MAD Volatility PercentileMean Absolute Deviation (MAD) is a statistical measure that tells you how spread out or variable a set of data points is. It calculates the average distance of each data point from the mean (average) of the data set. MAD helps you understand how much individual values differ from the average value. It's a way to measure the overall "average distance" of the data points from the center point.
Indicator Overview:
This indicator measures market volatility using Mean Absolute Deviation of returns. The MAD Volatility Percentile Indicator calculates and represents market volatility as a percentile. The lower the percentile, the lower the volatility, and the higher the percentile value is, the higher the volatility is.
Understanding Volatility:
Lower percentiles signify a lower volatility market environment, reflecting reduced volatility, while higher percentiles indicate increased volatility and significant price movements. The indicator also comes with an SMA to see when the burst of higher volatility occur. You can also change the sample length on the indicators option. You can consider a big move occurring when the percentile value is above the SMA.
Application
Generally when the Mean Absolute Deviation Volatility Percentile is low, then this means that the volatility is low and a expansion could happen soon, which means a big move will occur soon. This indicator can also protect you from entering a trade that will not have any significant moves for a while.
This indicator is not a directional indicator but it can be applied with directional indicators, and is extremely versatile. For example you can use it with momentum indicators and if there is low volatility and bullish momentum then this can be a signal to potentially place a long position.
Features:
The percentile length sets the lookback of the percentile which calculates the percentile of the Mean Absolute Deviation of returns.
Sample length: Gets the volatility sample (returns)
SMA Length: The SMA of the percentile. Used to find when a move can be considered as an "expansion"
Alerts: You can also enable color alerts that flash when the volatility is at extremely low levels which can signify that a big move could happen soon.
This is an example of the alerts that the indicator comes with.
Bitcoin (Mata Wang Kripto)
Bullish Divergence Short-term Long Trade FinderThis script is a Bullish divergence trade finder built to find small periods where Bitcoin will likely rise from. It looks for bullish divergence followed by a higher low as long as the hour RSI value is below the 40 mark, if then it will enter an long. It marks out Buy signals on the RSI if the value dips below 'RSI Bull Condition Minimum' (Default 40) on the current time frame in view. It also marks out Sell signals found when the RSI is above the 'RSI Bearish Condition Minimum' (Default 50). The sell signals are bearish divergence that has occurred recently on the RSI. When a long is in play it will sell if it finds bearish divergence or the time frame in view reaches RSI value higher than the 'RSI Sell Value'(Default 75). You can set your stop loss value with the 'Stop loss Percentage' (default 5).
Available inputs:
RSI Period: relative strength measurement length(Typically 14)
RSI Oversold Level: the bottom bar of the RSI (Typically 30)
RSI Overbought Level: the top bar of the RSI (Typically 70)
RSI Bearish Condition Minimum: The minimum value the script will use to look for a pivot high that starts the Bearish condition to Sell (Default 50)
RSI Bearish Condition Sell Min: the minimum value the script will accept a bearish condition (Default 60)
RSI Bull Condition Minimum: the minimum value it will consider a pivot low value in the RSI to find a divergence buy (Default 40)
Look Back this many candles: the amount of candles thee script will look back to find a low value in the RSI (Default 25)
RSI Sell Value: The RSI value of the exit condition for a long when value is reached (Default 75)
Stop loss Percentage: Percentage value for amount to lose (Default 5)
The formula to enter a long is stated below:
If price finds a lower low and there is a higher low found following a lower low and price has just made another dip and price closes lower than the last divergence and Relative strength index hour value is less than 40 enter a long.
The formula to exit a long is stated below:
If the value drops below the stop loss percentage OR (the RSI value is greater than the value of the parameter 'RSI Sell Value' or bearish divergence is found greater than the parameter 'RSI Bearish Condition Minimum' )
This script was built from much strategy testing on BTC but works with alts (occasionally) also. It is most successful to my knowledge using the 15 min and 7 min time frames with default values. Hope it helps! Follow for further possible updates to this script or other entry or exit strategies.
snapshot:
I only have a Pro trading view account so I cannot share a larger data set about this script because the buy signals happen pretty rarely. The most amount that I could find within a view for me was 40 trades within a viewable time. The suggested/default parameters that I have do not occur very often so it limits the data set. Adjustments can be made to the parameters so that trades can be entered more often. The scripts success is dependent on the values of the parameters set by the user. This script was written to be used for BTC/USD or BTC/USDT trading. I am unable to share a larger dataset without putting out results that are intended to fail or having a premium account so reaching the 100 trade minimum is not possible with my account.
Extreme Reversal SignalThe Extreme Reversal Signal is designed to signal potential pivot points when the price of an asset becomes extremely overbought or oversold. Extreme conditions typically signal a brief or extensive price reversal, offering valuable entry or exit points. It's important to note that this indicator may produce multiple signals, making it essential to corroborate these signals with other forms of analysis to determine their validity. While the default settings provide valuable insights, it might be beneficial to experiment with different configurations to ensure the indicator's efficacy.
Two primary conditions define extremely overbought and oversold states. The first condition is that the price must deviate by two standard deviations from the 20-day Simple Moving Average (SMA). The second condition is that the 3-day SMA of the 14-day Stochastic Oscillator (STO) derived from the 14-day Relative Strength Index (RSI) is above or below the upper or lower limit.
Oversold states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI falls below the lower limit, suggesting a buy signal. These are visually represented by green triangles below the price bars. Overbought states arise when the first condition is met and the 3-day SMA of the 14-day Stochastic RSI rises above the upper limit, suggesting a sell signal. These are visually represented by red triangles above the price bars. It's also possible to set up automated alerts to get notifications when either of these two conditions is met to avoid missing out.
While this indicator has traditionally identified overbought and oversold conditions in various different assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, trend indicators can greatly improve the decision-making process when planning for entries and exit points.
Stablecoin Market Cap RiskThe Stablecoins Market Cap Risk indicator serves as a valuable risk oscillator for Bitcoin on a macro scale . This metric is derived by aggregating the market capitalization of CRYPTOCAP:USDT (Tether) and CRYPTOCAP:USDC (USD Coin), subsequently dividing this combined value by CRYPTOCAP:TOTAL (total market capitalization). The resulting figure is further normalized through linear regression.
The regression in question:
drive.google.com
However, it is essential to acknowledge that this model's reliability may diminish over time, as it is based solely on data from the most recent 4.5 years of cryptocurrency market trends. Consequently, adaptations and enhancements to the model are anticipated in the future to ensure its continued relevance and accuracy.
BTFD strategy [3min]Hello
I would like to introduce a very simple strategy to buy lows and sell with minimal profit
This strategy works very well in the markets when there is no clear trend and in other words, the trend going sideways
this strategy works very well for stable financial markets like spx500, nasdaq100 and dow jones 30
two indicators were used to determine the best time to enter the market:
volume + rsi values
volume is usually the number of stocks or contracts traded over a certain period of time. Thus, it is an important indicator of market activity and liquidity. Each transaction constitutes an individual exchange between the buyer and the seller and constitutes the trading volume of a given instrument or asset.
The RSI measures the strength of uptrends versus downtrends. The signal is the entry or exit of the indicator value of the oversold or overbought level of the market. It is assumed that a value below or equal 30 indicates an oversold level of the market, and an RSI value above or equal 70 indicates an overbought level.
the strategy uses a maximum of 5 market entries after each candle that meets the condition
uses 5 target point levels to close the position:
tp1= 0.4%
tp2= 0.6%
tp3= 0.8%
tp4= 1.0%
tp5= 1.2%
after reaching a given profit value, a piece of the position is cut off gradually, where tp5 closes 100% of the remaining position
each time you enter a position, a stop loss of 5.0% is set, which is quite a high value, however, when buying each, sometimes very active downward price movement, you need a lot of space for market decisions in which direction it wants to go
to determine the level of stop loss and target point I used a piece of code by RafaelZioni , here is the script from which a piece of code was taken
this strategy is used for automation, however, I would recommend brokers that have the lowest commission values when opening and closing positions, because the strategy generates very high commission costs
Enjoy and trade safe ;)
twisted SMA strategy [4h] Hello
I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 )
this is a classic combination showing the most probable trend directions
Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon)
ma 100 was used to determine the main trend, which is one of the most popular 4-hour candles
We define main trend while price crosses SMA100 ( for bullish trend I use green candle color )
The long position strategy was created in combination of 3 moving averages with Kaufman's adaptive moving average by alexgrover
The strategy is very accurate and is easy to use indicators
the strategy uses only Buy (Long) signals in a combination of crossovers of the SMA 4, SMA 9, SMA 18 and the Kaufman Adaptive Moving Average.
As a signal to close a long position, only the opposite signal of the intersection of 3 different moving averages is used
the current strategy is recommended for higher time zones (4h +) due to the strength of the closing candles, which translates into signal strength
works fascinatingly well for long-term bullish market assets (for example 4h Apple, Tesla charts)
Enjoy and trade safe ;)
TTP NVT StudioNVT Studio is an indicator that aims to find areas of reversal of the Bitcoin price based on the extreme areas of Network Value Transaction.
Instructions:
- We recommend using it on INDEX:BTCUSD
- Use the daily or weekly timeframe
The indicator works as an oscillator and offers to visualisation modes.
1) Showing the short term oscillations of NVT showing signals in potential areas of reversal.
2) The actual value of NVT displayed. When in green is an area of value and in red when its overextended.
This indicator can be used based on the signals or based on breakouts of trend lines drawn in the oscillator mode.
Red/green dots: signal type 1 - extremes with confirmation, these might trigger late
Yellow/Orange: signal type 2 - extremes without confirmation, might trigger too soon
TTP Breaking PointThis signal uses information from BITFINEX:BTCUSDLONGS and BITFINEX:BTCUSDSHORTS to forecast tops and bottoms.
The idea behind is very simple.
We calculate the RSI of the ratio of longs vs shorts and find areas where both the SMA of this RSI and the RSI itself are overextended.
You might notice that the win rate is not high but most of the wins provide a decent move that, if combined with proper risk management, can be used to build profitable strategies.
The signal offers a backtesting stream: 1 for buy and 2 for sell.
Shortly I'll be adding new features including: alerts, support for other symbols, filters, etc.
Fierytrading: Volatility DepthDear Tradingview community,
I'd like to share one of my staple indicators with you. The volatility depth indicator calculates the volatility over a 7-day period and plots it on your chart.
This indicator only works for the DAILY chart on BTC/USD.
Colors
I've color coded the indicator as follows:
- Red: Extreme Volatility
- Orange: High Volatility
- Yellow: Normal Volatility
- Green: Low Volatility
Red: extreme changes in price. Often during local tops and bottoms.
Orange: higher than average moves in price. Often before or after a "red" period. Often seen in the middle of bear or bull markets.
Yellow: normal price action. Often seen during early stage bull-markets and late stage bear-markets.
Green: very low price movement. Often during times of indecision. Once this indicator becomes green, you can expect a big move in either direction. Low volatility is always followed by high volatility.
In a long-term uptrend, a green period often signals a bullish break out. In a long-term downtrend it often signals a bearish break out.
How to use
Save the indicator and apply it to your chart. You can change the length in the settings, but it's optimized for 7 days, so no need to change it.
I've build in alerts for all 4 different volatility periods. In most cases, the low volatility alert is enough.
Good luck!
Buy/Sell singal with RSI, MA, RSI DIV1. Overview
I'll explain a strategy that uses the simple but powerful technical analysis techniques RSI, MA, VOLUME, and RSI Divergence to identify Buy/Sell signals. This strategy utilizes Pine Script of TradingView.
Our strategy is based on four fundamental components.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- Volume
- RSI Divergence
By using these four techniques together, we can find potential buy/sell signals.
2. Code Interpretation
To understand the TradingView code we used, let's examine each section one by one.
- RSI Calculation: RSI is a technical indicator that measures the relative strength of a price and is often used to identify overbought or oversold conditions. In our code, we calculate the RSI over a given period.
- Moving Averages: This code calculates short-term and long-term moving averages. Moving averages represent the average price over a specific period and are used to identify long-term price trends. Their intersections are considered potential buy/sell signals.
- RSI Divergence: RSI divergence represents a mismatch between the price trend and the RSI trend. It occurs when the price makes a new high or low, but the RSI does not. This indicates a weakening of the price trend and is considered a powerful signal of trend change.
- Volume Calculation: When the volume of transactions occurring during a specific period is x times more than the average volume, it is considered a signal of trend change.
- Buy/Sell Signals: Each technical indicator generates buy or sell signals. These signals are marked as labels on the chart. In our strategy, buy/sell signals are generated when the RSI exits overbought or oversold zones, when the moving averages cross, and when RSI divergence occurs.
3. Signal Detection
3.1 Buy/Sell Signals Using RSI
The RSI indicator has a value between 0 and 100, with values over 70 generally considered the overbought zone and those under 30 as the oversold zone.
A buy signal is generated when the RSI rises from the oversold zone.
Conversely, a sell signal is generated when the RSI falls from the overbought zone.
3.2 Detecting Buy/Sell Signals Through Moving Average Crosses
Moving averages help identify price trends.
A buy signal is generated when the short-term moving average crosses the long-term moving average upward.
Conversely, a sell signal is generated when the short-term moving average crosses the long-term moving average downward.
The color of each bar can be changed according to each signal.
3.3 Detecting Signals When Volume is X Times Higher Than Average
When the volume is x times higher than average, a marker is placed above each bar.
A green marker is displayed when the buy volume is high.
A red marker is displayed when the sell volume is high.
4. Conclusion
This technical analysis strategy is very simple but effective. Using RSI, moving averages, volume, and RSI divergence, you can find effective buy/sell signals.
By leveraging Pine Script in TradingView, you can easily apply this strategy and find signals in real-time.
Always remember that risk management is important in trading. This strategy may not be effective in all market conditions, so always use appropriate risk management strategies alongside it.
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1. 개요
간단하지만 강력한 기술적 분석 전략인 RSI, MA, VOLUME, RSI Divergence를 사용한 Buy/Sell 신호 표시 전략에 대해 설명드리겠습니다.
이 전략은 트레이딩뷰의 Pine Script를 활용합니다.
우리의 전략은 다음 네 가지 기본 구성 요소에 기반합니다.
- RSI (Relative Strength Index)
- MA (Moving Averages)
- 거래량
- RSI Divergence
이 네 가지 기법을 함께 사용하여 잠재적인 매수/매도 신호를 찾아냅니다.
2. 코드 해석
우리가 사용한 트레이딩뷰 코드를 이해하기 위해 각 섹션을 하나씩 살펴보겠습니다.
RSI 계산: RSI는 가격의 상대적 강도를 측정하는 기술적 지표로, 과매수 또는 과매도 조건을 식별하는 데 자주 사용됩니다. 우리의 코드에서는 주어진 기간 동안의 RSI를 계산합니다.
이동평균: 이 코드에서는 단기 이동평균과 장기 이동평균을 계산합니다. 이동평균은 특정 기간 동안의 가격 평균을 나타내며, 가격의 장기적인 트렌드를 식별하는 데 사용됩니다. 이들의 교차점은 잠재적인 매수/매도 신호로 간주됩니다.
RSI Divergence: RSI 다이버전스는 가격 추세와 RSI 추세 사이의 불일치를 나타냅니다. 가격이 새로운 고점 또는 저점을 만들면서 RSI가 그렇지 않을 때 발생합니다. 이것은 가격 트렌드의 약화를 나타내며 강력한 트렌드 변화 신호로 간주됩니다.
VOLUME 계산 : 특정 구간동안의 평균 거래량보다 x배 이상 거래량이 많이 발생하였을때 트렌드 변화 신호로 간주됩니다.
매수/매도 신호: 각 기술적 지표는 매수 또는 매도 신호를 생성합니다. 이러한 신호는 차트에 라벨로 표시됩니다. 우리의 전략에서는 RSI가 과매도 또는 과매수 영역을 벗어날 때, 이동평균이 교차할 때, 그리고 RSI 다이버전스가 발생할 때 매수/매도 신호를 생성합니다.
3. 신호 감지
3.1 RSI를 활용한 매수/매도 신호
RSI 지표는 0에서 100 사이의 값을 가지며, 일반적으로 70 이상은 과매수 영역, 30 이하는 과매도 영역으로 간주됩니다.
과매도 영역에서 RSI가 상승하면 매수 신호가 생성됩니다.
반대로, 과매수 영역에서 RSI가 하락하면 매도 신호가 생성됩니다.
3.2 이동평균 교차로 매수/매도 신호 감지
이동평균은 가격의 트렌드를 식별하는 데 도움이 됩니다.
단기 이동평균이 장기 이동평균을 상승으로 교차하면 매수 신호가 생성됩니다.
반대로, 단기 이동평균이 장기 이동평균을 하락으로 교차하면 매도 신호가 생성됩니다.
각 신호에 따라 해당 봉의 색깔도 변경할 수 있습니다.
3.3 평균 거래량보다 x배 이상 거래량이 발생했을 때 신호 감지
평균 거래량보다 x배 이상 거래량이 발생했을 때 각 봉 위에 표시가 됩니다.
매수 거래량이 많을 경우 초록색으로 표시가 됩니다.
매도 거래량이 많을 경우 빨간색으로 표시가 됩니다.
* 모든 기준이 되는 수치와 색상은 설정에서 개인의 취향에 맞게 설정 가능합니다.
4. 결론
이 기술적 분석 전략은 매우 간단하지만 효과적입니다. RSI, 이동평균, 거래량, RSI 다이버전스를 사용하여 효과적인 매수/매도 신호를 찾을 수 있습니다.
트레이딩뷰의 Pine Script를 활용하여 이 전략을 쉽게 적용하고, 실시간으로 신호를 찾아낼 수 있습니다.
항상 거래에 있어서는 리스크 관리가 중요하다는 점을 명심하십시오. 이 전략이 모든 시장 상황에 효과적이지는 않을 수 있으므로, 항상 적절한 리스크 관리 전략을 함께 사용해야 합니다.
Correlation Coefficient - DXY & XAUPublishing my first indicator on TradingView. Essentially a modification of the Correlation Coefficient indicator, that displays a 2 ticker symbols' correlation coefficient vs, the chart presently loaded.. You can modify the symbols, but the default uses DXY and XAU, which have been displaying strong negative correlation.
As with the built-in CC (Correlation Coefficient) indicator, readings are taken the same way:
Positive Correlation = anything above 0 | stronger as it moves up towards 1 | weaker as it moves back down towards 0
Negative Correlation = anything below 0 | stronger moving down towards -1 | weaker moving back up towards 0
This is primarily created to work with the Bitcoin weekly chart, for comparing DXY and Gold (XAU) price correlations (in advance, when possible). If you change the chart timeframe to something other than weekly, consider playing with the Length input, which is set to 35 by default where I think it best represents correlations with Bitcoin's weekly timeframe for DXY and Gold.
The intention is that you might be able to determine future direction of Bitcoin based on positive or negative correlations of Gold and/or the US Dollar Index. DXY has been making peaks and valleys prior to Bitcoin since after March 2020 black swan event, where it peaked just after instead. In the future, it may flip over again and Bitcoin may hit major highs or lows prior to DXY, again. So, keep an eye on the charts for all 3, as well as the indicator correlations.
Currently, we've moved back into negative correlation between Bitcoin and DXY, and positive correlation with Bitcoin and Gold:
Negative Correlation b/w Bitcoin and DXY - if DXY moves up, Bitcoin likely moves down, or if DXY moves down, Bitcoin likely moves up (or if Bitcoin were to move first before DXY, as it did on March 2020, instead)
Positive Correlation b/w Bitcoin and Gold - Bitcoin and Gold will likely move up or down with each other.
DXY is represented by the green histogram and label, Gold is represented by the yellow histogram and label. Again, you can modify the tickers you want to check against, and you can modify the colors for their histograms / labels.
The inspiration from came from noticing areas of same date or delayed negative correlation between Bitcoin and DXY, here is one of my most recent posts about that:
Please let me know if you have any questions, or would like to see updates to the indicator to make it easier to use or add more useful features to it.
I hope this becomes useful to you in some way. Thank you for your support!
Cheers,
dudebruhwhoa :)
Crypto Trend IndicatorThe Crypto Trend Indicator is a trend-following indicator specifically designed to identify bullish and bearish trends in the price of Bitcoin, and other cryptocurrencies. This indicator doesn't provide explicit instructions on when to buy or sell, but rather offers an understanding of whether the trend is bullish or bearish. It's important to note that this indicator is only useful for trend trading.
The band is a visual representation of the 30-day and 60-day Exponential Moving Average (EMA). When the 30-day EMA is above the 60-day EMA, the trend is bullish and the band is green. When the 30-day EMA is below the 60-day EMA, the trend is bearish and the band is red. When the 30-day EMA starts to converge with the 60-day EMA, the trend is neutral and the band is grey.
The line is a visual representation of the 20-week Simple Moving Average (SMA) in the daily timeframe. "Bull" and "Bear" signals are generated when the 20-day EMA is either above or below the 20-week SMA, in conjunction with a bullish or bearish trend. When the band is green and the 20-day EMA is above the 20-week SMA, a “Bull” signal emerges. When the band is red and the 20-day EMA is below the 20-week SMA, a “Bear” signal emerges. The 20-week SMA can potentially also function as a leading indicator, as substantial price deviations from the SMA typically indicate an overextended market.
While this indicator has traditionally identified bullish and bearish trends in various cryptocurrency assets, past performance does not guarantee future results. Therefore, it is advisable to supplement this indicator with other technical tools. For instance, range-bound indicators can greatly improve the decision-making process when planning for entries and exits points.
Hani angle support and resistanceBy examining the intersections of the average price in the past, this indicator identifies points as support and resistance, according to which it determines a diagonal line to the last average price in the future.
As you can see in the picture, these points are more important than floors and ceilings, and they can be cited more
According to the 360-period cycles of the market, it has the best performance
In this indicator, there are two lines that show the average price in different periods.
Ingulf candles and the pattern of three return candles are used for the signal
In the scalp model, the pattern of three consecutive candles and one engulfing candle is used
In the model of circles, Engulfing candle is also used according to algo
By default, this stop loss calculation is twice the size of the signal candle, which you can change according to the type of transaction.
Enter the amount of your balance and change the amount of contract size according to the currency
For example, the contract size is Bitcoin (1) and the contract size is EURUSD (100,000) and XAUUSD (100) and enter the amount of risk in each transaction.
At the time of the signal, you will see the exact size required to enter the transaction (not including the commission, because each exchange has a different commission and a different spread).
For a better view of the market, you can pay special attention to the distance and angle of the two lines.
Support and resistance lines are continuously displayed for 500 candles to be considered in the future of the market
This indicator requires basic knowledge of candlestick and it is better for the trader to make the final decision according to the market situation. However, an alarm has also been set that sends the stop loss amount for use in the web hook.
The price at the moment of the signal is also alarmed for comparison so that the signal can be compared at the time of the alarm.
The size of the ATR band is used to measure the wave if the waves are large enough to send cleaner signals.
The green label: distance between the last intersection and the average price.
The yellow label: distance between two periods of the average price
White label: lot size to enter the market
pink label: ATR size
Bitcoin SOPR HeatmapSOPR (spent output profit ratio) is a metric, provided by Glassnode to measure if most BTC are moved in profit or in loss. The higher SOPR is, the more profits are realized (theoretically) and vice versa.
This indicator shows SOPR visually as a heatmap directly on the Bitcoin chart.
Cold temperatures (blue, purple) show bear markets. Bear market peaks should be visible in dark purple.
Hot temperatues (yellow, red) show bull markets. Hype phases should be visible in red.
I recommend to hide chart when using the indicator. Otherwise you can also enlarge the heatmap in the settings.
The indicator works best on BTCUSD standard charts on daily timeframe. Otherwise you will see an error message.
Boftei's StrategyI wrote this strategy about a year ago, but decided to publish it just now. I have not been able to implement this strategy in the market. If you can, then I will be happy for you.
This strategy is based on my "Botvenko Script". (It finds the difference between the logarithms of closing prices from different days.) (Check this script in my profile)
Then the strategy makes trades when the "Botvenko Script" indicator crosses the levels set earlier and manually selected for each currency pair/shares: long/short opening/closing levels, long/short re-entry levels. (They are drawn with horizontal dotted lines.) The names of these lines are: buy/sell level, long/short retry - too low/high, long close up/down, dead - close the short. Manual selection of each of the parameters provides a qualitative entry of the strategy into the deal. However, without restraining mechanisms, the strategy enters into rather controversial deals. In order to avoid going long/short during bear/bull markets, which is unacceptable, I added a fan of EMA lines.
The fan consists of several EMA lines, which are set according to Fibonacci numbers (21, 55, 89, 144). If the lines in the fan are arranged in ascending order (ema_21>ema_55 and ema_55>ema_89 and ema_89>ema_144), then this indicates a bull market, during which I banned shorting. And vice versa: during the bear market (ema_21<ema_55 and ema_55<ema_89 and ema_89<ema_144) I banned long trading. If these two inequalities are not met, then this indicates that the market is flat, and during it it is allowed to enter any transactions, because a flat is a good moment to catch massive movements in the future by entering a transaction. (This is all visualized using semi-transparent thick lines of green, yellow and red colors.)
By default, all parameters are adjusted for the btc/usd (bitstamp) pair. Best of all, the strategy shows itself if 1 candle = 1 day.
At the time of writing, on the pair btcusd (bitstamp) (1d) with pyramiding = 1, the strategy shows a profit of 64728896%. If pyramiding is increased by 1, then the profit will be greater, but I still prefer pyramiding = 1.
There is a possibility that my strategy is doing complete nonsense. I don't vouch for her.
If you select parameters for other pairs of currencies/stocks, then you should not change anything in the fan of lines.
That's all, probably.
Market Relative Candle Ratio ComparatorIntroducing the Market Relative Candle Ratio Comparator, a visually captivating script that eases the way you compare two financial assets, such as cryptocurrencies and market indices. Leveraging a distinctive calculation method based on percentage changes and their averages, this tool presents a crystal-clear view of how your chosen assets perform in relation to each other, both for individual candles and over a range of previous candles.
Tailoring the script to your preferences is a walk in the park, as it allows you to easily adjust input symbols, moving average lengths, and other parameters to match your analytical approach. The visually arresting column chart it creates employs vivid red and green colors to underscore the differences between the two assets on each candle. Simultaneously, the lower-opacity columns depict the accumulated differences over a specified lookback period. This vibrant blend of colors and opacities results in a dynamic visual experience, enabling you to better grasp market trends relative to each other.
The reverse bool input is a handy feature that lets you invert the effect of the input symbol (DXY by default) in the comparison. When you set the reverse input to true, the script multiplies the calculated DXY percentage change by -1, effectively reversing the comparison. This is particularly useful when examining assets with an inverse relationship or when you'd like to analyze the input symbol's impact in the opposite direction.
For instance, if the input symbol represents a market index that generally moves in the opposite direction of the selected cryptocurrency, enabling the reverse input will help you better visualize and understand the relationship between the two assets by inverting the input symbol's effect on the comparison.
In the accompanying chart, you can observe the comparison of Bitcoin's movement relative to the Dollar, Gold, Bonds, and the S&P 500. The indicator reveals that in the last day, Bitcoin outperformed Bonds, Gold, and the Dollar but not the S&P 500!
Crypto Performance Index1. The Crypto Performance Index (CPI) estimates the price appreciation of a crypto asset relative to the overall crypto market performance. The indicator is calculated using a Sharpe Ratio principle enhanced with time-domain normalization and cumulative parametrization.
2. The CPI is based on the idea that the performance of an asset should be evaluated not only in terms of its absolute price movement, but also in terms of its risk-adjusted returns compared to the broader market. The Sharpe Ratio, which takes into account both the asset's return and its volatility, is a commonly used measure of risk-adjusted performance.
3. The CPI takes the Sharpe Ratio principle further by incorporating a time-domain normalization technique that adjusts for differences in volatility across different time periods. The cumulative parametrization ensures that the CPI considers the overall performance of the asset over a specified period of time.
4. To use the indicator, select a timeframe and set the standard deviation period (default is 20). The CPI line can be compared against various market benchmarks, including the total crypto market cap (white line), altcoins total market cap (blue line), low-cap altcoins (without ETH), and Bitcoin.
5. An upward slope of the CPI line indicates strong price performance of an asset, with a relatively high chance for the asset to continue growing faster than the market in the future. Conversely, a downward slope of the CPI line indicates weak price performance of an asset, with a relatively high chance for the asset to depreciate in price with respect to the rest of the market in the future.
6. Overall, the CPI provides a comprehensive measure of an asset's price performance, taking into account both its absolute return and its risk-adjusted return relative to the broader market. This makes it a valuable tool for investors looking to evaluate the performance of their crypto holdings and make informed decisions about buying, selling, or holding assets.
Historical AverageThis indicator calculates the sum of all past candles for each new candle.
For the second candle of the chart, the indicator shows the average of the first two candles. For the 10th candle, it's the average of the last ten candles.
Simple Moving Averages (SMAa) calculate the average of a specific timeframe (e.g. SMA200 for the last 200 candles). The historical moving average is an SMA 2 at the second candle, an SMA3 for the third candle, an SMA10 for the tenth, an SMA200 for the 200th candle etc.
Settings:
You can set the multiplier to move the Historical Moving Average along the price axis.
You can show two Historical Moving Averages with different multipliers.
You can add fibonacci multipliers to the Historical Moving Average.
This indicator works best on charts with a lot of historical data.
Recommended charts:
INDEX:BTCUSD
BLX
But you can use it e.g. on DJI or any other chart as well.
Degen Dominator - (Crypto Dominance Tool) - [mutantdog]A fairly simple one this time. Another crypto dominance tool, consider it a sequel to Dominion if you will. Ready to go out-of-the-box with a selection of presets at hand.
The premise is straightforward, rather than viewing the various marketcap dominance indexes as their standard percentage values, here we have them represented as basic oscillators. This allows for multiple indexes to be viewed in one pane and gives a decent overview of their relative changes and thus the flow of capital within the overall crypto market. As a general rule-of-thumb, when a plot is above zero then the dominance is climbing, thus capital is likely flowing in that direction. The inverse applies when below zero. When the market is quiet, all will be close to zero. Basic overbought/oversold conditions can also be inferred too.
Active as default are:
Bitcoin (0range): CRYPTOCAP:BTC.D
Ethereum (Blue): CRYPTOCAP:ETH.D
Stablecoins (Red): CRYPTOCAP:USDT.D + CRYPTOCAP:USDC.D
Altcoins (Green): 100 - (all of the above)
These are plotted according to the selected oscillator preset and it's length parameter. The default is set to 'EMA Centre'. An optional RMA(3) smoothing filter is also included and active as default. Each index plot has its own colour and opacity settings available on the main page.
Additionally, the following are also available (deactivated as default):
Total DeFi : CRYPTOCAP:TOTALDEFI.D
Current Symbol : Will try to match corresponding dominance index for the chart symbol if available.
Custom Input : Manual text input, will try to match if available.
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The included presets determine the oscillator type used, all are fairly simple and easy to interpret:
EMA Centre
SMA Centre
Median Centre
Midrange Centre
The first 4 are all variations on the same theme, simply calculated as the difference between the actual value and its respective average. EMA is the default and is my personal preference, if you generally favour using an SMA then perhaps that would be your better choice. Like the two MAs, median and midrange are also dependant on the length parameter. Midrange is calculated from the difference between highest and lowest values within the length period, with a little extra smoothing from an RMA(3).
Simple Delta
Weighted Delta
Running Delta
Often referred to as momentum, delta is just change over time. 'Simple' is the most basic of these, the difference between the current value and the value (length) bars prior. A more long-winded way of calculating this would be to take the difference between each bar and its previous then average them with an SMA which results in the same value. 'Weighted' adopts that principle but instead uses a WMA, likewise 'Running' is the same but using an RMA. The latter is actually the basis of RSI calculations before any normalisation is applied, as you can see in the next preset.
RSI
CMO
RSI really should not need explaining, it is however applied a little differently here to the usual, in this case centred around 0. The x100 multiplication factor has been dropped too for the sake of consistency. The same principle applies with CMO, which is basically a 'Simple Delta' version of RSI.
Hard Floor
Soft Floor
These last two are a little different but both can provide useful interpretations. The floor here is simply the lowest value within the chosen length period. 'Hard' plots the difference between the current value and the floor, thus giving a value that is always above 0. In this case, focus should be given to the relative heights of each with a simple interpretation that capital is flowing into those that are climbing and out of those descending. 'Soft' is essentially the same except that the floor is smoothed with an RMA(3), the result being that when new lows are made, the plot will break below 0 before the floor corrects a few bars later. This soft break provides additional information to that given by 'Hard' so is probably the more useful of the two.
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To finish it off, a bunch of preset alerts are included for the various 0 crossings.
So that just about covers everything then, all quite straightforward really. Future updates may include some extra stuff, the composition of the stablecoin index may change if necessary too. While this is not really a tweaker's tool like some of my other projects, there's still some room for experimentation here. The 'current' and 'custom' indexes can provide some useful data for compatible altcoins and the possibility to compare inter-related tokens (eg: Doge vs Shib). While i introduced this as a sort of sequel to Dominion, it is not intended as a replacement but more of a companion. This initially started as a feature intended for that one but it quickly grew into its own thing. Both the oscillator view here and the more traditional view have merits, i personally use this one primarily now but frequently refer to Dominion for confirmations etc.
That's it for now anyway. As always, feedback is welcome below. Enjoy!
[SM] Bitcoin cycles bull market
An indicator to determine the seasonality / cyclicality of bitcoin for long trades.
Application
- For traders: Identification of zones with lower risk of entering long positions
- For swing traders and investors: customizable calendar of entries into long position
Indicator structure
1. Vertical zones (green and red) of time ranges. Only for historical bars. The range width is adjustable in the indicator settings.
2. Table (in the form of a calendar) for determining the time of entering a trade in the future. The table is not editable. It displays the result of the configured zones on the historical bars.
General settings
- choose the color of the Tradingview theme (light or dark)
Table settings
- Turn table display on / off
- Set the number of months to be displayed in the table
Settings of vertical zones (green and red)
Each cycle (1 month summer, 1 month autumn, ...) has four dates
- start date of the green zone (day and month)
- date of the end of the green zone
- start date of the red zone
- date of the end of the red zone
Bitcoin Halving Rainbow + S2F Model PriceOverview
The rainbow price line:
This script creates a colorful view of Bitcoin's price action, where different colors indicate the time until the next halving date. The color scale in the top right highlights what each main color group represents in terms of days until the next halving. Using historical data, the simple indication of days until the next halving has somewhat accurately predicted potential bottoms and tops of market cycles. Comparing current colors to previous cycles provides a rough view of where BTC is in its current cycle and what to expect going forward until the next halving date.
In addition to the colored price action, I have incorporated the stock-to-flow model price for Bitcoin.
The stock-to-flow (S2F) model price:
The stock-to-flow ratio is a calculation that aims to estimate how many years are required to produce the current stock of an asset, based on the current production rate. When applied to Bitcoin, we simply divide the total amount of bitcoins in circulation by the amount of bitcoins mined in a certain timeframe. Once we have this value, we can calculate a model price based on the stock-to-flow ratio. This S2F model price uses a 463-day moving average. Preston Pysh came up with this number as he believed Bitcoin cycles happen in three phases: bull run, correction, and a reversion to the mean. He estimated there are about 200,000 blocks per cycle, three phases per cycle, and ~144 blocks per day. Dividing all three gets us 463. I have removed 1,000,000 coins from this calculation to account for Satoshi's coins.
The process I took to plot this model price (credit to PlanB for originally creating this calculation):
-Declare constant variables for the halving period, starting block reward, and the number of coins Satoshi owns.
-Fetch the block index by using the request.security() function.
-Determine the number of halvings that have occurred by dividing the block index by the halving period.
-Calculate the current block reward by multiplying the initial block reward by 0.5 raised to the power of the number of halvings.
-Calculate the number of blocks mined per period (day or week) and derive the stock (total bitcoins in circulation minus Satoshi's coins) and flow (annual block rewards) from it.
-Calculate the S2F ratio by dividing the stock by the flow.
-Calculate the S2F model price by applying a mathematical formula (ModelPrice = exp(-1.84) * S2F to the power of 3.36) along with a 463-day moving average.
** Please note, due to the use of the 463-day MA, the first ~400 days of the S2F model price is not entirely accurate.
In addition to the above, I have added vertical lines on each halving date, along with labels that have a tooltip if you hover over them, which will show more information about that particular halving.
Important tips:
-This script has been designed to work on the 1-Day timeframe but can also work on the 1-Week timeframe. Any other timeframe will not accurately plot all the information due to the way I have developed the script.
-This script is best used on the ticker I have posted this on, "INDEX:BTCUSD". It can also work on "BLX" or "BITSTAMP:BTCUSD".
-Hide candles when using the script to just show the halving rainbow (hover over the symbol name in the top left and press the eye icon).
-Right-click the price scale and select "Scale price chart only" to get a better view of the plots.
-Right-click the price scale and select "Logarithmic."
-I will update the script as time goes on to show future halvings along with adjusting the next halving date as we get closer (if it changes).
Settings Menu:
Tooltips are included explaining what the settings do, but here's a quick summary:
-'Show Vertical Halving Lines?': Default is true. This allows the user to remove the vertical lines shown on each halving date.
-'Show Halving Labels?': Default is true. This allows the user to remove the info labels shown on each halving date.
-'Halving Line and Label Color': Default is white. This allows the user to change the color of the halving lines and labels to better fit their chart layout.
-'Show Stock to Flow Model Price?': Default is true. This allows the user to remove the S2F model price.
-'Stock to Flow Model Price Color': Default is white. This allows the user to change the color of the S2F model price to better fit their chart layout.
-'Draw Color Table?': Default is true. This allows the user to remove the color table in the top right of the chart.
-'Distance rainbow is away from actual price action': Default is 0 (Plots over candles). This allows the user to adjust where the halving rainbow is plotted if they would like to also see candles on the chart. (Use any value under 0.9)
Feel free to message me or comment on the post with any questions or issues!
Much more to come!
Thanks for reading, enjoy!
Short Term Bubble RiskThis risk indicator uses the extension of the closing price to the 20W SMA and displays a color-coded risk oscillator. The higher the oscillator is, the greater the short-term risk and vice-versa. This indicator has historically worked well for estimating the short-term risk of Bitcoin and Ethereum on a weekly timeframe.
BTC Performance Table / BTC Seasonality Visualization
This script visualizes Bitcoins "seasonality", in form of a colored table (based on the idea from "BigBangTheory")
The history table shows you which months do statistically perform better/worse in comparison to other months.
How to use this script:
Choose ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin").
Set the charts time frame to weekly or daily. Tables position on the screen and its colors are configurable.
Table explanation:
Cells show whether a gain or a loss occured from month to month, since BTC came out in 2010.
The price difference, between monthly open and monthly close, determines the cell color (negative -> red, positive -> green).
The year column shows total gain (green) or loss (red) for that particular year.
Each value is presented as a rounded percentage number.
How this script works:
The script calculates the price difference between each monthly and yearly open and close, storing those numbers inside arrays.
Then it populates the table, by using those numbers and doing the cell coloring (there will be a yellow cell, in case no change should occur).
German Short-Description
Prozentuale Übersicht in Tabellenform, der monatlichen, sowie jährlichen, Performance des Bitcoin (basierend auf der Idee von "BigBangTheory").
Hierdurch wird die "Saisonalität" des Bitcoin sichtbar. D.h. welche Monate des Jahres, im Vergleich zu anderen Monaten, statistisch gesehen öfter positiv/negativ schließen.
Zwecks vollständiger Darstellung muss der Ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin") im weekly oder daily time frame aktiv sein.
