MA Deviation Suite [InvestorUnknown]This indicator combines advanced moving average techniques with multiple deviation metrics to offer traders a versatile tool for analyzing market trends and volatility.
Moving Average Types :
SMA, EMA, HMA, DEMA, FRAMA, VWMA: Standard moving averages with different characteristics for smoothing price data.
Corrective MA: This method corrects the MA by considering the variance, providing a more responsive average to price changes.
f_cma(float src, simple int length) =>
ma = ta.sma(src, length)
v1 = ta.variance(src, length)
v2 = math.pow(nz(ma , ma) - ma, 2)
v3 = v1 == 0 or v2 == 0 ? 1 : v2 / (v1 + v2)
var tolerance = math.pow(10, -5)
float err = 1
// Gain Factor
float kPrev = 1
float k = 1
for i = 0 to 5000 by 1
if err > tolerance
k := v3 * kPrev * (2 - kPrev)
err := kPrev - k
kPrev := k
kPrev
ma := nz(ma , src) + k * (ma - nz(ma , src))
Fisher Least Squares MA: Aims to reduce lag by using a Fisher Transform on residuals.
f_flsma(float src, simple int len) =>
ma = src
e = ta.sma(math.abs(src - nz(ma )), len)
z = ta.sma(src - nz(ma , src), len) / e
r = (math.exp(2 * z) - 1) / (math.exp(2 * z) + 1)
a = (bar_index - ta.sma(bar_index, len)) / ta.stdev(bar_index, len) * r
ma := ta.sma(src, len) + a * ta.stdev(src, len)
Sine-Weighted MA & Cosine-Weighted MA: These give more weight to middle bars, creating a smoother curve; Cosine weights are shifted for a different focus.
Deviation Metrics :
Average Absolute Deviation (AAD) and Median Absolute Deviation (MAD): AAD calculates the average of absolute deviations from the MA, offering a measure of volatility. MAD uses the median, which can be less sensitive to outliers.
Standard Deviation (StDev): Measures the dispersion of prices from the mean.
Average True Range (ATR): Reflects market volatility by considering the day's range.
Average Deviation (adev): The average of previous deviations.
// Calculate deviations
float aad = f_aad(src, dev_len, ma) * dev_mul
float mad = f_mad(src, dev_len, ma) * dev_mul
float stdev = ta.stdev(src, dev_len) * dev_mul
float atr = ta.atr(dev_len) * dev_mul
float avg_dev = math.avg(aad, mad, stdev, atr)
// Calculated Median with +dev and -dev
float aad_p = ma + aad
float aad_m = ma - aad
float mad_p = ma + mad
float mad_m = ma - mad
float stdev_p = ma + stdev
float stdev_m = ma - stdev
float atr_p = ma + atr
float atr_m = ma - atr
float adev_p = ma + avg_dev
float adev_m = ma - avg_dev
// upper and lower
float upper = f_max4(aad_p, mad_p, stdev_p, atr_p)
float upper2 = f_min4(aad_p, mad_p, stdev_p, atr_p)
float lower = f_min4(aad_m, mad_m, stdev_m, atr_m)
float lower2 = f_max4(aad_m, mad_m, stdev_m, atr_m)
Determining Trend
The indicator generates trend signals by assessing where price stands relative to these deviation-based lines. It assigns a trend score by summing individual signals from each deviation measure. For instance, if price crosses above the MAD-based upper line, it contributes a bullish point; crossing below an ATR-based lower line contributes a bearish point.
When the aggregated trend score crosses above zero, it suggests a shift towards a bullish environment; crossing below zero indicates a bearish bias.
// Define Trend scores
var int aad_t = 0
if ta.crossover(src, aad_p)
aad_t := 1
if ta.crossunder(src, aad_m)
aad_t := -1
var int mad_t = 0
if ta.crossover(src, mad_p)
mad_t := 1
if ta.crossunder(src, mad_m)
mad_t := -1
var int stdev_t = 0
if ta.crossover(src, stdev_p)
stdev_t := 1
if ta.crossunder(src, stdev_m)
stdev_t := -1
var int atr_t = 0
if ta.crossover(src, atr_p)
atr_t := 1
if ta.crossunder(src, atr_m)
atr_t := -1
var int adev_t = 0
if ta.crossover(src, adev_p)
adev_t := 1
if ta.crossunder(src, adev_m)
adev_t := -1
int upper_t = src > upper ? 3 : 0
int lower_t = src < lower ? 0 : -3
int upper2_t = src > upper2 ? 1 : 0
int lower2_t = src < lower2 ? 0 : -1
float trend = aad_t + mad_t + stdev_t + atr_t + adev_t + upper_t + lower_t + upper2_t + lower2_t
var float sig = 0
if ta.crossover(trend, 0)
sig := 1
else if ta.crossunder(trend, 0)
sig := -1
Backtesting and Performance Metrics
The code integrates with a backtesting library that allows traders to:
Evaluate the strategy historically
Compare the indicator’s signals with a simple buy-and-hold approach
Generate performance metrics (e.g., mean returns, Sharpe Ratio, Sortino Ratio) to assess historical effectiveness.
Practical Usage and Calibration
Default settings are not optimized: The given parameters serve as a starting point for demonstration. Users should adjust:
len: Affects how smooth and lagging the moving average is.
dev_len and dev_mul: Influence the sensitivity of the deviation measures. Larger multipliers widen the bands, potentially reducing false signals but introducing more lag. Smaller multipliers tighten the bands, producing quicker signals but potentially more whipsaws.
This flexibility allows the trader to tailor the indicator for various markets (stocks, forex, crypto) and time frames.
Disclaimer
No guaranteed results: Historical performance does not guarantee future outcomes. Market conditions can vary widely.
User responsibility: Traders should combine this indicator with other forms of analysis, appropriate risk management, and careful calibration of parameters.
Volatilità
Volume-Weighted Delta Strategy V1 [Kopottaja]Volume-Weighted Delta Strategy V1
Key Features:
Volume-Weighted Delta:
The strategy calculates a custom delta value based on the difference between the close and open prices, weighted by trading volume. This helps identify strong buying or selling activity.
ATR Channels:
The ATR channels are adjusted dynamically based on the delta value, which adds flexibility to the strategy by accounting for market volatility.
Moving Averages:
The strategy includes moving averages (SMA and EMA) for trend detection and signal confirmation. The 20-period EMA changes color based on the relationship between the delta value and its moving average.
Signal Logic:
Bullish Signals: Generated when the delta moving average crosses above the delta value, and the price crosses above the upper ATR band.
Bearish Signals: Generated when the delta moving average crosses below the delta value, and the price crosses below the lower ATR band.
Exit Conditions: Positions are closed based on reverse crossovers or specific ATR band thresholds.
Customizable Parameters:
Delta length, moving average length, ATR period, and volume thresholds are adjustable to suit various trading styles and instruments.
Optimized for Bitcoin on a 5-Minute Timeframe:
This strategy is particularly effective for trading Bitcoin on a 5-minute timeframe, where its sensitivity to volume and volatility helps capture short-term price movements and breakout opportunities.
Visual Outputs:
EMA plotted with dynamic colors indicating bullish (green) or bearish (red) conditions.
ATR channels (upper and lower bands) plotted in green to outline volatility zones.
Signals are logged in the strategy to automate buy/sell decisions.
This strategy is ideal for traders seeking to incorporate volume and volatility dynamics into their decision-making process, especially for short-term Bitcoin trading. It excels at identifying potential trend reversals and breakout opportunities in both trending and range-bound markets.
Uptrick: Smart BoundariesThis script is designed to help traders identify potential turning points in the market by combining RSI (Relative Strength Index) signals and Bollinger Bands. It also includes a built-in mechanism to manage the number of consecutive buy and sell entries, often referred to as pyramiding. Below you will find a detailed explanation of how the script works, how it was designed, and some suggestions on using it effectively in your trading workflow.
Overview
The script calculates RSI using a user-defined length and identifies when the RSI is in overbought or oversold territory based on user-selected threshold levels (default values for RSI overbought and oversold are 70 and 30, respectively). Additionally, it plots Bollinger Bands, which can provide context on potential price volatility. A Bollinger Band uses a moving average of the closing price plus and minus a configurable multiplier of the standard deviation. When price closes below the lower band, it may suggest a temporary oversold condition. Conversely, when price closes above the upper band, it may suggest an overbought condition.
Combining RSI and Bollinger Bands
The buy condition is triggered when the RSI is below the defined oversold level and the closing price is below the lower Bollinger Band. The idea behind this is that both momentum (as indicated by RSI) and volatility (as indicated by Bollinger Bands) are pointing to a potential undervaluation of price. The sell condition is the mirror image of that logic: it is triggered when the RSI is above the defined overbought level and the closing price is above the upper Bollinger Band. These signals aim to highlight points in the market where there could be a momentum shift or a mean reversion.
Pyramiding Logic
A unique aspect of this script is how it manages pyramiding, which is the practice of taking multiple entries in the same direction. For example, if you already have a buy entry and the conditions remain bullish, you might want to add an additional position. However, controlling how often you add those positions can be crucial in risk management. The script includes a variable that counts the number of buys and sells currently triggered. Once the maximum allowed number of entries per side (defined as maxPyramiding) is reached, no more entries of that type are plotted.
There is an optional feature (enablePyramiding) that allows you to reduce pyramiding by disabling it if you prefer to take only one entry per signal. When disabled, the script will not allow additional positions in the same direction until a reset occurs, which happens when the condition for that side is not met.
Labels and Visuals
Every time a buy or sell condition is triggered, the script plots a small label on the chart at the bar index. A buy label appears underneath the price to visually mark the entry, while a sell label appears above the price. These labels make it easy to see on the chart exactly when both conditions coincide (RSI condition and Bollinger Band condition). This visual reference helps traders quickly spot patterns and potential entry or exit points.
Alongside these signals, you can also see the Bollinger Bands plotted in real time. The upper band is shown in red, and the lower band is shown in green. Having these bands on the chart allows you to see when price is trading near the extremes of its recent average range.
Alerts
Alerts can be set to notify you when a buy or sell condition appears. This means that even if you are not actively watching the chart, you can receive a notification (through TradingView's alert system) whenever RSI crosses into oversold or overbought territory in conjunction with price closing outside the Bollinger Bands.
Potential Uses
Traders might use this tool for a range of styles, from scalping to swing trading. Since the signals are based on RSI and Bollinger Bands, it can help highlight points of possible mean reversion, but it does not guarantee future performance. It may be beneficial to combine it with other forms of technical analysis, such as volume studies or support/resistance levels, to help filter out weaker signals.
Customization
One of the main strengths of this script is its flexibility. All key parameters can be tuned to fit your personal trading style and risk tolerance. You can adjust:
• The RSI length and threshold levels for overbought/oversold.
• Bollinger Band length and multiplier to catch wider or narrower volatility bands.
• The maximum allowed pyramiding entries per side.
• Whether to enable or disable pyramiding logic altogether.
Uniqueness of This Script
A distinctive aspect of this script is its combination of a classic momentum indicator (RSI) with Bollinger Bands, plus an intelligent pyramiding component. While many indicators simply plot RSI or Bollinger Bands, this script synchronizes the two to highlight oversold and overbought conditions more precisely. At the same time, the built-in pyramiding counter allows you to manage how many times you enter on the same signal direction, giving you a dynamic scaling feature not commonly seen in standalone RSI or Bollinger Band scripts. This approach helps traders maintain consistent risk management by preventing excessive stacking of positions when signals continue to appear, which can be beneficial for those who like to scale into trades gradually. All these factors contribute to the script's uniqueness and potential usefulness for a wide range of trading styles, from cautious single-entry traders to those who prefer incremental position building.
Conclusion
This script is a helpful tool for traders interested in combining momentum and volatility indicators. By integrating RSI signals with Bollinger Band breakouts, it tries to uncover moments when price might be at an extreme. It further offers pyramiding control, which can be appealing to traders who like to scale into positions. As with any technical indicator or script, it is important to do additional research and not rely solely on these signals. Always consider using proper risk management, and keep in mind that no tool can accurately predict future prices every time.
BACKTESTED RESULTS
The script has proven to be the most profitable on the 3 mins timeframe with these settings:
RSI Length: 17
Overbought Level: 70
Oversold Level: 33
Bollinger Bands Length: 19
Bollinger Bands Multiplier: 2
As of 22nd December 2024
Pyramiding was set to 10
Not financial advice
TOTAL WINNING RATE: 75.04%
Trend Trader-Remastered StrategyOfficial Strategy for Trend Trader - Remastered
Indicator: Trend Trader-Remastered (TTR)
Overview:
The Trend Trader-Remastered is a refined and highly sophisticated implementation of the Parabolic SAR designed to create strategic buy and sell entry signals, alongside precision take profit and re-entry signals based on marked Bill Williams (BW) fractals. Built with a deep emphasis on clarity and accuracy, this indicator ensures that only relevant and meaningful signals are generated, eliminating any unnecessary entries or exits.
Please check the indicator details and updates via the link above.
Important Disclosure:
My primary objective is to provide realistic strategies and a code base for the TradingView Community. Therefore, the default settings of the strategy version of the indicator have been set to reflect realistic world trading scenarios and best practices.
Key Features:
Strategy execution date&time range.
Take Profit Reduction Rate: The percentage of progressive reduction on active position size for take profit signals.
Example:
TP Reduce: 10%
Entry Position Size: 100
TP1: 100 - 10 = 90
TP2: 90 - 9 = 81
Re-Entry When Rate: The percentage of position size on initial entry of the signal to determine re-entry.
Example:
RE When: 50%
Entry Position Size: 100
Re-Entry Condition: Active Position Size < 50
Re-Entry Fill Rate: The percentage of position size on initial entry of the signal to be completed.
Example:
RE Fill: 75%
Entry Position Size: 100
Active Position Size: 50
Re-Entry Order Size: 25
Final Active Position Size:75
Important: Even RE When condition is met, the active position size required to drop below RE Fill rate to trigger re-entry order.
Key Points:
'Process Orders on Close' is enabled as Take Profit and Re-Entry signals must be executed on candle close.
'Calculate on Every Tick' is enabled as entry signals are required to be executed within candle time.
'Initial Capital' has been set to 10,000 USD.
'Default Quantity Type' has been set to 'Percent of Equity'.
'Default Quantity' has been set to 10% as the best practice of investing 10% of the assets.
'Currency' has been set to USD.
'Commission Type' has been set to 'Commission Percent'
'Commission Value' has been set to 0.05% to reflect the most realistic results with a common taker fee value.
Z-Strike RecoveryThis strategy utilizes the Z-Score of daily changes in the VIX (Volatility Index) to identify moments of extreme market panic and initiate long entries. Scientific research highlights that extreme volatility levels often signal oversold markets, providing opportunities for mean-reversion strategies.
How the Strategy Works
Calculation of Daily VIX Changes:
The difference between today’s and yesterday’s VIX closing prices is calculated.
Z-Score Calculation:
The Z-Score quantifies how far the current change deviates from the mean (average), expressed in standard deviations:
Z-Score=(Daily VIX Change)−MeanStandard Deviation
Z-Score=Standard Deviation(Daily VIX Change)−Mean
The mean and standard deviation are computed over a rolling period of 16 days (default).
Entry Condition:
A long entry is triggered when the Z-Score exceeds a threshold of 1.3 (adjustable).
A high positive Z-Score indicates a strong overreaction in the market (panic).
Exit Condition:
The position is closed after 10 periods (days), regardless of market behavior.
Visualizations:
The Z-Score is plotted to make extreme values visible.
Horizontal threshold lines mark entry signals.
Bars with entry signals are highlighted with a blue background.
This strategy is particularly suitable for mean-reverting markets, such as the S&P 500.
Scientific Background
Volatility and Market Behavior:
Studies like Whaley (2000) demonstrate that the VIX, known as the "fear gauge," is highly correlated with market panic phases. A spike in the VIX is often interpreted as an oversold signal due to excessive hedging by investors.
Source: Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
Z-Score in Financial Strategies:
The Z-Score is a proven method for detecting statistical outliers and is widely used in mean-reversion strategies.
Source: Chan, E. (2009). Quantitative Trading. Wiley Finance.
Mean-Reversion Approach:
The strategy builds on the mean-reversion principle, which assumes that extreme market movements tend to revert to the mean over time.
Source: Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91.
RSI-ATR Analyzer (overbought/oversold)Combine RSI and ATR insights for comprehensive market analysis.
Description:
The RSI-ATR Analyzer indicator integrates the Relative Strength Index (RSI) with Average True Range (ATR) analysis to provide traders with an enhanced understanding of price action. This tool is particularly useful for identifying overbought/oversold conditions and analyzing average price ranges relative to ATR.
Use ATR-based ranges to assess volatility and combine it with RSI signals to enhance your decision-making process.
Features:
RSI Analysis: Tracks RSI to identify overbought and oversold levels.
ATR-Based Ranges: Calculates and plots the average range from high to open and open to low based on ATR.
Customizable Parameters: Allows full customization of RSI length, ATR length, overbought/oversold levels, and line colors.
Alerts: Sends alerts when RSI enters overbought or oversold zones.
Inputs:
RSI Source: Choose the data source for RSI calculations (default: close price).
RSI Length: Set the length for RSI calculation (default: 14).
ATR Length: Adjust the ATR length for range calculations (default: 50).
Overbought/Oversold Levels: Define the RSI thresholds for overbought (default: 70) and oversold (default: 30) levels.
Line Color: Customize the RSI line color (default: blue).
Plots:
High to Open Range: Plots the average range from high to open in green.
Open to Low Range: Plots the average range from open to low in red.
RSI Line: Displays the RSI value over time with thresholds for overbought and oversold levels.
How to Use:
Add the indicator to your chart.
Customize the parameters to fit your trading strategy.
Use the plotted ranges to understand price movements and compare them with RSI readings.
Set alerts to monitor RSI entry into overbought or oversold zones.
Alerts:
"RSI is in overbought zone!"
Triggers when RSI crosses above the overbought level.
"RSI is in oversold zone!"
Triggers when RSI crosses below the oversold level.
Visualization:
Transparent green and red areas represent ATR-based ranges for high-to-open and open-to-low, respectively.
Blue line depicts the RSI, with clear markers for overbought (70) and oversold (30) levels.
Use Cases:
Identify potential reversals with RSI overbought/oversold signals.
Analyze price movement ranges relative to ATR.
Combine with other indicators to build a robust trading strategy.
Refined MACD Heikin Ashi Indicator v1.1MACD Golden/Death cross Buy/Sell indicator working with Heikin Ashi candles with refined accuracy, with stoploss of atr x1.75
Relative Volatility Measure (RVM) Daily ChartsThis was uploaded before I believe by © AIFinPlot and it's gone.
I use this to know and to see WHEN volatility cycles are high meaning high volatility is present in the chart from price expansion or volatility increasing in the product (as it goes in cycles that can be very different from every other day) to low volatility ONLY for the daily chart to know my environmental conditions on the 3-1 minute timeframe, so I can avoid trending, breakout strategies when on low volatility (yellow and red areas) and utilize breakouts or trend strategies on high volatility environments (no color). tweak it. hope it helps!!
This is a script only to give you a holistic idea of the volatility for the last couple of hours or days. It is not a product to predict future volatility or any future volatility. Combine this with looking at how size candles have grown or decreased, order flows and speed, swings getting bigger or smaller, and checking with the VIX to gauge volatility in order to know if your strategy will work in current conditions.
works well with daily charts and this is for analysis before trading.
All-in-One Script (KAMA + ATR + EMA/Bollinger)This All-in-One Script (KAMA + ATR + EMA/Bollinger) is a comprehensive trading system that combines three different technical analysis tools in a single indicator:
1. KAMA (Kaufman Adaptive Moving Average):
- An advanced moving average that automatically adjusts to market volatility
- Moves quickly during trending periods and slowly in sideways markets
- Default period is set to 21
- Displayed with a blue line
- Adapts to both trending and ranging markets
2. ATR (Average True Range) Levels:
- Creates volatility-based support and resistance levels
- Uses daily (D) timeframe by default
- Utilizes 14-period ATR value
- Shows upper (green) and lower (red) ATR levels on the last bar
- Displays price values next to each level
- Helps identify potential price targets and stop levels
3. EMA (Exponential Moving Average) and Bollinger Bands:
- 9-period EMA displayed with thick orange line
- Optional Bollinger Bands based on this EMA
- Additional smoothing options available:
* SMA (Simple Moving Average)
* EMA (Exponential Moving Average)
* SMMA/RMA (Smoothed/Running Moving Average)
* WMA (Weighted Moving Average)
* VWMA (Volume Weighted Moving Average)
Customization Options:
- Each component (KAMA, ATR, EMA) can be toggled on/off independently
- Adjustable period values for all indicators
- Configurable Bollinger Band deviation multiplier (default 2.0)
- EMA offset value can be adjusted
- Various color and style settings
Use Cases:
1. Trend Following:
- Identify trend direction and strength
- Spot potential trend reversals
- Monitor momentum changes
2. Volatility Trading:
- Determine dynamic support/resistance levels
- Set appropriate stop-loss levels
- Gauge market volatility conditions
3. Price Action Analysis:
- Multiple timeframe analysis
- Trend confirmation
- Divergence identification
4. Risk Management:
- ATR-based position sizing
- Dynamic stop-loss placement
- Volatility-adjusted targets
Trading Applications:
- Suitable for both trend followers and swing traders
- Effective in various market conditions
- Helps in both entry and exit decisions
- Provides multiple confirmation signals
- Works across different timeframes
Technical Details:
- Built for TradingView platform
- Uses Pine Script version 6
- Optimized for real-time calculation
- Minimal performance impact
- Reliable data processing
This indicator is ideal for traders who want a comprehensive view of market conditions without overcrowding their charts with multiple indicators. It combines trend following, volatility measurement, and momentum analysis in one package.
RSI Top & Bottom Warning [ZARMEN]An enhancement of my RSI Bottom Indicator.
This one finds you Tops & Bottoms.
This indicator uses the RSI and prints you top & bottom warnings directly on the price chart.
The other special thing about this is that the RSI pulls the data from the weekly chart no matter on what timeframe you are on.
The preferred timeframe can, of course, be changed in the settings as well as any thresholds for tops and bottoms.
The default settings are very good for btc, but be free to try and test this indicator with different settings on different charts.
EMA ivis Breakout StrategyEine bewährte Strategie kombiniert gleitende Durchschnitte (EMAs) mit einem Breakout-Filter, um nur bei klaren Markttrends zu handeln. Entwickelt habe ich diese für BTCUSD, funktioniert aber auch in anderen Assets.
Ausstiegsregeln:
Für den Stop-Loss: 1,5-fache ATR unterhalb/oberhalb des Einstiegskurses.
Für den Take-Profit: 2-fache ATR über/unter dem Einstiegspunkt
Zeit Filter:
Der Indikator liefert nur in der definierten Handelszeit Signale. Diese können SIe selbstständig in den Einstellungen verändern.
Die Strategie kann man bestens in 15min anwenden.
AI+VPS Strategy by Vijay Prasad AI+VPS by Vijay Prasad
Overview:
The "AI+VPS Strategy by Vijay Prasad " is an advanced trend-following trading strategy combining AI-powered VPS Divergence Strategy and WoW Trends methodology. It integrates the power of VPS , which identifies market volatility and trend strength, with RSI Divergence to detect potential price reversals. This strategy aims to provide accurate entry signals for both long and short positions, leveraging both trend momentum and divergence analysis for enhanced market predictions.
How It Works:
The strategy first checks if the WoW Trends indicator signals a change in trend (from bullish to bearish or vice versa).
It then applies the VPS condition to confirm volatility and trend strength.
If both conditions align (e.g., bullish trend, volatility breakout), a buy signal is generated. Conversely, if the conditions are bearish, a sell signal is triggered.
The system also analyzes RSI Divergence, using it to identify potential reversals and further confirm the trade direction.
Trade positions are managed with profit targets and automatic exit strategies.
"This strategy works best on shorter timeframes, like the 5-minute chart. For optimal results, use an ATR Multiplier of 2 and a VPS length of 8."
Strategy Logic:
WoW Trends + VPS Strategy : A combination of volatility-based trend conditions for more accurate entry signals.
VPS Divergence Strategy: Detects divergence between price and RSI to spot potential reversals, ensuring that trades are only taken when market conditions favor them.
Abnormal Delta Volume HistogramThis indicator can help traders spot potential turning points or heightened volatility and provides a dynamic measure of unusual market behavior by focusing on shifts in “delta volume.” Delta volume is approximated by assigning all of a bar’s volume to the bullish side if the close is higher than the open and to the bearish side if the close is lower. The result is a net volume measure that can hint at which side—buyers or sellers—has the upper hand. By comparing this delta volume to its historical averages and measuring how far current readings deviate in terms of standard deviations, the indicator can highlight bars that reflect significantly stronger than normal buying or selling pressure.
A histogram visualizes these delta volume values on a bar-by-bar basis, while additional reference lines for the mean and threshold boundaries allow traders to quickly identify abnormal conditions. When the histogram bars extend beyond the threshold lines, and are colored differently to signal abnormality, it can draw the trader’s eye to periods when market participation or sentiment may be shifting rapidly. This can be used as an early warning signal, prompting further investigation into price action, external news, or significant events that may be driving unusual volume patterns.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Dynamic ATR Levels (Last Bar Only)Dynamic ATR Levels (Last Bar Only)
This script uses the ATR (Average True Range) indicator to create dynamic support and resistance levels for a specified timeframe. Key features include:
1. ATR Calculation: The script calculates the ATR value based on the user-defined timeframe and lookback period.
2. Dynamic Levels: Support and resistance levels are calculated by adding and subtracting the ATR value to/from the current closing price.
3. Last Bar Execution: Support and resistance levels are displayed only on the last bar of the chart.
4. Labels: The levels are displayed as labels on the chart, positioned to the right side of the price.
This indicator helps traders quickly identify volatility-based support and resistance levels.
Williams Alligator with FLI and SupertrendThis indicator combines Williams Alligator with follow line indicator and Supertrend to get trend confirmation with baseline as jaw line of Williams Alligator indicator.
The Williams Alligator is a trend-following indicator developed by Bill Williams, designed to identify and confirm the market's trend direction. It consists of three smoothed moving averages that represent the jaws, teeth, and lips of an alligator, symbolizing the market's behavior.
The Follow Line Indicator is a technical analysis tool designed to help traders identify and follow the prevailing market trend. It provides clear buy or sell signals based on the direction of the trend, aiding in smoother and more informed decision-making during trades.
The Supertrend indicator is a popular trend-following technical analysis tool designed to identify the direction of the market trend and highlight potential buy or sell signals. It is commonly used to confirm market trends and help traders make decisions based on price movements relative to a defined threshold.
Breadth of Volatility The Breadth of Volatility (BoV) is an indicator designed to help traders understand the activity and volatility of the market. It focuses on analyzing how fast prices are moving and how much trading volume is driving those movements. By combining these two factors—price speed and volume strength—the BoV provides a single value that reflects the current level of market activity. This can help traders identify when the market is particularly active or calm, which is useful for planning trading strategies.
The speed component of the BoV measures how quickly prices are moving compared to their recent average. This is done by using a metric called the Average True Range (ATR), which calculates the typical size of price movements over a specific period. The BoV compares the current price change to this average, showing whether the market is moving faster or slower than usual. Faster price movements generally indicate higher volatility, which might signal opportunities for active traders.
The strength component focuses on the role of trading volume in price changes. It multiplies the trading volume by the size of the price movement to create a value called volume strength. This value is then compared to the highest volume strength seen over a recent period, which helps gauge whether the current price action is being strongly supported by trading activity. When the strength value is high, it suggests that market participants are actively trading and supporting the price movement.
These two components—speed and strength—are averaged to calculate the Breadth of Volatility value. While the formula also includes a placeholder for a third component (related to fundamental analysis), it is currently inactive and does not influence the final value. The BoV is displayed as a line on a chart, with a zero line for reference. Positive BoV values indicate heightened market activity and volatility, while values near zero suggest a quieter market. This indicator is particularly helpful for new traders to monitor market conditions and adjust their strategies accordingly, whether they’re focusing on trend-following or waiting for calmer periods for more conservative trades.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
6 Bollinger BandsYou can display 6 BB. It’s simple, so feel free to adjust it as you like. Your support would be a great motivator for creating new indicators.
6本のBBを表示できます。
シンプルですので、ご自由に調整してください。
応援頂けると新たなインジケーター作成の糧になります。
Custom Volume Indicator by Augster67//@version=5
indicator("Custom Volume Indicator by Augster67", overlay=false)
// Input for moving average period
vol_avg_period = input.int(20, title="Volume Moving Average Period")
// Calculate volume components
buying_pressure = volume * (close > open ? (close - low) / (high - low) : (close - low) / (high - low))
selling_pressure = volume * (close < open ? (high - close) / (high - low) : (high - close) / (high - low))
// Calculate moving average of volume
vol_avg = ta.sma(volume, vol_avg_period)
// Plot total volume in gray behind buying and selling pressures
plot(volume, color=color.gray, title="Total Volume", style=plot.style_histogram, linewidth=2, transp=80)
// Plot buying and selling pressure as columns
plot(buying_pressure, color=color.green, title="Buying Pressure", style=plot.style_columns, linewidth=2)
plot(selling_pressure, color=color.red, title="Selling Pressure", style=plot.style_columns, linewidth=2)
// Plot volume moving average
plot(vol_avg, color=color.yellow, title="Volume Moving Average")
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
ATR Stop-Loss CalculatorATR (Average True Range) kullanarak long ve short işlemleri için stop-loss seviyelerini hesaplar ve grafikte gösterir. Ayrıca Sağ üst köşede stop-loss seviyelerini bir tablo olarak görüntüler. Ayarlanabilir parametreler sayesinde esnek ve kullanıcı dostu bir araçtır.
Özellikler:
ATR'ye dayalı long ve short stop-loss seviyeleri.
Sağ üst köşede stop-loss seviyelerini gösteren tablo.
Kullanıcı tarafından özelleştirilebilir ATR uzunluğu, çarpanı ve hareketli ortalama uzunlukları.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
Filtered ATR with EMA OverlayFiltered ATR with EMA Overlay is an advanced volatility indicator designed to provide a more accurate representation of market conditions by smoothing the standard Average True Range (ATR). This is achieved by filtering out extreme price movements and abnormal bars that can distort traditional ATR calculations.
The indicator applies an Exponential Moving Average (EMA) to the filtered ATR, creating a dual-layered system that highlights periods of increased or decreased volatility.
Key Features:
Filtered ATR: Filters out extreme bars, reducing noise and making the ATR line more reliable.
EMA Overlay: An EMA (default period of 10) is applied to the filtered ATR, allowing traders to track average volatility trends.
Volatility Signals:
Filtered ATR > EMA(10): Indicates higher-than-average volatility. This often correlates with trend breakouts or strong price movements.
Filtered ATR < EMA(10): Suggests reduced volatility, signaling potential consolidation or sideways price action.
Parameters:
atrLength (Default: 5):
The number of bars used to calculate the ATR. A shorter period (e.g., 3-5) responds faster to price changes, while a longer period (e.g., 10-14) provides smoother results.
multiplier (Default: 1.8):
Controls the sensitivity of the filter. A lower multiplier (e.g., 1.5) filters out more bars, resulting in smoother ATR. Higher values (e.g., 2.0) allow more bars to pass through, retaining more price volatility.
maxIterations (Default: 20):
The maximum number of bars processed to detect abnormal values. Increasing this may improve accuracy at the cost of performance.
ema10Period (Default: 10):
The period for the Exponential Moving Average applied to the filtered ATR. Shorter periods provide faster signals, while longer periods give smoother, lagging signals.
Trading Strategies:
1. Breakout Strategy:
When filtered ATR crosses above EMA(10):
Enter long positions when price breaks above a key resistance level.
Higher volatility suggests strong price action and momentum.
When filtered ATR drops below EMA(10):
Exit positions or tighten stop-loss orders as volatility decreases.
Lower volatility may indicate consolidation or trend exhaustion.
2. Trend Following Strategy:
Use the filtered ATR line to track overall volatility.
If filtered ATR consistently stays above EMA: Hold positions or add to trades.
If filtered ATR remains below EMA: Reduce position size or stay out of trades.
3. Mean Reversion Strategy:
When filtered ATR spikes significantly above EMA, it may indicate market overreaction.
Look for price to revert to the mean once ATR returns below the EMA.
4. Stop-Loss Adjustment:
As volatility increases (ATR above EMA), widen stop-loss levels to avoid being stopped out by random fluctuations.
In low volatility (ATR below EMA), tighten stop-losses to minimize losses during low activity periods.
Benefits:
Reduced Noise: By filtering abnormal bars, the indicator provides cleaner signals.
Better Trend Detection: EMA smoothing highlights volatility trends.
Adaptable: The indicator can be customized for scalping, day trading, or swing trading.
Intuitive Visualization: Traders can visually see volatility shifts and adjust strategies in real-time.
Best Practices:
Timeframes: Works effectively on all timeframes, but higher timeframes (e.g., 1H, 4H, Daily) yield more reliable signals.
Markets: Suitable for forex, crypto, stocks, and commodities.
Combining Indicators: Use in combination with RSI, Moving Averages, Bollinger Bands, or price action analysis for stronger signals.
How It Works (Under the Hood):
The script calculates the Daily Range (High - Low) for each bar.
The largest and smallest bars are filtered out if their difference exceeds the multiplier (default 1.8).
The remaining bars are averaged to generate the filtered ATR.
An EMA(10) is then applied to the filtered ATR for smoother visualization.
ADX Range FilterThis indicator calculates the ADX with customizable smoothing and DI lengths. The ADX is plotted as an area chart that changes color based on a user-defined midline:
Orange Area: Strong trend (ADX above midline).
Blue Area: Weak trend or range (ADX below midline).
A white midline is also plotted for easy reference.
Key Features:
Adjustable ADX Smoothing, DI Length, and Midline.
Clear area chart visualization of ADX.
Dynamic color coding for quick trend assessment.
Uses for Traders:
Filter Trades: Avoid trend-following trades in ranging markets (ADX below midline) and focus on stronger trends (ADX above midline).
Confirm Trend Strength: Use ADX to confirm trend strength before entering trades, especially when combined with other indicators.
Adapt to Market Conditions: Adjust trading strategies based on the ADX reading (trend-following in strong trends, range-bound in weak trends).
Identify Actively Traded Assets: The default DI of 10 is better suited to identifying trends in actively traded assets.
Disclaimer:
The ADX Range Filter is a tool to aid in trading decisions, not a standalone solution. Combine it with other analysis methods, risk management, and a solid trading plan. Past performance does not guarantee future results.
