TRY 6.19
+0.560 (+9.95%)
At Close: Aug 10, 2026
| Range | Low Price | High Price | Comment |
|---|---|---|---|
| 30 days | TRY 3.63 | TRY 6.19 | Monday, 10th Aug 2026 KOCMT.IS stock ended at TRY 6.19. This is 9.95% more than the trading day before Friday, 7th Aug 2026. During the day the stock fluctuated 9.95% from a day low at TRY 5.63 to a day high of TRY 6.19. |
| 90 days | TRY 2.36 | TRY 6.19 | |
| 52 weeks | TRY 2.35 | TRY 17.66 |
Historical KOC METALURJI prices
| Date | Open | High | Low | Close | Volume |
|---|---|---|---|---|---|
| Aug 10, 2026 | TRY 5.65 | TRY 6.19 | TRY 5.63 | TRY 6.19 | 81 066 888 |
| Aug 07, 2026 | TRY 5.54 | TRY 5.65 | TRY 5.43 | TRY 5.63 | 49 695 029 |
| Aug 06, 2026 | TRY 5.50 | TRY 5.76 | TRY 5.30 | TRY 5.44 | 118 806 177 |
| Aug 05, 2026 | TRY 5.33 | TRY 5.63 | TRY 5.33 | TRY 5.48 | 56 464 438 |
| Aug 04, 2026 | TRY 5.51 | TRY 5.68 | TRY 5.29 | TRY 5.42 | 62 236 142 |
| Aug 03, 2026 | TRY 5.68 | TRY 5.75 | TRY 5.32 | TRY 5.51 | 72 128 212 |
| Jul 31, 2026 | TRY 5.35 | TRY 5.67 | TRY 4.96 | TRY 5.42 | 107 453 570 |
| Jul 30, 2026 | TRY 5.48 | TRY 5.71 | TRY 5.31 | TRY 5.35 | 64 191 242 |
| Jul 29, 2026 | TRY 6.02 | TRY 6.18 | TRY 5.47 | TRY 5.48 | 177 362 901 |
| Jul 28, 2026 | TRY 5.49 | TRY 5.90 | TRY 5.45 | TRY 5.90 | 182 130 230 |
| Jul 27, 2026 | TRY 4.88 | TRY 5.37 | TRY 4.49 | TRY 5.37 | 133 936 250 |
| Jul 24, 2026 | TRY 4.75 | TRY 4.92 | TRY 4.65 | TRY 4.89 | 64 417 782 |
| Jul 23, 2026 | TRY 4.69 | TRY 4.94 | TRY 4.64 | TRY 4.75 | 64 873 105 |
| Jul 22, 2026 | TRY 4.70 | TRY 4.97 | TRY 4.60 | TRY 4.69 | 146 264 070 |
| Jul 21, 2026 | TRY 4.21 | TRY 4.58 | TRY 4.07 | TRY 4.58 | 92 775 284 |
| Jul 20, 2026 | TRY 4.15 | TRY 4.34 | TRY 3.98 | TRY 4.17 | 83 334 939 |
| Jul 17, 2026 | TRY 4.00 | TRY 4.18 | TRY 3.97 | TRY 4.07 | 70 996 989 |
| Jul 16, 2026 | TRY 4.06 | TRY 4.32 | TRY 4.01 | TRY 4.04 | 104 061 132 |
| Jul 14, 2026 | TRY 3.81 | TRY 4.14 | TRY 3.63 | TRY 4.06 | 171 912 328 |
| Jul 13, 2026 | TRY 3.96 | TRY 4.03 | TRY 3.63 | TRY 3.81 | 120 365 474 |
| Jul 10, 2026 | TRY 4.15 | TRY 4.46 | TRY 3.74 | TRY 3.74 | 176 388 523 |
| Jul 09, 2026 | TRY 4.48 | TRY 4.75 | TRY 4.11 | TRY 4.15 | 172 030 017 |
| Jul 08, 2026 | TRY 4.81 | TRY 5.10 | TRY 4.45 | TRY 4.48 | 170 404 298 |
| Jul 07, 2026 | TRY 5.00 | TRY 5.27 | TRY 4.50 | TRY 4.94 | 392 225 176 |
| Jul 06, 2026 | TRY 4.70 | TRY 4.89 | TRY 4.68 | TRY 4.89 | 42 807 945 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use KOCMT.IS stock historical prices to predict future price movements?
Trend Analysis: Examine the KOCMT.IS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the KOCMT.IS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.
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