I'm the founder of Tiingo and just saw a huge influx of users! Thank you HN!
I 100% agree with you. The podcasts are there for educational purposes and I try my best to emphasize the limits of quantitative modeling and backtesting. I was a former quant trader and saw experienced people make the same mistakes.
My goal on the site is therefore give tools, but not recommendations. It's the reason I don't associate with brokerages either, I want the data to be unbiased as possible.
My hope is that newcomers and experienced individuals alike come onboard and listen to the podcasts that emphasize just this.
In terms of pricing strategy, I will be enforcing a minimum $1/month floor coming in the next couple weeks.
But either way, people deserve so much better and I'm going to try my best to make sure the tools and information remain intellectually honest.
-Rishi
I'm a current student so please forgive my naiveté of any real-world implementations.
You mentioned "My goal on the site is therefore give tools, but not recommendations."
Do you have any plans to offer portfolio construction tools? I took a portfolio construction class which used Andrew Ang's book as a theoretical basis and was struck at how simple it appeared to create [insert weighting scheme here] portfolios.
I think though a platform could go a step further and demonstrate how to execute different strategies that appear to be only executable by hedge funds. i.e. can you show [insert publicly-tradable assets] which when bought together appear to replicate a hedge fund's beta (maybe not HFRI but some sort of market-neutral beta)?
I dunno it just feels there's a lot that can be done to remove the mysticism from wealth management and open data is just the beginning of such a movement.
E-trade arguably does just as much damage, letting an average end user (who often lacks the industry experience of both the financial industry as well as the company in which they choose to invest) throw their money into anything. A VC once said he knew the Web 1.0 boom was over when his cabbie told him to invest in Cisco.
I, for one, think that the Bloomberg reign -of-terror can't end soon enough. They're as bad as Elsevier in monopolizing information. Information can be used properly or improperly in any context[1]. You want to see some real damage? Give that demographic access to Q/KDB+ and let them underwrite a 20x inter-day margin with their mortgages.
[1]Go to any o-chem forum and you'll see tons of graduate students talking about research chemical drug synthesis techniques, precursor availability, ways around DEA watched-chemical lists, etc. It's vaguely masked in their own lexicon, but it's plain as day.
Edit: By throwing away ones 401k, I meant "cashing out their 401k and effectively gambling on a handful of stocks". Low-load / no-load 401k's and (Roth) IRAs are way safer prospective investments often with useful tax benefits. I keep my 401k with Vanguard and they explicitly say "Very few Vanguard funds charge fees when you buy and sell shares. The fees are designed to help those funds cover higher transaction costs and protect long-term investors by discouraging short-term, speculative trading." which is a mentality that most people should adopt. https://investor.vanguard.com/mutual-funds/fees
I don't understand this opinion, and want to.
Bloomberg work with 3rd party data that's licensed not only to them, but multiple other platforms too. Elsevier monopolise sources so they're the only publisher.
A lot of data on Bloomberg is public, just organised in a really familiar (to Bloomberg users) UI.
Getting into detail: A lot of data in markets is simply inaccessible on any platform (hidden orders, etc), and some data services try to discover this, but that's not like an academic journal monopolising papers.
Besides HistData I have never been able to find even high granularity intraday FX data. Price data is non trivial to find
Plus, successful traders have an interest in keeping the barrier to entry as high as possible--if you're making a few million a year not only can you afford to pay $5k for the data, you might prefer it cost $50k.
Not really? I mean, sure, maybe a few are, but on the whole 401(k) returns are actually shockingly good considering the level of control people have over them. Default target-date funds work really well.
This seems like a very weird pricing strategy on the one hand and a very weird charitable strategy on the other.
Frankly, the last thing poor people need is free access to high-end stock trading tools so they can piss away their money on losers and transaction fees.
This seems about the same as offering poor people free rides to the gas station so they can buy a lottery ticket. I mean, you're giving them a free ride, but to what end?