DrNon_NASDAQ10Title: NASDAQ 10 Index with TOP 10 Securities
Introduction:
TradingView offers traders and investors a powerful platform for technical analysis and trading. One of its notable features is the ability to create custom indices based on the values of multiple individual securities. In this blog post, we will explore how to build a custom index with 10 securities in TradingView using Pine Script, the platform's proprietary programming language.
Description:
Custom indices allow market participants to track the performance of a specific group of securities, providing valuable insights into the collective performance of the chosen assets. By leveraging Pine Script, traders can easily develop and deploy custom indicators and strategies to build their own indices.
The script provided focuses on creating a custom index with 10 securities. The selected securities include popular stocks such as AAPL (Apple Inc.), MSFT (Microsoft Corporation), GOOG (Alphabet Inc.), AMZN (Amazon.com Inc.), NVDA (NVIDIA Corporation), TSLA (Tesla Inc.), META (Facebook, Inc.), AVGO (Broadcom Inc.), PEP (PepsiCo, Inc.), and COST (Costco Wholesale Corporation).
Using the security() function in Pine Script, we retrieve the closing prices of each individual security to ensure accurate data for the index calculation.
The index value is then calculated by summing the closing prices of the 10 securities. This simple arithmetic operation captures the overall performance of the custom index.
To visualize the index, we use the plot() function to display the index value on the chart. Traders can observe the custom index alongside other technical indicators or price action, aiding in decision-making and market analysis.
By building a custom index with 10 securities in TradingView, traders gain a consolidated view of the performance of these chosen assets. This allows for easier tracking of sector trends, evaluation of specific strategies, and the ability to compare the performance of individual portfolios against the broader market.
Conclusion:
TradingView's Pine Script provides traders and investors with a flexible solution to build custom indices. By defining the 10 individual securities, calculating the index value, and plotting it on the chart, traders can monitor the collective performance of these chosen assets. Custom indices offer insights into sector performance, enable the evaluation of specific strategies, and provide a benchmark for comparing portfolio performance. By harnessing the power of custom indices in TradingView, traders can enhance their decision-making process and gain a competitive edge in the market.
Cari dalam skrip untuk "TESLA"
twisted SMA strategy [4h] Hello
I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 )
this is a classic combination showing the most probable trend directions
Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon)
ma 100 was used to determine the main trend, which is one of the most popular 4-hour candles
We define main trend while price crosses SMA100 ( for bullish trend I use green candle color )
The long position strategy was created in combination of 3 moving averages with Kaufman's adaptive moving average by alexgrover
The strategy is very accurate and is easy to use indicators
the strategy uses only Buy (Long) signals in a combination of crossovers of the SMA 4, SMA 9, SMA 18 and the Kaufman Adaptive Moving Average.
As a signal to close a long position, only the opposite signal of the intersection of 3 different moving averages is used
the current strategy is recommended for higher time zones (4h +) due to the strength of the closing candles, which translates into signal strength
works fascinatingly well for long-term bullish market assets (for example 4h Apple, Tesla charts)
Enjoy and trade safe ;)
Parallel Projections [theEccentricTrader]█ OVERVIEW
This indicator automatically projects parallel trendlines or channels, from a single point of origin. In the example above I have applied the indicator twice to the 1D SPXUSD. The five upper lines (green) are projected at an angle of -5 from the 1-month swing high anchor point with a projection ratio of -72. And the seven lower lines (blue) are projected at an angle of 10 with a projection ratio of 36 from the 1-week swing low anchor point.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Trendlines
Trendlines are straight lines that are drawn between two or more points on a price chart. These lines are used as dynamic support and resistance levels for making strategic decisions and predictions about future price movements. For example traders will look for price movements along, and reactions to, trendlines in the form of rejections or breakouts/downs.
█ FEATURES
Inputs
• Anchor Point Type
• Swing High/Low Occurrence
• HTF Resolution
• Highest High/Lowest Low Lookback
• Angle Degree
• Projection Ratio
• Number Lines
• Line Color
Anchor Point Types
• Swing High
• Swing Low
• Swing High (HTF)
• Swing Low (HTF)
• Highest High
• Lowest Low
• Intraday Highest High (intraday charts only)
• Intraday Lowest Low (intraday charts only)
Swing High/Swing Low Occurrence
This input is used to determine which historic peak or trough to reference for swing high or swing low anchor point types.
HTF Resolution
This input is used to determine which higher timeframe to reference for swing high (HTF) or swing low (HTF) anchor point types.
Highest High/Lowest Low Lookback
This input is used to determine the lookback length for highest high or lowest low anchor point types.
Intraday Highest High/Lowest Low Lookback
When using intraday highest high or lowest low anchor point types, the lookback length is calculated automatically based on number of bars since the daily candle opened.
Angle Degree
This input is used to determine the angle of the trendlines. The output is expressed in terms of point or pips, depending on the symbol type, which is then passed through the built in math.todegrees() function. Positive numbers will project the lines upwards while negative numbers will project the lines downwards. Depending on the market and timeframe, the impact input values will have on the visible gaps between the lines will vary greatly. For example, an input of 10 will have a far greater impact on the gaps between the lines when viewed from the 1-minute timeframe than it would on the 1-day timeframe. The input is a float and as such the value passed through can go into as many decimal places as the user requires.
It is also worth mentioning that as more lines are added the gaps between the lines, that are closest to the anchor point, will get tighter as they make their way up the y-axis. Although the gaps between the lines will stay constant at the x2 plot, i.e. a distance of 10 points between them, they will gradually get tighter and tighter at the point of origin as the slope of the lines get steeper.
Projection Ratio
This input is used to determine the distance between the parallels, expressed in terms of point or pips. Positive numbers will project the lines upwards while negative numbers will project the lines downwards. Depending on the market and timeframe, the impact input values will have on the visible gaps between the lines will vary greatly. For example, an input of 10 will have a far greater impact on the gaps between the lines when viewed from the 1-minute timeframe than it would on the 1-day timeframe. The input is a float and as such the value passed through can go into as many decimal places as the user requires.
Number Lines
This input is used to determine the number of lines to be drawn on the chart, maximum is 500.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
If the lines do not draw or you see a study error saying that the script references too many candles in history, this is most likely because the higher timeframe anchor point is not present on the current timeframe. This problem usually occurs when referencing a higher timeframe, such as the 1-month, from a much lower timeframe, such as the 1-minute. How far you can lookback for higher timeframe anchor points on the current timeframe will also be limited by your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000.
█ RAMBLINGS
It is my current thesis that the indicator will work best when used in conjunction with my Wavemeter indicator, which can be used to set the angle and projection ratio. For example, the average wave height or amplitude could be used as the value for the angle and projection ratio inputs. Or some factor or multiple of such an average. I think this makes sense as it allows for objectivity when applying the indicator across different markets and timeframes with different energies and vibrations.
“If you want to find the secrets of the universe, think in terms of energy, frequency and vibration.”
― Nikola Tesla
Fan Projections [theEccentricTrader]█ OVERVIEW
This indicator automatically projects trendlines in the shape of a fan, from a single point of origin. In the example above I have applied the indicator twice to the 1D SPXUSD. The seven upper lines (green) are projected at an angle of -5 from the 1-month swing high anchor point. And the five lower lines (blue) are projected at an angle of 10 from the 1-week swing low anchor point.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a high price equal to or above the price it opened.
• A red candle is one that closes with a low price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Trendlines
Trendlines are straight lines that are drawn between two or more points on a price chart. These lines are used as dynamic support and resistance levels for making strategic decisions and predictions about future price movements. For example traders will look for price movements along, and reactions to, trendlines in the form of rejections or breakouts/downs.
█ FEATURES
Inputs
• Anchor Point Type
• Swing High/Low Occurrence
• HTF Resolution
• Highest High/Lowest Low Lookback
• Angle Degree
• Number Lines
• Line Color
Anchor Point Types
• Swing High
• Swing Low
• Swing High (HTF)
• Swing Low (HTF)
• Highest High
• Lowest Low
• Intraday Highest High (intraday charts only)
• Intraday Lowest Low (intraday charts only)
Swing High/Swing Low Occurrence
This input is used to determine which historic peak or trough to reference for swing high or swing low anchor point types.
HTF Resolution
This input is used to determine which higher timeframe to reference for swing high (HTF) or swing low (HTF) anchor point types.
Highest High/Lowest Low Lookback
This input is used to determine the lookback length for highest high or lowest low anchor point types.
Intraday Highest High/Lowest Low Lookback
When using intraday highest high or lowest low anchor point types, the lookback length is calculated automatically based on number of bars since the daily candle opened.
Angle Degree
This input is used to determine the angle of the trendlines. The output is expressed in terms of point or pips, depending on the symbol type, which is then passed through the built in math.todegrees() function. Positive numbers will project the lines upwards while negative numbers will project the lines downwards. Depending on the market and timeframe, the impact input values will have on the visible gaps between the lines will vary greatly. For example, an input of 10 will have a far greater impact on the gaps between the lines when viewed from the 1-minute timeframe than it would on the 1-day timeframe. The input is a float and as such the value passed through can go into as many decimal places as the user requires.
It is also worth mentioning that as more lines are added the gaps between the lines, that are closest to the anchor point, will get tighter as they make their way up the y-axis. Although the gaps between the lines will stay constant at the x2 plot, i.e. a distance of 10 points between them, they will gradually get tighter and tighter at the point of origin as the slope of the lines get steeper.
Number Lines
This input is used to determine the number of lines to be drawn on the chart, maximum is 500.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
If the lines do not draw or you see a study error saying that the script references too many candles in history, this is most likely because the higher timeframe anchor point is not present on the current timeframe. This problem usually occurs when referencing a higher timeframe, such as the 1-month, from a much lower timeframe, such as the 1-minute. How far you can lookback for higher timeframe anchor points on the current timeframe will also be limited by your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000.
█ RAMBLINGS
It is my current thesis that the indicator will work best when used in conjunction with my Wavemeter indicator, which can be used to set the angle. For example, the average wave height or amplitude could be used as the value for the angle input. Or some factor or multiple of such an average. I think this makes sense as it allows for objectivity when applying the indicator across different markets and timeframes with different energies and vibrations.
“If you want to find the secrets of the universe, think in terms of energy, frequency and vibration.”
― Nikola Tesla
Time of Day - Volatility Report█ OVERVIEW
The indicator analyses the volatility and reports statistics by the time of day.
█ CONCEPTS
Around the world and at various times, different market participants get involved in the markets. How does this affect the market?
Knowing this gets you better prepared and improves your trading. Here are some ideas to explore:
When is the market busy and quiet?
What time is it the most volatile?
Which pairs in your watchlist are moving while you are actively trading?
Should you adjust your trading time? Should you change your trading pairs?
When does your strategy perform the best?
What entry times do your winners have in common? What about the exit times of your losers?
Is it worth keeping your trade open overnight?
Bitcoin (UTC+0)
Gold (UTC+0)
Tesla, Inc. (UTC+0)
█ FEATURES
Selectable time zones
Display the statistics in your geographical time zone (or other market participants), the exchange time zone, or UTC+0.
Configurable outputs
Output the report statistics as mean or median.
█ HOW TO USE
Plot the indicator and visit the 1H timeframe.
█ NOTES
Gaps
The indicator includes the volatility from gaps.
Calculation
The statistics are not reported from absolute prices (does not favor trending markets) nor percentage prices (does not depict the different periods of volatility that markets can go through). Instead, the script uses the prices relative to the average range of previous days (daily ATR).
Extended trading session
The script analyses extended hours when activated on the chart.
Daylight Saving Time (DST)
The exchange time or geographical time zone selected may observe Daylight Saving Time. For example, NASDAQ:TSLA always opens at 9:30 AM New York time but may see different opening times in another part of the globe (New York time corresponds to UTC-4 and UTC-5 during the year).
Reinforced RSI - The Quant Science This strategy was designed and written with the goal of showing and motivating the community how to integrate our 'Probabilities' module with their own script.
We have recreated one of the simplest strategies used by many traders. The strategy only trades long and uses the overbought and oversold levels on the RSI indicator.
We added stop losses and take profits to offer more dynamism to the strategy. Then the 'Probabilities' module was integrated to create a probabilistic reinforcement on each trade.
Specifically, each trade is executed, only if the past probabilities of making a profitable trade is greater than or equal to 51%. This greatly increased the performance of the strategy by avoiding possible bad trades.
The backtesting was calculated on the NASDAQ:TSLA , on 15 minutes timeframe.
The strategy works on Tesla using the following parameters:
1. Lenght: 13
2. Oversold: 40
3. Overbought: 70
4. Lookback: 50
5. Take profit: 3%
6. Stop loss: 3%
Time period: January 2021 to date.
Our Probabilities Module, used in the strategy example:
[blackcat] L3 Candle Skew 3821 TraderLevel 3
Background
By modeling skew to produce long and short entry points.
Function
The concept of skew comes from physics and statistics, and is used in market technical analysis to reflect the expectation of future stock price distribution. Because the return distribution of stocks in the trend market has skew (Skew), it is reasonable to judge the trend continuity according to the historical and current skew. It is precisely because the stock price rises that there is a skew. The greater the strength of the rise, the greater the angle of inclination and the greater the skew. The degree of this upward or downward slope in the statistical distribution of stock prices is defined as skew. Through the size of skew, we can know the direction, inertia and extent of the stock's rise or fall, and find stocks with a high probability of quick profit. The technical indicator introduced today is a simplified but effective stock price skew model used to generate buying and selling points.
The principle of this technical indicator is based on the success rate test results of different moving averages corresponding to different skews as follows:
10 trading cycles profit 5% success rate (%)
5 period moving average 10 period moving average 20 period moving average 30 period moving average 60 period moving average
skew>=0 51.36 52.26 52.65 52.55 52.08
skew>=0.5 55.44 58.06 60.56 62.37 65.66
skew>=1 59.72 63.06 67.07 69.78 70.62
skew>=1.5 63.01 67.08 71.61 72.9 70.61
skew>=2 65.53 70.22 74.18 73.76 70.12
skew>=2.5 67.89 72.93 75.32 73.66 68.92
skew>=3 70.07 75.32 75.69 72.54 67.45
skew>=3.5 71.85 77.05 75.32 73.63 63.82
skew>=4 73.6 78.06 74.19 68.96 59.91
skew>=4.5 76.04 78.56 72.85 69.55 49.24
skew>=5 77.44 78.88 71.58 67.28 51.69
skew>=5.5 78.97 78.39 70.33 64.31 49.7
skew>=6 79.68 78.07 68.82 61.65 53.57
Table 1
As can be seen from the above table, with the increase of the 5-period and 10-period moving average skew values, the success rate is increasing, but after the 20- and 30-period moving average skew values increase to an upper bound, it shows a downward trend. When the skew of the 20-period and 30-period moving averages is greater than 0.5, the 10-period profit of 5% is above 60%, and when it is greater than 1.5, the success rate can reach above 70%. The larger the 5-period moving average skew, the higher the success rate, but often because the short-term skew is too large, the stock price has risen rapidly to a high level, and chasing up is risky, which is not suitable for the investment habits of most people, so prudent investors may like to do swings. Investors may wish to pay more attention to the skew of the 20-period and 30-period moving averages. Based on the above analysis, as a short-term trading enthusiast, I need to choose the 5-period and 10-period moving average skew, and consider the medium-term trend as a compromise, and I also need to consider the 20-period moving average skew. Finally, according to the principle of personal preference, I chose 3 groups of periods based on Fibonacci magic numbers: 3 periods, 8 periods, 21 periods, and skews that take into account both short-term and mid-line trends. So, I named this indicator number 3821 as a distinction.
002084 1D from TradingView
BTCUSDT 1H from TradingView
Tesla 1D from TradingView
God Number Channel v2(GNC v2)GNC got a little update:
1) Logic changed a bit.
I tried to calculate MAs based on the power(high - low of previous bars).You can see it the M-variables, as new statements were added in calculation section of MAs. I don't really know if I did right, because I didn't go too much in Pine Script. I just wanted to make a Bollinger-bands-like bands, which could predict the levels at which might reverse, using legendary fibonacci and Tesla's harmonic number 432. It's might sound as a joke, but as you can see, it works pretty good.
2) Customization :
No need to change Fibonacci ratios in code. Now you can do it in the GNC settings. Also MAs' names were made obvious, just check it out. Time of million similar "MA n1" has passed :)
3) Trade-entry advices :
I didn't tell you exactly the trade-entry advices, as I haven't explored this script fully yet :) But you probably understood something intuitively, when added GNC on the chart. Now I made things way more obvious:
1. Zones between Fib ratios show you how aware you should be of price movements. Basically, here are the rules, but you probably understand them already:
1.1 Red zone(RZ) : high awareness, very likly for price to be reversed, but if there is a clear trend and you know, than it might be a time for price to shoot up/down.
1.2 Orange zone(OZ) : medium awareness, not so obvious, as price might go between boundaries of OZ and continue the trend movement if such followed before entering the OZ. If price go below lower boundary of OZ and the next bar opens below this boundary, it might be a signal for SHORY, BUT(!) please consider confirmation of any sort to be more sure. Think of going beyond the upper boundary by analogy.
1.3 Green Zone(GZ) : if the price hits any boundary of green zone, it is usually a good oppurtunity to open a position against the movement(hit lower boundary -> open LONG, hit upper boundary -> open SHORT).
1.4 Middle Zone(Harmonic Zone)(MZ) : same rules from Green Zone.
IMPORTANT RECCOMENDATION : Use trend indicator to trend all signals from zones to follow the trend, 'cause counter-trending with this thing without stop loss might very quickly wipe you out , might if you will counter-trend strategy with GNC, I will be glad if you share it with the community :)
Reccomendation for better entries :
1) if the price hits the lower(or high) boundaries(LB or HB) zone after zone(hit LB or HB of RZ, then of OZ, then of GZ), it is a very good signal to either LONG, if price was hitting LBs , or SHORT, if hitting HBs .
2) Consider NOT to place trades when in MZ, as price in this zone gets tricky often enough. By the way, if you dont the see the harmonic MAs(which go with plot(ma1+(0.432*avg1)) ), then set the transparency of zone to 20% or a bit more and then it will be ok.
I will continue to develop the GNC and any help or feedback from you, guys, will be very helpful for me, so you welcome for any of those, but please be precise in your critics.
Thank you for using my stuff, hope you found it usefull. Good luck :)
2 MA Ratio Can Help with Moving AveragesMany technical analysts use moving average crosses to assess trend changes. A faster-moving MA crossing above a slower-moving line may be viewed as a bullish signal. The opposite can apply to the downside.
While these methods may help analyze price direction, they can often force traders to wait until the cross occurs. Sometimes it may be useful to anticipate the event – or at least know it’s getting close.
That’s where the custom script 2 MA Ratio can be useful because it tracks the fast and slow moving averages. The fast MA is then shown as a percent of the slow MA. Positive readings indicate a bullish condition and vice versa for the negative.
It’s also color-coded to clearly illustrate when the crosses occur.
2 MA Ratio can handle simple moving averages (SMAs) and exponential moving averages (EMAs). It even lets you compare SMAs to EMAs. Users can choose between using open, high, low or closing prices as the inputs. (It defaults to Close.)
The chart above shows the short-term pair of the 8- and 21-day EMAs on Tesla (TSLA). The second chart below shows the same stock with the slower 50- and 200-day SMAs. Notice the “Golden Cross” last summer and the “Death Cross” in May:
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JMA filter 2This is based on ChuckBanger Juric indicator (a modification of it)
things you need to know how to work with this one
to control the wave setting you need to adjust the length , slow ,fast and c in menu for optimal result
positive trend is above zero in green
negative trend bellow zero red
the best part herein this indicator is to finding of high and low based on lower treshold =trel
higher threshold for high =treh
there is signals once it crossed up or down
for each time frame you need to set the threshold for optimal results as it change for each TF it will be different so be careful about it
so rule of thumb is to look for the previous peaks either up or down and to set the threshold according to it
it more sensitive then RSI to my opinion and very good to detect sweet spot either for sell or buy
one can add alerts (not included)
or modify it to make it better
here on Tesla
Volatility/Volume ImpactWe often hear statements such as follow the big volume to project possible price movements. Or low volatility is good for trend. How much of it is statistically right for different markets. I wrote this small script to study the impact of Volatility and Volume on price movements.
Concept is as below:
Compare volume with a reference median value. You can also use moving average or other types for this comparison.
If volume is higher than median, increment positive value impact with change in close price. If volume is less than median, then increment negative value impact with change in close price.
With this we derive pvd and nvd which are measure of price change when volume is higher and lower respectively. pvd measures the price change when volume is higher than median whereas nvd measures price change when volume is lower than median.
Calculate correlation of pvd and nvd with close price to see what is impacting the price by higher extent.
Colors are applied to plots which have higher correlation to price movement. For example, if pvd has higher correlation to price movement, then pvd is coloured green whereas nvd is coloured silver. Similarly if nvd has higher correlation to price then nvd is coloured in red whereas pvd is coloured in silver.
Similar calculation also applied for volatility.
With this, you can observe how price change is correlated to high/low volume and volatility.
Let us see some examples on different markets.
Example 1: AMEX:SPY
From the chart snapshot below, it looks evident that SPY always thrive when there is low volatility and LOW VOLUME!!
Example 2: NASDAQ:TSLA
The picture will be different if you look at individual stocks. For Tesla, the price movement is more correlated to high volume (unlike SPY where low volume days define the trend)
Example 3: KUCOIN:BTCUSDT
Unlike stocks and indices, high volatility defined the trend for BTC for long time. It thrived when volatility is more. We can see that high volume is still major influencer in BTC price movements.
Settings are very simple and self explanatory.
Hint: You can also move the indicator to chart overlay for better visualisation of comparison with close price.
Long Term Buy/Sell Signal by BonyThis script attempts to use Exponential Moving averages (short-term and long-term convergence) of different lengths in order to identify trade entries and exits for bullish & bearish trades. I would strongly recommend using this as a guide to enter or exit long-term swing trades on growth names such as Apple, Tesla, Microsoft to keep your emotions out of the trading. You use this script by entering a trade when it signals a green BUY signal with a UP arrow and exiting when it signals red. The general idea is that one is fast and one is slow-moving EMA and these indicate when to buy/sell when they crossover the overbought/sold lines.
Disclaimer:
This script is for educational purposes only. The market is always moving up or down, so always trade with caution and use your best judgment for every trade.
[CP]Pivot Boss Floor Pivots with ATR Dilation and Dynamic LevelsINTRODUCTION:
Compared to all the Pivot Indicators available on Trading View Public Library, this Floor Pivots Indicator differentiates itself in two major original ways:
Dilates the Pivot Support/Resistance Levels into Support/Resistance Bands based on volatility
Displays the S/R Levels Dynamically , that is, only those levels will be shown that are close enough to the price resulting in much cleaner looking charts.
There were a few features whose logic I had figured out, but I could not implement them due Pine Script’s Limitation (they should really work on increasing Pine Script’s capacity instead of adding more and more features to the language in order to make it look ‘better’):
Showing multiple timeframe pivots at the same time (not possible due to Pine Script’s limitation on the ‘Max Number of Outputs’ )
Automatic Detection of highly profitable Double Hot Pivot Zones (DPZ), also due to the ‘Max Number of Outputs’ limit
GENERAL USER INPUTS:
Most of the settings are self-explanatory, however, a few of them need some explanation:
Show Floor Pivots Dynamically – This will turn ON the dynamic pivot levels, please note that this function will work ONLY IN INTRADAY timeframes.
Dynamic Pivot ATR Period – Period over which the ATR value is calculated to show the pivots dynamically.
ATR Threshold for Dynamic Floor Pivots – Simply put, the indicator will start displaying Pivot Levels if they fall within the 2*ATR distance (default value) of the price. You can increase this number if the volatility increases and vice-versa.
Use ATR to Dilate Intraday Pivot Levels – This will turn ON Floor Pivot Dilation, turning pivot ‘lines’ into ‘bands’ .
ATR Dilation Factor – This number decides the width of the Pivot bands. Larger this number, thicker the bands. Typically, high volatility stocks will require a higher number.
ATR Period – Same as Dynamic Pivot ATR Period, but for Pivot Level Dilation.
INDICATOR USAGE EXAMPLES:
This indicator works great in conjunction with my Pivot Boss Candlestick Scanner indicator.
There are a lot of optimizations I have done in the code, although it looks trivial at first glance, but it's fairly complex.
Feel free to use it and modify it as you wish.
Here are a few examples where the indicator has shown great entries and exits, with the default settings:
NIFTY 5m Chart
Reliance 5m Chart
Tesla 5m Chart
Bitcoin-USDT 15m Chart
FINAL WORDS:
Please understand that I have Cherry Picked the examples to showcase the capability of the indicator and its usage.
DO NOT conflate the accuracy of examples with the accuracy of this indicator.
Once you start using floor pivots, you will realize that a lot of days simply don’t give any high probability setups and you will simply sit out of the market and do nothing (which is a good thing).
If you really want to learn how to use Pivots, read the book ’Secrets of a Pivot Boss’ . This book can change your life.
Vwap mtf Swing Stock StrategyThis is a trending strategy designed for stock market, especially long trending assets such as TSLA, NIO, AMAZON and so on.
Its made of volatility bands and weekly VWAP, in this case daily and weekly.
This strategy has been adapted to go long only.
Rules for entry
For long , we want to enter close of a candle is above vwap weekly, and at the same time the close of a candle cross-under the lower volatility band.
For exit , we want to enter close of a candle is below vwap weekly, and at the same time the close of a candle cross-over the upper volatility band.
This strategy does not have a risk management inside, so use it with caution.
If you have any questions, let me know !
DMI-LinearThis indicator based on DMI + a modified version of it and a modified version of linear regression
so best enter point is either when it cross mid-line of linear regression line or cross zero
1 hour chart
can enter when it bellow low line and lower part of linear channel
exit on opposite direction
you can modify this script and make it better no need for my approval
tesla
TreLThis indicator based on linear regression trend
blue line is trend postive or buy trend. red line trend is sell
there is MTF non repiant to add for it so you can see the trend at differnt TF
upper and lower of chanel are i gray line
very simple and effective way to use linear regression in a diffrent approach
tesla
withot mtf
EMA clouds (5/12 and 34/50)This is a custom ema cloud script with a 5/12 cloud and a 34/50 cloud.
Personally, I used to trade with the 20 ema and 50 ema, but wanted something with a little more robust. These clouds are especially great for the first hour of market open since strong bullish stocks that have gapped up overnight tend to follow these trends.
For example, Tesla opened above the clouds and used them as support before running all day.
NIO happened to do a similar move.
Percentage Relative StrengthA relative strength indicator that compares your main symbol (one on your chart) strength to another symbol by percentage.
The result is plotted as a histogram showing which symbol is rising or falling more in percentage.
In case your chart symbol is TSLA (Tesla) and the indicator 'Symbol to compare' is SPX:
GREEN area (above zero) means TSLA is rising more than the SPX.
RED area (below zero) means TSLA is falling more than the SPX.
To these who wants to understand calculation, it's pretty straightforward.
For each asset we calculate everyday percentage change based on previous close and current close.
We take main asset (chart symbol) percentage and subtract it from percent of change of the symbol we want to compare to.
Result are smoothed by SMA (Simple Moving Average)
You can select different indexes or cfds such as S&P500 (SPX), NASDAQ 100 (NSX), RUSSELL 2000 (RUT) and NASDAQ (IXIC).
Default is S&P 500 (SPX).
Enjoy and Like if you like.
Stock Market Strategy : VWAP, MACD, EMA, Breakout, BBHello there,
Today I bring you a stock market strategy, specialized in NASDAQ stocks.
Its a daytrading strategy, that can only do a max of 1 trade per day. In this case it only trades the first 2 opening hours of the market.
The rules are simple :
We follow the trend based on a big EMA, in this case 200, after that, we check for VWAP direction , then, we check histogram from MACD. This is the simple logic of the strategy.
Inside there is another strategy, that not just do the above, but also uses Bollinger bands, and checks for breakout of bottom or top line. Also it uses Average directional Index, for even a bigger criteria .
So for example a long condition it would be : candle is above the ema, and candle is above vwap, and histogram is positive, and candle break the top bb level and ADI < 40 -> long signal . The opposite works for short(ADI > 20).
In this case all this criterias are between the first 2 hours of market. So we enter between the first hour, and exit in the next hour. For this we need to use very short time frames.
Hope you enjoy it.
Let me know if you have any questions
R/S trend my stupid country go to lockdown again due to covid 19, so at least i can play with some scripts:)
This is not super trend but by the same logic, we can make a trend based on support and resistance.
r =length so if you want it to buy more make it shorter or vice versa
alerts inclusded plus signals
the trend based o finding highest high and lowest low
i hope you like this one
tesla
Periodic price change comparisonPeriodic price change.
Application:
Sector rotation analysis by comparing different tickers.
Simple statistical analysis (with lookback period) for knowing how good they were.
If you are a believer in sector rotation, you can add different sector stocks to see which of them are lagged behind and buy them.
In this example, you could see tesla periodically fall behind the market. You can buy it when it is on that zone.
And you can also refer to the sharpe ratio and the average gain rate on the chart to see how good the stocks were.
JMA filter 1This my adapt version of juric filter
I took the script from chuck berger
I just add my adaptation to it
i think it make this filter more accurate
Lazy Bear is the original creator of this filter
by time it has many version
So I try to make my to this great script
buy is lime
sell is red
thanks to original authors
tesla
dow 30
etc etc:)
MA VPTVery nice trend follower based on VPT from my early stuff
and MA that i created from indicator step V (in my indicator list)
when one is above the other we get signal
buy is lime
sell is orange
here the TF is set to 180 for indicator MA and 720 for the VPT
if you want i can add alerts and symbols later
very simple indicator but show the trend very nicely
tesla 4 hour
msf
gold
