High/Low Channel Multi averages Crypto Swing strategyThis is a swing strategy designed for trending markets such as crypto and stock, with big timeframes , like 8h.
For this strategy we take SMA, EMA, VWMA, ALMA, SMMA, LSMA and VWMA and make an apply them all to both HIGH and LOW separately and make 2 averages, 1 applied to high and the other applied to low.
With them we make a channel.
Rules for entry
For long: close of a candle is above avg applied to high.
For short: close of a candle is below avg applied to low.
Rules for exit
We exit when we either hit TP or SL or when we receive a different condition than the entry one.(long- > short and viceversa)
If you have any questions, let me know !
Kripto
Swing/Scalper HULL + T3 avg Crypto StrategyThis is a both a swing and a scalper strategy(depends on the timeframe that you use), that works with all timeframes, however I noticed that with swing 3h works the best on most crypto pairs, such as ETH, BTC and so on.
Its main components are:
Hull moving average
T3 moving average
Risk management
With them I make an average and use it as the main moving average.
Rules for entry
For long: Average moving average is bigger than previous average moving average value.
For short:Average moving average is lower than previous average moving average value.
Rules for exit
We exit when either the TP/SL has been hit, or when we get a different condition than previous one(both for long and short).
If you have any questions, let me know !
Aggresive Scalper/Swing Crypto StrategyThis is a simple yet very efficient scalper long strategy adapted for low timeframes for crypto. Can also be used with bigger timeframes as a swinger.
Its main components are:
Price oscillator swing
Vortex
Risk management for TP/SL
Rules for entry
We calculate the difference between the oscillator from the lowest low and the highest high. If the difference is positive, its a long potential. If its negative we exit from the long trade.
At the same time we check that the we have a crossover between the VIP vortex with the VIM vortex part.
Lastly we check that the current candle is bigger the second previous high.
Rules for exit
If we reach the take profit or the stop loss.
If we have a negative difference betwee LL and HH and VIP vortex crossunder with VIM vortex .
In this example I aimed for a 1:10 risk reward ratio, meaing that for every dollar lost, we will gain 10 when we win. Thus having a 10% minimum win rate will give us a profit over many trades.
If you have any questions, let me know !
Multi-Market Swing Trader Webhook Ready [HullBuster]
Introduction
This is an all symbol swing trading strategy intended for webhook integration to live accounts. This script employs an adjustable bandwidth ping pong algorithm which can be run in long only, short only or bidirectional modes. Additionally, this script provides advanced features such as pyramiding and DCA. It has been in development for nearly three years and exposes over 90 inputs to accommodate varying risk reward ratios. Equipped with a proper configuration it is suitable for professional traders seeking quality trades from a cloud based platform. This is my most advanced Pine Script to date which combines my RangeV3 and TrendV2 scripts. Using this combination it tries to bridge the gap between range bound and trending markets. I have put a lot of time into creating a system that could transition by itself so as to require less human intervention and thus be able to withstand long periods in full automation mode.
As a Pine strategy, hypothetical performance can be easily back-tested. Allowing you to Iron out the configuration of your target instrument. Now with recent advancements from the Pine development team this same script can be connected to a webhook through the alert mechanism. The requirement of a separate study script has been completely removed. This really makes things a lot easier to get your trading system up and running. I would like to also mention that TradingView has made significant advancements to the back-end over the last year. Notably, compile times are much faster now permitting more complex algorithms to be implemented. Thank you TradingView!
I used QuantConnect as my role model and strived to produce a base script which could compete with higher end cloud based platforms while being attractive to similarly experienced traders. The versatility of the Pine Language combined with the greater selection of end point execution systems provides a powerful alternative to other cloud based platforms. At the very least, with the features available today, a modular trading system for everyday use is a reality. I hope you'll agree.
This is a swing trading strategy so the behavior of this script is to buy on weakness and sell on strength. In trading parlance this is referred to as Support and Resistance Trading. Support being the point at which prices stop falling and start rising. Resistance being the point at which prices stop rising and fall. The chart real estate between these two points being defined as the range. This script seeks to implement strategies to profit from placing trades within this region. Short positions at resistance and long positions at support. Just to be clear, the range as well as trends are merely illusions as the chart only receives prices. However, this script attempts to calculate pivot points from the price stream. Rising pivots are shorts and falling pivots are longs. I refer to pivots as a vertex in this script which adds structural components to the chart formation (point, sides and a base). When trading in “Ping Pong” mode long and short positions are interleaved continuously as long as there exists a detectable vertex.
This is a non-hedging script so those of us subject to NFA FIFO Rule 2-43(b) should be generally safe to webhook into signals emitted from this script. However, as covered later in this document, there are some technical limitations to this statement. I have tested this script on various instruments for over two years and have configurations for forex, crypto and stocks. This script along with my TrendV2 script are my daily trading vehicles as a webhook into my forex and crypto accounts. This script employs various high risk features that could wipe out your account if not used judiciously. You should absolutely not use this script if you are a beginner or looking for a get-rich-quick strategy. Also please see my CFTC RULE 4.41 disclosure statement at the end of the document. Really!
Does this script repaint? The short answer is yes, it does, despite my best efforts to the contrary. EMAs are central to my strategy and TradingView calculates from the beginning of the series so there is just no getting around this. However, Pine is improving everyday and I am hopeful that this issue will be address from an architectural level at some point in the future. I have programmed my webhook to compensate for this occurrence so, in the mean time, this my recommended way to handle it (at the endpoint and before the broker).
Design
This strategy uses a ping pong algorithm of my own design. Basically, trades bounce off each other along the price stream. Trades are produced as a series of reversals. The point at which a trade reverses is a pivot calculation. A measurement is made between the recent valley to peak which results in a standard deviation value. This value is an input to implied probability calculation.Yes, the same implied probability used in sports betting. Odds are then calculated to determine the likelihood of price action continuing or retracing to the pivot. Based on where the account is at alert time, the action could be an entry, take profit or pyramid signal. In this design, trades must occur in alternating sequence. A long followed by a short then another long followed by a short and so on. In range bound price action trades appear along the outer bands of the channel in the aforementioned sequence. Shorts on the top and longs at the bottom. Generally speaking, the widths of the trading bands can be adjusted using the vertex dynamics in Section 2. There are a dozen inputs in this section used to describe the trading range. It is not a simple adjustment. If pyramids are enabled the strategy overrides the ping pong reversal pattern and begins an accumulation sequence. In this case you will see a series of same direction trades.
This script uses twelve indicators on a single time frame. The original trading algorithms are a port from a C++ program on proprietary trading platform. I’ve converted some of the statistical functions to use standard indicators available on TradingView. The setups make heavy use of the Hull Moving Average in conjunction with EMAs that form the Bill Williams Alligator as described in his book “New Trading Dimensions” Chapter 3. Lag between the Hull and the EMAs play a key role in identifying the pivot points. I really like the Hull Moving Average. I use it in all my systems, including 3 other platforms. It’s is an excellent leading indicator and a relatively light calculation.
The trend detection algorithms rely on several factors:
1. Smoothed EMAs in a Willams Alligator pattern.
2. Number of pivots encountered in a particular direction.
3. Which side debt is being incurred.
4. Settings in Section 4 and 5 (long and short)
The strategy uses these factors to determine the probability of prices continuing in the most recent direction. My TrendV2 script uses a higher time frame to determine trend direction. I can’t use that method in this script without exceeding various TradingView limitations on code size. However, the higher time frame is the best way to know which trend is worth pursuing or better to bet against.
The entire script is around 2400 lines of Pine code which pushes the limits of what can be created on this platform given the TradingView maximums for: local scopes, run-time duration and compile time. The module has been through numerous refactoring passes and makes extensive use of ternary statements. As such, It takes a full minute to compile after adding it to a chart. Please wait for the hovering dots to disappear before attempting to bring up the input dialog box. Scrolling the chart quickly may bring up an hour glass.
Regardless of the market conditions: range or trend. The behavior of the script is governed entirely by the 91 inputs. Depending on the settings, bar interval and symbol, you can configure a system to trade in small ranges producing a thousand or more trades. If you prefer wider ranges with fewer trades then the vertex detection settings in Section 2 should employ stiffer values. To make the script more of a trend follower, adjustments are available in Section 4 and 5 (long and short respectively). Overall this script is a range trader and the setups want to get in that way. It cannot be made into a full blown trend trading system. My TrendV2 is equipped for that purpose. Conversely, this script cannot be effectively deployed as a scalper either. The vertex calculation require too much data for high frequency trading. That doesn’t work well for retail customers anyway. The script is designed to function in bar intervals between 5 minutes and 4 hours. However, larger intervals require more backtest data in order to create reliable configurations. TradingView paid plans (Pro) only provide 10K bars which may not be sufficient. Please keep that in mind.
The transition from swing trader to trend follower typically happens after a stop is hit. That means that your account experiences a loss first and usually with a pyramid stack so the loss could be significant. Even then the script continues to alternate trades long and short. The difference is that the strategy tries to be more long on rising prices and more short on falling prices as opposed to simply counter trend trading. Otherwise, a continuous period of rising prices results in a distinctly short pyramid stack. This is much different than my TrendV2 script which stays long on peaks and short on valleys. Basically, the plan is to be profitable in range bound markets and just lose less when a trend comes along. How well this actually plays out will depend largely on the choices made in the sectioned input parameters.
Sections
The input dialog for this script contains 91 inputs separated into six sections.
Section 1: Global settings for the strategy including calculation model, trading direction, exit levels, pyramid and DCA settings. This is where you specify your minimum profit and stop levels. You should setup your Properties tab inputs before working on any of the sections. It’s really important to get the Base Currency right before doing any work on the strategy inputs. It is important to understand that the “Minimum Profit” and “Limit Offset” are conditional exits. To exit at a profit, the specified value must be exceeded during positive price pressure. On the other hand, the “Stop Offset” is a hard limit.
Section 2: Vertex dynamics. The script is equipped with four types of pivot point indicators. Histogram, candle, fractal and transform. Despite how the chart visuals may seem. The chart only receives prices. It’s up to the strategy to interpret patterns from the number stream. The quality of the feed and the symbol’s bar characteristics vary greatly from instrument to instrument. Each indicator uses a fundamentally different pattern recognition algorithm. Use trial and error to determine the best fit for your configuration. After selecting an indicator type, there are eight analog fields that must be configured for that particular indicator. This is the hardest part of the configuration process. The values applied to these fields determine how the range will be measured. They have a big effect on the number of trades your system will generate. To see the vertices click on the “Show Markers” check box in this section. Red markers are long positions and blue markers are short. This will give you an idea of where trades will be placed in natural order.
Section 3: Event thresholds. Price spikes are used to enter and exit trades. The magnitude which define these spikes are configured here. The rise and fall events are primarily for pyramid placement. The rise and fall limits determine the exit threshold for the conditional “Limit Offset” field found in Section 1. These fields should be adjusted one at a time. Use a zero value to disengage every one but the one you are working on. Use the fill colors found in Section 6 to get a visual on the values applied to these fields. To make it harder for pyramids to enter stiffen the Event values. This is more of a hack as the formal pyramid parameters are in Section 1.
Section 4 and 5: Long and short settings. These are mirror opposite settings with all opposing fields having the same meaning. Its really easy to introduce data mining bias into your configuration through these fields. You must combat against this tendency by trying to keep your settings as uniform as possible. Wildly different parameters for long and short means you have probably fitted the chart. There are nine analog and thirteen Boolean fields per trade direction. This section is all about how the trades themselves will be placed along the range defined in Section 2. Generally speaking, more restrictive settings will result in less trades but higher quality. Remember that this strategy will enter long on falling prices and short on rising prices. So getting in the trade too early leads to a draw-down. However, this could be what you want if pyramiding is enabled. I, personally, have found that the best configurations come from slightly skewing one side. I just accept that the other side will be sub-par.
Section 6: Chart rendering. This section contains one analog and four Boolean fields. More or less a diagnostic tool. Of particular interest is the “Symbol Debt Sequence” field. This field contains a whole number which paints regions that have sustained a run of bad trades equal or greater than specified value. It is useful when DCA is enabled. In this script Dollar Cost Averaging on new positions continues only until the symbol debt is recouped. To get a better understanding on how this works put a number in this field and activate DCA. You should notice how the trade size increases in the colored regions. The “Summary Report” checkbox displays a blue information box at the live end of the chart. It exposes several metrics which you may find useful if manually trading this strategy from audible alerts or text messages.
Pyramids
This script features a downward pyramiding strategy which increases your position size on losing trades. On purely margin trades, this feature can be used to, hypothetically, increase the profit factor of positions (not individual trades). On long only markets, such as crypto, you can use this feature to accumulate coins at depressed prices. The way it works is the stop offset, applied in the Section 1 inputs, determines the maximum risk you intend to bear. Additional trades will be placed at pivot points calculated all the way down to the stop price. The size of each add on trade is increased by a multiple of its interval. The maximum number of intervals is limited by the “Pyramiding” field in the properties tab. The rate at which pyramid positions are created can be adjusted in Section 1. To see the pyramids click on the “Mark Pyramid Levels” check box in the same section. Blue triangles are painted below trades other than the primary.
Unlike traditional Martingale strategies, the result of your trade is not dependent on the profit or loss from the last trade. The position must recover the R1 point in order to close. Alternatively, you can set a “Pyramid Bale Out Offset” in Section 1 which will terminate the trade early. However, the bale out must coincide with a pivot point and result in a profitable exit in order to actually close the trade. Should the market price exceed the stop offset set in Section 1, the full value of the position, multiplied by the accepted leverage, will be realized as a loss to the trading account. A series of such losses will certainly wipe out your account.
Pyramiding is an advanced feature intended for professional traders with well funded accounts and an appropriate mindset. The availability of this feature is not intended to endorse or promote my use of it. Use at your own risk (peril).
DCA
In addition to pyramiding this script employs DCA which enables users to experiment with loss recovery techniques. This is another advanced feature which can increase the order size on new trades in response to stopped out or winning streak trades. The script keeps track of debt incurred from losing trades. When the debt is recovered the order size returns to the base amount specified in the properties tab. The inputs for this feature are found in section 3 and include a limiter to prevent your account from depleting capital during runaway markets. The main difference between DCA and pyramids is that this implementation of DCA applies to new trades while pyramids affect open positions. DCA is a popular feature in crypto trading but can leave you with large “bags” if your not careful. In other markets, especially margin trading, you’ll need a well funded account and much experience.
To be sure pyramiding and dollar cost averaging is as close to gambling as you can get in respectable trading exchanges. However, if you are looking to compete in a spot trading contest or just want to add excitement to your trading life style those features could find a place in your strategies. Although your backtest may show spectacular gains don’t expect your live trading account to do the same. Every backtest has some measure of data mining bias. Please remember that.
Webhook Integration
The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. To that end this script has several things going for it. First off, it is a strategy type script. That means that the strategy place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint. Additionally, my scripts output the current win streak and debt loss counts in the {{strategy.order.alert_message}} field. Depending on the condition, this script will output other useful values in the JSON “comment” field of the alert message. Here is an excerpt of the fields I use in my webhook signal:
"broker_id": "kraken",
"account_id": "XXX XXXX XXXX XXXX",
"symbol_id": "XMRUSD",
"action": "{{strategy.order.action}}",
"strategy": "{{strategy.order.id}}",
"lots": "{{strategy.order.contracts}}",
"price": "{{strategy.order.price}}",
"comment": "{{strategy.order.alert_message}}",
"timestamp": "{{time}}"
Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity.
Operation
This is a swing trading strategy so the fundamental behavior of this script is to buy on weakness and sell on strength. As such trade orders are placed in a counter direction to price pressure. What you will see on the chart is a short position on peaks and a long position on valleys. This is slightly misleading since a range as well as a trend are best recognized, in hindsight, after the patterns occur on the chart. In the middle of a trade, one never knows how deep valleys will drop or how high peaks will rise. For certain, long trades will continue to trigger as the market prices fall and short trades on rising prices. This means that the maximum efficiency of this strategy is achieved in choppy markets where the price doesn’t extend very far from its adjacent pivot point. Conversely, this strategy will be the least efficient when market conditions exhibit long continuous single direction price pressure. Especially, when measured in weeks. Translation, the trend is not your friend with this strategy. Internally, the script attempts to recognize prolonged price pressure and changes tactics accordingly. However, at best, the goal is to weather the trend until the range bound market returns. At worst, trend detection fails and pyramid trades continue to be placed until the limit specified in the Properties tab is reached. In all likelihood this could trigger a margin call and if it hits the stop it could wipe out your account.
This script has been in beta test four times since inception. During all that time no one has been successful in creating a configuration from scratch. Most people give up after an hour or so. To be perfectly honest, the configuration process is a bear. I know that but there is no way, currently, to create libraries in Pine. There is also no way specify input parameters other than the flattened out 2-D inputs dialog. And the publish rules clearly state that script variations addressing markets or symbols (suites) are not permitted. I suppose the problem is systemic to be-all-end-all solutions like my script is trying to be. I needed a cloud strategy for all the symbols that I trade and since Pine does not support library modules, include files or inter process communication this script and its unruly inputs are my weapon of choice in the war against the market forces. It takes me about six hours to configure a new symbol. Also not all the symbols I configure are equally successful. I should mention that I have a facsimile of this strategy written in another platform which allows me to run a backtest on 10 years of historical data. The results provide me a sanity check on the inputs I select on this platform.
My personal configurations use a 10 minute bar interval on forex instruments and 15 minutes on crypto. I try to align my TradingView scripts to employ standard intervals available from the broker so that I can backtest longer durations than those available on TradingView. For example, Bitcoin at 15 minute bars is downloadable from several sources. I really like the 10 minute bar. It provides lots of detectable patterns and is easy to store many years in an SQL database.
The following steps provide a very brief set of instructions that will get you started but will most certainly not produce the best backtest. A trading system that you are willing to risk your hard earned capital will require a well crafted configuration that involves time, expertise and clearly defined goals. As previously mentioned, I have several example configurations that I use for my own trading that I can share with you if you like. To get hands on experience in setting up your own symbol from scratch please follow the steps below.
Step 1. Setup the Base currency and order size in the properties tab.
Step 2. Select the calculation presets in the Instrument Type field.
Step 3. Select “No Trade” in the Trading Mode field
Step 4. Select the Histogram indicator from Section 2. You will be experimenting with different ones so it doesn’t matter which one you try first.
Step 5. Turn on Show Markers in Section 2.
Step 6. Go to the chart and checkout where the markers show up. Blue is up and red is down. Long trades show up along the red markers and short trades on the blue.
Step 7. Make adjustments to “Base To Vertex” and “Vertex To Base” net change and ROC in Section 2. Use these fields to move the markers to where you want trades to be.
Step 8. Try a different indicator from Section 2 and repeat Step 7 until you find the best match for this instrument on this interval. This step is complete when the Vertex settings and indicator combination produce the most favorable results.
Step 9. Go to Section 4 and enable “Apply Red Base To Base Margin”.
Step 10. Go to Section 5 and enable “Apply Blue Base To Base Margin”.
Step 11. Go to Section 2 and adjust “Minimum Base To Base Blue” and “Minimum Base To Base Red”. Observe the chart and note where the markers move relative to each other. Markers further apart will produce less trades but will reduce cutoffs in “Ping Pong” mode.
Step 12. Turn off Show Markers in Section 2.
Step 13. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Percentage is not currently supported. Note that the profit is taken as a conditional exit on a market order not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached.
Step 14. Return to step 3 and select a Trading Mode (Long, Short, BiDir, Ping Pong). If you are planning to trade bidirectionally its best to configure long first then short. Combine them with “BiDir” or “Ping Pong” after setting up both sides of the trade individually. The difference between “BiDir” and “Ping Pong” is that “Ping Pong” uses position reversal and can cut off opposing trades less than the specified minimum profit. As a result “Ping Pong” mode produces the greatest number of trades.
Step 15. Take a look at the chart. Trades should be showing along the markers plotted earlier.
Step 16. Make adjustments to the Vertex fields in Section 2 until the TradingView performance report is showing a profit. This includes the “Minimum Base To Base” fields. If a profit cannot be achieved move on to Step 17.
Step 17. Improve the backtest profitability by adjusting the “Entry Net Change” and “Entry ROC” in Section 4 and 5.
Step 18. Enable the “Mandatory Snap” checkbox in Section 4 and 5 and adjust the “Snap Candle Delta” and “Snap Fractal Delta” in Section 2. This should reduce some chop producing unprofitable reversals.
Step 19. Increase the distance between opposing trades by adding an “Interleave Delta” in Sections 4 and 5. This is a floating point value which starts at 0.01 and typically does not exceed 2.0.
Step 20. Increase the distance between opposing trades even further by adding a “Decay Minimum Span” in Sections 4 and 5. This is an absolute value specified in the symbol’s quote currency (right side scale of the chart). This value is similar to the minimum profit and stop loss fields in Section 1.
Step 21. The “Buy Composite Strength” input works in tandem with “Long Decay Minimum Span” in Section 4. Try enabling and see if it improves the performance. This field is only relevant when there is a value in “Long Decay Minimum Span”.
Step 22. The “Sell Composite Weakness” input works in tandem with “Short Decay Minimum Span” in Section 5. Try enabling and see if it improves the performance. This field is only relevant when there is a value in “Short Decay Minimum Span”.
Step 23. Improve the backtest profitability by adjusting the “Adherence Delta” in Section 4 and 5. This field requires the “Adhere to Rising Trend” checkbox to be enabled.
Step 24. At this point your strategy should be more or less working. Experiment with the remaining check boxes in Section 4 and 5. Keep the ones which seem to improve the performance.
Step 25. Examine the chart and see that trades are being placed in accordance with your desired trading goals. This is an important step. If your desired model requires multiple trades per day then you should be seeing hundreds of trades on the chart. Alternatively, you may be looking to trade fewer steep peaks and deep valleys in which case you should see trades at major turning points. Don’t simply settle for what the backtest serves you. Work your configuration until the system aligns with your desired model. Try changing indicators and even intervals if you cannot reach your simulation goals. Generally speaking, the histogram and Candle indicators produce the most trades. The Fractal indicator captures the tallest peaks and valleys. The Transform indicator is the most reliable but doesn’t well work on all instruments.
Example Settings
To reproduce the performance shown on the chart please use the following configuration:
1. Select XBTUSD Kraken as the chart symbol.
2. On the properties tab set the Order Size to: 0.01 Bitcoin
3. On the properties tab set the Pyramiding to: 10
4. In Section 1: Select “Forex” for the Instrument Type
5. In Section 1: Select “Ping Pong” for the Trading Mode
6. In Section 1: Input 1200 for the Minimum Profit
7. In Section 1: Input 15000 for the Stop Offset
8. In Section 1: Input 1200 for the Pyramid Minimum Span
9. In Section 1: Check mark the Ultra Wide Pyramids
10. In Section 2: Check mark the Use Transform Indicator
So to be clear, I used a base position size of one - one hundredth of a Bitcoin and allow the script to add up to 10 downward pyramids. The example back-test did hit eight downward pyramids. That means the account would have to be able to withstand a base position size (0.01) times 28. The resulting position size is 0.28 of a Bitcoin. If the price of Bitcoin is 35K then the draw down amount (not including broker fees) would be $9800 dollars. Since I have a premium subscription my backtest chart includes 20K historical bars. That's roughly six months of data. As of today, pro accounts only get 10K bars so the performance cannot be exactly matched with such a difference in historical data. Please keep that in mind.
There are, of course, various ways to reduce the risk incurred from accumulating pyramids. You can increase the “Pyramid Minimum Span” input found in Section 2 which increases the space between each pyramid trade. Also you can set a “Pyramid Bale Out Offset” in the same input section. This lets you out of the trade faster on position recovery. For example: Set a value of 8000 into this input and the number of trades increase to 178 from 157. Since the positions didn’t go full term, more trades were created at less profit each. The total brute force approach would be to simply limit the number of pyramids in the Properties tab.
It should be noted that since this is crypto, accumulating on the long side may be what you want. If you are not trading on margin and thus outright buying coins on the Kraken exchange you likely are interested in increasing your Bitcoin position at depressed prices. This is a popular feature on some of the other crypto trading packages like CryptoHopper and Profit Trailer. Click on Enable TV Long Only Rule in Section 1. This switches the signal emitter to long only. However, you may still see short trades on the chart. They are treated as a close instead of a reversal.
Feel free to PM me with any questions related to this script. Thank you and happy trading!
CFTC RULE 4.41
These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Directional Strength Panel█ OVERVIEW
The panel display trend momentum of selected coins/symbol (up to 6) based on the Arnaud Legoux Moving Average (ALMA). I'm using ALMA to measure the trend because it resolves 2 main issue of the more common moving averages, smoothing and responsiveness. By removing the minor fluctuations in price without sacrificing the responsiveness, the trend become much more clearer and easier to be measured.
In essence, as the meter approaches 100, it means the ALMA is pointing up (0 means pointing down)
█ Features
- Adjustable ALMA settings with options to turn on/off display the ALMA on current chart
- Select 6 symbols of your choice to be monitored in the settings (You have to manually update the label to display)
- Working on all timeframes
- Switch the panel color to suit background chart theme (Light/Dark)
█ Developer Notes
I'm working with table a lot lately and decided to publish this as a sample if anyone wishes to edit the script to display whatever they want. main calculation in get_data() function should be clamped to value between 0-100. As for the panel size, you can edit the row_max (currently set to 20 and 40) if you need it to be smaller or bigger (**i feel anything smaller than 16 is ugly)
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
Ichimoku with MACD/ CMF/ TSIThis is a very powerful trend strategy designed for markets such as stocks market , stock index and crypto.
For time frames I found out that 1h seems to do the trick.
Components:
Ichimoku full pack
MACD histogram
CMF oscillator
TSI oscillator
Rules for entry
Long :
For Ichimoku:Tenkan part of cloud is bigger than kijun, Chikou is above 0 , close of a candle is above the Senkou
MACD histogram is above 0
CMF oscillator is positive and bigger than 0.1
TSI oscillator is above 0
Short:
For Ichimoku:Tenkan part of cloud is smaller than kijun, Chikou is below 0 , close of a candle is belowthe Senkou
MACD histogram is below 0
CMF oscillator is negative and below -0.1
TSI oscillator is below 0
Rules for exit
This strategy does not have any risk management inside. Instead it exits whenver it receives an opposite signal form the original one used for entry.
If you have any questions let me know !
[Shitcoin Paradise]Take Profit + Stop LossThe Take profit + Stop loss indicator is built around The Matrix strategy , it is not suitable for anything else!
*Use it only on 4h charts*
How to use it:
- when a setup from The Matrix is ready, set the date and hour when that setup happened
- set the entry price
- set the targets (you can use the default ones)
- for conservative trading, check the "Use only one TP?" box
- set alert messages for every event
When the price reached the first TP, the stop loss will automatically be moved at entry price, yellow line (entry price) become red(stop loss).
The indicator can be set to have 3 take profits (it takes longer to finish a trade, the reward is greater, but also the risk is bigger), or the conservative way, with only one take profit.
The Take profit + Stop loss indicator uses 3 different stop losses in cascade, multiple algorithms and MTF to calculate them and calculate the starting point, from where the targets are calculated.
Scenario 1:
The price have a setup for continuing the trade, the price touches 1st TP, SL is moved to the entry price, the price reaches all targets => the trade is closed.
Scenario 2:
The price have a setup for continuing the trade, the price touches 1st TP, SL is moved to the entry price, the price fail to touch the other TPs and SL is triggered.
Scenario 3:
The price does not have a setup for continuing the trade, the SL is triggered.
Scenario 4 (conservative trading):
The price have a setup for continuing the trade, the price touches 1st TP => the trade is closed.
For invites, more details and questions, you can send us a private message.
Enjoy!
Shitcoin Paradise
[Shitcoin Paradise]The MatrixThe Matrix strategy is a strategy developed by @zsone and @edward_Z, that combine multiple indicators and algorithms on various time frames.
*Use it only on 4h charts*
The Matrix is built for multiple currencies/pairs and user friendly.
Features:
- possibility to choose your own crypto currencies
- setup is ready when the square from the Signal tab is green (3 green dots)
- set only 1 alert for the entire script (no need to set one alert for each pair)
- it uses multi time frames for better entries
- it uses multiple confirmations
- it have a safety net (you can set to not buy if the candle is greater than x%)
- can be easily paired with 3commas or other trading platform via webhooks
- it is user friendly, so it's ready to use/plug and play
The Matrix strategy gives setups for entries, after that you can set your own exits (take profit, stop loss, trailing stop...), or you can use our Take Profit + Stop Loss indicator , which is built for The Matrix.
For invites, more details and questions, you can send us a private message.
Enjoy!
Shitcoin Paradise
Cryptobull | Long / Short IndicatorCryptobull is a indicator based on the Williams R and Bollinger Band to find Long / Short entries (together with your strategy).
!!! The indicator is not working in every market situation -> so i recommend to add the indicator to your existing strategy !!!
Designed for:
->15m Chart
->5m Chart
->Crypto
->(Stocks)
I recommend using this indicator with Price Action or your own strategy to enter trades.
Whales Buy-Sell By CryptoScriptsThe Whales Buy-Sell indicator is very unique because it uses a combination of the smoothing range, average ranges, and hi-band/low-bands combined with various moving averages to nail whenever the overall trend is changing. This is extremely important during periods of high volatility and large moves. It helps to keep someone in a trade longer and get out fast if the trend is changing. The big caveat I can stress is waiting until the candle closes so that you know the signal is confirmed! Use the Bar Replay feature to further understand the intricacies of how the indicator produces signals. I find it is better on larger timeframes (1h and higher) because it's measuring larger trends. It can still be used on smaller timeframes but may not be as accurate. The big shortcoming is that is doesn't do well in choppy environments (i.e barely any price movement up or down) and you may get a lot of back and forth buy/sell signals so PLEASE keep that in mind. Experiment with various tickers/timeframes and see what works best for you :)
This indicator is a trend analysis indicator. Trend analysis is a technique used in technical analysis that attempts to predict future stock price movements based on recently observed trend data. Trend analysis is based on the idea that what has happened in the past gives traders an idea of what will happen in the future, but that is NOT always the case! Past performance is NOT indicative of future returns. There are three main types of trends: short-, intermediate- and long-term. Trend analysis tries to predict a trend, such as a bull market run, and then ride that trend until data suggests a trend reversal, such as a bull-to-bear market.
Alerts
You can set alerts for either a 'Buy Signal' or 'Sell Signal'. I recommend setting alerts for the candle close so that you know the signal is confirmed! If the "Add Alerts" option is greyed out for the indicator, just refresh your tradingview page and you should be able to see it :)
PM me to obtain access and please let me know if you have any questions!
Supertrend LSMA long StrategyThis is a long strategy which combines Super trend indicator with LSMA moving average.
In general it tends to works better with long trending markets such as stocks and cryptos using a big timeframe.
The rules are simple
Long entry:
Supertrend is telling us to go long and close of a candle is above moving average
Long exit:
Supertrend is telling us to go short
IF you have any questions, let me know !
Aroon Strategy long onlyThis is a simple long only strategy made of Aroon and Least Square moving average.
The rules are simple:
Long entry = crossover of upper part with the lower part from aroon and close of the candle is above the moving average
Long exit = crossunder of upper part with the lower part from aroon and close of the candle is below the moving average
IF you have any questions let me know !
Pivot Reversal strategy long onlyPivot Point Reversal Strategy
Pivot point reversal strategy is based on the first support level’s price action during the bullish trend and the first resistance level during the bearish trend . Traders follow the main trend and enter into the trade after reversal analyzing pivot point levels.
This version is an upgraded version, combining the initial pivot point reversal strategy together with one of the most accuracy moving average in my opinion for day trade, the Least square moving average.
At the same time I applied an option to backtest using a date range and a leverage calculator.
The default options are optimized for BTC /USDT 2H charts, using 0.1% comission fee.
If you have any questions, let me know
3x EMA fast, 3 x MA slow + BB + PsarThis is a trend system which combines multiple fast EMA + mulitple slower SMA together with bollinger band channel and PSAR.
For entry rules the ones that I use are:
Long
We are inside BB channel, psar is ascending, and our close is above all moving averages or below all EMA'S + 1 SMA
WE can exit either when our close is below all EMA's or when PSAR is descending or when we hit upper/lower BB levels
Short
We are inside BB channel, psar is descnending, and our close is below all moving averages or below all EMA's + 1 SMA
WE can exit either when our close is above all EMA's or when PSAR is ascending or when we hit upper/lower BB levels
If you have any questions, let me know
Crypto RSI with RVI StrategyThis is a long only strategy adapted for crypto market.
Its idea is to take the most juice out of a long trend and cut the losses as soon as possible.
For this , its components are RSI with a very big length - 100 or 200 preferably and RVI.
Rules for entry
If RVI is in the buy zone and we have a crossover from RSI with the overbought level.
Rules for exit
With change condition : If RVI is in the sell zone and we have a cross under from RSI with the oversold level.
With stop loss : we have a SL based on movement in % of the price, recommendable between 5-10%.
If you have any questions let me know !
Ichimoku + RSI Crypto trending strategyThis is a crypto trending strategy designed for big timeframes such as 3-4h+.
Its components are:
RSI
ICHIMOKU full pack
Heikin Ashi candles for logic calculation inside
Rules for entry.
For long : we have a long cross condition on ichimoku and price is above the ichimoku lines, and at the same time RSI value is > 50.
For long : we have a short cross condition on ichimoku and price is below the ichimoku lines, and at the same time RSI value is < 50.
Rules for exit
We exit whenever we receive an opposite signal of the initial entry.
SInce this strategy is using no risk management inside, I recommend to be careful with it .
If you have any questions, let me know !
BTC Sentiment analysis RSI 2xEMAThis is a CRYPTO correlation strategy, which is using BTC sentiment with BITFINEX long and short ratios.
WIth them we are making from one side 2 RSI, one for long and another for short. And from another side, we are going to make multiple EMA's, using the ratios for long and short.
Rules for entry
For this scenario I created a long only strategy.
The long entry condition is : we have a crossover of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is above the long EMA and short ratio from BITFINEX is below short EMA.
We exit when we get the opposite condition, in this case we have a crossunder of the rsi long ratio with rsi short ratio and long ratio from BITFINEX is below the long EMA and short ratio from BITFINEX is above short EMA.
If you have any questions, let me know !
3 RSI 6sma/ema ribbon crypto strategyThis is a very efficient swing trading strategy designed for crypto long timeframes like 2h+.
Initially we have 3 RSI .
AFter that we use them as source for 6 SMA/EMA for each RSI, 5, 30, 50, 70, 90, 100. With those we create a ribbon that we are going to use in order to check the direction of the trend.
Rules for entry:
For long : if either all the SMA/EMA's from the 2nd RSI are telling us to go long, or all the all SMA/EMA's from the 3rd rsi are telling us to go long F
For short : if either all the SMA/EMA's from the 2nd RSI are telling us to go short, or all the all SMA/EMA's from the 3rd rsi are telling us to go short
We exit when we get an opposite condition than the entry one.
Caution: this strategy has no risk management inside, so use it with caution. If you have any questions , let me know !
BTC Candle Correlation Strategy This is a special strategy adapted for crypto market, which instead of using the current chart candles, we use inside calculation a candle from different charts.
For best usage I recommend a big timeframe like 1-4h+.
In this case we take the high, low, open and close candles from different brokers for BTC, and with it we form up the candle that we are going to use for the logic of entry.
At the same time we are going to create an upper and lower bands using a moving average and the difference between high and low.
So in a way to put it, if BTC triggers a sell or buy order, we input instead these orders on the current chart, like in this example with ETH.
Rules for entry
For long : if we have a crossover of the btc source value with the upper band .
For short: if we have a crossunder of the btc source vale with the lower band.
For exit, we do it when we receive a different signal than the initial one.
This strategy does not have any other risk management inside, so use it with caution.
If you have any other questions, let me know !
RSVP Extractor By CryptoScriptsThis indicator has the same alerts as the VP Extractor except I overlaid the RSI on top of it (yellow line) to help take advantage when the RSI is overbought/oversold while also being able to see what the VP extractor is saying :)
It highlights yellow any time the RSI is below 30 (potential buy signal) and highlights orange anytime the RSI is above 70 (potential sell signal). You can also adjust the settings so that it'll highlight yellow when RSI is below 25 or 20 etc. so you can pick whatever value you want and the colors will adjust accordingly :) You can also set alerts for RSI overbought/oversold!
Please see the VP Extractor Alerts below! Those are still the same as before but since I now have RSI then you can be more confident in your signals if RSI is flashing a yellow shaded area (oversold) and the VP extractor is flashing a rocket symbol (buy), then both together would be a very strong buy signal. Using the RSI signals with the VP Extractor signals below will make you VERY successful with this indicator :)
The VP Extractor signals is a combination of the Volume Extractor and Price Extractor. There was a lot of coding involved in this one and it involves a Volume / Price Oscillator derived from various volume /price metrics combined with Bollinger Bands and Overbought/Oversold levels. This indicator is unique because it not only measures the standard deviations whenever the oscillator crosses outside the BBs but it does so at ranges that are most advantageous for the trader to identify KEY buy/sell levels (as shown above). I'll break down each signal below and how to best take advantage of them so you can get the best entries and capture the most profit per trade.
*This indicator works best on the Binance or Bybit exchange for crypto but also works for stocks and forex. It's best used on small-medium timeframes such as the 15min, 1h, 4h, 8hr, or 12h. It tends to give more false signals on the 1D timeframes and higher.
Red Alarm - this signal indicates that the volume and/or price oscillators are overbought and/or crossing outside of the bollinger bands . This is a STRONG sell signal but should still be combined with support/resistance levels and confirmed with other indicators.
Red Diamond - this signal indicates that the volume and price oscillators are crossing outside of the bollinger bands above the 20 level but is not yet overbought. This is a potential sell signal but should still be combined with support/resistance levels and confirmed with other indicators.
Red Shaded Area - this indicates the volume and price oscillators are overbought. This is a potential sell signal but should still be combined with support/resistance levels and confirmed with other indicators.
Rocket - this signal indicates that the volume and/or price oscillators are oversold and/or crossing outside of the bollinger bands . This is a STRONG buy signal but should still be combined with support/resistance levels and confirmed with other indicators.
Green Diamond - this signal indicates that the volume and price oscillators are crossing outside of the bollinger bands below the 20 level but is not yet oversold. This is a potential buy signal but should still be combined with support/resistance levels and confirmed with other indicators.
Green Shaded Area - this indicates the volume and price oscillators are oversold. This is a potential buy signal but should still be combined with support/resistance levels and confirmed with other indicators.
Input Options
Show 80 Levels - This checkbox will create a red zone and green zone for the 60-80 levels on the indicator. This is useful if the volume and price oscillators reaches one of these levels, you can be sure it's going to reverse soon and can have more confidence if it crosses outside of the BBs in addition to that.
VEO Length - This changes the height of the oscillator and will change how your signals flash (more or less often). Use this if you find you're getting too many signals or not enough. I find this is best at 21 but feel free to test out what works for you depending on your timeframe.
Moving Average Volume Source - This is currently set to None but you can change it to Exponential, Hull, or Simple moving average . I found that None works best but feel free to test out the different options.
Moving Average Length - Changing this length will do nothing to your chart if None is selected for the Moving Average Volume Source, therefore you will most likely keep this setting default at 9.
Alerts
I've set alerts on this indicator for each icon (Red Alarm, Red Diamond, Overbought, Rocket, Green Diamond, Oversold). I HIGHLY recommend setting the alerts for Candle Close so that you can be sure the signal is confirmed.
You may notice that the indicator can give multiple signals back-to-back or be overbought/oversold for multiple candles. When this happens, it's best to look at other indicators such as the RSI , MFI Pro, etc to nail the best entry and have confluence with your decision. With that said, having multiple signals back-to-back can also be an indication that the move is close to happening.
This indicator is a strong indicator by itself but works best when combined with my other indicators just as the Whales Buy-Sell and the MFI Pro as well as the RSI , and MACD i.e taking a trade when all indicators are showing overbought, "Buy", "Sell", etc. Measuring volume and price action is an extremely important aspect of trading and one I believe should not be overlooked. I hope I made everything as clear as possible and please let me know if I didn't.
PM me to obtain access and please let me know if you have any questions! :D
Bjorgum MTF MAScope:
Up to 3 MA's can be applied at the users discretion
Choose between 10 different average types including favorites from the Bjorgum series from HEMA to Reversal T3's
Each MA can be independently set
Go Multi-timeframe! Any MA can be set to any timeframe of reference you choose (ex. using 3 different timeframes of higher resolution to your chart reference to establish a multi-time frame trend)
RSI HEATMAP. Use the bar color or the MA color selection toggle to set your color to reference RSI on a gradient. This helps to establish clear visual reference to momentum on top of trend analysis
Assigning RSI bar color to an MA of a higher time frame can allow you to see visual reference of momentum of the greater trend that may be at play.
Example: trying to get short on a 15min while your 1hr and 4hr RSI Heatmap burns deep in oversold.
RSI color can be assigned to the bar color, the MA (1,2 or 3), or both. Alternatively, bar color can be assigned to a more simple rising/ falling MA color and price above/ below the MA for bar color.
ALL MTF FUNCTIONS ARE NON_REPAINTING.
The Idea
The original inspiration behind the script came from an observation of a constant struggle of Pinecoders of both youth or experience to find accurate multi-timeframe indicators that do not repaint, and appear as should on historical bars, while performing reliably in real time. I encourage you to scroll the Pinecoders FAQ on a recent piece explaining the difficulties and caveats of different approaches, but I would like to reference the elimination of the historical bar offset for THIS purpose. MA's are based on closing prices, that is to say they are confirmed and will not change once the bar has closed. There is no need to offset these for historical reference. The purpose of the historical offset is best exemplified, for example, with an intraday strategy involving daily breakouts. Let's entertain going long on a break to a new daily high. We would not know that in real time so we need to reference the previous bars close for BACKTESTING purposes, otherwise we get "lookahead bias". There is no shortage of strategies unintentionally employing this bias out there (I'm sure you have come across them with their unrealistic results).
There is no worry of repainting with the MTF security function included within this script, nor will it offset for something involving lookahead bias. I encourage those that are playing with the code or perhaps writing strategies of their own to borrow the functions within. There is also a function that will return the 10 MA variable selection - yours to keep.
With all that in mind, I wanted a practical script that is easily deployable in everyday trading for the average trader that gives the user a firm grip on their trading steering wheel equipped with the feel of the road. Incorporating several MA's of differing times with the RSI heatmap gives a good visual reference and feel to your trading environment, while offering a level of customization that will fit an individuals personal trading style. The RSI heatmap gradient is per percentage between 30 and 70 and your 2 colors - anything outside of those levels gives you the vibrant bias color
Below I walk through 2 examples of live trades scenarios I made using the mindset the script offers.
The Trade
LONG IZEA
Timeframe: 4hr chart
- 3 Tilson MA's of varying length are deployed at varying intraday time frames
- A bullish pattern in an uptrend offers a possible trade allowing entry from a low risk point from the pattern low
- See the chart for notes and observations using the script
- Notice how the heatmap brightens up as price extends far away from the averages - your risk has elevated for a new position
- Notice the heatmap cool off while price action consolidates sideways
The Trade
SHORT BTCUSDT
Timeframe: 4hr chart
- 3 EMAs are employed - same length (50), with 3 successive timeframe resolutions
- A downtrend is formed with a sharp move to stack the EMAs into layers
- A pull back opportunity presents itself in bearish consolidation
- Notice a Doji star at resistance establishing a swing high as RSI cools off into the EMA dynamic resistance for entry
- An '"equal legs" measured move can be used for a trade target with a stop out above the swing high.
- Again, take note of distance from EMA's, the heatmap in combination with trend development surrounding the MA's
These were just two ideas to show you an example of how to implement some strategy into your trading and to get some interesting use from the indicator. Hope you enjoyed the read and happy trading.
Compare Crypto Bollinger Bands//This is not financial advice, I am not a financial advisor.
//What are volatility tokens?
//Volatility tokens are ERC-20 tokens that aim to track the implied volatility of crypto markets.
//Volatility tokens get their exposure to an asset’s implied volatility using FTX MOVE contracts.
//There are currently two volatility tokens: BVOL and IBVOL.
//BVOL targets tracking the daily returns of being 1x long the implied volatility of BTC
//IBVOL targets tracking the daily returns of being 1x short the implied volatility of BTC.
/////////////////////////////////////////////////////////////////
CAN USE ON ANY CRYPTO CHART AS BINANCE:BTCUSD is still the most dominant crypto, positive volatility for BTC is positive for all.
/////////////////////////////////////////////////////////////////
//The Code.
//The blue line (ChartLine) is the current chart plotted on in Bollinger
//The red line (BVOLLine) plots the implied volatility of BTC
//The green line (IBVOLLine) plot the inverse implied volatility of BTC
//The orange line (TOTALLine) plots how well the crypto market is performing on the Bolling scale. The higher the number the better.
//There are 2 horizontal lines, 0.40 at the bottom & 0.60 at the top
/////////To Buy
//1. The blue line (ChartLine) must be higher than the green line (IBVOLLine)
//2. The green line (IBVOLLine) must be higher than the red line (BVOLLine)
//3. The red line (BVOLLine) must be less than 0.40 // This also acts as a trendsetter
//4. The orange line (TOTALLine) MUST be greater than the red line. This means that the crypto market is positive.
//5.IF THE BLUE LINE (ChartLine) IS GREATER THAN THE ORANGE LINE (TOTALLine) IT MEANS YOUR CRYPTO IS OUTPERFOMING THE MARKET {good for short term explosive bars}
//6. If the orange line (TOTALLine) is higher than your current chart, say BTCUSD. And BTC is going up to. It just means BTC is going up slowly. it's fine as long as they are moving in the same position.
//5. I use this on the 4hr, 1D, 1W timeframes
///////To Exit
//1.If the blue line (ChartLine) crosses under the green line (IBVOLLine) exit{ works best on 4hr,1D, 1W to avoid fakes}
//2.If the red line crosses over the green line when long. {close positions, or watch positions} It means negative volatility is wining
Multi-X by HamidBoxHello to All, introducing Multi Types Crossover strategy,
simply the best way of trading with Crossover and Crossunder Strategy, How it Works???
I added 5 types of Moving Averages,
1: Simple Moving Average ( SMA )
2: Exponential Moving Average ( EMA )
3: Weighted Moving Average ( WMA )
4: Volume Weighted Moving Average ( VWMA )
5: Relative Moving Average (RMA)
With this indicator, you can do scalping, You can trade not only with similar types of Moving Average indicators but also with different types of Moving Average indicators.
what is mean? like: Normal Condition is:
( Simple Moving Average ) Crossover to ( Simple Moving Average ), SMA x SMA
( Exponential Moving Average ) Crossover to ( Exponential Moving Average ), EMA x EMA
But we can Crossover with:
( Exponential Moving Average ) Crossover to ( Simple Moving Average ), EMA x SMA
( Simple Moving Average ) Crossover to ( Weighted Moving Average ), SMA x WMA
( Weighted Moving Average ) Crossover to ( Weighted Moving Average ), WMA x WMA
( Simple Moving Average ) Crossover to (Relative Moving Average), WMA x RMA
and also I added Moving Average ZONE in this tool, What does it work???
The zone will tell us what type of direction the market has, if the market is above the zone, it's mean we have a Bullish Trend, and if the market is below the zone, it means the market has a Bearish Trend,
so if you want to play on the safe side, never trade when the market is in Bearish Trend, and if you want to play on aggressive mood, you can skip Moving Average Zone section.
