Everything Bitcoin [Kioseff Trading]Hello!
This script retrieves most of the available Bitcoin data published by Quandl; the script utilizes the new request.security_lower_tf() function.
Included statistics,
True price
Volume
Difficulty
My Wallet # Of Users
Average Block Size
api.blockchain size
Median Transaction Confirmation Time
Miners' Revenue
Hash Rate
Cost Per Transaction
Cost % of Transaction Volume
Estimated Transaction Volume USD
Total Output Volume
Number Of Transactions Per Block
# of Unique BTC Addresses
# of BTC Transactions Excluding Popular Addresses
Total Number of Transactions
Daily # of Transactions
Total Transaction Fees USD
Market Cap
Total BTC
Retrieved data can be plotted as line graphs; however, the data is initially split between two tables.
The image above shows how the requested Bitcoin data is displayed.
However, in the user inputs tab, you can modify how the data is displayed.
For instance, you can append the data displayed in the floating statistics box to the stagnant statistics box.
The image above exemplifies the instance.
You can hide any and all data via the user inputs tab.
In addition to data publishing, the script retrieves lower timeframe price/volume/indicator data, to which the values of the requested data are appended to center-right table.
The image above shows the script retrieving one-minute bar data.
Up arrows reflect an increase in the more recent value, relative to the immediately preceding value.
Down arrows reflect a decrease in the more recent value relative to the immediately preceding value.
The ascending minute column reflects the number of minutes/hours (ago) the displayed value occurred.
For instance, 15 minutes means the displayed value occurred 15 minutes prior to the current time (value).
Volume, price, and indicator data can be retrieved on lower timeframe charts ranging from 1 minute to 1440 minutes.
The image above shows retrieved 5-minute volume data.
Several built-in indicators are included, to which lower timeframe values can be retrieved.
The image above shows LTF VWAP data. Also distinguished are increases/decreases for sequential values.
The image above shows a dynamic regression channel. The channel terminates and resets each fiscal quarter. Previous channels remain on the chart.
Lastly, you can plot any of the requested data.
The new request.security_lower_tf() function is immensely advantageous - be sure to try it in your scripts!
Cari dalam skrip untuk "btc期权交割时间"
[CP]Pivot Boss Multi Timeframe CPR Inception with MACD and EMAINTRODUCTION:
This indicator combines multi-timeframe CPR bands with MACD Momentum and EMA trend, all projected on the candlestick chart through a novel visualization.
If you have seen my other indicators on TradingView, you would know that I use floor pivots a lot and “Secrets of a Pivot Boss” is my favorite book. While using floor pivots, time and again I have noticed an interesting price behavior,
Trending moves in price typically start from around the Central Pivot Range (CPR). The CPR could be from ANY timeframe. These moves can easily be caught using simple momentum and trend indicators like MACD and EMA crossovers.
Yes, it is that simple. Follow along to understand how to use this indicator.
INDICATOR SETTINGS:
RANGEBOUND MACD AND EMA MARKINGS:
TradingView limits the max number of labels that can be shown on a chart to 500. Therefore, if you go far back enough, you won't see any markings for the MACD or EMA setups. If you are looking to test the efficacy of this indicator in the past, change the start and end dates to your desired timeframe and then select the ‘Mark MACD and EMA Setups in Range?’ option.
MULTI TIMEFRAME CENTRAL PIVOT RANGE:
Here you can select CPRs and their bands from which timeframes are shown on the chart. I will share my favorite settings later in this description.
CPR CONFIGURATION:
Show CPR Labels: CPRs markings can carry labels, so that you don’t confuse between which line is what. Use this setting to toggle them On/Off.
Show Next Time Period Pivots: Check this option if you want to see the CPR of the next time period. This is typically done to figure out the ’Two Day CPR Relationship’ . Read the book, “Secrets of a Pivot Boss”, to understand more.
EMA TREND:
Show EMA on the Chart: EMAs will be plotted on the chart. Standard stuff.
Mark EMA Crossovers on Chart: EMA crossovers will be marked on the chart in diamond shapes. If you are using EMA crossovers, I recommend setting this option to True.
Rest of the EMA settings are fairly obvious.
MACD MOMENTUM:
Projecting MACD parameters directly on the candlesticks is surely going to give you a new perspective about price action and MACD.
Also, in order to better understand the MACD projections on the chart, you can add a standard MACD indicator on the chart with default settings to figure out what my indicator is actually showing you.
Marking MACD Crossovers on Chart: Marks the MACD signal crossovers on the chart. This visualization was a game changer for me.
Show MACD Histogram on Chart: Projects the complete MACD Histogram in a novel fashion (Try it!). You will be able to visually see the ebbs and flow of momentum in the charts.
Mark MACD Histogram Peaks on Chart: Marks only the MACD peaks instead of the complete histogram. Peaks are a great way to enter an ongoing trend and to play an intraday rangebound market.
Rest of the settings are just the standard settings that you will find in a typical MACD indicator.
ALERTS:
Not shown in the settings panel, but I have added alerts for EMA and MACD Crossovers so that you don’t have to sit in front of the charts or constantly check the price all day long.
If you don’t know how to set alerts in TradingView, then please Google it.
INDICATOR USAGE EXAMPLES:
This indicator can be used in intraday as well as in higher timeframes.
There are quite a few variations possible, I personally prefer to use the EMA crossovers in intraday (5m) and MACD on Daily timeframes.
This is just a matter of personal preference, some people might prefer using EMAs only or MACD only in all timeframes.
Here are my personal settings for the intraday 5-minute timeframe:
Turn on all the CPR pivots starting from Yearly all the way to Daily. You can turn on 6 hourly and 4 hourly as well if you want.
Hourly CPR is mostly used when the price is in a strong trend and you missed the entry and don’t know when to enter. Price will typically experience pullbacks towards the Hourly CPR, before resuming in the direction of the trend. That is your chance to hop onto the bandwagon.
For Intraday, I keep the Bands off. Just a personal preference here.
You can turn ON the Show CPR Labels , if you want.
Turn ON both the options in the EMA TREND section. You would want to see the EMA crossovers marked on the chart as well as the EMAs themselves, as the distance between the two EMAs will give you an idea about the strength of the trend.
Keep rest of the settings in the EMA section as default (you can change the colors if you wish). I keep the same EMAs as the ones kept in the MACD indicator. I like to keep things simple.
In the MACD MOMENTUM section, turn ON Mark MACD Histogram Peaks on Chart and all the other options turned OFF. Leave the other settings as default. By the way, these are the default settings of the standard MACD Indicator.
You can set up EMA Bullcross and Bearcross alarms if you like.
Before checking out the examples, remember one super simple rule:
SOME OF THE BEST TRENDING MOVES IN THE MARKET, BE IT INTRADAY OR OTHERWISE, ORIGINATE IN THE VICINITY OF A LARGER TIMEFRAME PIVOT/CPR.
Look for price settling above/below a pivot, and then a move away from the pivot in any direction is typically a trending move.
You can use hourly pivots or MACD Histogram peaks marked on the chart to enter an existing trend, or add to your positions.
Let’s have a look at a few recent intraday examples from the Crypto, Indian, and US equity markets.
I have added my comments in the charts to make you easily understand what is going on.
Understand that both, moving average crossover and MACD, will give out a lot of signals (chop) every day. But almost 70% of them are going to be fake signals. It is the signals that you get when the price is near a Pivot, that tend to convert into gorgeous trending moves that last.
BTC 5m Charts
NIFTY Futures 5m Charts (good intraday trends are hard to find here, as the market is very efficient)
TSLA 5m Charts
Some important points for using this indicator in higher timeframes:
For higher timeframes, my personal preference is to go with the MACD indicator. I personally find MACD to be lethal on daily and weekly timeframes, if you know how to use it well.
The default settings of the indicator are the settings I use for both, Daily and Weekly, timeframes. Additionally, I turn off the CPR labels.
In theory large trending moves still have a big probability to start near an important pivot level, however, in larger timeframes, trending moves can start from anywhere. They need not start in the vicinity of any important pivot (but they often do!).
Weekly pivots can act as great pullback levels when the price is in strong momentum, when trading on the daily timeframe.
Quarterly Pivots act as great pullback levels when the price is in strong momentum, when trading on the weekly timeframe.
BTC Weekly Chart
BTC Daily Chart
Nifty Weekly Chart
Nifty Daily Chart
NASDAQ Weekly Chart
NASDAQ Daily Chart
FINAL WORDS:
Please understand that I have Cherry Picked the examples to showcase the capability of the indicator and its usage.
DO NOT conflate the accuracy of examples with the accuracy of this indicator.
Biggest catch is the fact that this indicator, like every other indicator out there, will have whipsaws. Some I have also marked in the example charts.
You need to come up with your own technique to avoid whipsaws, one technique I have shared here…… big moves typically start near pivots.
Work on avoiding whipsaws and finding you own edge in the markets.
If you really want to learn how to use Pivots, read the book ’Secrets of a Pivot Boss’ . This book can change your life.
Aggregated Volume - By InFinitoVolume indicator that works like a normal Volume indicator with the following additional features:
- Aggregates Volume across different exchanges and Market Types - *Original Aggregation Code By Crypt0rus*
- Displays data by Market Type and combinations of Market Types (Spot, Futures , Perpetuals, Futures+Perpetuals & All Volume )
- Allows for the user to select the exchanges from which to aggregate Volume (This allows for the aggregation of any other pair i.e ETH, SOL, LUNA)
- Normalizes the Volume reported through TradingView by every exchange in order to homogenize the data (i.e Binance reports Bitcoin Volume in BTC terms BUT FTX reports Bitcoin Volume in USD)
- Allows for manual input of how Volume is reported in a particular Pair/Exchange (i.e If you want to aggregate data from the BTCEUR pair, you can select 'Other' and introduce the Value of EUR in USD terms)
COIN: Select this option if the volume is reported in terms of the asset traded ( BTC , ETH, SOL, etc....)
USD: Select this option if the Volume is reported in terms of the USD amount traded
OTHER: Select this option in case the Volume is reported in another currency (EUR, ETH, etc....)
NOTE: *ALL VOLUME IS AGGREGATED IN TERMS OF THE ASSET TRADED, FOR EXAMPLE IN THIS CASE: BTC . BUT IF YOU'RE AGGREGATING BNB PAIRS, VOLUME WILL BE CALCULATED TO BE DISPLAYED IN BNB TERMS*
Feel free to leave suggestions/questions in the comments or to message them directly to me
WAP Maverick - (Dual EMA Smoothed VWAP) - [mutantdog]Short Version:
This here is my take on the popular VWAP indicator with several novel features including:
Dual EMA smoothing.
Arithmetic and Harmonic Mean plots.
Custom Anchor feat. Intraday Session Sizes.
2 Pairs of Bands.
Side Input for Connection to other Indicator.
This can be used 'out of the box' as a replacement VWAP, benefitting from smoother transitions and easy-to-use custom alerts.
By design however, this is intended to be a highly customisable alternative with many adjustable parameters and a pseudo-modular input system to connect with another indicator. Well suited for the tweakers around here and those who like to get a little more creative.
I made this primarily for crypto although it should work for other markets. Default settings are best suited to 15m timeframe - the anchor of 1 week is ideal for crypto which often follows a cyclical nature from Monday through Sunday. In 15m, the default ema length of 21 means that the wap comes to match a standard vwap towards the end of Monday. If using higher chart timeframes, i recommend decreasing the ema length to closely match this principle (suggested: for 1h chart, try length = 8; for 4h chart, length = 2 or 3 should suffice).
Note: the use of harmonic mean calculations will cause problems on any data source incorporating both positive and negative values, it may also return unusable results on extremely low-value charts (eg: low-sat coins in /btc pairs).
Long version:
The development of this project was one driven more by experimentation than a specific end-goal, however i have tried to fine-tune everything into a coherent usable end-product. With that in mind then, this walkthrough will follow something of a development chronology as i dissect the various functions.
DUAL-EMA SMOOTHING
At its core this is based upon / adapted from the standard vwap indicator provided by TradingView although I have modified and changed most of it. The first mod is the dual ema smoothing. Rather than simply applying an ema to the output of the standard vwap function, instead i have incorporated the ema in a manner analogous to the way smas are used within a standard vwma. Sticking for now with the arithmetic mean, the basic vwap calculation is simply sum(source * volume) / sum(volume) across the anchored period. In this case i have simply applied an ema to each of the numerator and denominator values resulting in ema(sum(source * volume)) / ema(sum(volume)) with the ema length independent of the anchor. This results in smoother (albeit slower) transitions than the aforementioned post-vwap method. Furthermore in the case when anchor period is equal to current timeframe, the result is a basic volume-weighted ema.
The example below shows a standard vwap (1week anchor) in blue, a 21-ema applied to the vwap in purple and a dual-21-ema smoothed wap in gold. Notably both ema types come to effectively resemble the standard vwap after around 24 hours into the new anchor session but how they behave in the meantime is very different. The dual-ema transitions quite gradually while the post-vwap ema immediately sets about trying to catch up. Incidentally. a similar and slower variation of the dual-ema can be achieved with dual-rma although i have not included it in this indicator, attempted analogues using sma or wma were far less useful however.
STANDARD DEVIATION AND BANDS
With this updated calculation, a corresponding update to the standard deviation is also required. The vwap has its own anchored volume-weighted st.dev but this cannot be used in combination with the ema smoothing so instead it has been recalculated appropriately. There are two pairs of bands with separate multipliers (stepped to 0.1x) and in both cases high and low bands can be activated or deactivated individually. An example usage for this would be to create different upper and lower bands for profit and stoploss targets. Alerts can be set easily for different crossing conditions, more on this later.
Alongside the bands, i have also added the option to shift ('Deviate') the entire indicator up or down according to a multiple of the corrected st.dev value. This has many potential uses, for example if we want to bias our analysis in one direction it may be useful to move the wap in the opposite. Or if the asset is trading within a narrow range and we are waiting on a breakout, we could shift to the desired level and set alerts accordingly. The 'Deviate' parameter applies to the entire indicator including the bands which will remain centred on the main WAP.
CUSTOM (W)ANCHOR
Ever thought about using a vwap with anchor periods smaller than a day? Here you can do just that. I've removed the Earnings/Dividends/Splits options from the basic vwap and added an 'Intraday' option instead. When selected, a custom anchor length can be created as a multiple of minutes (default steps of 60 mins but can input any value from 0 - 1440). While this may not seem at first like a useful feature for anyone except hi-speed scalpers, this actually offers more interesting potential than it appears.
When set to 0 minutes the current timeframe is always used, turning this into the basic volume-weighted ema mentioned earlier. When using other low time frames the anchor can act as a pre-ema filter creating a stepped effect akin to an adaptive MA. Used in combination with the bands, the result is a kind of volume-weighted adaptive exponential bollinger band; if such a thing does not already exist then this is where you create it. Alternatively, by combining two instances you may find potential interesting crosses between an intraday wap and a standard timeframe wap. Below is an example set to intraday with 480 mins, 2x st.dev bands and ema length 21. Included for comparison in purple is a standard 21 ema.
I'm sure there are many potential uses to be found here, so be creative and please share anything you come up with in the comments.
ARITHMETIC AND HARMONIC MEAN CALCULATIONS
The standard vwap uses the arithmetic mean in its calculation. Indeed, most mean calculations tend to be arithmetic: sma being the most widely used example. When volume weighting is involved though this can lead to a slight bias in favour of upward moves over downward. While the effect of this is minor, over longer anchor periods it can become increasingly significant. The harmonic mean, on the other hand, has the opposite effect which results in a value that is always lower than the arithmetic mean. By viewing both arithmetic and harmonic waps together, the extent to which they diverge from each other can be used as a visual reference of how much price has changed during the anchored period.
Furthermore, the harmonic mean may actually be the more appropriate one to use during downtrends or bearish periods, in principle at least. Consider that a short trade is functionally the same as a long trade on the inverse of the pair (eg: selling BTC/USD is the same as buying USD/BTC). With the harmonic mean being an inverse of the arithmetic then, it makes sense to use it instead. To illustrate this below is a snapshot of LUNA/USDT on the left with its inverse 1/(LUNA/USDT) = USDT/LUNA on the right. On both charts is a wap with identical settings, note the resistance on the left and its corresponding support on the right. It should be easy from this to see that the lower harmonic wap on the left corresponds to the upper arithmetic wap on the right. Thus, it would appear that the harmonic mean should be used in a downtrend. In principle, at least...
In reality though, it is not quite so black and white. Rarely are these values exact in their predictions and the sort of range one should allow for inaccuracies will likely be greater than the difference between these two means. Furthermore, the ema smoothing has already introduced some lag and thus additional inaccuracies. Nevertheless, the symmetry warrants its inclusion.
SIDE INPUT & ALERTS
Finally we move on to the pseudo-modular component here. While TradingView allows some interoperability between indicators, it is limited to just one connection. Any attempt to use multiple source inputs will remove this functionality completely. The workaround here is to instead use custom 'string' input menus for additional sources, preserving this function in the sole 'source' input. In this case, since the wap itself is dependant only price and volume, i have repurposed the full 'source' into the second 'side' input. This allows for a separate indicator to interact with this one that can be used for triggering alerts. You could even use another instance of this one (there is a hidden wap:mid plot intended for this use which is the midpoint between both means). Note that deleting a connected indicator may result in the deletion of those connected to it.
Preset alertconditions are available for crossings of the side input above and below the main wap, alongside several customisable alerts with corresponding visual markers based upon selectable conditions. Alerts for band crossings apply only to those that are active and only crossings of the type specified within the 'crosses' subsection of the indicator settings. The included options make it easy to create buy alerts specific to certain bands with sell alerts specific to other bands. The chart below shows two instances with differing anchor periods, both are connected with buy and sell alerts enabled for visible bands.
Okay... So that just about covers it here, i think. As mentioned earlier this is the product of various experiments while i have been learning my way around PineScript. Some of those experiments have been branched off from this in order to not over-clutter it with functions. The pseudo-modular design and the 'side' input are the result of an attempt to create a connective framework across various projects. Even on its own though, this should offer plenty of tweaking potential for anyone who likes to venture away from the usual standards, all the while still retaining its core purpose as a traders tool.
Thanks for checking this out. I look forward to any feedback below.
robotrading body-limitThis is a very simple and universal strategy. Good for crypto. For BTC/USD, shitcoin/BTC .
Strategy
Long positions only. If the candle is falling and the candle body is 3 or more times the average candle body, then open a long position by limit order.
If the candle is rising, we should close a long position.
Short positions are not used.
This is a counter-trend strategy.
The average body of a candlestick is the arithmetic average of the bodies of the previous 100 bodies.
Parameters
The multiplier is the number of times the candlestick body should be bigger than the average candlestick body to get a signal to open a long position.
Recommended
- A timeframe of 4 hours to 1 day
- Cryptocurrencies with large market capitalization
- you can use coin/USD, coin/USDT, coin/BTC , coin/ETH, etc
Ripple (XRP) Model PriceAn article titled Bitcoin Stock-to-Flow Model was published in March 2019 by "PlanB" with mathematical model used to calculate Bitcoin model price during the time. We know that Ripple has a strong correlation with Bitcoin. But does this correlation have a definite rule?
In this study, we examine the relationship between bitcoin's stock-to-flow ratio and the ripple(XRP) price.
The Halving and the stock-to-flow ratio
Stock-to-flow is defined as a relationship between production and current stock that is out there.
SF = stock / flow
The term "halving" as it relates to Bitcoin has to do with how many Bitcoin tokens are found in a newly created block. Back in 2009, when Bitcoin launched, each block contained 50 BTC, but this amount was set to be reduced by 50% every 210,000 blocks (about 4 years). Today, there have been three halving events, and a block now only contains 6.25 BTC. When the next halving occurs, a block will only contain 3.125 BTC. Halving events will continue until the reward for minors reaches 0 BTC.
With each halving, the stock-to-flow ratio increased and Bitcoin experienced a huge bull market that absolutely crushed its previous all-time high. But what exactly does this affect the price of Ripple?
Price Model
I have used Bitcoin's stock-to-flow ratio and Ripple's price data from April 1, 2014 to November 3, 2021 (Daily Close-Price) as the statistical population.
Then I used linear regression to determine the relationship between the natural logarithm of the Ripple price and the natural logarithm of the Bitcoin's stock-to-flow (BSF).
You can see the results in the image below:
Basic Equation : ln(Model Price) = 3.2977 * ln(BSF) - 12.13
The high R-Squared value (R2 = 0.83) indicates a large positive linear association.
Then I "winsorized" the statistical data to limit extreme values to reduce the effect of possibly spurious outliers (This process affected less than 4.5% of the total price data).
ln(Model Price) = 3.3297 * ln(BSF) - 12.214
If we raise the both sides of the equation to the power of e, we will have:
============================================
Final Equation:
■ Model Price = Exp(- 12.214) * BSF ^ 3.3297
Where BSF is Bitcoin's stock-to-flow
============================================
If we put current Bitcoin's stock-to-flow value (54.2) into this equation we get value of 2.95USD. This is the price which is indicated by the model.
There is a power law relationship between the market price and Bitcoin's stock-to-flow (BSF). Power laws are interesting because they reveal an underlying regularity in the properties of seemingly random complex systems.
I plotted XRP model price (black) over time on the chart.
Estimating the range of price movements
I also used several bands to estimate the range of price movements and used the residual standard deviation to determine the equation for those bands.
Residual STDEV = 0.82188
ln(First-Upper-Band) = 3.3297 * ln(BSF) - 12.214 + Residual STDEV =>
ln(First-Upper-Band) = 3.3297 * ln(BSF) – 11.392 =>
■ First-Upper-Band = Exp(-11.392) * BSF ^ 3.3297
In the same way:
■ First-Lower-Band = Exp(-13.036) * BSF ^ 3.3297
I also used twice the residual standard deviation to define two extra bands:
■ Second-Upper-Band = Exp(-10.570) * BSF ^ 3.3297
■ Second-Lower-Band = Exp(-13.858) * BSF ^ 3.3297
These bands can be used to determine overbought and oversold levels.
Estimating of the future price movements
Because we know that every four years the stock-to-flow ratio, or current circulation relative to new supply, doubles, this metric can be plotted into the future.
At the time of the next halving event, Bitcoins will be produced at a rate of 450 BTC / day. There will be around 19,900,000 coins in circulation by August 2025
It is estimated that during first year of Bitcoin (2009) Satoshi Nakamoto (Bitcoin creator) mined around 1 million Bitcoins and did not move them until today. It can be debated if those coins might be lost or Satoshi is just waiting still to sell them but the fact is that they are not moving at all ever since. We simply decrease stock amount for 1 million BTC so stock to flow value would be:
BSF = (19,900,000 – 1.000.000) / (450 * 365) =115.07
Thus, Bitcoin's stock-to-flow will increase to around 115 until AUG 2025. If we put this number in the equation:
Model Price = Exp(- 12.214) * 114 ^ 3.3297 = 36.06$
Ripple has a fixed supply rate. In AUG 2025, the total number of coins in circulation will be about 56,000,000,000. According to the equation, Ripple's market cap will reach $2 trillion.
Note that these studies have been conducted only to better understand price movements and are not a financial advice.
SNL Popular Moving Averages MTFSNL△ Popular Moving Averages MTF
Short title: PopMAs
These are popular moving averages used by various traders and they are multi-timeframe, i.e. you can see
the 200 day SMA on a 15 minute chart.
Four moving averages are also included for the current timeframe (20, 50, 100 and 200 EMA).
Not all moving averages are enabled by default. You can turn individual moving averges on or off in the
"Style" tab of the indicator's settings.
The way I see moving averages is that they do not represent a magic mathematical truth, but are simply the
result of many people agreeing on the same parameters. I guess the origin were five working days in a week
and therefore a month would be four times five, i.e. a 20 day SMA. 200 days are probably an estimate of
the work days in a year and the 50 day SMA represents a quarter year.
There are many indicators on TradingView that offer various adjustable moving averages, including
combinations and multi-timeframe. But my interest was to have an indicator with the most popular moving
averages and it should be multi-timeframe capable. By design I did not want to make the periods adjustable,
but you could add this easily if you like.
Here are some examples of poplular moving averages:
20 unit EMA : support on 4h BTC chart, Carl the Moon
20, 50, 100, 200 day SMA : classic trading all charts, Benjamin Cowen, Tone Vays
20, 50, 100, 200 week SMA: Benjamin Cowen
21 week EMA: well known BTC support, Benjamin Cowen
800 hour EMA: Traders Reality -> not possible in TradingView, represented as 33 day EMA
Known problems:
- I have not found a way to turn off floating labels according to a plot's state chosen in the "Style"
tab. So you will still see the label floating around even if you have turned off the moving average's
line. But you can always turn of all the floating labels in the settings.
- I have observed unexpected differences on multi-timeframe values: For example, looking at the true 20
week SMA on a weekly BTC chart showed a present time value of 43821 USD, but the value was 43908 USD
for the result of this call used in this script: security(syminfo.tickerid, "W", sma(close, 20))
The difference went away when switching my chart to weekly and back to 15 minutes.
Please comment if you know of other moving averages that are often and successfully used or if you find
that one of the included moving averages is irrelevant and should be removed from this script.
And I would very much appreciate any input regarding the mentioned known problems.
Financial Astrology Moon LongitudeMoon energy represent the masses, crowds, public places, children and emotions. The transit of the Moon through the zodiacal signs will color the crowd emotional responses that fluctuate based on the elemental qualities of the signs: fire (energetic and impulsive), earth (rigid, static, patient), water (assimilation, transformation, humor fluctuations), air (expansion, fervent, germination).
The daily average speed of the Moon is 13 degrees, for this reason the emotional elemental energy is transforming in average every 2 days and few hours, this mood fluctuations produces the short term instinctive and emotional actions performed by traders that forget the precise mathematical / statistical approach in favor of irrational and emotional impulses.
Based on statistical buy/sell frequency analysis we discovered that for BTC-USD, the Moon is usually bullish in zodiac signs: Aries, Libra, Scorpio, Aquarius and Pisces, the most relevant bullish sign is "Aquarius", from 206 observations in all the BTC-USD price history where Moon was in this sign the 60% of those days the price increased compared to the previous day. The bearish zodiac signs for BTC-USD are: Taurus, Cancer, Leo, Sagittarius and Capricorn, the most relevant bearish sign is "Capricorn".
Interestingly this zodiac sign locations tends to fluctuate during some periods of time and from the last 10 observations of the Moon transiting through Aries we noted that 7 of the 10 observations coincide with a dip, sometimes the Moon in Aries indicate the reversal of the short term trend, this is kind of expected considering that when Moon approaches Taurus the fall becomes more likely due to the fact that Moon in Taurus is a bearish signal.
With this indicator there is unlimited possibilities to explore across different markets and complementing with Moon phases this may be the perfect financial astrology indicator for those intraday traders that keep positions only for few hours.
We encourage you to analyze the Moon zodiac sign cycles in different markets and share with us your observations, leave us a comment with your research outcomes. Happy trading!
Note: The Moon longitude indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the longitude is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Hopper Trigger - Free Cryptohopper WidgetWelcome to our Tradingview cryptohopper trigger widget.
We designed this script to give Cryptohopper users the possibility to set up an alarm when btc is trending down. Cause of the BTCs behavior as the supertrend coin for the market it is better to turn your hopper off or be extremly careful when BTC is trending down. We implemented to types of alarms, because atm its not possible to automate using them to deactivate your hopper. On Alarm setup could be used to send signals every minute to trigger a push notification on your App or to trigger your Alexa. The other type of alarm only sends one single signal for normal purposes.
We recommend using this indicator in the 30 minute or 1 hour timeframe and to deactivate your hopper and deleting all positions when a alarm is signaling. The risk of a larger drop is very high in this marketphase. Never take an drop again using this approach. Little drawdown in bearish or ranging times but high reward in bullish times.
Smartgrow-Trading is a community project with the aim of developing the best and most successful trading strategies and sharing them with the community.
The basic idea of this script is to calculate how far an coin is away from its ATH , to gave warning signals for deactivating coins after they reached there ATH . So it could also be used for other coins and pairs.
If there are questions, write them into the comments or contact us directly over the direct message or social media. Happy Trading!
All Time High Warning - Free Cryptohopper WidgetWelcome to our Tradingview coin prediction filter.
We designed this script to give Cryptohopper users the possibility to set up an alarm when btc is close to All Time High. Cause of the BTCs behavior as the supertrend coin for the market it is better to turn your hopper off or be extremly careful when BTC is close to ATH.
We recommend deactivating the hopper and deleting all positions. The risk of a larger drop is very high in this marketphase.
Smartgrow-Trading is a community project with the aim of developing the best and most successful trading strategies and sharing them with the community.
The basic idea of this script is to calculate how far an coin is away from its ATH, to gave warning signals for deactivating coins after they reached there ATH. So it could also be used for other coins and pairs.
If there are questions, write them into the comments or contact us directly over the direct message or social media. Happy Trading!
Annualized Futures Spread2つの銘柄間のスプレッドを年率換算してオシレーターの枠に表示するスクリプトです。
(BTCUSD現物とBTC-0625先物契約のような2銘柄間で使用することを想定しています。)
設定で年率換算していない生の乖離率の表示に切り替えることも可能です。
初期設定ではFTXの BTCUSDとBTCUSD-0624、BTCUSDとBTC-1231、ETHUSDとETH-0625 が指定されています。
そのまま使用しても構いませんし、設定やソースコードを編集して活用してくださって構いません。
ーーーーーーーーーーーーー
This custom script can be used to display the annualized spread rate between two specified symbols like BTCUSD and BTC-0625.
It is also possible to display raw spreads that are not annualized. (Just simply clicking the checkbox in setting.)
The default settings are BTC0625 and BTCUSD, BTC1231 and BTCUSD, and ETH0625 and ETHUSD on FTX Exchange.
You may use it as-is, or edit the settings or modify the source code as you like.
(This script was removed due to a violation of the English-Only house rule once, so this is a repost with a revised title and text.)
Bitcoin Funds OverlayOverlay the Net Asset Value per Unit (NAVPU) of 4 different Bitcoin Funds on your Bitcoin chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to display the true underlying value of the fund.
Note that the metrics can change and therefore the graph is not accurate for long past timeframes.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
CT Reverse Pi Cycle Bitcoin Top IndicatorIntroducing the Reverse BTC Pi Market Cycle Top indicator
Much respect to Philip Swift the original creator of this idea and big thanks to Tradingview author Ninorigo for sharing the script which this indicator is based on.
Philip Swift has noted that:
Using the x2 multiple of the 350 day moving average along with the 111 day moving average provides an interesting market cycle indicator.
Over the past three market cycles, when the 350DMA x2 crosses below the 111DMA, Bitcoin price peaks in its market cycle, this has been accurate to within three days of Bitcoin price topping out.
Here I have modified an existing script by Tradingview author @Ninorigo which shows the moving averages and gives signals upon crossover by adding the following features:
A function which shows the price at which the 350DMA will Cross Below the 111DMA.
(This is calculated from the prior bar closing data and does not repaint)
An “anticipated cross” function which may give a 1 bar advanced warning of a cross.
(this is calculated from current bar values and may change and repaint)
The crossover levels are shown in an info label to the right of the current price.
When there is a BTC Pi Market Cycle Top anticipated cross on the next bar there will be an orange background signal.
When there is an actual BTC Pi Market Cycle Top cross there will be a red background signal
When there is an anticipated cross back there will be a blue background signal
When there is an actual cross back there will be a green background signal
This indicator will show the appropriate moving averages and crossover information from the daily timeframe regardless of the timeframe you are using.
This should be helpful in more accurately identifying the price level where the Pi Market Cycle moving averages will cross denoting a possible market cycle top.
It is interesting to note:
350 / 111 = 3.153
Which is the closest we can get to Pi when dividing 350 by another whole number.
This is a script to give another view and metric on an interesting experimental idea. This is not financial advice.
CryptoCompare [jameswestnz]Compares current ticker to the relative price of BTC, crypto total market cap (TOTAL), and crypto total market cap excluding BTC (TOTAL2) over the chosen time period.
e.g. compares what the relative price of BTC would have been based on it's percentage gains against LTC if you had invested in each at the start of the chosen period.
WholvolTotal Volume Of Crypto Pairs Based on TV Top Exchanges
See the whole volume with additional feature and options.
Report volume data in USD, BTC, itSelf.
See each exchange Share and Volume.
Static and Dynamic value filtering.
MAs crosses.
Note.1
Due to the pine limitations, we have selected the most important Exchanges which have valuable volume.
Note.2
When you choose to report stats in BTC unit and you have chart of altcoins, the BTC source price will extract from your pair exchange.
Note.3
When you choose to report stats in USD unit, Historical volume data worth will calculated using your entered source price BUT on Realtime data, script will use latest price(close) as source price.
Note.4
You must only select the exchanges which support your pair, otherwise you will see error.
Alt Season IndicatorThis indicator is a traffic light system to determine the nature of the crypto markets with 4 colour outputs
Colour 1 : Long BTC to USD
Colour 2 : Long Alts to USD (Alt Season)
Colour 3 : Short Alts to USD
Colour 4 : Short BTC to USD
The underlying calculations are based on the BTCUSD 20SMA Daily and the BTC Dominance 20 SMA Daily
Risk Metrics: Crypto VersionRisk Metrics for Crypto.
Market can be set to BTCUSD, BTCEUR, BTCCHF, BTCGBP, BTC1!, BTC2!, SPX, and DTB3
Beta
Correlation
Standard Deviation
Variance
R-squared
Crypto USD VolumeOften times I need to check the volume in cryptocurrency exchanges and I find myself checking which type of volume I am looking at, I need to manually make sense what the data is and converting it into USD volume which I end up going to CoinMarketCap website to verify whether my calculation is right.
Today I thought it was about time I created an automatic way to find the volume in USD Dollars. This is what this script does.
1 - It removes the base currency from the symbol (e.g., "BTCUSD", it would remove "BTC", leaving us with the "USD" part.). This is important because it helps us identify the currency the pair uses.
2 - It has different pair's variables, each is given a specific currency that the final volume is calculated from. (BTC, ETH, BNB and USD are the default currencies, for other ones, it must be added manually).
This works with all crypto symbols that include BTC, ETH, BNB and USD as currencies. If you modify it, please make sure to compare data with the exchange's one.
Simple Momentum Strategy Based on SMA, EMA and VolumeA simple, non short selling (long positions only, i.e. buy low and sell high) strategy. Strategy makes use of simple SMA, EMA and Volume indicators to attempt to enter the market at the most optimum time (i.e. when momentum and price are moving upwards). Optimum time is defined mainly by picking best timing for price moves higher based on upwards momentum.
This script is targeted / meant for an average/typical trader or investor. This is why a non short selling approach was selected for optimisation for this strategy because "typpical", "average" traders and investors usually use basic (i.e. minimum fees / free membership) exchanges that would not usually offer short selling functionality (at least without additional fees). The assumption used here is that only advanced and sophisticated traders and investors would pay for advanced trading platforms that enable short selling, have a risk appetite for short selling and thus use short selling as a strategy.
The results of the strategy are:
In an overall roughly bearish market (backward testing from beginning to end of 2018) i.e. the market immediately following the highs of around 20k USD per BTC, this strategy made a loss of £3231 USD on trades of a maximum of 1 BTC per long position.
But in an overall bullish market, it makes a profit of about $6800 USD from beginning of 2019 onwards by trading a maximum of 1 BTC per long position.
NOTE: All trading involves high risk. Most strategies use past performance and behaviour as indicators of future performance and that is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations too. One limitation is that unlike an actual performance record, simulated results do not represent actual trading and since the trades have not actually been executed, the results of those trades themselves do not have any influence on actual market results, which in real life they would have had (no matter how minor). Additionally, simulated results may have under or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also, by their nature, designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
inwCoin Average Position Price Calculator - For CryptocurrencyEver wonder what is my average entry ?
No need to use excel.
Just use this simple indicator to calculate average entry of your multiple positions.
How to use
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1) Just input your entries into each box. ( Buy price + buy amount )
2) If you don't want to use any input, just uncheck the checkbox.
How to read value
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- This indicator will calculate the asset amount you got when you purchase it, by asset amount = entry amount / entry price ( Eg. buy BTC at 10,000$ per BTC with 1,000 USD = 1000/10000 = 0.1 BTC )
- It will calculate your current value of the asset you holding and compare it with all of the money you already invested. Also the profit/loss.
- It will show the average entry price with the green line on the chart and in the textbox.
Godmode 4.0.0 [Oscillator]First off, a huge thank you to the following people:
LEGION:
LazyBear: www.tradingview.com
xSilas: www.tradingview.com
Ni6HTH4awK: www.tradingview.com
sco77m4r7and:
SNOW_CITY: www.tradingview.com
oh92: www.tradingview.com
alexgrover: www.tradingview.com
cI8DH: www.tradingview.com
DonovanWall: www.tradingview.com
Since I've been on TradingView I've become somewhat enthralled by Godmode and the collective work that goes in to it, so I decided to publish my own iteration, building off the ideas already present. (This is a great way to get familiar with Pine by the way, just in case there are any beginners reading this)
Changes
The first change I made was to allow the user to select whatever tickerid they wanted as a benchmark. If trading XBTUSD on BitMEX for example, the indicator will react to exchange-specific activity, which means it will respond to all the little whipsaws, whipsaws that can be especially present on a futures exchange. By typing CRYPTOCAP:BTC or CRYPTOCAP:TOTAL we endeavor to remove noise. It can also signal earlier. Less noise and less lag. Another idea would be to choose a benchmark that has a strong inverse relationship with the asset you're trading: try CRYPTOCAP:USDT as the benchmark against BTC to see what I mean.
I also added the ability to smooth the plot, yet again removing noise but adding considerable lag.
The linear regression of the wave-trend is calculated in place of the EMA. This is plotted as columns with the midline (50) as the base. This is just calculating the slope of the wave-trend and can signal a weakening trend before a reversal takes place.
Using cI8DH's True RSI script () as inspiration, I added a function for calculating the True TSI in an attempt to remove any bullish bias. Funnily enough, when I tried to do the same with the RSI I had some problems. I'll try to resolve this in the coming weeks.
Made slight changes to the aesthetics. Tried to bring the two main plots alive by making their bold, opaque colors stand off the subtle tones in the background.
To Do List
1. I would like to sort out the issue with the True RSI.
2. When the plots are smoothed, there's an issue with the green 'Caution!' dots appearing in the lower half of the indicator.
3. I'd like to adjust the code so that if the 'Benchmark' box is empty, that it will automatically register the current tickerid as the 'Benchmark'.
If anyone has any suggestions on other fixes or how to apply the fixes mentioned by me, please don't hesitate to reach out to me here or through other media platforms.
Want to Learn?
If you'd like the opportunity to learn Pine but you have difficulty finding resources to guide you, take a look at this rudimentary list: docs.google.com
The list will be updated in the future as more people share the resources that have helped, or continue to help, them. Follow me on Twitter to keep up-to-date with the growing list of resources.
Suggestions or Questions?
Don't even kinda hesitate to forward them to me. My (metaphorical) door is always open.
BITMEX:XBTUSD
CRYPTOCAP:BTC
CRYPTOCAP:TOTAL
CRYPTOCAP:USDT.D
Crypto MeasurerI'm proud to finally announce the Crypto measurer!!!, 20 coins chosen from the selection available at Binance, you're free to modify the code to add your own coins or remove them or if you use another exchange.
This works similar to the SCSM, except it's for cryptos, never miss a PUMP & DUMP scheme again, don't get tricked into buying the losing coins anymore. The stronger coins are at the top while the losing coins at the bottom, works on any TF too, but be careful of volatility in lower TFs.
This picture is only of ETH and BTC, see how ethereum rallies in mid april until mid may, then bitcoin becomes the more dominating coin and remains like that, pushing ETH/BTC lower.
Again, here it's the chart for ETH and BNB, with the corresponding comparison.
And here is LTC/BTC to finish the comparisons.