Weekly Presentation

CryptoQuant data expansion, H1 validation, and the modeling pipeline

A slide-style walkthrough for this week’s update: download progress, H1 validation, CryptoQuant breadth, and the modeling pipeline.

Topic 1

Progress on downloaded data

Current capture coverage from cryptoquant_playwright.py across both daily and hourly windows.

DAY Progress

28,018/28,103captured payloads
99.70%completion
2,904proChart metrics
806non-pro metrics
CoinDownloadedExpected%
BTC7,4717,471100.00
ETH1,2581,258100.00
XRP435435100.00
BNB11100.00
SOL11100.00
DOGE11100.00
ADA11100.00
TRX313393.94
WBTC1414100.00
AVAX11100.00
STABLECOIN70971099.86
USDT_ETH66667998.09
USDT_TRX116116100.00
USDT_OMNI2020100.00
USDC571571100.00
DAI469469100.00
TUSD351351100.00
USDP35638093.68
BUSD9999100.00
GUSD182182100.00
SUSD7070100.00
SAI140140100.00
USDK425675.00
HUSD8484100.00
ZEC11100.00
XMR11100.00
XLM11100.00
LINK700700100.00
HBAR11100.00
SHIB660660100.00
CRO1414100.00
NEAR11100.00
DOT11100.00
OKB1414100.00
UNI652652100.00
ICP11100.00
ETC11100.00
ATOM11100.00
AAVE524524100.00
KCS1414100.00
QNT286286100.00
ALGO11100.00
GT1414100.00
FIL11100.00
CAKE11100.00
DASH11100.00
VET11100.00
FET331331100.00
CRV684684100.00
STX11100.00
IMX1414100.00
GNO1414100.00
CHZ685685100.00
XTZ11100.00
JASMY269269100.00
GRT684684100.00
DCR11100.00
IOTA11100.00
ENS349349100.00
COMP540540100.00
AXS494494100.00
THETA11100.00
NEO11100.00
SAND525525100.00
MANA668668100.00
RUNE11100.00
BAT70472097.78
GALA461461100.00
AR11100.00
XEC11100.00
DYDX446446100.00
1INCH525525100.00
FTT381381100.00
S11100.00
EGLD11100.00
SNX526526100.00
QTUM11100.00
ZRX861861100.00
RVN11100.00
YFI431431100.00
KSM11100.00
ENJ750750100.00
NMR331331100.00
TFUEL11100.00
HNT11100.00
ACH1414100.00
HOT526526100.00
MINA11100.00
SUSHI556556100.00
ROSE11100.00
FLOW11100.00
AMP24926494.32
REQ000.00
ANKR000.00
LUNA000.00
CELO000.00
WAVES000.00
MASK000.00
UMA000.00
STORJ000.00
IOTX000.00
BNT000.00
SKL000.00
KNC000.00
ILV000.00
ONE000.00
WAXP000.00
PROM000.00
LQTY000.00
YGG000.00
LRC000.00
SLP000.00
AGLD000.00
DODO000.00
OGN000.00
GODS000.00
ALICE000.00
ALCX000.00
BAL000.00
OMG000.00
GTC000.00
RACA000.00
XEM000.00
HIGH000.00
BLZ000.00
GHST000.00
DHT000.00
MTA000.00
RBN000.00
CREAM000.00
PSP000.00
EFI000.00
VGX000.00
AUTO000.00
DEGO000.00
ARMOR000.00
CQT000.00
ERN000.00
HMT000.00
HT000.00
MKR000.00
DAR000.00
OCEAN000.00
PLA000.00
MATIC000.00
POLY000.00
ICE000.00
TEMPLE000.00

HOUR Progress

30,931/54,822captured payloads
56.42%completion
2,904proChart metrics
806non-pro metrics
CoinDownloadedExpected%
BTC14,68814,688100.00
ETH2,4162,416100.00
XRP856856100.00
BNB22100.00
SOL22100.00
DOGE22100.00
ADA22100.00
TRX22100.00
WBTC2828100.00
AVAX22100.00
STABLECOIN1,2881,288100.00
USDT_ETH1,2061,23297.89
USDT_TRX000.00
USDT_OMNI22100.00
USDC1,0381,038100.00
DAI842842100.00
TUSD618618100.00
USDP674674100.00
BUSD198198100.00
GUSD364364100.00
SUSD140140100.00
SAI226226100.00
USDK8411275.00
HUSD168168100.00
ZEC22100.00
XMR22100.00
XLM22100.00
LINK1,4001,400100.00
HBAR22100.00
SHIB1,3201,320100.00
CRO2828100.00
NEAR22100.00
DOT22100.00
OKB2828100.00
UNI1,3041,304100.00
ICP22100.00
ETC22100.00
ATOM22100.00
AAVE1,0471,04899.90
KCS2828100.00
QNT572572100.00
ALGO22100.00
GT2828100.00
FIL22100.00
CAKE22100.00
DASH22100.00
VET22100.00
FET30066245.32
CRV01,3680.00
STX020.00
IMX0280.00
GNO0280.00
CHZ01,3700.00
XTZ020.00
JASMY05380.00
GRT01,3680.00
DCR020.00
IOTA020.00
ENS06980.00
COMP01,0800.00
AXS09880.00
THETA020.00
NEO020.00
SAND01,0500.00
MANA01,3360.00
RUNE020.00
BAT01,4400.00
GALA09220.00
AR020.00
XEC020.00
DYDX08920.00
1INCH01,0500.00
FTT07620.00
S020.00
EGLD020.00
SNX01,0520.00
QTUM020.00
ZRX01,7220.00
RVN020.00
YFI08620.00
KSM020.00
ENJ01,5000.00
NMR06620.00
TFUEL020.00
HNT020.00
ACH0280.00
HOT01,0520.00
MINA020.00
SUSHI01,1120.00
ROSE020.00
FLOW020.00
AMP05280.00
REQ000.00
ANKR000.00
LUNA000.00
CELO000.00
WAVES000.00
MASK000.00
UMA000.00
STORJ000.00
IOTX000.00
BNT000.00
SKL000.00
KNC000.00
ILV000.00
ONE000.00
WAXP000.00
PROM000.00
LQTY000.00
YGG000.00
LRC000.00
SLP000.00
AGLD000.00
DODO000.00
OGN000.00
GODS000.00
ALICE000.00
ALCX000.00
BAL000.00
OMG000.00
GTC000.00
RACA000.00
XEM000.00
HIGH000.00
BLZ000.00
GHST000.00
DHT000.00
MTA000.00
RBN000.00
CREAM000.00
PSP000.00
EFI000.00
VGX000.00
AUTO000.00
DEGO000.00
ARMOR000.00
CQT000.00
ERN000.00
HMT000.00
HT000.00
MKR000.00
DAR000.00
OCEAN000.00
PLA000.00
MATIC000.00
POLY000.00
ICE000.00
TEMPLE000.00
Topic 2

Funding-rate validation and H1 confidence

We matched CryptoQuant funding-rate values against an independent Binance reference, then rolled the raw CQ minute stream to hourly to verify the new cqh1 layer.

353hourly matched rows
0.000903520000max abs diff
0.000002561709mean abs diff
Noall close at 1e-12

What we verified

The raw CryptoQuant minute series in test.json was resampled to hourly averages and compared against the hourly parquet output in data_parquet/crypto_quant_h1/BTC.parquet.

Range checked: 2026-05-01 00:00:00 to 2026-05-15 16:00:00

Why it matters

This gives us a sanity-checked H1 layer instead of treating every new download as trustworthy by default. It means the hourly research branch now has at least one confirmed reference path.

Raw minute data averaged to H1 vs cqh1

CryptoQuant hourly validation chart
45binance matched rows
0.000084binance max abs diff
0.000014binance mean abs diff

Binance vs CryptoQuant funding rate

Binance versus CryptoQuant funding rate chart
Topic 3

CryptoQuant has a very wide metric universe

The website is not just one or two charts. It is a broad metric catalog across coins, flows, addresses, exchange behavior, derivatives, and more.

148tracked coins
3,710discovered chart urls
2,904proChart metrics
CoinChart URLsproChart
BTC207174
ETH173164
XRP6658
BNB91
SOL91
DOGE91
ADA91
TRX4133
WBTC1414
AVAX91
STABLECOIN3333
USDT_ETH3535
USDT_TRX3232
USDT_OMNI2020
USDC3535
DAI3535
TUSD3535
USDP3535
BUSD1515
GUSD1414
SUSD1414
SAI3535
USDK1414
HUSD1414
ZEC91
XMR91
XLM91
LINK3931
HBAR91
SHIB3830
CRO2214
NEAR91
DOT91
OKB1814
UNI3931
ICP91
ETC91
ATOM91
AAVE3931
KCS2214
QNT2416
ALGO91
GT1814
FIL91
CAKE91
DASH91
VET91
FET2416
CRV3931
STX91
IMX2214
GNO2214
CHZ3931
XTZ91
JASMY3931
GRT3931
DCR51
IOTA51
ENS3931
COMP3931
AXS3931
THETA91
NEO91
SAND3931
MANA3931
RUNE91
BAT3931
GALA3931
AR91
XEC91
DYDX3931
1INCH3830
FTT3931
S91
EGLD91
SNX2416
QTUM91
ZRX3931
RVN91
YFI3931
KSM91
ENJ3931
NMR2416
TFUEL51
HNT91
ACH2214
HOT3931
MINA91
SUSHI3931
ROSE91
FLOW91
AMP3931
REQ2214
ANKR3931
LUNA91
CELO91
WAVES91
MASK3931
UMA3931
STORJ3830
IOTX91
BNT3131
SKL3931
KNC3830
ILV3931
ONE91
WAXP91
PROM2214
LQTY2214
YGG3931
LRC2315
SLP3931
AGLD3931
DODO3131
OGN3131
GODS1414
ALICE3131
ALCX3131
BAL3931
OMG3131
GTC3131
RACA1414
XEM91
HIGH1414
BLZ3131
GHST3131
DHT1414
MTA1414
RBN1414
CREAM1414
PSP1414
EFI1414
VGX3131
AUTO11
DEGO3030
ARMOR1414
CQT1414
ERN3131
HMT1414
HT1414
MKR3931
DAR3131
OCEAN3030
PLA1414
MATIC3131
POLY3131
ICE1414
TEMPLE1414
Topic 4

Research goal: raw data to prediction

The direction is simple: grow the raw archive, clean it into reliable standardized layers, fit models, and turn those models into usable predictions.

1. Raw DataCapture wide CryptoQuant coverage at daily and hourly resolution.
2. PreprocessConvert raw JSON into cache parquet, then standardized research-ready tables.
3. Fit ModelTrain predictive models for direction, forward return, and rank.
4. PredictionUse the model output as the trend layer for later execution logic.

Near-term focus

Finish data coverage, keep validating the H1 branch, and make the preprocessing layers stable enough that model work can iterate without constantly revisiting raw capture problems.

Why this sequence matters

If raw data is shaky, every model result becomes suspicious. If preprocessing is unstable, feature engineering becomes noise. The cleaner the first two layers are, the more honestly we can evaluate prediction quality later.