resident evil movie live rank versus weekly Search

resident evil movie hit Google Trends rank 10 on the 2026-09-18T10:01:45Z board. The 1-day rank_change sort returned 25 rows (baseline 2026-09-17T02:01:38Z) and listed it with rank_change 61 from prev_rank 71. Weekly Google Search for resident evil movie scored 34.0 for the Saturday week of 2026-09-12, up 54.55% from 22.0. The 7-day rank_change sort returned 2 rows (baseline 2026-09-11T02:01:29Z) and omitted it. Google Shopping scored 38.0, up 280.0% from 10.0. YouTube scored 42.0, up 23.53% from 34.0. Keyword Google News scored 20.0, down 4.76% from 21.0. A live rank of 10 plus a 1-day climb of 61 can sit next to weekly Search at a series high of 34, while a 2-row 7-day list still misses the token. An HTTP.jl helper that stores board rank next to get_growth lives on Julia Trends API.

How far did weekly Search move while live rank hit 10?

get_growth for resident evil movie on google search tips on 2026-09-12. Live rank 10 is the Friday after that Saturday. The weekly series printed 34.0, not 100. The 1-day mover list caught the token. The 7-day list missed it. Related strings are not the board string.

get_time_series for resident evil movie on Google Search closed at 34 on 2026-09-12, matching get_growth 34.0. Adjacent weeks: 22 on 2026-09-05, 11 on 2026-08-29, 7 on 2026-08-22, 7 on 2026-08-15, 8 on 2026-08-08. Peak in this pull is 34 on 2026-09-12. Earlier local highs were 15 on 2026-05-02, 14 on 2026-07-25, and 11 on 2022-07-23. Tip 34 is the series high, not a mid-range print. A job that waits for weekly Search to hit 100 never sees this rank-10 token. A job that alerts only on 7-day rank_change also misses it, because that sort returned 2 rows.

The franchise string resident evil closed at 20.0, up 25.0% from 16.0, while live rank sat at 10 for the movie phrase. Estimated Search volume on the franchise token was 2,110,000 versus 1,690,000. 3M was 20.0 versus 20.0 (flat). 12M was 20.0 versus 10.0 (+100.0%). YTD was 20.0 versus 16.0 (+25.0%). A job that fills the board token from resident evil 20.0 is reading a different series that is slower on 7D (25.0% versus 54.55%) and lower on the 0-100 scale (20.0 versus 34.0).

resident evil requiem closed at 3.0, flat versus 3.0 on 2026-09-05 and 2026-08-29. 30D was 3.0 versus 4.0 (-25.0%). 3M was 3.0 versus 6.0 (-50.0%). 12M was 3.0 versus 1.0 (+200.0%). YTD was 3.0 versus 2.0 (+50.0%). The game-title token is not the movie board string. Store the exact board string. Do not copy resident evil 20.0 or resident evil requiem 3.0 onto resident evil movie.

POST https://api.trendsapi.ai/api
Authorization: Bearer <api_key>
Content-Type: application/json

{"mode":"get_growth","source":"google search","keyword":"resident evil movie","percent_growth":["7D","14D","30D","3M","12M","YTD"]}

The response envelope is {"statusCode": int, "body": string}. body is a JSON string and must be parsed a second time before reading recent_value.

Did YouTube, News, or Shopping lead Search?

Shopping led on 7D growth. YouTube sat higher on the 0-100 scale. News moved the other way. Related tokens have series. Those are not the board string.

YouTube for resident evil movie tipped 42.0 on 2026-09-12, up 23.53% from 34.0, while Search rose 54.55% to 34.0. 14D and 30D were both 42.0 versus 24.0 (+75.0%). 3M was 42.0 versus 26.0 (+61.54%). 12M was 42.0 versus 20.0 (+110.0%). YTD was 42.0 versus 24.0 (+75.0%). YouTube 42.0 is not Search 34.0. YouTube Trending on 2026-09-18T10:01:45Z (25 rows) omitted the token. A live Google Trends rank of 10 can sit next to a YouTube keyword print of 42.0 and a YouTube Trending miss.

Google Shopping for resident evil movie tipped 38.0, up 280.0% from 10.0 on 2026-09-05. 14D, 30D, 3M, 12M, and YTD all baselined at 0.0 and printed growth 999999. Report 38.0 versus 0.0. The payload marked data_quality low with a warning that the underlying signal is over 90% zeros. Shopping 38.0 / +280.0% is the steepest 7D move among Search, YouTube, News, and Shopping. Do not copy Shopping 38.0 onto Search 34.0.

Keyword Google News for resident evil movie tipped 20.0, down 4.76% from 21.0, the opposite 7D sign from Search +54.55%. 14D was 20.0 versus 18.0 (+11.11%). 30D was 20.0 versus 15.0 (+33.33%). 3M, 12M, and YTD printed growth 999999 versus 0.0. Report 20.0 versus 0.0. The payload marked data_quality low. Keyword News and the Google News Top News board are different feeds. Top News on 2026-09-18T10:01:45Z (25 rows) omitted the exact string resident evil movie. Rank 24 was a Resident Evil reboot box-office headline. That is not the board string. Store the miss. Do not fill Top News from Search 34.0.

TikTok collapsed spaces. Keyword resident evil movie resolved as residentevilmovie. It tipped 39.9 on 2026-09-11, down 59.78% from 99.2, with volume 2,296,849 versus 5,694,289. 14D was 39.9 versus 0.3 (+13200.0%) with volume 2,296,849 versus 32,981. 30D printed score growth 999999 versus 0.0, with volume 2,296,849 versus 16,106 (+14160.83%). TikTok 7D is falling while Search 7D is rising. TikTok Trending Searches on 2026-09-18T10:01:45Z (25 rows) omitted the token. Rank 1 was a creator-insights guide. Store the miss.

Reddit returned 404 no_data for resident evil movie. Amazon 7D returned collapsed_range. Amazon 30D tipped 24.1 on 2026-08-31 with 1,320 volume, up 9.55% from 22.0 / 1,209 on 2026-07-31. 3M was 24.1 versus 22.1 (+9.05%) with volume 1,320 versus 1,212. 12M was 24.1 versus 32.5 (-25.85%) with volume 1,320 versus 1,781. Amazon August is not Search Saturday 34.0. Wikipedia keyword Resident Evil resolved as Resident evil with August score 15.2 and 1,138 views versus July 19.2 / 1,318 (score -20.83%, volume -13.66%). 3M volume was 1,138 versus 1,492 (-23.73%). 12M volume was 1,138 versus 1,138 (flat) with score 15.2 versus 15.2. Compare Wikipedia on volume. Do not join 1,138 August views onto Search 34.0.

What did the mover sorts return next to live rank 10?

Pair three pulls: live rank, 1-day rank_change, and 7-day rank_change. Then call get_growth on the exact board string.

{"mode":"get_top_trends","type":"Google Trends","limit":25}
{"mode":"get_top_trends","type":"Google Trends","sort":"rank_change","window":"1d","limit":25}
{"mode":"get_top_trends","type":"Google Trends","sort":"rank_change","window":"7d","limit":25}

Live top 25 at 2026-09-18T10:01:45Z: how do i register to vote 1, ed sheeran 2, widows bay 3, bloodhound q50 4, dancing with the stars 5, lady gaga baby name 6, income 7, practical magic 2 8, lil durk 9, resident evil movie 10. Rank 1 is the how-to token from the 2026-09-17 pull. Rank 8 is a 7-day mover. Rank 10 is a 1-day mover that the 7-day list missed.

The 1-day sort (25 rows, baseline 2026-09-17T02:01:38Z) listed resident evil movie at rank 10 with rank_change 61 from 71. Other 1-day climbers in the live top 25: fraud +10 to 19, kj biermann +10 to 22, john tuggle +9 to 13, aster +9 to 24, bob mackie +8 to 15, practical magic 2 +7 to 8, lil durk +7 to 9. ed sheeran at live rank 2 was omitted from the 1-day list. Weekly Search for ed sheeran scored 11.0, down 8.33% from 12.0. Rank 2 with no 1-day rank_change means the token was already near the top of the prior snapshot.

The 7-day sort returned 2 rows (baseline 2026-09-11T02:01:29Z): practical magic 2 +54 (8 versus 62) and walmart great value berry recall +2 (113 versus 115). Count 2 is smaller than the 5-row 7-day list on 2026-09-17 and the 6-row list on 2026-09-15. Neither of those 2 rows is resident evil movie. A 7-day filter that only reads rank_change with window 7d never sees rank 10.

dancing with the stars held live rank 5 and was omitted from both mover lists in the top 25 slice of 1-day climbers that also missed several already-high tokens. Weekly Search for that show scored 18.0, down 41.94% from 31.0, while 14D was 18.0 versus 9.0 (+100.0%). Live rank 5 next to a 7D Search drop is a different shape from rank 10 next to Search +54.55%. Store each string.

The HTTP.jl client that posts those three board pulls plus get_growth is on Julia Trends API. Source notes for the Search board sit on Google Trends. Modes live at https://trendsapi.ai/docs.

A watchlist that stores the live board, both mover sorts, and get_growth for resident evil movie, resident evil, and resident evil requiem uses 6 successful 200s. Four runs per 30-day month is 24 calls and fits the free cap of 100. Daily polling of that set is about 180 calls and needs Starter (5,000). Pro is 25,000. Business is 100,000. Only HTTP 200 responses count against quota.

Live rank 10, 1-day +61, weekly Search 34.0 at a series high, Shopping 38.0 / +280.0%, News 20.0 / -4.76%, TikTok 39.9 / -59.78%, Reddit 404, and a 2-row 7-day list that omitted the token are six readings of one Friday. Pair them before writing an alert.