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Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

Quant Q&A
Dokumentu skaits: 20,364
SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
Dokumentu skaits: 7,090
BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
Dokumentu skaits: 3,012
TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
Dokumentu skaits: 1,507
Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
Dokumentu skaits: 1,124
arXiv papers
Dokumentu skaits: 1,033
Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
Dokumentu skaits: 560
QuantInsti blog
Dokumentu skaits: 511
Galaxy Research
Dokumentu skaits: 340
QuantStart
Dokumentu skaits: 246
Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
Dokumentu skaits: 191
Hummingbot docs
Dokumentu skaits: 181
Paradigm research
Dokumentu skaits: 175
Lumibot
Dokumentu skaits: 164
Kraken Learn
Dokumentu skaits: 163
Kvantitatīvās tirdzniecības kursu bibliotēka
Dokumentu skaits: 157
OctoBot
Dokumentu skaits: 152
Cryptohopper blog
Dokumentu skaits: 144
Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
Dokumentu skaits: 116
TqSdk
Dokumentu skaits: 86
Quantpedia
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
Dokumentu skaits: 62
Awesome Systematic Trading
Dokumentu skaits: 61
backtrader
Dokumentu skaits: 54
vn.py
Dokumentu skaits: 50
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
Dokumentu skaits: 45
FMZ guides
Dokumentu skaits: 38
pysystemtrade
Dokumentu skaits: 34
Freqtrade docs
Dokumentu skaits: 32
quant-trading
Dokumentu skaits: 31
FinRL
Dokumentu skaits: 28
Zipline
Dokumentu skaits: 22
FMZ live strategies
Dokumentu skaits: 21
Jesse
Dokumentu skaits: 17
pyfolio
Dokumentu skaits: 16
Alphalens
Dokumentu skaits: 14
WonderTrader
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
QuantRocket
Dokumentu skaits: 7
Lumibot strategies
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 3,481

BigQuant

This article introduces alpha and beta through market and multifactor models, describing alpha as return unexplained by modeled risk exposures. It explains how active portfolios might seek positive alpha while keeping factor exposures aligned with a…

Faktoru ieguldīšanaPortfeļa veidošanaStatistikaRiska pārvaldība
BigQuant

This document explains the PB-ROE framework as a valuation relationship: higher expected return on equity is associated with higher price-to-book multiples, with log PB described as linearly related to expected ROE. It reviews the theoretical basis and…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This document profiles the China Securities Consumer Leaders Index, which selects 50 large, higher-quality companies from the discretionary and staple consumer sectors across the Shanghai and Shenzhen markets. It is intended to represent leading consumer…

AkcijasĶīnas tirgiFaktoru ieguldīšana
BigQuant

This study describes using the CCK model to identify herding in Chinese equity indices. Herding is associated with constituents moving in the same direction: their return correlations rise while the cross-sectional dispersion of returns falls. The analysis…

AkcijasStatistikaĶīnas tirgiVēsturisko datu pārbaude
BigQuant

This forum exchange addresses an error encountered when adding a code-list module to a factor analysis workflow. The reply explains that the code-list module returns a dictionary rather than a DataSource object, which is the type expected by the factor…

Faktoru ieguldīšanaAkcijasStatistika
BigQuant

This forum question compares the first dates that three rolling SQL calculations return values: a moving average, a standard deviation, and a regression slope, each configured with a 40-observation window. The example applies them to stock data and reports…

StatistikaAkcijas
BigQuant

Maximum drawdown measures the largest percentage decline from a previous peak to a later trough over a chosen observation period. The document gives the formula and explains that the peak must come before the trough, then walks through a stock price sequence…

StatistikaRiska pārvaldība
BigQuant

A user asks about an error in a shared quantitative strategy. The response points to a mismatch between the data universe and the requested features: index data does not provide certain return and price fields that are available for stocks, futures, or…

MašīnmācīšanāsStatistika
BigQuant

This article discusses the difficulties faced by quantitative index-enhancement funds after a period of rapid product launches and asset growth. It reports that some funds failed to generate positive alpha, lagged their benchmarks, or experienced declines in…

AkcijasFaktoru ieguldīšanaRiska pārvaldībaPortfeļa veidošana
BigQuant

This brief BigQuant post reports a test combining rolling model training with LightGBM and an experimental factor described as “暗流涌动” (roughly, hidden currents). The author says the factor's standalone effect is not prominent, but it may contribute something…

MašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This short BigQuant support note addresses a rolling-training workflow failure. It explains that a custom module was continuing to read data from an earlier module instead of receiving data that changed with the rolling time window. As a result, a later…

MašīnmācīšanāsVēsturisko datu pārbaude
BigQuant

This article explains sharp intraday stock rallies through changes in order book liquidity. It argues that price movement depends less on aggregate figures for aggressive buying and selling than on whether market buys consume the resting sell orders ahead of…

AkcijasTirgus mikrostruktūraRīkojumu izpildeĶīnas tirgi
BigQuant

This note proposes an equity factor that adds cross-sectional percentile ranks for year-over-year growth in recent net profit, the negative of a ten-period turnover sum, and the negative of total market capitalization. The intended interpretation is that…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This commodity research framework organizes iron ore price drivers into fundamental supply, demand, and inventory factors, alongside a separate sentiment category. It discusses practical handling of slower and irregularly updated fundamental data, including…

IzejvielasNākotnes līgumiSekošana tendenceiStatistika
BigQuant

The report groups stocks into seven broad sleeves, including financials, technology and media, consumer, cyclical, manufacturing, healthcare, and Hong Kong equities. It examines active domestic equity fund allocations, noting shifts away from consumer stocks…

AkcijasĶīnas tirgiVēsturisko datu pārbaude
BigQuant

This research summary describes a method for grouping stocks with similar price behavior so that an investor can substitute one holding for another within a group. It builds on a grouping genetic algorithm, representing groups, stocks, and portfolio…

AkcijasMašīnmācīšanāsPortfeļa veidošanaStatistika
BigQuant

The note examines an attempted A-share stock-selection strategy that combined dividend yield and price-to-sales signals with equal scoring weights while retaining both screens. The author reports that the combined strategy backtested substantially worse than…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudeĶīnas tirgi
BigQuant

This brief BigQuant support exchange addresses a runtime error stating that a NoneType value is not iterable. The answer attributes the problem to data containing missing or abnormal values, such as absent factor values or gaps in the underlying data. It…

StatistikaVēsturisko datu pārbaude
BigQuant

This Chinese equity screen combines a daily price-range condition, a reversal pattern, and opening-auction activity. It first filters for stocks whose high-to-low range exceeds one percent, then looks for a reversal, and finally ranks qualifying names by…

AkcijasCenas impulssTehniskie indikatoriRīkojumu izpilde
BigQuant

More Chan Theory is presented as a practical simplification of Chan-style price analysis. It drops the traditional recursive pen-and-segment hierarchy, using two levels: the current-level pivot and lower-level segments. The method uses MA5 and MA34 to help…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensĶīnas tirgi
BigQuant

This programming note explains how to keep a rolling cache of recent bars for use in strategies that calculate time-series indicators from live data. A bounded array is updated from bar callbacks, and strategy logic waits until the cache is initialized…

Tehniskie indikatoriRīkojumu izpildeAugstas frekvences tirdzniecība
BigQuant

This research note organizes convertible-bond factors into three groups: factors from the underlying stock, factors describing the bond-stock relationship, and the convertible bond’s own price and volume behavior. It reports that earnings yield and…

Fiksēta ienākuma instrumentiOpcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This research overview presents a framework for studying high-frequency equity factors, emphasizing both incremental information and the economic logic behind observed returns. It uses linear models, factor statistics, and portfolio backtests to assess a…

AkcijasAugstas frekvences tirdzniecībaFaktoru ieguldīšanaAtgriešanās pie vidējās vērtības
BigQuant

The article describes a workflow for finding S&P 500 healthcare companies that develop or use AI. It filters the index by industry, gathers recent company news, and uses a large language model to summarize products, technologies, and research activity.…

AkcijasMašīnmācīšanāsPortfeļa veidošanaTirgus noskaņojums