Cerca negli script per "MA Cross"
BTC Pi MultipleThe Pi Multiple is a function of 350 and 111-day moving average. When both intersect and the 111-day MA crosses above, it has historically coincided with a cycle top with a 3-day margin.
With the Pi Multiple, this intersection is visible when the line crosses zero upwards.
The indicator is called the Pi Multiple because 350/111 is close to Pi. It is based on the Pi Cycle Top Indicator developed by Philip Swift and has been modified for better readability by David Bertho.
Two MA Signal IndicatorThis Signal Indicator that emits a signal based on two MAs crossover/crossunder. It is designed to be used as an External Input for "Template Trailing Strategy" to verify the correctness of the External Deal Condition Mode of the aforementioned script and the Internal Strategy logic. Also, this script is a simple example on how to create custom signal indicators that can be "pugged" to the "Template Trailing Strategy" and get all the features this strategy script can provide!
Money Flow Index (double) by CoinStaghey Piners community,
this is an iteration of inbuilt MFI script, with two MFIs of different lengths and one Moving Average which is dependent on MFI 1.
I find it useful to see the trend of longer MFI period, which tells me what direction to trade. On shorter period MFI I'm looking at Oversold or Overbought zones - while quicker MFI index is there, I'm looking to Buy/Sell, depending on trend.
Alternatively, you can use also MFI1 and MA crossovers to spot potential entries.
It seems like a good tool for crypto markets on any timeframes - from 5min, to 4h.
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
RedK Compound Ratio Moving Average (CoRa_Wave)
Compound Ratio Weighted Average (CoRa_Wave) is a moving average where the weights increase in a "logarithmically linear" way - from the furthest point in the data to the current point - the formula to calculate these weights work in a similar way to how "compound ratio" works - you start with an initial amount, then add a consistent "ratio of the cumulative prior sum" each period until you reach the end amount. The result is, the "step ratio" between the weights is consistent - This is not the case with linear-weights moving average (WMA), or EMA
- for example, if you consider a Weighted Moving Average (WMA) of length 5, the weights will be (from the furthest point towards the most current) 1, 2, 3, 4, 5 -- we can see that the ratio between these weights are inconsistent. in fact, the ratio between the 2 furthest points is 2:1, but the ratio between the most recent points is 5:4 -- the ratio is inconsistent, and in fact, more recent points are not getting the best weights they should/can get to counter-act the lag effect. Using the Compound ratio approach addresses that point.
a key advantage here is that we can significantly reduce the "tail weight" - which is "relatively" large in other MAs and would be main cause for lag - giving more weights to the most recent data points - and in a way that is consistent, reliable and easy to "code"
- the outcome is, a moving average line that suffers very little lag regardless of the length, and that can be relied on to track the price movements and swings closely.
other features:
===============
- An accelerator, or multiplier, has been added to further increase the "aggressiveness" of the moving average line, giving even more weights to the more recent points - the multiplier will have more effect between 1 and 5, then will have a diminishing effect after that - note that a multiplier of 0 (which effectively causes a comp. ratio of 0 to be applied) will produce a Simple Moving Average line :)
- We also added the ability to use an "automatic smoothing" mechanism, that user can over-ride by manually choosing how much smoothing is used. This gives more flexibility to how we can leverage this Moving Average in our charting.
- User can also select the Resolution and Source price for the CoRa_Wave. by default, they will be set to "same as chart" and hlc3
here are the formulas for our Compound Ratio moving average:
Compound Weight ratio r = (A/P)^1/t - 1
Weight at time t A = P(1 + r)^t
= Start_val * (1 + r) ^ index
index in the above formula is 0 for the furthest point out
Here's how CoRa_Wave compares to other common moving averages all set to the same length (20)
Proposed Usage
- CoRa_Wave can be used for any scenarios where we need a moving average that closely tracks the price, trend, swings with high responsiveness and little lag
- MA Cross-over scenarios - against another CoRa_Wave or any other MA
- below is a quick example scenario for how to utilize 2 CoRa_Wave lines of same length (one for open and one for closing price) to track swings and trends
- get as creative as you need :)
Code is commented - please feel free to leverage or customize further as you need.
👉 if you are interested in other moving averages i posted before, please check out the FiMA and the v_Wave ...
+ True RSIThis is a better, cleaner version (in my opinion) of an part of an indicator I was using that was coded up by cI8DH. I reached out to him about cleaning up the code (things weren't working) for Pinescript v4, but he no longer seems to be active, so I thought I might take it upon myself to at least work out this portion of the indicator.
Much credit goes to him. Below is the indicator that he coded, of which only one part have I made additions to.
So, he calls this the True RSI. I was using it as part of the USI, which I posted above (it's the MA Percent indicator type). To my eyes it's not far different from the standard RSI, so I probably could have just made a version of that, but I like this one, and I was excited to add a few things (like candle coloring, which no longer works with his version!).
So, what's different?
I added two different background fills.
I made the lines types for the extremities and midline more appropriate for the indicator.
I added bullish, bearish, overbought, and oversold candle coloring.
I added a multitude of moving averages as well.
If this looks like my '+ %B' indicator, that is because I basically just moved the MA's and candle coloring code over. One could probably do this with many different indicators.
In the future I will probably add alerts, and maybe MA cross candles as well. Or not. Well, almost certainly alerts. Please enjoy!
CS Ultimate MA CrossThis indicator adds 5 Moving Averages on your chart. You can select the MA Type: SMA, EMA, RMA or VWMA.
By selecting a Fast MA and a Slow MA you can also draw a cloud to make the Bull or Bear bias more visual. Possibility to add on the chart Long/Short signal.
MTF possible by changing the range which is particularly useful for HTF analysis while looking a LTF price action.
Gastitan MA-cross/RSI/PSARThis script gives
moving average cross alert
RSI alert when change from bull to bear, and viceverse
Parabolic sar indicator
Also you have a panel with the current price and RSI values.
E_SMACD_And_Pine_TutorialI wrote this script to both be a Pine Script tutorial and a useable indicator. I use it for trading crypto based on trends I see in the ma crossovers, highs/lows, and volatility spikes.
Mathias & Christer Timeframe RSIThis strategy is based on High and low RSI.
If RSI is => 80 and RSI drops enter Sell position
If RSI is =< 20 anr RSI goes up enter Buy position.
as exit I use MA crosses
MA short (30)
MA Long (50)
eha MA CrossIn the study of time series, and specifically technical analysis of the stock market, a moving-average cross occurs when, the traces of plotting of two moving averages each based on different degrees of smoothing cross each other. Although it does not predict future direction but at least shows trends.
This indicator uses two moving averages, a slower moving average and a faster-moving average. The faster moving average is a short term moving average. A short term moving average is faster because it only considers prices over a short period of time and is thus more reactive to daily price changes.
On the other hand, a long term moving average is deemed slower as it encapsulates prices over a longer period and is more passive. However, it tends to smooth out price noises which are often reflected in short term moving averages.
There are a bunch of parameters that you can set on this indicator based on your needs.
Moving Averages Algorithm
You can choose between three types provided of Algorithms
Simple Moving Average
Exponential Moving Average
Weighted Moving Average
I will update this study with more educational materials in the near future so be informed by following the study and let me know what you think about it.
Please hit the like button if this study is useful for you.
Percent Trailing Stop %===========
Percent Trailing Stop %
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Another Stop Loss Indicator today - our last Fixed SL/TP script went down quite well, this one is for adding a Percent Trailing Stop from Entry Price to your own strategy.
You can ignore the actual entry/exit orders - they're based on a simple MA cross and are therefore NOT relevant, NOT profitable and NOT recommended!
You should be using this code as a way of adding a % Trailing Stop to your own scripts - hope it helps!
You should also notice that a generally considered losing strategy (a simple MA cross) could actually become profitable with careful money management - try combining this Trailing Stop script with our Fixed Stop/Take Profit script for really accurate management of your capital.
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Good Luck and Happy Trading!
CryptOli 3 MAs long/short Backtest// this is an educational Script - basicly its very simple - you can see how minimal changes impact results, thats why i posted it
// Credits to Quantnomad to publish tons of free educational script
// this Script is based on Quantnomads Ultimate MA Indicator
// HA - Option for calcultion based on HA-Candles (very famous recently)
// Source Input - Option (Candletype for calculation, close, ohlc4 ect.) --- there are huge differences --- try it by your own
Strategy VS Buy & HoldSUMMARY:
A strategy wrapper that makes a detailed and visual comparison between a given strategy and the buy & hold returns of the traded security.
DESCRIPTION:
TradingView has a "Buy & Hold Return" metric in the strategy tester that is often enough to assess how our strategy compares to a simple buy hold. However, one may want more information on how and when your strategy beats or is beaten by a simple buy & hold strategy. This script aims to show such detail by providing a more comprehensive metrics and charting the profit/loss of the given strategy against buy & hold.
As seen in the script, it plots/draws 4 elements:
1) Strategy P/L: strategy net profit + strategy open profit
2) Buy & Hold P/L: unrealized return
3) Difference: Strategy P/L - Buy & Hold P/L
4) Strategy vs Buy Hold Stats
> Percent of bars strategy P/L is above Buy & Hold
> Percent of bars strategy P/L is below Buy & Hold
> All Time Average Difference
ADJUSTABLE PARAMETERS:
All labels/panels can be disabled by unchecking these two options:
>bnh_info_panel = input(true, title='Enable Info Panel')
>bnh_indicator_panel = input(true, title='Enable Indicator Panel')
Comparison Date Range can be changed to better isolate specific areas:
>From Year, From Month, From Day
default: 1970 01 01
>To Year, To Month, To Day
default: 2050 12 31
Default settings basically covers all historical data.
HOW TO USE:
The default script contains a simple 50-200 SMA cross strategy, just delete and replace it. Those are everything between these lines:
/////////////////////////////////////////////////////////////////////////////////////
//////////////////////////////STRATEGY SCRIPT START//////////////////////////////////
(STRATEGY SCRIPT GOES HERE)
//////////////////////////////STRATEGY SCRIPT END////////////////////////////////////
/////////////////////////////////////////////////////////////////////////////////////
Removing all plots and drawings from your strategy is advisable.
If you are going to use the Comparison Date Range, apply "bnh_timeCond" to your strategy to align the dates. A sample on how it’s applied can be seen on the Placeholder MA cross strategy.
Note: bnh_timeCond returns a boolean series
QuantCat Intraday Strategy (15M)QuantCat Intraday Strategy
This strategy is designed to be used on the 15 minute time frame, on liquid x/btc pairs and BTC/USD.
It works by having 2 moving averages, automatic stop loss calculation, and taking positions on MA crosses and MA zone bounces for confirmation.
Stoploss is so crucial to minimise any damage from huge unexpected candles, the strategies can just be used for entries as well, you don't have to stick to the exact formula- of the long and short system, but this by itself is profitable.
The system nets positive results on
-BTC/USD
-ETH/BTC
-LTC/BTC
-XRP/BTC
There is a small element of trend filtering also for the MA's, but I found adding it in actually hindered performance when testing and training the strategies unless it was using a loose value.
You can get live alerts for this strategy and speak to our developers by joining our server on discord! (Link in signature)
SVAMA - A Non Parametric Adaptive Moving Average Based On VolumeIntroduction
Technical indicators often have parameters settings that the user must enter, those are inconvenient when the user must design a strategy because such settings must be optimized, it must also been noted that the optimal settings at time t could change at time t+n , this is why non parametric indicators are more efficient. Today i propose a moving average adapting to the market volume without using parameters affecting the smoothing.
The Indicator
The volume is rescaled in a range of (1,0) by using max or min normalization. Exponential averaging is used to provide the moving average.
When using max normalization the moving average react faster when the volume is closer to its all time high, when using min normalization the moving average react faster when the volume is closer to its all time low. You can select the method (max or min) from the "Method" parameter.
Volume tend to be higher and more periodic with higher time-frames, this is why lower time-frames might return smoother results when using the Max method. It is recommended to use the Max method when we want a faster moving average while the Min method is more suited to get a slower moving average.
Both methods can provide an interesting MA-Cross system when used on higher time frames.
Conclusion
There should be more non parametric indicators, this would allow for faster and easier optimization processes when creating a strategy, in theory any indicator using a moving average or highest/lowest could be made non parametric by using a running mean or running max/min but the indicator might loose important information.
This is one of my main focus right now since such indicators could also allow for improvements when used with artificial intelligence. I hope you find an use to it, don't hesitate to send me your suggestions.
Thanks for reading !
Adaptive Autonomous Recursive Trailing StopIntroduction
Trailing stop are important indicators in technical analysis, today i propose a new trailing stop A2RTS based on my last published indicator A2RMA (1), this last indicator directly used an error measurement thus providing a way to create enveloppes, which provide a direct way to create trailing stops based on highest/lowest rules.
The Indicator
If you need a more detailed explanation of this indicator i encourage you to check the A2RMA indicator post i made, parameters does not differ from the supertrend, thus having a length parameter and a factor parameter who is here described as gamma , gamma control how far away are the bands from each others thus spotting longer terms trends when gamma is higher.
On BTCUSD
Something worth mentioning is that the indicator sometimes behave like my MTA trailing stop indicator (2) who is closer to the price when a trend persist thus providing early exit points, however A2RTS behave a bit better.
Price can sometimes break the trailing stop, this can be interpreted as a support/resistance or just as an exit point, the support resistance methodology on trailing stop is not the most recommended.
Sometimes it is recommended to have an higher length rather than an high gamma like in this case for INTEL CORP, below gamma = 3 and length = 20
The microprocessor market like to use higher length's instead of higher gamma's , A2RMA is a non-linear filter, this would explain such behaviour.
Conclusion
Trailing stops might not suffer as much from whipsaw trades than MA crossovers but they still remain inefficient when market is not trending, results of the proposed indicator on major forex pairs are more than disappointing, but i hope this will serve as basis for other trailing stops that might act a little bit better. I conclude this post by thanking everyone who support my work and i encourage you to modify this indicator and share it with the community.
Thanks for reading !
Cited Articles
The Scale Of Sacred SoundsBased on the Sacred Sound Scale
How to use it:
This indicator is designed to capture the inferred behavior of traders and investors by using two groups of averages.
Meant for longer trades and trend indicator.
Used on any timescale as needed.
Can trade on long or short where the slow MA crosses fast Ma or where the Slow MA compresses and flips open again.
Follow the trend to the end - pot of gold at the end of the rainbow :-)
References:
Based on Daryl Guppy GMMA and
www.guppytraders.com
Read more at:
whatmusicreallyis.com
There is one tuning in which the frequencies 432, 528, 424 and 440 Hz can peacefully coexist. The scale has 32+1 pure harmonic tones and the reference frequency of 256 Hz. It comes from the Natural Ascending Series of Harmonics 32 to 64 of the 8 Hz Fundamental Tone, and represents its 6th double. I call this tuning The Scale of Sacred Sounds.
Representation using ancient Sumerian/Babylonian/Vedic math:
32; 33; 34; 35; 36; 37; 38; 39; 40; 41; 42; 43; 44; 45; 46; 47; 48; 49; 50; 51; 52; 53; 54; 55; 56; 57; 58; 59; 60; 61; 62; 63; 64
Representation using musical ratios:
1/1; 33/32; 17/16; 35/32; 9/8; 37/32; 19/16; 39/32; 5/4; 41/32; 21/16; 43/32; 11/8; 45/32; 23/16; 47/32; 3/2; 49/32; 25/16; 51/32; 13/8; 53/32; 27/16; 55/32; 7/4; 57/32; 29/16; 59/32; 15/8; 61/32; 31/16; 63/32; 2/1
The math for deriving one of the above series from the other is simple. Divide all numbers from the ancient series by the first, then simplify the fractions. Conversely, the series of ratios can be turned into the series of integers by calculating their least common denominator (the smallest whole number that is a multiple of all numbers under the fraction bar) and discarding it.
Logarithmic representation using musical constants (definition given further down):
0,000; 30,772; 60,625; 89,612; 117,783; 145,182; 171,850; 197,826; 223,144; 247,836; 271,934; 295,464; 318,454; 340,927; 362,905; 384,412; 405,465; 426,084; 446,287; 466,090; 485,508; 504,556; 523,248; 541,597; 559,616; 577,315; 594,707; 611,802; 628,609; 645,138; 661,398; 677,399; 693,147
Multi Indicators- MA, EMA, MA Cross, Parabolic SarMulti Indicators
- 3 Simple Moving Average
- 3 Exp Moving Average
- Cross of Moving Averages
- Parabolic SAR
On-Balance Volume MA CrossoversVolume-based momentum tracker. Look for divergences in price & volume momentum