1. Position Size
01Definition
Position size is how much capital you allocate to a trade.
02Why it matters
Meme-token risk is often nonlinear. Thin liquidity can turn a normal-sized trade into a difficult exit.
03What to check
- Maximum acceptable loss
- Token liquidity
- Market cap
- Volatility
- Exit capacity
04Healthy / Dangerous
Healthy
Planned exposure reflects acceptable loss and executable exit capacity.
Dangerous
Size grows from excitement while liquidity remains thin.
05Beginner mistake
Sizing only from conviction.
06Takeaway
Position size should reflect risk and liquidity, not excitement.
Use reported liquidity as context for your own risk plan. Meme Fast does not calculate a suitable position or executable exit.
2. Stop Loss
01Definition
A stop loss is a predefined condition for exiting a losing position.
02Why it matters
It prevents one trade from becoming an uncontrolled loss.
Meme-specific issue
Thin markets can move through a stop level quickly or trigger it on brief volatility.
03What to check
- Liquidity
- Volatility
- Position size
- Whether the stop is price-based or thesis-based
04Healthy / Dangerous
Healthy
An exit condition is paired with realistic execution assumptions.
Dangerous
A trigger price is treated as a guaranteed fill or loss cap.
05Beginner mistake
Treating a stop trigger as a guaranteed execution price or maximum loss.
06Takeaway
A stop is useful only if the market can execute your exit.
3. Scaling In
01Definition
Scaling in means entering a position in smaller pieces rather than all at once.
02Why it matters
It reduces the risk of committing all capital at a poor entry.
03What to check
- Planned entry zones
- Maximum total position
- What evidence justifies each additional buy
04Healthy / Dangerous
Healthy
Every addition has stated evidence and a maximum total exposure.
Dangerous
Repeated averaging down quietly exceeds the original risk plan.
05Beginner mistake
Calling repeated averaging down "scaling in" without a plan.
06Takeaway
Every additional entry should have a reason.
4. Scaling Out
01Definition
Scaling out means selling a position in stages.
02Why it matters
It allows you to realize gains while retaining exposure if the move continues.
03What to check
- Profit targets
- Liquidity
- Remaining thesis
- Major resistance areas
04Healthy / Dangerous
Healthy
Planned reductions consider executable quotes and remaining exposure.
Dangerous
Targets exist on paper but position size overwhelms available buyers.
05Beginner mistake
Planning profit targets without checking whether the intended sale can execute.
06Takeaway
You do not need to predict the exact top to exit well.
Review observed demand and trade sizes as exit context. Plan actual quantities and executable quotes separately.
5. Taking Initial Capital Out
01Definition
This means selling enough after a favorable move to recover some or all of your original capital.
02Why it matters
It reduces the amount of principal still exposed.
03What to check
- Proceeds after fees and other execution costs
- Original amount invested
- Remaining position value
- Remaining liquidity and exit conditions
04Healthy / Dangerous
Healthy
Recovered proceeds are tracked after costs and remaining exposure is reviewed.
Dangerous
The remaining position is called risk-free and ignored.
05Beginner mistake
Assuming the remaining position is risk-free; it can still lose value.
06Takeaway
Recovering principal changes your risk, not the token's risk.
6. Risk / Reward
01Definition
Risk/reward compares what you may realistically lose with what you may realistically gain.
02Why it matters
A token with huge theoretical upside may still be a poor trade if downside is immediate and exit liquidity is weak.
03What to check
- Entry
- Invalidation
- Realistic target
- Liquidity
- Probability of each outcome
04Healthy / Dangerous
Healthy
Compare plausible outcomes with invalidation, costs, and execution constraints.
Dangerous
An extreme theoretical target hides immediate downside or a difficult exit.
05Beginner mistake
Using 100x as the target simply because another meme once achieved it.
06Takeaway
Potential upside is only one side of the trade.
7. Survivorship Bias
01Definition
Survivorship bias occurs when traders focus on the tokens or wallets that succeeded and ignore the many that failed.
02Why it matters
Looking only at famous 50x or 100x winners makes meme trading appear easier than it is.
03What to check
- Full trading history
- Failed launches
- Losing wallets
- Tokens that never recovered
04Healthy / Dangerous
Healthy
Review losers and failed launches alongside visible winners.
Dangerous
Only exceptional winners are used to judge how easy the strategy is.
05Beginner mistake
Learning only from winning tokens and visible profitable wallets.
06Takeaway
Winners are visible; failures disappear.
8. Exit Strategy
01Definition
An exit strategy defines when and why you will reduce or close the trade.
02Why it matters
Written exit conditions give you a way to respond when the evidence or your acceptable exposure changes.
03What to check
- Conditions for reducing or closing
- Position size and executable quotes
- Evidence that would invalidate the thesis
- How remaining exposure changes after partial exits
Possible triggers
- Target reached
- Thesis broken
- Major holder distribution
- Liquidity deterioration
- Narrative failure
- Better opportunity elsewhere
04Healthy / Dangerous
Healthy
Reasons to reduce or leave are written before entry and reviewed as evidence changes.
Dangerous
An entry plan is detailed but the exit depends on emotion or new hype.
05Beginner mistake
Planning the entry in detail but leaving the exit to emotion.
06Takeaway
Know what makes you leave before you enter.
Review changes in observed flow for an exact contract, then compare them with your written exit conditions.
9. Entry Liquidity vs Exit Liquidity
01Definition
Entry liquidity determines how easily you can build a position. Exit liquidity determines how easily you can leave later.
02Why it matters
A token may be easy to buy during hype and very difficult to sell after attention disappears.
03What to check
- Current buy and sell quotes for the intended size
- Fees and price impact
- Pool coverage and depth
- How demand could change before exit
04Healthy / Dangerous
Healthy
Entry quotes and possible exit conditions are assessed separately.
Dangerous
Easy buying during hype is assumed to imply easy selling later.
05Beginner mistake
Assuming easy buying during hype means equally easy selling later.
06Takeaway
Always ask who will buy from you later.
Compare current flow and pool coverage as context; validate intended buy and sell quantities with executable quotes elsewhere.
10. The Core Meme-Trading Question
01Definition
A research question connecting ownership, entry cost, current behavior, and future demand.
Before every trade, ask:
Who owns the supply, what did they pay for it, what are they doing now, and who will buy it from them?
That question connects:
- valuation
- liquidity
- ownership
- bundles
- wallet behavior
- price action
- narrative
- risk management
02Why it matters
A price move alone does not tell you who can sell or what demand could absorb that inventory.
03What to check
- Who controls sellable supply
- What is known about their cost basis
- What their balances and trades show now
- Current liquidity and evidence of demand
04Healthy / Dangerous
Healthy
Connect ownership, cost, current behavior, and demand using traceable evidence.
Dangerous
A compelling chart replaces unanswered questions about supply and exit capacity.
05Beginner mistake
Asking only whether the price can go up.
06Takeaway
Connect supply, behavior, and exit capacity before drawing a conclusion.
Final 8-Level Framework
Level 1 — Read the Token
Market cap, liquidity, volume, holders, supply, price impact.
Level 2 — Understand the Launch
Bonding curves, graduation, DEXs, snipers, fresh wallets, slippage.
Level 3 — Understand Ownership
Top holders, dev wallets, insiders, bundles, wallet clusters, KOL wallets.
Level 4 — Read Wallets
Cost basis, realized profit, accumulation, distribution, absorption, organic demand.
Level 5 — Read Price Behavior
Base, resistance, breakout, repricing, pullback, panic dump, exit liquidity.
Level 6 — Understand Attention
Narrative, catalysts, social momentum, KOL shilling, rotation, chain narratives.
Level 7 — Detect Danger
Liquidity control, rugs, honeypots, mint/freeze authority, wash trading, hidden distribution.
Level 8 — Trade and Survive
Position sizing, stops, scaling, taking profit, risk/reward, survivorship bias, exits.
Beginner Rule
Do not ask only, "Can this token go up?"
Ask:
Who owns it? Who is buying it? Who is selling it? How much liquidity exists? And who will take the other side when I want to exit?