Multi-Scale Adaptive MAs (Hurst, CVaR, Fractal) // AlgoFyreThe Multi-Scale Adaptive MAs (Hurst, CVaR, Fractal) indicator adjusts moving averages based on market conditions, using Hurst Exponent for trend persistence, CVaR for extreme risk assessment, and Fractal Dimension for market complexity. It enhances trend detection and risk management across various timeframes.
TABLE OF CONTENTS
🔶 ORIGINALITY 🔸Adaptive Mechanisms
🔸Multi-Faceted Analysis
🔸Versatility Across Timeframes
🔸Multi-Scale Combination
🔶 FUNCTIONALITY 🔸Hurst Exponent (H)
🞘 How it works
🞘 How to calculate
🞘 Code extract
🔸Conditional Value at Risk (CVaR)
🞘 How it works
🞘 How to calculate
🞘 Code extract
🔸Fractal Dimension (FD)
🞘 How it works
🞘 How to calculate
🞘 Code extract
🔶 INSTRUCTIONS 🔸Step-by-Step Guidelines
🞘 Setting Up the Indicator
🞘 Understanding What to Look For on the Chart
🞘 Possible Entry Signals
🞘 Possible Take Profit Strategies
🞘 Possible Stop-Loss Levels
🞘 Additional Tips
🔸Customize settings
🔶 CONCLUSION
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🔶 ORIGINALITY The Multi-Scale Adaptive MAs (Hurst, CVaR, Fractal) indicator stands out due to its unique approach of dynamically adjusting moving averages based on advanced statistical measures, making it highly responsive to varying market conditions. Unlike traditional moving averages that rely on static periods, this indicator adapts in real-time using three distinct adaptive methods: Hurst Exponent, CVaR, and Fractal Dimension.
🔸Adaptive Mechanisms
Traditional MA indicators use fixed lengths, which can lead to lagging signals or over-sensitivity in volatile markets. The Multi-Scale Adaptive MAs employ adaptive methods to adjust the MA length dynamically, providing a more accurate reflection of current market conditions.
🔸Multi-Faceted Analysis
By integrating Hurst Exponent, CVaR, and Fractal Dimension, the indicator offers a comprehensive market analysis. It captures different aspects of market behavior, including trend persistence, risk of extreme movements, and complexity, which are often missed by standard MAs.
🔸Versatility Across Timeframes
The indicator’s ability to switch between different adaptive methods based on market conditions allows traders to analyze short-term, medium-term, and long-term trends with enhanced precision.
🔸Multi-Scale Combination
Utilizing multiple adaptive MAs in combination provides a more nuanced view of the market, allowing traders to see how short, medium, and long-term trends interact. This layered approach helps in identifying the strength and consistency of trends across different scales, offering more reliable signals and aiding in complex decision-making processes. When combined, these MAs can also signal key market shifts when they converge or diverge, offering deeper insights than a single MA could provide.
🔶 FUNCTIONALITY The indicator adjusts moving averages based on a variety of different choosable adaptives. The Hurst Exponent to identify trend persistence or mean reversion, adapting to market conditions for both short-term and long-term trends. Using CVaR, it evaluates the risk of extreme price movements, ensuring the moving average is more conservative during high-risk periods, protecting against potential large losses. By incorporating the Fractal Dimension, the indicator adapts to market complexity, adjusting to varying levels of price roughness and volatility, which allows it to respond more accurately to different market structures and patterns.
Let's dive into the details:
🔸Hurst Exponent (H)
Measures the degree of trend persistence or mean reversion.
By using the Hurst Exponent, the indicator adjusts to capture the strength and duration of trends, helping traders to stay in profitable trades longer and avoid false reversals in ranging markets.
It enhances the detection of trends, making it suitable for both short-term scalping and identifying long-term trends.
🞘 How it works Rescaled Range (R/S) Analysis Calculate the mean of the closing prices over a set window.
Determine the deviation of each price from the mean.
Compute the cumulative sum of these deviations over the window.
Calculate the range (R) of the cumulative deviations (maximum minus minimum).
Compute the standard deviation (S) of the price series over the window.
Obtain the R/S ratio as R/S.
Linear Regression for Hurst Exponent Calculate the logarithm of multiple window sizes and their corresponding R/S values.
Use linear regression to determine the slope of the line fitting the log(R/S) against log(window size).
The slope of this line is an estimate of the Hurst Exponent.
🞘 How to calculate Range (R)
Calculate the maximum cumulative deviation:
R=max(sum(deviation))−min(sum(deviation))
Where deviation is the difference between each price and the mean.
Standard Deviation (S)
Calculate the standard deviation of the price series:
S=sqrt((1/(n−1))∗sum((Xi−mean)2))
Rescaled Range (R/S)
Divide the range by the standard deviation:
R/S=R/S
Hurst Exponent
Perform linear regression to estimate the slope of:
log(R/S) versus log(windowsize)
The slope of this line is the Hurst Exponent.
🞘 Code extract // Hurst Exponent
calc_hurst(source_, adaptive_window_) =>
window_sizes = array.from(adaptive_window_/10, adaptive_window_/5, adaptive_window_/2, adaptive_window_)
float hurst_exp = 0.5
// Calculate Hurst Exponent proxy
rs_list = array.new_float()
log_length_list = array.new_float()
for i = 0 to array.size(window_sizes) - 1
len = array.get(window_sizes, i)
// Ensure we have enough data
if bar_index >= len * 2
mean = adaptive_sma(source_, len)
dev = source_ - mean
// Calculate cumulative deviations over the window
cum_dev = ta.cum(dev) - ta.cum(dev )
r = ta.highest(cum_dev, len) - ta.lowest(cum_dev, len)
s = ta.stdev(source_, len)
if s != 0
rs = r / s
array.push(rs_list, math.log(rs))
array.push(log_length_list, math.log(len))
// Linear regression to estimate Hurst Exponent
n = array.size(log_length_list)
if n > 1
mean_x = array.sum(log_length_list) / n
mean_y = array.sum(rs_list) / n
sum_num = 0.0
sum_den = 0.0
for i = 0 to n - 1
x = array.get(log_length_list, i)
y = array.get(rs_list, i)
sum_num += (x - mean_x) * (y - mean_y)
sum_den += (x - mean_x) * (x - mean_x)
hurst_exp := sum_den != 0 ? sum_num / sum_den : 0.5
else
hurst_exp := 0.5 // Default to 0.5 if not enough data
hurst_exp
🔸Conditional Value at Risk (CVaR)
Assesses the risk of extreme losses by focusing on tail risk.
This method adjusts the moving average to account for market conditions where extreme price movements are likely, providing a more conservative approach during periods of high risk.
Traders benefit by better managing risk and avoiding major losses during volatile market conditions.
🞘 How it works Calculate Returns Determine the returns as the percentage change between consecutive closing prices over a specified window.
Percentile Calculation Identify the percentile threshold (e.g., the 5th percentile) for the worst returns in the dataset.
Average of Extreme Losses Calculate the average of all returns that are less than or equal to this percentile, representing the CVaR.
🞘 How to calculate Return Calculation
Calculate the return as the percentage change between consecutive prices:
Return = (Pt − Pt−1) / Pt−1
Where Pt is the price at time t.
Percentile Threshold
Identify the return value at the specified percentile (e.g., 5th percentile):
PercentileValue=percentile(returns,percentile_threshold)
CVaR Calculation
Compute the average of all returns below the percentile threshold:
CVaR = (1/n)∗sum(Return) for all Return≤PercentileValue
Where n is the total number of returns.
🞘 Code extract // Percentile
calc_percentile(data, percentile, window) =>
arr = array.new_float(0)
for i = 0 to window - 1
array.push(arr, data )
array.sort(arr)
index = math.floor(percentile / 100 * (window - 1))
array.get(arr, index)
// Conditional Value at Risk
calc_cvar(percentile_value, returns, window) =>
// Collect returns worse than the threshold
cvar_sum = 0.0
cvar_count = 0
for i = 0 to window - 1
ret = returns
if ret <= percentile_value
cvar_sum += ret
cvar_count += 1
// Calculate CVaR
cvar = cvar_count > 0 ? cvar_sum / cvar_count : 0.0
cvar
🔸Fractal Dimension (FD)
Evaluates market complexity and roughness by analyzing how price movements behave across different scales.
It enables the moving average to adapt based on the level of market noise or structure, allowing for smoother MAs during complex, volatile periods and more sensitive MAs during clear trends.
This adaptability is crucial for traders dealing with varying market states, improving the indicator's responsiveness to price changes.
🞘 How it works Total Distance (L) Calculation Sum the absolute price movements between consecutive periods over a given window.
Maximum Distance (D) Calculation Calculate the maximum displacement from the first to the last price point within the window.
Calculate Fractal Dimension Use Katz's method to estimate the Fractal Dimension as the ratio of the logarithms of L and D, divided by the logarithm of the number of steps (N).
🞘 How to calculate Total Distance (L)
Sum the absolute price changes over the window:
L=sum(abs(Pt−Pt−1)) for t from 2 to n
Where Pt is the price at time t.
Maximum Distance (D)
Find the maximum absolute displacement from the first to the last price in the window:
D=max(abs(Pn-P1))
Fractal Dimension Calculation
Use Katz's method to estimate fractal dimension:
FD=log(L/D)/log(N)
Where N is the number of steps in the window.
🞘 Code extract // Fractal Dimension
calc_fractal(source_, adaptive_window_) =>
// Calculate the total distance (L) traveled by the price
L = 0.0
for i = 1 to adaptive_window_
L += math.abs(source_ - source_ )
// Calculate the maximum distance between first and last price
D = math.max(math.abs(source_ - source_ ), 1e-10) // Avoid division by zero
// Calculate the number of steps (N)
N = adaptive_window_
// Estimate the Fractal Dimension using Katz's formula
math.log(L / D) / math.log(N)
🔶 INSTRUCTIONS The Multi-Scale Adaptive MAs indicator can be set up by adding it to your TradingView chart and configuring the adaptive method (Hurst, CVaR, or Fractal) to match current market conditions. Look for price crossovers and changes in the slope for potential entry signals. Set take profit and stop-loss levels based on dynamic changes in the moving average, and consider combining it with other indicators for confirmation. Adjust settings and use adaptive strategies for enhanced trend detection and risk management.
🔸Step-by-Step Guidelines 🞘 Setting Up the Indicator Adding the Indicator to the Chart: Go to your TradingView chart.
Click on the "Indicators" button at the top.
Search for "Multi-Scale Adaptive MAs (Hurst, CVaR, Fractal)" in the indicators list.
Click on the indicator to add it to your chart.
Configuring the Indicator: Open the indicator settings by clicking on the gear icon next to its name on the chart.
Adaptive Method: Choose between "Hurst," "CVaR," and "Fractal" depending on the market condition and your trading style.
Length: Set the base length for the moving average (e.g., 20, 50, or 100). This length will be adjusted dynamically based on the selected adaptive method.
Other Parameters: Adjust any other parameters as needed, such as window sizes or scaling factors specific to each adaptive method.
Chart Setup: Ensure you have an appropriate timeframe selected (e.g., 1-hour, 4-hour, daily) based on your trading strategy.
Consider using additional indicators like volume or RSI to confirm signals.
🞘 Understanding What to Look For on the Chart Indicator Behavior: Observe how the adaptive moving average (AMA) behaves compared to standard moving averages, e.g. notice how it might change direction with strength (Hurst).
For example, the AMA may become smoother during high market volatility (CVaR) or more responsive during strong trends (Hurst).
Crossovers: Look for crossovers between the price and the adaptive moving average.
A bullish crossover occurs when the price crosses above the AMA, suggesting a potential uptrend.
A bearish crossover occurs when the price crosses below the AMA, indicating a possible downtrend.
Slope and Direction: Pay attention to the slope of the AMA. A rising slope suggests a bullish trend, while a declining slope indicates a bearish trend.
The slope’s steepness can give you clues about the trend's strength.
🞘 Possible Entry Signals Bullish Entry: Crossover Entry: Enter a long position when the price crosses above the AMA and the AMA has a positive slope.
Confirmation Entry: Combine the crossover with other indicators like RSI (above 50) or increasing volume for confirmation.
Bearish Entry: Crossover Entry: Enter a short position when the price crosses below the AMA and the AMA has a negative slope.
Confirmation Entry: Use additional indicators like RSI (below 50) or decreasing volume to confirm the bearish trend.
Adaptive Method Confirmation: Hurst: Enter when the AMA indicates a strong trend (steeper slope). Suitable for trend-following strategies.
CVaR: Be cautious during high-risk periods. Enter only if confirmed by other indicators, as the AMA may become more conservative.
Fractal: Ideal for capturing reversals in complex markets. Look for crossovers in volatile markets.
🞘 Possible Take Profit Strategies Static Take Profit Levels: Set take profit levels based on predefined ratios (e.g., 1:2 or 1:3 risk-reward ratio).
Place take profit orders at recent swing highs (for long positions) or swing lows (for short positions).
Trailing Stop Loss: Use a trailing stop based on a percentage of the AMA value to lock in profits as the trend progresses.
Adjust the trailing stop dynamically to follow the AMA, allowing profits to run while protecting gains.
Adaptive Method Based Exits: Hurst: Exit when the AMA begins to flatten or turn in the opposite direction, signaling a potential trend reversal.
CVaR: Consider taking profits earlier during high-risk periods when the AMA suggests caution.
Fractal: Use the AMA to exit in complex markets when it smooths out, indicating reduced volatility.
🞘 Possible Stop-Loss Levels Initial Stop Loss: Place an initial stop loss below the AMA (for long positions) or above the AMA (for short positions) to protect against adverse movements.
Use a buffer (e.g., ATR value) to avoid being stopped out by normal price fluctuations.
Adaptive Stop Loss: Adjust the stop loss dynamically based on the AMA. Move the stop loss along the AMA as the trend progresses to minimize risk.
This helps in adapting to changing market conditions and avoiding premature exits.
Adaptive Method-Specific Stop Loss: Hurst: Use wider stops during trending markets to allow for minor pullbacks.
CVaR: Adjust stops in high-risk periods to avoid being stopped out prematurely during price fluctuations.
Fractal: Place stops at recent support/resistance levels in highly volatile markets.
🞘 Additional Tips Combine with Other Indicators: Enhance your strategy by combining the AMA with other technical indicators like MACD, RSI, or Bollinger Bands for better signal confirmation.
Backtesting and Practice: Backtest the indicator on historical data to understand how it performs in different market conditions.
Practice using the indicator on a demo account before applying it to live trading.
Market Awareness: Always be aware of market conditions and fundamental events that might impact price movements, as the AMA reacts to price action and may not account for sudden news-driven events.
🔸Customize settings 🞘 Time Override: Enables or disables the ability to override the default time frame for the moving averages. When enabled, you can specify a custom time frame for the calculations.
🞘 Time: Specifies the custom time frame to use when the Time Override setting is enabled.
🞘 Enable MA: Enables or disables the moving average. When disabled, MA will not be displayed on the chart.
🞘 Show Smoothing Line: Enables or disables the display of a smoothing line for the moving average. The smoothing line helps to reduce noise and provide a clearer trend.
🞘 Show as Horizontal Line: Displays the moving average as a horizontal line instead of a dynamic line that follows the price.
🞘 Source: Specifies the data source for the moving average calculation (e.g., close, open, high, low).
🞘 Length: Sets the period length for the moving average. A longer length will result in a smoother moving average, while a shorter length will make it more responsive to price changes.
🞘 Time: Specifies a custom time frame for the moving average, overriding the default time frame if Time Override is enabled.
🞘 Method: Selects the calculation method for the moving average (e.g., SMA, EMA, SMMA, WMA, VWMA).
🞘 Offset: Shifts the moving average forward or backward by the specified number of bars.
🞘 Color: Sets the color for the moving average line.
🞘 Adaptive Method: Selects the adaptive method to dynamically adjust the moving average based on market conditions (e.g., Hurst, CVaR, Fractal).
🞘 Window Size: Sets the window size for the adaptive method, determining how much historical data is used for the calculation.
🞘 CVaR Scaling Factor: Adjusts the influence of CVaR on the moving average length, controlling how much the length changes based on calculated risk.
🞘 CVaR Risk: Specifies the percentile cutoff for the worst-case returns used in the CVaR calculation to assess extreme losses.
🞘 Smoothing Method: Selects the method for smoothing the moving average (e.g., SMA, EMA, SMMA, WMA, VWMA).
🞘 Smoothing Length: Sets the period length for smoothing the moving average.
🞘 Fill Color to Smoothing Moving Average: Enables or disables the color fill between the moving average and its smoothing line.
🞘 Transparency: Sets the transparency level for the color fill between the moving average and its smoothing line.
🞘 Show Label: Enables or disables the display of a label for the moving average on the chart.
🞘 Show Label for Smoothing: Enables or disables the display of a label for the smoothing line of the moving average on the chart.
🔶 CONCLUSION The Multi-Scale Adaptive MAs indicator offers a sophisticated approach to trend analysis and risk management by dynamically adjusting moving averages based on Hurst Exponent, CVaR, and Fractal Dimension. This adaptability allows traders to respond more effectively to varying market conditions, capturing trends and managing risks with greater precision. By incorporating advanced statistical measures, the indicator goes beyond traditional moving averages, providing a nuanced and versatile tool for both short-term and long-term trading strategies. Its unique ability to reflect market complexity and extreme risks makes it an invaluable asset for traders seeking a deeper understanding of market dynamics.
Movingaveragepriceaction
Selective Moving Average: DemoThis indicator produces a conditional moving average based off of your chosen inputs. For example, you can create an EMA that only takes into account closing prices when the 14 period RSI is greater than 50, or a VWMA that tracks hl2 values when the hl2 value is within one standard deviation from the mean. The possibilities are highly configurable to your liking. Please comment below additional conditions you might like me to add to the moving average and I will try my best to get to your feedback.
The following parameters are configurable:
--> Source: This is the source of the moving average that you want to create. You can use external sources if you have another indicator on your chart.
--> Condition: This is the condition that you want to take into account when the moving average is calculating itself. For instance, I have the following conditions pre-built (more to come): Source within 1 standard deviation of the mean (of the source), Source within 2 standard deviations of the mean (of the source), Positive volume, Negative volume, RSI greater than 50, RSI less than 50, Candlestick length greater than body.
--> Length: The length of the selective moving average. For conditions that occur infrequently, a larger length may be necessary to improve accuracy.
--> Average type: The type of moving average (SMA, EMA, RMA, etc.) that you wish to create
--> Condition length: An optional parameter if you are using a condition that depends on a length itself, i.e. the RSI - here you can change the RSI length. The RSI source will be the moving average source, but future updates may separate the two.
Moving Average Reversals [QuantVue]Moving Average Reversals
Description:
The Moving Average Reversals indicator gives a quick visual representation of when a stock gets extended up or down from a user selected moving average.
The color of the histogram dynamically changes as price becomes extended or within it’s normal trading range.
The indicator also highlights the largest extensions over the past year or 252 bars if using intraday.
Lastly a simple moving average of the extensions is calculated and used to confirm a change of character.
Settings:
🔹Use different MA types - EMA, SMA, HMA, WMA, VWMA
🔹Adjustable MA length
🔹Change distance measurement source - open, close, high, low, hl2, hlc3, ohlc4, hlcc4
🔹Extension highlighting
🔹Toggle MA extensions
Don't hesitate to reach out with any questions or concerns. We hope you enjoy!
Cheers.
FBMAEN:
TradingView indicator for FBMA strategy
People oftem ask: “Dmitry, BABA, TSLA, AAPL flies like a rocket! Well, what are we buying!?” - And I say no, the price does not act like a straight rocket upwards or downwards, instead it breathes, inhales moving away from the moving average and exhales returning to it, so we will wait for the first pullback and buy exactly at the value of the moving average.
Your new paradigm: wait for the stock to pull back to the moving average rather than chasing the price
And one more thing... Remember, you don't want to buy a stock when it's going down, you'll start to have doubts. it's against human nature to go long when the price is falling, but that's why this strategy works so well. We buy on the price rollback (pullback to the moving average), but we DO IT WHILE FOLLOWING THE TREND.
The biggest consequence of this strategy, my author's FBMA strategy and this is a game changer (results are in the comments).
So, let's dive into FBMA indicator settings:
Main settings
ATR Period — Period of intergrated ATR Indicator(shows ATR in a small dashboard);
Settings of Moving Averages
Sign Moving Averages? — shows values of moving averages near their lines on the chart;
Fix MAs' signatures overlapping? — automatically MAs' signatures overlapping (specifically for SMAs and EMAs!) ;
Fix MAs' signatures overlapping between SMAs and EMAs? — automatically group overlapping between EMAs' and SMAs' signatures;
Min distance between MAs' signatures (in % of ATR) — minimal distance between MAs' signatures that indicator will push away MAs' signatures from each other if they are overlapped;
Dashboard
Dashboard position — position of dashboard on the chart ( 9 options ).
Settings of MAs
Source;
Period;
Option for showing EMA and/or SMA of chosen period and source;
Line colour ;
Signature colour .
Addons
Show data by selected timeframe? — shows difference of current price opening and opening a "timeframe" time ago;
Shows MAs only if asset has grown by selected growth % in selected timeframe?
Growth, % — percent, which asset has to gain in order for MAs to be plotted;
Timeframe — frequency with which price's current and previous opening are being will be compared;
Show analog MAs' signatures? — shows MAs' value in a small table;
Show cloud between 1st and 2nd MAs? — shows cloud for both EMAs and SMAs simultaneously).
Price Action
This settings are intuitively understandable
Feel free to leave your questions or suggestions in the comments!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt.
RU:
Индикатор TradingView для стратегии ПООС
Мне часто пишут в личку: “Дмитрий, BABA, TSLA , AAPL летит ракетой! Ну что покупаем!?”- А я говорю нет, цена не летит по прямой ракетой вверх, она дышит, делает вдохи отдаляясь от скользящей и выдохи возвращаясь к ней, поэтому мы дождёмся первого пуллбэка и купим точно на значении скользящей
Ваша новая парадигма: ждать акцию на пуллбэке к скользящей по тренду, а не гнаться за ценой
И ещё… Помните, вы не захотите покупать акцию в момент, когда она падает, вы начнете сомневаться т.к. это против человеческой природы заходить в лонг при падении цены, но именно поэтому эта стратегия работает так эффективно, т.к. мы покупаем на откате цены (пуллбэке к скользящей), но ПО ТРЕНДУ
Самое большее следствие из этой стратегии, моя авторская стратегия ПООС и это гейм-чейнджер (результаты в комментариях).
Итак, давайте посмотрим сами настройки индикатора:
Основные настройки
ATR Period — период интегрированного индикатора ATR (показывает ATR на небольшой панели);
Настройки скользящих средних
Sign Moving Averages? — показывает значения скользящих средних рядом с их линиями на графике;
Исправить перекрытие сигнатур МА? — автоматически сигнатуры СС перекрываются (специально для SMA и EMA!) ;
Исправить перекрытие сигнатур МА между SMA и EMA? — автоматически группировать перекрытие между сигнатурами EMA и SMA;
Минимальное расстояние между сигнатурами скользящих средних (в % от ATR) — минимальное расстояние между сигнатурами скользящих средних, при котором индикатор будет отталкивать сигнатуры скользящих средних друг от друга, если они перекрываются;
Панель управления
Dashboard position — положение таблицы на графике ( 9 вариантов ).
Настройки МА
Source;
Период;
Опция отображения EMA и/или SMA выбранного периода и source;
Цвет линии ;
Цвет подписи .
Дополнения
Показать данные по выбранному таймфрейму? — показывает разницу текущей цены открытия и цены открытия в прошлом, по времени равному величины параметра "Таймфрейм";
Показывает MA только в том случае, если актив вырос на выбранный % роста за выбранный период времени?
Прирост, % — процент, на который актив должен набраться, чтобы скользящие средние были построены;
Таймфрейм — частота, с которой будет сравниваться текущее и предыдущее открытие цены;
Показать сигнатуры аналоговых МА? — показывает значение МА в небольшой таблице;
Показать облако между 1-й и 2-й скользящими средними? — показывает облако для EMA и SMA одновременно).
Price Action
Эти настройки будут интуитивно понятны
Оставляете свои вопросы и предложения в комментариях, всё учтём!
* Price Action-section was taken from ChrisMoody's CM_Price_Action and rebuilt.
Probability Weighted Moving AverageThe Probability Weighted Moving Average uses a log-normal (continuous) distribution to calculate the probabilities of a range of lengths MAs to assess their performances, and respectively assign weights to a mean of this range. This assumes that the values of the MAs (call it A) aren't normally distributed, but instead log(A) is normally distributed, which can be a fair assumption. In P(t, t+X) where X is the number of trades assessed, it assumes the probability is not dependent on t and independent of previous price.
For P(t, t+X), the higher the value of X, the more trades are assessed.
Range of lengths comes in slow (default) or fast. Faster MAs are not preferable and should be limited to HTFs.
The color code can be either weighted (where lighter shades of blue suggests faster values have more weight, and darker shades suggest slower values have more weight) or coded for bull/bear: green when bullish, red when bearish.
Volume and Trend reversal scalping scriptThe Vtrend X script allows for both trend based and scalping trading entries, it gives you all the trend and reversal information at hand that is necessary. It works best in a trending market.
The fundamental part of the script, is the volume weighted bands in blue and red, which help determine the trend and dynamic support and resistance . The blue band is a shorter length than the red band.
When the blue band dips below the red band, this tells us there is a downtrend. And when the blue band is trending above the red band, this is bullish uptrend price action. You will be able to note price whatever the timeframe really respects these bands, and you can use that to your advantage flicking through the high and low timeframes on where price will go next, combined with your own support and resistance levels.
Combined with the candle colors, which change whether they close above or below the main trend colored line (shown below), help identify a change in price action and trend. This allows for low timeframe plays also.
The uptrend and downtrend cicle signals are shown in a few different colors. Green and red are with the trend and have met all conditions. Orange and purple are against the trend calculations, and Olive circles risky trades against all the filters used to calculate signals.
The reversal signals, are the diamond plots in black, These also represent take profit areas as well.
Another key feature is the Daily / Weekly / Monthly and Yearly open levels displayed as colored dots. A lot of the plays i take use the Daily opens as key levels to take a trade off.
The indicator is designed to give you key information, but be quite customisable as well to suit your exact trading style.
Recommended timeframes i use for this script; Weekly (for key liquidity areas), Trading on the Daily, 6h, 4h, 2h, 1h and 25 minutes.
Backtested Settings and Pairs;
Pair - Timeframe - Signals Inputs - Reversal Inputs - ATR Multiplier - MA Filter
BTCUSD - 1 hr - 3 - 2.8 - 5.5 - NA
ETHUSD - 1 hr - 4 - 2.8 - 5.5 - NA
USDCAD - 1 hr - 4 - 2.8 - 5.5 - NA
GBPUSD - 1 hr - 4 - 2.8 - 5.5 - NA
US30 - 1 hr - 4 - 2.8 - 5.5 - NA
BTCUSD - 4 hr - 2.5 - 2.5 - 3.5 - NA
BTCUSD - 25 mins - 5 - 2.5 - 5.5 - NA
Stock Tech Bot One ViewTechnical indicators are not limited. Hence, here is another indicator with the combination of OBV, RSI, and MACD along with support, and resistance that follows the price while honoring the moving average of 200, 90 & 50.
The default lookback period of this indicator is 21 though it is changeable as per the user's desire.
The highest high and lowest low for the last 21 days lookback period proven to be the perfect Support & Resistance as the price of particular stock values are decided by market psychology. The support and resistance lines are very important to understand the market psychology which is very well proven with price action patterns and the lines are drawn based on,
Lower Extreme = 0.1 (Changeable)
Maximum Range = 21 days highest high - 21 days lowest low.
Support Line = 21 days lowest low + (Maximum Range * Lower Extreme)
Resistance Line = 21 days highest high - (Maximum Range * Lower Extreme)
RSI - Relative strength indicator is very famous to find the market momentum within the range of 0 - 100. Though the lookback period is changeable, the 14 days lookback period is the perfect match as the momentum of market movement for the last 3 weeks will always assist to identify the market regime. Here the momentum is just to highlight the indication (green up arrow under the candle for long and red down arrow above the candle for short) of market movement though it is not very important to consider if the price of the stock respect the support & resistance lines along with volume indicator (* = violet color).
OBV - Momentum:
The on-balance volume is always going indicator on any kind of tickers, which helps to identify the buying interest. Now, applying momentum on OBV with the positive movement for at least two consecutive days gives perfect confirmation for entry. A combination of the price along with this momentum(OBV) in the chart will help us to know the whipsaw in the price.
The Symbol "*" on top of each bar shows the market interest in that particular stock. If your ticker is fundamentally strong then you can see this "*" even when the market falls.
MACD:
One of the favorites and simple indicators widely used, where the thump of the rule is not to change the length even if it is allowed. It's OK to believe blindly in certain indicator and consider it while trading. That's why the indicator changes the bar color by following the MACD histogram.
Volume:
It may be the OBV works based on the open price and close price along with volume movement, it is wise to have the volume that is plotted along with price movement that should help you to decide whether the market is greedy or fearful.
The symbol "-" on top of each bar tells you a lot and don't ignore it.
Moving Average:
Moving average is a very good trend indicator as everyone considers seeing along with the price in the chart which is not omitted while we gauge the price movement alone with volume in this indicator. The 200, 90 & 50 MA's are everyone's favorite, and the same is plotted on the chart.
As explained above, the combination of all four indicators with price movement will give us very good confidence to take entry.
Candlestick Pattern:
You should admire the techniques of the candlestick pattern as you navigate the chart from right to left. Though there are a lot of patterns that exist, it is easy to enable and disable to view the signal as the label.
Further, last but not least, the exit always depends on individual conviction and how often the individual watch the price movement, if your conviction is strong then follow the down arrow red indication. If not, then exit with a trailing stop that indicates the bar with orange color.
Happy investing
Note: It is just a combination of multiple indicators and patterns to get one holistic view. So, the credit goes to all wise developers who publically published.
Moving Average Converging [LuxAlgo]This indicator returns a moving average converging toward the price the more a trend makes new higher-highs or lower-lows depending on the detected trend.
Settings
Length: Controls the initial moving average smoothing factor ( 2 / (Length + 1) ), as well as the period of rolling maximums/minimums.
Increment: Smoothing factor increment ( 2 / (Increment+ 1) ) for new higher-high/lower-low, lower values would return a faster converging moving average.
Fast: Fast moving average smoothing factor.
Usage
The proposed moving average can be used like most slow moving averages.
Having a moving average able to converge closer to the price the longer a trend lasts allows users to obtain more timely crosses. This practice can remind us of the Parabolic SAR or our TRAMA indicator:
Notice on the chart above how the moving average converges at an increasing rate with the occurrence of new high-highs/lower-lows.
EMA Mountains Use this to track the daily moving avg's on the 15m chart.
by default it is set to be used on ext hours.
God Number Channel v2(GNC v2)GNC got a little update:
1) Logic changed a bit.
I tried to calculate MAs based on the power(high - low of previous bars).You can see it the M-variables, as new statements were added in calculation section of MAs. I don't really know if I did right, because I didn't go too much in Pine Script. I just wanted to make a Bollinger-bands-like bands, which could predict the levels at which might reverse, using legendary fibonacci and Tesla's harmonic number 432. It's might sound as a joke, but as you can see, it works pretty good.
2) Customization :
No need to change Fibonacci ratios in code. Now you can do it in the GNC settings. Also MAs' names were made obvious, just check it out. Time of million similar "MA n1" has passed :)
3) Trade-entry advices :
I didn't tell you exactly the trade-entry advices, as I haven't explored this script fully yet :) But you probably understood something intuitively, when added GNC on the chart. Now I made things way more obvious:
1. Zones between Fib ratios show you how aware you should be of price movements. Basically, here are the rules, but you probably understand them already:
1.1 Red zone(RZ) : high awareness, very likly for price to be reversed, but if there is a clear trend and you know, than it might be a time for price to shoot up/down.
1.2 Orange zone(OZ) : medium awareness, not so obvious, as price might go between boundaries of OZ and continue the trend movement if such followed before entering the OZ. If price go below lower boundary of OZ and the next bar opens below this boundary, it might be a signal for SHORY, BUT(!) please consider confirmation of any sort to be more sure. Think of going beyond the upper boundary by analogy.
1.3 Green Zone(GZ) : if the price hits any boundary of green zone, it is usually a good oppurtunity to open a position against the movement(hit lower boundary -> open LONG, hit upper boundary -> open SHORT).
1.4 Middle Zone(Harmonic Zone)(MZ) : same rules from Green Zone.
IMPORTANT RECCOMENDATION : Use trend indicator to trend all signals from zones to follow the trend, 'cause counter-trending with this thing without stop loss might very quickly wipe you out , might if you will counter-trend strategy with GNC, I will be glad if you share it with the community :)
Reccomendation for better entries :
1) if the price hits the lower(or high) boundaries(LB or HB) zone after zone(hit LB or HB of RZ, then of OZ, then of GZ), it is a very good signal to either LONG, if price was hitting LBs , or SHORT, if hitting HBs .
2) Consider NOT to place trades when in MZ, as price in this zone gets tricky often enough. By the way, if you dont the see the harmonic MAs(which go with plot(ma1+(0.432*avg1)) ), then set the transparency of zone to 20% or a bit more and then it will be ok.
I will continue to develop the GNC and any help or feedback from you, guys, will be very helpful for me, so you welcome for any of those, but please be precise in your critics.
Thank you for using my stuff, hope you found it usefull. Good luck :)
2 MA Ratio Can Help with Moving AveragesMany technical analysts use moving average crosses to assess trend changes. A faster-moving MA crossing above a slower-moving line may be viewed as a bullish signal. The opposite can apply to the downside.
While these methods may help analyze price direction, they can often force traders to wait until the cross occurs. Sometimes it may be useful to anticipate the event – or at least know it’s getting close.
That’s where the custom script 2 MA Ratio can be useful because it tracks the fast and slow moving averages. The fast MA is then shown as a percent of the slow MA. Positive readings indicate a bullish condition and vice versa for the negative.
It’s also color-coded to clearly illustrate when the crosses occur.
2 MA Ratio can handle simple moving averages (SMAs) and exponential moving averages (EMAs). It even lets you compare SMAs to EMAs. Users can choose between using open, high, low or closing prices as the inputs. (It defaults to Close.)
The chart above shows the short-term pair of the 8- and 21-day EMAs on Tesla (TSLA). The second chart below shows the same stock with the slower 50- and 200-day SMAs. Notice the “Golden Cross” last summer and the “Death Cross” in May:
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((Bullish)) Candle below EMA Hello People of the Trading World...
Todays script is a basic concept of using Moving Averages and Candle Closes - this works best on Higher Timeframes and only in Bullish Conditions
"When the market is trending to the upside - we tend to see price overextend from the moving average and price revert back to the mean (Mean Reversion)"
You may ask why would you want this candle - this presents good opportunities in a trending market (NOT AN ENTRY CANDLE). This can be useful to get into existing trends which you may have missed
This candle will display when the candle close is below one of the below EMAS
9EMA
50EMA
100EMA
You can choose which one to show ie if the 21ema wasnt important but the 100ema was... turn off the 21ema and 50ema and this will display candle below the 100ema
This candle can be alerted in the settings so if price does close you wont miss it.
EXMAPLES:
If you find this script useful please leave a comment and a thumbs up :)
MACD Multi Time Frame with Histogram MAThis is a modification of LonesomeTheBlue's MACD Multi Time Frame indicator to include also moving averages applied to histogram to filter-out important moves.
You can select average period and multiplier to highlight the type of movements that interest you most.
Happy trading!
Moving Average Band Width ((((20/04/2022))))Todays Script uses 5 Moving Averages with the new function on V5 called fill, we can now colour fill between moving averages.
9ema
20ema
50ema
100ema
200ema
100-200ema which is labelled in Redis where the big impulse moves will fall into if the pressure is so strong on the opposite of the trend.
50-100ema which is labelled in Blue is where price could be heading in a healthy trend
20-50ema which is labelled in Purple, price will enter this area when price is in a strong impulse move/trend
9-20ema which is labelled in Green is a super strong trend/ impulse move, price will most likely break this stream and enter the 20-50ema
(the colour of EMAS can be changed in the settings)
I would use this to either gauge the strength of a trend//impulse leg or buy/sell opportunities.
This works best in trending environments, LTF and liquid markets
world stage index ver02This is an indicator that expresses the ratio of "stage1" and "stage4" of world index.
40 symbols are as follows
("TVC:SHCOMP" is revised to "SSE:000001")
(JAPAN, US, EUROPE, and CANADA)
OSE:NK2251!, DJ:DJI , NASDAQ:IXIC, SP:SPX , XETR:DAX, TVC:CAC40 , TVC:UKX, TSX:TSX
(ASIA)
SSE:000001, SZSE:399001, TVC:HSI, TWSE:TAIEX, BSE:SENSEX , OANDA:SG30SGD, INDEX:KSI, SET:SET
(EUROPE)
INDEX:SX5E, INDEX:FTSEMIB, SIX:SMI , BME:IBC, EURONEXT:BEL20, TVC:AEX, OMXCOP:OMXC25, XETR:0Q5X
(Pacific Ocean)
ASX:XJO, TVC:NZ50G, IDX:COMPOSITE, FTSEMYX:FBMKLCI, BMFBOVESPA:IBOV, BMV:ME , BVL:SPBLPGPT, BYMA:IMV
(Eastern Europe & Middle East)
MOEX:IMOEX, GPW:WIG20, OMXHEX:OMXH25, OMXSTO:OMXS30, DFM:DFMGI, TADAWUL:TASI, OSE:GNRI, EGX:EGX30
The criteria are as follows:
EMA5≧EMA20≧EMA40 : Stage1
EMA5≦EMA20≦EMA40 : Stage4
A.The sum of Stage1 was multiplied by 2.5 and drawn on a scale of 0 to 100, with yellow area
B.The Sum of Stage4 was multiplied by 2.5 and drawn on a scale of 0 to 100, with blue area.
C. The ratio of A/B was multiplied by 2.5 and drawn on a scale of 0 to 100, with red lines.
This idea is from Kojirou Kousi.
40 symbols of this script are partially different from Kojiro kousi's idea.
But he said the difference isn't matter.
tradingview社の上海総合指数の銘柄コード変更に合わせて、"TVC:SHCOMP" を "SSE:000001"に改訂しました。
「小次郎講師指数」に着想を得た、世界40カ国の株価指数stage状態です。
参考文献は、小次郎講師著書「世界一わかりやすい投資の勝ち方」です。
小次郎講師とは一部異なるシンボルを採用していますが、
多少の違いは余り大した問題では無いと御本人から教わった事があります。
先進国に関してはおそらくほとんど同じだと思います。
stage1の合計の%を黄色、stage4の合計の%を青色、stage1の合計/stage4の合計の%を赤で表示しています。
雰囲気で分かればいいので、正確な数字までは表示しませんでした。
個人的には現状分析以外にも、プラクティス時に世界情勢を把握するのに重宝しています。
Responsive Magnetic Moving Average - BreatEasyTraders,
It's pretty difficult to judge which moving average is holding the price at present (Holding = Prices Respecting the moving average). some times prices respects 20 MA, 50MA or some other MA or EMA or HMA. Its dynamic in nature and changes based on the script we apply and the timeframe we use.
Having all these different types of moving averages added on to chart may sometime create a clutter. Hence I came up with an idea to summarize into one value which price is respecting.
Important options provided to help adjusting the strength value.
1. No Of Candles = set the number of candles to analyze for the strength. Note: setting the value too less will improve the performance but accuracy is depleted. setting the value to too high may improve accuracy but performance may be depleted.
Performance = calculation time.
2. Close By% = in order to check whether price is respecting the trendline set the % of ATR. This means that when prices are close to any of the moving averages then it checks for the strength of the moving average.
Plz do suggest for any feedback for improvements.
Regards
Price Outpaces Moving AverageWith inputs for the moving average, Bullish overshoot percentage, and bearish overshoot percentage, this indicator is attempting to show market tops based on the difference between the current price of an asset and how far away it is from its moving average.
If you have the bullish overshoot percentage set to 1.5:
let's say price is currently at 20,000 and the moving average is around 6500.
The script calculates 20,000/6500 = 3.07
Then, there is a boolean comparison asking if 3.07 > 1.5.
Since it is, the script will create a "SHORT" flag above that candlestick.
A similar process happens for the "LONG" flags.
Multi MA MTF SandBox StrategyA moving averages SandBox strategy where you can experiment using two different moving averages (like KAMA, ALMA, HMA, JMA, VAMA and more) on different time frames to generate BUY and SELL signals, when they cross.
Great sandbox for experimenting with different moving averages and different time frames.
== How to use ==
We select two types of moving averages on two different time frames (or the same time frame):
First is the FAST moving average that should be at the same time frame or higher.
Second is the SLOW moving average that should be on the same time frame or higher.
== Buy and Sell Signals ==
When FAST moving average cross over the SLOW moving average we have a BUY signal (for LONG)
When FAST moving average cross under the SLOW moving average we have a SELL signal (for SHORT)
WARNING: Using a lower time frame than your chart time frame will result in unrealistic results in your backtesting and bar replay.
== NOTES ==
You can select BOTH, LONG, SHORT or NONE in the strategy settings.
You can also enable Stop Loss and Take Profit.
More sandboxes to come, Follow to get notified.
Like if you like and Enjoy!
Can also act as indicator by setting 'What trades should be taken' to 'NONE':
Open Close Cross Strategy NoRepaint Version by JustUncleLThis is a Non Repaint version of my ever popular "Open Close Cross Strategy R5 revised by JustUncleL". After many comments/PMs on repainting issues of the original script, I decided to create this Non Repaint version for those that require non-repainting signals. Backtesting performance will not be as good as the repaint version, but some script maybe still useful as there are many options that can be adjusted.
(JS) Ultimate Multi Time Frame Moving AveragesSick of having to pull up tons of charts to check the moving averages on various time frames? Me too, so I decided to make the "Ultimate Multi Time Frame Moving Averages" overlay.
So what's it do? Simple. It allows you to plot moving averages from other time frames on your current chart. There's a bunch of built in MA's, and I also added space for two custom SMAs and three custom EMAs.
The custom moving averages can be set to any length or time frame that you desire.
The ones that come built in include:
5 Day SMA
10 Day SMA
20 Day SMA
50 Day SMA
100 Day SMA
200 Day SMA
5 Week SMA
10 Week SMA
20 Week SMA
50 Week SMA
100 Week SMA
200 Week SMA
Now you can simply check or un-check any of the following to see where these MAs fall on your current chart, no more flipping back and forth! Enjoy!
InItForTheGame Moving AveragesThis indicator was made to allow four moving averages to be displayed without needing to use up 3 charting indicators individually
TheWolfOfBinance - Moving Averages - V2This indicator was made to allow four moving averages to be displayed without needing to use up 3 charting indicators individually
4 moving averages
231 (white) shows the trend
77 (red) crosses above 231 (white) buy signal - longterm
7 (green) crosses above 77 (red) buy signal - quick money
7 (green) crosses below 21 (yellow) sell signal - quick money gone
7 (green) crosses below 77 (red) sell signal - quick money gone
