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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

The document describes a Chinese equity screen that combines membership in the metaverse theme with price and limit-down conditions. Its stated selection logic uses a long moving-average comparison and a prior-day 9:15 matching-price limit-down signal; a…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese equity screen selects stocks with a daily trading range above 1%, a ten-day price gain above zero but below 35%, and no limit-up close on the previous day. The stated rationale is to find shares showing some recent movement and positive momentum…

AkcijasĶīnas tirgiCenas impulssSvārstīgums
SuperMind

This stock-selection idea screens for Chinese companies associated with robotics, with turnover between 3% and 12%, circulating market capitalization below 10 billion yuan, and a pattern of rising lows. The post presents the criteria as a way to combine…

AkcijasĶīnas tirgiTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

This Chinese equity screening proposal selects stocks with turnover between 3% and 12%, at least one limit-up move during the previous 25 days, and a positive weekly histogram condition. The accompanying explanation treats turnover as a measure of trading…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document describes a short-term Chinese stock screen combining a metaverse industry classification, a rounded or arc-shaped chart pattern, and a requirement that the stock was not limit-up on the prior day. It adds a minimum listing history of six…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese equity screen targets stocks classified in the metaverse industry. It requires a volume ratio above 1.5 and below 6, and an external-to-internal trading volume ratio above 1.3. The article characterizes external volume as trades…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-screening post combines three technical conditions: price amplitude above 1%, at least five overlapping moving averages, and a rising 30-day moving average. It presents average convergence as a way to identify relatively stable prices and the…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

The proposed Chinese equity screen combines intraday price amplitude, pre-open auction price movement and large-order buying with a historical dividend-ratio filter. It describes selecting candidates during the ten minutes before the open, excluding limit-up…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection approach combines a price-range condition with persistent positive large-order net flow and company classifications. Its stated rule seeks stocks with amplitude above 1, large-order net flow above 0.05 for at least three consecutive…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock-selection rule screens Chinese A-shares using current turnover, the sign of the product of daily price change and large-order net flow, and the prior day's actual turnover. The stated core conditions are current turnover between 3% and 12%, a…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This stock screen selects shares based on the convergence of multiple moving averages, a minimum scale requirement, and an upward trend in the 30-day average. The article's proposed final version tightens the conditions to at least ten converging averages, a…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This stock-selection approach combines a reported buying-activity measure with valuation limits and an upward-sloping 30-day average. It targets Shenzhen main-board shares whose price-to-earnings and price-to-book ratios fall within stated ranges. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note presents an A-share stock selection rule that combines turnover between 3% and 12%, a newly formed KDJ golden cross, and positive large-order net inflow in the afternoon. The author frames these conditions as proxies for liquidity, a possible…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This note describes an A-share stock screen combining three conditions: price amplitude above 1, a rounded or arc-like price pattern, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no more than 100%. It…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaĶīnas tirgi
SuperMind

The document presents a Chinese equity screen combining daily price behavior with company characteristics. Its initial conditions select robot-themed stocks with circulating market capitalization below the stated threshold, daily amplitude above 1%, and a…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
SuperMind

This post presents a technical stock screen that selects shares with amplitude above 1, prior-day actual turnover between 3% and 28%, and an upward-trending 30-day moving average. It frames the conditions as a combination of price movement, market…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The post describes a stock screen requiring price amplitude above 1, current volume above 10,000 lots, an opening above the prior close, and a specified daily decline between 4% and 5%. Its rationale is to find active, liquid stocks that open positively…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This post outlines a Chinese A-share stock screen combining three conditions: rank stocks among the top 100 by volume ratio, look for a Bollinger Band pattern described as contraction or expansion, and require at least two limit-up sessions within ten days.…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This stock-selection rule combines a 14-period RSI below 65, year-over-year growth in net profit attributable to shareholders between 20% and 100%, positive net profit, and a share price below 18.5 yuan. The post presents the screen as a way to find Chinese…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

The document describes a stock screen combining daily price amplitude above 1%, the year 2021, and three consecutive declines in closing prices. It frames the amplitude condition as a way to find more volatile stocks and the consecutive declines as a…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This daily stock screen selects shares whose MACD histogram is above zero and whose 30-day moving average is rising, then ranks qualifying shares by a measure of market attention. The document explains MACD using standard exponential averages and includes a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese A-share screening method combines turnover, circulating market capitalization, rising moving averages, and price above several moving-average levels. Its stated final criteria cap turnover at 12%, restrict circulating market value to a specified…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This proposed A-share screen selects stocks whose intraday range exceeds 1, whose price is above its five-day moving average, whose current volume exceeds 10,000 lots, and whose opening price is above the prior close. The article presents the range and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori