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> I have funds to invest but every time I look into getting into I cannot bring myself to do it because I cannot stop my brain thinking it's gambling. Without i
by dsacco 9y ago
> I have funds to invest but every time I look into getting into I cannot bring myself to do it because I cannot stop my brain thinking it's gambling. Without insider knowledge I don't understand how I could beat the market short term.
If you have programming skill and a good understanding of statistics, do the following:
1. Identify a subset of equities in the total market which a) have fairly one dimensional revenue streams, b) have a market capitalization of at least ~$1-2B, and c) are not prone to extraordinary hype or tech-centric accounting, such that e.g. a "win" or a "loss" in an earnings announcement is fairly straightforward to understand (and therefore you can more easily, if not perfectly predict how the market will react).
2. Identify a strong, legal source of alternative data that maps directly to the revenue stream of one of these companies. The more difficult to find and collect, the better. Use your programming skills to automate the collection and curation of this dataset.
3. Incubate your dataset for a period of several months, then build it into a timeseries. Using the timeseries, build a model that forecasts the expected revenue of each particular company using historical 10-K and 10-Q documents.
4. For the companies whose data imply a jump in either direction that is very unexpected (according to e.g. the aggregate analyst consensus), take a contrarian position in the equity. If you're feeling very confident and have a higher risk tolerance, study options and take the corresponding derivative position.
5. In particular, establish a target win rate overall, a target tolerable drawdown period overall, and a target exit price (sufficient win or bearable loss) for each position, then follow it.
If you do this correctly and consistently, you will profit significantly and consistently enough that your system will be fully distinguishable from uninformed gambling. To equip you with a bit of meta-analysis here, this outline works because a) all trading strategies profit from finding opportunities to exploit pricing inefficiencies in various securities (or groups thereof), and b) the only way to deliberately identify those opportunities is by having information, access, or techniques that the broader market does not have yet (or else the price would reflect that information).
The great difficulty in this process is finding and analyzing the alternative data in the first place. As a fallback, if you're not confident you can build a trading strategy with this data you can also sell it to hedge funds, who will be very happy to buy it if it actually maps to revenue and is otherwise unknown.
- defen 9y agoTo give a concrete example of what you're describing (one that no longer works) - this is from memory from an earlier discussion here on HN - years ago someone discovered that FedEx tracking numbers for Apple products were essentially serial in nature. In other words, if you ordered an iPhone and got tracking number X, and then a week later you ordered another one and got tracking number X + 500,000, it meant that Apple had sold 500,000 products online in that time period. Turns out that number was highly correlated with Apple earnings. The person in question claimed to have sold highly accurate "Apple earnings predictions" to hedge funds for 100K-200K per quarter per hedge fund.
- dsacco 9y agoIf I recall correctly, I was the person talking about this, barely a week ago :) https://news.ycombinator.com/item?id=16291194 https://news.ycombinator.com/item?id=16291194
- defen 9y agoFunny. I was recalling a conversation from even further back, but I don't recall who it was. Might have been you!
- mrchicity 9y agoAwesome post and your meta-analysis rings true even on tiny time horizons. Years ago I traded energy futures and we hired someone away from a rival. He knew a trick for seeing crude oil price changes on CME a few milliseconds before they sent the updates in their data feed. For a brief period we were printing money across the energy complex, but eventually it stopped working well. The guy who taught us the trick jumped from firm to firm, many others independently learned it, and it became the worst kept secret in trading: https://outline.com/MHp6Yu https://outline.com/MHp6Yu If you've done this earnings forecasting yourself, how much size can you trade before the market moves enough to make the risk/reward unfavorable? For a retail guy it's probably not an issue, but curious if major funds are doing it at scale. How does selling to hedge funds work when the information is valuable only insofar as few others have it? I suppose you could have an exclusivity contract but there's a strong incentive to sell to multiple buyers. Is it more of a relationship/reputation type setup? Are there brokers of some sort that help filter disreputable sellers out?