Bollinger Band Wick and SRSI Signals [MW]Introduction
This indicator uses a novel combination of Bollinger Bands, candle wicks crossing the upper and lower Bollinger Bands and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions.
How it’s unique
People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits.
What’s the benefit
The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation.
It takes into account 3 elements:
Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range.
A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active.
The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern.
How to Use
SIGNALS
Buy Signals - Green(ish):
B Signal - Potential pivot up from the lower band when using the preferred multiplier
B1 Signal - Potential pivot up from baseline
Sell Signals - Red(ish):
S Signal - Potential pivot down from the upper band when using the preferred multiplier
S1 Signal - Potential pivot down from the baseline
DISCUSSION
During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend.
For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point.
In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point.
During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands.
When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside.
When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside.
Additional, B1 and S1 signals can be displayed that use the baseline as the pivot level.
Settings
SIGNALS
Show Bollinger Band Signals (Default: True): Allows signal labels to be shown.
Hide Baseline Signals (Default: False): Baseline signals are on by default. This will turn them off.
Show Wick Signals (Defau
lt: True): Displays signals when wicking occurs.
BOLLINGER BAND SETTINGS
Period length for Bollinger Band Basis (Default: 21): Length of the Bollinger Band (BB) moving average basis line.
Basis MA Type (Default: SMA): The moving average type for the BB Basis line.
Source (Default: “close”): The source of time series data.
Standard Deviation Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line.
WICK SETTINGS FOR BOLLINGER BANDS
Wick Ratio for Bands (Default: 0.3): The ratio of wick size to total candle size for use at upper and lower bands.
Wick Ratio for Baseline (Default: 0.3): The ratio of wick size to total candle size for use at baseline.
WICK SETTINGS FOR CANDLE SIGNALS
Upper Wick Threshold (Default: 50): The percent of upper wick compared to the full candle size or candle body size.
Lower Wick Threshold (Default: 50): The percent of lower wick compared to the full candle size or candle body size.
Use Candle Body (Default: false): Toggles the use of the full candle size versus the candle body size when calculating the wick signal.
VISUAL PREFERENCES
Fill Bands (Default: true): Use a background color inside the Bollinger Bands.
Show Signals (Default: true): Toggle the Bollinger Band upper band, lower band, and baseline signals.
Show Bollinger Bands (Default: true): Show the Bollinger Bands.
STOCHASTIC SETTINGS
Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20.
K (Default: 3): The smoothing level for the Stochastic RSI.
RSI Length (Default: 14): The period length for the RSI calculation.
Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed.
Calculations
Bollinger Bands are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. Bollinger Bands consist of three lines plotted on a price chart:
Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price.
Upper Band: This is calculated by adding a certain number of standard deviations to the middle band (SMA). The upper band adjusts itself with the increase in volatility.
Lower Band: This is calculated by subtracting the same number of standard deviations from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility.
The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side.
Other Usage Notes and Limitations
To understand future price movement, this indicator assumes that 3 things must be known:
Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks.
The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause.
The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions.
When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal.
ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers.
If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure.
When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal.
Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
"能做t++0的etf有哪些" için komut dosyalarını ara
POC IndicatorThis simplified Point of Control (POC) indicator for TradingView is designed to identify and plot the price level where the highest volume of trading occurred over a specified period. The script works as follows:
Input and Initialization: The user specifies a length for the analysis period. Variables highestVolPrice and highestVol are initialized to track the price with the highest volume and the highest volume encountered, respectively.
Volume Analysis Loop: For each bar in the specified period (up to length bars back from the current bar), the script compares the volume of the current bar (volume ) to highestVol. If the current bar's volume is higher, highestVol and highestVolPrice are updated to reflect the volume and closing price of the current bar.
Plotting the POC: Instead of using a horizontal line (hline), which cannot be dynamically updated within the loop, the script uses plot to draw the POC. This plotting function draws a line on the chart that represents the closing price level associated with the highest volume observed within the analysis period.
Resetting Variables: To ensure the indicator updates correctly with each new bar, the script resets highestVol and highestVolPrice at the start of the analysis for each new period. This step is designed to recalculate the POC dynamically as new data comes in.
This approach offers a basic method for visualizing significant price levels where substantial trading activity occurred, potentially indicating areas of strong support or resistance. However, it's a simplified model and does not calculate the true POC based on a detailed volume profile across all price levels within the period.
Market Structures Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Market Structures Screener! This screener can provide information about the latest market structures in up to 5 tickers. You can also customize the styling of the screener.
Features of the new Market Structures Screener :
Find Latest Market Structures Across 5 Tickers
Break Of Structure (BOS)
Change of Character (CHoCH)
Change of Character+ (CHoCH+)
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Sometimes specific market structures form and break as the market fills buy & sell orders. Formed Change of Character (CHoCH) and Break of Structure (BOS) often mean that market will change direction, and they can be spotted by inspecting low & high pivot points of the chart.
This screener then finds market structures across 5 different tickers, and shows the latest information about them.
🚩UNIQUENESS
Formed market structures can be strong hints about the current direction and the state of the market, and our screener has the ability to detect Change Of Character structures of the market with higher sensitivity (CHoCH+), so you will miss less hints. This screener will then show the elapsed time of the found BOS, CHoCH and CHoCH+ structures.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan market structures here. You can also enable / disable them and set their individual timeframes.
Cycle Oscillator V2 [OmegaTools]Introducing the "Cycle Oscillator" by OmegaTools, an innovative addition to your TradingView analysis toolkit. This script is designed to offer a unique approach to understanding market cycles without the need for volume data, making it versatile across various market conditions and asset classes.
Key Features:
- Cycle Length Customization: Tailor the cycle length from 10 to 200 bars to fit the specific rhythm of the market you're analyzing, ensuring relevance and precision.
- Smoothness Adjustment: Fine-tune the oscillator's smoothness to capture the essence of market movements with options ranging from 1 to 20.
- Aesthetic Flexibility: Choose your preferred colors for the oscillator's upward and downward movements, personalizing your chart to your liking.
- Historical Mode: Toggle the historical mode to either focus on real-time analysis or review past cycle data for backtesting and study.
- Candle Color Modes: Enhance your visual analysis with optional candle coloring based on trend, signals, or extensions, providing immediate insight into market conditions.
Usage Guide:
1. Setting Up: Easily adjust the cycle length and smoothness to match the market's current volatility and your trading style.
2. Understanding Market Cycles: The oscillator plots the average deviation from three distinct moving averages, offering a clear view of potential market turns or continuations.
3. Identifying Overbought/Oversold Conditions: Utilize the upper and lower bounds to recognize extreme market conditions, guiding your entry and exit decisions.
4. Visual Enhancements: Customize the visual aspects, including colors and candle coloring, to make your analysis both effective and aesthetically pleasing.
5. Anticipating Market Movements: The script provides forward-looking lines to suggest potential future highs or lows, aiding in predictive analysis.
Designed with both novice and experienced traders in mind, the "Cycle Oscillator" is a testament to OmegaTools' commitment to providing high-quality, innovative trading tools. Whether you're looking to refine your trading strategy or seeking new analytical perspectives, this script offers a comprehensive solution to navigating the ebbs and flows of the financial markets.
Join the community of traders enhancing their TradingView experience with the "Cycle Oscillator" by OmegaTools. Start exploring deeper market insights and unlock new trading opportunities today.
Fair Value Gap Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Fair Value Gap Screener! This screener can provide information about the latest Fair Value Gaps in up to 5 tickers. You can also customize the algorithm that finds the Fair Value Gaps and the styling of the screener.
Features of the new Fair Value Gap (FVG) Screener :
Find Latest Fair Value Gaps Accross 5 Tickers
Shows Their Information Of :
Latest Status
Number Of Retests
Consumption Percent
Bullish & Bearish Volume
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. This screener then finds Fair Value Gaps accross 5 different tickers, and shows the latest information about them.
Status ->
Far -> The current price is far away from the FVG.
Approaching ⬆️/⬇️ -> The current price is approaching the FVG, and the direction it's approaching from.
Inside -> The price is currently inside the FVG.
Retests -> Retest means the price tried to invalidate the FVG, but failed to do so. Here you can see how many times the price retested the FVG.
Consumed -> FVGs get consumed when a Close / Wick enters the FVG zone. For example, if the price hits the middle of the FVG zone, the zone is considered 50% consumed.
Bullish / Bearish Volume -> Bullish & Bearish volume of a FVG is calculated by analyzing the bars that formed it. For example in a bullish FVG, the bullish volume is the total volume of the first 2 bars forming the FVG, and the bearish volume is the volume of the 3rd bar that forms it.
🚩UNIQUENESS
This screener can detect latest Fair Value Gaps and give information about them for up to 5 tickers. This saves the user time by showing them all in a dashboard at the same time. The screener also uniquely shows information about the number of retests and the consumed percent of the FVG, as well as it's bullish & bearish volume. We believe that this extra information will help you spot reliable FVGs easier.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan Fair Value Gaps here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
+4-4 ChartThis overlay indicator provides a visual representation of momentum and price direction within each bar (or candlestick). It does this by comparing the current bar's open, high, low, and close to the previous bar's values, highlighting the following conditions:
Strong Up (Green): All four components (open, high, low, close) are higher than the previous bar.
Weak Up (Light Green): Three out of four components are higher than the previous bar.
Strong Down (Red): All four components are lower than the previous bar.
Weak Down (Light Red): Three out of four components are lower than the previous bar.
White: None of the strong or weak conditions are met, suggesting possible consolidation or indecision.
How to Use: The +4-4 Chart Indicator can be helpful in identifying potential trend continuation patterns, reversals, or periods of consolidation. Traders might use the predominance of green or red to gauge overall market sentiment. It is most useful to visualise long term daily, weekly, monthly market trends for SPY and QQQ etc.
Previous Day High and LowPlots previous and the day before days' high and low for all days, not just today.
Price and Volume Stochastic Divergence [MW]Introduction
This indicator creates signals of interest for entering and exiting long and short positions on equities. It primarily uses up and down trends defined by the change in cumulative volume with some filtering provided by a short period exponential moving average (9 EMA by default).
Settings
Moving Average Period : The moving average over which the cumulative volume delta is calculated. Default: 14
Short Period EMA : The EMA used to represent price action, and is used to generate the EMA Delta line. Default: 27 (3*3*3)
Long Period EMA : The second EMA used to calculate the EMA Delta line. Default: 108 (2*2*3*3*3)
Stochastic K Value : The value used for stochastic curve smoothing. Default: 3
Dot Size : The diameter of the larger indicator. Default: 10
Dot Transparency : The transparency level of the outer ring of the primary BUY/SELL signal. Default: 50 (0 is opaque, 100 is transparent)
Band Distance from 0 to 100 : The upper and lower band distance. Default: 20
Calculations
The cumulative volume delta (CVD) is calculated using candle bodies and wicks. For a red candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks, while Selling Volume is calculated multiplying the volume by the spread percentage of the average of the top and bottom wicks - in addition to the spread percentage of the candle body.
For a green candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks - plus the spread percentage of the candle body - while Selling Volume is calculated using only the spread percentage average of the top and bottom wicks.
Once we have the CVD, we can then perform a stochastic calculation of the CVD value.
stochastic calculation = (current value - lowest value in period) / (highest value in period - lowest value in period)
We’ll do the same stochastic calculation for the short term EMA (27 EMA default) as well as for the difference between the short term and long term EMA.
When the stochastic CVD value is rising from zero and the short term EMA stochastic value equals 100, then it’s a major bullish signal. When the stochastic CVD value is falling from 100 and the short term EMA stochastic value equals 0, then it’s a major bearish signal.
Sometimes, after a bullish or bearish signal, the stochastic CVD will reverse direction triggering a new opposing signal.
How to Interpret
The CVD indicates when there is either more buying than selling or vice versa. A value over 50 for the stochastic CVD curve represents more buying taking place. A value below 50 represents more selling. One might intuitively believe that when there is more buying volume than selling volume that the price would follow suit. This is not always the case.
Most of the time buying volume will precede consistent price movement upwards, and selling volume will precede consistent price movement downwards. When this divergence occurs, the indicator generates a signal. When this divergence begins to fail, and buying or selling volume reverses, then another signal is generated indicating that the buying/selling impulse is headed back into the direction of price action.
These interactions are visually represented on the chart with the coral line that represents CVD, and the yellow line that represents the EMA, or the average price. When the coral line goes up and the yellow line stays down, that’s the BUY signal. When the coral line goes down and the yellow line stays up, that’s the sell signal. When the coral line switches direction, the chart generates another signal showing that volume is moving in a direction that supports the price.
The orange line represents the stochastic representation of the difference between the short EMA (27 by default) and the long EMA (108 by default). EMA differences is a method that can be used to define a trend. When a short term EMA is above a longer term EMA, that may represent a bullish trend. When it is below, that may represent a bearish trend. When all 3 lines are rising or falling in the same direction at the same time, it tends to indicate a movement that has the potential to continue.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
This indicator can be paired with the MW Volume Impulse indicator if it is desired to see the actual buying and selling cumulative volume deltas. Also, in many cases, the BUY and SELL signals tend to correspond with Keltner Bands (ATR Bands) becoming extended. Lastly, volume weighted average price (VWAP) along with other macro events can impact price and negate signals. To view VWAP lines, you may choose to use the Multi VWAP or Multi VWAP for Gaps indicator to help ensure that the signals you see in this indicator are not being affected by VWAP lines.
Interest Bricks @shrilssInterest Bricks utilize a unique approach to visualize changes in interest over time. It calculates the difference between the current and previous values of a specified asset's closing price on a daily basis. The resulting value indicates whether there has been an increase, decrease, or no change in interest.
This indicator employs a sine wave plot to represent the trend of interest changes. Positive values of the sine wave indicate increasing interest, while negative values denote decreasing interest. The color of the plot dynamically changes based on the direction of the trend: lime for upward trends and red for downward trends.
Donchian Channel Trend MeterInspired by the Chande Trend Meter (this is not the Chande Trend Meter), this indicator aims to show the trend so you can make trading decisions accordingly. This is calculated by looking at Donchian Channels over a number of lengths (20, 40, 60 periods, etc.), converting them to percent, and then applying a weighting and smoothing similar to the Know Sure Thing Indicator. This results in smooth trend line that is not disturbed by large fluctuations in price action.
When the line is below 20%, you have a strong down trend. Values between 20 - 40% are a weak down trend. Values between 40 - 60% are no trend (slightly bullish or bearish if above or below 50%). Similarly, 60 - 80% is a weak uptrend, and above 80% is a strong uptrend. Trade signals can be turned on or off that correspond to crosses over 50%. It can be useful in spotting divergence.
Adjusted Directional Movement @shrilssThis indicator combines elements of the Average True Range (ATR) and the Directional Movement Index (DMI) to create adjusted directional lines.
The core of this indicator lies in its calculation of the Adjusted Directional Movement (ADM), which provides a refined measure of price movement. Unlike traditional ATR calculations, which solely rely on the high-low range of each period, the ADM considers additional factors such as the current close relative to the previous close. This adjustment helps to capture more accurately the true extent of price movement.
To calculate the ADM, the script first computes the True Range (TR), which represents the maximum of three values: the current high minus low, the absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close. This TR value serves as the basis for determining price movement.
Next, the script calculates the Adjusted Directional Movement (ADM) by comparing the current high-low range with the range from the previous period. Positive ADM (Plus ADM) is computed as the maximum of the current high minus the previous high or zero, while negative ADM (Minus ADM) is calculated as the maximum of the previous low minus the current low or zero.
Once the Plus ADM and Minus ADM values are obtained, they are normalized by dividing them by the True Range. This normalization process ensures that the directional lines accurately reflect the proportion of price movement relative to the overall range.
Finally, the script smoothes out these directional lines over a specified length using a simple moving average calculation. The resulting Plus Directional Line (+DI) and Minus Directional Line (-DI) provide insights into the strength and direction of price movement.
Visually, the script plots the +DI and -DI lines on the chart, with a shaded region indicating which line is dominant at any given time. This shading helps traders quickly assess the prevailing trend direction.
Herrick Payoff Index @shrilssThis indicator combines elements of price action, volume, and open interest to provide insights into market strength and potential trend reversals. This script calculates the Herrick Payoff Index (HPI) based on a modified formula that incorporates volume and open interest adjustments.
The HPI is derived from comparing the current day's mean price to the previous day's mean price, factoring in volume and open interest changes. By analyzing these factors, the indicator aims to gauge the effectiveness of market participants' positions.
Key Features:
- HPI Calculation: The HPI value is calculated using the formula: ((M - My) * C * V) * (1 + |OI - OI | / min(OI, OI )), where M represents the mean price for the current day, My represents the mean price for the previous day, C is a constant (set to 1), V is the volume, and OI is the open interest. This adjusted calculation accounts for changes in volume and open interest, providing a more nuanced view of market dynamics.
- Moving Averages: The script also includes two Exponential Moving Averages (EMAs) of the HPI values, allowing traders to identify trends and potential reversal points. Users can customize the length of these moving averages to suit their trading strategies.
- Visual Signals: The indicator visually represents the HPI values and their relationship to the moving averages. When the HPI value is above the shorter-term EMA, it suggests bullish momentum, while values below indicate bearish sentiment.
Asset Price Overlay @shrilssThis indicator allows traders to overlay multiple asset prices onto a single chart for easy comparison. By displaying the closing prices of different assets, users can quickly assess their performance relative to each other.
Key Features:
- Multiple Ticker Display: Users can select up to five different assets to display on the chart simultaneously.
- Customizable Label Positions: The script offers flexibility in choosing where to display the asset labels on the chart.
- Color Customization: Traders can customize the colors of the asset labels to suit their preferences.
ADX Oscillator @shrilssThis Indicator calculates the Average Directional Index (ADX), a popular indicator used to quantify the strength of a trend. Additionally, it computes the Positive Directional Index (+DI) and Negative Directional Index (-DI), which measure the strength of upward and downward price movements respectively.
What sets this script apart is its enhanced ADX calculations. It incorporates Moving Averages (MAs) of the +DI and -DI to offer a smoother representation of trend direction. By averaging these directional indices over a specified period, it aims to filter out noise and provide clearer signals of trend strength.
Traders have the flexibility to visualize the traditional ADX alongside the enhanced ADX oscillator. The script also highlights potential buying and selling opportunities based on crossover events between the directional indices and the ADX, helping traders identify optimal entry and exit points.
With customizable parameters such as the length of the Directional Movement (DM), ADX, and MA periods, this script empowers traders to adapt the indicator to different market conditions and timeframes.
VWAP Bands @shrilssVWAP Bands Integrates VWAP with standard deviation bands to provide traders with insights into potential support and resistance levels based on volume dynamics. VWAP is a key metric used by institutional traders to gauge the average price a security has traded at throughout the trading day, taking into account both price and volume.
This script calculates the VWAP for each trading session and overlays it on the price chart as a solid line. Additionally, it plots multiple standard deviation bands around the VWAP to indicate potential areas of price extension or contraction. These bands are derived from multiplying the standard deviation of price by predetermined factors, offering traders a visual representation of potential price ranges.
Trend Channels (MTF) | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Trend Channels (MTF) indicator! Latest trends play an important role for traders and sometimes it can be hard to spot trends in other timeframes. This indicator can plot latest trend channels across different timeframes, so you can spot trends and their channels easier. More info about the process in the "How Does It Work" section.
Features of the new Trend Channels (MTF) indicator :
Plot Trend Channels Across Up To 3 Different Timeframes
Broad Customizability Of Trend Detection
Variety Of Trend Invalidation Options
High Visual Customizability
🚩UNIQUENESS
While the detection of trend channels is a common concept among traders, trend channels across different timeframes can be as crucial as the ones in the current timeframe. This indicator can find them from up to 3 different timeframes. While the general settings will perform well enough most of the time, the indicator also provides fine-tuning options for trend detection and trend invalidation for more experienced traders.
📌 HOW DOES IT WORK ?
Trend channels occur when the price of an asset starts making a strong movement in a bullish or a bearish direction. This indicator detects trend channels using the Simple Moving Average (SMA). When the slope of the SMA line exceeds the user-defined size, a trend channel will occur.
To understand how individual settings work, you can check the "⚙️SETTINGS" section.
⚙️SETTINGS
1. General Configuration
SMA Length -> Determines the length used in the SMA function. Higher values mean that an average of a longer timespan will be taken into account when spotting trends.
Slope Length -> Used while finding the slope of the trend channel. Check this example for slope length :
ATR Size -> This setting is taken into calculation while checking if a trend channel is worth plotting. The higher this setting is, the higher the slope of the trend channel must be to get rendered. You can take a look at the chart provided above for a visual explanation.
Channel Expander -> When a trend channel occurs, the top and the bottom of the channel are initally determined by the latest highest highs / lowest lows. This setting expands the channel vertically by X times Average True Range (ATR). Check this example :
Trend Invalidation -> The trend channel gets invalidated when the bar closes / wicks above the top of the channel, or below the bottom of the channel. With this setting, you can switch the behaviour between bar close / bar wick.
Avoid False Invalidation -> This setting makes it harder for trend channels to get invalidated to prevent false invalidations.
Retries : The trend channel will have 5 chances for invalidation. First 4 invalidations will not invalidate the channel. The trend channel will only invalidate once the 5th invalidation occur.
Volume : The bar that invalidates the trend channel must have a volume higher than 1.5x the average bar volume of the current chart. Otherwise the trend channel will not be invalidated.
None : The trend channel will invalidate at the first invalidation.
Elder Force Index Oscillator @shrilssThe "Elder Force Index Oscillator" is a comprehensive tool designed to assess the strength and direction of trends in the market. This indicator combines volume and price movement to provide traders with valuable insights into market dynamics.
Key Features:
- Volume Weighted: The oscillator considers both price changes and volume, emphasizing the significance of volume in confirming price movements.
- Trend Identification: Utilizing exponential moving averages (EMAs) and Bollinger Bands (BB), the indicator identifies potential trend reversals and continuations.
- Trend Strength Highlighting: With customizable options, the script highlights areas of strong and weak trend initiation, aiding traders in making informed decisions.
How It Works:
- Elder Force Index (EFI): The EFI is calculated as the EMA of price changes multiplied by volume. A positive value suggests buying pressure, while a negative value indicates selling pressure.
- EFI Moving Average (EFI MA): This smooths out the EFI, providing a clearer indication of trend direction.
- Bollinger Bands (BB): The upper and lower bands are calculated based on a specified number of standard deviations from the EFI's moving average, offering insights into potential overbought or oversold conditions.
Multi VWAP from Gaps [MW]Multi VWAP from Gaps
Introduction
The Multi VWAP from Gaps tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends. It creates automatic AVWAPS for anchor points originating at the biggest gaps of the week, month, quarter and year. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Considering that large gaps can represent a shift in market structure, this tool provides unique and immediate insight into how past daily price gaps can and have affected price action.
Settings
LABEL SETTINGS
Show Biggest Gap of Week | Month | Quarter : Toggle labels that identify the location of the biggest gaps for the selected time period.
Show Big Labels : Toggle labels from showing the date and gap size to just showing a single letter (W/M/Q/Y) designating the time period that the gap is from.
Hide All Labels : Turn labels off and on.
MAX VWAP LINES
Max Weekly | Monthly | Quarterly | Yearly Lines : How many VWAP lines, starting from today, should be shown for the specified time period. Max: 5
SHOW VWAP LINES
Show Weekly | Monthly | Quarterly | Yearly Lines : This feature allows you to remove lines for the specified time period.
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
VWAPs that coincide with important events, such as FOMC meetings, CPI reports, earnings reports, have added significance. In many cases, these events can cause gaps to happen in day-to-day price movement, and can affect market structure going forward.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, in order to build the VWAP calculations, past data is needed that may not be available on shorter timeframes. The workaround is that for some longer-term VWAP lines on shorter timeframes, you may see less than the total of lines that you selected in settings. This is particularly the case with quarterly VWAP lines on the 5 minute timeframe for some equities.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev was invaluable. Special thanks to @antsmuzic for helping review and debug the script. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not have happened.
Gap Removal IndicatorThis gap indicator shows the price of your chosen instrument as if no gaps had occurred overnight. It can be especially useful on highly-volatile exchange-listed instruments that track other 24/7 assets, because the normal candlestick chart of these instruments will create a large amount of noise that may decrease the accuracy of your indicators or make the trend harder to see.
Gaps are determined with the following code:
daychange = ta.change(dayofmonth)
gapup = daychange and open > math.max(open,close)
gapdown = daychange and open < math.min(open,close)
Whereas the gap value is determined by taking the overnight difference in prices:
downgap_change = math.min(open,close) - open
upgap_change = open - math.max(open,close)
The gap changes are cumulatively added and subtracted from the initial closing price to create the gap-adjusted price. The price will depend on how many bars your subscription allows, so pay more attention to the relative differences and/or trend than the cumulative gap-adjusted price itself.
The gap indicator comes pre-built with normal candlestick and Heikin-Ashi candle types, and four indicators (two EMAs, Bollinger bands, and a supertrend). All elements are configurable.
Time Relative Volume Oscillator | Flux Charts💎 GENERAL OVERVIEW
The relative volume indicator aims to improve upon the default existing relative volume indicator by comparing volumes between previous trading sessions rather than previous candles. As such, it works best on lower time frames as there is more data to compare with. The purpose of the indicator is to show how the current bar’s volume compares to the volume at the same time on previous trading days.
There exists a couple different modes and combinations that each provide a different perspective on the trading volume.
Oscillator mode
Oscillator mode starts with the same relative volume calculation, but adds two EMAs of different lengths that diverge and converge. Like the MACD, it plots the difference as a histogram. This functions as an easy way to view when relative volume is increasing or decreasing.
How to use:
The oscillator oscillates between -1 and 1. It moves along with volume direction, so this mode can be used to view the current volume direction in a lagging fashion. In oscillating markets, this indicator can give an idea of how buy/sell volume is moving and where it currently stands. Small arrows mark where reversals are predicted, when the histogram crosses over 0. The biggest pitfall of this mode is that, in a straight trending market, the two EMAs converge and it gives a false reversal signal.
Delta mode
Delta volume mode is a step up from the buy/sell volume mode. It separates both sides into the top and bottom, while also displaying the actual volume behind it in a semi transparent overlay. The best feature, however, is the delta oscillator. This oscillator fluctuates depending on how buy/sell volume is changing and plots bullish/bearish labels when the dominant side (bullish/bearish) changes. The signals, while a bit common, can sometimes dictate large direction changes, started by a dominant volume switch.
On top of different display modes, there is also one more volume mode: buy/sell volume. Instead of only showing the total volume and relative volume, it calculates and separates buying and selling volume.
This volume mode displays differently in all three viewing modes, but the basic principle is the same. It adds a vital piece of information to the chart without adding clutter. The calculation for buy/sell volume uses the candle wicks and body to compare bullish and bearish movement.
Classic mode
Classic mode takes the default volume indicator and improves upon it by also displaying the relative volume on top of the actual volume. Relative volume is calculated similarly between the three display modes: simply by comparing the current bar’s volume to the volume at the same time during previous trading days. Classic mode displays this “relative volume” as well as a simple EMA over top of the actual trading volume.
Originality
The script improves upon the existing relative volume indicator by using previous trading days rather than previous candles to generate the relative volume. On top of that, the calculation methods are unique, using different formulas like variations of the sigmoid function to smooth noise. The main issue this script aims to fix is that towards the start or end of the day relative volume indicators all see spikes as volume grows into close. The new relative volume calculations fix this problem and show what the “true” relative volume is because they compare the current bar to the “same” bar on previous trading sessions.
VWMACD Oscillator @shrilssThe VWMACD Oscillator is a unique and innovative trading indicator designed to provide insights into market momentum using the Volume Weighted Moving Average Convergence Divergence (VWMACD) concept. This script amalgamates various elements to offer a comprehensive view of market trends and potential reversal points.
Key Features:
- Fast Period: Adjust the fast moving average period to fine-tune the sensitivity of the indicator to short-term price movements.
- Slow Period: Set the slow moving average period to control the responsiveness of the indicator to longer-term trends.
- Signal Period: Determine the signal line period to smooth out fluctuations and identify potential trade signals.
- Longer Period: Define the longer period to capture extended trends and market cycles.
How it Works:
The VWMACD Oscillator is derived from the convergence and divergence of two volume-weighted moving averages. It combines the volume factor with the source input to create a robust momentum oscillator. The fast and slow moving averages are calculated by weighting the source with the corresponding volume, providing a unique perspective on market strength.
Dynamic Price Targets @shrilssDynamic Price Targets is a designed to provide traders with a comprehensive view of dynamic price levels based on Volume Weighted Moving Average (VWMA) and standard deviation. This script allows users to identify potential support and resistance zones, aiding in strategic decision-making during market analysis.
The script calculates the VWMA of a chosen price source over a specified length, establishing a dynamic baseline for market trends. The standard deviation is then used to derive multiple upper and lower targets, each representing a certain deviation from the VWMA. These levels are color-coded for clarity, with upper targets displayed in shades of red and lower targets in shades of green.
Timeframe PivotsUse this tool to plot open prices from any timeframe as a pivot level with the option to go advanced and turn on extensions (instructions below), which review the relationship between previous and current open prices to build range extensions up to six levels wide.
Please be aware extensions, nor vwap are not enabled by default! It is up to the user to determine how they wish to setup this indicator. Please read the full description for utilizing this indicator so that it's well known the complete feature set and understanding of how to enable additional plots, complete instruction is provided for all users below.
Default configuration example:
To enable extensions the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the section labeled "Extensions", use the mouse or equivalent human interface device to check the checkbox to the right of the color plots and line type drop down.
Extensions enabled example:
Timeframe Selection
Timeframes available to the indicator are any timeframe the platform makes available to the user by default, or also if the TradingView user has higher tier plan to create custom timeframes - those should be available as well. To adjust timeframe the user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", depending on screen resolution scrolling with mouse may need to occur in order to find the input labeled "Timeframe", use the mouse or equivalent human interface device select the drop down and select timeframe suitable to users application.
How the extension width and extensions are calculated:
The exact process takes the new timeframe change open price calculates the difference between prior open, once that has been completed then it's divided in half to build extensions.
Code example:
Extension Width = (Open - Open ) / 2
How the extensions are calculated:
// +1 for positive extension, -1 for negative extension
(Extension Width * (Configured Multiplier * 1)) + Pivot Open Price
+1 Extension:
$5 * (1.0 * 1) + $400 = $405
-1 Extension:
$5 * (1.0 * -1) + $400 = $395
So it should be established how each projected extension, either positive or negative, is created.
Range bound market detection and notes:
One note regarding the ranges, sometimes the open prices of each period can be close in proximity to their predecessor, there's not enough range to build meaningful projections. In these situations this means the market is most likely range bound and prior range data is utilized to continue providing guidance. This addresses an issue with other pivot indicators that will instead blindly follow price and present useless pivot ranges.
It does this through detection of average half range widths, the last 14 ranges to be exact, if the current, (open - open / 2), half range width is smaller than the average, prior half range width will be used.
Code example:
// assume past half range widths are 10, 8, 9, 5, 14, 7, 7, 9, 10, 10, 4, 7, 7, 8
float v_halfRangeWidthToUseForExtensions = na
v_priorHalfRangeWidth = 10
v_avgHalfRangeWidth = 8.2 // past range widths sum = 115 / 14
v_newHalfRangeWidthToUseForExtensions = 2 // new open - open is tiny compared to avg
if v_newHalfRangeWidthToUseForExtensions < v_avgHalfRangeWidth
// replace new half range width with previous one
v_newHalfRangeWidthToUseForExtensions := v_priorHalfRangeWidth
In the code example above if the new half range width was above or equal to the rolling average, no adjustment would be made by the indicator.
VWAP
Additional feature of showing vwap, anchored to the same timeframe as the pivot, provides a trend and volume analysis within the confines of the pivots range.
The user must open the indicator configuration by clicking the gear icon for "Timeframe Pivots", scroll using mouse to the "VWAP" section and click the checkbox next to the "Source" field, past the color plots. They are not enabled by default!
The user can also add the bands for VWAP by clicking the checkbox next to the "Bands" field, past the color plots. They are not enabled by default!
VWAP calculations begin from open price of new timeframe change, then afterwards the "Source" set is utilized, the default is HLC3 which is standard for VWAP indicators.
Multiple Timeframe Analysis (MTFA)
It's simple to create a unique combination of favored timeframes for multiple timeframe analysis, consider daily, weekly and monthly combined analysis for powerful indications of market sentiment and directional bias.
Example MTFA demonstration:
Why was this created?
I created this while investigating the efficacy of open price ranges, it became apparent that these pivot ranges are some of the more price respecting pivots I've ever observed. I also grew tired of lack of price adherence to other pivot indicators widely available.
There exists a relationship between each timeframes open price in comparison to prior open price, if the market is willing to navigate to a prior lower open price from higher open price, it could be perceived as bearish and the extensions (if enabled as instructed above), could be suitable range based projections for future price movements.
Example comparison:
As can be seen, and there are many examples, where Timeframe Pivots provides more discreet levels and potential explanations for price movements.
