VWMA Trend FilterHere's a simple tool for determining long term trend direction using two Volume Weighted Moving Averages (VWMA). The VWMA's emphasis on volume often makes it a better measurement for trend direction than the more popular Exponential Moving Average (EMA).
Trend direction is determined by comparing a fast and slow VWMA. The default length for the fast VWMA is 50 periods, while the slow uses a default length of 200. Both of these lengths can be modified in the input options menu. The default source for the VWMA's is HLC3((high + low + close) / 3).
If the fast VWMA is greater than the slow VWMA, then the trend is bullish and the background color is green. If the fast VWMA is less than the slow VWMA, then it is bearish and the background color is red.
We included an option to change the candle color based on whether the VWMA's indicate a bullish or bearish trend as well.
Overall, this is one of those utility tools that we like to use as an overlay over the main price chart and in conjunction with other signal generating indicators. Its purpose isn't to generate buy and sell signals, but it works well as a visual confirmation tool to help traders gauge trend direction.
BTCUSD
Sentiment Zone OscillatorHere's a (forgotten but still useful) Sentiment Zone Oscillator. The Sentiment Zone Oscillator takes a sum of positive price candles over a user-specified window length. Normally, a triple exponential moving average of the sum is used, but we opted to just go with a double EMA for the sake of more responsiveness. When the histogram is green it is bullish and red/pink means bears.
Double EMA + ATR Trend FollowerThis indicator consists of a fast and slow EMA (default lengths are 50 and 9 periods) and an upper and lower ATR band. When combined, this combination gives traders an accurate picture of both trend strength and direction.
Users can modify the lengths of the fast and slow EMA , as well as the multipliers and length for the upper and lower ATR bands.
Cryptosniper 1 2019Primera version de Cryptosnipper versión 2019
Recomendación utilizarlo con el cruce de la linea macd sobre signal en el nivel 0.00
Kairi Relative Index Leading IndicatorHere is a leading indicator based on the relatively obscure Kairi Relative Index. The Kairi comes from Japan and is similar to the popular RSI, although it is believed that it predates the RSI significantly.
The Kairi measures the difference between the current price and its SMA as a percentage of the moving average.
We made a few modifications to the Kairi to improve its timing and balance its sensitivity. First, we calculated a 'fast' and 'slow' Kairi Relative Index. To do this, it calculates the difference between the current price and a SMA with a length of 7 periods for the fast Kairi. Then, the difference between the current price and an SMA of length 24 is calculated for the slow Kairi.
The big modification is using a 25 period SMA of slow Kairi Relative Index values as the threshold for buy and sell signals. When the fast Kairi line crosses above the white line(the threshold) it is considered a bullish signal, while a bearish signal comes when it crosses back below the same white line. This solved the issue with the Kairi having slower reaction time than the RSI. As the chart shows, this setup allowed it to catch not only major trends but also predict unexpected price spikes.
Users can adjust all 3 lengths, as well as adjust the option to have the slow Kairi displayed on the chart(shown in second pane).
Double Accelerator OscillatorThis is a modified version of Bill Williams' Accelerator. The Accelerator measures the difference between the Awesome Oscillator(another Williams indicator) and its 5 day SMA.
This script plots 2 accelerators rather than 1. Users can define the lengths of the fast and slow SMA's used in the Awesome Oscillator calculation by adjusting the options in the input menu.
We set the default the lengths of the fast and slow SMA's used in the first Awesome Oscillator calculation as 34 and 7 periods. Then to find the Accelerator Oscillator, the difference between the Awesome Oscillator and its 7 period SMA is calculated. The second Accelerator uses shorter window lengths than the first. The fast SMA length is 5 by default and the slow SMA length is 18. Finally, the length of the Awesome Oscillator SMA used to calculate the second Accelerator Oscillator is 3.
By utilizing two Accelerator Oscillators with increasingly shorter window lengths, this indicator identifies changes in momentum very well.
The red and green histogram represents the first Accelerator Oscillator. It is green when the Accelerator is increasing and red when it is decreasing. I found this layout to be more practical than the standard, which plots the AC as green when it is greater than 0 and red when less than zero. The second Accelerator Oscillator is plotted as the bright green and pink circle line. It uses the same coloring conditions as above.
MACD Profit CandlesThis tool is simple yet very effective. It creates new candles on the chart based on the MACD.
Candles are green when MACD is increasing and red when it is decreasing. All lengths can be adjusted in the input menu and there is an option to plot the signal line.
The rules for using it are pretty simple:
1.Buy on Green
2.Sell on red
~Happy Trading~
Vortex Trend Tracker 2.0 + RSIHere's an updated version of our Vortex Trend Tracker indicator.
Here's the link to the original if anyone wants to read more about the Vortex or see the first version:
We've added in 4 rsi's of varying lengths for this second version(2 fast and 2 slow) that create the background color effect.
Triple Coppock CurveThe Coppock Curve is a zero-centered momentum oscillator that relies primarily on rate of change calculations. The Coppock Curve in its most basic form is already a great indicator, especially for spotting shifts in momentum. But, we wanted to see how we could modify it to get some better performance out of it.
As the ‘cop’ function demonstrates, the Coppock Curve has a pretty simple calculation. The first step is to calculate the rate of change at a longer and shorter window length. Next, the sum of the two rate of change values is calculated and finally a weighted moving average of a user defined length is calculated(this is the Coppock Curve).
The ‘cop()’ function set the foundation to allow us to implement our modifications. As you can see in the graph, there are 3 different lines (2 histogram and 1 normal line) comprising the Coppock values based on the rate of change of high, low, and closing prices. We liked this layout because it allows traders to easily identify the curve’s pivots and the balance of negative vs. positive momentum.
The Coppock Curve based on high prices is plotted as the teal histogram, wile the pink histogram represents the Coppock Curve of low prices. The curve based on closing prices is the red and green alternating line plotted on top of the two histograms.
We included some notes on the chart to help with interpreting the three curves.
There are two common approaches traders can take when trading with the indicator:
1. Trade based on closing price curve: Go long when line changes from bearish(red) to bullish(green). Then, go short when same line changes from bullish to bearish.
2. Trade based on crossings of the zero-line. This could be based on the high, low, or closing price curves, but closing price is the safest bet. So, go long when it crosses from negative into positive territory and short when it crosses under the zero line from positive into negative territory.
Bitcoin Prices InfoPanelHello traders
This script is based on the great Ricardo Santos InfoPanel script
It will display all the Bitcoin prices
The script is public so you can adjust according to your own needs
PS
You might have to scroll right on your chart to see the panel
Enjoy :)
Dave
ALMA Trend DirectionHere is a very simple tool that uses the Arnaud Legoux Moving Average(ALMA). The ALMA is based on a normal distribution and is a reliable moving average due to its ability to reduce lag while still keeping a high degree of smoothness.
Input Options:
-Offset : Value in range {0,1} that adjusts the curve of the Gaussian Distribution. A higher value will result in higher responsiveness but lower smoothness. A lower value will mean higher smoothness but less responsiveness.
-Length : The lookback window for the ALMA calculation.
-Sigma : Defines the sharpe of the curve coefficients.
I find that this indicator is best used with a longer length and a 4 Hour timeframe. Overall, its purpose is to help identify the direction of a trend and determine whether a security is in an uptrend or a downtrend. For this purpose, it is best to use a lower offset value since we are looking to identify long-term, significant price movement rather than small fluctuations.
The Chart:
The ALMA is plotted as the aqua and pink alternating line. It is aqua when bullish and pink when bearish.
The low price for each candle is then compared to the ALMA. If the low is greater than the ALMA, then there is a bullish trend and the area between the candles and ALMA is filled green. The area between the ALMA and candles is filled red when the low price is less than the ALMA.
The difference between the slow ALMA and candles can reveal a lot about the current market state. If there is a significant green gap between the two, then we know that there is a significant uptrend taking place. On the other hand, a large red gap would indicate a significant downtrend. Similarly, if the gap between the two is narrowing and the ALMA line switches from aqua to pink, then we know that a reversal could be coming shortly.
~Happy Trading~
Vortex Trend TrackerThough it may sound complex, the Vortex Indicator is essentially an uptrend line and a downtrend line. The vortex indicator can be used for a variety of purposes, including tracking the strength of trends, identifying/anticipating reversals, and generating entry/exit signals. It’s calculation is shown in the open-source code below.
To reduce the number of whipsaws produced by the indicator, we used an Exponential Moving Average of vmPlus and vmNegative values with a default length of 10. Decreasing this length will result in a more responsive vortex at the cost of more whipsaws and false signals.
The chart shows the absolute value of the difference between the uptrend and downtrend line displayed as the main histogram.
If the uptrend line is greater than the downtrend (thus indicating positive movement), then the histogram bars will be either light green or dark green. If the uptrend line has just now crossed the downtrend line, then the bar will be dark green. Bars will also be dark green when the uptrend line is greater than the downtrend line and the uptrend line is increasing. This means the trend is increasing in strength still. If the uptrend line is greater than the downtrend line, but is decreasing, then the bars will be light green. This means that the upwards trend is losing strength.
If the downtrend line is greater than the uptrend line, then there is a negative trend occurring and the bars will be either red or light red. If the downtrend line has just crossed over the uptrend line or is increasing in value, then the bar will be red. If the downtrend line is greater than the uptrend line, but is decreasing in value, then the bars will be light red (meaning the downtrend is weakening).
One way to trade using this vortex is to enter a long position when the bar color changes from red to light red. This would mean that the downtrend is decreasing in strength and an upwards reversal is likely to occur soon. Then, traders can exit their long position when the bars change from dark green to light green. When that color change occurs it means that the uptrend is running out of steam and price is unlikely to continue its upwards climb.
Traders can also choose to have the uptrend and downtrend lines plotted as well in the input menu. This may make it easier to visualize the Vortex and its usefulness in identifying reversals.
Trend Scores + Volume-Weighted Trend ScoresHere is a simple indicator based on Tushar Chande's TrendScore .
The main purpose of the TrendScore is to determine the strength and direction of a trend, which it does by comparing the current price to the prices within a user-defined window of historical prices.
In the input menu, the user defines the starting and ending period. The current price is then compared to each historical price. If the current price is greater than the given historical price, then the TrendScore is incremented, while it is decremented if it is below the given historical price. TrendScore values fluctuate between a maximum of 100 and a minimum of -100, with 100 meaning that the current price is greater than each historical price in the window and a value of -100 meaning the inverse is true.
We then use the same process to calculate the volume trend score by passing in volume to the 'getTrendScore' function. Lastly, the indicator also also calculates a 'volume-weighted trend score'. This is simply the average of the price trend score and the volume trend score. It is not plotted by default, but users can set the input option to true in the input menu and it will be plotted as a yellow line (as seen in the bottom chart).
The Chart:
The trend scores for price are plotted as a histogram. We've summarized the meaning behind its color changes below:
-If ( trendScore == 100)
then color = dark green
-if ( trendScore < 100 and trendScore is increasing)
then color = light green
-if ( trendScore > 0 and trendScore is DECREASING)
then color = pink
-if ( trendScore < 0)
then color = red
The volume trend score is plotted as a blue line. We felt that using a similar coloring system for the volume trend scores would over-crowd the chart and take away from the simplicity that makes this indicator useful. The volume-weighted trend score is plotted as a yellow line.
The main price bars change color based on the price trend score to make the values easier to visualize as well.
Interpretation:
This is a pretty versatile indicator. We summarized the ways in which traders can use it:
-Enter Long Positions when the trend score crosses zero from negative to positive territory.
-Exit Long Positions when the trend score was previously 100 and begins decreasing (ie bar color changes from dark green to pink).
-Spot bearish divergences when price trend score is 100 or relatively high and the volume trend score decreases significantly.
-Identify bullish divergences when price trend score is relatively low and volume trend score is increasing.
~Happy Trading~
RSI + BTC Short & Long RSIsPlots the RSI for the current chart (same as the built-in RSI indicator) and adds the RSI values for the Shorts and Longs (S&L) from Bitmex. The main reason I've used the RSI value is to have it on the same scale as the price chart's RSI. The general trend of the S&L is preserved.
CME & XBT - BTC Futures Settlement DatesHi everyone
This in an indicator inspired by Scarrff
I added the XBT quarterly and yearly settlement dates
Enjoy
David
MVA collector cryptoHello Traders
This indicator draw multiple Simple Moving Averages multi-timeframes at once
I use it to define take profit zones for my crypto trading
Hope you'll like it
Enjoy
Dave
Dividing 2 symbolsHello Traders
This indicator is used to divide two assets between them. Why you would ask ?
For instance, in crypto trading, traders often look at the ratio Longs/Shorts or Shorts/Longs to figure out which side is leading the market and use this information as a powerful hedge for their next trade
Enjoy
Dave
OBV Z-ScoresThis study calculates the On-Balance Volume (OBV) and displays it in terms of its Z-Score.
OBV is a great momentum indicator . As the name suggests, OBV predicts changes in price based on the security's volume flow.
Formula:
if (Current Price > Previous Price)
then Current OBV = Previous OBV + Current Volume
if (Current Price < Previous Price)
then Current OBV = Previous OBV - Current Volume
if (Current Price == Previous Price)
then Current OBV = Previous OBV
As the formula shows, the OBV goes a step beyond just looking at the pure volume of a security. Instead, it factors in relative price action from period to period to reflect investor sentiment. As a result, we often look to the OBV to spot bullish or bearish trends while they are in the early stages of development or simply predict impending uptrends or downtrends.
To make the OBV easier to visualize, we converted the value to a Z-Score. The Z-Score is a simple statistical measurement and represents the current OBV value's distance from the mean OBV value in terms of # of standard deviations.
Users can adjust the values for the 2 upper bounds for Z Scores and 2 lower bounds. Additionally, the n value for z score calculation can be adjusted in the input menu. A higher n value means the z score will be based on a longer lookback period. A lower value will result in more sensitive readings.
Overall, I think this is an interesting way to represent OBV values and will be a valuable leading indicator.
~Happy Trading~
Modiied Elder Ray Index(Bull or Bear)Here's a modified version of the Elder Ray Index created by the famed Dr.Alexander Elder. This indicator has proven to be especially helpful lately given the crazy state of crypto.
Slow Moving Average :
The top chart shows the moving average used to filter trends. I recommend using a higher window length(can be adjusted with the 'lenSlowMA' input option). I wanted this to be a very smooth moving average, so I used the following formula:
slow MA = ema(vwma(close, 64), 64)
This resulted in a pretty smooth line that still detects major price movements very well.
-The background and bar colors both change in response to the Slow MA's value. The background and bars change to green when a bullish trend is detected and red when bearish.
Bear and Bull Power :
To balance things out a little, I included two histogram's based on Elder's Ray. Here, a more responsive EMA with a shorter window length is used to calculate the bull and bear power values and track short-term price fluctuations.
NOTE: The length of the EMA used here can be adjusted in the input menu.
Bull Power = current high - EMA(close, 13)
Bear Power = current low - EMA(close, 13)
Momentum TraderThis study combines two versatile momentum indicators :
Chande Momentum Oscillator:
-Measures trend strength, with higher absolute values meaning greater strength.
-Also tracks divergence. When price increases, but is not accompanied by an increase in Chande Momentum Oscillator values, it signifies bearish divergence and a reversal is likely to follow.
-Shown as the teal and pink histogram.
Percentage Price Oscillator:
-Similar to the MACD, except that it expresses the difference between the two moving averages in terms of a percentage. This makes it a little easier to visualize.
-PPO values greater than zero indicate an uptrend, as that means the fast EMA is greater than the slow (and vice versa).
Entry and Exit Conditions:
Enter When:
1) Chande Momentum crosses over zero from negative to positive territory. AND
2) It has been less than 3 bars since Chande Momentum was less than the lower green line. AND
3) Chande Momentum is rising(positive slope).
Exit When:
1) Chande Momentum is greater than the upper line. AND
2) It has been less than 6 bars since the PPO value was greater than the upper bound. AND
3) PPO is less than 5 (meaning the difference between the two EMA's is less than 5%). AND
4)PPO has a negative slope.
This study comes with alert conditions for long entries and exits.
~Happy Trading~
Mayer MultiplerThe ‘Mayer Multiple’ is one of the most popular metrics and derives from the current price divided by the 200-day moving average (200-MA). The average value is 1.39, and historically, when it becomes equal to or greater than 2.4 it will retrace to under 1.5.
Simulations performed by Trace Mayer determined that in the past, the best long-term results were achieved by accumulating Bitcoin whenever the Mayer Multiple was below 2.4.
Since the simulations were based on historical data, they are purely educational and should not be the basis of any financial decision.
Credit:
bitcoinist.com
mayermultiple.info
Double ALMAIncludes fast and slow Arnaud Legoux Moving Averages (ALMA). ALMA is a moving average based on a Gaussian(normal) distribution that reduces lag while still retaining smoothness.
Input Options:
-Offset : Value in range {0,1} that adjusts the curve of the Gaussian Distribution. A higher value will result in higher responsiveness but lower smoothness. A lower value will mean higher smoothness but less responsiveness.
-Lengths : The lookback for each ALMA calculation.
-Sigma : Defines the sharpe of the curve coefficients.
The slow ALMA is the thickest red and green alternating line that indicates bullish or bearish movement. When slow ALMA is bullish, the graph's background changes to green. When the slow ALMA is bearish, the background is red.
The fast ALMA uses a smaller lookback and is more responsive than the slow ALMA as a result of the shorter length and higher default offset parameter.
The two dotted lines represent (slowALMA +/- 1.25 * stdev(slowALMA, slowALMA period *2)).
The indicator bases its buy and sell signals based on the trend identified by the slow ALMA and the fast ALMA's crossings of the standard deviation bands.
Comes with pre-set buy and sell alerts.
VWMA/SMA Breakout and Divergence DetectorThis indicator compares four different values :
-Fast Simple Moving Average(SMA)
-Fast Volume Weighted Moving Average(VWMA)
-Slow SMA
-Slow VWMA
Comparing SMA's and VWMA's of the same length is a common trading tactic. Since volume is not taken into consideration when calculating Simple Moving Averages, we can gain valuable insights from the difference between the two lines.
Since volume should be increasing along with an upwards price movement, the VWMA should be greater than the SMA during a volume-supported uptrend. Thus, we can confirm an uptrend if the VWMA remains greater than the SMA. If the VWMA falls under the SMA in the midst of an upwards price movement, however, that indicates bearish divergence. The opposite is true for downtrends. If price is decreasing and volume is decreasing at the same time (as it should), then we can confirm the downtrend.
Interpreting the Graph:
If the slow SMA is greater than the slow VWMA, then the area representing the difference between the two lines is filled in red. If the slow VWMA is greater than the slow SMA, however, the area between the two is filled green.
If the fast SMA is greater than the fast VWMA, then the area between the two dotted lines is filled in red. On the other hand, the area will be filled green if the fast VWMA is greater than the slow SMA.
In addition to spotting divergences and confirming trends, the four lines can be used to spot breakouts. Typically, a VWMA crossover will precede the SMA crossover. When the fast VWMA crosses over the slow VWMA and then a SMA crossover follows shortly after, then it is a hint that a bullish trend is beginning to form.
