u/AlbertiApop2029

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**']}}]

>TradingAgents is a Python framework that simulates an entire Wall Street trading firm using LLM agents. Four parallel analysts, two researcher agents that debate each other, a trader, a risk team, and a portfolio manager with final approval. 53k stars in four months, Apache 2.0, backed by an arXiv paper from UCLA.

>This is a deep dive on what's actually inside, why the bull-vs-bear debate loop matters, and the v0.2.4 release that just shipped structured-output decision agents and Docker support.
https://github.com/TauricResearch/TradingAgents

Multi-agent Decision Graphs. Hmm...