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.
Поиск скриптов по запросу "美元汇率30天走势"
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.
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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///
Time of Day and Day of Week Buying and Selling StrategyThis strategy allows you to back test longing or shorting or do nothing during time increments of 30 minutes for various days of the week. For example if you want to see if every Saturday if Bitcoin dropped in value from 1600-7000 UTC, this script will allow you to test that.
Make sure you are in the 30 minute time frame while viewing the performance and trade history.
Panel RSI MACD DMI//RSI
//--Default length : 14
//--RSI > 70 : Background is RED
//--RSI < 30 : Background is GREEN
//--RSI Between 30 and 70 : Background is BLUE
//MACD
//--Default: 12,26,9
//--MACD cross above Zero Line / Signal Line : Background is GREEN
//--MACD cross below Zero Line / Signal Line : Background is RED
//--Others condition : Background is BLUE
//DMI
//--Default: 14, 14
//--ADX > 20 : Text is GREEN
//--ADX < 20 : Text is RED
//--DI+ > DI- : Background is BLUE
//--DI- > DI+ : Background is YELLOW
Stochastic Weighted RSI w/ Divergence + Signals🐢 Tawtis' Stochastic Weighted Relative Strength Index , aka SWRSI
This indicator combines the Stochastic RSI and the classic RSI we all know and love to create a more effective indication of seller/buyer dominance, and in turn, trend. I have named it the "Stochastic Weighted RSI". The script also includes a standard RSI, so you can use both at the same time!
Loads of customisation, pretty much every input can be changed to fit your preferences, however, the default settings are what I would personally recommend for the best results. Either way, feel free to change them!
By looking at the indicator, you can also establish the trend that may follow in the candles to come.
Typically, an indicator reading of over 70 is considered overbought, and an indicator reading of under 30 is considered oversold.
The calculations for the SWRSI and its signals take into account a multitude of exponential moving averages, a Stochastic RSI and a classic RSI, among other things.
There are 2 types of signals provided by the indicator, being strong and weak. You do not have to follow these, and they aren't always accurate (it's impossible to be accurate 100% of the time), however, they can give a good idea of the trend that will ensue.
Strong buy signals are created when:
SWRSI is under 30
SWRSI is over the EMA (default 2) of the SWRSI
Short EMA (default 20) is under the long EMA (default 50)
Strong sell signals are created when:
SWRSI is over 70
SWRSI is under the EMA (default 2) of the SWRSI
Short EMA (default 20) is over the long EMA (default 50)
Weak buy and sell signals are printed as green and red background highlights, and operate the same as the strong buy and sells, without the short/long EMA criterion. Both of these signal types can be toggled off using the settings if you do not want to see them.
Enjoy!
Multi-Currency & Multi-Timeframe SMA Summary Table
This script displays a summary table of the direction of simple moving averages of all the currencies on all timeframes. The concept was that I wanted a summary page giving me a birds eye view of what is happening in the market. I plan to use it as a common sense check to confirm that I'm not trading against the flow. I'm not planning to use it to blindly enter (ah if only trading was that easy!!!).
The above example is showing the direction of the 100 SMA for 30S, 3min, 15min, 1h, 4h, D for all the currencies. The base currency is adjusted so that the colour coding is adjusted to express the strength of the specific currency. For example in the case of CAD it is showing the directions of SMAs for CADNZD, CADAUD, CADJPY, CADCHF, CADEUR, CADGBP, CADUSD - the base currency is flipped on some pairs so CAD is always the base currency.
An example of what it is showing - look at the 1h column on JPY. All rows are red except for the chf row. This means that the 100SMA is pointing down on all JPY crosses except for JPYCHF (remember, SMA is down assuming JPY is the base currency).
Unfortunately, I could not fit all the script into a single indicator so you have to load an instance of the indicator into the chart for each timeframe you want to see. So the above example has 6 instances of the indicator overlaid - 1 instance for: 30S, 3min, 15min, 1h, 4h and D. Just choose the timeframe and the script will automatically organise the table.
At the bottom (in blue) is a summary score: a score of 7 = the MA is up on that timeframe on all currency crosses; a score of -7 = the MA is down on that timeframe on all currency crosses. So if you look at the example above, the blue row is showing that USD is very strong against all other currencies and the AUD is generally weak against all other currencies (notice the light blue vs the dark blue).
-You can choose the length of the SMA.
-You can chose the 'lookback' period (the bars back the script looks to compare whether the MA is getting higher or lower)
-You can change the colours
-You can adjust the table size to fit your monitor size
I hope its useful - I tried it yesterday and it kept me focused on USD strength (and not get seduced by temporary USD weakness). So it is doing what I designed it to.
Hope its useful. Good luck!
John
Strat Assistant Alerts and Highs/LowsStrat Assistant FTC Only
----------------------------
█ OVERVIEW
This script is intended to highlight/draw lines for the prior high/low of 30, 60, day, week, month, quarter, as well as create the alerts for when these thresholds get crossed
Input
----------
The script has inputs for every time frame plotted - 30, 60, day, week, month, quarter. All of the following items below can be "modified"
is the high line active? (for the corresponding time frame, will plot the line yes or no - by default only the DAY is displayed)
is the low line active? (for the corresponding time frame, will plot the line yes or no - by default only the DAY is displayed))
The high line color - modify the color of the corresponding time frame high line to your liking
The low line color - modify the color of the corresponding time frame low line to your liking
The time frame line width - make some lines wider than others for easier distinction
Output
----------
Lines for each corresponding time frame activated in the selected color and width.
Custom alerts - open a stock, select the Alerts button at the top, click the condition as the name of this script. The next drop down will show you all the corresponding alerts you can set for the current price crossing above the prior timelines high or below the prior timelines low (the bracket number is just for sorting purposes).
Best Practices
----------
What's not mapped? - Style (you can't drive this by an input, by default day is dashed, the rest are a solid line)
What's not mapped? - Price on the Y axis. I'm still trying to figure this out, not sure you can do it. I can add a label, just gets cluttered fast
Played with this a little bit using crypto, but obviously I can't test out all these alerts without a lot of things moving. Please do your due diligence.
I know a million people are going to want a million things. I can create more alerts coming soon, for now I wanted to start with this. Please and comments or suggestions or feedback and I'll see what I can do. I can create labels (for price) randomly, but it will clutter the screen. Or I can create one big box or table with prices shown.
strangle_pricerUsage:
1. Set the put and call strike inputs to values of your choosing.
2. Select "days to expiration".
3. Set the put and call standard deviations using the output table.
The indicator is meant help price a strangle using historical data and a volatility model. By default, the model is an ewma-method historical volatility. After selecting strikes and standard their corresponding standard deviation, theoretical values and probabilities will be shown in the table. The script is initialized with -1 for several inputs, and won't show any data until these are adjusted.
The theoretical values shown assume a strangle was bought or sold on every historical bar, and averaging their value at expiration.
For example, if you choose the $50 call and $40 put when the underlying is at $45 and there are 30 days until expiration, suppose the volatility is N and
these strikes correspond to M standard deviations. Input those and the resulting theoretial values shown will be based on opening a 30 dte call and put at M standard deviations with respect to the volatility at each bar.
- Past volatility forecasts are plotted in blue, and hidden by default.
- The current volatility forecast is drawn as a blue line.
- The put and call strikes are drawn as red lines.
This indicator is only meant for the daily chart!
Since I won't be able to edit this description later, also check the release notes and script comments for important changes.
HYE Combo Market [Strategy] (Vwap Mean Reversion + Trend Hunter)In this strategy, I used a combination of trend hunter and vwap mean reversion strategies that I published before.
Trend Hunter Strategy:
Mean Reversion Vwap Strategy:
The results are quite impressive, especially for bitcoin.
While the hodl return for bitcoin was 13419%, the strategy's return in the same period was about 5 times (65000%) of this.
s3.tradingview.com
In this combo strategy, I made some changes to the original settings of the strategies used together and added some more new features.
Trend Hunter Strategy Settings: (Original / Combo)
- Slow Tenkansen Period : 9 / 9
- Slow Kijunsen Period : 26 / 13
- Fast Tenkansen Period : 5 / 3
- Fast Kijunsen Period : 13 / 7
- BB Length : 20 / 20
- BB Stdev : 2 / 2
- TSV Length : 13 / 20
- TSV Ema Length : 7 / 7
* I also added a "vidya moving average" to be used as a confirmation tool to open a long position. (Candle close must be above the vidya line.)
Vwap Mean Reversion Strategy Settings: (Original / Combo)
- Small Vwap : 2 / 8
- Big Vwap : 5 / 10
- Percent Below to Buy : 3 / 2
- RSI Period : 2 / 2
- RSI Ema Period : 5 / 5
- Maximum RSI Level for Buy : 30
* I also added a "mean vwap line" to be used for exits in this part of the strategy. In the original version, when small vwap crossovers big vwap, we close the position, but in this strategy we will wait for the close above the mean vwap.
TIPS AND WARNINGS
1-) The standard settings of this combo strategy is designed and tested with daily timeframe. For lower timeframes, you should change the strategy settings and find the best value for yourself.
2-) Only the mean vwap line is displayed on the graph. For a detailed view, you can delete the "//" marks from the plot codes in the strategy code.
3-) This is a strategy for educational and experimental purposes. It cannot be considered as investment advice. You should be careful and make your own risk assessment when opening real market trades using this strategy.
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Bu stratejide, daha önce yayınladığım trend avcısı ve vwap ortalamaya geri dönüş stratejilerinin bir kombinasyonunu kullandım.
Sonuçlar özellikle bitcoin için oldukça etkileyici.
Bitcoin için hodl getirisi %13419 iken, stratejinin aynı dönemdeki getirisi bunun yaklaşık 5 katı (%65000) idi.
Bu kombo stratejide, birlikte kullanılan stratejilerin orijinal ayarlarında bazı değişiklikler yaptım ve bazı yeni özellikler ekledim.
Trend Avcısı Strateji Ayarları: (Orijinal / Combo)
- Yavaş Tenkansen Periyodu : 9 / 9
- Yavaş Kijunsen Periyodu : 26 / 13
- Hızlı Tenkansen Periyodu : 5 / 3
- Hızlı Kijunsen Periyodu : 13 / 7
- BB Uzunluğu : 20 / 20
- BB Standart Sapması : 2 / 2
- TSV Uzunluğu : 13 / 20
- TSV Ema Uzunluğu : 7 / 7
* Ayrıca long pozisyon açmak için onay aracı olarak kullanılmak üzere "vidya hareketli ortalama" ekledim. (Mum kapanışı vidya çizgisinin üzerinde olmalıdır.)
Vwap Ortalamaya Dönüş Stratejisi Ayarları: (Orijinal / Combo)
- Küçük Vwap : 2 / 8
- Büyük Vwap : 5 / 10
- Alış İçin Gerekli Fark Oranı : 3 / 2
- RSI Periyodu : 2 / 2
- RSI Ema Periyodu: 5 / 5
- Alış için gerekli maksimum RSI seviyesi : 30
* Stratejinin bu bölümünde pozisyondan çıkışlar için kullanılacak bir "ortalama vwap çizgisi" de ekledim. Orijinal versiyonda, küçük vwap, büyük vwap'ı yukarı kestiğinde pozisyonu kapatıyoruz, ancak bu stratejide, ortalama vwap'ın üzerindeki kapanışı bekleyeceğiz.
İPUÇLARI VE UYARILAR
1-) Bu birleşik stratejinin standart ayarları, günlük zaman dilimi ile tasarlanmış ve test edilmiştir. Daha düşük zaman dilimleri için strateji ayarlarını değiştirmeli ve kendiniz için en iyi değeri bulmalısınız.
2-) Grafikte sadece ortalama vwap çizgisi görüntülenir. Ayrıntılı bir görünüm için strateji kodundaki "plot" ile başlayan satırlarda grafikte görünmesini istediğiniz özelliğin önündeki "//" işaretlerini silebilirsiniz.
3-) Eğitim ve deneysel amaçlı bir stratejidir. Yatırım tavsiyesi olarak değerlendirilemez. Bu stratejiyi kullanarak gerçek piyasa işlem açarken dikkatli olmalı ve kendi risk değerlendirmenizi yapmalısınız.
Strat Assistant FTC 2.0Strat Assistant FTC Only
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█ OVERVIEW
This script is intended to provide full time frame continuity information for almost all time frames (3, 5, 15, 30, 60, 4H, Day, Week, Month, Quarter, Year)
When added, the script provides a visual indicator/table to the bottom right of the screen to view the different performance at each time frame.
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Output
Time Frames: 3min, 5min, 15min, 30min, 60min, 4 Hour, Day, Week, Month Quarter, Year
Time Frame Labels: 3, 5, 15, 30, H, 4H, D, W, M, Q, Y
Colors: Will display the colors in RED if it's a down time frame (close/current < prior close) or a GREEN if it's a up time frame (close/current > prior close), the color will be more opaque/the opacity will increase the stronger it's levels are for the time frame.
Percentage: The percentages will also display, to give you a quick visual indicator or how strong a time frame is one way or the other.
Best Practices
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Had to decouple this from the other scripts because TV limits how much you can plot/show
May be a little slow at times, analyzing a lot of time periods/data be patient.
Used to indicate who is in control, buyers or sellers.
RedK Volume-Weighted Directional Efficiency Index (DXF)RedK Volume-Weighted Directional Efficiency Index (DXF) is a momentum indicator - that builds on Kaufman's Efficiency Ratio (ER) concept.
DXF utilizes a restricted +100/-100 oscillator to represent the "quality" of a trend, and does a good job in detecting the possibility of an upcoming trend change (in both direction and quality), improving our ability to make decisions on trade entries and exits.
Here's a quick background on Kaufman's Efficiency Ratio (ER)
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Developed by Perry Kaufman and introduced in his book “New Trading Systems and Methods”, the Efficiency Ratio reflects relative market speed to volatility. There are cases, when it is used as a filter, which helps a trader to avoid ”choppy” markets or trading ranges and to identify smoother trends.
ER is the result of dividing the net change in price movement during n-periods by the sum of all bar-to-bar price changes during the same n-periods. In case the market is trending smoother, then the ratio will be higher. In case the ratio shows readings in proximity to zero, this implies that market movement is inefficient and ”choppy”.
If the Efficiency Ratio shows a reading of +100, this means that the trading instrument is in a bull trend and trending with perfect efficiency.
If the Efficiency Ratio shows a reading of -100, this means that the trading instrument is in a bear trend and trending with perfect efficiency.
It is impossible for any instrument to have a perfect Efficiency ratio, because any movement against the major trend during the examined period of time would cause the ratio to drop.
If the Efficiency Ratio shows a reading above +30 (common setting for the "Significant Level"), this is indicative of a quality bull trend. If the ratio shows a reading below -30, this is indicative of a quality bear trend.
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Kaufman also used the ER as basis for his famous Kaufman Adaptive Moving Average (KAMA).
Read more on ER & Kama here
How is DXF different from other ER-based indicators?
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- Let's get the easy part out of the way: DXF has a "volume-weighting" option ✔
This option is OFF by default (to avoid errors with instruments with no volume data)
- once this option is applied, it provides the benefit of combining the volume effect into the calculation - those who appreciate the effect of volume on price action will hopefully find this option valuable
- The calculation of ER and how it can be "best utilized":
Let's examine the ER concept a bit closer: as a (math) concept, the (original) Efficiency Ratio (ER) takes the positive change of the price of an instrument during a certain period, and divide it by the sum of (absolute) price moves that were observed during that same period.
So, in the trader's language, we will be saying "out of a total of $20 moves (up and down) that MSFT did in the past 10 days, MSFT only made a net change of $5 up during that period" - so the "10-day ER" for MSFT in that case is 5/20 = 25% -- then we continue to observe that ongoing "10-day ER" and if it increases, we can expect that MSFT is going to establish a strong move (trend) up --- right?
the magic word here is to "observe the ongoing ER" - many of the ER based indicators just use the ER as calculated by Kaufman's original method. IMHO, these are just "point-in-time readings" - if we hope to get real insights from the ER, we need to take an average of that reading - for our "time window" we're interested in - and only then we can identify trends and patterns in the ER value as it changes during that windowss- DXF does that - and that allows a trader to say "the (weighted) 5-day average of the 10-day ER for MSFT is increasing, and that why i expect an up-trend" -- makes sense ? both the "Lookback" used to calculate the ER, and the Length of observed "window" for the Average ER are adjustable in DXF settings
Other Uses and Settings :
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- As a momentum indicator, DXF can predict an upcoming change of trend - cause that will reflect on the average ER value. There are few examples in the chart where the price move and ER trend *do not agree* - The trader can see these signs and take decisions accordingly
- DXF can help reveal best entries and exits: assume we are long-term bullish on MSFT, and we want to "buy the dip" - DXF can help reveal the time where price is recovering from extreme weakness - and that would be the ideal buy opportunities for us - exampled marked on the chart
- the Stepping & Smoothing options enable better visualization of the DXF plot. the "raw" DXF is still shown as a silver line.
- The "Significant Levels" option is available and is set to -20/+20 by default .. also adjustable in indicator settings.
- Please use DXF in combination with other trend and volume indicators, and with thorough chart / price action analysis and not in isolation to ensure you get proper signal confirmation for trades. In the chart above, you can see DXF combined with a moving average that can act as a filter and to confirm the price moves.
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As usual, feedback & comments are welcome - if you find this work useful in your trading arsenal, please share a comment - i would be more than happy to learn about that. Good luck!
