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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
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: 12,226

SuperMind

This note describes a short-term A-share selection rule combining three filters: intraday amplitude above 1, a top-five ranking by today’s opening-auction amount, and prior-day auction turnover above 0.26. It frames the combination as a way to find stocks…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection screen combines three conditions: daily amplitude above one, a top-five rank by the day’s auction amount, and rising lows. The rising-lows condition is described as comparing the minimum low over a shorter recent window with the minimum…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This post proposes selecting stocks with RSI below a stated ceiling, seven consecutive sessions in which the close is no higher than the open, and a share price below a specified level. The article frames the RSI and down-day conditions as technical filters…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This post describes a stock-selection screen for Chinese equities that requires MACD to be above zero, a rising 30-day moving average, and a company-type criterion intended to represent business quality. The technical conditions are presented as signs of…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This post outlines an A-share stock screen combining a daily trading-range condition, a qualifying company type, and a dividend payout ratio above a stated threshold for 2019. It explains the range condition as a way to select stocks with price movement and…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaTehniskie indikatori
SuperMind

The post describes an equity screen combining a technical condition, a fundamental growth condition, and a market-activity condition. It selects stocks with RSI below 65, year-over-year growth in parent-company net profit above 20% and at most 100%, and a…

AkcijasTehniskie indikatoriCenas impulssFaktoru ieguldīšana
SuperMind

This opinion article argues that retail traders face disadvantages against quantitative firms in short-term trading because of differences in data processing, execution speed, and trading infrastructure. It describes how large orders can be divided into many…

AkcijasĶīnas tirgiAugstas frekvences tirdzniecībaTirgus mikrostruktūra
SuperMind

This note outlines a Chinese equity screen combining price amplitude above 1, exclusion of ST-designated stocks, selection before 10 a.m., a five-session price-pattern condition, and seven consecutive declining sessions. It provides formula and Python…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening note describes selecting equities with turnover between 3% and 12%, seven consecutive declining sessions, and a closing price above the five-day moving average. Its formula and Python example also check that the latest close is…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This note proposes screening stocks for daily amplitude above 1%, a 2021 date condition, and return on equity above 15% for five consecutive years. Its final version adds valuation limits of price-to-earnings below 30 and price-to-book below 5. The rationale…

AkcijasĶīnas tirgiFaktoru ieguldīšanaSvārstīgums
SuperMind

This proposed Chinese equity screen selects main-board stocks whose codes begin with 60, with RSI below 65 and a daily gain above 1%. Its examples describe a technical filter that also checks a stochastic-style J/D crossover and proximity of the opening…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes an A-share stock screen combining daily price amplitude above 1, a morning-star pattern, and positive price-to-earnings ratio. It presents the pattern as a short-term technical signal and positive P/E as a basic profitability filter. It…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese A-share screening proposal targets stocks in the metaverse concept group. It requires the closing price to exceed its five-day moving average and applies a bounded filter based on prior-day turnover and current auction volume relative to traded…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This article outlines a Chinese A-share stock screen beginning with companies classified in a metaverse sector, positive recent returns, and a daily high-low range greater than one percent of the prior close. It then proposes refining the selection to stocks…

Ķīnas tirgiAkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This A-share screening idea combines a price-range condition, a short-term trend filter, and a measure that relates yesterday’s turnover to today’s auction volume versus yesterday’s volume. It selects stocks whose average price is above the five-day moving…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document outlines a Chinese stock screen requiring daily high-low amplitude above 1%, a positive measure of prior-day main-fund flow, and RSI below 65, with the formula reference specifying a three-period RSI. It presents these conditions as a way to…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

The document proposes screening Chinese stocks with RSI below 65, seven consecutive down sessions, and large-order net flow above 0.05 for at least three consecutive days. Its final version adds a market-capitalization range of 5–10 billion yuan, while the…

Ķīnas tirgiAkcijasTehniskie indikatoriStatistika
SuperMind

This proposed Chinese equity screen selects stocks with a 14-period RSI below 65 and first-level buy volume greater than first-level sell volume, while excluding Beijing-listed shares. The article interprets RSI as a price-condition indicator and the…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This stock screen combines turnover, recent price change, and the ratio of externally classified to internally classified trading volume. Its stated criteria are turnover from 3% to 12%, a positive ten-day gain below 35%, and an outside-to-inside volume…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

The document presents a Chinese equities screening idea: select stocks with turnover between 3% and 12%, a positive return over the prior 10 days below 35%, and an opening price near the 10-day moving average. Its example code adds further filters, including…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post proposes a stock screen combining price movement and liquidity conditions: an amplitude threshold, at least one large daily gain within the past 25 trading days, and turnover between 3% and 12%. It frames the screen as potentially…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The proposed stock screen selects shares with a daily high-low range of at least one percent and relative volume between 1.5 and 6 times its five-day average. It also filters on company or industry classification, with consumer and healthcare sectors offered…

AkcijasTehniskie indikatoriĶīnas tirgi