Bitcoin Support BandsSMA and EMA support/resistance bands for Bitcoin. Based on 4 week multiples; 1 month, 3 month, 6 month, 1 year, 2 year, 4 year.
BTC-M
Bitcoin Weekly Support BandsMy first ever attempt at a custom script. I took Benjamin Cowen's concept of the Bitcoin Bull Market Support Band and applied it to the 100 week and 200 week moving averages. I also added in the 300 week sma. I mainly wanted to have all these in one indicator.
.b pin-up symbolWhen trading cryptocoins, it is necessary to check the price trend of NASDAQ, BTC.D, BTC.OI, BTC spot or other coins of similar groups.
However it is very cumbersome to put a comparison symbol in the Tradingview chart and combine individual indicators one by one.
Moreover even with such a combination, the chart is messy and visibility is not good.
This script was developed as a composite-solution to that situation, and will make you happy.
- NQ1!, USTECH100CFD | symbol fixed
- BTC.Dominance, BTC.OpenInterest, BTC symbol, others pin-up-symbol | selectable
- Pin-up-symbol | selectable
- Pin-up-symbol's candle chart
- Trending
* EMA 9,21,50,200 ribbon classic EMA
* .b price line ; .b price = unique trending price with price-action + relative-volume-action + ATR
* Dynamic S/R Cloud ; BB + donchian band + high/low + atr mixed custom-logic
* VWWMA + .b price Shadow ; Volume-weighted WMA on .b price = unique MA faster than classic VWMA
Trending shadow direction is not bad even on low-timeframe (1, 2, 3, 5m, 15m...)
- Pattern
* Harmonic Pattern ; A simplified version of the harmonic pattern indicator, simply show-up pattern complete position
for reference only - adopted from HeWhoMustNotBeNamed's script.
- Information Panel
* BTC Dominance, BTC Open Interest, Pin-Up-Symbol price
* Trend meter ; 5,15,30,1h,2h,4h Meter Calc with 1 minute-timeframe candles
5 = Green if the current price is higher than the price 5 minutes ago.
1h = Green if the current price is higher than the price 2 hours ago.
4h = Red if the current price is lower than the price 4 hours ago.
* caution ; To use real-time chart of "CME_MINI:NQ1!" you have to additional subscribe CME data,
default setting is 'NQ1!' , you can change to 'USTECH100CFD'
* When you choose symbol which is closed trading hours, the script's update stopped.
Even if the selected pin-up-symbol is on trading hours, the currently selected symbol's chart doesn't update.
* recommended | chart setting > Appearance : Top margin 0%, Bottom margin 0% for optimized screen usage :)
if you have any questions freely contact to me by message on tradingview, or telegram @sr_bt
but please understand that responses may be quite late.
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copyright 2022 (sr_b)
Special thanks to all of contributors of community.
The script (originaly .b) may be freely distributed under the MIT license.
The other classic script code also may be freely distributed under the MIT license.
Simplified Harmonic script part | core adopted from 'Multi ZigZag Harmonic Patterns (HeWhoMustNotBeNamed)' MPL2.0 license
.b BTC-Exchange volumeBINANCE:BTCUSDT
It's tool to check exchange trading status.
You can see "BTC-exchange's realtime trading volume, previous closed volume" at once.
You can switch to see 'Previous close volume' on script's panel.
Timeframe recommended ; 15m, 1H, 4H, D, W, whatever.
Each exchange may have a different volume display unit, so I converted it into roughly BTC units. (using hl2 price)
This indicator aims to recognize the difference in the trading volume of the exchange at once.
It's not for the purpose of check the exact trading volume.
All data come from tradingview.
The comparison target exchanges refer to the ranking of CoinMarketCap.
if you have any questions freely contact to me by message on tradingview, or telegram @sr_bt
but please understand that responses may be quite late.
Volatility Calculator for Daily Top and Bottom RangeWith the usage of ATR, applied on the close of the daily candle, I am calculated the volatility channels for the TOP and BOTTOM
Based on this logic, we can estimate, with a huge confidence factor, where the prices are going to be compressed for the trading day.
Having said that, lets take a look at the data gathered among the most important financial markets:
SPX
TOP CROSSES : 2116
BOT CROSSES : 1954
Total Daily Candles : 18908
Occurance ratio = 0.215
NDX
TOP CROSSES : 1212
BOT CROSSES : 1183
Total Daily Candles : 9386
Occurance ratio = 0.255
DIA
TOP CROSSES : 759
BOT CROSSES : 769
Total Daily Candles : 6109
Occurance ratio = 0.25
DXY
TOP CROSSES : 1597
BOT CROSSES : 1598
Total Daily Candles : 13156
Occurance ratio = 0.243
DAX
TOP CROSSES : 1878
BOT CROSSES : 1848
Total Daily Candles : 13155
Occurance ratio = 0.283
BTC USD
TOP CROSSES : 416
BOT CROSSES : 417
Total Daily Candles : 4290
Occurance ratio = 0.194
ETH USD
TOP CROSSES : 247
BOT CROSSES : 268
Total Daily Candles : 2452
Occurance ratio = 0.21
EUR USD
TOP CROSSES : 820
BOT CROSSES : 805
Total Daily Candles : 7489
Occurance ratio = 0.217
GOLD
TOP CROSSES : 1722
BOT CROSSES : 1569
Total Daily Candles : 13747
Occurance ratio = 0.239
USOIL
TOP CROSSES : 1077
BOT CROSSES : 1089
Total Daily Candles : 10231
Occurance ratio = 0.212
US 10Y
TOP CROSSES : 1302
BOT CROSSES : 1365
Total Daily Candles : 9075
Occurance ratio = 0.294
Based on this, we can assume with a very high confidence ( 70-80%) that the market is going to stay, within the range created from the BOT and TOP ATR points.
Candle Colored by Volume Z-score [Morty]This indicator colors the candles according to the z-score of the trading volume. You can easily see the imbalance on the chart. You can use it at any timeframe.
In statistics, the standard score (Z-score) is the number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being observed or measured. Raw scores above the mean have positive standard scores, while those below the mean have negative standard scores.
This script uses trading volume as source of z-score by default.
Due to the lack of volume data for some index tickers, you can also choose candle body size as source of z-score.
features:
- custom source of z-score
- volume
- candle body size
- any of above two
- all of above two
- custom threshold of z-score
- custom color chemes
- custom chart type
- alerts
default color schemes:
- green -> excheme bullish imbalance
- blue -> large bullish imbalance
- red -> excheme bearish imbalance
- purple -> large bearish imbalance
- yellow -> low volume bars, indicates "balance", after which volatility usually increases and tends to continue the previous trend
Examples:
* Personally, I use dark theme and changed the candle colors to black/white for down/up.
Volume as Z-score source
Any as Z-score source, more imbalances are showed
COT Report BTC Positions█ OVERVIEW
Showing the Commitments of Traders (COT) report(*) for BITCOIN Positions - CHICAGO MERCANTILE EXCHANGE (futures only) with COT charts on TradingView data.
* COT reports are released each Friday (except for U.S. holidays) by the CFTC.
* Each COT report release includes data from the previous Tuesday.
* Original data is www.cftc.gov
Data currently displayed are through April 12, 2022
█ FEATURES
You can switch the display for each of the following Positions :
Long
Short
You can switch the display for each of the following Categories :
Dealer
Asset manager
Leverage funds
Other reportable
Non reportable
█ HOW TO USE IT
This indicator allows you to see changes for each category within TradingView without having to refer directly to each report.
Macro EMA Correlation
This script is useful to see correlation between macroeconomic assets, displayed in different ema line shown in percentage to compare these assets on the same basis. Percentage will depend on the time frame selection. In the higher timeframe you will see higher variation and in small timeframe smaller variation.
You can select the timeframe who suit your trading style. The 1h and 4h fit well for longer trend swing trade and the lower time frame 15m, 5m, 1m are good for scalping or daily trading.
The following asset are available:
Bitcoin
Ethereum
Gold
Crypto total market cap excluding bitcoin (total2)
United state 10-year government bond (US10Y)
Usdt dominance show the concentration of usdt hold. For example, when trader are fearful they sell their crypto position to keep more usdt in their portfolio (USDT.D)
The USD/JPY pair the dollar usd versus the Japanese Yen one of the most forex traded pair.
You can clic on parameter to select the asset you want to analyse.
The main correlation observed are:
bitcoin negatively correlated with the usdt dominance.
bitcoin negatively correlated with the usd/jpy pair
bitcoin is positively correlated to eth, total2 (altcoin)
bitcoin positively correlated with gold
bitcoin is mostly negatively correlated to us10y
The basis of correlation is that positively correlated asset goes in the same direction and that the negatively correlated goes in opposite direction.
So, the idea is to use these information to see trend reversing.
Example 1: when bitcoin and usdt dominance are extended in opposite direction we look for a possible retracement toward 1% wich is the middle base.
Example 2 : when bitcoin make a move we look for ethereum and total 2 to follow
Aggregated Volume Based Coloured Bars - InFinitoModified version of Kivanc's Volume Based Colored Bars that colors the bars with Aggregated Volume Data.
Aggregation code originally from Crypt0rus
***The indicator can be used for any coin/symbol to aggregate volume , but it has to be set up manually***
***The indicator can be used with specific symbol data only by disabling the aggregation option, which allows for it to be used on any symbol***
- Calculated based on Aggregated Volume instead of by symbol volume . Using aggregated data makes it more accurate and allows to see if the move was supported (Volume-wise) in all exchanges.
- As well, in order to make the data as accurate as possible, the data from each exchange aggregated is normalized to report always in terms of 1 BTC . In case this indicator is used for another symbol, the calculations can be adjusted manually to make it always report data in terms of 1 contract/coin.
DashBoard Alt Season by KziHere is a Dashboard to have an overview of the Alt Season oportunity.
Multiple time frame (Month / Week / Daily /4H)
How to use it?
You have 4 columns
TOTAL Crypto / Btc dominance / Btc Price / Alt ?
The alt? column is the resulte of the price and dominance of btc + 1 point with the total crypto
BTC Dominance UP ? Yes = Négatif for ALTS
/// Btc Price UP ?= > Yes = Positif for ALTS
NO = super négatif for ALTS
No = Positif for ALTS
/// Btc Price UP ?= > Yes = super Positif for ALTS
NO = Neutral
The total market just smooth the total.
If Alt columm is Green= It's OK
If Alt columm is orange = carrefull
If Alt Columm is red = leave the alt
You have to considered that you look on the time frame where you want to trade.
The overtime frame help to understand the bigger view.
Hop you like it and give comment to help the évolutions.
MicroStrategy MetricsA script showing all the key MSTR metrics. I will update the script every time degen Saylor sells some more office furniture to buy BTC.
All based around valuing MSTR, aside from its BTC holdings. I.e. the true market cap = enterprise value - BTC holdings. Hence, you're left with the value of the software business + any premium/discount decided by investors.
From this we can derive:
- BTC Holdings % of enterprise value
- Correlation to BTC (in this case we use CME futures...may change this)
- Equivalent Share Price (true market cap divided by shares outstanding)
- P/E Ratio (equivalent share price divided by quarterly EPS estimates x 4)
- Price to FCF Ratio (true market cap divided by FCF (ttm))
- Price to Revenue (^ but with total revenue (ttm))
Bitcoin Power Law Bands (BTC Power Law) Indicator█ OVERVIEW
The 'Bitcoin Power Law Bands' indicator is a set of three US dollar price trendlines and two price bands for bitcoin , indicating overall long-term trend, support and resistance levels as well as oversold and overbought conditions. The magnitude and growth of the middle (Center) line is determined by double logarithmic (log-log) regression on the entire USD price history of bitcoin . The upper (Resistance) and lower (Support) lines follow the same trajectory but multiplied by respective (fixed) factors. These two lines indicate levels where the price of bitcoin is expected to meet strong long-term resistance or receive strong long-term support. The two bands between the three lines are price levels where bitcoin may be considered overbought or oversold.
All parameters and visuals may be customized by the user as needed.
█ CONCEPTS
Long-term models
Long-term price models have many challenges, the most significant of which is getting the growth curve right overall. No one can predict how a certain market, asset class, or financial instrument will unfold over several decades. In the case of bitcoin , price history is very limited and extremely volatile, and this further complicates the situation. Fortunately for us, a few smart people already had some bright ideas that seem to have stood the test of time.
Power law
The so-called power law is the only long-term bitcoin price model that has a chance of survival for the years ahead. The idea behind the power law is very simple: over time, the rapid (exponential) initial growth cannot possibly be sustained (see The seduction of the exponential curve for a fun take on this). Year-on-year returns, therefore, must decrease over time, which leads us to the concept of diminishing returns and the power law. In this context, the power law translates to linear growth on a chart with both its axes scaled logarithmically. This is called the log-log chart (as opposed to the semilog chart you see above, on which only one of the axes - price - is logarithmic).
Log-log regression
When both price and time are scaled logarithmically, the power law leads to a linear relationship between them. This in turn allows us to apply linear regression techniques, which will find the best-fitting straight line to the data points in question. The result of performing this log-log regression (i.e. linear regression on a log-log scaled dataset) is two parameters: slope (m) and intercept (b). These parameters fully describe the relationship between price and time as follows: log(P) = m * log(T) + b, where P is price and T is time. Price is measured in US dollars , and Time is counted as the number of days elapsed since bitcoin 's genesis block.
DPC model
The final piece of our puzzle is the Dynamic Power Cycle (DPC) price model of bitcoin . DPC is a long-term cyclic model that uses the power law as its foundation, to which a periodic component stemming from the block subsidy halving cycle is applied dynamically. The regression parameters of this model are re-calculated daily to ensure longevity. For the 'Bitcoin Power Law Bands' indicator, the slope and intercept parameters were calculated on publication date (March 6, 2022). The slope of the Resistance Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Nov 2021 cycle peak. The slope of the Support Line is the same as that of the Center Line; its intercept was determined by fitting the line onto the Dec 2018 trough of the previous cycle. Please see the Limitations section below on the implications of a static model.
█ FEATURES
Inputs
• Parameters
• Center Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the grey line in the middle
• Resistance Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the red line at the top
• Support Intercept (b) and Slope (m): These log-log regression parameters control the behavior of the green line at the bottom
• Controls
• Plot Line Fill: N/A
• Plot Opportunity Label: Controls the display of current price level relative to the Center, Resistance and Support Lines
Style
• Visuals
• Center: Control, color, opacity, thickness, price line control and line style of the Center Line
• Resistance: Control, color, opacity, thickness, price line control and line style of the Resistance Line
• Support: Control, color, opacity, thickness, price line control and line style of the Support Line
• Plots Background: Control, color and opacity of the Upper Band
• Plots Background: Control, color and opacity of the Lower Band
• Labels: N/A
• Output
• Labels on price scale: Controls the display of current Center, Resistance and Support Line values on the price scale
• Values in status line: Controls the display of current Center, Resistance and Support Line values in the indicator's status line
█ HOW TO USE
The indicator includes three price lines:
• The grey Center Line in the middle shows the overall long-term bitcoin USD price trend
• The red Resistance Line at the top is an indication of where the bitcoin USD price is expected to meet strong long-term resistance
• The green Support Line at the bottom is an indication of where the bitcoin USD price is expected to receive strong long-term support
These lines envelope two price bands:
• The red Upper Band between the Center and Resistance Lines is an area where bitcoin is considered overbought (i.e. too expensive)
• The green Lower Band between the Support and Center Lines is an area where bitcoin is considered oversold (i.e. too cheap)
The power law model assumes that the price of bitcoin will fluctuate around the Center Line, by meeting resistance at the Resistance Line and finding support at the Support Line. When the current price is well below the Center Line (i.e. well into the green Lower Band), bitcoin is considered too cheap (oversold). When the current price is well above the Center Line (i.e. well into the red Upper Band), bitcoin is considered too expensive (overbought). This idea alone is not sufficient for profitable trading, but, when combined with other factors, it could guide the user's decision-making process in the right direction.
█ LIMITATIONS
The indicator is based on a static model, and for this reason it will gradually lose its usefulness. The Center Line is the most durable of the three lines since the long-term growth trend of bitcoin seems to deviate little from the power law. However, how far price extends above and below this line will change with every halving cycle (as can be seen for past cycles). Periodic updates will be needed to keep the indicator relevant. The user is invited to adjust the slope and intercept parameters manually between two updates of the indicator.
█ RAMBLINGS
The 'Bitcoin Power Law Bands' indicator is a useful tool for users wishing to place bitcoin in a macro context. As described above, the price level relative to the three lines is a rough indication of whether bitcoin is over- or undervalued. Users wishing to gain more insight into bitcoin price trends may follow the author's periodic updates of the DPC model (contact information below).
█ NOTES
The author regularly posts on Twitter using the @DeFi_initiate handle.
█ THANKS
Many thanks to the following individuals, who - one way or another - made the 'Bitcoin Power Law Bands' indicator possible:
• TradingView user 'capriole_charles', whose open-source 'Bitcoin Power Law Corridor' script was the basis for this indicator
• Harold Christopher Burger, whose Bitcoin’s natural long-term power-law corridor of growth article (2019) was the basis for the 'Bitcoin Power Law Corridor' script
• Bitcoin Forum user "Trololo", who posted the original power law model at Logarithmic (non-linear) regression - Bitcoin estimated value (2014)
Chanu Delta RSIThis Chanu Delta RSI indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Indicator was that it was simply based on the price difference between the two Bitcoin markets, so there was no universality. However, this new Chanu Delta RSI solves the problem by introducing an RSI that compares the price difference trend.
This indicator is selectable from both reference and large amplitude BTCUSD markets. I recommend using BYBIT:BTCUSDT for the reference market and COINBASE:BTCUSD for the large amplitude market.
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이 지표는 비트코인 시장의 단기적인 추세를 판단하는데 도움을 줄 수 있습니다. 기존 Chanu Delta 지표의 문제점은 단순히 두 비트코인 시장의 가격차를 기준으로 하여 보편성이 없었다는 점이다. 하지만 이번 새로운 Chanu Delta RSI는 가격차이 추세를 비교하는 RSI를 도입해 문제를 해결했습니다.
이 지표는 레퍼런스 및 큰 진폭 BTCUSD 시장에서 모두 선택할 수 있습니다. 레퍼런스 시장에는 BYBIT:BTCUSDT를 사용하고 큰 진폭 시장에는 COINBASE:BTCUSD를 사용하는 것이 좋습니다.
BTC Gravity OscillatorThis indicator is a deviation of a Center of Gravity Oscillator corrected for the diminishing returns of Bitcoin.
I've set up this indicator for it to be used on the weekly timeframe. The indicator oscillates between 0 and 10, where 0 indicates oversold conditions and 10 indicates overbought conditions.
The indicator plots in any BTCUSD spot, futures , BLX index and BTCEUR .
It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
Cowen CorridorI'm reposting the Cowen Corridor that was originally developed by Benjamin Cowen of "Into the Cryptoverse"
This indicator was originally developed by Ben publicly on stream. It may be used to predict upper and lower bound limits for the price of Bitcoin .
I've set up this indicator for it to be used on the weekly timeframe as was intended.
The indicator plots in any BTCUSD spot, futures , BLX index and BTCEUR .
It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
For that reason, I've enabled by default an option that forces the indicator to display on the Weekly value even though the time frame could be higher or lower.
Credit for this idea goes to Benjamin Cowen: @intocryptoverse
Saylor to Schiff RatioI'm reposting the Saylor to Schiff Ratio indicator that was originally developed by Michael Silva
This indicator may be used to predict key momentum shifts in the price of Bitcoin
I've set up this indicator for it to be used on the weekly timeframe as was intended.
The indicator plots in any BTCUSD spot, futures , BLX index and BTCEUR .
It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
For that reason, I've enabled by default an option that forces the indicator to display on the Weekly value even though the time frame could be higher or lower.
Credit for this idea goes to Michael Silva: @mikepsilva
BTC Cap Dominance RSIBTC Cap Dominance RSI indicator is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this indicator is to get a good grasp of the bitcoin market flow by combining bitcoin dominance as well as bitcoin market cap.
BTC Cap Dominance (BCD) RSI is defined as:
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (Bull market):
Both Cap RSI and Dominance RSI values are high
Case 2 (Neutral market):
Cap RSI is high but Dominance RSI is low
Cap RSI is low but Dominance RSI is high
Case 3 (Bear market):
Both Cap RSI and Dominance RSI values are low
(Note) Please note that the market capitalization symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) of TradingView started in January 2020, so you can check the indicator value from this point on.
Neowave chart cash dataScript Cash is a neo-analytic style data. Add to use on the chart and then hide the candlesticks and enjoy the cash data.
The daily data cache is set normally. To change the settings, be sure to change the D indicator to W for weekly and M for monthly.
Also enter the number of minutes to use in the hourly time frame, for example four hours (240)
...
When you change the data cache settings in the settings, you must follow the rule of one fortieth of the Neowave style and move the time frame chart to forty to analyze it, for example, for a daily time frame go to 30 minutes.
I hope it is used.
Bitcoin Golden Bottom Oscillator (MZ BTC Oscillator)This indicator uses Elliot Wave Oscillator Methodology applied on "BTC Golden Bottom with Adaptive Moving Average" and Relative Strength Index of Resulted EVO to form an Oscillator to detect trend health in Bitcoin price. Ticker is set to "INDEX : BTCUSD" on 1D timeframe.
Methodology
Oscillator uses Adaptive Moving Average with 1 year of length, Minor length of 50 and Major length of 100 to mark AMA as Golden Bottom.
Percentage Elliot Wave Oscillator is calculated between BTC price and AMA.
Relative Strength Index of EVO is calculated to detect trend strength and divergence detection.
Hull Moving Average of resulted RSI is used to smoothen the Oscillator.
Oscillator is hard coded to 'INDEX:BTCUSD' ticker on 1d so it can be used on any other chart and on any other timeframe.
Color Schemes
Bright Red background color indicates that price has left top Fib multiple ATR band and possibly go for top.
Light Red background color indicates that price has left 2nd top Fib multiple ATR band and possibly go for local top.
Lime background color indicates that price has entered lowest band indicating local bottom.
Bright Green background color indicates that price is approximately resting on Golden Bottom i.e. AMA.
Oscillator color is set to gradient for easy directional adaption.
BTC Golden Bottom with Adaptive Moving Average
BTC 1D Safety tradeImportant: use only the BTC/USD pair on the 1D timeframe
The indicator is designed to determine the zones for entry to buy or sell, as well as for closing deals.
The indicator is based on a moving average with a period of 12.
The parameters are not changeable, since the optimal settings (Safety trade) were used for the BTC/USD pair on the 1D timeframe.
The code is open, please change it according to your parameters.
Upper zones for closing long or opening short.
Lower zones for opening long or closing short.
BTC Price OverlayThis is not a crazy strategy like most of the code I write. It's a simple overlay so you can drop BTC on top of whatever chart you are watching. It will track BTC's price on Binance.us (though the exchange is changeable with a few lines of code, maybe I will make it a dropdown on the next iteration of this.)
It uses TradingView's scale function to show both assets on a relative chart. BTC's price is on the left and your asset is on the right.
I've made this available for free because it is quick and easy. I plan to write a bot based around this code and that one will be private.
Bitmex BTC Perpetual Premium and FundingThis script tracks the premium (default red line) and the funding rate (default yellow area) of the Bitmex XBTUSD pair perpetual contract.
The calculations are based on the 8H TWAP of interest rates and premium index from Bitmex.
CRC.i Bollinger Bands ®This script is yet another variant of the famous Bollinger Bands® TA tool used to track price volatility as it deviates from the mean of a security using standard deviations (positive &negative). Built for my own personal preferences. But perhaps you might like it, too.
Includes
+ Chart Lines: price, upper and lower bands
+ User Options: SMA length, stdev value
+ Heads up Display (HUD) with TARGET's and other related stats
Bugs? Comments? Requests? Ping me @calmrat
