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Crypto Investing Without the Hype: Wallets, Exchanges, Security, and Risk

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10 pages

Risk Management for Crypto Investing: Position Sizing, Diversification, and Exit Rules

Capítulo 8

Estimated reading time: 10 minutes

+ Exercise

Risk management is the skill that keeps you in the game

Crypto markets can move fast, gap up or down, and stay irrational longer than your patience. Risk management is not about predicting prices; it is about deciding in advance how much you can lose, where losses stop, and how you will act when volatility spikes. If you can survive the bad weeks, you give yourself the chance to benefit from the good months.

Think in three layers:

  • Position sizing: how big each bet is.
  • Diversification: how your bets relate to each other.
  • Exit rules: what you do when price moves (up or down) so emotions do not drive decisions.

Position sizing: simple rules that prevent catastrophic losses

Rule 1: Only invest what you can afford to lose (define it as a number)

This rule is often repeated but rarely quantified. Convert it into a concrete “risk budget” so you can act consistently.

  • Step 1: Choose a maximum portfolio loss you could tolerate without changing your life (for example, 5%, 10%, or 20% of the money you set aside for investing).
  • Step 2: Convert that into dollars (or your base currency). Example: if your crypto allocation is $10,000 and you can tolerate a 15% drawdown, your risk budget is $1,500.
  • Step 3: Treat that risk budget as a hard constraint. If you are already down near that amount, you reduce risk rather than “making it back” with bigger bets.

Rule 2: Cap exposure per asset (avoid single-point failure)

Even strong projects can face unexpected events: exchange delistings, regulatory shocks, hacks, governance drama, or liquidity issues. A per-asset cap prevents one mistake from dominating your results.

Practical caps beginners often use:

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  • Core asset cap: 10%–25% maximum in any single asset (choose the range based on how concentrated you want to be).
  • Higher-risk asset cap: 1%–5% maximum per smaller or newer asset.
  • Total “high-risk bucket” cap: 10%–30% of the portfolio reserved for speculative positions, with the rest in more established holdings and/or cash/stablecoins.

Step-by-step sizing method (simple):

  • Step 1: Decide your total crypto portfolio size (e.g., $10,000).
  • Step 2: Decide your per-asset cap (e.g., 15% for core assets, 3% for speculative).
  • Step 3: Multiply to get maximum position sizes: core max = $1,500; speculative max = $300.
  • Step 4: If you want to buy more than the cap, you must either (a) increase the portfolio size, or (b) sell something else, or (c) accept you are breaking your own risk rules.

Rule 3: Avoid leverage as a beginner (volatility already provides it)

Leverage (margin, perpetual futures, leveraged tokens) magnifies both gains and losses and introduces liquidation risk. In crypto, large intraday swings can liquidate a leveraged position even if your long-term thesis is correct.

  • Beginner default: no leverage.
  • If you are tempted: write down what you think leverage will solve (usually impatience). Then reduce position size instead of adding leverage.

Position sizing with stop conditions (optional but structured)

If you use a stop condition (a price level or a thesis invalidation point), you can size positions based on how much you are willing to lose on that specific trade.

Example: You are willing to lose $100 on a position. You plan to exit if price drops 10% from your entry. Then your position size is $100 / 0.10 = $1,000. If that exceeds your per-asset cap, you either accept a smaller position or choose a tighter stop condition you can actually follow.

Risk per position ($) / Stop distance (%) = Position size ($)

Important: stops are not guaranteed fills in fast markets; treat this as a planning tool, not a promise.

Diversification: reduce avoidable risk without creating a messy portfolio

What diversification can and cannot do in crypto

Diversification helps when assets behave differently. In crypto, many assets become highly correlated during market stress (they fall together). That means diversification is still useful, but you must be realistic about its limits.

  • Helps with: project-specific blowups, idiosyncratic news, liquidity issues in a single token.
  • Does not fully protect against: broad market sell-offs, macro risk-off events, or sector-wide contagion.

Practical constraints: correlation, too many small positions, concentration risk

Correlation during stress: If your portfolio is 12 different altcoins, you may not be diversified; you may be concentrated in the same risk factor.

Too many small positions: A portfolio with 30 tiny positions is hard to track, rebalance, and exit. Complexity is a risk.

Concentration risk: Holding one asset at 60% because “it’s the best” can work until it does not. Concentration should be a deliberate choice, not an accident.

A simple diversification framework (choose one and stick to it)

Framework A: Core + Satellite

  • Core (60%–90%): 1–3 major assets you are willing to hold through volatility.
  • Satellite (10%–40%): 3–8 smaller positions with strict caps and clearer exit rules.

Framework B: Risk buckets

  • Bucket 1 (lower risk within crypto): established assets with deep liquidity.
  • Bucket 2 (medium risk): sector leaders, but more volatile.
  • Bucket 3 (high risk): small caps, new narratives, thin liquidity.

Step-by-step to build a diversified set without overdoing it:

  • Step 1: Pick a maximum number of holdings (e.g., 8 total).
  • Step 2: Assign each holding to a bucket and set a max % per bucket.
  • Step 3: Enforce per-asset caps so no single satellite dominates.
  • Step 4: If you want to add a new asset, you must remove or reduce another (a “one-in, one-out” rule).

Entry and exit rules: a written plan that replaces impulse

Most losses are not caused by a bad idea; they are caused by inconsistent execution. Entry and exit rules turn investing into a repeatable process.

Define your entry: planned buys instead of emotional buys

Method 1: Staged purchases (simple DCA with rules)

  • Step 1: Decide the total amount you want to allocate to an asset (must be within your cap).
  • Step 2: Split it into 3–6 tranches (e.g., 25% each across 4 buys).
  • Step 3: Define triggers for each tranche, such as time-based (weekly) or price-based (buy more if price drops X% from last buy).
  • Step 4: If price runs away upward before you finish, do not chase; you either stick to the schedule or skip remaining tranches.

Example (price-based staging):

TrancheTriggerAmount
1Initial entry25%
2-8% from last buy25%
3-8% from last buy25%
4-8% from last buy25%

Method 2: “Only buy on red days” rule (behavioral guardrail)

  • Define “red day” as a down day on your chosen timeframe (e.g., daily close down 2%+).
  • Buy only when the rule is met. This reduces the urge to buy into excitement.

Define your exits: profit-taking and stop conditions

Exits should be pre-written. You can adjust them later, but you should not invent them mid-panic or mid-euphoria.

Profit-taking strategies (pick one):

  • Target ladder: sell portions at predefined gains (e.g., sell 20% at +30%, 20% at +60%, 20% at +100%).
  • Rebalance-based: if an asset grows beyond its cap (e.g., exceeds 20% of portfolio), trim back to target.
  • Time-based: if thesis is long-term, take partial profits at set intervals (quarterly) rather than reacting to every spike.

Stop conditions (not just price stops):

  • Price stop: exit if price closes below a level you defined (helps avoid reacting to intraday noise).
  • Thesis stop: exit if a specific assumption becomes false (e.g., key metric deteriorates, major change in token economics, persistent loss of liquidity).
  • Process stop: exit if you realize you cannot follow your own rules (e.g., you keep checking price every 5 minutes and making impulsive changes).

Step-by-step: write an exit plan before you buy

  • Step 1: Write your reason for buying in one sentence.
  • Step 2: Write what would prove you wrong (thesis stop).
  • Step 3: Choose a profit-taking method (ladder or rebalance).
  • Step 4: Choose a maximum loss you will accept on this position (must fit your risk budget).
  • Step 5: Decide how you will execute exits (e.g., limit orders placed in advance, or a weekly review where you place orders calmly).

Managing cash and stablecoin allocation (and why it reduces mistakes)

Holding some cash/stablecoins is not “missing out”; it is optionality. It lets you buy dips without selling in panic, and it reduces the pressure to chase moves.

How to choose a cash/stablecoin allocation

Instead of a single perfect number, use a rule that matches your volatility tolerance.

  • Conservative approach: keep 30%–60% in cash/stablecoins if you are new or if you lose sleep during drawdowns.
  • Moderate approach: keep 10%–30% in cash/stablecoins to fund staged buys and rebalancing.
  • Aggressive approach: keep 0%–10% in cash/stablecoins only if you have strong discipline and can tolerate large drawdowns.

Step-by-step “cash buffer” rule:

  • Step 1: Set a minimum cash/stablecoin floor (e.g., 20%).
  • Step 2: Only deploy cash when your entry rules trigger (staged buys, red days, or rebalancing).
  • Step 3: Refill the cash buffer by trimming positions after large run-ups or when allocations exceed caps.

How to avoid chasing pumps (a practical checklist)

Chasing is usually a process failure: you are reacting to price instead of following a plan. Use a short checklist before any buy that happens after a sudden spike.

  • Cooling-off rule: if an asset is up more than X% in 24 hours (choose X, e.g., 15%–25%), you must wait 24 hours before buying.
  • Cap rule: if buying now would exceed your per-asset cap, you cannot buy.
  • Tranche rule: if you buy, it must be the smallest tranche size, not the full intended position.
  • Source rule: if your reason for buying is “everyone is talking about it,” you do not buy.

Replacement behavior: when you feel the urge to chase, place a limit order at a price you would be happy with (often below current price) or add it to a watchlist for your next scheduled review.

Rebalancing: turning volatility into a routine

Rebalancing is a rule-based way to reduce concentration after big rallies and add to underweight positions without guessing tops or bottoms.

Two beginner-friendly rebalancing methods

  • Threshold rebalancing: rebalance when an asset deviates from its target by more than a set amount (e.g., ±5 percentage points).
  • Calendar rebalancing: rebalance on a schedule (monthly or quarterly) and ignore noise in between.

Example: Target allocation for Asset A is 15%. If it grows to 22%, you trim back to 15% and move the difference to cash/stablecoins or underweight assets.

Fill-in template: your personal risk plan

Copy this template into a note and fill it out. The goal is to make decisions once, calmly, and then follow the plan.

1) Risk budget

  • Total crypto portfolio size: ________
  • Maximum portfolio drawdown I can tolerate: ________% (or ________ amount)
  • Maximum loss per position (optional): ________% (or ________ amount)

2) Position sizing rules

  • Maximum % in any single core asset: ________%
  • Maximum % in any single speculative asset: ________%
  • Total speculative bucket maximum: ________%
  • Leverage rule: (e.g., “No leverage.”) ________

3) Diversification constraints

  • Maximum number of holdings: ________
  • Core holdings (1–3): ________
  • Satellite holdings (3–8): ________
  • One-in, one-out rule: (Yes/No) ________

4) Entry plan (planned buys)

  • Default entry method: (Time-based staging / Price-based staging / Red-day rule) ________
  • Number of tranches per new position: ________
  • Tranche triggers: ________
  • Cooling-off rule for big up-days: (e.g., wait 24h if +20% in 24h) ________

5) Exit plan (profit-taking + stop conditions)

  • Profit-taking method: (Target ladder / Rebalance-based / Time-based) ________
  • Profit targets or rebalance thresholds: ________
  • Stop condition (price): ________
  • Stop condition (thesis): ________
  • Execution rule: (e.g., “Place limit orders during weekly review.”) ________

6) Cash/stablecoin allocation rules

  • Minimum cash/stablecoin floor: ________%
  • When I deploy cash: ________
  • When I rebuild cash: ________

7) Rebalancing triggers

  • Method: (Threshold / Calendar) ________
  • Threshold: (e.g., ±5 percentage points) ________
  • Schedule (if calendar): ________

8) “If-then” plan for high-volatility days

  • If the market drops more than ________% in 24 hours, then I will ________ (e.g., do nothing for 12 hours, review positions against thesis stops, deploy only one tranche if rules trigger).
  • If an asset I hold pumps more than ________% in 24 hours, then I will ________ (e.g., trim to cap, move proceeds to cash floor, do not add).
  • If I feel the urge to break my rules, then I will ________ (e.g., step away, wait 24 hours, re-read my risk budget, place a limit order instead of market buying).
  • If my portfolio drawdown reaches ________% (or ________), then I will ________ (e.g., stop new buys for 30 days, reduce speculative bucket, reassess position sizes).

Now answer the exercise about the content:

Which action best reflects a rule-based approach to avoiding pump-chasing while staying within a risk plan?

You are right! Congratulations, now go to the next page

You missed! Try again.

A written process can reduce impulsive buys. A cooling-off rule, a per-asset cap, and using only the smallest tranche are specific guardrails that help avoid chasing sudden spikes.

Next chapter

Operational Discipline: Recordkeeping, Taxes, and Staying in Control

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