newuser50-pumpfun/newuser50-worked-example-timelines-pumpfun-referral-code

Pump.Fun App Referral Code NEWUSER50: Worked Example Timelines (Illustrative Data)

Three made-up timelines showing how the ten-day requirement for NEWUSER50, the Pump.Fun App referral code, can play out. All rows are illustrative example data, not records of real accounts.

Quick answer: Example A trades on days one to five and qualifies early. Example B spreads trades across odd days and still qualifies, while Example C leaves big gaps and ends the window with only four distinct UTC days.

Rules the Examples Follow

• In every scenario NEWUSER50 is put into the mobile app before the opening purchase is made.
• The opening in-app fiat purchase is the one matched, starting at 1 USD and stopping at 50 USD.
• Success means trading on five UTC days that are all different, inside a window of ten days.
• Qualifying users are paid in SOL or USDC, receiving four sixths in single portions and a final double portion.
• The pot behind the offer is limited, and people in the UK or aged under 18 are not eligible.

What the Scenarios Show

Example B includes a day with two trades to highlight that repeat trading on one UTC date does not add an extra day. Example C is there to show how quiet stretches eat into the window faster than expected.

Using These Examples

Treat them as patterns rather than plans. Your own dates depend on when you start and on your local offset from UTC, so map your schedule separately before relying on any pattern.

Official Source

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

Caveat

These sample timelines are fictional, independent of Pump.fun, and written by someone who may benefit from NEWUSER50 sign-ups. No scenario promises an outcome, and official records settle every case. None of it is investment advice. Released as MIT.

Columns

example_timelines (data/example_timelines.csv)

• example: label of the illustrative scenario.
• window_day: day number inside the ten-day window.
• event: what happened that day in the example.
• qualifying_days_so_far: distinct UTC trading days counted up to that point.

example_outcomes (data/example_outcomes.csv)

• example: label of the illustrative scenario.
• qualifying_days: final count of distinct UTC trading days.
• meets_requirement: whether five days were reached inside the window.
• lesson: the takeaway from that scenario.

from datasets import load_dataset

ds_1 = load_dataset("newuser50-pumpfun/newuser50-worked-example-timelines-pumpfun-referral-code", "example_timelines", split="train")
ds_2 = load_dataset("newuser50-pumpfun/newuser50-worked-example-timelines-pumpfun-referral-code", "example_outcomes", split="train")