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Ultimate IndicatorThis is a combination of all the price chart indicators I frequently switch between. It contains my day time highlighter (for day trading), multi-timeframe long-term trend indicator for current commodity in the bottom right, customizable trend EMA which also has multi-timeframe drawing capabilities, VWAP, customizable indicators with separate settings from the trend indicator including: EMA, HL2 over time, Donchian Channels, Keltner Channels, Bollinger Bands, and Super Trend. The settings for these are right below the trend settings and can have their length and multiplier adjusted. All of those also have multi-timeframe capabilities separate from the trend multi-time settings. The Day Trade Highlight option will draw faint yellow between 9:15-9:25, red between 9:25-9:45, yellow between 9:45-10:05. There will be one white background at 9:30am to show the opening of the market. while the market is open there will be a very faint blue background. For the end of the day there will be yellow between 15:45-15:50, red between 15:50-16:00, and yellow between 16:00-16:05. During the night hours, there is no coloring. The purpose of this highlight is to show the opening / closing times of the market and the hot times for large moves. The indicators can also be colored in the following ways: 1. Simple = Makes all colors for the indicator Gray 2. Trend = Will use the Donchian Channels to get the short-trend direction and by default will color the short-term direction as Blue or Red. Unless using Super Trend, the Donchian Channel is used to find short-term trend direction. 3. Trend Adv = Will use the Donchian Channels to get the short-trend direction and by default will color the short-term direction as Blue or Red. Unless using Super Trend, the Donchian Channel is used to find short-term trend direction. If there is a short-term up-trend during a long-term down-trend, the Blue will become Navy. If short-term down-trend during long-term up-trend, the Red will be Brown. 4. Squeeze = Compares the Bollinger Bands width to the Keltner Channels width and will color based on relative squeeze of the market: Teal = no squeeze. Yellow = little squeeze. Red = decent squeeze. White = huge squeeze. if you do not understand this one, try drawing the Bollinger Bands while using the Squeeze color option and it should become more apparent how this works. I also recommend leaving the length and multiplier to the default 20 and 2 if using this setting and only changing the timeframe to get longer/shorter lengths as I've seen that changing the length or multiplier can more or less make it not work at all. Along with the indicator settings are options to draw lines/labels/fills for the indicator. I enjoy having only fills for a cleaner look. The Labels option will show Buy/Sell signals when the short-term trend flips to agree with the long-term trend. The Trend Bars option will do the same as the Labels option but instead will color the bars white when a Buy/Sell option is given. The Range Bars option shows will color a bar white when the Close of a candle is outside of a respective ranging indicator option (Bollinger or Keltner). The Trend Bars will draw white candles no matter which indicator selection you make (even "Off"). However, Range Bars will only draw white when either Bollinger or Keltner are selected. The Donchian Channels and Super Trend are trending indicators and should be used during trending markets. I like to use the MACD in conjunction with these indicators for possibly earlier entries. The Bollinger Bands and Keltner Channel are ranging indicators and should be used during ranging markets. I like to use the RSI in conjunction with these indicators and will use 60/40 for overbought and oversold areas rather than 70/30. During a range, I wait for an overbought or oversold indication and will buy/sell when it crosses back into the middle area and close my position when it touches the opposite band. I have a MACD/RSI combination indicator if you'd like that as well :D As always, trade at your own risk. This is not some secret indicator that will 100% win. As always, the trades you see in the picture use a 1:1.5 or 1:2 risk to reward ratio, for today (August 8, 2022) it won 5/6 times with one trade still open at the end of the day. Manage your account correctly and you'll win in the long term. Hit me up with any questions or suggestions. Happy Trading!
Penunjuk Pine Script®
oleh theehoganator
11
Average Daily Range (ADR) (Multi Timeframe, Multi Period)Average Daily Range (ADR) (Multi Timeframe, Multi Period, Extended Levels) Tips • Narrow Zones are an indication of breakouts. It can be a very tight range as well. • Wider Zones can be Sideways or Volatile. What is this Indicator? • This is Average Daily Range (ADR) Zones or Pivots. • This have Multi Timeframe, Multi Period (Up to 3 Levels) and Extended Target Levels. Advantages of this Indicator • This is a Leading indicator, not Dynamic or Repaint. • Helps to identify the reversal points. • The levels are more accurate and not like the old formulas. • Can practically follow the Buy Low and Sell High principle. • Helps to keep minimum Stop Loss. Who to use? • Highly beneficial for Day Traders • It can be used for Swing and Positions as well. What timeframe to use? • Any timeframe. When to use? • Any market conditions. How to use? Entry • Long entry when the Price reach at or closer to the Green Support zone. • Long entry when the Price retrace to the Red Resistance zone. • Short entry when the Price reach at or closer to the Red Resistance zone. • Short entry when the Price retrace to the Green Support zone. • Long or Short at the Pivot line. Exit • Use past ADR levels as targets. • Or use the Target levels in the indicator for breakouts. • Use the Pivot line as target. • Use Support or Resistance Zones as targets in reversal method. What are the Lines? Gray Line: • It the day Open or can be considered as Pivot. Red & Green ADR Zones: • Red Zone is Resistance. • Green Zone is Support. • Mostly price can reverse from this Zones. • Multiple Red and Green Lines forms a Zone. • These lines are average levels of past days which helps to figure out the maximum and minimum price range that can be moved in that day. • The default number of days are 5, 7 and 14. This can be customized. Red & Green Target Lines: • These are Target levels. What are the Labels? • First Number: Price of that level. • Numbers in (): Percentage change and Change of price from LTP (Last Traded Price) to that Level. General Tips • It is good if Stock trend is same as that of the Index trend. • Lots of indicators creates lots of confusion. • Keep the chart simple and clean. • Buy Low and Sell High. • Master averages or 50%.
Penunjuk Pine Script®
oleh Arun_K_Bhaskar
100
Dynamic Zone Range on PDFMA [Loxx]Dynamic Zone Range on PDFMA is a Probability Density Function Moving Average oscillator with Dynamic Zones. What is Probability Density Function? Probability density function based MA is a sort of weighted moving average that uses probability density function to calculate the weights. What are Dynamic Zones? As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl" Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator. One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem. Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system. An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader. To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition: Find V such that: For dynamic zone buy: P{X <= V}=P1 For dynamic zone sell: P{X >= V}=P2 where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone. The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory. Calculating the Dynamic Zones The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone. For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone. In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone. Included 4 signal types Bar coloring Alerts Channels fill
Penunjuk Pine Script®
oleh loxx
1
Dynamic Zone Range on OMA [Loxx]Dynamic Zone Range on OMA is an One More Moving Average oscillator with Dynamic Zones. What is the One More Moving Average (OMA)? The usual story goes something like this : which is the best moving average? Everyone that ever started to do any kind of technical analysis was pulled into this "game". Comparing, testing, looking for new ones, testing ... The idea of this one is simple: it should not be itself, but it should be a kind of a chameleon - it should "imitate" as much other moving averages as it can. So the need for zillion different moving averages would diminish. And it should have some extra, of course: The extras: it has to be smooth it has to be able to "change speed" without length change it has to be able to adapt or not (since it has to "imitate" the non-adaptive as well as the adaptive ones) The steps: Smoothing - compared are the simple moving average (that is the basis and the first step of this indicator - a smoothed simple moving average with as little lag added as it is possible and as close to the original as it is possible) Speed 1 and non-adaptive are the reference for this basic setup. Speed changing - same chart only added one more average with "speeds" 2 and 3 (for comparison purposes only here) Finally - adapting : same chart with SMA compared to one more average with speed 1 but adaptive (so this parameters would make it a "smoothed adaptive simple average") Adapting part is a modified Kaufman adapting way and this part (the adapting part) may be a subject for changes in the future (it is giving satisfactory results, but if or when I find a better way, it will be implemented here) Some comparisons for different speed settings (all the comparisons are without adaptive turned on, and are approximate. Approximation comes from a fact that it is impossible to get exactly the same values from only one way of calculation, and frankly, I even did not try to get those same values). speed 0.5 - T3 (0.618 Tilson) speed 2.5 - T3 (0.618 Fulks/Matulich) speed 1 - SMA , harmonic mean speed 2 - LWMA speed 7 - very similar to Hull and TEMA speed 8 - very similar to LSMA and Linear regression value Parameters: Length - length (period) for averaging Source - price to use for averaging Speed - desired speed (i limited to -1.5 on the lower side but it even does not need that limit - some interesting results with speeds that are less than 0 can be achieved) Adaptive - does it adapt or not Variety Moving Averages w/ Dynamic Zones contains 33 source types and 35+ moving averages with double dynamic zones levels. What are Dynamic Zones? As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl" Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator. One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem. Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system. An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader. To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition: Find V such that: For dynamic zone buy: P{X <= V}=P1 For dynamic zone sell: P{X >= V}=P2 where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone. The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory. Calculating the Dynamic Zones The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone. For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone. In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone. Included 4 signal types Bar coloring Alerts Channels fill
Penunjuk Pine Script®
oleh loxx
2
ATRP (Average True Range Percent)ATRP compares the average true range in percentage terms between two periods. A healthy correction occurs with short-term volatility contracting vs longer-term volatility. It also helps spot low-risk entries as volatility falls. I also included the historical average true range in percentage terms so an investor can quickly visualize what a likely daily range will be. In my experience, it is vital to apply this analysis to stocks trending above their 50 and 200-day moving averages as stocks in downtrends can keep falling for extended periods of time with dwindling volatility.
Penunjuk Pine Script®
oleh CarusoInsights
13
Session LevelsThis indicator plots important session (intraday) levels for the day. It plots high and low of previous day, week, month, 52 week and all time. Also plots the vix range which shows the daily expected trading range of the instrument. These levels acts as important support/resistance for the day. For example, if price closes above previous day, week, or month high/low it indicates bullish sentiment and vice versa for bearish. Vix Range plots top, center, bottom line for expected trading range for the day. It is calculated based on the volatility index selected (NSE:India VIX is used by default).
Penunjuk Pine Script®
oleh ajithcpas
19
IR% - Intraday Range (% or $)Shows the percentage difference between the High and Low of the price bar expressed as a percent of the Open of that bar. In the settings, you can change to Price Change instead of percent change. This will show the price change between the High and Low for each price bar. It can be used on any time frame. I use it on the daily chart . I note the daily figure, and that lets me know how far the price tends to move during a typical day (no gaps included). If using on another time frame other than the daily, then it is an intrabar calculation, not intraday. Apply a moving average to it to see the average intraday movement after the open when using a daily chart . The IR% of a 1-minute chart tells you the price range of that one-minute price bar, and a weekly chart will show the price range of each weekly price bar. It only measures high to low versus the candle's open price. It does not include gaps between candles, which makes it different than the ATR. ATR is more useful for swing trading, where the trader may be holding through gaps in price, and thus wants to factor them in. The IR% is useful for day traders because it shows how much a stock tends to move during the day (intraday range), when using a daily chart . ATR is not as effective for this because it includes gaps, which day traders can't generally capitalize on. If the IR% is fluctuating between 5% and 10% over the last 50 days or so (on the daily chart ), day traders know that AFTER the open, the price is likely to move 5% to 10% from high point to low point. This can help with establishing profit targets, seeking out stocks that tend to move a lot within the day, or avoid these types of stocks if they are undesirable to you. Seek out low IR% stocks if you prefer lower movement during your selected time frame. A stock may have an ATR% of 5% but ATR doesn't tell us if that movement occurred after the open or includes a gap. Some stocks are prone to gaps. They may gap 4% most days, and then only move 1% during the day. This will still be a 5% ATR%, but most of that movement ISN'T capturable each day. The IR% for this stock would only be 1%, not 5% like the ATR suggests. I developed this because I like day trading volatile stocks, and I wanted a measure that ONLY includes movement during the day, and doesn't include price gaps in the calculation. Because as a day trader, gaps don't matter to me. I can only make money on what happens during the day, after the open. It is similar to another indicator called Average Day Range (ADR). Although most ADR calculations are already calculated as an average (so I don't see each individual value) or plots things on the chart. This may be useful for some people, but I wanted to see the data on each price bar, have the option to add a moving average or not, and not have anything plotted on the price chart. It also nice to be able to flip from % to $ dollar movement if desired.
Penunjuk Pine Script®
oleh CoryMitchell-CMT
2
Mansfield Long-Range BackgroundMansfield Long-Range Background. From Stan Weinstein's book. This plots the high-low range for the last N years, including the current year. It gives us an idea of any long-term resistance or support in play, which may affect how a trend behaves. Note that one could just as easily check the yearly chart to get what this is showing, but it's convenient to have a template with all the elements required to emulate a Mansfield chart.
Penunjuk Pine Script®
oleh ka66
4
Artharjan INDIA VIX v/s Nifty Volatility DashboardHi, I have created Artharjan INDIA VIX v/s Nifty Volatility Dashboard to forecast the Annual, Quarterly, Monthly, Weekly, Daily and Hourly Volatility of NIFTY Benchmark Index based on current value of INDIA VIX. This will help Index Options Sellers to decide the range of Nifty for the given period based on current level of volatility indicated by INDIA VIX. Options Sellers may make use of the Min Range and Max Range values for the Strike Price Selection. Regards Rahul Desai @Artharjan
Penunjuk Pine Script®
oleh rsdesai005
12
FTL - Range Filter X2 + EMA + UOThjs script combines two range filters, an EMA and the Ultimate oscillator. This is an indicator type of script with alerts that is ideal for one minute scalping and was developed initially for NAS100 but has been used successfully with other symbols. The two range filters are used to detect when the short and mid term trends are in the same direction. The EMA indicates the longer term trend and the UO is used to determine if an asset is overbought or oversold. This indicator pairs well with divergence indicators to add confluence to a change in direction. Additional features of this indicator: - Configure whether to show buy and sell labels only when asset is not overbought or oversold - Select whether to show buys only when price is above the EMA , or sells only below the EMA - Indicate a bar where a trend crosses the EMA and select if the crossover or cross under should be shown only in a counter trend. - Pullbacks within a trend can be identified. This may indicate trend continuation. - Alerts can be created for pullbacks, EMA crossing and for buy or sell signals
Penunjuk Pine Script®
oleh jwelmac
7
Correlations P/L Range (in percent)This script shows the inefficiency of the markets. Comparing two (correlated) symbols, the values above 0 means the main symbol (at the top of the graph) outperforms the other. A value below 0 means the main symbol underperforms the other. The band displays different entries until the last candle. Any P/L (of the band range) is visible in the band. Example: given a band range length of 5, then all last 5 values are compares with the current value for both symbols. Or in other words: If symbol A, lets say ETHUSD outperforms, lets say BITCOIN (the main symbol), in the last 5 candles, then we would see all values of the band are negative. Any question, comment or improvements are welcome.
Penunjuk Pine Script®
oleh mpeick
1