Chanu Delta IndicatorThe Chanu Delta Indicator was created as the price difference between the two markets using the principle that the Bitcoin price fluctuations in the BTCUSD market on the BYBIT exchange are greater in the BTCUSDT market. This indicator shows the strength of the current market's buys and sells, and helps in short-term trading.
Chanu Delta Indicator (Δ) = BTCUSD ($) - BTCUSDT ($) (Unit: Dollar, Source: Close)
● Δ > 100 : Strong Buy
● 20 < Δ < 100 : Buy
● -20 < Δ < 20 : Neutral
● -100 < Δ < -20 : Sell
● Δ < -100 : Strong Sell
BTCUSD
RTA MACD IndicatorRTA MACD Indicator comes from RTA Academy, author: RTA-Ruomise, public indicator.
instruction
This indicator is different from the traditional MACD indicator. The indicator combines the double moving average system with the traditional MACD indicator to judge the trend, and has made a new definition of the fast and slow lines and smooth lines, which is limited to the digital currency market.
And a logarithmic version is added, because as the price of BTC in the digital currency market rises, the BTC base is much higher than before. MACD fast and slow lines indicate price changes. In order to better judge the rate of price changes, the fast and slow lines are processed logarithmically, so that the speed of price changes can be observed more intuitively.
And the new deviation identification function, because there are many ways to define market deviation, according to the author's definition of identification deviation.
Function
Select【Logarithmic Edition】【Original Edition】【Volume Edition】
Modify the length of the fast line (default 14)
Modify the length of the slow line (default 28)
Fast and slow line smoothing (default 10)
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RTA MACD Indicator 来自RTA学院，作者：RTA-Ruomise, 公开指标。
RTA MACD Indicator 中文名 RTA MACD指标
说明
该指标不同于传统MACD指标，指标结合双均线系统，配合传统MACD指标对趋势进行判断，对快慢线和平滑线做了新的定义，仅限于数字货币市场使用。
并新增对数版，因为随着数字货币市场BTC价格升高，BTC基数比之前高得多。MACD快慢线表示是价格变化，为了更好判断出价格变动的速率，对快慢线进行对数处理，这样便能更加直观观察价格变化的速度。
且新增背离标识功能，因为市场背离的方式定义非常多，根据作者定义标识背离情况。
功能
选择【对数版】【原版】【成交量版】
修改快线长度（默认14）
修改慢线长度（默认28）
快慢线平滑（默认10）
当前版本
2021/07/30 V2.2
Bitcoin S2F(X)This indicator shows the BTCUSD price based on the S2F Model by PlanB.
We can see not only the S2F(Stock-to-Flow) but also the S2FX(Stock-to-Flow Cross Asset) model announced in 2020.
█ Overview
In this model, bitcoin is treated as comparable to commodities such as gold .
These commodities are known as "store of value" commodities because they retain their value over time due to their relative scarcity.
Bitcoins are scarce.
The number of coins in existence is limited, and the rate of supply is at an all-time low because mining the 2.2 million outstanding coins that have yet to be mined requires a lot of power and computing power.
The Stock-to-flow ratio is used to evaluate the current stock of a commodity (the total amount currently available) versus the flow of new production (the amount mined in a given year).
The higher this ratio, the more scarce the commodity is and the more valuable it is as a store of value.
█ How To View
On the above chart price is overlaid on top of the S2F(X) line. We can see that price has continued to follow the stock-to-flow of Bitcoin over time. By observing the S2F(X) line, we can expect to be able to predict where the price will go.
The coloured circles on the price line of this chart show the number of days until the next Bitcoin halving event. This is an event where the reward for mining new blocks is halved, meaning miners receive 50% fewer bitcoins for verifying transactions. Bitcoin halvings are scheduled to occur every 210,000 blocks until the maximum supply of 21 million bitcoins has been generated by the network. That makes stock-to-flow ratio (scarcity) higher so in theory price should go up.
The stock-to-flow line on this chart incorporates a 463-day average into the model to smooth out the changes caused in the market by the halving events.
I recommend using this indicator on a weekly or monthly basis for BITSTAMP:BTCUSD .
█ Reference Script
Bitcoin Stock to Flow Multiple by yomofoV
MacroCorrelation (Bitcoin Real Value)The best minds in the financial world think about how to determine the real value of an asset.
I constantly say that it is necessary to buy an asset only at the moment when its market price is below or equal to its fundamental value. Let's see what is the difference between these two concepts.
Fundamental value
Imagine that we decided to grow and sell, for example, strawberries. For this, we purchased the necessary equipment, tools, fertilizers, seeds, and more. Let's say that we needed $ 3000 for this purpose.
To facilitate the task, in our calculation we will not take into account all types of possible costs (electricity cost, workers' wages, necessary tax deductions, etc.).
If we had to take a loan to meet the initial needs, for example, at 10% per annum , then each borrowed $ 1000 in a year would cost us $ 1100. That is, $ 3000 would cost us $ 3300 per year.
Let's agree that our initial funds were completely enough to buy everything we needed, and we didn't need to take out a loan at a certain percentage. In this case, we exclude from the calculation the cost of the capital required to start your own business.
Suppose we managed to harvest 100 kg of strawberries. This means that the real value (fundamental value) of 1 kg of our strawberries is $ 30.
Market price
Things are a little different with the market price. The market price is determined by the volume of supply and demand for a particular product or service at a particular point in time.
By demand, we mean the intention to purchase a product or service (secured by the ability to pay a set price for it). A need that exceeds solvency is not a demand.
By offer, we mean the willingness to provide ownership (use) of the object of demand for a certain fee.
Simply put, the market price is the price at which the buyer is willing to buy (and the seller to sell) the volume of goods we need.
In our case, the price at which we sell 1 kg of our strawberries will depend on how much people really need our strawberries.
If we are the only sellers of strawberries in a certain territory and, at the same time, buyers really want to taste fresh strawberries, its market price can be as high as the last buyer is able to pay. If not, everything will depend on how high quality our product will be for its price. At the same time, the price constantly varies over a certain period of time ( seasonality and other factors). For example, if in winter we could sell 1 kg of our strawberries for $ 90, then in summer for $ 50. Strawberry prices range from $ 50 to $ 90.
Magic formula
We now understand what is the difference between fundamental value and market price. If the first is made up exclusively of a set of real metrics, the second is a variable factor that depends primarily on “human factors” (what is the maximum price the buyer is willing to pay, what is the minimum price the seller is willing to set at a particular moment in time).
You should try to buy an asset only at the moment when its market price is below or equal to its fundamental value.
However, how can you independently determine the fundamental value of an asset?
Unfortunately, there is no universal answer to this question, just as there is no universal “magic formula” in nature (my sincere respect, Joel Greenblatt) that could determine the fundamental value of any asset on the planet. The point is precisely in the criterion of universality. If we consider each asset (or at least the market) separately, we can well determine its fundamental value.
Even those things that seem free to us in everyday life (just their cost are negligible) have a fundamental value.
Three factors to assess the fundamental value of Bitcoin
Let's try to take a separate asset, for example Bitcoin , and do with it everything that we did earlier with our “strawberry business”.
When assessing the real (fundamental) value of Bitcoin , we will take into account 3 main factors.
1. The maximum possible and current supply in the Bitcoin market
The reward for mining a Bitcoin block is halved every 210,000 blocks. This fact is called halving (halving). When all blocks are mined, the total amount of existing bitcoins will be 21 million coins.
Accordingly, the maximum supply in the Bitcoin network will not exceed 21 million coins.
In reality, things are even better, since this volume also includes a certain amount of lost coins. By lost, we mean all those coins whose “private keys” the last owner no longer has access to. For example, at the time of the appearance of Bitcoin in 2009, its real value was doubtful and not obvious to most of its owners, many of whom did not pay due attention to understanding the safe storage of an asset, periodically losing access to hundreds and thousands of coins.
As a result, we understand that the total supply in the Bitcoin market will be significantly less than 21 million coins.
To evaluate the proposal, it is not enough to understand how much of the asset exists, because a certain amount of it, as we have already understood, can either be lost or be blocked for a long time. It is also important to take into account the criterion of “supply in time”. That is, the current total “liquidity” of the network.
2. Bitcoin network hashrate
The main indicator of the viability and stability of the Bitcoin network is the hash rate (computing power). Stable hashrate = network security.
3. The real value of the US dollar
When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar .
It is believed that assets such as stocks or cryptocurrencies are extremely volatile (the price can change over a wide range within a relatively short period of time). At the same time, to reduce volatility , experts advise using the so-called “currency baskets”.
A currency basket is a certain percentage of foreign currencies in which the investor's capital can be distributed. The ratio of currency units in the basket is used to reduce the potential risk of currency fluctuations.
The main problem is that, due to inflation , the purchasing power of the currencies themselves drops significantly over time.
With the $ 100 we earned in 1913, already in the 1920s we could have purchased 50% fewer goods and services than before. In the 1980s, it was 90% less, and in the 2010s it was already 98% less.
This fact must also be taken into account when assessing the real value of Bitcoin , since everything is relative, and in the Bitcoin / Dollar pair, we determine the value of Bitcoin , expressed in US dollars.
The real value of Bitcoin
After assessing the relationship of the factors described above and drawing up a mathematical formula, we can proceed to the analysis of the results. In order to cut off unnecessary noise when constructing the function, we will use the graph for 1 month.
Analyzing the resulting chart, first of all, the following is striking: the fundamental value of Bitcoin grows over time. This is due to the gradual expansion of the "user base" of the network, as well as the growth of its popularity among investors of completely different classes.
I propose to compare the graph obtained earlier with the graph of Internet users (in% of the number of adult US citizens ). Similar, don't they?
The more the number of Internet users, the higher its influence and economic potential. The more the number of users of the Bitcoin network, the higher its economic potential and fundamental value.
However, understanding the fundamental value alone is not enough. We, as investors, first of all need to understand when to buy any asset.
To do this, compare the chart of the market price of Bitcoin with the chart of its fundamental value obtained earlier.
Now that we have a complete picture of what is happening and understand both the fundamental value of the asset and its market price, the fact of the numerical prevalence of the price over the fundamental value for 116 out of 133 months becomes quite clear. Periods of Bitcoin being below its fundamental value are extremely rare and only take ~ 13% of the trading time.
For about 87% of all trading time, Bitcoin's market price is above its fundamental value. Those rare periods when traders are willing to sell bitcoin below its fundamental value are an incredible gift for a long-term investor.
Bull and Bear Markets
If you buy Bitcoin (like any other asset) below its fundamental value, this is an absolutely incredible idea in terms of potential profitability, who in their right mind would sell their assets below this mark ?!
It's all about the emotionality of people. Saying “I will not do stupid things when the time is right” is easier than actually maintaining composure. Especially when it comes to money. Your money. And sometimes even dreams.
The classical market theory usually divides the market into two main phases: A bull market is a period of time during which the price rises systematically (accordingly, the demands and expectations of traders gradually grow). A bear market is a period of time during which the price gradually falls (accordingly, traders' requests and expectations gradually fall).
There is also the concept of “correction”: A correction is a temporary change in the price of an asset, contrary to the main trend.
For the current day, there is not a single clear criterion that separates the concept of a bear / bull market from the concept of a correction. However, we can say with confidence that the market change (from bullish to bearish or from bearish to bullish ) is interconnected with the fundamental factors of the market. Corrections, on the other hand, have significantly less connection with fundamental indicators.
and are rather related to the “physiology of the market” (nothing can only rise in price every unit of time for a significantly long time, nothing can only fall in price every unit of time for a significantly long time).
In this case, the most rational would be to define a bear market as a delay in updating the absolute historical highs of the price with a preliminary touch of the fundamental value.
Buying below the fundamental value is always a smarter idea than buying above the fundamental value, since, in most cases, it is the touch of the fundamental value that globally separates a bear and a bull market.
Fun fact: If we were to buy Bitcoin every time it touched the fundamental value, the average buy price as of July 2021 would be $ 1,506.65, which is 87% less than the current fundamental value of Bitcoin .
Conclusions
1. The total amount of Bitcoins , as well as the speed of their production (mining) over time, are programmatically limited, which limits the volume of the maximum possible supply
2. Bitcoin is transported, which means that the volume of supply for the current minute will also depend on the actual volume of assets available for sale
3. The viability of the network is based on the amount of computer power supporting it (network hash rate)
4. When analyzing the Bitcoin / Dollar pair, in addition to the real value of Bitcoin , it is also necessary to take into account the real value of the US Dollar
5. Price ≠ fundamental value
6. Buying below the fundamental is always a smarter idea than buying above the fundamental.
7. Don't believe the headlines of financial news and the public words of financiers
8. Selling strawberries can make a fortune too
Trend From Volume And Price (TFVAP)Indicator that indicates buying and selling times based on price and volume and who is imposed of the two (VAP).
It uses the trends of the Dow theory (primary: 365 days/1 year, secondary: 90 days/3 months and tertiary: 21 days/3 weeks) and the identification of Elliot waves, both impulse and correction, based on the Fibonacci retracements (23.61% , 38.2%, etc.).
- Purple line is the evolution in percentage of the price in the primary trend
- Blue line is the evolution in percentage of the volume in the primary trend
- White line is the evolution in percentage of the (volume % - price %) in the primary trend, if white line > 0
- Green triangleup is time of start to buy
- Green square is time of stop to buy
- Red triangledown is time of sell
To understand it better:
If the purple line goes up it indicates that the price is rising, if it goes down, that the price is down.
If the blue line is greater than 0 it indicates that there are more purchases than sales, if the blue line is less than 0 it indicates that there are more sales than purchases.
If the white line is greater than 0 there is a high volume of purchases or low sales for the price that there is, it is likely that the price will rise.
If the white line is less than 0 there is a low volume of purchases or high sales for the price that there is, it is likely that the price will go down.
PD: Ignore the chart drawings, the indicator script is only represented at the bottom
B1rd's Puell MultipleThis metric looks at the supply side of Bitcoin's economy - bitcoin miners and their revenue.
It explores market cycles from a mining revenue perspective. Bitcoin miners are sometimes referred to as compulsory sellers due to their need to cover fixed costs of mining hardware in a market where price is extremely volatile. The revenue they generate can therefore influence price over time.
The Puell Multiple is calculated by dividing the daily issuance value of bitcoins (in USD) by the 365-day moving average of daily issuance value.
So far, buying below 0.5 and taking profit above 4.0 has been proven profitable over the years.
This version allows you to expiriment with different moving average types.
I might update this version in the future with more expirimental tools of measurements, I just need some idea's to work with. So feel free to comment on what you'd like to see added to this version.
Moonraker OSC 1.1 Moonraker OSC complements the standard moonraker indicator shown on the chart and linked below.
Uses standard divergences within the deviation from the mean to identify trend weakness in the market.
Moonraker 1.3Bespoke Decentrader Mean Reversion Strategy
Colour coded mean line using price and volume
Volatility Bands
Major support and resistance plotted lines
Suggested dynamic hard stop placement
Built for all markets
A realistic strategy for multi-asset portfolio management
Complementary components to assist other indicators/strategies
Key D1 Strategy:
Designed for the 1D+ chart
The overall assumption is that price gravitates towards the mean
The intention is to remain in the market directionally as long as possible
1) Once the asset closes the period above the mean line the asset is considered to be bullish
2) Trader will wait and look to buy close to the developing mean line
3) Trader once filled, remains long
4) If price closes below the mean line, trader will place asks/sell orders close to the developing mean line
5) Trader moves asks along developing mean line until the trade is exited
6) Trader waits in a neutral position until condition 1) is met
Other strategy consideration ;
7) Support and resistance plotted lines can also be used to overrule condition 6) i.e. if the asset falls to a key support area AND trader has already exited, they can look to re-enter and be long to the mean line at which point condition 5) is met
8) Volatility bands can be used as a warning around the deviation from the mean line and probability of reversal
9) Hard stops can be used -> there is a general trade-off between volatility and remaining in the trade – Dynamic hard stops can be used if the trader wishes to add a layer of additional risk management to mitigate unusual volatile events. Should a stop be triggered, waiting for either condition 1) 7) or 8) are met before entering.
Other consideration;
- Works well alongside the Predator indicator; adding additional confluence to the strategy or identifying entries if predator is already within a trend where the initial entry was missed.
Low Timeframe POCI have recently made a High Timeframe POC script (HFT POC) which is pretty popular. Thanks for this!
There are many requests to include lower timeframes in this script, that is why I created this script. I could have incorporated all the timeframe POC's into one indicator but I went this route to keep things more organized between all the different timeframes.
Currently included: Daily, 6H, 3H and 1H
/* DEFINITION */
Point Of Control (= POC) is a price level at which the heaviest volumes were traded.
/* HOW TO TRADE WITH THIS INDICATOR */
The basis for POC is determining bias on whichever timeframe you choose.
1. Identify a POC on the timeframe of your choosing.
/* If you choose the lowest timeframe (1H here) then always make sure to look at the higher timeframes to see how it is trading against a HTF POC.
2. When the price is moving away from the POC (either to the upside or downside) this can confirm or invalidate a trade.
3. You can now enter the trade on bias or wait for a retest of the same POC.
/* EXAMPLE TRADES /*
Here is a screenshot of some of the trades that are possible using these Low Timeframe POC's and some common sense.
s3.tradingview.com
Market Share AnalysisHOW THIS INDICATOR WORKS
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I've been working on this new indicator to compare, for example, BTCUSD with it's market share or market dominance.
Market Share is the Coin's market cap divided by Total Market Cap. For example, Bitcoin Market Share is currently sitting around 45.7 %
Meaning, Bitcoin is around 45% of the total market of cryptocurrencies.
This indicator has different configurations you should pay attention.
1- Output:
- Market Share Change: this is the percentage change for market share from bar to bar moving up and down from a central line.
- Market Share: this is the close price from the market share symbol selected above.
2- Highlight:
- Divergences: Divergences shows the moment when the price rises and the dominance decreases or vice-versa. Divergences has extra config parameters (explained below).
- Rising/Decreasing: This plots a background red color when the market share price is below its MA(20) line and green background when it's above this line.
3- Show Abnormal signs:
This will print a plus sign in the market share chart when the market dominance rises or decreases too fast (Try changing StDev from 2.0 to 3.0)
4- Divergences:
Divergences has extra config parameters. For example, we want the price to rise or decrease 1% to show a divergence with the market share. Otherwise, it's not as important for us. Also, we can accept to consider an abnormal volume in the divergence or not.
HOW CAN WE INTERPRET THIS INFORMATION
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I've noticed when bitcoin rises in market share, it's doing or it's preparing for a Big Move. Usuallyl altcoins are dumping and Bitcoin gains the main attention. Best place to be is BTC.
I've also noticed when USDT.D dominance rises, means a big dump is happening or it's close to happen. The capital flow from different coins to Tether.
I have also observed the Bitcoin dominance divergences show us the moments of panic sell in the market. During those moments of extremely selling pressure, the capital flows from Alts to BTC again gaining market share when the price is dropping hard.
MORE INFO
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This indicator allow us to change the symbol to any other like for example ETH.D. I encourage you to go to ETHUSD pair from your favorite exchange in 4H time-frame and change the symbol from this indicator to match ETH.D to have the Ethereum Market share to compare one next to each other.
You're going to find amazing divergences and rising/decreasing moments. Also, try looking at ETHBTC, and then check for ETH.D dominance. Amazing divergences will appear. I hope these are good signs for you too.
To reference any other symbol rather than BTC.D you can easily change the symbol to any other option like:
BTC.D => Ethereum Market Share
ETH.D => Ethereum Market Share
XRP.D => XRP Market Share
All these tickers are from CRYPTOCAP. So the correct ticker name would be for example: CRYPTOCAP:BTC.D to have the Bitcoin Market Dominance calculated by Trading View.
If you like the indicator, please like and comment below.
Good trades!
High Timeframe POCBecause the big Bitcoin crash I have been looking a lot at high timeframe metrics. I never spent much time learning POC so I decided to create a little script for determining these on higher timeframes.
Currently included: Monthly, 3 months and 6 months.
/* DEFINITION */
Point Of Control (= POC) is a price level at which the heaviest volumes were traded.
Value Area High/Low (=VAH/VAL) is a range of prices where the majority of trading volume took place. Naturally, Value Area High being the top price level and Value Area Low being the lowest. POC always is between the two.
/* HOW TO TRADE WITH THIS INDICATOR */
The basis for POC is determining bias on whichever timeframe you choose.
1. Identify a POC on the timeframe of your choosing.
/* If you choose a "low" timeframe (monthly here) then make sure to look at the higher timeframes to see how it is playing against a higher timeframe POC.
2. When the price is moving away from the POC (either to the upside or downside) this will confirm or invalidate the trade.
3. You can now enter the trade on bias or wait for a retest of the same POC.
/* EXAMPLE TRADES /*
Here is a screenshot of some of the trades that are possible solely using the POC and some common sense.
s3.tradingview.com
NSDT Bitcoin (BTC) ScalpingThis indicator is specifically designed for scalping Bitcoin (BTC). It looks for a particular price pattern/sequence and displays a label on the chart to show a potential entry, target, and stop based on that analysis. Basically enter long through the green zones and short through the red zones. These levels are not guaranteed to be hit. Trading is risking and you can lose money. Trade at your own discretion and risk. This indicator is only providing potential scalping zones based on recent price action.
Bitcoin Logarithmic Regression RainbowI know there are a lot of BTC rainbows out there, I just wanted to publish my version with my fittings to the BTC price.
The grey channel at the bottom encloses the March 2020 Corona dump.
For best experience USE WEEKLY TIMEFRAME .
Golden Mile indicatorThis indicator is based on several different collectively calculated indicators which are already used by many traders.
These include:
RSI
MFI
WaveTrend
Stochastics, and a few more bits i've thrown in.
This indicator can be used on any time frame, and is highly effective at helping decide whether the pressure lies in Buys or Sells.
free access..
Enjoy! :)
Professor Snipe: A superadaptive moving average. Prof. Snipe is a superadaptive, multi-purpose indicator I developed in order to judge market trend strength and show high probability entry points.
The indicator is focused around a zero lag moving average algorithm (SUPER-MA, ), that changes its parameters depending on the volatility (ATR) and trend strength (ADX).
If the price (black 3 period MA) is above the Super-MA, this indicates market momentum and strength. If price is below the Super-MA, price and momentum are showing weakness.
Micro-Signals are given based on smaller lag-free moving average crossovers (blue and red arrows), but entries will depend on the location of price, with respect to the super-MA.
Furthermore, to judge the current price position with respect to high timeframe averages, the algo will automatically show the location of the nearest moving averages for support and resistance.
/////////////////////////
Entry Conditions example.:
For Longs:
Wait until the 4 hour trend flips bullish, price above Super-MA. Once it does, it will often retest the Super-MA as support. When that happens, use the next entry signal to go long.
For further safety, check the safety net (dotted hull moving average) to see if price has broken above that too, for an optimal long.
-- use caution when entering longs if: price is floating around the super-ma (very weak trend) and if price is below super-ma.
For Shorts:
Wait until the 4 hour trend flips bearish, price below Super-MA. Once it does, use lower timeframes to find short entry points using the MA signals.
-- use caution when entering shorts if: price is floating around the super-ma (very weak trend) and if price is above super-ma.
DYOR and test it yourself to find what works for you.
BE AWARE!
Just following the entry and exit signals (arrows) will not give you perfect results.
Summary:
Overall, this is probably the best indicator I have ever created, and has a very high success rate when used properly.
Best,
MM
Mayfair Crypto Market 1.0In this indicator, we compare the market capitalisation of Bitcoin(in gold colour) with the market cap of all the other cryptocurrencies (in red), and the market cap of the whole cryptocoin market (the green histogram).
As you may be able to see, when Bitcoin (gold colour) crosses over the Others (red colour) in the indicator, it signifies a swing in popularity towards Bitcoin, and it appears to have predicted some of the recent large rallies (blue Vertical lines) and pull-backs (red vertical lines)
Like all indicators, it is not perfect, and you should never rely on one indicator in any situation.
Supply & Demand RTA-V1.0Supply & Demand Wyckoff RTA-V1.0 comes from RTA-Academy, author RTA-Ruomise, public indicators.
This indicator is the supporting indicator for the RTA course .
Indicator function
According to the principle of Wyckoff’s trading method, determine the effective supply and demand columns in the market and mark them on the chart.
This indicator is limited to the crypto market, and the underlying must have volume .
Recommended
Coinbase BTCUSD
Binanca BTCUSDT
BYBIT BTCUSD PREP
BITMEX XBTUSD
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Supply & Demand Wyckoff RTA-V1.0 来自RTA-Academy，作者RTA-Ruomise，公开指标。
Supply & Demand Wyckoff RTA-V1.0 中文名 威科夫供应与需求标志指标 RTA-V1.0。
该指标为RTA 课程【威科夫交易法】配套指标。
指标作用
根据威科夫交易法原理和作者交易经验，通过规则判断市场有效的供应柱与需求柱，并于图表中进行标注。辅助RTA学员快速分析供应与需求关系。
该指标仅限于数字货币市场使用，且标的要有有效的成交量。
推荐标的
Coinbase BTCUSD
Binanca BTCUSDT
BYBIT BTCUSD PREP
BITMEX XBTUSD
NEW Moving Average Deduction RTA-V1.0NEW Moving Average Deduction RTA-V1.0 来自RTA学院，原作者：LoneCapital, 改进者：Ruomise Lin，公开指标。
NEW Moving Average Deduction RTA-V1.0中文名 移动平均线+抵扣价指标
作用
移动平均指标是交易者常用指标，在本指标中添加抵扣价的显示，方便交易者直观查看当标的的价格低于抵扣价时候，SMA移动平均将向下拐头。该指标适用任何标的。
功能
自定义三条均线数值
自定义均线类型为SMAorEMA（默认）
是否显示抵扣价
其他
数字货币市场，根据作者多年交易经验，总结出MA均线14短期时间框架，28中期时间框架，，120长期时间框架胜率较高。因此该指标默认为三条均线长度分别为14，28，120.
有任何意见或者建议欢迎联系作者，联系方式请看签名。
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NEW Moving Average Deduction RTA-V1.0 from RTA-Academy, author: LoneCapital, improvers: Ruomise Lin, open index.
NEW Moving Average Deduction RTA-V1.0, Chinese name Moving Average + Deduction Price Index
Introduction
The moving average indicator is a commonly used indicator for traders. Adding the display of the deductible price to this indicator is convenient for traders to visually check that when the underlying price is lower than the deductible price, the SMA moving average will turn down.
Features
Customize the values of the three moving averages
The custom moving average type is SMA or EMA (default)
Whether to show the deduction price
Other
In the crypto market, based on the author's many years of trading experience, he concluded that the MA moving average is 14 short-term time frames, 28 medium-term time frames, and 120 long-term time frames have a higher winning rate. Therefore, the indicator defaults to the three moving average lengths of 14, 28, 120.
If you have any comments or suggestions, please contact the author, please see the signature for contact information.
Bitcoin Funds PremiumDisplay the % premium of 4 different Bitcoin Funds relative to the price of Bitcoin in your current chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to calculate the true underlying value of the fund.
The difference is then compared to the price of Bitcoin in the chart you have open.
Note that the metrics change and therefore the graph is not accurate for long past timeframes.
If TradingView would expand their script language in a way to ingest CSV data from the funds website then this could be improved.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
MTF SwingSwiss - Premium@panthair9, a SwingSwiss user, asked me to develop this script based on the two SwingSwiss crosses.
The indicator shows in real-time how the other timeframes are trading the asset.
It's pretty useful to know that the higher timeframes are also trading your way as it limits your risk (because you are trading the right trend)
You can choose up to five timeframes and style the lines and colored blocks 😃
There is one line per timeframe and whenever the green cross appears on the timeframe, it will get updated into the line as well !! I love the thing, thanks again @panthair9 ❤️
PS:
Dear SwingSwiss community, I am really trying to build the best indicator out there!
If you feel like I could improve the indicator in any way, just ask!
I'll do my best to make your dream indicator come true 🙌
Have A Great Day
Dan
MicroStrategy Saylor BTCUSD LevelsDisplays the price levels of MicroStrategy's Bitcoin acquisitions according to their 8-K filings, total accumulated BTC, average USD price, and current gain.
BTC Multi Exchange Perpetual PremiumThis script tracks the premium/discount of Bitcoin perpetual contracts at various exchanges.
The premium/discount is calculated against an index price. The index price is calculated from spot exchange prices and are weighted as follows:
Bitstamp:28,81%
Bittrex:5,5%
Coinbase: 38,07%
Gemini: 7,34%
Kraken: 20,28
The difference between this script and other available scripts, is that exciting script seems to only focus on one exchange. This script is also open source.
Bitcoin Funds OverlayOverlay the Net Asset Value per Unit (NAVPU) of 4 different Bitcoin Funds on your Bitcoin chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to display the true underlying value of the fund.
Note that the metrics can change and therefore the graph is not accurate for long past timeframes.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
