zubziretta/Kronos-small-BIST
Time Series Forecasting • 24.7M • Updated • 49
name string | start int64 | end int64 |
|---|---|---|
AKBNK.IS@1h | 0 | 5,755 |
GARAN.IS@1h | 5,755 | 11,505 |
ISCTR.IS@1h | 11,505 | 17,258 |
YKBNK.IS@1h | 17,258 | 23,009 |
VAKBN.IS@1h | 23,009 | 28,762 |
HALKB.IS@1h | 28,762 | 34,510 |
TSKB.IS@1h | 34,510 | 40,259 |
ALBRK.IS@1h | 40,259 | 46,012 |
SKBNK.IS@1h | 46,012 | 51,764 |
ICBCT.IS@1h | 51,764 | 57,516 |
THYAO.IS@1h | 57,516 | 63,269 |
PGSUS.IS@1h | 63,269 | 69,021 |
TAVHL.IS@1h | 69,021 | 74,773 |
DOAS.IS@1h | 74,773 | 80,527 |
FROTO.IS@1h | 80,527 | 86,278 |
TOASO.IS@1h | 86,278 | 92,028 |
TTRAK.IS@1h | 92,028 | 97,779 |
OTKAR.IS@1h | 97,779 | 103,535 |
KARSN.IS@1h | 103,535 | 109,295 |
ASELS.IS@1h | 109,295 | 115,048 |
SASA.IS@1h | 115,048 | 120,779 |
PETKM.IS@1h | 120,779 | 126,534 |
TUPRS.IS@1h | 126,534 | 132,286 |
EREGL.IS@1h | 132,286 | 138,038 |
KRDMD.IS@1h | 138,038 | 143,790 |
KCHOL.IS@1h | 143,790 | 149,542 |
SAHOL.IS@1h | 149,542 | 155,296 |
SISE.IS@1h | 155,296 | 161,049 |
ARCLK.IS@1h | 161,049 | 166,802 |
VESTL.IS@1h | 166,802 | 172,558 |
BIMAS.IS@1h | 172,558 | 178,312 |
MGROS.IS@1h | 178,312 | 184,063 |
SOKM.IS@1h | 184,063 | 189,815 |
ULKER.IS@1h | 189,815 | 195,567 |
CCOLA.IS@1h | 195,567 | 201,319 |
AEFES.IS@1h | 201,319 | 207,071 |
TCELL.IS@1h | 207,071 | 212,826 |
TTKOM.IS@1h | 212,826 | 218,575 |
ENKAI.IS@1h | 218,575 | 224,325 |
TKFEN.IS@1h | 224,325 | 230,080 |
EKGYO.IS@1h | 230,080 | 235,834 |
ISGYO.IS@1h | 235,834 | 241,580 |
HEKTS.IS@1h | 241,580 | 247,332 |
GUBRF.IS@1h | 247,332 | 253,082 |
ODAS.IS@1h | 253,082 | 258,834 |
ZOREN.IS@1h | 258,834 | 264,587 |
AKSEN.IS@1h | 264,587 | 270,337 |
AKSA.IS@1h | 270,337 | 276,089 |
ALARK.IS@1h | 276,089 | 281,842 |
ISMEN.IS@1h | 281,842 | 287,597 |
GESAN.IS@1h | 287,597 | 293,353 |
SMRTG.IS@1h | 293,353 | 299,115 |
KONTR.IS@1h | 299,115 | 304,694 |
EUPWR.IS@1h | 304,694 | 310,450 |
ASTOR.IS@1h | 310,450 | 316,201 |
YEOTK.IS@1h | 316,201 | 321,969 |
BRSAN.IS@1h | 321,969 | 327,727 |
CIMSA.IS@1h | 327,727 | 333,478 |
OYAKC.IS@1h | 333,478 | 339,230 |
AKCNS.IS@1h | 339,230 | 344,980 |
CEMTS.IS@1h | 344,980 | 350,738 |
KONYA.IS@1h | 350,738 | 356,486 |
BUCIM.IS@1h | 356,486 | 362,236 |
TRGYO.IS@1h | 362,236 | 367,991 |
KLKIM.IS@1h | 367,991 | 373,745 |
EGEEN.IS@1h | 373,745 | 379,495 |
BAGFS.IS@1h | 379,495 | 385,245 |
SARKY.IS@1h | 385,245 | 390,997 |
ALFAS.IS@1h | 390,997 | 396,763 |
CWENE.IS@1h | 396,763 | 402,525 |
KCAER.IS@1h | 402,525 | 408,282 |
PENTA.IS@1h | 408,282 | 414,036 |
LOGO.IS@1h | 414,036 | 419,785 |
MIATK.IS@1h | 419,785 | 425,423 |
INDES.IS@1h | 425,423 | 431,176 |
ARDYZ.IS@1h | 431,176 | 436,930 |
AGHOL.IS@1h | 436,930 | 442,684 |
ANSGR.IS@1h | 442,684 | 448,436 |
AKGRT.IS@1h | 448,436 | 454,186 |
TURSG.IS@1h | 454,186 | 459,936 |
MPARK.IS@1h | 459,936 | 465,686 |
LKMNH.IS@1h | 465,686 | 471,442 |
SELEC.IS@1h | 471,442 | 477,198 |
DEVA.IS@1h | 477,198 | 482,951 |
ECILC.IS@1h | 482,951 | 488,702 |
VESBE.IS@1h | 488,702 | 494,461 |
ARENA.IS@1h | 494,461 | 500,209 |
BRISA.IS@1h | 500,209 | 505,957 |
GOODY.IS@1h | 505,957 | 511,713 |
PRKME.IS@1h | 511,713 | 517,470 |
QUAGR.IS@1h | 517,470 | 523,247 |
SNGYO.IS@1h | 523,247 | 529,004 |
YYLGD.IS@1h | 529,004 | 534,757 |
ENJSA.IS@1h | 534,757 | 540,508 |
AYDEM.IS@1h | 540,508 | 546,263 |
TUKAS.IS@1h | 546,263 | 552,017 |
AKBNK.IS@1d | 552,017 | 557,622 |
GARAN.IS@1d | 557,622 | 564,112 |
ISCTR.IS@1d | 564,112 | 568,566 |
YKBNK.IS@1d | 568,566 | 575,033 |
Borsa İstanbul OHLCV mumları — Kronos
fine-tune'u için düz dizi formatında hazırlanmış hâli.
Kaynak: Yahoo Finance (<SEMBOL>.IS, auto_adjust=True).
193 seri / 1.019.897 mum — BIST-100 evreninden ~97 sembol saatlik (son ~2 yıl) ve ~96 sembol günlük (tam geçmiş).
| dosya | şekil | içerik |
|---|---|---|
bars.npy |
[N, 6] float32 |
open, high, low, close, volume, amount (= close × volume) |
stamps.npy |
[N, 5] float32 |
minute, hour, weekday, day, month |
ts.npy |
[N] int64 |
epoch saniye (Istanbul yerel saati, naive) |
segments.json |
liste | {name: "THYAO.IS@1h", start, end} — her serinin bars içindeki aralığı |
Seriler tek bir dizide art arda saklanır; pencere örneklerken segments sınırlarını
aşmamak gerekir. Hacmi sıfır olan ve eksik barlar atılmıştır, bu yüzden seriler
içinde zaman boşlukları olabilir.
import json, numpy as np
from huggingface_hub import hf_hub_download
bars = np.load(hf_hub_download("zubziretta/bist-klines", "bars.npy", repo_type="dataset"))
segs = json.load(open(hf_hub_download("zubziretta/bist-klines", "segments.json", repo_type="dataset")))
thyao = bars[segs[0]["start"]:segs[0]["end"]]
Üreten kod: zubziretta/kronos-bist-trainer → data_prep.py.