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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 Chinese-language post outlines an equity screen combining daily price range, market capitalization, positive net profit, and a positive institutional buying measure. It presents the criteria as a way to find smaller profitable companies with elevated…

AkcijasĶīnas tirgiSvārstīgumsRiska pārvaldība
SuperMind

This Chinese stock-screening post combines three conditions: RSI below 65, external-market volume divided by internal-market volume above 1.3, and appearance on the previous day’s broker leaderboard. It describes the screen as a way to identify shares with…

AkcijasTehniskie indikatoriĶīnas tirgiTirgus noskaņojums
SuperMind

The post describes an equity screen that ranks stocks by a capital-strength measure, with turnover and volume ratio given as examples, and filters for a positive 10-day return below 35%. It also specifies stocks whose codes begin with 60, which identifies a…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post proposes screening stocks for turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and price above its 30-day moving average. It frames the turnover and order-book conditions as measures of trading activity, while…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This Chinese-language post proposes screening stocks by combining a minimum daily trading range, sustained return on equity, and an upward price trend. The stated rule calls for a range of at least one, ROE above 15% for five consecutive years, and a weekly…

AkcijasTehniskie indikatoriSekošana tendenceiFaktoru ieguldīšana
SuperMind

This Chinese-language post outlines an equity screening idea for stocks in the metaverse industry. It combines a bullish MACD signal, described as three technical indicators crossing upward, with a rising 30-day moving average. The intended purpose is to…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
SuperMind

This stock-screening idea combines amplitude above 1, a shortening negative MACD histogram on a 15-minute interval, and an engulfing-style reversal pattern. The article interprets the amplitude filter as a way to find volatile shares and the shrinking…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This note describes a Chinese-equity screening rule combining a turnover-rate range of 3% to 12%, outside volume more than 1.3 times inside volume, and a rising DEA indicator. It presents the conditions as a way to find actively traded stocks with buying…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock-selection screen combines price movement, trading-flow, and prior-day price conditions. It selects shares with amplitude above 1, large-order net volume above 0.05 for at least three consecutive days, and a close above the previous day’s low. The…

AkcijasTehniskie indikatoriTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This stock-selection concept combines a price-range condition with weekly MACD and valuation filters. It targets Shenzhen main-board shares with an amplitude above 1, a weekly MACD above zero, a price-to-earnings ratio from 0 to 29.01, and a price-to-book…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-selection rule combines three conditions: daily amplitude above a threshold, MACD above or crossing the zero line, and more than two limit-up sessions during the previous ten trading days. The note frames amplitude as a volatility measure, MACD as…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes a Chinese A-share screening idea focused on companies classified in the metaverse sector. It adds a share-float or market-size ceiling and selects stocks whose closing price lies between the middle and upper Bollinger Bands, calculated…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese stock-selection post combines three filters: membership in the metaverse theme, positive net buying attributed to major participants during the opening auction, and an upward-sloping 30-week moving average. It frames the screen as a way to…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese stock-selection post describes a screen for main-board shares with turnover between 3% and 12%, a daily gain above 1%, and return on equity above 15% in each of the most recent five years. It combines recent market strength and trading activity…

AkcijasĶīnas tirgiFaktoru ieguldīšanaCenas impulss
SuperMind

This rule-based screen selects Chinese stocks whose daily high-low range exceeds 1% of the previous close, whose code begins with 60, and whose current high matches the highest high over a recent window. The article initially describes a two-day high…

Ķīnas tirgiAkcijasSvārstīgumsCenas izrāviens
SuperMind

This stock-selection screen combines yesterday’s exchange leaderboard data, a ranking by reported capital flow intensity, and a limit on the current session’s opening gain. It first identifies stocks appearing on the prior day’s trading leaderboard, orders…

Ķīnas tirgiAkcijasCenas impulssTirgus noskaņojums
SuperMind

This article describes an equity screen that combines a daily price-range condition, a low share-price ceiling, and a positive weekly MACD reading. The stated rules require amplitude above 1%, a closing price below 20, and MACD above zero in consecutive…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This article proposes a Chinese equity selection screen combining trading activity, a short-term technical signal, and company size. It selects stocks with turnover between 3% and 12%, a rising KDJ K value, and a circulating market value between 5 billion…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

These notes describe several practical features of futures and over-the-counter derivatives markets. They explain how central counterparties manage standardized OTC trades through margin and default-fund contributions, while bilateral trades use master…

Nākotnes līgumiAtvasināto instrumentu cenu noteikšanaRiska pārvaldībaTirgus mikrostruktūra
SuperMind

This stock-screening rule combines a turnover range of 3% to 12%, an opening price within 5% of the 10-day moving average, and a 14-period RSI below 65. The article describes turnover and price location as technical filters and treats the RSI threshold as a…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese stock-screening rule selects shares with turnover between 3% and 12%, a rising DEA indicator, and a prior-day condition excluding limit-up stocks. The article presents the turnover band as a liquidity screen and DEA direction as a short-term…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This research summary presents a model in which investors update beliefs about future profits too slowly. When earnings signals are persistent, that sluggish updating can leave information out of stock prices, helping explain why more profitable firms and…

AkcijasFaktoru ieguldīšanaStatistikaCenas impulss
SuperMind

This A-share screening idea combines three technical conditions: daily price amplitude above 1, at least two limit-up sessions within the previous 500 days, and daily MACD above zero. The document frames the filters as a way to find stocks with signs of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post describes a stock-selection screen using three conditions: reported trading volume above 10,000 lots, an opening price above the previous close, and a date filter for 2021. It also says to rank candidates by a volume-ratio measure.…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori