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Dynamic Liquidity Map [Kioseff Trading]Hello! Just a quick/fun project here: "Dynamic Heatmap". This script draws a volume delta or open interest delta heatmap for the asset on your chart. The adjective "Dynamic" is used for two reasons (: 1: Self-Adjusting Lower Timeframe Data The script requests ~10 lower timeframe volume and open interest data sets. When using the fixed range feature the script will, beginning at the start time, check the ~10 requested lower timeframes to see which of the lower timeframes has available data. The script will always use the lowest timeframe available during the calculation period. As time continues, the script will continue to check if new lower timeframe data (lower than the currently used lowest timeframe) is available. This process repeats until bar time is close enough to the current time that 1-minute data can be retrieved. The image above exemplifies the process. Incrementally lower timeframe data will be used as it becomes available. 1: Fixed range capabilities The script features a "fixed range" tool, where you can manually set a start time (or drag & drop a bar on the chart) to determine the interval the heatmap covers. From the start date, the script will calculate the calculate the sub-intervals necessary to draw a rows x columns heatmap. Consequently, setting the start time further back will draw a heat map with larger rows x columns, whereas, a start time closer to the current bar time will draw a more "precise" heatmap with smaller rows x columns. Additionally, the heatmap can be calculated using open interest data. The image above shows the heatmap displaying open interest delta. The image above shows alternative settings for the heatmap. Delta values have been hidden alongside grid border colors. These settings can be replicated to achieve a more "traditional" feel for the heatmap. Thanks for checking this out!
Pine Script® indicator
by KioseffTrading
17
Volume SuperTrend AI (Expo)█ Overview The Volume SuperTrend AI is an advanced technical indicator used to predict trends in price movements by utilizing a combination of traditional SuperTrend calculation and AI techniques, particularly the k-nearest neighbors (KNN) algorithm. The Volume SuperTrend AI is designed to provide traders with insights into potential market trends, using both volume-weighted moving averages (VWMA) and the k-nearest neighbors (KNN) algorithm. By combining these approaches, the indicator aims to offer more precise predictions of price trends, offering bullish and bearish signals. █ How It Works Volume Analysis: By utilizing volume-weighted moving averages (VWMA), the Volume SuperTrend AI emphasizes the importance of trading volume in the trend direction, allowing it to respond more accurately to market dynamics. Artificial Intelligence Integration - k-Nearest Neighbors (k-NN) Algorithm: The k-NN algorithm is employed to intelligently examine historical data points, measuring distances between current parameters and previous data. The nearest neighbors are utilized to create predictive modeling, thus adapting to intricate market patterns. █ How to use Trend Identification The Volume SuperTrend AI indicator considers not only price movement but also trading volume, introducing an extra dimension to trend analysis. By integrating volume data, the indicator offers a more nuanced and robust understanding of market trends. When trends are supported by high trading volumes, they tend to be more stable and reliable. In practice, a green line displayed beneath the price typically suggests an upward trend, reflecting a bullish market sentiment. Conversely, a red line positioned above the price signals a downward trend, indicative of bearish conditions. Trend Continuation signals The AI algorithm is the fundamental component in the coloring of the Volume SuperTrend. This integration serves as a means of predicting the trend while preserving the inherent characteristics of the SuperTrend. By maintaining these essential features, the AI-enhanced Volume SuperTrend allows traders to more accurately identify and capitalize on trend continuation signals. TrailingStop The Volume SuperTrend AI indicator serves as a dynamic trailing stop loss, adjusting with both price movement and trading volume. This approach protects profits while allowing the trade room to grow, taking into account volume for a more nuanced response to market changes. █ Settings AI Settings: Neighbors (k): This setting controls the number of nearest neighbors to consider in the k-Nearest Neighbors (k-NN) algorithm. By adjusting this parameter, you can directly influence the sensitivity of the model to local fluctuations in the data. A lower value of k may lead to predictions that closely follow short-term trends but may be prone to noise. A higher value of k can provide more stable predictions, considering the broader context of market trends, but might lag in responsiveness. Data (n): This setting refers to the number of data points to consider in the model. It allows the user to define the size of the dataset that will be analyzed. A larger value of n may provide more comprehensive insights by considering a wider historical context but can increase computational complexity. A smaller value of n focuses on more recent data, possibly providing quicker insights but might overlook longer-term trends. AI Trend Settings: Price Trend & Prediction Trend: These settings allow you to adjust the lengths of the weighted moving averages that are used to calculate both the price trend and the prediction trend. Shorter lengths make the trends more responsive to recent price changes, capturing quick market movements. Longer lengths smooth out the trends, filtering out noise, and highlighting more persistent market directions. AI Trend Signals: This toggle option enables or disables the trend signals generated by the AI. Activating this function may assist traders in identifying key trend shifts and opportunities for entry or exit. Disabling it may be preferred when focusing on other aspects of the analysis. Super Trend Settings: Length: This setting determines the length of the SuperTrend, affecting how it reacts to price changes. A shorter length will produce a more sensitive SuperTrend, reacting quickly to price fluctuations. A longer length will create a smoother SuperTrend, reducing false alarms but potentially lagging behind real market changes. Factor: This parameter is the multiplier for the Average True Range (ATR) in SuperTrend calculation. By adjusting the factor, you can control the distance of the SuperTrend from the price. A higher factor makes the SuperTrend further from the price, giving more room for price movement but possibly missing shorter-term signals. A lower factor brings the SuperTrend closer to the price, making it more reactive but possibly more prone to false signals. Moving Average Source: This setting lets you choose the type of moving average used for the SuperTrend calculation, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), etc. Different types of moving averages provide various characteristics to the SuperTrend, enabling customization to align with individual trading strategies and market conditions. ----------------- 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
74
AlpHay : ToolKitToolKit: First Impressions for Securities; (like crime scene investigators) 🧐 Our first job is to understand "What did happen here?" (historically, like Price Ranges or Price Performances) 🤔 Secondly, we try to figure out "where are we now?" (like common indicators or Moving Averages) 🤔 Then "What was the chain of events?" (macro, local, fundamentals, shorts, etc.) Note: There are a lot of useful scripts out there, but If you want to see my approach for "Fundamentals" or "Finra Short Report" scripts, have a look. Now we have a Clue. 😎 Includes; 1. Daily Metrics (Price performance, Price Difference, Volume, Trade) 2. Historic Price Performances 3. Historic Price ranges 4. RSI and MACD (you can change) Indicators for four "Time Frame" (you can change also) 5. Moving Averages (also shows daily values on the chart) * Easy to customize. * You can be positioned where ever you need. (be careful about overlays) * You can turn on/off tables for your daily usage. * You can flip Horizontally for some of the tables. * Always look at tooltips (mouse over for Averages etc.) I hope you enjoy it. Disclaimer and Warning! * Do not forget this is my Interpolation of the data sets. You can't invest in relying on this indicator. This is just a visual representation of the data sets. * Just be careful what you wish for. And search for anomalies. // ToDO List. * Pre/Post Market Price and Volume
Pine Script® indicator
by AlpHay
Exceptional Volume Spike - Potential Trend Reversal IndicatorWhat the Script Does: The indicator aims to identify potential trend reversal points using the following steps: Input Parameters: The script has three main input parameters that you can adjust: relative_volume_threshold: This parameter sets the threshold for what is considered an exceptional volume spike in relation to the average volume. ema_length: The length of the exponential moving average (EMA) used for smoothing calculations. lookback_period: The period over which the script calculates potential support and resistance levels. Relative Volume Calculation: The script calculates the relative volume by dividing the current volume by the average volume over the specified lookback_period. Exceptional Volume Spikes: The script identifies exceptional volume spikes when the calculated relative volume exceeds the specified relative_volume_threshold. EMA of Exceptional Volume Spikes: The script calculates the exponential moving average (EMA) of volume spikes. This EMA smooths out the volume spikes over the chosen ema_length. Trend Direction: The script determines the trend direction using the crossovers of the EMA of exceptional volume spikes. If the EMA crosses above the EMA of regular volume (not spikes), it suggests a potential upward trend reversal. Conversely, if the EMA crosses below, it suggests a potential downward trend reversal. Support and Resistance Levels: The script calculates potential support and resistance levels based on the highest high (hh) and lowest low (ll) over the specified lookback_period. These levels are then plotted on the chart. Plot Shapes and EMA: The script plots triangle shapes below the bars for potential upward reversals and above the bars for potential downward reversals. Additionally, it plots the EMA of the closing price with different colors based on the trend direction. By using this script as an indicator on your chart, you can visually assess potential trend reversal points based on exceptional volume spikes, trend direction crossovers, and support/resistance levels. Remember that this script serves as a tool to assist your analysis, and it's important to combine it with other technical analysis tools and strategies before making trading decisions.
Pine Script® indicator
by Tradager
1
Fibo Levels with Volume Profile and Targets [ChartPrime]The Fib Levels With Volume Profile and Targets (FIVP) is a trading tool designed to provide traders with a unique understanding of price movement and trading volume through the lens of Fibonacci levels. This dynamic indicator merges the concepts of Fibonacci retracement levels with trading volume analytics to offer predictive insights into potential price trajectories. Features: 1. Fibonacci Levels: The FPI showcases three prominent Fibonacci levels on both sides of the current price, offering an intricate picture of potential support and resistance levels. 2. Support and Resistance Recognition: Harnessing the power of Fibonacci levels, the FPI provides traders with potential areas of support and resistance, aiding in informed decision-making for entries, exits, and stop placements. 3. Customizable Timeframe Settings: In order to cater to different trading strategies and styles, users can manually select their preferred timeframe for the Fibonacci calculations, ensuring optimal relevance and accuracy for their trading approach. 4. Volume Analytics: One of the standout features of the FIVP is its ability to calculate trading volume for every bar that is sandwiched between the top and lower Fibonacci levels. This ensures traders have a clear vision of where the majority of trading activity is occurring, lending weight to the credibility of the displayed support and resistance zones. 5. Volume-Derived Price Targeting: The Possible Target Arrow function is an innovative feature. By analyzing and comparing the trading volume in the bearish and bullish zones, it provides an arrow indicating the potential direction the market might take. If the bull volume surpasses the bear volume, the market is likely skewing bullish and vice versa. Usage Ideal for both novice and seasoned traders, the FPI offers a rich tapestry of information. It allows for refined technical analysis, more precise entries and exits, and a holistic view of the interplay between price and trading volume. Whether you're scalping, day trading, or swing trading, the Fibonacci Profile Indicator is designed to enhance your trading strategy, providing a comprehensive perspective of the market's potential movements.
Pine Script® indicator
by ChartPrime
40
OBV Oscillator Volume FilterOBV Oscillator Volume Filter Introduction The On-Balance Volume (OBV) is a widely-used technical indicator that aims to relate price and volume in trading. Price and volume are two of the most basic and yet crucial concepts in price movement. Together, they can reveal a lot about the instruments trends and the market's sentiment. This On Balance Volume (OBV) Oscillator incorporates enhanced features like a volume filter using a rolling window to detect outliers in accumulated volume, making it an advanced and more refined version of the standard OBV. Interpreting the OBV Indicator The primary function of the OBV is to accumulate volume. In simpler terms: When the market closes higher than the previous candle, all of that candle's volume is considered 'up-volume'. Conversely, when the market closes lower than the previous day, all of that candle's volume is considered 'down-volume'. A rising OBV suggests that volume is being accumulated, indicating bullish market sentiment. A declining OBV, on the other hand, points to a bearish sentiment. Features of the Script 1. Moving Averages Selection: The script provides users with the option to select among six types of moving averages (EMA, DEMA, TEMA, SMA, WMA, HMA) to calculate the OBV. This feature offers flexibility and enables traders to choose an MA type they're most comfortable with or find the most effective. 2. Smoothing Option: To reduce the inherent noise in the indicator, there's an option to apply smoothing. It uses a Simple Moving Average (SMA) to produce a clearer signal, making it easier for traders to interpret and respond to. If you don't want to use smoothing, just simply change the input length of smoothing to 1 in the settings. 3. Outlier Detection: One of the standout features is the use of a rolling window to detect volume outliers. This ensures that the OBV only reacts to significant volume changes and isn't overly influenced by random spikes or drops. The volume filter is calculated based on a % of the highest OBV volume of X number of bars back. Users can adjust the time (# bars) and the sensitivity (%) of the volume filter. A longer timeperiode (# bars) and a higher % (sensitivity) in the settings result to less signals presented by the indicator. 4. Divergence Detection: The script automatically highlights both regular and hidden divergences on the chart. Divergences can be a powerful signal of potential price reversals. This feature aids traders in spotting potential buy or sell opportunities based on divergences between price and OBV. Regular Bullish Divergence: When the price makes lower lows, but the OBV makes higher lows. Hidden Bullish Divergence: When the price makes higher lows, but the OBV makes lower lows. Regular Bearish Divergence: When the price makes higher highs, but the OBV makes lower highs. Hidden Bearish Divergence: When the price makes lower highs, but the OBV makes higher highs. 5. Alerts for Trend Reversals: The script incorporates alerts that notify traders when the OBV indicates potential trend reversals. This feature can be instrumental in catching early entries or exits. Disclaimer It's crucial to understand that no single indicator should be used in isolation. To increase the probability of making accurate market predictions, always use the OBV Oscillator in conjunction with other indicators and tools. Remember that all trading involves risk, and it's possible to lose your invested capital. Always seek advice from a financial advisor before making any trading decisions. By enhancing the OBV with features like the volume filter, multiple MA types, smoothing, and divergence detection, this script becomes a potent tool in a trader's arsenal. Use it wisely, and always ensure to maintain proper risk management.
Pine Script® indicator
by Harrocop
Market Sessions and TPO (+Forecast)This indicator "Market Sessions and TPO (+Forecast)" shows various market sessions alongside a TPO profile (presented as the traditional lettering system or as bars) and price forecast for the duration of the session. Additionally, numerous statistics for the session are shown. Features Session open and close times presented in boxes Session pre market and post market shown TPO profile generated for each session (normal market hours only) A forecast for the remained of the session is projected forward Forecast can be augmented by ATR Naked POCs remain on the chart until violated Volume delta for the session shown OI Change for the session shown (Binance sourced) Total volume for the session shown Price range for the session shown The image above shows processes of the indicator. Volume delta, OI change, total volume and session range are calculated and presented for each session. Additionally, a TPO profile for the most recent session is shown, and a forecast for the remainder of the active session is shown. The image above shows an alternative display method for the session forecast and TPO profile! Additionally, the pre-market and post-market times are denoted by dashed boxes. The image above exemplifies additional capabilities. That's all for now; further updates to come and thank you for checking this out! And a special thank you to @TradingView of course, for making all of this possible!
Pine Script® indicator
by MXWLL-Capital-Trading
50
Trend Change DetectorThe trend change detector oscillator is a tool designed to help traders identify the current trend direction paired with the potential reversal zones. The oscillator is made of multiple parts: - The colored histogram, that displays the current long-term trend direction (long if above 0, short if below) - The trend line, which shows the price in relation to the fair value of the current trend - The reversal zones, which are the area that alarms the traders that the price might reverse soon after having touched them The indicator can work with three different inputs. In the Source panel, you can choose between "Price", "Price and Volume" and "Ponderated Volume". The price input uses only the price, the price and volume use the average between the price and the ponderated volume, and the ponderated volume shows the indicator working with volume data, with formulas such as the On Balance Volume and the Accumulation-Distribution line. This indicator can be used both for trend following technique, using the cross of the trend line with the 0-line as signals in conjunction with the bias given by the histogram, and for mean reversal technique thanks to the reversal zones that allow traders to identify potential tops and bottoms.
Pine Script® indicator
by OmegaTools
2
Filtered Volume Profile [ChartPrime]The "Filtered Volume Profile" is a powerful tool that offers insights into market activity. It's a technical analysis tool used to understand the behavior of financial markets. It uses a fixed range volume profile to provide a histogram representing how much volume occurred at distinct price levels. Profile in action with various significant levels displayed How to Use The script is designed to analyze cumulative trading volumes in different price bins over a certain period, also known as `'lookback'`. This lookback period can be defined by the user and it represents the number of bars to look back for calculating levels of support and resistance. The `'Smoothing'` input determines the degree to which the output is smoothed. Higher values lead to smoother results but may impede the responsiveness of the indicator to rapid changes in volatility. The `'Peak Sensitivity'` input is used to adjust the sensitivity of the script's peak detection algorithm. Setting this to a lower value makes the algorithm more sensitive to local changes in trading volume and may result in "noisier" outputs. The `'Peak Threshold'` input specifies the number of bins that the peak detection mechanism should account for. Larger numbers imply that more volume bins are taken into account, and the resultant peaks are based on wider intervals. The `'Mean Score Length'` input is used for scaling the mean score range. This is particularly important in defining the length of lookback bars that will be used to calculate the average close price. Sinc Filter The application of the sinc-filter to the Filtered Volume Profile reduces the risk of viewing artefacts that may misrepresent the underlying market behavior. Sinc filtering is a high-quality and sharp filter that doesn't manifest any ringing effects, making it an optimal choice for such volume profiling. Histogram On the histogram, the volume profile is colored based on the balance of bullish to bearish volume. If a particular bar is more intense in color, it represents a larger than usual volume during a single price bar. This is a clear signal of a strong buying or selling pressure at a particular price level. Threshold for Peaks The `peak_thresh` input determines the number of bins the algorithm takes in account for the peak detection feature. The 'peak' represents the level where a significant amount of volume trading has occurred, and usually is of interest as an indicative of support or resistance level. By increasing the `peak_thresh`, you're raising the bar for what the algorithm perceives as a peak. This could result in fewer, but more significant peaks being identified. History of Volume Profiles and Evolution into Sinc Filtering Volume profiling has a rich history in market analysis, dating back to the 1950s when Richard D. Wyckoff, a legendary trader, introduced the concept of volume studies. He understood the critical significance of volume and its relationship with market price movement. The core of Wyckoff's technical analysis suite was the relationship between prices and volume, often termed as "Effort vs Results". Moving forward, in the early 1800s, the esteemed mathematician J. R. Carson made key improvements to the sinc function, which formed the basis for sinc filtering application in time series data. Following these contributions, trading studies continued to create and integrate more advanced statistical measures into market analysis. This culminated in the 1980s with J. Peter Steidlmayer’s introduction of Market Profile. He suggested that markets were a function of continuous two-way auction processes thus introducing the concept of viewing markets in price/time continuum and price distribution forms. Steidlmayer's Market Profile was the first wide-scale operation of organized volume and price data. However, despite the introduction of such features, challenges in the analysis persisted, especially due to noise that could misinform trading decisions. This gap has given rise to the need for smoothing functions to help eliminate the noise and better interpret the data. Among such techniques, the sinc filter has become widely recognized within the trading community. The sinc filter, because of its properties of constructing a smooth passing through all data points precisely and its ability to eliminate high-frequency noise, has been considered a natural transition in the evolution of volume profile strategies. The superior ability of the sinc filter to reduce noise and shield against over-fitting makes it an ideal choice for smoothing purposes in trading scripts, particularly where volume profiling forms the crux of the market analysis strategy, such as in Filtered Volume Profile. Moving ahead, the use of volume-based studies seems likely to remain a core part of technical analysis. As long as markets operate based on supply and demand principles, understanding volume will remain key to discerning the intent behind price movements. And with the incorporation of advanced methods like sinc filtering, the accuracy and insight provided by these methodologies will only improve. Mean Score The mean score in the Filtered Volume Profile script plays an important role in probabilistic inferences regarding future price direction. This score essentially characterizes the statistical likelihood of price trends based on historical data. The mean score is calculated over a configurable `'Mean Score Length'`. This variable sets the window or the timeframe for calculation of the mean score of the closing prices. Statistically, this score takes advantage of the concept of z-scores and probabilities associated with the t-distribution (a type of probability distribution that is symmetric and bell-shaped, just like the standard normal distribution, but has heavier tails). The z-score represents how many standard deviations an element is from the mean. In this case, the "element" is the price level (Point of Control). The mean score section of the script calculates standard errors for the root mean squared error (RMSE) and addresses the uncertainty in the prediction of the future value of a random variable. The RMSE of a model prediction concerning observed values is used to measure the differences between values predicted by a model and the values observed. The lower the RMSE, the better the model is able to predict. A zero RMSE means a perfect fit to the data. In essence, it's a measure of how concentrated the data is around the line of best fit. Through the mean score, the script effectively predicts the likelihood of the future close price being above or below our identified price level. Summary Filtered Volume Profile is a comprehensive trading view indicator which utilizes volume profiling, peak detection, mean score computations, and sinc-filter smoothing, altogether providing the finer details of market behavior. It offers a customizable look back period, smoothing options, and peak sensitivity setting along with a uniquely set peak threshold. The application of the Sinc Filter ensures a high level of accuracy and noise reduction in volume profiling, making this script a reliable tool for gaining market insights. Furthermore, the use of mean score calculations provides probabilistic insights into price movements, thus providing traders with a statistically sound foundation for their trading decisions. As trading markets advance, the use of such methodologies plays a pivotal role in formulating effective trading strategies and the Filtered Volume Profile is a successful embodiment of such advancements in the field of market analysis.
Pine Script® indicator
by ChartPrime
18
Daily Network Value to Transactions Signal (NVTS) Quote of GlassNode ... The NVT Signal (NVTS) is a modified version of the original NVT Ratio. It uses a 90 day moving average of the daily transaction volume in the denominator instead of the raw daily transaction volume. This moving average improves the ratio to better function as a leading indicator. The Network Value to Transactions (NVT) Ratio is calculated by dividing the market cap by the transferred on-chain volume measured in USD. GlassNode says the NVT Ratio was created by Willy Woo. I have peaked into Glassnode and took their idea. I also added a few more Moving Averages to select from, and the length can also be changed. This script does not depend on Glassnode alone, instead I pulls data of several services... CoinMarketCap CoinMetrics GlassNode IntoTheBlock Therefor we have more Tokens to select from. I have also blocked some faulty data of each service. If you get a study error of any kind then there is no data available, or you on a wrong timeframe. Best to use this script in a daily chart. And keep in mind it pulls data of yesterday. Therefor the plot is offset by 1 to the left. The script will check each service if the data for the chart is available. Market Cap is taken in the following order ... CainMarketCap GlassNode CoinMetrics Transaction volume as USD is taken in the following order ... IntoTheBlock CoinMetrics GlassNode Happy Trading!
Pine Script® indicator
by weak_hand
Buying Selling Volume StrategyFirst I would like to give the original credit and thanks to @ceyhun for his amazing volume script. The way I decided to convert it into a strategy is divided into multiple types. First, I decided in order to smooth out the values and make it more accurate to adapt the values to multiple timeframes. After that I took the initial values from the buyers and sellers , and made a rest operation between them to have a flat difference between the power of both sides. WIth that later on I decided to to apply a volatility filter,in this case bollinger bands, in order to find out potential leading trends. At the same time in order to filter even more, I decided to make use as well for weekly VWAP values of the asset used. Lastly I added a dynamic risk management into it , based on the ATR Daily values of the asset values. As for the rules used, for example for long, I am looking that the price of the asset is above the weekly VWAP, after that I am checking that the MTF volume rest operation is both bullish and above the upper side of the bollinger. For short we would want the asset to be below the weekly VWAP, and the volume to be bearish and above the upper side of bollinger. The exit is either based on daily ATR values multipliers, or if we have a reverse condition. If you have any questions, please let me know !
Pine Script® strategy
by exlux
1
Strategy - Relative Volume GainersStrategy - Relative Volume Gainers Overview: This trading strategy, called "Relative Volume Gainers," is designed for Long Entry opportunities in the stock market. The strategy aims to identify potential trading candidates based on specific technical conditions, including volume, price movements, and indicator alignments. Strategy Rules: The strategy is focused solely on Long Entry positions. The volume for the current trading day must be greater than or equal to the volume of the previous day. The percentage change in price must be greater than or equal to 2.5%. The Last Traded Price (LTP) must be greater than or equal to the Exponential Moving Average (EMA) 200. The Relative Volume for the current trading day (calculated over the last 30 days) must be greater than or equal to the Simple Moving Average (SMA) of Relative Volume over the same 30 days. The current candle on the chart should be Green or Bullish, indicating positive price movement. The price difference between bid and ask prices should be kept to a minimum. It's recommended to also analyze market depth for better insights. Strategy Requirements: Add the Exponential Moving Average (EMA) 200 to your trading chart. This strategy can be applied on charts of any timeframe. For intraday trading, particularly for early entry, consider using a 1-minute timeframe. It is advisable to create a screener to identify potential trades in real-time market conditions. Risk Warning: Stocks that meet the strategy criteria might exhibit high volatility and a high beta, making them inherently risky to trade. Exercise caution and adhere to predetermined risk management strategies. Determine your trading quantity based on your entry price and stop loss in order to manage risk effectively. Quantity Calculation Formula: Quantity calculation is crucial to manage risk and position sizing. The following formulas can be used based on your trading scenario: Quantity with Leverage: Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss)) * Leverage Eg: Quantity = (((10000 / 100) * 0.2) / (405.5 - 398.5)) * 5 Quantity = 14 Risk = Rs.100 (Rs.100 is 1% of Rs.10000. So the risk is 1%, means we lose only Rs.100 when the SL is hit. If SL is increased the Quantity will get reduced to maintain a fixed risk of Rs.100) Quantity without Leverage: Quantity = (((Using Capital / 100) * Risk Percent) / (Entry Price - Stop Loss)) Note: Always stay informed about market conditions and be prepared for potential rapid price movements when trading stocks that meet the strategy criteria. Strictly adhere to your predefined risk management strategy to safeguard your capital.
Pine Script® indicator
by Arun_K_Bhaskar
45
Volume Delta CandlesThis indicator is designed to visualize the volume delta, which represents the difference between buying and selling volumes during each candle period. The indicator plots custom candlesticks on the chart, with OHLC values calculated based on the volume delta. Calculations: To calculate the volume delta, the indicator first determines the buying and selling volumes. If the closing price is higher than the opening price (close > open), the volume is considered as buying volume. If the closing price is lower than the opening price (close < open), the volume is considered as selling volume. Otherwise, the volume is set to zero. The volume delta is then calculated as the difference between the buying volume and the selling volume. The custom OHLC values are derived from the volume delta. The custom open is obtained by subtracting the volume delta from the closing price. The custom close is obtained by adding the volume delta to the closing price. The custom high is set as the maximum value between the closing price and the custom open, ensuring that the candle represents the highest value within the range. The custom low is set as the minimum value between the closing price and the custom open, ensuring that the candle represents the lowest value within the range. Interpretation: The indicator's custom candles provide visual insights into the volume delta. Each candlestick's color (lime for positive volume delta, fuchsia for negative volume delta) indicates the dominance of buying or selling pressure during that period. When the volume delta is positive, it suggests that buying volume exceeded selling volume, possibly indicating a bullish sentiment. Conversely, when the volume delta is negative, it indicates that selling volume was higher, potentially signaling a bearish sentiment. The indicator also plots a zero line to represent the equilibrium point, where buying and selling volumes are equal. Potential Uses and Limitations: Traders can use the indicator to gain insights into the strength and direction of buying and selling pressures. Positive volume delta during an uptrend could suggest the presence of strong buying interest, potentially supporting further bullish moves. On the other hand, negative volume delta during a downtrend could indicate intensified selling pressure, hinting at potential further declines. Traders might use the indicator in conjunction with other technical analysis tools, such as support and resistance levels, trendlines, or oscillators, to confirm potential reversal points or trend continuations. It's essential to interpret the indicator in the context of the overall market environment. While volume delta can provide valuable insights into short-term buying and selling imbalances, it is just one aspect of market analysis. Traders should consider other factors, such as market structure, fundamental events, and overall sentiment, to make informed trading decisions. Additionally, the indicator's efficacy might vary across different market conditions, and it may produce false signals during low-volume periods or choppy markets. Conclusion: By visualizing volume delta through custom candlesticks, traders can gauge market sentiment and potentially identify key reversal or continuation points. As with any technical indicator, it is advisable to use the Volume Delta Candles in combination with other tools to gain a comprehensive understanding of market conditions and make well-informed trading choices. Additionally, traders should practice proper risk management techniques to protect their capital while using the indicator in their trading strategy.
Pine Script® indicator
by LeafAlgo
1