FFT Strategy Bi-Directional Stop/Profit/Trailing + VMA + AroonThis strategy uses the Fast Fourier Transform inspired from the source code of @tbiktag for the Fast Fourier Transform & @lazybear for the VMA filter.
If you are not familiar with the Fast Fourier transform it is a variation of the Discrete Fourier Transform. Veritasium on youtube has a great video on it with a follow up recommendation from 3brown1blue. In short it will extract all the frequencies from a set of data. @tbiktag laid the groundwork for creating the indicator which will allow you to isolate only those signals which are the most relevant and remove the noise. I recommend having @tbiktag's FFT Transform indicator side by side with this to understand what my variation is doing by setting similar settings .
Using this idea, you can then optimize a strategy to the frequencies that are best. The main entry signal is when the FFT Signal crosses above or below the 0 line .
Included with this strategy is the ability to optionally bi-directionally set:
Stop Loss
Trailing Stop Loss
Take Profit
Trailing Take Profit
Entries are optionally further filtered by use of the VMA using the algorithm from LazyBear which allows you to adjust a variable moving average with 3 market trend detections. Green represents upwards momentum; Blue sideways trading and Red downwards momentum. The idea being to filter out buy or sell entries unless the market is moving in that direction, and this makes a big difference as you can see for yourself when you turn it off or on. Turning it off will change the color of the FFT signal to orange instead of the green, blue, red colors .
I have added 2 custom stop loss types as well for experimentation:
1. VMA Filter stop loss to exit the trade if the VMA detects a market trend direction change matching the rules you have set. I have set this to off by default, but it is there so you can see what affect it may have on other tickers. It can increase the profit factor but usually at a cost of net profit.
2. The Aroon Filter stop loss with different lengths for the short or long direction. For the Aroon strategy (which is a trend change detector) it is considered bullish if the upper line (green in my code) is above 70 and the lower line (red in my code) is below 30 and the opposite for the bearish case. With this in mind, I have set it to filter by default only the extreme ends (99 and 1) to increase profit factor and net profit but I encourage you to try different settings and see how it affects things. Turning this off yields much higher net profit but at the cost of the profit factor and drawdown . To disable this just uncheck the 'Use Aroon Filter Long' (or short) and it will also hide the aroon graphics and crosses on the plot.
I will be adding more features in an attempt to lower the drawdown on this strategy but I hope you enjoy what I have so far!
In den Scripts nach "文华财经tick价格" suchen
Lagging Session Regression ChannelHello Traders !
Note :
This is my very first published script on trading view & from brainstorming an idea to developing to the finched product it was imperative to me for the indiactor and every one of its features to be of some meaningfull use. If you like the idea of statsitics being able to predict future prices in the market then this indicator may be usefull in your trading arsenal.
Introduction :
Lagging Session Regression Channel (LSRC) is a statistical trend analysis indicator that "laggs" the market by the user defined session, by defualt a day, by doing so the indicator leverges the ability of simple linear regression to predict future asset price.(This can be used on any asset in any market in any time frame)
Options & inputs :
- Bar regression lookback :
The value of bars back from the lats session change, if the seesion time is equivelnt to the the chart timefrmae then the regression line will not lag price, i.e it will act as a stantdard lineer regression channel chnaging on evrey last confimred bar.
- Standard Deviation lookback :
The value of bars from the last session change to cacluate the unbiased standard deviation, The lookback can be set to > or < the regression lookback to cauture > or < less asset volatility. (note this is the same as the residual standard deviation)
- Predicted price at nth bar :
if you whant to know the predicted close price value at any given point in the regression and to the RHS of the regression.
- Regression Line colors group :
Changes the colors of each plotted line.
- OLS Line color : is only changeable when trend color is set to false / unticked.
- Visable deviations group :
Plots the lines that you want on chart, e.g if "Show DEV1" and "Sow DEV SUB1" are the only inputs ticked then they will be the only lines ploted along with the simple linear regression line.
- Regression Line Dynamics group :
All inputs in this group change the regressions calculations given the bar lookback is constant / the same.
- Trend color : if set too true, when the close of the proceding real time bar is greater than the simple linear regression line from the last confimred session the line will be colored green, if otherwise the close is below the simple linear regression line the line will be colored red.
- Extend regression line :
This is the same chart image as seen on the publication chart image but with Extend regression line set to true, this allows the trader to test the valdity of the regression and how well it predicts future price, as seen on the M15 chart of BTCUSD above the indicator was pritty good at doing this.
- Standard deviation channel source :
Source for standard deviation to be calculated on. note if this is set to a varible other than the close then this will no longer be the resdiaul standard deviation, as of now "LSRC 1.0" the regression uses only the close for y / predicted values.
- Time elasped unitl next regression calculation :
The session time until the next LSRC will be calculated and plotted
Label LSRC stats :
- STAN DEV : the standard deviation used to cacluateed the deviation channels
- MIN : The lowest price across the regression
- MAX : The highest price across the regression
- n bars above dev 1 : The number of bars that closed above the first standard deviation channel across the entire regression calculation
- n bars below sub dev1 : The number of bars that closed below the first standard deviation channel.
- Regression Price : The output of "Predicted price at nth bar" input.
Hope you find this usefull !
I will continue too try improve this script and update it accordingly.
Trend & atr day & calcHi!
Why for what and how in this script?
At the time of publication the script consists of three modules, it may increase in the future.
1. Bottom left corner : daytime ATR module
(idea and basis of the author's script - ???)
- The size of the daily ATR based on 14 bars;
- intraday ATR progress;
- colour indication of the progress status, for easier visual perception (green < 70%, yellow 70-90 and red over 90% of ATR)
By evaluating the progress of the daily ATR, it is possible to suggest and expedient to enter/exit/hold a trade.
2. Top right: trend module
The trend is calculated based on Bill Williams' alligator indicator
- trend status on specified timeframes for the current ticker;
- colour indication for visual perception (green - growing trend, yellow - alligator is sleeping, red - downtrend)
Do not forget that the alligator is based on moving averages with the resulting consequences.
Its purpose is to assess the state of the trend on other ticker TFs, without additional actions (switching to another screen or TF)
3. In the bottom left corner - risk and position calculator
(based on an idea of the risk calculator by @andrei.bunulu)
It helps to determine the advisability of entering the trade and also what size position to enter into the trade, within money management strategy chosen.
- The calculator works in two directions: long deal and short deal (short deal calculation is enabled by check-box in settings)
- two calculation methods:
a. based on the set stop loss % (default is 0.3%), in this mode the stop and takeout level is automatically calculated (default is 1 / 3).
b. by entering the desired price levels (entry, stop and take profit points)
To make this work correctly please do not forget to choose the type of calculation (% or price) in the settings, and the currency symbol (for visual representation in the results).
The calculator can take into account the set commissions and spreads.
When hovering over the module - tooltips are displayed.
Each module can be enabled / disabled in the settings.
The size and arrangement of the modules is made for joint use with the script - "Abnormal Bar".
/// а по-русски это так ///
Привет!
Зачем для чего и как в этом скрипте?
На момент публикации скрипт состоит из трех модулей, возможно в будущем увеличится.
1. В левом нижнем углу : модуль дневного ATR
(идея и основа скрипт автора - ???)
- размер дневной ATR на основании 14 баров;
- прогресс ATR внутри дня;
- цветовая индикация состояния прогресса, для более простого визуального восприятия (зеленый < 70%, желтый 70-90 и красный более 90% ATR)
Оценивая прогресс дневного ATR, можно предположить и целесообразности входа / выхода / удержания из сделки.
2. В правом верхнем углу: модуль тренда
Тренд рассчитывается на основе индикатора - аллигатор Билла Вильямса
- состояние тренда на указанных таймфреймах для текущего тикера;
- цветовая индикация для визуального восприятия (зеленый - растущий тренд, желтый - аллигатор спит, красный - нисходящий тренд)
Не забываем, что аллигатор построен на основе скользящих средних с вытекающими последствиями.
Назначение - оценить состояние тренда на других ТФ тикера, без дополнительных действий (переключения на другой экран или ТФ)
3. В нижнем левом углу - калькулятор рисков и позиции
(на основе идеи калькулятора аuthor: @andrei.bunulu)
Помогает определить целесообразность входа в сделку, а также каким размером позиции входить в сделку, в рамках выбранной стратегии мани менеджмента.
- калькулятор работает в два направления: длинная и короткая сделка (расчет по короткой включается в настройках чек-боксом)
- два варианта расчета:
а. на основании установленного % стоп лосса (по-умолчанию 0,3%), при этом режиме происходит автоматический расчет уровня стопа и тейка (по умолчанию 1 / 3).
b. путем ввода данных желаемых уровней цены (точки входа, стопа и тейк профита)
Для корректной работы не забываем в настройках выбирать тип расчета (% или цена), а также символ валюты (для визуального отображения в итогах).
Калькулятор может учитывать установленный размер комиссий и спреда.
При наведении на модуль - отображаются подсказки.
Каждый модуль можно включить / выключить в настройках.
Размер и расположение модулей сделано для совместного использования со скриптом - "Abnormal Bar"
[Sniper] SuperTrend + SSL Hybrid + QQE MODHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from " QQE MOD + supertrend + ssl hybrid" by korean youtuber "코인투데이".
"코인투데이" claimed that this strategy will make you a lot of money in any crypto ticker in 15 minute timeframe.
### Entry Logic
1. Long Entry Logic
- Super Trend Short -> Long
- close > SSL Hybrid baseline upper k
- QQE MOD should be blue
2. Short Entry Logic
- Super Trend Long -> Short
- close < SSL Hybrid baseline lower k
- QQE MOD should be red
### Exit Logic
1. Long Exit Logic
- Super Trend Long -> Short
2. Short Entry Logic
- Super Trend Short -> Long
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SuperTrend and SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 3.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ True but not a 'perfect true'.
→ It did made a small profit on 15 minute timeframe. But it made a profit so it's true.
→ It worked well in longer timeframe. I think super trend works well so I will work on this further.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was not good at 15 minute timeframe, it was quite profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ Crypto like BTC, ETH was ok.
→ The result was better when I use EMA filter.
### Robust?
→ Yes. Although result was super bad in 5m timeframe, backtest result was "consistently" profitable on longer timeframe (when timeframe was bigger than 15m, it was profitable).
→ Also, MDD was good under risk management option on.
**********************************************************************************
*** Conclusion?
→ I recommend you not to use this on short timeframe as the youtuber first mentioned.
→ In my opinion, I can use on longer timeframe like 2h or bigger with EMA filter, stoploss and risk management.
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
**********************************************************************************
*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
[MT] Strategy Backtest Template| Initial Release | | EN |
An update of my old script, this script is designed so that it can be used as a template for all those traders who want to save time when programming their strategy and backtesting it, having functions already programmed that in normal development would take you more time to program, with this template you can simply add your favorite indicator and thus be able to take advantage of all the functions that this template has.
🔴Stop Loss and 🟢Take Profit:
No need to mention that it is a Stop Loss and a Take Profit, within these functions we find the options of: fixed percentage (%), fixed price ($), ATR, especially for Stop Loss we find the Pivot Points, in addition to this, the price range between the entry and the Stop Loss can be converted into a trailing stop loss, instead, especially for the Take Profit we have an option to choose a 1:X ratio that complements very well with the Pivot Points.
📈Heikin Ashi Based Entries:
Heikin Ashi entries are trades that are calculated based on Heikin Ashi candles but their price is executed to Japanese candles, thus avoiding false results that occur in Heikin candlestick charts, this making in certain cases better results in strategies that are executed with this option compared to Japanese candlesticks.
📊Dashboard:
A more visual and organized way to see the results and necessary data produced by our strategy, among them we can see the dates between which our operations are made regardless if you have activated some time filter, usual data such as Profit, Win Rate, Profit factor are also displayed in this panel, additionally data such as the total number of operations, how many were gains and how many losses, the average profit and loss for each operation and finally the maximum profits and losses followed, which are data that will be very useful to us when we elaborate our strategies.
Feel free to use this template to program your own strategies, if you find errors or want to request a new feature let me know in the comments or through my social networks found in my tradingview profile.
| Update 1.1 | | EN |
➕Additions: '
Time sessions filter and days of the week filter added to the time filter section.
Option to add leverage to the strategy.
5 Moving Averages, RSI, Stochastic RSI, ADX, and Parabolic Sar have been added as indicators for the strategy.
You can choose from the 6 available indicators the way to trade, entry alert or entry filter.
Added the option of ATR for Take Profit.
Ticker information and timeframe are now displayed on the dashboard.
Added display customization and color customization of indicator plots.
Added customization of display and color plots of trades displayed on chart.
📝Changes:
Now when activating the time filter it is optional to add a start or end date and time, being able to only add a start date or only an end date.
Operation plots have been changed from plot() to line creation with line.new().
Indicator plots can now be controlled from the "plots" section.
Acceptable and deniable range of profit, winrate and profit factor can now be chosen from the "plots" section to be displayed on the dashboard.
Aesthetic changes in the section separations within the settings section and within the code itself.
The function that made the indicators give inputs based on heikin ashi candles has been changed, see the code for more information.
⚙️Fixes:
Dashboard label now projects correctly on all timeframes including custom timeframes.
Removed unnecessary lines and variables to take up less code space.
All code in general has been optimized to avoid the use of variables, unnecessary lines and avoid unnecessary calculations, freeing up space to declare more variables and be able to use fewer lines of code.
| Lanzamiento Inicial | | ES |
Una actualización de mi antiguo script, este script está diseñado para que pueda ser usado como una plantilla para todos aquellos traders que quieran ahorrar tiempo al programar su estrategia y hacer un backtesting de ella, teniendo funciones ya programadas que en el desarrollo normal te tomaría más tiempo programar, con esta plantilla puedes simplemente agregar tu indicador favorito y así poder aprovechar todas las funciones que tiene esta plantilla.
🔴Stop Loss y 🟢Take Profit:
No hace falta mencionar que es un Stop Loss y un Take Profit, dentro de estas funciones encontramos las opciones de: porcentaje fijo (%), precio fijo ($), ATR, en especial para Stop Loss encontramos los Pivot Points, adicionalmente a esto, el rango de precio entre la entrada y el Stop Loss se puede convertir en un trailing stop loss, en cambio, especialmente para el Take Profit tenemos una opción para elegir un ratio 1:X que se complementa muy bien con los Pivot Points.
📈Entradas Basadas en Heikin Ashi:
Las entradas Heikin Ashi son operaciones que son calculados en base a las velas Heikin Ashi pero su precio esta ejecutado a velas japonesas, evitando así́ los falsos resultados que se producen en graficas de velas Heikin, esto haciendo que en ciertos casos se obtengan mejores resultados en las estrategias que son ejecutadas con esta opción en comparación con las velas japonesas.
📊Panel de Control:
Una manera más visual y organizada de ver los resultados y datos necesarios producidos por nuestra estrategia, entre ellos podemos ver las fechas entre las que se hacen nuestras operaciones independientemente si se tiene activado algún filtro de tiempo, datos usuales como el Profit, Win Rate, Profit factor también son mostrados en este panel, adicionalmente se agregaron datos como el número total de operaciones, cuantos fueron ganancias y cuantos perdidas, el promedio de ganancias y pérdidas por cada operación y por ultimo las máximas ganancias y pérdidas seguidas, que son datos que nos serán muy útiles al elaborar nuestras estrategias.
Siéntete libre de usar esta plantilla para programar tus propias estrategias, si encuentras errores o quieres solicitar una nueva función házmelo saber en los comentarios o a través de mis redes sociales que se encuentran en mi perfil de tradingview.
| Actualización 1.1 | | ES |
➕Añadidos:
Filtro de sesiones de tiempo y filtro de días de la semana agregados al apartado de filtro de tiempo.
Opción para agregar apalancamiento a la estrategia.
5 Moving Averages, RSI, Stochastic RSI, ADX, y Parabolic Sar se han agregado como indicadores para la estrategia.
Puedes escoger entre los 6 indicadores disponibles la forma de operar, alerta de entrada o filtro de entrada.
Añadido la opción de ATR para Take Profit.
La información del ticker y la temporalidad ahora se muestran en el dashboard.
Añadido personalización de visualización y color de los plots de indicadores.
Añadido personalización de visualización y color de los plots de operaciones mostradas en grafica.
📝Cambios:
Ahora al activar el filtro de tiempo es opcional añadir una fecha y hora de inicio o fin, pudiendo únicamente agregar una fecha de inicio o solamente una fecha de fin.
Los plots de operaciones han cambiados de plot() a creación de líneas con line.new().
Los plots de indicadores ahora se pueden controlar desde el apartado "plots".
Ahora se puede elegir el rango aceptable y negable de profit, winrate y profit factor desde el apartado "plots" para mostrarse en el dashboard.
Cambios estéticos en las separaciones de secciones dentro del apartado de configuraciones y dentro del propio código.
Se ha cambiado la función que hacía que los indicadores dieran entradas en base a velas heikin ashi, mire el código para más información.
⚙️Arreglos:
El dashboard label ahora se proyecta correctamente en todas las temporalidades incluyendo las temporalidades personalizadas.
Se han eliminado líneas y variables innecesarias para ocupar menos espacio en el código.
Se ha optimizado todo el código en general para evitar el uso de variables, líneas innecesarias y evitar los cálculos innecesarios, liberando espacio para declarar más variables y poder utilizar menos líneas de código.
RSI Buy & Sell Trading ScriptThis is my first attempt at a trading script using the RSI indicator for Buy & Sell signals (so please be nice but would appreciate any constructive comments).
Starting with $100 initial capital and using 10% per trade
You can select which month the backtesting starts
There is also a monthly table (sorry can’t remember who I got this from) that shows the total monthly profits, but you’ll need to turn it on by going into settings, Properties and in the Recalculate section tick the “On every tick” box
It should do the following:
Open Buy order if the RSI > 68 and the current Moving Average is greater than the previous Moving average
• TP1 = 50% of Order at 0.4%
• TP2 = 50% of order at 0.8%
• SL = 2% below entry
• Close Buy order if the RSI < 30
Open Sell order if the RSI < 28 and the current Moving Average is less than the previous Moving average
• TP1 = 50% of Order at 0.4%
• TP2 = 50% of order at 0.8%
• SL = 2% above entry
• Close Buy order if the RSI < 60
I would like to build on this if you have any ideas/ code that could help like the following:
• Move the SL to break even when it hits TP1
• Move the SL to TP1 when TP2 hits
• Moving take profit code so I can let the some of the trade stay in play (activate if it hits 1% profit and close trade if price retracts 0.5%)
Average Directional Index v2This script uses another method of obtaining the price with each tick. The combination of gap settings and price data provide a good ADXx plot that does not repaint by default.
X48 - Strategy | MA Type Cross + TPSL | Future&Spot | V.2Thank You For Open Source Code, This Strategy Ref. By 1.Simple Strategy Like MA Crossover For Long/Short or Spot Trade, 2. CDC Action Zone V.2 for BarPaint
This Strategy Mixing With MA Crossover Strategy and BarPaint By CDC Action Zone and TP/SL by Varbara
### How To Use Strategy : Setting EMA/SMA Crossover EMA/SMA, Any Value If You Want
For Long Position : Cross Up
For Short Position : Cross Down
Can Use With Spot Trade : Cross Up = Buy, Cross Down = Sell
TP/SL When Your OrderSize Change From any % Of Your TP/SL Value
### In Strategy Setting
Intitial Capital = Ex. 200
Order Size = Should Be Money Management Not Use 100% of Capital Ex. 10% of Capital (200$) = Order Size 20$
StopLoss and Take Profit = If You Run Trend TF 4H+ or 1D+ You Can Change TP% = 1,000% for nonlimit and Stop Loss 5 - 20% from your order size
Ex. Stoploss 15% = OrderSize / 100 x %SL = 20$/100 x 15% = 3$ Loss from order size 20$ (if you not set stop loss.)
Base Currency = (Your Currency) # Ex. USD
Commission = (Your Trading Fee) # Ex. Future Fee Can Check At Binance Fee Rate > www.binance.com > Choose Your Fee Type, Ex. USD M Future (Regular User) = 0.02 (Maker), 0.04 (Taker)
Commission Symbol Type = % # (Ref. By Binance Fee Rate)
### Notice ####
Default Setting It's Realistic From Normal Life Ex. Capital 200$ / Ordersize 20$ (10%)/ Commission 0.1% (Buy+Sell) / Slippage = 2 / TP = 1000% (nonlimit) / SL = 15%/OrderSize
Low Risk But High Return, Good Luck
### Bot Auto Trade by X4815162342 ###
if you wanna try my bot auto trade X48-3in1-bot : Contact My Line ID : x4815x
Full Command Alert For This Strategy If You Wanna See It's
'{"ex":"'+markettype+'","side": "'+longcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
'{"ex":"'+markettype+'","side": "'+shortcommand+'", "amount": "@{{strategy.order.contracts}}", "symbol": "{{ticker}}", "passphrase": "'+passphrase+'","leverage":"'+str.tostring(leveragex)+'"}'
But Easy Than Full Command Just Use Thisssssss !! Strategy Be Manage Auto Long and Short or TPSL Position
You Don't Do Anything Just Use This Message to Alerts Message
{{strategy.order.alert_message}}
### If you don't use bot but just looking for strategy test ####
Just Pass Bot Setting Function It's Nothing Effect For Strategy !!!!!!
Let's Enjoy With Your Strategy BackTest 😁
Remember Beware Max drawdown%. I'm Recommend Lower Than 10% It's Very Good.
(Quartile Vol.; Vol. Aggregation; Range US Bars; Gaps) [Kioseff]Hello!
This indicator is a multifaceted tool that's, hopefully, useful for price action and volume analysis.
(This script makes use of the newly introduced "text_font" parameter)
With this script you'll have access to:
Range US Chart
Volume Aggregation Chart
Gaps Chart
Volume by Quartile
Consequently, you'll have access to:
First Quartile Volume Threshold
Second Quartile Volume Threshold
Third Quartile Volume Threshold
90th Percentile Volume Threshold
Fourth Quartile Volume Threshold
Q2 - Q1 Dispersion
Q3 - Q2 Dispersion
Q4 - Q3 Dispersion
Quartile Deviation
Interquartile Range
Avg. "n" bar return following "high" volume
Avg. "n" bar positive return following "high" volume
Avg. "n" bar negative following "high" volume
# of Positive Returns Following a Gap
# of Negative Returns Following a Gap
# of Gaps
# of Up Gaps
# of Down Gaps
Average # of bars to fill Up Gaps
Average # of bars to dill Down Gaps
Average Gap Up % increase
Average Gap Down % decrease
Cumulative % increase of all Up Gaps
Cumulative % decrease of all Down Gaps
Sort gaps by distance from price
Hide gaps that price substantially deviates from (gaps will reappear when price trades near the gap)
Segment Range US bars by date
Manually configure Range US price thresholds
Identify "congestion" areas with Range US bars
Range US Levels that must be exceeded for a new Range US bar to produce
Manually configure cumulative volume threshold for Volume Aggregation bars
Segment Volume Aggregation bars by date
Largest Volume Aggregation bar increases
Largest Volume Aggregation bar decreases
Calculate log returns after "high" volume sessions
Quartile Volume
The Quartile Volume portion of the script segments price/volume intervals by quartile.
The image above shows features of the indicator.
For statistics, the following metrics are recorded:
First Quartile
Second Quartile
Third Quartile
90th Percentile
Fourth Quartile
Q2 - Q1 Dispersion
Q3 - Q2 Dispersion
Q4 - Q3 Dispersion
Quartile Deviation
Interquartile Range
Color-coordinated price bars (by volume quartiles)
The percent rank for the volume of the current bar
Avg. "n" bar return following "high" volume
Avg. "n" bar positive return following "high" volume
Avg. "n" bar negative following "high" volume
The script colors bars via gradient.
By default, bars are colored lime when volume for the interval is "high" (exceeds upper quartile thresholds). The greener the bar, the higher the volume for the interval.
Bars are colored red when volume for the interval is "low" (fails to exceed lower quartile thresholds). The redder the bar, the lower the volume for the interval.
Naturally, brownish-colored bars reflect a volume interval that concluded near the median.
The image above exemplifies the process. This feature might be useful to categorize / objectively define high-volume clusters, low-volume clusters, high-volume price moves, low-volume price moves, etc.
For greater precision, you can select to color bars by volume quartile they belong to.
The image above shows color-coordinated price bars. More details shown in the image.
Additionally, you can select to plot the quartile/percentile that a price bar belongs to on the chart.
The image above shows price bars numbered by the volume quartile they belong to.
The script will distinguish successive 90th percentile violations, superimpose a linear regression channel atop the data sequence, and record pertinent statistics.
The image above shows the process.
Lastly, the user can plot an anchored VWAP using a built-in time function.
The image above shows the anchored VWAP.
Range US Chart
A Range US chart operates irrespective of time and volume - simply - bars produce after a user-defined price move is achieved/exceeded in either direction. A range us chart produces “trend candles” and “reversal candles”. A reversal candle always moves against the most immediate bar; a trend candle always moves in favor of the most immediate bar. The user defines the dollar amount price must travel up/down for a trend candle to fulfill, and for a reversal candle to fulfill.
Note: if a “down reversal” candle (red) Is produced, it’s impossible for the next candle to also be a down reversal candle - for the downside move to continue the criteria for a down trend candle must be fulfilled. Similarly, if an “up reversal” candle (green) Is produced, it’s impossible for the next candle to also be an up reversal candle - for the upside move to continue, the criteria for an uptrend trend candle must be fulfilled. Consequently, Range US bars frequently trade at the same level for extended periods. This is intentional, as this chart type is theorized to “filter noise” (whether Range US charts fulfill this theory is to your discretion).
Lastly, if an up trend candle (green) is produced, the next candle cannot be up a reversal up candle - only a trend up candle or reversal down candle can produce - vice versa for a trend down candle (the subsequent candle cannot be a reversal down candle). In this sense, an uptrend continues on successive trend up candles; a down trend continues on successive trend down candles.
The image above exemplifies Range US chart functionality.
The lower-right stats table shows the requisite price move for a "Trend" candle to produce and for a "Reversal" candle to produce.
The default settings for this chart time automatically calculate the required "Trend" candle price move and the required "Reversal" candle price move. However, both settings are configurable.
The image above shows manually configured parameters for a trend bar and reversal bar to produce. This feature allows the user to replicate the Range US chart hosted on extrinsic charting platforms.
However, please consider that this script does not use tick data; 1-minute OHLC data is used for calculations.
Consequently, configuring the trend bar and reversal bar requirement too low may return inaccurate data. For instance, if you set trend candles to form after a $1 price move then trend candles will form if price moves up $1 from a green Range US bar or down $1 from a red Range US bar. This is sufficient for lower priced assets; however, if you were trading, for instance, Bitcoin - a $1 price move can happen numerous times in one minute. This script can’t plot bars and record data until a 1-minute bar closes and a new 1-minute bar opens. Further, if Bitcoin moves up $1 twenty times and down $1 twenty times in a 1-minute bar - your Range US chart will record such variations as one price move. This data is inaccurate and likely useless.
To counter this quandary, a warning message will appear if you configure trend bar price moves or reversal bar price moves too low.
The image above shows the concealable warning message.
The image above is a flow diagram (made with shaky hands) illustrating the Range US bar formation process.
A google search will return additional information on the Range US chart type.
Volume Aggregation Bars
TradingView user and member of the TradingView Discord server @ferreirajames informed me of the Volume Aggregation chart type. The user commented in the "Suggestions" channel for the TradingView Discord server asking for the Volume Aggregation chart type. As an interim fix, I tried my hand at recreating the process, which is available in this script.
Similar to the Range US chart type, Volume Aggregation bars aren’t bound to a time-axis; the bars form after a user-defined, cumulative amount of volume is achieved or exceeded. Consequently, once the cumulative amount of volume is achieved or exceeded - a bar is produced at the corresponding price level.
Underlying theory: The chat type is conducive to identifying price levels where traders are “trapped”. Whether the process adequately distinguishes this circumstance is to your discretion.
The image above exemplifies the Volume Aggregation chart type.
Regardless of the current price, Volume Aggregation bars for after a requisite amount of volume is achieved/exceeded. Tick data isn't used; therefore, remainder values are carry over.
By default, the script automatically calculates a proportional cumulative volume total to dictate the formation of Volume Aggregation bars. However, the cumulative threshold is configurable.
The image above shows Volume Aggregation bars forming subsequent a user-defined cumulative volume total being exceeded.
Note: This chart type uses OHLC data from the timeframe of your chart. Therefore, for instance, setting the volume threshold too low will produce inaccurate, useless data.
A warning message will appear for such occurrence.
Gaps
The indicator incorporates a "Gaps" chart type.
The image above shows accompanying features.
A list of all unfilled gaps is accessible - gaps for this list are sorted by distance from current price.
Partially filled gaps are displayed in the corresponding gap box - the percentage amount the gap was filled is also displayed.
Gap statistics show:
# of Gaps
# of Up Gaps
# of Down Gaps
Average # of bars to fill Up Gaps
Average # of bars to dill Down Gaps
Average Gap Up % increase
Average Gap Down % decrease
Cumulative % increase of all Up Gaps
Cumulative % decrease of all Down Gaps
Naturally, there may be gaps formed thousands of bars ago that aren't close to price. Showing these gaps on the chart will "scrunch" the y-axis and make prices indistinguishable.
I've added a setting that allows the user to hide gaps that are "n" % away from the current price. The gap, if unfilled, will reappear when price trades within the user-defined percentage.
The image above shows an example. There's an unfilled down gap that's "hidden" because the current price is a further % away from price than what I've specified in the settings (1%). When prices trade back within 1% of the gap - it will reappear.
The image above shows the process in action. Prices moved back within 1% (can be any %) of the gap; therefore, it reappeared on the chart.
You can also set the % distance a gap must achieve for it to be considered a gap, recorded and plotted. Additionally, you can select to "visualize" gaps. Similar to the Range US chart and the Volume Aggregation chart, this setting will bars reflecting the most recent sequence of gaps - date and percentage distance of the gap are superimposed atop the bar.
Let me know if there's anything else you'd like included!
Note: The initial compilation time for this script is.... high. However, once the script's compiled, calculation load times are quick and you can sift through assets and timeframes relatively quick.
There's also a setting to "Improve Load Times" in the user-inputs table. This setting only improves the load times for post-compilation calculations and plots. The initial compilation load time is unchanged. Simply, once the indicator has "first loaded", all subsequent loads are quick.
Thank you! (:
MFTA - Multi Timeframe AnalysisThis indicator plots moving averages from higher timeframes for increasing the probability of a successful trade without using multiple charts for the same ticker.
You can configure the desired higher timeframe (i.e. if you are using a 1 min chart you can plot the 5 Min time frame moving averages).
Background ZonesThis script provides up to 5 zones to apply background colors. This is especially useful for applying to indices such as USI:TICK , USI:ADD , and USI:VOLD , where certain levels provides significant meaning to market sentiment and directions. This script will give you the visual cue to help with your trading.
All levels and colors are fully customizable.
Enjoy~!!
Example:
iBox, Initial Balance | IB High, Low, Midpoint | OpeningThis Indicator will print basically 4 lines.
You have to understand the importance of the "Initial Balance" the first trading hour of Cash session is very important in trading stocks and indizes.
So you will get 4 lines:
Opening
Initial Balance High
Initial Balance Low
Initial Balance Midpoint/Halfback
Most indicators for Range Box, Opening Trade, Opening Range, Initial Balance, iBOX and "Ultimate Lines" will only use the timezone of the exchange or your own timezone. I'm living in europe and we have this daylight saving time change in Summer/Winter - which will cause problems with most of the existing indicators or at least will push you to change the times regularly.
Another important point: I really like to switch the indizes when trading on my mobile. So what will happen when you set up opening range for DAX at 09:00 and then switch to S&P500? All indicators I tried failed here - they will just draw a wrong line for SPX, NDX, DJI, FTSE, ASX etc. I fixed that and hard coded stock exchanges and ticker symbols into 3 main groups Initial Balance EU/US/Asia
For example we take DAX - XETRA DAX is opening at 09:00 MEZ (Europe/Berlin)
The Initial Balance is set during the H1 Candle from 09:00 - 09:59
Please be aware, that some cash indizes only deliver data to TradingView after the "opening auction" - so for Xetra DAX you have to book live data and often you will only see data at 09:02/09:03 after the opening auction.
So you will get different opening lines compared from cash to future or your CFD provider. Future and CFD should fit for 99%
The Opening Line will be drawn at exactly 09:00
IB High on the highest price during the H1 candle
IB Low on the lowest price during the H1 candle
IB Halfback is simple: (IB High + IB Low) / 2
The lines will be drawn from cash start until next day and will end 2 minutes before the next cash session will start again. Please make your own experience! Activate the indicator for a CFD or Future switch to M15 and watch the wicks around the 4 lines. Even in the night or the next morning before the next Initial Balance will be set.
For me the lines are valid for around 24 hours and often longer. That's why it's good to have the old lines on the chart too.
To-do:
Yesterday high / low / close / halfback (also for last week and month)
Labels for the lines - sometimes only the colors will confuse you - a simple label should be a benefit (IB_h, IB_l, IB_1/2, 1D_o)
Range Lines for Asia Range and Premarket Range - additionaly a parameter to disable premarket lines when premarket is trading in asia range.
Add Alert condition to get alerts after IB is set
If you have and thoughts, ideas or improvements, please send me an message or leave an comment!
Like i said, the stock exchanges and ticker symbols are hard coded and can be extended for all relevant assets.
Have fun and i really hope this indicator will help improving your trading experience!
SubCandleI created this script as POC to handle specific cases where not having tick data on historical bars create repainting. Happy to share if this serves purpose for other coders.
What is the function of this script?
Script plots a sub-candle which is remainder of candle after forming the latest peak.
Higher body of Sub-candle refers to strong retracement of price from its latest peak. Color of the sub-candle defines the direction of retracement.
Higher wick of Sub-candle refers to higher push in the direction of original candle. Meaning, after price reaching its peak, price retraced but could not hold.
Here is a screenshot with explanation to visualise the concept:
Settings
There is only one setting which is number of backtest bars. Lower timeframe resolution which is used for calculating the Sub-candle uses this number to automatically calculate maximum possible lower timeframe so that all the required backtest windows are covered without having any issue.
We need to keep in mind that max available lower timeframe bars is 100,000. Hence, with 5000 backtest bars, lower timeframe resolution can be about 20 (100000/5000) times lesser than that of regular chart timeframe. We need to also keep in mind that minimum resolution available as part of security_lower_tf is 1 minute. Hence, it is not advisable to use this script for chart timeframes less than 15 mins.
Application
I have been facing this issue in pattern recognition scripts where patterns are formed using high/low prices but entry and targets are calculated based on the opposite side (low/high). It becomes tricky during extreme bars to identify entry conditions based on just the opposite peak because, the candle might have originated from it before identifying the pattern and might have never reached same peak after forming the pattern. Due to lack of tick data on historical bars, we cannot use close price to measure such conditions. This leads to repaint and few unexpected results. I am intending to use this method to overcome the issue up-to some extent.
Smoother Momentum MACD w/ DSL [Loxx]Smoother Momentum MACD w/ DSL uses two different EMA calculations to derive momentum and then calculates the MACD between those momentum outputs. This indicator uses a variation of Discontinued Signal Lines for the breakout/breakdown/reversal signals . There are three different signal types: middle, levels, and slope. I've also added alerts and signals. The discontinued signal lines can be smoothed using EMA or Fast EMA.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Loxx's Expanded Source Types
Alerts
Signals
Bar coloring
Other momentum indicators
CFB-Adaptive Velocity Histogram
Variety-Filtered, Squeeze Moving Averages
William Blau Ergodic Tick Volume Indicator (TVI)
Fourier Extrapolation of Variety Moving Averages [Loxx]Fourier Extrapolation of Variety Moving Averages is a Fourier Extrapolation (forecasting) indicator that has for inputs 38 different types of moving averages along with 33 different types of sources for those moving averages. This is a forecasting indicator of the selected moving average of the selected price of the underlying ticker. This indicator will repaint, so past signals are only as valid as the current bar. This indicator allows for up to 1500 bars between past bars and future projection bars. If the indicator won't load on your chart. check the error message for details on how to fix that, but you must ensure that past bars + futures bars is equal to or less than 1500.
Fourier Extrapolation using the Quinn-Fernandes algorithm is one of several (5-10) methods of signals forecasting that I'l be demonstrating in Pine Script.
What is Fourier Extrapolation?
This indicator uses a multi-harmonic (or multi-tone) trigonometric model of a price series xi, i=1..n, is given by:
xi = m + Sum( a*Cos(w*i) + b*Sin(w*i), h=1..H )
Where:
xi - past price at i-th bar, total n past prices;
m - bias;
a and b - scaling coefficients of harmonics;
w - frequency of a harmonic ;
h - harmonic number;
H - total number of fitted harmonics.
Fitting this model means finding m, a, b, and w that make the modeled values to be close to real values. Finding the harmonic frequencies w is the most difficult part of fitting a trigonometric model. In the case of a Fourier series, these frequencies are set at 2*pi*h/n. But, the Fourier series extrapolation means simply repeating the n past prices into the future.
This indicator uses the Quinn-Fernandes algorithm to find the harmonic frequencies. It fits harmonics of the trigonometric series one by one until the specified total number of harmonics H is reached. After fitting a new harmonic , the coded algorithm computes the residue between the updated model and the real values and fits a new harmonic to the residue.
see here: A Fast Efficient Technique for the Estimation of Frequency , B. G. Quinn and J. M. Fernandes, Biometrika, Vol. 78, No. 3 (Sep., 1991), pp . 489-497 (9 pages) Published By: Oxford University Press
The indicator has the following input parameters:
src - input source
npast - number of past bars, to which trigonometric series is fitted;
Nfut - number of predicted future bars;
nharm - total number of harmonics in model;
frqtol - tolerance of frequency calculations.
Included:
Loxx's Expanded Source Types
Loxx's Moving Averages
Other indicators using this same method
Fourier Extrapolator of Variety RSI w/ Bollinger Bands
Fourier Extrapolator of Price w/ Projection Forecast
Fourier Extrapolator of Price
Loxx's Moving Averages: Detailed explanation of moving averages inside this indicator
Loxx's Expanded Source Types: Detailed explanation of source types used in this indicator
Sherry on Crypto - MACD ScalpingThis indicator is originally made by someone else, I just modified it to increase its win rate.
How to use this indicator?
Step 1: This indicator only works in 5 minutes timeframe (BTC) . Apply 5 minutes timeframe in Tradingview.
Step 2: Apply 2 EMA(s), 1st EMA length 50, 2nd EMA length 200.
Step 3: Draw support and resistance and understand price action as well.
Step 4: Use RSI along with this indicator.
Strategy: When you see a down tick on the MACD in 5 minutes timeframe,
you are allow to take a long position. When you see an up tick on the MACD in 5 minutes timeframe, you are allow to take a Short position,
but RSI should be Included (you can do your own settings of RSI).
Recommended TP 0.50 and SL 0.40.
Beta CalculatorBeta is a measure of an asset's volatility relative to the market (the S&P500 is the most widely used index for this). A beta of 1 indicates that the asset moves exactly like the market, a beta < 1 indicates that the asset is less volatile than the market, and a beta > 1 means that the asset amplifies market movements.
This tool is used to calculate easily the Beta coefficient of an asset using 4 parameters :
- Symbol : The Asset's Ticker
- Reference : The Market Index Ticker
- Lookback Candles : The number of candles to include in the calculation
- (Implict) Resolution : The timeframe you are using, defines the precision
Listado CCL - price of the dollar in ArgentinaThis Script print different CCL values (Argentinian dolar).
Each value is based in a different Ticker and is calculated based in ADRs and local stocks using the corresponding formula.
The Script can be used regardless of the ticker used in the Design.
The values are calculated based on the close value of the last bar.
Was not taken into account the opperated volume, therefore it is important not to make investment decisions based on the information provided by this script.
threengine_global_automation_libraryLibrary "threengine_global_automation_library"
A collection of functions used for trade automation
getBaseCurrency()
Gets the base currency for the chart's ticker. Supported trade pairs are USD, USDT, USDC, BTC, and PERP.
Returns: Base currency as a string
getChartSymbol()
Get the current chart's symbol without the base currency appended to it. Supported trade paris are USD, USDT, USDC, BTC, and PERP.
Returns: Ssymbol and base currency
getDecimals()
Calculates how many decimals are on the quote price of the current market
Returns: The current deimal places on the market quote price
checkVar()
Plot a string as a label on the chart to test variable value. Use str.tostring() for any variable that isn't a string.
Returns: Label with stringified variable
getStrategyAlertMessage()
Generates stringified JSON for a limit order that can be passed to the strategy alert_message for a long entry.
Returns: Stringifed JSON for a long entry
taGetAdx()
Calculates the Average Directional Index
Returns: The value of ADX as a float
taGetEma()
Calculates the EMA based on a type, source, and length. Supported types are EMA, SMA, RMA, and WMA.
Returns: The value of the selected EMA
isBetweenTwoTimes()
Checks to see if within a rage based on two times
@retunrs true/false boolean
getAllTradeIDs()
This gets all closed trades and open trades
@retunrs an array of all open and closed trade ID's
getOpenTradeIDs()
This gets all open trades
@retunrs an array of all open trade ID's
orderAlreadyExists()
This checks to see if a provided order id uses the getAllTradeIDs() function to check
@retunrs an array of all open and closed trade ID's
orderCurrentlyExists()
This checks to see if a provided order id uses the getAllTradeIDs() function to check
Returns: an array of all open and closed trade ID's
getContractCount()
calulates the number of contracts you can buy with a set amount of capital and a limit price
Returns: number of contracts you can buy based on amount of capital you want to use and a price
getLadderSteps()
Returns: array of ladder entry prices and amounts based on total amount you want to invest across all ladder rungs and either a range between ladderStart and LadderStop based on specificed number of ladderRungs OR ladderStart, ladderRungs, and LadderSpacingPercent
Binance Big Open Interest Delta Change v2 Note: This script will only work properly with Binance Futures symbols.
This script simply looks at the open interest for the symbol you are currently viewing and determines if a large change in open interest has occurred, which triggers a background color alert.
It does this by comparing the absolute value of the range of the current open interest bar with a simple average (length set by user) of the past x range. The user also determines what is considered a 'large' change in open interest by setting a multiplier with which the current range must exceed compared to the average range in order to trigger an alert.
If the change in open interest is an increase in OI, the alert is blue, and if the change in open interest is a decrease, the alert is orange.
The open interest ticker that is used for calculation is derived by adding the current ticker and "_OI" so that it auto changes each time you switch to a new Binance futures contract.
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
________________________________________________________________
Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
Haydens RSI CompanionPreface: I'm just the bartender serving today's freshly blended concoction; I'd like to send a massive THANK YOU to all the coders and PineWizards for the locally-sourced ingredients. I am simply a code editor, not a code author. The book that inspired this indicator is a free download, plus all of the pieces I used were free code from the community; my hope is that any additional useful development of The Complete RSI is also offered open-source to the community for collaboration.
Features: Fibonacci retracement plus targets. Advanced dual data ticker. Heiken Ashi or bar overlay. Hayden, BarefootJoey, Tradingview, or Custom watermark of choice. Trend lines for spotting wedges, triangles, pennants, etc. Divergences for spotting potential reversals and Momentum Discrepancy Reversal Point opportunities. Percent change and price pivot labels with advanced data & retracement targets upon hover.
‼ IMPORTANT: Hover over labels for advanced information, like targets. Google & read John Hayden's "The Complete RSI" pdf book for comprehensive instructions before attempting to trade with this indicator. Always keep an eye on higher/stronger timeframes. See the companion oscillator here:
⚠ DISCLAIMER: DYOR. Not financial advice. Not a trading system. I am not affiliated with TradingView or John Hayden; this is my own personally PineScripted presentation of a suitable RSI chart companion to use when trading according to Hayden's rules.
About the Editor: I am a former-FINRA Registered Representative, inventor/patent-holder, and self-taught PineScripter. I mostly code on a v3 Pinescript level so expect heavy scripts that could use some shortening with modern conventions.
