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.
วัฏจักร
Hourly Range SeparatorHourly Range Separator is a useful tool to display a hourly vertical line separator in less than 1H timeframes like as 1M, 5M, 15M and etc.
You can change Lines color, style and width from Indicator settings.
Notice : We used vline() function for building this Indicator.
Good trading to all ...
Buy Monday, Exit Tuesday with Stop Loss and Take ProfitStrategy to go long at end of Monday before market closes and exit before Tuesday close, or at stop loss or take profit percentages
This runs strategy on entering by weekday name and also by session time.
Implemented are also Take Profit and Stop Loss to exit position using custom inputs.
Added stoploss and take profit plot lines
Compound Indicator Strategy - BTC/USDT 3hThis is an Strategy finds and utilise end points of short term market trends and this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index ( MFI )
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator ( RSI )
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average ( SMA )
10. Exponential moving average ( EMA )
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
after generating a common indicator, it evaluates standard deviation and standard variance with currant market price action and generates a buy and sell signals. you can determine your own trading method based on available options.
INVEST BTC RSI (from @tradinglord)RSI VERSION - no alerts
The script highlight point of interest for investors using EMA , RSI and a bit of criticism.
The script is built to be used on a weekly timeframe
When RSI is bellow 35 it can be interesting to invest in BTC , on the opposite when it is above 80 can be where to take a bit of profits.
Also using EMA to flow with the power of the trend or change your bias depending on conditions.
Feel free to use the included alerts to be informed when RSI is telling you something.
The idea is quite simple, and you will not gain x100 your investment, but with these kind of investments and some patience you could make your way out.
Obviously not financial advice, understand what you are doing.
"Sometimes it's better to be rational monkey than a greedy baboon" - Tradinglord 2022
INVEST BTC (from @tradinglord)The script highlight point of interest for investors using EMA, RSI and a bit of criticism.
The script is built to be used on a weekly timeframe
When RSI is bellow 35 it can be interesting to invest in BTC, on the opposite when it is above 80 can be where to take a bit of profits.
Also using EMA to flow with the power of the trend or change your bias depending on conditions.
Feel free to use the included alerts to be informed when RSI is telling you something.
The idea is quite simple, and you will not gain x100 your investment, but with these kind of investments and some patience you could make your way out.
Obviously not financial advice, understand what you are doing.
"Sometimes it's better to be rational monkey than a greedy baboon" - Tradinglord 2022
AltSessionHello World
It’s no secret that trading sessions play a massive role in market movement and liquidity. We can clearly see in the image about how important identifying international trading hours are for a trader.
The Asian session starts around 1am GMT and often has a bearish bias through this session lasting for a few hours, after which Frankfurt and London traders start to come online and can often reverse the Asian sentiment.
The London session is the best session to trade traditionally starting around 7am GMT before the American traders come online and reverse market once again.
We have designed this indicator to help identify different trading hours easily with a background shade on the chart and also high/lows of the training session, as these levels can often be revisited.
We hope you find this indicator useful and please feel free to drop a comment if you have any updates you wish to be made or any future indicator script ideas, thank you.
Modified Mannarino Market Risk Indicator & Bubbles
Modified Mannarino Market Risk Indicator
MMRI = DXY * 10Y Yield
MMMRI = MMRI * (Debt/GDP)
Color Indicators
Green ~ Low Risk
Yellow - Mod Risk
Red - High Risk
Purple - Extreme Risk
Bubbles Formula (MMMRI_DK)
DXY*(10Y + FED Rate)* (Shiller P/E Ratio) * (Warren Buffet Indicator)*(Debt/GDP) /1.61
Similar to the Shiller P/E Ratio - you need to look back to see where the bubbles were. The difference between the Dot Com bubble and subsequent ones is that we now have QE which is why I included the FED Rate + 10Y.
Color Indicators
Green ~ Low Risk
Yellow - Mod Risk
Red - High Risk
Purple - Extreme Risk
Future Bubbles Formula (MMMRI_DK_Fut)
DXY*(10Y + Future FED Rate)* (Shiller P/E Ratio) * (Warren Buffet Indicator)*(Debt/GDP) /1.61
Assumes that the 10Y is fixed but what is important is that you will get an idea on when the system may pop.
Lankou Shad helperdisplay values of the current price x2 and x4 and /2, /4
it permit to compare the security values to its past and see if x2 is nearly probable are totally out of reach, he same for /2 of price.
It can be used for Sell Half At Double strategy: SHAD.
NY Session in REDNY is Red from UK time 1200 to 1800.
The rest is white, helps distinguish me NY with non NY since I like trading NY session
Bar CountBar Count Indicator for TradingView. It will label bars with numbers underneath which is awesome when sharing analysis or waiting for bars 7 (50% chance), 12 (70% chance), and 18 (90% chance) looking for higher probability for the High or Low of the day to have formed.
BTC Risk Metric - Estimates the risk of BTC price versus the USD
- To be used on the daily timeframe
- Works best on a BTC pair that has a lot of bars, e.g. The Bitcoin All Time History Index
- 0 is the lowest risk, 1 is the highest risk
- Historically, buying when the risk was low and selling when the risk was high would have yielded good ROI
- The risk bands are 0.1 in width and are highlighted on the plot
Typical Strategy:
- weighted DCA into the market when risk <0.5, do nothing between 0.5-0.6 and weighted DCA out of the market when risk >0.6
- x = buy amount per DCA interval
- y = 1/10th total BTC held by the user
- if 0 ≤ Risk < 0.1 then buy 5x
- if 0.1 ≤ Risk < 0.2 then buy 4x
- if 0.2 ≤ Risk < 0.3 then buy 3x
- if 0.3 ≤ Risk < 0.4 then buy 2x
- if 0.4 ≤ Risk < 0.5 then buy x
- if 0.5 ≤ Risk < 0.6 then do nothing
- if 0.6 ≤ Risk < 0.7 then sell y
- if 0.7 ≤ Risk < 0.8 then sell 2y
- if 0.8 ≤ Risk < 0.9 then sell 3y
- if 0.9 ≤ Risk ≤ 1.0 then sell 4y
Ehlers Cycle Period [CC]The Cycle Period was created by John Ehlers and this is yet another version that shows how to calculate the current cycle period which is the approximate amount of days between a current peak or valley and the next peak or valley. I would not recommend this for trading since it is more for informational use only but I would try experimenting with this output to be used with another indicator as an input length. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color.
Let me know if there are any other scripts you would like to see me publish!
FFTLibraryLibrary "FFTLibrary" contains a function for performing Fast Fourier Transform (FFT) along with a few helper functions. In general, FFT is defined for complex inputs and outputs. The real and imaginary parts of formally complex data are treated as separate arrays (denoted as x and y). For real-valued data, the array of imaginary parts should be filled with zeros.
FFT function
fft(x, y, dir) : Computes the one-dimensional discrete Fourier transform using an in-place complex-to-complex FFT algorithm . Note: The transform also produces a mirror copy of the frequency components, which correspond to the signal's negative frequencies.
Parameters:
x : float array, real part of the data, array size must be a power of 2
y : float array, imaginary part of the data, array size must be the same as x ; for real-valued input, y must be an array of zeros
dir : string, options = , defines the direction of the transform: forward" (time-to-frequency) or inverse (frequency-to-time)
Returns: x, y : tuple (float array, float array), real and imaginary parts of the transformed data (original x and y are changed on output)
Helper functions
fftPower(x, y) : Helper function that computes the power of each frequency component (in other words, Fourier amplitudes squared).
Parameters:
x : float array, real part of the Fourier amplitudes
y : float array, imaginary part of the Fourier amplitudes
Returns: power : float array of the same length as x and y , Fourier amplitudes squared
fftFreq(N) : Helper function that returns the FFT sample frequencies defined in cycles per timeframe unit. For example, if the timeframe is 5m, the frequencies are in cycles/(5 minutes).
Parameters:
N : int, window length (number of points in the transformed dataset)
Returns: freq : float array of N, contains the sample frequencies (with zero at the start).
Pi Cycle Bitcoin High/LowThe theory that a Pi Cycle Top might exist in the Bitcoin price action isn't new, but recently I found someone who had done the math on developing a Pi Cycle Low indicator, also using the crosses of moving averages.
The Pi Cycle Top uses the 2x350 Daily MA and the 111 Daily MA
The Pi Cycle Bottom uses the 0.745x471 Daily MA and the 150 Daily EMA
Note: a Signal of "top" doesn't necessarily mean "THE top" of a Bull Run - in 2013 there were two Top Signals, but in 2017 there was just one. There has been one in 2021, but on-chain analysis and macro TA is pointing to there possibly being another one in 2021 or early 2022. Regardless, combining the two indicators (Top and Bottom) means the MAs that converge first will likely give good indication of which will cross first in the next few years.
There is as much of a chance of two "bottom" indications occurring in a single bear market, as nearly happened in the Liquidity Crisis in March 2020.
Ehlers Cycle Amplitude [CC]The Cycle Amplitude was created by John Ehlers (Trend Modes and Cycle Modes) and this indicator wasn't meant to give buy and sell signals by itself but I'm publishing this open source script in case someone comes up with a cool way to use this indicator for buy and sell signals. This indicator essentially tells you the distance between the peaks from the Cycle BandPass Filter and I will be including the last script tomorrow most likely. I'm reusing the same exact buy and sell signals from the cycle bandpass filter so if you have any questions then feel free to refer to the link I posted.
Let me know if there are any other scripts you would like to see me publish!
Ehlers Cycle BandPass Filter [CC]The Cycle BandPass Filter was created by John Ehlers (Cycle Modes and Trend Modes) and this is an alternate to the default BandPass Filter by changing some settings. This will be another series I will be introducing showing some indicators created by Ehlers and that didn't get much attention. This identifies the underlying cycle in the price data and these indicators aren't very common so I want to introduce more of these to tv. Buying and selling with these indicators can be a bit tricky but overall what Ehlers recommends is to buy at the lowest point and sell at the highest point to capture the underlying cycle. I have included strong buy and sell signals as darker colors and normal signals as lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there are any other scripts you would like to see me publish!
Financial Astrology Juno LongitudeJuno is the 4th largest object in terms of mass in the asteroid belt between Mars and Jupiter, this asteroid is not widely used by financial astrologers but as was demonstrated in our research with Ceres and Vesta, the objects in the asteroid belt seems to be very important for the trend forecast. The zodiacal energy of this objects cannot be ignored for an accurate analysis. Based in BTCUSD historical price data we calculated the daily trend (buy/sell) during the periods where Juno was transiting across different zodiac signs and we found some significant patterns:
INDEX:BTCUSD
Bullish zodiac signs
From 387 days located in Scorpio, price increased 62% of the days.
From 316 days located in Capricorn, price increased 64% of the days.
From 300 days located in Sagittarius, price increased 56% of the days.
From 435 days located in Libra, price increased 55% of the days.
Bearish zodiac signs
From 200 days located in Taurus, price decreased 56% of the days.
From 152 days located in Virgo, price decreased 58% of the days.
Note: The Juno longitude indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the data 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 timezone.
Ehlers Modified Relative Strength Index [CC]The Modified Relative Strength Index was created by John Ehlers (Cycle Analytics For Traders pgs 87-88) and this is a typical RSI that uses his roofing filter as the input. He smooths it with his own super smoother filter to provide signals. This indicator is extremely reactive and works in cycles so keep that in mind. I haven't been able to come up with clear buy and sell signals at this point so let me know if you any suggestions but I'm publishing the code to complete my goal of publishing all of his work one day. I will be publishing a bunch of Ehlers scripts in the next few weeks so stay tuned. What I recommend for buy and sell signals at this point are to buy when the indicator goes below the oversold line and starts going up and sell when the indicator goes below the oversold line a second time. Vice versa for sell signals.
Let me know if there are any other scripts you would like to see me publish!
Fast Fourier Transform (FFT) FilterDear friends!
I'm happy to present an implementation of the Fast Fourier Transform (FFT) algorithm. The script uses the FFT procedure to decompose the input time series into its cyclical constituents, in other words, its frequency components , and convert it back to the time domain with modified frequency content, that is, to filter it.
Input Description and Usage
Source and Length :
Indicates where the data comes from and the size of the lookback window used to build the dataset.
Standardize Input Dataset :
If enabled, the dataset is preprocessed by subtracting its mean and normalizing the result by the standard deviation, which is sometimes useful when analyzing seasonalities. This procedure is not recommended when using the FFT filter for smoothing (see below), as it will not preserve the average of the dataset.
Show Frequency-Domain Power Spectrum :
When enabled, the results of Fourier analysis (for the last price bar!) are plotted as a frequency-domain power spectrum , where “power” is a measure of the significance of the component in the dataset. In the spectrum, lower frequencies (longer cycles) are on the right, higher frequencies are on the left. The graph does not display the 0th component, which contains only information about the mean value. Frequency components that are allowed to pass through the filter (see below) are highlighted in magenta .
Dominant Cycles, Rows :
If this option is activated, the periods and relative powers of several dominant cyclical components that is, those that have a higher power, are listed in the table. The number of the component in the power spectrum (N) is shown in the first column. The number of rows in the table is defined by the user.
Show Inverse Fourier Transform (Filtered) :
When enabled, the reconstructed and filtered time-domain dataset (for the last price bar!) is displayed.
Apply FFT Filter in a Moving Window :
When enabled, the FFT filter with the same parameters is applied to each bar. The last data point of the reconstructed and filtered dataset is used to build a new time series. For example, by getting rid of high-frequency noise, the FFT filter can make the data smoother. By removing slowly evolving low-frequency components (including non-periodic constituents), one can reveal and analyze shorter cycles. Since filtering is done in real-time in a moving window (similar to the moving average), the modified data can potentially be used as part of a strategy and be subjected to other technical indicators.
Lowest Allowed N :
Indicates the number of the lowest frequency component used in the reconstructed time series.
Highest Allowed N :
Indicates the number of the highest frequency component used in the reconstructed time series.
Filtering Time Range block:
Specifies the time range over which real-time FFT filtering is applied. The reason for the presence of this block is that the FFT procedure is relatively computationally intensive. Therefore, the script execution may encounter the time limit imposed by TradingView when all historical bars are processed.
As always, I look forward to your feedback!
Also, leave a comment if you'd be interested in the tutorial on how to use this tool and/or in seeing the FFT filter in a strategy.
Financial Astrology Vesta SpeedVesta (asteroid) speed provides a good indicator to determine the periods of dominant trend. During the direct phase (when the speed accelerated and reached highest value) we can observe that BTCUSD experienced a clear trend, perfect for trend following. In the contrary when speed was decelerating and speed started backward motion (retrograde) the price was in congestion experiencing sideways moves. From statistical analysis we noted that when Vesta speed is in direct motion 56% of the days resulted in price increase. When speed was stationary (starting to move retrograde) we observed that in 62% of the days the price decreased, finally, during retrograde phase in 54% of the days the price increased. Is clear that direct motion also offers more bullish days. However, in the statistical analysis of the price is not evident the price change range, with visual exploration in the chart is clear that when Vesta speed is in direct phase the range of the price is wider, therefore, direct motion provides the most interesting risk/reward ratio.
Note: The Vesta speed indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the data 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 timezone.
