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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 article presents a broad framework for choosing and assessing quantitative trading strategies. It recommends matching a strategy to an investor’s temperament, available time, preferred trading frequency, capital, programming skills, and goals. It argues…

Vēsturisko datu pārbaudeRiska pārvaldībaPortfeļa veidošanaStatistika
SuperMind

This post outlines a stock screen combining three kinds of conditions: reported same-day position increases, valuation limits, and a short-term MACD signal. Candidates are described as Shenzhen mainboard stocks with price-to-earnings ratios from 0 to 29 and…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This post describes a Chinese A-share screening rule that combines a relative strength index threshold with positive daily price movement. It selects mainboard stocks whose RSI is below 65, whose daily gain exceeds 1%, and whose reported daily return is…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This screening rule combines three conditions: price amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute chart, and exclusion of Beijing-listed shares. The text interprets amplitude as a way to find more volatile stocks and…

AkcijasTehniskie indikatoriSvārstīgums
SuperMind

The post presents a Chinese equity screening rule combining a positive MACD reading, filters intended to exclude financially troubled or specially treated companies, and a minimum prior-day trading activity threshold. Its rationale is to pair a technical…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The post describes a daily stock screen for main board shares with turnover between 3% and 12%, a daily gain above 1%, and positive return. It frames the turnover band as a way to focus on trading activity and the gain and return filters as profitability…

AkcijasTehniskie indikatoriCenas impulssStatistika
SuperMind

This post presents a stock selection concept combining a price-amplitude condition, a low K-line-related threshold, and a prior-day appearance on China’s Dragon and Tiger List, a disclosure of notable trading activity. It interprets the listing as a sign of…

AkcijasTehniskie indikatoriTirgus noskaņojumsTirgus mikrostruktūra
SuperMind

This post outlines a China-listed equity screen limited to the metaverse theme. It seeks stocks with three technical indicators crossing upward at the same time and positive net buying by large orders during the opening auction. MACD and its signal line are…

AkcijasTehniskie indikatoriCenas impulssTirgus noskaņojums
SuperMind

This Chinese-language post describes a stock screening rule that ranks shares by volume ratio, then filters for a ten-day gain above zero but below 35 and a circulating market value no greater than 5.5 billion shares’ worth, as worded in the source. It…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

The document presents a Chinese equity screening rule that requires MACD to be above zero, the reported external-to-internal trading volume ratio to exceed 1.3, and the 20-day moving average to be above the 120-day average. Stocks passing all three filters…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The document describes a stock selection rule combining daily price amplitude, a weekly moving-average crossover, and the presence of an outstanding convertible bond. Its stated rationale is to consider both price trend and volatility alongside a…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This Chinese A-share screening proposal selects stocks with RSI below 65, a circulating market value from 5 billion to 10 billion yuan, and positive institutional activity. The article frames the filters as a combination of a short-term technical measure,…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese A-share screening proposal filters for stocks with turnover between 3% and 12%, excludes Beijing-listed shares, and ranks candidates by large-order net buying. Its stated rationale is to identify actively traded stocks with positive large-order…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note outlines a stock-selection screen using turnover between 3% and 12%, excluding Beijing-listed A shares, and requiring at least one daily gain of 10% or more within the preceding 25 trading days. The author frames the recent large gain as a way to…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes a Chinese equity screen combining a daily price-range threshold, an indicator that a company has an outstanding convertible bond, and positive large-order net volume over three consecutive days. The accompanying formula expresses the…

AkcijasTehniskie indikatoriTirgus mikrostruktūraĶīnas tirgi
SuperMind

This A-share stock selection approach looks for MACD above zero, a rising DEA line, and at least two limit-up events during the previous 500 days. It treats positive MACD and an improving signal line as evidence of strength, while repeated limit-ups identify…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese A-share screening idea combines three conditions: MACD is above zero, parent-company net profit growth is above 20% and no more than 100%, and the stock has reached the daily limit-up at least twice in the prior 500 days. The intended rationale…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post proposes a Chinese stock watchlist screen for companies associated with beverage or alcohol imports and exports. It combines daily price amplitude above 1% with at least one limit-up event in a recent window. The accompanying indicator and Python…

AkcijasCenas izrāviensTehniskie indikatoriRiska pārvaldība
SuperMind

The post describes a Chinese equity screen requiring daily amplitude above 1%, a positive 10-day return below 35%, and at least one daily gain of 10% or more during the preceding 25 trading days. It frames these conditions as a way to find volatile stocks…

AkcijasCenas impulssTehniskie indikatoriRiska pārvaldība
SuperMind

This stock-selection idea screens for shares with turnover between 3% and 12%, three consecutive declining sessions, and positive net institutional money flow. It frames the pattern as a way to find stocks that have pulled back while attracting institutional…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriTirgus noskaņojums
SuperMind

The document outlines a Chinese stock-selection idea that combines membership in the metaverse industry with a rounded price pattern and a measure built from price change and net volume attributed to very large orders. Its example implementation further…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection idea focuses on the metaverse sector and filters for an opening price less than six percent above the prior close, along with a current-day low below the previous day’s low. The article supplies formula and Python examples for applying…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes a Chinese stock screen combining three conditions: at least five moving averages converge, the 30-day average is rising, and free float is no more than 5.5 billion shares. The intended rationale is to find stocks with aligned or…

AkcijasTehniskie indikatoriSekošana tendencei
SuperMind

This Chinese equity screen selects shares priced below 12 yuan whose MACD is above zero, while excluding shares that hit a limit-up on the previous day. The note frames positive MACD as a technical entry condition and the prior-day exclusion as a way to…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori