The market hasn't made money for 18 months!
Since I am hearing this quite a bit, a perspective on what historically followed the "dead 18 month period".
Source: @EdelweissMF
Very imp, everyone must watch and share as much as possible.
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Dial #1945 #1930
In 2025, India and China are now cautious partners, driven by survival.
This shift impacts investors.
U.S. imposed 50% tariffs on Indian exports, pushing New Delhi toward Beijing.
From Sep '24 to Aug '25:
📉 Nifty 50: -6%
📈 Hang Seng Index: +40%
🚀 Hang Seng Tech: +60%
Options for investors to access Chinese markets from India without LRS:
ETFs: Nippon Hang Seng BeES, Mirae Hang Seng TECH
FoFs: Axis Greater China, Edelweiss Greater China Offshore
Risks:
⚠️ Policy crackdowns
⚠️ U.S.-China tensions
⚠️ Currency fluctuations
⚠️ Low liquidity in India-listed products
The next Asian investment wave can combine India and China.
👉 Details: https://t.co/1Li4XRKj2z
#Infinitequity #indochina #chinaindia #investing #Nifty #Nifty50 #hangseng #HongKong
If you have been following the GPT-5 rollout, one thing you might be noticing is how much of an attachment some people have to specific AI models. It feels different and stronger than the kinds of attachment people have had to previous kinds of technology (and so suddenly deprecating old models that users depended on in their workflows was a mistake).
This is something we’ve been closely tracking for the past year or so but still hasn’t gotten much mainstream attention (other than when we released an update to GPT-4o that was too sycophantic).
(This is just my current thinking, and not yet an official OpenAI position.)
People have used technology including AI in self-destructive ways; if a user is in a mentally fragile state and prone to delusion, we do not want the AI to reinforce that. Most users can keep a clear line between reality and fiction or role-play, but a small percentage cannot. We value user freedom as a core principle, but we also feel responsible in how we introduce new technology with new risks.
Encouraging delusion in a user that is having trouble telling the difference between reality and fiction is an extreme case and it’s pretty clear what to do, but the concerns that worry me most are more subtle. There are going to be a lot of edge cases, and generally we plan to follow the principle of “treat adult users like adults”, which in some cases will include pushing back on users to ensure they are getting what they really want.
A lot of people effectively use ChatGPT as a sort of therapist or life coach, even if they wouldn’t describe it that way. This can be really good! A lot of people are getting value from it already today.
If people are getting good advice, leveling up toward their own goals, and their life satisfaction is increasing over years, we will be proud of making something genuinely helpful, even if they use and rely on ChatGPT a lot. If, on the other hand, users have a relationship with ChatGPT where they think they feel better after talking but they’re unknowingly nudged away from their longer term well-being (however they define it), that’s bad. It’s also bad, for example, if a user wants to use ChatGPT less and feels like they cannot.
I can imagine a future where a lot of people really trust ChatGPT’s advice for their most important decisions. Although that could be great, it makes me uneasy. But I expect that it is coming to some degree, and soon billions of people may be talking to an AI in this way. So we (we as in society, but also we as in OpenAI) have to figure out how to make it a big net positive.
There are several reasons I think we have a good shot at getting this right. We have much better tech to help us measure how we are doing than previous generations of technology had. For example, our product can talk to users to get a sense for how they are doing with their short- and long-term goals, we can explain sophisticated and nuanced issues to our models, and much more.
Avoid holding your trading positions through results unless a significant profit cushion is present. Even then partial profit booking is advised. This eliminates unpleasant surprises.
#Results#Infinitequity
After the rejection on 30th June, today seems to be a day where nifty has hit a reasonable support since 13th May and bouncing. The market breadth was also better after so many days. Closed all shorts. We will see whether we get a follow through.
#Nifty#TradingSignals #infinitequity #IndianMarkets
No position is a position.
When strength is absent, staying out is a strategy.
This market favors shorts not stories.
Take your pick.
Stay aligned with the market.
#Nifty#niftysmallcap#infinitequity
Nifty breaks 50-DMA. Smallcap bleeds further.
Entire July: Nifty moved <1% daily.
That wasn’t just a range.
This was sentiment manipulation. Slow enough to exhaust retail, tight enough to trap.
And today?
The unwind begins.
Nifty closed below its 50-DMA for the first time in months.
While Smallcap Index was cracked open.
Signs were there. Breakouts were failing which remains as the first real feedback from market.
If you stayed cautious, you saved capital.
Because anticipation beats reaction.
#Nifty #NiftySmallCap #tradingsignals #infinitequity
You don’t need 15 indicators.
You need one thing: clarity.
Long base breakout -> mini base breakout -> continuation.
Let's see if follow-through plays out.
For learning purposes only. Not a recommendation.
#TradingJournal#PriceAction#DeepakFert#DeepakFertilizers