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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
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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 forum report describes a suspected data-alignment problem in a Chinese equity research workflow. The author adds an opening-price feature and a forward-shifted version to a strategy, then finds that the shifted values appear incorrect on particular…

AkcijasStatistikaVēsturisko datu pārbaude
BigQuant

This short Chinese-language forum response explains the meaning of delayed entry in a factor test. A delay of N days is described as shifting the start of stock positions by N days from the original entry point. The purpose is to examine what happens when a…

Faktoru ieguldīšanaVēsturisko datu pārbaudeAkcijas
BigQuant

This post describes a reproduction of a research report's “moderate risk” factor, framed around information contained in moments of unusually high trading volume. The author says intermediate factors are calculated and stored, while factor analysis is…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

The document summarizes a study that applies multiple machine-learning algorithms to a broad set of return predictors in Chinese equities. It highlights differences from earlier United States research: liquidity ranks as a particularly important predictor in…

AkcijasMašīnmācīšanāsĶīnas tirgiStatistika
BigQuant

This collection of answers addresses common quantitative investing problems, including fixed-holding-period backtest sensitivity, judging factor data, evaluating strategies that fail live, factor development, market timing, and combining signals across…

Vēsturisko datu pārbaudeStatistikaFaktoru ieguldīšanaRiska pārvaldība
BigQuant

The report compares methods for estimating stock-return covariance matrices for Chinese equities. It explains that when there are many stocks but relatively few return observations, sample covariance estimates can be noisy and numerically unstable for…

AkcijasRiska pārvaldībaPortfeļa veidošanaStatistika
BigQuant

The report classifies companies into startup, growth, mature, volatile, and declining stages using the signs of financing, operating, and investing cash flows. It describes differences among the groups: mature firms have the strongest profitability, while…

AkcijasFaktoru ieguldīšanaĶīnas tirgiVēsturisko datu pārbaude
BigQuant

This report reviews the Shanghai Composite as a broad measure of companies listed in Shanghai and discusses changes to its index rules scheduled for July 2020. The changes add STAR Market listings, delay new stock inclusion, and remove specially risk-warned…

AkcijasĶīnas tirgiStatistikaRiska pārvaldība
BigQuant

The document combines two research summaries. The first explains how target-date fund allocations can account for retirement spending as a liability alongside financial assets and human capital. A liability-aware optimization framework treats…

Portfeļa veidošanaFiksēta ienākuma instrumentiIzejvielasAkcijas
BigQuant

This report summary examines how to turn a supplied composite stock factor into a long-only index-enhancement portfolio. It contrasts common linear optimization, which is simple to compute but ignores relationships among stocks and can produce concentrated…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaPortfeļa veidošana
BigQuant

This compilation presents three quantitative finance topics. First, it reports that news frequency and tone are associated with stock return jump likelihood and jump size characteristics. News frequency appears especially important for jump probability, and…

AkcijasStatistikaMašīnmācīšanāsPortfeļa veidošana
BigQuant

The report asks whether property-level real estate returns can be explained by style characteristics in addition to property type and location. Using quarterly data on more than 25,000 UK retail, office, and industrial properties from 2002 to 2020, it…

Vairāku aktīvu tirdzniecībaFaktoru ieguldīšanaCenas impulssStatistika
BigQuant

The article presents four chart scenarios that it interprets as signs of continued accumulation or a possible reversal: low-volume consolidation after a rally, a low-volume pullback near highs, a sharp move to new lows after a prolonged decline, and a…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
BigQuant

The article examines whether momentum and long-term reversal reflect changing exposures to priced risks rather than standalone return patterns. It tests whether past returns predict future realized betas, then uses an Instrumented Principal Component…

AkcijasCenas impulssFaktoru ieguldīšanaStatistika
BigQuant

This installment of an overseas research review introduces two studies, one on strategic asset allocation and another on quantitative stock selection. The allocation study asks whether a portfolio should be rebalanced and how the frequency and size of…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaFaktoru ieguldīšana
BigQuant

This brief Q&A explains ways to label stock price-limit events in a strategy workflow. For a one-price limit-up session, it suggests identifying a bar where the next period’s high and low are equal, then using that condition to assign a label. This is a…

AkcijasĶīnas tirgiStatistika
BigQuant

This brief BigQuant forum exchange addresses how to construct a custom factor when it is not available as a precomputed field. The question proposes an expression combining single-quarter revenue less single-quarter cost, divided by average total assets over…

Faktoru ieguldīšanaAkcijasStatistika
BigQuant

This post shows a daily stock strategy that combines a market risk filter, a trailing stop, and ranked portfolio rotation. It exits all holdings when a market risk indicator is positive, otherwise checks each position against a stop set below the highest…

AkcijasRiska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpilde
BigQuant

This indicator description presents ADXm as a directional variation of the ADX indicator, which measures trend strength without indicating direction. It adds Jurik smoothing to the ADXm series so traders can use its slope as a signal, with the stated aim of…

Tehniskie indikatoriSekošana tendencei
BigQuant

This legacy BigQuant guide shows how to add fixed exit rules to a stock strategy. Its example sells a holding after a fixed price gain or after a percentage loss, with separate lists recording stocks exited by each rule. It also explains how to coordinate…

AkcijasRiska pārvaldībaRīkojumu izpilde
BigQuant

The post describes a Chinese A-share strategy that runs on its first day of simulated trading but fails during the next day’s scheduled run. The author suspects the strategy callback is not reached, while the supplied log shows the run progressed through…

Ķīnas tirgiAkcijasRīkojumu izpilde
BigQuant

The document reports a BigQuant backtest failure caused by passing a floating-point value where the history function requires an integer bar count. In the shown trailing-stop logic, the holding period is calculated as the number of elapsed days since the…

AkcijasRiska pārvaldībaVēsturisko datu pārbaude
BigQuant

The HAN123 strategy builds a reference range from the high and low observed during the first half-hour of the Chinese equity futures session. After that window, it enters long above the range high or short below the range low, reversing an existing position…

Nākotnes līgumiĶīnas tirgiCenas izrāviensSekošana tendencei
BigQuant

This Chinese research note explores whether stock selection models built within individual industries can add information to a broad market-wide fundamental alpha model. The authors argue that industry models make it easier to use sector-specific factors and…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaPortfeļa veidošana