On Page 134, he lists the following when analyzing a deal:Sales Price: $132,490.00Sales Expenses: $17,000.00Loan Balance: $55,004.72Total Invested Capital: $35,950.00Profit: $24,535.28I agree with his thought process here when he calculates net profit, but I'm trying to verify the net profit by adding up all the sources of income over the past five years in his example by doing the following:Appreciation over five years=$12,490 (see chart on Page 133).Cash flow ($297.73x12x5)=$17,863.80 over five years.Loan paydown: ($60,000-55,004.72)=$4,995.28 over five years.Sales Expenses are still $17,000.Doing the math, profit= $12,490+$17,863.80+$4,995.28-$17,000=$18,349.08There is a $6,186.20 difference from the net profit he calculates.My question is: Is this $6,186.20 difference due to the forced appreciation gained in the property from the rehab he does in this example?

Through PHA sources, the article indicates the renovation will cost $112M, twice the initial budget.

She has a higher FICO score but full of eviction records which I was aware after she moved in and was late for the first time by using another public data source.

(If you did this, obviously, you would have to cover those needs, when they arise with money from other sources.)I imagine my beginner perspective is probably inaccurate in several ways.

Because that money is inheritance and not from W2 or a reoccurring source, you really cannot bank on that.

I understand that AirDNA shouldn't be the sole source of data.

If you're unable to find comps within a 3 year time frame, I'm interested to know what your other search parameters typically are ( sq. ft. range, bed/bath count/ etc. ) , and also the locations you are unable to source these comps. 

I'd say forget the AI buzzword hype and go back to programming something useful based on real transaction-level data like below (that can help you with any deal you find, from whatever source you have).Sales Comps & ARV estimate:Market Stats:AI won't be able to provide you anything close to this, nor does the RedFin/Zillow market data drill down into the market as deep as I do here.Additionally, if you understand how the leading LLM's work based on a black-box floating point matrix, you just can't trust their conclusions like you can with your own program.

When you have unscheduled entry as an option, I think it encourages them to do weird stuff like hide stuff in weird spots, etc because they are always on guard.Hoarders clauses would have to be linked to fire codes I think for excess people and materials near fire sources, etc.

They started the business from scratch in 2003 with a combination of wholesaling, fix-and-flips, and non-conventional financing sources like private lending, seller financing, and lease options—which remains their expertise today.If you had one question for a professional real estate investor who retired themselves by 37, what would it be??