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I have a big question that what should one prefer while preparing for quant role
Like if one paltform goes for all rooes like dev, resear her etc or diffewnt platform are recommended for different people's???
I genuienly have this question..
I want to know about quant analyst or quant researcher role
Hi, I am an MTech student in computer science. I want to work on finance domain with machine learning. So can you suggest me some research topic. On which we can work for last year thesis. During my MTech my major focus on machine learning and deep learning around topic. But I have an interest in the finance domain also I did some project like https://github.com/Zdong104/FNSPID_Financial_News_Dataset with market regime. But now I am finding an solid research topic for the my final year. Is there any suggestion for this ?
I’m 16, so I’m still pretty young, but I’m interested in going into quantitative finance as a career path. I’m not sure it’ll help but I slipped a grade so I’m also going into my senior year. I know that the hours are brutal starting out and internships are extremely rare to come out (I have the plan of being an actuary if things don’t work out), but I think I have a shot at being a quant and I would enjoy it.
I wanted to ask you guys if for any guidance that I might be able to get for my situation, whether it be colleges to apply to, activities to do in high school, subjects to self-study, or something else entirely.
I‘m planning on applying to NYU and UChicago, but I‘m not too confident that I’ll get in. Also, I‘m in Florida so UF might be viable.
I‘m more sure if my math background will help, but I took calc 3 and diff equs last year, and tested out of calculus 1 and 2 the year before. I also self-studied quite a bit, I know fundamental real analysis and what I think is slightly advanced probability theory— I am good at learning math quickly.
Any advice is appreciated, and thank you in advance!
Apparently, an array is not an array, and a list is not a dictionary, but a dictionary is an object, but the host doesn't like strings or ints and object is not the correct type, nor does NoneType want to get filtered out, so I found .dropna() but it doesn't work when I want it too; and I'm not really sure what the hell this thing is that Schwab is sending me... Is this an array?
XD Back to basics!
(Python != Java) == Heh! Send it to to Pandas!!!
[{'errors': {'invalidSymbols': ['USD***']}}, {'F': {'assetMainType': 'EQUITY', 'assetSubType': 'COE', 'quoteType': 'NBBO', 'realtime': True, 'ssid': 939285091, 'symbol': 'F', 'extended': {'askPrice': 11.75, 'askSize': 100, 'bidPrice': 11.7, 'bidSize': 100, 'lastPrice': 11.74, 'lastSize': 5, 'mark': 11.74, 'quoteTime': 1778025987000, 'totalVolume': 0, 'tradeTime': 1778026088000}, 'fundamental': {'avg10DaysVolume': 40957266.0, 'avg1YearVolume': 80769837.0, 'declarationDate': '2026-04-28T00:00:00Z', 'divAmount': 0.6, 'divExDate': '2026-05-12T00:00:00Z', 'divFreq': 4, 'divPayAmount': 0.15, 'divPayDate': '2026-06-01T00:00:00Z', 'divYield': 5.05051, 'eps': -2.06, 'fundLeverageFactor': 0.0, 'lastEarningsDate': '2026-04-29T00:00:00Z', 'nextDivExDate': '2026-08-12T00:00:00Z', 'nextDivPayDate': '2026-09-01T00:00:00Z', 'peRatio': -7.49586, 'sharesOutstanding': 3913840554}, 'quote': {'52WeekHigh': 14.795, '52WeekLow': 9.88, 'askMICId': 'ARCX', 'askPrice': 11.71, 'askSize': 2700, 'askTime': 1778025595145, 'bidMICId': 'ARCX', 'bidPrice': 11.7, 'bidSize': 1800, 'bidTime': 1778025600013, 'closePrice': 11.5, 'highPrice': 11.79, 'lastMICId': 'XADF', 'lastPrice': 11.7065, 'lastSize': 27, 'lowPrice': 11.555, 'mark': 11.7, 'markChange': 0.2, 'markPercentChange': 1.73913043, 'netChange': 0.2065, 'netPercentChange': 1.79565217, 'openPrice': 11.56, 'postMarketChange': 0.0165, 'postMarketPercentChange': 0.14114628, 'quoteTime': 1778025600013, 'securityStatus': 'Normal', 'totalVolume': 42262077, 'tradeTime': 1778025595148}, 'reference': {'cusip': '345370860', 'description': 'FORD MTR CO DEL', 'exchange': 'N', 'exchangeName': 'NYSE', 'isHardToBorrow': False, 'isShortable': True, 'htbRate': 0.0, 'optionable': True}, 'regular': {'regularMarketLastPrice': 11.69, 'regularMarketLastSize': 3256028, 'regularMarketNetChange': 0.19, 'regularMarketPercentChange': 1.65217391, 'regularMarketTradeTime': 1778022000002}}}, {'errors': {'invalidSymbols': ['-PL260618P28']}}, {'errors': {'invalidSymbols': ['GMEWS']}}, {'errors': {'invalidSymbols': ['SPAXX**']}}, {'SPAXX': {'assetMainType': 'MUTUAL_FUND', 'assetSubType': 'MMF', 'realtime': True, 'ssid': 1637153742, 'symbol': 'SPAXX', 'fundamental': {'avg10DaysVolume': 0.0, 'avg1YearVolume': 0.0, 'declarationDate': '2026-04-30T00:00:00Z', 'divAmount': 0.0324, 'divExDate': '2026-04-30T00:00:00Z', 'divFreq': 12, 'divPayAmount': 0.0027, 'divPayDate': '2026-05-01T00:00:00Z', 'divYield': 4.2217, 'eps': 0.0, 'fundLeverageFactor': 0.0, 'nextDivExDate': '2026-06-01T00:00:00Z', 'nextDivPayDate': '2026-06-01T00:00:00Z', 'peRatio': 0.0}, 'quote': {'52WeekHigh': 1.0, '52WeekLow': 1.0, 'lastPrice': 1.0, 'closePrice': 1.0, 'nAV': 1.0, 'netChange': 0.0, 'netPercentChange': 0.0, 'securityStatus': 'Normal', 'tradeTime': 1777867200000}, 'reference': {'cusip': '31617H102', 'description': 'FIDELITY GOVERNMENT MMKT', 'exchange': '3', 'exchangeName': 'Mutual Fund'}}}, {'errors': {'invalidSymbols': ['CORE**']}}]