Siirry sisältöön

Tietokirjasto

Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.

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

Hae kirjastosta

3,481 dokumenttia

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…

Tekniset indikaattorit
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…

OsakkeetHintamomentumKiinan markkinatPosition koon määrittäminen
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…

Kiinan markkinatOsakkeetFaktoripohjainen sijoittaminenToimeksiantojen toteutus
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.…

OsakkeetFaktoripohjainen sijoittaminenVolatiliteettiRiskienhallinta
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,…

OsakkeetRaaka-aineetTekniset indikaattoritHistoriatestaus
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…

OsakkeetTekniset indikaattoritLäpimurtoRiskienhallinta
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…

Kiinan markkinatOsakkeetFaktoripohjainen sijoittaminenSalkun muodostaminen
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…

OsakkeetFaktoripohjainen sijoittaminenTilastotiedeHistoriatestaus
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…

OsakkeetKiinan markkinatFaktoripohjainen sijoittaminenSalkun muodostaminen
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…

Kiinan markkinatOsakkeetFaktoripohjainen sijoittaminenTilastotiede
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…

Korkean taajuuden kaupankäyntiMarkkinoiden mikrorakenneToimeksiantojen toteutusYhdysvaltain markkinat
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…

Koneoppiminen
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…

Osakkeet
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,…

Kiinan markkinatOsakkeetFaktoripohjainen sijoittaminenTilastotiede
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,…

OsakkeetTekniset indikaattoritHintamomentumLäpimurto
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…

OsakkeetTekniset indikaattoritLäpimurtoHintamomentum
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,…

OsakkeetFaktoripohjainen sijoittaminenKorkean taajuuden kaupankäyntiTilastotiede
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…

OsakkeetFaktoripohjainen sijoittaminenHintamomentumVolatiliteetti
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…

Tekniset indikaattoritTilastotiede
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…

Usean omaisuuslajin sijoittaminenSalkun muodostaminenOsakkeet
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…

OsakkeetKiinan markkinatTilastotiedeFaktoripohjainen sijoittaminen
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…

OsakkeetFaktoripohjainen sijoittaminenTekniset indikaattoritHistoriatestaus
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…

Toimeksiantojen toteutusPosition koon määrittäminen
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…

Kiinan markkinatUsean omaisuuslajin sijoittaminenHintamomentumSalkun muodostaminen