Pāriet uz saturu

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 stock screen combines three technical filters: a daily high-to-low range threshold, MACD moving above zero, and a positive return over the prior ten days that remains below 35%. The document interprets the range condition as a volatility filter, MACD…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums
SuperMind

This proposed stock screen combines a price-range condition, a large-order net-flow ranking, and a requirement that at least five moving averages overlap. Its stated aim is to find active stocks whose technical indicators may offer clues about direction. The…

AkcijasTehniskie indikatoriRiska pārvaldībaĶīnas tirgi
SuperMind

This short-term stock screen combines three signals: a daily high-low range greater than one percent, a high ranking for large-order net volume, and the product of price change and very-large-order net volume. The stated rationale is to combine price…

AkcijasTirgus mikrostruktūraTirgus noskaņojumsTehniskie indikatori
SuperMind

This stock screen combines membership in the metaverse theme with two price conditions: the latest close is above the 250-day moving average, and the latest high matches the highest high over the past two sessions. It is presented as a way to find themed…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-selection idea combines a turnover filter with a short-term price decline and a KDJ-related condition. It seeks stocks with turnover above 3% and below 12%, seven consecutive declining days, and a KDJ K value that has increased within a…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This Chinese equity screening idea combines turnover, a robotics theme, market capitalization, and a weekly technical trigger. It selects main-board stocks with turnover between 3% and 12%, a robotics concept classification, circulating market value below 10…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

This note outlines a Chinese stock screen using daily price amplitude above 1%, the year 2021, and circulating market value between 5 billion and 10 billion yuan. It argues that larger daily moves may signal greater trading opportunity, while the market…

AkcijasSvārstīgumsĶīnas tirgiTehniskie indikatori
SuperMind

This stock-selection rule looks for shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and requires the day’s increase in position share to exceed 5%. The explanation treats the turnover band as a way to select reasonably active and…

AkcijasĶīnas tirgiStatistikaRiska pārvaldība
SuperMind

This A-share screen combines three conditions: a positive MACD reading, membership in the beverage and alcohol import-export concept, and an upward 30-day moving average. The accompanying discussion frames MACD and the moving average as trend filters, while…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
SuperMind

The screening rule selects main-board stocks with a 14-period RSI below 65, a daily price increase greater than 1%, and an intraday high-low range exceeding 1% of the previous close. The examples also exclude suspended and special-treatment stocks, filter…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This post describes a Chinese equity screen that combines a positive MACD reading with company classification filters and year-over-year growth in net profit attributable to parent-company shareholders. The stated growth range is above 20% and at most 100%.…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This post outlines a Chinese equity screen combining a 14-period RSI below 65, a favorable company classification, and a recent listing date. Its initial description specifies stocks listed in 2021, while the revised final logic broadens the age condition to…

Ķīnas tirgiAkcijasTehniskie indikatori
SuperMind

This proposed Chinese stock screen selects shares with an amplitude above 1, ranks candidates by the day’s auction amount, and uses a market-attention ranking. The stated intent is to combine price activity, pre-market auction activity, and investor interest…

AkcijasĶīnas tirgiTirgus noskaņojumsTehniskie indikatori
SuperMind

This proposed Chinese A-share stock screen combines a turnover-rate band of 3% to 12%, exclusion of Beijing-listed shares, and a holder-concentration condition described as concentration below 20%. The article’s rationale is that lower concentration may…

AkcijasĶīnas tirgiFaktoru ieguldīšana
SuperMind

This note outlines a screen for Chinese stocks associated with the metaverse. It combines a reported rounded-bottom price pattern with positive large-order net flow above 0.05 for at least three consecutive days. The final stated selection logic also adds an…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This note proposes a Chinese equity screen for beverage and alcohol related companies. Its stated conditions are turnover between 3% and 12%, membership in a beverage-and-alcohol category, and a 20-day moving average above the 120-day moving average. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This note describes a Chinese equity screen combining daily price range, recent performance, and a concentration measure. It selects stocks with an intraday high-low range above 1% of the opening price, a positive but below 35% ten-day gain, and a…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock-selection rule targets companies classified in the metaverse industry. It requires the previous day's actual turnover rate to fall between 3% and 28%, and at least two daily limit-up moves during the preceding 500 days. The article presents…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection post describes a screen for Chinese equities that ranks by trading-volume strength and combines a prior-day 9:15 limit-down matching price with a market capitalization below 10 billion yuan and a history of no losses. It presents high…

Ķīnas tirgiAkcijasCenas impulssRiska pārvaldība
SuperMind

This Chinese stock-selection example combines three filters: MACD above zero, a shortening MACD histogram on a 15-minute interval, and ranking by stock popularity. It proposes screening after each trading day closes, then selecting the more popular…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This proposed China A-share screen combines turnover, market capitalization, profitability, and a short-term MACD condition. It first selects companies with turnover between 3% and 12%, market capitalization below the stated ceiling, and positive return on…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese equity screen combines turnover between 3% and 12%, year-over-year growth in net profit attributable to parent-company shareholders above 20% and at or below 100%, and a ten-day price gain above 0% and below 35%. The document describes the…

AkcijasCenas impulssFaktoru ieguldīšanaĶīnas tirgi
SuperMind

This document describes a Chinese equity screening rule combining three technical conditions: daily amplitude above 1%, MACD above zero, and an opening price change between -2% and 5%. It explains the rationale as a way to combine price movement, trend…

AkcijasTehniskie indikatoriĶīnas tirgi