(mab) Dynamic Bitcoin NVT SignalBitcoin`s NVT is calculated by dividing the Network Value (market cap) by the USD volume transmitted through the blockchain daily. Note this equivalent of the bitcoin token supply divided by the daily BTC value transmitted through the blockchain, NVT is technically inverse monetary velocity.
Credits go to Willy Woo for creating the Network Value Transaction Ratio (NVT). Credits go also to Dimitry Kalichkin improving NVT and creating the NVT Signal (NVTS).
According to its creator, the NVT Ratio is somewhat similar to the PE Ratio used in equity markets. When Bitcoin`s NVT is high, it indicates that its network valuation is outstripping the value being transmitted on its payment network, this can happen when the network is in high growth and investors are valuing it as a high return investment, or alternatively when the price is in an unsustainable bubble.
I created this indicator because the NVT indicator I was using suddenly stopped working. I tried a number of other NVT indicators, but all of them seem to have the same problem and stopped updating after a certain date. The cause is that the data feed from 'Quandl' that is used by most NVT indicators is no longer updated through the previous API.
Instead TradingView created a special API to access 'Quandl" data. This indicator not only uses the new API for 'Quandl', it can also access data from other providers like 'Glassnode', 'CoinMetrics' and 'IntoTheBlock'. However, the 'Quandl' data feed seems to produce the best results with this indicator.
The indicator provides dynamically adjusting overbought and oversold thresholds based on a two year moving average and standard devition with adjustable multipliers. It also implements alerts for NVT going into overbought, oversold or crossing the moving average.
Version 1.0
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Version history
0.1 Beta
- Initial version
1.0
- First release
BTC-D
BTC/USD Inflation priced in! ~Period 2009 - 2023 (by TAS)The script creates a custom indicator titled "BTC Adjusted for Economic Factors.
Adjusted BTC Price is plotted in red, making it more prominent. The adjusted price is Bitcoin's historical closing prices adjusted for cumulative inflation over time, based on the Core Consumer Price Index (CPI) annual inflation rates from 2009 onwards.
The script calculates the adjusted price of Bitcoin by taking into account the effect of inflation on its value. It uses annual CPI rates for each year from 2009 to 2022 to calculate a cumulative inflation factor. The script assumes a placeholder inflation rate of 2.5% for 2023, indicating that this value should be updated when the actual rate is available. The script suggests adding CPI rates for additional years as they become available to maintain the accuracy of the adjustment.
Here's a breakdown of how the script works:
Core CPI Annual Inflation Rates: It starts by defining the annual inflation rates for each year from 2009 to 2022, expressed as a percentage divided by 100 to convert to a decimal.
Cumulative Inflation Calculation: The script calculates cumulative inflation starting from the year 2009 up to the current year. For each year that has passed since 2009, it multiplies the cumulative inflation factor by (1 + cpiRate), where cpiRate is the inflation rate for that year. This effectively compounds the inflation rate over time.
Adjusting Bitcoin's Price: The script then adjusts Bitcoin's closing price (close) for the calculated cumulative inflation to get the adjusted price (adjustedPrice).
Plotting the Prices: Finally, it plots both the original and the adjusted Bitcoin prices on the chart, allowing users to visually compare how inflation has theoretically impacted Bitcoin's value over time.
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Important to notice, Fib. Retracements from the 2017 cycle top to the recent top (¬80K) doesn't look invalidated.
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Inputs and feedback are welcome!
STABLECOINS DEPEG FINDERSTABLECOINS DEPEG FINDER
With this script, you will be able to understand how DePeg in stablecoins USDT, USDC, and FDUSD can influence the TOTAL Market Cap.
WHAT IS DEPEG?
DePeg occurs when a stablecoin loses its peg. It can't maintain the $1.00 price for a while (or anymore). Traders can use DePeg for high-quality trading both in Crypto and Stablecoins. Usually, a Negative DePeg (e.g., 0.98%) means you can buy Stablecoins at a 2% discount. This translates to a 2% gain when the Stablecoin returns to its peg. Additionally, a Positive DePeg could be a good moment for selling or withdrawal.
WHY DEPEG MATTERS IN THE CRYPTO SPACE
Depeg in Crypto markets is primarily a matter of "earning from small differences in peg." If well understood, it can help traders and analysts to spot whales' next moves. Usually, when a negative DePeg (below $1) occurs, it means whales are in a hurry to sell their Stablecoin tokens for Crypto Tokens. In this hurry, they sell Stablecoins at a discount. In the short term, a Crypto pump is likely planned, and they buy the next x100 token.
On the other hand, a positive DePeg (above $1) means whales are in a hurry to convert tokens into Stablecoins because they are heavily selling Crypto Tokens. This leads to them paying more for Stablecoins. Positive Depeg is more interesting than Negative DePeg. Usually, it signifies an important sell-off in the crypto environment, creating high tension to safeguard your hard-earned money. Whales hurry to convert altcoins and tokens into stablecoins, causing a Positive Depeg (they are willing to pay more to be safe). Positive DePeg is plotted as Intense Background Color.
Identifying 'areas' where this occurs could help traders and analysts understand this highly manipulative market better and take positions.
THE SCRIPT
This script will help traders and analysts understand when USDT, USDC, and FDUSD depegged and how the crypto market reacted. It comes with the possibility to check and plot backgrounds when there's Positive DePeg or Negative DePeg for USDT, USDC, or FDUSD.
It's pretty useful for data analysis. In the bottom-right part, you can check the actual stablecoin peg for the three Stablecoins:
- Highest Positive DePeg in a given BackTrace
- Average Positive DePeg in a given BackTrace
- Actual Peg for USDT, USDC, FDUSD
- Average Negative DePeg in a given BackTrace
- Lowest Negative DePeg in a given BackTrace
UNDERSTANDING THE BACKGROUND PLOT
NEGATIVE DEPEG
For each Stablecoin, negative DePeg is plotted as Translucent Background Color: USDT lime, USDC aqua, FDUSD grey. You can choose from settings whether it needs to be enabled or disabled for each token.
POSITIVE DEPEG
For each Stablecoin, positive DePeg is plotted as Intense Background Color: USDT lime, USDC aqua, FDUSD grey. You can choose from settings whether it needs to be enabled or disabled for each token.
USE CASE EXAMPLES
With this script you can plan to be alerted WHEN one of those stablecoin are depegging over a threesold. Than you can act accordingly.
BUY OPPORTUNITY
Let' suppose you want to see how USDC can influence Crypto Price when deppeged
I've setup signal to be plotted only for negative Depeg when USDC goes below 0.998. As you can see it was a very good and nice buy area for the entire crypto market
SELL OPPORTUNITY
Spot a selling point could be harder. In the example below let's see how USDC positive DePeg can show signal of Crypto dump earlier in daily TF
ATH Gain PotentialThe indicator quantifies the relative position of a symbol's current closing price in relation to its historical all-time high (ATH).
By evaluating the ratio between the ATH and the present closing price, it provides an analytical framework to estimate the potential gains that could accrue if the symbol were to revert to its ATH from a specified reference point. The ratio serves as a quantitative measure for assessing the distance between the current market value and the symbol's historical peak, enabling investors to gauge the prospective profitability of a return to the ATH.
MicroStrategy / Bitcoin Market Cap RatioThis indicator offers a unique analytical perspective by comparing the market capitalization of MicroStrategy (MSTR) with that of Bitcoin (BTC) . Designed for investors and analysts interested in the correlation between MicroStrategy's financial performance and the Bitcoin market, the script calculates and visualizes the ratio of MSTR's market capitalization to Bitcoin's market capitalization.
Key Features:
Start Date: The script considers data starting from July 28, 2020, aligning with MicroStrategy's initial announcement to invest in Bitcoin.
Data Sources: It retrieves real-time data for MSTR's total shares outstanding, MSTR's stock price, and BTC's market capitalization.
Market Cap Calculations: The script calculates MicroStrategy's market cap by multiplying its stock price with the total shares outstanding. It then forms a ratio of MSTR's market cap to BTC's market cap.
Bollinger Bands: To add a layer of analysis, the script includes Bollinger Bands around the ratio, with customizable parameters for length and multiplier. These bands can help identify overbought or oversold conditions in the relationship between MSTR's and BTC's market values.
The indicator plots the MSTR/BTC market cap ratio and the Bollinger Bands, providing a clear visual representation of the relationship between these two market values over time.
This indicator is ideal for users who are tracking the impact of Bitcoin's market movements on MicroStrategy's valuation or vice versa. It provides a novel way to visualize and analyze the interconnectedness of a leading cryptocurrency asset and a major corporate investor in the space.
MVRV Z-ScoreThe MVRV ratio was created by Murad Mahmudov & David Puell. It simply compares Market Cap to Realised Cap, presenting a ratio (MVRV = Market Cap / Realised Cap). The MVRV Z-Score is a later version, refining the metric by normalising the peaks and troughs of the data.
USDT+USDC+BUSD Market CapThis Pine Script indicator visualizes the combined market capitalization of three prominent stablecoins: USDT, USDC, and BUSD, on a daily basis.
It fetches the daily closing market caps of these stablecoins and sums them. The resulting line graph is displayed in its own separate pane below the main price chart.
The line is color-coded: green on days when the market cap is increasing compared to the previous day, and red when it's decreasing.
High/Low of week: Stats & Day of Week tendencies// Purpose:
-To show High of Week (HoW) day and Low of week (LoW) day frequencies/percentages for an asset.
-To further analyze Day of Week (DoW) tendencies based on averaged data from all various custom weeks. Giving a more reliable measure of DoW tendencies ('Meta Averages').
-To backtest day-of-week tendencies: across all asset history or across custom user input periods (i.e. consolidation vs trending periods).
-Education: to see how how data from a 'hard-defined-week' may be misleading when seeking statistical evidence of DoW tendencies.
// Notes & Tips:
-Only designed for use on DAILY timeframe.
-Verification table is to make sure HoW / LoW DAY (referencing previous finished week) is printing correctly and therefore the stats table is populating correctly.
-Generally, leaving Timezone input set to "America/New_York" is best, regardless of your asset or your chart timezone. But if misaligned by 1 day =>> tweak this timezone input to correct
-If you want to use manual backtesting period (e.g. for testing consolidation periods vs trending periods): toggle these settings on, then click the indicator display line three dots >> 'Reset Points' to quickly set start & end dates.
// On custom week start days:
-For assets like BTC which trade 7 days a week, this is quite simple. Pick custom start day, use verification table to check all is well. See the start week day & time in said verification table.
-For traditional assets like S&P which trade only 5 days a week and suffer from occasional Holidays, this is a bit more complicated. If the custom start day input is a bank holiday, its custom 'week' will be discounted from the data set. E.g.1: if you choose 'use custom start day' and set it to Monday, then bank holiday Monday weeks will be discounted from the data set. E.g.2: If you choose 'use custom start day' and set it to Thursday, then the Holiday Thursday custom week (e.g Thanksgiving Thursday >> following Weds) would be discounted from the data set.
// On 'Meta Averages':
-The idea is to try and mitigate out the 'continuation bias' that comes from having a fixed week start/end time: i.e. sometimes a market is trending through the week start/end time, so the start/end day stats are over-weighted if one is trying to tease out typical weekly profile tendencies or typical DoW tendencies. You'll notice this if you compare the stats with various custom start days ('bookend' start/end days are always more heavily weighted). I wanted to try to mitigate out this 'bias' by cycling through all the possible new week start/end days and taking an average of the results. i.e. on BTC/USD the 'meta average' for Tuesday would be the average of the Tuesday HoW frequencies from the set of all 7 possible custom weeks(Mon-Sun, Tues-Mon, Weds-Tues, etc etc).
// User Inputs:
~Week Start:
-use custom week start day (default toggled OFF); Choose custom week start day
-show Meta Averages (default toggled ON)
~Verification Table:
-show table, show new week lines, number of new week lines to show
-table formatting options (position, color, size)
-timezone (only for tweaking if printed DoW is misaligned by 1 day)
~Statistics Table:
-show table, table formatting options (position, color, size)
~Manual Backtesting:
-Use start date (default toggled OFF), choose start date, choose vline color
-Use end date (defautl toggled OFF), choose end date, choose vline color
// Demo charts:
NQ1! (Nasdaq), Full History, Traditional week (Mon>>Friday) stats. And Meta Averages. Annotations in purple:
NQ1! (Nasdaq), Full History, Custom week (custom start day = Wednesday). And Meta Averages. Annotations in purple:
Quantitative Trend Strategy- Uptrend longTrend Strategy #1
Indicators:
1. SMA
2. Pivot high/low functions derived from SMA
3. Step lines to plot support and resistance based on the pivot points
4. If the close is over the resistance line, green arrows plot above, and vice versa for red arrows below support.
Strategy:
1. Long Only
2. Mutable 2% TP/1.5% SL
3. 0.01% commission
4. When the close is greater than the pivot point of the sma pivot high, and the close is greater than the resistance step line, a long position is opened.
*At times, the 2% take profit may not trigger IF; the conditions for reentry are met at the time of candle closure + no exit conditions have been triggered.
5. If the position is in the green and the support step line crosses over the resistance step line, positions are exited.
How to use it and what makes it unique:
Use this strategy to trade an up-trending market using a simple moving average to determine the trend. This strategy is meant to capture a good risk/reward in a bullish market while staying active in an appropriate fashion. This strategy is unique due to it's inclusion of the step line function with statistics derived from myself.
This description tells the indicators combined to create a new strategy, with commissions and take profit/stop loss conditions included, and the process of strategy execution with a description on how to use it. If you have any questions feel free to PM me and boost if you enjoyed it. Thank you, pineUSERS!
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!
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 :)
Buy / Sell Fractal Algorithm with SL Line GenerationThis algorithm is designed for usage across indices.
How it works?
The algorithm uses a variation of fractals, momentum, RSI and LRSI to determine a trends direction.
The Relative Strength Index (RSI) is a momentum-based oscillator used to measure the speed (velocity) and change (magnitude) of directional price movements. It provides a visual means to monitor both the current and historical strength and weakness of a particular market. The strength or weakness is based on closing prices over the duration of a specified trading period, creating a reliable metric of price and momentum changes
Momentum in trading refers to the direction and magnitude of price. Momentum plays a key role in assessing trend strength, and it is important to know when a trend is slowing down. Less momentum does not always lead to a reversal, but it does signal that something is changing, and the trend may consolidate or reverse
Fractals are patterns within price changes which are repeated across thousands of bars. Examples of fractals include the golden ratio, PHI and the spirals of the milk way. They are quite literally a universal concept.
Basics of usage:
When a bullish trend is detected; the algorithm will generate a green "SL Line" at a calculated point, which can be interpreted as an invalidation line.
If the price goes below this line, the bullish trend is invalidated. So long as it holds, the bullish trend is true until the next detection change.
When a bearish trend is detected; the algorithm will generate a red "SL Line", at a calculated point, which can be interpreted as an invalidation line.
If the prices goes above this line, the bearish trend is invalidated. So long as it holds, the bearish trend is true until the next detection change.
When a given trend is invalidated, the SL Line turns yellow and you enter a "pause zone", where neither a bearish nor bullish trend is calculated.
This resets itself on the next trend detection.
Additional information:
I have coded my own backtest to this algorithm, along with plotting the profit / loss of each generated trade.
The profit is calculated by the difference between the open bar of the trade after a long ( or short ) and the following trade.
If we are calculating a short, the resulting value is then multiplied by -1 to get a positive integer.
For calculating a loss we take the value of the open bar of the trade that generates a long, and take the difference between this and the SL line, and similarly for short positions. The code assumes the user is placing their SL at the indicated line.
Within the input settings there are a few customisation options:
Alpha & Fractal Energy Length & Source - Should not be changed.
Highly bands crossover? - Has no visible effect whether on or off. It refers to the fractal chart which in this iteration is not visible and rather a backend mechanic.
Apply fractal energy? - Should generally be left turned on. This is a noise reduction. Disabling will result in over-trading.
Apply normalization? - Has no impact, is solely used to make the fractal values more human-readable rather than decimal format.
Offset - refers to the offset value of the SL Line generations. This should be set to a value that gives you enough breathing room, and remember to include any spreads! Default is 0.2, written in %
Trading hours - This simply gives a session input for the trading hours you want to trade within, and then colours the background green for that session. Trading 24/7 is never a wise strategy, stick to whatever is most optimal for you.
Leverage - Whatever leverage you are using. Default is x20. This will affect the profit / loss calculations accordingly.
Start equity - refers to the equity value you want to backtest with. Some assets will generate NA for this in the backtest label explained later.
Label customisation options.
Note that the backtest label is by default hidden, and appears when you hover over the black label at the current bar. When enabled to visible, it will show a large text label that may cover your chart screen more than you wish.
Alerts -
There are dozens of alert functionalities here; first are the timeframe assignments for each alert, set by default to 2hrs.
These timeframes then affect the asset you select in the corresponding setting.
In total there are 8 additional assets you can set alerts for.
Once you have assigned the timeframe and asset for an alert, you can then check the tick box for that individual alert.
Once done, you set the alert as normal through the tradingview alerts window. Remember to set "alert function calls only"
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Timers:
I have added some functionality for timers to be set, values are in minutes. These work on the exact time of placement. Do not change the extra symbol formula option.
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Note that this backtest is not intended as a replacement for tradingview backtest, nor is there a guarantee that historical results are to be replicated in the future. Trading is inherently risky.
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos
This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6.
In this way we can superimpose the prices on the BTC chart and see what happens.
Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price
At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations.
The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets.
The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla.
The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually.
The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower.
To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters:
Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ).
Text: "Moyen BTC_SP_Te", which is the text to display inside the marker.
Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards.
Location: location.belowbar, which specifies that the marker should be placed below the bar.
I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
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.
Kimchi Premium StrategyThis strategy is based on the Korea Premium, also known as the “Kimchi Premium,” which indicates how expensive or cheap the price of Bitcoin in Korean Won on a Bitcoin exchange in South Korea is relative to the price of Bitcoin being traded in USD or Tether. Inverse Kimchi Premium RSI was newly defined to create a strategy with Kimchi Premium. Assuming that the larger the kimchi premium, the greater the individual's purchasing power. In this case, if the Inverse Kimchi Premium RSI falls and closes the candle below the bear level, a short is triggered. Long is the opposite.
This strategy defaults to a combination of the traditional RSI and the Inverse Kimchi Premium RSI. If the user wishes to unlock the Inverse Kimchi Premium RSI combination and only use it as a traditional RSI strategy, the following settings can be used.
Use Combination of Inverse Kimchi Premium RSI: Uncheck
Resolution: Chart (4hr Candle)
Source: Close
Length of RSI: 14
Bull Level: 74
Bear Level: 25
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김치프리미엄(김프) 전략은 달러 혹은 테더로 거래되고 있는 비트코인 가격 대비 한국에 있는 비트코인 거래소의 비트코인 원화 가격이 얼마나 비싸고 싼 지를 나타내는 코리아 프리미엄, 일명 "김치 프리미엄" 지표를 기반으로 만들어졌습니다. 김치 프리미엄을 가지고 전략을 만들기위해 Inverse Kimchi Premium RSI를 새롭게 정의하였습니다. 김치 프리미엄이 커질수록 개인의 매수세가 커진다고 가정하고, 이 경우 Inverse Kimchi Premium RSI이 하락하여 Bear Level 아래에서 캔들 마감을 하면 Short을 트리거 합니다. Long은 그 반대입니다.
이 전략은 전통적인 RSI와 Inverse Kimchi Premium RSI을 조합하여 기본값을 설정하였습니다. 유저가 원한다면 Inverse Kimchi Premium RSI의 조합을 해제하고 전통적인 RSI 전략으로만 사용하려면 아래 다음의 설정값을 사용할 수 있습니다.
Use Combination of Inverse Kimchi Premium RSI: 체크 해제
Resolution: Chart (4hr Candle)
Source: Close
Length of RSI: 14
Bull Level: 74
Bear Level: 25
ATR Mean Reversion Strategy V1**Long Only Strategy**
When Price drops below the ATR band below it will enter a buy on the next candle open
SL at current price minus ATR* ATR multiplier
TP at Mean EMA or if higher than Mean EMA and current candle low is below previous candle low or if price is above ATR
NB: I would highly recommend a low fee broker (I use ICmarkets raw spread account) due to the fact that this is a decently high frequency trading strategy you will rack up a lot of commission, if you use and exchange like Bybit or Binance the strategy will not be profitable due to the high commissions.
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
BTC Pair Change %This script makes it easier to quickly check how the BTC pair of the current symbol is performing on any pair.
It adds a " change percentage widge t" (of the BTC pair ) to the top right of the chart.
(Refer to the image for an example.)
The change percentage calculation is performed as described here:
www.tradingview.com
To match the "Chg%" that appears on TradingView watchlists, a 24H (1440min) timeframe is used, as described here:
money.stackexchange.com
In short, this script:
Searches for the BTC pair of the current symbol
Calculates the change % using the above described logic (links)
Adds a " change percentage widget " (of the BTC pair) to the top right of the chart
Allows for using 24H timeframe or the current timeframe (enable " Use current timeframe " under the script options)
PSAR BBPT ZLSMA BTC 1minLong entry:
PSAR gives buy signal
BBPT prints green histogram
ZLSMA is below the price
ZLSMA has uptrend
SL is smaller than the max SL
Optional Sessions and EMA filters
Short entry
PSAR gives sell signal
BBPT prints red histogram
ZLSMA is above the price
ZLSMA has downtrend
SL is smaller than the max SL
Optional Sessions and EMA filters
SL:
Placed below ZLSMA + offset on long
Placed above ZLSMA + offset on short
TP1:
1x the SL by default
Takes no profit by default, 50% is also a good setting
TP2:
2x the SL by default
Take out all remaining position size.
If price reaches TP1, the SL is set to the entry price.
BitCoin RSI TrendWhat is it?
This indicator will plot the RSI of BTC with a red or green background based on the top and bottom values which you can set.
How to use it?
For example, you want to trade only if the RSI of BTC is between 50 and 70, so the top value is 70 and bottom is 50. If the RSI value between those values the background will be green, else it will be red.
Why to use it?
The buy and sell strength of the BTC controls the other coins, and it is noticeable when the BTC is over sold and the RSI exceeding the 70, the price will reverse its movement to down, thus it is advisable to not open long position if the RSI of BTC is above the 70-75. Also, if the RSI is under 50 there is a big possibility to move down further to the over bought areas. The best is to buy a altcoins when the BTC RSI is between 50 and 70.
For example, I could avoid a bad long trade on MATICUSDT when the RSI of BTC is going under 50
Or, get a good long trade on MATICUSDT when the RSI of BTC is between 50 and 70
True Bitcoin Value USD - Mario MThe average mining costs of one bitcoin equals to the true intrinsic value
Globally, the Bitcoin network uses around 0.5% of the world’s electrical power supply.
The sheer amount of electrical power and complex hardware required to operate a mining farm has intrinsic value.
This gives bitcoin a fundamental cost to create, and thus intrinsic value.