MACD PlusMoving Average Convergence Divergence – MACD
The MACD is an extremely popular indicator used in technical analysis. It can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes the MACD so informative is that it is actually the combination of two different types of indicators. First, the MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, it takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
Added Color Plots to Settings Pane.
Switched MTF Logic to turn ON/OFF automatically w/ TradingView's Built in Feature.
Added Ability to Turn ON/OFF Show MacD & Signal Line.
Added Ability to Turn ON/OFF Show Histogram.
Added Ability to Change MACD Line Colors Based on Trend.
Added Ability to Highlight Price Bars Based on Trend.
Added Alerts to Settings Pane.
Customized Alerts to Show Symbol, TimeFrame, Closing Price, MACD Crosses Up & MACD Crosses Down Signals in Alert.
Alerts are Pre-Set to only Alert on Bar Close.
Added ability to show Dots when MACD Crosses.
Added Ability to Change Plot Widths in Settings Pane.
Added in Alert Feature where Cross Up if above 0 or cross down if below 0 (OFF By Default).
Squeeze Pro
Traditionally, John Carter's version uses 20 period SMAs as the basis lines on both the BB and the KC.
In this version, I've given the freedom to change this and try out different types of moving averages.
The original squeeze indicator had only one Squeeze setting, though this new one has three.
The gray dot Squeeze, call it a "low squeeze" or an "early squeeze" - this is the easiest Squeeze to form based on its settings.
The orange dot Squeeze is the original from the first Squeeze indicator.
And finally, the yellow dot squeeze, call it a "high squeeze" or "power squeeze" - is the most difficult to form and suggests price is under extreme levels of compression.
Colored Directional Movement Index (CDMI) , a custom interpretation of J. Welles Wilder’s Directional Movement Index (DMI), where :
DMI is a collection of three separate indicators ( ADX , +DI , -DI ) combined into one and measures the trend’s strength as well as its direction
CDMI is a custom interpretation of DMI which presents ( ADX , +DI , -DI ) with a color scale - representing the trend’s strength, color density - representing momentum/slope of the trend’s strength, and triangle up/down shapes - representing the trend’s direction. CDMI provides all the information in a single line with colored triangle shapes plotted on the bottom. DMI can provide quality information and even trading signals but it is not an easy indicator to master, whereus CDMI simplifies its usage. The CDMI adds additional insight of verifying/confirming the trend as well as its strength
Label :
Displaying the trend strength and direction
Displaying adx and di+/di- values
Displaying adx's momentum (growing or falling)
Where tooltip label describes "howto read colored dmi line"
Ability to display historical values of DMI readings displayed in the label.
Added "Expert Trend Locator - XTL"
The XTL was developed by Tom Joseph (in his book Applying Technical Analysis ) to identify major trends, similar to Elliott Wave 3 type swings.
Blue bars are bullish and indicate a potential upwards impulse.
Red bars are bearish and indicate a potential downwards impulse.
White bars indicate no trend is detected at the moment.
Added "Williams Vix Fix" signal. The Vix is one of the most reliable indicators in history for finding market bottoms. The Williams Vix Fix is simply a code from Larry Williams creating almost identical results for creating the same ability the Vix has to all assets.
The VIX has always been much better at signaling bottoms than tops. Simple reason is when market falls retail traders panic and increase volatility , and professionals come in and capitalize on the situation. At market tops there is no one panicking... just liquidity drying up.
The FE green triangles are "Filtered Entries"
The AE green triangles are "Aggressive Filtered Entries"
Cari dalam skrip untuk "ha溢价率"
DCA Bot Long/Short Thanks to @TheTradingParrot for the inspiration and knowledge shared.
Thanks to @ericlin0122 for the original DCA Bot Emulator which is the backbone of this strategy.
The script simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters
to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
I`ve added:
1) an internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
2) I`ve built a graphic interface, so levels are clearly visible and back-test analyzing made easier.
3) now both Long & Short direction of the strategy exist.
4) trailing TP which was featured in the initial script has been removed because TV`s execution model makes
it impossible to know how the real world trailing would have unfolded.
5) the table is self explanatory, and it is there to help you discover what happened and where.
6) vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
Known issues:
When deviation is small, and the same candle triggers safety AND the close order, the initial orders are closed, but a
new one opens on the next candle. This is "resolved" by closing the unwanted trade forcefully on the next candle, affecting
profit calculating minimally and guaranteeing that what should be closed has been closed.
The code could be improved through use of arrays, making the table flexible so the number of rows should be dynamic depending
on the number of SOs.
!!!!! IMPORTANT!!!!!
This strategy script is made to receive a signal from an exterior study script, which should plot +100 for long or -100 for short
entry (that is by default - values can be changed in the strategy settings menu). That plot should be found in "Enter Trigger" input
dropdown menu at the bottom of strategy settings menu. Removing the "and trigger == long/short_trigger" condition from strategy entry
conditions makes the strategy open trades ASAP.
Cheers!
Vigia blai5VIGÍA is the latest and current version of this weighted indicator that collects, combines and harmonizes the values of four other classic indicators: RSI, MFI, Bollinger Bands and Stochastic.
It is a 2nd Generation indicator, as it does not base its algorithm on pure price data, but on its evolution (volatility, volume differences, power variations, cycle phase ...) working from first generation indicators included and mixed in the algorithm.
With the RSI we detect current power or depletion; the MFI adds the harmonization between price and volume; Bollinger Bands warn us of positions in areas close to support and resistance, and Stochastic informs us of the favorable and unfavorable phases of its cycle. VIGÍA tries to gather all this information in a single value and signal. This is how the curve of this indicator emerges.
The layout of this curve is its own and different from that of the other four separately. But the key idea of this complex indicator is to harmonize the signals.
By "harmonizing" we mean that an exaggerated value of one of the individual indicators, being part of a set, is nuanced. On the other hand, a simultaneous good look in two or more, enhances the resulting signal making it more visible and clear for trading.
One of the main effects that I have tried to enhance in the various versions of VIGÍA is its geometry, so one of the best ways to operate the indicator is divergences, which are generally quite reliable.
But, unlike so many conventional indicators, VIGÍA allows us a relatively large number of operations, which can satisfy both lovers of the most daring techniques and those who are more prudent in their trading.
In the first place, the black line is properly the Watch Signal (SV), the soul and central element of this entire invention.
On it you will see that a red line is oscillating. It is an Exponential Average of the indicator itself (by default, value 20). It is of enormous interest for trading since the SV cuts on its Average can be taken as entry and exit signals. (To check it, you just have to check it on the history of any value or index).
But there are more elements. An important change is the transformation of fixed levels into variable trading bands. This system allows the environment to adapt to changes in the asset price, recognizing and transforming itself according to the trend or laterality phases through which it runs. The signal moves above and below a central zero value and (as always) with no extreme limits, because it is important to remember that VIGÍA is not an oscillator and that prevents it from reaching a predefined extreme and being 'keyed in'.
On the upper variable band, we enter the overload zone, in Vigía's own jargon, while under the lower variable band, the situation of the indicator is on discharge. It is interesting to observe how, precisely the crossing of these variable bands by Vigía coincides on many occasions with the fastest and most productive phase of the entire price shift, far from concepts that in this phase we should already abandon as outdated and unreliable such as "overbought" or "oversold."
The last two elements remain to be described: a timid blue dashed line and that flickering central area of color called the Astro.
The blue dashed line is named Filter. It is a much more useful element than its smooth and modest journey appears. The Filter has some really fascinating features. Notice, for example, that it is the only line that I keep in visible numerical value, to know exactly when it has a positive and negative value. In periods of laterality, it is a good ally to help us make decisions. It does more things, but that is a prize reserved for whoever pays some attention to it… :-))
We will finish by Astro. Astro is an indicator with its own personality that I designed separately, it is available independently, but I ended up incorporating it into Watcher, which also happens with the Medium Proportional Volume (MPV). Both can be presented or hidden, according to the tastes or needs of the user.
Astro is an adjustable trend indicator, a very useful little tool that will help us identify the critical points where we must consider entries or changes in position. Its default value is 8 cycles, which is a good fit for daily stocks, but I have left open the possibility of modifying its period to be able to take advantage of all its power in intraday temporalities. Once again, I invite you to DO NOT believe me, but to launch the indicator on any asset and evaluate the signals that Astro has offered on its history.
Exponential MA Channel, Daily Timeframe (Crypto)Moving averages are some of the most common tools for traders. Some of the most widely used ones are simple moving averages (e.g. 20SMA, 50 SMA, 100 SMA, 200SMA,...). There are endless combinations of moving averages that can be used. I prefer to use exponential moving averages because they react more quickly to price data (essentially they filter back through the data over a discrete number of timesteps, with more recent history receiving the highest weighting in the final calculation).
This script uses a combination of the 21EMA, 53 EMA, and 100EMA. The idea of this script is to provide insight into when an asset might be close to a local top/bottom by monitoring price within the middle channel (yellow, blue, and orange lines), as well as identifying longer timeframe opportunities to buy/sell by examining the upper (green) and lower (red) bands. Disclaimer: this is not a guarantee that if price enters a region, that it will be a top or bottom, it is simply an indicator to get an idea based on price history.
As far as I know, this particular combination of exponential moving averages has not yet been published. I do not have an infinite amount of time to check through the entire library of published scripts. If someone else has already done this, I was unaware. Numerical computations were performed on ETHBTC price data in order to find the coefficients used in this script. Essentially, each EMA has a multiplier of either 1, a fraction of 1, or a number larger than 1 (these are the numbers in the script being multiplied by 'out1', 'out2', 'out3'; feel free to change these and see how this changes the indicator). I have found it to be useful for myself, and hope other people can tinker with this idea. My only wish is to allow other people to use this starting point to explore for themselves. I hope that I am allowed to publish this script without it being taken down so that others can freely use it.
Recommendations: although this was fit specifically for ETHBTC, it appears useful for many crypto pairs, specifically alt-BTC pairs and crypto-USD pairs. For example, I have found it useful for BTCUSD, ETHUSD, LINKUSD, LINKBTC, ETHBTC, ADABTC, etc. Only use on the DAILY timeframe.
TASC 2021.10 - MAD Moving Average DifferencePresented here is code for the "Moving Average Difference" indicator originally conceived by John Ehlers, also referred to as MAD. This is one of TradingView's first code releases published in the October 2021 issue of Trader's Tips by Technical Analysis of Stocks & Commodities (TASC) magazine.
This indicator has a companion indicator that is discussed in the article entitled Cycle/Trend Analytics And The MAD Indicator , authored by John Ehlers. He's providing an innovative double dose of indicator code for the month of October 2021.
John Ehlers generally describes it as a "thinking man's" MACD . MAD has similar, yet distinct, intended operation. For those of you familiar with the MACD indicator operation, you will find MACD adjustments having defaults of 12 and 26, while MAD has comparable adjustments with defaults of 8 and 23. These are intended for adjustment, same as any other oscillator.
The MAD indicator can be basically described as two simple moving averages applied within a "rate of change" (ROC) calculation.
Further Related Information
• SMA
• ROC
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TASC 2021.10 - Cycle/Trend AnalyticsPresented here is code for the "Cycle/Trend Analytics" indicator originally conceived by John Ehlers. This is another one of TradingView's first code releases published in the October 2021 issue of Trader's Tips by Technical Analysis of Stocks & Commodities (TASC) magazine.
This indicator, referred to as "CTA" in later explanations, has a companion indicator that is discussed in the article entitled MAD Moving Average Difference , authored by John Ehlers. He's providing an innovative double dose of indicator code for the month of October 2021.
Modes of Operation
CTA has two modes defined as "trend" and "cycle". Ehlers' intention from what can be gathered from the article is to portray "the strength of the trend" in trend mode on real data. Cycle mode exhibits the response of the bank of calculations when a hypothetical sine wave is utilized as price. When cycle mode is chosen, two other lines will be displayed that are not shown in trend mode. A more detailed explanation of the indicator's technical functionality and intention can be found in the original Cycle/Trend Analytics And The MAD Indicator article, which requires a subscription.
Computational Functionality
The CTA indicator only has one adjustment in the indicator "Settings" for choice of modes. The default mode of operation is "trend". Trend mode applies raw price data to the bank of plots, while the cycle mode employs a sinusoidal oscillator set to a cycle period of 30 bars. These are passed to multiple SMAs, which are then subtracted from the original source data. The result is a fascinating display of plots embellished with vivid array of gradient color on real data or the hypothetical sine wave.
Related Information
• SMA
• color.rgb()
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[blackcat] L1 Trend Detection Index (TDI)Level: 1
Background
The trend detection index (TDI), which can be used to help detect when a trend has begun and when it has come to an end.
Function
The Trend Detection Index (TDI) is used to identify when a trend has started and when it ends. The TDI can be used as a stand-alone indicator or combined with others; It will work well when it comes to spotting the beginning of trends. However, this does not mean that its signals are absolutely accurate.
Inputs
Price --> Price source as input.
Length --> Length input can be adjusted to tune TDI performance.
Key Signal
MktPos --> 1 for long and -1 for short
Remarks
This is a Level 1 free but closed source indicator.
Feedbacks are appreciated.
Multi ZZ - Support/ResistenceExperimental and probably can be improved further.
Method of deriving support/resistence is as follows:
Calculate Zigzags and start pushing them to SR array as and when they form
If any of the existing item is within the small distance - merge them. ATR is used to find if the prices are close by.
Whenever we merge two pivots, strength of support keeps increasing. This means, price has bounced off this point more time. Hence, keep track of number of pivots merged together.
Keep removing old pivots which are far away based on Loopback input
And that's all we got the full list of support and resistence points.
Now, to filter insignificant pivots, chose only those points which has been merged by more than Min Pivots input. Width of the support/resistence lines also will be thicker for the pivots which has more count. Hence thicker line imply strong support and resistence whereas the thinner ones are minor ones.
Light BalanceThe script is simple, going for a color scheme logic which tenderly avoids rigorous signals processing.
For the script to remain simple, logical derivatives are also out; as such, there are no secondary relations built off of primary ones. And it also ignores (unless you do this yourself) the logic in a varying order of lines.
Coloring has been done according to a limited set of relations between the four (4) plotted lines.
Quite a bit of information is capture, as you'll see when looking at line order, crossings, and transparency transitions and their patterns.
The approach makes the relations ones which can be learned over time; you become the algorithm to sort out signals. Ha ha. I know that sounds like a cop out doesn't it. Did I mention it's a simple script?
One thing you might want to play with right away are fills having red and green, and lime and fuchsia. It would be cool to reduce it all down to two (2) colors, but all the boolean relations might have to be listed, and it also may not be possible to cumulatively combine transparency overlays of the same value. Visually, that approach may not result to awaken a useful feature anyway. Also, fill() has its limitations in that it cannot be in a local scope; this includes function wrapped calls to fill(), or calls made using branching logic statements if/elseif, iff(), and var = (cond) ? t_val/exp : f_val/exp. So, to my knowledge, a fill() can not be made to be logically on/off.
Please, enjoy getting some use out of it.
BB-Pivots-GANN-Levels-stockInshotHello everyone,
With help of open source WD gann codes, i combined this study with Bollinger band with entry & exit conditions.
For stock Selection you way chose fixed stock list .
These levels has been derived from daily WD GANN Astro Levels.
=== Rules ===
Long Entry Condition : Price must be above resistance line with Bollinger band blast will be the best entry . You may take the target with the help of this study.
Stop loss can be same candle low
Short Entry Condition : Price must be below support line with Bollinger band blast will be the best entry . You may take the target with the help of this study.
Stop loss can be same candle High
Please calculate the Risk Reward with the Future Target Price & Stop loss levels.
No Trading Zone Rules -
If price is in middle of support & Resistance .one way avoid such trades as it has been observed ,That most of the time stock goes sideways.
===Rules End ===
study has been kept open source for the understanding the concept.
Do your own Research with this study for better understanding with your trading style
MACD, EMA, Know sure thing, Chopy Market - high adaptabilityHey there :)
This is the free version of the script. The following indicators / settings are missing:
- Support and resistance zones
- dynamic textboxes for alarms when using bots (3 Commas, Alertatron, etc.)
- a table showing the current position, indicators and other important information
With this script there is the possibility to completely customize the MACD . Starting with the MACD and signal line, the histogram and the color of the histogram.
Since the Pinecoders team has previously deleted the script, I will mention the fee settings in a bit more detail:
In this script a fee of 0.01% and a slipage of 15 was used. With each trade the total capital (100%) is used with a risk reward of 1 to 1.5.
The total capital, i.e. the risk, can be changed at any time under the "Settings" tab at "Equity".
I also added an EMA , the Know sure thing indicator and the Chopy Market indicator (by TradingRush) to the script to filter out bad trades.
The EMA:
Since the EMA is very reliable and shows whether there is an upward or downward trend, it should be used with the indicators in any case. It prevents long trades in downward movements and vice versa.
The KST Indicator:
The KST indicator has a similar movement as the MACD, but is by and large a bit more time delayed. It filters out false swings of the MACD and thus prevents bad trades.
The Chopy Market Indicator by Tradingrush:
The Chopy Market indicator, which was introduced by TradingRush in one of its videos, has the ability to detect sideways markets and block zones below this line for trades by means of a fixed value (the line).
To exit the trades, I added the following options:
ATR Exits. Exits based on past candles (lowest low, highest high).
Static exits based on set percentages.
In the next days I will create a tutorial for the script, just have a look on my profile.
If you have any questions about the script, let me know.
M8 BUY @ END OF DAYI've read a couple of times at a couple of different places that most of the move in the market happens after hours, meaning during non-standard trading hours.
After-market and pre-market hours and have seen data presented showing that systems which bought just before end normal market hours and sold the next morning had really amazing resutls.
But when testing those I found the results to be quite poor compared to the pretty graphs I saw, and after much tweaking and trying different ideas I gave up on the idea until I recently decided to try a new position management system.
The System
Buys at the end of the trading day before the close
Sells the next morning at the open IF THE CLOSE OF THE CURRENT BAR IS HIGHER THAN THE ENTRY PRICE
When the current price is not higher, the system will keep the position open until it EITHER gets stops out or closes on profit <<< this is WHY it has the high win %
The system has a high win ratio because it will keep that one position open until it either reaches profit or stops out
This "system" of waiting, and keeping the trade open, actually turned out to be a fantastic way to kind of put the complete trading strategy in a kind of limbo mode. It either waits for market failure or for a profit.
I don't really care about win % at all, almost always high win % ratio systems are just nonsense. What I look for is a PF -- profit factor of 1.5 or above, and a relatively smooth equity curve. -- This has both.
The Stop Loss setting is set @ .95, meaning a 5% stop loss. The Red Line on the chart is the stop loss line.
There is no set profit target -- it simply takes what the market gives.
Non-Repainting System
This does use a 200D Simple Moving Average as a filter. Like a Green Light / Red Light traffic light, the system will only trade long when the price is above its 200 Moving average.
Here is the code: "F1 = close > sma(security(syminfo.tickerid, "D", close ), MarketFilterLen) // HIGH OF OLD DATA -- SO NO REPAINTING"
I use "close ", so that's data from two days ago, it's fixed, confirmed, non-repainting data from the higher timeframe.
-- I would only suggest using this on direction tickers like SPY, QQQ, SSO, TQQQ, market sectors with additional filters in place.
Portfolio Backtester Engine█ OVERVIEW
Portfolio Backtester Engine (PBTE). This tool will allow you to backtest strategies across multiple securities at once. Allowing you to easier understand if your strategy is robust. If you are familiar with the PineCoders backtesting engine , then you will find this indicator pleasant to work with as it is an adaptation based on that work. Much of the functionality has been kept the same, or enhanced, with some minor adjustments I made on the account of creating a more subjectively intuitive tool.
█ HISTORY
The original purpose of the backtesting engine (`BTE`) was to bridge the gap between strategies and studies . Previously, strategies did not contain the ability to send alerts, but were necessary for backtesting. Studies on the other hand were necessary for sending alerts, but could not provide backtesting results . Often, traders would have to manage two separate Pine scripts to take advantage of each feature, this was less than ideal.
The `BTE` published by PineCoders offered a solution to this issue by generating backtesting results under the context of a study(). This allowed traders to backtest their strategy and simultaneously generate alerts for automated trading, thus eliminating the need for a separate strategy() script (though, even converting the engine to a strategy was made simple by the PineCoders!).
Fast forward a couple years and PineScript evolved beyond these issues and alerts were introduced into strategies. The BTE was not quite as necessary anymore, but is still extremely useful as it contains extra features and data not found under the strategy() context. Below is an excerpt of features contained by the BTE:
"""
More than `40` built-in strategies,
Customizable components,
Coupling with your own external indicator,
Simple conversion from Study to Strategy modes,
Post-Exit analysis to search for alternate trade outcomes,
Use of the Data Window to show detailed bar by bar trade information and global statistics, including some not provided by TV backtesting,
Plotting of reminders and generation of alerts on in-trade events.
"""
Before I go any further, I want to be clear that the BTE is STILL a good tool and it is STILL very useful. The Portfolio Backtesting Engine I am introducing is only a tangental advancement and not to be confused as a replacement, this tool would not have been possible without the `BTE`.
█ THE PROBLEM
Most strategies built in Pine are limited by one thing. Data. Backtesting should be a rigorous process and researchers should examine the performance of their strategy across all market regimes; that includes, bullish and bearish markets, ranging markets, low volatility and high volatility. Depending on your TV subscription The Pine Engine is limited to 5k-20k historical bars available for backtesting, which can often leave the strategy results wanting. As a general rule of thumb, strategies should be tested across a quantity of historical bars which will allow for at least 100 trades. In many cases, the lack of historical bars available for backtesting and frequency of the strategy signals produces less than 100 trades, rendering your strategy results inconclusive.
█ THE SOLUTION
In order to be confident that we have a robust strategy we must test it across all market regimes and we must have over 100 trades. To do this effectively, researchers can use the Portfolio Backtesting Engine (PBTE).
By testing a strategy across a carefully selected portfolio of securities, researchers can now gather 5k-20k historical bars per security! Currently, the PTBE allows up to 5 securities, which amounts to 25k-100k historical bars.
█ HOW TO USE
1 — Add the indicator to your chart.
• Confirm inputs. These will be the most important initial values which you can change later by clicking the gear icon ⚙ and opening up the settings of the indicator.
2 — Select a portfolio.
• You will want to spend some time carefully selecting a portfolio of securities.
• Each security should be uncorrelated.
• The entire portfolio should contain a mix of different market regimes.
You should understand that strategies generally take advantage of one particular type of market regime. (trending, ranging, low/high volatility)
For example, the default RSI strategy is typically advantageous during ranging markets, whereas a typical moving average crossover strategy is advantageous in trending markets.
If you were to use the standard RSI strategy during a trending market, you might be selling when you should be buying.
Similarily, if you use an SMA crossover during a ranging market, you will find that the MA's may produce many false signals.
Even if you build a strategy that is designed to be used only in a trending market, it is still best to select a portfolio of all market regimes
as you will be able to test how your strategy will perform when the market does something unexpected.
3 — Test a built-in strategy or add your own.
• Navigate to gear icon ⚙ (settings) of strategy.
• Choose your options.
• Select a Main Entry Strat and Alternate Entry Strat .
• If you want to add your own strategy, you will need to modify the source code and follow the built-in example.
• You will only need to generate (buy 1 / sell -1/ neutral 0) signals.
• Select a Filter , by default these are all off.
• Select an Entry Stop - This will be your stop loss placed at the trade entry.
• Select Pyamiding - This will allow you to stack positions. By default this is off.
• Select Hard Exits - You can also think of these as Take Profits.
• Let the strategy run and take note of the display tables results.
• Portfolio - Shows each security.
• The strategy runs on each asset in your portfolio.
• The initial capital is equally distributed across each security.
So if you have 5 securities and a starting capital of 100,000$ then each security will run the strategy starting with 20,000$
The total row will aggregate the results on a bar by bar basis showing the total results of your initial capital.
• Net Profit (NP) - Shows profitability.
• Number of Trades (#T) - Shows # of trades taken during backtesting period.
• Typically will want to see this number greater than 100 on the "Total" row.
• Average Trade Length (ATL) - Shows average # of days in a trade.
• Maximum Drawdown (MD ) - Max peak-to-valley equity drawdown during backtesting period.
• This number defines the minimum amount of capital required to trade the system.
• Typically, this shouldn’t be lower than 34% and we will want to allow for at least 50% beyond this number.
• Maximum Loss (ML) - Shows largest loss experienced on a per-trade basis.
• Normally, don’t want to exceed more than 1-2 % of equity.
• Maximum Drawdown Duration (MDD) - The longest duration of a drawdown in equity prior to a new equity peak.
• This number is important to help us psychologically understand how long we can expect to wait for a new peak in account equity.
• Maximum Consecutive Losses (MCL) - The max consecutive losses endured throughout the backtesting period.
• Another important metric for trader psychology, this will help you understand how many losses you should be prepared to handle.
• Profit to Maximum Drawdown (P:MD) - A ratio for the average profit to the maximum drawdown.
• The higher the ratio is, the better. Large profits and small losses contribute to a good PMD.
• This metric allows us to examine the profit with respect to risk.
• Profit Loss Ratio (P:L) - Average profit over the average loss.
• Typically this number should be higher in trend following systems.
• Mean reversion systems show lower values, but compensate with a better win %.
• Percent Winners (% W) - The percentage of winning trades.
• Trend systems will usually have lower win percentages, since statistically the market is only trending roughly 30% of the time.
• Mean reversion systems typically should have a high % W.
• Time Percentage (Time %) - The amount of time that the system has an open position.
• The more time you are in the market, the more you are exposed to market risk, not to mention you could be using that money for something else right?
• Return on Investment (ROI) - Your Net Profit over your initial investment, represented as a percentage.
• You want this number to be positive and high.
• Open Profit (OP) - If the strategy has any open positions, the floating value will be represented here.
• Trading Days (TD) - An important metric showing how many days the strategy was active.
• This is good to know and will be valuable in understanding how long you will need to run this strategy in order to achieve results.
█ FEATURES
These are additional features that extend the original `BTE` features.
- Portfolio backtesting.
- Color coded performance results.
- Circuit Breakers that will stop trading.
- Position reversals on exit. (Simulating the function of always in the market. Similar to strategy.entry functionality)
- Whipsaw Filter
- Moving Average Filter
- Minimum Change Filter
- % Gain Equity Exit
- Popular strategies, (MACD, MA cross, supertrend)
Below are features that were excluded from the original `BTE`
- 2 stage in-trade stops with kick-in rules (This was a subjective decision to remove. I found it to be complex and thwarted my use of the `BTE` for some time.)
- Simple conversion from Study to Strategy modes. (Not possible with multiple securities)
- Coupling with your own external indicator (Not really practical to use with multiple securities, but could be used if signals were generated based on some indicator which was not based on the current chart)
- Use of the Data Window to show detailed bar by bar trade information and global statistics.
- Post Exit Analysis.
- Plotting of reminders and generation of alerts on in-trade events.
- Alerts (These may be added in the future by request when I find the time.)
█ THANKS
The whole PineCoders team for all their shared knowledge and original publication of the BTE and Richard Weismann for his ideas on building robust strategies.
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2nd Grade StrategyThis is a strategy to complement the 2GT indicator. It utilises the same rules as 2GT.
This is comprises of multiple popularly used indicators to help decide on whether to go long or short. This indicator will overlay the MA lines and background colours on your chart.
The heikin-ashi colour will be shown as the background colour. This will help you identify a trend more easily while using bars, candles, hollow candles, etc. When the background is green, it means that it is a green HA and vice versa.
The blue MA line is for showing the short-term trend. The red MA line is for showing the medium-term trend. You can select the moving average flavour of your choice in the settings.
The yellow MA line is the long-term trend that is mainly used as a filter to indicate bullish/bearish trend. The MA type for this filter can be different from the short/mid term MA.
This indicator will also show Stochastic crossovers (GC, DC, BC) on the chart. This will help to always keep your eye on the chart candles.
In the settings, you can also turn on/off bullish/bearish signals.
Rules for bullish signals on this indicator:-
1. MA: Blue > Red > Yellow (FastMA > SlowMA > FilterMA)
2. Stochastic: K > D and both are heading upwards
3. 2nd Green HA
When 2 out of the 3 rules are met, the candle background will be Aqua in colour. When all 3 rules are met, the candle background will be Green .
Rules for bearish signals on this indicator:-
1. MA: Yellow > Red > Blue (FilterMA > SlowMA > FastMA)
2. Stochastic: D > K and both are heading downwards
3. 2nd Red HA
When 2 out of the 3 rules are met, the candle background will be Orange in colour. When all 3 rules are met, the candle background will be Red .
Do note that you can hide any of these elements in via the settings.
If you find this useful, do smash the LIKE and FOLLOW button.
WSLM
2nd Grade TechniqueThis is comprises of multiple popularly used indicators to help decide on whether to go long or short. This indicator will overlay the MA lines and background colours on your chart.
The heikin-ashi colour will be shown as the background colour. This will help you identify a trend more easily while using bars, candles, hollow candles, etc. When the background is green, it means that it is a green HA and vice versa.
The blue MA line is for showing the short-term trend. The red MA line is for showing the medium-term trend. You can select the moving average flavour of your choice in the settings.
The yellow MA line is the long-term trend that is mainly used as a filter to indicate bullish/bearish trend. The MA type for this filter can be different from the short/mid term MA.
This indicator will also show Stochastic crossovers (GC, DC, BC) on the chart. This will help to always keep your eye on the chart candles.
In the settings, you can also turn on/off bullish/bearish signals.
Rules for bullish signals on this indicator:-
1. MA: Blue > Red > Yellow (FastMA > SlowMA > FilterMA)
2. Stochastic: K > D and both are heading upwards
3. 2nd Green HA
When 2 out of the 3 rules are met, the candle background will be Aqua in colour. When all 3 rules are met, the candle background will be Green .
Rules for bearish signals on this indicator:-
1. MA: Yellow > Red > Blue (FilterMA > SlowMA > FastMA)
2. Stochastic: D > K and both are heading downwards
3. 2nd Red HA
When 2 out of the 3 rules are met, the candle background will be Orange in colour. When all 3 rules are met, the candle background will be Red .
Do note that you can show/hide any of these elements via the settings.
If you find this useful, do smash the LIKE and FOLLOW button.
WSLM
Decision point boxes [LM]Hello traders,
I would like to introduce you decision point boxes study. The idea is the same as the pivots looking left and right some count of candles that has to be either up or down candle the only difference from pivots is that I'm only looking for consecutive up or down candle and in between them one candle that is oposite stance than surounding also candle has to have by default 50% or greater of wicks than body which mean market has done some decission at this candle.
Example of up candles and decision down candle:
Example of down candles a decision up candle:
Hope you will enjoy it
Support and Resistance by CainKellyeCheck out my automatic support and resistance indicator that uses the EMA of price change * relative volume as the bases of pivot search.
It also tells the strength of the support and resistance lines calculated using a 4 times quicker EMA and using its distance from the slower one.
The strongest plotted line has the maximum opacity and the weakest has the minimum opacity inside the given range.
This calculation results in an organic detection of the support and resistance prices.
You can set the distance range in percentage you want to have lines calculated around the current price.
You can set the lines gravity distance inside which they are snapped together: the stronger line pulls the weaker to it by using strength weighted average for the new price value.
You can increase the minimum opacity value in case you only see few lines (but the maximum is 15)
You can change the used price for the lines to Close or High/Low but recommended is to use the average of those two (default)
The distances multiplier helps to get a birds eye view easily when using 4H (or higher) chart and a separate one to use on Daily / Weekly / Monthly for even broader view.
Lines and labels are drawn near the candles so you are still able to zoom in.
Labels are not drawn when their line is barely visible (transparency >= 80)
This indicator has been refined on the 15 minute and 1 hour charts of BTC and other cryptos but it works well in smaller volatility markets as well if the distances are adjusted accordingly.
Single Prints - Session Initial BalancesDisclaimer: Expose yourself to the knowledge of different trading methods. If you are unaware of what a Single Print is then do some research and broaden your knowledge.
This indicator has only been tested on BTCUSDT Binance pair. This indicator is meant to be used on the 30 minute timeframe to highlight Single Prints.
The calculations are base on 0000 UTC and what Single Prints are created during that day.
Single Prints
Single Prints are where prices moves to fast through an area (on a 30 minute timeframe), in the case of this indicator in $50 intervals, where the price has not yet cross back past, represented as orange lines. If you were viewing this on a Time Price Opportunity Chart (TPO) each $50 would be represented as a square with a letter in it. If price has only been through that area once, within that 24 hour period, then it is called a Single Print. If however the Single Print is on the lower wick of the candle it is called a Buying Tail and on the Upper Wick a Selling Tail.
Single Prints leave low volume nodes with liquidity gaps, these inefficient moves tend to get filled, and we can seek trading opportunities once they get filled, or we can also enter before they get filled and use these single prints as targets.
Single Prints are a sign of emotional buying or selling as very little time was spent at those levels and thus there is no value there.
The endpoints of single print sections are considered to be potential support or resistance points and or get filled (like a CME gap).
The above is only a very short summary, to understand Single Prints, Buying Tails and Selling Tails more please do your own research (DYOR).
References:
Trading Riot Volume Profile - Website
TOROS TPO Charts Explained - Youtube
Session Boxes
Session Boxes are the high and low of that markets session before the new market session opens. I used the data from the website Trading Hours for the time input.
White box – Start of day UTC 0000 to Market Close UTC 2000
Purple box – Asia Start UTC 0130 to London Start UTC 0700
Yellow box – London Start UTC 0700 to New York Start UTC 1330
Blue box – New York Start UTC 1330 to Market Close UTC 2000
Red box – Market Close UTC 2000 to End of day UTC 2359
References:
Trading Hours - Website
Initial Balance
The Initial Balance is the market range between the high and low of the first hour of trading for the market. In the case of crypto when is the Initial Balance if it is 24/7.
Context of Initial Balance:
The Initial Balance is traditionally the range of prices transacted in the first hour of trade. Many regard the Initial Balance as a significant range because, especially for the index futures which are tied to the underlying stocks, orders entered overnight or before the open are typically executed prior to the end of the first hour of trade. Some use it to understand how the rest of the day may develop, while others use it as a span of time to avoid trading altogether because of its potential volatility.
For this indicator I have coded the Initial Balance time as below:
White Box - To appear for the first hour of the day 0000 to 0100 UTC .
Purple Box - To appear for the first hour of the day 0130 to 0230 UTC .
Yellow Box - To appear for the first hour of the day 0700 to 0800 UTC .
Blue Box - To appear for the first hour of the day 1330 to 1430 UTC .
Red Box - To appear for the first hour of the day 2000 to 2100 UTC .
The diagram above shows some examples:
How price (white arrows) retraces the single prints.
How price (red arrows) uses the single prints as S/R.
References:
Not Hard Trading – Website
My Pivots Initial Balance - Website
Thanks go to:
StackOverFlow Bjorn Mistiaen
Trading View user mvs1231
Please message me if you have any feedback/questions.
I am looking at developing this indicator further in the future.
Moving Average and PerformanceThis indicator combines several tools that are used daily for analysis:
The performance of the action we are seeing.
The percentage of retracement the stock has made from its all time high.
Possibility of using up to four exponential or simple moving averages in the length we want.
It allows to see or not the levels of four moving averages in daily temporality.
This indicator is unique since it allows you to see in real time the performance of the Stock or ETF that is being analyzed, which allows you to make a timely decision for short, medium or long-term investments.
If you are doing scalping, swing, or intraday trading, you can see the retracement it has made from the ATH (3, 5, 10 or 13%) which can become Supports or Resistances where the price can rebound, Likewise, the levels of the moving averages in 1D temporality can be observed at the same time, which are usually dynamic supports or resistances and it can also be observed in the same temporality of the chart four moving averages that the trader can configure in the length that you deem convenient to improve your analysis and make decisions as quickly as possible.
Este indicador es único ya que permite ver en tiempo real el rendimiento de la Acción o ETF que se está analizando, lo cual permite tomar una decisión oportuna para las inversiones a corto, mediano o largo plazo.
Si se está haciendo trading tipo scalping, swing, o intradía, se puede observar el retroceso que ha hecho desde el ATH (3, 5, 10 o 13%) el cual puede convertirse en Soportes o Resistencias en donde el precio puede hacer rebotes, así mismo se pueden estar observando al mismo tiempo los niveles de las medias móviles en temporalidad de 1D, los cuales usualmente son Soportes o resistencias dinámicas y también se puede observar en la misma temporalidad del gráfico cuatro medias móviles que el trader puede configurar en la longitud que crea conveniente para mejorar su análisis y tomar decisiones lo más rápido posible.
Volume Play This is going to be my first published indicator on Trading View. Thanks for TradingView for providing us this great platform And thanks for all of those who helps me to built this indicator and share there ideas.I cannot mention everyone name here believe me that list going to be huge.Everyone’s idea and help is much appreciated.This is how our TradingView community is growing day by day with kindness and knowledge. Every time I take so much from community in form knowledge that every time somewhere I feel that I also need to do something for community and finally day arrived .A gift from my side to community.A gift of indicator-VOLUME PLAY
This volume based indicator has High Relative Volume bar Background, Low Relative Volume bar background ,Volume Labels of Buying volume, Selling volume and Total volume count with percentage, Highest Volume in Percentage and Highest 5x volume count and 10x volume count of bar.Plus I have did column scaling to take Down pan input so you can switch pane or add in existing pane without any major problem And all this works on any time frame. Isn’t it good idea?
This indicator displays the volume of each session in a similar manner of the default volume indicator.However it add on the last bar Green and Red bar colours. Green means buying is more than selling and Red means selling is more than buying.On top of Some bar If number appears That means that’s volume is highest multiple volume of 5 and if number appears with label means highest multiple volume of 10.So simple without label volume counts means 5x and with label means 10x.
Now some of bars has background colour of Mint green , Pastel red and White.That’s highlight high relative volume bars with a highly buying activity range in Green and high relative volume bars with a highly selling activity range in Red And white background is low relative volume for that timeframe bar.
I am kind of person who don’t keep show indicator value enable all time.So it’s come in mind why not plot this values without enabling it.So I decided to show this values of buying, selling and total volumes on top near middle pane.Interesting thing is that I made a label with the help of pine script Table feature.Thanks a lot to Pine Team to add this new great feature! It’s great alternative for labels feature.Because of this feature I am able to locate buying, selling and total volume at right place where in most of scenario it will adjust.
Please note that all values are estimate.It’s not accurate.I show volumes in K,M form.Plus with volume I also try to show Buying And Selling volume in percentage form to get rough idea about what’s going on in instrument.Idea is to get better view of volume by splitting it into Buying , Selling and Total volume.This allows you to see are the bulls or bears in-control in relation to the overall Volume.
By default this indicator overlay is false but you can move this indicator pane to existing upper or lower pane.It will help to save space as well.If combine with two indicator at same pane then it will create two value scale at right side.So you will not loose any indicators values.By default I used 50% of vertical space in indicator scale factor.
I tried to make this indicator as accurate as inbuilt volume indicator with added extra feature.The main aim of indicator to get Idea of volume role in that symbol with that specific timeframe.Result might not be accurate but I expect somewhat nearby to accurate.
Kept source code open purposely for learners of pine script. Please avoid misuse or selling of this indicator.Remember Sharing Is Caring. If someone has suggestions or any addition then please comment below.Wishing you all abundance of health, wealth, and prosperity.
After all its all about VOLUME PLAY.
Disclaimer:-This indicator is not meant for buy or sell signals.This post and the script don’t provide any financial advice. This indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
[francrypto® strategy] 4 EMAs, P.SAR & Vol.Prof. (by kv4coins)(ENG)
This script consists of my own strategy for cryptocurrency (but can be adapted very well for stocks, forex, etc.)
Is a combination of:
- Four Exponentials Moving Average (EMA), configurables: by defect are 10, 21, 55 and 200 periods in yellow, aqua, orange and blue each of them
- Parabolic SAR System (PSAR), configurable
- Volume Profile (that has been developed by kv4coins - he has already authorized me to use it under the same OSS Licence Terms: MPL 2.0), configurable: with another default values and bilingual support for Spanish (SPA)
How it works
1) It is always better to detect specifics candlesticks or patrons: doji , pinbar or inverted pinbar , engulfing bars , morning star or evening star , harami , twizzer bottom or top , etc.
2) The 10 and 21 periods EMA help to identify the short-term behavior
3) The 55 periods EMA can be used like a support or resistance in medium-term, as 200 periods EMA in very long-term
4) It will convenient search for a double cross (10 & 21) or a triple cross (10, 21 & 55) to determine the medium-term change Downtrend to UpTrend (or viceversa)
5) Confirm the change patron with the Parabolic SAR and then identify potencials purchases or sales
6) Use Volume profile to detect potential supports or resistances areas, in order to set stop limit/loss and take profit orders.
Hope this helps!
Cheers,
FRANCRYPTO®
–––––– 0 ––––––
(ESP)
Este script consiste en mi propia estrategia para criptomonedas (pero puede adaptarse muy bien para acciones, forex, etc.)
Es la combinación de:
1) Cuatro Medias Móviles Exponenciales (EMA), configurables: por defecto son de 10, 21, 55 y 200 períodos en amarillo, turquesa, naranja y azul cada una de ellas
2) Sistema Parabolic SAR (PSAR), configurable
3) Perfil de Volumen (que fuera desarrollado por kv4coins - que ya me ha autorizado a su uso bajo las mismas condiciones de la Licencia OSS: MPL 2.0), configurable: con otros valores por defecto y soporte bilingüe para Español (SPA)
Cómo funciona
1) Siempre va a resultar mejor detectar velas japonesas específicas o patrones: doji , martillos o martillos invertidos , velas envolventes , patrón amanecer o atardecer , harami , velas gemelas , etcétera
2) La EMA de 10 y 21 períodos ayudan a identificar el comportamiento de corto plazo
3) La EMA de 55 períodos puede ser usada como un soporte o resistencia de mediano plazo, como así también, la EMA de 200 períodos en el muy largo plazo
4) Será conveniente buscar un doble cruce (10 & 21) o un triple cruce (10, 21 & 55) para determinar un cambio de la tendencia de mediano plazo de bajista hacia alcista (o viceversa)
5) Confirmá el patrón de cambio con la Parabólica de SAR y entonces identificá potenciales compras o ventas
6) Usá el perfil de volumen para detectar las potenciales zonas de soporte o resistencia, principalmente para establecer ordenes stop limit/loss o take profit.
¡Espero que pueda serles de utilidad!
Saludos,
FRANCRYPTO®
MA DerivativesMA Derivatives basicly using Ichimoku Cloud and some additional moving averages for traders.
A. ICHIMOKU
Tenkan-sen (Conversion Line): (9-period high + 9-period low)/2
On a daily chart , this line is the midpoint of the 9-day high-low range, which is almost two weeks.
Kijun-sen (Base Line): (26-period high + 26-period low)/2
On a daily chart , this line is the midpoint of the 26-day high-low range, which is almost one month.
Senkou Span A (Leading Span A): (Conversion Line + Base Line)/2
This is the midpoint between the Conversion Line and the Base Line. The Leading Span A forms one of the two Cloud boundaries. It is referred to as “Leading” because it is plotted 26 periods in the future and forms the faster Cloud boundary.
Senkou Span B (Leading Span B): (52-period high + 52-period low)/2
On the daily chart , this line is the midpoint of the 52-day high-low range, which is a little less than 3 months. The default calculation setting is 52 periods, but it can be adjusted. This value is plotted 26 periods in the future and forms the slower Cloud boundary.
Chikou Span: Represents the closing price and is plotted 26 days back.
Kumo Cloud: Kumo cloud between Senkuo Span A and Senkou Span B lines. It can be green or red. Color can be change with the trend.
You can use Ichimoku for buy&sell strategy
For Buying Strategy
- Tenkansen (Conversion Line) should crossover Kijunsen (Base line) above the highest line of cloud
- Price should be above the highest line of cloud
- Chikouspan should be above the cloud
For Selling Strategy
- Kijunsen (Base Line) should crossover Tenkansen (Conversion Line) below the lowest line of cloud
- Price should be below the lowest line of cloud
- Chikouspan should be below the cloud
B. SIMPLE MOVING AVERAGES
The indicator has some of Simple Moving Averages
It includes:
-Simple Moving Average 50
-Simple Moving Average 100
-Simple Moving Average 200
C. EXPONENTIAL MOVING AVERAGES
The indicator has some of Simple Moving Averages
It includes:
-Exponential Moving Average 9
-Exponential Moving Average 21
-Exponential Moving Average 50
D. BOLLINGER BAND
Bollinger Bands are a type of price envelope developed by John BollingerOpens in a new window. (Price envelopes define upper and lower price range levels.) Bollinger Bands are envelopes plotted at a standard deviation level above and below a simple moving average of the price. Because the distance of the bands is based on standard deviation, they adjust to volatility swings in the underlying price.
Bollinger Bands use 2 parameters, Period and Standard Deviations, StdDev. The default values are 20 for period, and 2 for standard deviations, although you may customize the combinations.
Bollinger bands help determine whether prices are high or low on a relative basis. They are used in pairs, both upper and lower bands and in conjunction with a moving average. Further, the pair of bands is not intended to be used on its own. Use the pair to confirm signals given with other indicators.
How this indicator works
When the bands tighten during a period of low volatility, it raises the likelihood of a sharp price move in either direction. This may begin a trending move. Watch out for a false move in opposite direction which reverses before the proper trend begins.
When the bands separate by an unusual large amount, volatility increases and any existing trend may be ending.
Prices have a tendency to bounce within the bands' envelope, touching one band then moving to the other band. You can use these swings to help identify potential profit targets. For example, if a price bounces off the lower band and then crosses above the moving average, the upper band then becomes the profit target.
Price can exceed or hug a band envelope for prolonged periods during strong trends. On divergence with a momentum oscillator, you may want to do additional research to determine if taking additional profits is appropriate for you.
A strong trend continuation can be expected when the price moves out of the bands. However, if prices move immediately back inside the band, then the suggested strength is negated.
Calculation
First, calculate a simple moving average. Next, calculate the standard deviation over the same number of periods as the simple moving average. For the upper band, add the standard deviation to the moving average. For the lower band, subtract the standard deviation from the moving average.
Typical values used:
Short term: 10 day moving average, bands at 1.5 standard deviations. (1.5 times the standard dev. +/- the SMA)
Medium term: 20 day moving average, bands at 2 standard deviations.
Long term: 50 day moving average, bands at 2.5 standard deviations.
E. ADJUSTABLE MOVING AVERAGES
And this script has also 2 adjustable moving average
- 1 Adjustable Simple Moving Average
- 1 Adjustable Exponential Moving Average
You can just change the length for using this tool.
MashumeHullTV█ OVERVIEW
This plots the Hull Moving Average Turning Points and Concavity
with the addition of colored segments representing concavity and turning points: maxima, minima and inflection.
a fast way to determine the trend direction and possible reversals based on concavity of the trend
Dark Green: Concave Up but HMA decreasing. The 'mood' has changed and the declining trend of the HMA is slowing. Possible trend change to Uptrend soon
Light Green: Concave up and HMA increasing. Price is increasing, and since the curve is still concave up, it is accelerating upward. Uptrend
Orange: Concavity is now downward, and though price is still increasing, the rate has slowed, perhaps the mood has become less enthusiastic. Possible trend change to Downtrend soon
Red: Concave down and HMA decreasing. Downtrend
Buy signals generated when Hull turns from Dark Green -> Light Green
Sell signals generated when Hull turns from Orange -> Red
To best determine if this is a entry point or a trend reversal, it is recommended to use in conjunction with the QQEMoMoTV indicator
█ FEATURES
Calculations
Calculates the concavity of the Hull Moving Average comparing the Hull concavity of the current bar to the previous bar and displays the concavity in the form of 4 different colors.
Note: may cause repainting, so recommended to use with another indicator such as the QQEMoMoTV indicator to confirm signals.
Calculates divergence between the calculated HMA and the actual price and displays this in the Divergence Label.
Calculates the local minima, maxima and inflection points with the ability to display these as auto support/resistance lines.
Inputs
You can use the script's inputs to configure:
• Calculation Source (default HL2)
• HMA Length (default 21)
• Lookback (default 2)
• Whether to show Auto Support/Resist Lines
• Whether to show Buy/Sell Arrows
• Whether to show Divergence Label
• Whether to extend Local Auto Support/Resist Lines
Alerts
Buy Signal alert based on HMA crossing above MA_Min/Hull Support, when Hull turns from Dark Green -> Light Green, Bullish
Sell Signal alert based on HMA crossing below MA_Max/Hull Resistance, when Hull turns from Orange -> Red, Bearish
Experimental support for applying the indicator to higher time frames
eg. charting the hourly MashumeHull indicator on 15 min chart. See the commented code to access this feature
█ CREDITS
Original Author: Seth Urion (Mashume)
Feature upgrades and usage: Xiuying
Converted to Tradingview by: Machdragon
