Bollinger Band with Fib Golden Ratio (0.618)This startegy uses Fib level (0.618) of Bollinger Band for long entry. I find this is the only strategy which gives similar results on the different time frames. I have tested QQQ for 1H, 2H , 3H and 4H charts , all showed over 70% winning rate.
BB settings 50 , mult 1.5 (or you can use 2.5 or 3 )
Note: for the basis I have used VWMA instead of SMA .
BUY
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ema 50 is above ema 200
when the price close or low touches BB50(Fib0.615) lower band
Exit
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when the price crossover BB50(Fib0.615) upper band
Stop Loss
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Stop oss set to 5% , configurable
Strategy works similar to mean reversion style. When it touches the lower bans (which 0.615 level of the BB50) , it bounces from there.
Warning
=========
This strategy is for educational purposes only. Please do your own reserach for trading decissions.
Trend
LordPepe Stochastic SignalsThis is the Lord Pepe. Howdy. Basic buy/sell indicator to accumulate along a downtrend and release your stack during the uptrend and oversold levels of the stochastic. The buys should be used to stack, and sells indicate levels of profit taking, they do not signal a long term reversal, only < 25% of stack should be released on "OB" signals.
OB - overbought (sell)
OS - oversold (buy)
Ravih Pro Trend BreakoutThis is a Trend Breakout Strategy on “DAILY Time-frame”
This Strategy is designed keeping in mind with Medium to Long Term traders. The strategy works only on Daily Time-frame and on Closing Price.
The concept here is to identify assets with potential change in trend. Primary focus is to position for the big move. There are times... trying to catch every trend, many of which can be unprofitable especially in side-way market. However, the primary purpose of this strategy is to catch all the major trend movements, which are much more profitable than minor market losses in all the side-way market.
I’ve simplified it to make it user-friendly.
How to use?
Set it to Daily Time-frame.
Buy, Take Profit 1,2,3 and Exit signals are included on chart based on the current Trend direction. The system shows an Exit signal if the system’s exit conditions are met. It works only on Daily Time-frame and on Closing Price.
Dark Blue Up Triangle denotes Buy at the Closing Price. Entry Price is Closing Price or with + or – 2% tolerance of the Closing Price for the following market day.
Purple Down Triangle denotes Exit to close any remaining position to free up capital.
Little Green Up Triangles denote the Bulls are in Control and Overpowering the Bears and represents minor Buying opportunities with strong probability of continuing up-moves.
Setting Up Alerts
The user has the option to Setup Alerts for all chart signals that is…
For Buy, for Exit, for Take Profit 1 set at 24%, for Take Profit 2 set at 48% and for Take Profit 3 set at 72%
The user also has the option to adjust the Take Profit as per their desire. However, the predetermined Take Profit set for this strategy does work reasonably well.
Remember...
This strategy is only built for stocks. It is Not for Indices neither for any other financial instruments.
No SHORT signals in this strategy.
Donchian Channels Strategy by KrisWatersDoncian Channels is a trend tracking indicator developed by Richard Doncian. The upper line of the channel is determined by the highest value seen by the price in the defined period, the lower line of the channel is determined by the lowest value seen by the price in the defined period. The middle line takes the average value of the lower and upper channels.
Strategy Settings:
- Can apply only LONG positions.
- Can apply only SHORT positions.
- Use LONG/SHORT both.
- You can use ATR as a second exit condition. If ATR stop disabled, Donchian upper or lower channel value is use for the exit rule to long and short positions.
Strategy can be able to optimize by changing channel lengths and timeframe.
Statistical and Financial MetricsGood morning traders!
This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the perpetual future BTCUSDT, used as a proxy for the direction of cryptocurrency market)
By enabling "prevent repainting", the data retrieved from the compared symbol won't be on real time but they will static since they will belong to the previous closed candle
Here are the metrics you can have by storing data from a variable period of candles (by default 51):
✓ Variance (of the symbol on chart in GREEN; of the compared symbol in WHITE)
✓ Standard Deviation (of the symbol on chart in OLIVE; of the compared symbol in SILVER)
✓ Yelds (of the symbol on chart in LIME; of the compared symbol in GRAY) → yelds are referred to the previous close, so they would be calculated as the the difference between the current close and the previous one all divided by the previous close
✓ Covariance of the two datasets (in BLUE)
✓ Correlation coefficient of the two datasets (in AQUA)
✓ β (in RED) → this insight is calculated in three alternative ways for educational purpose (don't worry, the output would be the same).
WHAT IS BETA (β)?
The BETA of an asset can be interpretated as the representation (in relative terms) of the systematic risk of an asset: in other terms, it allows you to understand how big is the risk (not eliminable with portfolio diversification) of an asset based on the volatilty of its yelds.
We say that this representation is made in relative terms since it is expressed according to the market portfolio: this portfolio is hypothetically the portfolio which maximizes the diversification effects in order to kill all the specific risk of that portfolio; in this way the standard deviation calculated from the yelds of this portfolio will represent just the not-eliminable risk (the systematic risk), without including the eliminable risk (the specific risk).
The BETA of an asset is calculated as the volatilty of this asset around the volatilty of the market portfolio: being more precise, it is the covariance between the yelds of the current asset and those of the market portfolio all divided by the variance of the yelds of market portfolio.
Covariance is calculated as the product between correlation coefficient, standard deviation of the first dataset and standard deviation of the second asset.
So, as the correlation coefficient and the standard deviation of the yelds of our asset increase (it means that the yelds of our asset are very similiar to those of th market portfolio in terms of sign and intensity and that the volatility of these yelds is quite high), the value of BETA increases as well
According to the Capital Asset Pricing Model (CAPM) promoted by William Sharpe (the guy of the "Sharpe Ratio") and Harry Markowitz, in efficient markets the yeld of an asset can be calculated as the sum between the risk-free interest rate and the risk premium. The risk premium of the specific asset would be the risk premium of the market portfolio multiplied with the value of beta. It is simple: if the volatility of the yelds of an asset around the yelds of market protfolio are particularly high, investors would ask for a higher risk premium that would be translated in a higher yeld.
In this way the expected yeld of an asset would be calculated from the linear expression of the "Security Market Line": r_i = r_f + β*(r_m-r_f)
where:
r_i = expected yeld of the asset
r_f = risk free interest rate
β = beta
r_m = yeld of market portfolio
I know that considering Bitcoin as a proxy of the market portfolio involved in the calculation of Beta would be an inaccuracy since it doesn't have the property of maximum diversification (since it is a single asset), but there's no doubt that it's tying the prices of altcoins (upward and downward) thanks to the relevance of its dominance in the capitalization of cryptocurrency market. So, in the lack of a good index of cryptocurrencies (as the FTSE MIB for the italian stock market), and as long the dominance of Bitcoin will persist with this intensity, we can use Bitcoin as a proxy of the market portfolio
Rainbow Trend IndicatorThis is an indicator based on the MA rainbow concept. It is possible to choose between 15 or 20 MA's and if all 15 MA's is picked, the calculation will be calculated on 15 MA's and if 20 is picked the calculation is calculated on 20 MA's. The indicator will then be a line which is assigned a value from the calculation based on the MA's. If the line is above the dashed zero line, meaning the line's last value is a positive value, the price is in a uptrend and if the line is below the dashed zero line, meaning the line's last value is a negative value, the price is in a downtrend.
In short
If the line is green, the price is in a uptrend. If the line is red, the price is in a downtrend.
[astropark] Trend Skywalker V1 [strategy]Dear Followers,
today another awesome Swing and Scalping Trading Strategy indicator: Trend Skywalker !
It shows a trend cloud that reacts very fast to price action, so it's perfect for trending markets: it helps a lot to find out
when a trend is going to end and a new is going to start
when to enter again within a trending market
where to put your stoploss
In this example below you can see the three points above:
In fact in a trending market it will highlight that:
price consolidation within the could is a trend weakening signal , so you can easily spot when a trend is going to end and a new is going to start
bullish/bearish trend cloud retests are nice opportunity to re-enter within a trending market, especially if cloud is thick
where to put your stoploss ( below the cloud and/or recent low in a buy scenario , above the cloud and/or recent high in a sell scenario )
This strategy/indicator has the following options:
change analysis window (the lower, the more reactive; the higher, the less reactive)
enable/disable signals on chart
enable/disable "more confirmations" signals filter
enable/disable bars and background coloring based on trend
enable/disable an automatic Trailing Stop strategy option (Automatic Stops)
enable/disable a peak profit tracker (the max percentage profit labels)
enable/disable highlights of trend cloud retests
enable/disable highlights of trend cloud price breakouts
Here below some examples how the indicator works on many markets and timeframe.
ETH/USD 4h
EUR/USD 15m
LTC/BTC 1h
This strategy only trigger 1 buy (where to start a long trade) or 1 sell (for short trade).
Keep in mind that proper risk management and money management strategies are very important to manage your trades (DM me if you need any clarification on these points).
This script will let you backtest the strategy performance over the backtesting period you set in input (it may be a lower period, depending on tradingview candles limitation related to your account).
The one for setting alarms can be found by searching for the astropark's "Trend Skywalker" and then choosing the indicator with "alarms" suffix in the name.
Strategy results are calculated on the time window from February 2018 to now, so about 3 years, using 10000$ as initial capital and working at 1x leverage (so no leverage at all! If you like to use leverage, be sure to use a safe option, like 2x or 3x at most in order to have liquidation price very far).
This is not the "Holy Grail", so use proper money and risk management strategies.
This is a premium indicator , so send me a private message in order to get access to this script.
[TS] Trend MeterHOW IT WORKS
The meter consists of 5 Different Trend Indicators: Gann HILO Activator, ParabolicSAR, our custom TS Oscillator, our non-repainting/non-lagging Higher Timeframe Trend Indicator, plus our Market Sentiment Indicator
HOW TO USE
1. When the majority of the meters turn green, it is a sign the market is heading up.
2. When the majority of the meters turn red, it is a sign the market is going down.
- The user has the option to select how many meters must allign for a signal to show
- The indicator also has the ability to setup Alerts when the selected number of meters turn green or red. This feature is also signaled by the red or green vertical lines.
Linear Correlation OscillatorYou don't need loops to get the rolling correlation between an input series and a linear sequence of values, this can be obtained from the normalized difference between a WMA and an SMA of the input series.
The closed-form solutions for the moving average and standard deviation of a linear sequence can be easily calculated, while the same rolling statistics for the input series can be computed using cumulative sums. All these concepts were introduced in previous indicators posts long ago.
This approach can allow to efficiently compute the rolling R-Squared of a linear regression, as well as its SSE.
Using the rolling correlation as a trend indicator is often attributed to John Ehlers with the correlation trend indicator (Correlation As A Trend Indicator), but the applications of this precise method can be traced back quite a while ago by a wide variety of users, in fact, the LSMA can be computed using this precise indicator. You can see an example where the correlation oscillator appears below:
Hashrate to Securities RatioTMcV
HashSecRatio Original
January,30,2021
The Hashrate to securities ratio is a study to get a view on data flowing through the blockchain and can be applied to any asset available in Tradingview.
This indicator illustrates asset performance vs the moving average of BTC hash rate and accurately highlights price trend tops and bottoms allowing for excellent entry points in long and short trades highlighting overbought and oversold conditions in custom timeframes.
I will allow protected access for a short period of time to gather public opinion after that access will be limited to paid only.
For now if you would like to use this script please leave a comment and add to your favorite scripts.
Twin Optimized Trend Tracker Strategy TOTTAnıl Özekşi's new strategy which is a combination of 2 Optimized Trend Tracker lines which are vertical displaced from original version with a COEFFICIENT to cope with sideways' false signals which he explained in "Toy Borsacı İçin OTT Kullanım Kılavuzu 2"
original version of OTT:
OTT Strategy and Screener:
You can find a detailed explanation with subtitles from the developer of OTT Anıl Özekşi himself as: "Toy Borsacı İçin OTT Kullanım Kılavuzu 2"
SemaforHello Traders!
I have been away for a while but am recovering back gradually! Here is a gift to all of you.
It is based on the much loved ZigZag++ Script
The Semafor is used to spot future multi-level Supports and Resistance zones.
It is also useful to spot HL or LL or HH or LH zones at different Depth settings.
The red zones are the extreme places where the market has a higher chance of reversing while the green zones have the lowest setting with lower chances of the market reversal
To ease understanding of the code, I used the function `zigzag()` to show the simplicity in calculation
More will be coming this Year!
Volume Weighted SSL ChannelVolume-weighted SSl channel.
new concept of indicator that does not have in the entire library, different from SSL based on EMA or MA, this indicator can identify turns faster than a conventional indicator that only takes into account the price.
Enjoy and give the feedback.
On Balance Volume FieldsThe On Balance Volume (OBV) indicator was developed by Joseph E. Granville and published first in his book "New key to stock market profits" in 1963. It uses volume to determine momentum of an asset. The base concept of OBV is - in simple terms - you take a running total of the volume and either add or subtract the current timeframe volume if the market goes up or down. The simplest use cases only use the line build that way to confirm direction of price, but the possibilities and applications of OBV go far beyond that and are (at least to my knowledge) not found in existing indicators available on this platform.
If you are interested to get a deeper understanding of OBV, I recommend the lecture of the above mentioned book by Granville. All the features described below are taken directly from the book or are inspired by it (deviations will be marked accordingly). If you have no prior experience with OBV, I recommend to start simple and read an easy introduction (e.g. On-Balance Volume (OBV) Definition from Investopedia) and start applying the basic concepts first before heading into the more advanced analysis of OBV fields and trends.
Markets and Timeframes
As the OBV is "just" a momentum indicator, it should be applicable to any market and timeframe.
As a long term investor, my experience is limited to the longer timeframes (primarily daily), which is also how Granville applies it. But that is most likely due to the time it was developed and the lack of lower timeframe data at that point in time. I don't see why it wouldn't be applicable to any timeframe, but cannot speak from experience here so do your own research and let me know. Likewise, I invest in the crypto markets almost exclusively and hence this is where my experience with this indicator comes from.
Feature List
As a general note before starting into the description of the individual features: I use the colors and values of the default settings of the indicator to describe it. The general look and feel obviously can be customized (and I highly recommend doing so, as this is a very visual representation of volume, and it should suit your way of looking at a chart) and I also tried to make the individual features as customizable as possible.
Also, all additions to the OBV itself can be turned off so that you're left with just the OBV line (although if that's what you want, I recommend a version of the indicator with less overhead).
Fields
Fields are defined as successive UPs or DOWNs on the OBV. An UP is any OBV reading above the last high pivot and subsequently a DOWN is any reading below the last low pivot. An UP-field is the time from the first UP after a DOWN-field to the first DOWN (not including). The same goes for a DOWN field but vice versa.
The field serves the same purpose as the OBV itself. To indicate momentum direction. I haven't found much use for the fields themselves other than serving as a more smoothed view on the current momentum. The real power of the fields emerges when starting to determine larger trends of off them (as you will see soon).
Therefor the fields are displayed on the indicator as background colors (UP = green, DOWN = red), but only very faint to not distract too much from the other parts of the indicator.
Major Volume Trend
The major volume trend - from which Granville says, it's the one that tends to precede price - is determined as the succession of the highest highs and lowest lows of UP and DOWN fields. It is represented by the colors of the numbers printed on the highs and lows of the fields.
The trend to be "Rising" is defined as the highest high of an UP field being higher than the highest high of the last UP field and the lowest low of the last DOWN field being higher than the lowest low of the prior DOWN field. And vice versa for a "Falling" trend. If the trend does not have a rising or falling pattern, it is said to be "Doubtful". The colors are indicated as follows:
Rising = green
Falling = red
Doubtful = blue
ZigZag Swing count
The swing count is determined by counting the number of swings within a trend (as described above) and is represented by the numbers above the highs and lows of the fields. It determines the length and thus strength of a trend.
In general there are two ways to determine the count. The first one is by counting the swings between pivots and the second one by counting the swings between highs and lows of fields. This indicator represents the SECOND one as it represents the longer term trend (which I'm more interested in as it denotes a longer term perspective).
However, the ZigZag count has three applications on the OBV. The "simple ZigZag" is a count of three swings which mainly tells you that the shorter term momentum of the market has changed and the current trend is weakening. This doesn't mean it will reverse. A count of three downs is still healthy if it occurs on a strong uptrend (and vice versa) and it should primarily serve as a sign of caution. If the count increases beyond three, the last trend is weakening considerably, and you should probably take action.
The second count to look out for is five swings - the "compound ZigZag". If this goes hand in hand with breaking a major support/resistance on the OBV it can offer a buying/selling opportunity in the direction of the trend. Otherwise, there's a good chance that this is a reversal signal.
The third count is nine. To quote Granville directly: "there is a very strong tendency FOR MAJOR REVERSAL OF REND AFTER THE NINTH SWING" (emphasis by the author). This is something I look out for and get cautious about, although I have found signal to be weak in an overextended market. I have observed counts of 10 and even 12 which did not result in a major reversal and the market trended further after a short period of time. This is still a major sign of caution and should not be taken lightly.
Moving average
Although Granville talks only briefly about averages and the only mention of a specific one is the 10MA, I found moving averages to be a very valuable addition to my analysis of the OBV movements.
The indicator uses three Exponential Moving Averages. A long term one to determine the general direction and two short term ones to determine the momentum of the trend. Especially for the latter two, keep in mind that those are very indirect as they are indicators of an indicator anyway and I they should not necessarily be used as support or resistance (although that might sometimes be helpful). I recommend paying most attention to the longterm average as I've found it to be very accurate when determining the longterm trend of a market (even better than the same indicator on the price).
If the OBV is above the long term average, the space between OBV and average is filled green and filled red if below. The colors and defaults for the averages are:
long term, 144EMA, green
short term 1, 21EMA, blue
short term 2, 55EMA, red
Divergences
This is a very rudimentary adaption of the standard TradingView "Divergence Indicator". I find it helpful to have these on the radar, but do not actively use them (as in having a strategy based on OBV/price divergence). This is something that I would eventually pick up in a later version of the indicator if there is any demand for it, or I find the time to look into strategies based on this.
Comparison line
A small but very helpful addition to the indicator is a horizontal line that traces the current OBV value in real time, which makes it very easy to compare the current value of the OBV to historic values (which is a study I can highly recommend).
Ichimoku Trend DirectionThis script will help you detect the current trend of market use Ichimoku trading system. We use the default parameters.
To reduce risk, ONLY trade follow the trend of high time frame!
Very simple to use:
- Green background when market Up trend
- Red background when market Down trend
Have a nice trade! :P
trendOne [Strategy]BITSTAMP:BTCUSD
trendOne
(strategy-tester)
It is not recommended to use this script for generating alerts. Use "trendOne Alerts" instead.
This script combines all our previous trend-based scripts (Bows, Autopilot, Trend Indicator, Price Deviation, etc) in only one script .
To calculate the trend we use:
Volume Weight
Average True Range
Bows calculations
Trends smoothed with alma() function.
For more accuracy on the signals and to filter unwanted signals we layered slower time-frames in the background and added breaking support & resistance rules.
Inputs
Sensitivity
Integer input. Sets the sensitivity for signals generated up and down. Higher values will generate less signals on chart, and vice-versa.
Enjoy!
Disclaimer:
Back-tests do not guarantee performance on the future. Even if a trading setup is profitable in historical data, it could be unprofitable in the future.
To get access to this and other scripts check links below.