newuser50-pumpfun/newuser50-partial-completion-outcomes-pumpfun-referral-code

Pump.Fun App Referral Code NEWUSER50: Outcomes When You Finish with Fewer Than Five Trading Days

An outcomes table for NEWUSER50 on the Pump.Fun App that shows what finishing the window with fewer than five trading days means for unlock.

Quick answer: Counts from zero through four do not meet the unlock rule. Only five distinct UTC trading dates inside the ten-day window satisfy it. Extra trades on a single date never invent a second day.

Reading the Day Counts

Each row is a finished-window day count, not a mid-window progress score. If the window has closed and you hold four days, the unlock condition is still unmet. Plan backups earlier so a single missed date does not leave you at four.

Rules These Outcomes Rest On

• Place NEWUSER50 in the Pump.Fun mobile app before buying.
• Match covers the first in-app fiat purchase between 1 USD and 50 USD.
• Five different UTC dates of trading inside ten days are required to unlock.
• After unlock, drops pay 1/6 four times and 2/6 once in SOL or USDC.
• The offer is budget-limited and unavailable to UK users and under-18s.

Partial FAQs

The second table answers frequent questions about near-misses. Treat the five-day rule as binary for unlock unless official documentation states otherwise.

Official Source

• Pump.fun documentation on referral rewards: https://pump.fun/docs/referral-rewards

Disclosure

These outcome notes are an unofficial explainer, separate from Pump.fun, and the author may benefit when people sign up with NEWUSER50. The official documentation overrides anything here. This is not financial advice. Released under the MIT license.

Columns

outcomes_by_days (data/outcomes_by_days.csv)

• trading_days_completed: how many distinct UTC trading dates you finished with.
• meets_unlock: whether the five-day requirement is satisfied.
• typical_outcome: what the day count implies for unlock.
• practical_note: short guidance for that count.

partial_faqs (data/partial_faqs.csv)

• question: a common partial-completion question.
• answer: the rule-based reply used here.

from datasets import load_dataset

ds_1 = load_dataset("newuser50-pumpfun/newuser50-partial-completion-outcomes-pumpfun-referral-code", "outcomes_by_days", split="train")
ds_2 = load_dataset("newuser50-pumpfun/newuser50-partial-completion-outcomes-pumpfun-referral-code", "partial_faqs", split="train")