DEXONOMICS

Predictive Data Fabric PDF

$2.95e-9 -99.8% 24h
0/100
Grade F
ON-CHAIN HEALTH INDEX
Chart data not available yet

PDF/USD price action, 0 candles at 15m. Data refreshes on every page load.

$2.95e-9
Price
n/a
Market cap
$12
FDV
$0
Liquidity
$241
24h volume
9
24h txns

What is Predictive Data Fabric (PDF)?

Predictive Data Fabric (PDF) is a token trading on BNB Chain at $2.95e-9. Its main pool holds $0 of liquidity on Pancakeswap V2, paired against WBNB. Over the last 24 hours PDF has fallen -99.8% on $241 of trading volume across 9 transactions.

The pair was created 14 days ago (Sep 28, 2026). Liquidity is thin, so price can move violently on small trades and exiting a position may be difficult.

PDF history: the key events, on-chain

Sep 28, 2026
Pool created on Pancakeswap V2The PDF/WBNB pair went live and became tradable on BNB Chain.
Oct 12, 2026
Trading at $2.95e-9$0 liquidity, $241 in 24h volume, 7 buys against 2 sells.

PDF tokenomics and supply

Total supplyNot reported
Market capn/a
Fully diluted valuation$12
Circulating estimateNot reported
DecimalsNot reported
Pool address0xbadf...84cc

Both addresses link straight to BscScan. Every figure in this table is read from the chain and you can verify it there.

Supply data for PDF is not fully reported on-chain, so treat valuation figures with caution.

PDF on-chain data, signal by signal

We are not auditors and we do not certify any token as safe. What follows are measurable facts read from the chain, each one stated so you can check it yourself. The index simply summarises them into a number: PDF sits at 0/100. Every threshold and penalty behind that figure is published in full on our methodology page.

LiquidityUnder $5k ($0)
Volume10565x liquidity, almost certainly wash traded
Age14d old
Risk flags

What moves the PDF price?

PDF is a BNB Chain token, so its price is set entirely by what happens in its liquidity pools rather than by any order book. Volume is currently running at 10565.3 times pool liquidity, meaning the pool turns over many times a day. That produces sharp moves in both directions and makes the price highly sensitive to a handful of large trades. The main drivers are the depth of that pool, how concentrated the holder base is, general BNB Chain market conditions, and social attention. For a token with a F grade, position size discipline matters more than any price prediction.

PDF to USD converter and price calculator

PDFUSD
500.00M PDF$1
5.00B PDF$15
50.00B PDF$147
500.00B PDF$1.5K
5000.00B PDF$14.7K
USDPDF
$103.39B PDF
$10033.90B PDF
$1,000339.04B PDF
$10,0003390.40B PDF
$100,00033903.99B PDF

PDF markets and top pools

Only one active pool is currently tracked for PDF.

Liquidity spread across several pools generally means a healthier market: a single pool is easier to drain or manipulate than four.

How to buy Predictive Data Fabric (PDF)

  1. Get a BNB Chain wallet. Install MetaMask or Trust Wallet and fund it with BNB.
  2. Open a DEX. PDF trades mainly on Pancakeswap V2. Paste the contract address rather than searching the ticker: names can be copied by scam tokens.
  3. Verify the contract. Check it against the address on this page: 0x0c1465a199cee19fabac8dedd2e794c39e132060 You can open that address on BscScan and confirm supply, holders and transfers yourself instead of taking our word for it.
  4. Set slippage sensibly. With $0 of liquidity, even small orders move the price. Use small sizes and expect high slippage.
  5. Confirm and review. After the swap, verify the tokens landed and that you can sell a small amount back. If a sell fails, treat it as a honeypot.

Predictive Data Fabric (PDF) price prediction, answered with arithmetic

Every token this size gets asked where the price is going, and nobody honest can answer that. What can be answered is what each target would require. PDF trades at $2.95e-9 today. For each target price below, the table shows what the whole supply would be worth at that price, and how that compares to assets people already know.

Target priceMultiple from todayImplied valuationFor scale
$5.00e-91.7x$20a small-cap crypto asset
$0.133.90Mx$390.72Ma mid-tier crypto asset
$1339.04Mx$3.91Ba large-cap crypto asset

This is arithmetic, not a forecast. Nobody can tell you where PDF will trade. What the table does tell you is the size of the move being asked for, which is usually the missing piece when people ask whether a token can reach a given price.

How to trade PDF safely

PDF FAQ

What is the price of PDF today?

Predictive Data Fabric (PDF) trades at $2.95e-9, fallen -99.8% over the last 24 hours.

What do the on-chain numbers say about PDF?

We are not auditors and do not certify tokens. Measured from the chain, PDF sits at 0 out of 100 on our on-chain health index, computed from liquidity, volume quality, buy/sell balance and pair age. Flagged risks: Negligible liquidity, high rug risk; 24h volume is 10565 times the pool liquidity, which is not physically plausible in real trading and points to wash trading.

How much liquidity does PDF have?

The tracked pool holds $0 of liquidity. Liquidity determines how much you can trade before moving the price and how easily you can exit.

Where can I buy Predictive Data Fabric (PDF)?

PDF trades on BNB Chain, mainly through Pancakeswap V2. Always paste the contract address instead of searching by ticker.

What is the 24 hour trading volume of PDF?

PDF has traded $241 in the last 24 hours across 9 transactions, split 7 buys and 2 sells.

When was PDF launched?

The tracked PDF pool was created 14 days ago, on Sep 28, 2026.

What is the contract address of PDF?

The PDF contract address on BNB Chain is 0x0c1465a199cee19fabac8dedd2e794c39e132060. Check it against the address published by the project itself before buying: tickers and names are copied freely, the address is the only thing that identifies a token. This page links it straight to the block explorer so you can verify supply, holders and transfers yourself.

Could PDF be a honeypot?

Sells are going through (2 in the last 24 hours), which means the token is not blocking exits at this time. Always test a small sell first.

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