@tk · spectral█ OVERVIEW
This script is an indicator that helps traders to identify the price difference between spot and futures of the current crypto plotted into the chart. It works in both types of markets, when the chart is plotting the crypto in spot market, it will compare with its respective futures ticker and vice-versa. If the current asset isn't a crypt ticker, the indicator will not be plotted into the chart.
█ MOTIVATION
Since crypto's derivative market is based on spot market asset's price, to calculate the arbitrage mechanisms that attempts to balance the asset price, this indicator can help traders to identify some spot and futures price divergence that can create an anomaly of funding rate and can push it to an extreme negative — or positive — rate. So, easing to track the price difference between both markets will bring more evidences to identify an artificial price move, specially in crypto assets with low market cap.
█ CONCEPT
The trading concept to use this indicator is the concept of the arbitrage machamism created by exchanges that calculates the funding rate based on spot and futures price difference that will vary from exchange to exchange. This strategy don't works alone. It needs to be aligned together with others indicators like Exponential Moving Averages, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis.
█ CUSTOMIZATION
This indicator allows the trader to customize the following settings:
GENERAL
Text size
Changes the font size of price difference table to improve accessibility.
Type: string
Options: `tiny`, `small`, `normal`, `large`.
Default: `small`
Position
Changes the position of price difference table.
Type: string
Options: `top_left`, `top_center`, `top_right`, `middle_left`, `middle_center`, `middle_right`, `bottom_left`, `bottom_center`, `bottom_right`.
Default: `bottom_right`
Pair Quote
The ticker quote symbol that will be used to base the ticker comparison from spot to futures (e.g. BTCUSDT which `USDT` is the quote. ETHBTC which `BTC` is the quote).
Type: string
Default: USDT
Spectrum Color
The color of the spectrum candles. Spectrum candles are the candles of the opposite market. If the current ticker is in the spot market, the spectrum candles will be the price of the futures market.
Type: color
Default: #434651
█ FUNCTIONS
The indicator contains the following functions:
stripStarts(src, str)
Strips a defined pattern from a string.
Parameters:
src: (string) Source string
str: (string) String pattern to be stripped from start of source string.
Returns: (string) Stripped string with matched regex pattern.
Cari dalam skrip untuk "crypto"
CE - 42MACRO Equity Factor Table This is Part 1 of 2 from the 42MACRO Recreation Series
The CE - 42MACRO Equity Factor Table is a whole toolbox packaged in a single indicator.
It aims to provide a probabilistic insight into the market realized GRID Macro Regime, use a multiplex of important Assets and Indices to form a high probability Implied Correlation expectation and allows to derive extra market insights by showing the most important aggregates and their performance over multiple timeframes... and what that might mean for the whole market direction, as well as the underlying asset.
WARNING
By the nature of the macro regimes, the outcomes are more accurate over longer Chart Timeframes (Week to Months).
However, it is also a valuable tool to form a proper,
market realized, short to medium term bias.
NOTE
This Indicator is intended to be used alongside the 2nd part "CE - 42MACRO Yield and Macro"
for a more wholistic approach and higher accuracy.
Due to coding limitations they can not be merged into one Indicator.
Methodology:
The Equity Factor Table tracks specifically chosen Assets to identify their performance and add the combined performances together to visualize 42MACRO's GRID Equity Model.
For this it uses the below Assets, with more to come:
Dividend Compounders ( AMEX:SPHD )
Mid Caps ( AMEX:VO )
Emerging Markets ( AMEX:EEM )
Small Caps ( AMEX:IWM )
Mega Cap Growth ( NASDAQ:QQQ )
Brazil ( AMEX:EWZ )
United Kingdom ( AMEX:EWU )
Growth ( AMEX:IWF )
United States ( AMEX:SPY )
Japan ( AMEX:DXJ )
Momentum ( AMEX:MTUM )
China ( AMEX:FXI )
Low Beta ( AMEX:SPLV )
International ex-US ( NASDAQ:ACWX )
India ( AMEX:INDA )
Eurozone ( AMEX:EZU )
Quality ( AMEX:QUAL )
Size ( AMEX:OEF )
Functionalities:
1. Correlations
Takes a measure of Cross Market Correlations
2. Implied Trend
Calculates the trend for each Asset and uses the Correlation to obtain the Implied Trend for the underlying Asset
There are multiple functionalities to enhance Signal Speed and precision...
Reading a signal only over a certain threshold, otherwise being colored in gray to signal noise or unclear market behavior
Normalization of Signal
Double Normalization of Signal for more Speed... ideal for the Crypto Market
Using an additional Hull Moving Average to enhance Signal Speed
Additional simple Background coloring to get a Signal from the HMA
Barcoloring based on the Implied Correlation
3. Equity Factor Table
Shows market realized Asset performance
Provides the approximate realized GRID market regimes
Informs about "Risk ON" and "Risk OFF" market states
Now into the juicy stuff...
Visuals:
There is a variety of options to change visual settings of what is plotted and where
+ additional considerations.
Everything that is relevant in the underlying logic which can improve comprehension can be visualized with these options.
More to come
Market Correlation:
The Market Correlation Table takes the Correlation of all the Assets to the Asset on the Chart,
it furthermore uses the Normalized KAMA Oscillator by IkkeOmar to analyse the current trend of every single Asset.
(To enhance the Signal you can apply the mentioned Indicator on the relevant Assets to find your target Asset movements that you intend to capture...
and then change the length of the Indicator in here)
It then Implies a Correlation based on the Trend and the Correlation to give a probabilistically adjusted expectation for the future Chart Asset Movement.
This is strengthened by taking the average of all Implied Trends.
Thus the Correlation Table provides valuable insights about probabilistically likely Movement of the Asset over the defined time duration,
providing alpha for Traders and Investors alike.
Equity Factors:
The table provides valuable information about the current market environment (whether it's risk on or risk off),
the rough GRID models from 42MACRO and the actual market performance.
This allows you to obtain a deeper understanding of how the market works and makes it simple to identify the actual market direction,
makes it possible to derive overall market Health and shows market strength or weakness.
Utility:
The Equity Factor Table is divided in 4 Sections which are the GRID regimes:
Economic Growth:
Goldilocks
Reflation
Economic Contraction:
Inflation
Deflation
Top 5 Equity Factors:
Are the values green for a specific Column?
If so then the market reflects the corresponding GRID behavior.
Bottom 5 Equity Factors:
Are the values red for a specific Column?
If so then the market reflects the corresponding GRID behavior.
So if we have Goldilocks as current regime we would see green values in the Top 5 Goldilocks Cells and red values in the Bottom 5 Goldilocks Cells.
You will find that Reflation will look similar, as it is also a sign of Economic Growth.
Same is the case for the two Contraction regimes.
This whole Indicator, as well as the second part, is based to a majority on 42MACRO's models.
I only brought them into TV and added things on top of it.
If you have questions or need a more in-depth guide DM me.
Will make a guide to all functionalities if necessity becomes apparent.
GM
Spot Symbols for CryptoLibrary "CryptoSpotSymbols"
This Library has one purpose only. It generate Symbols for the Crypto Spot Market, like all the currencies pairs of most Crypto Exchanges available to TradingView.
Have a look at .find() , which is an all in one function.
Binance(basecurrency)
Generate 27 Symbols for the Spot Market of Binance.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
BinanceUS(basecurrency)
Generate seven Symbols for the Spot Market of BinanceUS.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Bitfinex(basecurrency)
Generate 12 Symbols for the Spot Market of Bitfinex.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
bitFlyer(basecurrency)
Generate three Symbols for the Spot Market of bitFlyer.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Bitget(basecurrency)
Generate seven Symbols for the Spot Market of Bitget.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Bithumb(basecurrency)
Generate two Symbols for the Spot Market of Bithumb.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
bitkub(basecurrency)
Generate one Symbol for the Spot Market of bitkub.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: THB
BitMEX(basecurrency)
Generate two Symbols for the Spot Market of BitMEX.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
bitpanda_pro(basecurrency)
Generate six Symbols for the Spot Market of bitpanda pro.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
bitrue(basecurrency)
Generate nine Symbols for the Spot Market of bitrue.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Bitstamp(basecurrency)
Generate eight Symbols for the Spot Market of Bitstamp.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
BITTREX(basecurrency)
Generate six Symbols for the Spot Market of BITTREX.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
BTSE(basecurrency)
Generate 15 Symbols for the Spot Market of BTSE.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
BYBIT(basecurrency)
Generate five Symbols for the Spot Market of BYBIT.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
CapitalCom(basecurrency)
Generate five Symbols for the Spot Market of capital.com.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
coinbase(basecurrency)
Generate seven Symbols for the Spot Market of coinbase.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
CoinEx(basecurrency)
Generate three Symbols for the Spot Market of CoinEx.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
CurrencyCom(basecurrency)
Generate 30 Symbols for the Spot Market of currency.com.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Delta(basecurrency)
Generate one Symbol for the Spot Market of Delta.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: USDT
Deribit(basecurrency)
Generate two Symbols for the Spot Market of Deribit.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
easyMarkets(basecurrency)
Generate one Symbol for the Spot Market of easyMarkets.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: USD
Eightcap(basecurrency)
Generate one Symbol for the Spot Market of Eightcap.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: USD
ExMo(basecurrency)
Generate ten Symbols for the Spot Market of ExMo.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
FOREXcom(basecurrency)
Generate four Symbols for the Spot Market of FOREX.com.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
FXCM(basecurrency)
Generate three Symbols for the Spot Market of FXCM.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
GateIO(basecurrency)
Generate five Symbols for the Spot Market of Gate.io.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Gemini(basecurrency)
Generate ten Symbols for the Spot Market of Gemini.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Kraken(basecurrency)
Generate 14 Symbols for the Spot Market of Kraken.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
KuCoin(basecurrency)
Generate 13 Symbols for the Spot Market of KuCoin.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
MEXC(basecurrency)
Generate six Symbols for the Spot Market of MEXC.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
OANDA(basecurrency)
Generate one Symbol for the Spot Market of OANDA.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: USD
OKX(basecurrency)
Generate six Symbols for the Spot Market of OKX.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Pepperstone(basecurrency)
Generate one Symbol for the Spot Market of Pepperstone.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns: USD
phemex(basecurrency)
Generate four Symbols for the Spot Market of phemex.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
POLONIEX(basecurrency)
Generate nine Symbols for the Spot Market of POLONIEX.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Pyth(basecurrency)
Generate three Symbols for the Spot Market of Pyth.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
Skilling(basecurrency)
Generate four Symbols for the Spot Market of Skilling.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
TimeX(basecurrency)
Generate six Symbols for the Spot Market of TimeX.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
TradeStation(basecurrency)
Generate four Symbols for the Spot Market of TradeStation.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
UpBit(basecurrency)
Generate four Symbols for the Spot Market of UpBit.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
whitebit(basecurrency)
Generate 13 Symbols for the Spot Market of whitebit.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
WOOX(basecurrency)
Generate two Symbols for the Spot Market of WOO.
Parameters:
basecurrency (simple string) : Its the Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`.
Returns:
find(exchange, basecurrency)
Generate up to 30 Symbols for the Spot Market, depending on the market picked.
Parameters:
exchange (simple string) : The name of an Exchange. Case insensitivity. Optional. Default value is `syminfo.prefix`. If something else is put in here it will return `na` values.
basecurrency (simple string) : The Basecurrency to generate the Symbols with. Optional. Default value is `syminfo.basecurrency`
Returns: 30x string as tuple
Bitcoin Limited Growth ModelThe Bitcoin Limeted Growth is a model proposed by QuantMario that offers an alternative approach to estimating Bitcoin's price based on the Stock-to-Flow (S2F) ratio. This model takes into account the limitations of the traditional S2F model and introduces refinements to enhance its analysis.
The S2F model is commonly used to analyze Bitcoin's price by considering the scarcity of the asset, measured by the stock (existing supply) relative to the flow (new supply). However, the LGS-S2F Bitcoin Price Formula recognizes the need for improvements and presents an updated perspective on Bitcoin's price dynamics.
Invalidation of the Normal S2F Model:
The normal S2F model has faced criticisms and challenges. One of the limitations is its assumption of a linear relationship between the S2F ratio and Bitcoin's price, overlooking potential nonlinearities and other market dynamics. Additionally, the normal S2F model does not account for external influences, such as market sentiment, regulatory developments, and technological advancements, which can significantly impact Bitcoin's price.
Addressing the Issues:
The LGS-S2F Bitcoin Price Formula introduces refinements to address the limitations of the traditional S2F model. These refinements aim to provide a more comprehensive analysis of Bitcoin's price dynamics:
Nonlinearity: The LGS-S2F model recognizes that the relationship between the S2F ratio and Bitcoin's price may not be linear. It incorporates a logistic growth function that considers the diminishing returns of scarcity and the saturation of market demand.
Data Analysis: The LGS-S2F model employs statistical analysis and data-driven techniques to validate its predictions. It leverages historical data and econometric modeling to support its analysis of Bitcoin's price.
Utility:
The LGS-S2F Bitcoin Price Formula offers insights for traders and investors in the cryptocurrency market. By incorporating a more refined approach to analyzing Bitcoin's price, this model provides an alternative perspective. It allows market participants to consider various factors beyond the S2F ratio alone, potentially aiding in their decision-making processes.
Key Features:
Adjustable Coefficients
Sigma calculation methods: Normal or Stdev
Credit:
The LGS-S2F Bitcoin Price Formula was developed by QuantMario, who has contributed to the field of cryptocurrency analysis through their research and modeling efforts.
USDT Inflow TrackerUSDT INFLOW TRACKER
What does this script do? It looks for important inflow from USDT and write it below or above your chart.
Does it matter? Yes because Tether with planned USDT inflow highly manipulate the crypto market.
With this simple script you can study what and when something strange is going to happen on your favourite token.
HOW IT WORKS?
Pretty simple. It just continuosly check USDT (and USDC) Market Cap and verify if the last candle is way higher than last one. If it was way higher than expected it plot a green square and write a note with the total Inflow of USDT in the crypto market (not specifcially for your token)
Now you can see when an important inflow is done and start to plan your entry and exit strategy in the crypto market.
AUTOSET
With Autoset you can rely on standard values
5min TF : Inflow greater than of 15 mln (in 1 candle)
30min TF : Inflow greater than of 150 mln (in 1 candle)
60min TF : Inflow greater than of 300 mln (in 1 candle)
1Day TF : Inflow greater than of 900 mln (in 1 candle)
So you can check your favourite coin in no time looking for a good trading position
MANUAL SETTINGS
Otherwise you can set directly your Inflow to track based on your needs.
In the example below I've set to check everytime an Inflow of 25mln USDT or greater was done.
As you can see it highly influence the relative token.
Inter-Exchanges Crypto Price Spread Clouds (Tartigradia)Display variations in min-max and median values of high, low and close across exchanges. It's a kind of realized volatility indicator, as the idea is that in times of high volatility (high emotions, fear, uncertainty), it's more likely that market inefficiencies will appear for the same asset between different market makers, ie, the price can temporarily differ a lot. This indicator will catch these instants of high differences between exchanges, even if they lasted only an instant (because we use high and low values).
Compared with my other "Inter-Exchanges Crypto Price Spread Deviation" indicator, this one overlays directly on the chart, and offers a different take based on the same premisses. Instead of summarizing volatility via standard deviation, here we display clouds of the range of values that were observed.
A big advantage of this approach is that it can also be used to determine safe stop loss levels, especially the values of percentile rank (i.e., what are the high values that were observed in at least 50% of exchanges?).
Indeed, all price levels are displayed in the indicator's status bar:
green for high values,
red for low values,
aqua for median,
purple for average,
The first two values are max and min values of high across exchanges (in green).
The next two values are max and min of low across exchanges (in red).
The next two values are median (aqua) and average (purple).
The last two values are percentile rank values for high (green) and low (red) respectively.
Another advantage is that the high (green) vs low (red) clouds can be seen as representing the buying or selling pressure respectively across exchanges, and this may in itself provide a signal to know whether one side is winning.
Link to my other complementary indicator:
Compared to other inter-exchanges spread indicators, this one offers two major features:
The symbol automatically adapts to the symbol currently selected in user's chart. Hence, switching between tickers does not require the user to modify any option, everything is dynamically updated behind the scenes.
It's easy to add more exchanges (requires some code editing because PineScript v5 does not allow dynamical request.security() calls).
Limitations/things to know:
History is limited to what the ticker itself display. Ie, even if the exchanges specified in this indicator have more data than the ticker currently displayed in the user's chart, the indicator will show only a timeperiod as long as the chart.
The indicator can manage multiple exchanges of different historical length (ie, some exchanges having more data going way earlier in the past than others), in which case they will simply be ignored from calculations when far back in the past. Hence, you should be aware that the further you go in the past, the less exchanges will have such data, and hence the less accurate the measures will be (because the deviation will be calculated from less sources than more recent bars). This is thanks to how the array.* math functions behave in case of na values, they simply skip them from calculations, contrary to math.* functions.
ONCHAIN: BTC HOLDERS/RETAIL Assets RatioThis indicator is based on on-chain data developed exclusively for Bitcoin
This indicator measures the ratio of Hodlers' assets to Retails' assets based on the On-chain data of Intotheblock platform (you can find it on Sources). This is consistent with Wyckoff's theory of accumulation and distribution. At the top of the market, Hodlers have sold most of their assets to retailers, so this ratio is at its lowest. At market bottoms, Hodlers accumulates the asset at low prices. The uptrend and downtrend of this indicator can also be used to confirm the uptrend or downtrend of the Bitcoin market.
Crypto Index (DXY) CandlesA modification of @loxx's "Dollar Index (DXY) Candles" allowing for a user selected basket of tickers using the same weights as the standard DXY. Ticker Inputs are in descending order so highest weight is at the top by default, although weighting can be changed manually by modifying the symbol's corresponding weight input in the settings. The Idea was to get a bird's eye view of the crypto space using some of the more relevant names in the space. User's can use the toggle in the settings for viewing the default DXY for comparison. Indicator should be used as a confirmation when looking at long term trend changes in the space, shorter time frames may, or may not be as useful.
BTC TOTALVOLUME MOMENTUM: OnchainThis is an indicator for Bitcoin based on on-chain volume. It is important in several ways.
The upward trend of the red line indicates the increase in trading volume and the possibility of an upward trend in the future
The downward trend of the red line indicates a decrease in trading volume and the possibility of a price decrease in the future
The bullish crossover of the red line with the blue line is a confirmation of the bullish trend
A bearish crossover is confirmation of a bearish trend
Coin & market cap tableThis table was built specifically for the Crypto market.
It gives you a quick overview of the markets without having to scroll through numerous charts. The information is the overall markets daily change and the charts coins movement on a daily, weekly and monthly basis.
The weeks start on a Monday morning, the months start on the 1st of the month so this is last weeks data and last calendar months data.
It also gives you Bitcoins dominance. (Total2) you can change it to Bitcoin & Ethereum dominance (Total3)
BTC NEW ADDRESS MOMENTUM: OnchainThis is a new oscillator that works based on the momentum of new addresses in the Bitcoin blockchain. Use this oscillator on the daily time frame. This oscillator consists of 2 moving averages on the number of new addresses. 30-day and 365-day moving averages. The upward crossover of the number of new addresses is usually associated with the beginning of an upward trend, and the downward crossover is associated with the beginning of a downward trend on the price chart.
Z Score BandThis is a band based on Z Score. What is Z Score? In layman's terms it's a method of finding outliers within a sequence of numbers. It's highly effective to quantify pump and dumps in the crypto market.
The middle line is a simple Exponential Moving Average, you can configure this with whatever period you prefer. It comes default with a period of 247 to which I find suitable for my style of trading. The upper and lower bound are determined by the standard deviation you choose in the settings, it comes with a default of 1.69 although I've heard people saying 2.5 is a better number to really pinpoint outliers.
Trading with this indicator is like trading with any band based indicator. The main difference is that this indicator's sole purpose when I wrote it is to help me find shorting positions in the futures market. On the contrary though, longs are also achievable although I rarely long the futures market.
If prices hit the upper bound and get rejected, it's probably because the move was an outlier, it doesn't happen often and when it does usually it reveals crypto's nature of buying spot and hedging short in the futures market. When prices stay above the upper bound, switch to a higher timeframe until we can see that it's still have some ways upwards.
What's true about using this as a shorting tool is also true with longs. However, it might not be as effective, I'd like to be proven wrong.
BTC Dominance Exclude Stablecoins(USDT, USDC, DAI)This index's goal is to show the true bitcoin dominance relative to other risky crypto assets, excluding the diluting effects of those ever-increasing stablecoin(USDT, USDC, DAI)'s market cap. In this index, we can see the BTC dominance has been solid increasing & construct bottom during recent fear/bear.
Xiaolai Chen
Sept 14th 2022
Joel on Crypto - MACD ScalpingJoel on Crypto - MACD Scalping
This is a Scalping indicator primarily intended for the 5 minute time frame.
It is based on the Crypto Scalping YouTuber Joel on Crypto's popular 5 minute scalping strategy and this is the indicator he personally use when Scalping.
This is a Multi-timeframe indicator where if you use it on the 5 minute time frame, the MACD Histogram bars will be based on the 1 minute timeframe.
The purpose of this indicator is not to trade it like a bot. The purpose is to grab the traders attention a time where there COULD be a scalping opportunity.
Use this indicator at your own risk.
BTC Pi MultipleThe Pi Multiple is a function of 350 and 111-day moving average. When both intersect and the 111-day MA crosses above, it has historically coincided with a cycle top with a 3-day margin.
With the Pi Multiple, this intersection is visible when the line crosses zero upwards.
The indicator is called the Pi Multiple because 350/111 is close to Pi. It is based on the Pi Cycle Top Indicator developed by Philip Swift and has been modified for better readability by David Bertho.
Sherry on cryptoIf the price is above the 200 EMA, you are allowed to open only long positions and avoid shorts.
If the price is below the 200 EMA, you are allowed to open only short position and avoid longs. Don't use this indicator alone, use RSI, Stochastic RSI etc. Do not use this indicator like a bot, do TA and FA as well. This is just an indicator, do not always rely on it. It requires experience. This indicator has different winrate in different timeframes. Set its value accordingly.
Supply Weighted Moving Average: OnchinUse this Onchain Channel in Weekly Timeframe - on BTCUSD BUTSTAMP Chart:
This Moving average channel is weighted based on BTC's new Supply:
I believe the slope of the Bitcoin trend line is correlated to the new supply and the issue of Halving.
The chart below shows this:
In fact, after each Halving, the supply is halved. Halving the supply increases the demand-for-supply ratio and increases the price. But the uptrend slope also halves after each halving.
Therefore, the slope of the bitcoin trend is correlated with the new supply rate. This is the logic of this new metric.
Accordingly, the moving average is weighted based on the new supply. This new channel can identify where bitcoin is too cheap or too expensive in the historical chart. It has also marked support/resistance Supply Weighted Moving Average.
BTC New Supply: OnchainThis Onchain Metric shows the sum of newly issued coins.
This metric is very useful for finding new bull run cycles in the market. The new bull run is accompanied by a significant drop in the new supply.
BTC Supply weighted channel: OnchainUse this oscillator in the weekly time frame and then draw the above linear channel
The premise of this idea is that the trend slope of the bitcoin price correlates with the bitcoin supply chart, which shows the total amount of bitcoin ever created/issued.
Therefore, Bitcoin price is weighted based on Bitcoin supply.
As a result, the above channel has been created, which is a linear channel, and it seems that it can be an oscillator to determine the bitcoin trend, as well as the tops and bottoms of the market.
Bitcoin seems to respect the bottom and top lines of this channel as well as its midline
BTC Leading SOPR: OnchainUse This indicator in Weekly Timeframe:
This Onchain Metric is based on SOPR Moving Average.
This metric is very efficient for finding the tops and bottoms of the market as well as the ascending or descending biases in the market.
You can use it alongside RSI to filter out incorrect rsi signals
overhigh areas signal a top, overlow areas signal a low, zero line cross-up indicates an uptrend bias and its cross-down indicates a downtrend bias in the market
ETH MA ChannelThe 200-week moving average for bitcoin is considered to be the most popular bitcoin support and determines the bitcoin price bottom. But examining this index in the case of bitcoin does not have the same result for Ethereum. The above moving average channel is designed according to the price action of ETH to determine its top and bottom based on the 200w moving average. This channel has a good performance on the historical chart.
Bitcoin Bottom Detector: W TimeframeUse this indicator in the weekly time frame:
One of the most widely used indicators for identifying the Bitcoin market bottom is the 200-week moving average. This indicator works based on the ratio of price to the value of the 200-week moving average. When the indicator enters the lower blue part (overflow area), it indicates the bitcoin is in the bottom of the market.
BTC SOPR Momentum: OnchainThis Onchin metric is based on SOPR data
Use this metric on daily and weekly timeframes:
SOPR:
The Spent Output Profit Ratio (SOPR) is computed by dividing the realized value (in USD) divided by the value at creation (USD) of a spent output. Or simply: price sold / price paid. Renato Shirakashi created this metric. When SOPR > 1, it means that the owners of the spent outputs are in profit at the time of the transaction; otherwise, they are at a loss. You can find "SOPR" in tradingview indicators
BTC SOPR Momentum: Onchain
This metric is based on SOPR Momentum. I made some changes to it so that its momentum can be checked.
Interpretation:
If the indicator is above the gray level of resistance/support, bitcoin has an uptrend and Bullish bias
If the indicator is below the resistance/ support level, bitcoin has a downtrend and Bearish Bias
Crossup the gray level is a long signal
Cross-down the gray level is a shorts signal
Entering and exit of the indicator to the overhigh area means creating a top
Entering and leaving the indicator to the overflow area means creating a bottom
