Mayer Multiple StrategyCreated by Trace Mayer, the Mayer Multiple is calculated dividing the current price of Bitcoin by its 200-day moving average. This simple script allows to backtest strategies based on Mayer Multiple levels, which can be easily adjusted. It can be tested on any chart and any timeframe.
Bitcoin (Mata Wang Kripto)
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.
Chanu Delta RSI StrategyThis strategy is built on the Chanu Delta RSI , which indicates the strength of the Bitcoin market. The problem with the previous Chanu Delta Strategy 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 strategy solves the problem by introducing an RSI that compares the price difference trend.
When the Chanu Delta RSI hits “Bull Level” and “Bear Level” and closes the candle, long and short signals are triggered respectively. The example shown on the screen is a default setting optimized for a 4-hour candlestick strategy based on the Bybit BTCUSDT futures market. You can use it by adjusting the setting value and modifying it to suit you.
This strategy is selectable from both reference and large amplitude BTCUSD markets in order to enable fine backtesting. I recommend using BYBIT:BTCUSDT for the reference market and COINBASE:BTCUSD for the large amplitude market.
(Note) Using the "Chanu Delta RSI" to know the current indicator value in real time, it is convenient to predict the signal of the strategy.
(Note) Because the Chanu Delta RSI represents the price difference based on the Bybit BTCUSDT futures market, backtesting is possible from March 2020.
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이 전략은 비트코인 시장의 강점을 나타내는 Chanu Delta RSI를 기반으로 합니다. 기존 Chanu Delta 전략의 문제점은 단순히 두 비트코인 시장의 가격차를 기준으로 하여 보편성이 없었다는 점이다. 하지만 이번 새로운 Chanu Delta RSI 전략은 가격차이 추세를 비교하는 RSI를 도입해 문제를 해결했습니다.
Chanu Delta RSI가 "Bull Level"과 "Bear Level"에 도달하고 봉마감하면 롱, 숏 신호가 각각 트리거됩니다. 화면에 보이는 예시는 Bybit BTCUSDT 선물 시장을 기반으로 한 4시간 캔들스틱 전략에 최적화된 기본 설정입니다. 설정값을 조정하여 자신에게 맞게 수정하여 사용하시면 됩니다.
이 전략은 정밀한 백테스팅을 가능하게 하기 위해 참조 및 큰 진폭 BTCUSD 시장에서 모두 선택할 수 있습니다. 참조 시장에는 BYBIT:BTCUSDT를 사용하고 큰 진폭 시장에는 COINBASE:BTCUSD를 사용하는 것이 좋습니다.
(주) "Chanu Delta RSI"를 이용하여 현재 지표 값을 실시간으로 알 수 있어 전략의 시그널을 예측하는데 편리합니다.
(주) Chanu Delta RSI는 바이비트 BTCUSDT 선물시장을 기준으로 가격차이를 나타내므로 2020년 3월부터 백테스팅이 가능합니다.
MovingAveragesLibraryLibrary "MovingAveragesLibrary"
This is a library allowing one to select between many different Moving Average formulas to smooth out any float variable.
You can use this library to apply a Moving Average function to any series of data as long as your source is a float.
The default application would be for applying Moving Averages onto your chart. However, the scope of this library is beyond that. Any indicator or strategy you are building can benefit from this library.
You can apply different types of smoothing and moving average functions to your indicators, momentum oscillators, average true range calculations, support and resistance zones, envelope bands, channels, and anything you can think of to attempt to smooth out noise while finding a delicate balance against lag.
If you are developing an indicator, you can use the 'ave_func' to allow your users to select any Moving Average for any function or variable by creating an input string with the following structure:
var_name = input.string(, , )
Where the types of Moving Average you would like to be provided would be included in options.
Example:
i_ma_type = input.string(title = "Moving Average Type", defval = "Hull Moving Average", options = )
Where you would add after options the strings I have included for you at the top of the PineScript for your convenience.
Then for the output you desire, simply call 'ave_func' like so:
ma = ave_func(source, length, i_ma_type)
Now the plotted Moving Average will be the same as what you or your users select from the Input.
ema(src, len) Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
sma(src, len) Simple Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
rma(src, len) Relative Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
wma(src, len) Weighted Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
dv2(len) Donchian V2 function.
Parameters:
len : Lookback length to use.
Returns: Open + Close / 2 for the selected length.
ModFilt(src, len) Modular Filter smoothing function.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: Float value.
EDSMA(src, len) Ehlers Dynamic Smoothed Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: EDSMA smoothing.
dema(x, t) Double Exponential Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: DEMA smoothing.
tema(src, len) Triple Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: TEMA smoothing.
smma(x, t) Smoothed Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: SMMA smoothing.
vwma(x, t) Volume Weighted Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: VWMA smoothing.
hullma(x, t) Hull Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: Hull smoothing.
covwma(x, t) Coefficient of Variation Weighted Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: COVWMA smoothing.
frama(x, t) Fractal Reactive Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: FRAMA smoothing.
kama(x, t) Kaufman's Adaptive Moving Average.
Parameters:
x : Series to use ('close' is used if no argument is supplied).
t : Lookback length to use.
Returns: KAMA smoothing.
donchian(len) Donchian Calculation.
Parameters:
len : Lookback length to use.
Returns: Average of the highest price and the lowest price for the specified look-back period.
tma(src, len) Triangular Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: TMA smoothing.
VAMA(src, len) Volatility Adjusted Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: VAMA smoothing.
Jurik(src, len) Jurik Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: JMA smoothing.
MCG(src, len) McGinley smoothing.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: McGinley smoothing.
zlema(series, length) Zero Lag Exponential Moving Average.
Parameters:
series : Series to use ('close' is used if no argument is supplied).
length : Lookback length to use.
Returns: ZLEMA smoothing.
xema(src, len) Optimized Exponential Moving Average.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
len : Lookback length to use.
Returns: XEMA smoothing.
EhlersSuperSmoother(src, lower) Ehlers Super Smoother.
Parameters:
src : Series to use ('close' is used if no argument is supplied).
lower : Smoothing value to use.
Returns: Ehlers Super smoothing.
EhlersEmaSmoother(sig, smoothK, smoothP) Ehlers EMA Smoother.
Parameters:
sig : Series to use ('close' is used if no argument is supplied).
smoothK : Lookback length to use.
smoothP : Smothing value to use.
Returns: Ehlers EMA smoothing.
ave_func(in_src, in_len, in_type) Returns the source after running it through a Moving Average function.
Parameters:
in_src : Series to use ('close' is used if no argument is supplied).
in_len : Lookback period to be used for the Moving Average function.
in_type : Type of Moving Average function to use. Must have a string input to select the options from that MUST match the type-casing in the function below.
Returns: The source as a float after running it through the Moving Average function.
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.
AnyChartI changed few lines of code from TradingView's original Open Interest indicator to make this one. I wanted to compare other charts to while entering my trade like looking at BTC when trading in alts. It has option to view any chart. Add other things to improve your analysis.
Combo Ichimoku + CDC Action Zone by fukuizThis indicator combines the famous indicators Ichimoku and CDC ActionZone.
#A brief introduction to Ichimoku #
The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
#A brief introduction to CDC ActionZone #
CDC ActionZone is a very simple system, utilizing just two exponential moving averages. The 'zones' in which different 'actions' should be taken are highlighted in different colors. Calculations for the zones
They are based on the relative position of price to the two EMA lines and the relationship between the two EMAs.
The CDC ActionZone was developed by Piriya333, a Thai technical analyst.
#How to use #
The basic method for using Ichimoku+CDC ActionZone is to follow the green/red color and the cloud.
Buy condition
-Buy when the bar closes in green and closes above the cloud
Sell condition
-sell when the bar closes in red.
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
CDOI ProfileCumulative Delta of Open Interest Profile
This script lets you visualize where there were Open Interest build-ups and discharges on a price basis.
It only supports pairs where TradingView added the appropriate Open Interest data (at the time of posting that is only Binance and Kraken perpetual contracts)
The script uses my own functions to poll lower timeframe data and compile it into a higher timeframe profile. And as such, it needs some tweaking to adjust it to your timeframe until Tradingview lets me do it codewise (hopefully one day)
The instructions for using the Indicators are as follows:
Condition: How often a new profile should be generated
Sampling Rate and 1/Nth of the TF: These have to be calculated together to have a product that should correspond to the current timeframe in minutes. A few examples below
----------- Sampling - 1Nth of the TF
5 min ------- 5 --------------- 1
10 min ------ 10 ------------- 1
15 min ------ 5 --------------- 3
20 min ------ 10 ------------- 2
30 min ------ 10 -------------- 3
45 min ------- 9 -------------- 5
1 hour ------- 10 ------------- 6
4 hours ----- 10 -------------- 24
1 day -------- 10 ------------- 144
Transparency: This one is pretty self-explanatory but only applies to the Profile bars
% change for a bar: This one indicates how precise each bar will be, but if you go too low the script becomes too heavy and stop running
Bar limit: Limits the amounts of bars the script is run for (ae for the last 1000 bars). Lower = faster loading, too high will stop running
UI color: Color and transparency of the center line and the box surrounding the whole profile
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.
BTC Cap Dominance RSI StrategyThis strategy is based on the BTC Cap Dominance RSI indicator, which is a combination of the RSI of Bitcoin Market Cap and the RSI of Bitcoin Dominance. The concept of this strategy 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
When the BCD RSI value closes the candle above the Bull level, it triggers a long signal and when the value closes below the Bear level, it triggers a short signal.
(Note) Please note that TradingView's market cap symbols (CRYPTOCAP:TOTAL and CRYPTOCAP:TOTAL2) started in January 2020, so strategy backtesting is possible from this point on.
(Note) Since the real-time BCD RSI value does not come out with this strategy, it is recommended to use it together because the current value can be known and the long-short signal can be predicted in advance by using a separate BCD RSI Index together.
If "Use Combination of dominance RSI ?" is not checked in addition to the recommended default value of the strategy, the recommended values are Length (14), Bull level (74), Bear level (25).
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이 전략은 비트코인 시가총액의 RSI와 비트코인 도미넌스 RSI를 조합하여 만든 BTC Cap Dominance RSI 지표를 기반으로 만들어졌습니다. 이 전략의 컨셉은 비트코인 시가총액뿐만 아니라 비트코인 도미넌스를 조합함으로써 비트코인 시장 흐름을 잘 파악할 수 있도록 하는 것입니다.
BTC Cap Dominance (BCD) RSI는 다음과 같이 정의하였습니다.
BCD RSI = (BTC Cap RSI + BTC Dominance RSI) / 2
Case 1 (강세 장):
Cap RSI와 Dominance RSI 값 모두 높은 경우
Case 2 (횡보 장):
Cap RSI는 높지만 Dominance RSI는 낮은 경우
Cap RSI는 낮지만 Dominance RSI는 높은 경우
Case 3 (약세 장):
Cap RSI와 Dominance RSI 값 모두 낮은 경우
BCD RSI 값이 Bull level 위에서 캔들 마감할 경우 long 신호를 트리거하고 Bear level 아래에서 캔들 마감할 경우 short 신호를 트리거합니다.
(주의) 트레이딩뷰의 시가총액 심볼들 (CRYPTOCAP:TOTAL과 CRYPTOCAP:TOTAL2)이 2020년 1월부터 시작하였으므로 이 시점부터 전략 백테스팅이 가능한 점을 유의하십시오.
(주의) 이 전략은 실시간 BCD RSI 값이 나오지 않기 때문에 별도의 BCD RSI Index를 함께 사용하면 현재 값을 알 수 있어 롱숏 신호를 사전에 예측할 수 있으므로 함께 사용하기를 권장합니다.
전략의 추천 기본값 외에 "Use Combination of dominance RSI ?"를 체크하지 않는 경우 권장하는 값은 Length (14), Bull level (74), Bear level (25) 입니다.
20 SMA based Bull/Bear sentiment indicatorThis script is only doing one thing, plots the 20 SMA and based on whether the asset's price is above or below of the SMA it changes the color of the SMA and the background's color.
Helping it to visualize whether from the 20 SMA's point of view we are in a Bull or a Bear trend.
I created this because I myself use this SMA with Bitcoin on the weekly time frame to identify the macro trend on the weekly.
IMO this is a good crypto market sentiment indicator.
STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft
Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies.
As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC )
Strategy is built on combination of:
- MACD
- RSI
- FIBONACCI levels
- BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default))
I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself).
You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable.
Reverse option open reverse positions of the strategy
Market Hedge RatioRatio of crypto (total, Bitcoin, or Ethereum market cap) to major stable coins.
A low ratio suggests a lot of people are sitting in cash (sidelined if crypto rallies).
A high ratio suggests possible demand saturation.
TrendsThe Trends indicator is created for trend trading and (Bitsgap) crypto bots of crypto assets over longer time periods.
Works best for 4h, Daily and Weekly candles (even Monthly), but unsuitable for hourly candles and day trading.
This indicator shows you if a crypto pair is in a Bear, Bull or Sideways market.
The idea is to simplify decision making when to sell or buy, or what pairs to use with trading bots.
Stick to the rule of not having bots in a Bear trend!
- Blue = Bull trend
- Red = Bear trend
- Green = Sideways trend - which can be profitable with trading bots
Abz BTC InvestorInvestor indicator:
This indicator is intended to be used on a chart showing Bitcoin's historical price action. By viewing years of Bitcoin's history, it's possible to better see Bitcoin's current price within a long term context of the price rage.
Purpose and possible usage:
I built the indicator to make it easier for me and for friends and family to make better informed decisions about our Bitcoin investments. The indicator shows the historic range of the asset and indicates where Bitcoin is oversold (below the bottom line) and overbought (above the top purple line):
- Above the top purple line, I'll look to take some profits or consider hedging to protect my long term position's growth
- Below the bottom purple line, I'll look to dollar cost average into a long term position
I think the idea for this came from idea listening to the YouTuber Birb talking about how well Bitcoin tracked between the 200 day moving average (bottom navy moving average) and 5x that value (top moving average).
Hope you find it useful.
Best wishes,
Abzorba
StableCoin MC vs Total MC by Crypto5Max In this indicator you will find the sum of all stable coins (market cap) divided by the total crypto market cap.
I believe there's a positive correlation between stable coins issuance and BTC's(and other coins) price appreciation. Or shortly put, to me the rising levels of stable coins represent increased levels of buying power (and adoption) waiting on the sidelines.
Here, I am taking the total market cap of all stable coins and dividing it by the total crypto market cap to get a ratio. Note, only ~85% of all stable coins are calculated (rest are not on TV), however, it should still be a fairly good representation. Some of the stable coins are already locked in smart contracts for yield farming and what not. I'd also say, there's interesting 2-year long channel that's developing currently. That said, take this indicator with a grain of salt as we still have a limited set of data.
Yours truly
Sharktank - Stochastic ExtendedThe Stochastic as you know it, but with a lot more features.
Options you can tweak:
* Length of the %K value.
* The smoothing of the %K value.
* The smoothing (called %D) for the smoothed %K value.
* Ability to show the original %K.
* Ability to turn of %D so you can take a look at the original Stochastic as it was created (by turning of the %K).
* Show the price at which the smoothed %K will cross the %D (if possible).
* Show both normal and hidden divergence on %K, smoothed %K or %D.
* Some coloring settings.
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.
CRCHud - HUD Library (Heads Up Display)Library "CRCHud"
Library of functions which will contain functions that allow reusable HUD (Heads up Display) components to used from within other scripts
add_cell_change() - Adds a new cell to designated table which displays the data source value, the line color, data title, and automatically calculated %percent change stats based on lookback value supplied (default - previous bar)
MA Bollinger Bands + RSI This script uses the standard deviation of a given moving average along with an RSI direction.
When: rsi crossover neutral line + price crossover lower deviation boundary => long
When: rsi crossunder neutral line + price crossunder upper deviation boundary => short
BTC Futures BasisShows various basis percentages in a table and plots historical basis. Also has an alert function for backwardation events. Useful for tracking bullish/bearish sentiment in BTC futures markets.
*Currently displays March and June futures for the following exchanges: Bitmex, Binance, Deribit, Okex, and FTX
Also displays CME Continuous Next Contract. All of the symbols are customizable.
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Market-wide backwardation usually occurs during a heavy sell-off (such as a liquidation cascade).
**For getting alerts of backwardation events, I recommend creating an alert on the 1 minute chart with the condition "Any alert() function call". Alert level is customizable as well.
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*NOTE!! : Futures contracts expire (obviously), so the contract symbols will need to be updated periodically. I will try to keep them updated going into the future.
**NOTE2!! : The alert() function does not track the CME contract. This is to avoid false triggers.
