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Volume composition / quantifytools— Overview While net volume is useful information, it can be a blunt data point. Volume composition breaks down the content of volume, allowing a more detailed look inside each volume node. Volume composition consists of the following information: Total volume (buy and sell). By default gray node. Dominating volume (buy or sell). By default dark green/dark red node. Dominating active volume (buy or sell). By default light green/light red node. Dominating volume as percentage of total volume. Dominating active volume as percentage of total active volume. Buy and sell volume is defined by volume associated with lower timeframe up/down moves. This classification is further broken down to passive/active, standing for decreasing/increasing volume, e.g. a move up with volume higher than previous bar volume = active buy volume, a move up with volume lower than previous bar volume = passive buy volume. Volume data is fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied: Charts <= 30 min: 1 minute timeframe Charts > 30 min & <= 3 hours : 5 minute timeframe Charts > 3 hours & <= 8 hours : 15 minute timeframe Charts > 8 hours & <= 1D: 1 hour timeframe Charts > 1D & <= 3D : 2 hour timeframe Charts > 3D: 4 hour timeframe Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining buy/sell volume, e.g. using close as source, a close that is higher than previous close would be considered as buy volume. This could be replaced with OHLC4 for example, resulting in a volume direction based on OHLC average. Volume composition of current chart can also be replaced with any other chart volume composition: — Visuals Breakdown of visual elements: 1. Symbol and timeframe used for volume composition calculations. By default the chart that is viewed and automatically selected lower timeframe. 2. Dominating volume threshold exceeded. Can be defined via input menu, 70% of total volume by default. 3. Dominating volume as percentage of total volume. Plotted below volume nodes, without % symbol. 4. Dominating active volume, + or - symbol, standing for buy and sell. Plotted below dominating volume percentage. When dominating volume and dominating active volume sides are in a disagreement (e.g. dominating volume is on buy side while dominating active volume is on sell side) this symbol will appear inside brackets, (+) or (-). 5. Dominating active volume as percentage of total active volume. Plotted below +/- symbol. 6. Dominating active volume threshold exceeded. Can be defined via input menu, 70% by default. Dominating volume & active volume percentages can be rounded to single numbers to avoid clutter caused by overlapping values. The percentage values will be rounded to closest single number value, e.g. dominating volume percentage at 54% = 5, dominating volume percentage at 55% = 6. Volume anomalies can be highlighted on the chart with a color for studying the events and their past implications in greater detail. Available anomalies for highlights are the following: Buy volume threshold exceeded Sell volume threshold exceeded Active buy volume threshold exceeded Active sell volume threshold exceeded Volume & active volume divergence — Practical guide Volume is arguably one of the most important data points as it directly relates to liquidity. High volume can be an indication of strength (price likely to continue moving) or absorption (price likely to halt/turn). Same applies to active volume, but with an element of aggression. High active volume serves as an indication of exuberance or otherwise forceful transacting, like stop losses triggering. With these principles in mind, the composition of volume allows distinguishing potentially important events. Example #1 : Identifying areas of trapped market participants Often when volume spikes distinctively, we can make the case that price has found sufficient liquidity to halt/turn. Since we know which side was absorbed, in what quantity and type (passive/active), we can identify areas of trapped market participants. In such scenarios, the higher the dominant active volume and volume spike itself, the better. Example #2 : Identifying a healthy trend A healthy trend is one that has an active and consistent bid driving it. When this is the case, it can be seen in consistently supportive active volume. Example #3 : Identifying inflection points When dominant side of volume and dominant side of active volume diverge, something is up. A divergence often marks an area of indecision, hinting an imminent move one way or the other.
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quantifytools tarafından
100
RSI Objective LinesThe RSI is a contrarian indicator bounded between 0 and 100 where values close to the area of 30 represent an oversold condition and values close to the area of 70 represent an overbought condition. Generally, we use the area of 70/75 and the area of 30/25 as extremes that signal a market reversal or a correction. But what if we calculate a simple way to make these levels more dynamic? The main idea from these objective support and resistance levels is that market regime and dynamics move and as such fixed levels are unlikely to always provide value which means that we can try creating variable levels. The objective support and resistance levels are created following these steps: * Calculate a 14-period RSI on the close price, let's call this RSI_Close. * Calculate a 14-period RSI on the high price, let's call this RSI_High. * Calculate a 14-period RSI on the low price, let's call this RSI_Low. * Calculate the maximum range which is the highest value of RSI_High in the last 200 periods minus the lowest value of RSI_Low in the last 200 periods. Let's call this Max_Range * Define the range width. By default, it is set to 5%. Let's call this Threshold. * The objective support is calculated as the sum of the RSI_Low + (Max_Range * Threshold). * The objective resistance is calculated as the sum of the RSI_High - (Max_Range * Threshold). The levels are used in the same way as the oversold and overbought levels. They are more dynamic as they take into account the fluctuations of the RSI so you might see at some point in time a support at 20 and at another at 35.
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Sofien-Kaabar tarafından
6
Opening Range, Initial Balance, Opening PriceThis script draws Opening Range, Initial Balance and Opening Price with options to show mid levels. By default, lines changes color depending on whether closing price is above or below the lines. Red if price is below, green if price is above. Colors and line styles are all configurable. Options to change label positions. Some definitions: Opening Range - The opening range is high and low for a given period after the market opens. This period is generally the first 30 or 60 minutes of trading Initial Balance - WRT to TPO profile chart, the Initial Balance is the price range resulting from the market’s trade during the first two 30 minute periods of the regular trading hours session. Why is this useful? The first hour of the trading day is the most active and dynamic period. The price range defined by this period of trading creates some key support / resistance levels for the rest of the day. Example below:
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PtGambler tarafından
14
Index OverlayNote: use this indicator only with New York Timezone + you need to understand ICT concepts already, this indicator simplifies the chart work. Also, in this script I added some open-source scripts from creators here on tradingview, but I forgot to annotate their names... If you recognize your script, please text me and I'll add your credits. features - displays Midnight and Sunday open lines - day separation (from midnight) - FVGs - VWAP (calculated from midnight open) - daily labels - TDH & TDL (liquidity) - trading time window (from 9:30 to 12:00 ny time) HOW TO USE Combined with daily bias, the idea is to wait for 9:30 to open, and then wait for a liquidation of TDH (plotted in blue) or TDL (in red). Once it happens, you can look for ICT buy / sell model, ideally in the 5m TF.
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carlob777 tarafından
3
Time & volume point of control / quantifytoolsWhat are TPOC & VPOC? TPOC (time point of control) and VPOC (volume point of control) are points in price where highest amount of time/volume was traded. This is considered key information in a market profile, as it shows where market participant interest was highest. Unlike full fledged market profile that shows total time/volume distribution, this script shows the points of control for each candle, plotted with a line (time) and a dot (volume). The script hides your candles/bars by default and forms a line in the middle representing candle range. In case of candles, borders will still be visible. This feature can be turned off in the settings. Volume and time data are fetched from a lower timeframe that is automatically adjusted to fit the timeframe you're using. By default, the following settings are applied: Charts <= 30 min: 1 minute timeframe Charts > 30 min & <= 3 hours : 5 minute timeframe Charts > 3 hours & <= 8 hours : 15 minute timeframe Charts > 8 hours & <= 1D: 1 hour timeframe Charts > 1D & <= 3D : 2 hour timeframe Charts > 3D: 4 hour timeframe Timeframe settings can be changed via input menu. The lower the timeframe, the more precision you get but with the cost of less historical data and slower loading time. Users can also choose which source to use for determining price for points of control, e.g. using close as source, the point of control is set to match the value of lower timeframe candle close. This could be replaced with OHLC4 for example, resulting in a point of control based on OHLC average. To identify more profound points of market participant interest, TPOC & VPOC as percentage of total time/volume thresholds can be set via input menu. When a point of control is equal to or greater than the set percentage threshold, visual elements will be highlighted in a different color, e.g. 50% VPOC threshold will activate a highlight whenever volume traded at VPOC is equal to or greater than 50% of total volume. All colors are customizable. VPOC is defined by fetching lower timeframe candle with the most amount of volume traded and using its close (by default) as a mark for point of control. For TPOC, each candle is divided into 10 lots which are used for calculating amount of closes taking place within the bracket values. The lot with highest amount of closes will be considered a point of control. This mark is displayed in the middle point of a lot: How to utilize TPOC & VPOC Example #1: Trapped market participants One or both points of control at one end of candle range (wick tail) and candle close at the other end serves as an indication of market participants trapped in an awkward position. When price runs away further from these trapped participants, they are eventually forced to cover and drive price even further to the opposite direction: Example #2: Trend initiation A large move that leaves TPOC behind while VPOC is supportive serves as an indication of a trend initiation. Essentially, this is one way to identify an event where price traded sideways most of the time and suddenly moved away with volume: Example #3: POC supported trend A trend is healthy when it's supported by a point of control. Ideally you want to see either time or volume supporting a trend:
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quantifytools tarafından
49
Public Sentiment Oscillator This is a combination of 9 common use indicators turned into on single oscillator. These indicators are: 200 day moving average cross, 9/12 ema cross, 13/48 sma cross, rsi, stochastic, mfi, cci, macd, and open close trend. I have weighted the scores to be pretty even so that its balances each indicator in the sum. Because of the odd number of indicators, I have decided to normalized the score to 10. I think this has the effect of making it easier to read. The score definition: oc_trend > 0 ? 1 : 0, fast_e > slow_e ? 1 : 0, fast_s > slow_s ? 1 : 0, rsi < 30 ? 0 : rsi > 30 and rsi < 70 ? 0.5 : rsi > 70 ? 1 : 0, macd1 > macd2 ? 0.5 : macd1 < macd2 ? 0 : 0, (hist >=0 ? (hist < hist ? 0.5 : 0.25) : (hist < hist ? 0.25 : 0)), stoch < 20 ? 0 : stoch > 20 and stoch < 80 ? 0.5 : stoch > 80 ? 1 : 0, source > ma200 ? 1 : ex <= ma200 ? 0 : 0, mfi < 20 ? 0 : mfi > 20 and mfi < 80 ? 0.5 : mfi > 80 ? 1 : 0, cci < -100 ? 0 : cci > -100 and cci < 100 ? 0.5 : cci > 100 ? 1 : 0 I hope you find this useful in your trades. Enjoy!
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The_Peaceful_Lizard tarafından
1
Orion:Supertrend HybridSupertrend Hybrid This indicator is a combination of the Supertrend and Donchian Channels. The original Supertrend indicator shades the area from the mean (hl2) of the bar/candle to the Supertrend line. This Hybrid uses the mid section of the Donchian channel to the Supertrend line as the area to be shaded. This provides a visual of when prices are getting close to potentially reversing the trend. Values: Length = Length of the Donchian Channels (Default: 12) ATR Length = Lookback length of the ATR calculation (Default: 10) Factor = Multiply the ATR by this value to get a trend reversal value (Default: 3.0) Prices cross above the red line indicating a bullish trend is in play Prices cross below the green line indicating a bearish trend is in play Yellow line represents the mid-section of the Donchian Channel. Suggested usage: Add a Stochastic and set the Stochastic %K Length to the same value as the Donchian Length. When below trend (red line dominate) and prices cross into the shaded area, if stochastic crosses above 70, prices may challenge/cross the red trend line. When above trend (green line dominate) and prices cross into the shaded area, if stochastic crosses below 30, prices may challenge/cross the green trend line. IF in an up trend (green line dominate) and stochastic crosses/remains above 70, potential higher price movement exists. IF in an down trend (red line dominate) and stochastic crosses/remains below 30, potential lower price movement exists.
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priceprophet tarafından
2
JFD-Adaptive, GKYZ-Filtered KAMA [Loxx]JFD-Adaptive, GKYZ-Filtered KAMA is a Kaufman Adaptive Moving Average with the option to make it Jurik Fractal Dimension Adaptive. This also includes a Garman-Klass-Yang-Zhang Historical Volatility Filter to reduce noise. What is KAMA? Developed by Perry Kaufman, Kaufman's Adaptive Moving Average ( KAMA ) is a moving average designed to account for market noise or volatility . KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements. What is Jurik Fractal Dimension? There is a weak and a strong way to measure the random quality of a time series. The weak way is to use the random walk index ( RWI ). You can download it from the Omega web site. It makes the assumption that the market is moving randomly with an average distance D per move and proposes an amount the market should have changed over N bars of time. If the market has traveled less, then the action is considered random, otherwise it's considered trending. The problem with this method is that taking the average distance is valid for a Normal (Gaussian) distribution of price activity. However, price action is rarely Normal, with large price jumps occuring much more frequently than a Normal distribution would expect. Consequently, big jumps throw the RWI way off, producing invalid results. The strong way is to not make any assumption regarding the distribution of price changes and, instead, measure the fractal dimension of the time series. Fractal Dimension requires a lot of data to be accurate. If you are trading 30 minute bars, use a multi-chart where this indicator is running on 5 minute bars and you are trading on 30 minute bars. What is Garman-Klass-Yang-Zhang Historical Volatility? Yang and Zhang derived an extension to the Garman Klass historical volatility estimator that allows for opening jumps. It assumes Brownian motion with zero drift. This is currently the preferred version of open-high-low-close volatility estimator for zero drift and has an efficiency of 8 times the classic close-to-close estimator. Note that when the drift is nonzero, but instead relative large to the volatility , this estimator will tend to overestimate the volatility . The Garman-Klass-Yang-Zhang Historical Volatility calculation is as follows: GKYZHV = sqrt((Z/n) * sum((log(open(k)/close( k-1 )))^2 + (0.5*(log(high(k)/low(k)))^2) - (2*log(2) - 1)*(log(close(k)/open(2:end)))^2)) Included Alerts Signals Loxx's Expanded Source Types Bar coloring
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loxx tarafından
6
vol_coneDraws a volatility cone on the chart, using the contract's realized volatility (rv). The inputs are: - window: the number of past periods to use for computing the realized volatility. VIX uses 30 calendar days, which is 21 trading days, so 21 is the default. - stdevs: the number of standard deviations that the cone will cover. - periods to project: the length of the volatility cone. - periods per year: the number of periods in a year. for a daily chart, this is 252. for a thirty minute chart on a contract that trades 23 hours a day, this is 23 * 2 * 252 = 11592. for an accurate cone, this input must be set correctly, according to the chart's time frame. - history: show the lagged projections. in other words, if the cone is set to project 21 periods in the future, the lines drawn show the top and bottom edges of the cone from 23 periods ago. - rate: the current interest or discount rate. this is used to compute the forward price of the underlying contract. using an accurate forward price allows you to compare the realized volatility projection to the implied volatility projections derived from options prices. Example settings for a 30 minute chart of a contract that trades 23 hours per day, with 1 standard deviation, a 21 day rv calculation, and half a day projected: - stdevs: 1 - periods to project: 23 - window: 23 * 2 * 21 = 966 - periods per year: 23 * 2 * 252 = 11592 Additionally, a table is drawn in the upper right hand corner, with several values: - rv: the contract's current realized volatility. - rnk: the rv's percentile rank, compared to the rv values on past bars. - acc: the proportion of times price settled inside, versus outside, the volatility cone, "periods to project" into the future. this should be around 65-70% for most contracts when the cone is set to 1 standard deviation. - up: the upper bound of the cone for the projection period. - dn: the lower bound of the cone for the projection period. Limitations: - pinescript only seems to be able to draw a limited distance into the future. If you choose too many "periods to project", the cone will start drawing vertically at some limit. - the cone is not totally smooth owing to the facts a) it is comprised of a limited number of lines and b) each bar does not represent the same amount of time in pinescript, as some cross weekends, session gaps, etc.
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taylor_o tarafından
Real-time price distribution in candlesThis indicator splits the candle time into 30 units to indicate where the price was at each time. In the case of a 1-hour time zone, 60 minutes / 30 = 2 minutes, so this display the location of the price every 2 minutes. In case of 1 minute time zone, it is displayed every 2 seconds. CAUTION If a transaction does not occur, the display may be omitted. You can change the color of the opening and closing prices and the size of the dots.
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Dicargo_Beam tarafından
3
VIX - SKEW DivergenceThe CBOE VIX is a well-known index representing market expectations for volatility over the next 30 days. The CBOE SKEW is an index reflecting the perceived tail risk over the next 30 days. When the SKEW rises over a certain level (~140/150), that means investors are hedging their exposure with options, because they are worried about an incoming market crash or a "black swan". If that happens when the VIX is very low and apparently there is no uncertainty, this can warn of a sudden change in direction of the market. You will see for yourself that an increasing divergence often anticipates a sharp fall of leading stock indexes, usually within two to four months. This is probably not very relevant for the short-term trader but mid/long-term traders and market analysts may find it useful to clearly visualize the extent of the distance between the VIX and the SKEW. For that reason, I wrote this highly customizable script with which you can plot the two indexes and fill the space within them with a color gradient to highlight the maximum and minimum divergence. Additionally, you can fill the beneath VIX area with four different colors. It is also possible to plot the divergence value itself, so if you want you can draw trendlines and support/resistance levels on it. Please note that the divergence per se doesn't predict anything and it's meant to be used synergistically with other technical analysis tools. More informations here: www.cboe.com www.cboe.com
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valpatrad tarafından
Inside Bar SetupScript Details - This script plots Inside Bar for given day in selected time-frame (applicable only for Timeframes < Day) - Basis plotted inside bar, relevant targets are marked on the chart - Targets can be customised from script settings. Example, if range of mother candle is 10 points, then T1 is 10 * x above/below mother candle and T2 is 10 * y above/below mother candle. This x & y are configured via script settings How to use this script ? - This script works well on 10-15 mins timeframe for stocks, 15/30 mins timeframe for nifty index and 30/60 mins time frame for bank nifty index - If mother candle high is broken, take long trade with SL of mother candle low and if low is broken, take short trade with SL of mother candle high Remember: 1. Above logic is to be combined with support/resistances i.e. price action. This script is an add-on to price action analysis giving you more conviction. 2. If range of mother candle is very high, it is recommended to avoid the trade. 3. Basis inside bar formed on higher time frame, take trade on basis of lower time frame i.e if inside bar is formed on 60 mins, take trade on the basis of 10-15 mins time frame Example: 1. As seen in the chart, Nifty is near it's resistance and we are seeing Inside Bar being formed, In such scenario, even if High of Mother Candle is broken, we should be more interested to short as we are near resistance and probability of getting our targets in long side is less. 2. So, if I see breakdown of mother candle i.e. price going below low of mother candle, we will short with SL of high of mother candle. 3. As seen in the chart, both the targets are achieved. Additional Info: 1. Targets on Long/Short Side can be configured via settings. For indices 1 times/1.5 times the range works well. 2. This script plots targets basis the first inside bar formed in the day for selected time frame. 3. Inside bars formed through out the day are coloured separately but lines are plotted only on the basis of 1st formed inside bar as this strategy works well for the first formed inside bar) 4. Don't forget to check volume in case of breakout/breakdown. Note: 1. Mother Candle - First Candle of Inside Bar 2. Child Candle - Candle formed inside Mother Candle (Second Candle of Inside Bar) Happy Trading :)
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dixitsoham7 tarafından
42
CDC ActionZone BF for ETHUSD-1D © PRoSkYNeT-EE Based on improvements from "Kitti-Playbook Action Zone V.4.2.0.3 for Stock Market" Based on improvements from "CDC Action Zone V3 2020 by piriya33" Based on Triple MACD crossover between 9/15, 21/28, 15/28 for filter error signal (noise) from CDC ActionZone V3 MACDs generated from the execution of millions of times in the "Brute Force Algorithm" to backtest data from the past 5 years. ( 2017-08-21 to 2022-08-01 ) Released 2022-08-01 ***** The indicator is used in the ETHUSD 1 Day period ONLY ***** Recommended Stop Loss : -4 % (execute stop Loss after candlestick has been closed) Backtest Result ( Start $100 ) Winrate 63 % (Win:12, Loss:7, Total:19) Live Days 1,806 days B : Buy S : Sell SL : Stop Loss 2022-07-19 07 - 1,542 : B 6.971 ETH 2022-04-13 07 - 3,118 : S 8.98 % $10,750 12,7,19 63 % 2022-03-20 07 - 2,861 : B 3.448 ETH 2021-12-03 07 - 4,216 : SL -8.94 % $9,864 11,7,18 61 % 2021-11-30 07 - 4,630 : B 2.340 ETH 2021-11-18 07 - 3,997 : S 13.71 % $10,832 11,6,17 65 % 2021-10-05 07 - 3,515 : B 2.710 ETH 2021-09-20 07 - 2,977 : S 29.38 % $9,526 10,6,16 63 % 2021-07-28 07 - 2,301 : B 3.200 ETH 2021-05-20 07 - 2,769 : S 50.49 % $7,363 9,6,15 60 % 2021-03-30 07 - 1,840 : B 2.659 ETH 2021-03-22 07 - 1,681 : SL -8.29 % $4,893 8,6,14 57 % 2021-03-08 07 - 1,833 : B 2.911 ETH 2021-02-26 07 - 1,445 : S 279.27 % $5,335 8,5,13 62 % 2020-10-13 07 - 381 : B 3.692 ETH 2020-09-05 07 - 335 : S 38.43 % $1,407 7,5,12 58 % 2020-07-06 07 - 242 : B 4.199 ETH 2020-06-27 07 - 221 : S 28.49 % $1,016 6,5,11 55 % 2020-04-16 07 - 172 : B 4.598 ETH 2020-02-29 07 - 217 : S 47.62 % $791 5,5,10 50 % 2020-01-12 07 - 147 : B 3.644 ETH 2019-11-18 07 - 178 : S -2.73 % $536 4,5,9 44 % 2019-11-01 07 - 183 : B 3.010 ETH 2019-09-23 07 - 201 : SL -4.29 % $551 4,4,8 50 % 2019-09-18 07 - 210 : B 2.740 ETH 2019-07-12 07 - 275 : S 63.69 % $575 4,3,7 57 % 2019-05-03 07 - 168 : B 2.093 ETH 2019-04-28 07 - 158 : S 29.51 % $352 3,3,6 50 % 2019-02-15 07 - 122 : B 2.225 ETH 2019-01-10 07 - 125 : SL -6.02 % $271 2,3,5 40 % 2018-12-29 07 - 133 : B 2.172 ETH 2018-05-22 07 - 641 : S 5.95 % $289 2,2,4 50 % 2018-04-21 07 - 605 : B 0.451 ETH 2018-02-02 07 - 922 : S 197.42 % $273 1,2,3 33 % 2017-11-11 07 - 310 : B 0.296 ETH 2017-10-09 07 - 297 : SL -4.50 % $92 0,2,2 0 % 2017-10-07 07 - 311 : B 0.309 ETH 2017-08-22 07 - 310 : SL -4.02 % $96 0,1,1 0 % 2017-08-21 07 - 323 : B 0.310 ETH
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ProskynetExtremeEdition tarafından
ICT Sessions (Kill Zones)Inspired by the work of ICT (Inner Circle Trader - @ICT_MHuddleston) What are ICT KillZones: All ICT students know that certain moments of the day are more indicated to search for good frameworks. These moments are indicated like "Kill Zones". The best kill zones to search for profittable tradings are during the London session and during the New York session. How This Indicator Can Help You: With this indicator you'll see plotted in the charts the London Kill Zone and the New York Kill Zone, you'll see exactly when they start and finish, so you'll be able to understand better the price action and recognize if there are ICT framework to trade. You'll also will see when the New York lunch hour happen (this moment is not favorable for searching frameworks) and you'll see also 2 very important moments of the day, the 8.30 New York Time and the 9.30 New York Time, infact in these 2 particular moments it is most likely that some very profittable framework will appear as there are alway important economic news released in these 2 hours. Also you'll see the New York Midnight Open, that always forms a very important level for the day trading, you could see the New York Midnight open as a real opening for markets. Why This Indicator: I looked for indicators working with these concepts and I could not find one that offered the kill zones sections in the way are showed in my indicator, also they just had the kill zones without showing the 8.30 and 9.30 hours and without the Ney York midnight opening, and these are very important time frames for who works with ICT concepts. About The Indicator: In this indicator you'll have displayed: The regular trading sessions displayed, that is: Asian Session, London Session, New York Session. The London Kill Zone The New York Kill Zone The New York Midnight Open The New York Lunch Hour The 8:30 News Release Hour The 9:30 News Release Hour All these level can be adjusted and changed as you prefer.
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bluebeardit tarafından
5
Chervolinos_Rob Hoffman_Inventory Retracement Bar_and_OverlayHere is something like a combo from the well known Rob Hoffman (Overlay) Indicator and the Inventory Retracement Bar without any ballast This really smart strategy with a low risk and a quick profit. I combine this two Indicators to save space. The first condition is that the orange line and the lime line must be parallel and there is no other line between them because this condition is moving under 45 angle. The second condition is that the target candles must be below the orange line in the case of the downtrend as we see. As we see it here in the case of an uptrend should be candles above the orange line and this is logical as we see here. Sometimes we noticed the appearance of the signal onto the candle but the conditions were not applicable because there is an orange line between the green line and the orange line and this means that the signal is fake. This candle is also good for entry and we can place a buy order above it but is it beginner, so you must respect the conditions in order to be able to master it very well. Enter with Confidence all conditions are present a red arrow above the candle and the candle is above the orange line and there are no lines between the lime and orange line. Yes this is our target the entry-point will be a little above the wicked the candle, that is you will not buy now but it's a price exceeds the weight limit even slightly, we will buy directly it is hoffman's method. Expected if the price in which resistance occurred which is the resistance represented by the candlewick will be broken the price for rise up and strongly and if it does not happen you will not lose anything anyway to stop loss and take profit. Try the ratio by 1,5. This part of this strategy is one of the best trading strategies with a low risk rate and can be used as an initial guide to know the market movement and to enter successful trades. Let's start correctly. This strategy can be used on any time frame from one minute to one day or even more, but I recommend using it on a 10-minute frame one hour or 30 minutes frame. Here I use the 30-Minute frame. This strategy is based on two things: Tramp Direction and the inventory retracement bar. Don't worry and don't think about it because all this will be automatic but let's understand some simple terms. There many arrows in green and red. Please read the discription above. Please read the following tipps: To avoid the trend Reversal, try to add one one of the Divergence indicators to your chart. To avoid entering in a pullback movement as much as possible. --> Combine it with other indicators <-- Best Regards Chervolino if there were any typographical errors, please forgive me Note: Buy/Sell signals using non-standard chart types (Heikin Ashi, Renko, Kagi, Point & Figure, and Range) are not allowed, as they produce unrealistic results
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chervolino tarafından
10yr, 20yr, 30yr Averages: Month/Month % Change; SeasonalityCalculates 10yr, 20yr and 30yr averages for month/month % change ~shows seasonal tendencies in assets (best in commodities). In above chart: August is a seasonally bullish month for Gold: All the averages agree. And January is the most seasonally bullish month. ~averages represent current month/previous month. i.e. Jan22 average % change represents whole of jan22 / whole of dec21 ~designed for daily timeframe only: I found calling monthly data too buggy to work with, and I thought weekly basis may be less precise (though it would certainly reduce calculation time!) ~choose input year, and see the previous 10yrs of monthly % change readings, and previous 10yrs Average, 20yr Average, 30yr Average for the respective month. Labels table is always anchored to input year. ~user inputs: colors | label sizes | decimal places | source expression for averages | year | show/hide various sections ~multi-yr averges always print, i.e if only 10yrs history => 10yr Av = 20yr Av = 30yr Av. 'History Available' label helps here. Based on my previously publised script: "Month/Month Percentage % Change, Historical; Seasonal Tendency" Publishing this as seperate indicator because: ~significantly slower to load (around 13 seconds) ~non-premium users may not have the historical bars available to use 20yr or 30yr averages =>> prefer the lite/speedier version ~~tips~~ ~after loading, touch the new right scale; then can drag the table as you like and seperate it from price chart ##Debugging/tweaking## Comment-in the block at the end: ~test/verifify specific array elements elements. ~see the script calculation/load time ~~other ideas ~~ ~could tweak the array.slice values in lines 313 - 355 to show the last 3 consecutive 10yr averages instead (i.e. change 0, 10 | 0,20 | 0, 30 to 0, 10 | 10, 20 | 20,30) ~add 40yr average by adding another block to each of the array functions, and tweaking the respective labels after line 313 (though this would likely add another 5 seconds to the load time) ~use alternative method for getting obtaining multi-year values from individual month elements. I used array.avg. You could try array.median, array.mode, array.variance, array.max, array.min (lines 313-355)
Pine Script® göstergesi
twingall tarafından
23
Intermediate Williams %R w/ Discontinued Signal Lines [Loxx]Intermediate Williams %R w/ Discontinued Signal Lines is a Williams %R indicator with advanced options: -Williams %R smoothing, 30+ smoothing algos found here: -Williams %R signal, 30+ smoothing algos found here: -DSL lines with smoothing or fixed overbought/oversold boundaries, smoothing algos are EMA and FEMA -33 Expanded Source Type inputs including Heiken-Ashi and Heiken-Ashi Better, found here: What is Williams %R? Williams %R, also known as the Williams Percent Range, is a type of momentum indicator that moves between 0 and -100 and measures overbought and oversold levels. The Williams %R may be used to find entry and exit points in the market. The indicator is very similar to the Stochastic oscillator and is used in the same way. It was developed by Larry Williams and it compares a stock’s closing price to the high-low range over a specific period, typically 14 days or periods. Included: -Toggle on/off bar coloring -Toggle on/off signal line
Pine Script® göstergesi
loxx tarafından
4
DSS of Advanced Kaufman AMA [Loxx]DSS of Advanced Kaufman AMA is a double smoothed stochastic oscillator using a Kaufman adaptive moving average with the option of using the Jurik Fractal Dimension Adaptive calculation. This helps smooth the stochastic oscillator thereby making it easier to identify reversals and trends. What is the double smoothed stochastic? The Double Smoothed Stochastic indicator was created by William Blau. It applies Exponential Moving Averages (EMAs) of two different periods to a standard Stochastic %K. The components that construct the Stochastic Oscillator are first smoothed with the two EMAs. Then, the smoothed components are plugged into the standard Stochastic formula to calculate the indicator. What is KAMA? Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility . KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements. What is the efficiency ratio? In statistical terms, the Efficiency Ratio tells us the fractal efficiency of price changes. ER fluctuates between 1 and 0, but these extremes are the exception, not the norm. ER would be 1 if prices moved up 10 consecutive periods or down 10 consecutive periods. ER would be zero if price is unchanged over the 10 periods. What is Jurik Fractal Dimension? There is a weak and a strong way to measure the random quality of a time series. The weak way is to use the random walk index ( RWI ). You can download it from the Omega web site. It makes the assumption that the market is moving randomly with an average distance D per move and proposes an amount the market should have changed over N bars of time. If the market has traveled less, then the action is considered random, otherwise it's considered trending. The problem with this method is that taking the average distance is valid for a Normal (Gaussian) distribution of price activity. However, price action is rarely Normal, with large price jumps occuring much more frequently than a Normal distribution would expect. Consequently, big jumps throw the RWI way off, producing invalid results. The strong way is to not make any assumption regarding the distribution of price changes and, instead, measure the fractal dimension of the time series. Fractal Dimension requires a lot of data to be accurate. If you are trading 30 minute bars, use a multi-chart where this indicator is running on 5 minute bars and you are trading on 30 minute bars. Included -Toggle bar colors on/offf
Pine Script® göstergesi
loxx tarafından
1
Bollinger CloudsThis indicator plots Bollinger Bands for your current timeframe (e.g 5 minutes) and also plots the Bollinger Bands for a higher timeframe (15 minutes for 5 minute timeframe). Then the gaps between the current and higher timeframe upper and lower bands is filled to create clouds which can be used as entry zones. Like Bollinger Bands, this indicator shouldn't be solely used for entries, use it in conjunction with other indicators. Bollinger Band Timeframes Current / Higher 1 minute / 5 minutes 3 minutes / 10 minutes 5 minutes / 15 minutes 10 minutes / 30 minutes 15 minutes / 1 hour 30 minutes / 2 hours 45 minutes / 1.5 hours 1 hour / 4 hours 2 hours / 8 hours 2.5 hours / 10 hours 4 hours / 1 Day 1 Day / 3 Days 3 Days / 9 Days 5 Days / 2 Weeks 1 Week / 1 Month
Pine Script® göstergesi
LittleSympathy tarafından
Parabolic SAR of KAMA [Loxx]Parabolic SAR of KAMA attempts to reduce noise and volatility from regular Parabolic SAR in order to derive more accurate trends. In addition, and to further reduce noise and enhance trend identification, PSAR of KAMA includes two calculations of efficiency ratio: 1) price change adjusted for the daily volatility; or, 2) Jurik Fractal Dimension Adaptive (explained below) What is PSAR? The parabolic SAR indicator, developed by J. Wells Wilder, is used by traders to determine trend direction and potential reversals in price. The indicator uses a trailing stop and reverse method called "SAR," or stop and reverse, to identify suitable exit and entry points. Traders also refer to the indicator as to the parabolic stop and reverse, parabolic SAR, or PSAR. What is KAMA? Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-following indicator can be used to identify the overall trend, time turning points and filter price movements. What is the efficiency ratio? In statistical terms, the Efficiency Ratio tells us the fractal efficiency of price changes. ER fluctuates between 1 and 0, but these extremes are the exception, not the norm. ER would be 1 if prices moved up 10 consecutive periods or down 10 consecutive periods. ER would be zero if price is unchanged over the 10 periods. What is Jurik Fractal Dimension? There is a weak and a strong way to measure the random quality of a time series. The weak way is to use the random walk index (RWI). You can download it from the Omega web site. It makes the assumption that the market is moving randomly with an average distance D per move and proposes an amount the market should have changed over N bars of time. If the market has traveled less, then the action is considered random, otherwise it's considered trending. The problem with this method is that taking the average distance is valid for a Normal (Gaussian) distribution of price activity. However, price action is rarely Normal, with large price jumps occuring much more frequently than a Normal distribution would expect. Consequently, big jumps throw the RWI way off, producing invalid results. The strong way is to not make any assumption regarding the distribution of price changes and, instead, measure the fractal dimension of the time series. Fractal Dimension requires a lot of data to be accurate. If you are trading 30 minute bars, use a multi-chart where this indicator is running on 5 minute bars and you are trading on 30 minute bars. Conclusion from the combined efforts explained above: -PSAR is a tool that identifies trends -To reduce noise and identify trends during periods of low volatility, we calculate a PSAR on KAMA -To enhance noise and reduction and trend identification, we attempt to derive an efficiency ratio that is less reliant on a Normal (Gaussian) distribution of price Included: -Customization of all variables -Select from two different ER calculation styles -Multiple timeframe enabled
Pine Script® göstergesi
loxx tarafından
2
sm trend analyzer█ OVERVIEW This script is intended to provide full time frame continuity information for almost all time frames (3, 5, 15, 30, 60, 4H, Day, Week, Month, Quarter, Year) When added, the script provides a visual indicator/table to the bottom right of the screen to view the different performance at each time frame. ---------- Output Time Frames: 3min, 5min, 15min, 30min, 60min, 4 Hour, Day, Week, Month Quarter, Year Time Frame Labels: 3, 5, 15, 30, H, 4H, D, W, M, Q, Y Colors: Will display the colors in RED if it's a down time frame (close/current < prior close) or a GREEN if it's a up time frame (close/current > prior close), the color will be more opaque/the opacity will increase the stronger it's levels are for the time frame. Percentage: The percentages will also display, to give you a quick visual indicator or how strong a time frame is one way or the other. Best Practices ---------- Had to decouple this from the other scripts because TV limits how much you can plot/show May be a little slow at times, analyzing a lot of time periods/data be patient. Used to indicate who is in control, buyers or sellers. Jul 28, 2021 Release Notes: Fix study name, add some padding (high percentages are hard to get one the whole table) Jul 28, 2021 Release Notes: Add more space... fix logic. It's open and close not close and prior close for FTC. Jul 28, 2021 Release Notes: Set the width to ensure the whole percentage is shown. Also stack the cells (2 rows of 6) so it's more compressed and easier to read. Added in the 2H indicator as well. Aug 2, 2021 Release Notes: Changes: added the ability to disable/hide each box and the ability to change the time frame of each box. The boxes are sequentially numbered, 1 - 12, left to right, top to bottom. So the first box, or 1, would be the top left, 2 would be the next box, all the way to 12 at the bottom right.
Pine Script® göstergesi
Surahmanyam tarafından
1
Futures Exchange Sessions 2.0Description Successor to Futures Exchange Sessions indicator. Completely rebuilt code from the ground up. Every feature has been redesigned and refactored to be the most beneficial while allowing for complete configuration by the user. This indicator displays Futures Sessions as live boxes that expand dynamically as price moves over the time interval. These boxes make liquidity levels extremely easy to spot and visualize. It helps the user identify market structure and develop their own bias of price action. Everything about the Session boxes can be configured. Box color, border color, border style, and border width are all individually controllable. Each Future Session can be turned on or off at any time. Also, each box has their own text label (Asian Session, London Session, New York Session) and this text can be moved around the box, change color, and change size. Previous days highs and lows (major liquidity levels) are always important to the futures trader. This indicator now allows the user to individually display the three previous days highs and low levels as lines with optional label. Each line can be independently toggled on or off and like always, every conceivable customization option is available to the user. And the labels can be moved to the right (via the Input Settings) to allow unobstructed views of candles. The midnight EST open and 8:30 AM EST open horizontal lines (developed by the Inner Circle Trader) are returning in this indicator. But the biggest improvement is that the lines stop at the current bar or the last bar of the trading day. Additionally, the time lines are displayed on previous days so the user can easily see how the candles reacted to these important times of the day. The Session boxes and the horizontal time lines now can be set to only display a certain number of day back. If the user wants just to see Session boxes for the previous day only, they can do that. If the user wants to see the last 15 days of boxes or lines it is very easy to increase the days back in the settings. Currently, the max days back is 80 calendar days. Additional Images Easily visualize and understand price action across time Everything is customizable so the user can easily match this indicator to their color preferences Special Notes To turn off box session text set opacity to 0% Boxes and horizontal time lines only display when timeframe is <= 30 minute
Pine Script® göstergesi
Infinity_Trading_ tarafından
9