ALMA stdev band with fibsArnaud Legoux Moving Average with standard deviation band and standard deviation Fibonacci levels.
Standard deviation band is alma + stdev and alma - stdev.
Fibonacci levels are alma + stdev * fib ratio and alma - stdev * fib ratio (0.382 / 0.5 / 0.618 / 1.618 / 2.618).
Used like a moving average, but also shows probable price range based on past volatility, and helps to recognize support/resistance levels, trends and trend momentum based on the Fibonacci levels.
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Adaptive, One More Moving Average (OMA) [Loxx]Adaptive, One More Moving Average (OMA) is an adaptive moving average created by Mladen Rakic that changes shape with volatility and momentum
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
Traling.SL.TargetTrailing SL and Target
I have seen few requests in PineScripters telegram group asking questions about implementation of trailing stop-loss (SL) and targets. This script is one of the way to implement the same.
This script is developed based on dark color theme and is best viewed using dark color theme.
How and where can this script be used:
The script is built to demonstrate how one can implement the trailing SL and target, so by referring the script one can mimic the approach and add trailing SL and target implementation in their own strategy.
How it works:
To demonstrate the SL and target implementation, i have considered simple EMA crossover strategy.
Key Input Parameters
Method to use for SL/Target trailing:
1. % Based Target and SL - Used to calculate trailing based on parameters defined under group '% Based Target SL'
2. Fixed point Based Target and SL - Used to calculate trailing based on parameters defined under group 'Fixed point Based Target and SL'
% Based Target and SL:
Initial profit % - This is used to calculate target when trade is initiated
Initial SL % - This is used to calculate SL when trade is initiated
Initiate trailing % - This parameter determines, when to start trailing SL and target.
Trail profit by % - Target would be trailed by % specified as this parameter
Trail SL by % - SL would be trailed by % specified as this parameter
e.g.
Trade type: - Long
Trade price: 10000
initial profit %: 1
Initial SL %: 1
Initiate trailing %: 0.5
Trail profit by %: 0.3
Trail SL by %: 0.4
Calculations based on above:
initial profit %: 10100 (trade price + 1%)
Initial SL %: 9900 (trade price - 1%)
Initiate trailing %: 10049.5 (initial profit - 0.5%)
Trail profit by %: 10130 (initial profit + 0.3%)
Trail SL by %: 9939.6 (initial SL + 0.4%)
For next iteration of Trailing SL and target above calculated values will be taken as a base and next set of values will be calculated. these calculations will continue till the trade is exited either on price reaching profit or SL point.
Fixed point Based Target and SL:
Initial profit target points - To derive initial target, parameter value is added to trade price in case of long trade.
Initial SL points - To derive SL point, parameter value is subtracted from trade price
Initiate trailing points - To derive start of trailing logic, parameter value is subtracted from initial profit point.
Trail profit by points - In case of long trade, parameter value is added to the profit target to derive new trailed profit target.
Trail SL by % - In case of long trade, parameter value is added to the SL initial point to derive new trailed SL.
Calculation of Trailing SL and target will continue till the trade is exited either on price reaching profit or SL point.
Plots displayed on the chart:
Apart from default trade markings i have added 3 shapes on the chart to describe working of Trailing SL and targets.
Diamond shape marks - These are added on the chart when trade is initiated. These shapes gives additional trade information by way of 'tooltip'. This information can be viewed by placing mouse pointer on the shape.
Circle shape marks - These are added on the chart whenever Trailing SL and targets are calculated. These shapes gives additional trade information by way of 'tooltip'. This information can be viewed by placing mouse pointer on the shape. You will also notice a number displayed just above or below circle denoting Trailing iteration.
Labels up and label down shapes - These are dynamically placed on the chart whenever trade is in progress. These labels will display ongoing trades, Target and SL points.
Multiple MAs + No Trend Zone + ATR WidgetThis is my first Pine Script attempt. Nothing special, just an "all in one" for the most common things I use, and what I have found to be the most common in a lot of strategies.
Great for free and limited accounts as it combines 7 total indicators into one.
-- First 5 indicators are Independant Moving Averages:
-Each one can be set for length, as well as source and type (SMA, EMA, SMMA, WMA, VWMA) individually
-- Second type (6th) of indicator is one I find extremly useful for staying OUT of consolidation trading. It's called a "No Trend Zone" indicator I swipped from the Hoffman Startegy. Basically, its set for a small deviation (0.5) of a 35 EMA, which creates a "Band" around the 35 line. When you have this "Band" flat or with no discernable incline/decline, with price action OR some or multiple moving averages inside this banded zone, it typically indicates a zone of consolidation. This will help you identify when you may be in one of those zones, that way you don't get trapped "waiting for paint to dry" before the market starts to move again with your position, and keep you from entering should you be considering the market at that time.
The last indicator is my favorite, and one I will refine a little deeper soon.
-- The ATR widget finishes us out. This widget can be customized for colors, turned on or off, and automatically rounds the ATR (ATR period based on the chart timeframe) to a nice readable number for what you're trading. It has settings to show or not, the length, what rounding style to use (forex pip 0.0001, forex/stock/etf/indicies 0.01) where to show it on the pane, a Multiplier Factor (for stop loss calculations automatically) and the colors.
***NOTE ABOUT ATR WIDGET:
I am primarily a forex trader, so the defaults are for Forex 0.0001. If you see some odd numbers (like 55798 on a current chart), check the inputs tab on the settings, and change the "ATR Style" from "Forex 0.0001" to "Forex/Stock/ETF/Indicies 0.01", and you should arrive with the correct number.
MTF previous high and low quarter levelsDescription
An experimental script that prints quarter levels of the previous timeframe's high and low to the current timeframe. The idea is quite simple and is basically the Fibonacci pivoted on the previous high and low with quarter level settings (0,0.25,0.5,0.75,1 etc). The default setting is the previous daily high and low but can be customized on user discretion.
New quarter levels are printed after the close of the previous timeframe and open of the new timeframe (user's timeframe setting)
How To Use
Levels should not be used blindly. Levels can be used as confluence when aligned with high probability supply and demand zones, support, resistance, order blocks, and so on.
Credit to @HeWhoMustNotBeNamed for the Previous High/Low MTF indicator code and @mrbirman for the idea to put this together.
MTF Pivots Zones [tanayroy]Dear Fellow Traders,
I only publish scripts that I use and found good for my trading. Pivots are my favorite indicator. I use daily, weekly, monthly, quarterly, and yearly pivots levels. multiple pivot zones are very strong levels and I like to watch these levels for possible price action.
But when I include all pivots levels at a time, my charts get too clumsy. To see price action properly, you need a clean chart. And when we trade we want to see only important levels within the price horizon.
To resolve this, I created this script, which shows important levels within my display option. I control the display option with 14 periods ATR and a multiplier to adjust the display levels.
The following chart displays levels within 14 ATR * 0.5 multipliers. As the price progress, it will automatically add levels and delete levels that do not come within this option.
What levels are included?
I have used traditional pivot calculation and included Daily, Weekly, Monthly, Quarterly, and Yearly pivots with high and low.
What options are available?
You can replace the yearly timeframe with your desired time frame and can adjust the ATR multiplier to increase or decrease display levels.
Use this in 5m, 15m, or 1H chart or any timeframe below Daily.
Please like, share, and comment.
KINSKI Multi Trend OscillatorThe Multi Trend Oscillator is a tool that combines the ratings of several indicators to facilitate the search for profitable trades. I was inspired by the excellent indicator "Technical Ratings" from Team TradingView to create an alternative with a technically new approach. Therefore, it is not a modified copy of the original, but newly conceived and implemented.
The recommendations of the indicator are based on the calculated ratings from the different indicators included in it. The special thing here is that all settings for the individual indicators can be changed according to your own needs and displayed as a histogram and MA line. This provides an excellent visual control of your own settings. Alarms are also triggered.
Criteria for determining the rating
Relative Strength Index (RSI)
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Relative Strength Index (RSI) Laguerre
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Noise free Relative Strength Index (RSX)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Money Flow Index (MFI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Commodity Channel Index (CCI)
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Moving Average Convergence/Divergence (MACD)
Buy - values of the main line > values of the signal line and rising
Sell - values of the main line < values of the signal line and falling
Neutral - neither Buy nor Sell
Klinger
Buy - indicator >= 0 and rising
Sell - indicator < 0 and falling
Neutral - neither Buy nor Sell
Average Directional Index (ADX)
Buy - indicator > 20 and +DI line crosses over the -DI line and rising
Sell - indicator > 20 and +DI line crosses below the -DI line and falling
Neutral - neither Buy nor Sell
Awesome Oscillator
Buy - Crossover 0 and values are greater than 0, or exceed the zero line
Sell - Crossunder 0 and values are lower than 0, or fall below the zero line
Neutral - neither Buy nor Sell
Ultimate Oscillator
Buy - Crossover oversold level and indicator < oversold level and rising
Sell - Crossunder oversold level and indicator >= oversold level and falling
Neutral - neither Buy nor Sell
Williams Percent Range
Buy - Crossover Oversold Level and Indicator < Oversold Level and rising
Sell - Crossunder Oversold Level and Indicator >= Oversold Level and falling
Neutral - neither Buy nor Sell
Momentum
Buy - Crossover 0 and indicator levels rising
Sell - Crossunder 0 and indicator values falling
Neutral - neither Buy nor Sell
Total Ratings
The numerical value of the rating "Sell" is 0, "Neutral" is 0 and "Buy" is 1. The total rating is calculated as the average of the ratings of the individual indicators and are determined according to the following criteria:
MaxCount = 12 (depending on whether other oscillators are added).
CompareSellStrong = MaxCount * 0.3
CompareMid = MaxCount * 0.5
CompareBuyStrong = MaxCount * 0.7
value <= CompareSellStrong - Strong Sell
value < CompareMid and value > CompareSellStrong - Sell
value == 6 - Neutral
value > CompareMid and value < CompareBuyStrong - Buy
value >= CompareBuyStrong - Strong Buy
Understanding the results
The Multi Trend Oscillator is designed so that its values fluctuate between 0 and currently 12 (maximum number of integrated indicators). Its values are displayed as a histogram with green, red and gray bars. The bars are gray when the value of the indicator is at half of the number of indicators used, currently 12. Increasingly saturated green bars indicate increasing values above 6, and increasingly saturated red bars indicate increasingly decreasing values below 6.
The table at the end of the histogram shows details (can be activated in the settings) about the overall rating and the individual indicators. Its color is determined by the rating value: gray for neutral, green for buy or strong buy, red for sell or strong sell.
The following alarms are triggered:
Multi Trend Oscillator: Sell
Multi Trend Oscillator: Strong Sell
Multi Trend Oscillator: Buy
Multi Trend Oscillator: Strong Buy
LengthAdaptationCollection of dynamic length adaptation algorithms. Mostly from various Adaptive Moving Averages (they are usually just EMA otherwise). Now you can combine Adaptations with any other Moving Averages or Oscillators (see my other libraries), to get something like Deviation Scaled RSI or Fractal Adaptive VWMA. This collection is not encyclopaedic. Suggestions are welcome.
chande(src, len, sdlen, smooth, power) Chande's Dynamic Length
Parameters:
src : Series to use
len : Reference lookback length
sdlen : Lookback length of Standard deviation
smooth : Smoothing length of Standard deviation
power : Exponent of the length adaptation (lower is smaller variation)
Returns: Calculated period
Taken from Chande's Dynamic Momentum Index (CDMI or DYMOI), which is dynamic RSI with this length
Original default power value is 1, but I use 0.5
A variant of this algorithm is also included, where volume is used instead of price
vidya(src, len, dynLow) Variable Index Dynamic Average Indicator (VIDYA)
Parameters:
src : Series to use
len : Reference lookback length
dynLow : Lower bound for the dynamic length
Returns: Calculated period
Standard VIDYA algorithm. The period oscillates from the Lower Bound up (slow)
I took the adaptation part, as it is just an EMA otherwise
vidyaRS(src, len, dynHigh) Relative Strength Dynamic Length - VIDYA RS
Parameters:
src : Series to use
len : Reference lookback length
dynHigh : Upper bound for the dynamic length
Returns: Calculated period
Based on Vitali Apirine's modification (Stocks and Commodities, January 2022) of VIDYA algorithm. The period oscillates from the Upper Bound down (fast)
I took the adaptation part, as it is just an EMA otherwise
kaufman(src, len, dynLow, dynHigh) Kaufman Efficiency Scaling
Parameters:
src : Series to use
len : Reference lookback length
dynLow : Lower bound for the dynamic length
dynHigh : Upper bound for the dynamic length
Returns: Calculated period
Based on Efficiency Ratio calculation orifinally used in Kaufman Adaptive Moving Average developed by Perry J. Kaufman
I took the adaptation part, as it is just an EMA otherwise
ds(src, len) Deviation Scaling
Parameters:
src : Series to use
len : Reference lookback length
Returns: Calculated period
Based on Derivation Scaled Super Smoother (DSSS) by John F. Ehlers
Originally used with Super Smoother
RMS originally has 50 bar lookback. Changed to 4x length for better flexibility. Could be wrong.
maa(src, len, threshold) Median Average Adaptation
Parameters:
src : Series to use
len : Reference lookback length
threshold : Adjustment threshold (lower is smaller length, default: 0.002, min: 0.0001)
Returns: Calculated period
Based on Median Average Adaptive Filter by John F. Ehlers
Discovered and implemented by @cheatcountry:
I took the adaptation part, as it is just an EMA otherwise
fra(len, fc, sc) Fractal Adaptation
Parameters:
len : Reference lookback length
fc : Fast constant (default: 1)
sc : Slow constant (default: 200)
Returns: Calculated period
Based on FRAMA by John F. Ehlers
Modified to allow lower and upper bounds by an unknown author
I took the adaptation part, as it is just an EMA otherwise
mama(src, dynLow, dynHigh) MESA Adaptation - MAMA Alpha
Parameters:
src : Series to use
dynLow : Lower bound for the dynamic length
dynHigh : Upper bound for the dynamic length
Returns: Calculated period
Based on MESA Adaptive Moving Average by John F. Ehlers
Introduced in the September 2001 issue of Stocks and Commodities
Inspired by the @everget implementation:
I took the adaptation part, as it is just an EMA otherwise
doAdapt(type, src, len, dynLow, dynHigh, chandeSDLen, chandeSmooth, chandePower) Execute a particular Length Adaptation from the list
Parameters:
type : Length Adaptation type to use
src : Series to use
len : Reference lookback length
dynLow : Lower bound for the dynamic length
dynHigh : Upper bound for the dynamic length
chandeSDLen : Lookback length of Standard deviation for Chande's Dynamic Length
chandeSmooth : Smoothing length of Standard deviation for Chande's Dynamic Length
chandePower : Exponent of the length adaptation for Chande's Dynamic Length (lower is smaller variation)
Returns: Calculated period (float, not limited)
doMA(type, src, len) MA wrapper on wrapper: if DSSS is selected, calculate it here
Parameters:
type : MA type to use
src : Series to use
len : Filtering length
Returns: Filtered series
Demonstration of a combined indicator: Deviation Scaled Super Smoother
Trend Follower Strategy v2 [divonn1994]The Trend Follower Strategy that I made classifies red and green candles into tiny, small, and big sizes and will send buy or sell signals depending on if the candle is classified as "big" so you get into and out of a position when there is a big candle. Out during a big green candle to take profit. Out during a big red candle in case the market is turning down. It also won't enter a position unless there is positive EMA momentum.
For the chart there is a Buy and a Sell signal. Buy = 1, Sell = 0, and when the value crosses above or below 0.5 it will trigger a long position or close the long position. The graph isn't necessary to the strategy, but can help with visualizing the trade patterns in the past if you like.
This strategy works best so far with these coins at time of posting (March 4th, 2022):
KCSUSDT (621x profit), HTUSDT (45x profit), LUNAUSDT (45x profit), BNBBTC (1553x profit), ETHBTC (219x profit), KCSBTC (1222x profit), LUNABTC (83x profit), FTMBTC (52x profit).
It can work with other pairings, but I personally like these pairings best. I didn't test it with coins outside of the top 100 coins by market cap. Use it however you want.
Works best on 1 Day charts.
The strategy would rather be in the market than out. It gets out when it see's a red flag, but can immediately go back in in the next bar if the red flags are all gone. So it makes a lot of trades.
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Update: This is the same strategy I uploaded before but I made the code Open for anyone to check it out and so it has a similar description as the previous version. Let me know what you think. I'd remove the old version if I could, but I guess it's site policy to not be able to remove scripts that have been uploaded.
SuperTrended Moving AveragesA different approach to SuperTrend:
adding 100 periods Exponential Moving Average in calculation of SuperTrend and also 0.5 ATR Multiplier to have a clear view of the ongoing trend and also provides significant Supports and Resistances.
Default Moving Average type set as EMA (Exponential Moving Average) but users can choose from 11 different Moving Average types as:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
Credits going to @CryptoErge for sharing his development to public.
Trending Bar SRTrending Bar SR is a simple script define a Bar called "Trending Bar".
Depend on direction of Trending Bar, if Trending Bar is UpTrend then this indicator plot Bar's Low Price as Support and if Trending Bar is DownTrend then it plot Bar's High Price as Resistance.
Beside, this indicaor also plot 4 levels retracement of Trending Bar for trading.
1. Define Trending Bar
1.1 Uptrend Bar
+ Close Price higher than previous High Price
+ Body greater than sum of shadows (up and down)
+ Color: A green dot is plotted at bottom chart.
1.2 Downtrend Bar
+ Close Price lower than previous Low Price
+ Body greater than sum of shadows (up and down)
+ Color: A red dot is plotted at bottom chart.
2. Retracement Level
+ Trending Bar Retracement 0.5 is called Equerium.
+ Trending Bar Retracement 0.618 is called Perfect Entry.
+ Trending Bar Retracement 0.705 is called Optimal Entry.
+ Trending Bar Retracement 0.79 is called Max Entry.
3. Trading
+ When Price crossed Equerium, consider open position at Perfect Entry, Optimal Entry with stoploss place at Max Entry.
+ If place order at Max Entry, stoploss can place at Support or Resistance.
Volume Spike Retracement█ OVERVIEW
-Following many people's request to add "Volume" mode again in my "Institutional OrderBlock Pressure" script. I decided to release an improved
and full-fledged script. This will be the last OB/Retracement script I will release as we have explored every possible way to find them.
█ HOW TO INTERPRET?
-The script uses the the 0.5 Pivot and the maximum value set for Volume Length to find 'Peak Volume'. Once these conditions are met,
the script starts creating a Retracement Line.
-By default, the Volume Length value is set to 89, which works well with most Timeframes following the OrderBlocks/Retracements
logic used in my scripts.
-You have the option to set Alerts when the "Volume Spike Limit" is reached or when a Price Crossing with a Line occurs.
█ NOTES
- Yes Alerts appear instantly. Moreover, they are not 'confirmed', you must ALWAYS wait for confirmation before making a choice.
Good Trade everyone and remember, risk management remains the most important!
Session Levels - Ultimate Range IndicatorSession Levels - Ultimate Range Indicator
Primarily developed for trading the E-MINI Futures Markets like NQ or ES from the CME Group,
but also more than suitable for Crypto or other instruments.
This indicator highlights the chosen session, which can be Globex, Asian, London and New York.
It plots the important levels and also renders the Opening Range as it forms (a.k.a. Initial Balance).
After the 1st hour Opening Range is finished, it can plot the Standard Deviations / Projections.
See below for a complete feature list.
All Opening Ranges on chart and for the New York session the Range Projections are turned on:
s3.tradingview.com
How to use (example):
If you are trading the Nasdaq Futures (NQ!)
Enable the Globex Overnight session. Basically in the Futures Market, the Globex session is everything outside of US trading hours of Stocks. This draws the important overnight levels, like the Low, 25%, 50%, 75% and the High.
Enable the New York Session with Levels and Opening Range. Generally, 70% of the time the 1st hour will put a Low or High of the day.
If the price is trading above the Globex Low, most likely the Low of the Day is formed and the price target for the day will be 1.5x Standard Deviation and 2x Standard Deviation.
[*} Deviation of the Initial Balance depends on the volume ad overall market structure.
** This is not financial advice or any guarantee **
Features:
Show each Session Highlighted on Intraday chart in it's own color (each session can be turned off and has customizable times and color)
Show Line Levels of each session: Low, 25%, 50%, 75% and the High (customizable color)
Show the Opening Range (Initial Balance) of the Asian, London and New York session. Note: NY has more options.
Opening Range is displayed as a box with level lines (customizable color)
Levels are drawn to the end of the NY Cash session (customizable time)
Show IB Standard Deviations 0.5 - 3.0. Calculated from the Opening Range (Initial Balance)
Option to display Higher Timeframe levels: Previous Day Open/Close and Previous Week Open/Close
All level lines and OR boxes size dynamically as the session progresses
Built in Alerts for when price hits key levels. e.g. Alert when price crosses the NY Opening Range High. Or an Alert when the first STDEV is hit.
Option to toggle display of drawings for Today's trading session only, or Show all recent session levels. This keeps the chart clean or not.
Extras:
The NY Opening Range also has a 50% level line
The NY Opening Bar can be highlighted separately
The Level Lines can have small labels turned on/off. Values are only shown on mouse over to keep a clean chart
Keep in mind:
1) This indicator works on all instruments, but on instruments with limited market hours, your chart setting
has to be set to "Extended Hours" otherwise. For example TSLA on NASDAQ.
2) The Exchange Time Zone for the CME Group is Chicago UTC-6. So the session times you configure in the settings menu are based on that timezone too.
3) Globex opens at 5pm CST and closes when the US session starts 8:30CST.
4) When enabling the Alerts in the Indicator settings, be sure to also create an alarm for this indicator using the Alarm function of Tradingview.
Simple/Compounded Returns & Drawdowns TableVery excited to bring this script to the public. This is a very useful table that displays the performance of any strategy you give it in a more detailed view. It runs on all timeframes and at any position on the chart with the replay function. It also updates on tick changes. The table consists of three modes: Simple Equity, Compound Equity and Drawdown.
Simple Equity – shows the change in equity for every month and year. It is calculated by finding the difference in initial equity at the beginning of the month/year and the end of the month/year. The table will thus display strategy performance in blocks of time that are not correlated. It is an excellent way to see individual month/year performance from start to finish but it may not represent true change in equity over time. For example, let's assume that 100% of equity is used on every trade for simplicity. If a loss of 50% is made in the first month and a profit of 100% is made in the next month, the strategy will show 50% profit for the year. This aggregate value might be helpful to know for testing purposes, but in reality, the account is actually at break-even for the year (Initial Equity * 0.5 * 2 = Initial Equity).
Compound Equity – shows compounded change in equity for every month and year. It is calculated by finding the difference in starting equity when the strategy is run and equity at the end of the month/year. The table will thus display the true strategy performance – compounded equity at the end of each month/year.
Drawdown – shows max drawdown for every month and year. It is calculated by finding the difference between the highest equity achieved for the month/year and the trough in equity for the same month/year. Notice: strategy tester might have a max drawdown value higher than any of the drawdown values in the table. This is because the strategy tester calculates the difference between the highest and lowest equity for the entire strategy, whereas the table displays drawdowns for months and years only. Sometimes, the max drawdown for the year will also be the max drawdown for the entire strategy; hence the two values will be the same.
To use this table with your own strategy, simply find " PLACE YOUR STRATEGY CODE HERE " at the bottom of the script and place your strategy code there. Special thanks to QuantNomad for the inspiration. As always, please let me know if there are any bugs or if you need some help. Leave a like if you wish!
PureRebalanceLibrary "PureRebalance"
A rebalance function that is pure.
Depends only on its arguments to perform the necessary calculations.
rebalance(token_price, portfolio_token_amount, portfolio_fiat_amount, rebalance_ratio) Rebalances a portfolio made of tokens and fiat to a given ratio of tokens per fiat
Parameters:
token_price : The value of a single unit (1) token
portfolio_token_amount : The number of tokens in the portfolio
portfolio_fiat_amount : Fiat available in the portfolio
rebalance_ratio : The ratio of token value / fiat that the portfolio should have after the rebalance (0.5 is used if no argument is supplied).
Returns: The number of tokens to buy or sell in order to achieve the desired portfolio ratio passed as argument (a positive value is returned if the tokens are to be bought, and negative value if the tokens are to be sold).
ADX Screener// Identify potential trend reversals using ADX on up to 40 crypto assets.
// ADX shows the strength of a trend, not the direction.
// By monitoring the difference of ADX values between candles, you can potentially identify reversals before they happen.
// A strong trend has a 14 period ADX slope increasing .5 or more from the prior candle.
// At a minimum, a weak trend has a 14 period ADX slope of +.25 or less, and strictly it would be decreasing.
// This indicator prints one row for each asset with three columns for ADX differences one candle back each.
// The asset name is colored green or red dependent on whether +DI > -DI or not.
The market was in a down trend (-DI > +DI).
A bullish wave moved price up to EMA 8 resistance with strong ADX momentum (ADX diff of prior candle >= 0.5).
A Spinning Top showed that the trend was losing momentum (ADX diff lower than previous candle, showed the bullish wave losing momentum).
A Morning Star bearish reversal pattern draws resistance at the high of the pattern. (ADX Bullish momentum exhausted).
Symbol: -DI > +DI
2: Strong momentum
1: Losing momentum (spinning top)
0: Trend reversal (bearish engulfing pattern)
SuperTrend With EMA100First of all, SuperTrend Indicator is an indicator developed by KivancOzbilgic and I would like to thank him for sharing this indicator with open source code.
In this version of Supertrend, I wanted to determine the best reaction point for upcoming dips in uptrends.
The indicator is easy to use and gives an accurate reading about an ongoing trend. EMA was determined as the source.
There are 3 parameters that you can edit. These are the EMA length, ATR period and ATR Multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility .
I've found it's a bestreaction point when these values are set to 100, 10 and 0.5 respectively. I tried to show them in the graph.
Higher order Orderblocks + Breakerblocks + Range + AlertsThis script identifies Orderblocks, Breakerblocks and Range using higher order pivots and priceaction logic.
I tried to reduce the number of blocks to make the chart cleaner, for this purpose I use only second order pivots for both MSB lines and supply/demand boxes, I also tried to filter out shifts in MS and false breakouts.
Any box has GRAY color until it gets tested.
After successful test box gets colors:
RED for Supply
GREEN for Demand
BLUE for any Breakerblocks
For cleaner chart and script speed all broken boxes deletes from chart.
It gives comparatively clean chart on any TF, even on extra small (5m, 3m, 1m).
For Range there is option to plot 0.25, 0.5, 0.75 lines.
I usually use log scale on charts and there is an option to use it for proper range mean.
In previous my scripts i have requests to make alerts and this time i made it.
It has customizable alert catching all needed alerts into one output:
- Alert MSB - when market structure changes alert will inform you about its direction, MSB line and new Demand/Supply.
- Alert Orderblock or Breakerblock test - alerts when block was tested and it holds (in other words when it get RED/GREEN/BLUE colors)
- Alert New Range - when new range detected
- Alert Range test - alerts when range top or botoom was tested and it holds.
some examples :
Profit Percentage TrackerThis script provides a quick and easy way to visualize profits in a chart, based on the given entry date and price.
Optionally, alerts can be sent when profits cross up the given " profit unit ".
In short:
Tracks how much profit one could take based on the input " entry date " and the input " entry price "
These inputs are interactive (www.tradingview.com)
Displays the result in a label on top of the last candle
(Optional) Sends alerts based on the given " profit unit ", that is: if ' 0.5 ' is given, then an alert is triggered every time the profit is raised by that number
(Be careful with low values, as TradingView could stop an alert if it triggers too much.)
For alerts to be displayed, a " script alert " must be created right after the script was added to the chart:
- www.tradingview.com
(Choose ' Profits ' as condition and ' Any alert() function call ')
Good to know: if you check " Notify on app ", alerts can be delivered directly to your phone:
i.imgur.com
Prerequirements :
The chart's timezone has to be set to " Exchange " (this is required in order to support the alert's logic):
- kodify.net
[pp] Fib AlertsUsing the new input.price() function we can now automate our fibonacci tools a little better.
This tool is designed with the intention of trading off of a fibonacci level using alerts.
How to use:
1.Add the indicator to your chart.
2. Place the bottom price where you would normally start your fibonnaci drawing
3. Place the top price where you would normally end your fibonacci drawing
4. Set your alert syntax "buy alert message" and "sell alert message" Should be replaced with webhook configurations or something better.
5. Fibonacci values > 1 (ie. 0.382, 0.5, 0.618) are recognized as retracements and work well as buying opportunities. When the price crosses one of these levels the "buy alert message" alert will be immediately triggered ONCE per BAR (I may update this in the future so it can only trigger ONCE ever to avoid multiple orders)
6. Fibonacci values < 1 (ie . -0.113, -0.27) are recognized as extensions levels and work well as selling opportunities. When the price crosses one of these levels the "Sell alert message" alert will be triggered.
If anyone knows how to convert the fibonacci values to logarithmic values I would greatly appreciate insight.
Opening Range FibonaccisThis indicator uses the concept of the "Opening Range" to create a Fibonacci zone from the high and low set during a specific time period after open (Defaults to 9:30 - 10:05 AM, EST)
The Opening Range is a popular tool for intraday technical analysis. Price frequently uses these levels as support/resistance, and a breakout from within the range can be a sign of further movement.
The Fibonacci levels are set such that the opening range high/low fall on the +/-0.5 fib. This creates an "extended range" outside of the opening range that may be useful during breakouts.
Average Daily RangeRe-Re-upload!
There are a handful of decent Average Daily Range indicators out there.
Often they are built using Pinescript v2 (severely outdated) or have no customization or are "Closed Source"
In this version, you can select two multipliers to display on chart
Primary Mult - Large Green or Red crosses, by default set to 1 or 100% of ADR
Secondary Mult - Small Aqua or Maroon crosses, by default set to 0.5 or 50% of ADR
Cheers,
EFX
MathStatisticsKernelDensityEstimationLibrary "MathStatisticsKernelDensityEstimation"
(KDE) Method for Kernel Density Estimation
kde(observations, kernel, bandwidth, nsteps)
Parameters:
observations : float array, sample data.
kernel : string, the kernel to use, default='gaussian', options='uniform', 'triangle', 'epanechnikov', 'quartic', 'triweight', 'gaussian', 'cosine', 'logistic', 'sigmoid'.
bandwidth : float, bandwidth to use in kernel, default=0.5, range=(0, +inf), less will smooth the data.
nsteps : int, number of steps in range of distribution, default=20, this value is connected to how many line objects you can display per script.
Returns: tuple with signature: (float array, float array)
draw_horizontal(distribution_x, distribution_y, distribution_lines, graph_lines, graph_labels) Draw a horizontal distribution at current location on chart.
Parameters:
distribution_x : float array, distribution points x value.
distribution_y : float array, distribution points y value.
distribution_lines : line array, array to append the distribution curve lines.
graph_lines : line array, array to append the graph lines.
graph_labels : label array, array to append the graph labels.
Returns: void, updates arrays: distribution_lines, graph_lines, graph_labels.
draw_vertical(distribution_x, distribution_y, distribution_lines, graph_lines, graph_labels) Draw a vertical distribution at current location on chart.
Parameters:
distribution_x : float array, distribution points x value.
distribution_y : float array, distribution points y value.
distribution_lines : line array, array to append the distribution curve lines.
graph_lines : line array, array to append the graph lines.
graph_labels : label array, array to append the graph labels.
Returns: void, updates arrays: distribution_lines, graph_lines, graph_labels.
style_distribution(lines, horizontal, to_histogram, line_color, line_style, linewidth) Style the distribution lines.
Parameters:
lines : line array, distribution lines to style.
horizontal : bool, default=true, if the display is horizontal(true) or vertical(false).
to_histogram : bool, default=false, if graph style should be switched to histogram.
line_color : color, default=na, if defined will change the color of the lines.
line_style : string, defaul=na, if defined will change the line style, options=('na', line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_right, line.style_arrow_left, line.style_arrow_both)
linewidth : int, default=na, if defined will change the line width.
Returns: void.
style_graph(lines, lines, horizontal, line_color, line_style, linewidth) Style the graph lines and labels
Parameters:
lines : line array, graph lines to style.
lines : labels array, graph labels to style.
horizontal : bool, default=true, if the display is horizontal(true) or vertical(false).
line_color : color, default=na, if defined will change the color of the lines.
line_style : string, defaul=na, if defined will change the line style, options=('na', line.style_solid, line.style_dotted, line.style_dashed, line.style_arrow_right, line.style_arrow_left, line.style_arrow_both)
linewidth : int, default=na, if defined will change the line width.
Returns: void.
