diff --git a/index.html b/index.html index 52e7ae5..c41a6bb 100644 --- a/index.html +++ b/index.html @@ -31,7 +31,7 @@

A curated list of insanely awesome libraries, packages and resources for Quants.

Maintained by Wilson Freitas

- 544 projects + 545 projects 21 languages
@@ -252,7 +252,7 @@ Numerical Libraries & Data Structures 14.7k - 2026-05-29 + 2026-05-30 @@ -3383,13 +3383,13 @@ - + 128 Vibe-Trading Trading & Backtesting - 9k + 9k 2026-05-30 @@ -4448,13 +4448,13 @@ - + 169 Qlib Trading & Backtesting - 43.7k + 43.7k 2026-04-22 @@ -7731,13 +7731,13 @@ - + 295 Facebook Prophet Time Series Analysis - 20.2k + 20.2k 2026-02-02 @@ -9342,8 +9342,34 @@ - + 357 + + bigtech-ai-stakes + Market Data & Data Sources + + 2 + 2026-05-09 + + + + + + + + + +
+

Open dataset of U.S. public-company equity stakes in Anthropic and OpenAI from primary 10-K / 10-Q / 8-K filings, court records, and press releases. Each row tagged with a confidence flag (V verified, P probable, S speculative).

+ +
+ + + + 358 cn_stock_src Market Data & Data Sources @@ -9369,7 +9395,7 @@ - 358 + 359 coinmarketcap Market Data & Data Sources @@ -9395,7 +9421,7 @@ - 359 + 360 coinpulse Market Data & Data Sources @@ -9421,7 +9447,7 @@ - 360 + 361 after-hours Market Data & Data Sources @@ -9447,7 +9473,7 @@ - 361 + 362 bronto-python Market Data & Data Sources @@ -9474,7 +9500,7 @@ - 362 + 363 pytdx Market Data & Data Sources @@ -9500,7 +9526,7 @@ - 363 + 364 pdblp Market Data & Data Sources @@ -9526,7 +9552,7 @@ - 364 + 365 tiingo Market Data & Data Sources @@ -9552,7 +9578,7 @@ - 365 + 366 iexfinance Market Data & Data Sources @@ -9578,7 +9604,7 @@ - 366 + 367 pyEX Market Data & Data Sources @@ -9604,7 +9630,7 @@ - 367 + 368 alpaca-trade-api Market Data & Data Sources @@ -9630,7 +9656,7 @@ - 368 + 369 metatrader5 Market Data & Data Sources @@ -9656,7 +9682,7 @@ - 369 + 370 akshare Market Data & Data Sources @@ -9682,7 +9708,7 @@ - 370 + 371 yahooquery Market Data & Data Sources @@ -9708,7 +9734,7 @@ - 371 + 372 investpy Market Data & Data Sources @@ -9734,7 +9760,7 @@ - 372 + 373 yliveticker Market Data & Data Sources @@ -9760,7 +9786,7 @@ - 373 + 374 bbgbridge Market Data & Data Sources @@ -9786,7 +9812,7 @@ - 374 + 375 polygon.io Market Data & Data Sources @@ -9812,7 +9838,7 @@ - 375 + 376 alpha_vantage Market Data & Data Sources @@ -9838,7 +9864,7 @@ - 376 + 377 oilpriceapi Market Data & Data Sources @@ -9864,7 +9890,7 @@ - 377 + 378 FinanceDataReader Market Data & Data Sources @@ -9890,7 +9916,7 @@ - 378 + 379 pystlouisfed Market Data & Data Sources @@ -9916,7 +9942,7 @@ - 379 + 380 python-bcb Market Data & Data Sources @@ -9942,7 +9968,7 @@ - 380 + 381 swiss-finance-data Market Data & Data Sources @@ -9968,7 +9994,7 @@ - 381 + 382 market-prices Market Data & Data Sources @@ -9994,7 +10020,7 @@ - 382 + 383 tardis-python Market Data & Data Sources @@ -10020,7 +10046,7 @@ - 383 + 384 lake-api Market Data & Data Sources @@ -10046,7 +10072,7 @@ - 384 + 385 tessa Market Data & Data Sources @@ -10072,7 +10098,7 @@ - 385 + 386 pandaSDMX Market Data & Data Sources @@ -10098,7 +10124,7 @@ - 386 + 387 cif Market Data & Data Sources @@ -10124,7 +10150,7 @@ - 387 + 388 finagg Market Data & Data Sources @@ -10150,7 +10176,7 @@ - 388 + 389 FinanceDatabase Market Data & Data Sources @@ -10176,7 +10202,7 @@ - 389 + 390 Trading Strategy Market Data & Data Sources @@ -10202,7 +10228,7 @@ - 390 + 391 datamule-python Market Data & Data Sources @@ -10228,7 +10254,7 @@ - 391 + 392 fsynth Market Data & Data Sources @@ -10254,7 +10280,7 @@ - 392 + 393 fedfred Market Data & Data Sources @@ -10279,7 +10305,7 @@ - 393 + 394 edgar-sec Market Data & Data Sources @@ -10304,7 +10330,7 @@ - 394 + 395 edgartools Market Data & Data Sources @@ -10330,7 +10356,7 @@ - 395 + 396 FXMacroData Market Data & Data Sources @@ -10356,7 +10382,7 @@ - 396 + 397 uk-sic-codes Market Data & Data Sources @@ -10382,7 +10408,7 @@ - 397 + 398 uk-company-number Market Data & Data Sources @@ -10408,7 +10434,7 @@ - 398 + 399 veroq-python Market Data & Data Sources @@ -10434,7 +10460,7 @@ - 399 + 400 IBrokers Market Data & Data Sources @@ -10460,7 +10486,7 @@ - 400 + 401 Rblpapi Market Data & Data Sources @@ -10486,7 +10512,7 @@ - 401 + 402 Rbitcoin Market Data & Data Sources @@ -10512,7 +10538,7 @@ - 402 + 403 GetTDData Market Data & Data Sources @@ -10538,7 +10564,7 @@ - 403 + 404 GetHFData Market Data & Data Sources @@ -10564,7 +10590,7 @@ - 404 + 405 td Market Data & Data Sources @@ -10590,7 +10616,7 @@ - 405 + 406 rbcb Market Data & Data Sources @@ -10616,7 +10642,7 @@ - 406 + 407 rb3 Market Data & Data Sources @@ -10642,7 +10668,7 @@ - 407 + 408 simfinapi Market Data & Data Sources @@ -10668,7 +10694,7 @@ - 408 + 409 tidyfinance Market Data & Data Sources @@ -10694,7 +10720,7 @@ - 409 + 410 CcyConv.jl Market Data & Data Sources @@ -10720,7 +10746,7 @@ - 410 + 411 CryptoExchangeAPIs.jl Market Data & Data Sources @@ -10746,7 +10772,7 @@ - 411 + 412 MarketData.jl Market Data & Data Sources @@ -10772,7 +10798,7 @@ - 412 + 413 OnlineResamplers.jl Market Data & Data Sources @@ -10798,7 +10824,7 @@ - 413 + 414 PENDAX Market Data & Data Sources @@ -10824,7 +10850,7 @@ - 414 + 415 PreReason Market Data & Data Sources @@ -10850,7 +10876,7 @@ - 415 + 416 marketstore Market Data & Data Sources @@ -10876,7 +10902,7 @@ - 416 + 417 fin-stream Market Data & Data Sources @@ -10902,7 +10928,7 @@ - 417 + 418 finalytics Market Data & Data Sources @@ -10928,7 +10954,7 @@ - 418 + 419 Coinugget Market Data & Data Sources @@ -10953,7 +10979,7 @@ - 419 + 420 pmxt Prediction Markets @@ -10980,7 +11006,7 @@ - 420 + 421 polymarket-whales Prediction Markets @@ -11006,7 +11032,7 @@ - 421 + 422 Polymarket Scanner API Prediction Markets @@ -11032,7 +11058,7 @@ - 422 + 423 SimpleFunctions Prediction Markets @@ -11058,7 +11084,7 @@ - 423 + 424 pmxt Prediction Markets @@ -11085,7 +11111,7 @@ - 424 + 425 PolyMind Prediction Markets @@ -11111,7 +11137,7 @@ - 425 + 426 prediction-market-maker Prediction Markets @@ -11137,7 +11163,7 @@ - 426 + 427 Oracle3 Prediction Markets @@ -11163,7 +11189,7 @@ - 427 + 428 exchange_calendars Calendars & Market Hours @@ -11189,7 +11215,7 @@ - 428 + 429 bizdays Calendars & Market Hours @@ -11215,7 +11241,7 @@ - 429 + 430 pandas_market_calendars Calendars & Market Hours @@ -11241,7 +11267,7 @@ - 430 + 431 timeDate Calendars & Market Hours @@ -11267,7 +11293,7 @@ - 431 + 432 bizdays Calendars & Market Hours @@ -11293,7 +11319,7 @@ - 432 + 433 D-Tale Visualization @@ -11319,7 +11345,7 @@ - 433 + 434 mplfinance Visualization @@ -11345,7 +11371,7 @@ - 434 + 435 finplot Visualization @@ -11371,7 +11397,7 @@ - 435 + 436 finvizfinance Visualization @@ -11397,7 +11423,7 @@ - 436 + 437 market-analy Visualization @@ -11423,7 +11449,7 @@ - 437 + 438 QuantInvestStrats Visualization @@ -11449,7 +11475,7 @@ - 438 + 439 LightweightCharts.jl Visualization @@ -11475,7 +11501,7 @@ - 439 + 440 QUANTAXIS_Webkit Visualization @@ -11501,7 +11527,7 @@ - 440 + 441 dxcharts-lite Visualization @@ -11527,7 +11553,7 @@ - 441 + 442 xlwings Excel & Spreadsheet Integration @@ -11553,7 +11579,7 @@ - 442 + 443 openpyxl Excel & Spreadsheet Integration @@ -11578,7 +11604,7 @@ - 443 + 444 xlrd Excel & Spreadsheet Integration @@ -11604,7 +11630,7 @@ - 444 + 445 xlsxwriter Excel & Spreadsheet Integration @@ -11630,7 +11656,7 @@ - 445 + 446 xlwt Excel & Spreadsheet Integration @@ -11656,7 +11682,7 @@ - 446 + 447 xlloop Excel & Spreadsheet Integration @@ -11682,7 +11708,7 @@ - 447 + 448 expy Excel & Spreadsheet Integration @@ -11707,7 +11733,7 @@ - 448 + 449 pyxll Excel & Spreadsheet Integration @@ -11732,7 +11758,7 @@ - 449 + 450 Jupyter Quant Quant Research Environments @@ -11758,7 +11784,7 @@ - 450 + 451 RunMat Cross-Language Frameworks @@ -11783,7 +11809,7 @@ - 451 + 452 QuantLibRisks Cross-Language Frameworks @@ -11808,7 +11834,7 @@ - 452 + 453 XAD Cross-Language Frameworks @@ -11833,7 +11859,7 @@ - 453 + 454 QuantLib Cross-Language Frameworks @@ -11858,7 +11884,7 @@ - 454 + 455 JQuantLib Cross-Language Frameworks @@ -11883,7 +11909,7 @@ - 455 + 456 RQuantLib Cross-Language Frameworks @@ -11908,7 +11934,7 @@ - 456 + 457 QuantLibAddin Cross-Language Frameworks @@ -11932,7 +11958,7 @@ - 457 + 458 QuantLibXL Cross-Language Frameworks @@ -11956,7 +11982,7 @@ - 458 + 459 QLNet Cross-Language Frameworks @@ -11981,7 +12007,7 @@ - 459 + 460 PyQL Cross-Language Frameworks @@ -12006,7 +12032,7 @@ - 460 + 461 QuantLib.jl Cross-Language Frameworks @@ -12031,7 +12057,7 @@ - 461 + 462 QuantLib-Python Documentation Cross-Language Frameworks @@ -12055,7 +12081,7 @@ - 462 + 463 TA-Lib Cross-Language Frameworks @@ -12080,7 +12106,7 @@ - 463 + 464 RunMat Cross-Language Frameworks @@ -12105,7 +12131,7 @@ - 464 + 465 Special-Relativity-in-Financial-Modeling Reproducing Works, Training & Books @@ -12130,7 +12156,7 @@ - 465 + 466 Auto-Differentiation Website Reproducing Works, Training & Books @@ -12154,7 +12180,7 @@ - 466 + 467 Derman Papers Reproducing Works, Training & Books @@ -12179,7 +12205,7 @@ - 467 + 468 volatility-trading Reproducing Works, Training & Books @@ -12204,7 +12230,7 @@ - 468 + 469 quant Reproducing Works, Training & Books @@ -12229,7 +12255,7 @@ - 469 + 470 fecon235 Reproducing Works, Training & Books @@ -12254,7 +12280,7 @@ - 470 + 471 Quantitative-Notebooks Reproducing Works, Training & Books @@ -12279,7 +12305,7 @@ - 471 + 472 QuantEcon Reproducing Works, Training & Books @@ -12303,7 +12329,7 @@ - 472 + 473 FinanceHub Reproducing Works, Training & Books @@ -12328,7 +12354,7 @@ - 473 + 474 Python_Option_Pricing Reproducing Works, Training & Books @@ -12353,7 +12379,7 @@ - 474 + 475 python-training Reproducing Works, Training & Books @@ -12378,7 +12404,7 @@ - 475 + 476 Stock_Analysis_For_Quant Reproducing Works, Training & Books @@ -12403,7 +12429,7 @@ - 476 + 477 algorithmic-trading-with-python Reproducing Works, Training & Books @@ -12428,7 +12454,7 @@ - 477 + 478 MEDIUM_NoteBook Reproducing Works, Training & Books @@ -12453,7 +12479,7 @@ - 478 + 479 QuantFinance Reproducing Works, Training & Books @@ -12478,7 +12504,7 @@ - 479 + 480 IPythonScripts Reproducing Works, Training & Books @@ -12503,7 +12529,7 @@ - 480 + 481 Computational-Finance-Course Reproducing Works, Training & Books @@ -12528,7 +12554,7 @@ - 481 + 482 Machine-Learning-for-Asset-Managers Reproducing Works, Training & Books @@ -12553,7 +12579,7 @@ - 482 + 483 Python-for-Finance-Cookbook Reproducing Works, Training & Books @@ -12578,7 +12604,7 @@ - 483 + 484 modelos_vol_derivativos Reproducing Works, Training & Books @@ -12603,7 +12629,7 @@ - 484 + 485 NMOF Reproducing Works, Training & Books @@ -12628,7 +12654,7 @@ - 485 + 486 py4fi2nd Reproducing Works, Training & Books @@ -12653,7 +12679,7 @@ - 486 + 487 aiif Reproducing Works, Training & Books @@ -12678,7 +12704,7 @@ - 487 + 488 py4at Reproducing Works, Training & Books @@ -12703,7 +12729,7 @@ - 488 + 489 dawp Reproducing Works, Training & Books @@ -12728,7 +12754,7 @@ - 489 + 490 dx Reproducing Works, Training & Books @@ -12753,7 +12779,7 @@ - 490 + 491 QuantFinanceBook Reproducing Works, Training & Books @@ -12778,7 +12804,7 @@ - 491 + 492 rough_bergomi Reproducing Works, Training & Books @@ -12803,7 +12829,7 @@ - 492 + 493 frh-fx Reproducing Works, Training & Books @@ -12828,7 +12854,7 @@ - 493 + 494 Value Investing Studies Reproducing Works, Training & Books @@ -12853,7 +12879,7 @@ - 494 + 495 Machine Learning Asset Management Reproducing Works, Training & Books @@ -12878,7 +12904,7 @@ - 495 + 496 Deep Learning Machine Learning Stock Reproducing Works, Training & Books @@ -12903,7 +12929,7 @@ - 496 + 497 Technical Analysis and Feature Engineering Reproducing Works, Training & Books @@ -12928,7 +12954,7 @@ - 497 + 498 Differential Machine Learning and Axes that matter by Brian Huge and Antoine Savine Reproducing Works, Training & Books @@ -12953,7 +12979,7 @@ - 498 + 499 systematictradingexamples Reproducing Works, Training & Books @@ -12978,7 +13004,7 @@ - 499 + 500 pysystemtrade_examples Reproducing Works, Training & Books @@ -13003,7 +13029,7 @@ - 500 + 501 ML_Finance_Codes Reproducing Works, Training & Books @@ -13028,7 +13054,7 @@ - 501 + 502 Hands-On Machine Learning for Algorithmic Trading Reproducing Works, Training & Books @@ -13053,7 +13079,7 @@ - 502 + 503 financialnoob-misc Reproducing Works, Training & Books @@ -13078,7 +13104,7 @@ - 503 + 504 MesoSim Options Trading Strategy Library Reproducing Works, Training & Books @@ -13103,7 +13129,7 @@ - 504 + 505 Quant-Finance-With-Python-Code Reproducing Works, Training & Books @@ -13128,7 +13154,7 @@ - 505 + 506 QuantFinanceTraining Reproducing Works, Training & Books @@ -13153,7 +13179,7 @@ - 506 + 507 Statistical-Learning-based-Portfolio-Optimization Reproducing Works, Training & Books @@ -13178,7 +13204,7 @@ - 507 + 508 book_irds3 Reproducing Works, Training & Books @@ -13203,7 +13229,7 @@ - 508 + 509 Autoencoder-Asset-Pricing-Models Reproducing Works, Training & Books @@ -13228,7 +13254,7 @@ - 509 + 510 Finance Reproducing Works, Training & Books @@ -13253,7 +13279,7 @@ - 510 + 511 101_formulaic_alphas Reproducing Works, Training & Books @@ -13278,7 +13304,7 @@ - 511 + 512 Tidy Finance Reproducing Works, Training & Books @@ -13302,7 +13328,7 @@ - 512 + 513 RoughVolatilityWorkshop Reproducing Works, Training & Books @@ -13327,7 +13353,7 @@ - 513 + 514 AFML Reproducing Works, Training & Books @@ -13352,7 +13378,7 @@ - 514 + 515 AlgoTradingLib Reproducing Works, Training & Books @@ -13377,7 +13403,7 @@ - 515 + 516 Portfolio Optimization Book Reproducing Works, Training & Books @@ -13402,7 +13428,7 @@ - 516 + 517 Chartscout Commercial & Proprietary Services @@ -13426,7 +13452,7 @@ - 517 + 518 DayTradingBench Commercial & Proprietary Services @@ -13450,7 +13476,7 @@ - 518 + 519 CoinTester Commercial & Proprietary Services @@ -13474,7 +13500,7 @@ - 519 + 520 goMacro.ai Commercial & Proprietary Services @@ -13498,7 +13524,7 @@ - 520 + 521 StockAInsights Commercial & Proprietary Services @@ -13522,7 +13548,7 @@ - 521 + 522 StockVektor Commercial & Proprietary Services @@ -13546,7 +13572,7 @@ - 522 + 523 bolsai Commercial & Proprietary Services @@ -13570,7 +13596,7 @@ - 523 + 524 brapi.dev Commercial & Proprietary Services @@ -13594,7 +13620,7 @@ - 524 + 525 13F Insight Commercial & Proprietary Services @@ -13618,7 +13644,7 @@ - 525 + 526 Earnings Feed Commercial & Proprietary Services @@ -13642,7 +13668,7 @@ - 526 + 527 Financial Data Commercial & Proprietary Services @@ -13666,7 +13692,7 @@ - 527 + 528 Frostbyte Commercial & Proprietary Services @@ -13690,7 +13716,7 @@ - 528 + 529 SaxoOpenAPI Commercial & Proprietary Services @@ -13714,7 +13740,7 @@ - 529 + 530 RTPR Commercial & Proprietary Services @@ -13738,7 +13764,7 @@ - 530 + 531 Nasdaq Data Link Commercial & Proprietary Services @@ -13762,7 +13788,7 @@ - 531 + 532 Parsec Commercial & Proprietary Services @@ -13786,7 +13812,7 @@ - 532 + 533 Portfolio Optimizer Commercial & Proprietary Services @@ -13810,7 +13836,7 @@ - 533 + 534 Reddit WallstreetBets API Commercial & Proprietary Services @@ -13834,7 +13860,7 @@ - 534 + 535 System R Commercial & Proprietary Services @@ -13858,7 +13884,7 @@ - 535 + 536 Telonex Commercial & Proprietary Services @@ -13882,7 +13908,7 @@ - 536 + 537 ValueRay Commercial & Proprietary Services @@ -13906,7 +13932,7 @@ - 537 + 538 VertData Commercial & Proprietary Services @@ -13930,7 +13956,7 @@ - 538 + 539 KeepRule Commercial & Proprietary Services @@ -13954,7 +13980,7 @@ - 539 + 540 ML-Quant Commercial & Proprietary Services @@ -13978,7 +14004,7 @@ - 540 + 541 RealMarketAPI Commercial & Proprietary Services @@ -14002,7 +14028,7 @@ - 541 + 542 Webb Database Commercial & Proprietary Services @@ -14026,7 +14052,7 @@ - 542 + 543 GitDealFlow Commercial & Proprietary Services @@ -14050,7 +14076,7 @@ - 543 + 544 awesome-sec-filings Related Lists @@ -14075,7 +14101,7 @@ - 544 + 545 CONVEXFI Related Lists diff --git a/projects.csv b/projects.csv index 0d15b24..660eadb 100644 --- a/projects.csv +++ b/projects.csv @@ -5,7 +5,7 @@ pandas,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & polars,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-29,38627,https://docs.pola.rs/,Polars is a blazingly fast DataFrame library for manipulating structured data. [GitHub](https://github.com/pola-rs/polars),True,False,False,False,pola-rs/polars quantdsl,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2017-10-26,381,https://github.com/johnbywater/quantdsl,Domain specific language for quantitative analytics in finance and trading.,True,False,False,False,johnbywater/quantdsl statistics,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,,0,https://docs.python.org/3/library/statistics.html,Builtin Python library for all basic statistical calculations.,False,False,False,False, -sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-29,14655,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy +sympy,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-30,14655,https://www.sympy.org/,SymPy is a Python library for symbolic mathematics. [GitHub](https://github.com/sympy/sympy),True,False,False,False,sympy/sympy pymc3,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-20,9625,https://docs.pymc.io/,Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano. [GitHub](https://github.com/pymc-devs/pymc),True,False,False,False,pymc-devs/pymc modelx,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-23,129,https://docs.modelx.io/,Python reimagination of spreadsheets as formula-centric objects that are interoperable with pandas. [GitHub](https://github.com/fumitoh/modelx),True,False,False,False,fumitoh/modelx ArcticDB,Python,Python,Numerical Libraries & Data Structures,Numerical Libraries & Data Structures,numerical-libraries-data-structures,2026-05-29,2369,https://github.com/man-group/ArcticDB,High performance datastore for time series and tick data.,True,False,False,False,man-group/ArcticDB @@ -126,7 +126,7 @@ income-desk,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-ba AI Quant Agents,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-03-24,9,https://github.com/demandai/ai-quant-agents,"Multi-agent LLM trading analysis where 12 AI agents (analysts, debaters, risk manager) debate stock picks in real-time, supporting US equities and China A-shares.",True,False,False,False,demandai/ai-quant-agents TradeSight,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-20,82,https://github.com/rmbell09-lang/tradesight,"Self-hosted AI trading platform with strategy evolution, technical analysis, backtesting, and paper trading via Alpaca.",True,False,False,False,rmbell09-lang/tradesight Orallexa,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-29,38,https://github.com/alex-jb/orallexa-ai-trading-agent,"AI trading operating system with 9 ML models (RF, XGBoost, EMAformer, MOIRAI-2, Chronos-2, DDPM, PPO RL, GNN, LR) ranked by Sharpe ratio, Claude AI synthesis with dual-tier routing (~$0.003/analysis), real-time Next.js dashboard, Alpaca paper trading, and 277 automated tests.",True,False,False,False,alex-jb/orallexa-ai-trading-agent -Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,9016,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading +Vibe-Trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,9017,https://github.com/HKUDS/Vibe-Trading,"Natural-language multi-agent finance research agent with 29 swarm presets, 70 skills, and 28 auto-discovered tools; 7 backtest engines covering A-shares/US/Crypto/Futures/Forex/Options plus a cross-market CompositeEngine with shared capital pool; 5-source auto-fallback data layer (tushare/okx/yfinance/akshare/ccxt); 17-tool MCP server; includes trade-journal behavioral diagnostics for 同花顺/东财/富途 exports.",True,False,False,False,HKUDS/Vibe-Trading DeepAlpha,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-12,21,https://deepalphabot.com,"AI crypto trading bot for Bybit with 70.9% walk-forward validated accuracy on out-of-sample data, LightGBM + XGBoost ensemble with 72 ML features. [GitHub](https://github.com/stefanoviana/deepalpha)",True,False,False,False,stefanoviana/deepalpha the0,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-24,259,https://github.com/alexanderwanyoike/the0,"Self-hosted execution engine for algorithmic trading bots. Write strategies in Python, TypeScript, Rust, C++, C#, Scala, or Haskell and deploy with one command. Each bot runs in an isolated container with scheduled or streaming execution.",True,False,False,False,alexanderwanyoike/the0 Investing algorithm framework,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-24,1233,https://github.com/coding-kitties/investing-algorithm-framework,"Framework for developing, backtesting, and deploying automated trading algorithms.",True,False,False,False,coding-kitties/investing-algorithm-framework @@ -167,7 +167,7 @@ qtpylib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backte Quantdom,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2019-03-12,766,https://github.com/constverum/Quantdom,Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:.],True,False,False,False,constverum/Quantdom freqtrade,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-30,50914,https://github.com/freqtrade/freqtrade,"Free, open source crypto trading bot.",True,False,False,False,freqtrade/freqtrade algorithmic-trading-with-python,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2021-06-01,3398,https://github.com/chrisconlan/algorithmic-trading-with-python,"Free `pandas` and `scikit-learn` resources for trading simulation, backtesting, and machine learning on financial data.",True,False,False,False,chrisconlan/algorithmic-trading-with-python -Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,43724,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib +Qlib,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-04-22,43725,https://github.com/microsoft/qlib,"An AI-oriented Quantitative Investment Platform by Microsoft. Full ML pipeline of data processing, model training, back-testing; and covers the entire chain of quantitative investment: alpha seeking, risk modeling, portfolio optimization, and order execution.",True,False,False,False,microsoft/qlib machine-learning-for-trading,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2023-03-05,17414,https://github.com/stefan-jansen/machine-learning-for-trading,Code and resources for Machine Learning for Algorithmic Trading.,True,False,False,False,stefan-jansen/machine-learning-for-trading AlphaPy,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2025-08-24,1728,https://github.com/ScottfreeLLC/AlphaPy,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",True,False,False,False,ScottfreeLLC/AlphaPy jesse,Python,Python,Trading & Backtesting,Trading & Backtesting,trading-backtesting,2026-05-26,7958,https://github.com/jesse-ai/jesse,An advanced crypto trading bot written in Python.,True,False,False,False,jesse-ai/jesse @@ -293,7 +293,7 @@ statsmodels,Python,Python,Time Series Analysis,Time Series Analysis,time-series- dynts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2016-11-02,87,https://github.com/quantmind/dynts,Python package for timeseries analysis and manipulation.,True,False,False,False,quantmind/dynts PyFlux,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2018-12-16,2142,https://github.com/RJT1990/pyflux,Python library for timeseries modelling and inference (frequentist and Bayesian) on models.,True,False,False,False,RJT1990/pyflux tsfresh,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-15,9218,https://github.com/blue-yonder/tsfresh,Automatic extraction of relevant features from time series.,True,False,False,False,blue-yonder/tsfresh -Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20206,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet +Facebook Prophet,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-02-02,20207,https://github.com/facebook/prophet,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.,True,False,False,False,facebook/prophet tsmoothie,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2023-11-23,772,https://github.com/cerlymarco/tsmoothie,A python library for time-series smoothing and outlier detection in a vectorized way.,True,False,False,False,cerlymarco/tsmoothie pmdarima,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2025-11-17,1724,https://github.com/alkaline-ml/pmdarima,"A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.",True,False,False,False,alkaline-ml/pmdarima gluon-ts,Python,Python,Time Series Analysis,Time Series Analysis,time-series-analysis,2026-05-08,5196,https://github.com/awslabs/gluon-ts,vProbabilistic time series modeling in Python.,True,False,False,False,awslabs/gluon-ts @@ -355,6 +355,7 @@ edinetdb,Python,Python,Market Data & Data Sources,Market Data & Data Sources,mar edinet-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-22,11,https://github.com/ajtgjmdjp/edinet-mcp,"Parse Japanese XBRL financial statements from EDINET with 161 normalized labels, 26 financial metrics, and multi-company screening.",True,False,False,False,ajtgjmdjp/edinet-mcp estat-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-04-05,5,https://github.com/ajtgjmdjp/estat-mcp,"Access Japanese government statistics (e-Stat) covering population, GDP, CPI, labor, and trade data with MCP integration and Polars export.",True,False,False,False,ajtgjmdjp/estat-mcp tdnet-disclosure-mcp,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-03-02,3,https://github.com/ajtgjmdjp/tdnet-disclosure-mcp,"Access Japanese timely disclosures (TDNet) via MCP. Retrieve earnings, dividends, forecasts, buybacks, and other filings for 4,000+ listed companies. No API key required.",True,False,False,False,ajtgjmdjp/tdnet-disclosure-mcp +bigtech-ai-stakes,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-05-09,2,https://github.com/YichengYang-Ethan/bigtech-ai-stakes,"Open dataset of U.S. public-company equity stakes in Anthropic and OpenAI from primary 10-K / 10-Q / 8-K filings, court records, and press releases. Each row tagged with a confidence flag (V verified, P probable, S speculative).",True,False,False,False,YichengYang-Ethan/bigtech-ai-stakes cn_stock_src,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2016-02-29,34,https://github.com/jealous/cn_stock_src,Utility for retrieving basic China stock data from different sources.,True,False,False,False,jealous/cn_stock_src coinmarketcap,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2023-05-23,435,https://github.com/barnumbirr/coinmarketcap,Python API for coinmarketcap.,True,False,False,False,barnumbirr/coinmarketcap coinpulse,Python,Python,Market Data & Data Sources,Market Data & Data Sources,market-data-data-sources,2026-01-09,2,https://github.com/soutone/coinpulse-python,"Python SDK for cryptocurrency portfolio tracking with real-time prices, P/L calculations, and price alerts. Free tier available.",True,False,False,False,soutone/coinpulse-python