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Date,Open,High,Low,Close,Volume 15-Apr-14,536.82,538.45,518.46,5453 14-Apr-14,538.25,544.10,529.56,5020 11-Apr-14,532.55,540.00,526.53,5171 10-Apr-14,565.00,565.00,539.90,5743 9-Apr-14,559.62,565.37,552.95,5742 8-Apr-14,542.60,555.00,541.61,5406 7-Apr-14,540.74,548.48,527.15,5569 4-Apr-14,574.65,577.77,543.00,5658 3-Apr-14,569.85,587.28,564.13,5530 2-Apr-14,570.38,571.83,561.44,5804 1-Apr-14,559.57,568.18,558.44,5. EXCHANGE%3DINDEXSP MARKET_OPEN_MINUTE=570 MARKET_CLOSE_MINUTE=960 INTERVAL=86400 COLUMNS=DATE,CLOSE,HIGH,LOW,OPEN,VOLUME,CDAYS DATA= TIMEZONE_OFFSET=-240 a,18.84,18.94,1 1,1890.9,18.79,1808732,1 2,18.8,18.42,1 3,18.28,18.04,1 6,18.04,18.21,1 7,18.95,18.67,1 8,18.43,18.95,1 9,18.53,18.18,1 10,18.07,18.71,1 13,18.19,1815.8,1845814,1 14,18.02,18.17,1 Example of Java code. EXCHANGE%3DINDEXSP MARKET_OPEN_MINUTE=570 MARKET_CLOSE_MINUTE=960 INTERVAL=86400 COLUMNS=DATE,CLOSE,HIGH,LOW,OPEN,VOLUME,CDAYS DATA= TIMEZONE_OFFSET=-240 a,18.84,18.94,1 1,1890.9,18.79,1808732,1 2,18.8,18.42,1 3,18.28,18.04,1 6,18.04,18.21,1 7,18.95,18.67,1 8,18.43,18.95,1 9,18.53,18.18,1 10,18.07,18.71,1 13,18.19,1815.8,1845814,1 14,18.02,18.17,1. GOOG.Open GOOG.High GOOG.Low GOOG.Close GOOG.Volume 559.57 568.18 558.44 5 570.38 571.83 561.44 5804 569.85 587.28 564.13 5530 574.65 577.77 543.00 5658 540.74 548.48 527.15 5569 542.60 555.00 541.61 5406 559.62 565.37 552.95 5742 565.00 565.00 539.90 5743 532.55 540.00 526.53 5171 538.25 544.10 529.56 5020 536.82 538.45 518.46 5453 Unfortunately, it does not seem to work for S&P 500 (INDEXSP.INX) This is the end of this series. ![]() I've been trying to build a trading algorithm and fooled myself into thinking it worked. Turns out, Google Finance quite often returns the wrong data. Not 'sorry, we couldn't return data for this stock' - but factually incorrect closing prices for each day. Case in point: Just look at how for weeks at a time Google thinks the price remained the same, when theydidn't. Can someone confirm the data is actually incorrect and there isn't a great explanation behind why the prices being displayed are what they are? Additionally if you have suggestions in mind about how to recognise stocks with bad data so they can be ignored or a better API for that matter, it'd help a lot!
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