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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 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…

StatistikaĶīnas tirgi
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…

AkcijasFaktoru ieguldīšanaStatistikaTirgus mikrostruktūra
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…

AkcijasTehniskie indikatoriRiska pārvaldība
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…

Portfeļa veidošanaRiska pārvaldībaStatistikaAkcijas
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…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
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…

Ķīnas tirgiAkcijasPortfeļa veidošanaStatistika
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…

Vairāku aktīvu tirdzniecībaAkcijasFiksēta ienākuma instrumentiFaktoru ieguldīšana
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…

Vairāku aktīvu tirdzniecībaAtvasināto instrumentu cenu noteikšanaTirgus mikrostruktūraDeFi
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…

Ķīnas tirgiAkcijasPortfeļa veidošana
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…

OpcijasAtvasināto instrumentu cenu noteikšanaFiksēta ienākuma instrumenti
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…

Režģa tirdzniecībaVēsturisko datu pārbaudePozīcijas apjoma noteikšana
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…

AkcijasPāru tirdzniecībaAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
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…

AkcijasFaktoru ieguldīšanaMašīnmācīšanāsStatistika
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…

Vairāku aktīvu tirdzniecībaSekošana tendenceiIzejvielasAkcijas
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…

Rīkojumu izpildeRiska pārvaldībaPozīcijas apjoma noteikšana
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…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
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…

StatistikaTehniskie indikatoriRīkojumu izpildeRiska pārvaldība
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…

AkcijasStatistikaRiska pārvaldībaPortfeļa veidošana
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…

AkcijasTehniskie indikatori
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…

Nākotnes līgumiIzejvielasFaktoru ieguldīšanaSvārstīgums
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…

AkcijasMašīnmācīšanāsRīkojumu izpildePozīcijas apjoma noteikšana
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…

AkcijasTirgus mikrostruktūraCenas impulssFaktoru ieguldīšana
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,…

Faktoru ieguldīšanaStatistikaPortfeļa veidošanaVēsturisko datu pārbaude