I look at the high-frequency weekly indicators because while they can be very noisy, they provide a good nowcast of the economy and will telegraph the maintenance or change in the economy well before monthly or quarterly data is available. They are also an excellent way to "mark your beliefs to market." In general, I go in order of long leading indicators, then short leading indicators, then coincident indicators.
Data is presented in a "just the facts, ma'am" format with a minimum of commentary so that bias is minimized.
Where relevant, I include 12-month highs and lows in the data in parentheses to the right. All data taken from St. Louis FRED unless otherwise linked.
A few items (e.g., Financial Conditions indexes, regional Fed indexes, stock prices, and the yield curve) have their own metrics based on long-term studies of their behavior.
Where data is seasonally adjusted, generally it is scored positively if it is within the top 1/3 of that range, negatively in the bottom 1/3, and neutrally in between. Where it is not seasonally adjusted, and there are seasonal issues, waiting for the YoY change to change sign will lag the turning point. Thus I make use of a convention: data is scored neutral if it is less than 1/2 as positive/negative as at its 12-month extreme.
With long leading indicators, which by definition turn at least 12 months before a turning point in the economy as a whole, there is an additional rule: data is automatically negative if, during an expansion, it has not made a new peak in the past year, with the sole exception that it is scored neutral if it is moving in the right direction and is close to making a new high.
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