Liigu sisu juurde

Teadmiste raamatukogu

Kokkuvõtted ja põhiideed raamatutest, teadustöödest, artiklitest ja koodist, mida meie AI-agendid loevad. Need on koostanud Stratmilli uurimisagent. Igal lehel on link originaalile.

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

Otsi raamatukogust

3,481 dokumenti

BigQuant

This Chinese A-share strategy combines small-cap selection, volume and price signals, valuation limits, and a broad-market timing filter. Its universe includes main-board and ChiNext stocks, excludes specified boards, special-treatment shares, and suspended…

AktsiadHiina turudMomentumTehnilised indikaatorid
BigQuant

The document answers whether a grid strategy can be applied across all stocks, trained, and used to generate selections on the platform. It says a grid trading template is available and that handling multiple instruments requires adding loop logic to apply…

VõrgukauplemineAktsiad
BigQuant

This BigQuant support note explains why some stocks may disappear during a feature-extraction workflow. It gives two configuration suggestions: leave the feature module’s start and end dates blank when those dates should be inherited from the upstream…

AktsiadHiina turudTagantjärele testimineStatistika
BigQuant

This learning exercise describes an investor's established approach of making long-term, recurring purchases of index ETFs, including funds tracking large-cap Chinese, Hong Kong technology, and US technology markets. The account does not specify purchase…

AktsiadMitme varaklassigaPortfelli koostamineTagantjärele testimine
BigQuant

The document is a BigQuant community report about a permission error raised when a SQL-mode feature query scans the daily stock-bar table. The query shown selects volume rank, a close-based return, and market capitalization, then filters status, removes rows…

AktsiadHiina turudTehingute täitmine
BigQuant

This study examines whether supplier and customer links help explain dependence between listed companies’ returns. It constructs a directed company network from Bloomberg relationship data, resolving cases with links in both directions by choosing the…

AktsiadStatistikaRiskijuhtiminePortfelli koostamine
BigQuant

This brief BigQuant forum discussion concerns a Python error indicating that a queried instrument has no listing date. The suggested explanation is that the requested time window is too short to return data. A query spanning only February 21 to February 22,…

AktsiadTehingute täitmine
BigQuant

This forum reply addresses a stock-selection condition that compares a five-period exponential moving average with a 169-period average. It explains that the longer average requires a data history spanning at least 169 days before the condition can produce…

AktsiadTehnilised indikaatoridTrendijärgimineStatistika
BigQuant

This guide surveys data services that researchers and developers might use for market quotes and historical bars. It discusses Google Finance, Finnhub, iTick, and Bloomberg, describing their stated coverage across assets such as stocks, currencies, indices,…

Mitme varaklassigaValuutaturgKrüptoAktsiad
BigQuant

The report addresses a problem in Chinese equities: stock-level momentum at monthly frequency can weaken a conventional reversal factor, even where reversal appears more prevalent overall. Its proposed “team-coin” factor draws on an analogy between expecting…

AktsiadHiina turudMomentumKeskmise juurde naasmine
BigQuant

A short developer forum exchange diagnoses a problem that appears when the CTP and CTP test interfaces are loaded in the same VeighNa application. The initial question concerns which API files are accessed and why a DLL in the test interface directory does…

FutuuridTehingute täitmineTuru mikrostruktuur
BigQuant

This research summary examines whether outside demands on independent directors weaken their oversight and advice. It identifies personal events and pressures at other companies, such as illness, leadership changes, major transactions, investigations, or…

AktsiadStatistikaRiskijuhtimine
BigQuant

This note introduces the Dual Thrust indicator and specifies how to calculate its upper and lower bands from recent price data. It compares the recent high-to-close range with the close-to-low range, uses the larger value as the reference range, then offsets…

Tehnilised indikaatoridLäbimurreVolatiilsus
BigQuant

This Chinese-language report summary describes an A-share stock selection approach combining an earnings surprise proxy with the price gap after an earnings announcement. Instead of comparing reported profit directly with analyst expectations, it identifies…

Hiina turudAktsiadSündmustepõhineMomentum
BigQuant

The article examines how benchmark choice affects estimates of active mutual fund skill. It distinguishes investable index benchmarks from factor-based benchmarks, arguing that omitted common risks can bias factor-model alpha, while choosing the wrong index…

AktsiadStatistikaPortfelli koostamineTagantjärele testimine
BigQuant

This opinion piece argues that the growth of algorithmic trading has weakened familiar short-term, sentiment-driven approaches in China’s A-share market. It recommends avoiding impulsive entries during sharp rises, considering staged buying after panic…

Hiina turudAktsiadTurusentimentRiskijuhtimine
BigQuant

A platform support exchange explains one reason a strategy may produce trades in backtesting but no signals in simulated trading. The strategy’s prediction start and end dates were tied to live-trading parameters, while no lookback days were requested.…

Tagantjärele testimineStatistikaTehingute täitmine
BigQuant

This research note examines an active-trading factor, called ACT, that characterizes aggressive versus passive order flow in China’s A-share market. It reports that the standard ACT measure has limited stock-selection ability, then splits observations by…

AktsiadHiina turudFaktorinvesteerimineTuru mikrostruktuur
BigQuant

This document outlines an A-share stock-selection rule requiring turnover between 3% and 12%, a rising DEA signal, and an opening price from 2% below to 5% above the previous close. It provides example indicator formulas and Python-style logic that…

AktsiadHiina turudTehnilised indikaatoridMomentum
BigQuant

This translated summary of BlackRock’s 2022 outlook argues that markets were entering a regime distinct from the prior half century. It expected inflation to settle above its pre-pandemic trend, central banks to respond more slowly than in past cycles, and…

Mitme varaklassigaAktsiadFikseeritud tuluga väärtpaberidRiskijuhtimine
BigQuant

The document presents a Chinese-stock ranking workflow embedded in a report about a Papermill execution error that arose when submitting a strategy for simulated trading. It constructs price, volume, valuation, and technical features, creates a…

Hiina turudAktsiadMasinõpeTehnilised indikaatorid
BigQuant

The document summarizes a research approach that reframes asset allocation as factor allocation. It selects macroeconomic and style factors, estimates each asset class’s exposure, and builds a factor-mimicking portfolio for each factor. It then forecasts…

Mitme varaklassigaFaktorinvesteeriminePortfelli koostamineRiskijuhtimine
BigQuant

This summary of a securities research report outlines China’s three-pillar pension system: public basic pensions, employer-sponsored plans, and individual or household savings. It distinguishes the public schemes for urban employees from the scheme covering…

Hiina turudFikseeritud tuluga väärtpaberidMitme varaklassigaRiskijuhtimine
BigQuant

This research outline proposes using value at risk (VaR) and stock factors to estimate future downside risk. It examines factors across several dimensions, selects those judged effective, and combines them into a multifactor model intended to quantify…

AktsiadStatistikaRiskijuhtimineFaktorinvesteerimine