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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: 12,226

SuperMind

This document describes a Chinese equities screen using a daily turnover rate between 3% and 12%, a positive product of price change and large-order net flow, and return on equity above 15% in each of the prior five years. It presents the rule as a…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

This post describes an equity screen for stocks in the metaverse theme. It selects names whose latest price is above the 250-day moving average and whose 20-day moving average is above the 120-day moving average. The first condition places price above a…

AkcijasSekošana tendenceiTehniskie indikatoriĶīnas tirgi
SuperMind

This post proposes screening equities for a daily price range of at least one unit, strong return on equity across five years, and a three-candle morning star pattern. The described pattern consists of an advancing candle, a small indecisive or lower candle,…

AkcijasTehniskie indikatoriSvārstīgumsFaktoru ieguldīšana
SuperMind

This document outlines a MetaTrader 4 Expert Advisor template that retrieves economic calendar events without using a DLL. It describes a basic news-state signal: the EA indicates whether an event falls within a configurable window before or after its…

Uz notikumiem balstīta tirdzniecībaValūtu tirgusRīkojumu izpilde
SuperMind

This Chinese-language post outlines an equity screen that combines daily price movement with company profitability and a short-term price trend. Its initial rules require a price range of at least one unit, return on equity above 15% for five consecutive…

AkcijasFaktoru ieguldīšanaCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-screening post combines a price-amplitude filter with a measure based on the prior day’s turnover and the ratio of current auction volume to prior volume. It selects stocks where that combined measure falls between 0.5 and 2, and which…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The document presents a Chinese equity screening rule that combines trading activity, short-term price location, and a multi-year profitability filter. It selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This article revisits volatility in option pricing, focusing on the constant-volatility assumption in Black–Scholes. It considers time-varying stochastic volatility, represents log volatility through a mean-reverting process, and motivates using a rougher…

OpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšanaStatistika
SuperMind

This proposed stock screen selects main-board Chinese shares with RSI below 65, a daily gain above 1%, and at least two limit-up moves during the prior 500 days. The article interprets the RSI condition as indicating potential rebound room, the positive…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language note presents a stock screen requiring turnover between 3% and 12%, a three-day decline, and a circulating share count no greater than 5.5 billion shares. It describes the combination as targeting lower-priced or consolidating names…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese-language note proposes screening stocks with turnover between 3% and 12%, a positive increase in the K value of the KDJ indicator, and no limit-up close on the previous day. It frames the prior-day exclusion as a way to avoid stocks whose recent…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This brief introductory note defines a function as an organized, reusable block of code for carrying out one task or a related set of tasks. It highlights two basic benefits: functions make applications more modular and reduce repeated code. These ideas…

Statistika
SuperMind

This Chinese stock-screening idea selects companies associated with the metaverse theme, requires a positive institutional-flow measure, and filters for a “today control” indicator above 21. The article presents the combination as a way to identify stocks…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This document describes a stock screen requiring turnover between 3% and 12%, a stock code beginning with 60, and a circulating share count no greater than 5.5 billion shares. It presents the turnover band as a liquidity filter and the float limit as a way…

AkcijasĶīnas tirgiTirgus mikrostruktūraRiska pārvaldība
SuperMind

This document outlines an A-share selection rule combining RSI below 65, an external-to-internal trading volume ratio above 1.3, and association with the metaverse theme. The intended logic is to use RSI as a technical condition, the volume ratio as a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This document describes a short-term A-share screen using three conditions: daily amplitude above 1, the 9:25 gain below 6%, and today’s position increase ratio above 5%. It frames amplitude as a measure of volatility, the early price change as a short-term…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The document describes a stock screen combining three conditions: daily price amplitude above 1, the average price above its five-day moving average, and return on equity above 15% for five consecutive years. It presents this as a blend of a short-term…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This post describes a Chinese equity screen that combines daily price amplitude, persistent large-order net volume, and membership in a beverage and alcohol industry group. Its stated intent is to find stocks with active trading and buying pressure for…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock selection rule filters for turnover between 3% and 12%, requires the product of the day’s percentage price change and a large-order net-flow measure to be positive, and adds positive institutional net buying as a further condition. The…

AkcijasCenas impulssTirgus noskaņojumsStatistika
SuperMind

The document explains grid trading as a contrarian approach for markets that fluctuate around a reference price. An investor divides capital into units, buys as price falls through grid levels, and sells as it rises, seeking to realize gains from repeated…

Režģa tirdzniecībaAtgriešanās pie vidējās vērtībasRiska pārvaldībaRīkojumu izpilde
SuperMind

The document presents a Chinese stock screening rule using price amplitude above 1, a three-consecutive-limit-up condition on the prior day, and MACD above its zero line. It frames amplitude and the recent limit-up streak as signs of active market interest,…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document describes a Chinese stock screening rule combining three conditions: prior-day price amplitude above 1, appearance on the previous day’s 龙虎榜 (a public list of notable trading activity), and a circulating share count no greater than 5.5 billion…

Ķīnas tirgiAkcijasSvārstīgumsTehniskie indikatori
SuperMind

The post proposes a Chinese equity screening idea that combines a capital-activity measure, Bollinger Band position, and a high dividend ratio. It describes selecting stocks whose closing prices lie above the middle band and below the upper band, alongside a…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana