance of Market Buy Order Bubbles can serve as a confluence to look for shorts, and the appearance of Market Sell Order Bubbles can serve as a confluence to look for longs. The concept behind taking a contrarian approach: Market Buy Order Bubbles appear above the price and possibly signal the following: - Short positions being liquidated (exit short = buy order) - New traders entering late longs based on FOMO (enter long = buy order) - Smarter traders getting their limit sell orders filled by aggressive buyers/stopped out shorts ⇒ Possible reversal to the downside / short-term pullback / start of ranging price action (PA) Market Sell Order Bubbles appear below the price and possibly signal the following: - Long positions being liquidated (exit long = sell order) - New traders entering late shorts based on FOMO (enter short = sell order) - Smarter traders getting their limit buy orders filled by aggressive sellers/stopped out longs ⇒ Possible reversal to the upside / short-term pullback / start of the ranging PA These events are identified and filtered by EMA and STDEV-based "thresholds," which can be modified in the indicator settings. 1. If the buy/sell volume exceeds the first threshold, a Small Bubble is displayed. 2. If the buy/sell volume surpasses the second threshold, a Medium Bubble is displayed. 3. If the buy/sell volume exceeds the third threshold, a Large Bubble is displayed. Increasing the multipliers effectively increases the threshold for a given bubble to appear, making the conditions for its occurrence more strict. Decreasing the multipliers effectively decreases the threshold for a given bubble to appear, making the conditions for its occurrence less strict. Settings Overview "Bubble Position" - Choose whether the bubbles are displayed above/below the candle, at the candle high/low, or at the intrabar POC of the candle. "Strength Gradient Color" - This option adjusts the transparency of the bubble's color relative to the volume on that bar. "Threshold EMA Length" - Choose the length of the EMA used for determining the thresholds. "Threshold STDEV Length" - Choose the length of the ta.stdev() function used on the EMA. "Appearance Delay" - This input allows you to delay the appearance of the bubble for x number of bars. The default is 0. "Show POC" - Show/hide intrabar POCs displayed as "-". "Timeframe-Adjusted Settings" - Different timeframes might require different parameters. In this section, you can set custom parameters (Lengths and Multipliers) for four different timeframes, and the script will automatically switch to those settings as you browse through different timeframes.
Pine Script™ indicator
by LeviathanCapital
31
All-In-One Auto Anchored VWAPsA chart isn't trendy without a VWAP (which stands for volume weighted average price). This indicator allows you to choose 3 different anchored VWAPs, and customize the anchor period from one of many different options, including: - Daily - Weekly - Monthly - Quarterly - Yearly - All Time - Specific Pivots - Specific Sessions You can then choose whether you want to anchor to the open, highest or lowest value within that period. The indicator will automatically update every time a new anchor point is triggered. Every VWAP has colors and standard deviation bands as an optional setting. As interest in the script grows I will continue to add new features.
Pine Script™ indicator
by Texmoonbeam
12
Volume Profile Regression Channel [LuxAlgo]The Volume Profile Regression Channel calculates a volume profile from an anchored linear regression channel. Users can choose the starting and ending points for the indicator calculation interval. Like a regular volume profile, a "line" of control (LOC), value area, and a developing LOC are displayed. 🔶 SETTINGS Sections: The number of sections the linear regression channel is divided into for the calculation of the volume profile. Width %: Determines the length of the profile within the channel relative to the channel length. Value Area %: Highlights the sections starting from the POC whose accumulated volume is equal to the user-defined percentage of the total profile sections volume. 🔶 USAGES Regular volume profiles are often constructed from a horizontal price area, this can allow highlighting price areas where most trading activity takes place. However, when price is strongly trending a classical volume profile can sometimes be more uniform. This is where using an angled volume profile can be useful. The line of control allows highlighting the section of the channel with the most accumulated volume, this line can be used as a potential future support/resistance. This is where an angled volume profile might be the most useful. The developing LOC highlights the LOC location at a specific time within the profile (from left to right) and can sometimes provide an estimate of the underlying trend in the price. 🔶 DETAILS To be computed the script requires a left and right chart time coordinates. When adding the script to their charts users can determine the left and right time coordinates by clicking on the chart. The linear regression channel width is determined so that the channel precisely encompasses the whole price. 🔶 LIMITATIONS Using a very large calculation interval can return timeouts. Users can reduce the calculation interval to fix that issue from occurring. The amount of drawing objects that can be used is limited, as such using a high calculation interval can display an incomplete profile. 🔶 ACKNOWLEDGEMENTS If you are interested in these types of scripts, @HeWhoMustNotBeNamed published a similar script where users can use a custom line angle. See his 'Angled Volume Profile' script from March 2023.
Pine Script™ indicator
by LuxAlgo
19
5EMA BollingerBand Nifty Stock Scanner What ? We all heard about (well: over-heard) 5-EMA strategy. Which falls into the broader category of mean reversal type of trading setup. What is mean reversal? Price (or any time series, in fact) tries to follow a mean . Whenever price diverges from the mean it tries to meet it back. It is empirically observed by some traders (I honestly don't know who first time observed it) that in Indian context specially, 5 Exponential Moving Average (5-EMA) works pretty good as that mean. So whenever price moves away from that 5-EMA, it ultimately comes back and attain total nirvana :) Means: if price moved way higher than the 5EMA without touching it, then price will correct to meet it's 5-EMA and if price moved way lower, it will be uplifted to meet it's 5-EMA. Funny - but it works ! Now there are already enough social media coverage on this 5-EMA strategy/setup. Even TradingView has some excellent work done on these setups. Kudos to all those great souls. So when we came to know about this, we were thinking what we should do for the community. Because it is well cover topic (specially in Indian context). Also, there are public indicators. Then we thought why not come up with a scanner which will scan all the Nifty-50 constituent stocks and find out on the fly, real-time which all stocks are matching this 5-EMA setup and causing a Buy/Sell trade recommendation. Hence here we are with the first version of our first scanner on the 5EMA setup (well it has some more masala than merely a 5-EMA setup). Why? Parts of why is already covered up. Now instead of blindly following 5-EMA setup, we added the Bollinger band as well. Again: it's also not new. There are enough coverage in social media about the 5-EMA+BB strategy/setup. We mercilessly borrowed from all of these. Suppose you have an indicator. Now you apply the indicator in your chart. And then you need to (rock) and roll through your watchlist of Nifty-50 stocks (note: TradingView has no default watchlist of Nifty-50 stock by default - you have to create one custom watchlist to list all manually) to find out which all are matching the setup, need to take a note about the trade recomendations (entry, SL, target) and other stuffs like VWAP, Volume, volatility (Bollinger Band Width). Not any more. This scanner will track all the Nifty-50 stocks (technically: 40 stocks other than Banking stocks) and provide which one to Buy or Sell (if any), what's the entry, SL, target, where is the VWAP of the day, what's the picture in volume (high, low, rising, falling) and the implied volatility (using Bolling band width). Also it has a naive alerting mechanism as well. In fact the code is there to monitor the (Future) OI also and all the OI drama (OI vs price and all the 4 stuffs like long build up, long unwinding, short covering, short buildup). But unfortunately, due to some limitations of the TradingView (that one can not monitor more than 40 `ta.security` call) we have to comment out the code. If you wish you can monitor only 20 stocks and enable the OI monitoring also (20 for stocks + 20 for their OI monitoring .. total 40 `ta.security` call). How? To know the divergence from 5-EMA we just check if the high of the candle (on closing) is below the 5-EMA. Then we check if the closing is inside the Bollinger Band (BB). That's a Buy signal. SL: low of the candle, T: middle and higher BB. Just opposite for selling. 5-EMA low should be above 5-EMA and closing should be inside BB (lesser than BB higher level). That's a Sell signal. SL: high of the candle, T: middle and lower BB. Along with we compare the current bar's volume with the last-20 bar VWMA (volume weighted moving average) to determine if the volume is high or low. Present bar's volume is compared with the previous bar's volume to know if it's rising or falling. VWAP is also determined using `ta.vwap` built-in support of TradingView. The Bolling Band width is also notified, along with whether it is rising or falling (comparing with previous candle). Simple, but effective. Customization As usual the EMA setup (5 default), the BB setup (20 SMA with 1.5 standard deviation), we provided option wherther to include or exclude BB role in the 5-EMA setup (as we found out there are two schools of thought .. some people use BB some don't. Lets make all happy :)) We also provide options to choose other symbols using Settings if they wish so. We have the default 40 non banking Nifty stocks (why non-banking? - Bank Nifty is in ATH :) .. enough :)). But if user wishes can monitor others too (provided the symbol is there in TradingView). Although we strongly recommend the timeframe as 30 minutes , you can choose what's fit you most. The output of the scanner is a table. By default the table is placed in the right-bottom (as we are most comfortable with that). However you can change per your wish. We have the option to choose that. What is unique in it ? This is more of an indicator. This is a scanner (of Nifty-50 stocks). So you can apply (our recommendation is in 30m timeframe) it to any chart (does not matter which chart it is) and it will show every 30 mins (which is also configurable) which all stocks (along with trade levels) to Buy and Sell according to the setup. It will ease your trading activity. You can concentrate only on the execution, the filtering you can leave it to this one. Limitations There is a build in limitation of the TradingView platform is that one can call only upto 40 securities API. Not beyond that. So naturally we are constraint by that. Otherwise we could monitor 190 Nifty F&O stocks itself. 30m is the recommended timeframe. In very lower (say 5m) this script tends to go out of heap (out of memory). Please note that also. How to trade using this? Put any chart in 30m (recommended) timeframe. Apply this screener from Indicators (shortcut to launch indicators is just type / in your keyboard). This will provide the Buy (shown in green color) or Sell (shown in red color) recommendations in a table, at every 30m candle closing. Note the volume and BB width as well. Wait for at least 2 5-minutes candles to close above/below the recommended level . Take the trade with the SL and target mentioned. Mentions @QuantNomad. The whole implementation concept we mercilessly borrowed from him, even some of his code snippet we took it (after asking him through one of his videos comment section and seeking explicit permission which he readily granted within an hour). Thank You sir @QuantNomad. Indebted to you. Monika (Rawat) ji: for reviewing, correcting, providing real time examples during live market hours, often compromising her own trading activities, about the effectiveness and usefulness of this setup. Thank You madam ji. Indebted to you. There are innumerable contents in social media about this. Don't even know whom all we checked. Thanks to all of them. Happy Trading (in stocks - isn't enough of Indices already?) Disclaimer This piece of software does not come up with any warrantee or any rights of not changing it over the future course of time. We are not responsible for any trading/investment decision you are taking out of the outcome of this indicator.
Pine Script™ indicator
by pradipandsuvra
14
MCumulativeDelta* MCumulativeDelta Indicator * The MCumulativeDelta Indicator shows the Buying / Selling pressure that is happening in the market. The Delta is powered by the *MBox Precision Delta* Algorithm. This indicator serves to show overall Accumulation and Distribution of the BUYERS and the SELLERS. It becomes possible to gauge if the market is overall Bullish or Bearish. This helps determine trade direction and keeping out of other trades that are counter to what the overall Buying / Selling is showing. * WHAT THE SCRIPT DOES * The script draws a histogram that can either be positive or negative. When the histogram is positive it means there are more Buyers in the Market. When the histogram is negative it means there are more sellers in the market. The more positive the histogram gets, the more BUYERS are flooding the market. The more negative the histogram gets, the more SELLERS are flooding the market. When the histogram switches over from negative to positive it is a Bullish sign of Buying. When the histogram switches over from positive to negative, it is a Bearish sign of Selling. * HOW TO USE IT * As the histogram becomes more negative, this shows that the SELLERS have taken control of the markets. Conversely, as the histogram becomes more positive, this shows that the Buyers have taken control of the markets. The side that is in control is the direction to generally place trades in, and at the same time filter out trades of the opposite direction. * HOW IT WORKS * The MCumulativeDelta histogram on the chart represents overall Buying / Selling. This is the DELTA (difference) between the BUYING and the SELLING. Taking the total BUYING and subtracting the total of SELLING, we produce the DELTA (difference) between the Buying / Selling and this is what is drawn by the histogram. Unlike other Cumulative Delta indicators which determine delta from the Up / Down wick and just multiply by volume (not a true delta), the MCumulativeDelta indicator uses a sophisticated algorithm that analyzes price movement corresponding to volume movement. The way the DELTA, BUYING, and SELLING is calculated is computed by the *MBox Precision Delta* Algorithm. The algorithm considers the following data points when making it's computation 1. Price moving up on increasing volume 2. Price moving up on decreasing volume 3. Price moving horizontally on increasing volume 4. Price moving horizontally on decreasing volume 5. Price moving down on increasing volume 6. Price moving down on decreasing volume Using these data points allows MCumulativeDelta to effectively compute and define the following scenarios 1. Accumulation / Distribution 2. Buying / Selling Exhaustion 3. Buying / Selling EFFORT / NO RESULT Once the scenario is determined, it will greatly aid in trade decision making. These scenarios are explained in the examples below * EXAMPLE AND USE CASES * - Accumulation Example - When you see a large amount of BUYING (large positive histogram) and price entering an up trend, this is indicative of Accumulation and you would be looking for PULLBACKS to get into the up trend move. - Distribution Example - When you see a large amount of SELLING (large negative histogram) and price entering a down trend, this is indicative of Distribution and you would be looking for pullbacks to get into the down trend move. - Buying EXHAUSTION Divergence - As price makes higher highs, but the MCumulativeDelta histogram drops (becomes less positive) on the higher highs, it means BUYERS are exhausted. Potentially a reversal or change in behavior in the markets. - Selling EXHAUSTION Divergence - As price makes lower lows, but the MCumulativeDelta histogram contracts (becomes less negative) on the lower lows, it means SELLERS are exhausted. Potentially a reversal or change in behavior in the markets. - BUYING EFFORT / NO RESULT - As the MCumulativeDelta histogram increases positively, but price fails to make higher highs, it is a sign of EFFORT / NO RESULT on behalf of the Buyers. In this case Buyers are pushing hard to move price up, but are unable to, due to being OVERBOUGHT. If this is accompanied by visible SELLING, it would be a good short entry. - SELLING EFFORT / NO RESULT - As the MCumulativeDelta histogram increases negatively, but price fails to make lower lows, it is a sign of EFFORT / NO RESULT on behalf of the Sellers. In this case Sellers are pushing hard to move price down, but are unable to, due to being OVERSOLD. If this is accompanied by visible BUYING, it would be a good long entry. * SETTING ALERTS * - FOR CROSSING FROM BUYING TO SELLING OR SELLING TO BUYING - To be alerted when the histogram crosses over from Buying to Selling (Positive to Negative) or Selling to Buying (Negative to Positive) 1. Right Click Chart -> Add Alert... 2. Select Condition to be "MCumulativeDelta" 3. Select "Crossing" with Value = 0 4. Options set "Once Per Bar Close" 5. Customize Any other Alert Options you want * AUTHOR * This script is published by MBoxWave LLC
Pine Script™ indicator
by mboxwave
High Volume Candles Detector - Open Source CodeGreetings, fellow traders! Throughout my trading career, I've been intrigued by the dynamic interplay between candlestick patterns and trading volume. This fascination led me to develop an open-source indicator to help illuminate these patterns for the broader trading community. Upon researching the Public Library, I found that many indicators relating to candlestick/volume analysis are proprietary and not open-source. This discovery further fueled my commitment to contribute a free, accessible tool that traders of all levels can utilize in their technical analysis. Thus, I am excited to present to you our High Volume Bars Indicator. A unique tool that I believe fills a gap in the Public Library. I truly hope you find it beneficial in your trading journey and that it empowers you to make more informed decisions. Description: The High Volume Bars Detector is designed to help traders identify bars with significantly higher volume than the average. Users can filter in the settings menu: 1) The length of the Simple Moving Average (SMA) for volume, allowing you to define the average volume over a specific number of bars. 2) The Volume Multiplier, a factor that determines how much greater the volume of a bar should be compared to the SMA to qualify as a high-volume bar. 3) The Lookback Period, a specified number of candles used as a comparative benchmark for identifying the highest volume. 4) If the Volume bar is green or red, so if the candle price is --> close > open or open > close Examples to better understand the logic of the indicator: 1) Length of the Simple Moving Average (SMA) for Volume: This setting allows you to define the average volume over a specific number of bars. For instance, if you set the SMA length to 20, the indicator will calculate the average volume of the past 20 bars and use it as a baseline to identify high volume bars. 2) Volume Multiplier: This is a critical factor that determines the threshold for what constitutes a high-volume bar. If you set the volume multiplier to 2.0, for example, the indicator will flag any bar where the volume is twice the value of the SMA volume as a high-volume bar. 3) Lookback Period: This setting lets you specify the number of candles that the indicator should consider when determining the highest volume. For instance, if the lookback period is set to 14, the indicator will compare the volume of the current bar with the volumes of the previous 14 bars. If the current bar's volume is the highest, it will be flagged. 4) Volume Bar Color: This filter helps you identify whether a high-volume bar is bullish or bearish. If the bar is green (close > open), it suggests buyers were dominant during that period. If the bar is red (open > close), it suggests sellers had the upper hand. By setting this filter, you can choose to focus on high volume bars that are either bullish (green) or bearish (red) or both, depending on your trading strategy. Remember, these filters offer a level of customization that allows you to tailor the High Volume Bars Detector to your unique trading style and requirements. Always remember to adapt these settings to align with your overall trading plan and risk tolerance. Keep attention! It is important to note that no trading indicator or strategy is foolproof, and there is always a risk of losses in trading. While this indicator may provide useful information for making conclusions, it should not be used as the sole basis for making trading decisions. Traders should always use proper risk management techniques and consider multiple factors when making trading decisions. Support me:) If you find this new indicator helpful in your trading analysis, I would greatly appreciate your support! Please consider giving it a like, leaving feedback, or sharing it with your trading network. Your engagement will not only help me improve this tool but will also help other traders discover it and benefit from its features. Thank you for your support!
Pine Script™ indicator
by Trading_Paradise
11
Volume Breakout by Chosen VolumeDescription: The Volume Breakout indicator (VB) is a technical analysis tool that highlights candles with significant trading volume. It helps traders identify potential breakout periods characterized by high volume activity. How it Works: The Volume Breakout indicator compares the volume of each candle with a user-defined minimum volume threshold. If the volume of a candle exceeds or is equal to the specified minimum volume requirement, the indicator identifies it as a volume breakout and marks it accordingly. Usage: To effectively utilize the Volume Breakout indicator, follow these steps: 1. Apply the VB indicator to your chart by adding it from the available indicators. 2. Customize the minimum required volume parameter according to your trading preferences. This parameter determines the threshold volume level that a candle must meet or exceed to be considered a breakout candidate. 3. Observe the candles on the chart: - Candles that meet or exceed the minimum required volume are highlighted with a specific color (yellow by default), indicating potential breakout periods. 4. Pay attention to the volume breakout indications within the candles, as they suggest periods of increased trading activity. 5. Analyze the price action accompanying the volume breakout candles. Breakouts often indicate a surge in buying or selling pressure, potentially leading to significant price moves or trend reversals. 6. Combine the analysis of volume breakout candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups. 7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Pine Script™ indicator
by maybethatguy
1
High Volume Candles by Time PeriodDescription: The High Volume Candles indicator (HVC) is a technical analysis tool designed to identify candles with high trading volume. It allows traders to quickly spot periods of significant market activity based on volume. How it Works: The HVC indicator analyzes the volume of each candle in relation to the highest volume observed over a specified lookback period. The indicator compares the current volume with the highest volume within the defined lookback period and identifies candles that have volume equal to or greater than this threshold. It then distinguishes between bullish and bearish candles and assigns custom colors to highlight these high volume occurrences. Usage: To effectively utilize the High Volume Candles indicator, follow these steps: 1. Apply the HVC indicator to your chart by adding it from the available indicators. 2. Customize the lookback period according to your trading preferences. This parameter determines the number of previous candles to consider when calculating the highest volume. 3. Observe the candles on the chart: - Bullish candles (blue by default) indicate periods of high volume when the closing price is higher than the opening price. - Bearish candles (yellow by default) indicate periods of high volume when the closing price is lower than the opening price. 4. Pay attention to the color-coded volume indications within the candles, which highlight periods of high trading activity. 5. Analyze the volume patterns in conjunction with price action to identify potential trading opportunities. High volume candles often indicate increased market participation and can suggest significant price moves or reversals. 6. Combine the analysis of high volume candles with other technical analysis tools, such as trend lines, support and resistance levels, or indicators, to confirm potential trade setups. 7. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
Pine Script™ indicator
by maybethatguy
VWAP Xing D, Prv.D, W, Q, M, & Y + SD [UOI]Introducing the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" Indicator: A Comprehensive, Multi-Timeframe Trading Tool for the Modern Trader In today's dynamic and fast-paced financial markets, traders require versatile and powerful tools that can help them navigate the complex world of trading. The "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator is designed to be the ultimate, all-in-one solution for traders seeking a comprehensive and robust trading indicator. This cutting-edge tool combines the power of an extensive VWAP library with the versatility of Bollinger Bands, Donchian Channels, standard deviation multi-timeframe analysis, and an auto boxed range identifier, all to provide traders with the crucial insights needed to identify reversals, breakdowns, and breakups. Offering the magnetic daily, previous day, weekly, monthly, quarterly, and even yearly VWAP levels, this comprehensive library caters to traders with varying time horizons and strategies. Coupled with the precision of Bollinger Bands and Donchian Channels, the indicator allows for accurate tracking of price volatility, enabling traders to make more informed decisions in response to changing market conditions. The integration of multi-timeframe standard deviation analysis further bolsters the indicator's ability to identify potential trading opportunities, ensuring that users can stay ahead of the curve. Finally, the auto boxed range identifier serves as the cherry on top, automatically detecting critical price levels where reversals, breakdowns, and breakups are most likely to occur. This powerful feature not only helps traders confirm potential entry and exit points but also allows for more effective risk management. Overall, the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator is a comprehensive, multi-timeframe trading tool that empowers traders with unparalleled insights, precision, and adaptability. Whether you're a seasoned professional or a novice trader, this powerful indicator is a must-have tool for anyone looking to excel in today's competitive financial markets. Multi-timeframe Volume Weighted Average First let's define Volume Weighted Average Price (VWAP): Volume Weighted Average Price (VWAP) is a widely-used technical analysis indicator that calculates the average price of a security, taking into account both price and trading volume. In essence, it represents the average price at which a security has been traded throughout a specified time period, giving more weight to transactions with higher volume. The VWAP is often used by traders and investors to assess the market's trend and gauge the relative value of a security. It serves as a benchmark for institutional investors, who often use it to evaluate their trading performance and determine whether they are buying or selling at favorable prices. The formula for calculating VWAP is: VWAP = (Sum of (Price * Volume)) / Total Volume By incorporating volume into the calculation, the VWAP provides a more accurate representation of a security's true average price, as it takes into consideration the impact of larger trades on the price. This makes it a valuable tool for traders seeking to make more informed decisions in the market and avoid getting caught in unfavorable trading positions. VWAP is a crucial indicator that provides insights into the average price at which a financial asset, such as a stock or cryptocurrency, has been traded throughout a specific period. It takes into consideration the volume of trades executed at each price level during that period. The VWAP lines included in the " VWAP Xing D, Prv. D, W, Q, M, & Y" indicator offer various timeframe perspectives, allowing traders to analyze different levels of market trends and behaviors. Here's a detailed explanation of the VWAP lines and their significance: 1. Daily VWAP (D): The daily VWAP line represents the average price at which the asset has been traded throughout the current trading day. It resets at the beginning of each trading session. Traders often use the daily VWAP as a reference point to gauge the fairness of their trade executions relative to the prevailing market prices. Price deviations from the daily VWAP can indicate shifts in market sentiment and potential trading opportunities. 2. Previous Day VWAP (Prv.D): The previous day VWAP line reflects the average price at which the asset was traded during the preceding trading day. It helps traders assess the continuity or deviation of the current day's price action relative to the previous day's trading activity. Traders often observe the previous day VWAP for insights into potential support or resistance levels and to identify whether the current day's price is trading above or below the previous day's average price. 3. Weekly VWAP (W): The weekly VWAP line calculates the average price of the asset over the entire week, taking into account the volume traded at each price level. Traders use the weekly VWAP to gain a broader perspective on the asset's price movement and potential trend directions. It can act as a significant support or resistance level, especially when the price interacts with the weekly VWAP. 4. Monthly VWAP (M): The monthly VWAP line provides a longer-term perspective by averaging the asset's price and volume data over the entire month. It helps traders identify key price levels that are significant within the monthly timeframe. Traders often observe the monthly VWAP to assess the overall trend and to determine whether the current price is trading above or below the monthly average. 5. Quarterly VWAP (Q): The quarterly VWAP line calculates the average price and volume data over a three-month period, representing a longer-term view of market activity. Traders use the quarterly VWAP to identify significant price levels and to analyze the broader trend within the quarterly timeframe. Deviations from the quarterly VWAP can indicate potential shifts in market sentiment and trading opportunities. 6. Yearly VWAP (Y): The yearly VWAP line represents the average price and volume data over the course of a year. It offers a comprehensive long-term perspective on the asset's price behavior and trend. Traders often consider the yearly VWAP as a key reference point for assessing the asset's overall performance and identifying major support or resistance levels. By observing the VWAP lines, traders can gain insights into the prevailing market sentiment, potential support or resistance levels, and deviations from average prices. These deviations can be useful for identifying potential trading opportunities, such as when the price significantly deviates from the VWAP lines, suggesting potential overbought or oversold conditions. Additionally, VWAP can serve as a benchmark for evaluating trade executions and assessing the fair value of an asset. It's important to note that while VWAP is a valuable tool, it should be used in conjunction with other technical analysis indicators and strategies to make informed trading decisions. Traders should consider factors like market context, trend analysis, and risk management principles to validate signals and confirm potential trading opportunities. Bollinger Bands and Donchian Channels In addition to VWAP this indicator also has combined the power of Bollinger Bands and Donchian Channels to produce a solid framework. The time frame by default is set to 30 min which is good for intraday trading but you can also change that in the setting to always use chart time frame intervals which works better on longer time frames. IMPORTANT: You can change the time frame to always use chart or keep the default on 30 min or change it to another timeframe manually. If you allow the chart to always provide the intervals then the default 30 min will be ineffective and it automatically adjust to chart timeframe. Personally I think a fixed timeframe work better so keep in that way if you trade on 30 min or lower time frame. Bollinger Bands and Donchian Channels are two popular technical analysis tools that provide valuable insights into price volatility, potential breakout levels, and support/resistance areas. When used in combination, they offer a comprehensive framework for analyzing market conditions and identifying trading opportunities. Bollinger Bands: Bollinger Bands consist of two lines plotted above and below a moving average, typically a simple moving average (SMA). The upper band is calculated by adding the standard deviation of price multiplied by a customizable standard deviation factor to the SMA. The lower band is calculated by subtracting the standard deviation multiplied by the same factor from the SMA. The key features of Bollinger Bands are as follows: 1. Volatility Measurement: Bollinger Bands expand and contract based on market volatility. When the bands widen, it indicates higher volatility, and when they narrow, it suggests lower volatility. Traders can observe the width of the bands to gauge the potential for price movements and volatility expansions. 2. Overbought/Oversold Levels: Bollinger Bands can help identify overbought and oversold conditions in the market. When the price reaches or exceeds the upper band, it may indicate that the asset is overbought and due for a potential reversal or pullback. Conversely, when the price reaches or falls below the lower band, it may suggest oversold conditions and a possible bounce or reversal. Donchian Channels: Donchian Channels consist of two lines representing the highest high and lowest low within a specified period. The key characteristics of Donchian Channels are as follows: 1. Breakout Levels: The upper line of the Donchian Channel represents the highest high within the specified period, while the lower line represents the lowest low. Traders often use Donchian Channels to identify potential breakout levels. When the price breaks above the upper channel line, it may indicate a bullish breakout and the potential for further upward momentum. Conversely, a break below the lower channel line suggests a bearish breakout and the possibility of downward momentum. 2. Support/Resistance Areas: Donchian Channels also act as dynamic support and resistance levels. The upper channel line can act as a resistance level where the price may encounter selling pressure. The lower channel line can act as a support level where the price may find buying interest. Traders can monitor price interactions with these levels to make informed trading decisions. Advantages of Using Bollinger Bands and Donchian Channels Together: By combining Bollinger Bands and Donchian Channels, traders can gain a more comprehensive view of market conditions and potential trading opportunities. Here are some advantages of using them together: 1. Volatility Confirmation: Bollinger Bands help identify periods of high or low volatility, while Donchian Channels confirm breakouts and potential trend changes. When the bands widen and a breakout occurs above or below the Donchian Channels, it can provide confirmation of increased volatility and the start of a new trend. 2. Price Extremes and Breakouts: Bollinger Bands assist in identifying overbought and oversold conditions, while Donchian Channels help pinpoint breakout levels. When price reaches an extreme level according to Bollinger Bands and coincides with a breakout from the Donchian Channels, it can signal a significant trading opportunity. 3. Support/Resistance Validation: Donchian Channels act as dynamic support and resistance levels, and Bollinger Bands can validate these levels. When price bounces off the upper or lower Bollinger Band near a Donchian Channel level, it provides additional confirmation of the support or resistance area. 4. Risk Management: The combination of Bollinger Bands and Donchian Channels enables traders to set more precise stop-loss levels and define risk. They can place stop-loss orders beyond the support or resistance levels identified. Standard Deviation Standard deviation bands by default are disabled but you can easily enable them in the setting. The 1 standard deviation bands are made invisible by default to avoid a crowded space. You can reduce the transparency to view them. In intraday trading, the Daily VWAP (Volume Weighted Average Price) with 3 standard deviations is a powerful tool that helps traders gauge price movements and potential trading opportunities. Here's how it works and why it is useful: 1. Calculation of Daily VWAP: The Daily VWAP is the average price at which a security has traded throughout the trading day, weighted by the volume of each trade. It provides a measure of the average price that traders have paid for the asset during the day. 2. Standard Deviation: Standard deviation is a statistical measure that quantifies the dispersion or variability of prices around the Daily VWAP. It gives an indication of how much prices deviate from the average. A higher standard deviation suggests greater price volatility. 3. Three Standard Deviations: By adding and subtracting three times the standard deviation from the Daily VWAP, you create bands that represent the potential price range within which the majority of intraday trading activity is expected to occur. These bands act as potential support and resistance levels and help traders identify price extremes. 4. Price Reversals: When the intraday price extends beyond the upper or lower band (three standard deviations), it suggests an overextended move or potential price reversal. Traders interpret this as an opportunity to enter or exit trades. If the price moves beyond the upper band, it may indicate overbought conditions and a possible reversal to the downside. Conversely, if the price moves below the lower band, it may signal oversold conditions and a potential reversal to the upside. 5. Volatility and Breakouts: Intraday traders often look for volatility and breakout opportunities. The three standard deviation bands on the Daily VWAP provide valuable information about price volatility. When the price breaks out of the bands, it suggests a significant increase in volatility and potential opportunities for intraday traders to take advantage of strong momentum moves. 6. Risk Management: The three standard deviation bands help traders define their risk and set stop-loss orders. By placing stop-loss orders outside the bands, traders can protect their positions in case the price moves beyond the expected range. This risk management technique allows traders to limit their potential losses and preserve capital. 7. Confirmation with Other Indicators: Intraday traders often use the three standard deviation bands on the Daily VWAP in conjunction with other technical indicators or chart patterns to strengthen their trading decisions. The bands can validate other signals or provide additional confirmation before entering or exiting a trade. Overall, the Daily VWAP with three standard deviations is a valuable tool for intraday traders as it helps identify price extremes, potential reversals, volatility, and breakout opportunities. By incorporating this indicator into their trading strategies, traders can make more informed decisions and enhance their intraday trading performance. Auto Boxed Range Detector The true innovation in the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator lies in the integration of the sophisticated 'Auto Boxed Range Detector.' This feature serves as the cornerstone of the tool's enhanced functionality, shedding light on critical price ranges to give traders a distinct advantage when identifying potential breakouts or breakdowns. Meticulously designed with the needs of traders in mind, the Auto Boxed Range Detector automates the process of pinpointing trading ranges, resulting in increased precision and swiftness in your decision-making. By automating this crucial aspect of technical analysis, traders can now focus on other essential factors, ultimately maximizing their trading efficiency. Furthermore, the Auto Boxed Range Detector helps traders avoid falling prey to false breakouts. By identifying the top of the boxed range in relation to resistance levels, users can more accurately predict the likelihood of a breakout. For instance, if the top of the boxed range is situated near a resistance line, the chances of a breakout are diminished unless the market is experiencing a trend day. In essence, the Auto Boxed Range Detector not only streamlines the identification of trading ranges but also provides invaluable insights into the validity of potential breakouts or breakdowns. This innovative feature makes the "VWAP Xing D, Prv.D, W, Q, M, & Y + SD" indicator an indispensable tool for traders seeking to capitalize on opportunities while minimizing risk in today's fast-paced financial markets. Once you get used to this tool it will be an integral part of your trading.
Pine Script™ indicator
by uoi2020
149
Volume Tick ExperimentThis ticks-based indicator provides real-time volume information for a trading asset. Volume is analyzed and updated continuously, not just at candle close. It is based on DGT's Bull vs Bear Power indicator but adds a gas signal that activates when buying or selling volume percentage reaches a predetermined threshold. This indicator can also help traders determine the direction and aggressiveness of pushes in buying or selling volume. By monitoring the volume percentages and gas signals, traders can get an idea of whether the market is pushing in a particular direction and how strong the push is. This information can be helpful in making trading decisions and identifying potential entry or exit points. The indicator uses open, high, low, and close prices of the asset to calculate volume information. It determines the average volume over a selected period and calculates volume for both buying and selling. This information is used to calculate the percentage of buying and selling volume. A gas signal is triggered when either the buying or selling percentage reaches a predetermined threshold. Enjoy!
Pine Script™ indicator
by farkasszilard
10
Volume Channel - [With Volume Filter]The indicator calculates two volume-weighted moving averages (VWMA) using different lengths, and filters them based on a moving average of volume. The filtered VWMA values are then plotted on the chart as lines, representing the fast and slow moving averages. In addition, upper and lower bands are calculated based on the slow VWMA and plotted as lines on the chart. The fast and slow VWMA lines can be used to identify trends in the market. When the fast VWMA is above the slow VWMA, it is an indication of an uptrend, and when the fast VWMA is below the slow VWMA, it is an indication of a downtrend. The position of the VWMA lines relative to the upper and lower bands can also be used to identify potential trade signals. When the price is near the upper band, it indicates that the market is overbought, and when the price is near the lower band, it indicates that the market is oversold. Traders can use these signals to enter or exit trades. The indicator also includes a volume filter, which means that the VWMA values are only calculated when the volume is above a certain moving average of volume. This helps to filter out noise in the market and provide more accurate signals. Explanation for each parameter vwmaLength1: This is the length of the fast volume-weighted moving average (VWMA) used in the calculation. The default value is 10, and it can be adjusted by the user. vwmaLength2: This is the length of the slow volume-weighted moving average (VWMA) used in the calculation. The default value is 25, and it can be adjusted by the user. bandLength: This is the length of the moving average used to calculate the upper and lower bands. The default value is 34, and it is not adjustable by the user. volumeFilterLength: This is the length of the moving average of volume used as a filter for the VWMA calculation. The default value is 5, and it can be adjusted by the user. src: This is the input source for the VWMA calculation. The default value is close, which means the indicator is using the closing price of each bar. However, the user can select a different input source by changing this parameter. filteredVwma1: This is the filtered VWMA calculated based on the volume filter and the fast VWMA length. It is plotted as a line on the chart and can be used to identify short-term trends. filteredVwma2: This is the filtered VWMA calculated based on the volume filter and the slow VWMA length. It is plotted as a line on the chart and can be used to identify long-term trends. ma: This is the moving average of the filtered slow VWMA values, which is used to calculate the upper and lower bands. It is plotted as a line on the chart. offs: This is the offset used to calculate the upper and lower bands. It is based on the standard deviation of the filtered slow VWMA values and is multiplied by 1.6185 * 3. It is plotted as a line on the chart. up: This is the upper band calculated as the moving average plus the offset. It is plotted as a line on the chart and can be used to identify overbought conditions. dn: This is the lower band calculated as the moving average minus the offset. It is plotted as a line on the chart and can be used to identify oversold conditions.
Pine Script™ indicator
by IkkeOmar
Z-Score(Slope(OBV(LBC)))Summary : Market price is simply a dance of liquidity to the specific market. tl;dr: "Cash come-in, market moon; Cash go-out, market doom" In Simple Language : Large changes in the money flow to an asset often mark local price extremia. Academic paper: Title: Z-Score(Slope(OBV)): An Efficient Indicator for Identifying Local Extremes in Asset Prices Abstract: This paper presents a novel trading indicator, Z-Score(Slope(OBV)), that aims to predict local extremes in asset prices by analyzing the patterns of money flow. The indicator is constructed using the Z-score of the slope of the On Balance Volume (OBV). Hypothesis: The price levels at which the money flows into and out of an asset often mark local extremes. This notion underpins our exploration of the Z-Score(Slope(OBV)) indicator's potential in identifying these critical points. 1. On Balance Volume (OBV): The OBV is a momentum indicator that leverages the volume flow to forecast potential changes in asset prices. It operates on the premise that changes in volume often presage shifts in price. The OBV algorithm adds a period's volume to the cumulative total when the closing price is up and subtracts it when the closing price is down. Therefore, an ascending OBV suggests positive volume pressure, potentially heralding higher prices, while a declining OBV signifies negative volume pressure, possibly indicating lower prices. 2. Slope: In this context, the slope represents the rate of change of the OBV. It is a measure of the rise-over-run for a linear regression line through the OBV data points. By evaluating the slope of the OBV, we can extract valuable insights into the momentum of the volume. A positive slope indicates increasing volume momentum, suggesting growing interest in the asset, while a negative slope implies declining volume momentum, potentially reflecting dwindling interest. 3. Z-Score: The Z-score is a statistical measure that delineates a data point's relationship to the mean of a group of values, expressed in terms of standard deviations from the mean. For instance, a Z-score of 0 reveals that the data point's score aligns with the mean score. Positive Z-scores indicate values higher than the mean, and negative Z-scores represent values lower than the mean. Applying the Z-score to the slope of the OBV allows us to comprehend the degree of deviation of the current OBV slope from its historical mean. A Z-score of 1 suggests that the OBV's slope is one standard deviation from the mean, which implies that the slope is within the range of values where approximately 68% (not 67%) of all values lie. A Z-score of 2 implies that the slope is two standard deviations from the mean, thus within the range where roughly 95% of all values lie. A Z-score of 3 indicates that the slope is three standard deviations from the mean, putting it within the range where about 99.7% of all values lie. Z-scores of 4 and 5 and beyond are increasingly rare and represent extreme values. 4. The Z-Score(Slope(OBV)) Indicator and Line Break Chart Synergy: The Z-Score(Slope(OBV)) indicator's efficiency is further amplified when visualized using a Line Break chart. This chart type disregards time, concentrating solely on price changes, thus providing a clear visualization of market trends. When combined with the Line Break chart, the Z-Score(Slope(OBV(LBC))) indicator can help traders identify trend shifts more accurately and promptly, reinforcing the hypothesis that price levels where money flows into and out of an asset often mark local extremes. In summary, the Z-Score(Slope(OBV)) indicator, combining volume, momentum, and statistical analysis, provides a robust tool for traders to predict local extremes in asset prices. Regarding Implementation: - This is implemented using Pinescript V5 - Uses inbuilt ta module - Very effective and simple and efficient computation in 30 lines of code
Pine Script™ indicator
by xTako
1