VCC Impulse 101Title = VCC Impulse 101
Version = v1.2.0
Author = Vic Cebedo
A cryptocurrency Buy and Sell signal indicator.
BUY SIGNAL (green background) is triggered if Buy Score (black line) reaches (4) Points.
1 Point is added to Buy Score if:
- The Closing Price is above all Moving Averages (7, 21, 50, 100, and 200), and
- If the 200MA is above the other Moving Averages (7, 21, 50, 100).
1 Point is added to Buy Score if:
- MACD is greater than MACD Signal, and
- MACD is greater than zero, and
- MACD Signal is greater than zero, and
- MACD is greater than previous value.
1 Point is added to Buy Score if:
- SMI is greater than zero, and
- SMI is greater than previous value.
1 Point is added to Buy Score if:
- RSI is greater than 50.
The SELL SIGNAL (red background) is triggered if EITHER Ethereum Sell Score (purple line) OR Bitcoin Sell Score (red line), reaches (-3) Points.
2 Points is deducted from the Ethereum Sell Score if:
- The number of Ethereum Short positions is greater than the Longs.
1 Point is deducted from the Ethereum Sell Score if:
- The Ethereum RSI is greater than 75.
2 Points is deducted from the Bitcoin Sell Score if:
- The number of Bitcoin Short positions is greater than the Longs.
1 Point is deducted from the Bitcoin Sell Score if:
- The Bitcoin RSI is greater than 75.
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IIPThis indicator includes followings functions,
1. Close and SMA
Show 8 SMA (default: 3, 5, 7, 9, 20, 100, 300: each can be adjustable.)
2. Background color in Perfect Order (5, 20 ,60)
Perfect Order: Red
Reverse Perfect Order: Blue
3. Golden Cross and Dead Cross between SMA 5 and SMA 20
Golden Cross(GC):▲ with Green
Dead Cross(DC):▼ with Red
4. Show labels on 5 days, 20 days, 60 days and 100 days before today
5. Put dotted vertical line on first day in every month.
BBC M2 Pi Ratio IndicatorPi Cycle moving averages expressed as a ratio to visually show the distance and timing of next all time high. Ratio is multiplied by 100,000 to move it into visual range. I recommend drawing a horizontal line at 100,000 for reference too.
Tendency EMA + RSI [Alorse]A very simple and highly effective strategy LONG & SHORT that combines only 2 indicators:
RSI
3 Moving Average Exponential (EMA)
LONG Entry conditions are:
EMA 20 cross over EMA 10
EMA 10 is above EMA 100
LONG Exit conditions are:
RSI greater than 70
Or when X number of candles have passed and the trade is in profit. (Check Settings)
SHORT Entry conditions are:
EMA 20 cross under EMA 10
EMA 10 is below EMA 100
SHORT Exit conditions are:
RSI is less than 30
Or when X number of candles have passed and the trade is in profit. (Check Settings)
MTF Bullish/Bearish IndicatorThe script plots a bullish/bearish indicator by evaluating a variety of moving averages for a security across multiple timeframes. It's derived from built in Technical Analysis indicator published by TradingView. The result of evaluation is plotted on the chart in green light/red light format in a configurable location.
evaluated moving averages include
- SMA 10, 20, 30, 50, 100, 200
- EMA 10, 20, 30, 50, 100, 200
- Hull MA 9
- VWMA 20
- Ichimoku Cloud
moving averages are evaluated at chart timeframes and 5 min, 15 min, 30 min, 120 min, 240 min, and daily by default but can be customized.
Percentile Rank [racer8]The Percentile is a mathematical tool developed in the field of statistics. It determines how a value compares to a set of values.
There are many applications for this like ...
... determining your rank in your college math class
... your rank in terms of height, weight, economic status, etc.
... determining the 3-month percentile of the current stock price (which is what this indicator performs)
This indicator calculates the percentile rank for the current stock price for n periods.
For example, if the stock's current price is above 80% of the previous stock's prices over a 100-period span, then it has a percentile rank of 80.
For traders, this is extremely valuable information because it tells you if the current stock price is overbought or oversold.
If the stock's price is in the 95th percentile, then it is highly likely that it is OVERBOUGHT, and that it will revert back to the mean price.
Helplful TIP: I recommend that you set the indicator to look back over at LEAST 100 periods for accuracy!
Thanks for reading! 👍
LinearRegressionLibraryLibrary "LinearRegressionLibrary" contains functions for fitting a regression line to the time series by means of different models, as well as functions for estimating the accuracy of the fit.
Linear regression algorithms:
RepeatedMedian(y, n, lastBar) applies repeated median regression (robust linear regression algorithm) to the input time series within the selected interval.
Parameters:
y :: float series, source time series (e.g. close)
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
Output:
mSlope :: float, slope of the regression line
mInter :: float, intercept of the regression line
TheilSen(y, n, lastBar) applies the Theil-Sen estimator (robust linear regression algorithm) to the input time series within the selected interval.
Parameters:
y :: float series, source time series
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
Output:
tsSlope :: float, slope of the regression line
tsInter :: float, intercept of the regression line
OrdinaryLeastSquares(y, n, lastBar) applies the ordinary least squares regression (non-robust) to the input time series within the selected interval.
Parameters:
y :: float series, source time series
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
Output:
olsSlope :: float, slope of the regression line
olsInter :: float, intercept of the regression line
Model performance metrics:
metricRMSE(y, n, lastBar, slope, intercept) returns the Root-Mean-Square Error (RMSE) of the regression. The better the model, the lower the RMSE.
Parameters:
y :: float series, source time series (e.g. close)
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
slope :: float, slope of the evaluated linear regression line
intercept :: float, intercept of the evaluated linear regression line
Output:
rmse :: float, RMSE value
metricMAE(y, n, lastBar, slope, intercept) returns the Mean Absolute Error (MAE) of the regression. MAE is is similar to RMSE but is less sensitive to outliers. The better the model, the lower the MAE.
Parameters:
y :: float series, source time series
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
slope :: float, slope of the evaluated linear regression line
intercept :: float, intercept of the evaluated linear regression line
Output:
mae :: float, MAE value
metricR2(y, n, lastBar, slope, intercept) returns the coefficient of determination (R squared) of the regression. The better the linear regression fits the data (compared to the sample mean), the closer the value of the R squared is to 1.
Parameters:
y :: float series, source time series
n :: integer, the length of the selected time interval
lastBar :: integer, index of the last bar of the selected time interval (defines the position of the interval)
slope :: float, slope of the evaluated linear regression line
intercept :: float, intercept of the evaluated linear regression line
Output:
Rsq :: float, R-sqared score
Usage example:
//@version=5
indicator('ExampleLinReg', overlay=true)
// import the library
import tbiktag/LinearRegressionLibrary/1 as linreg
// define the studied interval: last 100 bars
int Npoints = 100
int lastBar = bar_index
int firstBar = bar_index - Npoints
// apply repeated median regression to the closing price time series within the specified interval
{square bracket}slope, intercept{square bracket} = linreg.RepeatedMedian(close, Npoints, lastBar)
// calculate the root-mean-square error of the obtained linear fit
rmse = linreg.metricRMSE(close, Npoints, lastBar, slope, intercept)
// plot the line and print the RMSE value
float y1 = intercept
float y2 = intercept + slope * (Npoints - 1)
if barstate.islast
{indent} line.new(firstBar,y1, lastBar,y2)
{indent} label.new(lastBar,y2,text='RMSE = '+str.format("{0,number,#.#}", rmse))
Quick-Glance RSIThis script will draw a live, updating-RSI on the main chart. As the price updates, the RSI line will self-adjust between the highest high an the lowest low for the RSI period.
Settings/Customizations:
RSI Length : Calculate RSI and draw RSI Line for specified period
Overbought Level : Draw maroon box from OB level to highest high.
Oversold Level : Draw green box from lowest low to OS level.
Scale Offset : Fine-tune location of 0-100 scale.
Show Scale : Draw 0-100 levels to the right of the RSI line.
Show RSI Line : Draw a line from the start of the RSI period to the current price.
Show OB/OS Boxes : Enable or disable background for overbought and oversold areas.
Realtime : Draw all data in real time.
RSI on overlay chart is same as current RSI on bottom chart
RSI without scale, boxes, or RSI Line
“Repainting” Note : The current RSI level is calculated in real time as each price changes, so yes this does “repaint” on the current bar. This is by design and will not change the effectiveness of the script. However, if you are using this script to generate signals, uncheck “Realtime” and/or use “once per bar close” for alerts.
SMADIF4 IndicatorIt shows a percentage difference between close and 4-SMA, 20, 50, 100 and 200. As it turns greener, the stock is more expensive, and vice versa, it turns redder when it becomes cheaper relative to the SMA. It will print the green backgraound as long as the bar closes above the 200 SMA and red as long as the bar closes below the 200 SMA. It uses by default 1.3 sigma to discriminate non-representative values and 100 bars in the past.
DCA Bot Long/Short Thanks to @TheTradingParrot for the inspiration and knowledge shared.
Thanks to @ericlin0122 for the original DCA Bot Emulator which is the backbone of this strategy.
The script simulates DCA strategy with parameters used in 3commas DCA bots for futures trading. Experiment with parameters
to find your trading setup.
Beware how large your total leveraged position is and how far can market go before you get liquidated!
Do that with the help of futures liquidation calculators you can find online!
I`ve added:
1) an internal average price and profit calculating, instead of TV`s native one, which is subject to severe slippage.
2) I`ve built a graphic interface, so levels are clearly visible and back-test analyzing made easier.
3) now both Long & Short direction of the strategy exist.
4) trailing TP which was featured in the initial script has been removed because TV`s execution model makes
it impossible to know how the real world trailing would have unfolded.
5) the table is self explanatory, and it is there to help you discover what happened and where.
6) vertical colored lines appear when the new maximum deviation from the original price has
been reached
All the trading happens with total account capital, and all order sizes inputs are expressed in percent.
Known issues:
When deviation is small, and the same candle triggers safety AND the close order, the initial orders are closed, but a
new one opens on the next candle. This is "resolved" by closing the unwanted trade forcefully on the next candle, affecting
profit calculating minimally and guaranteeing that what should be closed has been closed.
The code could be improved through use of arrays, making the table flexible so the number of rows should be dynamic depending
on the number of SOs.
!!!!! IMPORTANT!!!!!
This strategy script is made to receive a signal from an exterior study script, which should plot +100 for long or -100 for short
entry (that is by default - values can be changed in the strategy settings menu). That plot should be found in "Enter Trigger" input
dropdown menu at the bottom of strategy settings menu. Removing the "and trigger == long/short_trigger" condition from strategy entry
conditions makes the strategy open trades ASAP.
Cheers!
Trend System Oscillator Averages RatingThis is a trend system made with multiple oscillator averages designed especially for trending markets such as stocks or crypto.
It can be used with any timeframe.
Its made of multiple moving oscillators such as
RSI
Stochastic
ADX
CCI
AO
MACD
MOM
STOCH RSI
WPR
BP
UO
Avg of all oscillators
It has also a rating, making an avg from all of the oscillators , going from -100 (all ma's are telling to go short ) to 100 ( all ma are telling to go long).
If you have any questions let me know !
Trend System Multiple Moving Averages RatingThis is a trend system made with multiple moving averages designed especially for trending markets such as stocks or crypto.
It can be used with any timeframe.
Its made of multiple moving averages such as
Simple
Weighted
Volume Weighted
Exponential
Double EMA
Arnaud Legoux
Hull MA
Smoothed
Least Squares
Kaufman Adaptive
Triple EMA
Zero Lag
Fractal Adaptive
Variable Index Dynamic Average
Jurik Moving Average
Tillson
Triangular
Avg of all moving averages
It has also a rating, making an avg from all of the moving averages , going from -100 (all ma's are telling to go short ) to 100 ( all ma are telling to go long).
If you have any questions let me know !
Cross Average PriceSimple script that allows you to view crossings and averages 14/50/100/200 in a simple and intuitive way.
With this script you can keep an eye on trends visually.
Green Point = 14 crosses 50
Yellow Point = 14 crosses 100
Red Point = 14 crosses 200
[VJ] Viper VWAP IntradayHello Traders, this is a simple intraday strategy involving the ever reliable VWAP and a chop index to add twist to the traditional style . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy: VWAP based strategy but uses an additional powerful indicator Chop index to help us stay out of false trades.
Indicators used :
VWAP identifies the true average price of a stock by factoring the volume of transactions at a specific price point and not based on the closing price. VWAP can add more value than your standard 10, 50, or 200 moving average indicators because VWAP reacts to price movements based on the volume during a given period.
The Choppiness Index is designed to determine whether the market is choppy or trading sideways, or not choppy and trading within a trend in either direction. Using a scale from 1 - 100, the market is considered to be choppy as values near 100 (over 61.80) and trending when values are lower than 38.20)
Buying/Selling typically happens at VWAP Breakouts which is then validated with extreme CI to ascertain the entries
Aggressive trade stop can be employed by using the % for long and shorts in the strategy.
Usage & Best setting :
Choose a good volatile stock and a time frame - 10m.
CI Index : 14
Trend Factor - anything below 38.2 is considered in trend, you can experiment from 50
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
Multiband Oscillator - Zigzag versionJust variation of Multi Band oscillator present here: Multi-Band-Channel-Oversold-Overbought-Oscillator
Changes are:
Instead of regular moving average, here I am using Zigzag Moving average. This is calculated in similar to as explained in: Zigzag-Cloud
Instead of ATR, using AZR (Average Zigzag Range) - Average-Zigzag-Range-AZR
Rest of the logic remains same.
Number of bands used 100 - which means, calculate 100 Bollinger bands with Std Dev Multiplier starting from 0.1 and with step 0.1 for the next one.
Which divides price ranges into 200 equal parts. Calculate what is the current range and plot them.
Overbought - Oversold levels are dynamics. They are dependent on the max and min state price has reached in last 80 days. Offset and factor can be used to adjust overbought oversold levels.
[VJ]War Machine PAT IntraThis is a simple intraday strategy for working on Stocks . You can modify the values on the stock and see what are your best picks. Comment below if you found something with good returns
Strategy:
Indicators used :
The Choppiness Index is designed to determine whether the market is choppy or trading sideways, or not choppy and trading within a trend in either direction. Using a scale from 1 - 100, the market is considered to be choppy as values near 100 (over 61.80) and trending when values are lower than 38.20)
The Money Flow Index (MFI) is a momentum indicator that measures the flow of money into and out of a security over a specified period of time. It is related to the Relative Strength Index (RSI) but incorporates volume, whereas the RSI only considers price. The MFI is calculated by accumulating positive and negative Money Flow values (see Money Flow), then creating a Money Ratio. The Money Ratio is then normalized into the MFI oscillator form.
Using the combination of CI (trend factor as constant) and varying MFI, we can buy/sell when conditions are met
Buying with MFI
1. MFI drops below 20 and enters inside oversold zone.
2. MFI bounces back above 20.
3. MFI pulls back but remains above 20.
4. A MFI break out above its previous high is a good buy signal.
Selling with MFI
1. MFI rises above 80 and enters inside overbought zone.
2. MFI drops back below 80.
3. MFI rises slightly but remains below 80.
4. MFI drops lower than its previous low is a signal to short sell or profit booking
Usage & Best setting :
Choose a good volatile stock and a time frame - 5m.
Trending factor : 50
Overbought & Oversold - can be varied as per user
There is stop loss and take profit that can be used to optimise your trade
The template also includes daily square off based on your time.
BUFFET INDICATORDISCRIPTION
The stock market cap to GDP ratio has become known as the Buffett Indicator in recent years, as Warren Buffett commented that he believes it is “probably the best single measure of where valuations stand at any given moment.”
CALCULATION
100*VALUE OF ALL STOCKS IN COUNTRY/GDP OF COUNTRY
100*wilshire5000/gdp
Multi-Indicator by johntradingwickThe Multi-Indicator includes the functionality of the following indicators:
1. Market Structure
2. Support and Resistance
3. VWAP
4. Simple Moving Average
5. Exponential Moving Average
Functionality of the Multi-Indicator:
Market Structure
As we already know, the market structure is one of the most important things in trading. If we are able to identify the trend correctly, it takes away a huge burden. For this, I have used the Zig Zag indicator to identify price trends. It plots points on the chart whenever the prices reverse by a larger percentage than a predetermined variable. The points are then connected by straight lines that will help you to identify the swing high and low.
This will help you to filter out any small price movements, making it easier to identify the trend, its direction, and its strength levels. You can change the period in consideration and the deviation by changing the deviation % and the depth.
Support and Resistance
The indicator provides the functionality to add support and resistance levels. If you want more levels just change the timeframe it looks at in the settings. It will pull the SR levels off the timeframe specified in the settings.
You can select the timeframe for support and resistance levels. The default time frame is “same as the chart”.
You can also extend lines to the right and change the width and colour of the lines. There is also an option to change the criteria to select the lines as valid support or resistance. You can extend the S/R level or use the horizontal lines to mark the level when there is a change in polarity.
VWAP
Volume Weighted Average Price (VWAP) is used to measure the average price weighted by volume. VWAP is typically used with intraday charts as a way to determine the general direction of intraday prices. It's similar to a moving average in that when the price is above VWAP, prices are rising and when the price is below VWAP, prices are falling. VWAP is primarily used by technical analysts to identify market trend.
Simple Moving Average
A simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
The multi-indicator has the ability to provide 5 moving averages. This is particularly helpful if you want to use various time periods such as 20, 50, 100, and 200. Although this is just basic functionality, it comes in handy if you are using a free account.
Exponential Moving Average
An exponential moving average (EMA) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average. The multi-indicator provides 5 exponential moving averages. This is particularly helpful if you want to use various time periods such as 20, 50, 100, and 200.
Money Flow Index 5 min Strategy1 - Apply the 3 period Money Flow Index indicator to the 5 minute chart, using 0 and 100 as our oversold and overbought boundaries
2 - Wait for the MFI to reach overbought levels, that indicates the presence of "big sharks" in the market. Price needs to hold up
the first two MFI overbought occurrences of the day to be considered as a bullish entry signal.*
3 - We buy when the MFI = 100 and the next candle is a bullish candle with short wicks.
4 - We place our Stop Loss below the low of the trading day and we Take Profit during the first 60 minutes after taking the trade.
The logic above can be used in a mirrored fashion to take short entries, this is a custom parameter that can be modified from
the strategy Inputs panel.
* I'm using a SMA filter to avoid buying when the price is declining. Time frame was better at 15 min according to my test.
Six Moving Averages Study (use as a manual strategy indicator)I made this based on a really interesting conversation I had with a good friend of mine who ran a long/short hedge fund for seven years and worked at a major hedge fund as a manager for 20 years before that. This is an unconventional approach and I would not recommend it for bots, but it has worked unbelievably well for me over the last few weeks in a mixed market.
The first thing to know is that this indicator is supposed to work on a one minute chart and not a one hour, but TradingView will not allow 1m indicators to be published so we have to work around that a little bit. This is an ultra fast day trading strategy so be prepared for a wild ride if you use it on crypto like I do! Make sure you use it on a one minute chart.
The idea here is that you get six SMA curves which are:
1m 50 period
1m 100 period
1m 200 period
5m 50 period
5m 100 period
5m 200 period
The 1m 50 period is a little thicker because it's the most important MA in this algo. As price golden crosses each line it becomes a stronger buy signal, with added weight on the 1m 50 period MA. If price crosses all six I consider it a strong buy signal though your mileage may vary.
*** NOTE *** The screenshot is from a 1h chart which again, is not the correct way to use this. PLEASE don't use it on a one hour chart.
Multi ZigZagI created this as basis for my next scripts. We are just trying to plot multiple zigzags with different length basis here. Input allows you to select different Length , Width , Color and Line Style for each Zigzags.
Max_pivot_size says how many pivots each Zigzag can have. Value 100 means, each zigzag will show 99 lines joining 100 points.
Additional option ShowStatsTable allows you to print pivots in a table. Table only shows selected zigzags.
ADX + BB %B + AO + EMA [Luca Massuda]This trading strategy combines different indicators:
1) ADX, Average Directional Movement: to spot the trend
2) BB %B Bollinger Band %B: to spost relative price position to Bollinger Bands
3) AO Awesome Oscillator: to spot momentum
4) ema 5,ema21, ema50, ema200: to decide long or short position
You can configure:
Take profit % : at which % gains to take profit from the entry price
Stop loss % : at which % stop loss from the entry price
BB %B Overbought: At which level you consider Overbought respect to Bollinger Bands (values 0 to 100)
BB %B Oversold: At which level you consider Oversold respect to Bollinger Bands (values 0 to 100)
Awesome Oscillator: AO level to consider a long or short position +/- 2
ADX: ADX value to consider a long or short position
Start Date, Month, Year: Starting point for a backtesting strategy
Lenght , Source , Standard Deviation: Bollinger Bands values
ADX smoothing, DI Lenght: ADX values
Green and purple zones indicate when the strategy can go long or short.
Default Long conditions:
ema5>ema21 and ema50>ema200 and bb>75% and ao>2 and adx>15
Default Short conditions:
ema515
MCDX PlusMCDX Plus is an indicator to show the relative level of Profitable Chips, Floating Chips and Locked Chips for Stocks market.
Red Bars being Profitable Chips, Yellow Bars being Floating Chips and Green Bars being Locked Chips.
Profitable Chips represents investments, typically by bankers, accumulating shares when stock price is relatively low over a period of time, either during down trend or ranging. When price is moving up, the shares accumulated will start to make profit.
Locked chips being those bought at at a higher price, failed or unwillingly to cut loss and still holding them.
Floating chips being free flow tradable shares in the market, typically hold by intraday or short term traders.
The relative profitable level is calculated based on current market price versus the highest and lowest price over a look back period.
Typically, 100 days look back, which is sufficient to cover uptrend or downtrend.
In this indicator, I added in options for 34 days (Fibo numbe), 50 days, 100 days and user-input DIY look back period.
When Red Bar height is increasing, profitable level is increasing, stocks price is increasing with main funding is increasing.
Typically higher is better. More than 50% is preferred.
During a retrace or downtrend, the locked chips will lead to higher values of green bar.
Typically lower is better, 0 is preferred.
A simulated fund line (based on KDJ) and fund bull bear line are added to simulate the inflow and outflow of fund.
When fund line cross up bull bear line, it means the in flow of funding.
User can click to show in the setting.
A potential bottom catch alert based on volume and oversold situation are also added as reference.
A table with indicator name and values of profitable chips, floating chips and locked chips is added.
User can click to show or mute.
MCDX Plus is shown on DPIH (KLCI).
The Price chart shows the highest, lowest, average of 100day look back period, blue line being MA20.
MCDX's red bar is slightly over 50%, cross over the 10day Moving Average of profitable chips. Locked chips is 0.
We can also see fund cross over fund bull bear line briefly.
It is a positive movement.
User is recommend to do further technical analysis such as support and resistance, etc, to better understand trend.
Ideas to improve the scripts are welcome. Hope this help.
