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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 proposes a historical stock screen based on five moving averages (5, 10, 20, 30, and 60 days), average turnover over 20 days between 2% and 9%, and the year 2021. Its stated final selection logic adds market capitalization above 1 billion yuan and…

Ķīnas tirgiAkcijasTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This note describes a stock screen using three stated conditions: amplitude above 1, price below 12, and a dividend ratio above 25% for 2019. It interprets the amplitude threshold as a sign of trading activity, the price filter as a way to find inexpensive…

Ķīnas tirgiAkcijasSvārstīgumsFaktoru ieguldīšana
SuperMind

The note proposes screening Chinese stocks for three traits: at least five overlapping moving averages, at least two limit-up days during the prior 500 days, and market capitalization below 10 billion yuan with no losses. It presents the moving-average…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This note describes a short-term equity screen that ranks stocks by relative trading activity and combines that ranking with technical signals. It proposes selecting the top 100 by volume ratio, then looking for a joint bullish setup involving the Bollinger…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note outlines an equity screening idea based on three inputs: a daily position-increase ratio above 5%, a selected enterprise type or industry, and an upward-sloping 30-day moving average. The article interprets the position-increase measure as evidence…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note presents a Shenzhen main-board stock screen that combines valuation, price range, and intraday momentum conditions. It selects stocks with price-to-earnings ratios from zero to 29.01 and price-to-book ratios from zero to 3.11, then looks for a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a mainland Chinese equity screen combining three conditions: reported net position increases above 5%, a daily gain above 1% among main-board stocks, and an upward-sloping 30-day moving average. The intended signal is a stock with recent…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This short-term stock screen selects shares with turnover between 3% and 12%, an appearance on the previous day's exchange top-trader list, and first-level bid volume greater than first-level ask volume. The note treats turnover as a measure of trading…

AkcijasĶīnas tirgiTirgus mikrostruktūraRīkojumu izpilde
SuperMind

This proposed A-share screen looks for stocks with at least five overlapping moving averages, a 20-day average above the 120-day average, and a 9:25 gain below 6%. The note interprets moving-average overlap as a period of relative price stability and the…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This A-share stock screen combines intraday amplitude above 1, a 20-day moving average above the 120-day average, and a 9:25 gain below 6%. The moving-average relationship is presented as a trend filter, while the amplitude condition seeks stocks with room…

AkcijasĶīnas tirgiSekošana tendenceiTehniskie indikatori
SuperMind

This A-share screening rule combines three conditions: intraday amplitude above 1, more than two limit-up sessions within the past ten days, and a 9:25 gain below 6%. The note frames recent limit-up frequency as a sign of short-term trading interest, while…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This Chinese equity screening proposal combines three conditions: relatively strong trading volume as a proxy for capital interest, positive price-to-earnings ratio, and a shortening MACD histogram on a 15-minute chart. The article interprets positive P/E as…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock selection approach ranks candidates by capital-flow strength, requires more than two limit-up sessions within ten days, and looks for a shortening MACD histogram below zero on a 15-minute chart. The article interprets the histogram change…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening idea combines three filters: market capitalization below 10 billion yuan, positive net profit in each of the past five years, and RSI below 65 alongside weekly MACD above zero. The article presents the screen as a way to find…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note proposes a Chinese equity screen for companies with market capitalization at or below 10 billion, no losses, daily price range above 1%, and turnover between 2% and 9%. The stated rationale combines stock activity and volatility with a size…

AkcijasĶīnas tirgiSvārstīgumsFaktoru ieguldīšana
SuperMind

This note describes a fundamental screen based on company market capitalization and avoiding firms with losses. It also recommends considering profitability, growth, industry trends, and policy conditions when judging investment value. A short Python example…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This note proposes screening Chinese equities for positive large-order net flow over at least three consecutive days, a 9:25 a.m. gain below 6%, and today’s position increase above 5%. It frames the flow measure as a sign of trading activity and the…

AkcijasĶīnas tirgiTirgus mikrostruktūraCenas impulss
SuperMind

This note outlines a Chinese equity screen combining a daily price range above 1%, a qualitative preference for sound companies, and a gain below 6% at 9:25 a.m. It also suggests considering profitability, growth, return on equity, market capitalization,…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
SuperMind

The article proposes ranking stocks by fund-strength measures and filtering for companies whose 2021 revenue was more than 1.1 times their 2018 revenue. It presents fund inflows as a possible indicator of market interest and the revenue comparison as a…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
SuperMind

The proposed screen looks for stocks with a 15-minute MACD histogram described as shortening, an amplitude above 1%, and a share price below 12. The post interprets the narrowing histogram as a possible reversal signal and the amplitude threshold as a way to…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This stock screen combines a turnover range of 3% to 12% with a prior-day appearance on a trading leaderboard and a prior-day indicator described as main-force control. The post interprets turnover as a liquidity or activity filter and leaderboard presence…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

The screen combines an above-zero MACD condition with a two-day price-high condition and restricts selection to 2021. The post frames positive MACD as a trend filter and the recent high as a way to identify stocks showing upward price action. It also…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

The document presents a stock-ranking idea framed around a morning-star pattern and a named stock, but its practical selection logic is primarily to order stocks by a capital-strength score. The suggested score divides a ten-period moving average of closing…

AkcijasStatistikaTehniskie indikatoriĶīnas tirgi