Directional Volume EStimate from Price Action (RedK D_VESPA)The "Directional Volume EStimate from Price Action (RedK D_VESPA)" is another weapon for the VPA (Volume Price Analysis) enthusiasts and traders who like to include volume-based insights & signals to their trading. The basic concept is to estimate the sell and buy split of the traded volume by extrapolating the price action represented by the shape of the associated price bar. We then create and plot an average of these "estimated buy & sell volumes" - the estimated average Net Volume is the balance between these 2 averages.
D_VESPA uses clear visualizations to represent the outcomes in a less distracting and more actionable way.
How does D_VESPA work?
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The key assumption is that when price moves up, this is caused by "buy" volume (or increasing demand), and when the price moves down, this is due to "selling" volume (or increasing supply). Important to note that we are making our Buy/sell volume estimates here based on the shape of the price bar, and not looking into lower time frame volume data - This is a different approach and is still aligned to the key concepts of VPA.
Originally this work started as an improvement to my Supply/Demand Volume Viewer (V.Viewer) , I ended up re-writing the whole thing after some more research and work on VPA, to improve the estimation, visualization and usability / tradability.
Think of D_VESPA as the "Pro" version of V.Viewer -- and please go back and review the details of V.Viewer as the root concepts are the same so I won't repeat them here (as it comes to exploring Balance Zone and finding Price Convergence/Divergence)
Main Features of D_VESPA
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- Update Supply/Demand calculation to include 2-bar gaps (improved algo)
- Add multiple options for the moving average (MA type) for the calculation - my preference is to use WMA
- Add option to show Net Volume as 3-color bars
- Visual simplification and improvements to be less distracting & more actionable
- added options to display/hide main visuals while maintaining the status line consistency (Avg Supply, Avg Demand, Avg Net)
- add alerts for NetVol moving into Buy (crosses 0 up) or Sell (crosses 0 down) modes - or swing from one mode to the other
(there are actually 2 sets of alerts, one set for the main NetVol plot, and the other for the secondary TF NetVol - give user more options on how to utilize D_VESPA)
Quick techie piece, how does the estimated buy/sell volume algo work ?
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* per our assumption, buy volume is associated with price up-moves, sell volume is associated with price down-moves
* so each of the bulls and bears will get the equivalent of the top & bottom wicks,
* for up bars, bulls get the value of the "body", else the bears get the "body"
* open gaps are allocated to bulls or bears depending on the gap direction
The below sketch explains how D_VESPA estimates the Buy/Sell Volume split based on the bar shape (including gap) - the example shows a bullish bar with an opening gap up - but the concept is the same for a down-bar or a down-gap.
I kept both the "Volume Weighted" and "2-bar Gap Impact" as options in the indicator settings - these 2 options should be always kept selected. They are there for those who would like to experiment with the difference these changes have on the buy/sell estimation. The indicator will handle cases where there is no volume data for the selected symbol, and in that case, it will simply reflect Average Estimated Bull/Bear ratio of the price bar
The Secondary TF Est Average Net Volume:
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I added the ability to plot the Estimate Average Net Volume for a secondary timeframe - options 1W, 1D, 1H, or Same as Chart.
- this feature provides traders the confidence to trade the lower timeframes in the same direction as the prevailing "market mode"
- this also adds more MTF support beyond the existing TradingView's built-in MTF support capability - experiment with various settings between exposing the indicator's secondary TF plot, and changing the TF option in the indicator settings.
Note on the secondary TF NetVol plot:
- the secondary TF needs to be set to same as or higher TF than the chart's TF - if not, a warning sign would show and the plot will not be enabled. for example, a day trader may set the secondary TF to 1Hr or 1Day, while looking at 5min or 15min chart. A swing/trend trader who frequently uses the daily chart may set the secondary TF to weekly, and so on..
- the secondary TF NetVol plot is hidden by default and needs to be exposed thru the indicator settings.
the below chart shows D_VESPA on a the same (daily) chart, but with secondary TF plot for the weekly TF enabled
Final Thoughts
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* RedK D_VESPA is a volume indicator, that estimates buy/sell and net volume averages based on the price action reflected by the shape of the price bars - this can provide more insight on volume compared to the classic volume/VolAverage indicator and assist traders in exploring the market mode (buyers/sellers - bullish/bearish) and align trades to it.
* Because D_VESPA is a volume indicator, it can't be used alone to generate a trading signal - and needs to be combined with other indicators that analysis price value (range), momentum and trend. I recommend to at least combine D_VESPA with a variant of MACD and RSI to get a full view of the price action relative to the prevailing market and the broader trend.
* I found it very useful to take note and "read" how the Est Buy vs Est Sell lines move .. they sort of "tell a story" - experiment with this on your various chart and note the levels of estimate avg demand vs estimate avg supply that this indicator exposes for some very valuable insight about how the chart action is progressing. Please feel free to share feedback below.
Cerca negli script per "weekly"
Damage Indicator by Scipio ProScipio Pro's Damage Indicator detects strong momentum on tops and bottoms. It is intended for swing trading.
The script analyzes both recent and less-recent price action and performs candle stick analysis. It also uses SDs and multiple Bollinger Bands to find dynamic levels for entries.
A Bears Damaged signal emerges whenever there is convincing proof of strength at a bottom. Often, when the market reverses quickly, traders are caught offside and are forced to buy higher. The reverse goes for Bulls Damaged signals, which mean there is convincing proof of bearish strength at a (local?) top.
Whether the move gets legs depends in large part on the structure in which the show of momentum takes place. It is sensible to wonder after each signal whether the market structure (and other relevant context such as the majority of cash having been sidelined) dictates that risk-reward is skewed to the upside or to the downside. If, for example, a Bears Damaged signal emerges on the daily and risk-reward on the weekly is skewed to the upside, go 4x larger (again, just an example). If, on the other hand, the same signal emerges on the daily while the risk-reward is skewed to the downside on the weekly, bet much smaller and tighten your stop-loss. For best results, I suggest you always check one timeframe higher for your long-term risk-reward bias. (No financial advice, of course.)
Under Settings you'll find the so-called Noise Protection , which is switched "on" by default. We recommend you keep this switched on. Noise Protection ensures you do not see Damage signals on timeframes lower than the 4 hour. After all, chasing momentum on low timeframes is a losing game. The amount of noise increases exponentially as you move lower down the timeframes. Again, this indicator is for swing trades. Don't use it for scalping.
It should be useful for all assets, but is of course more useful on some than on others. As with all indicators, signals tend to be more meaningful if the asset in question is at least somewhat liquid, for instance.
As always, use at your own risk. Using indicators is no substitute for using one's brain.
Auction Theory Price LevelsKnowing the levels where price might find support or resistance is critical in trading. These are the levels where buyer or sellers previously showed up.
A bull trend is recognized by higher highs and higher lows on a daily or weekly chart whereas a bear trend is recognized by lower highs and lower lows. Knowing where these daily and weekly levels are will help to expect when and where a bounce or rejection might occur. Alternatively a break of these levels might hint at a change in trend. As they say, never get bullish at the top or bearish at the bottom until the level is broken and held.
This indicator adds these critical levels to the chart and let you hide the ones that are not important to your style of trading (all times are in US Eastern)
- pre-market (4am to 9:30am): low, high, mid
- previous day; low, high, close
- previous week: low, high
- current week: high, low
- initial balance (9:30am to 10:30am): low, high
- current session: open, low, high, mid
If you like the indicator, please like and share!
Thank you!
[Trendycator] Trendycator Trend Following IndicatorThis script proposes a simple and intuitive trend following indicator, better usage on those assets which are sufficiently liquid and don't go through random spikes.
Since it is a trend-following system, it works well during trends only and his intent is to find a primary trend and ride it for as long as possible.
We know that the biggest problem is how to understand if asset is in trend or not: for this purpose, the intuitive colors explained hereafter help Traders to understand when asset is in non trend.
It will never enter on the minimum and will never exit on the maximum but will always try to identify the central part of the trend, maintaining the position until the forces supporting the rise of the stock fail.
Usage details
Color interpretation
Green color mean that asset is in a UP Trend.
Red color mean that asset is in a Down Trend.
Gray color mean that indicator is not able to find any clear trend.
Trendycator use stochastic oscillator, which establish the trend and his strength.
As additional filter as noise removal the stochastic oscillator is smoothened using simple moving average.
Trendycator use as well price swing recognition which identify significant high and significant low breakouts.
When stochastic find trend with strength and significant breakout change color: green for up trend and red for down trend.
This mix of trend-following indicator and breakout system is made to avoid, as much as possible, false signal generated from side movement.
Settings
Trendycator usually doesn’t need to set anything.
This because we believe that the user have to searching for the charts where it works well and never "overfitting" the system on a chart.
Overfitting never work as a long time and in the first step for loosing money.
In Tradingview we decide to let the possibilities to set two parameters: "Period_UP" and "Period_DN".
The reason is because this can be adjusted slightly for testing in intraday, but we recommend to manipulate as less as possible.
Period UP/DN meaning: Period_UP are the number of bars considered for swing high detection and Period_DN is the number of bar that Trendycator use for swing low detection.
Important usage note
Trendycator was born and tested in weekly timeframe and works in daily as well. Intraday charts, normally have high volatility that is the opposite of trend; weekly, or daily bars reduce the noise.
Trendycator is tested, and used, in Etf and stocks.
Trendycator is tested, and used, for long operation only.
Trendycator is not tested in different timeframe from what explained above, or chart type different from bars (eg. Renko or Heikin Ashi).
Trendycator is not tested in instrument different from what listed above: like future or Forex.
Trendycator is not tested for short operation. Normally short have very strong movement in less time that is different from trend following concept.
Entry/Exit recommended filters
Investor and traders are free to use and interpretate Trendycator as they feel more confortable but, we recommend to apply some filters on entry and exit.
As you can see in example, we use a trigger for enter in position (not plotted by this indicator).
The high of first green bar is the trigger level for entry: the long position will be in Buy Stop above this level.
The low of first red bar is the trigger level for exit: the long position will be exit in Stop after this level.
Use this trigger criteria is useful to avoid, once more, the false signal.
Conclusion
Trendycator do not provide any guarantees regarding your ability to obtain results or earn money with our ideas, information, tools or strategies.
Nothing on our content makes any promise or guarantee of future results or earnings.
You alone are responsible for your decisions, actions and results in life, and using our code you agree that you will not attempt to hold us responsible for your decisions, actions or results, at any time, under any circumstances.
BankNifty targets using VIX Version 2Original Idea Credit: Verified Market Waves
Hi,
After watching different videos online on how to get targets of BankNifty & Nifty decided to write this small script using VIX.
Nothing great but I really like the concept of getting high and low targets for the day or weekly or monthly or yearly.
What does the script do
1. We get closing of India Vix & BankNifty and Nifty
2. We get square root of Daily (365 days) | Weekly (52) | Monthly (12) & Yearly (1)
3. We divide India Vix closing with different square root to get a decimal value.
4. We use the derived value from step 3 which is used as % to calculate high and low values on BankNifty close price.
Small explanation via below screen shot to understand how to use it.
As always it comes with source code so you can modify as per your requirement.
Hope it helps 👍
Liquidity prints / quantifytools- Overview
Liquidity prints detect points in price where buyers or sellers are being effectively absorbed, indicative of price being on a path of resistance. In other words, the prints detect points in price where hard way is likely in current motion and easy way in the opposite. Prints with ideal attributes such as prints into extended trends or into a deviation are marked separately as print confluence. Prints with important or multiple confluence factors give further color into potential strength and duration of print influence. Liquidity prints are detected using an universally applicable method based on price action (OHLC). The prints principally work on any chart, whether that is equities, currencies, cryptocurrencies or commodities, charts with volume data or no volume data. Essentially any asset that can be considered an ordinary speculative asset. The prints also work on any timeframe, from second charts to monthly charts. Liquidity prints are activated real-time after a confirmed bar close, meaning they are not repainted and can be interacted with once a confirmation is in place.
Liquidity prints are based on the premise that price acts a certain way when sufficient liquidity is found, in other words when price shows exhaustion of some sort. A simple example of such price action are wicks, attempted moves that were rejected within the same time period where move was initiated. This type of price action typically takes place when price is close to or at meaningful amount of bids in an order book. There's no guarantee the stacked orders can't be just cleared and moved through, but at face value it does not make sense to expect price moving the hard way. When sufficient amount of characteristics in price action are hinting proximate liquidity, a print is activated. As a barometer for print feedback quality, short term impact on price rate of change and likelihood of print lows/highs being revisited during backtesting period are tracked for each print. Peak increase/decrease during backtesting period is also recorded and added to average calculations. Liquidity prints can also be backtested using any script that has a source input, including mechanic strategies utilizing Tradingview's native backtester.
Key takeaways
Liquidity prints are activated when price is showing signs of grind against path of greater resistance, leaving path of least resistance to the opposite direction.
Liquidity prints with ideal attributes are marked separately as print confluence, giving further color into print strength and duration of influence.
Liquidity prints are backtested using price rate of change, print invalidation mark and peak magnitude metrics.
Liquidity prints can be backtested and utilized in any other Tradingview script, including mechanic strategies utilizing Tradingview's native backtester.
Liquidity prints are detected using price action based methodology. They principally work on any chart or timeframe, including charts with no volume data.
Liquidity prints are activated real-time after a confirmed bar close and are not repainted.
For practical guide with practical examples, see last section.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Disclaimer
Liquidity prints are not buy/sell signals, a standalone trading strategy or financial advice. They also do not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Liquidity prints notify when a set of conditions (various reversal patterns, overextended price etc.) are in place from a purely technical standpoint. Liquidity prints should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
Liquidity print quality is backtested using metrics that reasonably depict their expected behaviour, such as historical likelihood of price slowing down or turning shortly after a print. Print quality metrics are not intended to be elaborate and perfect, but to serve as a general barometer for print feedback. Backtesting is done first and foremost to exclude scenarios where prints clearly don't work or work suboptimally, in which case they can't be considered as valid evidence. Even when print metrics indicate historical reactions of good quality, price impact can and inevitably does deviate from the expected. Past results do not guarantee future performance.
- Example charts
Chart #1: BTCUSDT
Chart #2: DXY
Chart #3: NQ futures
Chart #4: Crude oil futures
Chart #5: Custom timeframes
- Print confluence
Attributes that make prints ideal in one way or another are marked separately as print confluence, giving clue into potential strength and duration of print influence. Prints with important or multiple confluence factors can be considered as heavier and more reliable evidence of price being on a path of resistance. Users can choose which confluence to show/hide (by default all) and set a minimum amount of confluence for confluence text to activate (by default 1).
Confluence type #1: Trend extensions
Price trending for abnormally long time doesn't happen too often and requires effort to sustain. Prints taking place at extended trends often have a longer duration influence, indicating a potential larger scale topping/bottoming process being close. Trend extension confluence is indicated using a numbered label, equal to amount of bars price has been in a trending state.
Confluence type #2: Consecutive prints
Prints that take place consecutively imply heavier resistance ahead, as required conditions trigger multiple times within a short period. Consecutive prints tend to lead to more clean, aggressive and heavier magnitude reactions relative to prints with no confluence. Consecutive print confluence is indicated using a numbered label with an x in front, equal to amount of prints that have taken place consecutively.
Confluence type #3: Deviations
When price closes above/below prior print highs/lows and closes right back in with a print, odds are some market participants are stuck in an awkward position. When market participants are stuck, potential for a snowball effect of covering underwater positions is higher, driving price further away. Prints into deviations act similarly to consecutive prints, elevating potential for more aggressive reactions relative to prints with no confluence. Deviation confluence is indicated using a label with a curve symbol.
- Backtesting
Built-in backtesting is based on metrics that are considered to reasonably quantify expected behaviour of prints. Main purpose of the metrics is to form a general barometer for monitoring whether or not prints can be viewed as valid evidence. When prints are clearly not working optimally, one should adjust expectations accordingly or take action to improve print performance. To make any valid conclusions of print performance, sample size should also be significant enough to eliminate randomness effectively. If sample size on any individual chart is insufficient, one should view feedback scores on multiple correlating and comparable charts to make up for the loss.
For more elaborate backtesting, prints can be used in any other script that has a source input, including fully mechanic strategies utilizing Tradingview's native backtester. Print plots are created separately for regular prints and prints with each type of confluence.
Print feedback
Print feedback is monitored for 3 bars following a print. Feedback is considered to be 100% successful when all 3/3 bars show a supportive reaction. When 2/3 bars are supportive, feedback rate is 66%, 1/3 bars = 33% and 0/3 = 0%. After print backtesting period is finished, performance of given print is added to average calculations.
Metric #1 : Rate of change
Rate of change used for backtesting is based on OHLC4 average (open + high + low + close / 4) with a length of 3. Rate of change trending up is considered valid feedback for bullish liquidity prints, trending down for bearish liquidity prints. Note that trending rate of change does not always correlate with trending price, but sometimes simply means current trend in price is slowing down.
Metric #2 : Invalidation mark
Print invalidation marks are set at print low/high with a little bit of "wiggle room". Wiggle room applied is always 1/10th of print bar range. E.g. for a bullish print with bar range of 2%, invalidation mark is set to 0.20% below print low. For most prints this is practically at print low/high, but in the case of prints with high volatility a more noticeable excess is given, due to the expectation of greater adverse reaction without necessarily meaning invalidation. A low being above invalidation mark is considered valid feedback for bullish prints and a high being below invalidation mark for bearish prints.
Metric #3 : Peak increase/decrease
Unlike prior two metrics, peak increase/decrease is not feedback the same way, but rather an assisting factor to be viewed with feedback scores. Peak increase/decrease is measured from print close to highest high/lowest low during backtesting period and added to average calculations
Feedback scores
When liquidity prints are working optimally, quality threshold for both feedback metrics are met. By default, threshold is set to 66%, indicating valid feedback on 2/3 of backtesting periods on average. When threshold is met, a tick will appear next to feedback scores, otherwise an exclamation mark indicating suboptimal performance on either or both.
By default, the prints are filtered as little as possible, idea behind being that it is better to have more poor prints filtered with discretion/mechanically afterwards than potentially filtering too much from the get go. Sometimes filtering is insufficient, leading to failed reactions beyond a tolerable level. When this is the case, print sensitivity can be adjusted via input menu, separately for bullish and bearish prints. Print filter sensitivity ranges from 1 to 5, by default set to 1. Lower sensitivity sets looser criteria for print activation, higher sensitivity sets stricter criteria. For most charts and timeframes default sensitivity works just fine, but when this is not the case, filters can be tweaked in search of better settings. If feedback score threshold is met, it's better to keep filter sensitivity intact and use discretion, which is much more nuanced and capable than any mechanical process. If feedback scores are still insufficient after tweaking, depending on the severity of lack, prints should be vetted extra carefully using other means of analysis or simply avoided.
Verifying backtest calculations
Backtest metrics can be toggled on via input menu, separately for bullish and bearish prints. When toggled on, both cumulative and average counters used in print backtesting will appear on "Data Window" tab. Calculation states are shown at a point in time where cursor is hovered. E.g. when hovering cursor on 4th of January 2021, backtest calculations as they were during this date will be shown. Backtest calculations are updated after backtest period of a print has finished (3 bars). Assisting backtest visuals are also plotted on chart to ease inspection.
- Alerts
Available alerts are the following.
- Bullish/bearish liquidity print
- Bullish/bearish liquidity print with specified print confluence
- Bullish/bearish liquidity print with set minimum print confluence amount exceeded
- Visuals
Visual impact of prints can be managed by adjusting width and length via input menu. Length of prints is available in 3 modes (1-3 from shortest to longest) and width in 10 modes (1-10 from narrowest to widest).
Print confluence text can be embedded inside print nodes, eliminating visuals outside the chart.
Metric table is available in two themes, Classic and Stealth.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and colors are fully customizable via input menu.
-Practical guide
Key in maximizing success with prints is knowing when they are likely reliable and when not. In general, the more volatile and ranging the market regime, the better liquidity prints will work. Any type of volatile spike in price, parabola or a clean range is where liquidity prints provide optimal feedback. On the other hand low volatility and trending environments are suboptimal and tend to provide more mute/lagged or completely failed feedback. Anomalies such as market wide crashes are also environments where prints can't be expected to work reliably.
Being aware of events on multiple timeframes is crucial for establishing bias for any individual timeframe. Not often it makes sense to go against higher timeframe moves on lower timeframes and this principle of timeframe hierarchy also applies to prints. In other words, higher timeframe prints dictate likelihood of successful prints on lower timeframes. If hard way on a weekly chart is up, same likely applies to daily chart during weekly print influence time. In such scenarios, it's best to not swim in upstream and avoid contradicting lower timeframe prints, at least until clear evidence suggesting otherwise has developed.
Points in price where it anyway makes sense to favor one side over the other are key points of confluence for prints as well. Prints into clean range highs/lows with clean taps can be valuable for optimal entry timing. This is especially true if simultaneously previous pivot gets taken out, increasing odds of liquidity indicated by a print being swept stop-losses.
Prints that don't match underlying bias (e.g. bullish prints at range high, bearish prints at range low) should be avoided until clear evidence has developed favoring them, such as a convincing break through a level followed by a re-test.
Prints that are immediately rejected aggressively are more likely prints that end up failing. Next bar following a print closing below print lows/above print highs is a strong hint of print failure. To consider print still valid in such cases, there should be quick and clear defending of print lows/highs. Failed prints are an inevitable bummer, but never useless. Failed prints are ideal for future reference, as liquidity still likely exists there. Re-tests into these levels often provide sensible entries.
Stacked confluence doesn't come too often and is worth paying special attention to, as multiple benefitting factors are in place simultaneously.
From a more zoomed out perspective, any larger zone with multiple prints taking place inside are potential topping/bottoming processes taking place, also worth paying attention to.
Strong Demands & Supplies + Liquidity | Zonas de Compra e VendaThis indicator is inspired on the Smart Money Concepts indicator (Credits to @LuxAlgo) and it was optimized to show only the most relevant demand and supply zones (premium) on every time frame - but on higher time frames (1H and above) the zones are more relevant and stronger, meaning these zones can handle the price for longer time.
I've added a new feature that includes the Liquidity lines in order to add more confluence and importance to a demand or supply zone: when a demand or supply zone has strong liquidity (like weekly or monthly) next to it means that zone can be a strongest price target.
- Blue Line: Daily liquidity
- Yellow Line: Weekly Liquidity
- Purple Line: Monthly Liquidity
Main Features:
- Displays the most relevant demand and supply zones (green and red boxes) and which ones are strong and weak
- Displays the relevant change of character and break of structure
- Displays the previous day highest price and previous day lowest price
- Display imbalances between sell and buy orders (purple boxes)
- Displays the liquidity areas with lines on each point.
- It works for Forex and Cryptocurrency as well.
Portuguese:
Este indicador é inspirado no Smart Money Concepts (Créditos para @LuxAlgo) e foi otimizado para mostrar apenas as zonas de procura e oferta mais relevantes em cada time frame - mas em time frames maiores as zonas são mais relevantes e mais fortes.
Adicionei uma nova funcionalidade que inclui as linhas de Liquidez de forma a adicionar mais confluência e importância a uma zona de procura ou oferta: quando uma zona de procura ou oferta tem forte liquidez (como semanal/linha amarela ou mensal/linha roxa) junto a ela significa que aquela zona pode ser um alvo de preço mais forte.
- Linha Azul: Liquidez diária
- Linha Amarela: Liquidez Semanal
- Linha Roxa: Liquidez Mensal
Principais características:
- Exibe as zonas de procura e oferta mais relevantes (zonas a verde e zonas a vermelho) e quais delas são fortes e fracas
- Exibe a mudança relevante de caráter e quebra de estrutura
- Exibe o preço mais alto do dia anterior e o preço mais baixo do dia anterior
- Exibe as imbalances entre as ordens de venda e compra (zonas a roxo)
- Exibe as zonas de maior liquidez através de linhas no gráfico
- Funciona tanto para Forex como para Criptomoedas
LT Elliott Wave 2.0LT Elliott Waves 2.0 Indicator:
According to Elliott Wave Theory, price moves in 5 waves in the direction of the major trend and moves in 3 waves (ABC) when it moves against the major trend. The key purpose and value of elliott wave theory (EWT) is to provide context for chart analysis. According to the book The Elliott Wave Principle by Frost & Prechter: “This context provides both a basis for disciplined thinking and a perspective on the market's general position and outlook.” The benefit of having context is that one can identify and anticipate changes in direction.
In Elliott Wave theory, waves 1, 3, 5 and C are impulse waves (a five wave pattern that makes progress) whereas waves 2, 4, A and B are corrective waves (a three wave pattern – or combination of three waves - that moves against the direction of the larger trend). Although wave A can also be formed of 5 waves, it is commonly formed of 3 waves. Here is a brief summary of the waves:
Wave 3 tends to be the strongest and most dynamic wave – it is usually (but not always) the longest wave but it is never the shortest. Wave 4 is a corrective wave that is typically composed of 3 smaller waves (ABC) and is notorious for being messy and unpredictable in nature. Wave 5 is the final wave before a significant correction or reversal in trend and is often accompanied by divergences (e.g. negative divergences in an uptrend) and exhaustions in momentum. It is also possible for a wave 5 to form after a “blow-off top” pattern. Wave 2 is composed of 3 smaller waves (ABC) and is a retracement of wave 1 – the retracement can be shallow to moderate (23.6% to 38.2%) or deep (50%, 61.8% to 78.6%). Wave 1 is the first wave of a trend and is composed of 5 smaller waves – it usually occurs after divergences (in the prior move) and extremes in both sentiment and momentum. For example, the wave 1 of an uptrend can often begin after capitulation in the price (after a major decline), extremely pessimistic sentiment, extremely oversold momentum readings, positive divergences and sometimes accompanied by a volume breadth thrust. Waves A and C are often equal in measure. Wave A can be formed of either 5 waves or 3 waves - but more commonly it is composed of 3 waves. Wave B is always corrective and composed of 3 smaller waves. Wave C is a five wave impulse pattern.
The Elliott Wave 2.0 (or EW2) chart indicator seeks to simplify elliott wave theory (EWT) in that its main purpose is to identify the potential major trends and corrections. The indicator takes a more simple and direct approach to EWT in that it focuses more on trying to identify whether price is trending or not, and if there is a trend, then the probable wave pattern. It does this by mainly using the structure of the price chart as well as other factors such as momentum, fibonacci retracements & extensions and the relationship of price to its key averages. The indicator then takes its best guess at whether price is in a trending environment, and if so, which wave it is probably forming. This means that the wave count can often depend on the chart timeframe chosen. For example, what may appear as a major downtrend on a lower timeframe chart may potentially be a corrective drop on a much higher timeframe, due to the different price structure of the charts. To keep things simple and to avoid complexity, the indicator does not display the minor sub-waves within the major waves.
The main feature and benefit of the Elliott Wave 2.0 (EW2) indicator is that it can remove most of the subjectivity in chart and wave analysis. It also allows for flexibility in that it allows the chartist to alter the wave count and the position of the wave counts if they choose to do so (within the parameters and rules set by the indicator). As with all of technical analysis, the wave counts shown by the elliott wave indicator are NOT certain or absolute – they are only a possibility or a probability. So the risk always exists of an alternative wave count. It is for the chartist to determine the probable wave counts and limit or control the risks based on their knowledge of technical analysis and risk management.
The settings of the Elliott Wave 2.0 indicator (EW2) are fairly self-explanatory but here is a brief summary:
In the Trend Analysis Switch, the indicator is set by default to a “moderate” trend setting in that it waits for moderately significant changes in momentum before a probable wave 5 is shown (i.e. the fifth wave within the elliott five wave pattern). So for example, in an uptrend, the indicator may show a probable “wave 3” (a blue-coloured wave 3) if the path of least resistance and the likely trend is still to the upside. Once a change in momentum and trend direction occurs, then the indicator may change the wave count to a “wave 5” (a green-coloured wave 5) provided the parameters for this wave count have been met. This default “moderate” setting can be changed by the user or chartist. So if the user wants to change the wave count from a probable “wave 5” to a potential “wave 3”, then it may be possible to do so by changing the trend analysis switch from “moderate” to “strict”. The indicator will likely then display a “wave 3” count until the price reverses some more and breaks below a key support level (assuming the prior trend was up), thus changing the wave count from a “wave 3” (in blue) to a probable “wave 5” (in green). (The opposite of this example applies in downtrends.)
If the chartist decides to delay the changing of the wave count, such as delaying the change of wave 3 to a wave 5, then the “strict” option can be enabled in the trend analysis switch. If the user prefers a slightly more aggressive (or quicker) change in the trend and wave count, then the “aggressive” option can be applied. This is provided the chartist decides it is reasonable or “logical” to make the change. The EW2 indicator will only make the change IF doing so is allowed within its set parameters and rules. The trend analysis switch settings (moderate, aggressive and strict) are largely based on the relative position of price to certain key averages and crossovers, such as both short-term & long-term moving averages which can act as support and resistance.
It is important to mention here is that if any changes are made to the settings of the EW2 indicator (such as moving or modifying the wave counts), it is essential to click on “Reset settings” when changing the chart to a different symbol or timeframe. So whenever a new chart symbol or timeframe is chosen, it is recommended to apply the “reset settings” function in the indicator defaults at the bottom left of the settings section. This will refresh the settings of the indicator back to defaults.
The Elliott Wave 2.0 indicator has greater flexibility options within the settings to change the positions of certain wave counts based on the structure of the chart. This can be achieved by manually moving the wave counts in the first top-section of the EW2 settings, where it says “Move Wave Forward/Back”. By clicking the up or down arrows (on the box provided) the position of the wave count can be moved, based on the zigzag patterns of the chart. So for example, if we wanted to move the position of the historical wave 5 (shown in green on the chart), then we would hover over the box next to “Move hist wave 5 forward/back” and click up or down on the arrows. Clicking the UP arrow would move the wave count position forward on the chart while clicking the DOWN arrow would move it backward. The same can be done with other waves such as the positions of waves 1, 2, 3 and 4 – provided this is permitted by the structure on the chart and the rules set by the indicator.
In the elliott wave indicator, the potential major wave counts are shown in blue and sometimes yellow. The blue wave counts have a slightly higher probability than the yellow as the yellow will need further confirmation by the price structure and momentum.
The starting point for the wave counts is shown as a green “wave 5” – this is referred to as the “historical wave 5” as it is the likely fifth wave of the prior wave (e.g. a prior impulse or corrective wave). The historical wave 5 is the starting point where the indicator starts “counting” the waves. The indicator makes its best guess as to where to start counting from the historical wave 5, but the user has the option to change its position, if required as per the parameters set by the indicator. As a general rule, in an uptrend, the green historical wave 5 should ideally be positioned at the lowest point on the chart (such as the lowest point in the past 300 bars). The opposite applies in downtrends where the historical wave 5 should ideally be at the highest point on the chart (e.g. in the past 300 bars). It should be noted that when the position of the green historical wave 5 is changed, this usually affects the entire wave count. The position of the historical wave 5 (green) can be changed in the settings of the elliott wave indicator (as discussed above). Additionally, if needed, we can also change the label of the green historical wave 5 within the settings to a pink “C-wave” (i.e. the “C-wave” of the prior corrective wave).
As mentioned, the EW2 indicator does its best to make the optimal “guess” as to the probable position of the wave counts, using the structure and momentum on the chart. However, just like any other chart indicator, it is not perfect and it can get the position wrong at times. This is to be expected as we are dealing with an uncertain, chaotic and probabilistic environment when doing chart analysis. Therefore, where it is deemed suitable, the position of the waves - such as waves 1, 2, 3, 4 and the historical wave 5 (or “C-wave”) – can be changed in the settings. The “wider jumps” option can be enabled in the settings for bigger skips in the position of the waves when toggling the positions using the up and down arrows.
The position of most waves can also be altered by modifying the major structure (in the zigzag) using the option in the settings called “Modify major structure”. Please note that using this can sometimes change the wave count as well. This specific setting provides a drop-down menu (labelled A to F) that allows several structures to be chosen in the zigzag (within certain limits). However, in the majority of cases, only the first four options (A, B, C and D) will be required to change the structure of the zigzag. Options C and D provide the greatest variability in the zigzag structure.
One useful method to remember is that often the most effective way to modify the wave count is to adjust the positions of waves 1 and 3 (assuming the starting position of the historical green wave 5 has been decided). As long as we can place wave 1 (and by default wave 2) to a reasonable or “logical” level, the remaining wave counts and projections can usually take care of themselves. Adjusting the position of wave 3 to a logical position can also be useful in this respect. A good way to correctly determine the “wave 1” and “wave 3” of an impulse is to look at its internal structure. If both are composed of five sub-waves (i.e. if each have an internal structure of five smaller waves) then the probability is higher that we have identified the waves 1 and 3 correctly, as both waves are impulsive. The same rule can apply for wave 5. Another rule to remember is that wave 3 can never be the shortest impulse wave but it is often the longest.
One of the new and major features of the Elliott Wave 2.0 indicator are the wave 3, wave 4 and wave 5 projections. The indicator uses a number of fibonacci extensions and ratios of certain waves (e.g. waves 1 and 2) to calculate the probable wave 3 projections as well as the potential wave 5 projections. The wave 3 projections are labelled as “3” and are shown as blue horizontal lines. Wave 5 projections are labelled as “5” and are shown as cyan, green, brown or purple lines. EW2 also makes use of mainly fibonacci retracements (such as the golden ratio) for calculating the probable wave 4 projections. Wave 4 projections are shown as “4” in orange, dark blue and red. Wave 4 has a number of alternate settings which make use of RSI momentum and fibonacci levels. The alternate settings for wave 4 can be used if the user believes that wave 3 has completed and that a wave 4 correction is likely in progress or coming to an end. The setting “Wave 5 in progress” can also be used for this purpose, if the chartist believes that the wave 4 has likely completed (or coming to an end) and that a potential “wave 5” is taking shape.
The “Logarithmic fibs” setting is an option for certain charts and timeframes that require a logarithmic chart to be used. For example, higher timeframe charts (such as weekly or monthly) and very volatile price charts may benefit from a logarithmic setting and therefore logarithmic fibonacci levels. Generally, if the chartist is using a log chart for a specific symbol (or timeframe), it would be preferable to apply logarithmic fibonacci levels as well. So this function can be selected in the EW2 settings accordingly.
While most wave projections (such as waves 3, 4 and 5) will show automatically on the chart, the user can decide to remove certain projections (e.g. waves 4 and 5) to reduce the amount of text or lines on a chart. This can be done by selecting the specific “Hide wave projections” function in the settings for the waves 4 and 5. Extra projections for waves 3, 4 or 5 can be shown by selecting the option for “More projections” for each specific wave.
Another useful feature is the “Wave 3 probability decrease level” function. This draws a horizontal magenta line at a specific fibonacci extension which can act as a key level of support (or resistance) for a probable wave 3. This could be helpful when a new trend is starting and we have the beginning of what appears to be a wave 3. For example, in a new uptrend, the probable wave 3 would have to stay above this key level (shown as a magenta line) if the probability of a wave 3 is going to remain high or intact. In other words, if price were to drop below this key level (in an uptrend) then the odds of a wave 3 would be lowered significantly and downside risk could increase. The opposite applies in downtrends.
The lookback period can be decreased to make the EW2 indicator focus on the much more recent data, such as the previous 100 bars. This can be done by selecting “Use short term” in the settings. This function can be used in situations where the trend may have changed very suddenly and the user wants to focus on the more immediate chart structure.
The setting also provides an “Aggressive wave 3” option for situations that may require the wave 3 to be shown sooner, such as at the start of a new trend. This option as well as others are included for further flexibility in the wave count. When this “aggressive wave 3” option enabled, the EW2 will display a yellow “wave 3” provided the conditions have been met based on fibonacci extensions.
As mentioned, the elliott wave indicator is programmed to look for and identify potential trending or impulsive patterns, and when appropriate, corrective ABC patterns. In this sense, we are looking to simplify elliott wave theory by taking a more flexible and common-sense approach to the wave patterns. So if the price action has broken key levels of support or resistance, momentum is increasing and price is moving deliberately in a specific direction, it becomes more likely that price is in a trending environment (rather than just a correction). Therefore, the EW2 indicator will likely start by showing the initial impulsive waves 1, 2 and 3 (in blue or blue/yellow) instead of the corrective waves ABC (in pink). However, the user has the choice to change the waves from 123 to ABC by selecting “ABC corrective waves” in the settings.
The EW2 indicator also allows the option to “reverse” the probable trend (and wave count) if required. For example, if the EW2 indicator is showing a probable wave 3 or wave 5 (in blue) and price begins to pullback or move in the opposite direction to the main trend of the wave 3 or 5 – e.g. if price starts to break key support levels (e.g. after an uptrend) and then reverse lower in the opposite direction to the primary trend - then the user has the option to change the wave count in the opposite direction (e.g. downward) a bit quicker. This can be achieved by selecting the option in the settings called “Reverse probable trend”. Applying this setting will reverse the original wave count of the primary trend as set by the indicator (e.g. from up to down or vice versa) provided it is permitted by the rules of the indicator. The colours of the wave counts will change to grey instead of blue. The user can also choose where to manually place the historical wave 5 (if required). However, although this “reverse” option is provided for extra flexibility, it should NOT be used very often. It should only be applied for certain special circumstances where it is deemed appropriate to change the wave count from an uptrend to a downtrend (or vice versa). The EW2 indicator does a reasonably good job on its own of identifying most trend changes without the need for this special “reverse trend” setting.
The chartist can apply other methods of chart analysis – such as trendline breaks, oscillators, regression channels, breaks of support/resistance – to determine when a probable wave (or wave count) has likely completed. For example, technical analysis methods such as trendline breaks and support/resistance breaks can be used by the chartist to determine the probability of whether wave 4 has potentially completed or not. In an uptrend, confirmation that a probable wave such as wave 4 has completed will not come until price has taken out the highs prior to the decline (i.e. the highs before the pullback in the probable “wave 4” correction). The same applies in reverse for a downtrend: confirmation that the probable wave 4 has completed will not come until price has taken out the lows prior to the rally (in a probable wave 4 correction).
It should be remembered that the appearance of the most recent wave counts (or wave labels) shown by the indicator, by themselves do NOT mean that the specific waves in question have definitely completed or finished. The same applies with wave projections as they do NOT imply that price has to necessarily move to those specific projection levels. They are merely to provide helpful guidance and education in chart analysis. Nothing in chart analysis is certain or definite as we are dealing with a system that is chaotic, unpredictable and probabilistic. The wave label itself is simply an indication that the most recent wave is probably still in progress, not necessarily that it has completed. Chartists can apply other technical analysis tools and methods (e.g. trend lines, support/resistance breaks, moving averages and regression channels etc.) to increase the probability of when a specific wave has probably completed. The same also applies to past or “completed” wave counts (or past wave labels): they do NOT mean that the specific waves have definitely completed or finished – it is merely a possibility or probability. So the risk always exists that the wave counts may potentially be wrong, and that an alternative wave count interpretation may exist.
In certain circumstances where there are volatile conditions and charts, it is possible that the elliott wave indicator may show an “unusual” wave count. For example, it is possible that the positions of certain wave counts (such as waves 1, 2, 3 and 5) may be in the “wrong” order. This happens rarely so it is not an issue that happens very often. However, if this issue occurs, the chartist can rectify the matter by applying one of the following options: (a) moving and adjusting the position of the historical wave 5 (in green) to a more logical position, (b) applying the “use short term” setting or (c) wait a bit longer until the volatility resolves itself in time. These options can usually resolve the issue and show the wave counts in a “proper” manner. Changing to a slightly lower (or higher) timeframe can also usually resolve this issue. If any changes are made to the settings of the indicator, please reset the indicator settings back to “default” when changing to a different symbol or timeframe.
The user can also choose to enable the zigzags of the waves to be shown on the chart. This can display the wave structures and zigzags, if enabled. By default it is set to off. As mentioned previously, it may also be a good idea to reset the settings of the indicators whenever a new chart or timeframe is chosen. This then refreshes the settings back to its default.
It is important to appreciate that the elliott wave indicator generally requires between 1,500 to 2000 bars of data on the chart in order to display the wave counts adequately and appropriately. So if a chart or timeframe has less than the minimum number of historical data or bars on the chart, the wave counts may not display properly or not appear at all. Certain chart symbols and timeframes (such as the monthly timeframe) may have very limited amount of data on them. Therefore, the elliott wave indicator will likely not appear on these charts or may not display properly. In these situations, a different chart symbol or a lower timeframe with more data on it can be chosen. For example, instead of a monthly timeframe, a weekly or daily timeframe can be chosen. Similarly, if a “study error” message appears on the EW2 indicator, this can be remedied by switching to a slightly lower (or higher) timeframe. However, usually such study errors are temporary and often get resolved after a brief time.
We have allowed for further flexibility in the EW2 indicator so that the user can move the wave counts manually, if required. The chartist can manually move the position of a wave count to a specific bar (or candle) on the chart if they choose to do so. For example, if we want to move the position of wave 1 to a specific bar in the past, we would first tick the box in the indicator settings called “Manually Place Wave 1”. Then we would use the “date range” tool to find out the distance of that past bar from the current bar (e.g. 50 bars) and then input that number (50) into the box next to “Manually Place Wave 1”.
Price action, markets and their charts are non-linear and chaotic, which means that they are subject to uncertainty, variable change and being unpredictable in nature. So we must maintain a probabilistic mindset and attitude to technical analysis. Nothing is certain. Therefore, no wave count is certain or “set in stone”. Wave counts, just like the actions and emotions of human beings, are subject to change. Elliott Wave theory, just like all of technical analysis is about what is possible, what is probable and what the risks are of a particular outcome. The advantage of elliott wave theory, as explained previously, is about gaining an understanding of context and the likely big picture. The indicator is provided in good faith but we do not vouch for its accuracy.
As mentioned previously, chartists should be aware of the probabilistic and uncertain nature of price action and the markets, and therefore prepare to limit and control any potential risks.
The chart indicator can be used on the charts of the majority of markets (e.g. stocks, indices, ETFs, currencies, cryptocurrencies, precious metals, commodities etc.) and any timeframe. Nothing in this indicator, its signals or labels should be construed as a recommendation to buy or sell any market (e.g. stocks, securities, indices, ETFs, currencies, cryptocurrencies, metals, commodities etc.). The indicator is provided solely for educational purposes, to gain a better understanding of technical analysis and elliott wave theory. It should be noted that the degree of noise and randomness increases significantly on lower timeframes. So the lower the timeframe that is chosen (e.g. 15-min or lower) the greater the degree of noise and randomness and therefore the higher the frequency of false signals or whipsaws. The indicator can be applied to candlestick charts and bar charts.
If you would like access, please send me a PM on Tradingview.
BTC Performance Table / BTC Seasonality Visualization
This script visualizes Bitcoins "seasonality", in form of a colored table (based on the idea from "BigBangTheory")
The history table shows you which months do statistically perform better/worse in comparison to other months.
How to use this script:
Choose ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin").
Set the charts time frame to weekly or daily. Tables position on the screen and its colors are configurable.
Table explanation:
Cells show whether a gain or a loss occured from month to month, since BTC came out in 2010.
The price difference, between monthly open and monthly close, determines the cell color (negative -> red, positive -> green).
The year column shows total gain (green) or loss (red) for that particular year.
Each value is presented as a rounded percentage number.
How this script works:
The script calculates the price difference between each monthly and yearly open and close, storing those numbers inside arrays.
Then it populates the table, by using those numbers and doing the cell coloring (there will be a yellow cell, in case no change should occur).
German Short-Description
Prozentuale Übersicht in Tabellenform, der monatlichen, sowie jährlichen, Performance des Bitcoin (basierend auf der Idee von "BigBangTheory").
Hierdurch wird die "Saisonalität" des Bitcoin sichtbar. D.h. welche Monate des Jahres, im Vergleich zu anderen Monaten, statistisch gesehen öfter positiv/negativ schließen.
Zwecks vollständiger Darstellung muss der Ticker "BLX" ("BraveNewCoin Liquid Index for Bitcoin") im weekly oder daily time frame aktiv sein.
PATIThis indicator is part of our educational suite focused on teaching price structure, momentum, and mean reversion trading strategies for intraday trading. Our team has selected this set of tools and metrics, which define our trading style and serve as the foundation for our teaching, to be included in this indicator. We are displaying each component in a way we believe is helpful to their understanding which also provides a clean, comprehensive look.
This indicator is for Intraday Trading
Our Traders most commonly use this indicator on the 1,3 or 5 minute chart.
Components of this Indicator:
Multiple VWAP Levels: monthly, weekly, standard (anchored to the right of price)
Dynamically Anchored VWAP Cloud (trend tool)
13 EMA (trend tool)
Structural Orderblocks
Multi-Timeframe Fair Value Gap detection
Key Daily Price Levels (anchored to the right of price)
Customizable Opening Range (anchored to the right of price)
15 minute “Golden Zone” (shows the .5-.618 zone of the previous 15m candle)
ADR (Average Daily Range)
A4R (Average 4hr Range)
These tools are used in conjunction with the education we provide to help our users determine their optimal trade plan to utilize their edge.
Specific Functionalities and Uses:
Monthly-VWAP & Weekly-VWAP (M-VWAP/W-VWAP):
VWAP = “Volume Weighted Average Price”
These levels provide probable zones where price may mean revert and risk should be taken off/ put on. We have anchored these to the right-hand side of your chart by default to minimize the noise on your chart.
Average Daily Range (ADR): The Average Daily Range is a technical indicator used to measure the volatility of an asset. It displays how much an instrument can move on average during a given day. The significance is that each market has a unique range that is likely to be covered on any given day.
Average 4hr Range (A4R): The Average 4hr Range is a technical indicator used to measure the volatility of an asset twice in a single session. It displays how much an instrument can move on average during a session and is measured twice in a day. Calculating a smaller volatility range may seem strange at first but can be a huge advantage by analyzing the volatility of the intraday action, giving you average price targets based on more recent market data.
Tip: When used in conjunction with key support and resistance levels, ADR & A4R can be a huge edge to traders to determine where to push/pull risk.
Opening Range: The open often establishes the trend and sentiment for the day, but there is also statistical significance to the open that is overlooked. Statistically, on average, the open is near the high or low of the day and offers plenty of opportunities to build trading strategies. The chart below provides some potential trades that could be taken once the opening range has been established.
Dynamically Anchored VWAP Cloud: Our dynamically anchored VWAP cloud tracks the most recent impulsive move and re-anchors to show you potential bounce points in a trend. We re-anchor at each structural shift to give the most probable targets for buyers/sellers to defend their positions to continue the current trend push.
By utilizing the re-anchoring at each significant structural inflection point, we can establish a much less lagging trend following technique.
We have also included the feature to substitute this cloud for a 34/55 EMA cloud for the traders already familiar with that system.
The chart below provides potential trades that could be taken using the VWAP cloud system.
FVGS (Fair Value Gaps/ Imbalances): These areas represent potential buy/sell side liquidity imbalances where price is pushed aggressively, sweeping the orderbook and will likely return to “fix” the structure before continuing. Below is an example of 3 possible trade paths we look for inside these structural imbalances.
Structural Orderblocks:
These areas are based on structural pivots that have been pushed out of with aggression determined by subsequent structural breaks to confirm their validity. Because of this, when price returns to these areas we can anticipate this area to be defended.
The blue boxes track Orderblocks. These highlight instances of past participation which create areas likely to be defended again when retested.
Swing High/Low/Previous:
We use swing high and lows as points of short-term support and resistance, a break of these levels can signify a shift in market sentiment.
-The dashed green line shows the previous structural swing high or low pivot point.
-The solid green lines show the high and low in our current trading structure.
Note: Displaying the previous swing can provide us with context of the current market trend, and will assist us make better decisions.
15 Minute Golden Zone:
Displayed as a gray box, it tracks the .5-.618 of the previous 15m candle and gives us an area where we look for short-term resistance/support on smaller time frame price action. This area can be viewed as an equilibrium of the current range. If the price can hold this area, it can show a likely support area for continuation.
13 EMA:
This is the choice length ema of our traders, they use this ema to confirm (short-term) trend direction and reference it for a common bounce point for re-entries. Our traders consider this as a crucial point to speculate reversals and break of short-term trends.
Note: Typically in a trend we see the price hold to one side of this ema, by looking for this characteristic, it brings confidence to staying in trades.
Please check the Author Instructions Below for how to gain access to our indicators.
SFC Smart Money BenchmarkA benchmark is a standard or point of reference, which traders can use to measure something else.
This indicator is showing how correlated pairs are performing and what is the current correlation between them.
Features:
- Market performance - daily, weekly, monthly
- Sigma - volatility . It will be coloured in red, if the volatility is bigger than one standard deviation.
-Correlation - Positive correlation will be coloured in green if it is confirmed by the P-value, negative correlation in red.
-Confidence intervals
-Determination
Markets:
- Metal sector
- US Stock Indices
- Major USD Pairs
Market performance
The indicator is plotting a table with the current performance of the particular group, for example the metal sector and all correlated Gold pairs. The table is showing the performance of the pairs based on monthly, weekly and daily bases in the same time. In this case the trader can track all pairs simultaneously and see if there are anomalies between the pairs - SMT Divergence.
For example:
We know that Gold and Silver are very strong correlated pairs. In this case if Gold is going up, but Silver not, probably this move is only current manipulation and the true move is not clear. In that moment the trader can decide not to open an order or take some profit.
With the Sigma value traders also can track the current volatility of the price. The strength of the volatility is measured by the standard deviation.
-1>Sigma<1 - The asset is moving normally
-2>Sigma<-1 or 21 - The asset is volatile
-3>Sigma<-2 or 32 - The asset is very volatile
Correlation
The indicator is showing the current correlation between all pair from the table. The correlation is set to the first pair of the table. In order to make the correlation more accurate the indicator calculates the P-value and the Determination coefficient. The confidence intervals are also displayed in order to show how strong correlation should be expected.
Pearson correlation is a measure of linear correlation between two sets of data. It is the ratio between the covariance of two variables and the product of their standard deviations; thus, it is essentially a normalized measurement of the covariance, such that the result always has a value between −1 and 1. As with covariance itself, the measure can only reflect a linear correlation of variables, and ignores many other types of relationships or correlations.
P-value evaluates how well your data rejects the null hypothesis, which states that there is no relationship between two compared groups. Successfully rejecting this hypothesis tells you that your results may be statistically significant. In academic research, p-value is defined as the probability of obtaining results ‘as extreme’ or ‘more extreme’, given that the null hypothesis is true — essentially, how likely it is that you would receive the results (or more dramatic results) you did assuming that there is no correlation or relationship (e.g. the thing that you’re testing) among the subjects
Coefficient of Determination is just the square of pearson’s correlation coefficient R. This is done as it is easier to explain linear regression in terms of R² than R. As R ranges from -1 to 1, R² would range from 0 to 1 — clearly explaining relationship with 0 being not related and 1 being perfectly related.
The correlation confidence interval is the range in which the population correlation is most likely to be found.
The degree of certainty for which it is likely to be within that range is called the confidence level.
When you collect sample data, you can not know the exact value of the correlation.
Note:
For the Stock indices there is an extra calculation, showing the current market expectations - Fear and Greed Index. The calculated index could differs a bit from the original CNN Fear and Greed indicator, because they calculate the index based on Future markets. This indicator calculate the index based on the market that we trade - indices.
Supported pairs:
-Option Gold - XAUUSD , GDX , Silver , Aluminum, Platinum , Palladium, 30Y US Yields, 10Y US Yields, 2Y US Yields, XAUEUR, XAUGBP, XAUAUD , XAUCAD , XAUCNY , XAUJPY
-Option Others - Table1: SP500 , US30, NAS100 ; Table2: DXY , EURUSD , GBPUSD , AUDUSD
MTF Swing Highs and Lows w/ Supply and Demand ZonesI designed this indicator out of necessity for the Market structure/Price action trading strategy I use.
I thought I'd share. :)
For the fans of my Multi Timeframe Swing High and Low indicator, I have added Supply and Demand Zones!
The Supply and Demand Zones are based on the Swing Highs and Lows of my MTF Swing Highs and Lows Indicator.
The S/D Zones are created on the wicks of the Swing Highs and Lows.
You can choose whether to display the Chart, Higher and/or Highest timeframes as in the chart below.
You can also choose to display up to 3 S/D Zones from the past 3 Swing Highs and Lows.
The default setting is to display 1 chart timeframe S/D Zone, 2 higher and 3 highest, as I found this to be most effective without
cluttering the screen too much
The Chart Timeframe S/D Zones have an orange border, higher timeframe have a blue border and the highest have a black border.
Supply zones based on Swing Highs are red and Demand Zones based on Swing Lows are green.
This indicator displays Swing Highs and Lows on 3 timeframes based on the Chart timeframe, as follows:
Chart TF Higher TF Highest TF
1m 5m 15m
5m 15m 60m
15m 60m 240m
60m 240m Daily
240m Daily Weekly
Daily Weekly Monthly
You can change the font size of the labels as you'd prefer.
ORB PSAR MTFThis is an adaptation of the inbuilt PSAR function in a Multi Time Frame .
When MTF enabled It will plot two timeframe simultaneously as follows:-
1 Min with 5 Min (HTF)
5 Min with 15 Min(HTF)
15 Min with 1H(HTF)
1H with 4H(HTF)
4H with Daily(HTF)
Daily with Weekly(HTF)
Weekly with Monthly(HTF)
The higher timeframe(HTF) will get plotted in bigger circled lines.
By enabling plotting of all levels, you can see all current levels of all TF( M1 ,M5,M15,H,4H,D,W,M) on the same screen as "X" on the right side.
Alerts allow you to get alerts when these crossover happens.
Concept Credits: Deishma (Nimblr)
Musashi_Katana=== Musashi-Katana ===
This tool was designed to fit my particular trading style and personal theories about the "Alchemy of the markets" and ''Harmonic Structure'.
Context
When following a Technical approach to to surf the markets, there are teachings that must be understood before reaching a confort-zone, this usually happen the possible worst way by constant experimentation, it hurts.
Here few technical hints:
- Align High timeframes with lower timeframes:
This simple concept relax a lot complexity of finding of a trend bias. Musashi-Katana allows you to use technical indicator corresponding to specific timeframes, like daily weekly or yearly. They wont change when you change the chart's timeframe, its very useful as you know where you're standing in the long term, Its quite relaxing.
- Use volume:
The constant usage of volume will allow you to sync with the market's breathing. This shows you the mass of money flowing into and out of the market, is key if you want to understand momentum. This tool can help here, as it have multi-period vwaps. You can use yearly, monthly for swing trading, and even weekly if you enjoy scalping.
Useful stuff:
- You have access to baselines, AMA and Kijun-sen with the possibility of adding ATR bands.
- AMAs come as two lines strategies for different approaches, fast medium or slow.
- You can experiment with normal and multi timeframe moving averages and other trend tools.
Final Note
If used correctly Musashi-Katana is a very powerful tool, which makes no sense as there is no correct usage. Don't add everything at the same time, experiment, combine stuff, every market is different.
Backtest every possible strategy before using it, see what works and doesn't. This gives you a lot of peace, specially while you're at the tip of the spear surfing the markets
--> I personally use this in combination with 'Musashi_Slasher (Mometum+Volatility)', as it gives me volatility and momentum in a very precise way.
Shaktiman [DSS_Rajput]I'm a Momentum Trader, following the Indian markets, Mark Minervini and William O'Neil follower.
User Settings
Inputs tab
EMA option for Table - It compares the current price of the symbol to its key EMA's and calculates the rate of return to make it easier to track the performance of the symbol. It Helps you to identify how far the price is from its Key EMA's
ADDITIONAL TABLE DATA - It will allow you to use multiple performance data sets with your set of customizable inputs (You can change periods as per your requirements)
Show Inside Bar (IB): Allows you to add Inside Bar on your chart
Show NR4 (Narrow Range): Allows you to add an NR4 bar on your chart
Show INR7(Narrow Range): Allows you to add NR7 Bar on your chart
Distance_From_EMA_Table: Allows you to enable/disable the price difference with its key EMA's table.
ROC_Table: It compares the current price of the symbol to its past price and calculates the rate of return to make it easier to track the performance of the symbol.
Note that the Performance sidebar is not updated in real-time, while this indicator is, so on real-time charts.
The formula of the calculation is (Current value - Past value) * 100 / Past value, where Past value is: 1W, 1M, 3M, 6M, 1Y
Momentum_Table: It compares the current price of the symbol to its past lowest price of that period and calculates the %Gain of the symbol from the low of that period
Power_Play_Candidate: It will show the power play candidate, similar to IBD, It merely qualifies for Power_Play.
You need to wait for the Right Entry point. It will give you 8 Week Range.
According to IBD, it should move 100%+ in less than 8 weeks. You can modify your criteria by changing the percentage gain.
U/D Ratio: IBD defines the U/D ratio as "A 50-day ratio that is derived by dividing total volume on up days by the total volume on down days.
A ratio greater than 1.0 implies positive demand for a stock"
UpVol criteria: close>open and vice versa for DownVol
Rvol (Relative Vol): Percentage volume change (compared to daily average volume)
ADR : It allows you to add the Average Daily Range to the table.
Show 50D Avg. Vol & Avg. Vol rupee: It allows you to add 50-Day Avg. Vol and 50-Day Avg. Vol rupee.
Show_Bull_Snort: Allows you to add bull snort to your chart and style the bar.
Bull Snort is the work of Oliver Kell. For more info about Oliver kell, check youtube videos of Oliver Kell.
Normal Moving Average: Plot 4 Simple, Exponential, and Weighted Moving Averages. (You can choose an option between EMA/SMA/WMA)
Fixed Moving Average : Plot 4 Simple, Exponential, and Weighted Moving Averages. (You can choose an option between EMA/SMA/WMA)
Plus Point: It will not change its value when you switch to a different timeframe. Let's say you applied Fixed Daily 20MA, on the intraday chart.
It will not change its value and It will give you much more clarity that, from where the price is bouncing from 20MA. Explore it (You will definitely love it!)
Fixed Moving Average : Plot 2 Simple, Exponential, and Weighted Moving Averages. (You can choose an option between EMA/SMA/WMA)
Plus Point: It will not change its value when you switch to a different timeframe. (It's like Plotting 10 Week Line on Daily Chart & Intraday Charts)
Numbers of weeks to show High & Low: It will add data to the tables and also add 52 weeks of High & Low lines on the charts.
(Number of weeks is customizable, you can change as per your requirements.)
Style tab
You can modify the style and color of any of the inputs except table color.
Conclusion
If you like this script, click on Add to favorite indicators, so that you can easily add this indicator from your favorites tab right away.
Hope you find this useful. Please leave any questions you have in the comment section and I'll be happy to answer them.
Thanks!
Future Pivots CPR - All Timeframes
Simple idea that allows you to display tomorrow CPR/ Standard Floor Trader Pivots based on the high, low and close of today session. Likewise, it works for higher timeframes taking into account the high, low, close of the period (e.g. weekly, monthly, year).
Just be aware that -regardless of the timeframe- if the period is still in development, the indicator will constantly/ live update the values until the period is closed!! This indicator is meant to be used when preparing for the next trading period. If you want to use it live, I'd suggest using the function of this indicator which allows to display only current/closed pivots-
Similar to other script I published, this indicator lower timeframes (Daily and Weekly) will work with lower timeframe bars, this is the Minutes and Hour bars. Conversely, higher timeframe CPR/Pivots will work better with timeframes/charts from Daily and above.
Available tick/untick functions:
- Select timeframe
- Show current CPR & Support/Resistance
- Show tomorrow CPR & Support/Resistance
- Display historical CPR (CPR only)
- Show extended support and resistance lines (S2,S3,R2,R3) for current and future pivots.
