RSI by zdmreTraditional interpretations and usage of the RSI dictate that values of 70 or above suggest that a security becomes overbought or overvalued and may be primed for a trend reversal or corrective price pullback. An RSI reading of 30 or below indicates an oversold or undervalued condition.
30 = Oversold
70 = Overbought
Thanks @DieGobelMonte for your suggestion.
Cerca negli script per "30年国债收益率"
Bias RatioA simple indicator, but look like no one share, so I build it.
The description is copy from: baike.baidu.hk
The bias ratio is an indicator used in finance to analyze the returns of investment portfolios, and in performing due diligence.
Eight key points:
1. The deviation rate approaches zero
When the deviation rate between the stock price per share and the average line reaches the maximum percentage, it will approach the zero value, or even be lower than or higher than zero, which is a normal phenomenon.
2. 30-day average deviation rate
When the deviation rate of the stock price and the 30-day average line exceeds +16%, it is an overbought phenomenon, which is the time to sell; when it reaches below -16%, it is an oversold phenomenon and it is a time to buy.
3. The deviation rate is high
Due to the influence of the fierce battle between long and short positions, individual stocks are prone to deviate from various averages, but the number of occurrences is not large.
4. Characteristics of positive and negative deviation rate
The deviation ratio can be divided into positive deviation ratio and negative deviation ratio. If the stock price is above the average line, it is positive deviation; if the stock price is below the average line, it is negative deviation; when the stock price intersects the average line, the deviation ratio is zero. The greater the positive divergence rate, the greater the short-term profit, the higher the possibility of profit taking; the greater the negative divergence rate, the higher the possibility of short covering.
5.10-day average deviation rate
When the deviation rate between the stock price and the 10-day average line exceeds +8%, it is an overbought phenomenon, which is the time to sell; when it reaches below -8%, it is an oversold phenomenon and it is a time to buy.
6. Application of negative deviation rate
In case of negative divergence in the rising market, you can buy at the falling price, because the risk of entering the market is small.
7. Positive deviation rate application
If there is a positive deviation in the general downward trend, you can hold it back and sell it at a high price.
8. Skyrocketing
A boom in a bull market and a plunge in a bear market can lead to divergences of unexpected percentages, but they occur very rarely and for a short period of time, and can be considered a special case.
Accurate BUY & SELL 5 mins TF by RRAlways trade using 5 mins Time frame of chart.
For Buy entry always buy 1 point above the candle closing price & SL would be previous candle low or 30 points.
For Sell Entry Always Sell 1 point below the candle opening price & SL would be previous candle high or 30 points.
Do not take trades using 3 mins Time frame, as there is lot of noise. It works best with 5 mins Time frame.
I have adjusted/set according my trading pattern, if needed use the settings options to set accordingly .
Removed range highlighter to keep the chart simple.
Original Version credits to ZacVaughn
Actual Version i just set alerts and change the parameters for Crude OIL 5min Chart.
NO REPAINT.
Wait For Barclose
Volume Pace & Pressure TableHave you ever wanted to know if a particular tickers volume is above or below average while still in the trading day? This indicator displays an easy-to-read table that informs the user exactly what is occurring in intraday volume. And a whole lot more!
Description
This indicator displays a variable table with either two or three columns and always three rows. It packs everything a user needs to know about volume in one small table. The table shows:
Current trading days volume
Average daily volume
Volume Pace
Volume Pressure (Buying & Selling)
Volume Pace
Volume Pace is a mathematical calculation invented by the author, Infinity_Trading . The problem was to figure out a way to know if the current days volume was below average or above average while still in the trading day. Calculations like Percent Daily Volume don’t work during the intraday trading hours. For example, say SPY has a 20-day volume average of 100 million shares. If in the first hour SPY has only traded 10 million shares then dividing the current volume into the average daily volume doesn’t tell the user anything when there is still 5.5 hours of trading left in the trading day. There had to be a better way! The solution was to chop up the trading day into evenly divisible time periods (i.e. <= 30 minutes). The Volume Pace algorithm takes the average daily volume and chops it up into small time periods based upon the charts current timeframe. This is the average volume per smaller time period. Then use the current days volume and the number of time periods that have occurred in the trading day so far (at the current moment in time i.e. the current candlestick) to form a calculation that returns the volume above or below the average volume up to that point in time.
Volume Pace Equations
Intraday Vol. Pace = Today’s Current Vol. - ( ( Average Daily Vol. / Time periods in trading day ) * Time periods that have occurred so far in trading day )
Postday Vol. Pace = Today’s Trading Vol. - Average Daily Vol.
^ Vol. = Volume (because TradingViews pine tags are dumb)
Volume Pace Definitions
Volume Pace is the difference in cumulative volume between todays current volume and the average daily volume up to same time of the day
Volume Pace Usage
If the Volume Pace is a positive number then it means that up to the current trading time the volume is that amount greater than the average daily volume over that same intraday time span.
If the Volume Pace is a negative number then it means that up to the current trading time the volume is that amount smaller than the average daily volume over that same intraday time span.
If the Volume Pace is positive during the intraday then the volume is on track to be an above average volume trading day.
If the Volume Pace is negative during the intraday then the volume is on track to be a below average volume trading day.
The Percent Volume Pace is the percent increase or decrease of the current volume compared to the average volume up to the same time of day. Or the Percent Volume Pace is the Volume Pace expressed as a percentage.
After the trading day is complete the Volume Pace will be the difference between the Daily Volume and the Average Daily Volume. And the same thing applies to the Percent Volume Pace.
Volume Pressure
The author, Infinity_Trading, did not invent the calculations for Volume Pressure but the definitions and explanations of Volume Pressure are their own creations. In specific terms, Volume Pressure is a mathematical calculation that uses the direction and distances of individual candlesticks bodies and wicks to assign a numerical value to volume.
buyingPressure = vol * (close - low) / (high - low)
sellingPressure = vol * (high - close) / (high - low)
^ vol = Volume (because TradingViews pine tags are dumb)
The author wants to make clear that volume “pressure” isn’t a real thing. Trades in any market require a buyer and a seller. So there is always an equal number of buyers and sellers. Thus, the idea that there are more buyers or more sellers isn’t rooted in reality. BUT the author believes that the calculation and understanding of “volume pressure” takes a very complex subject (price moment in a market) and condenses into something that intuitively makes sense to humans (pressure) and places it onto something that is already on everyone’s charts (volume bars).
The calculation for Buying Pressure is really calculating the upward distance between the low and the close of the candle. While Selling Pressure is measuring the downward distance from the high to the close. And both are using volume bars to express these measurements. So if an individual candle goes down then the red Selling Pressure will be more on the stacked bar chart than the green Buying Pressure. And vice versa for candles that went up. If a Volume Pressure bar is completely one color then it means, for a downward candle, the low and close were equivalent, and for an upward candle, the high and the close were the same. Lastly, the Buying & Selling Pressure will always add up to 100%.
Inputs and Style
In the Input section the user can set the number of days to use for all of the average calculations. All aspects of the table can be controlled. The background color, text color, border widths, and border colors. Also, the table can be moved to 9 unique locations around the chart for complete user control. Also, the user can use their cursor to hover over each cell in the table to reveal a tooltip definition of the calculation in the cell.
Special Notes
The volume table won’t display when the chart timeframe is weekly or monthly because the logic uses “daily” volume.
The Volume Pace column in the table disappears when the timeframe is greater than 30 minutes. Because for Volume Pace to work the time periods must be equally divisible into 6.5 hours (the duration of trading day).
DayTradingFutures Cross-StrategyOVERVIEW
This indicator was designed to help beginners use a cross over strategy that can be used for entries, exits and to for trend direction.
█ COMPONENTS
Here is a brief overview of the indicator:
Weighted Moving Averages
I find that by using a weighted moving average ( WMA ) to show a crossover, is very close to using a MACD signal line cross or using a RSI signal crossing over the 50/Mid Line. In my main strategy, I use the 5period (fast) and with the crossing of the 20period (slow) WMA for entries and the 50period WMA to show the short term trend. Please note, that I use the 50 period for day trading, if you are using a swing trade or plan on holding positions long term, a higher period may be preferred . All of the moving averages are customizable by color, length, and timeframe. **I feel comfortable trading this strategy at the 5min,10min, and 15min charts.
1 — 5 WMA- this is the white moving average closest to price and is the first part of our small cloud.
2 — 20 WMA - this is the yellow moving average and is the second part of or small cloud.
3 — 50 WMA - this is the directional trend.
Moving Average Clouds
The cloud (which is optional) appears when the trader should be looking to go Long or Sell Short. The dividing line is when both the 5 and 20 periods are over the 50 period.
Trade Management
This is a tool to help with setting your stop loss, break even, and target levels. Currently you can set these based on the current ATR ( Average True Range ).
The “Buy” and “Sell” signals are the ATR indicator based on your risk tolerance (fully customizable). Different ticker symbols will require different ATR values, please back test! When applying your stop loss, drag the stop line to small arrow of the signal callout.
Trading Session
The indicator was designed for beginners to trade during the New York Session (08:30 – 16:00 CST). However, the indicator will ONLY show signals AFTER opening and BEFORE close (09:00 – 14:30 CST). The reason for this is that there is greater volatility during the open and I do not recommend to be in a trade at the end of the session.
Buy and Sell Alerts
Alerts can also be set, when an entry can be made. This prevents a person from having to watch the charts for an extended period of time.
Faults of this strategy:
Time of RANGES/CONSOLIDATION periods and EXTREME VOLITITY KILLs this strategy!! Do not trade this strategy during these periods!!
Disclaimer:
NO strategy is 100% effective! I am not responsible for any loss trades or malfunctions of this code. I recommend to paper trade any new strategy before trading with real money! I am not a financial advisor, trading can be very risky!
Customizable Volume DetailsThis script allows you to gain insight into volume such as differentiating between buy and sell volume, 30 day average, 30 bar average, and more.
JPMorgan VIX Buy SignalJPMorgan Chase & Co. strategists have identified what they say is a near bulletproof indicator to strengthen their argument that stock markets are poised to rally.
The buy signal is triggered when the Cboe Volatility Index (VIX) rises by more than 50% of its 1-month (30 day) moving average, which it last did on January 25th 2022, according to the strategists led by Mislav Matejka. The indicator has proven 100% accurate outside of recessions over the last three decades.
Instructions:
Symbol - VIX
Timeframe - Daily
Red Triangle - Close / 30 Day SMA >= 1.5
Multiple HMA Original Indicator Script for calculation and color change Hull Ma written and published by huyfibo
I found his version preferable and superior due to the method of mathematics used to get the Hull Ma
I have duplicated huyfibo's calculation for 1 line multiple times, changed variables on each one to create 12 total lines, and customized the color and width of each to help them be identifiable on the 1 minute chart.
This indicator was requested and written for a study to replace multiple SMA's with Hull MAs to compare accuracy as the Hull has much less lag.
As you can see on the above chart, it displays both the 200(1 min) and 1000 ( 5 min) HMA in gold . If user was watching the 1 min chart expecting price to resist at the 200, it would not hold. Although on the 5 min chart it does. This combination gives the user the expectation that price could jump the first line and resist at the second, which it does here.
Combining multiple lines into 1 also to take up much less room at the top of the chart for cleaner visual.
Default values are as such so that the user can have 5 min values displayed on a 1 min chart, as well as the equiv of 200 on the 30 min chart for the 2 and 4 hour.
This is a simply a matter of convenience for the study and can be unchecked to be hidden.
Coded colors and lengths are to visually discern comparable values. Both 1 and 5 min timeframes are the same color, but 1 min timeframe value has larger linewidth
Hull # 10 and 11 are intended for 30 min timeframe and should be unchecked for anything less as their value with be invalid.
All period values, color combinations, and line width can be changed in the the input menu.
SAR+RSI+EMAs SignalsNOTE:
Indicator based strategies may expire and begin to work again. There are various ways to check the expiration of these strategies but I suggest equity curve trading (EC trading) as the best one.
Please check every single indicator based strategy to see if it’s still profitable or it has been expired to avoid losses.
Principles:
I personally believe every profitable indicator-based setup need 3 factors. Actually I analyze indicator-based set up in this way!
1- Trend detector: a tool that detect the “trend”.
2- Oscillators (Discount finder): a tool that detects “discounts” in the direction of the trend.
3- Stimulus: A tool that indicates the Initiation of a movement.
There may be profitable strategies that do not use all three, because other factors are strong enough to lead us to profit, but they are rare and sometimes they hide the other forgotten factor in the main two ones.
Elements:
(Since most of traders here, are familiar with these famous indicators I will not take your time to write about their uses and formula)
SAR: As a Trend detector, regarding position of close and SAR
EMA 7 and EMA 21: As trend detectors, regarding position of EMA 7 as fast “moving average” and EMA 21 as slow one. Also we need another confirmation for trend regarding EMA 7 and closing price of the signal candle.
RSI: In this strategy RSI is used both as a discount finder and a stimulus.
For RSI being over/under 50, regarding the trend, a possible discount may have been occurred. Imagine these conditions: close>EMA7, EMA7>EMA21, close>SAR and simultaneously RSI being under 50 is really a sign of powerful uptrend which it’s RSI decreasing might be a sign of corrective move, which will be following a bullish impulsive move.
The other use of RSI is to stimulate a buy signal by “crossing” over 50 or 30 (50 as balanced point of momentum and 30 as a sign of ending an oversold) or stimulate a sell signal by “crossing” under 50 or 70 (50 as balanced point of momentum and 70 as a sign of ending an overbought).
Entry point: you can use one of the followings.
1- Open of the next candle
2- EMA 7
3- Open of the signal candle
(Totally optional but “open of the next candle” is suggested by me.)
SL: Use one of the followings.
1- SAR or some pips (regarding ATR Or your experience of this trading instrument’s fluctuations in this time frame) below the SAR
2- Fixed amount (regarding ATR Or your experience of this trading instrument’s fluctuations in this time frame)
3- Use EMA21 as dynamic SL (if a candle far enough from the initiative candle close over (for sell) below ( for buy)
Again number 1 is suggested by me.
TP: Use one of the followings.
1- Use static levels or zones of support and resistance as TP.
2- Use dynamic levels for instance band of BB or moving averages (Moving the SL is possible).
3- Use fixed R to R
And I believe static zones of support and resistance work better.
Examples:
I indicate a buy signal on the chart!
Using local level as TP worked just good.
Using EMA was better in this case.
And using a riskier level or a fixed R to R is obvious in the chart!
Since in the range markets, this strategy may not work well and at the same time, TP to SL might be too small to be worth the risk, I prefer to use levels to filter range market conditions!
I convert all those circumstances to a simple buy and sell signs on the chart!
EMA21 and SAR are still visible because it is possible that traders use them for their TP and SL.
This is how it look without EMA21 and SAR!
Another screenshot of this strategy!
I also add a check box to filter signals by another trend detector. MATD created by me to help traders detect trend!
As it’s visible, some profitable signals filtered too, but using a longer-term trend detector as an additional one, alongside the double EMAs is very useful for this strategy.
The other box “use high&low instead of close for fast EMA” makes the “EMA7 and close” trend detector an easygoing one!
Almost everything is editable here!
*** I did not invent this strategy, you can find it for free on net ***
I'll change it to a "strategy" instead of an indicator if reader like to!
Indicator Visualizer V1.0This is a script so that you can visualize crossover/under indicators on the chart as zones/boxes or as lines.
By default the source is "Close". When the source is Close and the default RSI is checked, then the indicator will visualize crossover and under from a 14 period RSI as shown in the published chart.
How this indicator works:
Add the indicator you want to visualize to the chart, and this indicator.
Open this indicator and set the source to the indicator you want to visualize, then set the levels you want to visualize the crossovers for.
Using the default as an example
When the RSI crosses above level 1 (default 70) then it will begin plotting a "Cross Over" box.
Each bar that the RSI remains above level 1 it will adjust the top of the box and the right side of the box.
When RSI crosses back below level 1 then the box will stop adjusting and end on that bar.
Using the default as an example
When the RSI crosses below level 2 (default 30) then it will begin plotting a "Cross Under" box.
Each bar that the RSI remains below level 2 it will adjust the bottom of the box and the right side of the box.
When RSI crosses back above level 2 then the box will stop adjusting and end on that bar.
If you want to use lines they will be drawn from the close of the starting bar to the close of the current/end bar.
You are able to set an extension for the lines if you would like them to extend a specific amount past the close bar. (I.E. 1,2,or 3 bars)
If you wish to use the source as close, then you must uncheck the Default RSI box.
RVOL Relative Volume - IntradayHello All,
Relative Volume is one of the most important indicators and Traders should check it while trading/analyzing. it is used to identify whether the volume flows are increasing or decreasing. Relative volume measures current volume in relation to the “usual” volume for this time of the day. What is considered “usual"? For that, we have to use a historical baseline known as the average daily volume. That means how much volume a security does on a daily basis over a defined period. (This scripts runs on the time frames greater or equal 1 minute and less than 1 day)
The common definition for real-time relative volume is: Current volume for this time of day / Average volume for this time of day. It does not mean taking the volume (for example) from 10:30 am to 10:45 am and comparing it to what it does from 10:30 am to 10:45 am every day. What it truly means is to compare cumulative volumes. Therefore, this is the precise definition of real-time relative volume:
Current cumulative volume up to this time of day / Average cumulative volume up to this time of day
What should we understand while checking RVOL;
- Relative volume tell us if volume flows are increasing or decreasing
- A high relative volume tells us that there is increased trading activity in a security today
- Increased volume flows often accompany higher volatility i.e. a significant price move
Let see an example:
P.S. if you want to get more info about RVOL/Relative Volume then you can search it on the net. While developing the script this was used as reference, you can also check it for more info.
Enjoy!
Contrarian Scalping Counter Trend Bb Envelope Adx and StochasticContrarian Scalping is an trading strategy designed to take advanted of a counter-trend.
The advantage of these strrategies types is that they have a good profitability but with do not great gain (in relation at the time frame).
Indicators used:
Bollinger
Envelope
ADX
Stochastic
Rules for entry
For short: close of the price is above upper band from bb and envelope, adx is below 30 and stochastic is above 50
For long: close of the price is below lower band from bb and envelope, adx is below 30 and stochastic is below 50
Rules for exit
For short: either close of the candle is below lower band of bb or enveloper or stochastic is below 50
For long: either close o the candle is above upper band of bb or envelope or stochastic is above 50
If there are any questions let me know !
Ichimoku ScreenerChecks the status of Ichimoku Cloud for 30 coins/stocks.
It may take several seconds ( around 30 sec ) to load.
PYRAMIDING BTCUSDTPERP1H [ALERTS VERSION]BINANCE:BTCUSDTPERP
Hello
This my upgraded (ALERTs) version of my previous bots, uses diffrent indicators
WARING
THIS STRATEGY WORKS ONLY ON BTCUSDTPERP ON BINANCE 60MIN (like my previous ones) !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- it depends on specyfic volume and wick based on binance
Soo, I was tried to make a bot with more trades to make more real results.
Trends are change, and the problem with configuration on bots is that, while we searching the best cofigurations , this was best configuration in the past,
to prepare bot for the futures moves , we have to make as much trades as possible.
This bot is pure definition of pyramiding, uses 2 entries, and when all the conditions are true, then will open a trades
The way it works is simple, bot use 6 difrent indicators to open longs/shorts and for the define trend
This specific configuration works the best at
TP: 1.4%
SL: 9%
This is bot only for lev 1x
Dont try it for bigger leverage, becouse when sl hits, which sometimes happend, the lost will be huge
Why sl is so big?
Bot is programed to replace sl with other entries
for example
close longs and open shorts
normal lose is around 3-5% (while trend is changed), so sl will only destroys results
this bot using 6 difrent indicators:
ADX
RSI
VOLUME
RANGE FILTER
MA 5-10-30
MACD by KivancOzbilgic
ADX - makes a solid view to trend without any scam wick :
Long only on green bars
Shorts only on red bars
That's helps my strategy to define a right trend
there is also a orange option for unidentified trends
RSI - value helps strategy to stop trade in right time
When RSI is overbought strategy don't open new longs
also when RSI is oversold strategy don't open new shorts
Volume - volume is the most important indicator for the strategy,
to avoid open trades on flat chart, new trades are open after a strong volume
wicks
RANGE FILTER- this indicator is for the better view of trends, define trends
MA 5-10-30 - like previous ones this is for better view of trends, and correctly define the trends
MACD by KivancOzbilgic - this indicator is based of MACD RELOADED by Kivanc Ozbilgic
Also like previous ones, indicator should help defined correct trends
Enjoy ;)
Fear Of Missing Out grid of forex tradingAbstract
This script finds potential safe grids placing limit orders without fear of missing out.
This script computes grids according to power of 1.0025 .
You can reference those price levels for your trading.
Introduction
Grid trading is a popular trading method.
Traders plan several price levels as grids and repeat buying at lower grids and selling at higher grids.
Grids can be round number like multiple of 100 pips.
Grids can also be support and resistance according to price history.
Some traders may think they need to adjust grids to trade.
However, there are several problems in choosing grids.
One problem is rate of change is related and therefore exponential. 20 to 30 is different from 30 to 40.
Another interesting point is there are some special impressing reversal price levels.
Several months ago, I had a question why usdjpy bounced near 108.3 .
After using a calculator, I found that 108.3 = 100 * 1.083 ≒ 100 * pow(1.0025,31) .
1.0025 , as known as 0.25% of change, is a potential stop out zone.
Therefore, we can compute grids and one grid is a little more than 1.0025 times than an another one.
After we finished computing grids, we can consider buy and sell near those grids.
Note that different traders may obtain different grid values.
For example, from 1.0 to 2.0 , it can be splited as 270 grids or 277 grids because pow(1.0025,277)<2 .
Those grids cannot always imply potential reversal points but they can be useful for traders looking for 0.25% profit targets with reducing fearing of buying or selling too early.
Computing grids
This script split from 1.0 to 10.0 into three segments.
One is 1.0 to 2.0 .
The second segment is from 2.0 to 5.0 .
The third segment is from 5.0 to 10.0 .
This script does the same thing for 0.1 to 1.0 , 10.0 to 100.0 , and so on.
For 1.0 to 2.0 and 5.0 to 10.0 , this script split a segment as 270 grids.
For 2.0 to 5.0 , this script split a segment as 360 grids.
The last step is display the next grids to the daily low and daily high.
Maybe also display the grids behind grids shown.
Parameters
x1,x2,x3,x4 : display the next x1,x2,x3,x4 grids to daily high and daily low. 1 means the next grid to daily high and daily low. 2 means the next grid to 1.
x_seg : default 2.0 . This script split from 1.0 to 10.0 into three segments. One is 1.0 to x_seg. The second segment is from x_seg to 10.0/x_seg . The third segment is from 10.0/x_seg to 10.0 .
x_grid1 : how many grids in the first segment
x_grid2 : how many grids in the second segment
x_lowprice : add this number for bigger grid distance. Generally, you don't need this number when trading forex but you may need it in stock trading. For stocks with price between 50 to 100, I recommend you use x_lowprice=100.
Conclusion and suggestions
This script can find potential grids for trading.
If price touches grids usually, we can consider buy and sell after price touches grids.
If price reverses before touching grids usually, we may consider buy and sell before price touches grids.
Those grids can remind us don't buy too much unless the price touches the next grid.
For instruments with less volatility, maybe we need more grids.
For traders with more money, they may also consider more grids for more dedicated range trading to collect more profit.
Reference
Sorry, I forgot them.
OBV MA StrategyThe On Balance Volume + Moving Average Strategy
Parameters: 1H candles, ETHUSDT on BINANCEUS, commission percent uses Binance's maker/taker fees of 0.075%
Strategy: I create a 30 day moving average of the On Balance Volume "obvSma = ta.sma(ta.obv, 30)." Then I use the following buy conditions:
OBV crosses above the OBV moving average
The obv drops x% below the OBV moving average (buy a dip)
The OBV moving average is rising, the OBV is greater than the OBV moving average and the OBV is rising
The first buy condition is attempting to buy into an uptrend. When the OBV rises above the OBV moving average, people are buying and it's a good time to enter the trade.
The idea behind the second buy condition is to buy a dip so make sure you are careful to not set it too shallow or you'll end up buying the dip before the dip before the dip. :) I recommend 10% or more.
The third buy condition is there in case our trailing stop takes us out of a trade but the trend is still rising, we don't want to miss out on that profit so if the OBV is above the OBV moving average, the average is rising and the OBV is rising, we are likely in the middle of an uptrend and we should buy in.
RSI StrategyThis RSI strategy is different than most in that it doesn't pick a buy signal based on the RSI rising above a specific number (usually 30). Instead, it creates a 14 day exponential moving average of the Relative Strength Index and uses the following two conditions together to trigger a buy:
Entry conditions:
Condition1: Rising of the RSI's moving average for (user defined) candles in a row
Condition 2: The RSI is < 70
The reasoning behind condition 1 is that we are trying to buy into a rising trend, the moving average helps to confirm the trend, whereas the RSI rising above a specific number (usually 30) gives us no real indication that the asset will increase and produces less wins overall. The reasoning behind condition 2 is to avoid buying at the top of a climb.
Exit conditions:
Condition 1: The RSI moving average is falling
Condition 2: Close < Trailing stop activation Level
Condition 3: We have at least (user defined) % profit
The reasoning behind sell condition 1 is a falling RSI moving average (down trend starting). The close has to be under the trailing stop activation level, if we've triggered the trailing stop, we want the trailing stop to do it's job and not exit the trade until the trailing stop takes us out. The reasoning behind condition 3 is to not exit without at least some profit (user defined).
MTF DPO-RSI IndicatorThis indicator uses the principle of taking the RSI of DPO readings across multiple time frames in order to provide trade signals and an overarching view of market conditions to the trader. My hope with creating this indicator was to present more divergence based signals than your typical indicator, while still keeping those signals at a high quality.
In the settings menu, you may specify:
Indicator Timeframe - the chart resolution that is used to calculate values.
Source DPO Length - the number of bars used to calculate the Detrended Price Oscillator value. The DPO value is the source for the RSI calculations.
DPO Hull Smoothing - how much smoothing is applied to the DPO . Smoothing is accomplished by taking a Hull Moving Average of the closing price, and using this to calculate the DPO value.
RSI Length - the number of bars used to calculate the RSI of the DPO value.
Time Multipliers 1 through 6 - use this to define what resolution each plot will represent. A value of 1 will represent the current Indicator Timeframe. A value of 3 will represent 3 times the current Indicator Timeframe, etc.
Show Plot 1 through 6 - toggles the display of plots.
How I trade with this indicator:
A value of under 30 represents an over sold state for that particular plot. A value of over 70 represents an overbought state for that plot.
Identify divergences on a lower timeframe plot which are apparent in overbought or oversold conditions, and confirm the signal with an overbought or oversold condition, or a divergence on a higher timeframe plot. Divergences which begin in oversold or overbought territory and end inside the 30-70 range tend to be more reliable signals, in my experience. Like all indicators, this is best when used in conjunction with other indicators. Trend indicators, such as double EMA's and Supertrend are my favorite pairing, and a stochastic RSI is a good tool to have as well.
This is my first published indicator! If you find unique ways to use it, drop me a message. I'd love to know what you find. :)
Implied minus Historical VolatilityJust a simple comparison of 30 day historical volatility versus 30 day implied volatility(VIX). In general, when VIX is way above realized or historical Vol, in general that is quite bullish. Backtest will be available soon.
[KBCUSTOM] Histogramified Stochastic RSI The public and regular stoch RSI does not come with a histogram which makes it hard to tell the magnitude of any cross. This version comes with one enabled by default and with includes buy and sell triggers on specified crosses.
Buy & Sell Options:
KB Cross Factor: this is the minimum stochastic change between candles that needs to be exceeded in order to trigger a buy or sell signal. For instance, if the previous candle has a value of -20, and the next one has 10, then the factor should be 30 in order for it to trigger a signal.
KB Cross Threshold: in order to minimize bad signals due to weak trend, you can set the minimum stochastic value any candle should have for an order signal to trigger. For instance, say the stochastic has a good cross factor (i.e. 30) and is met, and the stochastic has a value of 10 but your cross threshold is set at 20, then the signal will not trigger unless it is actually 20 or higher.
Let me know how it works.
Cheers.
trend_vol_stopThe description below is copied from the script's comments. Because TradingView does not allow me to edit this description, please refer to the script's comments section, as well as the release notes, for the most up-to-date information.
----------
Usage:
The inputs define the trend and the volatility stop.
Trend:
The trend is defined by a moving average crossover. When the short
(or fast) moving average is above the long (slow) moving average, the
trend is up. Otherwise, the trend is down. The inputs are:
long: the number of periods in the long/slow moving average.
short: the number of periods in the short/fast moving average.
The slow moving average is shown in various colors (see explanation
below. The fast moving average is a faint blue.
Volatility stop:
The volatility stop has two modes, percentage and rank. The percentage
stop is given in terms of annualized volatility. The rank stop is given
in terms of percentile.
stop_pct and stop_rank are initialized with "-1". You need to set one of
these to the values you want after adding the indicator to your chart.
This is the only setting that requires your input.
mode: choose "rank" for a rank stop, "percentage" for a percentage stop.
vol_window: the number of periods in the historical volatility
calculation. e.g. "30" means the volatility will be a weighted
average of the previous 30 periods. applies to both types of stop.
stop_pct: the volatility limit, annualized. for example, "50" means
that the trend will not be followed when historical volatility rises
above 50%.
stop_rank: the trend will not be followed when the volatility is in the
N-th percentile. for example, "75" means the trend will not be
followed when the current historical volatility is greater than 75%
of previous volatilities.
rank_window: the number of periods in the rank percentile calculation.
for example, if rank_window is "252" and "stop_rank" is "80", the
trend will not be followed when current historical volatility is
greater than 80% of the previous 252 historical volatilities.
Outputs:
The outputs include moving averages, to visually identify the trend,
a volatility table, and a performance table.
Moving averages:
The slow moving average is colored green in an uptrend, red in a
downtrend, and black when the volatility stop is in place.
Volatility table:
The volatility table gives the current historical volatility, annualized
and expressed as a whole number percentage. E.g. "65" means the
instrument's one standard deviation annual move is 65% of its price.
The current rank is expressed, also as a whole number percentage. E.g.
"15" means the current volatility is greater than 15% of previous
volatilities. For convenience, the volatilities corresponding to the
0, 25, 50, 75, and 100th percentiles are also shown.
Performance table:
The performance table shows the current strategy's performance versus
buy-and-hold. If the trend is up, the instrument's return for that
period is added to the strategy's return, because the strategy is long.
If the trend is down, the negative return is added, because the strategy
is short. If the volatility stop is in (the slow moving average is
black), that period's return is excluded from the strategy returns.
Every period's return is added to the buy-and-hold returns.
The table shows the average return, the standard deviation of returns,
and the sharpe ratio (average return / standard deviation of returns).
All figures are expressed as per-period, whole number percentages.
For exmaple, "0.1" in the mean column on a daily chart means a
0.1% daily return.
The number of periods (samples) for each strategy is also shown.
trend_vol_forecastNote: The following description is copied from the script's comments. Since TradingView does not allow me to edit this description, please refer to the comments and release notes for the most up-to-date information.
-----------
USAGE
This script compares trend trading with a volatility stop to "buy and hold".
Trades are taken with the trend, except when price exceeds a volatility
forecast. The trend is defined by a moving average crossover. The forecast
is based on projecting future volatility from historical volatility.
The trend is defined by two parameters:
- long: the length of a long ("slow") moving average.
- short: the length of a short ("fast") moving average.
The trend is up when the short moving average is above the long. Otherwise
it is down.
The volatility stop is defined by three parameters:
- volatility window: determines the number of periods in the historical
volatility calculation. More periods means a slower (smoother)
estimate of historical volatility.
- stop forecast periods: the number of periods in the volatility
forecast. For example, "7" on a daily chart means that the volatility
will be forecasted with a one week lag.
- stop forecast stdev: the number of standard deviations in the stop
forecast. For example, "2" means two standard deviations.
EXAMPLE
The default parameters are:
- long: 50
- short: 20
- volatility window: 30
- stop forecast periods: 7
- stop forecast standard deviations: 1
The trend will be up when the 20 period moving average is above the 50
period moving average. On each bar, the historical volatility will be
calculated from the previous 30 bars. If the historical volatility is 0.65
(65%), then a forecast will be drawn as a fuchsia line, subtracting
0.65 * sqrt(7 / 365) from the closing price. If price at any point falls
below the forecast, the volatility stop is in place, and the trend is
negated.
OUTPUTS
Plots:
- The trend is shown by painting the slow moving average green (up), red
(down), or black (none; volatility stop).
- The fast moving average is shown in faint blue
- The previous volatility forecasts are shown in faint fuchsia
- The current volatility forecast is shown as a fuchsia line, projecting
into the future as far as it is valid.
Tables:
- The current historical volatility is given in the top right corner, as a
whole number percentage.
- The performance table shows the mean, standard deviation, and sharpe
ratio of the volatility stop trend strategy, as well as buy and hold.
If the trend is up, each period's return is added to the sample (the
strategy is long). If the trend is down, the inverse of each period's
return is added to the sample (the strategy is short). If there is no
trend (the volatility stop is active), the period's return is excluded
from the sample. Every period is added to the buy-and-hold strategy's
sample. The total number of periods in each sample is also shown.
"DSS" Bessert Double Smooth Stochastic Alma Variant Hi colleagues I share this time DSS bressert.
As usual they have all the adjustable colors and signals. I hope you enjoy them and leave here below the length of signals that best suit your needs so that we can continue sharing content
Description
One after the other, William Blau and Walter Bressert each presented a version of the Double Smoothed Stochastics. Two exponentially smoothed MAs are used to even out the input values (H, L and C), in a similar way to the well-known stochastic formula.
Parameters
The adjustable period length can be chosen from 2 to 500. The most common settings will have a period length ranging from 5 to 30. In addition, the indicator can be smoothed in the interval from 1 to 50. Meaningful smoothing values lie in the short-term range.
Interpretation
The application of the DSS is comparable with that of the stochastic method. Accordingly, values above 70 or 80 must be regarded as overbought and values below 20 or 30 as oversold. A rise of the DSS above its center line should be viewed as bullish, and a fall of the DSS below its center line as bearish.
/// Quick Explained ALMA ///
//Window size: The window size is the look-back period and it is a basic setting of ALMA.
//Experienced traders can change this setting according to their preference.
//But if you are using this indicator for the first time, it is recommended to go with the default setting.
//Offset: The offset value is used to tweak the ALMA so that it will be more inclined
//towards responsiveness or smoothness. You can set the offset in decimals between the 0 to1.
//The value of 0.01 makes it smoother, while a setting of 0.99 makes the indicator more responsive.
//Sigma: The sigma is used for the filter. Any value less than 6 makes the indicator
//more focused, whereas the setting of 6 makes the filter large. According to Mr Arnaud,
//a sigma value of 6 is offer good performance.
/// Explain DSS ///
//Parameters
//The adjustable period length can be chosen from 2 to 500.
//The most common settings will have a period length ranging from 5 to 30.
//In addition, the indicator can be smoothed in the interval from 1 to 50.
//Meaningful smoothing values lie in the short-term range.
//Interpretation
//The application of the DSS is comparable with that of the stochastic method.
//Accordingly, values above 70 or 80 must be regarded as overbought and values below 20 or 30 as oversold.
//A rise of the DSS above its center line should be viewed as bullish,
//and a fall of the DSS below its center line as bearish
/// End Of The Code///