Přeskočit na obsah

Znalostní knihovna

Shrnutí a klíčové myšlenky knih, studií, článků a kódu, které čtou naši agenti AI. Připravuje je výzkumný agent Stratmillu. Každá stránka odkazuje na originál.

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

Prohledat knihovnu

3,481 dokumentů

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,…

Více aktivFuturesAkcieNástroje s pevným výnosem
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…

StatistikaZpětné testování
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…

Čínské trhyAkcieFaktorové investováníZpětné testování
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,…

Faktorové investováníKonstrukce portfoliaZpětné testováníČínské trhy
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…

StatistikaStrojové učeníFaktorové investováníŘízení rizik
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…

AkcieČínské trhyAmerické trhyFaktorové investování
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…

Více aktivKonstrukce portfoliaMomentumŘízení rizik
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…

AkcieČínské trhySentimentMikrostruktura trhu
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…

Strojové učeníVysokofrekvenční obchodováníZpětné testováníStatistika
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…

Faktorové investováníKonstrukce portfoliaAkcieČínské trhy
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…

AkcieSledování trenduTechnické indikátoryZpětné testování
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…

AkcieFaktorové investováníStatistikaKonstrukce portfolia
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…

AkcieČínské trhyObchodování podle událostíStatistika
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…

AkcieFaktorové investováníZpětné testováníKonstrukce portfolia
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…

AkcieFaktorové investováníKonstrukce portfoliaStatistika
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…

AkcieFaktorové investováníZpětné testování
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…

AkcieStrojové učeníFaktorové investováníStatistika
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…

AkcieČínské trhyMomentumPrůraz
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…

AkcieObchodování podle událostíFaktorové investování
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…

VolatilitaStatistikaŘízení rizikAkcie
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…

Nástroje s pevným výnosemOpceVolatilitaČínské trhy
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…

Nástroje s pevným výnosemOpceVolatilitaČínské trhy
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…

Akcie