BTCUSD Volume(100 Percent Stacked Area Chart)
Display the volume of 4 exchanges with BTC / USD pair in 100% stacked area chart.
The target exchanges are 3 companies that BitMEX refers to indexes (Coinbase, Bitstamp, Kraken).
And I'm adding Bitfinex, which I think has a strong impact on the market.
If you uncheck the "100 Percent Stacked Area Chart", the volumes of each exchange will be displayed in piles.
1-BTCUSD
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~
Arbitrage SystemThis script allows you to track the price and volume movement across 6 different exchanges. By default, it is configured for BTC and pulls price and volume data from Gemini, Bitfinex, Bittrex, Bitstamp, Coinbase and Kraken.
Users can use the input options menu to choose which exchanges or symbol is used. It has 4 different modes:
1.Price Scatter: Plots the prices from each exchange around one center white line that represents the mean price across all 6 exchanges.
2. Price Line: Same thing as above, except lines are used instead of circles.
3. Volume Scatter: Plots the volumes for each exchange as colored circles, similar to a scatter plot.
4. Volume Line: Same as above except lines are used instead of circles.
The label in the top right corner displays the current price for each exchange. This can be configured in the input menu and can display
-Current Price
-% Difference from Mean
-$ Difference from Mean
This label also displays the highest and lowest price (or % diff) amongst the 6 exchanges.
Prices are pulled in 1 minute intervals, but the mean price line(white) can be adjusted to show 5, 15, 30, 1 hour or 2 hour avg price across all 6 exchanges.
Adaptive Momentum Oscillator(AMO)Here is a new experimental indicator that we've been developing that is focused on gauging momentum.
The indicator fluctuates above and below zero, but instead of using zero as the threshold for differentiating positive and negative momentum, it uses an 89 period median(plotted as the thick white line).
The momentum over the previous 10 periods is then calculated and then smoothed using a 6 period Exponential Moving Average (EMA). This, as well as the choice to use a median as the central divider were done to eliminate the whipsaws that are often generated when making strategies based on pure momentum and crossings above/below 0. The EMA alternates between lime green when it is above the median and pink when it is below. The area between the EMA and median is filled in green when EMA > median and pink when the EMA is less than the median.
Then, a 29 period Simple Moving Average of momentum is calculated. Here, going with a SMA over EMA and a longer window(29) seemed to make sense as it is counteracts the high responsiveness of the EMA. The SMA is green when greater than the median and red when less than the median.
There's two ways to trade using this system. One way would be to go long when the momentum EMA crosses over the white median line and turns lime green, then short when it crosses back under the median line and turns white. Another option is to go long under the same conditions, but short when both the EMA and SMA are above the median and the EMA crosses under the SMA.
Not sure if this exact configuration has already been created by someone, but it'll be interesting to see how it holds up with more backtesting and then running it fully automated.
-Strategy version coming soon-
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.
Ppsignal GSV V1Entry pattern GSV (Greatest Swing Value)
We return with another Larry Williams pattern, the Greatest Swing Value or GSV, in principle this pattern was developed for the S & P 500, but it could be extrapolated to other markets, as with the previous pattern we will only explain it for long positions. First of all we have calculated the difference between the maximum and the opening of the last 4 bars and its average, that is to say: /4. Being H the maximum of each bar and the O the opening price of each bar. From this average we will extract 180%, that is, we will multiply it by 1.8. The value of this result will be the GSV.
The logic of this GSV entry pattern is as follows: a widely used way to enter the markets is the breaking of highs, but many times false breakdowns occur or what Larry Williams calls "failure swings", to avoid these false ruptures Larry invented the GSV, which is like a moving average applied to the Swing Value (the difference between the maximum and the opening price).
Once we have the GSV we must add it to the opening price of the current bar and the entry will occur when the price exceeds this level.
to determine the entrance we use bollinguer band and atr. In this way we enter the pattern with volatility.
Patrón de entrada GSV (Greatest Swing Value)
Para esta tecnica usamos la volatilidad para determinar entradas, bollinguer band 13.1 y atr...
Volvemos con otro patrón de Larry Williams, el Greatest Swing Value o GSV, en principio estepatrón fue desarrollado para el S&P 500, pero se podría extrapolar a otros mercados, al igual que con el patrón anterior solamente lo explicaremos para posiciones largas. Primero de todo hemos calculado la diferencia entre el máximo y la apertura de las 4 últimas barras y hacersu media, es decir: /4. Siendo H el máximo de cada barra y la O el precio de apertura de cada barra. De esta media sacaremos el 180%, es decir, lo multiplicaremos por 1.8. El valor de este resultado será el GSV.
La lógica de este patrón de entrada GSV es la siguiente: una forma bastante usada para entraren los mercados es la ruptura de máximos, pero muchas veces se producen rupturas falsas o loque Larry Williams llama "failure swings", para evitar estas rupturas falsas Larry inventó el GSV,que es como una media móvil aplicada al Swing Value (la diferencia entre el máximo y el preciode apertura).
Una vez tenemos el GSV deberemos sumárselo al precio de apertura de la barra actual y la entrada se producirá cuando el precio supere este nivel.
para determinar la entrada usamos bollinguer band y atr. des esta manera entramos al patron con volatilidad.
PpSignal LONG SHORT BTC SIGNALanalyzing the open buy or sell positions, we have developed an indicator that avoids falling into trading traps
Odin - Bitmex EasymodeThree years ago we started a journey to building a trading framework that was intended to design a framework to stop trading time for money. Today I'm releasing the first version of that hard work as a simple, buy sell indicator optimised for crypto, but can be applied to almost any market.
This indicator was designed as a starting framework for new traders who are unsure of market trends and market movements when entering leveraged trading. Future releases will be coming soon that will include Take profit and stop loss targets and colouring candles with trend, as well as trend lines .
Odin is best used as a swing trader looking to find your peaks and bottoms when we have large shifts in trend. The indicator comes with several options including:
Turning on more signals for riskier trades.
Adjusting the aggressiveness of the algorithm.
Turn on lower lows and highs and higher highs and lows.
Persistence factor to find and counter trade certain trends early.
If you would like to learn more about Odin and whats going on behind the scenes you are welcome to join us.
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~
Cyatophilum Scalping Bot V2 [ADVANCED SETTINGS] [ALERTSETUP]Advanced Settings version of Cyatophilum Scalping Bot V2
For people who like tweaking settings =)
The WaveRunner Multiple Moving AveragesThe WaveRunner consists of a Triple Exponential Moving Average (or TEMA). This study first calculates the exponential moving average(EMA) of the security. It then finds the EMA of that first EMA and then finally calculates a third EMA based on the second EMA. Then, we added in a volume weighted moving average, allowing us to place greater emphasis on periods with higher volume.
Due to its minimal lag, the triple exponential moving average is a good tool for trend identification and volatility measurement. Adding in a VWMA further improves its accuracy as it provides another way to check the strength of a trend.
The first EMA is shown as the green line of circles. The EMA of that line is then plotted as the middle yellow line. Finally, the third EMA is the red line of circles. When the first EMA is greater than the third, it indicates a sustained positive trend and the area between the two lines is filled green. On the other hand, when the third EMA is greater than the first EMA, it indicates a negative trend and the area between the two lines is filled red. Finally, the VWMA is shown as the darker green and red areas both below and above the first EMA.
This indicator is best used for trend identification and confirmation, filtering out volatility. Reduced lag allows traders to interpret sharp price fluctuations.
OBV StochasticsThis indicator uses both a standard Stochastic Oscillator based on security prices and stochastically oscillated OBV values.
Explanation:
Stochastics measure momentum by comparing the current closing price to its lowest and highest price over a user-defined window of n periods. Without going too in depth, traders can view the K value as the current value for the stochastic indicator and the D value as a Simple Moving Average of K values. Users can adjust the length of that Simple Moving Average through modifying the smooth D parameter in the input option menu.
Traders can also define the upper and lower bounds for both sets of K and D values. These are plotted on the graph as the horizontal red (upper) line and horizontal green (lower) line. Generally, the upper line is viewed as the threshold at which a security can be considered overBought. Conversely, the lower green line is the threshold at which they can be viewed as overSold.
OBV, or On-Balance Volume, is a versatile momentum indicator that we discussed in our OBV Z-Scores open-source script. That is a good place to look if you're looking to gain a better understanding of the OBV indicator. By applying the stochastic formula to the OBV, it allows us to gain a better understanding of the current OBV value relative to its historical data and display the OBV in a {0.100} bounded range of values.
Plotting the standard price-based Stoch. K and D in combination with the Stoch. OBV K and D can help identify divergences and track the progression and direction of trends. For example, you can see that when the two move in opposite directions or when one significantly outpaces the other, it often hints towards an impending reversal.
The Graph:
As mentioned the upper and lower overbought and oversold thresholds can be adjusted by the trader and are plotted on the graph in red and green.
The green oscillating line represents the Stoch. K of OBV values, while the red line symbolizes the OBV D values.
The teal line is the standard Stoch. K and the orange line is the standard Stoch. D.
Users have two options for background highlights. The first option is to use green highlights to show entry signals and red highlights to show exit signals. These signals are based on the criteria we have set for identifying optimal entry and exit points. This is shown in the second pane.
The second option is to plot red highlights whenever Stoch. OBV K crosses the upper bound and green highlights whenever it crosses the lower bound. This is shown in the bottom pane. NOTE: Choosing this option means that signals will not be displayed in sequential entry-exit order (instead this is a good option if traders only want to identify when the security is overbought or oversold).
Input Options:
Traders can adjust the respective smooth K and smooth D values for both the standard stoch. and OBV stoch. Additionally, the lookback window length can be adjusted as well as the upper and lower bounds(in addition to the display options shown above).
Alerts:
Indicator sends alerts when entry and exit conditions are met, as well as alerts to inform traders when overbought/oversold conditions are met. Alerts can be tailored for GunBot / other automated trading platforms upon request.
~Happy Trading~
BOSS| Trade Like A Bitcoin and Ethereum WhaleTHE BEST BITCOIN AND ETHEREUM INDICATOR FOR TRADINGVIEW.COM
Quantum Technology – You won’t find any other indicator out there that predicts the probability of the next candle being bullish or bearish .
No Lag, No delay, No repaint!
Quality of Signals – The new Boss Quantum allows you to be in control of the outcome probability. Higher accuracy!
Buy/Long on Long Signal
Sell/Short on Short Signal
SET ALERTS TO ONCE PER BAR CLOSE
//////////////////////////////////////////////////////////////////////
Breakouts, Profit Points, and ReEntry's
This indicator will alert you of when to take profits, when to reenter a trade, and when a breakout occurs.
TAKING PROFITS
When in a long position take long profits on teal circle which, will be above candle.
When in a short position take short profits on purple circle which, will be below candle.
I typically exit 25-50% of position and reenter 25-50% on next candle.
If a Long or Short signal on BOSS quantum is still present the long or short trade is still active.
ReENTRY's
Long ReEntry's
If in a long position and a purple circle appears below candle this indicates a great place to either reenter trade or add more to position.
If a green triangle appears below candle you can either reenter or add more to long position as this signifies a long breakout/ strong upward movement.
Short ReEntry's
If in a short position and a teal circle appears above candle this indicates a great place to either reenter trade or add more to position.
If a red triangle appears below candle you can either reenter short or add more to short position as this signifies a short breakout/ strong downward movement.
Breakout's
Green Triangle
If a green triangle appears below candle you can either reenter or add more to long position as this signifies a long breakout/ strong upward movement.
Red Triangle
If a red triangle appears above candle you can either reenter short or add more to short position as this signifies a short breakout/ strong downward movement.
SET ALERTS TO ONCE PER BAR
Available At: Bosscripts.com
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.
Cryptocurrency Adjusted MACD - CAMACDAdjust settings to your liking!
Support the development of new indicators:
BTC: 1LRHrA9wChPyZgCtWj3vBxv8FwHKWKmmmU
LTC: Lfw6FfeZhJofLJSackJ5uDam2BnDqh8Acp
ETH: 0xeE7abEc3303D5Ca4c05b876B2cE8E2406481365a
ZCASH: t1gSCHrcRN1GcCP2YWGh6xG9hSxSkxMoofF
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~
Megalodon Pro Utility PanelHow to use?
Simply, add the indicator and follow the timing and kill zone signals on the screen.
This indicator is designed for Daily time frame for longer term analysis and 1 minute time frame for shorter term analysis.
Turn on the kill zone feature for overlaying different kill zones.
Turn on Day Trading checklist feature for becoming a better Day Trader using Megalodon indicators.
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.
Volatility BandsWe used Marc Chaikin’s Chaikin Volatility as somewhat of a baseline for this indicator and then built on it. Like Chaikin Volatility, our indicator draws primarily upon high-low spreads to quantify a security’s volatility. It also has similarities to Keltner Channels as it uses ATR rather than standard deviations in its calculation of the different bands.
Inputs:
int ‘len0’, lookback window for fast EMA of high-low ranges.
int ‘len1’, lookback window for slow EMA of high-low ranges.
int ‘len2’, lookback window for slow EMA of closing prices.
float ‘m0’, ATR multiplier for first upper and lower volatility bands.
float ‘m1’, ATR multiplier for second upper and lower volatility bands.
float ‘m2’, ATR multiplier for third upper and lower volatility bands.
int ‘lenATR’, window length for ATR calculation.
Output: 3 Upper and Lower Volatility Bands (6 total).
1. Compute High Low Spread for current period.
hlr = (high – low)
2. Calculate Exponential Moving Average of HLR at length len0
fastEMA = ema(hlr, len0)
3. Calculate Exponential Moving average of HLR at length len1 (where len1 > len0)
slowEMA = ema(hlr, len1)
4. Get EMA of closing prices at length len2(where len2 > len1 and len1 > len0)
priceEMA = ema(close, len2)
5. Use adjusted Chaikin Volatility Formula to quantify volatility
v = (fastEMA – slowEMA) / slowEMA
6. Calculate three upper and three lower volatility bands (6 total):
ex:
upper0 = priceEMA + ((1 – cv) * (atrMult0 * atr(lenATR)))
lower0 = priceEMA – ((1 – cv) * (atrMult0 * atr(lenATR)))
One possible way to use this indicator is to enter a long position when the security’s price falls below the lowest volatility band and then exit when it crosses above the third upper band. This seems to get the best results for quick, high frequency trading. Another approach is to enter a position when the bands begin to break out from a compact state and the width between them increases.
Still tweaking the idea, so any feedback would be appreciated.
RSI + Volume-Weighted TSIThis indicator combines a standard RSI with a modified TSI.
Although a double smoothing process is already used in calculating the normal TSI, we decided to apply a volume weighted moving average of length (length_of_slow_TSI_EMA // 2) to it. This resulted in a smoother TSI that picked up on large-scale swings very nicely.
Entry Signals are generated when the Volume-Weighted TSI crosses above zero from negative into positive territory. Exit signals are generated when the TSI is above 40 and then begins its downward fall, along with a declining RSI value.
The Graph:
The Volume-Weighted TSI is plotted as the blue histogram, wile the RSI is plotted as the yellow histogram. We definitely wanted to go the simplicity route on this one's graphics, since the RSI and TSI are both classic and reliable indicators.
The green background highlights indicate an entry signal and red highlights signify an exit signal.
Input Options:
-length of Slow EMA for TSI
-length of Fast EMA for TSI
-Length of Volume Weighted MA of TSI.
-Length of RSI.
~Happy Trading~
Volume BTCFIATThis indicator shows the aggregated volume of BTCFIAT of the Bitwise "Trusted 10" Exchanges that are available on TradingView.
I did not include every currency or stable coin available on these exchanges due to some being inconsequential in volume .
I also included option to show BitMEX deleveraged amount. Recent report suggests average leverage used there is 8.6X.
Volume can be shown in BTC or USD amounts. The moving average can be adjusted and if set to 0 will hide it.
Due to the number of lookups please be patient while loading. It will take a moment to display.
To load search Indicators for "Volume BTCFIAT" and click to load.
This indicator does not require access from me.
