lot_karsilastirma
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-16, from us-stock-capital-gains-tax-for-turkish-investors.
| alim_lotu | lot_maliyeti_usd | satis_fiyati_usd | usd_kazanc_yuzde |
|---|---|---|---|
| 15.06.2023 | 186.01 | 198.42 | 6.67 |
| 15.11.2023 | 188.01 | 198.42 | 5.54 |
| 17.06.2024 | 216.67 | 198.42 | -8.42 |
| 15.11.2024 | 225 | 198.42 | -11.81 |
| 15.01.2025 | 237.87 | 198.42 | -16.58 |
- Rows × columns
- 5 × 4
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
alim_lotu |
text | 5 distinct values (15.01.2025, 15.06.2023, 15.11.2023…) | |
lot_maliyeti_usd |
number | 186.01 to 237.87 | US dollars |
satis_fiyati_usd |
number | every row is 198.42 | US dollars |
usd_kazanc_yuzde |
number | -16.58 to 6.67 | US dollars |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH
(
SELECT toFloat64(max(close))
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL' AND date = '2025-06-16'
) AS satis_fiyati
SELECT
formatDateTime(date, '%d.%m.%Y') AS alim_lotu,
round(toFloat64(max(close)), 2) AS lot_maliyeti_usd,
round(satis_fiyati, 2) AS satis_fiyati_usd,
round((satis_fiyati / toFloat64(max(close)) - 1) * 100, 2) AS usd_kazanc_yuzde
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'AAPL'
AND date IN ('2023-06-15', '2023-11-15', '2024-06-17', '2024-11-15', '2025-01-15')
GROUP BY date
ORDER BY date
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