Catching the Bottom (by Coinrule)This script utilises the RSI and EMA indicators to enter and close the trade.
The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The RSI can do more than point to overbought and oversold securities. It can also indicate securities that may be primed for a trend reversal or corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought situation. A reading of 30 or below indicates an oversold condition.
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average (SMA), which applies an equal weight to all observations in the period.
The strategy enters and exits the trade based on the following conditions.
ENTRY
RSI has a decrease of 3.
RSI <40.
EMA100 has crossed above the EMA50.
EXIT
RSI is greater than 65.
EMA9 has crossed above EMA50.
This strategy is back tested from 1 April 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include ETH on the 5m timeframe, BNB on 5m timeframe, XRP on the 45m timeframe, MATIC on the 30m timeframe and MATIC on the 2H timeframe.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Биткоин (Криптовалюта)
BTC's #4 Whale Sells [TheSecretGuy]Hello there !
I have been tracking BTC richests wallets for some time - and one of them seems to be aligning its sells pretty well with what the market is about to do.
BTC's Whale #3 (now Whale #4) has been selling his BTC in very crutial moments - therefore I felt that converting this into an indicator will give us a pretty visual feedback of what that Whale expects to happen at a given point.
In order to do that, I have listed manually all of his sells (dates) until today and placed a vertical line on the chart on each of these dates.
This sadly can't be automated as Pinescript language doesn't allow to reach outter data - I'd need to update this manually.
Hope this helps you a bit, Cheers!
Money Supply Index (MSI) by zdmreThe primary objective of the states monetary policy is to maintain price stability with sustainable maximum economic growth. In anticipation of higher inflation , the Central Banks raise short-term interest rate thereby to reduce money supply. Conversely, the Central Banks reduce short-term interest rate to inject additional money into the economy in apprehension of unleashing recessionary forces. The stock markets usually respond negatively to interest rate increases and positively to interest rate decreases. The linkages between money market and stock market a wealth effect due to a change in money supply disturbs the equilibrium in the portfolio of investors.
This index indicates the long-run and short-run dynamic effects of broad money supply (M2) on U.S. stock market (this symbol is optional (Bitcoin, Gold or Oil or other markets etc.)).
#DYOR
BTC Twitter SentimentBTC Twitter Sentiment - shows the total numbers of all negative, neutral and positive Bitcoin related tweets.
On default settings, the tweets are plotted in red (negative) white (neutral) as well as green (positive). The three charts are stacked so the total number of tweets is easily discernible.
Furthermore, there's an optional smoothing setting in the options.
The Twitter Sentiment data is provided daily by IntoTheBlock; Since data is only updated once a day the graph might look chunky on lower timeframes, even with smoothing.
Stable Coin Dominance RSIThe Stable Coin Dominance RSI evaluates the relative dominance of stable coins within the crypto ecosystem as compared to the total market cap. As stable coin dominance rises, it suggests that market participants are exiting out of crypto assets and into dollar pegged stable coins. The opposite is true inversely; as stable coin dominance diminishes, it suggests that market participants are divesting out of stable coins and into crypto assets.
Stable coin dominance can be expressed as a percentage of the total market cap as follows: Stable Coins / Total Crypto. The Stable Coin Dominance RSI indicator uses this percentage and converts it into an oscillator using the formula for the relative strength index.
The calculation for the indicator is: RSI
The users can select from USDT and USDC, two most dominant stable tokens by market cap, and compare their relative dominance against Bitcoin and the alt market.
The Stable Coin Dominance RSI may be useful on larger timeframes when attempting to identify the market’s appetite for risk along with oversold and undersold readings which may indicate pivots or turn arounds along market extremes.
The limitation of the indicator lies in the fact that stable coins continue to make up a growing percentage of the total market cap over time and thus comparisons to earlier cycles will not be a perfect apples-to-apples evaluation. This being said, the smoothing function of the RSI’s look back helps to moderate these comparative differences.
BTC spot volumeIndicator with aggregated volume for all the most actively traded bitcoin spot markets.
Can be denominated in either US dollars or the number of coins traded.
Can be displayed as stacked volume or an index that shows the percentage market share each market has.
In the settings you can exclude any market so that it only shows the individual and total volume of the markets you're interested in.
The currency it's traded against is always specified (e.g. USDT, BUSD, ...).
It's public and free for anyone to use.
BTC perpetual swaps volumeIndicator with aggregated volume for all the most actively traded bitcoin perpetual swaps.
Can be denominated in either US dollars or the number of coins traded.
Can be displayed as stacked volume or an index that shows the percentage market share each contract has.
In the settings you can exclude any contract so that it only shows the individual and total volume of the markets you're interested in.
"Linear" or "inverse" refers to the type of perpetual swap contract it is.
Inverse contracts use coin margin, so in this case BTC.
Linear contracts use some type of dollar equivalent margin like USDT for example.
The margin is always specified for the linear contracts.
It's public and free for anyone to use.
BTC Miner Netflows with smoothingBTC Miner Netflows with smoothing - shows the difference between Miner Inflow and Miner Outflow.
Miner income, sales as well as holdings, are generally considered to have a huge market impact, by analyzing miner Netflows, users can gauge if overall miners are accumulating or selling; high positive values point to accumulation, while negative numbers indicate net selling.
Data queried from IntoTheBlock.
BTC Hashrate ribbonsBTC Hash Rate ribbons / Hash Rate cross
This strategy goes long when BTCs Hash Rate 30 day moving average crosses above the 60 day moving average, signifying that miner capitulation is over and recovery has started.
When the opposite signal is given, which signifies the beginning of miner capitulation, the strategy goes short (or flat, depending on configuration). This is generally considered the most popular Hash Rate related strategy.
The strategy is based on this medium article: medium.com
Thanks to the recent integration of IntoTheBlock data into Tradingview, we can now effortlessly show Hash Rate data on our chart,
keep in mind however, that IntoTheBlock doesn't provide Hash Rate data on timeframes below daily, so this strategy is based used on the daily, weekly or even monthly time frames.
Hash Rate definition:
The Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network. The hash rate is an indicator of how healthy the Bitcoin network is at any given time, and is driven primarily by difficulty mining and the number of miners. Generally, a high hash rate is considered a good thing.
More precisely, the Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network.
BTC Hashrate with smoothingBTC Hashrate with smoothing - thanks to the recent integration of IntoTheBlock data into Tradingview, we can now effortlessly show Hashrate data on our chart.
One popular use for Hashrate is to buy when the 30 day moving average crosses above the 60 day moving average, signifying that miner capitulation is over and recovery has started.
Definition
The Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network. The hash rate is an indicator of how healthy the Bitcoin network is at any given time, and is driven primarily by difficulty mining and the number of miners. Generally, a high hash rate is considered a good thing.
More precisely, the Bitcoin hash rate is the number of times per second that computers on the Bitcoin network are hashing data to verify transactions and perform the encryption that secures the network.
Ichimoku Cloud and Bollinger Bands (by Coinrule)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The Ichimoku Cloud was developed by Goichi Hosoda, a Japanese journalist, and published in the late 1960s. It provides more data points than the standard candlestick chart. While it seems complicated at first glance, those familiar with how to read the charts often find it easy to understand with well-defined trading signals.
The Ichimoku Cloud is composed of five lines or calculations, two of which comprise a cloud where the difference between the two lines is shaded in.
The lines include a nine-period average, a 26-period average, an average of those two averages, a 52-period average, and a lagging closing price line.
The cloud is a key part of the indicator. When the price is below the cloud, the trend is down. When the price is above the cloud, the trend is up.
The above trend signals are strengthened if the cloud is moving in the same direction as the price. For example, during an uptrend, the top of the cloud is moving up, or during a downtrend, the bottom of the cloud is moving down.
The Bollinger Bands are among the most famous and widely used indicators. A Bollinger Band is a technical analysis tool defined by a set of trendlines plotted two standard deviations (positively and negatively) away from a simple moving average ( SMA ) of a security's price, but which can be adjusted to user preferences. They can suggest when an asset is oversold or overbought in the short term, thus providing the best time for buying and selling it.
This strategy combines the Ichimoku Cloud with Bollinger Bands to better enter trades.
Long orders are placed when these basic signals are triggered.
Long Position:
Tenkan-Sen is above the Kijun-Sen
Chikou-Span is above the close of 26 bars ago
Close is above the Kumo Cloud
The closing price is greater than the upper standard deviation of the Bollinger Bands
Short Position:
Tenkan-Sen is below the Kijun-Sen
Chikou-Span is below the close of 26 bars ago
Close is below the Kumo Cloud
The upper standard deviation of the Bollinger Band is greater than the closing price
The script is backtested from 1 January 2022 and provides good returns.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
This script also works well on BTC 30m/1h, ETH 2h, MATIC 2h/30m, AVAX 1h/2h, SOL 45m timeframes
TARVIS Labs - Bitcoin Macro Bottom/Top SignalsSCRIPT DESCRIPTION
This is a script specifically written to help provide indicators from a macro view. This script is best run on the 1 day interval on Bitstamp's $BTCUSD chart. It helps indicate when to accumulate bitcoin, and when its in a bull run when there are local tops, strong top warnings, and a signal to exit a bull run. This is described further below.
If you don't have interest in trading on the way to the top I suggest turning off the following indicators in the settings of the indicator:
- Opportunity To Buy Back In Indicator
- Local Top Near Bull Run Top Indicator
ACCUMULATION ZONE INDICATOR - LIGHT GREEN
Description
When we look at the history of Bitcoin every bottom has crossed below the 100 week EMA. Once it does its accompanied by hash ribbon cross with miner capitulation. After that is the prime time to accumulate as theres a clearer signal the bottom is in. Specifically, a signal to look for is the 14 day MACD/signal cross and the 14 day MACD continuing to stay above the signal until the price returns above the 100 week EMA. This is prime accumulation territory.
Strategy for Usage
A good strategy to use when accumulating the bottom is dollar-cost averaging over a 30 day period. The accumulation zone can last longer than 30 days but 30 days is a good range of time to DCA.
STRONG BUY IN ACCUMULATION ZONE INDICATOR - DARK GREEN
Description
We can add to the bottoming signal by looking for post-downtrend reversals inside the bottoming signal. We do this by using a 9/19 daily cross.
Strategy for Usage
These post-downtrend reversals can potentially provide better targeted days for accumulation than the broader bottoming signal and can be used to add more on that day than on an average day for the dollar cost average strategy. Say for example, use 1/3 of funds on these days rather than 1/30th.
OPPORTUNITY TO BUY BACK IN INDICATOR - BLUE
Description
When the 1d 18 EMA > 1d 63 EMA and the 12/52 1d crosses. These together provide good buy opportunities to buy bitcoin.
Strategy for Usage
If you happen to find yourself out of the market from your own TA or a trade, this signal can provide a buy opportunity to reenter the market if you're out of it.
BULL RUN LOCAL TOP INDICATOR - ORANGE
Description
We will similarly use the 100 week EMA to determine trend reversal into a bull run. When we see the 100 week EMA uptrending, we can begin to look for local tops using the 9/19 daily MACD/signal bearish cross along with the 12 EMA having a negative slope, which could be the beginning signal for a local top.
Strategy for Usage
This is a rather light indicator, but can be used in tandem with your own technical analysis to determine if you want to reenter after you exit from its signal.
LOCAL TOP NEAR BULL RUN TOP INDICATOR - RED
Description
When the 100 week EMA is in an uptrend we can look for significant loss of momentum in order to determine if a local top is in near a bull run top. Similar to the Bull Run Local Top Indicator, this strategy uses a MACD/signal cross but instead uses the 30/65 day EMAs.
Strategy for Usage
Ideally the right strategy to use here is to exit the market when this indicator starts. When the indicator ends if the "End of Bull Run Indicator" is not showing on the chart you can buy back into the market.
TOP IS LIKELY IN INDICATOR
Description
When the 100 week EMA is in a very strong uptrend and the 9/19 weekly MACD/signal bearish cross occurs, and the 63 EMA begins to downtrend.
Strategy for Usage
This signal typically accompanies the "Local Top Near Bull Run Top Indicator" therefore if you're following the strategy you would likely already be out of the market, but if you're not and this signal fires its a strong signal the top is in and we're likely going to start seeing a strong retrace. This is typically right before we see the "End of Bull Run Indicator". There is only one occurrence where it wasn't followed by a large drop & the "End of Bull Run Indicator" and that was in the 2017 bull run where there were many strong retracements post local top. The likelihood we see that again is low, but if it were to happen you can buy back into the market when the "Top is Likely In Indicator" and the "Local Top Near Bull Run Top Indicator" are not firing.
TOP IS LIKELY IN INDICATOR
Description
When the 100 week EMA is in a strong uptrend and the 9/19 weekly MACD/signal bearish cross occurs, and the 63 EMA begins to downtrend.
Strategy for Usage
This signal typically accompanies the "Local Top Near Bull Run Top Indicator" therefore if you're following the strategy you would likely already be out of the market, but if you're not and this signal fires its a strong signal the top is in and we're likely going to start seeing a strong retrace. This is typically right before we see the "End of Bull Run Indicator". There is only one occurrence where it wasn't followed by a large drop & the "End of Bull Run Indicator" and that was in the 2017 bull run where there were many strong retracements post local top. The likelihood we see that again is low, but if it were to happen you can buy back into the market when the "Top is Likely In Indicator" and the "Local Top Near Bull Run Top Indicator" are not firing.
END OF BULL RUN INDICATOR
Description
When the 100 week EMA is in an uptrend and the 1d 18 EMA crosses the 1d 63 EMA.
Strategy for Usage
When the 100 week EMA is a strong uptrend and the 18/63 cross occurs the top is very likely in. It has occurred in every bull run top leading to the bear market.
Crypto Force IndexIntroduction
The Crypto Force Index (CFI) indicator helps us understand the current strength and weakness of the price. It is very useful when used on high timeframes for investment purposes and not for short term trading.
To determine the strength and weakness of the price, a level grid based on the RSI indicator is used.
Based on the RSI value, red circles (oversold condition) and green circles (overbought condition) appear under the price candles. The more intense the color of the circles, the more that the current price is in an overbought or oversold condition.
The signal levels are all configurable to adapt the indicator across multiple instruments and markets.
The default configuration have been designed to obtain more accurate signals on Ethereum and Bitcoin, using the weekly timeframe.
Why Crypto Force Index?
The Crypto Force Index (CFI) is the consequence of my study of investments based on the accumulation plan. I wanted to demonstrate that I am improving the returns of the classic DCA ( dollar cost averaging ) and VA ( value averaging ).
After finding my own model of an accumulation plan, I decided to create the Crypto Force Index to help me visually enter the market.
The formulas of the indicator are very simple, but my studies confirm the power of this tool.
How are the signals to be interpreted?
The Crypto Force Index helps us to highlight the overbought and oversold areas, with the use of circles under the price of candles and with a thermometer inserted at the base of the graph, where all the phases of strength and weakness are highlighted.
As soon as the red circles start to appear on the chart, that may be a good time to enter LONG to the market and start accumulating. If the circles are green, we can consider decreasing the current exposure by selling part of your portfolio, or decide to stay flat.
I personally use these signals on the weekly timeframe, to decide to feed my accumulation plan at the beginning of each month.
I hope it can be of help to you! Please help me improve the Crypto Force Index! :)
Blockchain Fundamentals - Active Address Sentiment Osc. [CR]Blockchain Fundamentals: Active Address Sentiment Oscillator AASO
Back with another script today, this one is a useful tool in helping to determine bitcoins value. We are looking at 2 data sources: the daily active addresses on the BTC blockchain, and the daily returns of BTC.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
There is an interesting relationship that you can see by comparing the two timeseries. But for us to create a good indicator we first need to normalize the data. So we look at the percent change over the past 28 days for each metric (DAA and price).
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
We then calculate standard deviation bands around the DAA metric. We finalize them by averaging the bands over a 28 day period.
When the Price series (yellow line) is higher than the SD bands BTC is considered overvalued or price is overheated. A pullback could be expected soon. When the Price series is below the SD bands BTC is considered undervalued or price is oversold.
THIS INDICATOR WILL ONLY GIVE YOU THE CORRECT RESULTS ON THE DAILY TIMEFRAME
This tool doesnt give signals on the one minute chart or tell you exactly when to buy or sell. BUT what it does do is act as a convenient macro sentiment indicator that is not based completely upon price.
In an attempt to narrow down the really juicy areas, if you seen the background color highlights with white, that means its likely a top or bottom. At the very least on a local sense and many times in a cyclical macro sense as well. It also narrows down the signal to a generally more profitable area.
This indicator is not meant to be used on timeframes other than daily (did I mention that already?). I am lazy and did not code the calculations to be MTF (which is why you have to use on the daily chart). If you want to code this, please forward it on to me and I will post an update with a heartfelt credit to you.
ALMA/EMA/SRSI Strategy + IndicatorBack with another great high hit rate strategy!!
Disclaimer* This strategy was sampled using source code written by @ClassicScott , as referred to in the script, there is a clear line where the source code was scripted by myself.
This Strategy consists of three key factors, the ALMA, EMA crossover, and a Stochastic Rsi
ALMA: The Alma is the step line shown, turning green and red at select times. This average value gives general oversight of the macro movement of price action. and this particular one was coded by Mr.ClassicScott.
EMA crossover: At the input screen you are given an option of the fast and slow ema's. The default is solely for the hit rate and correlation to the Alma of this strategy. The arrows you see depicted on the chart are the crossover events happening.
Stochastic Rsi: The Stochastic Rsi is a stochastic value, using data sampled from the rsi. The use of this indicator in my strategy is to prevent entries when too overbought and oversold, as well as closures and vice versa, to prevent holding bags either way.
Fixed % TP: In the input screen you are given a take profit and stop loss percentage, for good R/R the hit rate will take a notch down, but with no R/R it will be near perfect.
How to use this:
Add it to your chart to get the strategy inputs. (The strategy is really only useful on a 15min TF. However the indicator within it can be used on anything at anytime!)
Watch the yellow and aqua moving averages, these are your ema's and crossover's will trigger signals based on your integer inputs.
Find Correlation between other leading indicators, as well as crossover's down/up and a red/green alma.
DO NOT use the arrows as buy/sell signals. These are simply to show ema's are crossing under or over. Momentum indicator's paired with this can be useful to determine if it could be a buy signal or sell signal.
Cheat Code's Notes:
Almost at 1000 boosts!!! I appreciate the support from everyone and I will keep trying my best to deliver quality strategies for the people.
-Cheat Code
BYBIT:BTCUSDT
Blockchain Fundamentals: Electricity Cost of BTC [CR] Blockchain Fundamentals: Electricity Cost of BTC
After a hiatus, now a return to publishing tools and scripts for the community. This is my first script in over and year, and I have a number more coming soon as well! (so Stay Tuned!)
This is a simple calculator to estimate the cost of Bitcoin miners to mine one bitcoin. It works on all timeframes (doesnt have to be on daily).
By entering the inputs of total TH's, kWh used, cost of electricity per kWh (in USD cents) we can generate the electricity cost.
But miners also have other costs of operation including HVAC, maintenance, rent, etc. In light of that we include a multiplier that accounts for these extra costs. First, type in what percent of your total operating costs come from the electricity. Then check the enable total cost plot option and you will also see total costs in addition to electricity costs.
Its a simple model and gives anyone curious a starting point for their own testing and research.
Munich's Momentum Wave V2MUNICH'S MOMENTUM WAVE VERSION 2 IS LIVE!!!
There are a few big things to note with this one.
I decided to upload this as an entirely new script due to the number of changes differing from the first version, but as the last one, this will still work on ANY TIMEFRAME, ANY ASSET CLASS, ANY PRICE! .
This momentum wave indicator now will give you data for when trend could turn, and two momentum indicators to help you decide when to take an entry.
First off,
*I have added an alma ma (alma) that will track momentum alongside price action and further lead the indicator consisting of the Munich waves.
* The background feature will track the price using a method derived from the Bollinger bands, after calculations, it will color the background based on the average of the momentum's ema's, the alma ma, and also the alma in comparison to the alma's value pre offset ( the offset is 3, following the basis).
*There are now 5 basis values given from the increase in ema samples.
If anyone has any questions feel free to pm me or comment below. Thank you guys for the support! :)
INDEX:BTCUSD TVC:NDQ AMEX:SPY BITSTAMP:ETHUSD BINANCE:BTCUSDT FX:USDJPY NASDAQ:AAPL
München's Momentum WaveMUNICH'S MOMENTUM WAVE:
This momentum tracker has features sampled from Madrid's moving average ribbon but has differentiated many values, parameters, and usage of integers. It is derived using momentum and then creates moving averages and mean lengths to help support the strength of a move in price action, and also has the key mean length that helps determine HL/LH or rejections into trend continuation. This indicator works on ALL TIME FRAMES, ALL ASSET CLASSES ON ALL SETTINGS!!
HOW DO I USE IT?
*First off, I have arranged the input settings into groups based on the parts of the indicator it affects.
*You want to use the aqua/white/yellow (Munich's line) as your leading indicator, this is a combined average of the MoM indicator.
* When using Munich's line you want to look at the relation to the mean line (the flat line that adjusts based on price action. You will often see rejections of this line into trend continuation. I personally have caught perfect LH/HL bounce trades off of this indicator.
* Use the Background and other colored moving averages to help pre-determine moves based on the -3 offset value of Munich's line. This was by design not to create 'accurate' results, but to help predict momentum swings based on sharper moves in price action better than if all values lined up to the current bar.
Cheat Code's Notes:
I hope you guys find this indicator to be useful, this is most likely the best indicator that I have written. Simply for the fact it is useful on any chart, any timeframe with any setting. If you guys have any issues with it, shoot me a pm or drop a comment. Thanks!
-CheatCode1
BINANCE:BTCUSDT BITSTAMP:ETHUSD BITSTAMP:BTCUSD PEPPERSTONE:JPYX TVC:DXY TVC:NDQ AMEX:SPY
Close v Open Moving Averages Strategy (Variable) [divonn1994]This is a simple moving average based strategy that works well with a few different coin pairings. It takes the moving average 'opening' price and plots it, then takes the moving average 'closing' price and plots it, and then decides to enter a 'long' position or exit it based on whether the two lines have crossed each other. The reasoning is that it 'enters' a position when the average closing price is increasing. This could indicate upwards momentum in prices in the future. It then exits the position when the average closing price is decreasing. This could indicate downwards momentum in prices in the future. This is only speculative, though, but sometimes it can be a very good indicator/strategy to predict future action.
What I've found is that there are a lot of coins that respond very well when the appropriate combination of: 1) type of moving average is chosen (EMA, SMA, RMA, WMA or VWMA) & 2) number of previous bars averaged (typically 10 - 250 bars) are chosen.
Depending on the coin.. each combination of MA and Number of Bars averaged can have completely different levels of success.
Example of Usage:
An example would be that the VWMA works well for BTCUSD (BitStamp), but it has different successfulness based on the time frame. For the 12 hour bar timeframe, with the 66 bar average with the VWMA I found the most success. The next best successful combo I've found is for the 1 Day bar timeframe with the 35 bar average with the VWMA.. They both have a moving average that records about a month, but each have a different successfulness. Below are a few pair combos I think are noticeable because of the net profit, but there are also have a lot of potential coins with different combos:
It's interesting to see the strategy tester change as you change the settings. The below pairs are just some of the most interesting examples I've found, but there might be other combos I haven't even tried on different coin pairs..
Some strategy settings:
BTCUSD (BitStamp) 12 Hr Timeframe : 66 bars, VWMA=> 10,387x net profit
BTCUSD (BitStamp) 1 Day Timeframe : 35 bars, VWMA=> 7,805x net profit
BNBUSD (Binance) 12 Hr Timeframe : 27 bars, VWMA => 15,484x net profit
ETHUSD (BitStamp) 16 Hr Timeframe : 60 bars, SMA => 5,498x net profit
XRPUSD (BitStamp) 16 Hr Timeframe : 33 bars, SMA => 10,178x net profit
I only chose these coin/combos because of their insane net profit factors. There are far more coins with lower net profits but more reliable trade histories.
Also, usually when I want to see which of these strategies might work for a coin pairing I will check between the different Moving Average types, for example the EMA or the SMA, then I also check between the moving average lengths (the number of bars calculated) to see which is most profitable over time.
Features:
-You can choose your preferred moving average: SMA, EMA, WMA, RMA & VWMA.
-You can also adjust the previous number of calculated bars for each moving average.
-I made the background color Green when you're currently in a long position and Red when not. I made it so you can see when you'd be actively in a trade or not. The Red and Green background colors can be toggled on/off in order to see other indicators more clearly overlayed in the chart, or if you prefer a cleaner look on your charts.
-I also have a plot of the Open moving average and Close moving average together. The Opening moving average is Purple, the Closing moving average is White. White on top is a sign of a potential upswing and purple on top is a sign of a potential downswing. I've made this also able to be toggled on/off.
Please, comment interesting pairs below that you've found for everyone :) thank you!
I will post more pairs with my favorite settings as well. I'll also be considering the quality of the trades.. for example: net profit, total trades, percent profitable, profit factor, trade window and max drawdown.
*if anyone can figure out how to change the date range, I woul really appreciate the help. It confuses me -_- *
Dap's Oscillator- Short Term Momentum and Trend. BINANCE:BTCUSDT BYBIT:BTCUSDT BYBIT:ETHUSDT BINANCE:ETHUSDT
DAP's OSCILLATOR:
WHAT IS IT?
This Oscillator was created to inspire confidence in the short-term trend of traders. This will work very well with a volatility metric (I recommend BBWP by @The_Caretaker)
WHAT IS IT MADE OF?
1. Consists of a series of equations (mainly the difference between simple to exponential moving averages) and Standard deviations of these moving average differences (length equivalent to the length of sampled ma's)
2. These equations are then boiled down through an averaging process array, after averaging the covariants are equated against the variants of the positive side of the array. This is what is presented as the aqua line.
3. The RC average (yellow) is the sma following the DAP'S Oscillator at a specified length
4. The most important part of this indicator is simply the momentum oscillator represented as a green or red line based on the value relative to the Oscillators.
HOW DO I USE THIS?
As I mentioned before mixed with a volatility metric, it should set you up for a good decision based on short-term trends. I would say to be careful for periods of consolidation, with the consolidation the momentum often meets hands with DAP's Oscillator and can cause fake-outs. You want to spot divergences from the price to the momentum difference, as well as room to work down or upward to secure a good entry on a position.
CHEAT CODE'S NOTES:
I appreciate everyone who has boosted my previous scripts, it means a lot. If you want to translate words to pine script onto a chart, feel free to PM me. I would be happy to help bring an indicator to life. I may take a quick break but will be back shortly to help create more cheat codes for yall. Thanks!
-Cheat Code
PlanB Quant Investing 101 v2This script has been Inspired by PlanB Article Quant Investing 101.
With this script, I implemented Plan B strategy outlined in that article, trying to reproduce his findings independently and allowing TradeView Users to do the same.
PlabB is aware of this effort, and he's positive about it, via Twitter commenting, liking and sharing of this resource .
Trading Idea:
This script uses RSI index to determine the Buy And Sell signal.
As per the original PlanB article:
IF ( RSI was above 90% last six months AND drops below 65%) THEN sell,
IF ( RSI was below 50% last six months AND jumps +2% from the low) THEN buy, ELSE hold
My simple code is aimed at replicating his study in Pine so that every TV user can check his signal.
Trade HourThis script is just finds the best hour to buy and sell hour in a day by checking chart movements in past
For example if the red line is on the 0.63 on BTC/USDT chart it mean the start of 12AM hour on a day is the best hour to buy (all based on
It's just for 1 hour time-frame but you can test it on other charts.
IMPORTANT: You can change time Zone in strategy settings.to get the real hours as your location timezone
IMPORTANT: Its for now just for BTC/USDT but you can optimize and test for other charts...
IMPORTANT: A green and red background color calculated for show the user the best places of buy and sell (green : positive signal, red: negative signals)
settings :
timezone : We choice a time frame for our indicator as our geo location
source : A source to calculate rate of change for it
Time Period : Time period of ROC indicator
About Calculations:
1- We first get a plot that just showing the present hour as a zigzag plot
2- So we use an indicator ( Rate of change ) to calculate chart movements as positive and negative numbers. I tested ROC is the best indicator but you can test close-open or real indicator or etc as indicator.
3 - for observe effects of all previous data we should indicator_cum that just a full sum of indicator values.
4- now we need to split this effects to hours and find out which hour is the best place to buy and which is the best for sell. Ok we should just calculate multiple of hour*indicator and get complete sum of it so:
5- we will divide this number to indicator_cum : (indicator_mul_hour_cum) / indicator_cum
6- Now we have the best hour to buy! and for best sell we should just reverse the ROC indicator and recalculate the best hour for it!
7- A green and red background color calculated for show the user the best places of buy and sell that dynamically changing with observing green and red plots(green : positive signal, red: negative signals) when green plot on 15 so each day on hour 15 the background of strategy indicator will change to 15 and if its go upper after some days and reached to 16 the background green color will move to 16 dynamically.
