Pāriet uz saturu

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
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 examines how often an investor should make decisions when each decision reflects some degree of skill and incurs trading costs. It models repeated independent outcomes and argues that expected compounded return depends nonlinearly on skill,…

Vairāku aktīvu tirdzniecībaNākotnes līgumiAkcijasFiksēta ienākuma instrumenti
BigQuant

A user questions why a reported monthly return is negative when most of the month appeared positive. The reply explains that the earlier portion of the equity curve was above its zero reference, but losses in the final days brought the curve below zero. It…

StatistikaVēsturisko datu pārbaude
BigQuant

This event announcement describes a session on using Cowork to build a quantitative market-timing process and apply it to a small-cap stock strategy. The proposed approach uses macroeconomic indices as timing inputs and presents a multi-factor timing…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This report explains a value-versus-growth rotation strategy built around the idea that returns can come from deliberate exposure to style factors as well as broad market risk. It links shifts in style leadership to investor sentiment and risk appetite,…

Faktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaudeĶīnas tirgi
BigQuant

This review describes a Bayesian dynamic panel model for evaluating US mutual fund performance and its persistence. The model allows fund returns to have time-varying variance and covariance, cross-fund dependence, serial correlation, latent volatility, and…

StatistikaMašīnmācīšanāsFaktoru ieguldīšanaRiska pārvaldība
BigQuant

This document summarizes Zhongtai’s annual outlook for 2022, presenting views on Chinese and U.S. markets, policy, liquidity, and sector opportunities. It anticipates gradual easing in China’s property stance without a full housing-cycle restart, a…

AkcijasĶīnas tirgiASV tirgiFaktoru ieguldīšana
BigQuant

The report combines risk parity with the Black-Litterman framework to build stock-and-bond and broader multi-asset portfolios. It uses risk-parity weights as the prior allocation, short-term momentum as an investment view, and Black-Litterman to estimate…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaCenas impulssRiska pārvaldība
BigQuant

This article argues that during Chinese sector rallies, a highly visible limit-up leader may serve as an attention and sentiment anchor while larger positions are accumulated or exited across less prominent related stocks. It describes a sequence in which…

AkcijasĶīnas tirgiTirgus noskaņojumsTirgus mikrostruktūra
BigQuant

This document summarizes several modeling choices for quantitative trading. It argues that machine learning may be easier to apply in high frequency strategies than in lower frequency settings, and that nonlinear models can capture more from data than linear…

MašīnmācīšanāsAugstas frekvences tirdzniecībaVēsturisko datu pārbaudeStatistika
BigQuant

The report frames asset allocation as exposure to underlying risk factors rather than simply to asset categories. It distinguishes macro factors, which represent shared risks across asset classes, from investable style factors, which explain risk premia…

Faktoru ieguldīšanaPortfeļa veidošanaAkcijasĶīnas tirgi
BigQuant

This tutorial introduces Matplotlib as a Python library for visualizing data and walks through common chart types and layout tools. Examples show how to plot one or more series, customize line colors and markers, create scatter plots with variable point size…

Statistika
BigQuant

This Chinese equity strategy applies a simple Turtle-inspired rule to five named stocks. It defines a recent high using the highest closing price over 20 sessions and a recent low using the lowest close over 10 sessions. The stated rule buys when the high…

AkcijasSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
BigQuant

This report consolidates tests of 78 factors across eight categories, comparing grouped portfolio returns, statistical independence measures, single-period and cumulative returns, t-statistics, and measures of return variability. It also examines…

AkcijasFaktoru ieguldīšanaStatistikaPortfeļa veidošana
BigQuant

This research summary examines whether announcements of institutional investor visits to A-share companies contain information about subsequent stock returns. It describes the events as usually involving specific-company visits, a small number of…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaStatistika
BigQuant

This event description frames index enhancement as tracking a benchmark while seeking excess returns. It outlines a workflow involving single-factor screening, backtest construction, and parameter tuning, and presents a live demonstration that purportedly…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudePortfeļa veidošana
BigQuant

The report examines how index-enhancement funds generate returns above their benchmarks. It separates active returns into industry selection, stock selection within industries, and their interaction, then compares stock selection within index constituents…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
BigQuant

The document discusses how to evaluate a stock factor using portfolios formed by sorting stocks on factor values. In a long–short comparison, the return spread is calculated between the group ranked highest by the factor and the group ranked lowest by the…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This discussion concerns adapting a stock-ranking template to use financial factors in a machine-learning strategy. The author describes a forward-return label based on buying at the next day’s open and selling at the close five trading days later, then asks…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaStatistika
BigQuant

This proposed short-term A-share strategy selects ordinary shares that have closed at the daily limit for two consecutive sessions and belong to concepts ranking near the top by both recent three-session and fifteen-session returns. It excludes specified…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
BigQuant

The document describes a proposed equity screen that starts with executive share-change announcements and then ranks eligible stocks using multiple factors. At each rebalance, the investor would look for relevant announcements published between the current…

AkcijasUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšana
BigQuant

The document explains what a useful volatility model should capture: volatility clustering and persistence, eventual mean reversion, asymmetric responses to positive and negative return shocks, effects from external variables and scheduled events, and…

SvārstīgumsStatistikaRiska pārvaldībaAkcijas
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fiksēta ienākuma instrumentiOpcijasSvārstīgumsĶīnas tirgi
BigQuant

This document introduces convertible bonds as instruments combining debt with an option to convert into the issuer’s shares. It outlines core contract features: face value, conversion price and period, coupon, conditional early redemption, and investor put…

Fiksēta ienākuma instrumentiOpcijasSvārstīgumsĶīnas tirgi
BigQuant

This note recommends two research papers on behavioral finance and equity anomalies. The first examines how journalists’ experience, education, and industry knowledge relate to the accuracy of merger news when rumors circulate. It reports that vague wording…

Akcijas