piphunter bacdThe pip hunter bacd takes a pair of moving averages periods then through a series of calculations using those 2 moving averages gives you a signal line and what we call the bacd line when they cross it signifies a new trend direction
This tool is part of the total pip hunter package and comes with and compliments the pip hunter momentum extreme and trend scout indicators as it will allow you to take trades when this tool has identified the long term trend to be in the same direction as the momentum tool and short term trend tool and has confirmed that there is momentum behind the move
This is best used with the rest of the pip hunter package for more info on getting access to all three indicators in the package please message me for more information
Trend
Crazy_BullHello Everyone,
its Indicator Base on vwap with Trend combination
Note: if your Symbol and Chart not provide volume when this indicator not working Like Nifty50 Index it's not provided volume
➤ Long Side Signal With Alerts
➤ Short Side Signal With Alerts
➤ Long side Take profit Calculated By Open Bar You Can Also Change Calculate percentage input
➤ Short side Take profit Calculated By Open Bar You Can Also Change Calculate percentage input
➤ Long side Stop Loss Calculated By Open Bar You Can Also Change Calculate Bar Source and percentage input
➤ Short side Stop Loss Calculated By Open Bar You Can Also Change Calculate Bar Source and percentage input
➤ Take profit or Stop loss Alerts with Plot shape
➤ Trailing stop loss both side with alerts you can also change input point
Important: This Indicator we are using for Automation Trading if You Want This Indicator Access Please Contact me PM on Tradingview
Ehlers Hurst Coefficient [CC]The Hurst Coefficient was created by John Ehlers (Cycle Analytics For Traders pgs 67-68) and this is a very useful indicator to tell you if the stock is in a uptrend or downtrend. Feel free to change the length to experiment and to adjust to your needs. Buy when the indicator line is green and sell when it is red.
Let me know if there are other indicators you would like to see me publish or if you want something custom done!
the formation of an uptrendThe scenario adds up the maximum daily increases (i) and maximum daily decreases (l) over a certain period, and if the sum “i” exceeds a certain threshold, and above the sum “l”, then the indicator will work. We wait for a positive candle (1D), and after it we buy stocks (with a leverage of 1: 2), we wait for an increase of 50% (thanks to a positive trend), and sell.
Adaptive Trend Lines (Expo)Adaptive Trend Lines (Expo) identifies the current trend direction within the selected lookback period. The idea behind the indicator is that the trend lines should self adjust to the constantly changing market. The indicator adjusts itself to the market by using tr (true range) and stdev (standard deviation) as dynamic variables.
The indicator displays positive- and negative trend channels.
HOW TO USE
1. Use the indicator to identify the trend direction.
I hope you find this indicator useful , and please comment or contact me if you like the script or have any questions/suggestions for future improvements. Thanks!
I will continually work on this indicator , so please share your experience and feedback as it will enable me to make even better improvements. Thanks to everyone that has already contacted me regarding my scripts. Your feedback is valuable for future developments!
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Disclaimer
Copyright by Zeiierman.
The information contained in my scripts/indicators/ideas does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, or individual’s trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My scripts/indicators/ideas are only for educational purposes!
Jackrabbit.modulus.StochasticThis is the Stochastic for the Jackrabbit suite and modulus framework.
This indicator supports differential timeframe analysis and confirmational bias. Dynamic timeframes are supported.
This is an updated view of Stochastic and supports traditional overbought/sold boundaries and cross over regions.
The main indicatior and the confirmational indicator can both be individually tuned for the %K, and %D moving averages with different and independent lengths and 30 different moving average types:
SMA, Double SMA, Triple SMA,
EMA, Double EMA, Triple EMA,
RMA, Double RMA, Triple RMA
WMA, Double WMA, Triple WMA,
VWMA, Double VWMA, Triple VWMA,
Hull, Double Hull, Triple Hull,
ZLEMA, Double ZLEMA, Triple ZLEMA,
SWMA, Double SWMA, Triple SWMA,
SSMA, Double SSMA, Triple SSMA,
SMMA,Double SMMA, Triple SMMA
The Jackrabbit modulus framework is a plug in play paradigm built to operate through TradingView's indicator on indicatior (IoI) functionality. As such, this script receives a signal line from the previous script in the IoI chain, and evaluates the buy/sell signals appropriate to the current analysis. The results are either combined with the signal line, or used as confirmation to the signal line. A new signal line is generated for the next script in the link.
This script is not designed or meant to function outside my framework and contains no alert capabilities.
By default, the signal line is visible and the charts are turned off. Signal line visibility is controlled by the Style tab, and the charts display is controlled by the indicator settings tab.
This script is by invitation only. To learn more about accessing this script, please see my signature or send me a PM. Thank you.
Viral Trend TraderSimple indicator.
Chose ADX Length and Timeframe and it will show translucent black candles for downtrends and white candles for uptrends.
TurboTrend-TTThis indicator shows the main trends of the instruments. Users will automatically see the bottom and peak of trends.
(Bu indikatör enstrumanların ana trendlerini göstermektedir. Kullanıcılar trendlerin dip ve tepe noktalarını otomatik olarak görecektir.)
Volatility DMBefore anything, take notes of the script limitations :
1) The script has the setting : "Max_bars_back" set to 390. This is required to use dynamic length and an "internal clock"
*390 is the normal number of bars in a typical stock trading day.
2) The script requires volume data to work correctly
* I use a way to represent volatility that requires ( volume + price movement + time, no sma , no stdev)
Why ? Because:
HIGH-LOW = Fail to get gap information, fail to get volume information
TR/ATR = Fail to get volume information
STDEV = Not very good with dynamic length as it use SMA and fails when length <2
Conclusion: this script is basically limited to stock trading.
If I could set Max_bars_back to 23 400 this would even work better with a 1 second time frame as more data would be entered in the system.
The idea behind the script is that volatility exists in two different formats depending on how you observe the situation.
Remember your physics class? Light can be a wave or a particle depending of the situation.
Volatility seems to share a strange similar property.
Format 1) Instant volatility . (Ex. High - Low, TR )
Format 2) Systemic volatility (Ex. Dynamic ATR with variable length)
I then speculate 3 lines. (on both directions, + or -)
What if all transaction were 50% directional according to the instant volatility
What if all transaction were 100% directional according to the instant volatility
What if all transaction were 200% directional according to the instant volatility
sum(0,5*instant volatility , dynamic time)
sum(instant volatility , dynamic time)
sum(2*instant volatility , dynamic time)
This give you potential signals lines and support/resistance .
I then calculate the real price movement
sum(price movement, dynamic time)
Then you need to compare the real price movement VS if all transaction were 100% directional following the system volatility
dif=(sum price movement/sum volatility )*dynamic time
Voila.
If the movement is directional then it follows the system volatility .
If the movement is not directional then it goes back toward the Zero.
Inspirational image :
en.wikipedia.org
[DA]Moving Average PlusThis script contains all types of MA with the ability to select the display of the MA extremum and trend color
Relative Strength Auto ComparisonRelative Strength Comparison with automatic selection of relevant index
Added support for most european and north american exchanges.
Vertical Horizontal Moving Average [AneoPsy & alexgrover] Moving average adapting to the strength of the trend, this is made possible by using the square of the vertical-horizontal filter as a smoothing factor. Alerts are included with two different types of conditions available to the user.
Settings
Length : Period of the moving average
Src : Input data for the indicator
Alerts : Types of conditions to be used in the alerts, when set to "VHMA Direction Change" alerts are triggered once the VHMA is either rising or declining, else the alerts are based on the crosses between Src and the VHMA
Usage
The VHMA can be used as a fast or slow-moving average in a moving average crossover system, or as input for other indicators.
VHMA of with length = 25 and sma with length = 200.
VHMA with length = 25 used as input for the RSI with length = 14.
Details
The vertical-horizontal filter is a measure of the strength of the trend and lay in a (0,1) range, to calculate it you just need to divide the rolling range over with the rolling sum of the absolute price changes, squaring the result allow to get lower results with higher values of length .
Squared vertical horizontal filter with length = 50, the value is low when the market is ranging and high when trending.
To set the alerts go in the alert panel, click on create alert, and select VHMA in "condition", choose between the buy or sell alert. If Src = closing price or another indicator dependant on the closing price select in options "once per bar close", if the indicator using the opening or lagged closing prices values as input select "One per bar" instead.
Thanks
Thanks to AneoPsy for adding the color change, the idea to use two kinds of conditions for the alert, and for its feedback, you can follow him
www.tradingview.com
and finally thanks to you for reading and for your support, only one last script left for the month, then we'll start July with some pretty interesting indicators, I hope you'll like them ^^/
MACD_trendtrader v2 (picte)This is an upgraded version of my MACD_trendtrader indicator.
UPGRADES:
- Histogram slope changes colors according to the direction of the slope.
- Panel that displays volatility of the asset. The volatility is measured from 0 to 100. Zero being the lowest and 100 the highest volatility. I also included different text colors for a certain volatility value (white= very low volatility, blue = low volatility, purple= high volatility, green= very high volatility)
It works well on all time-frames but i found it particularly useful on the lower time-frames for identifying pullbacks in a trending market.
It has been tested in the Forex and Traditional market.
FauxLife EFIModification to Elder's Force Index (EFI)
Ability to change calculation from standard EMA to your choice of SMA, EMA, WMA, or HMA. Very interesting results!
Adjust lookback from standard/suggested 13 candlesticks
Added a color indication to positive or negative force reading
Added background color tint for an easier read on dashboard setups
Suggested pair with my On Balance Volume with Cross to use as a filter & entry/exit setup. Enter or exit trades when the two indicators switch at the same time or within 1-2 candlesticks of each other.
[astropark] AltwalkerDear Followers,
since today you can enjoy Altwalker , a new Swing and Scalping Strategy based on a simple trend following theory , mainly designed for Cryptocurrencies, Altcoins and of course Bitcoin.
It works also on all timeframes, but it's suggested to use it on higher ones: 1D - 12h - 6h - 4h , not suggested to use it below 1h-30m.
Based on Moving Average, Altwalker dynamically identifies market resistance and support, so in which trend a cryptocurrency is during time:
green trendline and background means bullish trend , in fact it start with a "buy" signal
red trendline and background means bearish trend , in fact it start with a "sell" signal
if a series of buy and sell appears (this may happen especially in lower timeframes), this mean price is in consolidation or distribution phase, so be prepared for a new trending phase coming soon, always remembering that taking profits is awesome and managing your risk by defining you position size and having a stoploss is a must in trading
Altwalker integrates also 2 special tools besides the trend highlighter:
MoneyFlow Signals , which appear as Red and Green tiny Triangles , highlight when money are starting flowing in (green - bullish sing) or out (red - bearish sign)
Overbought and Oversold RSI Signals , which appear both as darker background (the darker the color, the more the price is in overbought/oversold) and green "ob"-"tp" / red "os"-"tp" labels (they optionally pop up only on a configurable stronger overbought/oversold condition)
You can edit many options in order to
enable/disable showing buy/sell signals
enable/disable showing trendline
enable/disable showing trend as background
enable/disable showing moneyflow signals
edit moneyflow period of analysis (I suggest a number between 70 and 100 in general)
enable/disable showing rsi signals
edit rsi length, overbought and oversold levels
The user who wants to use this strategy, especially via an automated bot, must always set a stoploss (example 150$ from entry on bitcoin) or use a proper risk management strategy .
This is not the "Holy Grail", so use it with caution. It's highly suggested to use a proper money management .
This script will let you set all notifications you may need in order to be alerted on each triggered signals.
Here there are some examples how Altwalker works and results you can get following its buy/sell trend suggestions.
LINKUSDT 1D
BNBUSDT 1D
ATOMUSDT 1D
XTZUSDT 1D
ETHBTC 6h
XBTUSD 1D
XLMUSDT 1h
VETBTC 6h
LTCBTC 6h
Here there are some examples how MoneyFlow signals give you a nice insight on near future trend - "Follow The Money" .
ETHUSD 1D
ETHBTC 1D
This is a premium indicator , so send me a private message in order to get access to this script.
Larry Williams 9.1 with Optional Filters - ValenteThis indicator is based on the Larry Willians 9.1 Strategy.
It will paint the candles WHITE when Long entries are activated and BLACK when short entries are activated.
There is an option to include an EMA or SMA filter.
Constantius - Profitable trend analysis - Margin tradingConstantius is our new trend-following strategy based on trend and momentum detection. Best working on liquid cryptos, here is the ETH-based example.
Strategy has lot of parameters hard-coded, this makes strategy tuning simple with only two parameters remaining.
About strategy:
— No repainting
— No “security” function, so this strategy fully works on given timeframe
— No waiting for bigger candle close
Fun fact: Constantius is steadly profitable since 8 USD per ETH, check by yourself!
About high-leverage trading and reality check of backtest results:
High leverage was in mind when we were designing this strategy. In short, if we use real margin of 1.5% on Bitmex that equals real leverage of 67. Real leverage means that is no subsidy payment for the Bitmex insurance fund of exchange. Putting it simple, our stop loss is 1.5% below entry price for longs. That gives us an opportunity to trade position size that is about x3 of our initial capital when actually risking 5% percent of equity. We can also fine-tune our risk appetite, so risking 2% of equity with 1.5% stop loss gives us about x1.2 on our initial capital, and risking 2% of equity with 3% stop loss gives us tradable position of 60% of our capital. Credits for this system going to Antiliqudation tool.
We're trying to make backtest modes as realistic as we can, so there is leverage modelling:
— Initial capital: 130 USD. That means we put the price of 1 ETH in the beginning of testing.
— Fixed order size of 2.6 ETH per position. That means we're using 4% of equity per trade.
— We have more than 1000 orders. It is hard to monitor them 24/7 so automation is good thing to use.
— Commission of 0 is real in implementation, as some exchanges pays you -0.025% (negative) market maker commission. Automated order execution is necessary for zero commission, and a special type of order that tries to enter a position with a limit order that is constantly adjusted to be at the front of the order book is needed. So automation tools calls it “aggressive” order. Please look for ways of automation listed on Pine Coders site.
— Slippage can be set in “aggressive” orders, here in backtests default is zero.
There are lot more details about algotrading and leverage nuances, feel free to contact and ask for anything.
Use the link under backtesting results block to obtain access to this strategy!
Computing The Linear Regression Using The WMA And SMAPlot a linear regression channel through the last length closing prices, with the possibility to use another source as input. The line is fit by using linear combinations between the WMA and SMA thus providing both an interesting and efficient method. The results are the same as the one provided by the built-in linear regression, only the computation differ.
Settings
length : Number of inputs to be used.
src : Source input of the indicator.
mult : Multiplication factor for the RMSE, determine the distance between the upper and lower level.
Usage
In technical analysis a linear regression can provide an estimate of the underlying trend in the price, this result can be extrapolated to have an estimate of the future evolution of the trend, while the upper and lower level can be used as support and resistance levels.
The slope of the fitted line indicates both the direction and strength of the trend, with a positive slope indicating an up-trending market while a negative slope indicates a down-trending market, a steeper line indicates a stronger trend.
We can see that the trend of the S&P500 in this chart is approximately linear, the upper and lower levels were previously tested and might return accurate support and resistance points in the future.
By using a linear regression we are making the following assumptions:
The trend is linear or approximately linear.
The cycle component has an approximately constant amplitude (this allows the upper and lower level to be more effective)
The underlying trend will have the same evolution in the future
In the case where the growth of a trend is non-linear, we can use a logarithmic scale to have a linear representation of the trend.
Details
In a simple linear regression, we want to the slope and intercept parameters that minimize the sum of squared residuals between the data points and the fitted line
intercept + x*slope
Both the intercept and slope have a simple solution, you can find both in the calculations of the lsma, in fact, the last point of the lsma with period length is equal to the last point of a linear regression fitted through the same length data points. We have seen many times that the lsma is an FIR filter with a series of coefficients representing a linearly decaying function with the last coefficients having a negative value, as such we can calculate the lsma more easily by using a linear combination between a WMA and SMA: 3WMA - 2SMA , this linear combination gives us the last point of our linear regression, denoted point B .
Now we need the first point of our linear regression, by using the calculations of the lsma we get this point by using:
intercept + (x-length+1)*slope
If we get the impulse response of such lsma we get
In blue the impulse response of a standard lsma, in red the impulse response of the lsma using the previous calculation, we can see that both are the same with the exception that the red one appears as being time inverted, the first coefficients are negative values and as such we also have a linear operation involving the WMA and SMA but with inverted terms and different coefficients, therefore the first point of our linear regression, denoted point A , is given by 4SMA - 3WMA , we then only need to join these two points thanks to "line.new".
The levels are simply equal to the fitted line plus/minus the root mean squared error between the fitted line and the data points, right now we only have two points, we need to find all the points of the fitted line, as such we first need to find the slope, which can be calculated by diving the vertical distance between B and A (the rise) with the horizontal distance between B and A (the run), that is
(A - B)/(length-1)
Once done we can find each point of our line by using
B + slope*i
where i is the position of the point starting from B, i=0 give B since B + slope*0 = B , then we continue for every i , we then only need to sum the squared distance between each closing prices at position i and the point found at that same position, we divide by length-1 and take the square root of the result in order to have the RMSE.
In Summary
The following post as shown that it was possible to compute a linear regression by using a linear combination between the WMA and SMA, since both had extremely efficient computations (see link at the end of the post) we could have a calculation for the linear regression where the number of operations is independent of length .
This post took me eons to make because it's related to the lsma, and I am rarely short on words when it comes to anything related to the lsma. Thx to LucF for the feedback and everything.
HTF Candlestick Patterns [TradingView] vX by DGTCandlesticks are graphical representations of price movements for a given period of time. They are commonly formed by the opening, high, low, and closing prices of a financial instrument. They have their origins in the centuries-old Japanese rice trade and have made their way into modern day price charting.
It’s important to note that candlestick patterns aren’t necessarily a buy or sell signal by themselves. They are instead a way to look at market structure and a potential indication of an upcoming opportunity. It is always useful to look at candlestick patterns in context like any other market analysis tool and candlestick patterns are most useful when used in combination with other techniques. There are countless candlestick patterns that traders can use to identify areas of interest on a chart, where some candlestick patterns may provide insights into the balance between buyers and sellers, others may indicate a reversal, continuation, or indecision.
Reversal patterns are quite useful when used in context. Reversal patterns should form at the bottom of a downtrend or at the top of an uptrend. Otherwise, they are not a reversal patterns, but continuation patterns. Most reversal patterns require confirmation such as price move in the direction of reversal accompanied by appropriate trading volume. The reversal patterns can further be confirmed through other means of traditional technical analysis—like trend lines, momentum, oscillators, or volume indicators—to reaffirm buying or selling pressure. The patterns themselves do not guarantee that the trend will reverse. Investors should always confirm reversal by the subsequent price action before initiating a trade.
This study implements some of the most commonly used candlestick patterns in a context with directional movement indicator. On request users can adjust the strong trend threshold from dialog box, eighter can disabled correlation with directional movement indicator. To add additional sight to analysis the simple moving averages of 20, 50, 100 and 200 periods are added (configurable)
You may add additional indicators of your choice. Colored DMI, BB Cloud or Price Distance to its MAs may help
Enjoy it!
Disclaimer: The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd tradingview user liable for any possible claim for damages arising from any decision you make based on use of the script
Trend Risk Indicator (TRI)The Trend Risk Indicator is a simple bands indicator made of 2 custom averages of candlesticks ranges calculated within the variable “ BandBars ” period.
Upper and lower channel bands width can be adjusted with the “ Deviation ” variable, which act as a simple factor to enlarge the spread between them.
When Close crosses over the upper band, it is a bearish signal and candlesticks are painted in Red.
When Close crosses under the lower band, it’s a bullish signal and candlesticks are painted in Green.
One of the most interesting indicators for 1 minute scalping. Recommended to use on Renko bars.
*drag to chart and pin to scale, also remove borders from candlesticks.
ForteTrader Heiken Multi Time Frame Trend IndicatorThis indicator is using Heiken Ashi Candle Stick System to measure three separate time frames of your choosing. Default setting is with 120 minutes, 240 minutes, and 720 minutes. Ideal for swing trading, or scalping. When two or more time frames align red, looking for short entries. When two or more green time frames align, looking for long entries. Entries and Exits are at your own discretion. This is not trading financial advice just a tool to help you all find overall confluence in your trading and direction.
EMA Slope Cross Trend Follower StrategyThis strategy uses the cross of the slopes of two EMAs having different lengths to generate trend follower signals. By default, I use 130 and 400, which behave very well.
The conditions which make the strat enter the market are:
- Fast Slope > Slow Slope and price > EMA 200 : go Long
- Fast Slope < Slow Slope and price < EMA200 : go Short
The simple slopes cross in the opposite direction, closes the position.
The strategy performs best on Bitcoin and the most liquid and capitalized Altcoins, but works greatly on volatile assets as well, in particular if they often go trending.
Works best on 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 strategy inputs. The purpose is not opening positions if price is going sideways and the noise is way > than the signal.
Enjoy it!
Attributable VolumeA volume indicator which calculates "Attributable Volume”, the portion of volume which contributed to the direction in which the candle moved.
Attributable Volume is calculated as: Total volume excluding the "counter wick" volume.
Where for a green (up) candle, the "counter wick" volume is the top wick volume.
In theory, Attributable Volume should better represent the effort of directional thrust of each candle.
By default, this indicator displays “Attributable RVOL”, but can be set to:
Attributable RVOL
RVOL
Attributable Volume
Volume
Note: RVOL = Relative Volume, the current volume divided by the Volume moving average. RVOL can be used to identify major moves, and potential starts/ends to trends.