Qube [AstrideUnicorn]Qube is an indicator that shows market regimes. It is able to detect medium and long term trends and ranging markets. If the indicator bars are colored blue and are between the two blue lines, it means that the market is in sideways movement or consolidation. If indicator bars cross the upper boundary and are colored green, it means that the market is in an uptrend. Red bars crossing the lower blue line indicate a downward trend. The red or green columns are further referred as signal bars.
The indicator is based on the normalized momentum oscillator raised to the third power. This is done to increase the sensitivity of the indicator and to emphasize the difference between the market modes.
The indicator can be used in different ways. One of them is determining the trend direction based on the last signal bar. Even if the current indicator bar is blue (showing range or consolidation), the user should consider the longer-term market mode as upward if the last signal bar is green. And vice versa, if the last signal bar is red, the current market bias is downward. One other way to use the indicator is to catch active price impulses, when columns of the same color (red or green) appear consecutively.
Центральные осцилляторы
Directional Slope Strength IndexThe most basic of trend indicators is the price change over some period of time. Rate of change is the most common indicator to use which calculates the current price minus the price n bars back. I've written this indicator to solve several problems the default value of ROC.
1. We're interested in the magnitude or strength of the slope of change.
2. We need a number that we can make decisions from between 0 and something close to a peak of 10.
3. We need the ability to define a threshold where a directional change might be taking place.
The Directional Slope Strength Index solves these problems by taking 1000 samples of your given Rate of Change input and calculating a standard score (or z-score) which represents the number of standard deviations by which the current rate of change is above or below the historical average. A higher number represents a stronger move up and a lower (negative) number represents a stronger move down. A value closer to 0 would represent a sideways trend or the slowing of a current trend.
A potential threshold could be 2 or -2 which is two standard deviations from the mean ROC.
The inputs can be modified to control the sensitivity.
1. A lower ROC length would provide a more sensitive measure, but still measure how that sensitive input changes over 1000 samples.
2. I recommend keeping the sample rate at 1000 as that provides enough historical data to give a more accurate distribution and therefore a more accurate DSSI (z-score).
A number of decisions can be made from the indicator:
1. When the DSSI crosses above 2, it could be a sign of a strong move upward. When below -2 it could be a sign of a strong downward move.
2. When the DSSI persists in a positive or negative channel between 0 and 2 or 0 and -2 this could indicate the formation of the next trend.
3. Values outside 2 and -2 standard deviations should be interpreted as high volatility environments.
4. For convenience, a highest and lowest DSSI have been plotted to provide references to the historical extremes.
I'm open to any questions and feedback as this is a first, original indicator for me.
[blackcat] L3 Gann B-XtrenderLevel 3
Background
The Gann Slope indicator has been welcomed by the community since its release, and many people are trying to integrate it into their trading systems. One of these is the need to integrate Gann Slope into QuantTherapy's B-Xtrender @Puppytherapy.
Function
You can find QuantTherapy's script above , he recreated a trend following indicator published in IFTA Journal by Bharat Jhunjhunwala. It is mainly to be traded on big timeframes.
As requested, i replaced the oscillator part with my Gann slope oscillator. However, I found the setting for input parameters for B-Xtrender is rather complex, you need to take great care to tuning them for specific time frame and trading pairs. Pls don't be lazy to apply this indicator to your chart and expect good results. You have to try and find proper values of them to obtain acceptable results.
Remarks
Feedbacks are appreciated.
Altered OBV On MACDHere is another strategy along with an indicator that is already published for everyone to use wisely in the tradingview platform. The strategy is not very planned to highlight where to enter and when to exit as it is just a system. So, it is always good practice to follow the signal of simple moving averages and that is the reason you could find those color lines in this strategy as well.
As the indicator signals the entry point, it is wise to decide what the SMA (21, 50, 90, 200) signals us. When the price oscillated around the higher timeframe of moving averages, then it is wise to wait before entering.
OBV:
The OBV is perfect indicator to understand the strength of the particular stock. As the strength increase, the trend of the stock goes high along with price. But, the OBV is considered only with close of previous close which is to make sure the double confirmation on the price to accumulate the volume .
Altered OBV:
So, here is the altered OBV, which basically consider the close of previous close and also buying interested of the day when close is higher than open.
MACD:
I always admire the magic of MACD with pre-defined timeframe. Now, this MACD applied on top of altered OBV to signal us the moving of the ticker strength.
Long:
The long entry occurs when the MACD on Altered OBV signal bullish and the same time the MACD on close already bullish.
Short
The short denotes when the MACD on Altered OBV signal bearish and at the same time the MACD on close already bearish.
I hope this would help on your swing trading strategy.
Happy Investing.
stochastic + tsvStochastic, Stochastic RSI with TSV band indicator
This indicator uses 4 indicators to produce long/short entry signal. Buy/Sell signals are trigged only when every indicator points same direction.
Indicators and long/short condition for each indicator included in this script are as follows.
- EMA: long condition when close > ema 200, short for close < ema 200. Optional
- Stochastic: if stoch K touched oversold line, long condition would be activated until K crosses 50 line. From overbought to 50 for short condition.
- Stochastic RSI: Same with Stochastic
- TSV band: tsv > 0 for long, tsv < 0 for short.
Outback RSI & Hull [TTF]This indicator was originally made to help users following along with one of our strategies that we call The Outback (hence the name).
One of the component indicators of that strategy is an RSI with a Hull Moving Average added on top of the RSI as an additional reference for the momentum of the RSI. Many people either had difficulty setting this up correctly, or were having issues with the Indicator on Indicator component, so we built this indicator to assist in that regard.
As we continued to use it, we found it to be a pretty sound momentum indicator that had much to offer by enhancing the more normal RSI, and wanted to make this indicator generally available to the public.
The basic premise of this indicator is as follows:
The core is a traditional RSI with a "normal" (usually Simple) moving average
The "secret sauce" is adding a 2nd moving average (a Hull Moving Average, inspired by Insilico's awesome Hull Suite) based off the RSI
By leveraging the RSI's position relative to both the Simple and Hull moving averages, you can better gauge the relative strength of the current momentum, as well as better visualize longer-term momentum direction and strength based on the moving average slopes and direction.
Big Money Flow & Drift Oscillator [Spiritualhealer117]An easy way to track what big money and market makers are doing in the markets. The Big Money Flow & Drift Oscillator is best suited as a trend indicator, estimating what way the market will drift on low volume and what way it will move on large volume.
This oscillator is composed of two lines, the Big Money Flow and Drift Oscillator. The Big Money Flow line gives the average percentage return of the asset when the volume is greater than the EMA of volume, showing that big money is making moves in the market. The Drift Oscillator gives the average percentage return of the asset when the volume is less than the EMA of volume, where pricing is done by small money and market makers.
By default, between the two lines, there is a color fill, determined based on the following logic:
BMF > drift and BMF > 0: Yellow
drift > BMF and drift > 0: Beige
BMF > drift and BMF < 0: Orange
drift > BMF and drift < 0: Red
Exit-Willy AlertsThis is the Exit-Willy indicator. It issues Buy and Sell signals based on exit data from different moving averages and the Williams Percent R. It also has a LSMA filter. All values are adjustable. I like to use it with a higher Exit value being as it filters some of the false signals. There are multiple different settings to change and alter.
SUPER MACDthis indicator serves to differentiate the classic source of MACD and add the: DYNAMIC MACD and DYNAMIC BAND
with these inputs you can modify the inputs of the different Bar's, you can choose between:
Candles = classic Candles
Heikin Hashi
Kagi
Line break
Pointfigure
Renko
To use the Dynamic Macd and Band just check the box:
Use Dynamic Rsi??? = this input will change the Rsi in the Dynamic Rsi
Use Dynamic Band??? = this input will change the Bands to the Dynamic Band
Selecting the input: "Use Different Source ???" you can use a source with multiple elements of your choice:
2 = (Source 1 + Source 2) / 2
3 = (Source 1 + Source 2 + Source 3) / 3
4 = (Source 1 + Source 2 + Source 3 + Source 4) / 4
5 = (Source 1 + Source 2 + Source 3 + Source 4 + Source 5) / 5
Elder Ray (Bull Power) TP and SL Developed by Dr Alexander Elder, the Elder-ray indicator measures buying
and selling pressure in the market. The Elder-ray is often used as part
of the Triple Screen trading system but may also be used on its own.
Dr Elder uses a 13-day exponential moving average (EMA) to indicate the
market consensus of value. Bull Power measures the ability of buyers to
drive prices above the consensus of value. Bear Power reflects the ability
of sellers to drive prices below the average consensus of value.
Bull Power is calculated by subtracting the 13-day EMA from the day's High.
Bear power subtracts the 13-day EMA from the day's Low.
WARNING:
- For purpose educate only
- This script to change bars colors.
Crypto-DX Crypto Directional Index [chhslai]Crypto-DX can be used to help measure the overall strength and direction of the crypto market trend.
Furthermore, it can be used as a screener to find out cryptocurrencies which are accumulating momentum and tends to potentially pump or dump.
How this indicator works :
If the Crypto-DX cross above the zero-level, it could be an indication that there is a trend reversal into upward. You should close your short position or place a long order right away.
If the Crypto-DX cross below the zero-level, it could be an indication that there is a trend reversal into downward. You should close your long position or place a short order right away.
If the Crypto-DX is consolidated around the zero-level, it could be an indication that the trend may be ended and followed by a sideway market. You are suggested not to place any order and wait for the market moves.
Divergence based trading strategy is fully applicable, just like the MACD.
Screener features :
Plot "Crypto Index" and "5 Custom Crypto"
Plot "Crypto Index" and "Top 30 Crypto"
Point Of ControlStrategy and indicators are explained on the Chart.
Here's how i read the chart.
Entry:
1. Let the price close above the Ichimoku cloud
2. Price is above Volume Support zone
2. Make sure that momentum indicated with Green Triangles for Long Position
Exit:
1. Orange cross at the bottom of the candle indicates price is about to weaken
2. Best time to exit is Volume Resistance + Bearish(Hammer or Engulf )
PS: Use it along with R-Smart for better results
[blackcat] L3 Gradient Swings of Bull and BearLevel 3
Background
Some friends in the TradingView community say that my technical indicators are too complicated to write. Is there anything that is easy to use? This time I will publish a simple indicator to use.
Function
This indicator uses a custom stochastic indicator as its initial value. Calculate the difference between the short-term and long-term EMA moving averages twice. Find the geometric mean of the above values and calculate the variance value. According to this algorithm, two sets of variance values are calculated respectively, one is the fast line and the other is the slow line. Finally, the 22-period EMA of the fast and slow lines is used as the final output value. This output can effectively reflect the band characteristics of the price.
Because this output is relatively smooth, it can effectively filter out clutter noise, so you can clearly see the shape of the entire band. Go long during an uptrend and go short on the contrary. I use red and green gradients for longs and shorts respectively. The entry points are identified by red and green labels at the start of the band. In addition, the filtered peaks and troughs are also the basis for technical divergence judgments, so I added divergence identification lines.
The disadvantage of this indicator is that it is prone to many interference signals in the sideway stage. In order to filter out these signals and extract only useful trend signals, the user can enter a threshold in the settings dialog and select an appropriate display threshold in combination with the amplification factor. This way the part between 0 and the threshold will be grayed out. The gray area is the sideway, where the signal can be ignored.
Remarks
Feedbacks are appreciated.
Quick and Simple - WPR+RSI+CCITake a look.
Couple of confluencial reversal signals from popular indicators (W%R, RSI & CCI). I can only say this shows how random the "stanard tools" are and how the market makers "play" these kind of tools to their advantage.
That said. It's better tha average, but not top-class, so expect to have to take signals with other confluence. DON'T take the plots or signals as buy / sell signals, they are just confluencial movements from these indicators based on how they should be "traditionally" used. Instead, use it as a guide as to what other traders may be thinking, or as a pull-back identifier.
Included 100 period ema as basic trend filter.
Not my normal type of script + been away for some time so be kind, lol :)
You might find it useful however so sharing.
More stuff to follow :)
[blackcat] L3 God Hunter ScalpingLevel 3
Background
An ultra-short scaler that I integrate with multiple custom function implementations. Because of its responsiveness it is suitable for small cycle applications.
Function
The first technical indicator to integrate is the stoch. By combining the stoch indicators of long and short periods, I can not only ensure its high-speed reaction speed, but also be compatible with stability.
The second is the improved KDJ indicator to further strengthen buying and selling conditions. Because the final trend output is relatively fast, I used a variety of long-short conditions to improve adaptability. and minimize noise. It is well known that price fluctuations in small cycles are more random.
The third feature is the classification of buying and selling points, not only through the reversal of the trend curve, but also several other buying and selling point conditions, oversold and overbought signals, signal divergence techniques, etc.
Finally, through the nested RSI, the momentum trend strength of the trend signal is represented by a gradient color to assist in judging whether the reversal point is approaching.
Remarks
For differnent instruments and time frames, overbought and oversold threshold should be adjusted accordingly, or it may not work well.
Feedbacks are appreciated.
Cutlers RSICutlers' RSI is a variation of the original RSI Developed by Welles Wilder.
This variation uses a simple moving average instead of an exponetial.
Since a simple moving average is used by this variation, a longer length tends to give better results compared to a shorter length.
CALCULATION
Step1: Calculating the Gains and Losses within the chosen period.
Step2: Calculating the simple moving averages of gains and losses.
Step3: Calculating Cutler’s Relative Strength (RS). Calculated using the following:
-> Cutler’s RS = SMA(gains,length) / SMA(losses,length)
Step 4: Calculating the Cutler’s Relative Strength Index (RSI). Calculated used the following:
-> RSI = 100 —
I have added some signals and filtering options with moving averages:
Trend OB/OS: Uptrend after above Overbought Level. Downtrend after below Oversold Level.
OB/OS: When above Overbought, or below oversold
50-Cross: Above 50 line is uptrend, below is downtrend
Direction: Moving up or down
RSI vs MA: RSI above MA is an uptrend, RSI below MA is a downtrend
The signals I added are just some potential ideas, always backtest your own strategies.
Harris RSIThis is a variation of Wilder's RSI that was altered by Michael Harris.
CALCULATION
The average change of each of the length's source value is compared to the more recent source value.
The average difference of both positive or negative changes is found.
The range of 100 is divided by the divided result of the average incremented and decremented ratio plus one.
This result of the above is subracted from the range value of 100
I have added some signals and filtering options with moving averages:
Trend OB/OS: Uptrend after above Overbought Level. Downtrend after below Oversold Level (For the traditional RSI OB=60 and OS=40 is used)
OB/OS: When above Overbought, or below oversold
50-Cross: Above 50 line is uptrend, below is downtrend
Direction: Moving up or down
RSI vs MA: RSI above MA is an uptrend, RSI below MA is a downtrend
The signals I added are just some potential ideas, always backtest your own strategies.
TMO ArrowsTMO - (T)rue (M)omentum (O)scillator) MTF Arrows
Do you want to use TMO but you lack space on the chart? This study is just for you. This is the more user-friendly version of the TMO Oscillator. In terms of the indicator there are no changes except the indicator is converted in to the simple arrows.
There are Four Types of Arrows:
1. TMO Arrow Up - Visualizes the TMO bullish crosses.
2. TMO Arrow Down - Visualizes the TMO bearish crosses.
3. TMO Arrow Up (Oversolds Only) - Visualizes only the bullish crosses that are at or below the oversold zone.
4. TMO Arrow Down (Overboughts Only) - Visualizes only the bearish crosses that are at or above the overbought zone.
In case you only want the arrows for extremes, turn off the Arrow Up / Arrow Down first. Arrows for extremes only are turned off by default.
Hope it helps.
MTF TMOTMO - (T)rue (M)omentum (O)scillator) MTF (Higher Aggregation) Version
TMO calculates momentum using the DELTA of price. Giving a much better picture of the trend, reversals & divergences than most momentum oscillators using price. Aside from the regular TMO, this study combines four different TMO aggregations into one indicator for an even better picture of the trend. Once you look deeper into this study you will realize how complex this tool is. This version also produce much more information like crosses, divergences, overbought / oversold signals, higher aggregation fades etc. It is probably not even possible to explain them all, there could easily be an entire e-book about this study.
I have been using this tool for a couple of years now, and this is what i have learned so far:
Favorite Time Frame Variations:
1. 1m / 5m / 30m - Great for intraday futures or options scalps. 30m TMO serves as the overall trend gauge for the day. 5min dictates the longer term intraday moves as well as direction of the 1min. 1min is for the scalps. When the 5min TMO is sloping higher focus should be on 1min buy signals (red to green cross) and vice versa for the 5min agg. sloping down.
2. 5m / 30m / 60m - Also an interesting variation for day trading the 3-5 min charts. Producing more cleaner & beginner-friendly signals that lasts couple of minutes instead of seconds.
3. 120m / Day / 2 Day - For the 30m to 1H or 2H timeframes. Daily & 2 Day dictates the overall trend. 120 min for the signals. Great for a multi-day swings.
4. Day / 2 Day / Week - Good for the daily charts, swing trading analysis as the weekly dictates the overall trend, daily dictates the signals and the 2 day cleans out the daily signals. If the daily & 2 day are not aligned togather, daily signal means nothing. Weekly dictates 2 day - 2 day dictates daily.
5. Week / Month / 3 Month - Same thing as the previous variation but for the weekly charts.
TMO Length:
The default vanilla settings are 14,5,3. Some traders prefer 21,5,3 as the TMO length is litle higher = TMO will potenially last little longer which could teoretically produce less false signals but slower crosses which means signals will lag more behind price. The lower the length, the faster the oscillator oscillates. It is the noice vs. the lag debate. The Length can be changed, but i would not personally touch the other two. Few points up or down on length will not drastically change much. But changes on Calc Length and Smooth Length can produce totally different signals from the original.
Tips & Tricks:
1. Observe
- This is the best tip & trick I can give you. The #1 best way to learn how any study operates is to just observe how it works in certain situations from the past. MTF TMO is not
an exception.
2. The Power of the Higher Aggregation
- The higher aggregation ALWAYS dictates the lower one. Best way to see this? Just 2x the current timeframe aggregation = so on daily chart, plot the daily & two day TMOs and you will notice how the higher agg. smooths out the current agg. The higher the aggregation is, the smoother (but slower) will the TMO turn. The real power kicks in when the 3 or 4 aggregations are aligned togather in one direction.
3. Position of the Higher Aggregation in Relation to the Extremes
- Overbought / oversold signals might not really work on the current aggregation. But pay attention to the higher aggregations in relation to the extremes. Ex: on the daily chart - daily TMO inside the OB / OS extremes might not mean much. But once the higher aggregations such as 3 day or Weekly TMO enters OB/OS zone togather with the daily, this can be a very powerful signal for a TMO reversion to the zeroline.
4. Crosses
- Yes, crosses do work. Personally, I never really focused on them. The thing about the crosses is that it is crucial to pick the right higher aggregation to the combination of the current one that would be reliable but also print enough signals. The closer the cross is to the OB / OS extremes, the more bigger move can occur. Crosses around the zero line can be considered as less quality crosses.
5. Divergences
- TMO can print awesome divergences. The best divergences are on the current aggregation (TMO agg. same as the chart) since the current agg. oscillates fast, it can usually produce lower lows & higher highs faster then any higher aggregations. Easy setup: wait for the higher aggregation to reach the OB / OS extremes and watch the current (chart) aggregation to print a divergence.
6. Three is Enough
- I personally find more than three aggregations messy and hard to read. But there is always the option to turn on the 4th one. Just switch the TMO 4 Main, TMO 4 Signal and TMO 4 Fill in the style settings.
Hope it helps.
Strategy Myth-Busting #6 - PSAR+MA+SQZMOM+HVI - [MYN]This is part of a new series we are calling "Strategy Myth-Busting" where we take open public manual trading strategies and automate them. The goal is to not only validate the authenticity of the claims but to provide an automated version for traders who wish to trade autonomously.
Our sixth one we are automating is " I Tested ''7% Profit Per Day" Scalping Strategy 100 Times ( Unexpected Results ) " from " TradeIQ " which claims to have made 175% profit on the 5 min chart of BTCUSD with a having a 61% win rate in just 32 days.
Originally, we mimicked verbatim the indicators and settings TradeIQ was using however weren't getting promising results anything close to the claim so we decided to try and improve on it. We changed the static Parabolic SAR to be adaptive based upon the timeframe. We did this by using an adjustable multiplier for the PSAR Max. Also, In TradeIQ's revised version he substituted Hawkeye's Volume Indicator in lieu of Squeeze Momentum. We found that including both indicators we were getting better results so included them both. Feel free to experiment more. Would love to see how this could be improved on.
This strategy uses a combination of 4 open-source public indicators:
Parabolic Sar (built in)
10 in 1 MA's by hiimannshu
Squeeze Momentum by lazybear
HawkEYE Volume Indicator by lazybear
Trading Rules
5m timeframe and above. We saw equally good results in the higher (3h - 4h) timeframes as well.
Long Entry:
Parabolic Sar shifts below price at last dot above and then previous bar needs to breach above that.
Price action has to be below both MA's and 50MA needs to be above 200MA
Squeeze Momentum needsd to be in green or close to going green
HawkEYE Volume Indicator needs to be show a green bar on the histagram
Short Entry:
Parabolic Sar shifts above price at last dot below and then previous bar needs to breach below that.
Price action needs to be above both MA's and 50MA needs to be below 200MA
Squeeze Momentum needsd to be in red or close to going red
HawkEYE Volume Indicator needs to be show a red bar on the histagram
If you know of or have a strategy you want to see myth-busted or just have an idea for one, please feel free to message me.
Chop and explode (ps5)Description : This is a renovated version of my previous mod that was based on the original script from fhenry0331.
Added are:
a data cleaning function
a seasonal random index function
an updated scaler and
a signalling procedure.
-
The following description is moved here from the old script.
The purpose of this script is to decipher chop zones from runs/movement/explosion spans. The chop is RSI movement between 40 and 60. Tight chop is RSI movement between 45 and 55. There should be an explosion after RSI breaks through 60 (long) or 40 (short). Tight chop bars are colored gray, a series of gray bars indicates a tight consolidation and should explode imminently. The longer the chop the longer the explosion will go for. The tighter the better. Loose chop (jig saw/gray bars on the silver background) will range between 40 and 60. The move begins with green and red bars.
Couple it with your trading system to help stay out of chop and enter when there is a movement.
Open Interest StochasticStochastic Money Flow Index(MFI) using open interest instead of volume.
Open Interest data for Binance, Bitmex, and Kraken
EMA and MACD with Trailing Stop Loss (by Coinrule)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.
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence ( MACD ) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
The Strategy enters and closes the trade when the following conditions are met:
LONG
The MACD histogram turns bearish
EMA7 is greater than EMA14
EXIT
Price increases 3% trailing
Price decreases 1% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include XRPUSDT on the 1-minute timeframe. This short timeframe means that this strategy opens and closes trades regularly
In order to further improve the strategy, the EMA can be changed from 7 and 14 to, say, EMA20 and EMA50. Furthermore, the trailing stop loss can also be changed to ideally suit the user to match their needs.
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.
