How many of you have cold messaged people on LinkedIn - for referrals, job offers, or information/research? Did you manage to get what you want?
My story: I have extensively used Linkedin to reach out to people, to ask them questions. I got two clients through Linkedin for freelancing projects.
When I was applying for Master's program, I messaged 4-5 people per university per program (totaling about 200+ people).
And out of the 200+ people I messaged, with no mutual connections at all, at least 60-70 replied, spoke, and helped out enthusiastically responding to any question I had. At least 20 of them were very sweet and very patient with everything.
Through cold messaging, I even managed to get a referral for a job. Back when I was researching hedge funds and HFT firms, I cold connected and messaged few quant researchers and HFT developers at Two Sigma, Jane Street, etc., in 2018 and they were kind enough to respond.
What we need to understand about cold messaging is, not everyone will respond. We need to maximize our message and our style of reaching out for opens and replies. If you message 100 people, and 10 of them respond and help you out, it beats the hell out of having no guidance.
This is how many messages I have had over the last 4 years. Both types - initiated by me as well as initiated by others. Reaching out via Linkedin, with an actionable message, and with specific questions is far more easier, especially if backed by a credible profile.
While Twitter is great for building in public, if you're a relatively private person, LinkedIn cold messaging still goes a long way. I first send a connection request with a customised message, with one actionable ask. Then if the person accepts, the conversation begins.
The connection request message would be like "Hi Chirag, I am applying for UChicago Math Finance masters, and I had some questions/concerns about the program. Thought I could get in touch with you for this. Can you please help me out with this?"
And, once the person accepts the request, I'd send a follow up message. "Hey, thanks for accepting the connection request. I know it's super random and odd, but I was searching for UC alum and found your profile relevant to talk to. Would this be a good time for a chat?"
If the person responds, I have a list of follow up questions ready to ask, and most people are super nice and ready to respond to these things. These are very small asks and don't take much time for people to respond to. Plus, these things give people a feeling of being helpful.
Kindling that feeling of generosity is why people respond usually to DMs from strangers, especially on Linkedin, since the purpose on LinkedIn is usually clear, especially with such specific asks. Once they do you a small favor they are more prone to help with bigger things too.
Like, there was this guy who helped answer some questions about Cabify and eventually he went on to refer me to the company and get me an offer (I eventually declined coz the pay was quite low for the lifestyle cost in Madrid).
You get the drift right? LinkedIn is a high value platform which when leveraged right, will lead to brilliant connections. While there won't be a personal touch, out of hundreds you'll reach out to, one or two will turn out to be friends/mentors which is a huge win.
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The scenario in trading today is not as it was 20 years back. 20 years back systematic or algorithmic trading was almost non-existent. Today it's growing in numbers.
Throughout the last 20-30 years, traders have had to evolve to adapt to the changing technology and market.
It's clear what the next 20 years look like. By next 20 years, almost 90% of global markets will become algorithmic and systematically driven. Already we see discretionary prop funds withering away. Very few are surviving and barely scraping to get by.
How do you prepare yourselves for trading as a lifelong career?
No other go. You have to learn programming, learn math, statistics, and adapt to the moving technology goalposts. Otherwise you will face competition from those who do learn those things.
Get a regular 4-8gb ram laptop/desktop with a good fibernet connection.
Your task is to
- Fetch live tick data from the broker
- Store all the ticks you're able to receive
- Design the storage for efficiency & ease of use
- Also design a separate data store of the same tickdata optimising for speed
- Collect tick data of one instrument and do this.
- Find a way to collect live tick data of multiple instruments.
- Use the stored tick data for backtesting
- Optimise the backtesting process & speed
This also involves optimising the data store. If you're able to accomplish this at scale with your laptop, with say 400-500gb of data over a period of time maybe, you'll acquire the relevant skills along the way to appear for a HFT firm's interview.
1. Bajaj Caliber - hoodibaba ad 2. TVS Victor - Actor vijay's vehicle in a movie 3. Yamaha RX100 / Suzuki 100 4. TVS Star Sport - Surya's vehicle in Sillunu oru Kadhal 5. Yamaha Enticer / Bajaj Avenger 6. Hero Honda Splendor
The bikes I remember fondly of, since I rode them
1. Bajaj Discover 2. Bajaj Pulsar 180 (back when it was introduced, a friend's). 3. Hero Honda Karizma 4. TVS Apache 5. Hero Honda Street 6. Bajaj Sunny
Bajaj used to lead the market in performance oriented vehicles and also had Discover, CT100 and Platina lead the budget segment.
TVS and Honda captured the unisex models market (Activa, Jupiter, Scooty, Pep, etc.,)
After Hero split, they captured the budget bikes market.
If someone has a reliable, successful strategy, they won't share that with anyone. It's not in their best interest to share.
It is very hard to find decent strategies that
- work after little bit of optimisation
- aligns with your trading preferences
- suits your psychology
One must also iterate through testing various systems to arrive at one that's usable.
So, if someone is selling you a system, in all honesty, question their intentions, and question the reliability of the system. It's highly likely that the system doesn't work.
If it works, they can scale up and make more money, they can manage other people's money also.
Or, they can take the strategy to one of the prop trading firms (for ex: Tower Research) and use firm capital to scale up with a profit sharing arrangement with company's infra.
Futures First Jaipur is hiring. The interview will be in the next few weeks. Those who are interested in applying for the market analyst trainee/trader role, DM me.
Few things to note:
1. You must have graduated in or before 2020. 2. The job is usually 12 hours. Typically 1pm to 12am - trading the European and US market timings, products from ICE, NYMEX and few other exchanges. 3. Apply under Jaipur location on the FF careers website.
4. Then, send me your updated resume to raam0093@gmail.com. I'll be forwarding to a friend working there who will screen the resumes and refer the ones that matches their expectations.
Looks like unseen volumes have come into PVR post april.
Usually such volumes are associated with institutions.
If you look at the big drop in march, the volumes aren't that high. Marginally higher than usual/average, but not significantly high enough to consider institutional selling.
But look at the circled region after april. That looks like institutional activity.
Two possibilities:
1. Institutions are betting on PVR as a contrarian bet and accumulating it.
2. Institutions are realising that PVR is junk and selling it to naive retail buyers.