@TraderBanana Sería lo ideal y lo mejor ! la asimetría se anularía, la ventaja competitiva de los institucionales disminuiría, tanto estrategias y tipos de órdenes serian expuestas, los fees bajaría, por lo tanto su modelo de negocio se anularía... su negocio ya no seria negocio jajaja
Commodities are now up 17% this year.
Geopolitical conflicts intensifying.
Fiscal deficits worsening.
Inflation re-accelerating.
Interest rates in desperate need of suppression.
Central banks accumulating gold at unprecedented levels.
None of us own enough hard assets, in my view.
History shows that natural gas prices tend to bottom after reaching steep contangos.
Here we are again with the second widest spread in the history of this contract.
A similar phenomenon occurred with oil in April 2020 when the market was also oversupplied, marking a historical bottom at ultra-negative sentiment.
Bottom line:
This is probably not the time to be bearish on nat gas.
This disparity appears unsustainable, and the recent rise in agricultural commodity prices is expected to have a substantial effect on overall food prices, which are poised for a significant rebound.
Additionally, the continuous surge in global freight costs is likely to contribute to upward pressure on consumer prices.
These are noteworthy developments in the realm of inflation that seem to be disregarded by many, including policymakers.
It's evident that the inflationary problem remains deeply ingrained in the system and is far from being resolved.
Just when everyone was fixated on NVDA, here comes cocoa prices.
These inflationary moves across diverse commodity markets make today's cycle unique, reinforcing the likelihood of another inflationary era.
Deglobalization, excessive fiscal spending, wage hikes, and chronic underinvestment in natural resources are the primary forces at play.
H/t @jaytradeschi
GS Quant by Goldman Sachs
A Python toolkit for quantative trading strategies and risk management:
- Develop your quantitative trading strategies
- Analyse derivatives
- Find your alpha
Get it for free👇:
https://t.co/dKOhGiybFM
"Correlation Matrix Clustering for Statistical Arbitrage": "We... partition the correlation matrix of market residual returns of stocks into clusters... and evaluate the performance of mean-reverting statistical arbitrage portfolios within each cluster." https://t.co/OnxgxhZvBi