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Zināšanu bibliotēka

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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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
WonderTrader
Dokumentu skaits: 14
Alphalens
Dokumentu skaits: 14
backtesting.py
Dokumentu skaits: 11
Technical Analysis
Dokumentu skaits: 9
QTPyLib
Dokumentu skaits: 8
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 3,481

BigQuant

The document explains how to refer to the prior day’s K and D values from a KDJ indicator in a factor expression. It recommends applying a one-period shift to the desired indicator series. The example uses the K series, and the same approach applies to the D…

Tehniskie indikatori
BigQuant

This Chinese equity strategy seeks stocks that open at the daily upper price limit and remain there, using a platform field to identify the condition. It first excludes special-treatment stocks, suspended stocks, and Beijing Stock Exchange listings, then…

AkcijasCenas impulssĶīnas tirgiPozīcijas apjoma noteikšana
BigQuant

This meetup outline raises questions about constructing sector or industry factors, measuring correlations among industries, and choosing industry classifications that reflect granularity and supply-chain relationships. It identifies these as topics for…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaRīkojumu izpilde
BigQuant

This report explains the risk-prediction component of a multi-factor investment framework. It describes estimating a structured risk matrix from factor covariance and specific-risk components, with adjustments intended to improve consistency and accuracy.…

AkcijasFaktoru ieguldīšanaSvārstīgumsRiska pārvaldība
BigQuant

This short assignment outlines a basic path from investment experience to systematic strategy development. The author mentions buy-and-hold contributions to gold and Nasdaq exposure, stock subscriptions, and stock selection informed by company fundamentals,…

AkcijasIzejvielasTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

This article presents four ways traders may interpret unusually high trading volume in stocks. After a prolonged decline, a volume spike is framed as a possible sign of selling exhaustion and accumulation. Heavy volume after an extended rise is treated as a…

AkcijasTehniskie indikatoriCenas izrāviensRiska pārvaldība
BigQuant

This report introduces quantitative funds in China and distinguishes three operating models. Active quantitative funds use models to select stocks in search of returns above a benchmark. Index-enhanced funds combine index exposure with model-based stock…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This research constructs a stock-selection factor from the short-term correlation between trading volume and price movement. It uses that relationship to distinguish stocks whose volume and price move together from those that diverge, then ranks stocks for a…

AkcijasFaktoru ieguldīšanaStatistikaVēsturisko datu pārbaude
BigQuant

This research summary describes a corporate-governance factor for Chinese equities, built from 58 measures across board structure, ownership and shareholders, financial governance, compensation and incentives, governance conduct, and external oversight. It…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This research summary measures listed companies’ earnings quality by the relative size of accruals in reported profits, then tests accruals as a stock selection factor in China’s A-share market. Its regression findings describe operating profit as…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
BigQuant

The document challenges the claim that US rules define high-frequency trading by a fixed limit of 15 orders per second, contrasting that claim with a behavior-based way of identifying high-frequency activity. It lists characteristics such as automated order…

Augstas frekvences tirdzniecībaTirgus mikrostruktūraRīkojumu izpildeASV tirgi
BigQuant

This brief platform discussion asks how to inspect the output of an intermediate neural-network layer in a visual workflow. One reply recommends adding and running a notebook cell after execution, inspecting the layer object’s properties, and reading its…

Mašīnmācīšanās
BigQuant

This brief troubleshooting note addresses a Python AttributeError raised when a strategy tries to access a last-sale-date attribute on a Zipline equity object. The suggested correction is to build the holdings mapping from each position’s equity symbol and…

Akcijas
BigQuant

This account develops an equity-selection process that compares equal-weighted factor rankings with weights that adapt to each factor’s recent Rank IC information ratio. It describes screening a large factor pool for missing data, outliers, redundancy,…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaStatistika
BigQuant

The document describes five visual clues that it associates with concentrated control of a stock’s float: prices rising on declining volume, orderly pullbacks that hold support, brief intraday volume spikes, stair-step advances with bounded consolidations,…

AkcijasTehniskie indikatoriCenas impulssCenas izrāviens
BigQuant

The document describes four chart patterns that it interprets as possible consolidation after a stock reaches its daily limit-up price: a three-candle sequence with long upper and lower shadows, a sideways stretch of small bullish candles or dojis above the…

AkcijasTehniskie indikatoriCenas izrāviensCenas impulss
BigQuant

This Chinese equities research reproduction develops a cross-sectional factor from minute-level volume surges. A surge is defined when the minute-to-minute volume increase exceeds that stock’s daily average increase by one standard deviation. For each surge,…

AkcijasFaktoru ieguldīšanaAugstas frekvences tirdzniecībaStatistika
BigQuant

This document summarizes a research report on recurring changes in traditional equity factor performance, including value, momentum, low volatility, and quality. Its central idea is to identify factor regimes from the factors’ own return histories, since the…

AkcijasFaktoru ieguldīšanaCenas impulssSvārstīgums
BigQuant

This brief indicator note introduces Chaikin Money Flow (CMF) and gives its calculation from high, low, close, and volume data over a lookback window. For each bar, it weights volume according to where the close falls within that bar’s high-low range: closes…

Tehniskie indikatoriStatistika
BigQuant

This research summary reviews the US retirement system through three pillars: federal retirement benefits, employer-sponsored pension plans, and individual retirement accounts. It compares their contribution or collection arrangements, asset management, and…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaAkcijas
BigQuant

This Chinese-language research summary reviews interim earnings forecasts for ChiNext, a Chinese growth-stock board. It reports that 703 listed companies had published forecasts and evaluates profit growth using free-float market-cap weighting. The analysis…

AkcijasĶīnas tirgiStatistikaFaktoru ieguldīšana
BigQuant

This study proposes a monthly stock-selection factor based on how prices respond when individual stocks experience unusually large intraday increases in trading volume. It identifies spikes by comparing each minute’s volume increase with that stock’s daily…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

A BigQuant user reports an error stating that an expression argument was expected to be a string but instead was null. The reported fix is to enable the position formula option in the position allocation module. This identifies a configuration setting that…

Rīkojumu izpildePozīcijas apjoma noteikšana
BigQuant

The report studies momentum-based rotation among 15 E Fund industry, theme, and selected broad-market ETFs. It compares 20-, 60-, and 120-day return momentum measures, using information coefficient and ranked portfolio tests over a historical Chinese market…

Ķīnas tirgiVairāku aktīvu tirdzniecībaCenas impulssPortfeļa veidošana