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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
Binance API docs
Dokumentu skaits: 45
Quantopian lekcijas
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
WonderTrader
Dokumentu skaits: 14
Alphalens
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 short forum exchange addresses an error in a regression-evaluation workflow that reports a missing label. The response says the problem cannot be diagnosed precisely without details about the task, then recommends first defining what quantity the model…

MašīnmācīšanāsStatistikaVēsturisko datu pārbaude
BigQuant

The document records a user’s question about a trading platform’s order function: sell instructions appear to execute at the following day’s close rather than the day they are issued. The issue affects holding-period exits and closing-price take-profit or…

Rīkojumu izpildeVēsturisko datu pārbaudeRiska pārvaldība
BigQuant

This report reviews quality-focused Smart Beta investing in overseas and Chinese markets. It describes the approach as an index strategy built from company financial data to capture underlying business quality, then compares product development and index…

Faktoru ieguldīšanaAkcijasStatistikaVēsturisko datu pārbaude
BigQuant

This report examines fund advisory services in China, including how third-party fund platforms work with licensed asset managers and how advisory services may evolve. It describes the platforms mainly as places where advisory strategies are presented, with…

Ķīnas tirgiPortfeļa veidošanaAkcijasFiksēta ienākuma instrumenti
BigQuant

The article examines whether dividend announcements convey information about future company earnings. It argues that prior studies may have missed this link by grouping earnings by fiscal year, which can treat post-announcement earnings as already known.…

AkcijasUz notikumiem balstīta tirdzniecībaStatistikaASV tirgi
BigQuant

This document describes a chart indicator that draws support, resistance, and trend lines over a configurable number of bars. It was initially used within a short-term scalping approach on five- and fifteen-minute charts, and later as a standalone indicator…

Tehniskie indikatoriCenas izrāviens
BigQuant

This article explains random forests through CART decision trees, Gini impurity, bootstrap sampling, and aggregation. Trees are trained on resampled data, while their predictions are combined by voting for classification or averaging for regression. It also…

AkcijasMašīnmācīšanāsFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

This report compares ways to measure similarity among funds, including cosine similarity, Euclidean distance, and return correlations. It argues that the choice of measure should follow the intended meaning of “similar”: resemblance in holdings structure,…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaStatistikaVēsturisko datu pārbaude
BigQuant

This short discussion explains how to compute a running total of traded amount separately for each stock in a multi-instrument dataset. A single cumulative sum across the full table combines all instruments, so the suggested approach groups rows by…

AkcijasStatistika
BigQuant

The document introduces factor research as a way to study characteristics that may help explain the returns and risks of financial assets. It names market capitalization, quality, momentum, low volatility, and yield as examples of factors that researchers…

Faktoru ieguldīšanaStatistikaPortfeļa veidošanaRiska pārvaldība
BigQuant

This example implements a Dual Thrust breakout strategy on a futures contract using daily bars. It calculates a range from the prior five completed sessions: the larger of the highest high minus the lowest close, or the highest close minus the lowest low.…

Nākotnes līgumiCenas izrāviensSekošana tendenceiRīkojumu izpilde
BigQuant

This research note outlines an extension to traditional risk parity. Standard risk parity assigns equal contributions to portfolio volatility, but this approach accounts for only variance and can leave exposure to skewness and kurtosis uneven. Those higher…

Vairāku aktīvu tirdzniecībaPortfeļa veidošanaRiska pārvaldībaStatistika
BigQuant

The document summarizes research on whether investors react differently to corporate announcements made before major holidays. The study examines US stock repurchases, equity issuance, mergers, and quarterly earnings announcements from 1984 to 2012,…

AkcijasUz notikumiem balstīta tirdzniecībaTirgus noskaņojumsStatistika
BigQuant

The document catalogs the 158 Alpha158 features used in quantitative equity research. It groups formulas into candlestick shape and normalized price features; trend measures such as returns, moving averages, regression slopes, fit, and residuals; and…

AkcijasFaktoru ieguldīšanaTehniskie indikatoriStatistika
BigQuant

This report describes a multi-factor event rotation approach for finding stock-related events that may be attracting market attention. It considers events involving shareholder behavior, dividend policies, earnings forecasts and growth reports, and private…

AkcijasUz notikumiem balstīta tirdzniecībaFaktoru ieguldīšanaStatistika
BigQuant

This essay argues that traders should pass on marginal setups and act only when a trade strongly meets their criteria. It frames selectivity as a way to reduce unnecessary decisions and make accepting losses more manageable. It also emphasizes studying wins…

Riska pārvaldībaStatistika
BigQuant

This research summary describes a method for forecasting year-over-year inventory growth across six products in China’s ferrous commodity chain. It treats inventory as an indicator of relative supply and demand, while noting that true inventory is difficult…

IzejvielasĶīnas tirgiMašīnmācīšanāsStatistika
BigQuant

This brief troubleshooting note explains one cause of an empty-data error in a futures backtest. It says that the exchange’s contract symbol convention matters: for Dalian Commodity Exchange contracts, the letter portion should be lowercase, and using…

Nākotnes līgumiVēsturisko datu pārbaude
BigQuant

This report proposes classifying equity sectors by how their excess returns relate to economic conditions. It questions existing Chinese cyclical and noncyclical sector indexes, then measures lead-lag correlations between China Securities Index industry…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude
BigQuant

The document describes a liquidity premium factor built from buy-side limit order book data. For a chosen trade amount, the method simulates execution against displayed orders, adding interpolated virtual orders as needed, and compares the resulting market…

AkcijasFaktoru ieguldīšanaTirgus mikrostruktūraStatistika
BigQuant

This article proposes interpreting a sharp drop after a news-driven, limit-up move as a possible shakeout before another advance. Its suggested filters are a month or more of relatively quiet consolidation with range contained within 20%, a stock near the…

AkcijasĶīnas tirgiCenas izrāviensCenas impulss
BigQuant

The document introduces Bayes’ theorem as a way to update the probability of an event after receiving new evidence. It defines the prior probability, likelihood, marginal probability, and posterior probability, and gives the formula relating them. It also…

StatistikaMašīnmācīšanāsAkcijasRiska pārvaldība
BigQuant

This Chinese equities study proposes quantifying unusual intraday stock behavior by measuring how often a stock moves against a market index. It uses correlation as a screening tool to identify these divergence events, then treats them as event-driven…

Ķīnas tirgiAkcijasUz notikumiem balstīta tirdzniecībaStatistika
BigQuant

This Chinese-language monthly and weekly product review reports results for several China equity strategies in May 2018. It covers multi-factor index enhancement portfolios linked to the CSI 300 and CSI 500, a short-horizon price-volume model, AI stock…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaCenas impulss