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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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 article explains why traders might collect listed-company announcements directly from an exchange website instead of relying only on financial portals or desktop trading software. Those services may process and organize announcements before displaying…

Uz notikumiem balstīta tirdzniecībaRīkojumu izpilde
SuperMind

The proposed screen selects stocks in the metaverse industry that had a limit-up event within the prior 25 days and whose 2021 revenue exceeded 2018 revenue by a stated ratio threshold. It is intended to run before 10 a.m. and identify stocks tradable that…

AkcijasĶīnas tirgiCenas impulssUz notikumiem balstīta tirdzniecība
SuperMind

This stock-selection approach combines technical conditions with a profitability filter. It screens for stocks with a 14-period RSI below 65, KDJ K below 20, and parent-company net profit growth between 20% and 100%, while also requiring positive net profit.…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese stock-selection proposal screens for three technical conditions: daily amplitude above 1%, weekly MACD above its signal and above zero, and an opening price within 5% of the ten-day moving average. The accompanying discussion frames amplitude as…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The post proposes a short-term stock screen using three conditions: daily amplitude above 1, a negative MACD value from two days earlier, and at least two limit-up moves during the prior 500 days. It combines a technical indicator with recent price behavior,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article outlines a Chinese equity screening rule that selects main-board stocks associated with the metaverse theme when their 14-period RSI is below 65 and their daily gain exceeds 1%. It presents the RSI condition as a possible rebound setup, while a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share screening idea combines a 14-period RSI below 65 with three consecutive sessions in which the close is below the open, while excluding stocks associated with Beijing. The document gives example logic in indicator-formula and Python styles. Its…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This A-share stock screen combines three conditions: turnover between 3% and 12%, best bid volume greater than best ask volume, and revenue in 2021 more than 1.1 times revenue in 2018. The article provides a plain-language rationale and example formulas and…

AkcijasĶīnas tirgiTirgus mikrostruktūraStatistika
SuperMind

This Chinese stock-selection proposal combines a relative trading-activity measure with a 15-minute MACD signal. It ranks stocks by a measure formed from the previous day’s turnover rate and the ratio of today’s auction volume to the prior day’s volume. It…

AkcijasCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

The post asks whether it is possible to calculate trading volume during the final 15 seconds before a stock reaches its daily price limit. A reply says the calculation depends on how the limit-up event is defined and points to tick data as the relevant data…

AkcijasAugstas frekvences tirdzniecībaTirgus mikrostruktūra
SuperMind

This post describes an A-share stock screen that combines daily price range, market capitalization, profitability, Bollinger-band position, and relative valuation. It filters for stocks with amplitude of at least one percent, positive market capitalization…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This Chinese-language post describes a short-term A-share screening rule that combines price movement, a stochastic indicator, and a rising-high condition. It selects stocks with amplitude above 1, KDJ below 20, and a ten-period high greater than the prior…

AkcijasTehniskie indikatoriSvārstīgums
SuperMind

The document proposes a Chinese equities screen for companies classified in the metaverse sector. Its initial conditions combine positive recent price change with year-over-year growth in net profit attributable to parent-company shareholders above 20% and…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This document proposes screening Chinese equities for higher daily amplitude, a recent reversal pattern, and a three-day limit-up streak, then adds a price-to-earnings constraint relative to the industry average. It explains the reversal and consecutive…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes an intraday screen for mainland shares. Its stated conditions include price amplitude above one, excluding stocks marked ST, running the selection before 10 a.m., applying a five-part limit-up method, and requiring…

AkcijasĶīnas tirgiCenas izrāviensTehniskie indikatori
SuperMind

This A-share screening example combines a positive MACD condition with a share price below 12 yuan and a positive return. The article says the screen is run before 10 a.m. each trading day. It also gives indicator-formula and Python illustrations, describing…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This A-share screening rule combines a turnover range of 3% to 12%, an appearance on the prior day’s “dragon-tiger” trading leaderboard, and a comparison of prior turnover scaled by the ratio of today’s auction volume to yesterday’s trading volume. The…

AkcijasĶīnas tirgiTirgus mikrostruktūraTehniskie indikatori
SuperMind

This post outlines an equity screen for stocks with amplitude above 1, a daily percentage decline between four and five percent, membership in the robotics concept group, and circulating market capitalization below 10 billion yuan. The conditions combine…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese-language post describes a stock-selection screen using three conditions: amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and an opening price near the ten-day moving average. The stated proximity band…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an equity screening rule combining three conditions: turnover between 3% and 12%, best bid volume greater than best ask volume, and a shrinking MACD histogram on a 15-minute chart. It presents the rule both as a platform…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This stock-screening rule selects Chinese A-share companies using daily turnover, circulating market value, and region. It specifies turnover between 3% and 12%, circulating value between 5 billion and 10 billion yuan, and excludes Beijing-listed companies.…

AkcijasĶīnas tirgiTirgus mikrostruktūraStatistika
SuperMind

This stock-selection proposal combines a volatility filter, a weekly moving-average crossover, and historical revenue growth. It seeks stocks with an amplitude above one, a weekly five-period moving average crossing above the ten-period average, and 2021…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This short-term equity screen looks for stocks with daily amplitude above 1%, an upward-sloping moving-average condition, and a price reversal pattern. The stated selection rules include a move above the three-day moving average and recent closes above an…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības