You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
There are many ways to assess quality of an alpha/signal/strategy without running a full blown backtest. For example for binary signals you can look at event studies/markouts. For continuous signals you can regress future returns on your signal, or ...
... use factor regressions or quintile/decile charts. What these have in common is they measure what you care about, i.e. how good the signal is at predicting future returns.
Monetizing the prediction is the job of portfolio construction (where you trade off alpha vs. risk, costs and constraints).
The backtest is just to make sure that all these parts are working together as expected. In many ways a slow backtest can be a feature, because it discourages you from running hundreds of simulations and optimizing based on the results!
Great thread! What if the factor regression approach show hardly 50% hit rate for next 1-6 months horizon (like most of the textbooks examples) but the backtest on this signal is promising?
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.
