BIDY Cycle Analysis
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Gold vs Bitcoin Bear Market Fractal
This was something I shared earlier on Slice when it first started, but on Silver, saying it matched BTC's parabolic advance, and I wondered it would unfold similarly.
It did.
Gold actually does this pattern. I have 100% seen this before. Just a long time ago and when you zoom out looks different than this on the chart
This is why I like to say, a pattern is a pattern is a pattern
I am in the process of trying to figure out why the market spits out this type of wave and not another type
And THAT is why I moved into music theory. Because nothing exists that describes the different variables such as momentum, in Ellliott Wave.. But music has similar things, along with scale, rhythm, structure, etc.
The only difference on Gold, is that it usually does a lower low on the COVID low. I tin it does a deep spike towards $3,0000 that's bought up huge and fast
OPEX is next Friday - OPEX week often tends to amplify the prevailing trend rather than reverse it. Here are some statistics for October OPEX weeks:
· Over a subset of 14 years (for which I had data) in the last 25 years, it averaged about +0.54%, ranking as the fifth-best OPEX week of the 12 months.
· The table below shows the results for the last 5 years.
UPDATE: altcoin gems target 20-50% 💎
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$SYRUP
Secara fundamental @maplefinance sangat bagus bahkan masuk Top DeFi yang berintegritas dengan @RobinhoodApp
Contoh lainya : $UNI, $ENA & $MORPHO
jadi secara fundamental: $SYRUP bagus.
Secara chart ?
sebelumnya @maplefinance masuk ke mode downtren karena sepanjang 2025 ke 2026 masuk bearish atau bear market.
Tapi saat ini ?
$SYRUP terlihat kuat dan berhasil breakout bearish downtren. Biasanya setelah 4x di tolak yang ke 5 di terima.
Mirip kalau kalian ngejar cewek hehehe
$SYRUP sangat bagus dan baik jadi nanti saya berencana memasukkan dia di portofolio sub.
Best entry: 0.20-0.19
Nanti kita coba swing atau spot midtem. Dan mungkin $SYRUP bisa jadi bahan pertimbangan juga 👌🏻
Risk assessment methodology
RED
High risk: severe financial pressure or significant potential for systemic disruption.
ORANGE
Elevated risk: material vulnerability requiring active monitoring.
GREEN
Contained risk: vulnerabilities currently appear manageable.
All twenty monitored risks
Financial risk | Status | Trend |
1. Sovereign debt sustainability | Red | Worsening |
2. Government bond-market instability | Red | Worsening |
3. Private credit deterioration | Red | Worsening |
4. Commercial real estate debt | Red | Worsening |
5. AI investment and debt-financing risk | Red | Worsening |
6. Corporate debt refinancing wall | Orange | Worsening |
7. Banking-sector credit vulnerabilities | Orange | Stable |
8. Inflation resurgence and monetary-policy constraints | Red | Worsening |
9. Energy shock and industrial profitability | Red | Worsening |
10. Equity-market concentration and overvaluation | Red | Worsening |
11. Non-bank financial leverage | Red | Worsening |
12. UK gilt-market and pension-fund vulnerabilities | Orange | Worsening |
13. French fiscal and sovereign-bond pressures | Orange | Worsening |
14. German |
Momentum improved overnight, and our cap-weighted readings are back in positive territory this morning. The Russell is still underwater, so small caps haven’t joined in yet, but financials are improving.
Rates and oil both gave us some relief yesterday. The 10-year closed at 5.22%, down from 5.28%, and oil is pulling back again this morning. The AI trade took a hit after a report that OpenAI’s revenue is running about $20 billion below earlier estimates, with Oracle falling more than 5%. Most of that money stayed in stocks. It rotated into energy, staples and banks, and the equal-weight S&P finished higher on a day the S&P fell. Semiconductors are leading the bounce this morning.
It’s Friday with weekly options expiring, so everything is in play, and this market can go either way today.
Delta (DAL) missed estimates and cut its full-year profit outlook this morning on a $6 billion jump in fuel costs. If it pulls back to around $77, into the bottom band or lower, take a shot back up to the
Danish shipping group Maersk has stated that it was increasing its emergency fuel surcharge (EFS) on inland transportation in the UK and Ireland due to the ongoing conflict in the Middle East. Maersk said in a statement it was increasing its EFS to 20% as of October 12th, and that it would continue to review the surcharge regularly. Maersk's previous UK inland fuel surcharge was 10.6%, effective from 1 October 2026.
The increase as of 12th October is therefore:
- Previous surcharge: 10.6%
- New surcharge: 20%
- Increase: 9.4%
- Relative increase is 88.7%
In other words, Maersk is almost doubling its UK inland fuel surcharge in less than two weeks.
GEX Cycles vs Gross & Net Gamma Exposure
- The first chart shows the gross gamma map until January.
- Bigger dots mean more gamma. Grey means calls and puts are roughly matched, blue is call-heavy, orange is put-heavy. The largest dots, at 8000 and 7000, are matched positions. Call-heavy strikes from 8050 to 8200 appear for the December and early-January expiries.
- The second chart shows the net gamma map until January.
- On a net basis 7000 disappears and 8000 shrinks to an ordinary dot: for the 18 December week it holds about $31 billion of gross gamma but only about $1.2 billion net. The largest net positions are call gamma near the current price for the 16 October expiry (roughly $3 billion each at 7800 to 7900) and at 8040 to 8160 for the turn of the year. Net put gamma is sparse and below the market, at 7650 to 7700 for late October and 7500 for 20 November.
SPX vs GEX Cycles
- Dealers' gamma exposure (GEX) data from SqueezeMetrics has similar (almost the same) cycles as SPX.
- Positive GEX means dealers are long gamma and should sell rallies and buy dips. Negative means they are short gamma and should trade with the move.
- However, the GEX cycle composite leads SPX cycle composite by about 1-3 weeks
- Not sure how to use this cycle lead time, but getting the same cycles from different data is a good confirmation of SPX cycles and turning points
