🟨 Ned Davis: QQQ/QQEW Bearish StanceHello Traders,
Today, we're taking a look at the 63-Day QQQ-QQEW ROC% Spread Indicator. This unique tool provides us with a perspective on the momentum difference between the Invesco QQQ ETF (QQQ) and the First Trust NASDAQ-100 Equal Weighted Index Fund (QQEW) over a 63-day trading period. Credit for this study goes to Ned Davis Research (NDR), who provide quality institutional research. With my recreation, we now can use it for TradingView.
USE THE INDICATOR FOR FREE IN YOUR ANALYSIS HERE -
Currently, the indicator reading stands at 970, which is above the threshold of 600. According to our backtested data from 2007 to present, this suggests a bearish stance for the next 63 days.
Here's a quick breakdown of the backtested results:
👉When the indicator is under -600, the forward returns are 2.0% over 10 days, 3.1% over 21 days, and 9.4% over 63 days.
👉When the indicator is between -600 and 600, the forward returns are 0.6% over 10 days, 1.2% over 21 days, and 3.6% over 63 days.
👉When the indicator is above 600, the forward returns are -0.1% over 10 days, 0.8% over 21 days, and 0.2% over 63 days.
💡As you can see from the chart, the indicator sits at the bottom, and the Relative Strength of QQQ vs QQEW is at the top. The thresholds of 600 and -600 serve as clear turning points, providing valuable insights into potential market shifts.
Given the current reading, our analysis suggests a cautious approach for the next 63 days. As always, it's important to use this tool as part of a comprehensive trading strategy and consider other market factors before making any investment decisions.
Stay tuned for more updates and happy trading!
(Note: This analysis is for educational purposes only and should not be considered as financial advice. Always do your own research before making any investment decisions.)
Equal
$GBPUSD - Bearish Order Block to attack sell side liquidity *SMT*SMT* = Smart Money Theory = everything you think that is not retail related to trading. First, SMT does not believe that triangles, wedges , trendlines , channels, harmonics, etc. has any effect on how price reacts. I'm Sorry, but you won't convince me that Bitcoin knows it has created a triangle and that it knows how to react from that? It does and will remember price levels, that's it. The second is to recognize that the price is not random, it is set by an algorithm controlled by those that control the asset. The Third thing to remember is price will move toward attacking where there is Liquidity (Equal Highs, Equal Lows, phantom Trendlines etc.) and Balance (Fair Value Gaps, Liquidity Voids.) That's the basics. The rest is very unique in the vocabulary you need to have and the concepts that wrap around these ideas.*
It appears yesterday that that their may have been a sligh break of structure in the GBPUSD Chart. However, thje low it created was on par with another low that was created back in march of 2020, during the pandemic. My studies kead me to believe that the price may rise just above the current highs to enter a fair value gap and as soon as it does we should see the fall of the price to head toward that liquidity zone around 1.14
AS PICTURED HERE
I HOPE thi was simple enought to understand.
OANDA:GBPUSD
CADCHF > High Quality Setup Coming Soon!!Friends I am overwhelmed by your generosity, thanks for the likes and comments, thank you for being so giving and kind, not many people have the virtue of generosity.
Analysis on #CADCHF
The CAD been slaughtered everywhere and against every other currency.
In this setup we have
1-trendline support,
2-ABCD pattern,
3- bat pattern
4-support zone
Thank you so much for your support.
Check today analysis below⠀
>>“ Only trade when the probabilities of the market going in your favor are greater than it going against you." TradingAxis
Understanding Equal High LiquidityThe concept around equal high liquidity comes from the understanding that stop losses hold above these points.
In this example, price broke out of bullish structure and began to form bearish market conditions.
This would of course attract sellers, especially at the double top point marked.
The idea is simple, tackle the impulsive sellers before the trend continues.
You can see that price began to lure sellers in from the double top but then came back to take them out before continuing with the true move.
This type of move falls under all concepts of money distribution within liquidity and is definitely worth adding to your strategy.
EURUSD: time to short for some 200 pipsPrice already started rejecting at two important Gann 0.5 levels + 99 bars level from previous pivots points (triple timing confluence); indicating that it's time to create a swing and change direction.
I am targeting a price decline to reach the next visible equal lows of liquidity (around 200 pips).
JOET vs MTUM & an Understanding of ETF WeightingsThe purpose of this idea is two fold. 1) To discuss the fundamental differences between Market-Cap & Equal-Weighted ETFs & 2) To compare JOET & MTUM ETFs. The first half will cover topics specific to ETFs. The second half and very last section offers a comparison of the funds and conclusions to consider when choosing one. Feel free to skip to the bottom if the analysis or conclusions related to the ETFs is all that you wish to read.
Definitions
Market Capitalization = (stock price * outstanding shares)
Momentum is the speed or velocity of price changes in a stock, security, or tradable instrument. Momentum indicates a stock’s price strength. (Source: Investopedia)
Market Cap Weighted Indices
Mechanics
In market cap weighted indices, price plays a key role of weight. Asset allocation goes to stocks with rising prices over time, while allocation to stocks with decreasing prices, becomes smaller.
Behavior
Inherently momentum oriented.
Concentrated on the winners.
Anti-value like dynamic when weighting toward market cap.
Performs the strongest in a growth based market or when you have concentration in some sectors or stocks but not others.
Conversely, concentration risk is realized if a stock or sector’s market cap becomes concentrated regardless of actual growth and then crashes (eg. 2000 dotcom bubble).
Equal-Weight Indices
Mechanics
In Equal-Weight indices, allocation is spread evenly across all stocks and regularly rebalanced at a predetermined time interval.
Rebalancing
Stocks in an index which have increased from equal weight average will be in excess of the average weight. The excess (difference between the new price and the price at the average weight) is sold.
Stocks which have decreased from the last rebalancing will be below the average weight and the difference is bought. This mechanism ensures all stocks share an equal weight at the time of rebalancing.
Because rebalancing typically occurs at predetermined time intervals (often quarterly), there will usually be a degree of asset allocation unbalance between those intervals, as stocks go up and down. Rebalancing daily isn’t practical and would lead to higher management costs.
Behavior
Broader exposure to the overall market.
Favors value stocks and smaller sized companies.
Protects against concentrated risk in a few stocks that may dominate a market cap weighted index.
Performs the strongest when there is broader market participation and when smaller size / value stocks are in favor.
Costs
Equal weighted ETFs have higher turnover from rebalancing weighting = higher fees and higher capital gains taxes
Market Cap & Equal-Weighted (MISC)
Both Equal and Market Cap weighted ETFs require reconstitution or adjustments of their holdings as stocks fall in or out of their parameters of measurement. Examples could be: mergers, delistings, or new inclusions from the parent or underlying index the fund is tracking.
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MSCI USA Momentum Factor ETF - MTUM
Dividend Yield: 1.01%
Expense Ratio: 0.15%
Hierarchy
MSCI USA Index (Parent Index)
MSCI USA Momentum SR Varient Index (Underlying Index*)
MSCI USA Momentum Factor ETF (The Fund / MTUM)
*On November 23, 2020, the Fund’s Underlying Index changed from MSCI USA Momentum Index to the MSCI USA Momentum SR Variant Index
Prospectus notes
“ uses a representative sampling indexing strategy to manage the Fund. “Representative sampling” is an indexing strategy that involves investing in a representative sample of securities that collectively has an investment profile similar to that of an applicable underlying index.”
“The Underlying Index is designed to measure the performance of an equity momentum strategy by emphasizing stocks with high price momentum, while maintaining reasonably high trading liquidity, investment capacity and moderate index turnover....”
“The Fund generally will invest at least 90% of its assets in the component securities of the Underlying Index and may invest up to 10% of its assets in certain futures, options and swap contracts, cash and cash equivalents, including shares of money market funds advised by BFA or its affiliates, as well as in securities not included in the Underlying Index”
How does MTUM determine the makeup of a “Momentum” stock?
The exact calculation is not published but, MTUM screens for the best performing US Large and Mid-cap stock price returns over the past three years, 12 months, & 6 months as a factor for inclusion into the fund.
What is MTUM’s reconstitution strategy when adding / removing stocks from the fund?
MTUM cites using a statistical model published in the Journal of Finance:
N. Jegadeesh and S. Titman, “Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.” Journal of Finance, 1993.
The research suggests, buying past winners and selling past losers, you can achieve profitable returns.
Thesis of the model:
Buy past winners and sell past losers in multiple time configurations. (only two configurations are selected in practice)
Winners measured over 12, 6, 3, or 1 months prior to the time of purchase.
Top winners are selected (selected stocks).
Performance of selected stocks are measured over 12, 6, 3, or 1 months after the time of purchase.
Winners & losers are selected.
Buying more of the winners and selling the losers occurs.
Takes advantage of short term market inefficiencies and lag time between corporate events and price movements. Eg. earnings announcements.
The research conducted demonstrates buying winners and selling losers works within a 12 month timeframe. Beyond 12 months the strategy breaks down.
Because MTUM reconstitutes the fund semi-annually and profitability using this strategy occurs within a 12 month period of time, the fund should be able to realize similar profitable outcomes.
Virtus Terranova U.S. Quality Momentum ETF - JOET
Dividend Yield: Dividends reinvested
Expense Ratio: 0.29%
Hierarchy:
Terranova U.S. Quality Momentum Index (Underlying Index)
Virtus Terranova U.S. Quality Momentum ETF (The Fund / JOET)
How does JOET determine the makeup of a “Momentum” stock and the ETF?
Screens 500 US large cap stocks for the last 12 months’ total return (technical indicator)
500 then ranked based on momentum and quality
Momentum is ranked based on the last 12 months’ total return
Quality is ranked based on:
return on equity (net income divided by average shareholder equity)
debt to equity (total liabilities divided by total shareholder equity)
sales growth rate (annualized sales growth rate over the past three years).
Pick top 250
The 250 Stocks are then again quality ranked based on the same metrics above.
Top 125 chosen for the inclusion into the Underlying Index and used in the fund.
Equal weighted / rebalanced quarterly
What is JOET’s reconstitution strategy when adding / removing stocks from the fund?
Their strategy mimics the above, rebalanced & reconstituted quarterly.
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Factors to consider when selecting JOET vs MTUM
Costs of ownership / fees / dividend yield -- JOET is nearly 2x more expensive than MTUM, excluding any dividend yield. MTUM’s ~1% dividend yield is also a consideration when selecting.
Stock Selection -- MTUM uses a more technical approach to stock picking, rebalancing, and reconstitution. JOET uses a combination of both technical and fundamental (quality) indicators when stock picking, rebalancing, and reconstitution.
Timeframe & Concentration Risk -- With concentration risk in MTUM’s market cap weighted fund, you must consider the forward 12 month performance for the sectors most heavily weighted. Historical data shows equally weighted outperform market cap weighted indices (there are exceptions by sector). Equally weighted indices do a better job of mitigating single-stock event risks. If a stock takes a header during an earnings announcement, the impact on the fund will be lower if in an equally weighted fund.
Sector weighting inside the funds -- JOET & MTUM stock selection begins with the largest US market cap weighted stocks. JOET holdings are equal-weighted, but not the sectors that make it up. JOET is made up of ~33% Tech & ~22% Healthcare stocks.
4 of the top 5 weighted sectors make up the majority of both funds.
Conclusion / Determination
This mostly boils down to deciding which fund does a better job of stock picking.
JOET & MTUM use different stock selection techniques for inclusion into their respective funds, however, both utilize market cap weighted indices when making initial stock selections, leading to similarly skewed sector weighting in both funds (particularly Tech & Healthcare). Although, while sector weighting is concentrated similarly in both, the underlying holdings making up those sectors are largely different. Of the roughly 125 stocks in each ETF, only 48 names are shared in both ETFs.
If you believe a more technical stock picking process, weighting, rebalancing, and reconstitution strategies will work better, MTUM is the winner. MTUM does carry a higher degree of concentration or single-stock event risk and is not as diversified across sector allocation vs. JOET. However, during times when market cap leaders are leading, MTUM will outperform.
If you believe a combination of technical and fundamental quality factors for stock picking & reconstitution strategies will work better, JOET is the winner. JOET is more expensive to own with a higher expense ratio. However, by nature of being equal-weighted, longer term hold durations should have stronger positive outcomes, and lend credence to value-like holdings that have not yet surprised to the upside. JOET also provides exposure to what Virtus believes are higher quality stocks with stronger fundamentals, as that is a criteria for their selections.
Because JOET is less than 12 months old, historical performance cannot be compared with MTUM’s. Additionally, because MTUM recently changed the underlying index used for stock selection and inclusion into the fund (Nov 2020), its historical performance cannot be used as an indicator or expectation of how the fund may perform moving forward.
CHMA - Long IdeaA close above $5.33 would be bullish. Target = 6.50
It may chop around until the wedge resolves itself which would be Oct 2nd = a time stop
A close below the break of the diagonal trendline or 21 EMA would negate the trade.
EURUSD - 1h Trade Idea (Short)Here we see a lot of equal highs and quite obviously retail traders got in seeing a resistance, putting their SLs right above the equal highs. Smart Money knows about Retail Mentality and they know where their SLs would be. They need these SLs to grab liquidity, the latest upwards movement cleared all the SLs, now I'm considering EU to go down as the banks have liquidity and they can go to the intended direction.
EURJPY Fibonacci confluence at support levelHey traders,
here on EURJPY we have a good trend opportunity. JPY piars are all trending very heavy lately and continue to make higher highs. Being that, i want to hop on trend everytime price gives me a chance.
In this chart we have two AB=CD patterns, three good fibonacci levels all lining up at previous support.
Sounds like a good opportunity to go long to me. But i want to enter in a good position so that i can have better risk to reward ratio. I've outlined a box where i'm looking for long opportunities like engulfing candles and double bottoms.
Stop would go under previous structure, target1 would be at 2:1 RR, target2 along with structure.
I'll let you know if i manage to get involved.
If you have comment or questions, fill the comment section below.
Otherwise, see you in the next chart!
Harmonic patterns and Fibonacci confluence on AUDUSDHi traders,
this kind of analysis is unusual for me to share, but i want to show how important could be having more reasons together as confirmation of your bias.
The black line correspond to a daily support level, that could turn into resistance now that's been broken. Not only do we have structure, we also have two different harmonic pattern (equal measure move) completing right there. In addition, we can see three Fibonacci extensions lining up at the same spot.
Having all those reasons rises our confidence in this setup. With the structure's help i've outlined a zone i'm going to pay very attention to in order to find shorting opportunities in form of candlestick formations (in this timeframe and in the hourly).
I'll keep you updated.
If you have any question, please ask beneath.
Otherwise, see you in the next chart!
GO long, BUT wait for a clear price action.Need a little bit down to reach the exact equal leg. However, CD leg can be going so far, - up to 261.8%
Normally it should fall in the red area (100 - 123.6%) So, the plan is:
Wait until it touch the read area and show the clear bullish reversal price action
GER30 at resistance zone (long-term)Hi Traders,
I just closed all my long term longs on $GER30 as I think we are in a great place to reverse or correct for a long time. As we can see on the graphs, waves with equal legs and we just completed 5 waves up. Also, RSI at trend line resistance. If I see anything bearish on 4hr, I might try to short in few days.
Thanks!
Thiago Duarte
thiago@duarteinvestmentgroup.com
@thiagotrader