BTC CorrelationsIn this script, we define the symbols we want to compare Bitcoin to, and the timeframe we want to use. We then calculate the correlation coefficient between Bitcoin and each symbol over a 20-bar period. Finally, we plot the correlation signals for each symbol and set threshold lines at 0, 1, and -1 to indicate positive, neutral, and negative correlations.
Cerca negli script per "bitcoin"
Rsi strategy for BTC with (Rsi SPX)
I hope this strategy is just an idea and a starting point, I use the correlation of the Sp500 with the Btc, this does not mean that this correlation will exist forever!. I love Trading view and I'm learning to program, I find correlations very interesting and here is a simple strategy.
This is a trading strategy script written in Pine Script language for use in TradingView. Here is a brief overview of the strategy:
The script uses the RSI (Relative Strength Index) technical indicator with a period of 14 on two securities: the S&P 500 (SPX) and the symbol corresponding to the current chart (presumably Bitcoin, based on the variable name "Btc_1h_fixed"). The RSI is plotted on the chart for both securities.
The script then sets up two trading conditions using the RSI values:
A long entry condition: when the RSI for the current symbol crosses above the RSI for the S&P 500, a long trade is opened using the "strategy.entry" function.
A short entry condition: when the RSI for the current symbol crosses below the RSI for the S&P 500, a short trade is opened using the "strategy.entry" function.
The script also includes a take profit input parameter that allows the user to set a percentage profit target for closing the trade. The take profit is set using the "strategy.exit" function.
Overall, the strategy aims to take advantage of divergences in RSI values between the current symbol and the S&P 500 by opening long or short trades accordingly. The take profit parameter allows the user to set a specific profit target for each trade. However, the script does not include any stop loss or risk management features, which should be considered when implementing the strategy in a real trading scenario.
Distance from the High/Low priceThis indicator shows how far the price is from the Top and Bottom over a set period of time.
The basic purpose of this indicator is to quickly compare how many symbols have risen over a certain period of time.
For example,
For example, let's say I want to see what the maximum increase is from the December, and how much it's currently down from there.
Then, let's set the "Length" to approximately 1500 and check it from December 18th.
So now you can see that bitcoin is up to about 44%, and it's down 6.9% from its peak.
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For the second example, let's say I want to see what the maximum increase in ALPHA is and how far it is currently from that maximum.
So, as you can see in the chart above, the maximum increase over the period was about 120%, and now it's down by 22.8%.
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In addition, if you check 'Retracement' in the indicator setting, you can see the ratio of the currently located returns based on Top and Bottom.
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이 지표는, 특정 기간동안 여러개의 symbol들이 얼마만큼의 상승을 했는지 빠르게 비교하기 위해 만들었습니다.
위에 첨부한 사진을 기준으로 말씀드리겠습니다.
2022년 12월 말부터 올라온 상승의 최대폭이 얼마인지, 그리고 그 최대 상승으로부터 현재 얼마나 떨어졌는지를 확인하고 싶은 상황이라고 하겠습니다.
그렇다면 'Length'를 대략 1500으로 설정하여 12월 18일부터 확인해보겠습니다.
그러면 비트코인은 최대 약 44%만큼 상승하였고, 현재 최고점으로부터 6.9% 떨어진 상황이라는 것을 확인할 수 있습니다.
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두 번째 예시로, ALPHA의 최대 상승폭이 얼마인지, 그리고 그 최댓값으로부터 현재 얼마만큼 떨어져 있는 상황인지를 확인하고 싶다고 가정해보겠습니다.
그렇다면 위의 차트에서 보이는 바와 같이, 해당 기간동안 최대 상승폭이 약 120%였고, 현재 그 최댓값으로부터 22.8%정도 하락한 상황이라는 것을 확인할 수 있습니다.
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번외로, 지표 설정에서 'Retracement'를 체크하시면, Top과 Bottom을 기준으로 현재 위치한 되돌림의 비율을 확인할 수 있습니다.
Time of Day - Volatility Report█ OVERVIEW
The indicator analyses the volatility and reports statistics by the time of day.
█ CONCEPTS
Around the world and at various times, different market participants get involved in the markets. How does this affect the market?
Knowing this gets you better prepared and improves your trading. Here are some ideas to explore:
When is the market busy and quiet?
What time is it the most volatile?
Which pairs in your watchlist are moving while you are actively trading?
Should you adjust your trading time? Should you change your trading pairs?
When does your strategy perform the best?
What entry times do your winners have in common? What about the exit times of your losers?
Is it worth keeping your trade open overnight?
Bitcoin (UTC+0)
Gold (UTC+0)
Tesla, Inc. (UTC+0)
█ FEATURES
Selectable time zones
Display the statistics in your geographical time zone (or other market participants), the exchange time zone, or UTC+0.
Configurable outputs
Output the report statistics as mean or median.
█ HOW TO USE
Plot the indicator and visit the 1H timeframe.
█ NOTES
Gaps
The indicator includes the volatility from gaps.
Calculation
The statistics are not reported from absolute prices (does not favor trending markets) nor percentage prices (does not depict the different periods of volatility that markets can go through). Instead, the script uses the prices relative to the average range of previous days (daily ATR).
Extended trading session
The script analyses extended hours when activated on the chart.
Daylight Saving Time (DST)
The exchange time or geographical time zone selected may observe Daylight Saving Time. For example, NASDAQ:TSLA always opens at 9:30 AM New York time but may see different opening times in another part of the globe (New York time corresponds to UTC-4 and UTC-5 during the year).
Volume Based Support & ResistanceThis script uses the Volume of each candle to find support and resistances on the whole visible chart. There is a single easy to use setting that is the Distance between major S/R lines which is 10% for the default and better for Daily timeframe. If you set a lower number, for example 5% then there will be more lines on the chart which is better for lower time frames and higher number like 20% maybe better for weekly timeframes.
It is developed based on using for Bitcoin daily timeframe, but it can be used for any symbol on any timeframe with the proper settings.
The limitation is the number of visible candles which the data and S/R lines are calculated based on them (if the previous data was within the same price range and if not, there is no issue).
Also, this code is a good learning example of using arrays and lines together in the trading view's pine script.
Universal Moving Average Convergence DivergenceI changed MACD formula to divergence of (MA26/MA12 - 1).
And its make it more useful.
Cuz:
1) comparability with all other coins with different prices.
2) fix small numbers in low price coines like shiba
3) making a good indicator like RSI to use it for optimization and ML/AI projects as a variable
Most important thing about this indicator is that its Universal
Now you can compare the UMACD of Shiba with Bitcoin without any problem in matamatics space.No need to use virtuality and its important in Optimization problems that we rediuse the problem from a picture to a number(A plot to a list of numbers)
If we don't care about exagrated pumps and dumps, we can say to it Normalized-MACD too. Cuz in normal situations its MAX ≈ 0.1 and MIN ≈ -0.1
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.
[blackcat] L1 Volume DynamicsLevel: 1
Background
Use the difference of Jurik MA and SMA equivalent (ALMA) to observe something new for volume.
Function
Trading volume is an important technical indicator that is not easy to see the law. I try to match the trading volume with the deduction theory, and the deduction double-average theory is matched with the measurement capacity. I will compare the two moving averages of ultra-short-term, short-term, medium-term and long-term. The faster moving average I choose is Jurik MA (JMA), because it is faster than EMA under the same parameters, and the smoothing effect is very good. In addition to the slow moving average, I use ALMA to benchmark SMA. Because the smoothing properties of ALMA are better. A law is used here, that is, the equivalent relationship between ALMA and SMA is approximately a Fibonacci sequence. I can dynamically apply this amount to the Bitcoin market and see some interesting phenomena.
What is double average volume? According to normal circumstances, JMA will follow the transaction volume faster than SMA. The transaction volume is normally rising above the double average volume, and the transaction volume is normally falling below the double average volume. When the SMA follows the trading volume faster than the JMA, it is abnormal (usually occurs in the divergence segment), that is, the JMA is above the SMA, but the trading volume is below the SMA (the bottom divergence volume pile), the top divergence volume pile is the opposite process. The trading volume is between the double average volume, which is the finishing volume energy. It can be used in the breakthrough of the box and the bottom of the pot. By comparing the strength of the current trading volume with the strength of the trading volume on the upper edge of the box or bottom structure, it can improve the success rate of predicting the breakthrough, especially for the observation effect of large funds latent.
Remarks
Feedbacks are appreciated.
Stan Weinstein Trend IndicatorThis indicator is a trend indicator for trading charts based on the method of Stan Weinstein. It uses various technical methods to identify four trend phases on an asset: consolidation, advancement, plateauing, and decline. Users can customize the indicator by modifying parameters such as the periods for various calculations, such as the exponential moving average (EMA), the relative strength index (RSI), and support and resistance levels. The results of these calculations are then used to determine if an asset is in a phase of consolidation, advancement, plateauing, or decline.
The results are displayed as markers on the chart, with the following colors:
White: Consolidation
Green: Advancement
Blue: Plateauing
Red: Decline
According to the method of Stan Weinstein, it is recommended to buy an asset during an advancement phase and sell it during a plateauing phase. Similarly, it is recommended to sell an asset during a decline phase and cut this sale when the consolidation phase starts. It is important to note that this indicator is for informational purposes only and should not be used as investment advice. It is important to conduct fundamental and technical analysis before making an investment decision. It is also recommended to combine this analysis with other methods for optimal results and to consider the risks associated with any investment.
All default parameters of this indicator have been carefully chosen to provide the best possible results, however, it is possible to modify them according to personal preferences. It is important to note that modifying certain parameters may make the indicator less relevant and it is therefore recommended not to deviate too much from default values, unless you have a good understanding of the Stan Weinstein method and the technical indicators used.
It is important to note that this indicator is optimized for 1-week charts. It can be used to look at charts at other timeframes but calculations will always be based on weekly data.
Also, it is noteworthy that this indicator is optimized for cryptocurrencies, except Bitcoin, as it is used to calculate the relative strength of a token. However, you can choose the asset or index you want in the menu to calculate the relative strength. Furthermore, all the default settings are carefully chosen, but users are free to modify them, but doing so may result in less relevant results.
Stablecoin supplies [USD bn]This script shows crypto market inflows/outflows by showing the USD stablecoin supplies, using data from glassnode.com :
GLASSNODE:BUSD_SUPPLY
GLASSNODE:USDT_SUPPLY
GLASSNODE:USDC_SUPPLY
Using a simple 20 EMA, the line will change color showing stablecoin inflow or outflow. Traders can consider stable coin inflows (green) as bullish for Bitcoin price, while stable coin outflows (red) should be considered bearish for price.
Stablecoins DominanceStablecoins Dominance
The purpose of the script is to show Stablecoin's strength in the crypto markets.
5 Largest Stablecoins divided by Total Market Cap
Altcoin Dominance (without ETH) Excluding Stablecoins UnsymetricAltcoin Dominance (without ETH) Excluding Stablecoins Unsymetric
The purpose of the script is to show Altcoin's strength without Ethereum once we exclude stablecoins.
So we look into all altcoins besides eth and besides stablecoins divided by a value of eth+btc
Altcoin Dominance Excluding EthereumAltcoin Dominance Excluding Ethereum
The purpose of the script is to show Altcoin's strength without Ethereum.
Pretty much shows Altcoin's Dominance in comparison to Market Cap once we exclude Ethereum.
ETH Dominance Excluding StablecoinsETH Dominance Excluding Stablecoins.
The purpose of the script is to show Ethereum's strength relative to other cryptocurrencies.
Pretty much shows ETH Dominance in comparison to Market Cap once we exclude the 5 largest stablecoins.
RSI and MA with Trailing Stop Loss and Take Profit (by Coinrule)The relative strength index is a momentum indicator used in technical analysis. It measures the speed and magnitude of a coin's recent price changes to evaluate overvalued or undervalued conditions in the price of that coin. The RSI is displayed as an oscillator (a line graph essentially) on a scale of zero to 100. When the RSI reaches oversold levels, it can provide a signal to go long. When the RSI reaches overbought levels, it can mark a good exit point or alternatively, an entry for a short position. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
A moving average (MA) calculates the average of a selected range of prices, usually closing prices, by the number of periods in that range. Essentially it is used to help smooth out price data by creating a constantly updated average price.
The Strategy enters and closes trades when the following conditions are met:
Entry Conditions:
RSI is greater than 50
MA9 is greater than MA50
RSI increases by 5
Exit Conditions:
Price increases by 1% trailing
Price decreases by 2% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market. The strategy provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA).
There is a FAST and SLOW version of each VWMA and SMA.
The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average.
Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading).
By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages.
The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it.
This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction.
One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong.
Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite.
Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals).
These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart.
For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend.
Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA.
This concept was originally published here on TradingView by ProfitProgrammers.
Here is a link to his original indicator script:
I have added onto this concept by:
converting the original indicator into a strategy tester for backtesting
adding the ability to conveniently test long or short strategies, or both
adding the ability to calculate dynamic position sizes
adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range
adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI
conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes
easily hook this strategy up to 3Commas for automation via their DCA bot feature
Full credit to ProfitProgrammers for the original concept and idea.
Any feedback or suggestions are greatly appreciated.