DXY Is Long-Term Still BearishOne of the main reasons why USdollar – DXY may stay weak is DXY/ZN (DXY against 10Y US Notes) ratio chart. Now that 10Y US Notes is looking for a bigger recovery, DXY could easily see more weakness, as DXY/ZN ratio chart is still looking lower, but ideally once current bearish running triangle in (B) fully unfolds, which can be in final stages.
With bullish stocks and while bonds are trading at potential support, there's no real reason to be bullish on USDollar, so DXY is long-term still bearish. DXY/ZN ratio chart is now at the upper triangle line for potential final subwave E of a bearish triangle in (B). Bond market recovery, may slow down the USdollar again, which can push DXY/ZN ratio chart into wave (C), but confirmation is below lower triangle line.
However, of course, if USDollar will keep recovering, then DXY/ZN may face higher resistance for a flat correction within wave (B), but it’s still bearish on a higher degree time frame, so sooner or later DXY will back to bearish mode.
Search in ideas for "RATIO CHART"
AAPL ready to fill it's gapAAPL may be ready to drop into an expended wave 3 or 5, depending on what happens with the markets tomorrow. As far as I can tell, either wave 4 or wave 2 of 3 (of 3) was finished this morning - I've market the latter. Regardless of Elliot Wave Theory or Fibonacci, if they enter the gap under 140 and fail to recover, a major price support will have been broken. Recently I thought maybe AAPL would rally higher to 170 but now I'm having my doubts as the ratio charts I was watching have all broken down. I covered the ratio charts of AAPL in this post.
Either way, I believe it's time for AAPL to drop quite hard and outperform to the downside all other indexes into Christmas.
I know many will scoff at this idea, and I'll be happy to update if it gets invalidated. I am short aapl as of today. Good luck!
IWM/SHY Smalls Caps divided by short term bondsThis chart has timed the market rallies and resistances with impeccable accuracy since the top was put in November of 2021. It is foundational to my daily trend review process. The ratio has been on a weekly sell signal and trend without any technical reversals. Consider ratio charts as hard data and much more reliable than financial pundits who say the "bottom is in" every time we hit a new low then bounce for 2-3 months.
BITCOIN The Golden 51%-49% Ratio is back! Is this the next top?After the interest that the revised version of my Logarithmic Channel model attracted, I thought I'd extend it by adding a few more elements, most notable of which Tradingshot's very own Golden 51%-49% Ratio!
Basically I've been asked continuously to make an update on that legendary chart, so here is an extension, though I promise I will also make an update with the original minimal pattern.
For those who don't know how this Ratio works, it basically suggests that on each Cycle, the phase from the Bottom to the Halving is 51% of the whole Bull Cycle while the rest (Halving to Top) consists the 49%. Practically it claims that the Halving is roughly at the middle of each Bull Cycle.
As the Logarithmic Growth Channel suggest that November 2022 was the absolute bottom of the 2022 Bear Cycle, we can now use the next Halving (number 4) and apply the 51%-49% Golden Ratio. Halving 4 is projected to be on May 26 2024 and based on the Ratio that puts the High of Cycle 5 near the end of November 2025. On every Cycle, once the Bear Cycle Lower Highs trend-line broke, BTC started officially the Rise, which after the Halving turns parabolic.
Do you think a $200k Bitcoin realistic during Cycle 5 based on the combination of this two patterns? Feel free to let me know in the comments section below!
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R/Sector Analysis: Consumer Staples + Consumer DiscretionaryRelative performance and relative strength is meant to assist traders and investors in understanding the appropriate weighting/positioning versus the overall market. Combined with additional factors, a trader is able to determine whether they should hold an equal weight, underweight and overweight position versus the index. The data below represents the relative ratio charts (equally weighted) of the major sectors of the JSE versus the Top 40.
Each chart is presented with the following annotations:
1. Price with a 2 standard deviation linear regression channel over 20 days.
2. Adjacent to the price chart (right hand side), is the Relative Strength Index for the following periods: D1, 1W, 21D (1 Month) and 63D (1 Quarter)
Kalyani SteelsTrying out a Nifty ratio chart...
Another 1-2 situation where a potential huge 3 is due..
A bit of patience here for the breakout to come could find nice returns especially when the trendline is broken through..
Bank Nifty taking a bit of rest and Metal index having a move here could result in the breakout even with smaller price movement..
Relative Sector Analysis: PGMs and GoldiesRelative performance and relative strength is meant to assist traders and investors in understanding the appropriate weighting/positioning versus the overall market. Combined with additional factors, a trader is able to determine whether they should hold an equal weight, underweight and overweight position versus the index. The data below represents the relative ratio charts (equally weighted) of the major sectors of the JSE versus the Top 40.
Each chart is presented with the following annotations:
1. Price with a 2 standard deviation linear regression channel over 200 days.
2. Adjacent to the price chart (right hand side), is the Relative Strength Index for the following periods: 3D, 1W, 21D (1 Month) and 63D (1 Quarter)
Relative Sector Analysis: Coal Miners & TelcosRelative performance and relative strength is meant to assist traders and investors in understanding the appropriate weighting/positioning versus the overall market. Combined with additional factors, a trader is able to determine whether they should hold an equal weight, underweight and overweight position versus the index. The data below represents the relative ratio charts (equally weighted) of the major sectors of the JSE versus the Top 40.
Each chart is presented with the following annotations:
1. Price with a 2 standard deviation linear regression channel over 200 days.
2. Adjacent to the price chart (right hand side), is the Relative Strength Index for the following periods: 3D, 1W, 21D (1 Month) and 63D (1 Quarter)
Relative Sector AnalysisRelative performance and relative strength is meant to assist traders and investors in understanding the appropriate weighting/positioning versus the overall market. Combined with additional factors, a trader is able to determine whether they should hold an equal weight, underweight and overweight position versus the index. The data below represents the relative ratio charts (equally weighted) of the major sectors of the JSE versus the Top 40.
Each chart is presented with the following annotations:
1. A 2 standard deviation, 21-day linear regression channel (signifies 1 month) where, the upper boundary represents an overbought range (potential selling/distribution range) while the lower boundary represents an oversold range (potential buying/accumulation range).
2. Adjacent to the price chart (right hand side), is the Relative Strength Index for the following periods: 1D, 1W, 21D (1 Month) and 63D (1 Quarter)
These data points are included in my research. For more research insights, including trade ideas, get in touch today.
Relative Sector AnalysisRelative performance and relative strength is meant to assist traders and investors in understanding the appropriate weighting/positioning versus the overall market. Combined with additional factors, a trader is able to determine whether they should hold an equal weight, underweight and overweight position versus the index. The data below represents the relative ratio charts (equally weighted) of the major sectors of the JSE versus the Top 40.
Each chart is presented with the following annotations:
1. A 2 standard deviation, 21-day linear regression channel (signifies 1 month) where, the upper boundary represents an overbought range (potential selling/distribution range) while the lower boundary represents an oversold range (potential buying/accumulation range).
2. Adjacent to the price chart (right hand side), is the Relative Strength Index for the following periods: 1D, 1W, 21D (1 Month) and 63D (1 Quarter)
These data points are included in my research. For more research insights, including trade ideas, get in touch today.
Growth vs. Value Update: Does the Market Know Something?Today, a leading technical analyst noted that growth was breaking out vs. value. This analyst flipped bullish a few days ago from bearish, after the US indices rose well off the 5/20/22 lows.
Having pulled up my relative charts—the above chart is a ratio chart of RPG vs RPV—downtrend lines have been broken to the upside. Note the blue and the red downtrend lines which will be discussed below.
Considering this relative chart (also called a spread chart) of growth vs. value, it is apparent that short-term downtrends have been broken. The blue line represents the latest downtrend. However, consider the red line, representing a downtrend from mid-December 2021 to mid-March 2022. This downtrend line was broken with the powerful rally from March 15-29, 2022. But even though this downtrend line was broken, the downtrend resumed in earnest as of early April 2022.
But it could also be argued that the longer-term downtrend from December 2021 to May 2021, a more significant trendline given its length, has been broken as well. See the orange line in the chart above.
Should the break of a downtrend make one bullish or bearish? The answer is not yet clear. It's definitely worth watching growth vs. value. If equal-weighted technology continues to outperform, this could mark a significant rally for technology / growth into mid-to-late summer.
But it could also merely represent a strong bear rally where the underperformers bounce back hard because they've been stretched to the downside.
The Fed has not yet signaled it intends to let up in its tightening / hawkish policy. Does the market know something the Fed doesn't?
Short-term traders may wish to trade growth to the upside after waiting for retracements (pullbacks) that do not fail at key support. Longer-term investors may want to wait for better entries (e.g., a sizeable retracement of the move off the lows—watching carefully that retracement does not gather trend-like speed and momentum.
Pick your Indonesia CPO StocksThe charts above are Ratio Charts among CPO Stocks such as : AALI, LSIP, SSMS, DSNG and TAPG.
If the chart is rising, it means that the stock is Outperform compare to other CPO Stocks.
If the chart is falling, it means that the stock is Underperform compare to other CPO Stocks.
Trend Analysis and Peak Analysis can be applied here.
Growth vs Value. Technology vs Energy.While these two charts aren't the same, they are very similar. The top chart is a ratio chart of ARKK vs Berk.B. The bottom chart is a ratio chart of Tech vs Energy. If the top chart is any indication of the overall trend, then there's plenty of upside in energy still. The downside of ARKK vs BERK.B overshot the minimum downside target. This is a logical area for a bounce. The Tech vs Energy ratio looks to have a ways to go still. These rounded tops are very dependable reversal patterns. Keep your eye open for broken support lines when watching these rounded tops play out.
My Daily Short Volume Indicator (1st on TradingView)Hi all,
Given the recent attention to short interest, short volume, short everything - I'm publishing this analysis about what my indicator does and does NOT do since I've already been getting a few questions about it.
Terminology:
Short Volume = the number of shares opened *or* closed short in a given day.
(Unfortunately, this data does not exist intraday for retail usage from exchanges. If you want intraday, you WILL have to buy this for an extremely expensive monthly subscription.)
Short Interest = the number of shares currently open which are held short against a specific stock / ticker.
(This is only reported by the exchanges twice monthly and has a two week lag - 2021 schedule here: www.finra.org)
Short Float = the percentage of shares currently open short / the number of shares currently float (float = in market circulation) in that stock.
Introduction:
Quandl supplies a daily total volume and short volume dataset for two main exchanges - NYSE & NASDAQ.
This indicator aggregates both of those so you have everything which is publicly and easily available via Quandl BUT and this is a big BUT:
** There are lots of other exchanges which are not included in this indicator, i.e. there are lots of other places that traders can open and close shorts outside of those two exchanges **
This indicator should be consider a sample of the market. A soft-indicator, not an exhaustive data resource.
Walkthrough:
This indicator has 3 main settings currently:
Shs Outstanding
Daily Short Volume
Short Volume Ratio
When I'm screening a stock in a potential short squeeze (Example GME, other great examples are KNDI, KODK, etc.) - what I'm looking for is:
Has the dilution changed since the last major squeeze event? (most squeezers are repeat squeezers)
What has the short volume been looking like lately?
What is the ratio of short volume to long volume lately?
Each of those settings on this indicator attempt to answer those questions and those questions only.
For instance, when using the Daily Short Volume indicator - I'm able to see the early squeeze around the 20 mark on GME and try to analyze further if there's potential for a re-squeeze (new shorts who entered at 20 get squeezed by higher prices etc.)
And when using the short volume ratio - I'm trying to predict how MUCH of the move can be attributed to short volume (opening or closing). In this case, it looks like no more than 25% was due to short volume on the NYSE / NASDAQ which is pretty significant compared to something like the KODK move in July 2020 which was pure long day trading on a small float with news catalyst.
VS.
Feel free to reach out with comments, ideas, questions, and more.
Hope this helps you find your Gamestonk before it happens next time.
Relative Ratio: JSE Insurers vs JSE BanksThe following content is an extract from this morning's client research.
In terms of single stocks, one of my ideas is a local pairs (market neutral) trade idea from the commodities/mining sector. For more insights and real-time ideas, or if you are considering an alternative trading services provider get in touch today.
Another chart/insight published to clients is the attached ratio chart highlighting the performance of JSE Insurers vs JSE Banks. I think this ratio/relative chart is something we need to pay attention to over the medium term , especially from a relative sector allocation perspective.
Text as follows:
"JSE Insurers (Equally-Weighted) vs JSE Banks (Equally Weighted) | The daily chart shows insurers potentially starting to outperform vs banks as it develops a double bottom formation while the weekly 14-period RSI (lower panel) shows the indicator printing a positive divergence."
Disclaimer: The above content should not be considered an investment recommendation.
Relative Strength continues in $TTDThis is a great example of a favorite chart construct of mine. Regardless of the ticker (although I do favor $TTD) I find this chart construction to be very beneficial to keeping things simple, effective and efficient. The following are key takeaways...
Top third - Current price, line chart - looking for absolute support/resistance, uptrending/downtrending specifics. --->>> K.I.S.S. mentality here.
Middle third - Price of underlying vs. $SPXL (in this case) - Relative strength of the underlying security vs. $SPXL gives a great shot of whether or not I even need to be considering a specific holding over $SPXL. I also show the 63 day SMA on this ratio chart.
Bottom third - RSI of the RS chart (middle third) - the goal here is to look for trending momentum either up or down as well as spotting critical divergences. I find divergences of this magnitude to be more reliable (tradeable) than your average price of underlying divergence. Shown is an example with $TTD..
@dgorghuber (TV)
@Futures_Runner (Twitter)
More correction is coming..!After a +12% increase in 1 month, now correction is more likely!
Reversal Patterns in the daily chart:
1- Spinning Top
2- Doji after the Spinning Top
3- Bearish Engulfing after the Doji
4- Increased bet against NASDAQ (increased volume of SQQQ)
Fortunately, I was ready for this! I closed all positions in the past few days and yesterday open reversed ETF position!
est,
Moshkelgosha
DISCLAIMER
I’m not a certified financial planner/advisor nor a certified financial analyst nor an economist nor a CPA nor an accountant nor a lawyer. I’m not a finance professional through formal education. The contents on this site are for informational purposes only and do not constitute financial, accounting, or legal advice. I can’t promise that the information shared on my posts is appropriate for you or anyone else. By using this site, you agree to hold me harmless from any ramifications, financial or otherwise, that occur to you as a result of acting on information found on this site.
Gold vs M2's 6 year moving averageI often found that ratios using gold with something else, the resulting ratio chart looked liked silver! Ex. gold/spx looks like silver chart.
Guess what? Same here with gold/m2. I guess gold is showcasing the inflows towards inflation assets such as silver, when it can out perform M2.
ITC/Nifty Ratio - Telling some different perspectiveITC/Nifty Ratio chart is now very close to its long term support line. Invariably it has bounced from here and significantly as the past tells us so. ITC may have some more pain left, but the memes days are seem to be numbered. ITC might revolt sooner.
DISC: Not a SEBI Regd. I post charts for my own study.
Risk managementI saw a lot of traders they bet for a bull run, without checking his/her risk/reward ratio. Many unexperienced traders are beting for new ATH at a stock, which shows sometimes a really small risk/reward ratio like 3:1.
So they risking 3 times of your investment as they could probably win.
That´s why I wanted to write this small explanation about risk/reward ratio.
What is it ?
Well, you take each trade the risk to loss money, that´s why it is mandatory to handle each trade with a good risk/reward distribution.
Your distribution should be minimum a 1:2 ratio.
Successful day traders are generally aware of both the potential risk and potential reward before entering a trade.
The goal of a day trader is to place trades where the potential reward outweighs the potential risk. These trades would be considered to have a good risk/reward ratio.
A risk/reward ratio is simply the amount of money you plan to risk compared to the amount of money you plan believe you can gain.
For example, if you think a potential trade may result in either a $400 profit or $100 loss, the trade would have a risk/reward ratio of 1:4, making it a favorable setup. Contrarily, if you risk $100 to make $100, the trade has a risk/reward ratio of 1:1, giving you the same type of unfavorable odds that you can find in a casino.
With regards to the long-term profitability formula above, finding trades with high risk/reward ratios (1:2 or higher), will help you maintain higher average profits and lower average losses, making your trading strategy more sustainable.
Another important topic is "Cutting losses", related to our risk/reward ratio
A stop-loss is a pre-planned exit order for a losing trade. These can be executed manually or automatically on your broker platform.
The purpose is to cut losses before they grow too large. Stopping out of a losing trade can be one of the hardest things for day traders to do consistently. However, failing to take stops can result in margin calls, unnecessarily large losses, and ultimately account blowouts.
Sell in May? A brief study on SEASONALITY (and stock picks)I am sure many have heard the saying “Sell in May and go away” in recent weeks. There is certainly a lot of evidence that May and the months that follow it do not have great track record of performance--
www.isabelnet.com
www.isabelnet.com
But does it mean BEAR MARKET? And are there any Seasonal Plays we could take advantage of? I think so. Some Sectors & Industries appear to generally do well (Gaming, Healthcare, IT/software) and others do poorly (Banking, Gold & Steel, Oil & Gas).
Criteria
Scanned Market Chameleon for Market Caps >$1 billion, Common stock types, with 7+ years of observations having good statistical success in May
(I made a quick indicator in Pine to highlight and help visualize the returns of a particular month over a span of time. It’s data may not line up with Market Chameleon’s Seasonality Screener results for a # of reasons, so I am giving them the final word and trusting their data over my script)
Market References
Market Indices ($SPY, $QQQ, $DIA, $IWM)
$VIX
-- The BEST Quadruplets of May --
Electronic Gaming & Multimedia ($EA, $TTWO, $ATVI, $ZNGA)
Good Sharpe ratios (0.92, 0.73, 0.49, 0.48)
Good Average and Median returns (median: 11.0%, 12.0%, 6.1%, 11.1%)
High % of Positive Occurrences (78%, 90%, 70%, 78%)
Aerospace & Defense ($HEI, $KTOS, $TDG, $WWD)
Good Sharpe ratios (0.98, 0.61, 0.56, 0.39)
Modest Average and Median returns (median: 4.6%, 13.0%, 5.2%, 2.9%)
High % of Positive Occurrences (89%, 70%, 60%, 70%)
Note: $HEI.A is actually technically a better performer than $HEI
Biotech ($REGN, $NBIX, $SRPT, $ALNY)
Overall Industry is strong in May
Great median and average returns
Note: This was a tough field as there are lots of good choices and ultimately comes down to the size of the standard deviation
Diagnostics & Research ($DGX, $ICLR, $ILMN, $EXAS)
Great Sharpe ratios (1.22, 1.19, 0.83, 0.72)
Great win rate
Low drawdowns
Honorable Mention: $CDNA scores great as well but does not have a ton of observations
Healthcare Plans ($UNH, $MOH, $CNC, $HUM)
Steady Eddy – low Standard Deviations, low drawdowns
Returns are nothing to write home about
Internet Content ($ZG, $IAC, $GOOGL, $NTES)
Pretty middle of the pack against other quads: good returns by median and average, good Sharpes, good % of positive returns
Packaged Goods ($STKL, $HAIN, $DAR, $BGS)
High win rate- 80%, 67%, 70%, 70%
Relatively speaking, drawdowns are not that bad to the Standard Deviation
Honorable Mention: $FRPT is a solid performer but not enough observations to be part of this group
Restaurants ($SHAK, $JACK, $TXRH, $CBRL)
Very high win rates- 100%, 90%, 80%, 70%
Modest returns, small draws
Chart is condensed because $SHAK hasn’t been listed for a long time (though there’s enough observations and its worth including into group) but here’s the chart w/o $SHAK--
Software Applications ($BMO, $WBK, $CS, $BBVA)
Incredible win rates- 100%, 88%, 75%, 88%
Worst returns/draws are TINY- 0.0%, -4.1%, -2.8%, -2.9%
Great Sharpe ratios
Not a ton of observations, smaller sample size
Software Infrastructure ($SPSC, $FIVN, $EVTC, $NEWR)
Great Sharpe ratios
Good Best returns vs Worst draws
Specialty Business Services ($CTAS, $UNF, $CPRT, $GPN)
Very high % of wins
Good Sharpe Ratios
Small Standard Deviations
-- The WORST Quadruplets of May --
Banks, Diversified ($BMO, $WBK, $CS, $BBVA)
High loss rates- 80%, 90%, 70%, 80%
The worst losses are, on average, about 3.2x greater than the best gains
High negative Sharpe ratios
Banks, Regional ($BBD, $ITUB, $BSBR, $FFBC
Great loss rates; average works out to a loss every May
The BEST gains are very small- +4.9%, +2.9%, +1.7%, +1.6% compared to the WORST draws- -23.0%, -20.5%, -17.4%, -13.6%
High negative Sharpe ratios
Farm & Heavy Construction ($OSK, $CNHI, $NAV, $CAT)
Small BEST gains compared to WORST draws- worst draws are about 3.44x greater than best gains
Mediocre negative Sharpes, modest negative averages/medians
Gold ($HMY, $GOLD, $NG, $BTG)
Industry as a whole seems seasonally depressed in May
High negative Sharpe ratios
Note: don’t confuse the TVC ticker for Gold (US$/oz) for the STOCK of the COMPANY $GOLD
Oil & Gas, E&P ($CPG, $MUR, $VET, $SM)
Oil & Gas industry in general is a terrible May performer
Industry in a general downtrend
High negative Sharpe ratios
Draw % isn’t terrific but the months that this industry gained are not strong
Oil & Gas, Equipment & Services ($FTI, $TS, $RES, $CLB)
Oil & Gas industry in general is a terrible May performer
High frequency of draws
High negative Sharpe ratio
Chart doesn’t do justice reflecting the WORST draws for May- averaging the worst comes out to -22.5%
Oil & Gas, Integrated ($E, $EC, $PBR, $SU)
Oil & Gas industry in general is a terrible May performer
Very high negative Sharpe ratio
Relatively low Standard Deviations
Specialty Industrial Materials ($FLS, $GE, $TRS, $XYL)
High draw % in May
Low Standard Deviations
Steel ($MT, $GGB, $SID, $CLF)
Very negative Sharpe ratios
Big Standard Deviations
High % draws in May- 80%, 90%, 70%, 80%
Tough field to select 4 from- industry in general does poorly in May
Telecom ($TEF, $VEON, $VIV, $TKC)
Good negative Sharpe ratios- -0.78, -0.65, -0.62, -0.58
Modest Standard Deviations
High % draws in May- 80%, 89%, 70%, 80%
Industry seems in a general long-term decline
Utilities - Diversified ($CIG, $OTTR, $AES, $ELP)
Good % draws in May- 78%, 70%, 70%, 70%
Despite general up-trend in Industry, does seem to do poorly in the month of May
BTCDOWN/USDT : BTC's possible drop | read the caption BINANCE:BTCDOWNUSDT
Hello everyone 😃
BTCDOWN is now currently moving into a descending triangle.
Based on 5th rule attempt breakout, BTCDOWN has been rejected for 4 times now.
It means that next attempt is really important and it could cause a breakout on triangle's higher line.
I'm predicting that there will be another leg up for BTC and we may see the dip on next weekend ! ( sooner or later )
Now there are 3 reasons except BTCDOWN chart that makes BTC more bearish on my side !
1️⃣ Bitcoin Balances on Exchanges
2️⃣ Exchange BTC Futures Open Interest
3️⃣ BTC Long-Short Ratio
1️⃣ Bitcoin Balances on Exchanges
BTC's balances on exchanges is increasing day by day, And so; We had +60,627 BTC's balances on exchanges in last 7 days and +7,486 BTC's in last 24Hrs.
As I mentioned before on my last posts about BTC; Market maker will wait for a valuable supply to cause a drop on BTC.
And according to BTC's historical drops DATA; All drops happened after 7 days (averaged) of huge inflows on exchanges.
So we have the Inflow in past days but there is a problem on Futures open interest, According to the chart of Exchange BTC Futures Open Interest; Open interests has decreased about 13% and this makes market makers to wait for a better supply zone.
2️⃣ Exchange BTC Futures Open Interest
BTC's open interest has been dropped for 13% in past 6 days, This is happened when we have more inflows in exchanges, Means that low volume traders are waiting for a confirmation on chart.
However most of the price level drop is caused by BTC's recent dive !
But there is still a space that need to fill by weak hands.
According to this chart, On last 2 days we saw another minor dive on BTC's chart, But interest has been increased for 3% !
It mentions that many of people are considering current drop as a last dive on BTC. This data has been confirmed by BTC's Long-Short Ratio chart ( 0.5% recovery on Longs in past 3 days ).
📌 Remember that many of short positions are created by Asset managers.
3️⃣ BTC Long-Short Ratio
According to today's LONG/SHORT Ratio chart, positions are neutral bullish but the size of positions is neutral bearish !
It means that low volume traders believed that BTC won't go lower ( at-least for now ) but Institutional considered that BTC have more space to drop before any 2nd leg up.
Now that's my thought, Market makers will let the market to have a correction and reach above 52K again; After that we might see more winning on position size and it would flip into a neutral bullish.
Actually I'm predicting a strategy by the last repetition on May .04...
We had current rates on May .04; Also we have similar inflows to exchanges !
Market makers will make this opportunity for positions size to grow again, Then after a fake out on MA 100 it will drop more...
🔰 Based on given data, This is the most possible direction for BTC :
📌 Key words :
- Whales are depositing their assets into exchanges
- Asset managers are more bearish than bullish
- Positions are neutral bullish but positions size is neutral bearish
- BTCDOWN had 4 rejected attempts to break descending triangle's higher line; So based on 5th rule breakout, We may see the breakout on next attempt
🔴 Remember that, All of the given information are provided by @Helical_Trades and we are still predicting on our last idea about BTC :
📌 Also there is a high chance for bears to lead the pair to lower levels from current rate if any daily candle closed below 46K.
Hope you enjoyed our analysis about Sentiment view on BTCDOWN's possible directions🙌
You can support us with your likes.
Also you can share your opinion with us in comments 😉🙋🏼♂️
Attention: this isn't financial advice we are just trying to help people on their own vision.
Have a good day!
@Helical_Trades






















