EMA pullback strategyA solid EMA pullback strategy for cryptos 15 min chart that uses EMA crossing as signal and pullback as stop loss.
EMA1: shortest period for finding crossing (I find period = 33 profitable for BTCUSD, you can adjust it for other cryptos)
EMA2: 5x period of EMA1, for filtering out some trend reversals
EMA3: 11x period of EMA1, for determining trend direction
Rules are:
Long:
close price > EMA3
EMA1 > EMA3
close price pullbacks below EMA1 and then crosses up EMA1, enter at the first close price above EMA1
lowest pullback close price < EMA2 at the cross up
Short:
close price < EMA3
EMA1 < EMA3
close price pullbacks above EMA1 and then crosses down EMA1, enter at the first close price below EMA1
highest pullback close price > EMA2 at the cross down
Stop-loss at lowest/highest pullback price for long/short
Take profit = 2x stop-loss
Risk management: risk range can be set in the inspector. If the risk is lower than the range, the trade is not taken. if the risk is higher than the range, the position size is adjusted to keep the risk within range.
Cari dalam skrip untuk "profitable"
Gap RiderThis Indicator allows you to make statistics on the performance of any underlying on the days in which an opening gap occurs.
Specifically, the indicator was designed for "0 dte" options trades. In fact, it is possible to find parameters that give a good statistical advantage by opening a spread in the direction of the gap, creating a trade that has a risk-return ratio of 1: 1.
The indicator shows flags on the graph (green in case of gap up, red in case of gap down) and colored boxes (green in case the stock closed in the direction of the gap, red in case the stock closed in the opposite direction to the gap, yellow in the event that the stock closed at a distance that did not allow the spread in options to close in maximum loss or maximum profit, and therefore in breakeven)
The statistics panel, on the other hand, contains all the information necessary to search for parameters that give the trader a good statistical advantage.
In the settings you can filter the days of the week, only gap up or only gap down, ATR thresholds (volatility), points or minimum percentage for which a gap is taken into account, measure of the breakeven (which for options traders should represent the half the width of the spread to open), large gaps filter that takes into consideration only gaps that open out of range compared to the previous session. The Lookback parameter of course is used to set how many bars to take into account for the statistics.
Parameters and recommended strategy:
TODAY 31/08/2021 - Lookback 500 bars (2 years)
UNDERLYING: SPX
FILTERS: only Monday and Wednesday, only gap up, only gap> 0.01%
STRATEGY: exactly at opening, cover an ATM spread in the direction of the gap (example: gap up, I open a long call spread) that has the opening price as a break even, with a risk-return ratio of 1: 1 and leave it open until closing session, or set take profit at 90-95%. It is advisable to take into consideration the SPX statistics but to operate on the ES future so as to be able to open the spread a couple of minutes before the opening of the cash session and prevent the trade from "running away" due to too sudden movements of the opening. .
RESULTS:
124 Trade
70% profitable trades
30% losing trades
Max drawdown 3 trades
So assuming a spread on ES 10 points wide, each trade would gain or lose $ 250, applying the described strategy we would have in two years, investing only $ 250, a profit of $ 12500, with a max drawdown of $ 750. We would therefore have a profit of 5000%, or rather 2500% per year on the invested capital, with a drawdown of a much lower proportion of the profit ($ 750 compared to $ 6250 of annual profit).
The strategy is infinitely scalable by increasing the options contracts used and the impact of the commissions is almost zero.
MONEY MANAGEMENT: Example on a 50K account, with a spread that earns or loses $ 500, in two years it earns $ 25,000, therefore about 12500 per year, with a max drawdown of $ 1500, therefore 25% per year on the ENTIRE ACCOUNT with a maximum drawdown of 3%.
Note: the test was performed without a break even parameter, so the actual result will be more moderate, but of the same explosive nature.
** BUG STILL LOOKING FOR SOLUTION **
only in case the filters are set to take into account ONLY the gap down, the drawdown count in the statistics panel shows an incorrect result "
[UTILS] Unit Testing FrameworkTL;DR
This script doesn't provide any buy/sell signals.
This script won't make you profitable implicitly.
This script is intended for utility function testing, library testing, custom assertions.
It is free and open-source.
Introduction
About the idea: is not exclusive, programmers tend to use this method a lot and for a long time.
The point is to ensure that parts of a software, "units" (i.e modules, functions, procedures, class methods etc), work as they should, meet they design and behave as intended. That's why we use the term "Unit testing".
In PineScript we don't have a lot of entities mentioned above yet. What we have are functions. For example, a function that sums numbers should return a number, a particular sum. Or a professor wrote a function that calculates something or whatever. He and you want to be sure that the function works as expected and further code changes (refactoring) won't break its behaviour. What the professor needs to do is to write unit tests for his function/library of functions. And what you need to do is to check if the professor wrote tests or not.
No tests = No code
- Total test-driven development
Ok, it is not so serious, but very important in software development. And I created a tool for that.
I tried to follow the APIs of testing tools/libs/frameworks I worked or work with: Jasmine (Javascript), Mocha/Chai (Javascript), Jest (Javascript), RSpec (Ruby), unittest (Python), pytest (Python) and others. Got something workable but it would be much easier to implement (and it would look much better) if PineScript had a higher-order functions feature.
API
_describe(suiteName: string)
A function to declare a test suite. Each suite with tests may have 2 statuses:
✔️ Passed
❌ Failed
A suite is considered to be failed if at least one of the specs in it has failed.
_it(specName: string, actual: any, expected: any)
A function to run a test. Each test may have 3 statuses:
✔️ Passed
❌ Failed
⛔ Skipped
Some examples:
_it("is a falsey value", 1 != 2, true)
_it("is not a number", na(something), true)
_it("should sum two integers", _sum(1, 2), 1)
_it("arrays are equal", _isEqual(array.from(1, 2), array.from(1, 2)), true)
Remember that both the 'actual' and 'expected' arguments must be of the same type.
And a group of _it() functions must be preceded by a _describe() declaration (see in the code).
_test(specName: string, actual: any, expected: any)
An alias for _it . Does the same thing.
_xit(specName: string, actual: any, expected: any)
A function to skip a particular test for a while. Doesn't make any comparisons, but the test will appear in the results as skipped.
This feature is unstable and may be removed in the future releases.
_xtest(specName: string, actual: any, expected: any)
An alias for _xit . Does the same thing.
_isEqual(id_1: array, id_2: array)
A function to compare two arrays for equality. Both arrays must be of the same type.
This function doesn't take into account the order of elements in each array. So arrays like (1, 2, 3) and (3, 2, 1) will be equal.
_isStrictEqual(id_1: array, id_2: array)
A function to compare two arrays for equality. Both arrays must be of the same type.
This function is a stricter version of _isEqual because it takes into account the order of elements in each array. So arrays like (1, 2, 3) and (3, 2, 1) won't be equal.
Usage
To use this script to test your library you need to do the following steps:
1) Copy all the code you see between line #5 and #282 (Unit Testing Framework Core)
2) Place the copied code at the very beginning of your script (but below study())
3) Start to write suites and tests where your code ends. That's it.
NOTE
The current version is 0.0.1 which means that a lot of things may be changed on the way to 1.0.0 - the first stable version.
3Commas BotBjorgum 3Commas Bot
A strategy in a box to get you started today
With 3rd party API providers growing in popularity, many are turning to automating their strategies on their favorite assets. With so many options and layers of customization possible, TradingView offers a place no better for young or even experienced coders to build a platform from to meet these needs. 3Commas has offered easy access with straight forward TradingView compatibility. Before long many have their brokers hooked up and are ready to send their alerts (or perhaps they have been trying with mixed success for some time now) only they realize there might just be a little bit more to building a strategy that they are comfortable letting out of their sight to trade their money while they eat, sleep, etc. Many may have ideas for entry criteria they are excited to try, but further questions arise... "What about risk mitigation?" "How can I set stop or limit orders?" "Is there not some basic shell of a strategy that has laid some of this out for me to get me going?"
Well now there is just that. This strategy is meant for those that have begun to delve into the world of algorithmic trading providing a template that offers risk defined positions complete with stops, limit orders, and even trailing stops should one so choose to employ any of these criteria. It provides a framework that is easily manipulated (with some basic working knowledge of pine coding) to encompass ones own ideas and entry criteria, while also providing an already functioning strategy.
The default settings have a basic 1:1 risk to reward ratio, which sets a limit and a stop equal distance from the entry. The entry is a simple MA cross (up for long, down for short). There a variety of MA's to choose from and the user can define the lengths of the averages. The ratio can be adjusted from the menu along with a volatility based adder (ATR) that helps to distance a stop from support or resistance. These values are calculated off the swing low/high of the user defined lookback period. Risk is calculated from position entry to stop, and projected upwards to the limit as a function of the desired risk to reward ratio. Of note: the default settings include 0.05% commissions. Competitive commissions of the leading cryptocurrency exchanges are .1% round trip (one buy and one sell) for market orders. There is also some slippage to allow time for alerts to be sent and orders to fill giving the back test results a more accurate representation of real time conditions. Its recommended to research the going rates for your exchange and set them to default for the strategy you use or build.
To get started a user would:
1) Make a copy of the code and paste in their bot keys in the area provided under the "3Comma Keys" section
- eg. Long bot "start deal" copied from 3commas in to define "Long" etc. (code is commented)
2) Place alert on desired asset with desired settings ensuring to select "Order fills and alert() function calls"
3) Paste webhook into the webhook box and select webhook URL alerts (3rd party provided webhook)
3) Delete contents of alert message box and replace with {{strategy.order.alert_message}} and nothing else
- the codes will be sent to the webhook appropriately as the strategy enters and exits positions. Only 1 alert is needed
settings used for the display image:
1hr chart on BTCUSD
-ATR stop
-Risk adjustment 1.2
-ATR multiplier 1.3
-RnR 0.6
-MAs HEMA/SMA
-MA Length 50/100
-Order size percent of equity
-Trail trigger 60% of target
Experiment with your own settings on your crypto of choice or implement your own code!
Implementing your trailing stop (optional)
Among the options for possible settings is a trailing stop. This stop will ratchet higher once triggered as a function of the Average True Range (ATR). There is a variable level to choose where the user would like to begin trailing the stop during the trade. The level can be assigned with a decimal between 0 and 1 (eg. 0.5 = 50% of the distance between entry and the target which must be exceeded before the trail triggers to begin). This can allow for some dips to occur during the trade possibly keeping you in the trade for longer, while potentially reducing risk of drawdown over time. The default for this setting is 0 meaning unless adjusted, the trail will trigger on entry if the trailing stop exit method is selected. An example can be seen below:
Again, optional as well is the choice to implement a limit order. If one were to select a trailing stop they could choose not to set a limit, which could allow a trail to run further until hit. Drawdowns of this strategy would be foregoing locking gains at highs on target on other trades. This is a trade-off the user can decide on and test. An example of this working in favor can be observed below:
Conclusion
Although a simple strategy is implemented here, the benefits of this script allow a user a starting platform to build their strategies from with built in risk mitigation. This allows the user to sidestep some of the potential difficulties' that can arise while learning Pine and taking on the endeavor of automating their trading strategies. It is meant as an aid, a structure, and an educational piece that can be seen as a "pick-up-and-go" strategy with easy 3Commas compatibility. Additionally, this can help users become more comfortable with strategy alert messages and sending strings in the form of alerts from Pine. As well, FAQs are often littered with questions regarding "strategy.exit" calls, how to implement stops. how to properly set a trailing stop based on ATR, and more. The time this can save an individual to get started is likely of the best "take-aways" here.
Happy trading
Ichimoku Cloud Strategy IdeaThis strategy idea uses the famous Ichimoku Cloud (Forward-shifted SMA-9 and SMA-26) and Chiku (52-candle lagged close price) with its default parameters. This strategy is slow and issues few signals. However, this is one of the most performant long-term trend trading strategies. It usually works well on 1D and 4H timeframes and even better on trending instruments. This is the implementation used in QuantCT app.
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When both close price and chiku are above the cloud, market is considered rising (bullish) and the plotted cloud becomes green.
When both close price and chiku are below the cloud, market is considered falling (bearish) and the plotted cloud becomes red.
Otherwise, market is considered ranging and the plotted cloud becomes orange.
Entry/Exit rules
Enter LONG right after both close price and chiku went above the cloud (i.e. when the end of the plotted cloud becomes green).
Enter SHORT right after both close price and chiku went below the cloud (i.e. when the end of the plotted cloud becomes red).
EXIT market when close price enters the cloud.
CAUTION
It's just a bare trading idea - but a profitable one. You can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on several instruments (Like BTC , ETH, etc.), and also performs better in Long/Short mode on other instruments (Like VET, BNT, etc.).
Simple Buy/Sell StrategyThis is the strategy version of the original 'Simple Buy/Sell Indicator' by @Shizaru .
The original indicator description explains the logic behind the strategy:
"The original script was posted on ProRealCode by user Doctrading.
This little and simple code allows you to draw an indicator, which show you when buy or sell conditions are met.
For "buy" conditions, I did just set :
close > MM200
close > Parabolic SAR
MACD > 0
RSI7 > 50
For "sell" conditions : the opposite.
Of course, you can set what you want, in order to test your strategies.
Of course, to be profitable, you must also set your trading rules (entry, stop loss, trailing stop, take profit, etc.)
It's only an indicator, which doesn't show entry or exit rules."
Hope this helps someone!
Scalp ProScalp Pro is a scalping tool that uses the MACD mechanism. MACD lines are smoothed using fibonacci numbers and pi numbers. In this way, the noise on the signal is reduced. A " BUY " signal is generated when the lines cross upwards. If the lines cross down, a " SELL " signal is generated. The logic is very simple and the Indicator is very useful.
I wish you many profitable trades.
Kifier's MFI/STOCH Hidden Divergence/Trend BeaterMFI/STOCH Hidden Divergence/Trend Beater
General Idea:
My premise around this strategy was to make a general strategy for crypto that would help out with finding entry positions for when you’re bullish on a crypto and want to hold on for a while, and at the same time avoiding massive drops. Essentially a way to mix long term/ swing trading; I somewhat achieved my goal however it still requires a lot of logic tuning of the trend averages.
I’m a huge proponent of volume indicators and coupled with average closing price, I think this gives a really good idea of what is happening with the market. It gives an idea on the market and retail investor sentiment. This generally gives you logical entry positions (Although I don’t know how amazing that will work with all cryptos, there’s a fine line between a good strategy and one that just rides bubble market conditions, some would argue that’s still a success and others not)
How it works:
There are many components to the strategy that try to do different things:
First of all there are two types of entries, a MFI hidden divergence with a STOCH check, essentially it will only fire when a divergence is detected while STOCH is above 50%, however this might be changed in the future as due to the volatile nature of cryptos, the STOCH is not too effective. The second entry is a simple MFI/STOCH trend, if STOCH is above 50% and the trend is detected to be in a trending long, once a MFI crossover over the 50% line is detected an entry is placed, this is designed to get out profit where the divergence would otherwise be less accurate during strongly trending conditions.
-MFI is a great indicator, as a volume weighted momentum indicator I find it the most accurate of all, the STOCH however is a great indicator to get a general picture of simple market conditions and can filter out the emotional noise of retail investors.
-VWMA and an SMA (The bottom oscillator) gives an idea of the trend tacking into account of the volume, this serves as a more short term filter of the trend for filters.
-OBV checks are done between the OBV and an EMA of the OBV, to get the idea of a volume weighted long trend, which is important for crypto as there are massive rallies to go up due to retail greed, it’s great to jump onto it at the beginning, and get off before the stack of cards fall apart.
-ATR is used to detect when the market is relatively just ranging or moving sideways, which is where the hidden divergence entries are done, during predictable and profitable market conditions.
- Stop loss is based on the closest support of the entry, this is a nice medium of room to breath but also an actual stop loss.
Future plans and improvements:
Currently there’s a lot I want to improve, mostly the divergence detection and the overall sharpe ratio could be much better, but the current value of 0.5 gives me hope that the strategy is onto something. I also want to change TP from a percentage stop to something more dynamic but that might be too optimistic. The current plan is to paper trade test this either by manual or by a python bot, to see how it performs with some user input as well.
Chaikin Money Flow + MACD + ATRHere I present you on of Trade Pro's Trading Idea: Chaikin Money Flow + MACD + ATR.
This strategy is not as profitable as it can be seen in one of his videos. In the forex market, the strategy could reach a maximum of 35% profitability.
I have, as some of my followers have requested, created an overview of the current position, risk and leverage settings in the form of a table.
Furthermore, one can again swap between short and long positions.
It is now possible to select or deselect individual indicators.
I have chosen the ATR alone as a take profit stop loss, as in his strategy.
A position is only triggered as soon as all prerequisites have been fulfilled and a command is executed. This prevents false triggering by bots and repainting.
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How does the strategy work?
ENTRY
Long
The MACD indicator must be above the zero line.
Then the K line must cross the D line.
Finally, when this happens, the Money Flow Index must be above the zero line.
Short
Contrary to the premise of long positions.
EXIT
ATR Exit
The value of ATR at the time of buying is multiplied by the value entered in "Profit factor ATR" and "Stop factor ATR". As soon as the price reaches this value, it is closed.
Important
The script must be optimized for each coin or currency pair.
I will publish a guide to the strategy shortly. There I will explain how the table works and how to set the strategy correctly.
The results of the strategy are without commissions and leverage.
If you have any questions or feedback, please let me know in the comments.
RSI Cross [xaurr]This is simple but profitable rsi cross strategy, to find optimal values you can change rsi and ema periods.
Good Luck!
Financial Astrology Crypto ML Daily TrendThis daily trend indicator is based on financial astrology cycles detected with advanced machine learning techniques for the crypto-currencies research portfolio: ADA, BAT, BNB, BTC, DASH, EOS, ETC, ETH, LINK, LTC, XLM, XMR, XRP, ZEC and ZRX. The daily price trend is forecasted through this planets cycles (angular aspects, speed, declination), fast ones are based on Moon, Mercury, Venus and Sun and Mid term cycles are based on Mars, Vesta and Ceres. The combination of all this cycles produce a daily price trend prediction that is encoded into a PineScript array using binary format "0 or 1" that represent sell and buy signals respectively. The indicator provides signals since 2021-01-01 to 2022-12-31, the past months signals purpose is to support backtesting of the indicator combined with other technical indicator entries like MAs, RSI or Stochastic. For future predictions besides 2022 a machine learning models re-train phase will be required.
The resolution of this indicator is 1D, you can tune a parameter where you can determine how many future bars of daily trend are plotted and adjust an hours shift to anticipate future signals into current bar in order to produce a leading indicator effect to anticipate the trend changes with some hours of anticipation. Combined with technical analysis indicators this daily trend is very powerful because can help to produce approximately 60% of profitable signals based on the backtesting results. You can look at our open source Github repositories to validate accuracy using the backtesting strategies we have implemented in Jesse Crypto Trading Framework as proof of concept of the predictive potential of this indicator. Alternatively, we have implemented a PineScript strategy that use this indicator, just consider that we are pending to do signals update to the period July 2021 to December 2022: This strategy have accumulated more than 110 likes and many traders have validated the predictive power of Financial Astrology.
DISCLAIMER: This indicator is experimental and don’t provide financial or investment advice, the main purpose is to demonstrate the predictive power of financial astrology. Any allocation of funds following the documented machine learning model prediction is a high-risk endeavour and it’s the users responsibility to practice healthy risk management according to your situation.
SuperTrend - Custom Screener and Dynamic AlertsTrading View today published a desktop Bad Internet connection indicator ?! which set me thinking…
Despite recently introduced Dynamic Alerts many scripts do not leverage the information available for active traders and traders on the GO!
So decided to share this script totally ALERT focused on one of the most popular DAY trading indicators.
Of course no more BAD internet problem as long your TV APP is configured , you will have enough data for a mental picture of the chart..
The Alerts give you the BAR Close , %percent gain or loss over previous day CLOSE ++ Previous Day High and Low to effectively plan your trade without a chart!(just in case)
2 additions in the way Alerts are delivered over the last script :
1. You get SUMMARY alerts or concatenated alerts by default , however if you uncomment or activate code lines 48 and 55 you will get individual Stock alerts Too!
2. Summary Alerts will come only if there is some Buy or Sell signal NO more empty Alerts!
Few useful EXTRAS in the code :
1. Flexible code can convert any indicator to screener or Alert function.
2. You will NOT get Mutable Variable error while converting any indicator to screener as long as the function is in "GLOBAL" scope..
3. Many Custom Screeners are available but few give OHLC data in output so easily…and very difficult for traders to MODIFY hundreds of lines of code..
4. For UP or DOWN on SCREEN Stock monitoring copy /paste functions in line 41 and 42 in lieu of CROSS functions in 44 and 51 respectively..
5. You can also uncomment/activate lines 66 and 67 for labels in monitoring.
6. The default mode of the scripts is set to Alerts!
Max Stocks only 20!
Finally idea is to help traders to use the great features that TV works so hard to create and constantly improvise.
Enjoy Profitable Trading on the Fly !!
Ehlers Distance Coefficient Filter [CC]The Distance Coefficient Filter was created by John Ehlers and this is one of his more unknown moving averages. It works well because in an uptrend or downtrend it behaves more like a trailing stop system but it also deals with issues like pullbacks pretty quickly. I think it works well with the default values but let me know if you find a more profitable system. Buy when the indicator turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Ehlers Smoothed Adaptive Momentum [CC]The Smoothed Adaptive Momentum indicator was created by John Ehlers and this indicator gives a lot of useful information. When the indicator is above 0 then there is very strong upward momentum and when the indicator falls below 0 then there is very strong downward momentum. A very profitable way to use this particular indicator is buy long when the indicator is below 0 and it crosses over it's signal line and then sell of course when you get the first sell signal. I have included strong buy and sell signals in addition to normal ones so darker colors mean strong signals and lighter colors are normal signals. Buy when the line turns green and sell when it turns red.
Let me know if you have any other scripts you would like to see me publish!
Smart EMA SignalsThis indicator starts by plotting each time the price action crosses above or below the EMA, of which you can tune the timeframe and duration.
It then takes it a step further and plots whether or not that indicator would have given you a profitable trade, of which you can also tune the parameters (Max wait time, and % Profit).
Once you have your EMA tuned to your liking, set up alerts to notify you of a golden opportunity.
PMA Strategy IdeaThis strategy idea uses three EMAs on HLC/3 data, know as PMA(Pivot Moving Average). This strategy is very useful in trending instruments on 1W and 1D timeframes. This is the implementation used in QuantCT app. The study version of this idea is published in public library as ACD PMA .
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When all EMAs are rising, market is considered rising (bullish) and the plotted indicator becomes green.
When all EMAs are falling, market is considered falling (bearish) and the plotted indicator becomes red.
Otherwise, market is considered ranging and the plotted indicator becomes orange.
Entry/Exit rules
Enter LONG if all EMAs are rising (i.e. when the plotted indicator becomes green).
Enter SHORT if all EMAs are falling (i.e. when the plotted indicator becomes red).
EXIT market if none of the above (i.e. when the plotted indicator becomes orange).
CAUTION
It's just a bare trading idea - a profitable one. However, you can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on many (NOT All) trending instruments (Like BTC , ETH, etc.).
Momentum Strategy IdeaThis strategy idea uses two, fast and slow, momentum indicators for trade setups and exits. This is a fast reacting strategy which is very useful in trending instruments on 1D and 4H timeframes. This is the implementation used in QuantCT app.
You can set operation mode to be Long/Short or long-only.
You also can set a fixed stop-loss or ignore it so that the strategy act solely based on entry and exit signals.
Trade Idea
When both momentum indicators are positive, asset is considered rising ( bullish ) and the plotted indicator becomes green.
When both momentum indicators are negative, asset is considered falling ( bearish ) and the plotted indicator becomes red.
Otherwise, asset is considered ranging and the plotted indicator becomes orange.
Entry/Exit rules
Enter LONG if both momentum indicators are greater than zero (i.e. when the plotted indicator becomes green).
Enter SHORT if both momentum indicators are lower than zero (i.e. when the plotted indicator becomes red).
EXIT market if none of the above (i.e. when the plotted indicator becomes orange).
CAUTION
It's just a bare trading idea - a profitable one. However, you can enhance this idea and turn it into a full trading strategy with enhanced risk/money management and optimizing it, and you ABSOLUTELY should do this!
DON'T insist on using Long/Short mode on all instruments! This strategy performs much better in Long-Only mode on many (NOT All) trending instruments (Like BTC , ETH, etc.).
YesillimThe "Yesillim" indicator is a trend follower and trailing stop indicator that reacts quickly and aims to enter early in an uptrend and exit early from a downtrend. Since moving averages are used, it can be used in daytrade and scalping in daily or lower periods. The crossover and crossdown intersections of the price and the indicator line may be meaningful, but it is actually a color changing indicator and color changes should be interpreted. The bullish market gains strength when the color turns green, and the bearish market when it turns red. When prices get too far from the indicator, they are approaching again, in this case, it may be support will work like resistance according to the current trend. Like any indicator, it is possible to produce false signals in the horizontal market, so it should not be used alone, the oscillator and volume should support the current trend. In strong trend changes, angle changes in the indicator can also be interpreted manually. In this case, sharp angled turns indicate a sharp trend change. Technically customized weighted moving average weights are specially weighted with golden ratio coefficients, smoothed with a lower period for noise removal with the same principle and added bias. I wish it to be used in profitable transactions.
Turkish (Türkçe): Yeşillim indikatörü bir trend izleme ve hareketli iz süren indikatördür. Son barları agresif olarak ağırlıklandırdığı için var olan bir yükseliş trendine erken sokup, düşüş trendinden erken çıkarması olasıdır. İndikatör yorumlanırken fiyat ve indikatör kesişimleri anlamlı olsada (yükseliş düşüş trendlerinde destek-direnç görevi görebilecektir) ancak asıl amaç renk değişimi yorumlanmalıdır, yeşil yükseliş trendinin, kırmızı ise düşüş trendinin güç kazandığını göstermektedir. Her indikatör gibi yatay piyasada hatalı sonuçlar üretebilir, bu nedenle rsi, sokastik gibi bir osilatörle desteklenmesi hacimin mevcut trendi desteklemesi gerekmektedir. Kazançlı işlemlerde kullanılmasını temenni ederim.
[Sidders] MACDEMASAR IndicatorCame across a cool idea for a strategy that couldn't find in the indicator database, so decided to code it up myself for your pleasure.
Indicators consists of 3 indicators: EMA(200) to determine the overall trend, and the MACD & Parabolic SAR to determine entries (and exits).
Long entry contains 4 conditions and is generated when price is above the 200EMA (1), the MACD crosses above the signal line (2), while they are both below 0 line (3) and when the parabolic SAR is below the closing price of the bar (4).
Short entry is build up the same but in reverse: price is below the 200EMA(1), signal line crosses below the MACD line (2), while they are both above the 0 line (3) and when the parabolic SAR is above the closing price of the bar (4).
Place the stoploss on the parabolic SAR dot below/above the candle that created the signal. Profit target 1:1 risk:reward ratio, but can ofcourse be changed according to your risk apetite. Might add automatically drawn SL/TPs in a later update.
Concept behind the strategy should work on all timeframes, but will require proper backtesting. I think with additional filters the strategy can also be way more finetuned and profitable, personally haven't had the time yet to dive into that.
Have also added alerts for your convenience.
Enjoy!
MACD EMA - TradingRush StrategyHey there!
Today I present you a rather simple, but very profitable MACD strategy. Since I trade it with cryptocurrencies, the settings have been adjusted.
I discovered the strategy on a YouTube channel and tried to transfer it as a strategy into a script.
Tested with the crypto pair ETH/USDT in the 15 minute chart.
There is the possibility to switch between short and long positions.
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How does the strategy work?
ENTRY
The MACD indicator must cross below the histogram. If it crosses when the price is below the EMA, only short positions are traded. Above the EMA - long.
EXIT
The Lowest Low (long) / highest high (short) serves as the stop loss. The TP is formed on the basis of a factor. (SL multiplied by factor 2.1 = TP).
The red lines are used to illustrate the SL. Above for short positions below for long positions.
The results of the strategy are without commissions and levers.
If you have any questions or feedback, please let me know in the comments.
If you need more information about the strategy and want to know exactly how to apply it, check out my profile.
I wish you good luck with the strategy!
Stochastic OTTStochastic OTT is Anıl Özekşi's latest derived version of Optimized Trend Tracker on Stochastic Oscillator.
You might like to view the original version of the indicator if you don't know about OTT yet:
He tried to solve the fake signals of Stochastic Oscillator by adopting OTT on the indicator.
He advised users to set the stochastic smoothing parameters to 500 and 200 on his latest video about SOTT.
He personally uses 1 min charts on stock market so the parameters of the indicator might have to be optimized for other time frames nad markets.
He exaggerated the Stochastic to 1000's to have better signals of percent values of OTT.
Also hes used VIDYA in both calculations of OTT and Stochastic smoothing.
Hope you'll enjoy the SOTT in your profitable trades.
Kıvanç
Ehlers Simple Deriv Indicator [CC]The Simple Deriv Indicator was created by John Ehlers (Stocks and Commodities June 2021 pg 10) and this is a heavily modified version of his original script that changes the buy and sell signals. I did testing with his original settings but they didn't seem to be very profitable for most stocks so I created my own system. This indicator does have a lag though so it is best used for trend confirmation imo. Buy when the line turns green and sell when it turns red.
Let me know if there are any other indicators you would like to see me publish!
Daily PercentR StrategyThe PercentR strategy from Larry Williams is highly profitable on the daily nasdaq chart
Buy at the open if PercentR Indicator is above –87 and below –20
Exit at the end of the day.
