Fib Cross Moving AveragesThe white line is the main 200-candle MA. The fibonacci ratio MAs are relative to that 200-day MA. Some lines change color based on the trend shown by this indicator.
So 61.8% for example, the orange/red line golden ratio MA is a 124 candle MA (~68% of 200). There is also a weighted 124 candle MA that works along-side the 100 candle MA.
在脚本中搜索"200元+股票大盘"
BB21_MA200_StrategyThis strategy follows the trend and keeps you in the trend until it breaks SMA 200
SMA setting is 200
BB setting is 21
BUY
====
when BB is (lower band and upper band) above SMA 200 and price crossing above BB middle line
Partial Exit
==========
When Lower BB crossing down SMA200 , exit 30%
Total Exit
=========
When BB middle band crosses down SMA200 , exit ALL
Stop Loss
======
default is set to 5%
Risk Management
================
This is new parameter I have introduced in my strategies. Default value is 10% . That means , if your capital is 10000 , you are willing to risk 10% of it ... i.e 1000.
It doesnot mean that you are buying shares/units for 1000 only. It is different ...see below
Your trade size is calculated based on Risk% .... capital x risk 5 / stop Loss units
for further explanation you can check Alexander Elder's risk management rule. He mentioned 2% rule for 100K account. But most of us dont have 100K accounts .. . so I have defaulted 10% on 10K account. You can change this values and see the results. It wont change the number of trades or profit factor. It will increase the net profit.
Warning
=======
For educational purposes only
72s: Adaptive Hull Moving Average+One challenging issue for beginner traders is to differentiate market conditions, whether or not the current market is giving best possibility to stack profits, as earliest, in shortest time possible, or not.
On intraday, we've seen some big actions by big banks are somewhat can be defined --or circling around-- by HMA 200 . I've been thinking on to make the visuals more conform to price dynamics (separating major movement and minor noise) to get clearer signs of when it starts to happen. So it will be easier to see in a glance when the strength starts really taken place, with less cluttered chart.
This Adaptive HMA is using the new Pine Script's feature which now support Dynamic Length arguments for several Pine functions. ( read: www.tradingview.com). It hasn't support the built-in HMA() directly, but thankfully we can use its wma() formula to construct. (Note: I tweaked a bit HMA formula already popular here by using plain int() instead of round() on its wma's length, since I find it precisely match tradingview's built-in HMA).
You can choose which aspect the Adaptive HMA period will adapt to.
In this study I present it with two options: Volume and Volatility . It will "moves" faster or slower depends on which situation the aspect is currently into. ie: When volume is generally low or volatile readings is not there, price won't move very much, so the adapting MA will slow down by dynamically lengthen the lookback period, and vice versa, and so on.
Colour-markings in the Adaptive resembles which situation explained above. In addition, I also combine it with slope calculation of the MA to help measuring trend-strength or sideway/choppy conditions.
This way when we use it as dynamic support/resistance it will be more visually-reliable.
Secondly, and more important, it might help us traders with better probability info of whether or not a trade should even worth to be made . ie: If in the mean time market won't give much movement, any profit would also only as much. In most cases, we might better save our dime for later or place it somewhere else.
HOW TO USE:
Aside from better dynamic support/resistance and clearer breakout confirmation, MA is coloured as follow:
YELLOW:
Market is in consolidation or flat. Be it sideways, choppy, or in relatively small movements. If it shows up in a trending market, it may be an earlier sign that current trend might about to change its direction, or confirming a price broke-out to another side.
LIGHT GREEN or LIGHT RED:
Tells if a trend is forming but still relatively weak (or getting weaker), as it doesn't have volume or volatility to support.
DARKER GREEN ot DARKER RED:
This is where we can expect some good and strong price movement to ride. If it's strong enough, many times it marks a start of new long-lasting major trend.
SETTINGS:
Charger:
Choose which aspect your HMA should plug itself into, thus it will adapt to it.
Minimum Period, Maximum Period:
172 - 233 is just my own setting to outmatch the static HMA 200 for intraday. I find it --in my style of trading-- best in 15m tf in almost any pair, and 15m to 1H for some stocks. It also works nicely with conventional EMA 200, sometimes as if they somewhat work hand-in-hand in defining where the price should go. But you can, ofcourse, experiment with other ranges, broader or narrower. Especially if you already have an established strategy to follow to. As you might do with:
Consolidation area threshold:
This has to do with slope calculation. The bigger the number means your MA needs bigger degree to define the market is out of flat (yellow) area. This can be useful if needed to lighten up the filter or vice-versa.
Background colouring:
Just another colouring to help highlighting the difference in market conditions.
ALERTS:
There are two alerts:
Volume Break: when volume is breaking up above average, and
Volatility Meter: when the market more likely is about to have its moment of the big wiggling brush.
USAGE:
Very very nice BUY entry to catch big up-movement if:
1. Price is above MA. (It is best when price is also not to far distance from the MA, or you can also use distance oscillator to help out too)
2. HMA's color is in darker green. Means it's on the charging plug with your chosen aspect.
3. RSI is above 50. This is to help as additional confirmation.
Clear SELL entry signal is same as above, just the opposite.
-------------------------------------------------------
Note:
Lower timeframe of course means more noise to be filtered. Depends on the instrument, you might need to tweak the settings a bit till it conform nicely and shows lots of good trades in history. Here's another example on GBPUSD 5m timeframe:
For exit/take-profit point, you can use a second faster period static HMA. Or you can also use RSI. Here's an example:
Don't get me wrong, on few occasions I found it's still best using static MA to spot fakeouts, breakouts, etc, especially ones that's been already use widely. If that's the case or price actions seems suspicious, simply put the same value for minimum and maximum period settings, and there you have the original HMA with extra features.
For developer, check in the code if you need to customise your own charger.
-------------------------------------------------------
That's it. Hopefully this Adaptive HMA+ could at least be a good sidekick to your own strategy, as it does mine. ;)
Lagged Donchian Channel + EMAThis strategy is based on a lagged 24 periods Donchian Channel and a 200 periods EMA .
The enter positions are calculated this way :
Bull entry
1. we wait for the close of a candle below the channel and it must be below the 200 EMA
2. the following candle must be a green one and close in the lagged channel
3. we put a long order at the close of the second candle, a stop loss at the low of last 3 candles and a x3 take profit
Bear entry
1. we wait for the close of a candle above the channel and it must be above the 200 EMA
2. the following candle must be a red one and close in the lagged channel
3. we put a short order at the close of the second candle, a stop loss at the high of last 3 candles and a x3 take profit
For both long or short positions :
If the order is not filled, it's cancelled if the price reach 50% of the TP or if the price reach the stop loss level
The position is closed if a new bear/bull condition appears in the other side of the position (if a bear appears when you're long and inversement)
Features :
Position calculator's included with leverage option
Labels of position can be plotted or not
Bull/Bear channels can be plotted with red and green filled
All parameters can be changed for backtesting
Better results have been got with defaults parameters on LTCUSDTPERP in H1 timeframe => profit factor of 2.84 with almost 100 positions.
Hope this strategy will be useful and it would be cool if I could get feedback, comments or better combinations of parameters !!
Don't hesitate to like and leave a comment ;)
@Mysteriown
DMA: Triple Moving AveragesMoving average is a simple, technical analysis tool. Moving averages are usually calculated to identify the trend direction of a stock or to determine its support and resistance levels. It is a trend-following—or lagging—indicator because it is based on past prices.
The longer the time period for the moving average, the greater the lag. So, a 200-day moving average will have a much greater degree of lag than a 20-day MA because it contains prices for the past 200 days. The 50-day and 200-day moving average figures for stocks are widely followed by investors and traders and are considered to be important trading signals.
This indicator was made to allow three moving averages to be displayed without needing to use up 3 charting indicators individually
This is fully complited mini trading system for each traders. Yopu can use short, middle and long view distance of traders interests on market and open your position with trend.
MACD-X, More Than MACD by DGTMoving Average Convergence Divergence – MACD
The most popular indicator used in technical analysis, the moving average convergence divergence (MACD), created by Gerald Appel. MACD is a trend-following momentum indicator, designed to reveal changes in the strength, direction, momentum, and duration of a trend in a financial instrument’s price
Historical evolution of MACD,
- Gerald Appel created the MACD line,
- Thomas Aspray added the histogram feature to MACD
- Giorgos E. Siligardos created a leader of MACD
MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum.
Mathematically expressed as;
macd = ma(source, fast_length) – ma(source, slow_length)
signal = ma(macd, signal_length)
histogram = macd – signal
where exponential moving average (ema) is in common use as a moving average (ma)
fast_length = 12
slow_length = 26
signal_length = 9
The MACD indicator is typically good for identifying three types of basic signals ;
Signal Line Crossovers
A Signal Line Crossover is the most common signal produced by the MACD. On the occasions where the MACD Line crosses above or below the Signal Line, that can signify a potentially strong move. The standard interpretation of such an event is a recommendation to buy if the MACD line crosses up through the Signal Line (a "bullish" crossover), or to sell if it crosses down through the Signal Line (a "bearish" crossover). These events are taken as indications that the trend in the financial instrument is about to accelerate in the direction of the crossover.
Zero Line Crossovers
Zero Line Crossovers occur when the MACD Line crossed the Zero Line and either becomes positive (above 0) or negative (below 0). A change from positive to negative MACD is interpreted as "bearish", and from negative to positive as "bullish". Zero crossovers provide evidence of a change in the direction of a trend but less confirmation of its momentum than a signal line crossover
Divergence
Divergence is another signal created by the MACD. Simply, divergence occurs when the MACD and actual price are not in agreement. A "positive divergence" or "bullish divergence" occurs when the price makes a new low but the MACD does not confirm with a new low of its own. A "negative divergence" or "bearish divergence" occurs when the price makes a new high but the MACD does not confirm with a new high of its own. A divergence with respect to price may occur on the MACD line and/or the MACD Histogram
Moving Average Crossovers , another hidden signal that MACD Indicator identifies
Many traders will watch for a short-term moving average to cross above a longer-term moving average and use this to signal increasing upward momentum. This bullish crossover suggests that the price has recently been rising at a faster rate than it has in the past, so it is a common technical buy sign. Conversely, a short-term moving average crossing below a longer-term average is used to illustrate that the asset's price has been moving downward at a faster rate and that it may be a good time to sell.
Moving Average Crossovers in reality is Zero Line Crossovers, the value of the MACD indicator is equal to zero each time the two moving averages cross over each other. For easy interpretation by trades, Zero Line Crossovers are simply described as positive or negative MACD
False signals
Like any forecasting algorithm, the MACD can generate false signals. A false positive, for example, would be a bullish crossover followed by a sudden decline in a financial instrument. A false negative would be a situation where there is bearish crossover, yet the financial instrument accelerated suddenly upwards
What is “MACD-X” and Why it is “More Than MACD”
In its simples form, MACD-X implements variety of different calculation techniques applied to obtain MACD Line, ability to use of variety of different sources , including Volume related sources, and can be plotted along with MACD in the same window and all those features are available and presented within a single indicator, MACD-X
Different calculation techniques lead to different values for MACD Line, as will further discuss below, and as a consequence the signal line and the histogram values will differentiate accordingly. Mathematical calculation of both signal line and the histogram remain the same.
Main features of MACD-X ;
1- Introduces different proven techniques applied on MACD calculation , such as MACD-Histogram, MACD-Leader and MACD-Source, besides the traditional MACD (MACD-TRADITIONAL)
• MACD-Traditional , by Gerald Appel
It is the MACD that we know, stated as traditional just to avoid confusion with other techniques used with this study
• MACD-Histogram , by Thomas Aspray
The MACD-Histogram measures the distance between MACD and its signal line (the 9-day EMA of MACD). Aspray developed the MACD-Histogram to anticipate signal line crossovers in MACD. Because MACD uses moving averages and moving averages lag price, signal line crossovers can come late and affect the reward-to-risk ratio of a trade. Bullish or bearish divergences in the MACD-Histogram can alert chartists to an imminent signal line crossover in MACD
The MACD-Histogram represents the difference between MACD and its 9-day EMA, the signal line. Mathematically,
macdx = macd - ma(macd, signal_length)
Aspray's contribution served as a way to anticipate (and therefore cut down on lag) possible MACD crossovers which are a fundamental part of the indicator.
Here come a question, what if repeat the same calculations once more (macdh2 = macdh - ma(macdh, signal_length), will it be even better, this question will remain to be tested
• MACD-Leader , by Giorgos E. Siligardos, PhD
MACD Leader has the ability to lead MACD at critical situations. Almost all smoothing methods encounter in technical analysis are based on a relative-weighted sum of past prices, and the Leader is no exception. The concealed weights of MACD Leader are such that more relative weight is used in the more recent prices than the respective weights used by the components of MACD. In effect, the Leader expresses more changes in average price dynamics for the recent price movement than MACD, thus eventually leading MACD, especially when significant trend changes are about to take place.
Siligardos creates two less-laggard moving averages indicators in its formula using the same periods as follows
Indicator1 = ma(source, fast_length) + ma(source - ma(source, fast_length), fast_length)
Indicator2 = ma(source, slow_length) + ma(source - ma(source, slow_length), slow_length)
and then take the difference:
Indicator1 - Indicator2
The result is a new MACD Leader indicator
macdx = macd + ma(source - fast_ma, fast_length) - ma(source - slow_ma, slow_length)
• MACD-Source , a custom experimental interpretation of mine ,
MACD Source, presents an application of MACD that evaluates Source/MA Ratio, relatively with less lag, as a basis for MACD Line, also can be expressed as source convergence/divergence to its moving average. Among the various techniques for removing the lag between price and moving average (MA) of the price, one in particular stands out: the addition to the moving average of a portion of the difference between the price and MA. MACD Source, is based on signal length mean of the difference between Source and average value of shot length and long length moving average of the source (Source/MA Ratio), where the source is actual value and hence no lag and relatively less lag with the average value of moving average of the source . Mathematically expressed as,
macdx = ma(source - avg( ma(source, fast_length), ma(source, slow_length) ), signal_length)
MACD Source provides relatively early crossovers comparing to MACD and better momentum direction indications, assuming the lengths are set to same values
For further details, you are invited to check the following two studies, where the first seeds were sown of the MACD-Source idea
Price Distance to its Moving Averages study, adapts the idea of “Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement", presented in an article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
First MACD like interpretation comes with the second study named as “ P-MACD ”, where P stands for price, P-MACD study attempts to display relationship between Price and its 20 and 200-period moving average. Calculations with P-MACD were based on price distance (convergence/divergence) to its 200-period moving average, and moving average convergence/divergence of 20-period moving average to 200-period moving average of price.
Now as explained above, MACD Source is a one adapted with traditional MACD, where Source stands for Price, Volume Indicator etc, any source applicable with MACD concept
2- Allows usage of variety of different sources, including Volume related indicators
The most common usage of Source for MACD calculation is close value of the financial instruments price. As an experimental approach, this study will allow source to be selected as one of the following series;
• Current Close Price (close)
• Average of High, Low, and Close Price (hlc3)
• On Balance Volume (obv)
• Accumulation Distribution (accdist)
• Price Volume Trend (pvt)
Where,
-Current Close Price and Average of High, Low, and Close Price are price actions of the financial instrument
- Accumulation Distribution is a volume based indicator designed to measure underlying supply and demand
- On Balance Volume (OBV) , is a momentum indicator that measures positive and negative volume flow
- Price Volume Trend (PVT) is a momentum based indicator used to measure money flow
3- Can be plotted along with MACD in the same window using the same scaling
Default setting of MACD-X will display MACD-Source with Current Close Price as a source and traditional MACD can be plotted eighter as a companion of MACD-X or can be selected to be plotted alone.
Applying both will add ability to compare, or use as a confirmation of one other
In case, traditional MACD Is plotted along with MACD-X to avoid misinterpreting, the lines plotted, the area between MACD-X Line and Signal-X Line is highlighted automatically, even if the highlight option not selected. Otherwise highlight will be applied only if that option selected
4- 4C Histogram
Histogram is plotted with four colors to emphasize the momentum and direction
5- Customizable
Additional to ability of selecting Calculation Method, Source, plotting along with MACD, there are few other option that allows users to customize the MACD-X indicator
Lengths are configurable, default values are set as 12, 26, 9 respectively for fast, slow and smoothing length. Setting lengths to 8,21,5 respectively Is worth checking, slower length moving averages will lead to less lag and earlier reaction to price actions but yet requires a caution and back testing before applying
Highlight the area between MACD-X Line and Signal-X Line, with colors emphasising the direction
Label can be added to display Calculation Method, Source and Length settings, the aim of this label is to server only as a reminder to trades to be aware of settings while they are occupied with charts, analysis etc.
Here comes another question, which is of more importance having the reminder or having the indicators with multi timeframe feature? Build-in Multi Time Frame features of Pine is not supported when labels and lines introduced in the script, there are other methods but brings complexity. To be studied further, this version will be with labels for time being.
Epilogue
MACD-X is an alternative variant of MACD, the insight/signals provided by MACD are also applicable to MACD-X with early and clear warnings for the changes in the trend.
If MACD is essential to your analysis, then it is my guess that after using the MACD-X for a while and familiarizing yourself with its unique character and personality, you will make it an inseparable companion to other indicators in your charts.
The various signals generated by MACD/MACD-X are easily interpreted and very few indicators in technical analysis have proved to be more reliable than the MACD, and this relatively simple indicator can quickly be incorporated into any short-term trading strategy
Disclaimer : Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
P-MACD by DGTPrice and Moving Averages Convergence/Divergence, shortly named as P-MACD
P-MACD is a trend-following momentum indicator that shows the relationship between Price and Long-term Moving Average (PMACD), and the relationship between two Moving Averages (MAMACD). P-MACD is composed of two lines, and an histogram, showing price distance (convergence/divergence) to its Long-term MA (PMACD), showing short-term MA distance (convergence/divergence) to long-term MA (MAMACD), and a histogram showing the difference (momentum) between the PMACD and MAMACD
The PMACD is calculated by dividing the Price to Long-term Moving Average (200-period SMA/EMA) and finally smoothed with 9-period SMA/EMA
- PMACD Line Formula : (Price / SlowMovingAverage -1) * 100 and smoothed with 9-period SMA/EMA
The MAMACD is calculated by dividing the Short-term Moving Average (such as 20 SMA/EMA) to the Long-term Moving Average (such as 200-period SMA/EMA)
- MAMACD Line Formula : (FastMovingAverage / SlowMovingAverage -1) * 100
The Histogram is calculated by subscripting PMACD and MAMACD
- Formula : PMACD - MAMACD
Optional
Trend Cloud calculated based on fast and slow version of MAMACD
What to look for:
- Line Crosses : PMACD Line can function as a trigger(signal) for buy and sell signals. Buy when the PMACD crosses above the MAMACD line and sell - or short - when the PMACD crosses below the MAMACD line
- Base Crosses : PMACD and/or MAMACD crosses above or below Baseline is another way to indicate the trend and momentum. MAMACD crosses of Baseline, MAMACD positive or negative, reflects short-term moving average crosses the long-term moving average and similarly, PMACD crosses of BaseLine, PMACD positive or negative, reflects price crosses a long-term moving average
- Momentum : P-MACD helps investors understand whether the bullish or bearish movement in the price is strengthening or weakening displayed with a histogram which graphs the distance between the PMACD and MAMACD. Additionally, upward momentum is confirmed with a bullish crossover, which occurs when PMACD and/or MAMACD crosses above Baseline. Conversely, downward momentum is confirmed with a bearish crossover, which occurs when PMACD and/or MAMACD crosses below Baseline
- Distance : Prices high above the moving average (MA) or low below it are likely to be remedied in the future by a reverse price movement. The more distant the PMACD is above or below its baseline indicates that the distance between the Price and its SMA is growing (regarding PMACD, You may find a detailed article explained in “Price Distance to its MA” indicator by DGT) . Similarly the more distant the MAMACD is above or below its baseline indicates that the distance between the two SMAs is growing
- Trend : A rising P-MACD indicates an uptrend, while a declining P-MACD indicates a downtrend
MACD vs. P-MACD
MACD measures the relationship between two MAs, while the P-MACD measures both the relationship between price and its MA, and the relationship between two MAs. MAMACD Line of P-MACD If set to same moving average type and same lengths as in MACD will produce the same line as MACD line, only values are represented as percentage with MAMACD. Both measure momentum in a market, but, because they measure different factors, they differentiate from each other even if they have similarities in presentation. P-MACD provides additional insights, not only to MA relation but also to Price and MA relation
Warning : Moving Average are calculated based on past prices, so they are lagging. The longer the time period for the moving average, the greater the lag as well as less sensitive to price changes. This study implements usage of 200-period long-term moving average, which implies that the P-MACD will provide insight especially for long-term trades, more suited for long-term trades, usage of P-MACD for short-term trades is recommend with lower timeframes (1H or lower).
Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques.
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Ultimate Moving Averages (SMA & EMA)Welcome to the Ultimate Moving Average indicator.
Never again spend time looking for EMA / SMA indicators when you can have them all in this single indicator.
Options include :
Daily Chart: Classic Golden / Death Cross - 50/D and 200/D SMA
Daily Chart: 3-day Golden / Death Cross - 150/D and 600/D SMA
Daily Chart: 140/D SMA
Daily Chart: 700/D SMA
Daily Chart: 1458/D SMA
Daily Chart: Golden Ratio Multiplier
Any Chart: Scalping
9 SMA
10 SMA
20 SMA
21 SMA
30 SMA
34 SMA
50 SMA
80 SMA
100 SMA
200 SMA
8 EMA
10 EMA
13 EMA
20 EMA
21 EMA
26 EMA
30 EMA
34 EMA
50 EMA
55 EMA
80 EMA
89 EMA
100 EMA
200 EMA
Simple Moving Average Double HelixThis one is a mix of colour-coded moving averages and Ichimoku. It features two pairs of SMAs--default values of 9/20 and 50/200. Each SMA will be green when it rises and red when it falls. The spaces between each pair will fill with green or red depending on which line is on top. 9 over 20 or 50 over 200 makes a green cloud; if 9 or 50 falls below, the cloud will switch to green.
There's also the Ichimoku lagging span and a 35-period SMA (grey) that can be used as a trailing stop loss guideline.
Ideal long setup:
9, 20, 50, and 200 SMA are all green
both clouds are green
lagging span is above historic price action
Ideal short setup:
9, 20, 50, and 200 SMA are all red
both clouds are red
lagging span is below historic price action
RSI Divergence X Ichimoku Cloud X 200EMAHi all,
This script is a combination of the RSI Divergence Strategy combined with Ichimoku Cloud and 200 EMA .
A long position is entered only when the RSI identifies a bullish divergence (either regular or hidden), and that the Ichimoku Cloud is above the 200 EMA . This is to ensure that there is a confirmation of a bullish trend before an entry.
Similarly, a short position is entered only when the RSI identified a bearish divergence (either regular or hidden), and that the Ichimoku Cloud is below the 200 EMA . This is to ensure that there is a confirmation of a bearish trend before an entry.
I find that this script works best on Intraday charts.
This is just a simple script I built on my third attempt of backtesting strategies on TradingView. Do give it a go and let me know if you guys have any feedback or comments about it. Happy trading!
Ivan_Long_Term_Cloud_BandThis is a combination of the 200 300 400 and 500 long terms weighted moving average.
The color code reflected the current uptrend or downtrend that the market is in by showing light green when 200 WMA is above the 300 WMA as well as showing darker green when 400 WMA is above the 500 WMA. On the other hand, when the 200 WMA is below the 300 WMA and the 400 beneath the 500, the band would be color-coded as light and deep red respectively to reflect the current level of support and resistance level.
BTC and ETH Long strategy - version 1I will start with a small introduction about myself. I'm now trading cryto currencies manually for almost 2 years. I decided to start after watching a documentary on the TV showing people who made big money during the Bitcoin pump which happened at the end of 2017.
The next day, I asked myself "Why should I not give it a try and learn how to trade".
This was in February 2018 and the price of Bitcoin was around 11500USD.
I didn't know how to trade. In fact, I didn't know the trading industry at all.
So, my first step into trading was to open an account with a broken. Then I directly bought 200$ worst of BTC . At that time, I saw the graph and thought "This can only go back in the upward direction!" :)
I didn't know anything about Stop loss, Take profit and Risk management.
Today, almost 2 years after, I think that I know how to trade and can also confirm that I still hold this bag of 200$ of bitcoin from 2018 :)
I did spend the 2 last years to learn technical analysis , risk management and leverage trading.
Today (14/05/2020), I know what I'm doing and I'm happy to see that the 2 last years have been positive in terms of gains. Of course, I did not make crazy money with my saving but at least I made more than if I would have kept it in my bank account.
Even if I like trading, I have a full time job which requires my full energy and lots of focus, so, the biggest problem I had is that I didn't have enough time to look at the charts.
Also, I realized that sometimes, neither technical analysis , nor fundamentals worked with crypto currency (at least for short time trading). So, as I have a developer background I decided to try to have a look at algo trading.
The goal for me was neither to make complex algos nor to beat the market but just to automate my trading with simple bot catching the big waves.
I then started to take a look at TV pine script and played with it.
I did my first LONG script in February 2020 to Long the BTC Market. It has some limitations but works well enough for me for the time being. Even if the real trades will bring me half of what the back testing shows, this will still be a lot more than what I was used to win during the last 2 years with my manual trading.
So, here we are! Below you will find some details about my first LONG script. I'm happy to share it with you.
Feel free to play with it, give your comments and bring improvements to it.
But please note that it only works fine with the candle size and crypto pair that I have mentioned below. If you use other settings this algo might loose money!
- Crypto pairs : XBTUSD and ETHXBT
- Candle size: 2 Hours
- Indicator used: Volatility , MACD (12, 26, 7), SMA (100), SMA (200), EMA (20)
- Default StopLoss: -1.5%
- Entry in position if: Volatility < 2%
AND MACD moving up
AND AME (20) moving up
AND SMA (100) moving up
AND SMA (200) moving up
AND EMA (20) > SAM (100)
AND SMA (100) > SMA (200)
- Exit the postion if: Stoploss is reached
OR EMA (20) crossUnder SMA (100)
Here is a summary of the results for this script:
XBTUSD : 01/01/2019 --> 14/05/2020 = +107%
ETHXBT : 01/01/2019 --> 14/05/2020 = +39%
ETHUSD : 01/01/2019 --> 14/05/2020 = +112%
It is far away from being perfect. There are still plenty of things which can be done to improve it but I just wanted to share it :) .
Enjoy playing with it....
Quad CCI ContainmentThe Quad CCI is a trend identification indicator described by Mark Whistler in his book 'Volatility Illuminated'. The reason for using four separate CCI channels is so that we can:
Prevent ourselves from taking positions against momentum.
Time our trades with short-term 'wrist-rocket' thrust from the larger market momentum.
Clearly determine whether the trend is up, down, or sideways.
In his book, Whistler refers to four CCI channels as 'The Four Horsemen'. The 100 and 200 are like big burly swordsmen, which are hard to budge without significant force. The 50-period CCI is more like the guy who's fast on his feet, but still tough enough to take on the big dudes. And the 14-period is similar to the scout of the party. The fastest of the bunch, but also the first to turn-tail at any sign of danger.
Basically, this means that when we see the 100 and 200-CCI stay above the 0 line, we can infer there really isn't any reason for them to move out of their range. The 50-period CCI will sometimes venture over the 0-line, before the hefty battlers. However, the 14-period will often venture (quickly) way out into the yonder, and he will always return to tell his pals what he's found. Crossing back over the 100-line, traders can take 'rocket trend reentry' positions (usually on the median); however, we still want to keep an eye on the flighty 14-period CCI character. If he crosses back over the +100 or -100 level he was just scouting, it means the larger weighted CCI lines could soon to follow too, as the whole bunch runs from larger momentum on the way.
Traders seeking to take a position 'with the trend' can attempt to purchase pullbacks on the mean if:
Longer-term CCI (at least the 200 and 100) are above zero.
The 50-period CCI is not below -100.
The 14-period travels back up from underneath the -100 area.
RVC-Buy-rulesTrend Template for short/medium/long term trading. Kindly use this along with other indicators.
Concept is simple "Buy the strength i.e. winners, sell the weakness i.e. losers"
//1. Current Price is above 150 and 200 day avg
//2. 150 day moving avg is more than 200 day avg
//3. 50-day moving avg is above 150-day and 200-day moving average
//4. current price is above 50 day moving average
//5. Current stock price is at-least 30% above 52-week low.
//6. Current stock price is with in 25% of 52-week high
//7. RSI is >60
Kindly modify and use it according to your need.
Incase if this script is found useful, please click on follow/like :)
McGinley Dynamic VWAP/MVWAP [Dayasagar]Mcginley Dynamics and Volume weighted moving average
Timeframe: 1 hour
Use 200 MA
Buy: If the price is above 200 MA, take only the buy signal.
Sell: If the price is below 200 MA, take only the sell signal.
7EMA_5MA (G/D + Bias + 12/26 Signal)This script alow you to survey multiple crossing signals as Golden/Death cross (MA50/200), Institutional Bias (EMA9/18), or EMA 12/26 crossing. You can show/hide all EMAs/MAs and show/hide all signals. Default config displays EMA 50/100/200 and MA 20. Full script includes display of EMA 9/18/12/26/50/100/200 and MA 20/21/50/100/200.
Sequentially Filtered Moving AverageThe previously proposed sequential filter aimed to filter variations lower than a certain period, this allowed to remove noisy variations and retain only the closing price values that occurred after a consecutive up/down, however because of the noisy nature of the closing price large filtering was impossible, in order to tackle to this problem the same indicator using a simple moving average as input is proposed, this allow for smoother results.
We will see that the proposed indicator can provide an alternative moving average that could be used as slow moving average in crossover systems.
The Indicator
The length parameter as the same function as the one described in the sequential filter post, however here length also control the period of the moving average used input, in short larger values of length will return a smoother but less reactive output.
In blue the moving average with length = 200, and in red the moving average with length = 50.
It is interesting to see how the moving average remain flat during ranging/flat market periods
Unfortunately like the sequential filter the sequentially filtered moving average (SFMA) is not affected by large short term variations such as gaps or short term volatile events. This is because of the nature of the sequential filter to ignore movements amplitude and only focus on the variation period.
Moving Average Crossover System
The SFMA is equal to a simple moving average of period length when a consecutive up/down sequence of size length has occurred, else the SFMA is equal to its precedent value, therefore we could expect less crosses between a fast moving average and the SFMA as slow moving average.
We can see on the figure above that the fast moving average of period 50 (in green) cross more with the slow moving average of period 200 (in red) than with the SFMA of period 200 (in blue).
Crosses can occur at the same time as with the classical slow moving average (in red) or a bit later.
Conclusion
A new moving average based on the recently proposed sequential filter has been proposed, it can be seen that under a moving average crossover system the proposed moving average seems to be more effective at producing less crosses without necessarily doing it with an excessive lag, in fact the moving average has either lag (length-1)/2 or lag length .
In the future it could be interesting to provide an hybrid alternative that take into account volatility as well as variations period.
Thanks for reading !
Multicolor Bollinger Bands - Market PhasesHi everyone
Hope you're all doing well 😘
Today I feel gracious and decided to give to the community. And giving not only an indicator but also a trading method
This trading method shows how a convergence based on moving averages is tremendous
Multicolour Bollinger Bands indicator that indicates market phases.
It plots on the price chart, thanks to different color zones between the bands, a breakdown of the different phases that the price operates during a trend.
The different zones are identified as follows:
- red color zone: trend is bearish, price is below the 200 periods moving average
- orange color zone: price operate a technical rebound below the 200 periods moving average
- yellow color zone: (phase 1 which indicate a new bearish cycle)
- light green zone: (phase 2 which indicate a new bullish cycle)
- dark green zone: trend is bullish, price is above the 200 periods moving average
- grey color zone: calm phase of price
- dark blue color zone: price is consolidating in either bullish or bearish trend
- light blue zones: price will revert to a new opposite trend (either long or short new trend)
By identifying clearly the different market phases with the multicolor Bollinger bands, the market entries by either a the beginning of a new trend or just after a rebound or a consolidating phase is easier to spot on.
Trade well and trade safe
Dave
EMA - Baby WhaleThis script will show you the 8, 13, 21, 55, 100 and 200 EMA .
You can change the colors yourself if you want.
You can use the EMA to define the trend.
A good strategy that traders use is a 55 EMA crossover.
This means that when the 8, 13 and 21 all cross the 55 EMA you place a buy or sell order.
You close your position when the same thing happens on the other side.
Another great way that traders use these EMA's is to spot a Golden or Death cross.
When the 55 and 200 EMA cross and the 200 becomes support it means we're in a uptrend and vice versa.
If you want access, just send a message please.
Much love from Baby Whale!!
🙏❤️🐳
BTC 1D Alerts V1This script contains a variety of key indicator for bitcoin all-in-one and they can be activated individually in the menu. These are meant to be used on the 1D chart for Bitcoin.
1457 Day Moving Average: the bottom of the bitcoin price and arguably the rock bottom price target.
Ichimoku Cloud: a common useful indicator for bitcoin support and resistance.
350ma fibs (21 8 5 3 2 and 1.6) : Signify the tops of each logarthmic rise in bitcoin price. They are generally curving higher over the long term. For halvening #3, the predicted market crash would be after hitting the 350ma x3 fib. Also the 350 ma / 111 ma cross signifies bull market top within about 3 days as well. Using the combination of the 350ma fibs and the 350/111 crosses, reasonably identify when market top is about to occur.
50,120,200 ma: Common moving averages that bitcoin retests during bull market runs. Also, the 50/200 golden and death crosses.
1D EMA Superguppy Ribbons: green = bull market, gray is indeterminate, red = bear market. Very high specificity indicator of bull runs, especially for bitcoin. You can change to 3D candle for even more specificity for a bull market start. Use the 1W for even more specificity. 1D Superguppy is recommended for decisionmaking.
1W EMA21: a very good moving average programmed to be shown on both the daily and weekly candle time. Bitcoin commonly corrects to this repeatedly during past bull runs. Acts as support during bull run and resistance during a bear market.
Steps to identifying a bull market:
1. 50/200 golden cross
2. 1D EMA superguppy green
3. 3D EMA superguppy green (if you prefer more certainty than step 2).
4. Hitting the 1W EMA21 and bouncing off during the bull run signifies corrections.
Once a bull market is identified,
Additional recommended buying and selling techniques:
Indicators:
- Fiblines - to determine retracements from peaks (such as all time high or recent highs)
- Stochastic RSI - 1d, 3d, and 1W SRSI are great time to buy, especially the 1W SRSI which comes much less frequently.
- volumen consolidado - for multi exchange volumes compiled into a single line. I prefer buying on the lowest volume days which generally coincide with dips.
- MACD - somewhat dubious utility but many algorithms are programmed to buy or sell based on this.
Check out the Alerts for golden crosses and 350ma Fib crosses which are invaluable for long term buying planning.
I left this open source so that all the formulas can be understood and verified. Much of it hacked together from other sources but all indicators that are fundamental to bitcoin. I apologize in advance for not attributing all the articles and references... but then again I am making no money off of this anyway.
Ultimate Moving Average Package (17 MA's)Included is the:
VWAP
Current time frame 10 EMA
Current time frame 20 EMA
Current time frame 50 EMA
Current time frame 10 SMA
Current time frame 20 SMA
Current time frame 50 SMA
Daily 10 EMA
Daily 20 EMA
Daily 50 EMA
Daily 50 SMA
Daily 100 SMA
Daily 200 SMA
Weekly 100 SMA
Weekly 200 SMA
Monthly 100 SMA
Monthly 200 SMA
All Daily/Weekly/Monthly MA's can be seen on intraday charts. Current time frame MA's change depending on your time frame. Obviously you dont need all 17 on your chart but you can pick the ones you like and disable the rest.
Fischy Bands (multiple periods)Just a quick way to have multiple periods. Coded at (14,50,100,200,400,600,800). Feel free to tweak it. Default is all on, obviously not as usable! Try just using 14, and 50.
This was generated with javascript for easy templating.
Source:
```
const periods = ;
const generate = (period) => {
const template = `
= bandFor(${period})
plot(b${period}, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Basis", transp=show${period}TransparencyLine)
pb${period}Upper = plot(b${period}Upper, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Upper", transp=show${period}TransparencyLine)
pb${period}Lower = plot(b${period}Lower, color=colorFor(${period}, b${period}), linewidth=${periods.indexOf(period)+1}, title="BB ${period} Lower", transp=show${period}TransparencyLine)
fill(pb${period}Upper, pb${period}Lower, color=colorFor(${period}, b${period}), transp=show${period}TransparencyFill)`
console.log(template);
}
console.log(`//@version=4
study(shorttitle="Fischy BB", title="Fischy Bands", overlay=true)
stdm = input(1.25, title="stdev")
bandFor(length) =>
src = hlc3
mult = stdm
basis = sma(src, length)
dev = mult * stdev(src, length)
upper = basis + dev
lower = basis - dev
`);
periods.forEach(e => console.log(`show${e} = input(title="Show ${e}?", type=input.bool, defval=true)`));
periods.forEach(e => console.log(`show${e}TransparencyLine = show${e} ? 20 : 100`));
periods.forEach(e => console.log(`show${e}TransparencyFill = show${e} ? 80 : 100`));
console.log('\n');
console.log(`colorFor(period, series) =>
c = period == 14 ? color.white :
period == 50 ? color.aqua :
period == 100 ? color.orange :
period == 200 ? color.purple :
period == 400 ? color.lime :
period == 600 ? color.yellow :
period == 800 ? color.orange :
color.black
c
`);
periods.forEach(e => generate(e))
```
MACD/EMA Long StrategyThis incredibly simple strategy uses a combination of the 20 EMA and bullish/bearish MACD crosses as a low risk method of getting in and out of markets.
Depending on whether the market is above or below the 200 SMA, the script determines if the market is in bullish or bearish territory. Above the 200 SMA, the script will ignore the 20 EMA as a buy condition and buy solely on the confirmation of a bullish MACD cross upon the close of a candle. In this bullish market, the script will only enable the sell condition if both the MACD is bearish AND a close below the 20 EMA occurs. This is to reduce the chances of the script selling prematurely in the event of a bearish MACD cross, if the market is still in overall bullish territory.
When the market is below the 200 SMA, the confirmation occurs in the opposite direction. The buy condition will only be met if both the MACD is bullish AND a close above the 20 EMA occurs. However, the sell condition ignores the 20 EMA and will sell solely on the confirmation of a bearish MACD cross upon the close of the candle.
This strategy can be used in both bullish and bearish markets. This conservative strategy will slightly underperform in a bull market, with the sell condition occasionally being met and then potentially buying back higher. However, it will successfully get you out of a turning market and automatically switch into a more 'risk-off' mentality during a bear market. This strategy is not recommended for sideways markets, as trading around the 20 EMA coupled with a relatively flat MACD profile can cause the strategy to buy the peaks and sell troughs easily.
