Volume RSIRelative strength index based on volume data.
Indicate volume momentum, and help you define divergences on volume.
The goal is to have an idea and represent in another form volumes and kept eyes on volume momentum on a certain period.
RSI is an indicator about the strength, I keep the oversold/overbought thresholds. I think it still makes sense to interpret.
the calculations is simple, we use the average volume up (avg_vol_up) and average volume down (avg_vol_down) over the period.
then calculate the relatives strength : ( avg_vol_up / ( avg_vol_up + avg_vol_down ) ) * 100
The period is 14 by default. The period is used for calculating mean.
I also add MA it helps to have a global look on the indicator.
In my code I used the idea of @Padronhosnai in his code "positve/negative volume" to get volumes in the right form.
For pictures I also use his indicator it's the one above.
Volume
PVSRA Candles Auto OverrideWhat does this “PVSRA Candles Auto Override” Indicator
do?
This indicator automates PVSRA analysis for crypto traders. It finds the corresponding Binance Perpetual Futures chart for the current instrument, then replaces the current chart's volume profile with the perpetual futures data (if available) to ensure the PVSRA calculation uses the most relevant volume. This not only reduces human error during market scans but also automatically selects the appropriate Binance Perpetual Futures contract, saving time and improving the accuracy of PVSRA calculations.
How can a trader use this indicator?
This helps the trader to identify if there is volume data available in an equivalent Binance Perpetual Futures chart and automatically displays it, making it easier to switch coins whilst viewing the market. Why do we want to use Binance Perpetual Futures Volume? In most markets Binance volume surpasses those of other crypto exchanges so this will give us a better view on the volume spikes in the market.
What is PVSRA and how can I trade using this indicator?
PVSRA candles are a type of candlestick chart formatting. PVSRA stands for Price, Volume, Support and Resistance Analysis.
Here's a breakdown of what PVSRA candles aim to achieve:
Combine multiple factors: They take into account price movement, trading volume, and support and resistance levels to identify potential trading opportunities.
Highlight potential imbalances: By color-coding candles based on PVSRA analysis, they aim to show areas of high volume activity, potentially representing imbalances created by market makers (large institutions that influence price).
Identify areas of revisit: The theory is that these high-volume zones may be revisited by the market in the future, as there's "unrecovered liquidity" in those areas.
Usage of the Indicator:
By default the indicator will automatically use the Equivalent Binance Perpetual Chart for the Data
You can override the symbol manually if you what to view another instrument’s data.
VCBBDOVWAPSMA By Anil ChawraHow Users Can Make Profit Using This Script:
1. Volume Representation : Each candle on the chart represents a specific time period (e.g., 1 minute, 1 hour, 1 day) and includes information about both price movement and trading volume during that period.
2. Candlestick Anatomy : A volume candle has the same components as a regular candlestick: the body (which represents the opening and closing prices) and the wicks or shadows (which indicate the highest and lowest prices reached during the period).
3. Volume Bars : Instead of just the candlestick itself, volume candles also include a bar or histogram representing the trading volume during that period. The height or length of the volume bar indicates the amount of trading activity.
4. Interpreting Volume : High volume candles typically indicate increased market interest or activity during that period. This could be due to significant buying or selling pressure.
5. Confirmation : Traders often look for confirmation from other technical indicators or price action to validate the significance of a high volume candle. For example, a high volume candle breaking through a key support or resistance level may signal a strong market move.
6. Trend Strength : Volume candles can provide insights into the strength of a trend. A series of high volume candles in the direction of the trend suggests strong momentum, while decreasing volume may indicate weakening momentum or a potential reversal.
7. Volume Patterns : Traders also analyze volume patterns, such as volume spikes or divergences, to identify potential trading opportunities or reversals.
8. Combination with Price Action: Volume analysis is often used in conjunction with price action analysis and other technical indicators to make more informed trading decisions.
9. Confirmation and Validation: It's important to confirm the significance of volume candles with other indicators or price action signals to avoid false signals.
10. Risk Management : As with any trading strategy, proper risk management is crucial when using volume candles to make trading decisions. Set stop-loss orders and adhere to risk management principles to protect your capital.
How to script works :
1.Identify High Volume Candles: Look for candles with significantly higher volume compared to the surrounding candles. These can indicate increased market interest or activity.
2.Wait for Confirmation: Once you identify a high volume candle, wait for confirmation from subsequent candles to ensure the momentum is sustained.
3.Enter the Trade: After confirmation, consider entering a trade in the direction indicated by the high volume candle. For example, if it's a bullish candle, consider buying.
4.Set Stop Loss: Always set a stop loss to limit potential losses in case the trade goes against you.
5.Take Profit: Set a target for taking profits. This could be based on technical analysis, such as a resistance level or a certain percentage gain.
6.Monitor Volume: Continuously monitor volume to gauge the strength of the trend. Decreasing volume may signal weakening momentum and could be a sign to exit the trade.
7.Risk Management: Manage risk carefully by adjusting position sizes according to your risk tolerance and the size of your trading account.
8.Review and Adapt: Regularly review your trades and adapt your strategy based on what's working and what's not.
Remember, no trading strategy guarantees profits, and it's essential to practice proper risk management and have realistic expectations. Additionally, consider combining volume analysis with other technical indicators for a more comprehensive approach to trading.
**How Users Can Make Profit Using This Script:
**
DAYS OPEN LINE:
1.Purpose: Publishing a "Days Open Line" indicator serves to inform customers about the operational schedule of a business or service.
2.Visibility: It ensures that the information regarding the days of operation is easily accessible to current and potential customers.
3.Transparency: By making the operational schedule public, businesses demonstrate transparency and reliability to their customers.
4.Accessibility: The indicator should be published on various platforms such as the business website, social media channels, and physical locations to ensure accessibility to a wide audience.
5.Clarity: The information should be presented in a clear and concise manner, specifying the days of the week the business is open and the corresponding operating hours.
6.Updates: It's important to regularly update the "Days Open Line" indicator to reflect any changes in the operational schedule, such as holidays or special events.
7.Customer Convenience: Providing this information helps customers plan their visits accordingly, reducing inconvenience and frustration due to unexpected closures.
8.Expectation Management: Setting clear expectations regarding the business hours helps manage customer expectations and reduces the likelihood of disappointment or complaints.
9.Customer Service: Publishing the "Days Open Line" indicator demonstrates a commitment to customer service by ensuring that customers have the information they need to engage with the business.
10.Brand Image: Consistently .maintaining and updating the indicator contributes to a positive brand image, as it reflects professionalism, reliability, and a customer-centric approach.
SMA CROSS:
1.This indicator generates buy and sell signals based on the crossover of two Simple Moving Averages (SMA): a shorter 3-day SMA and a longer 8-day SMA.
When the 3-day SMA crosses above the 8-day SMA, it generates a buy signal indicating a potential upward trend.
Conversely, when the 3-day SMA crosses below the 8-day SMA, it generates a sell signal indicating a potential downward trend.
Signal Interpretation:
2.Buy Signal: Generated when the 3-day SMA crosses above the 8-day SMA.
Sell Signal: Generated when the 3-day SMA crosses below the 8-day SMA.
Usage:
3.Traders can use this indicator to identify potential entry and exit points in the market.
Buy signals suggest a bullish trend, indicating a favorable time to enter or hold a long position.
4.Sell signals suggest a bearish trend, indicating a potential opportunity to exit or take a short position.
Parameters:
5.Periods: 3-day SMA and 8-day SMA.
Price: Closing price is commonly used, but users can choose other price types (open, high, low) for calculation.
Confirmation:
6.It's recommended to use additional technical analysis tools or confirmatory indicators to validate signals and minimize false signals.
Risk Management:
7.Implement proper risk management strategies, such as setting stop-loss orders, to mitigate losses in case of adverse price movements.
Backtesting:
8.Before using the indicator in live trading, conduct thorough backtesting to evaluate its effectiveness under various market conditions.
Considerations:
9.While SMA crossovers can provide valuable insights, they may generate false signals during ranging or choppy markets.
Combine this indicator with other technical analysis techniques for comprehensive market analysis.
Continuous Optimization:
10.Monitor the performance of the indicator and adjust parameters or incorporate additional filters as needed to enhance accuracy over time.
BOLLINGER BAND:
1.Definition: A Bollinger Band indicator is a technical analysis tool that consists of a centerline (typically a moving average) and two bands plotted above and below it. These bands represent volatility around the moving average.
2.Purpose: Publishing a Bollinger Band indicator serves to provide traders and investors with insights into the volatility and potential price movements of a financial instrument.
3.Visualization: The indicator is typically displayed on price charts, allowing users to visualize the relationship between price movements and volatility levels.
4.Interpretation: Traders use Bollinger Bands to identify overbought and oversold conditions, potential trend reversals, and volatility breakouts.
5.Components: The indicator consists of three main components: the upper band, lower band, and centerline (usually a simple moving average). These components are calculated based on standard deviations from the moving average.
6.Parameters: Traders can adjust the parameters of the Bollinger Bands, such as the period length and standard deviation multiplier, to customize the indicator based on their trading strategy and preferences.
7.Signals: Bollinger Bands generate signals when prices move outside the bands, indicating potential trading opportunities. For example, a price breakout above the upper band may signal a bullish trend continuation, while a breakout below the lower band may indicate a bearish trend continuation.
8.Confirmation: Traders often use other technical indicators or price action analysis to confirm signals generated by Bollinger Bands, enhancing the reliability of their trading decisions.
9.Education: Publishing Bollinger Band indicators can serve an educational purpose, helping traders learn about technical analysis concepts and how to apply them in real-world trading scenarios.
10.Risk Management: Traders should exercise proper risk management when using Bollinger Bands, as false signals and market volatility can lead to losses. Publishing educational content alongside the indicator can help users understand the importance of risk management in trading.
VWAP:
1.Calculation: VWAP is calculated by dividing the cumulative sum of price times volume traded for every transaction (price * volume) by the total volume traded.
2.Time Frame: VWAP is typically calculated for a specific time frame, such as a trading day or a session.
3.Intraday Trading: It's commonly used by intraday traders to assess the fair value of a security and to determine if the current price is above or below the average price traded during the day.
4.Execution: Institutional traders often use VWAP as a benchmark for executing large orders, aiming to buy at prices below VWAP and sell at prices above VWAP.
5.Benchmark: It serves as a benchmark for traders to evaluate their trading performance. Trades executed below VWAP are considered good buys, while those above are considered less favorable.
6.Sensitivity: VWAP is more sensitive to price and volume changes during periods of high trading activity and less sensitive during periods of low trading activity.
7.Day's End: VWAP resets at the end of each trading day, providing a new reference point for the following trading session.
8.Volume Weighting: The weighting by volume means that prices with higher trading volumes have a greater impact on VWAP than those with lower volumes.
9.Popular with Algorithmic Traders: Algorithmic trading systems often incorporate VWAP strategies to execute trades efficiently and minimize market impact.
10.Limitations: While VWAP is a useful indicator, it's not foolproof. It may lag behind rapidly changing market conditions and may not be suitable for all trading strategies or market conditions. Additionally, it's more effective in liquid markets where there is significant trading volume.
OBVious MA Indicator [1000X] On Balance Volume (OBV) is a gift to traders. OBV often provides a leading signal at the outset of a trend, when compression in the markets produces a surge in OBV prior to increased volatility.
This indicator demonstrates one method of utilizing OBV to your advantage. I call it the "OBVious MA Indicator ” only because it is simple in its mechanics. The primary utility of the OBVious MA indicator is as a volume confirmation filter that complements other components of a strategy.
Indicator Features:
• The Indicator revolves around the On Balance Volume indicator. OBV is a straightforward indicator: it registers a value by adding total volume traded on up candles, and subtracts total volume on down candles, generating a line by connecting those values. OBV was described in 1963 by Joe Granville in his book "Granville's New Key to Stock Market Profits” in which the author argues that OBV is the most vital key to success as a trader, with volume changes are a major predictor of price changes.
• Dual Moving Averages: here we use separate moving averages for entries and exits. This allows for more granular trade management; for example, one can either extend the length of the exit MA to hold positions longer, or shorten the MA for swifter exits, independently of the entry signals.
Execution: long trades are signalled when the OBV line crosses above the Long Entry Moving Average of the OBV. Long exits signals occur when the OBV line crosses under the Long Exit MA of the OBV. Shorts signal occur on a cross below the Short Entry MA, and exit signals come on a cross above the Short Exit MA.
Application:
While this indicator outlines entry and exit conditions based on OBV crossovers with designated moving averages, is is, as stated, best used in conjunction with a supporting cast of confirmatory indicators (feel free to drop me a note and tell me how you've used it). It can be used to confirm entries, or you might try using it as a sole exit indicator in a strategy.
Visualization:
The indicator includes conditional plotting of the OBV MAs, which plot based on the selected trading direction. This visualization aids in understanding how OBV interacts with the set moving averages.
Further Discussion:
We all know the importance of volume; this indicator demonstrates one simple yet effective method of incorporating the OBV for volume analysis. The OBV indicator can be used in many ways - for example, we can monitor OBV trend line breaks, look for divergences, or as we do here, watch for breaks of the moving average.
Despite its simplicity, I'm unaware of any previously published cases of this method. But the concept of applying MAs or EMAs to volume-based indicators like OBV is not uncommon in technical analysisIf, so I expect work like this has been done before. If you know of other similar indicators or strategies, please mention in the comments.
One comparable method uses EMAs of the OBV is QuantNomad’s "On Balance Volume Oscillator Strategy ”. That strategy uses a pair of EMAs on a normalized-range OBV-based oscillator. In that strategy, however, entry and exit signals occur on one EMA crossing the other, which places trades at distinctly different times than crossings of the OBV itself. Both are valid approaches with strength in simplicity.
Note: This is the indicator version of the Strategy found here .
OBVious MA Strategy [1000X Trader]Exploring OBV: The OBVious MA Strategy
Are you using On Balance Volume (OBV) effectively? OBV is a gift to traders. OBV often provides a leading signal at the outset of a trend, when compression in the markets produces a surge in OBV prior to increased volatility.
This strategy demonstrates one method of utilizing OBV to your advantage. I call it the "OBVious MA Strategy ” only because it is so simple in its mechanics. This is meant to be a demonstration, not a strategy to utilize in live trading, as the primary utility of the OBVious MA indicator is as a volume confirmation filter that complements other components of a strategy. That said, I felt useful to present this indicator in isolation in this strategy to demonstrate the power it holds.
Strategy Features:
• OBV is the core signal: this strategy revolves around the On Balance Volume indicator. OBV is a straightforward indicator: it registers a value by adding total volume traded on up candles, and subtracts total volume on down candles, generating a line by connecting those values. OBV was described in 1963 by Joe Granville in his book "Granville's New Key to Stock Market Profits” in which the author argues that OBV is the most vital key to success as a trader, as volume changes are a major predictor of price changes.
• Dual Moving Averages: here we use separate moving averages for entries and exits. This allows for more granular trade management; for example, one can either extend the length of the exit MA to hold positions longer, or shorten the MA for swifter exits, independently of the entry signals.
Execution: long trades are taken when the OBV line crosses above the Long Entry Moving Average of the OBV. Long exits occur when the OBV line crosses under the Long Exit MA of the OBV. Shorts enter on a cross below the Short Entry MA, and exit on a cross above the Short Exit MA.
• Directional Trading: a direction filter can be set to "long" or "short," but not “both”, given that there is no trend filter in this strategy. When used in a bi-directional strategy with a trend filter, we add “both” to the script as a third option.
Application:
While this strategy outlines entry and exit conditions based on OBV crossovers with designated moving averages, is is, as stated, best used in conjunction with a supporting cast of confirmatory indicators (feel free to drop me a note and tell me how you've used it). It can be used to confirm entries, or you might try using it as a sole exit indicator in a strategy.
Visualization:
The strategy includes conditional plotting of the OBV MAs, which plot based on the selected trading direction. This visualization aids in understanding how OBV interacts with the set moving averages.
Further Discussion:
We all know the importance of volume; this strategy demonstrates one simple yet effective method of incorporating the OBV for volume analysis. The OBV indicator can be used in many ways - for example, we can monitor OBV trend line breaks, look for divergences, or as we do here, watch for breaks of the moving average.
Despite its simplicity, I'm unaware of any previously published cases of this method. The concept of applying MAs or EMAs to volume-based indicators like OBV is not uncommon in technical analysis, so I expect that work like this has been done before. If you know of other similar indicators or strategies, please mention in the comments.
One comparable strategy that uses EMAs of the OBV is QuantNomad’s "On Balance Volume Oscillator Strategy ", which uses a pair of EMAs on a normalized-range OBV-based oscillator. In that strategy, however, entries and exits occur on one EMA crossing the other, which places trades at distinctly different times than crossings of the OBV itself. Both are valid approaches with strength in simplicity.
Relative Volume (RV)Relative Volume take the volume at a given time of day and compares it to the average volume at that time of day. You can either use the current volume or the cumulative volume in this analysis. You have the option to either see the average and the current volume or a comparative view where you see the percent difference between now and the average.
My implementation of relative volume uses a key-value pair to simplify the process of getting the average volume for the time of day. This reduces the lines of code needed and makes it easier to understand. I have added the normal features you would find in a relative volume indicator with the addition of an average above/below average section for comparing the significance of above/below average moves are. I hope this script is not only useful but educational.
Enjoy
Volume Candle bollinger band By Anil ChawraHow Users Can Make Profit Using This Script:
1.Volume Representation: Each candle on the chart represents a specific time period (e.g., 1 minute, 1 hour, 1 day) and includes information about both price movement and trading volume during that period.
2.Candlestick Anatomy: A volume candle has the same components as a regular candlestick: the body (which represents the opening and closing prices) and the wicks or shadows (which indicate the highest and lowest prices reached during the period).
3.Volume Bars: Instead of just the candlestick itself, volume candles also include a bar or histogram representing the trading volume during that period. The height or length of the volume bar indicates the amount of trading activity.
4.Interpreting Volume: High volume candles typically indicate increased market interest or activity during that period. This could be due to significant buying or selling pressure.
5.Confirmation: Traders often look for confirmation from other technical indicators or price action to validate the significance of a high volume candle. For example, a high volume candle breaking through a key support or resistance level may signal a strong market move.
6.Trend Strength: Volume candles can provide insights into the strength of a trend. A series of high volume candles in the direction of the trend suggests strong momentum, while decreasing volume may indicate weakening momentum or a potential reversal.
7.Volume Patterns: Traders also analyze volume patterns, such as volume spikes or divergences, to identify potential trading opportunities or reversals.
8.Combination with Price Action: Volume analysis is often used in conjunction with price action analysis and other technical indicators to make more informed trading decisions.
9.Confirmation and Validation: It's important to confirm the significance of volume candles with other indicators or price action signals to avoid false signals.
10.Risk Management: As with any trading strategy, proper risk management is crucial when using volume candles to make trading decisions. Set stop-loss orders and adhere to risk management principles to protect your capital.
How the Script Works:
1.Identify High Volume Candles: Look for candles with significantly higher volume compared to the surrounding candles. These can indicate increased market interest or activity.
2.Wait for Confirmation: Once you identify a high volume candle, wait for confirmation from subsequent candles to ensure the momentum is sustained.
3.Enter the Trade: After confirmation, consider entering a trade in the direction indicated by the high volume candle. For example, if it's a bullish candle, consider buying.
4.Set Stop Loss: Always set a stop loss to limit potential losses in case the trade goes against you.
5.Take Profit: Set a target for taking profits. This could be based on technical analysis, such as a resistance level or a certain percentage gain.
6.Monitor Volume: Continuously monitor volume to gauge the strength of the trend. Decreasing volume may signal weakening momentum and could be a sign to exit the trade.
7.Risk Management: Manage risk carefully by adjusting position sizes according to your risk tolerance and the size of your trading account.
8.Review and Adapt: Regularly review your trades and adapt your strategy based on what's working and what's not.
Remember, no trading strategy guarantees profits, and it's essential to practice proper risk management and have realistic expectations. Additionally, consider combining volume analysis with other technical indicators for a more comprehensive approach to trading.
How Users Can Make Profit Using this script :
Bollinger Bands are a technical analysis tool that helps traders identify potential trends and volatility in the market. Here's a simple strategy using Bollinger Bands with a 10-point range:
1. *Understanding Bollinger Bands*: Bollinger Bands consist of a simple moving average (typically 20 periods) and two standard deviations plotted above and below the moving average. The bands widen during periods of high volatility and contract during periods of low volatility.
2. *Identify Price Range*: Look for a stock or asset that has been trading within a relatively narrow range (around 10 points) for some time. This indicates low volatility.
3. *Wait for Squeeze*: When the Bollinger Bands contract, it suggests that volatility is low and a breakout may be imminent. This is often referred to as a "squeeze."
4. *Plan Entry and Exit Points*: When the price breaks out of the narrow range and closes above the upper Bollinger Band, consider entering a long position. Conversely, if the price breaks below the lower band, consider entering a short position.
5. *Set Stop-Loss and Take-Profit*: Set stop-loss orders to limit potential losses if the trade goes against you. Take-profit orders can be set at a predetermined level or based on the width of the Bollinger Bands.
6. *Monitor and Adjust*: Continuously monitor the trade and adjust your stop-loss and take-profit levels as the price moves.
7. *Risk Management*: Only risk a small percentage of your trading capital on each trade. This helps to mitigate potential losses.
8. *Practice and Refinement*: Practice this strategy on a demo account or with small position sizes until you are comfortable with it. Refine your approach based on your experience and market conditions.
Remember, no trading strategy guarantees profits, and it's essential to combine technical analysis with fundamental analysis and risk management principles for successful trading. Additionally, always stay informed about market news and events that could impact your trades.
How does script works:
Bollinger Bands work by providing a visual representation of the volatility and potential price movements of a financial instrument. Here's how they work with a 10-point range:
1. *Calculation of Bollinger Bands*: The bands consist of three lines: the middle line is a simple moving average (SMA) of the asset's price (typically calculated over 20 periods), and the upper and lower bands are calculated by adding and subtracting a multiple of the standard deviation (usually 2) from the SMA.
2. *Interpretation of the Bands*: The upper and lower bands represent the potential extremes of price movements. In a 10-point range scenario, these bands are positioned 10 points above and below the SMA.
3. *Volatility Measurement*: When the price is experiencing high volatility, the bands widen, indicating a wider potential range of price movement. Conversely, during periods of low volatility, the bands contract, suggesting a narrower potential range.
4. *Mean Reversion and Breakout Signals*: Traders often use Bollinger Bands to identify potential mean reversion or breakout opportunities. When the price touches or crosses the upper band, it may indicate overbought conditions, suggesting a potential reversal to the downside. Conversely, when the price touches or crosses the lower band, it may indicate oversold conditions and a potential reversal to the upside.
5. *10-Point Range Application*: In a scenario where the price range is limited to 10 points, traders can look for opportunities when the price approaches either the upper or lower band. If the price consistently bounces between the bands, traders may consider buying near the lower band and selling near the upper band.
6. *Confirmation and Risk Management*: Traders often use other technical indicators or price action patterns to confirm signals generated by Bollinger Bands. Additionally, it's crucial to implement proper risk management techniques, such as setting stop-loss orders, to protect against adverse price movements.
Overall, Bollinger Bands provide traders with valuable insights into market volatility and potential price movements, helping them make informed trading decisions. However, like any technical indicator, they are not foolproof and should be used in conjunction with other analysis methods.
LevelUp^ AlphaLevelUp Alpha is a collection of tools designed in collaboration with Brian Shannon, CMT, creator of the anchored VWAP (AVWAP) and the author of two best-selling books on technical analysis. This indicator is focused on tools and techniques that Brian uses in both his analysis and trading.
LevelUp Alpha Goals
One primary goal of LevelUp Alpha was to create an indicator with tools and visuals that mimic Brian's preferred chart layouts. For example, the default lengths/colors for AVWAP, 5-day moving average and vertical lines where moving averages begin, are all aligned with Brian's approach to technical analysis. Through this educational process, one can learn how to effectively use AVWAP and other intraday tools to properly manage trades and adhere to sound risk management principles. At any point, the indicator can be customized to match one's preferred layout, colors and trading style.
Trend Alignment - Multiple Timeframe Analysis
As trend followers, we look for stocks in an established uptrend. This starts with reviewing stocks on weekly and/or daily charts. From there, we focus on lower timeframes using intraday charts, with the objective to verify alignment between the timeframes.
Important Note: The majority of tools in LevelUp Alpha are for lower timeframes (intraday) analysis as this is where potential trade setups, entries and exits (stops) are often determined.
Key Features:
▪ AVWAP auto-anchored on 1-day, 2-day, week-to-date and month-to-date (for intraday charts).
▪ AVWAP works with any exchange around the globe, respecting trading days, hours and holidays.
▪ AVWAP works with the TradingView Replay feature, facilitating historical and post-mortem analysis.
▪ 5-day moving average auto-calculated based on the chart timeframe.
▪ 5-day moving average auto-adjusts the minutes in the trading day for crypto and futures.
▪ View up to three daily moving averages on intraday charts, including optional price data.
▪ Anticipate moving average direction based on vertical lines placed at the first bar for each moving average.
▪ Pivot points, aka floor trader pivots or support/resistance levels (R1/S1, R2/S2, etc).
▪ Highlight current and prior day highs/lows with line and price data as these are areas of potential support and resistance.
▪ Table of stats for AVWAP, current and prior day highs/lows, and pivot point price levels, helpful for entries, exits and stops.
▪ Custom alerts for all AVWAPs and pivot points.
AVWAP
The Volume Weighted Average Price (VWAP) is the cumulative average price a stock traded for one day. AVWAP is the same as the VWAP with the exception that the start point (the anchor) is configurable based on a trader's preference, not simply the start of the trading day. From the anchor point forward, on each bar, AVWAP is calculated based on the cumulative volume and average price.
The AVWAP shows the relationship between price and volume over any time period based on the anchor point. At a glance we can see who is in control, the buyers (bulls) or the sellers (bears).
AVWAP Concepts:
▪ When a stock is above an advancing AVWAP, buyers are in control for that timeframe, as the average price is increasing.
▪ When prices are below a declining AVWAP, sellers are in control for that timeframe, as the average price is declining.
▪ When prices oscillate above and below the AVWAP it indicates indecision for that timeframe.
What's unique about AVWAP in this indicator is that it is auto-anchored on 1-day, 2-day, week-to-date and month-to-date. In addition, LevelUp Alpha supports any exchange around the globe, respecting trading days, hours and holidays. You can also use the TradingView replay feature with this indicator, a powerful tool for historical and post-mortem analysis.
AVWAP Auto-Anchor: 1-day, 2-day, week-to-date and month-to-date
AVWAP and TradingView Replay: Review Historical Data and Past Trades
Saudi Exchange (Tadāwul): Trading Days, Sunday to Thursday, 10:00am to 3:00pm
Auto-Anchor: Detects Trading Days
London Stock Exchange (LSE): Trading Days, Monday to Friday, 8:00am to 4:30pm
Auto-Anchor: Detects U.K. Bank Holiday
5-Day Moving Average
When using AVWAP, we look for stocks where the trend of the 50-SMA is higher. We follow this by reviewing lower timeframes (intraday charts) to see if the price action is setting up for a low risk trade by verifying the shorter timeframes align with the longer. As we look at various timeframes, we need to make sure the moving average is consistent across the timeframes, which is done via the 5-day moving average as explained by Brian:
"If you want to see a five DAY moving average on a chart with 10 minute candles, you have to consider how many 10 minute periods of trading there are in the trading day. The US equities markets are open from 9:30- 4:00 each day, which is 6.5 hours per trading day. In each hour of trading, there are 6-10 minute periods, so during the regular session for equities, the market is open for 390 minutes or 39-10 minute periods per day. If we are to get a five day moving average, we would take the 39-10 minute periods the market is open each day and then multiply that by five days. 39 x 5 = 195. So a 5 DAY moving average is represented by a 195 PERIOD moving average when looking at a 10 minute timeframe."
In LevelUp Alpha, the default value for the minutes per day is 390, the number of minutes in one trading day in the U.S. This value can be changed to match any exchange. For example, if trading the India National Stock Exchange (NSE), which is open from 9:30am to 3:30pm, the minutes per day would be set to 375.
As trend followers, our goal is to find stocks where the 5-day moving average is trending up.
5-Day Moving Average Trending Up
When viewing charts of crypto or futures, the minutes per trading day will be auto-adjusted as follows:
• Crypto: 1440 minutes per day based on 24 hrs per day.
• Futures: 1380 minutes per day based on 23 hrs per day - S&P 500 E-mini Futures (ES1!) & NASDAQ 100 E-mini Futures (NS1!)
Important Note: Based on the math as described above using the minutes in the trading day, there will be chart timeframes where the 5-day moving average is not shown. If you have the 5-day moving average enabled from within the indicator Settings, yet the 5-day line is not visible, try changing to another timeframe.
Moving Averages
There are three configurable daily moving averages, including the option to use simple or exponential calculations. These daily moving averages can be viewed on intraday charts as they can often act as areas of support or resistance. There is also an option to smooth the daily moving average when they are shown on an intraday chart.
Daily 10-SMA on Intraday Chart - Acting as Support
Auto-smoothing feature is off.
Daily 20-SMA on Intraday Chart - Acting as Support
Auto-smoothing feature is on.
Vertical Lines - Anticipating Direction
By placing vertical lines at the starting bar where a moving average calculation begins, one can anticipate the direction of the moving average by viewing the trend of the bars that will fall off the moving average as new bars are added. This can be helpful to gauge if the trend will continue in its current trajectory or begin to move in a different direction.
Intraday Chart
Daily Chart
S&P 500 E-mini Futures (ES1!)
Crypto
Pivot Points
Pivot points are intraday price levels that may act as areas of support or resistance. These pivot points were initially created by floor traders operating within the trading pits of the equity futures exchange in Chicago.
The calculations for determining these pivots are based on the prior days high, low and close:
Pivot (P) = (prevHigh + prevLow + prevClose) / 3
Resistance R1 = (2 * P) - prevLow
Support S1 = (2 * P) - prevHigh
Resistance R2 = P + (prevHigh - prevLow)
Support S2 = P - (prevHigh - prevLow)
Resistance R3 = prevHigh + (2 * (pivot - prevLow))
Support S3 = prevLow - (2 * (prevHigh - pivot))
R1 Acting as Resistance
S2 Acting as Support
Prior Day High and Low
With LevelUp Alpha you can show horizontal lines at both the prior day high and low values. This makes it easy to visualize the prior day's trading range in anticipation of potential areas of support or resistance. These area can also be potential points for entering, exiting or profit taking.
Current Day High and Low
In a similar manner to prior day high and low values, you can also view the current day high and low. Notice in the chart below that you can easily see inside days and watch the price action in real-time.
Tables for AVWAP and Pivot Stats
To make it easy to quickly determine potential entries, exits and stops, as well as areas of support or resistance, key values can be shown in a table. The table contents are configurable, with options to include: AVWAP, current day and prior day highs/lows as well as pivot points.
AVWAP Color Coded & Pivot Points
Current Day High/Low and Prior Day High Low
Custom Alerts
There are alert options for all AVWAP values as well as resistance levels R1, R2 and support levels S1 and S2.
Acknowledgements
Many thanks to Brian Shannon for sharing his expertise on technical analysis and risk management, as well as providing feedback and suggestions on the indicator.
Volume Candles By Anil ChawraHow Users Can Make Profit Using This Script:
1. Volume Representation : Each candle on the chart represents a specific time period (e.g., 1 minute, 1 hour, 1 day) and includes information about both price movement and trading volume during that period.
2. Candlestick Anatomy : A volume candle has the same components as a regular candlestick: the body (which represents the opening and closing prices) and the wicks or shadows (which indicate the highest and lowest prices reached during the period).
3. Volume Bars : Instead of just the candlestick itself, volume candles also include a bar or histogram representing the trading volume during that period. The height or length of the volume bar indicates the amount of trading activity.
4. Interpreting Volume : High volume candles typically indicate increased market interest or activity during that period. This could be due to significant buying or selling pressure.
5. Confirmation : Traders often look for confirmation from other technical indicators or price action to validate the significance of a high volume candle. For example, a high volume candle breaking through a key support or resistance level may signal a strong market move.
6. Trend Strength : Volume candles can provide insights into the strength of a trend. A series of high volume candles in the direction of the trend suggests strong momentum, while decreasing volume may indicate weakening momentum or a potential reversal.
7. Volume Patterns : Traders also analyze volume patterns, such as volume spikes or divergences, to identify potential trading opportunities or reversals.
8. Combination with Price Action: Volume analysis is often used in conjunction with price action analysis and other technical indicators to make more informed trading decisions.
9. Confirmation and Validation: It's important to confirm the significance of volume candles with other indicators or price action signals to avoid false signals.
10. Risk Management : As with any trading strategy, proper risk management is crucial when using volume candles to make trading decisions. Set stop-loss orders and adhere to risk management principles to protect your capital.
How the Script Works:
1. Volume Representation : Each candle on the chart represents a specific time period (e.g., 1 minute, 1 hour, 1 day) and includes information about both price movement and trading volume during that period.
2. Candlestick Anatomy : A volume candle has the same components as a regular candlestick: the body (which represents the opening and closing prices) and the wicks or shadows (which indicate the highest and lowest prices reached during the period).
3. Volume Bars : Instead of just the candlestick itself, volume candles also include a bar or histogram representing the trading volume during that period. The height or length of the volume bar indicates the amount of trading activity.
4. Interpreting Volume : High volume candles typically indicate increased market interest or activity during that period. This could be due to significant buying or selling pressure.
5. Confirmation : Traders often look for confirmation from other technical indicators or price action to validate the significance of a high volume candle. For example, a high volume candle breaking through a key support or resistance level may signal a strong market move.
6. Trend Strength : Volume candles can provide insights into the strength of a trend. A series of high volume candles in the direction of the trend suggests strong momentum, while decreasing volume may indicate weakening momentum or a potential reversal.
7. Volume Patterns : Traders also analyze volume patterns, such as volume spikes or divergences, to identify potential trading opportunities or reversals.
8. Combination with Price Action : Volume analysis is often used in conjunction with price action analysis and other technical indicators to make more informed trading decisions.
9. Confirmation and Validation : It's important to confirm the significance of volume candles with other indicators or price action signals to avoid false signals.
10. Risk Management : As with any trading strategy, proper risk management is crucial when using volume candles to make trading decisions. Set stop-loss orders and adhere to risk management principles to protect your capital.
Understanding volume candles can provide valuable insights into market dynamics and help traders make more informed decisions. However, like any technical tool, it's essential to use volume analysis in conjunction with other forms of analysis for comprehensive market assessment.
Understanding volume candles can provide valuable insights into market dynamics and help traders make more informed decisions. However, like any technical tool, it's essential to use volume analysis in conjunction with other forms of analysis for comprehensive market assessment.
Fine-tune Inputs: Fourier Smoothed Volume zone oscillator WFSVZ0Use this Strategy to Fine-tune inputs for the (W&)FSVZ0 Indicator.
Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data.
I suggest using "Close all" input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using "Close all" input as True, except for the lowest TimeFrame.
MEANINGFUL DESCRIPTION:
The Volume Zone oscillator breaks up volume activity into positive and negative categories. It is positive when the current closing price is greater than the prior closing price and negative when it's lower than the prior closing price. The resulting curve plots through relative percentage levels that yield a series of buy and sell signals, depending on level and indicator direction.
The Wavelet & Fourier Smoothed Volume Zone Oscillator (W&)FSVZO is a refined version of the Volume Zone Oscillator, enhanced by the implementation of the Discrete Fourier Transform . Its primary function is to streamline price data and diminish market noise, thus offering a clearer and more precise reflection of price trends.
By combining the Wavalet and Fourier aproximation with Ehler's white noise histogram, users gain a comprehensive perspective on volume-related market conditions.
HOW TO USE THE INDICATOR:
The default period is 2 but can be adjusted after backtesting. (I suggest 5 VZO length and NoiceR max length 8 as-well)
The VZO points to a positive trend when it is rising above the 0% level, and a negative trend when it is falling below the 0% level. 0% level can be adjusted in setting by adjusting VzoDifference. Oscillations rising below 0% level or falling above 0% level result in a natural trend.
HOW TO USE THE STRATEGY:
Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M.
When I ndicator/Strategy returns 0 or natural trend , Strategy Closes All it's positions.
ORIGINALITY & USFULLNESS:
Personal combination of Fourier and Wavalet aproximation of a price which results in less noise Volume Zone Oscillator.
The Wavelet Transform is a powerful mathematical tool for signal analysis, particularly effective in analyzing signals with varying frequency or non-stationary characteristics. It dissects a signal into wavelets, small waves with varying frequency and limited duration, providing a multi-resolution analysis. This approach captures both frequency and location information, making it especially useful for detecting changes or anomalies in complex signals.
The Discrete Fourier Transform (DFT) is a mathematical technique that transforms discrete data from the time domain into its corresponding representation in the frequency domain. This process involves breaking down a signal into its individual frequency components, thereby exposing the amplitude and phase characteristics inherent in each frequency element.
This indicator utilizes the concept of Ehler's Universal Oscillator and displays a histogram, offering critical insights into the prevailing levels of market noise. The Ehler's Universal Oscillator is grounded in a statistical model that captures the erratic and unpredictable nature of market movements. Through the application of this principle, the histogram aids traders in pinpointing times when market volatility is either rising or subsiding.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is oscillator?
Oscillators are chart indicators that can assist a trader in determining overbought or oversold conditions in ranging (non-trending) markets.
What is volume zone oscillator?
Price Zone Oscillator measures if the most recent closing price is above or below the preceding closing price.
Volume Zone Oscillator is Volume multiplied by the 1 or -1 depending on the difference of the preceding 2 close prices and smoothed with Exponential moving Average.
What does this mean?
If the VZO is above 0 and VZO is rising. We have a bullish trend. Most likely.
If the VZO is below 0 and VZO is falling. We have a bearish trend. Most likely.
Rising means that VZO on close is higher than the previous day.
Falling means that VZO on close is lower than the previous day.
What if VZO is falling above 0 line?
It means we have a high probability of a bearish trend.
Thus the indicator returns 0 and Strategy closes all it's positions when falling above 0 (or rising bellow 0) and we combine higher and lower timeframes to gauge the trend.
In the next Image you can see that trend is negative on 4h, negative on 12h and positive on 1D. That means trend is negative.
I am sorry, the chart is a bit messy. The idea is to use the indicator over more than 1 Timeframe.
What is approximation and smoothing?
They are mathematical concepts for making a discrete set of numbers a
continuous curved line.
Fourier and Wavelet approximation of a close price are taken from aprox library.
Key Features:
You can tailor the Indicator/Strategy to your preferences with adjustable parameters such as VZO length, noise reduction settings, and smoothing length.
Volume Zone Oscillator (VZO) shows market sentiment with the VZO, enhanced with Exponential Moving Average (EMA) smoothing for clearer trend identification.
Noise Reduction leverages Euler's White noise capabilities for effective noise reduction in the VZO, providing a cleaner and more accurate representation of market dynamics.
Choose between the traditional Fast Fourier Transform (FFT) , the innovative Double Discrete Fourier Transform (DTF32) and Wavelet soothed Fourier soothed price series to suit your analytical needs.
Image of Wavelet transform with FAST settings, Double Fourier transform with FAST settings. Improved noice reduction with SLOW settings, and standard FSVZO with SLOW settings:
Fast setting are setting by default:
VZO length = 2
NoiceR max Length = 2
Slow settings are:
VZO length = 5 or 7
NoiceR max Length = 8
As you can see fast setting are more volatile. I suggest averaging fast setting on 4h 12h 1d 2d 3d 4d W and M Timeframe to get a clear view on market trend.
What if I want long only when VZO is rising and above 15 not 0?
You have set Setting VzoDifference to 15. That reduces the number of trend changes.
Example of W&FSVZO with VzoDifference 15 than 0:
VZO crossed 0 line but not 15 line and that's why Indicator returns 0 in one case an 1 in another.
What is Smooth length setting?
A way of calculating Bullish or Bearish (W&)FSVZO .
If smooth length is 2 the trend is rising if:
rising = VZO > ta.ema(VZO, 2)
Meaning that we check if VZO is higher that exponential average of the last 2 elements.
If smooth length is 1 the trend is rising if:
rising = VZO_ > VZO_
Use this Strategy to fine-tune inputs for the (W&)FSVZO Indicator.
(Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data)
I suggest using " Close all " input False when fine-tuning Inputs for 1 TimeFrame . When you export data to Excel/Numbers/GSheets I suggest using " Close all " input as True , except for the lowest TimeFrame . I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
[FXAN] 77 Cygni Algorithm (Swing Trading)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the "Volume Impact" factor.
This information is then compared in relation to the overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current "Market Interest" factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this "Price Velocity" factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for "Market Interest"
Developing VA: To determine current fair price of the market (value area). Used for "Market Interest".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for "Volume Impact"
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for "Volume Impact"
Volume Price Trend (VPT): To help identify potential trends. Used for "Volume Impact".
Average True Range (ATR): Used for measuring volatility. Used for "Volume Impact" and "Price Velocity".
Average Daily Range (ADR): Used for measuring average market price movement. Used for "Price Velocity".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 77 Algorithm is a TradingView indicator designed to help determine higher timeframe market context and long-term market sentiment and trends. It analyzes the underlying volume behind market movements and colors the candles with the help of formulas that include technical analysis and market price action. It caters to traders looking for swing trading setups or additional perspectives for day trading sentiment.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Dynamic Support & Resistance Lines
▊ Dots | Above and below the candles
▊ Colored Bar | on the bottom of the chart
🔷 HOW DOES IT WORK?
□ Candle colors will indicate the general market trend from the technical analysis perspective. The calculation for this component uses price action concepts and segments from technical analysis, for example, candle/price structural breaks. Volume is not used for calculations of this component.
□ Dynamic Support & Resistance Lines indicate the current market structure from the technical analysis perspective. The calculation uses pure price action and structural analysis of the current market movements.
□ Candle Dots show what are the mid-term volume dynamics in the market by referencing the daily average price weighted by volume with the periods ranging from days to weeks. Candle Dots suggest what is the likely direction of the market's trend from the mid-term perspective. If the market is bullish, you’ll see the green dots printed below the candles, and if the market is bearish, the dots will color red and print above the candles.
□ Colored Bar analyzes long-term volume dynamics and the market's price action for the past three to six weeks, referencing average price weighted by volume. This makes it much less sensitive than the Candle Dots, so the colors won't change that often. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. These are valid trading signals (refer to the usage example below).
□ If all components are not in sync, we should look for at least two of them to be in sync, while one of them must be the Colored Bar.
□ Candle Colors: Looking for longs when the candles are green and looking for shorts when the colors are red
□ Dynamic Support & Resistance Lines: Used for placing entries and stop-loss limits. Using retest of the line for entry and placing the stop-loss beyond it. Or if we're entering based on other components, we can use the line to place the stop-loss beyond it.
□ Candle Dots: Looking to trade in the direction of the color. If the market is bullish, you’ll see the green dots, and if the market is bearish, the dots will color red.
□ Colored Bar: Most important component of this indicator, we favor trading in the direction suggested by this component. Additional confirmation of other components is a bonus. Colors here don't change that often, but once they do - it usually signals a long-term trend shift. Green color suggests a bullish market, trading long. Red color suggests bearish market, trading short.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves its own purpose and analyzes the market from its own perspective and with its own custom settings and formulas. The calculation of the individual component is done independently from the calculation of the other components. Once all of them align, we can execute trades with an edge as it signals that different aspects of volume and price analysis line up for the trading opportunity.
-Candle Colors performs technical analysis for you by displaying the colors of a favorable market direction based on the market's current technical structure.
- Dynamic Support & Resistance Lines are used for placing your entry/exit limit orders.
-Candle Dots are used to determine the favorable direction of the market based on Daily Volume Dynamics, with custom timeframe settings ranging from a couple of days to a couple of weeks.
-The Colored Bar is used to gauge the overall favorable trading direction based on Daily Volume Dynamics with custom timeframe settings ranging from 3 to 6 weeks.
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Assess the current most favorable market direction by referencing the Colored Bar. Look for longs if it’s green and for shorts if it’s red
2. Look for the Candle Dots to align with the Colored Bar, look for longs if it’s green and for shorts if it’s red
3. Look for the Candle Colors to align with the Colored Bar. Look for longs if it’s green and for shorts if it’s red
4. Place your SL level beyond the currently developing Support/Resistance line to protect your positions and look for exits once the colors change.
A valid example of the trade would be:
- Colored Bar is green, indicating the favorable trading directions is long
- Candle Dots are green, indicating the favorable trading directions is long
- Candle Colors are green, indicating the market structure is favorable to enter your positions
📊 USAGE EXAMPLE
[FXAN] 75 Cygni Algorithm (Day Trading)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the " Volume Impact " factor.
This information is then compared in relation to overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current " Market Interest " factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this " Price Velocity " factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for " Market Interest "
Developing VA: To determine current fair price of the market (value area). Used for " Market Interest ".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for " Volume Impact "
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for " Volume Impact "
Volume Price Trend (VPT): To help identify potential trends. Used for " Volume Impact ".
Average True Range (ATR): Used for measuring volatility. Used for " Volume Impact " and " Price Velocity" .
Average Daily Range (ADR): Used for measuring average market price movement. Used for " Price Velocity ".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 75 Algorithm is a TradingView indicator crafted to refine your market analysis and assist in identifying potential entry and exit points by analyzing the underlying volume behind market movements. It helps you determine the overall daily context of the market and its conditions/trends by offering a suite of features tailored to provide insights to traders across various market conditions.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Deviation Bands
▊ Momentum Bar | on the bottom of the chart
▊ Area of Interest (AOI) | Yellow rectangle
🔷 HOW DOES IT WORK?
□ Candles will color in reference to the dominance of buyers or sellers based on underlying volume calculated by a proprietary formula. The green color indicates that buyers are in control, and the red color indicates the selling volume is dominating the market. To simplify, green means there's more buying - red means there's more selling.
□ Deviation bands are used to determine potential trade entries and exits, derived by average price weighted by volume.
□ Momentum Bar shows market momentum by analyzing the differences between multiple moving averages. Green is bullish; red is bearish. The colors will lighten up when momentum is strong, and once the market slows down, they will get darker.
□ Area of Interest (AOI) is used for contextual reference, derived from the previous day's market movements. They remain static throughout the current day.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. This are valid trading signals (refer to the usage example below).
□ Candle Colors: Looking for longs when the candles are green, and looking for shorts when the colors are red
□ Deviation Bands: Once we enter the trade, we can place the SL and TP levels at the closest bands.
□ Momentum Bar: Helps with the timing of the entry, looking to enter on light Green/Red colors. Longs when green and shorts when red.
□ Area Of Interest: Generally, we're expecting rotational conditions inside the area and breakouts above/below once the market price gets outside of it. Longs above the area and shorts below the area for breakouts.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves it's own purpose and analyzes the market from it's own perspective and with its own custom settings and formulas (one looks at trading direction from the perspective of the overall trend and the other looks at price volatility to measure momentum - different perspectives). The calculation of the individual component is done independently from other components. Once all of them align we're able to execute trades with edge as it signals that different aspects of volume and price analysis line up for the trading opportinity.
- Candle Colors are used for determining trading direction
- Deviation bands are used for determining TP/SL levels
- Momentum bar is used to for better timing of your entries/exits.
- AOI is used to help you determine potential market conditions
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Determine the direction you want to trade in with the help of Candle Colors
2. Assess the current market price in reference to AOI - look for longs if the price is above the AOI, shorts if the price is below AOI, and rotations if it's inside the AOI.
3. Wait for the right momentum to develop to improve the timing of the entry by using Momentum Bar.
4. Place TP/SL levels with the help of Deviation bands based on your risk appetite.
A valid example of the trade would be:
- Green Candle Colors (indicating longs)
- Market price is currently above the AOI or breaking the edge of AOI in the upside movement (indicating longs)
- Momentum Bar is Green (indicating long momentum)
- Placing SL to the closest Deviation Band below the price and TP to the closest Deviation Band above the price.
📊 USAGE EXAMPLES
[FXAN] 71 Cygni Algorithm (Scalping)⚜️ FXAN CYGNI INDICATORS ORIGINALITY
Originality comes from proprietary formula we use to measure the relationship between Volume and Price Volatility in relation to overall current market positioning in developing Volume Profile and multiple custom period Volume Profiles. We combine that with our own approach to measure price velocity in correlation to average daily/weekly/monthly ranges of the given market.
The relationship between current volume and price volatility gives us information about how much the volume that is currently coming into the market affects the price movement (volatility) and which side is more dominant/involved in the market (Buyers/Sellers). We call this the "Volume Impact" factor.
This information is then compared in relation to the overall current market positioning in developing Volume Profile and Multiple custom period Volume Profiles. We have created a rating system based on current price positioning in relation to the Volume Profile. Volume profile consists of different volume nodes, high volume nodes where we consider market interest to be high (a lot of transactions - High Volume) and low volume nodes where we consider market interest to be low (not a lot of transactions - Low Volume). We call this the current "Market Interest" factor.
We combine this information with our own approach to measure price velocity in correlation to the higher-timeframe price ranges. Calculation is done by measuring current ranges of market movement in correlation to average daily/weekly/monthly ranges. We call this "Price Velocity" factor.
This approach was applied to develop key components of our Tradingview Indicators, we've simplified some of the calculations and made them easy to use by programming them to display buying/selling volume pressure with colors.
In addition to our own proprietary formulas and criterias to measure volume impact on price, we've also used an array of indicators that measure the percentage change in volume over custom specified periods of time, including custom period ranged Volume Profile, Developing VA, Accumulation/Distribution (A/D Line), Volume Rate of Change (VROC), Volume Price Trend (VPT) - all of them with of course fine-tuned settings to fit the purpose in the overall calculation.
Reasons for multiple indicator use:
Custom period ranged Volume Profiles: To determine current interest of market participants. Used for "Market Interest"
Developing VA: To determine current fair price of the market (value area). Used for "Market Interest".
Accumulation/Distribution (A/D Line): Helping to gauge the strength of buying and selling pressure. Used for "Volume Impact"
Volume Rate of Change (VROC): To give us information about percentage change in volume. Used for "Volume Impact"
Volume Price Trend (VPT): To help identify potential trends. Used for "Volume Impact".
Average True Range (ATR): Used for measuring volatility. Used for "Volume Impact" and "Price Velocity".
Average Daily Range (ADR): Used for measuring average market price movement. Used for "Price Velocity".
How it all works together:
"Volume Impact" factor tells us the influence of incoming market volume on price movement. This information alongside the overall market positioning information derived from "Market Interest" factor combined with information about speed and direction relative to higher-timeframe price ranges frin "Price Velocity.
This is the basis of our proprietary developed Volume Dynamics analysis approach
"Volume Impact" x "Market Interest" x "Price Velocity"
Combining this factors together gives a good overall understanding of which side is currently more involved in the market to gauge the direction ("Volume Impact"), where the market is currently positioned to gauge the context ("Market Interest") and what the current market's momentum to improve the timing of our trades ("Price Velocity"). This increases our probabilities for successful trades, executed with good timing.
To simplify - our indicators will always analyze the volume behind every price movement and rate those movements based on the relationship between movement distance and volume behind it through an array of criterias and rate them.
Colors displayed by the indicators will be a result of that, suggesting which side of the market (Buyers or sellers) is currently more involved in the market, aiming to increase the probabilities for profitable trades. With the help of our indicators you have deep volume analysis behind price movements done without looking at anything else then indicator components.
🔷 OVERVIEW
Cygni 71 Algorithm is a TradingView indicator designed for short-term trading (scalping) and enhancing the precision of your entries/exits based on a higher timeframe market context. It analyzes the underlying volume behind market movements and colors the candles with the help of the Heiken-Ashi methodology to provide a clearer perspective on the market's potential direction and intentions.
🔷 KEY FEATURES
▊ Candle Coloring
▊ Upper Colored Bar
▊ Lower Colored Bar
🔷 HOW DOES IT WORK?
□ Candles will color in reference to the Heiken ashi "average bar" methodology, which uses a modified formula based on two-period averages. This way, you can observe the normal candlesticks with less noise as colors will suggest the most likely direction where the market might be heading.
□ Upper Colored Bar analyzes daily volume dynamics in the market's price action by referencing the daily average price weighted by volume. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
□ Lower Colored Bar analyzes volume dynamics and the market's price action every few second and minute intervals by referencing average price weighted by volume. This makes it much more sensitive than the Upper Colored Bar. If the market is bullish, you’ll see the green bars, and if the market is bearish, the bars will color red.
🔷 HOW TO USE IT?
□ In general, we look for areas where all components are in sync. These are valid trading signals (refer to the usage example below).
□ If all components are not in sync, we should look for at least two of them to be in sync while one of them must be Upper Colored Bar.
□ Candle Colors: Looking for longs when the candles are green and looking for shorts when the colors are red
□ Upper Colored Bar: The most important component of this indicator is that we favor trading in the direction suggested by this component. Additional confirmation of other components is a bonus. The green color suggests a bullish market, trading long. Red color suggests bearish market, trading short.
□ Lower Colored Bar: This should not be used on its own but always combined with at least one of the other components due to its sensitivity. Colors are indicating longs when green and shorts when red.
🔷 COMBINING THE COMPONENTS
Each component of the indicator serves it's own purpose and analyzes the market from it's own perspective and with its own custom settings and formulas. The calculation of the individual component is done independently from other components. Once all of them align, we're able to execute trades with an edge as it signals that different aspects of volume and price analysis line up for the trading opportunity.
- Candle Colors are used for improving the timing of your entries/exits based on market structure
- Upper Colored Bar is used for determining the favorable direction of the market based on Daily Volume Dynamics.
- Lower Colored Bar used for determining the favorable direction of the market based on Second/Minute/3-minute Volume Dynamics.
It's important to combine the components to increase the probability of success - here's how you should look for a trade:
1. Assess the current most favorable market direction by referencing the Upper Colored bar, look for longs if it’s green and for shorts if it’s red
2. Look for the Candle Colors to align with the Upper Colored bar, look for longs if it’s green and for shorts if it’s red
3. Look for short-time frame volume dynamics to align with your entries, by referencing the Lower Colored Bar - look for longs if it’s green and for shorts if it’s red.
A valid example of the trade would be:
- Upper Colored Bar is green, indicating the favorable trading directions is long
- Lower Colored Bar is green, indicating the favorable trading directions is long
- Candle Colors are green, indicating the market structure is favorable to enter your positions
📊 USAGE EXAMPLE
Volume spike detection🔶What it is ?
Volume spike detection that is a tool to help you to define Volume spike better to know whether that is a real signal to focus to trade/invest or you should skip it.
This indicator will measure the current trading volume and then compare with average trading volume to give out volume spike signal. A candle has volume spike that will be marked by a yellow dot below the candle.
Our purpose is, help traders to define Volume spike faster and easier by automation tools and save time during analyzation to give out an exactly investing decision.
What is Volume spike in detail ?
To help you to undertand better about Volume spike, please refer to below picture :
We're having some candles that their trading volume are higher than average volume (blue line on the bottom of chart). They're candles with volume spike and giving us the signal about a huge money flow joined to Bitcoin at that time. You should be careful if you're taking any position that is reversal with these trading volume.
🔶 Who can use it ?
1. All traders who are using NCI, ICT , Smart money concepts, MACD system and other systems...
2. Recommend to use it for H1 timeframe and higher
3. All traders who are trading on Forex, Crypto, Stock, Indicies...
4. All traders who are new or experienced traders
5. Recommend to use for investing or long swing trader
🔶 The purpose of indicator
1. Define big money flow when it joined to market.
2. Helping trader to define MOMENTUM of WAVE
3. Helping trader to define MOMENTUM of candle/price patterns
4. Always "Empty your mind" during Trading because you checked chart less with automation tool.
🔶 How will indicator appear on chart
After you added it on chart, indicator will mearsure and give out the candle having volume spike. Indicator will mark a yellow dot right below the candle for you to recognize the power better.
🔶 INPUT value
There're 2 input value that you can change if you need :
1. Spike ratio % : The value is over from average trading volume
As above picture, you can see we're having 3 volume that is over average trading volume.
The gap is from average value to highest trading volume is spike ratio.
2. Trading period : Here is length of period you want to compare.
For example, you want calculate average volume of 20 periods before as standard to compare and judge a volume spike.
I recommend to set these numbers as default.
🔶 How to use indicator
After setting indicator, indicator will mearsure and run automatically to mark volume spike below the candles on your chart.
You can combine volume spike with your own system to define momentum of wave, price patterns to trade or invest normally.
I hope this indicator help you to trade more effectively.
Day Open Line + SMA 8/3 Crossover + BollingerHow Users Can Make Profit Using This Script:
DAYS OPEN LINE:
1.Purpose: Publishing a "Days Open Line" indicator serves to inform customers about the operational schedule of a business or service.
2.Visibility: It ensures that the information regarding the days of operation is easily accessible to current and potential customers.
3.Transparency: By making the operational schedule public, businesses demonstrate transparency and reliability to their customers.
4.Accessibility: The indicator should be published on various platforms such as the business website, social media channels, and physical locations to ensure accessibility to a wide audience.
5.Clarity: The information should be presented in a clear and concise manner, specifying the days of the week the business is open and the corresponding operating hours.
6.Updates: It's important to regularly update the "Days Open Line" indicator to reflect any changes in the operational schedule, such as holidays or special events.
7.Customer Convenience: Providing this information helps customers plan their visits accordingly, reducing inconvenience and frustration due to unexpected closures.
8.Expectation Management: Setting clear expectations regarding the business hours helps manage customer expectations and reduces the likelihood of disappointment or complaints.
9.Customer Service: Publishing the "Days Open Line" indicator demonstrates a commitment to customer service by ensuring that customers have the information they need to engage with the business.
10.Brand Image: Consistently .maintaining and updating the indicator contributes to a positive brand image, as it reflects professionalism, reliability, and a customer-centric approach.
SMA CROSS:
1.This indicator generates buy and sell signals based on the crossover of two Simple Moving Averages (SMA): a shorter 3-day SMA and a longer 8-day SMA.
When the 3-day SMA crosses above the 8-day SMA, it generates a buy signal indicating a potential upward trend.
Conversely, when the 3-day SMA crosses below the 8-day SMA, it generates a sell signal indicating a potential downward trend.
Signal Interpretation:
2.Buy Signal: Generated when the 3-day SMA crosses above the 8-day SMA.
Sell Signal: Generated when the 3-day SMA crosses below the 8-day SMA.
Usage:
3.Traders can use this indicator to identify potential entry and exit points in the market.
Buy signals suggest a bullish trend, indicating a favorable time to enter or hold a long position.
4.Sell signals suggest a bearish trend, indicating a potential opportunity to exit or take a short position.
Parameters:
5.Periods: 3-day SMA and 8-day SMA.
Price: Closing price is commonly used, but users can choose other price types (open, high, low) for calculation.
Confirmation:
6.It's recommended to use additional technical analysis tools or confirmatory indicators to validate signals and minimize false signals.
Risk Management:
7.Implement proper risk management strategies, such as setting stop-loss orders, to mitigate losses in case of adverse price movements.
Backtesting:
8.Before using the indicator in live trading, conduct thorough backtesting to evaluate its effectiveness under various market conditions.
Considerations:
9.While SMA crossovers can provide valuable insights, they may generate false signals during ranging or choppy markets.
Combine this indicator with other technical analysis techniques for comprehensive market analysis.
Continuous Optimization:
10.Monitor the performance of the indicator and adjust parameters or incorporate additional filters as needed to enhance accuracy over time.
BOLLINGER BAND:
1.Definition: A Bollinger Band indicator is a technical analysis tool that consists of a centerline (typically a moving average) and two bands plotted above and below it. These bands represent volatility around the moving average.
2.Purpose: Publishing a Bollinger Band indicator serves to provide traders and investors with insights into the volatility and potential price movements of a financial instrument.
3.Visualization: The indicator is typically displayed on price charts, allowing users to visualize the relationship between price movements and volatility levels.
4.Interpretation: Traders use Bollinger Bands to identify overbought and oversold conditions, potential trend reversals, and volatility breakouts.
5.Components: The indicator consists of three main components: the upper band, lower band, and centerline (usually a simple moving average). These components are calculated based on standard deviations from the moving average.
6.Parameters: Traders can adjust the parameters of the Bollinger Bands, such as the period length and standard deviation multiplier, to customize the indicator based on their trading strategy and preferences.
7.Signals: Bollinger Bands generate signals when prices move outside the bands, indicating potential trading opportunities. For example, a price breakout above the upper band may signal a bullish trend continuation, while a breakout below the lower band may indicate a bearish trend continuation.
8.Confirmation: Traders often use other technical indicators or price action analysis to confirm signals generated by Bollinger Bands, enhancing the reliability of their trading decisions.
9.Education: Publishing Bollinger Band indicators can serve an educational purpose, helping traders learn about technical analysis concepts and how to apply them in real-world trading scenarios.
10.Risk Management: Traders should exercise proper risk management when using Bollinger Bands, as false signals and market volatility can lead to losses. Publishing educational content alongside the indicator can help users understand the importance of risk management in trading.
VWAP:
1.Calculation: VWAP is calculated by dividing the cumulative sum of price times volume traded for every transaction (price * volume) by the total volume traded.
2.Time Frame: VWAP is typically calculated for a specific time frame, such as a trading day or a session.
3.Intraday Trading: It's commonly used by intraday traders to assess the fair value of a security and to determine if the current price is above or below the average price traded during the day.
4.Execution: Institutional traders often use VWAP as a benchmark for executing large orders, aiming to buy at prices below VWAP and sell at prices above VWAP.
5.Benchmark: It serves as a benchmark for traders to evaluate their trading performance. Trades executed below VWAP are considered good buys, while those above are considered less favorable.
6.Sensitivity: VWAP is more sensitive to price and volume changes during periods of high trading activity and less sensitive during periods of low trading activity.
7.Day's End: VWAP resets at the end of each trading day, providing a new reference point for the following trading session.
8.Volume Weighting: The weighting by volume means that prices with higher trading volumes have a greater impact on VWAP than those with lower volumes.
9.Popular with Algorithmic Traders: Algorithmic trading systems often incorporate VWAP strategies to execute trades efficiently and minimize market impact.
10.Limitations: While VWAP is a useful indicator, it's not foolproof. It may lag behind rapidly changing market conditions and may not be suitable for all trading strategies or market conditions. Additionally, it's more effective in liquid markets where there is significant trading volume.
How the Script Works:
1.Utilizes Day Open Line for accurate market entry points.
2.Identifies bullish trends with SMA 3 crossover SMA 8.
3.Signals potential sell opportunities with SMA 8 crossunder SMA 3.
4.Bollinger Bands indicate overbought and oversold conditions.
5.VWAP offers insights into average price levels weighted by volume.
6.Combination of indicators enhances trade confirmation.
7.Facilitates precise timing for buy and sell decisions.
8.Enables traders to capitalize on market volatility.
9.Empowers users to navigate dynamic market conditions.
10.Supports profitable trading strategies with comprehensive analysis.
11.It is known when the market is sideways.
Money Flow Profile [LuxAlgo]The Money Flow Profile is a charting tool that measures the traded volume or the money flow at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
This tool combines a volume/money flow profile, a sentiment profile, and price levels, where the right side of the profile highlights the distribution of the traded activity/money flow at different price levels, the left side of the profile highlights the market sentiment at those price levels, and in the middle the price levels.
🔶 USAGE
A volume/money flow profile is an advanced charting tool that displays the traded volume/money flow at different price levels over a specific period. It helps traders visualize where the majority of trading activity/money flow has occurred.
A sentiment profile is a difference between buy and sell volume/money flow aiming to highlight the sentiment/dominance at specific price levels.
Each row of the profile presents figures on volume and money flow specific to price levels.
High volume/money flow nodes indicate areas of high activity and are likely to act as support or resistance in the future. They attract price and try to hold it there. Conversely, low-volume nodes are areas with low trading activity, that are less subject to get revisited by the price. The market often bounces right over these levels, not staying for long. The "Profile Heatmap" option of the script helps to better emphasize the trading activity within each areas.
By measuring the traded activity at each price level the script presents an ability to highlight the consolidation zones, in other words, highlights accumulation and distribution zones. When the price moves toward one end of the consolidation and volume pick up, it can foreshadow a potential breakout.
Level of Significance, Point of Control, Highest Sentiment Zone, and Profile Price levels are some of the other profile-related options available with the script.
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Profile Generic Settings
Lookback Length / Fixed Range: Sets the lookback length.
Profile Source: Sets the profile source, Volume, or Money Flow.
🔹 Profile Presentation Settings
Volume/Money Flow Profile: Toggles the visibility of the Volume/Money Flow Profile.
High Traded Nodes: Threshold and Color option for high traded nodes.
Average Traded Nodes: Color option for average traded nodes.
Low Traded Nodes: Threshold and Color option for low traded nodes.
🔹 Sentiment Profile Settings
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Sentiment Polarity Method: Sets the method used to calculate the up/down volume/money flow.
Bullish Nodes: Color option for Bullish Nodes.
Bearish Nodes: Color option for Bearish Nodes.
🔹 Profile Heatmap Settings
Profile Heatmap: Toggles the visibility of the profile heatmap.
Heatmap Source: Sets the source of the profile heatmap, Volume/Money Flow Profile, or Sentiment Profile.
Heatmap Transparency: Control the transparency of the profile heatmap.
🔹 Other Presentation Settings
Level of Significance: Toggles the visibility of the level of significance line/zone.
Consolidation Zones: Toggles the visibility of the consolidation zones.
Consolidation Threshold, Color: Sets the threshold value and zone color.
Highest Sentiment Zone: Toggles the visibility of the highest bullish or bearish sentiment zone.
Profile Price Levels, Color, Size: Toggles the visibility of the profile price levels, and sets the color and the size of the level labels.
Profile Range Background Fill: Toggles the visibility of the profiles range.
🔹 Other Settings
Number of Rows: Specify how many rows each profile histogram will have.
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Text Size: Alters the size of the text. Setting to Auto will keep the text within the box limits.
Profile Horizontal Offset: Enables to move profile in the horizontal axis.
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Swing-Volume-Profiles
For more and other conceptual scripts you are kindly invited to visit LuxAlgo-Scripts .
USD VolumeA volume tool but the candles represent Volume in USD Format which is usually
here are some examples of what the numbers represent on the right-hand side.
.01 = $10,000
.5 = $500,000
1 = $1,000,000
50 = $50,000,000
250 = $250,000,000
1000 = $1,000,000,000
The lower line is the "Average Volume" based on lifetime history. Anytime volume is below average, this likely denotes most people have capitulated or the markets have grown bored at these price ranges. A squeeze in volume primes the asset for a big move.
The upper line is the 3rd standard of Deviation from the average line. Anytime volume touches that line or goes higher, this denotes its a very big move relative to how the asset typically trades. If the volume stays above this range for an extended period of time, it would be wise to watch the chart closely and start taking profits off the table whether you're shorting or longing the asset.
VWAP SuiteThis indicator automates the plotting of various timeframe based VWAP Values. This utilizes a different calculation method for the standard deviations bands compared to the native Tradingview AVWAP. While the Tradingview AVWAP indicator calculates the standard devation based on the VWAP variance, this indicator calculates the std dev based on the price sum variance (i.e. the variance of the hlc3, ohlc4, etc. values).
Current timeframes include:
- Daily VWAP with three user configurable standard deviation bands
- Multi-Day VWAP that allows you to plot 2-day to 5-day VWAP
- Weekly VWAP with three user configurable standard deviation bands
- Monthly VWAP with three user configurable standard deviation bands
Some unique aspects of this indicator is that it allows the user to calculate VWAP for only a specific session range if you are only interested in the VWAP when specific participants are active in the market. For example, the default session range only calculates VWAP for the New York RTH session (0930-1600).
If the user wants to compare how the session range chosen varies from the VWAP calculation with ETH you can select the 'Include Extended Trading Hours' check box which will ignore the session range input variable and simply calculate what is exactly on the chart without filtering.
You can also toggle whether the VWAP values show up in the price scale, status line, or both which can limit the amount of clutter that shows up on the chart based upon the user's preferences.
Fine-Tune Inputs: Fourier Smoothed Hybrid Volume Spread AnalysisUse this Strategy to Fine-tune inputs for the HSHVSA Indicator.
Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data.
I suggest using " Close all " input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using " Close all " input as True , except for the lowest TimeFrame.
MEANINGFUL DESCRIPTION:
The Fourier Smoothed Hybrid Volume Spread Analysis (FSHVSA) Strategy/Indicator is an innovative trading tool designed to fuse volume analysis with trend detection capabilities, offering traders a comprehensive view of market dynamics.
This Strategy/Indicator stands apart by integrating the principles of the Discrete Fourier Transform (DFT) and volume spread analysis, enhanced with a layer of Fourier smoothing to distill market noise and highlight trend directions with unprecedented clarity.
This smoothing process allows traders to discern the true underlying patterns in volume and price action, stripped of the distractions of short-term fluctuations and noise.
The core functionality of the FSHVSA revolves around the innovative combination of volume change analysis, spread determination (calculated from the open and close price difference), and the strategic use of the EMA (default 10) to fine-tune the analysis of spread by incorporating volume changes.
Trend direction is validated through a moving average (MA) of the histogram, which acts analogously to the Volume MA found in traditional volume indicators. This MA serves as a pivotal reference point, enabling traders to confidently engage with the market when the histogram's movement concurs with the trend direction, particularly when it crosses the Trend MA line, signalling optimal entry points.
It returns 0 when MA of the histogram and EMA of the Price Spread are not align.
WHAT IS FSHVSA INDICATOR:
The FSHVSA plots a positive trend when a positive Volume smoothed Spread and EMA of Volume smoothed price is above 0, and a negative when negative Volume smoothed Spread and EMA of Volume smoothed price is below 0. When this conditions are not met it plots 0.
HOW TO USE THE STRATEGY:
Here you fine-tune the inputs until you find a combination that works well on all Timeframes you will use when creating your Automated Trade Algorithmic Strategy. I suggest 4h, 12h, 1D, 2D, 3D, 4D, 5D, 6D, W and M.
ORIGINALITY & USEFULNESS:
The FSHVSA Strategy is unique because it applies DFT for data smoothing, effectively filtering out the minor fluctuations and leaving traders with a clear picture of the market's true movements. The DFT's ability to break down market signals into constituent frequencies offers a granular view of market dynamics, highlighting the amplitude and phase of each frequency component. This, combined with the strategic application of Ehler's Universal Oscillator principles via a histogram, furnishes traders with a nuanced understanding of market volatility and noise levels, thereby facilitating more informed trading decisions.
DETAILED DESCRIPTION:
My detailed description of the indicator and use cases which I find very valuable.
What is the meaning of price spread?
In finance, a spread refers to the difference between two prices, rates, or yields. One of the most common types is the bid-ask spread, which refers to the gap between the bid (from buyers) and the ask (from sellers) prices of a security or asset.
We are going to use Open-Close spread.
What is Volume spread analysis?
Volume spread analysis (VSA) is a method of technical analysis that compares the volume per candle, range spread, and closing price to determine price direction.
What does this mean?
We need to have a positive Volume Price Spread and a positive Moving average of Volume price spread for a positive trend. OR via versa a negative Volume Price Spread and a negative Moving average of Volume price spread for a negative trend.
What if we have a positive Volume Price Spread and a negative Moving average of Volume Price Spread?
It results in a neutral, not trending price action.
Thus the Indicator/Strategy returns 0 and Closes all long and short positions.
In the next Image you can see that trend is negative on 4h, we just move Negative on 12h and Positive on 1D. That means trend/Strategy flipped negative .
I am sorry, the chart is a bit messy. The idea is to use the indicator/strategy over more than 1 Timeframe.
Use this Strategy to fine-tune inputs for the HSHVSA Indicator.
(Strategy allows you to fine-tune the indicator for 1 TimeFrame at a time; cross Timeframe Input fine-tuning is done manually after exporting the chart data)
I suggest using " Close all " input False when fine-tuning Inputs for 1 TimeFrame. When you export data to Excel/Numbers/GSheets I suggest using " Close all " input as True , except for the lowest TimeFrame. I suggest using 100% equity as your default quantity for fine-tune purposes. I have to mention that 100% equity may lead to unrealistic backtesting results. Be avare. When backtesting for trading purposes use Contracts or USDT.
1. [Pufferman] - Comprehensive VolumeThis indicator presents a comprehensive approach to volume analysis, incorporating several key metrics to provide traders with a detailed view of market activity. Here's what's included:
1. Cumulative Relative Volume (Intraday): This metric accumulates volume data throughout the day, comparing it to historical session averages up to the current time. It's particularly useful for intraday analysis to determine if the stock is trading high or low volume before the day is over.
2. Real Relative Volume - This feature calculates the relative volume of a stock in comparison to the SPY, offering insight into whether a stock is trading with higher relative volume than the broader market.
3. Configurable Moving Average for Volume: Users can adjust the moving average period for average volume, allowing for flexible adaptation to different trading strategies and time frames. (green line in photo)
4. Above/Below Average Line: This line indicates whether the current volume bar exceeds or falls short of the session's average volume, providing immediate context for volume analysis. (red line in photo).
5. Volume Display in Abbreviations: Actual volume figures are presented in an abbreviated format, using "K" for thousands and "M" for millions, facilitating quick and easy analysis.
6. Color-Coded Relative and Real Relative Volume: Both the Relative Volume (RVOL) and Real Relative Volume (RRVOL) are color-coded to instantly convey volume concentration levels, enhancing visual analysis across multiple charts.
7. Volume Bars with Bullish and Bearish Highlights: Traditional volume bars are color-highlighted according to corresponding candle patterns, aiding in the identification of market sentiment.
Key Points:
The RVOL is a cumulative metric, considering time-of-day volume comparisons for intraday analysis. This approach offers a nuanced understanding of volume patterns specific to the timeframe being viewed.
The RRVOL provides a comparative analysis against the market, offering insights into stock-specific volume activity relative to market trends.
Note: This indicator is designed for intraday analysis and may not function as intended on timeframes above daily due to the cumulative nature of its volume calculations.
Effective Volume Z-ScoreThis indicator aims at responding the question: is the current trend supported by volume?
The concept and formula
The central concept is the Effective Volume, calculated as follow:
effectiveVolume = volume * (close - open) / (high - low)
Then the Effective Volume Z-Score indicator is calculated by smoothing the effective volume and applying the z-score function:
zscore(x) = (x - mean) / stdev
Essentially, the indicator's value represents the number of standard deviations of the effective volume away from the mean.
How to use it
This indicator should be used for trend confirmation.
For an uptrend, the bigger the indicator value, the greater the volume support, while for a downtrend, the lower the indicator value, the greater the volume support.
Divergences are also important, as with every volume indicator.
Liquidity Finder v2.0Description:
The Liquidity Finder v2.0 is a powerful technical indicator designed to identify divergence between volume and price movements in financial markets. Divergence occurs when there is a significant disparity between trading volume and price action, often signaling potential changes in market direction or trends.
This indicator calculates the relative volume and relative price change over a user-defined lookback period. Relative volume is determined by comparing the current volume to the average volume over the specified period, while relative price change compares the current price change to the average price change over the same period.
Key Features:
Customizable parameters allow users to adjust the lookback period, volume threshold, and price threshold to suit their trading preferences.
Divergence detection is visually represented by changing the color of price bars, making it easy for traders to identify potential trading opportunities.
Alerts can be set to notify traders when divergence is detected, enabling timely decision-making and trade execution.
The Volume-Price Divergence Detector is a valuable tool for traders and investors seeking to enhance their technical analysis toolkit. By spotting divergence between volume and price movements, traders can anticipate potential trend reversals or continuations, leading to more informed trading decisions and improved trading outcomes.
Periodic Activity Tracker [LuxAlgo]The Periodic Activity Tracker tool periodically tracks the cumulative buy and sell volume in a user-defined period and draws the corresponding matching bars and volume delta for each period.
Users can select a predefined aggregation period from the following options: Hourly, Daily, Weekly, and Monthly.
🔶 USAGE
This tool provides a simple and clear way of analyzing volumes for each aggregated period and is made up of the following elements:
Buy and sell volumes by period as red and green lines with color gradient area
Delta (difference) between buy & sell volume for each period
Buy & sell volume bars for each period
Separator between lines and bars, and period tags below each pair of bars for ease of reading
On the chart above we can see all the elements displayed, the volume level on the lines perfectly matches the volume level on the bars for each period.
In this case, the tool has the default settings so the anchor period is set to Daily and we can see how the period tag (each day of the week) is displayed below each pair of bars.
Users can disable the delta display and adjust the bar size.
🔹 Reading The Tool
In trading, assessing the strength of the bulls (buyers) and bears (sellers) is key to understanding the current trading environment. Which side, if any, has the upper hand? To answer this question, some traders look at volume in relation to price.
This tool provides you with a view of buy volume versus sell volume, allowing you to compare both sides of the market.
As with any volume tool, the key is to understand when the forces of the two groups are balanced or unbalanced.
As we can observe on the chart:
NOV '23: Buy volume greater than sell volume, both moving up close together, flat delta. We can see that the price is in range.
DEC '23: Buy volume bigger than Sell volume, both moving up but with a bigger difference, bigger delta than last month but still flat. We can see the price in the range above last month's range.
JAN '24: Buy and sell volume tied together, no delta whatsoever. We can see the price in range but testing above and below last month's range.
FEB '24: Buy volume explodes higher and sell volume cannot keep up, big growing delta. Price explodes higher above last month's range.
Traders need to understand that there is always an equal number of buyers and sellers in a liquid market, the quality here is how aggressive or passive they are. Who is 'attacking' and who is 'defending', who is using market orders to move prices, and who is using limit orders waiting to be filled?
This tool gives you the following information:
Lines: if the top line is green, the buyers are attacking, if it is red, the sellers are attacking.
Delta: represents the difference in their strength, if it is above 0 the buyers are stronger, if it is below 0 the sellers are stronger.
Bars: help you to see the difference in strength between buyers and sellers for each period at a glance.
🔹 Anchor Period
By default, the tool is set to Hourly. However, users can select from a number of predefined time periods.
Depending on the user's selection, the bars are displayed as follows:
Hourly : hours of the current day
Daily : days of the current week
Weekly : weeks of the current month
Monthly : months of the current year
On the chart above we can see the four periods displayed, starting at the top left and moving clockwise we have hourly, daily, weekly, and monthly.
🔶 DETAILS
🔹 Chart TimeFrame
The chart timeframe has a direct impact on the visualization of the tool, and the user should select a chart timeframe that is compatible with the Anchor period in the tool's settings panel.
For the chart timeframe to be compatible it must be less than the Anchor period parameter. If the user selects an incompatible chart timeframe, a warning message will be displayed.
As a rule of thumb, the smaller the chart timeframe, the more data the tool will collect, returning indications for longer-term price variations.
These are the recommended chart timeframes for each period:
Hourly : 5m charts or lower
Daily : 1H charts or lower
Weekly : 4H charts or lower
Monthly : 1D charts or lower
🔹 Warnings
This chart shows both types of warnings the user may receive
At the top, we can see the warning that is given when the 'Bar Width' parameter exceeds the allowed value.
At the bottom is the incompatible chart timeframe warning, which prompts the user to select a smaller chart timeframe or a larger "Anchor Period" parameter.
🔶 SETTINGS
🔹 Data Gathering
Anchor period: Time period representing each bar: hours of the day, days of the week, weeks of the month, and months of the year. The timeframe of the chart must be less than this parameter, otherwise a warning will be displayed.
🔹 Style
Bars width: Size of each bar, there is a maximum limit so a warning will be displayed if it is reached.
Volume color
Delta: Enable/Disable Delta Area Display
