Cumulative Volume Delta Divergence [TradingFinder] Periodic EMA🔵 Introduction
The Cumulative Volume Delta (CVD) is a powerful tool in technical analysis that is derived from market volume or trading activity. The Cumulative Volume Delta Divergence Detector Indicator helps traders identify Cumulative Volume Delta Divergences (CVD Divergence), which can provide reliable trading signals.
These divergences, such as bullish and bearish CVD divergences, act as key indicators of potential trend reversals in financial markets. By analyzing CVD divergences, traders can gain insights into the strength of buying and selling pressure and make more informed predictions about price trends.
The CVD indicator is particularly effective for traders who engage in day trading and scalping, as it helps identify price reversal points by analyzing volume and price behavior.
Using the CVD indicator in combination with other technical tools such as support and resistance levels and candlestick patterns allows for a more accurate market analysis.
🔵 How to Use
Divergences are one of the most important technical analysis signals that indicate the current strength of a price move may not be sustainable.
Cumulative Volume Delta Divergence helps traders identify potential trading opportunities that may not be visible on the price chart alone.
This type of divergence examines the relationship between buying and selling volume and price, enabling traders to better understand price trends.
🟣 Bullish CVD Divergence
A bullish CVD divergence occurs when the price makes a lower low, but the CVD indicator shows a higher low. This indicates increasing buying pressure in the market, even though the price is declining. In other words, despite the price dropping, buyers are gradually gaining strength, which could signal a price reversal and the start of a bullish trend.
How to use this signal : In this scenario, traders looking to go long can use this signal as a favorable opportunity to enter the market. After a bullish divergence, the market typically tends to move upward.
To reduce risk, traders can wait for further confirmation from the price chart. For example, if the price breaks through the previous high after the divergence or breaks a resistance level, this could be a more reliable signal for entering the market.
🟣 Bearish CVD Divergence
A bearish CVD divergence is the opposite of a bullish divergence. In this type of divergence, the price makes a higher high, but the CVD indicator shows a lower high. This indicates decreasing buying pressure and weakening momentum in the current bullish trend. A bearish divergence often serves as a warning of a potential market reversal to the downside.
How to use this signal : Traders can use this divergence as an opportunity to exit long positions or enter short positions. When the CVD indicator makes a lower high compared to the price, it signals weakness in buyer strength.
If traders receive further confirmation from the price chart, such as a break of key support levels or an increase in selling volume, this can serve as a stronger signal for the beginning of a bearish trend.
🟣 How to Build a Trading Strategy with Cumulative Volume Delta Divergence
Using CVD divergence alone may not be sufficient. Traders should combine this tool with other technical analysis techniques and indicators to have more confidence in their decisions. For example, when observing a CVD divergence, traders can also analyze volume, trend lines, or candlestick patterns to get a more accurate market analysis.
Additionally, risk management should always be a priority. Using stop-loss orders and properly sizing trades can help traders minimize their losses if they make a mistake.
🔵 Setting
Divergence Fractal Period : Determines the period of swings. The minimum and default value is 2.
CVD Period : You can set the period of " Periodic " and " EMA " modes.
Cumulative Mode : It has three modes "Periodic" and "EMA". In "Periodic" mode, it accumulates the volume periodically and in "EMA" mode, it calculates the moving average of the volume.
Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume. The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different.
🔵 Conclusion
The Cumulative Volume Delta (CVD) indicator is a powerful tool in technical analysis, helping traders better identify price trends and make more accurate market predictions. By identifying CVD divergences, traders can anticipate price reversals and time their market entries and exits accordingly.
Bullish and bearish CVD divergences each provide valuable signals that can help traders identify the best entry and exit points in the market. A bullish CVD divergence signals strength in buying that will likely lead to a price increase, while a bearish CVD divergence indicates weakness in the bullish trend and the potential for the beginning of a bearish trend.
Overall, combining CVD with other technical analysis tools and employing risk management strategies can help traders make better trading decisions and capitalize on available market opportunities.
Oscillatore
Zaree - Predictive Imparity Momentum IndicatorThe "Zaree - Predictive Imparity Momentum Indicator" (Z-PIMI) is a custom indicator designed to measure the momentum difference between two currency pairs. Let's break down its components and functionality:
Inputs:
pimiLength: Defines the period for the RSI calculation.
selectedMAType: Allows the user to choose the type of moving average (SMA, EMA, WMA, VWMA) they want to apply to the PIMI.
maLength: Defines the period for the chosen moving average.
baseCurrency & quoteCurrency: These are the two currency pairs that the user wants to compare.
Timeframe Selection:
The user can select a specific timeframe for the analysis, or they can use the chart's current timeframe.
Calculation of Currency Indices:
The closing prices of the Base Currency and Quote Currency are fetched for the selected timeframe.
The RSI (Relative Strength Index) is calculated for both currencies using the pimiLength.
The PIMI is then calculated by subtracting the RSI of the Quote Currency from the RSI of the Base Currency.
Moving Average Calculation:
A moving average of the PIMI is calculated based on the user's selected type (selectedMAType) and period (maLength).
Style Settings:
These are hardcoded values that define the levels for the upper and lower bands. These bands can help identify overbought or oversold conditions.
Highs and Lows Calculation:
The highest and lowest values of the PIMI over specified periods (highsLength and lowsLength) are calculated. These can help identify extreme values or turning points.
Plotting:
The PIMI is plotted as a white line.
The moving average of the PIMI is plotted as a purple line.
The upper and lower bands are plotted as horizontal lines at specified levels.
The highest and lowest values of the PIMI are plotted as red and green lines, respectively.
Interpretation:
The PIMI provides a measure of the momentum difference between two currency pairs. When the PIMI is rising, it indicates that the Base Currency is gaining momentum relative to the Quote Currency, and vice versa.
The moving average can be used as a signal line. For instance, when the PIMI crosses above its moving average, it might be considered a bullish signal, and when it crosses below, it might be considered bearish.
The upper and lower bands, as well as the highs and lows lines, can help identify overbought or oversold conditions. For example, if the PIMI reaches or exceeds the upper band, it might indicate overbought conditions, suggesting a potential reversal or pullback.
Overall, the Z-PIMI offers a tool to compare the momentum of two currency pairs and identify potential trading opportunities based on their relative strength and established thresholds.
MACD-AS MTF [JoseMetal]============
ENGLISH
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- Description:
This script is a modification of the Moving Average Convergence Divergence (MACD) of Thomas Aspray, and called as MACD-AS and you may get earlier signals than MACD.
On this (my version) you have several extra elements and customization.
Foremost (of course) you have the MACD-AS, which is the HISTOGRAM, also, it has a SIGNAL line (which smooths the MACD-AS), and finally, a higher timeframe oscillator based on one of the previous values (custom).
- Visuals, features, customization:
You can show/hide any of the components with a checkbox (MACD-AS, Signal and HTF Oscillator).
The timeframe for the higher timeframe oscillator is customizable, but by default is automatic and multiplies the chart timeframe by 3: 5m > 15m, 15m > 45m etc.
So we have the MACD-AS as a histogram, with 2 optional color schemes and custom transparency, it works similar to the original MACD, oscillating around the 0 level. Green colors (bull) if above 0, red (bear) below 0.
Smoothed MACD-AS makes the Signal line, going up (bull) shows green color, down (bear) red, changes from one to another also prints a colored dot. There's another feature which darkens the color when the momentum is losing strength, a strength filter input is available for that purpose but the default 0.5 works well.
The higher timeframe oscillator (it's called "oscillator" because you can pick if you want to show the MACD-AS or Signal line of the higher timeframe), is always shown as a line, colors work similar to the Signal line, but BLUE for bull and PINK for bear.
Finally, the background color just changes from green (bull) to red (bear) and vice versa if the Signal line is above or below the 0 line to show bull/bear trend too, this is slower than other indicator signals as well.
- Usage and recommendations:
You can use this script as default MACD, the difference is that you'll use the DOTs of the Signal line (when changing green to red and vice versa) as crossovers on the classic MACD.
You can also use the higher timeframe oscillator as a trend filter to not to trade against it, ex: if the HTF is bull, don't try to SHORT.
My favorite usage is to find DIVERGENCES with the MACD-AS (histogram) with the HTF MACD-AS histogram as well, having 2 confirmations, ex: 5m divergence + 15m divergence.
As always, suggestions are welcome.
Enjoy!
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ESPAÑOL
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- Descripción:
Este script es una modificación del Moving Average Convergence Divergence (MACD) de Thomas Aspray, y llamado como MACD-AS, se pueden obtener señales más tempranas que con el MACD.
En ésta (mi versión) tiene varios elementos adicionales y personalización.
En primer lugar (por supuesto) tienes el MACD-AS, que es el HISTOGRAMA, también, tiene una línea de SEÑAL (que suaviza el MACD-AS), y por último, un oscilador de marco de tiempo superior basado en uno de los valores anteriores (personalizado).
- Visuales, características, personalización:
Puedes mostrar/ocultar cualquiera de los componentes con un checkbox (MACD-AS, Señal y Oscilador HTF).
La temporalidad para el oscilador HTF es personalizable, pero por defecto es automático y multiplica la temporalidad del gráfico por 3: 5m > 15m, 15m > 45m etc.
El MACD-AS (histograma), con 2 esquemas de color opcionales y transparencia personalizada, funciona de forma similar al MACD original, oscilando alrededor del nivel 0. Colores verdes (alcista) si está por encima de 0, rojo (bajista) por debajo de 0.
El suavizado del MACD-AS hace la línea de señal, subiendo (alcista) muestra color verde, bajando (bajista) rojo, cambios de uno a otro también imprime un punto de color. Hay otra característica que oscurece el color cuando el impulso está perdiendo fuerza, una entrada de filtro de fuerza está disponible para ese propósito, pero el valor predeterminado 0,5 funciona bien.
El oscilador de temporalidad superior (se llama "oscilador" porque puedes elegir si quieres mostrar el MACD-AS o la línea de señal), siempre se muestra como una línea, los colores funcionan de forma similar a la línea de señal, pero AZUL para alcista y ROSA para bajista.
Por último, el color de fondo sólo cambia de verde (alcista) a rojo (bajista) y viceversa si la línea de señal está por encima o por debajo de la línea 0 para mostrar la tendencia alcista / bajista también, eso si, resulta más lento que otros avisos del indicador.
- Uso y recomendaciones:
Puedes usar este script como el MACD clásico, la diferencia es que usarán los PUNTOS de la línea de Señal (cuando cambie de verde a rojo y viceversa) como cruces en el MACD clásico.
También puedes usar el oscilador de mayor temporalidad como filtro de tendencia para no operar en contra de ella, ej: si el HTF es alcista, no intentes SHORTs.
Mi uso favorito es encontrar DIVERGENCIAS con el MACD-AS (histograma) y el HTF MACD-AS, teniendo 2 confirmaciones, ej: 5m divergencia + 15m divergencia.
Como siempre, las sugerencias son bienvenidas.
¡Que lo disfrutéis!
Cauchy Distribution Oscillator by c00l75ITALIANO: Questo script è un indicatore che non viene sovrapposto al grafico dei prezzi. Utilizza una finestra di lookback di 14 periodi (che può essere modificata dall’utente) per calcolare la distribuzione di Cauchy per ogni periodo.
La distribuzione di Cauchy è una distribuzione di probabilità continua che viene utilizzata in statistica. Ha una forma simile a quella della distribuzione normale, ma con code più pesanti. Questo significa che ha una maggiore probabilità di generare valori estremi rispetto alla distribuzione normale. E' una distribuzione di probabilità che descrive nel piano euclideo l'intersezione tra l'asse delle ascisse ed una retta passante per un punto fissato ed inclinata ad un angolo che segue la distribuzione continua uniforme.
Nello script, viene utilizzata una funzione che calcola il valore della distribuzione di Cauchy per un dato valore x, utilizzando altre 2 variabili per le quali ho impostato un valore fisso. Il risultato viene quindi memorizzato in un array e la media viene calcolata per tutti i valori nell’array.
E' un oscillatore un po' "estremo", che misura il momentum del prezzo in maniera decisa e per tanto, secondo la mia opinione, va utilizzato di concerto con altri indicatori per poter prendere decisioni consapevoli.
Ad ogni modo se vi piace mettete un "boost" e lasciate un commento se volete altre funzioni o modifiche su questo script.
ENGLISH: This script is an indicator that is not overlaid on the price chart. It uses a 14-period lookback window (which can be modified by the user) to calculate the Cauchy distribution for each period.
The Cauchy distribution is a continuous probability distribution that is used in statistics. It has a similar shape to the normal distribution, but with heavier tails. This means that it has a higher probability of generating extreme values than the normal distribution. It is a probability distribution that describes in the Euclidean plane the intersection of the x-axis and a line passing through a fixed point and inclined at an angle that follows the uniform continuous distribution.
In the script, a function is used that calculates the value of the Cauchy distribution for a given x value, using 2 other variables for which I set a fixed value. The result is then stored in an array and the mean is calculated for all the values in the array.
It is a somewhat "extreme" oscillator, measuring price momentum in a decisive way and therefore, in my opinion, should be used in concert with other indicators in order to make informed decisions.
Anyway if you like it put a "boost" and leave a comment if you want other functions or modifications on this script.
KST con HMA---------- ENGLISH DESCRIPTION ----------
The indicator created is called "KST with HMA" and is used to measure the impulse of an asset's price.
The code begins by defining four variables representing ROC (Rate of Change) period lengths for calculating the KST (Know Sure Thing) and a variable for the length of the HMA (Hull Moving Average).
Next, an HMA function is defined to calculate the Hull Moving Average, a type of weighted moving average that adjusts for price volatility.
ROC values are then calculated for the four periods defined above and KST values are calculated as a weighted sum of the ROC values. These values are then normalized with the HMA and the standard deviation of the HMA is calculated. The normalized value is finally plotted with three different color lines: black for values greater than 1, red for values less than -1, and green for values between -1 and 1.
Finally, a black dashed line is plotted to represent the zero line. The green line indicates a phase of market uncertainty or lateralization, while the indicator can be used to identify buy points above zero and sell points below zero.
---------- ITALIAN DESCRIPTION ----------
L'indicatore creato è chiamato "KST con HMA" e viene utilizzato per misurare l'impulso del prezzo di un asset.
Il codice inizia definendo quattro variabili che rappresentano le lunghezze dei periodi di ROC (Rate of Change) per il calcolo del KST (Know Sure Thing) e una variabile per la lunghezza dell'HMA (Hull Moving Average).
Successivamente viene definita una funzione HMA per il calcolo della Hull Moving Average, un tipo di media mobile ponderata che si adatta alla volatilità del prezzo.
Vengono poi calcolati i valori ROC per i quattro periodi definiti in precedenza e calcolati i valori KST come somma ponderata dei valori ROC. Questi valori vengono poi normalizzati con l'HMA e viene calcolata la deviazione standard dell'HMA. Il valore normalizzato viene infine plottato con tre diverse linee di colore: nero per valori superiori a 1, rosso per valori inferiori a -1 e verde per valori tra -1 e 1.
Infine, viene plottata una linea tratteggiata nera per rappresentare la linea zero. La linea verde indica una fase di incertezza o lateralizzazione del mercato, mentre l'indicatore può essere utilizzato per individuare punti di acquisto sopra lo zero e di vendita al di sotto dello zero.
Price Action Oscillator with RSI--------- ENGLISH ---------
This oscillator combines the Price Action and the Relative Strength Index (RSI) to help identify potential buy and sell signals in a market. The Price Action Oscillator measures the difference between the closing price and a 20-period moving average, and then normalizes this value by dividing it by the standard deviation of the closing price from the same moving average. The result is an oscillator that oscillates around zero, with positive values indicating that the closing price is above the moving average and negative values indicating the opposite. The oscillator is then normalized again to smooth out the curve.
The RSI is also calculated using a 14-period setting. The color of the oscillator line is determined by its normalized value and the RSI level. A green color is used for averaging values, black for values when the RSI is above 70, and red for values when the RSI is below 30. A dashed line is also plotted at the zero level to help identify potential buy and sell signals.
Traders can use this script to identify potential buy and sell signals based on the cross of the oscillator line with the zero line, as well as the color of the oscillator line. A buy signal may be identified when the oscillator line crosses above the zero line and is colored black, while a sell signal may be identified when the oscillator line crosses below the zero line and is colored red.
---------- ITALIAN -------------
Questo oscillatore combina l'oscillatore Price Action e l'Indice di Forza Relativa (RSI) per aiutare a identificare potenziali segnali di acquisto e vendita in un mercato. L'oscillatore Price Action misura la differenza tra il prezzo di chiusura e una media mobile a 20 periodi, e poi normalizza questo valore dividendo la differenza per la deviazione standard della chiusura dalla stessa media mobile. Il risultato è un oscillatore che oscilla intorno allo zero, con valori positivi che indicano che il prezzo di chiusura è sopra la media mobile e valori negativi che indicano il contrario. L'oscillatore viene poi nuovamente normalizzato per levigare la curva.
L'RSI viene anche calcolato utilizzando una configurazione a 14 periodi. Il colore della linea dell'oscillatore è determinato dal suo valore normalizzato e dal livello RSI. Viene utilizzato il colore verde per i valori medi, nero per i valori quando l'RSI è superiore al 70 e rosso per i valori quando l'RSI è inferiore al 30. Viene anche disegnata una linea tratteggiata a livello dello zero per aiutare a identificare potenziali segnali di acquisto e vendita.
I trader possono utilizzare questo script per identificare potenziali segnali di acquisto e vendita in base all'incrocio della linea dell'oscillatore con la linea dello zero, nonché al colore della linea dell'oscillatore. Un segnale di acquisto può essere identificato quando la linea dell'oscillatore incrocia sopra la linea dello zero e viene colorata di nero, mentre un segnale di vendita può essere identificato quando la linea dell'oscillatore incrocia sotto la linea dello zero e viene colorata di rosso.
TRIX with Momentum----------- ENGLISH --------------
This indicator is called "TRIX with Momentum" and is used to analyze the momentum of an asset's price and predict potential trend reversals. The logic of operation is based on the combination of two indicators: the Triple Exponential Moving Average (TRIX) and the momentum oscillator.
The TRIX is calculated using three exponential moving averages (EMA) of the asset's closing price, with a user-defined length (set to 14 by default). The TRIX is then normalized and centered around 0 to facilitate analysis of its relationship with the momentum oscillator.
The momentum oscillator is calculated using the EMA of the normalized TRIX with a user-defined length (set to 14 by default).
The indicator plots the normalized TRIX and the momentum oscillator on a chart, using different colors to indicate whether the TRIX is above or below 0. Additionally, the color of the y-axis label changes based on the position of the oscillator, while the color of the x-axis label remains gray.
The indicator uses a weighted average between the normalized TRIX and the momentum oscillator to create a colored background of the chart, which changes based on the weighted average. If the weighted average is positive, the chart's background is green, otherwise it is red. Finally, a horizontal line is drawn at point 0 to facilitate visual analysis of the chart.
------------ ITALIANO -------------
Questo indicatore è chiamato "TRIX with Momentum" ed è utilizzato per analizzare il momentum del prezzo di un asset e prevedere eventuali inversioni di trend. La logica di funzionamento è basata sulla combinazione di due indicatori: il TRIX (Indicatori di media mobile Tripla Esponenziale) e l'oscillatore momentum.
L'indicatore consente all'utente di impostare la lunghezza del TRIX e dell'oscillatore momentum come input personalizzato. Il TRIX viene calcolato utilizzando tre medie mobili esponenziali (EMA) della chiusura dei prezzi dell'asset, mentre l'oscillatore momentum viene calcolato utilizzando l'EMA del TRIX normalizzato.
Il TRIX normalizzato viene centrato intorno allo 0 per facilitare l'analisi della sua relazione con l'oscillatore momentum. L'indicatore plotta il TRIX normalizzato e l'oscillatore momentum su un grafico, utilizzando diversi colori per indicare se il TRIX è sopra o sotto lo 0.
L'indicatore utilizza una media pesata tra il TRIX normalizzato e l'oscillatore momentum per creare uno sfondo colorato del grafico, che cambia in base alla media pesata. L'utente può impostare il peso da dare al TRIX e all'oscillatore momentum come input personalizzato, e il peso dell'oscillatore momentum verrà automaticamente impostato come complementare al peso del TRIX.
Se la media pesata è positiva, lo sfondo del grafico è verde, altrimenti è rosso. Viene tracciata anche una linea orizzontale al punto 0 per facilitare l'analisi visiva del grafico.
Infine, il colore dell'etichetta dell'asse y cambia in base alla posizione dell'oscillatore, mentre il colore dell'etichetta dell'asse x rimane sempre grigio.
Athena Momentum Squeeze - Short, Lean, and Mean This is a very profitable strategy focusing on 15 minute intervals on the Micro Nasdaq Futures contracts. CME_MINI:MNQH2023
As this contract only keeps positions for on average about an hour risk is managed. At a profit factor of 3.382 with a max drawdown of $123 from January 1st to February 15. Looking back to Dec 2019 still maintains a profit factor of 1.3.
See backtesting: www.screencast.com
2019 backtesting: www.screencast.com
Based on the classic Lazy Bear Oscillator Squeeze with a number of modifications from ADX, MAs and adding fibonacci levels.
We like keeping strategies simple yet powerful, no completely where you can't understand your own trades.
Our team is always modifying and improving the strategy. Always open to collaborating on improving as there is no perfect strategy. www.screencast.com
Reversal Pivot
Overview
Introducing the Reversal Pivot indicator - a tool for identifying potential reversal points in price. This algorithm takes into account multiple factors, including price action, volume, and pivot points, to give you a clear and accurate picture of where the market is heading to.
How it works
The indicator gets expansions and the highs and lows and uses the conditions along with pivots to determine whether a reversal is possible or not. Then it gets the volume to determine how strong this chance of reversal is.
How to use
The Reversal Pivot indicator alone shouldn't be used to find reversal points but it helps you get a clear insight on where possible reversals could happen for example, you could use it with mean reversion strategies to find the best entries.
Red bars signal a bearish reversal
Green bars signal a bullish reversal
This here is an example of a long entry if you are trading lets say the mean. You can wait for a bullish reversal on the Histogram plot and then enter, a reversal could happen.
This is an example of a short entry if you are also trading the mean.
Other features
This indicator allows you to customize the colors, and the histogram. If you don't like the histogram then you can change its plot style to whatever you would like.
Try the Reversal Pivot indicator today and find more possible reversal points!
supersignal oscilatorThis indicator shows you a special divergence which you can use them for getting the trend of chart and the base code of indicator is on ichimoku
these divergences are based on ichimoku
In LongTerm divergence, we calculate the difference between lead 1 and lead 2, and a graph is formed from their difference, by comparing the obtained graph and the candles, we find the divergence between them
In ShortTerm divergence, we calculate the difference between Conversion and Base, and a graph is formed from their difference, by comparing the obtained graph and the candles, we find the divergence between them
-The Accuracy Section has two options:
Default means that numbers are based on default numbers
when you choose golden,The indicator find a number automatic based on 3000 candle ago and put them on ichimoku numbers
in Line option you can choose the LongTerm Divergence or ShortTerm Divergence
in Ichi smooth we specify the number that we want to smooth LongTerm line or turn it to sma (Simple Moving Average)
in Ichi smooth we specify the number that we want to smooth ShortTerm line or turn it to sma (Simple Moving Average)
Signal Line is based on the same Signal Line on Macd
I hope you enjoy it :)
SagaViewSagaView is an author's analytical tool where the visual part consists of zones and levels (these parts are described in more detail below).
This indicator allows you to determine whether the market is oversold or overbought, and use the levels of the indicator to determine the probability of price reversal.
SagaView Zones
SagaView zones show areas of the market that are overbought/oversold. These zones are determined on the basis of the closing prices of the previous bars. SagaView zones may differ in size (number of candles included in the shaded area). The larger the size of the zone, the higher the probability of an imminent price reversal. Also, in the case of a smaller zone size, it can indicate the emergence of a strong movement. SagaView levels are used to determine the potential of movement and probability of reversal.
SagaView levels
SagaView levels are built from local extremums. These levels are potential levels of resistance or support. A large number of crossings of the level by the price usually reduces its importance. SagaView levels display a line on the chart only until it is crossed by price to filter a weak levels. Also, a level can lose its strength over time. But in SagaView you can filter out levels that are too old (even if they have not been crossed by price).
Using SagaView
Thus, the SagaView zones make it possible to determine the trending areas of the market (a number of bars in the shaded area), and the SagaView levels make it possible to assess the probability of a price reversal in these areas.
Disclamer: remember that financial markets carry risks and no trading tool will guarantee you earnings.
Only your cold mind and knowledge.
TradeIQ - Crazy Scalping Trading Strategy [Kaspricci]This strategy script is a combination of two indicators developed by LuxAlgo:
Triangular Momentum Oscillator & Real Time Divergences ( TMO )
Adjustable MA & Alternating Extremities (AMA)
The script combines the BUY and SELL signals from the TMO indicator with the BUY and SELL extremities shown by the AMA script and waits for the smoothed candles to grow in size. It places a SHORT or LONG order and sets a stop loss at the latest swing high or low (highes high or lowest low for a defined number of recent bars). A new LONG trade is highlighted by a green background. A new SHORT trade is highlighted by red background.
The trades will be closed once a new TMO indicator BUY or SELL signal appears or the color of the AMA extremities is switching from green to red and vice versa.
All parameters of TOM and AMA indicators are added as well and work the same way as in the original scripts provided by LuxAlgo.
The idea to combine these two indicators has been provided to me by TradIQ in his youtube video.
Please leave a comment in case you find a bug. In case you find a combination of parameters with a high win rat and high PnL I would be interested as well.
Dynamic Zone Range on OMA [Loxx]Dynamic Zone Range on OMA is an One More Moving Average oscillator with Dynamic Zones.
What is the One More Moving Average (OMA)?
The usual story goes something like this : which is the best moving average? Everyone that ever started to do any kind of technical analysis was pulled into this "game". Comparing, testing, looking for new ones, testing ...
The idea of this one is simple: it should not be itself, but it should be a kind of a chameleon - it should "imitate" as much other moving averages as it can. So the need for zillion different moving averages would diminish. And it should have some extra, of course:
The extras:
it has to be smooth
it has to be able to "change speed" without length change
it has to be able to adapt or not (since it has to "imitate" the non-adaptive as well as the adaptive ones)
The steps:
Smoothing - compared are the simple moving average (that is the basis and the first step of this indicator - a smoothed simple moving average with as little lag added as it is possible and as close to the original as it is possible) Speed 1 and non-adaptive are the reference for this basic setup.
Speed changing - same chart only added one more average with "speeds" 2 and 3 (for comparison purposes only here)
Finally - adapting : same chart with SMA compared to one more average with speed 1 but adaptive (so this parameters would make it a "smoothed adaptive simple average") Adapting part is a modified Kaufman adapting way and this part (the adapting part) may be a subject for changes in the future (it is giving satisfactory results, but if or when I find a better way, it will be implemented here)
Some comparisons for different speed settings (all the comparisons are without adaptive turned on, and are approximate. Approximation comes from a fact that it is impossible to get exactly the same values from only one way of calculation, and frankly, I even did not try to get those same values).
speed 0.5 - T3 (0.618 Tilson)
speed 2.5 - T3 (0.618 Fulks/Matulich)
speed 1 - SMA , harmonic mean
speed 2 - LWMA
speed 7 - very similar to Hull and TEMA
speed 8 - very similar to LSMA and Linear regression value
Parameters:
Length - length (period) for averaging
Source - price to use for averaging
Speed - desired speed (i limited to -1.5 on the lower side but it even does not need that limit - some interesting results with speeds that are less than 0 can be achieved)
Adaptive - does it adapt or not
Variety Moving Averages w/ Dynamic Zones contains 33 source types and 35+ moving averages with double dynamic zones levels.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
4 signal types
Bar coloring
Alerts
Channels fill
Ichimoku Kinkō hyō 目均衡表█ OVERVIEW
Ichimoku is known to be an Indicator that completes itself, for its power but also for its complexity. This is why I decided to improve the work of
Goichi Hosoda in order to offer the maximum number of options for the most seasoned users but also beginners with options to simplify the
reading of Ichimoku (such as a panel directly giving you the status of each Ichimoku options or Supports/Resistances drawn automatically
according to the conditions chosen in the settings.
█ OPTIONS
Here is the complete list of options to implement :
- "Source" and "Alternative Source" (with lots of choices)
- Heikin Ashi volume.
- Weighted Moving Average Smoothing
- Minimum, Maximum and Adaptive Percentage Length adjustable for Tenkan-Sen, Kijun-Sen, Chikou Span and Senkou-Span)
- The Chikou has a Filter with modifiable Length (in Lookback Percentage)
- Advanced Filter Settings: Volume, Tenkan-Sen/Kijun-Sen Cross, Volatility, Tenkan-Sen Equal Kijun-Sen, Chikou Greater Than Price,
Chikou Momentum, Price Greater Than Kumo, Price Greater Than Tenkan-Sen, Chikou Trend Filter .
- Oscillator volume adjustable via drop-down menu with 5 types of oscillators available: "TFS Volume", "On Balance Volume",
"Klinger Volume", "Cumulative Volume", "Volume Zone".
- Relative Volume Strength Index with Length, Peak and EMA's adjustable. 3 Oscillators available: “On Balance Volume”,
“Cumulative Volume”, “Price Volume Trend”.
- Volatility adjustable with Fast and Slow Length.
- Totally customizable Support and Resistance.
- Bar Trend Color based on chosen settings.
- Fully customizable help panel.
- Alerts available for: Labels Detection, Support/Resistance Line Cross, Panel Trend Status Direction.
█ NOTES
Remember to only make a decision once you are sure of your analysis. Good trading sessions to everyone and don't forget,
risk management remains the most important!
Rainbow Oscillator [Strategy]Strategy based on Rainbow Oscillator
.:: Features ::.
Takes and Stops in percent
Configurable indicator iside
.:: Long condition ::.
Indicator line is green (mean uptrend) and crossing averages generated from oscillograph signal fast is go up and crossing slow
.:: Short condition ::.
Indicator line is red (mean downtrend) and crossing averages generated from oscillograph signal fast is go down and crossing slow
Bitcoin Risk Long Term indicatorOBJECTIVE:
The purpose of this indicator is to synthesize via an average several indicators from a wide choice with in order to simplify the reading of the bitcoin price and that on a long term vision.
Useful for those who want to see things simply, typically to make a smart DCA based on risk.
I originally used this script as a sandbox to understand and test the usefulness of several indicators, and to develop my PineScript skills, but finally the Risk Indicator output seems relevant so I decided to share it.
USAGE:
The selected indicators are the ones that I think give the best market bottoms, but the idea here is that anyone can try and use any set of indicators based on those preferences (post in comments if you find a relevant config)
Most of the indicator inputs are configurable. And some are not taken into account in the calculation of the Risk indicator because I consider them not relevant, this script is also a test more than a final version.
NOTES :
If you have any idea of adding an indicator, modification, criticism, bug found: share them, it is appreciated!
In the future I will create another more versatile Risk indicator that will not be focused on bitcoin in weekly. (this indicator is still usable on other assets and timeframe)
THANKS:
to Benjamin Cowen for inspiring me with his Bitcoin Risk metric
to Lazybear for his Wavetrend Indicator and all the scripts he shares
to Mabonyi for his Bitcoin Logarithmic Growth Curves & Zones script
to VuManChu for his VMC Cypher B Divergence
to the Trading view team for developing TV and PineScript
And to all the community for all the published codes that allowed me to progress and create this script
---- FR ----
OBJECTIF :
L'objectif de cet indicateur est de synthétiser via une moyenne plusieurs indicateurs parmi un large choix avec afin de simplifier la lecture du cours de bitcoin et cela sur une vision longue terme.
Utile pour ceux qui veulent voir les choses simplement, typiquement faire un DCA intelligent en fonction du risque.
À la base j'ai utilisé ce script comme un bac à sable pour comprendre puis tester l'utilité de plusieurs indicateurs, et développer mes compétences PineScript, mais finalement l'output Risk Indicateur me semble pertinent donc autant le partager.
UTILISATION :
Les indicateurs sélectionnés sont ceux qui permettent selon moi d'avoir les meilleurs point bas de marché, mais l'idée ici est que chacun puisse essayer et utiliser n'importe quel ensemble d'indicateur en fonction de ces préférences (poster en commentaire si vous trouvez une configuration pertinente)
La plupart des inputs indicateurs sont paramétrables. Et certains ne sont pas pris en compte dans le calcul du Risk indicateur car je les estime non pertinent, ce script est aussi un essai plus qu'une version finale.
NOTES :
Si vous avez la moindre idée d'ajout d'indicateur, modification, critique, bug trouvé : partagez-les, c'est apprécié !
à l'avenir je créerais un autre Risk indicator plus polyvalent qui ne sera pas focalisé sur bitcoin en weekly. (cet indicateur est tout de même utilisable sur d'autre actif et timeframe)
REMERCIEMENT :
à Benjamin Cowen pour m'avoir inspiré avec son Bitcoin Risk metric
à Lazybear pour son Wavetrend Indicator et globalement tout les scripts qu'il partage
à Mabonyi pour son script Bitcoin Logarithmic Growth Curves & Zones
à VuManChu pour son VMC Cypher B Divergence
à l'équipe Trading view pour avoir développé TV et PineScript
Et à toute la communauté pour tous les codes publiés qui m'ont permis de progresser et de créer ce script
