Price DEFI Categories against BTC & ETH/* Work in progress. The indicator is not finished. *\
The indicator shows the pricing of 3 DEFI categories against 2 possible baselines, BTC and ETH.
To do:
* Make a simple array in the source code to enter and remove new projects to the category. -> Maybe can also make it so that the source code does not have to be altered (projects can be added through input etc.)
* Adjust weightings depending on project data but this is not as important since weightings are being priced in by the market.
* Try to find a way to update input to string instead of booleans. As of currently, I could not seem to use input strings into plot functions because of an error.
* and more. Leave some feedback, that would be highly appreciated!
ביטקוין (מטבע קריפטו)
Moving Average BandsUse this script to find buy and sell zones for BTC based on momentum of the move relative to the average asset price over a given period. The script plots a series of offset bands above and below the Simple Moving Average. When price crosses another band further from the SMA, the background is rendered brighter. The brighter the background, the stronger the buy and sell signal is, as the expectation is that price wants to return to the SMA. Settings are adjustable to fine tune to various time frames and assets. Good settings for BTC Daily are length 30, layers at 10, 20, 30, and 40.
On 1H BTC/USD I use length 200, layers at 5, 10, 15, 20 to find decent swing trading opportunities.
On BTC/USD 1D chart, combine with Bitcoin Logarithmic Growth Curve from @mabonyi (original by @quantadelic )for confluence of very reliable signals.
BTC ATH ROIThis indicator shows the ROI % of Bitcoin from when it passed its ATH of the previous bull cycle. I found it interesting that each time it crossed its ATH it took around 260-280 days to peak for each one. This bull run seems to follow between both of the previous bull runs including this recent dip.
There are a couple issues I want to fix but can't figure out:
1. You need to completely scroll out and move towards 2013 on the Daily chart for all 3 lines to show up. Would be nice to load all of that data at the start.
2. I can't query the value of the plots after they have been offset. This would be useful to create a prediction bias for the current plot so would could see where btc might go.
If you peeps know of a way to load all data or query plot values after offsets, please share. That would be awesome.
Stochastic TrendDear community,
I've made another simple trading bot for you to use. This bot is based on the Stochastic Oscillator. It only produces long trades currently.
I changed the oscillation period to a much longer one, which in turn creates opportunities to trade long term trends.
The bot goes long when the Entry lines is crossed from below and it will close its long position once the Exit line has been crossed from above.
Extremely Overfit Bitcoin Long/ShortThis is a highly overfit (in my opinion) script to long/short BTC on the 15m time frame. May be usable for other cryptocurrencies or timeframes with some parameter adjustments. I backtested it on a few exchanges with ETH.
The simplest way to increase the number of trades is to decrease the "FastChannelLength" parameter or increase the "SlowChannelLength" parameter, or both. Decreasing the margins of the channels also increases the number of trades. In GENERAL, you should expect that adding more trades will hurt profitability, because, as the title says, this script is extraordinarily overfit.
It does include a commission fee from the start, which I find is essential to not providing an overly rosy view of how a strategy would work.
Moritsz's Customized RSIBasically just your standard RSI with a twist. Key differences:
1. Overbought and Oversold levels are moved to a higher and lower level following the nature of cryptocurrency.
2. Added a middle trendline at 50. Above is usually an uptrend, below is a downtrend.
3. Better looking than your typical RSI.
4. Nice pretty colors to please your eyes :)
Enjoy.
RSI Trend CryptoDear community,
Today I want to present you one of my favorite and simple trading bots: The RSI Trend.
This bot is based on the RSI, which normally is used as a trend reversal indicator. However, here it’s used as a trend finding indicator, often with great success. This bot making long-only trades, which is quite successful in bull-markets like the one we’re currently in.
In case you want to use an emergency exit for your trade, toggle the Emergency Exit parameter. During bull-markets it’s better in the long term to keep this option off.
Currently the bot only makes one trade at a time (pyramiding = 1), for higher risk and higher rewards you can increase this parameter. More than 5 is not advised.
I’ve optimized this bot on 15min time frame. It has some decent results for most cryptos on this TF, feel free to test this out.
In case you want to hook this bot up to your exchange, feel free to edit the ALERT messages in the code.
Default Trading Rules:
Long: RSI crosses over 35
Close Long: RSI crosses under 75
Emergency Exit: RSI crosses under 10
BTC Perpetual Futures Premium [Morty]Version 1.0, 20210409
This is an oscillator indicator that shows the premium between BTC perpetual futures and spot prices.
The prices of futures and spot are weighted average prices, weighted by the exchange's trading volume.
When the indicator is in the upper half of the region, the funding rate of perpetual contracts is relatively high, and the market trend is bullish.
When the indicator is in the upper half of the region, the funding rate of perpetual contracts is relatively high, and the market trend is bearish.
You can set the upper and lower limits of the premium. When the indicator exceeds the upper or lower limit, the trend usually reverses.
Buy the dip, Sell the high.
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Version 1.0, 20210409
这是一个振荡器指标，它显示了BTC永续期货和现货之间的溢价。
期货和现货的价格是加权平均价格，由交易所的交易量加权。
当指标在上半部区域时，永续合约的资金费率相对较高，市场趋势是牛市。
当指标在上半部区域时，永续合约的资金费率相对较高，市场趋势是熊市。
您可以设置溢价的上限和下限。当指标超过上限或者下限，通常会趋势反转。
Buy the dip, Sell the high.
ELIA MULTI INDICATORS STRATEGYExperimental multi indicators strategy, to catch right entry and avoid noise.
Each indicator included in the strategy, assume a value based on its status and because is a trend-follow strategy, some indicator value are higher then the other
Backtested on ETHUSDTPERP
BINANCE:ETHUSDTPERP
Scalping Dips On Trend (by Coinrule)Coinrule's Community is an excellent source of inspiration for our trading strategies.
In these months of Bull Market, our traders opted mostly on buy-the-dips strategies, which resulted in great returns recently. But there has been an element that turned out to be the cause for deep division among the Community.
Is it advisable or not to use a stop-loss during a Bull Market?
This strategy comes with a large stop-loss to offer a safer alternative for those that are not used to trade with a downside protection.
Entry
The strategy buys only when the price is above the Moving Average 50 , making it less risky to buy the dip, which is set to 2%.
The preferred time frame is 1-hour.
The stop-loss is set to be quite loose to increase the chances of closing the trade in profit, yet protecting from unexpected larger drawdowns that could undermine the allocation's liquidity.
Exit
Stop loss: 10%
Take Profit: 3%
In times of Bull Market, such a trading system has a very high percentage of trades closed in profit (ranging between 70% to 80%), which makes it still overall profitable to have a stop-loss three times larger than the take profit.
Pro tip: use a larger stop-loss only when you expect to close in profit most of the trades!
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
Funding Rate for FTX:BTCPERP (estimated) v0.1 Original credits goes to @Hayemaker, and @NeoButane for the TWAP portions of this script
By @davewhiiite, 2021-03-27
Version 0.1
Summary: The funding rate is the interest charged / credited to a perpetual futures trader for taking a long or short position. The direction of the funding rate is used as an indicator of trader sentiment (+ve = bullish; -ve = bearish), and therefore useful to plot in real time.
The FTX exchange has published the calculation of their funding rate as follows:
TWAP((future - index) / index) / 24
The formula here is the same, but expresses it in the more common % per 8hr duration:
funding = TWAP((future / index) - 1) * (8 / 24) * 100
For reference: future refers to the FTX bitcoin futures contract price (FTX:BTCPERP) and index is the spot price of bitcoin on the exchange (FTX:BTCUSD)
Additional notes:
Probably best to add to the indicator to a new pane, or as secondary axis
Plot this in combination with FTX:BTCPERP or FTX:BTCUSD, or chart of your choice to complement your bitcoin dashboard
Compare to funding rates published on ViewBase
questions? Ask me!
Bitcoin Funds PremiumDisplay the % premium of 4 different Bitcoin Funds relative to the price of Bitcoin in your current chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to calculate the true underlying value of the fund.
The difference is then compared to the price of Bitcoin in the chart you have open.
Note that the metrics change and therefore the graph is not accurate for long past timeframes.
If TradingView would expand their script language in a way to ingest CSV data from the funds website then this could be improved.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
Keltner + RSI Bitcoin Futures Trading [luca_badoer]This indicator combines the power of the Keltner channel with the power of the Relative Strength Indicator (RSI). It can help understand when the market is entering a bullish or a bearish trend.
Normally a Keltner channel would reference an Exponential Moving Average (EMA) of the price. In this case the Keltner Channel in the "Keltner + RSI Bitcoin Futures Trading " references the EMA of the 14-day RSI (white line). On top of that it overlays a 7-day RSI line (blue line). This produces some signals that are particularly useful in 2h, 4h and 1 day charts. The signals consist in the 7-day RSI line (blue line) crossing the upper (green) or lower (red) Keltner channels as well as the middle (white) line. Depending on the direction of the crossing (up or down) and the RSI level (from 0 to 100) at which the crossing takes place this produces bullish or bearish signals.
Examples:
- Bullish crossing: 7-day RSI (blue) crosses both the lower (red) and middle (white) lines upwards at a low to neutral RSI level (<70%)
- Bearish crossing: 7-day RSI (blue) cross both the upper (green) and middle (white) lines downwards at a high to neutral RSI (>30%)
Recommendations:
- Better to use it in 2h, 4h, and 1-day charts, thought it can also be used in lower timeframes. Confirmations of crossings in higher time-frames provide more certainty about the direction of the move.
- Use in combination with Heikin Ashi candles and volume indicators.
BTC Multi Exchange Perpetual PremiumThis script tracks the premium/discount of Bitcoin perpetual contracts at various exchanges.
The premium/discount is calculated against an index price. The index price is calculated from spot exchange prices and are weighted as follows:
Bitstamp:28,81%
Bittrex:5,5%
Coinbase: 38,07%
Gemini: 7,34%
Kraken: 20,28
The difference between this script and other available scripts, is that exciting script seems to only focus on one exchange. This script is also open source.
Bitcoin Funds OverlayOverlay the Net Asset Value per Unit (NAVPU) of 4 different Bitcoin Funds on your Bitcoin chart.
BTCC ETF
QBTC Fund
GBTC Trust
VBTC ETN
This indicator uses the metrics from the fund management websites to calculate the "Net Asset Value per Unit (NAVPU)" to display the true underlying value of the fund.
Note that the metrics can change and therefore the graph is not accurate for long past timeframes.
You can update the metrics for each fund in the settings dialogue.
The script will autodetect the currency pairs of your current graph and only display compatible funds:
BTC / USD will show BTCC.U, QBTC.U and GBTC
BTC / CAD will show BTCC and QBTC
BTC / EUR will show VBTC
The script should not show in other currency pairs so it will not mess up other charts you might switch to.
If you find bugs with this logic, please comment below so I can fix them.
Due to TradingViews "no-links in description" policy, you need to google each funds website yourself to find the current metrics. These search terms should help:
BTCC search "Purpose Bitcoin ETF"
QBTC search "3iq The Bitcoin Fund (QBTC)"
GBTC search "Grayscale® Bitcoin Trust"
VBTC search "VanEck Vectors Bitcoin ETN"
Flawless Victory Strategy - 15min BTC Machine Learning StrategyHello everyone, I am a heavy Python programmer bringing machine learning to TradingView. This 15 minute Bitcoin Long strategy was created using a machine learning library and 1 year of historical data in Python. Every parameter is hyper optimized to bring you the most profitable buy and sell signals for Bitcoin on the 15min chart. The historical Bitcoin data was gathered from Binance API, in case you want to know the best exchange to use this long strategy. It is a simple Bollinger Band and RSI strategy with two versions included in the tradingview settings. The first version has a Sharpe Ratio of 7.5 which is amazing, and the second version includes the best stop loss and take profit positions with a Sharpe Ratio of 2.5 . Let me talk a little bit more about how the strategy works. The buy signal is triggered when close price is less than lower Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. The sell signal is triggered when close price is greater than upper Bollinger Band at Std Dev 1, and the RSI is greater than a certain value. What makes this strategy interesting is the parameters the Machine Learning library found when backtesting for the best Sharpe Ratio. I left my computer on for about 28 hours to fully backtest 5000 EPOCHS and get the results. I was able to create a great strategy that might be one of TradingView's best strategies out on the website today. I will continue to apply machine learning to all my strategies from here on forward. Please Let me know if you have any questions or certain strategies you would like me to hyper optimize for you. I'm always willing to create profitable strategies!
P.S. You can always pyramid this strategy for more gains! I just don't add pyramiding when creating my strategies because I want to show you the true win/loss ratio based buying one time and one selling one time. I feel like when creating a strategy that includes pyramiding right off the bat falsifies the win rate. This is my way of being transparent with you all. Have fun trading!
Sharktank - Pi Cycle PredictionThe Pi Cycle indicator has called tops in Bitcoin quite accurately. Assuming history repeats itself, knowledge about when it might happen again could benefit you.
The indicator is fairly simple:
- A daily moving average of 350 ("long_ma" in script)
- A daily moving average of 111 ("short_ma" in script)
The value of the long moving average is multiplied by two. This way the longer moving average appears above the shorter one.
When the shorter one (orange colored) crosses above the longer (green colored) one, it could mean the top is in.
These moving averages rise at a certain rate. Using these rates we could try to estimate a possible crossover moment. That's exactly what this indicator does! It gives the user a prediction of when a crossover might happen.
Special thanks to:
- Ninorigo, for making his indicator public. This one uses his as a starting point.
- The_Caretaker, for coming up with this idea about calling a top. Yet, his is more price-based, this one is more time-based.
Multi Moving Average Crossing (by Coinrule)Moving Averages are among the most common trading indicators. They are straightforward to interpret and effective to use.
One of the limitations of using moving averages is they can provide buy and sell signals with a relatively high lag , making it very difficult to spot the lows and tops of the trend.
Moving averages calculated with a low number of periods like the MA9 (the average of the previous nine price periods) react very fast to price moves providing prompt signals. On the other side, more signals may end up with more false-signals and more trades in a loss.
On the contrary, moving averages calculated with a higher number of periods like the MA100 (which considers the previous one hundred price periods) give more reliable signals, but with a delay.
A system catching the crossing of the MA50 over the MA100 is a good compromise for successful long-term strategies. It provides, on average, reliable buy signals.
The Multi Moving Average Crossing Strategy tries to optimize the exit without waiting for the same opposite crossing (MA50 below MA100). It uses the MA9 crossing below the MA50, instead, to spot a better time for selling.
The setup is as follows.
BUY when the Moving Average 50 crosses above the Moving Average 100
SELL when the Moving Average 9 crosses below the Moving Average 50
The higher is the time frame to calculate the Moving Averages, the better is the overall performance of the strategy. The 4-hour (or 6-hour) time frame seems to be the best, even if it results in fewer trades. If you want to trade more still with good results, the 1-hour time is a good compromise.
Advantages of the strategy
This strategy seeks to catch those that are more likely relevant uptrends and close the trade relatively quickly. More trades mean more opportunities. This is especially effective if you run the strategy on all the available coins on the market, as you could do with Coinrule.
Generally, a Multi Moving Averages approach beats the classic crossing strategy involving only two Moving Averages. We backtested a sample of twenty trading pairs to assess the benefits empirically.
The results show that the Multi Moving Average Strategy
outperforms 13 out of 20 times
has 95% higher average return
has 67% higher median return
The strategy assumes each order to trade 30% of the available capital and opens a trade at a time. A trading fee of 0.1% is taken into account.
MA Multiplier with FibonacciThis implementation of the "2-Year MA Multiplier" gives you some control over the indicator, you can change the multiplier from it's default of 5, you can change the lookback from it's default of 730 days and I've also added three fibonacci traces between the moving average and it's multiple that you can play with. Oh and you can also choose the data source ('close' or 'hl2' make most sense).
The formula for this indicator was created by Philip Swift.
Thanks to @Pladizow for pointing me to this indicator.
MA200W buy sell BTC ColoredA script to help you plan your entrances and exits with beautiful colors for BTC. It just helps to better highlight the gap between the start of the week and the end.
It only work on Weekly.
Info :
Blue ... you can wait, enjoy your life
Green is when you buy
Yellow when you enter bull market
Orange is when you begin to take care of next week
Red when you begin to sell low part
White, if while a week you see white you can sell bigs bags, if it end with White you can close majors positions
Warning White may not appear, if second week after first Red week is not White you can sell large position
Good luck and take a breath
Scalping using RSI 2 indicator with TSLThis strategy implements a simply scalping using the RSI (calculated on two periods), the slopes of two MAs ( EMA or SMA ) having different lengths (by default, I use 50 and 200).
A trailing stop loss (%) is used.
Entry conditions:
.) Fast MA > Slow MA and Price > Slow MA and RSI < Oversold Threshold ------> go Long
.) Fast MA < Slow MA and Price < Slow MA and RSI > Overbought Threshold ------> go Short
Exit conditions:
.) Long entry condition is true and (close >= TP or close <= TSL ) ----> close short position
.) Short entry condition is true and (close <= TP or close >= TSL ) ----> close long position
The strategy performed best on Bitcoin and the most liquid and capitalized Altcoins but works excellent on volatile assets, mainly if they often go trending.
Works best on 3h - 4h time frame.
There's also an optional Volatility filter, which opens the position only if the difference between the two slopes is more than a specific value, which can be set in the study inputs. The purpose is not opening positions if the price goes sideways and the noise is way > than the signal.
Note:
.) the RSI length is 2;
.) the oversold Threshold is 90%;
.) the overbought Threshold is 10%;
.) by default, the trailing stop loss per cent is 1%;
.) by default, the fast MA length is 50;
.) by default, the slow MA length is 200;
.) by default, the MA used is EMA.
Cheers.
