I'm not sure anyone will have that specific answer, I don't anyway.
BTW, I tried with the popular file formats as well parquet and whatever else. The above was the best. Note that the pandas dataframe was compressed.
Why not try it and find out? The above was what I found after much testing.
What I did was store blocks of pandas dataframes in SQL something like:
block date start, block date end, instrument id, pandas dataframe
Probability of rate hikes is inversely proportional to S&P drawdown
I did give a little back midday but made it up and then some.
At least on stonks it's not a dead cat bounce, it's quite a reversal. To remain bullish, needs to consolidate at the very least.
Nothing is wrong meaning the market is working as it should given stagflation is expected/incoming.
What about your wife, does she care?
It is exhausting trying to understand you.
I think there might be some language difference.
IWM consolidated for most of 2021 and everyone was expecting a massive breakout. We had a failed...
OK do it. I just trade price action, all I know is that Russell topped well before QQQ.
I think you mean Q4 2020?
QQQE and RSP are good proxies, but a great one has been % of stocks under 200 DMA.
Can you find a period of time where Russell was strong and growth stocks were weak?
What were your expiries?
A great philosopher once said "Mo Money, Mo Problems". I'm going to lean towards that being the truth rather than your projection of whatever it is.
This is not true necessarily. For OP it probably is. But in reality, if you become successful in trading or whatever else it is likely that you...
The Fed will be forced to prop up markets by buying stocks.
They cannot let the retirees be forced back to work.
Separate names with a comma.