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Risk tolerance

As explained in Investing for Programmers

Risk tolerance is the degree of investment uncertainty or potential loss an investor is willing and able to accept.

Risk tolerance is the degree of investment uncertainty or potential loss an investor is willing and able to accept without undue stress. It turns personal limits into a practical constraint on investment strategy. section 1.2

Assess risk tolerance alongside the conditions that make a strategy sustainable:

  • Estimate the potential loss you can handle without stress, rather than treating risk as an abstract percentage. section 1.2
  • Set financial goals and a time frame before choosing an investment strategy. section 1.2
  • Include the time required to monitor and manage the strategy; a demanding portfolio may be unsuitable even when its returns look attractive. section 1.2
  • Account for behavior during market stress: fear, FOMO, and sleeplessness can push investors toward undisciplined decisions. section 7.3.1 section 7.5.1

Risk tolerance does not identify one universally best strategy. It helps match exposure to an investor’s financial foundation, behavior, goals, and willingness to accept uncertainty. section 7.3.2 section 1.6

Balancing stable and speculative exposure

An investor who places 80% of a portfolio in index funds and 20% in high-risk assets limits the damage from a total loss in the speculative portion. Staged investing can preserve that ratio while adding smaller amounts to emerging technologies during periods of high income. section 7.4.4

Risk tolerance also informs risk reduction. Index funds and dollar-cost averaging can reduce concentration and timing pressure, while investing in understandable businesses and applying a margin of safety can make risks easier to assess. section 7.3.2

“I have a computer science background. I have 
worked on various digital transformation projects 
for multiple companies. I understand well how AI 
can change companies' businesses. I am looking  #1
for companies' stocks that might be transformed 
through AI but have not yet been overrun by 
investors.                                           

I aim to achieve financial independence within the 
next five years. I have approximately 500,000 USD 
available for investment. I want to be able to    #1
calculate the money I make passively, considering 
the average yield of my assets (interest, staking 
rewards, and dividends).                             

I mainly hold stocks and ETFs. I also have bonds 
and crypto. I want to keep some amount in index 
funds.                                              #2

I am interested in the future of autonomous 
driving and the monetization of climate change 
mitigation. I also believe in the increasing demand 
for reliable, nonvolatile energy sources, such as  #3
nuclear energy, driven by the growing need for 
sustainable energy solutions. I am also open to 
alternative sources of energy, including atomic 
energy.                                            

I use Interactive Broker and Alpaca as brokers. 
I use cold wallets to store cryptocurrency.        #3

I have uploaded a text file with all the stocks 
I hold. It is called stocks.txt and shall be       #3
included in the research if needed.                

I can take risks if decisions have been thoroughly 
researched. If the valuation of the asset is 
temporarily lower, I have no problem as long as 
I see long-term potential. I am okay with shorting  #4
some positions, but I prefer long-term quality 
investing. I do not do day trading.                    

I want to diversify. Diversification also includes 
assets worldwide, as I see political risks in the US.   #4
Otherwise, I am fine with holding most assets in the 
US market.                                             

I am a US American citizen. My tax residency is in 
the UK. I want to minimize the taxes I have to pay.   #5

I do not like to invest in the tobacco industry 
and companies that ignore animal rights.   #6

Use a structured investor profile to record goals, available capital, current holdings, desired passive income, and preferred speculative themes before asking an LLM for portfolio research. section 8.4.1

How Investing for Programmers covers it

How deep it goes
Explains personal assessment, behavioral constraints, allocation examples, and risk-reduction tactics, but does not prescribe a universal portfolio.
Examples
Uses index funds, dollar-cost averaging, an 80/20 portfolio, emerging technologies, investor profiles, and market-stress behavior.
What it assumes
Assumes basic awareness of assets and investing while teaching risk limits, goals, time commitments, and behavioral considerations from practical examples.
What you can do after
Evaluate investment strategies, portfolio allocations, and AI prompts against personal loss limits, goals, behavior, and time constraints.
How it connects
Connects to financial goals, investment strategy, index funds, dollar-cost averaging, value investing, margin of safety, and investor profiles.

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Related concepts

This explainer was generated by Manning's knowledge graph from the text of Investing for Programmers. The section links point to the parts of the book it draws on.