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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

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

Caută în bibliotecă

3,481 documente

BigQuant

This support thread explains that NaT represents a missing or invalid date value and describes a simulated trading failure in BigQuant. The reported traceback shows NaT reaching a date lookup in the data portal, followed by a comparison error between an…

StatisticăPiețele din China
BigQuant

The document describes APB, a family of cross-sectional stock factors intended to estimate buying and selling pressure from the relationship between price and trading volume. Its premise is that buying concentrated at lower prices and selling concentrated at…

AcțiuniInvestiții bazate pe factoriStatisticăMicrostructura pieței
BigQuant

This article presents four technical exit signals for stocks in an advancing market: a high-volume break below the 5-day moving average, a large bearish candle on heavy volume near a high, a new high reached on declining volume, and a break below the 10-day…

AcțiuniIndicatori tehniciGestionarea riscului
BigQuant

This research summary reviews portfolio optimization choices, including transaction-cost penalties, turnover and tracking-error limits, risk aversion, position bounds, style-factor exposure, and limits on the number of holdings. It explains that stricter…

Construirea portofoliuluiGestionarea risculuiStatisticăAcțiuni
BigQuant

The article discusses why a stock that closes at its upper price limit may open sharply lower the next day. It presents several possible explanations: short selling around the high, larger investors distributing shares into demand, or deliberately provoking…

AcțiuniPiețele din ChinaStrăpungereIndicatori tehnici
BigQuant

This study reviews Chinese equity-oriented mixed funds over 2010–2020 and compares their performance with several domestic equity benchmarks across value- and growth-led market periods. It reports that the fund group’s relative results varied with market…

Piețele din ChinaAcțiuniConstruirea portofoliuluiStatistică
BigQuant

This weekly market note responds to weakening Chinese equity sentiment and increased uncertainty by reducing A-share exposure, adding interest-rate bonds and secondary bond funds, and increasing exposure to low-valuation and dividend factors. Its rationale…

Active din mai multe claseAcțiuniInstrumente cu venit fixInvestiții bazate pe factori
BigQuant

The document introduces financial trading as buying and selling assets for investment, hedging, or gains from price changes. It surveys equities, bonds, derivatives, foreign exchange, physical commodities, and cryptocurrencies, noting that each market has…

Active din mai multe claseEvaluarea derivatelorMicrostructura piețeiDeFi
BigQuant

The document answers a platform question about restricting an A-share strategy’s eligible stocks to listings on the Shanghai and Shenzhen exchanges. It recommends adding an A-share stock-filter module to the prediction set, then configuring the listing-board…

Piețele din ChinaAcțiuniConstruirea portofoliului
BigQuant

This report introduces over-the-counter options as privately negotiated, nonstandard contracts and describes spread strategies built from multiple options on the same underlying. It names bull, bear, and butterfly spreads as examples. The central pricing…

OpțiuniEvaluarea derivatelorInstrumente cu venit fix
BigQuant

The post shares a one-minute grid trading strategy that uses the prior day’s close as a center price and divides prices into bands. It opens an initial position, then changes holdings when the price moves between grid regions, subject to cash and…

Tranzacționare în grilăTestare istoricăDimensionarea pozițiilor
BigQuant

This example describes a two-stock pairs strategy based on the assumed long-term relationship between securities. It regresses one stock's price on the other's, then standardizes the regression residual using its recent mean and standard deviation. When the…

AcțiuniTranzacționarea perechilorRevenire la medieTestare istorică
BigQuant

The document discusses why high-frequency equity factors may appear strong in isolation but fail to improve stock-selection portfolios. Even after orthogonalization against common equity factors, a signal can have a high information coefficient and strong…

AcțiuniInvestiții bazate pe factoriÎnvățare automatăStatistică
BigQuant

This Chinese language summary reports findings from a study of passive and active strategies across asset classes in the United States, United Kingdom, and Japan over a long historical period. It frames the analysis as useful because recent experience in…

Active din mai multe claseUrmărirea tendințeiMărfuriAcțiuni
BigQuant

The post reports a position-capacity discrepancy between simulated and live trading. A strategy was already fully invested on one day, yet generated another buy signal at the next market open. The author expected the simulation to reject the order for…

ExecuțieGestionarea risculuiDimensionarea pozițiilor
BigQuant

The document describes a Chinese equity strategy that screens for stocks trading below book value, excludes flagged or suspended shares and recent listings, then selects the smallest companies by market capitalization. It equally weights ten holdings and…

AcțiuniPiețele din ChinaInvestiții bazate pe factoriTestare istorică
BigQuant

This article argues that trading outcomes are probabilistic rather than precisely predictable. It challenges confidence in trend-following technical indicators, asserting that their directional accuracy can fall below half, but gives no tests, sample…

StatisticăIndicatori tehniciExecuțieGestionarea riscului
BigQuant

The article summarizes research on whether mutual fund managers who begin their careers during economic recessions later differ in performance and investment behavior. Using a sample of U.S. actively managed equity funds and managers from 1990 to 2016, the…

AcțiuniStatisticăGestionarea risculuiConstruirea portofoliului
BigQuant

A user asks how to calculate a five-month moving average for closing prices in a stock-factor table. The discussion contrasts a daily moving-average function, which accepts a number of observations, with a monthly average, which requires monthly data rather…

AcțiuniIndicatori tehnici
BigQuant

This research note studies return skewness as a cross-sectional factor for commodity futures. It tests long-short and long-only portfolios across all contracts, agricultural contracts, and non-agricultural contracts, then explores lookback choices, ATR-based…

Contracte futuresMărfuriInvestiții bazate pe factoriVolatilitate
BigQuant

This practitioner account explains how to translate a stock ranking model into daily trade lists and manual orders. The model ranks the stock universe, buys higher-ranked names, and prioritizes lower-ranked holdings for sale. The author describes how the…

AcțiuniÎnvățare automatăExecuțieDimensionarea pozițiilor
BigQuant

This document describes a stock factor that combines the relative value of bid and ask liquidity across the first five order book levels with a short-term price trend. It sums price times volume on each side, converts the bid-to-ask value ratio into an…

AcțiuniMicrostructura piețeiMomentumInvestiții bazate pe factori
BigQuant

This course-page description outlines a workflow for developing multi-factor investment models, moving from factor testing to evaluation and combination. It highlights checking whether factors are effective and stable, standardizing and neutralizing them,…

Investiții bazate pe factoriStatisticăConstruirea portofoliuluiTestare istorică