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Kalshi · Economics · event · KXRDDT

Kalshi KXRDDT — Reddit KPI Historical Data

Every Kalshi “Reddit KPI” contract of the day — every trade print and the complete Level-2 book, captured co-located with nanosecond venue and receive timestamps. 167 trading days as day bundles, €1 per day, bought as a guest with instant download.

Trading days
167
Coverage
April 2026 – present
Archive size
18.3 MB
Price per day
€1
Activity & identifier

Reddit KPI on Kalshi — activity

Trades and USD turnover summed over every contract of the series across 21 captured days to 2026-10-12, from the recorded tick data — the per-day averages divide by the captured days. Buy share, quoted spread (in contract price cents, 0..1 = 100 ¢), best-bid/ask depth and Level-2 update counts are turnover-weighted over the same window.

Series ticker
KXRDDT
Avg trades / day
0
Avg turnover / day
$5.96
Captured days
21
Trades (30d)
6
Turnover (30d)
$125.2
Contracts traded / day
0
Buy share
100 %
Avg spread
7.83 ¢
Top-1 depth
$62.02
L2 updates / day
602.71
L2 updates / trade
2109.5
Since 2026-09-22
6 trades · $125.2
Record day
$112.28 · 2026-10-10
Files on latest day
11
What's in a bundle

One purchase, the whole series for a day

A series-day bundle contains every Reddit KPI contract that was listed on Kalshi on that UTC day — traded or not — 11 contract files on the latest covered day. Each file carries the full raw feed: every trade print with price, size and side, plus Level-2 order-book updates, in the same zstd-compressed schema as our crypto venues. Event contracts quote 0..1; turnover is USD-normalized.

Coverage runs April 2026 – present — 167 trading days, 18.3 MB compressed in total. A day typically holds 10 contract files (up to 11 on the busiest day, 878 KB). Pick individual days in the shop calendar for €1 each; delivery is an instant per-file download or one archive for the whole day.

Month by month

Reddit KPI — development since capture

6 trades and $125.2 of USD turnover over 22 captured days since 2026-09-22 — record day 2026-10-10 with $112.28, biggest single contract KXRDDT-26OCTDAU-132000000 (RDDT · 132000000) (2026-10-10, $99.5).

MonthDaysTradesTurnover (USD)Avg / dayContracts tradedL2 updatesvs previous month
Oct 2026 (month to date)136$125.2$9.6349.2K—
Sep 202690$0$004.1K—

Kalshi Reddit KPI — trades and USD turnover summed per calendar month (UTC) over every contract, from our own daily statistics of the recorded tick data. Days = captured UTC days; a partial month shows no month-over-month change. Contracts traded and L2 (order-book) updates exist for days captured with the extended statistics.

When it trades

Reddit KPI — activity by weekday

Saturdays carry the most turnover, about $37.43 per day.

Weekday (UTC)Avg turnover / dayUSDAvg tradesDays
Monday$003
Tuesday$003
Wednesday$003
Thursday$003
Friday$3.330.333
Saturday$37.431.333
Sunday$0.970.333

Kalshi Reddit KPI — average USD turnover and trades per weekday over the captured days of the last 30, from our own daily statistics; weekdays without a captured day show —.

Daily statistics

Reddit KPI — last 30 days in the archive

Files, size, contracts traded, trades, USD turnover, buy share, quoted spread, top-of-book depth and order-book updates per UTC day, from the recorded tick data.

UTC dayFilesSizeTradedTradesTurnoverBuy shareAvg spreadTop-1 depthL2 updatesNotes
2026-10-211133.1 KB—≈ 2≈ $95.78————Buy day →
2026-10-201136.1 KB11$0.1100 %9.83 ¢$71.56508Buy day →
2026-10-191157.8 KB59$611.960 %14.2 ¢$100.341.2KBuy day →
2026-10-181122.1 KB00$0———205Buy day →
2026-10-171132.4 KB11$46.76100 %9.56 ¢$103.18521Buy day →
2026-10-161129.8 KB13$9.0854 %8.48 ¢$68.69404Buy day →
2026-10-151131.2 KB11$2.540 %8.98 ¢$80.42384Buy day →
2026-10-141130.7 KB00$0———394Buy day →
2026-10-131139.5 KB00$0———651Buy day →
2026-10-121184.4 KB00$0———1.6KBuy day →
2026-10-111167.1 KB11$2.92100 %9.16 ¢$73.831.1KBuy day →
2026-10-101162.4 KB24$112.28100 %7.60 ¢$66.251.1KBuy day →
2026-10-091144.4 KB00$0———745Buy day →
2026-10-081128.5 KB00$0———376Buy day →
2026-10-071138.6 KB00$0———598Buy day →
2026-10-061147.2 KB00$0———791Buy day →
2026-10-051132.4 KB00$0———457Buy day →
2026-10-041120.3 KB00$0———200Buy day →
2026-10-031130.2 KB00$0———258Buy day →
2026-10-021134.5 KB11$10100 %10.0 ¢$11.06409Buy day →
2026-10-011149.9 KB00$0———803Buy day →
2026-09-301143.8 KB00$0———691Buy day →
2026-09-291133.0 KB00$0———488Buy day →
2026-09-281132.5 KB00$0———434Buy day →
2026-09-271130.7 KB00$0———427Buy day →
2026-09-261130.7 KB00$0———259Buy day →
2026-09-251132.6 KB00$0———274Buy day →
2026-09-241129.1 KB00$0———316Buy day →
2026-09-231143.7 KB00$0———743Buy day →
2026-09-221134.7 KB00$0———482Buy day →

≈ marks an estimate: the average of the last 7 captured days of this series, scaled by that day's contract-file count. Statistics for a day are captured the next morning UTC and replace the estimate; days that predate the capture show —. Traded = contracts with at least one trade that day. Buy share = taker-buy side of USD turnover. Avg spread = quoted bid-ask spread in contract price cents (0..1 = 100 ¢), weighted by turnover across the day’s contracts. Top-1 depth = mean of the best bid and best ask notional in USD, weighted by turnover. L2 updates = order-book level updates recorded across all contracts of the day. Days captured before the extended statistics show —.

Contracts

Most traded Reddit KPI contracts by day

The ten contracts with the most USD turnover per UTC day — open, high, low, close, VWAP and the outcome implied by the last print; the six previous days fold out below.

The 1 most traded Reddit KPI contracts on 2026-10-20 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 1 trades, $0.1 USD turnover. The busiest contract was KXRDDT-26OCTDAU-135000000 with $0.1 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.5500.5500.4300.4300.430open1$0.1100 %9.83 ¢$71.5686buy file →

Prices quote 0..1 (probability of Yes). Open/high/low/close/VWAP are that UTC day’s trade prints per contract; the implied outcome reads the last print — ≥ 0.97 as Yes, ≤ 0.03 as No, anything between as still open — venues publish the official result. Buy share = taker-buy side of turnover; spread = the contract's turnover-weighted quoted bid-ask spread in cents, top-1 depth = mean best-bid/ask notional per side, L2 updates = order-book level updates recorded for the contract that day. “Settles” is the venue-listed close time of the contract where the venue publishes one (UTC).

2026-10-19 — 5 contracts, 9 trades, $611.96 turnover

The 5 most traded Reddit KPI contracts on 2026-10-19 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 5 still open at the last print: 9 trades, $611.96 USD turnover. The busiest contract was KXRDDT-26OCTDAU-132000000 with $192.25 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-132000000 RDDT · 1320000000.9300.9300.8000.8000.811open4$192.250 %15.1 ¢$106.6587buy file →
KXRDDT-26OCTDAU-133000000 RDDT · 1330000000.7000.7000.7000.7000.700open1$1400 %16.7 ¢$145.3544buy file →
KXRDDT-26OCTDAU-134000000 RDDT · 1340000000.7500.7500.6700.6700.670open1$1340 %9.55 ¢$79.93104buy file →
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.6200.6200.5500.5500.551open2$120.290 %15.0 ¢$65.09280buy file →
KXRDDT-26OCTDAU-136000000 RDDT · 1360000000.4100.4100.4100.4100.410open1$25.420 %15.1 ¢$79.04283buy file →
2026-10-17 — 1 contract, 1 trades, $46.76 turnover

The 1 most traded Reddit KPI contracts on 2026-10-17 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 1 trades, $46.76 USD turnover. The busiest contract was KXRDDT-26OCTDAU-135000000 with $46.76 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.5300.6200.5300.6200.620open1$46.76100 %9.56 ¢$103.18293buy file →
2026-10-16 — 1 contract, 3 trades, $9.08 turnover

The 1 most traded Reddit KPI contracts on 2026-10-16 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 3 trades, $9.08 USD turnover. The busiest contract was KXRDDT-26OCTDAU-135000000 with $9.08 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.5300.6200.5300.5300.578open3$9.0854 %8.48 ¢$68.69193buy file →
2026-10-15 — 1 contract, 1 trades, $2.54 turnover

The 1 most traded Reddit KPI contracts on 2026-10-15 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 1 trades, $2.54 USD turnover. The busiest contract was KXRDDT-26OCTDAU-135000000 with $2.54 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.6100.6100.5300.5300.530open1$2.540 %8.98 ¢$80.42220buy file →
2026-10-11 — 1 contract, 1 trades, $2.92 turnover

The 1 most traded Reddit KPI contracts on 2026-10-11 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 1 still open at the last print: 1 trades, $2.92 USD turnover. The busiest contract was KXRDDT-26OCTDAU-135000000 with $2.92 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-135000000 RDDT · 1350000000.6100.6100.6100.6100.610open1$2.92100 %9.16 ¢$73.83351buy file →
2026-10-10 — 2 contracts, 4 trades, $112.28 turnover

The 2 most traded Reddit KPI contracts on 2026-10-10 — 0 closed Yes (≥ 0.97), 0 closed No (≤ 0.03), 2 still open at the last print: 4 trades, $112.28 USD turnover. The busiest contract was KXRDDT-26OCTDAU-132000000 with $99.5 turnover.

ContractOpenHighLowCloseVWAPImplied outcomeTradesTurnoverBuy shareSpreadTop-1 depthL2 updates
KXRDDT-26OCTDAU-132000000 RDDT · 1320000000.9200.9300.9200.9300.930open3$99.5100 %7.83 ¢$64.81209buy file →
KXRDDT-26OCTDAU-134000000 RDDT · 1340000000.7500.7500.7500.7500.750open1$12.78100 %5.84 ¢$77.49238buy file →
Contract anatomy

How a Reddit KPI contract trades

Listed ahead
69 min
Tick size
0.01
Contracts measured
1
Quoted in
USD

On Kalshi, a Reddit KPI contract trades until its event settles, is listed roughly 69 min before it opens, and quotes in 1 ¢ price steps (0..1). Measured on the 1 contracts captured on 2026-10-20.

Free sample

Try a Reddit KPI contract file for free

The busiest contract of a settled day, byte-identical to the files in the paid bundle — download the native tick file, a CSV/Parquet export, or replay its order book in the browser.

KXRDDT-26OCTDAU-1350000002026-10-11 (UTC) · 16.2 KB · 1 trades · $2.92 turnover · 0.610 → 0.610Full tick file: every trade print and Level-2 order-book update of the contract on that day, zstd-compressed JSON lines — no account needed.
Replay
Intraday profile

KXRDDT-26OCTDAU-135000000 minute by minute — 2026-10-11

One-minute open/high/low/close, trades, USD turnover, quoted spread and top-of-book depth of the sample contract — the same 1-minute statistics every instrument’s analytics page offers.

KXRDDT-26OCTDAU-135000000 traded in 1 of the day’s minutes (13:27–13:27 UTC): 1 trades, $2.92 turnover, opening at 0.610, ranging 0.610–0.610 and closing at 0.610.

Minute (UTC)OpenHighLowCloseTradesTurnoverSpreadTop-1 bid / ask
13:270.6100.6100.6100.6101$2.929.00 ¢$14.04 / $122

1-minute statistics computed from the recorded ticks; minutes without a trade are omitted. Spread in contract price cents; top-1 depth = resting notional at the best bid / best ask. Every minute of every day is in the free analytics; the raw ticks are in the sample file above.

Build a bot

Build a Reddit KPI model on this data

Every Reddit KPI event lists a ladder of strikes — one contract per range — and the rung that settles in the money is the label, so the ladder's prices read as an implied distribution rather than one probability. The day bundle holds the full order-book path and trade tape of every rung, nanosecond-stamped; the statistics on this page cover the most traded contracts per day; the bundle holds every contract listed on Kalshi that day.

Contract-days traded since 2026-09-22
4

Split by release or event day, never at random — every rung of one ladder settles on the same print, so the whole ladder is one example; walk forward over releases. The ladder guide works distribution labels, cross-strike features and the link to the crypto strike grids through.

Purchased data is for your own use — backtesting, research, analytics and training your own models, in-house or in your own products; the trained models and derived data you build from it are yours. The raw files and tick streams themselves may not be redistributed, resold or published. The full terms are on the data license page.

Why CryptoStruct

Why buy Kalshi Reddit KPI data here

Four things every page on this site is built on — and the reason the numbers above exist at all.

We record everything

The complete public feed of each venue as it was published: every Level-2 snapshot and update at the venue's full book depth, every trade with its aggressor side, every quote, funding, mark-price and liquidation event — for every instrument the venue lists, every UTC day since we added the venue. Nothing sampled, no top-N cut, no on-demand capture.

Institutional grade

Captured co-located at the venue with the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain that makes any gap visible, and one normalized schema across 35+ venues — the same capture our own high-frequency trading engine and enterprise feeds run on.

€1 per instrument-day

Any instrument-day is €1, series-day bundles start at €1 — no subscription, no minimum order, no tiers to unlock. Credit packs lower the effective price and never expire, and every venue has free full-day samples to test against first.

Self-service for everyone

Pick the days in the Data Shop, pay by card as a guest and download immediately — no sales call, no enterprise contract, no KYC. Coding agents buy the same files through the MCP server, and the free Agent Skill teaches them the format.

Agents: /llms.txt · MCP server /mcp · every page as markdown via Accept: text/markdown

FAQ

Kalshi Reddit KPI data — FAQ

What Kalshi Reddit KPI data can I download?

Tick-by-tick trades and Level-2 order-book depth for every contract of the Reddit KPI series on Kalshi (11 contract files on the latest day). One bundle = one UTC day of the whole series.

What is the Kalshi series ticker for Reddit KPI?

KXRDDT — every contract of the series carries this prefix in its ticker (followed by the event date and strike). Files in a day bundle are named by the full contract ticker, so a bundle holds every KXRDDT-* contract listed that UTC day.

How far back does the Reddit KPI data go?

Coverage runs April 2026 – present — 167 trading days in total.

What format are the Kalshi files in?

One zstd-compressed text file per contract per UTC day, in the same normalized schema as our crypto venues — see the market-data specification; free samples on the downloads page.

Can I get Kalshi Reddit KPI data as CSV or Parquet?

Yes — trades export as gzipped CSV or Parquet at no extra cost, with integer microsecond UTC timestamps that load straight into pandas, polars or DuckDB. Kalshi records full order-book depth without a separate BBO stream, so book data ships in the native tick file — the free reader script converts it locally. See the formats overview.

How much does Kalshi Reddit KPI historical data cost?

€1 per series-day bundle — every contract of the series for that day — no subscription, no minimum order; buy as a guest in the Data Shop and download immediately. Credit packs lower the effective price and never expire.

Do I need an account or a sales call?

No. Pick the Reddit KPI series-days in the Data Shop, pay by card as a guest and download immediately — no subscription, no minimum order, no KYC, no enterprise contract, no sales call. Coding agents buy the same bundles through the MCP server.

How is the Kalshi Reddit KPI data captured?

Co-located at the venue, message by message: every Level-2 update and every trade print carries the exchange timestamp and our receive timestamp in integer nanoseconds, an event-id chain makes any gap visible, and one normalized schema across 35+ venues means a parser written for Binance reads these files unchanged. It is the same capture our own high-frequency trading engine runs on — nothing sampled, no top-N cut.

How many Reddit KPI contracts trade per day on Kalshi?

On average 0 Reddit KPI contracts had at least one trade per UTC day over the last 21 captured days on Kalshi, with about 602.71 order-book level updates recorded per day. A day bundle contains every contract file of the series for that day.

How liquid are Kalshi Reddit KPI contracts?

Over the last 21 captured days, the turnover-weighted quoted bid-ask spread was 7.83 ¢ (contracts quote 0..1 = 100 ¢), the mean best-bid/best-ask notional was about $62.02 per side, 100 % of USD turnover was taker-buy. These figures are computed from the recorded Level-2 order books and trade prints — the same data in the day bundles.

What was the most traded Reddit KPI contract on 2026-10-20?

KXRDDT-26OCTDAU-135000000 (RDDT · 135000000) — $0.1 USD turnover over 1 trades on Kalshi. The 1 most traded contracts of the series did 1 trades and $0.1 that UTC day. Open, high, low, close and VWAP per contract are listed on this page; the tick-level data is in the day bundle.

What was the busiest Reddit KPI trading day on Kalshi?

2026-10-10, with $112.28 of USD turnover over 4 trades across every Reddit KPI contract of the day; the busiest full month was Sep 2026 at $0. Since our statistics began on 2026-09-22 the series has recorded 6 trades and $125.2 over 22 captured days; the single biggest contract was KXRDDT-26OCTDAU-132000000 (RDDT · 132000000) on 2026-10-10 with $99.5. Any of these days is a downloadable bundle.

Which weekday does Kalshi Reddit KPI trade most?

Saturdays — about $37.43 of USD turnover per Saturday and 90 % of the series' turnover over the 21 captured days to 2026-10-12 on Kalshi, summed from every trade print of the series' contracts. The weekday profile on this page shows all seven days; the day bundles carry the full tape behind them.

Topics

Topic hubs featuring this series