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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 stock-selection method looks within China’s metaverse sector for shares ranking among the top five by the day’s auction value, then filters for a 2019 stock-dividend ratio above 25%. The document gives screening logic and example implementations for two…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock-selection screen combines three conditions: RSI below 65, positive large-order net inflow during the afternoon, and a rising 30-day moving average. The accompanying indicator references use a 14-period RSI and compare closing price with the 30-day…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This equity screen combines an RSI below 65 with three consecutive down sessions and more than two limit-up days in a ten-day window. The stated idea is to find stocks showing recent weakness while also having a record of sharp upward moves, which the author…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This equity screening approach combines three filters: at least two limit-up sessions within the prior 500 days, weekly MACD above zero, and high fund-flow strength. The note describes fund-flow strength through activity measures such as turnover or volume…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese-language note describes an equity screening rule combining daily price amplitude, a weekly moving-average crossover, and a ranking by stock heat. It selects stocks with amplitude above 1% and a weekly five-period moving average crossing above…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note proposes an equity screen combining turnover with a rising DEA signal. It describes an initial turnover range of 3% to 12%, an additional condition requiring turnover between 2% and 9%, and a bullish DEA condition expressed through moving-average…

AkcijasCenas impulssTehniskie indikatori
SuperMind

This note describes an equity screen that ranks stocks by a capital-strength measure, such as turnover or volume ratio, and filters for turnover between 2% and 9%. It also requires the 20-day moving average to be above the 120-day moving average, using the…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
SuperMind

The described screen combines technical, valuation, and recent-return conditions for Shenzhen mainboard stocks. It seeks shares with at least five moving averages aligned or clustered, a price-to-earnings ratio from 0 to about 29, a price-to-book ratio from…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen excludes Beijing-listed shares, keeps stocks whose high-to-low amplitude exceeds 1%, and ranks the remaining names by that day’s opening-auction traded value. It selects the top five, making auction activity the ranking signal and…

AkcijasĶīnas tirgiSvārstīgumsTirgus mikrostruktūra
SuperMind

This stock-selection rule targets mainland Chinese mainboard equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a daily gain above 1%. The proposed screen combines a turnover range intended to capture…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

The document describes a Chinese equity screen for companies in the metaverse theme, with a minimum circulating market capitalization and positive price-to-earnings ratio. It presents the positive PE condition as a basic profitability filter and the size…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

The document proposes screening Chinese stocks in the metaverse theme for a circulating market capitalization above 10 billion yuan and a prior-day actual turnover rate within a stated range. Its final rule specifies turnover between 5% and 20%, while an…

AkcijasĶīnas tirgiTirgus mikrostruktūraStatistika
SuperMind

The document describes a Chinese stock selection rule combining three filters: RSI below 65, positive large-order net inflow in the afternoon, and a dividend ratio above 25% for 2019. It also gives example indicator and Python logic for applying these…

AkcijasTehniskie indikatoriĶīnas tirgiFaktoru ieguldīšana
SuperMind

This stock-selection method screens for shares priced below 12 yuan, with MACD above its zero line and more than two limit-up days in the preceding ten days. The post says the screen runs before 10 a.m. each trading day. It frames the combination as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-selection note describes a screen combining turnover, circulating share capital, and a concentration measure. Its stated final rule keeps stocks with turnover at or below 12%, circulating market capitalization at or below 5.5 billion…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese-market stock screen combines turnover, a reversal-style candle condition, and a daily price-decline band. It selects stocks with turnover between 3% and 12%, applies a reversal filter, and keeps candidates whose daily percentage change is…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This document outlines an intraday Chinese stock selection idea. It screens the metaverse industry for non-ST shares, ranks candidates by the day’s opening auction amount, keeps the top five, and applies a named five-stage limit-up method before 10 a.m. The…

AkcijasCenas impulssCenas izrāviensRīkojumu izpilde
SuperMind

This stock-selection idea screens for Chinese beverage and alcohol-related companies, with turnover between 3% and 12% and a buying-versus-selling activity condition described as external volume exceeding internal volume by a factor greater than 1.3. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This proposed Chinese equity screen selects stocks with a daily high-low range of at least 1%, a nonempty name for an outstanding convertible bond, and a closing price above the previous day’s low. The article frames these filters as a combination of price…

Ķīnas tirgiAkcijasSvārstīgumsTehniskie indikatori
SuperMind

This proposed Chinese stock screen looks for an RSI below 65, three consecutive bearish sessions, current trading volume above 10,000 lots, and an opening price more than 2% above the previous close. It pairs a momentum oscillator and recent price weakness…

Ķīnas tirgiAkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese stock-screening proposal combines a minimum daily price range with at least two limit-up events over a 500-day lookback and signs of large buying orders during the opening auction. It also specifies a threshold for combined very-large-order…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening idea combines a prior-day price-amplitude threshold, appearance on the previous day’s trading activity list, and at least one limit-up event within the preceding month. The document frames these filters as a way to find shares…

AkcijasĶīnas tirgiSvārstīgumsCenas impulss
SuperMind

This stock screen combines three conditions: membership in the metaverse theme, a positive institutional-flow measure, and exclusion from the STAR Market. The accompanying explanation presents the theme as a way to target a popular sector and the flow…

AkcijasĶīnas tirgiTirgus noskaņojumsFaktoru ieguldīšana