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
WonderTrader
14 dokumentů
Alphalens
14 dokumentů
backtesting.py
11 dokumentů
Technical Analysis
9 dokumentů
QTPyLib
8 dokumentů
Lumibot strategies
7 dokumentů
QuantRocket
7 dokumentů
Awesome Quant
1 dokumentů

Prohledat knihovnu

3,481 dokumentů

BigQuant

This meetup note surveys several topics in equity quant work. It outlines reversal-factor ideas based on recent returns, technical indicators such as RSI and Bollinger Bands, and fundamental changes such as valuation or a return to profitability. It suggests…

AkcieNávrat k průměruTechnické indikátoryFaktorové investování
BigQuant

This assignment outlines a style-rotation process built from three stock strategies: small-capitalization, below-book-value, and oversold-rebound approaches. After backtesting each strategy, it proposes saving the return and position series, then comparing…

Čínské trhyAkcieFaktorové investováníNávrat k průměru
BigQuant

This article proposes four warning signs to watch for during an equity boom: historically extreme valuation multiples, a high ratio of total stock-market capitalization to GDP, broad insider selling, and speculative surges in weak or distressed stocks. It…

AkcieŘízení rizikSentimentČínské trhy
BigQuant

This report examines how portfolio optimization settings affect a multi-factor equity strategy. It considers the interaction of active-weight limits with the lambda coefficient, the share of non-index constituents, industry and size exposures, turnover…

AkcieFaktorové investováníKonstrukce portfoliaŘízení rizik
BigQuant

This Chinese-language research summary examines analyst consensus estimates as a source of information beyond company financial statements and trading data. It cautions that analyst forecasts tend to be optimistic and that A-share consensus estimates often…

AkcieFaktorové investováníČínské trhyZpětné testování
BigQuant

The author describes a stock-selection approach intended for people who cannot monitor prices throughout the trading day. Signals are checked at 2:50 p.m.; the proposed routine is to buy a leading candidate scoring above 6 before the close, and to skip…

AkcieČínské trhyMomentumZpětné testování
BigQuant

This short platform discussion distinguishes a backtest’s pre-market processing from live or simulated trading. In a backtest, the pre-market step may access the current day’s opening price, allowing a rule to use that price to decide on afternoon trading…

Zpětné testováníProvádění pokynů
BigQuant

This note outlines a basic toolkit for constructing low-frequency factors from price and trading data. For each selected input, it proposes calculating rolling means, sums, standard deviations, and skewness over several lookback windows, ranging from short…

AkcieFaktorové investováníTechnické indikátoryStatistika
BigQuant

The discussion addresses a user who sees a cloud task appear stopped after reopening a browser and asks for more detailed logs. The platform response says closing the browser does not stop the program running in the cloud, but output logs cannot be…

Zpětné testováníProvádění pokynů
BigQuant

The document raises a question about reproducing a 60-day moving-average comparison in a Chinese quantitative research platform. The user’s feature flags observations when a close-price series is below a 60-day mean calculated from prices divided by an…

Technické indikátoryStatistikaAkcie
BigQuant

This note presents a simple crossover interpretation of Kaufman’s Adaptive Moving Average. It describes a possible entry when price has been below the indicator and a bullish candle moves above it. A downward cross, especially when the indicator changes…

Technické indikátorySledování trenduAkcie
BigQuant

This brief BigQuant discussion answers how to retrieve the MACD histogram value for the day on which the highest close occurred within a prior 30-day window. The suggested workflow is to use a time-series argmax function to locate the offset of the maximum…

Technické indikátoryAkcie
BigQuant

The document explains MACD as a trend and momentum indicator made up of a MACD line, a signal line, and a histogram. It describes bullish signals when the MACD line crosses above the signal line or rises while below zero, and bearish signals when it crosses…

Technické indikátoryMomentumSledování trenduAkcie
BigQuant

This research summary describes adapting daily price-volume alpha research to intraday high-frequency data for stock selection. It examines relationships between price and volume, including ordinary and unusual activity, and reports constructing three…

AkcieVysokofrekvenční obchodováníFaktorové investováníStatistika
BigQuant

This brief Chinese-language forum post reports a data-quality issue discovered while debugging backtests: some runs returned no results, and inspection showed that certain factors were empty in many cases. The author notes that noticing the missing values…

Zpětné testováníStrojové učeníStatistika
BigQuant

This technical note introduces the Money Flow Index (MFI) and outlines its calculation from high, low, close, and volume data over a chosen lookback period. It first computes typical price as the average of the day's high, low, and close. Volume-weighted…

Technické indikátoryAkcieStatistika
BigQuant

The post reports a BigQuant backtest failure with a KeyError for the start_date field. The example pipeline screens Chinese stocks, uses recent fund holdings and moving-average conditions to generate signals, ranks selected stocks by market capitalization,…

Čínské trhyAkcieTechnické indikátoryZpětné testování
BigQuant

This report excerpt reviews Chinese equity market performance and factor behavior for the week summarized in an early 2020 research note. It says major indices and most sectors fell during the week, while quality factor effectiveness improved and analyst…

AkcieFaktorové investováníMomentumNávrat k průměru
BigQuant

This essay argues that experienced investors may communicate in a direct, plainspoken way because they have worked through complexity and learned to focus on what they understand. It frames simplicity as the result of discernment rather than lack of…

Řízení rizikStatistika
BigQuant

This article explains how a rolling average smooths a time series and why longer lookback windows produce smoother but slower signals. It compares simple, exponential, linearly weighted, triangular, and volatility-adjusted moving averages, focusing on how…

Technické indikátorySledování trenduMomentumFutures
BigQuant

This document summarizes lifecycle funds, which adjust their asset allocation as a target date approaches. The described approach gradually reduces portfolio risk over time, with the aim of matching investment risk to the holder’s changing capacity for risk…

Více aktivKonstrukce portfoliaŘízení rizikČínské trhy
BigQuant

The note addresses a stock forecasting workflow that displayed an unexpected prediction date and failed when publishing a simulated trade. Its proposed fix is to make sure the training period and prediction period are not set to the same dates. This is a…

AkcieStrojové učení
BigQuant

This document introduces a pivot indicator that uses high and low prices together with left- and right-strength parameters. It describes locating local lows and highs within a rolling window whose size depends on those settings, then comparing how recently…

Technické indikátoryStatistika
BigQuant

This short exchange explains how to interpret a long-short portfolio return in factor analysis and how to select a chosen group from a factor-ranked universe. It describes the long-short spread as the return from buying the lowest-ranked group and selling…

Faktorové investováníKonstrukce portfoliaČínské trhy