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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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 brief tutorial describes replacing the default stock-ranking model in a visual AI strategy template with gradient boosted decision tree training and prediction modules. It gives an example configuration: a regression loss, root mean squared error as the…

AkcijasMašīnmācīšanāsFaktoru ieguldīšana
BigQuant

This article proposes comparing a model's information coefficient (IC) and mean IC across training and test samples to assess predictive stability. It defines IC as the correlation between a model score and subsequent returns, using a five-day return…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
BigQuant

This article outlines a monthly A-share stock selection example built from gross margin, return on equity, and a cash-flow-per-share to earnings-per-share measure. It notes that financial statements update infrequently and that related accounting variables…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The document introduces the manager-of-managers fund structure, in which a central manager allocates capital among independent subaccounts managed by different investment advisers. It distinguishes this approach from a fund of funds: MOM evaluates and…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaFaktoru ieguldīšanaStatistika
BigQuant

This document gives a single daily factor example for Chinese stocks. It forms a price proxy by weighting the open and high, compares that proxy with its value four bars earlier, and takes the sign of the difference. The resulting direction signal is ranked…

AkcijasFaktoru ieguldīšanaTehniskie indikatori
BigQuant

The article explains a research design for isolating the effect of earnings announcement timing from announcement content. It uses calendar rotations: because a month’s starting weekday changes across years, companies that repeatedly announce on a particular…

AkcijasUz notikumiem balstīta tirdzniecībaStatistikaTirgus mikrostruktūra
BigQuant

This research review examines whether actively managed U.S. equity funds favor firms focused on a single business and whether that preference reflects industry expertise. Its proposed mechanism is that a manager with an informational edge in one industry can…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaStatistika
BigQuant

This document describes a China A-share stock selection and portfolio strategy ranked primarily by dividend yield. It filters out suspended and risk-flagged stocks, applies market-cap, positive and relatively low price-to-earnings, and share-price…

AkcijasĶīnas tirgiFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

The report presents a framework for timing gold using three proposed price drivers: value preservation, safe-haven demand, and speculation. It builds the first factor from US inflation expectations and trends in US real interest rates, the second from the…

IzejvielasFaktoru ieguldīšanaCenas impulssVēsturisko datu pārbaude
BigQuant

The article describes three forms of “high-low rotation” when a popular market theme cools. One is a short-term move into lower-priced themes with fresh news catalysts, where early positioning seeks an advantage but carries high uncertainty. Another is…

Ķīnas tirgiAkcijasCenas impulssUz notikumiem balstīta tirdzniecība
BigQuant

This brief explanation identifies two main reasons a quantitative factor may have low coverage: the coverage of its underlying input factors and the length of its calculation window. If an input dataset contains values for only a limited portion of the…

Faktoru ieguldīšanaStatistika
BigQuant

This Chinese-language report summarizes two overseas research papers. The first decomposes the book-to-market ratio into a market-to-intrinsic-value component and an intrinsic-value-to-book component, then examines which part relates to valuation-strategy…

AkcijasFaktoru ieguldīšanaSvārstīgumsRiska pārvaldība
BigQuant

The report summary describes a stock-selection factor built from a multinomial logistic model that estimates the probability of a large stock decline over the following month. It tests several decline thresholds and reports broad factor coverage, including…

AkcijasĶīnas tirgiMašīnmācīšanāsStatistika
BigQuant

This ProRealTime version 11 indicator identifies swing highs and lows using configurable counts of bars before and after each candidate point. It connects successive low fractals as support lines and successive high fractals as resistance lines, extending…

Tehniskie indikatoriCenas izrāviens
BigQuant

The note introduces the Accelerator Oscillator (AC) and gives its calculation from high and low prices. It first takes each bar’s midpoint, then calculates an Awesome Oscillator by subtracting a longer-period moving average from a shorter-period moving…

Tehniskie indikatoriCenas impulss
BigQuant

The research note examines two convertible bond approaches: buying bonds trading below conversion value and positioning in deeply out-of-the-money bonds. For discount arbitrage, it proposes buying the bond and shorting the underlying stock where feasible,…

AkcijasOpcijasArbitrāžaUz notikumiem balstīta tirdzniecība
BigQuant

The document presents a rule-based stock selection screen for the Chinese market. It selects shares in the metaverse sector whose previous-day price is above the 250-day moving average and that recorded at least one daily gain of 10% or more during the prior…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
BigQuant

The document summarizes research on rapid fluctuations in US equity bid and ask quotes, their cost to liquidity takers, and possible causes. It measures short-horizon quote variability with variance ratios, using millisecond quote data for 150 listed…

AkcijasSvārstīgumsRīkojumu izpildeTirgus mikrostruktūra
BigQuant

This macro commentary argues that markets may shift from pricing direct conflict risk to pricing the inflation and monetary tightening that an energy supply shock could cause. It describes a possible chain from disrupted shipping through higher oil and gas…

Vairāku aktīvu tirdzniecībaIzejvielasASV tirgiRiska pārvaldība
BigQuant

This report overview introduces supervised neural networks, unsupervised learning, and reinforcement learning, then considers their possible roles in finance. It describes deep networks as learning nonlinear mappings through layered representations;…

MašīnmācīšanāsStatistikaVairāku aktīvu tirdzniecība
BigQuant

This technical stock screen combines three conditions: daily price range exceeding 1% of the previous close, the session high matching the highest high of the current and prior day, and rising 5-, 10-, and 20-day moving averages. Together, these rules seek…

AkcijasĶīnas tirgiTehniskie indikatoriCenas izrāviens
BigQuant

The note describes PATV, a stock-selection factor based on intraday trading volume. It first compares average volume over five-minute intervals with average volume over thirty-minute intervals, then ranks the resulting ratios across stocks. The factor…

AkcijasFaktoru ieguldīšanaStatistika
BigQuant

This forum thread concerns a strategy that produced normal backtest behavior but no signals after submission to simulated trading. The user had removed a binding between the strategy’s start date and its live-trading parameter, then waited several days…

Tehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpildeStatistika