CZ Parabolic SAR + MAThe "CZ Parabolic SAR + MA" indicator combines a Parabolic SAR (PSAR) and a Moving Average (MA) to generate buy and sell signals, with an optional noise filter based on the MA. Here's a breakdown of how to use the indicator and its key parameters:
Key Features:
Parabolic SAR helps identify potential reversals by plotting dots above or below the price.
Moving Average smooths out price action and can be shifted forward or backward.
Noise Filter can be toggled on/off to reduce signals when the price doesn't align with the moving average.
How to Use the Indicator:
Parabolic SAR:
Green dots: Indicate a potential buy signal when the PSAR crosses below the price.
Red dots: Indicate a potential sell signal when the PSAR crosses above the price.
Buy/Sell Signals:
BUY: Occurs when the PSAR crosses below the price, and the price is above the moving average (if the filter is enabled).
SELL: Occurs when the PSAR crosses above the price, and the price is below the moving average (if the filter is enabled).
Noise Filter:
If enabled, the indicator will only trigger buy/sell signals if the price is also aligned with the moving average (above for buy, below for sell).
Moving Average:
A simple moving average (SMA) is plotted as a green line on the chart.
The moving average can be shifted forward or backward using the "MA Shift" parameter.
Parameters Explained:
Parabolic SAR Step (Default: 0.02): Controls the sensitivity of the PSAR dots. A smaller step results in dots closer to price, while a larger step results in dots further away.
Parabolic SAR Max (Default: 0.2): The maximum step size the PSAR can reach. This affects how quickly the dots move in strong trends.
Moving Average Period (Default: 6): The number of periods used to calculate the simple moving average. Adjust this to smooth out price action more or less.
MA Shift (Default: 0): Shifts the moving average line. Positive values shift it forward, and negative values shift it backward.
Enable Moving Average Filter (Default: True): Enables or disables the noise filter. If enabled, buy/sell signals require alignment with the moving average.
Cerca negli script per "Buy sell"
Mxwll OptAlgoIntroducing the Mxwll OptAlgo
Mxwll OptAlgo is a sophisticated algorithmic trading tool designed to identify potential long and short signals. It leverages an optimized combination of the M-Swift average, M-Smooth average, and M-RSI to fine-tune custom lengths and improve signal accuracy. The Mxwll OptAlgo provides long and short signals across various trading assets and timeframes. Additionally, it features optimized Take Profit (TP) and Stop Loss (SL) settings to help traders manage risk.
Key Features
Step-by-Step Complete Optimization: A systematic approach to optimize trading parameters.
Buy/Sell Signals: Clear indicators for long and short positions.
Easy to Use: User-friendly interface for seamless trading.
Predictive counter trend channels
Integrated trend following system and counter trend trading system
3-optimized strategies working cooperatively
Alerts and auto trading capabilities
How It Works
The Mxwll OptAlgo is comprised of three strategies:
Trend following using the OptAlgo
AI Reversal counter trend trading
Market crash shorting
Mxwll OptAlgo can be used for market analysis and trading similarly to any moving average.
The Mxwll OptAlgo MA is composed of two distinct moving averages to be used for trend following strategies.
M-Swift Average: The M-Swift Average accounts for volume and weights current price movement heavier than older price movement - allowing for improved responsiveness to current price movement. Volume is additionally weighted to the average to determine the significance of the price move and the resulting response of the M-Swift average. The M-Swift average consists of an HVWMA with OBV weighting. The HVWMA is used to create a moving average that adapts to volume, attempting to respond to significant price moves with high volume quicker and significant price moves with low volume slower - which might not be indicative of the start of a strong trend. To further reduce the M-Swift average’s responsiveness to weak volume price moves, the average is weighted with a normalized OBV. With this, the M-Swift moving average uses these two indicators to create a responsive moving average to significant price moves with high volume.
M-Smooth Average: The M-Smooth average consists of a McGinley average.
The McGinley Average is designed to address some of the limitations of traditional moving averages, such as the Simple Moving Average (SMA) or Exponential Moving Average (EMA), by reducing their lag and more accurately reflecting the market's true movements, especially during periods of volatility.
The McGinley Dynamic automatically adjusts its smoothing factor based on market speed. This means it responds more quickly to fast-moving markets and slows down during periods of consolidation, reducing the likelihood of false signals.
Unlike traditional moving averages that have a fixed period and can lag significantly behind fast-moving prices, the McGinley Dynamic adjusts dynamically, which helps to reduce lag and keeps the moving average closer to the price action.
The M-Smooth average uses bar low prices as a series during an uptrend - bar high prices as a series during a downtrend. A cross above the M-Smooth average indicates an uptrend, while a cross below the M-Smooth average indicates a downtrend. When this cross event occurs the M-Smooth average will “flip” from calculating on lows to highs, or highs to lows, contingent on the direction of the trend. The expectation is that a cross event of the M-Smooth average requires a substantial price move and, subsequent to this cross, price will continue to trend in the direction of the cross.
OptAlgo: The OptAlgo is simply the average of the M-Swift average and the M-smooth average.
By combining the M-Swift average and the M-Smooth average, the final output results in an average that slows during ranging markets and quickly adjusts to high volume breakouts and high volume reversals that initiate a trend. Due to the combination, the average will keep up quickly with a trend but remain at an appropriate distance from the current price - requiring a significant counter trend price move to change the direction of the OptAlgo average.
How does the OptAlgo follow trends?
The OptAlgo, comprising the two moving averages above, considers a cross event of the OptAlgo as a change in trend indication. The OptAlgo can be thought of as a moving average that significantly deviates from price. For price to cross the OptAlgo, a substantial price move must occur, and this event is treated as a "strong trend" or "new trend" indication.
M-RSI: The M-RSI is a fundamental component of the trend following strategy. Prior to a trend following “long” or “short” signal, the M-RSI must generate a signal in confluence with an OptAlgo cross event. When price crosses over the opt algo its color will change to green, indicating an uptrend. A buy signal will generate should the M-RSI provide a similar indication. The M-RSI portion of the trend following strategy is explained below. When price crosses under the opt algo its color will change to green, indicating a downtrend, and a sell signal becomes eligible. The foundational logic for using the Opt Algo as a trend following strategy is to treat crossovers/crossunders of the Opt Algo as strong trend indications, and trade them.
Steps to generate a trend following long signal:
1: M-RSI extends into oversold territory
2: Price crosses over the OptAlgo
Steps to generate a trend following short signal:
1: M-RSI extends into overbought territory
2: Price crosses under the OptAlgo
Our trend following strategy considers crossovers/crossunders at key market turning points as buy/sell opportunities. This strategy integrates the Mxwll RSI and Mxwll OptAlgo MA to determine entry points in anticipation of trend continuation.
The Mxwll RSI must move below/above the optimized OB/OS level prior to a cross event for a long/short signal to be considered. Entry points for this strategy are marked as "Long" or "Short".
At its core, the OptAlgo trend following strategy tries to enter a trend as close to the origin point as possible. As with any trend following strategy, price may not continue to move in the expected direction following entry, resulting in a losing trade.
AI Reversal Predictions
Our AI reversals strategy uses AI suggested turning points to capitalize on price reversions back towards the OptAlgo. These levels are considered by the AI on the selected days, and entry points at these levels are marked as "LLO" or "SLO".
How AI reversals work
Our AI reversals strategy attempts to trade price reversions back toward the Opt Algo.
These levels are calculated on specific days of the week, but can be traded any day. The internal algorithm determines which HTF highs/lows are most likely to function as tradable support/resistance levels. For instance, if Friday consists of heavy trading activity and high/low prices are tracked/recorded as causing significant support / resistance when tested in the future, the algorithm will consider support and resistance levels created on Friday as future tradable levels.
Additionally, if support/resistance levels created on Wednesday are recorded as weak or unpredictable when traded at in the future, the algorithm will not consider support/resistance levels generated on Thursday as tradable, and will not generate long or shit signals for these levels.
In the background, the AI reversals strategy is tracking success rates at multiple support and resistance levels. The best performers, if there are any, will be considered tradable. A “best performer” is calculated as the raw price move up to a threshold (i.e. 0.5%) that occurs subsequent to a test of the level.
Crash Short
The "Crash Short" strategy prioritizes short positions during retracements of a sell off. A simple yet effective strategy.
How Crash Short Works
The Crash Short strategy uses a customized momentum indicator (similar to ROC, MOM, etc.) to identify strong downside price moves. When our customized momentum indicator gives strong sell indications, the RSI is then referenced to identify an upside retracement. When the RSI exceeds a user-inputted level, a “Crash Short” signal is generated.
What is the customized momentum indicator?
The customized momentum indicator is the RoCR (Rate of Change Ratio). Instead of classic ROC, which is close - close , the RoCR divides the current close by a previous close. This formula creates a ratio that is more normalized than a simple price difference. This ratio is used to determine upside/downside momentum, with values greater than 1 indicating bullish momentum and values less than 1 indicating bearish momentum. The RoCR looks for deviating values to the downside (less than 1) to identify strong selling. From there, once the RSI crosses over an optimized level (such as 35), the indicator will print a sell signal titled "Crash Short".
Predictive Countertrend Channels
Our Predictive Countertrend Channel applies a two-stage recursive filter to smooth data using exponential decay and periodic adjustments for trend extraction. Our counter trend channels aren't directly used for signal processing; however, these channels provide useful visual cues for extended market moves.
Instructions for Optimization
Step 1: Optimize Mxwll OptAlgo
Begin by optimizing the M-Swift and M-Smooth averages for better signal accuracy.
This step simply finds better performing M-Swift and M-Smooth lookbacks. Again, if the strategy is unprofitable you will be notified and from there decide not to use the strategy.
Step 2: Optimize Mxwll RSI
Refine the Mxwll RSI settings to explore potential adjustments in smoothness and signal output. This step aims to evaluate whether these adjustments could improve the accuracy of the signals generated by Mxwll OptAlgo, while being mindful of any potential impacts.
Step 3: Optimize TP/SL
Consider adjusting the Take Profit and Stop Loss settings to potentially manage risk.
Step 4: Optimize Bars Between Trades
Set the number of bars between trades to regulate the frequency of trade executions. This adjustment may help in reducing the risk of overtrading and support a more disciplined trading strategy.
Step 5: Optimize Trade Flip
Adjust the trade flip parameters to potentially improve the management of transitions between long and short positions. This adjustment is intended to help achieve smoother trade executions, though outcomes may vary.
Step 6: Optimize RSI OB/OB Levels
Consider adjusting the overbought (OB) and oversold (OS) RSI levels to explore potential improvements in signal sensitivity. Careful calibration of these levels may help refine the accuracy of trend reversal signals, although results may depend on market conditions.
Finished!
From this point, consider setting alerts to make the most of the Mxwll Opt Algo's potential accuracy.
The effectiveness of the Opt Algo signal output can be evaluated using the "PF" table, which indicates the profit factor score for the strategy. A profit factor (PF) of less than or equal to 1 suggests that the strategy may not be profitable.
Disclaimer
No strategy works on any timeframe on any asset, so, if the Opt Algo underperforms for the asset/timeframe you're analyzing, the Opt Algo PF table lets you know it hasn't been generating accurate signals, in which case you can decide not to use it!
Optimization Disclaimer
Optimization can be tricky. It's helpful to test numerous strategies in aggregate to see if a strategy has potential. Despite this, optimization can cause overfitting. Overfitting occurs when a strategy is too closely fit to the data it's trading. Overfit backtests are deceptively phenomenal. While the historical performance looks great, the future expectancy of the strategy remains unpredictable - an overfit strategy will profit from periods of random price movement which, being random, are irreproducible and cannot be profited from other than their initial occurrence. When a strategy trades random price movement profitably, any and all profit earned can be reduced to chance. Keep this in mind when using the in-built optimization system. Optimization should be kept to a minimum, a tool to point you in the right direction, whether confirming potential or signifying a useless system.
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity.
The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity.
🔶 USAGE
The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below.
🔹 Money Flow Profile
The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance.
The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period.
A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow.
🔹 Delta Profile
The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals.
Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward.
The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results.
🔹 Level of Significance
Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included:
Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval.
Level: Show the price level with the highest recorded money flow activity.
Row: Show the price zone with the highest recorded money flow activity.
These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Calculation Settings
Money Flow Profile: Toggles the visibility of the Money Flow Profile.
Normalized: Toggles the visibility of the Normalized Profile.
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile.
Level of Significance: Toggles the visibility of the level of significance line/zone.
Lookback Length / Fixed Range: Sets the lookback length.
Number of Rows: Specify how many rows each profile histogram will have.
🔹 Display Settings
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length.
Profile Horizontal Offset: Enables moving the profile on the horizontal axis.
Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits.
Currency: Extends the profile text with the traded currency.
Profile Price Levels: Toggles the visibility of the profile price levels.
🔶 RELATED SCRIPTS
Money-Flow-Profile
Volume-Profile-with-Node-Detection
Tick CVD [Kioseff Trading]Hello!
This script "Tick CVD" employs live tick data to calculate CVD and volume delta! No tick chart required.
Features
Live price ticks are recorded
CVD calculated using live ticks
Delta calculated using live ticks
Tick-based HMA, WMA, EMA, or SMA for CVD and price
Key tick levels (S/R CVD & price) are recorded and displayed
Price/CVD displayable as candles or lines
Polylines are used - data visuals are not limited to 500 points.
Efficiency mode - remove all the bells and whistles to capitalize on efficiently calculated/displayed tick CVD and price
How it works
While historical tick-data isn't available to non-professional subscribers, live tick data is programmatically accessible. Consequently, this indicator records live tick data to calculate CVD, delta, and other metrics for the user!
Generally, Pine Scripts use the following rules to calculate volume/price-related metrics:
Bullish Volume: When the close price is greater than the open price.
Bearish Volume: When the close price is less than the open price.
This script, however, improves on that logic by utilizing live ticks. Instead of relying on time-series charts, it records up ticks as buying volume and down ticks as selling volume. This allows the script to create a more accurate CVD, delta, or price tick chart by tracking real-time buying and selling activity.
Price can tick fast; therefore, tick aggregation can occur. While tick aggregation isn't necessarily "incorrect", if you prefer speed and efficiency it's advised to enable "efficiency mode" in a fast market.
The image above highlights the tick CVD and price tick graph!
Green price tick graph = price is greater than its origin point (first script load)
Red price tick graph = price is less than its origin point
Blue tick CVD graph = CVD, over the calculation period, is greater than 0.
Red tick CVD graph = CVD is less than 0 over the calculation period.
The image above explains the right-oriented scales. The upper scale is for the price graph and the lower scale for the CVD graph.
The image above explains the circles superimposed on the scale lines for the price graph and the CVD graph.
The image above explains the "wavy" lines shown by the indicator. The wavy lines correspond to tick delta - whether the recorded tick was an uptick or down tick and whether buy volume or sell volume transpired.
The image above explains the blue/red boxes displayed by the indicator. The boxes offer an alternative visualization of tick delta, including the magnitude of buying/selling volume for the recorded tick.
Blue boxes = buying volume
Red boxes = selling volume
Bright blue = high buying volume (relative)
Bright red = high selling volume (relative)
Dim blue = low buying volume (relative)
Dim red = low selling volume (relative)
The numbers displayed in the box show the numbered tick and the volume delta recorded for the tick.
The image above further explains visuals for the CVD graph.
Dotted red lines indicate key CVD peaks, while dotted blue lines indicate key CVD bottoms.
The white dotted line reflects the CVD average of your choice: HMA, WMA, EMA, SMA.
The image above offers a similar explanation of visuals for the price graph.
The image above offers an alternative view for the indicator!
The image above shows the indicator when efficiency mode is enabled. When trading a fast market, enabling efficiency mode is advised - the script will perform quicker.
Of course, thank you to @RicardoSantos for his awesome library I use in almost every script :D
Thank you for checking this out!
BE-NSE-Distributed Straddle Intraday Trading StrategyHerewith publishing the script (not the Indicator!) for the benift of Option Traders. I call this a script as this doesn't perform any kind of analysis of candle data and provide general BUY | SELL information. This Script is based on the TRUE VALUES concept which is nothing but LTP.
Idea Behind this Script:
As an option seller i need the lower risk option premium to trade. so that, time can work in our favor. basic question which we get at the first is which option to choose out of many available.
If traders feel the question is apt then this script is for them.
Logic Behind this script:
Upon Market Open, script in the BACKEND ( Under the hood ) deployes 60 possible combinations of STRADDLES for sampling, and continue to monitor the LTP movements and compares it against opposite pairs. lets say out of 30 Straddle options one of the Straddle it picked is ATM CE VS ATM PE. for 1 rs move in underlying how much impact is happening in CE VS PE.
This simple anlysis is done at every 30 seconds. once the Analysis is complete it picks 4 options 2 on the CALL side and 2 on the PUT side, which script feels the movement of prices are smooth. SMOOTH refers that time decay that can work in our favor..
Calculations behid the script:
lets say BNF LTP is 52000 at 9:20 AM, and one of the pair script took for sampling was ATM CE vs PE which are having the LTP of 100 each.
At 9:35 AM, BNF is trading at 52075, and ATM CE is reading the LTP of 122 and ATM PUT is reading the LTP of 70. ideally LTP of Call should be around 135 and Put should be around 65 considering the usual delta of 0.48 . Net Money Index for this Pair Sample is 8
Call Side => 100 - 122 = -22
Put Side => 100 - 70 = 30
Money Index => 30 - 22 = 8 for 15 Min
This Money index is calculated across choosen samples and the Option strikes is provided as an output which has mere possiblity of working in Options Seller's favor.
How to Read the Output:
For the choosen strikes from the time of Entry (Suggested Entry time by script) till the current time, the bottom pane plots the Money index as columns. Green Columns indicate that how much option premium eroded due to time decay. Red Columns indicate that how much Option premium increased during the time.
Note: Script dynamically calculate the strikes and suggests in realtime.
WARNING or a Humble Request:
For those who don't understand the word "Repaint" how it works in Pine Script. plz don't consider using this script. For those who wish to understand I have kept the Observer mode in the settings which shall guide you on why the Money Index shown on the chart when the MARKET IS CLOSED is different than when the MARKET IS OPEN (Realtime).
Disclaimer:
I have tested the script only in BNF and not sure if this works on Nifty, FinNifty or others. you may still try and plz do provide the feedback for improvising the script.
----- BreathEasy --------
The information contained in my scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My scripts/indicators/ideas are only for educational purposes!
Uptrick: 6 Coins Market Data TableThe "Uptrick: 6 Coins Market Data Table" indicator is a sophisticated tool designed to provide a comprehensive snapshot of the market data for six major cryptocurrencies. This tool displays crucial information in a table format directly on the chart, enabling traders to make informed decisions quickly. It focuses on providing key metrics such as the Relative Volatility Index (RVI), volume, buy and sell pressure, and liquidity for each coin. The primary purpose of this indicator is to consolidate essential market data for multiple cryptocurrencies into a single, easy-to-read table. This facilitates quick analysis and comparison, helping traders assess market volatility and momentum using the Relative Volatility Index (RVI), monitor trading volume to understand market activity and interest, evaluate buy and sell pressure to gauge market sentiment, and determine liquidity to understand the ease of entering or exiting positions. The indicator is titled "Uptrick: 6 Coins Market Data Table" and is set to overlay on the chart, ensuring that it does not obstruct the view of price action. It uses a custom function to calculate buy and sell pressure based on price movements and trading volume, where buy pressure measures the volume of trades executed at prices above the low but below the high, indicating buying interest, and sell pressure measures the volume of trades executed at prices below the high but above the low, indicating selling interest. Liquidity is calculated as the product of the trading range (high - low) and the trading volume, helping in understanding the ease with which an asset can be traded without affecting its price. The RVI is calculated using the standard deviation of price changes and the exponential moving average (EMA), distinguishing between periods of increasing and decreasing volatility to provide a normalized measure of market volatility, with the RVI value ranging from 0 to 100, where higher values indicate higher volatility. The table is created with six rows and seven columns, with each row representing a cryptocurrency and each column representing a specific metric. The first row of the table includes headers for each metric: Symbol, RVI, Volume, Buy Pressure, Sell Pressure, and Liquidity. The populateTable function retrieves and calculates the necessary data for each cryptocurrency, fetching open, high, low, close prices, and volume, then calculating the RVI, buy/sell pressure, and liquidity. These values are populated into the respective cells in the table, ensuring that traders can see all relevant data at a glance. The indicator allows users to specify six different cryptocurrency symbols through input fields, enabling traders to monitor their preferred coins. The table columns include Symbol (the trading symbol of the cryptocurrency, e.g., BTCUSDT), RVI (the Relative Volatility Index displayed as a percentage, indicating the volatility level), Volume (the trading volume for the specified period, indicating the level of trading activity), Buy Pressure (a volume-based measure of buying interest), Sell Pressure (a volume-based measure of selling interest), and Liquidity (a measure of the asset’s liquidity, combining price range and volume). By bringing together multiple key metrics for six cryptocurrencies into one table, the indicator provides a centralized view of market conditions, enhancing decision-making as traders can quickly assess volatility, market sentiment, and liquidity, aiding in more informed trading decisions. The tool's customizability, allowing users to tailor the table to display their preferred cryptocurrencies, makes it versatile for different trading strategies. This detailed description outlines the functionality and purpose of the "Uptrick: 6 Coins Market Data Table" indicator, emphasizing its role in providing comprehensive and actionable market data for traders.
DTB
Dynamic Trendline Bands with Buy/Sell Pressure Detection
This indicator provides a comprehensive analysis of price movements by incorporating smoothed high and low bands, a midline, and the detection of buying and selling pressure. It is designed to help traders identify key support and resistance levels as well as potential buy and sell signals.
**Features:**
- **Smooth High and Low Bands:** Based on the highest high and lowest low over a specified period, smoothed using a simple moving average (SMA) to reduce noise and enhance clarity.
- **Midline:** The average of the smoothed high and low bands, providing a central reference point for price movements.
- **Buying and Selling Pressure Detection:** Highlights candles with significant buying or selling pressure, indicated by light green for buying pressure and light red for selling pressure. This is determined based on volume thresholds and price movement.
- **Trendlines:** Dynamic trendlines are drawn based on recent highs and lows, helping to visualize the current trend direction.
**How to Use:**
1. **High-Low Bands:** Use these bands to identify key support and resistance levels.
2. **Midline:** Monitor the midline for potential mean reversion trades.
3. **Buying/Selling Pressure Candles:** Look for candles highlighted in light green or red to identify potential buy or sell signals.
4. **Trendlines:** Follow the dynamic trendlines to understand the direction of the current trend.
**Inputs:**
- **Length:** Number of bars to consider for calculating the highest high and lowest low (default: 200).
- **Smooth Length:** Period for the simple moving average to smooth the high and low bands (default: 10).
- **Volume Threshold Multiplier:** Multiplier for the average volume to detect significant buying or selling pressure (default: 1.5).
This indicator is suitable for all timeframes and can be used in conjunction with other technical analysis tools to enhance your trading strategy.
Weighted Moving Range with Trend Signals (WMR-TS)Weighted Moving Range with Trend Signals (WMR-TS)
Technical analysis involves analyzing statistical trends from trading activity , such as price movement and volume, to make trading decisions. Technical indicators are mathematical calculations based on the price, volume, or open interest of a security or contract. They are used by traders to analyze price movements and predict future market behavior. The WMR-TS indicator combines weighted moving averages and range calculations to identify key trading levels and generate buy/sell signals. It dynamically adjusts to market conditions, offering traders insights into potential support, resistance, and trend reversal points. Key levels are color-coded for quick interpretation. It utilizes weighted moving averages (WMA) and range calculations to determine these levels, making it a robust tool for both trending and ranging markets.
SUMMARY
Parameters :
WMA Length : Determines the length for the primary weighted moving average.
Highest High Length : Sets the period for calculating the highest high.
Lowest Low Length : Sets the period for calculating the lowest low.
Range Corrector : Adjusts the range calculation slightly for fine-tuning.
Top Level : Multiplier for determining the top level from the calculated range.
Bottom Level : Multiplier for determining the bottom level from the calculated range.
Levels Visibility : Sets how many recent bars will display the levels.
Trading Zones :
Short Area : Highlighted zone indicating potential shorting opportunities.
Long Area : Highlighted zone indicating potential buying opportunities.
The Levels :
Wave (Yellow): Midpoint of the calculated range, adjusted by WMA.
Top Level (Red): Calculated upper boundary of the trading range.
Sell Level (Pink): Intermediate sell level.
Resistance Level (Magenta): Immediate resistance level.
Support Level (Cyan): Immediate support level.
Buy Level (Light Green): Intermediate buy level.
Bottom Level (Dark Green): Calculated lower boundary of the trading range.
Interpreting the Signals :
Hammer Signal : Red circles above bars indicate potential sell signals.
Rocket Signal : Green circles below bars indicate potential buy signals.
KEY CONCEPTS
Highest High and Lowest Low :
These values represent the highest high ( HH ) and lowest low ( LL ) over a specified number of periods.
Support Level :
This is the lower boundary of the trading range. It is a price level where demand is strong enough to prevent the price from falling further. As the price approaches the support level, it is likely to bounce back up.
Resistance Level :
This is the upper boundary of the trading range. It is a price level where supply is strong enough to prevent the price from rising further. As the price approaches the resistance level, it is likely to pull back down.
THE USE OF MULTIPLIERS :
The script uses several multipliers to adjust and fine-tune the calculated support and resistance levels, as well as to control the range and sensitivity of these levels. Here is a detailed explanation of these multipliers and their purpose:
Range Corrector : This multiplier adjusts the calculated high ( H ) and low ( L ) levels, adding flexibility to how these levels are positioned relative to the highest high and lowest low. It ranges from -1 to 1 , with a default value of 0 . The use of positive values increase the range, making the calculated levels further apart. Thus, using negative values decrease the range, bringing the calculated levels closer together.
Top Level : This multiplier adjusts the distance of the top level from the calculated high H ) level. It fluctuates from 0 to 2 , with a default value of 0.382 . Higher values will push the top level further above the high level, while lower values will bring it closer.
Bottom Level : This multiplier adjusts the distance of the bottom support level from the calculated low support level. Ranging from 0 to 2, with a default value of 0.214, the higher values will push the bottom level further below the low level, while lower values will bring it closer.
The script plots the support and resistance levels on the chart, allowing traders to visualize the trading range. Color-coded zones are used to indicate areas where buying or selling opportunities may arise based on the current price relative to the trading range. A trading range refers to the area between a price's support and resistance levels over a specific period of time. Within this range, the price of the security fluctuates up and down but does not break out above the resistance or below the support. Support and resistance levels to make trading decisions. Buying near the support level and selling near the resistance level is a common strategy. When the price moves above the resistance level, it is called a breakout . A breakout often indicates that the price may start a new upward trend . Conversely, when the price moves below the support level, it is called a breakdown . A breakdown often indicates that the price may start a new downward trend . By understanding and utilizing trading ranges, traders can make more informed decisions, optimize their trading strategies, and manage risk more effectively.
Understanding Moving Averages
A moving average (MA) is a widely used technical indicator that helps smooth out price data by creating a constantly updated average price. The main purpose of using a moving average is to identify the direction of the trend and to reduce the "noise" of random price fluctuations. The Weighted Moving Average ( WMA ) assigns different weights to each period, with more recent periods typically given more weight. A 10-day WMA might give the most recent day a weight of 10, the second most recent day a weight of 9, and so on. It is useful for traders who want to emphasize recent price data more than older data. When the price is above the moving average, it suggests an Bullish trend . A Bearish Trend is expected to take place when the price is below the moving average. Understanding the price reactions around these levels can be used to make trading decisions.
APPLYING CONCEPTS
Support and Resistance Calculations in the Script :
The script calculates dynamic support and resistance levels using weighted moving averages ( WMA s) and the highest high and lowest low over specified periods. Buy ( Rocket ) and sell ( Hammer ) signals are generated based on the crossing of the price with calculated top and bottom levels.These signals help traders identify potential entry and exit points within the trading range .
Weighted Moving Average (WMA) Application in the Script
This script calculates a special trendWMA using the close price that helps in creating a more dynamic moving average that considers both high and low price actions. This modified WMA is used in conjunction with highest high and lowest low values over specified periods to calculate dynamic support and resistance levels.
Explanation of the Levels in the Script
By understanding these levels, traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements. The script incorporates several key levels levels that traders can use to better anticipate price movements and make more informed trading decisions. Leveraging the principles of Fibonacci retracement ratios ( 23.6%, 38.2%, 50%, 61.8%, and 100% ) to identify key support and resistance zones can also serve for gauging the overall market sentiment.
Top Level and Sell Leve l: Used to identify potential resistance zones where the price may reverse or pause.
Support Level and Buy Level : Used to identify potential support zones where the price may bounce.
Upper and Lower Pivot Values : Serve as intermediate levels for possible price retracements or extensions within the trading range.
Wave Level : Indicates the central trend direction, which can be useful for gauging the overall market sentiment.
Alerts are a crucial part of the script as they notify traders of potential buy and sell signals based on predefined conditions. There are two main alerts: one for a " Hammer " signal (sell condition) and one for a " Rocket " signal (buy condition).
Adjust the input parameters to fit your trading style and the specific asset being analyzed. Shorter lengths may be more responsive to price changes but can produce more false signals , while longer lengths provide smoother signals but may lag . Always backtest the indicator on historical data to understand its behavior and performance. Also remember that different markets may require different parameter settings for optimal performance.
Keep in mind that by nature like all moving averages, WMAs lag behind price action. This means that signals may be delayed. The indicator performs differently in various market conditions. Always consider the overall market context when interpreting signals.
Adjusting parameters like the range corrector and visibility can help tailor the indicator to specific market conditions or trading strategies, improving its effectiveness. The script uses the calculated levels to plot lines and fill zones on the chart, helping traders visualize potential support, resistance, and trend reversal points. The use of multipliers allows for dynamic adjustment of these levels, making the indicator flexible and adaptable to different market conditions.
I think traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements following this code. Stay safe and always remember that market is always changing. Use this tool if you want, please stay informed and plan safe trades,
D.
Advanced Real-Time Volume Delta// -----------------------------------------------------------------------------
// Advanced Real-Time Volume Delta Indicator
// Developed by ThomasTradingAlgo
// -----------------------------------------------------------------------------
// DESCRIPTION:
// This script calculates and displays various volume-related metrics in real-time
// to help traders analyze buying and selling pressure in the market. It includes
// features such as volume delta, cumulative delta, volume delta pace, and price-volume
// delta relationship. This script also highlights High Volume Nodes (HVNs) and Low
// Volume Nodes (LVNs) and allows users to customize various display options.
// USAGE:
// 1. Add this script to your TradingView chart by copying and pasting the code into
// a new Pine Script indicator.
// 2. Customize the input parameters to suit your analysis needs:
// - Timeframe: Select the timeframe for analysis.
// - Mode: Choose between "Up/Down/Neutral" or "Up/Down" to consider neutral volume.
// - Show Split: Display the split of buy, sell, and neutral volumes separately.
// - Show Start Line: Display a line indicating where real-time data starts.
// - Show MA: Display a moving average of volume.
// - MA Period: Set the period for the volume moving average.
// - Show Net Delta Vol Above Bar: Display the net delta volume above the bar.
// - Show Cumulative Delta: Display the cumulative delta volume.
// - Scale Down Factor: Scale down the net delta value for better readability.
// - Highlight Threshold: Highlight bars based on a threshold of average volume.
// - Show Buying/Selling Pressure in Candlestick: Show buying and selling pressure
// directly in the candlestick.
// - HVN Threshold: Set the threshold for High Volume Nodes based on average volume.
// - LVN Threshold: Set the threshold for Low Volume Nodes based on average volume.
// 3. Interpret the volume metrics displayed in the table and on the chart to make
// informed trading decisions.
// HELPFUL TIPS:
// - Use the "Volume Delta" metric to gauge the difference between buying and selling
// pressure in real-time.
// - The "Cumulative Delta" helps track the overall buying or selling pressure over time.
// - "Delta Pace" indicates the speed at which volume delta changes, which can signal
// strong buying or selling pressure.
// - Analyze the "Price-Delta Relationship" to understand potential reversals or trend
// continuations. For instance, if the price is rising but delta is falling, it could
// suggest weakening buying pressure and a potential reversal.
// - Pay attention to HVNs and LVNs, as they can indicate significant support or resistance
// levels based on volume concentration.
Price Action SuiteThe TRN Price Action Suite incorporates a treasure trove of time and price action concepts. It includes a set of trading tools that, when combined, allow for a more accurate view of the market. This enables traders to find high probability entry points before the market moves to the next liquidation level.
Features of the TRN Price Action Suite:
(Inverse) Fair Value Gaps (FVG)
Order Blocks (OB)
FVG and OB with Cumulative Volume Delta
Volume Imbalances
Market Structure
Liquidity levels
Sessions
Kill zones/Opening Range
The indicator helps traders to easily identify favorable market conditions and high probability trade setups. It automatically finds time and price action concepts and displays them in an intuitive way on the chart. One of the highlights is the detection of Fair Value Gaps and Order Blocks in connection with Cumulative Volume Delta (approx.). You will not find this connection anywhere else.
Fair Value Gaps (FVGs)
A fair value gap occurs when there are inefficiencies in the market or imbalanced buying and selling pressures. Fair value gaps can become a magnet for the price before continuing in the same direction. Special attention should be paid to FVGs that are supported by support and resistance levels, as these offer a higher probability of success for trades. Additionally, the indicator plots inverse FVG (iFVG). These are FVG that are “closed” by a FVG in the other direction. IFVGs are a strong sign of the market to continue in the direction of the iFVG.
In addition to the FVGs you see on the chart, you can add also FVGs from a higher timeframe including the cumulative buy/sell volume. For this you can set “Timeframe 1” and “Timeframe 2” in the settings to your preferred timeframes. E.g. you trade on a 5-minute chart, and you want to see FVGs from 4 hours and a daily chart, then you set Timeframe 1 to 4 h and to Timeframe 2 to 1 D.
Order Blocks and Volume Imbalances can also be shown from higher timeframes.
Order Blocks (OBs)
Order blocks are areas on the chart where a high concentration of limit orders was found in the past. They can serve as potential support or resistance areas. These represent areas in the market where there is an oversupply (supply) or an excess demand (demand). They are often key zones for potential turning points or continuations of the current trend. A bullish OB, for example, is the last bearish candle before a significant uptrend.
FVGs and OBs with Cumulative Volume Delta
The TRN Price Action Suite can show FVGs and OBs with the corresponding Cumulative Volume Delta (CVD). It is a metric to analyze market dynamics by tracking the net difference between buying and selling volumes over a specific timeframe. It is used to determine the strength of the FVG/OB. The FVG/OB includes two bars on the left side, indicating the cumulative buy volume in green as well es the cumulative sell volume in red. At the right side of the FVG/OB box the ratio of the cumulative buy/sell volume is displayed. A high ratio over 1, for example 1.5, indicates a lot of buying pressure. On the hand, a ratio far below 1, for example 0.66, indicates a lot of selling pressure.
Volume Imbalances (VIBs)
Volume Imbalances indicate a price gap from the previous close, but unlike gaps, there is no absence of trading activity within a specific price range. Bullish VIs have opening and closing prices above the previous close, with overlap between the current low and previous high. Bearish VIs are vice versa.
Market Structure
The market structure represents the dominant trend in the market. It is based on swing highs and lows. For instance, if the price makes higher highs (HH) and higher lows (HL) the market structure represents an uptrend. Vice versa if price makes lower lows (LL) and lower highs (LH) the market trend is down.
If the market structure is up, traders can enter positions in a pullback. For this, a trader could use a FVG or an OB as an entry condition.
Market Structure Shift (MSS) (Change of Character (ChoCh))
A market structure shift occurs when the market transitions from one dominant trend to a different one, often signaling a potential change in the underlying market dynamics. A MSS signals the start of a new trend. It signals the change from an uptrend to a down trend and vice versa. Therefore, it is sometimes called change of character (ChoCh). A valid MSS should ideally occur in a strong supply or demand zone. This indicates that the market may be approaching a trend reversal or consolidation.
Break of Structure (BOS)
A break of structure happens when the market breaks out of its established trading range or pattern. The market continues its dominant trend, indicated by the last MSS.
In an uptrend, for example, each time the price breaks through a new high, a "bullish BOS" is formed. This indicates that the market can overcome previous resistance levels and continue to rise.
Levels
One core concept in trading is that price flows to areas of liquidity. Natural liquidity areas are the current day open, high, low (CDO, CDH, CDL) or the previous day high, low, close (PDH, PDL, PDC). The same is true for the current week (CWO, CWH, CWL) and the previous week (PWH, PWL, PWC).
Pay special attention in case some of these levels are close together. Then these levels serve like a magnet for the price. The TRN Price Action Suite indicator can cluster these levels fully automatically together to give the trader the flexibility to focus solely on the trading part.
Sessions
Sessions are the trading hours during which the banks are actively trading. The three main trading sessions:
Asia: Most of the volume from the Asian players are handled within this session.
London: This is where the European players are most active.
New York: In the New York session all the USA players are active as well as all the other American players. Furthermore, a lot of global players are active in this session as well.
Killzones
A kill zone in trading refers to a specific time period during the trading day when the market experiences increased volatility and liquidity. It is an opportunity for traders to capitalize on potential price movements and generate profits. There are several different killzones during the day.
There are three different types of killzones:
Indices/Futures: This one is suitable if you trade products like the ES, NQ, FDAX, CL or Stocks, Options.
Forex: If you trade Forex this setting will mark the most liquid periods of the day.
Opening Range: In case you trade the opening range of the sessions, use this setting.
Trading Example
Enhanced Forex IndicatorDescription of the "Enhanced Forex Indicator"
The "Enhanced Forex Indicator" is designed for traders who want a comprehensive technical analysis tool on the TradingView platform. This script integrates Exponential Moving Averages (EMAs), support and resistance zones, and candlestick pattern recognition to provide actionable trading signals, particularly useful for Forex and other financial markets. The script is suitable for intraday trading and swing trading.
Components of the Indicator
Exponential Moving Averages (EMAs):
Short EMA (Blue Line): Faster responding average, good for identifying recent trend changes.
Long EMA (Red Line): Slower moving average, helps in confirming longer-term trends.
Support and Resistance Zones:
Resistance Zone (Red): Area where potential selling pressure could overcome buying pressure, halting price increases temporarily or reversing them.
Support Zone (Green): Area where potential buying pressure could overcome selling pressure, supporting prices and preventing them from falling further.
Candlestick Patterns:
Bullish Engulfing Pattern (Green Triangle Up 'BE'): Suggests a potential upward reversal or start of a bullish trend.
Bearish Engulfing Pattern (Red Triangle Down 'BE'): Indicates a potential downward reversal or start of a bearish trend.
Buy/Sell Signals:
Buy Signal (Green Label 'BUY'): Triggered when the price is above both EMAs and a bullish engulfing pattern is detected.
Sell Signal (Red Label 'SELL'): Triggered when the price is below both EMAs and a bearish engulfing pattern is detected.
Trading Setup:
Entry: Consider entering a buy position when the 'BUY' signal appears, indicating bullish conditions. Enter a sell position when the 'SELL' signal appears, indicating bearish conditions.
Exit: Look for closing signals opposite your entry or use predefined take profit and stop loss levels. For instance, exit a buy position on a 'SELL' signal or when the price drops below the support zone.
Risk Management:
Set stop losses just below the support zone for buy orders and above the resistance zone for sell orders to protect against significant losses.
Adjust position sizes according to your risk tolerance and account balance.
Considerations:
Use this indicator in conjunction with other analysis tools and fundamental data to confirm signals and strengthen your trading strategy.
Periodically backtest the strategy based on this indicator to ensure its effectiveness in current market conditions.
Optimization:
Adjust the lengths of the EMAs and the buffer size of the support and resistance zones to better fit the asset's volatility and your trading timeframe.
[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] 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
STIC bullish and bearish hunter with FVGSmart Trading and Investment Companion (STIC) is a sophisticated tool designed to identify and visualize inducement, market structure, market trends, track liquidity, and project and forecast price action for all applicable assets. it has been tested to work on all timeframes and has been traded on stock, forex, and crypto assets.
This script is an upgraded version of previous STIC indicator, which you can use in addition to it or separately as you deem fit
Traders/ investor that are familiar with market structure, inducement, candlestick psychology, trend-following indicatorsand Fair Value Gap FVG will find it easy to adopt this trading and investment companion. As stated below, this is how it works.
Features and how to use
1st of all, after adding the indicator to yoursuperchart, you want to endusre to set your to so as to enable you see the text labeling clearly. to do that, after adding the indicator to your chart, right click it on the list, you will se the Visual order option.
Special Extreme Alert!
By analyzing the trends and dimensions, we are able to predict market extremes conditions, especially in pump and dump scenarios. (the bullish or bearish P/D extreme alerts).
Market flip arrow
The arrows trigger to indicate when the market flips to bullish (green) or bearish (red) conditions. note that this arrow is just a market flip confirmation and it it triggered by market trends, it does not come one time and sometimes later after market trigger conditions had been met.
circled in white.
Buy or sell potential {The tiny yelow(sell) and blue(buy) triangle}
By analyzing market extreme conditions, market sentiment, and liquidity, the buy/sell potential alert trigger is able to determine the state of the market, This can and should be used in combination with the market flip line (MFL) [the yellow line from , market flip trigger (MFT) (purple line), and market support/resistance line (MSR)(blue line) .
Market flip Line (Blue line) (MFL): the MFL is useful to also understand the market phase; a candle close above the MFL is bullish, while a candle close Below, the MFL is bearish. You are, however, expected to experience market retests and rejections coupled with support and resistance to follow through with the predicted direction. Patience is a valuable virtue in trading.
Extended sell or buy hunt (Red and Green Triangle)
this is real-time triangles indicator just like every other indicator on theis chart that indicates the market direction labeled with buy and sell. Note that the market-extended extreme can occur multiple times in the same direction. Hence, we'll advise having multiple trade entries.
The flip support line
Market Flip Trigger Line (MFTL) (Magenta): When the market crosses and closes below or above the Market Flip Trigger Line, you should wait for a confirmation. a confirmation is usually a retest or rejection of the line. A candle close and reject indicates the market as flip direction and it is going for a correction or major reversal. it is applicable on all timeframe.
As mentioned earlier, if you understand market structure and sentiment, using the uFVG, iFVG, upLQTY, downLQTY and BOS will be easy. however, this is how it works, you may need tohave and expanded readbout market structure for additional knowledge.
upLQTY (Bullish liquidity inducement)
The indicator appear at the close and confirmation on the 3rd candle and it is extended to only appear on 200 bars applicable on all timeframes.
This is a bullish sentiment and liquidty inducement order block that occurs, leading to the break of trend structure and change of character. Meaning the market sentiment as change which is backed up by liquidity in that region, which mostly gets filled, especially on lower timeframes before the price action continues. If price revese breaks and hold above this region, it invalidates the order block. This will always appear when there is a confirmed change of character CHoCH to the bullish side.
downLQTY (Bearish liquidity inducement) The indicator appear at the close and confirmation on the 3rd candle and it is extended to only appear on 200 bars applicable on all timeframes. It is and inverse of the upLQTY.
like order block, these are supply and demand zones that has the potential to change the direction of a trade. This is a bearish order block that occurs, leading to the break of structure and change of character. Meaning there is bearish liquidity yet to be accounted for in the region, which mostly gets filled, especially on lower timeframes before the price action continues. If broken, it invalidates the order block. This will always appear when there is a confirmed change of character from CHoCH to the bearish side.
Fair Value Gap
From general knowledge, FVG also know as Fair value gaps are inbalnace created by a 3 candlestick pattern where the top of the bottom candles doesn't cross the bottom of the top candle. like order block, these are supply and demand zones that has the potential to change the direction of a trade. This mostly indicate the presense of big plays in the market. for STIC indicator, FVG are labeled as listed below;
UFVG, also FVGup, {Colour green box} = bullish imbalance fair value gap
IFVG, aka FVGdown, {Red box} = bearish imbalance fair value gap
OIFVG, {Yellow box, no label} = other imbalances fair value gab
You should not that FG has upper, lower and middle band, any of the this area can be induced and filled by price.
Alert Conditions!
Buy alert conditions
- Any bullish buy alert
- Bullish hunt
- Re-entry Buy
- Sharp Market Sell rejection
- Buy potential
- upLQTY
Long position Exit conditions
- ExtremeB
- Profit
- Sell hunt
The Entry, exit and trail profit alert trigger should be used as position exit conditions either for a Long (Buy) or Short (Sell) situation and should be set as OPB (Once Per Bar). Using it as entry for exit or vice versa as shown not to be very profitable. hence the need to combine with other order entry alerts like the Any bullish or Bearish alerts
Sell alert conditions ( NOTE: All Sell alert are not yet included in this current version as this is targeted towards bullrun.)
- Sell potential
- Sell triangle (Sell hunt)
- downLQTY
and any trail profit alert, this alert put into consideration all the conditions required to trail profit.
Risk management advice
Patience and a good risk management strategy are required to be profitable trader using this tool. You need to ensure not to overleverage, and you should have multiple entries in case the buy coditions/alert shows again below the previous buy alert before a sell condition/alert occurs.
WinningWave - Devrim - By [Sercan.B]WinningWave - Devrim is an extremely advanced technical analysis tool designed to understand fluctuations in the financial markets and provide investors with reliable buying and selling decisions based on this information. This tool integrates various analysis methods to detect market trends and potential reversal points.
Fundamentally, WinningWave - Devrim deeply examines market movements using ZigZag analyses, harmonic pattern recognition, and various indicators such as RSI. ZigZag analyses filter out the noise of short-term price movements, offering a cleaner view of market trends and identifying significant peaks and troughs. The harmonic pattern recognition feature utilizes the recurring nature of specific price patterns to indicate potential buying and selling areas. These patterns provide clues about the possible future directions of price movements.
The strength of WinningWave - Devrim lies not only in identifying specific patterns and trends but also in presenting this information in a way that can be integrated into investors' strategies. Investors can clearly see when to enter or exit the market, thanks to the visual signals and patterns provided by the indicator.
Moreover, WinningWave - Devrim offers a set of customizable settings according to user preferences. This feature is critical for adapting to different market conditions and investment strategies. For example, an investor can adjust the ATR period, which measures volatility, to receive the most suitable signals for the current market condition.
Thanks to the specially tailored artificial intelligence coding for pattern finding for each time period, it alerts the user as a formation by analyzing the possible start and end areas of Trends specific to time periods. Additionally, a buy and sell signal compatible with harmonic pattern-based trend scanning technique accompanies harmonic formations. The buy or sell signal that comes immediately after the formation is created provides detailed awareness for the user to enter or exit the game.
The option to set separate alerts for the formation of each pattern and for every buy-sell signal frees users from the necessity of monitoring the screen constantly.
Lastly, WinningWave - Devrim offers investors a broad perspective for market analysis. With this tool, investors can identify market trends, potential reversal points, and buying and selling opportunities, optimize risk management, and apply their investment strategies more consciously.
Note: In line with my principle of personal neutrality, the description and usage of the indicator have been written by analyzing the codes through ChatGPT.
- Adhering to buy and sell signals is crucial for securing transactions at points where harmonic patterns form. This importance stems from the fact that the legs of harmonic formations can extend according to Fibonacci values. In other words, a harmonic formation signal does not have to occur immediately when it is received. Therefore, buy and sell signal labels, transformed into signals with settings compatible with formations and based on ATR, aim to minimize the margin of error in transactions.
- Harmonic formations are an analysis method in financial markets that is based on specific mathematical properties and ratios of price movements. These formations rely on mathematical concepts such as the Fibonacci number sequence and are used to predict how price movements may behave in the future. The idea behind harmonic formations is that certain patterns tend to repeat in market price movements. These patterns are used to identify potential buying and selling points.
- Paintings are representative. It was drawn for those who cannot see that zigzag lines and formation labels create mathematics and a formation.
- The Super Trend ATR (Average True Range) is a popular trend-following indicator used in financial markets. This indicator creates a line that moves above or below the price as a function of the Average True Range (ATR), indicating the direction of the trend. The Super Trend is used both to determine the direction of the trend and to identify potential entry and exit points.
The Super Trend indicator is based on two main parameters: a period of the ATR and a multiplier. The indicator measures the volatility of price movements over the specified ATR period and applies a multiplier based on this volatility. Then, this calculated value is placed above or below the price to determine the direction of the trend. If the price is above the line, the market is considered to be in an uptrend, and if below, in a downtrend.
Buy and Sell signals were written in the most compatible way with harmonic formations for the Super Trend ATR and adjusted according to the most accurate areas of Fibonacci values. Thus, if the signal following the formation of harmonic formations is entering an uptrend or downtrend, it helps us find the most suitable entry and exit points.
- Zigzag Indicator
The Zigzag indicator is a tool that filters out minor price fluctuations and noise to better see the direction of price movements. This indicator ignores price movements until they reach a specified percentage change and only connects the movements that exceed this change with a line. As a result, investors can more easily identify the main trends and potential reversal points in the market.
The Zigzag indicator is particularly effective in identifying the maximum and minimum points in the market and when used in conjunction with other technical analysis tools like Fibonacci retracement.
Pivot Points
Pivot points are a type of indicator used to determine the general trend of the market. This calculation is made using the high, low, and closing prices of the previous period. The basic pivot point is calculated by taking the average of these three values. Around this basic pivot point, resistance and support levels are also calculated. Resistance levels represent potential obstacles that the price may encounter moving upwards, while support levels represent potential "floor" areas when the price is moving downwards.
Pivot points are especially useful for daily trading activities because traders can use these points to predict the likely direction of market movements within the day. These points can also serve as potential buying and selling areas.
Both indicators assist investors and traders in analyzing market movements and making decisions, but it is always recommended to use them in conjunction with other analysis methods and consider market conditions.
OBV 1min Volume SqueezeIn the vast realm of trading strategies, few terms evoke as much intrigue as the word "squeeze." It conjures images of pent-up energy, ready to burst forth in a sudden and decisive move. In this blog post, we'll delve into a new trading idea titled the "OBV 1-Minute Volume Squeeze" which aims to catch bigger market movements by fetching 1 minute OBV data on higher time charts.
The Essence of Squeeze
In trading parlance, a "squeeze" typically denotes a scenario where volatility contracts, and prices consolidate within a narrow range. Translating this concept to volume dynamics, a "volume squeeze" suggests a period of compressed volume activity. It is unclear if the Bulls or the Bears are at winning hand and price is thus consolidating. The script calculates buying and selling pressure by fetching 1 min data. The total volume presure is the sum of absolute values of the buying and selling pressure added up. By deviding the Buying volume by the total volume we know the Buying Pressure.
The trading theory suggest that when the buying pressure exceeds a certain value eg. 50% (default value in the script is 55%) it is likely the trend will continue to go up for a longer period of time. Vice Versa when selling pressure is higher, the trend is likely to continue down. In the script you can adjust the sensitivity in such way a higher "Volume Pressure %" result in less trading signals.
Fetching 1 min data
The OBV is a wonderful indicator to measure the buying and selling pressure. A disadvantage of the script is that the total volume pressure is presented as a positive (buying) or negative value (selling) value in the Oscillator. It does not offset the Bulls power against the Bears power at given time. The script aims to do measure the directional volume power by defining a volume pressure % (oulier value) by fetching 1 min OBV data on higher time frame charts comparing the Bulls power against the Bears Power. The code is included below:
// Fetch Lower Timeframe Data in an array
// nV = ZeroValue, sV = Selling Volume, bV = Buying Volume, tV = Total Volume
= request.security_lower_tf(syminfo.tickerid, '1', )
sum_bV_Lengthbars = array.sum(bV)
sum_sV_Lengthbars = array.sum(sV)
sum_tV_Lengthbars = sum_bV_Lengthbars + sum_sV_Lengthbars // Combine buying and selling volumes to get total volume
// Calculate buying and selling volume as percentage of the total volume, but ensure the denominator isn't zero.
buying_percentage = sum_tV_Lengthbars != 0 ? sum_bV_Lengthbars / sum_tV_Lengthbars * 100 : na
selling_percentage = sum_tV_Lengthbars != 0 ? -(sum_sV_Lengthbars / sum_tV_Lengthbars * 100) : na
OBV Oscillator Explanation
The On Balance Volume (OBV) indicator is a technical analysis tool used to measure buying and selling pressure in the market. It does this by keeping a running total of volume flows. OBV is typically calculated by adding the volume on a candle when the price closes higher than the previous candle's close and subtracting the volume on candles when the price closes lower than the previous candles close. If the price closes unchanged from the previous candle, the volume is not added to or subtracted from the OBV. The OBV can be presented as an oscillator. Positve value is the buying pressure and negative values is the selling pressure. In the settings the OBV is calculated based on 1 min data and comes with the following input options for visualization on the chart:
Higher Time Frame Settings (make sure the HTF is higher than the chart you have open)
Type of MA being: EMA, DEMA, TEMA, SMA, WMA, HMA, McGinley
Volume Pressure % (outlier value)
Length of number of bars (of the choosen HTF settings)
Smoothing of number candles of hte opened timechart. Note that higher number of bars to smoothen the indicator results in less signals, but lag of the indicator increases.
The Oscilator contains 3 main lines which are used to determin the entry signals:
Orange Line = the Outlier value in settings described as "Volume Pressure %"
Green Line = Total Buying Pressure OBV
Red Line = Total Selling Pressure OBV
If the Green or Red line is in between the zero line and the orange line the volume is squeezed and waiting for a directional break out.
If the Green line crosses over the orange line the buying pressure is > 55% and triggers a long entry position (green dot). If the Red line crosses under the orange line the selling pressure is > 55% and triggers an short entry (red dot). In the strategy settings this option is called: "Wait for total volume to increase?".
Alternative Strategy Options
In order to play around with different settings users can opt for two more strategy entry settings, called:
"Wait for total volume to deacrease?" --> Only gives a signal when total volume is declining, but buying or selling pressure maintains and crosses % threshold.
"Wait for Pull Back?" --> After a pullback occured and opposite buy/sell pressure gets lower than threshold (direction is shifting)
Turning on all options will logically result into more signals. Note these strategy ideas are experimental and can best be used in confirmation with other indicators.
Moving Average Filter (HTF)
The Oscillator has a horizontal line at the bottom. The line is green when the moving average is in a uptrend and red when the moving average is in a downtrend. The MA Filter comes with the following settings:
Higher Time Frame Setting
Type of MA being: EMA, DEMA, TEMA, SMA, WMA, HMA, McGinley
Length of number of bars (of the choosen HTF settings)
At last I hope you like this volume trading idea and if you have any comments let me know!
VWAP RangeThe VWAP Range indicator is a highly versatile and innovative tool designed with trading signals for trading the supply and demand within consolidation ranges.
What's a VWAP?
A VWAP (Volume Weighted Average Price) represents an equilibrium point in the market, balancing supply and demand over a specified period. Unlike simple moving averages, VWAP gives more weight to periods with higher volume. This is crucial because large volumes indicate significant trading activity, often by institutional traders, whose actions can reflect deeper market insights or create substantial market movements. The VWAP is also often used as a benchmark to evaluate the efficiency of executed trades. If a trader buys below the VWAP and sells above it, they are generally considered to have transacted favourably.
This is how it works:
Multiple VWAP Anchors:
This indicator uses multiple VWAPs anchored to different optional time periods, such as Daily, Weekly, Monthly, as well as to the highest high a lowest low within those periods. This multiplicity allows for a comprehensive view of the market’s average price based on volume and price, tailored to different trading styles and strategies.
Dynamic and Fixed Periods:
Traders can choose between using dynamic ranges, which reset at the start of each selected period, and specifying a date and time for a particular fixed range to trade. This flexibility is crucial for analyzing price movements within specific ranges or market phases.
Fixed ranges allow VWAPs to be calculated and anchored to a significant market event, the beginning of a consolidation phase or after a major news announcement.
Signal Generation:
The indicator generates buy and sell signals based on the relationship of the price to the VWAPs. It also allows for setting a maximum number of signals in one direction to avoid overtrading or pyramiding. Be sure to wait for the candle close before trading on the signals.
Average Buy/Sell Signal Lines:
Lines can be plotted to display the average buy and sell signal prices. The difference between the lines shows the average profit per trade when trading on the signals in that range. It's a good way to see how profitable a range is on average without backtesting the signals. The lines will also often turn into support and resistance areas, similar to value areas in a volume profile.
Customizable Settings:
Traders have control over various settings, such as the VWAP calculation method and bar color. There are also tooltips for every function.
Hidden Feature:
There's a subtle feature in this indicator: if you have 'Indicator values' turned on in TradingView, you'll see a Sell/Buy Ratio displayed only in the status line. This ratio indicates whether there are more sell signals than buy signals in a range, regardless of the Max Signals setting. A red value above 1 suggests that the market is trending upward, indicating you might want to hold your long positions a bit longer. Conversely, a green value below 1 implies a downward trend.
Digital Market Insight's Dream IndicatorWhy the Digital Market Insight’s Dream Indicator Blends Sixteen Technical Indicators
Analyzing markets can be overwhelming with so many technical indicators available. Choosing the right ones and combining them effectively can be a challenge. This indicator simplifies this by leveraging the power of collaboration.
Unleashing the power of automation, Digital Market Insight's Dream Indicator simplifies both day trading and long-term investing by automatically generating buy and sell signals.
This user-friendly indicator simplifies everything, making it easy to identify profitable trades where other indicators usually fall short.
Instead of relying on a few popular indicators, the Digital Market Insight’s Dream Indicator incorporates sixteen diverse metrics. Each offers unique insights into different aspects of market behavior, giving you a complete picture that goes beyond what any single indicator can provide.
Combining indicators that analyze trends, momentum, volume, and volatility allows you to see the market from different angles. This combination creates a powerful tool that can uncover opportunities missed by traditional indicators.
Digital Market Insight’s Dream Indicator uses sophisticated algorithms to balance the influence of each individual indicator. This ensures that no single metric dominates the analysis, providing a more objective perspective.
In short, Digital Market Insight’s Dream Indicator makes the complex task of choosing and combining indicators seamless and automated. This allows traders of all experience levels to benefit from powerful technical analysis, unlocking potentially profitable opportunities they might have missed otherwise.
Leveraging sixteen popular technical indicators, the Dream Indicator from Digital Market Insight meticulously dissects trends, momentum, volume, and volatility to offer comprehensive market insights. Inspired by the Relative Strength Index (RSI), it scales these indicators and identifies breakouts with optimized overbought and underbought thresholds. This combined data is compared to the security, generating a divergence line. The line's magnitude and speed are monitored, leading to the creation of buy and sell signals.
The following is a list of the sixteen indicators that it tracks:
• Parabolic SAR
• Directional Movement Index
• Chande Momentum Oscillator
• Commodity Channel Index
• Volume-Weighted Average Price
• On-Balanced Volume
• Money Flow Index
• Relative Strength Index
• Moving average convergence divergence
• Bollinger Band
• Stochastic
• True Strength Index
• Chaikin Money Flow
• Williams %R
• Sentiment
• Supertrend
While the combination of technical indicators is intriguing, the Dream Indicator's true power lies in its dynamic false signal suppression settings. This system can adapt to frequent market changes in real-time, allowing for a nuanced understanding of market direction. Imagine a rapid price swing triggered by a news announcement. While other indicators provide static signals, the Dream Indicator takes a dynamic approach. By offering multiple adjustable factors, it allows users to customize the indicator to their specific needs and preferences, potentially revealing deeper insights into market trends.
The following is the list of suppression settings:
• Suppress Using an SMA Window? Size?
This suppresses when the security price varies outside a simple moving average window. The window size can be adjusted.
• Suppress Using Supertrend Direction? Factor?
This suppresses when the Supertrend’s direction, increasing or decreasing, is contrary to the security’s gain. The Supertrends factor can be adjusted.
• Suppress Using Security ROC? ROC?
This suppresses when the security’s rate of change (ROC) is above a selectable value.
• Suppress Unfavorable Convergence/Divergence?
The buy alert is suppressed when the faster exponential moving average is less than the slower exponential moving average for both the sentiment and standard MACD. The sell alert is suppressed when the slower exponential moving average is less than the faster exponential moving average for both the sentiment and standard MACD.
• Suppress Unfavorable Trending Sentiment?
This suppresses buy alerts when the sentiment value is lowering and its value is currently below zero. This suppresses sell alerts when the sentiment value is rising and its value is currently above zero.
• Suppress Using Contrary Accumulated Forecast?
Suppress when the combined buy/sell signal is contrary to the security trend.
• Don’t Suppress First Alert?
Always Display First Alert.
How to use:
1. Activate the Indicator:
• Add the Digital Market Insight’s Dream Indicator.
• Select a security.
• Adjust the Alert Frequency, if desired.
• Configure the ATR Multiplier for optimal trailing stop orders, if desired.
2. Set audible alerts, if desired:
1. Select a security and adjust settings if you haven’t yet.
2. Select Alert at the top of the TradingView window or press + .
3. Select Digital Market Insight’s Dream Indicator across from Condition.
4. Select Alert for Buy across from Condition.
5. Select Once Per Bar Close across from Trigger.
6. Select Notifications at the top of the Create Alert window.
7. Select the Play sound checkbox.
8. Select the Create button at the bottom of the Create Alert window.
9. Repeat steps 2–8, substituting Alert for Sell in step 4.
3. Watch displayed information for opportunities:
• Circle Alerts: Green circles indicate buy signals, red ones signal sell opportunities. Larger circles are audible, providing immediate trading prompts.
• SMA Gain: This metric reflects the average profit potential per trade, assuming a sideways trend.
4. Utilize False-Signal Suppression:
• Select the appropriate false-signal suppression methods based on your trading strategy and risk tolerance.
• Monitor the SMA Gain and Circle Alerts as you adjust these settings to see their impact.
• Eliminate misleading signals and gain a clearer picture of the market.
5. Combine with Other Indicators:
• Consider displaying the Sentiment MACD and Divergence RSI for further insights.
• Utilize these additional indicators alongside Dream Indicator's signals for a more comprehensive analysis.
The following describes the displayed information and how to use it. It is in three levels: location/displayed text/description.
Upper Left/Week:/
Displays week gain.
Upper Left/Day:/
Displays day’s gain.
Upper Left/SMA:/
Displays SMA’s gain. The SMA gain is calculated from the average difference between the buy and sell alerts and a simple moving average. This makes it easy to compare differences between securities and setting changes. Basically, the SMA gain is the average profit that can be expected from a single buy sell trade, assuming that the security is trending sideways. Note: With a free TradingView account, the data will be limited, and therefore this value will be less accurate.
Upper Center/Misc. text/
A variety of security information is displayed here, including description, country, type, sector, and industry. The analyst's recommendation is also displayed when selected in the settings section.
Upper Right/ #🕪⚠:/
Displays number of audible alerts. This shows how many audible alerts you’ll get per day on average for the selected security. You will see this number change as you adjust the Alert Frequency setting in the indicator settings section.
Lower Right/ ATR × X.X:/
Displays the Average True Range (ATR) multiplied by a multiplier that is located in the indicator settings section. The upper and lower ATR values are also displayed. The Average True Range is a measure of price volatility and can be used for things like trailing stop orders. Place your stop-loss order a multiple of the ATR below your entry price for long trades and above your entry price for short trades. This will give your trade some room to breathe while still protecting you from significant losses. Adjust the multiple based on market volatility. In more volatile markets, use a larger multiple to account for potentially wider price swings.
The following is a description of important items in the indicator settings section:
--- MISC. SETTINGS ---
Alert Frequency
Alert Frequency will increase or decrease both the displayed alerts and audible alerts. This is one of the more important indicator settings and should be adjusted according to your investing style. If you have a large number of active alerts, you may want to reduce the alert frequency to avoid being overwhelmed. However, if you set this too low, you may miss some trading opportunities.
ATR Multiplier
The ATR multiplier is a multiplier for the Average True Range which is described above. It can help with finding trailing stop order values.
Use Sentiment Coloring
This changes the color of some graphs to a color gradient, indicating the security's sentiment, and may help you identify trend changes.
Sentiment Calc Index
This setting mainly affects the sentiment color scheme and the displayed sentiment graph. Adjust it to match the index in which the security is traded. You can find it at the top left of the TradingView window.
Display Analyst’s Recommendations
This will display the analyst's recommendations and could be handy when unsure whether a security is worth investing in. :-)
--- GRAPH DISPLAY SETTINGS ---
These are additional graphs that can be displayed and can be a valuable addition to your investing. Consider displaying the Sentiment MACD and the Divergence RSI which are both variations of the standard MACD and RSI indicators.
--- FALSE ALERT SUPPRESSION ---
These settings will allow suppression of false signals and are an important feature of this indicator. They will manipulate the gain. Watch the displayed SMA Gain and Circle Alerts as you toggle some of these settings. Some Circle Alerts will appear or vanish, and the SMA Gain will change. Remember, the larger circle alerts are the only ones that will be audible. Both small and large circles indicate a buy or sell alert: green for buy and red for sell.
Disclaimer:
This is not Investment Advice. Trading involves inherent risks, and all decisions should be made at your own discretion.
G Channel with Arrows
1. Channel Calculation:
- The indicator calculates an upper channel ( `UpperBuffer` ) and a lower channel ( `LowerBuffer `) based on the input parameters `ChannelPeriod` .
- The channels are determined by a dynamic calculation that considers the current price ( `src` ) and the previous values of the upper and lower channels (` aBuffer` and `bBuffer` ).
2. Middle Channel:
- The middle channel ( `MiddleBuffer` ) is the average of the upper and lower channels, providing a central reference line.
3. Exponential Moving Average (EMA):
- The script calculates an Exponential Moving Average (`EMAValue`) based on the closing prices with a specified period (`EMAPeriod`).
4. Channel Plots:
- Plots for the upper, lower, and middle channels are displayed on the chart, each with a distinctive color and style.
5. Fill Between Channels:
- The space between the upper and middle channels is filled with a blue color (`#1900ff`), and the space between the lower and middle channels is filled with a red color (`#f70a0a`).
6. EMA Line:
- The EMA line is plotted on the chart in green.
7. Buy and Sell Signals:
- Buy signals ( `buySignal` ) are generated when the EMA crosses above the middle channel.
- Sell signals ( `sellSignal` ) are generated when the EMA crosses below the middle channel.
- Arrows are plotted at the respective locations of buy and sell signals.
8. Breakout Arrows:
- Additional arrows are plotted when the closing price breaks out above the upper channel (green arrow) or below the lower channel (red arrow).
9. User Input Parameters:
- Traders can customize the input parameters such as `ChannelPeriod` and `EMAPeriod` to adjust the sensitivity of the channels and the EMA.
Overall, the indicator provides traders with a visual representation of price channels, an EMA trend reference, and signals for potential buy/sell opportunities and breakout points. It can be used as part of a trading strategy to identify trends, reversals, and potential entry/exit points in the market.
Choose Symbol, candle and line modeThis indicator plots candlesticks or line charts based on user-specified symbol and price data in the time frame. The user can also choose whether this indicator works in normal mode or Heikin-Ashi mode. Here are the features of this indicator:
1. **Trend and Normal Modes:** User can choose to operate the indicator in two different modes. In "Trend Mode" the indicator plots the moving average of the price based on the specified period length. In the "Normal Mode", it draws the opening, high, low and closing prices similar to the Heikin-Ashi candlesticks.
2. **Time Zone Selection:** User can select a different time zone to operate this indicator. By default, the current chart timeframe is used.
3. **Symbol Selection:** The indicator uses the price data from the specified symbol. The user can specify the symbol in the format "SYMBOL:PAIR".
4. **Buy-Sell Signals:** The indicator identifies buy and sell signals based on a certain period length. A buy signal occurs when the price goes above the line, while a sell signal occurs when the price goes below the line.
5. **Buy-Sell Alerts:** Alerts are sent to the user for buying and selling signals.
6. **Display on Chart:** The indicator draws candlesticks or line chart with specified modes and colors. It also marks the buying and selling points on the chart.
This indicator is used to analyze price movements in the specified symbol and time frame and to assist in buying and selling decisions. It has a user-friendly and customizable interface.
It is for idea purposes only, does not contain investment advice.
Fusion: Machine Learning SuiteThe Fusion: Machine Learning Suite combines multiple technical analysis dimensions and harnesses the predictive power of machine learning, seamlessly integrating a diverse array of classic and novel indicators to deliver precision, adaptability, and innovation.
Features and Capabilities
Multidimensional Analysis: Fusion: MLS integrates various technical analysis dimensions to offer a more comprehensive perspective.
Machine Learning Integration: Utilizing ML algorithms, Fusion: MLS offers adaptability to market changes.
Custom Indicators: Including dimensions like "Moon Lander", "Cap Line" and "Z-Pack" the indicator expands the scope of traditional technical analysis methods.
Tailored Customization: With customization options, Fusion: MLS allows traders to configure the tool to suit their specific strategies and market focus.
In the following sections, we'll explore the features and settings of Fusion: MLS in detail, providing insights into how it can be utilized.
Major Features and Settings
The indicator consists of several core components and settings, each designed to provide specific functionalities and insights. Here's an in-depth look:
Machine Learning Component
Distance Classifier: A Strategic Approach to Market Analysis
In the world of trading and investment, the ability to classify and predict price movements is paramount. Machine learning offers powerful tools for this purpose.
The Fusion: MLS indicator among others incorporates an Approximate Nearest Neighbors (ANN)* algorithm, a machine learning classification technique, and allows the selection of various distance functions .
This flexibility sets Fusion: MLS apart from existing solutions. The available distance functions include:
Euclidean: Standard distance metric, commonly used as a default.
Chebyshev: Also known as maximum value distance.
Manhattan: Sum of absolute differences.
Minkowski: Generalized metric that includes Euclidean and Manhattan as special cases.
Mahalanobis: Measures distance between points in a correlated space.
Lorentzian: Known for its robustness to outliers and noise.
*For a deeper understanding of the Approximate Nearest Neighbors (ANN) algorithm, traders are encouraged to refer to the relevant articles that can be found in the public domain.
Alternative scoring system
Fusion: MLS also includes a custom scoring alternative based on directional price action.
"Combined: Directional" and "Alpha: Directional" scoring types represent our own directional change algorithm, simple yet effective in displaying trend direction changes early on. They are visualized by color changes when scoring becomes below or above zero.
Changes in scoring quickly reflect shifts in buyer and seller sentiment.
Traders may choose signals by Color Change in the indicator settings to get alerts when scoring color shifts, not waiting until the histogram crosses the zero level.
Application in Trading
Machine learning classification has become an integral part of modern trading, offering innovative ways to analyze and interpret financial data.
Many algorithmic trading systems leverage ML classification to automate trading decisions. By continuously learning from real-time data, these systems can adapt to changing market conditions and execute trades with increased efficiency and accuracy.
ML classification allows for the development of tailored trading strategies as traders can select specific algorithms, dimensions, and filters that align with their trading style, goals, and the particular market they are operating.
We have integrated ML classification with traditional trading tools, such as moving averages and technical indicators. This fusion creates a more robust analysis framework, combining the strengths of classical techniques with the adaptability of machine learning.
Whether used independently or in conjunction with other tools, ML classification represents a significant advancement in trading technology, opening new avenues for exploration, innovation, and success in the financial world.
ML: Weighting System
The Fusion: MLS indicator introduces a unique weighting system that allows traders to customize the influence of various technical indicators in the machine learning process. This feature is not only innovative but also provides a level of control and adaptability that sets it apart from other indicators.
Customizable Weights
The weighting system allows users to assign specific weights to different indicators such as Moon Lander, RSI, MACD, Money Flow, Bollinger Bands, Cap Line, Z-Pack, Squeeze Momentum*, and MA Crossover. These weights can be adjusted manually, providing the ability to emphasize or de-emphasize specific indicators based on the trader's strategy or market conditions.
*Note, we determined via testing that the popular "Squeeze" indicator can actually be well replicated by simply using inputs of 15 & 199 in the bedrock indicator - MACD ; while we employed the standard "Squeeze" formula (developed by J. Carter ) in Fusion: MLS, traders are hereby made aware of our research findings regarding such.
The weighting system's importance lies in its ability to provide a more nuanced and personalized analysis. By adjusting the weights of different indicators a trader focusing on momentum strategies might assign higher weights to the Squeeze Momentum and MA Crossover indicators, while a trader looking for volatility might emphasize RSI and Bollinger Bands.
The ability to customize weights adds a layer of complexity and adaptability that is rare in standard machine-learning indicators.
Custom Indicators: Moon Lander
The "Moon Lander" is not just a catchy name; it's a robust feature inspired by principles from aerospace engineering and offers a unique perspective on trading analysis. Here's a conceptual overview:
Fast EMA and Kalman Matrix
"Moon Lander" incorporates both a Fast Exponential Moving Average (EMA) and a Kalman Matrix in its design. These two elements are combined to create a histogram, providing a specific approach to data analysis.
The Kalman Matrix, or Kalman Filter, is a mathematical concept used for estimating variables that can be measured indirectly and contain noise or uncertainty. It's a standard tool in machine learning and control systems, known for its ability to provide optimal estimates based on observed data.
Kalman Filter: A Navigational Tool
The Kalman filter, an essential part of "Moon Lander," is a mathematical concept known for its applications in navigation and control systems used by NASA in the apollo program :
Guidance in Uncertainty: Just as the Kalman filter helped guide complex aerospace missions through uncertain paths, it assists traders in navigating the often unpredictable financial markets.
Filtering Noise: In trading, the Kalman filter serves to filter out market noise, allowing traders to focus on the underlying trends.
Predictive Capabilities: Its ability to predict future states makes it a valuable tool for forecasting market movements and trend directions.
Custom Indicators: Cap Line and Z-Pack
Fusion: MLS integrates our additional proprietary custom indicators that have been published on TradingView earlier:
Cap Line: Delve into the specific functionalities and applications of our proprietary "Cap Line" indicator in the published description on TradingView.
Z-Pack: Explore the analytical perspectives, focused on the z-score methodology, and custom "Z-Pack" indicator by reviewing the published description on TradingView.
Buy/Sell Signal Generation Algorithms
Fusion: MLS offers various options for generating buy/sell signals, tailored to different trading strategies and perspectives:
Fusion: Allows traders to select any number of dimensions to receive buy/sell signals from, offering customized signal generation.
ML: Utilizes the machine learning ANN distance for signal generation.
Color Change: Generates signals by selected scoring type color change.
Displayed Dimension, Alpha Dimension: Generate signals based on specific selected dimensions.
These algorithms provide flexibility in determining buy/sell signals, catering to different trading styles and market conditions.
Filters
Filters are used to refine and selectively include or exclude signals based on specific criteria. Rather than generating signals, these filters act as gatekeepers, ensuring that only the signals meeting certain conditions are considered. Here's an overview of the filters used:
Dynamic State Predictor (DSP)
The DSP employs the Kalman Matrix to evaluate existing signals by comparing the fast and slow-moving averages, both processed through the Kalman Matrix. Based on the relationship between these averages, the DSP may exclude specific signals, depending on whether they align with upward or downward trends.
Average Directional Index (ADX)
The ADX filter evaluates the strength of existing trends and filters out signals that do not meet the specified ADX threshold and length, focusing on significant market movements.
Feature Engineering: RSI
Applies a filter to the existing signals, clearing out those that do not meet the criteria for RSI overbought or oversold threshold condition.
Feature Engineering: MACD
Assesses existing signals to identify changes in the strength, direction, momentum, and duration of a trend, filtering out those that do not align with MACD trend direction.
The Visual Component
The machine learning component is an internal component. However, the indicator also offers an equally important and useful visual component. It is a graphical representation of the multiple technical analysis dimensions, that can be combined in various ways (where the name "Fusion" comes from), allowing traders to visualize the underlying data and its analysis.
Displayed Dimension: Visualization and Normalization
The Fusion: MLS indicator offers a "Displayed Dimension" feature that visualizes various dimensions as a histogram. These dimensions may include RSI, MAs, BBs, MACD, etc.
RSI Dimension on the image + ML signals
Normalization: Each dimension is normalized. If any dimension has extreme values, a Fisher transformation is applied to bring them within a reasonable range.
Combined Dimension: When selecting the "Combined" option , the normalized values of the selected dimensions are combined using techniques such as standardization, normalization, or winsorization. This flexibility enables tailored visualization and analysis.
Alpha Dimension: Enhancing Analysis
The "Alpha Dimension" feature allows traders to select an additional dimension alongside the Displayed Dimension. This facilitates a combined analysis, enhancing the depth of insights.
Theme Selection
Fusion: MLS offers various themes such as "Sailfish", "Iceberg", "Moon", "Perl", "Candy" and "Monochrome" Traders can select a theme that resonates with their preference, enhancing visual appeal. There is also a "Custom" theme available that allows the user to choose the colors of the theme.
Customizing Fusion: MLS for Various Markets and Strategies
Fusion: MLS is designed with customization in mind. Traders can tailor the indicator to suit various markets and trading strategies. Selecting specific dimensions allows it to align with individual trading goals.
Selecting Dimensions: Choose the dimensions that resonate with your trading approach, whether focusing on trend-following, momentum, or other strategies.
Adjusting Parameters: Fine-tune the parameters of each dimension, including custom ones like "Moon Lander," to suit specific market conditions.
Theme Customization: Select a theme that aligns with your visual preferences, enhancing your chart's readability and appeal.
Utilizing Research: Leverage the underlying algorithms and research, such as machine learning classification by ANN and the Kalman filter, to deepen your understanding and application of Fusion: MLS.
Alerts
The indicator includes an alerting system that notifies traders when new buy or sell signals are detected.
Disclaimer
The information provided herein is intended for informational purposes only and should not be construed as investment advice, endorsement, nor a recommendation to buy or sell any financial instruments. Fusion: MLS is a technical analysis tool, and like all tools, it should be used with caution and in conjunction with other forms of analysis.
Traders and investors are encouraged to consult with a licensed financial professional and conduct their own research before making any trading or investment decisions. Past performance of the Fusion: MLS indicator or any trading strategy does not guarantee future results, and all trading involves risk. Users of Fusion: MLS should understand the underlying algorithms and assumptions and consider their individual risk tolerance and investment goals when using this tool.
Volume Delta Methods (Chart) [LuxAlgo]The Volume Delta Methods (Chart) aims at highlighting the relationship between Buying or Selling Pressure and Price by presenting Volume Delta , and multiple derivatives of volume delta such as Cumulative Volume Delta (CVD) , Buy/Sell Volume , Total Volume , etc on top of the Main Price Chart .
The script uses two different intrabar (chart bars at a lower timeframe than the chart's) analyses to achieve the most approximate calculation of the volume delta and offers fully customizable visualization features using various types of charts such as line, area, baseline, candles, and histograms.
The script allows traders to see "within" the price bar, provides more transparency over a traditional volume histogram, and also allows users to monitor price and volume activity together.
🔶 USAGE
Volume delta is the difference between the buying volume and the selling volume, in other words, it is the net demand at a given bar allowing traders a more detailed insight when analyzing the market sentiment. A volume delta greater than 0 indicates more buying than selling pressure, whereas a volume delta less than 0 indicates more selling than buying pressure.
Volume delta plus total volume (regular volume) adds additional insight, where the total volume represents all the recorded trades for security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security.
Divergences occur when the polarity of the volume delta does not match the polarity of the price bar.
The users can enable the display of the numerical values of the volume delta.
Cumulative Volume Delta (CVD) is a way of using Volume Delta to measure an asset’s mid-to-long-term buy and sell pressure. It compares buying and selling volume over time and offers insights into market behavior at specific price points. Cumulative Volume Delta is effectively a continuation of the principles of Volume Delta but involves longer time periods and offers different trading signals.
Like the Volume Delta, the Cumulative Volume Delta (CVD) indicator measures the relationship between buy and sell pressure but does not focus on one specific candle in particular. Rather, the Cumulative Volume Delta takes the relative differences and combines them all over an extended time period.
Users have the ability Cumulative Volume Delta in various types of charts along with an optional smoothing line.
Placed above price bars options.
Interacting with price bar options helps to better identify CVD Divergences.
CVD Divergences
CVD reveals buying and selling trends that may or may not complement the price trend of the asset itself. Sometimes, price trends can run in contrast to trading behavior — sell volume can be dominant while the spot price is rising, and vice versa.
🔶 DETAILS
Theoretically, volume delta is calculated by taking the difference between the volume that traded at the ask price and the volume that traded at the bid price. The most precise calculation method uses tick data but requires huge amounts of data on historical bars, which usually limits the historical depth of charts. This indicator uses two different intrabar analysis methods for the volume delta calculation, where intrabars are chart bars at a lower timeframe than the chart's timeframe:
The logic used to assign intrabar volume to the "up" or "down".
- Buying/Selling pressure of the intrabar option (default)
(close - low) > (high - close) => UP
(close - low) < (high - close) => DOWN
(close - low) = (high - close) => close - previous close is used
- Polarity of the intrabar option
close > open => UP
close < open => DOWN
close = open => close - previous close is used
🔶 SETTINGS
The script takes into account user-defined parameters and performs calculations and presentations based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Calculation Settings
Calculation Method: Calculation method selection, available options 'Intrabar Buying/Selling Pressure' or 'Intrabar Polarity'.
Lower Timeframe Precision: Sets indicator precision, default option is 'Auto'.
🔹 Presentation Settings
Volume Delta: Toggles the visibility of the Volume Delta
Cumulative Volume Delta: Toggles the visibility of the Cumulative Volume Delta
Volume Delta/Price Bar Divergences: Toggles the visibility of the Volume Delta Divergences
Volume Delta Numerical Values: Toggles the visibility of the Volume Delta Numerical Values
🔹 Other Features
Volume MA: Toggles the visibility of the Volume Moving Average
CVD Smoothing: Toggles the visibility of the Cumulative Volume Delta's Smoothing Line
🔹 Volume Delta, Others
Volume Delta: Positive, Negative: Volume Delta color customization options
Volume Histogram: Growing, Falling: Volume Histogram color customization options
Display Length: Length of the visual objects presented with this indicator
Volume Delta Height: Volume delta height customization options
Volume Histogram Height: Volume histogram height customization options
Vertical Offset: Volume delta and histogram vertical positioning customization options
🔹 Cumulative Volume Delta, Others
CVD Line, Width, and Color: Cumulative Volume Delta - Line Width and Color customization options
CVD Area/Baseline, Gradient Coloring: Cumulative Volume Delta - Area and Baseline background gradient coloring customization options
CVD Candles Color, Positive, and Negative: Cumulative Volume Delta - Candles coloring customization options
CVD/Smoothing Background: Highlights and adjusts the transparency of the area between the Cumulative Volume Delta Line and it's Smoothing Line
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
EquiVolume
Volume-Footprint
Volume-Weighted Trend Filter CloudThe Volume-Weighted Trend Filter Cloud is a powerful technical analysis tool designed to identify trend directions and potential buy/sell signals in a trading instrument. The indicator combines volume-weighted moving averages, average true range (ATR), and cloud plotting techniques to provide a comprehensive view of the market trend.
Inputs:
Length: Specifies the length of Algo used for trend analysis. Default value is 14.
Multiplier: Adjusts the width of the trend filter bands based on the ATR. Default value is 2.0.
Tenkan-sen Period: Defines the period for calculating the Tenkan-sen line. Default value is 200.
Kijun-sen Period: Sets the period for calculating the Kijun-sen line. Default value is 400.
Senkou Span Period: Determines the period for calculating the Senkou Span A and Senkou Span B lines. Default value is 600.
Calculation:
Average True Range (ATR): The indicator calculates the ATR based on the specified moving average length.
Trend Filter Bands: The basic upper and lower bands are calculated using the highest high and lowest low values, respectively, along with the multiplier and ATR. These bands are then adjusted to create the final upper and lower bands, taking into account the previous values.
Trend Direction: The indicator determines the trend direction by comparing the close price with the lower and upper bands. If the close price is above the lower band, it indicates an upward trend (trendUp = 1). If the close price is below the upper band, it indicates a downward trend (trendDown = 1).
Volume-Weighted Z-Score: The indicator calculates the volume-weighted Z-Score by determining the mean and standard deviation of the close price with volume weighting. The Z-Score represents the deviation of the close price from the mean in terms of standard deviations.
Tenkan-sen, Kijun-sen, Senkou Span A, and Senkou Span B: These lines are calculated using the respective periods and the average of the high and low prices.
Sigmoid Transformation: The indicator applies the sigmoid function to the Z-Score values to obtain sigmoid-transformed values for open, high, low, and close prices. These transformed values help in visualizing the trend strength.
Plotting:
Trend Filter: The trend filter is plotted as a line that changes color based on the trend direction. The lower band is displayed for an upward trend, while the upper band is displayed for a downward trend.
Trend Cloud: The cloud plot represents the Senkou Span A and Senkou Span B lines. The cloud color changes based on the trend direction, providing a visual representation of the market trend.
Buy and Sell Signals: The indicator generates buy and sell signals based on the crossover of fast and slow moving averages, Z-Score values, trend direction, and other conditions. These signals are labeled on the chart, indicating potential entry points for traders.
The indicator generates buy and sell signals based on specific conditions, including the intersection of fast and slow moving averages, Z-Score values, trend direction, and more.
Buy signals are described as a "buy signal" on the chart, which indicates potential entry points for buy trades.
Sell signals are described as a "sell signal", which indicates potential entry points for sell trades. The signals in light color represent that they are signals in the opposite direction of the cloud that can be considered as exit points
