OptimaLiteThe OptimaLite algorithm performs the calculation of the integrated profits and losses for all the buyers and sellers that they have for the given “Calculation period” back in history for every time point. The idea is based on the principle of the accumulation and distribution of the capital among the market participants leading to the price trend change.
The indicator consists of the several components (signal lines):
1) “Return” – the main signal that reflects the integrated profits and losses delta (the “Return” moving average is added)
2) “Profit” and “Loss” – integrated profits and losses correspondingly
3) “Return Normalized” – the normalized “Return” for a given period of time
4) “Return High Frequency” – the “Return” signal compensated with the short-term fluctuations by RSI
How to use the indicator:
– Highs and lows of the indicator are associated with the overbought and oversold conditions points correspondingly.
– Crosses of the moving average with the main indicator line are associated with the trend change
– Divergencies between the indicator and price highs or lows can be used as signals for the trend reversal
– “Profit” and “Loss” signal lines intersections indicate the bulls/bears take over the market
Adjustments:
The periods of the calculation, averaging and normalization are the main parameters that could be tuned in order to optimize the indicator performance. Generally, the default values are sufficient for the nominal performance thought. But the best combination of those parameters is specific for each asset and timeframe, so it recommended to optimize them.
1-BTCUSD
Fukuiz Octa-EMA + Ichimoku (Strategy)This strategy is based EMA of 8 different period and Ichimoku Cloud which works better in 1hr 4hr and daily time frame.
#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 EMA#
An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average . An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average ( SMA ), which applies an equal weight to all observations in the period.
#How to use#
The strategy will give entry points itself, you can monitor and take profit manually(recommended), or you can use the exit setup.
EMA (Color) = Bullish trend
EMA (Gray) = Bearish trend
#Condition#
Buy = All Ema (color) above the cloud.
SELL= All Ema turn to gray color.
Saturday Strategy BTC By KziI take the hypothèse that saturday is the most stable day of the week because, no SP500, no fed announcement and no weekly closure.
My Strategy is very simple:
Take the friday color (Red = Short // Green = Long)
Then open at the friday close price
Take a small pourcentage (1 or 2 %) then close.
What ever close on midnight.
Work Well on the 1h chart.
The Yellow is the saturday.
Maybe we can add the monthly close information to avoid opening trade on saturday if we are at this event.
Enjoy and give me your comment.
Kzi
Trend Day IndentificationVolatility is cyclical, after a large move up or down the market typically "ranges" during the next session. Directional order flow that enters the market during this subsequent session tends not to persist, this non-persistency of transactions leads to a non-trend day which is when I trade intraday reversionary strategies.
This script finds trend days in BTC with the purpose of:
1) counting trend day frequency
2) predicting range contraction for the next 1-2 days so I can run intraday reversion strategies
Trend down is defined as daily bar opening within X% of high and closing within X% of low
Trend up is defined as daily bar opening within X% of low and closing within X% of high
default parameters are:
1) open range extreme = 15% (open is within 15% of high or low)
2) close range extreme = 15% (close is within 15% of high or low)
There is also an atr filter that checks that the trend day has a larger range than the previous 4 bars this is to make sure we find true range expansion vs recent ranges.
Notes:
If a trend day occurs after a prolonged sideways contraction it can signal a breakout - this is less common but is an exception to the rule. These types of occurrences can lead to the persistency of order flow and result in extended directional daily runs.
If a trend day occurs close to 20 days high or low (stopping just short OR pushing slightly through) then wait an additional day before trading intraday reversion strategies.
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.
Bitcoin Best Value CorridorHere is my interpretation of the "Best Time To Buy" Bitcoin over its lifetime using a logarithmic regression trendline. The upper and lower lines are 10% deviations from the centre line. I calculated the trendline in excel and then coded my results into pine script.
Lev Umanov Sin EquationThis indicator is taken from the calculations made by Lev Umanov. It predicts the peaks of Bitcoin. The indicator works with most BTCUSD pairings.
100W sma/200W smaThis is an Indicator specifically made for BTC/USD ( Index)
Zoom out on Daily and Weekly candles as much and you can SEE a trend . A very very important trend and you shall remember this indicator with Years to come . This is a VERY long term type indicator and can help you with long term hodling investor mindset analysis .
Accumulation/Distribution Bands & Signals (BTC, 1D, BITSTAMP) This is an accumulation/distribution indicator for BTC/USD (D) based on variations of 1400D and 120D moving averages and logarithmic regression. Yellow plot signals Long Term Accumulation, which is based on 1400D (200W) ALMA, orange plot signals Mid Term Accumulation and is based on 120D ALMA, and finally the red plot signals Long Term Distribution that's based on log regression. It should be noted that for red plot to work BTC 1D BITSTAMP graph must be used, because the function of the logarithmic regression was modified according to the x axis of the BITSTAMP data.
Signal bands have different coefficients; long term accumulation (yellow) and and the log regression (red) plots have the highest coefficients and mid term accumulation (orange) has the lowest coefficients. Coefficients are 6x, 3x and 1.5x for the red (sell) and yellow (buy) plots and 1x, 2x and 3x for the orange (buy) plot. Selling coefficient for the yellow and the orange plots are respectively 2x and 1x. Buy and sell signals are summed up accordingly and plotted at the top of the highest band.
Acknowledgement: Credits for the logarithmic regression function are due @memotyka9009 and Benjamin Cowen
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.
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.
Bitcoin Inflation-Adjusted Support and Resistance5year breakeven inflation rate fitted for log BTC chart as Support and Resistance
Btcusdt - 4hr Trendreversal algoritmeIn this strategy we use a combination of differents indicators to catch the highs and lows and follow the right direction at all times.
The conditions of this 4hr algo are based on Ema's and WMA's that rise or fall:
Momentum;
Price Action
Volume
RSI
BB
I have backtested the algo for 2 years before i ran it live. I ran the algo live for 1 year now and ( October 2020) as for now the algo indicates a trend reversal 70-80% correctly.
The backtest result shown started from 01-10-2017and is simulated using 15% of the capital on BINANCE:BTCUSDT
I have varies Algo's on different Timeframes. If you're interested sent me a message.
Please be aware that past results are no guarantee for future performance!
[FTX Funding Colored Candles] [third eye]This Indicator plots FTX: BTCPERP predicted funding rates and colours the candlesticks based on it.
!!!
Since Tradingview always plots new indicators at the back you might have to click:
Name of the Indicator ( ) -> More -> Visual Order -> Bring to Front
(unfortunately, there is no way for me to do this in pinescript)
There is also the possibility to change colors in the Settings:
It is grouped by where Basis is (FTX:BTCPERP - FTX Spot index)
Changing that might be good for getting a more close up view of LTF price action.
Also to get rid of the Values in the Status line click on Settings and scroll to the bottom to disable "Value in Status Line"
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 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.
BTC 30m ScriptWhat are your thoughts on this script? I connected it to Coinbase Pro via AWS lambda for auto-trading. I'm waiting for BTC to start bullish again before turning it on in production. Thoughts? Thank you! John
[VIP] Composite BTC Funding Rate APR
Calculates and displays a BTC funding rate (positive or negative) in terms of APR. Positive APR = Positive funding. Negative APR = Negative funding
This calculation is sourced from a variety of spot and perpetual markets on a couple of top-volume exchanges, Binance, FTX, etc.
This logic is utilized in Dip Hunter and Take Profit Hunter
Code is open source! All feedback and improvements encouraged
Universal logarithmic growth curves, with support and resistanceLogarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span).
The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line.
This script is:
- Designed to be usable in all tickers. (not only for bitcoin now!)
- Logarithmic regression and shows support-resistance level
- Shape of lines are all linear adjustable
- Height difference of levels and zones are customizable
- Support and resistance levels are highlighted
Input panel:
- Steps of drawing: Won't change it unless there are display problems.
- Resistance, support, other level color: self-explanatory.
- Stdev multipliers: A constant variable to adjust regression boundaries.
- Fib level N: Base on the relative position of top line and base line. If you don't want all fib levels, you might set all fib levels = 0.5.
- Linear lift up: vertically lift up the whole set of lines. By linear multiplication.
- Curvature constant: It is the base value of the exponential transform before converting it back to the chart and plotting it. A bigger base value will make a more upward curvy line.
FAQ:
Q: How to use it?
A: Click "Fx" in your chart then search this script to get it into your chart. Then right click the price axis, then select "Logarithmic" scale to show the curves probably.
Q: Why release this script?
A: - This script is intended to to fix the current issues of bitcoins growth curve script, and to provide a better version of the logarithmic curve, which is not only for bitcoin , but for all kinds of tickers.
- In the public library there is a hardcoded logarithmic growth curve by @quantadelic . But unfortunately that curve was hardcoded by his manual inputs, which makes the curve stop updating its value since 2019 the date he publish that code. Many users of that script love using it but they realize it was stop updating, many users out there based on @quantadelic version of "bitcoin logarithmic growth curves" and they tried their best to update the coordinates with their own hardcode input values. Eventually, a lot of redundant hardcoded "Bitcoin growth curve" scripts was born in the public library. Which is not a good thing.
Q: What about looking at the regression result with a log scale price axis?
A: You can use this script that I published in a year ago. This script display the result in a log scale price axis.
BTC Golden Bottom with Adaptive Moving AverageIntroduction:
This study uses Adaptive Moving Average with 1 year of length to plot on all time history Index Calculated by Tradingview . All previous $BTC bear runs bottomed on this curve which makes it important enough. Use this only on " "
Default Values:
AMA length is 1 year
Minor length is 50
Major length is 100