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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
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: 79,386

SuperMind

This stock-selection rule combines an amplitude threshold, a weekly moving-average crossover condition, and membership in the beverage and alcohol import-export industry. The article presents the amplitude filter as a way to constrain price movement, the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
vn.py community

This overview explains vn.py as a modular framework for automated trading. The MainEngine coordinates gateways, applications, databases, and data services, while the EventEngine routes market, order, and other messages to subscribed components. A typical…

Rīkojumu izpildeTirgus mikrostruktūraVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and MACD above zero. The document frames theme membership as a way to focus on a popular sector, institutional activity as a directional…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
MQL5 code base

Internal Strength is an oscillator intended to show where the close sits within the day’s high-low range. In its HLC mode, it calculates the close’s position as a fraction of the range, using the high, low, and close. In its RSI mode, it applies RSI to that…

Tehniskie indikatoriAkcijas
MQL5 code base

This indicator guide explains how to build a synthetic spread from two price series and use its deviations to identify possible pair-trading entries. Users choose the instruments, combine their series with an arithmetic operation, and can reverse,…

Pāru tirdzniecībaValūtu tirgusTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese A-share screening example combines three conditions: a 14-period RSI below 65, market capitalization of at least 200 million, and a 10-day price gain above zero but below 35%. It describes the screen in plain language and provides sample formula…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The article proposes screening Chinese stocks using three conditions: daily amplitude above 1%, at least two limit-up events within a 500-day lookback, and prior-day auction turnover above 0.26. It supplies indicator expressions and a Python-style example…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
BigQuant

The article examines China’s A-share T+1 rule, which generally prevents investors from selling shares on the same day they buy them. It presents four arguments in the debate: the rule may curb impulsive retail trading, constrain some forms of repeated…

Ķīnas tirgiAkcijasTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This Chinese stock screen combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and exclusion of companies classified as science and technology innovation listings. The MACD condition is intended to find…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The document introduces a volatility ratio as a way to distinguish quieter market conditions from more volatile ones. It contrasts this approach with standard deviation, arguing that a ratio with a reference level can make relative volatility states easier…

SvārstīgumsTehniskie indikatoriStatistika
MQL5 code base

This document outlines a simple automated trading rule based on comparing the opens and closes of the two most recent completed candles. When no position is open, it enters a buy if the newer candle opens above the older candle but closes below the older…

Tehniskie indikatoriRīkojumu izpildePozīcijas apjoma noteikšanaVēsturisko datu pārbaude
SuperMind

The document describes a Chinese stock selection rule combining price amplitude above 1, tradable shares no greater than 5.5 billion, and exclusion of stocks that hit the daily upper price limit on the previous day. Its rationale is to seek stocks with…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
MQL5 code base

This brief indicator note describes a higher-timeframe variant of Float_Pivot_Digit. It highlights an input parameter that lets the user select the chart period used by the indicator, with a four-hour period shown as the default. The practical concept is to…

Tehniskie indikatoriNākotnes līgumi
Amberdata research

This article introduces four ways portfolio managers can adapt familiar valuation concepts to blockchain assets. A discounted cash-flow approach replaces conventional corporate cash flows with protocol value accrual, such as transaction fees or staking…

KriptoaktīviBlokķēdes datiStatistikaIzejvielas
SuperMind

This community post describes a China A-share stock screen that combines recent price behavior with valuation and listing filters. The stated criteria include Shenzhen main-board stocks with positive price-to-earnings and price-to-book ratios below specified…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
BigQuant

This report studies the accuracy of analysts’ consensus earnings-per-share forecasts for China A-shares and develops forecast-bias signals for stock selection. Its full-sample statistics indicate substantial errors and an overall optimistic bias. An…

AkcijasFaktoru ieguldīšanaUz notikumiem balstīta tirdzniecībaStatistika
MQL5 code base

The document describes a price-derived oscillator that displays the difference between price and a Delta measure as a histogram. It specifies no user-adjustable input parameters. The calculation begins with the average of the open, high, low, and close…

Tehniskie indikatoriStatistika
BigQuant

This study evaluates 19 factors derived from sell-side analyst consensus data, including forecasts of financial measures, analyst ratings, and attention. It tests the factors in several Chinese equity universes and across industries. For financial forecast…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
BigQuant

The document presents a framework for deciding whether a candidate multifactor strategy adds value beyond a small set of investable reference factors, called elementary smart betas. It models each candidate through its exposures to those factors and its…

Faktoru ieguldīšanaPortfeļa veidošanaRiska pārvaldībaVairāku aktīvu tirdzniecība
FMZ forum

This article groups recurring trading losses into three market conditions: trading against a strong trend, repeatedly chasing moves in a broad range, and trading through choppy swings. It recommends first identifying the prevailing structure across larger…

Sekošana tendenceiAtgriešanās pie vidējās vērtībasRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This stock screen combines three technical conditions: daily high-low amplitude above a threshold, MACD above the zero line, and a rising, ordered set of short- to longer-term moving averages. The intended interpretation is that price movement indicates…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock selection rule combines membership in the metaverse theme with a morning price-change cutoff and a historical dividend ratio. The stated rationale is that limiting the early-session rise may help identify rebound candidates, while a dividend ratio…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
MQL5 code base

This indicator uses an RSI-adaptive exponential moving average ribbon to help assess market conditions. Its author says the underlying adaptive EMA can also be translated into a MACD calculation, while displaying the ribbon components directly may make…

Tehniskie indikatoriSekošana tendenceiAkcijas
SuperMind

This proposed A-share stock screen combines turnover between 3% and 12%, a newly formed KDJ bullish crossover, and return on equity above 15% in each of the past five years. The article presents turnover as a measure of trading activity, KDJ as a technical…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana