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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
Lumibot strategies
Dokumentu skaits: 7
QuantRocket
Dokumentu skaits: 7
Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 12,226

SuperMind

This Chinese equities screen combines three price conditions: daily amplitude above 1, a 9:25 price gain below 6%, and a closing price above the previous day's low. The stated intent is to find stocks with some volatility and strength while avoiding an…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock screen looks for companies in the metaverse industry that also have a robotics concept, recorded a limit-up day during the prior 25 days, and have a free-float market value below 10 billion yuan. The rationale is to combine a recent strong…

AkcijasĶīnas tirgiCenas izrāviensCenas impulss
SuperMind

This A-share stock screen combines three filters: reported net buying above 5% for the day, three consecutive declining sessions, and a 20-day moving average above the 120-day moving average. The article interprets net buying as possible institutional…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This stock-selection idea combines a daily turnover rate between 3% and 12%, a reversal pattern described as a price move that recovers after a decline, and a positive daily MACD reading. The article presents the combination as a way to find stocks showing…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This note describes a simple stock screen built around the 5-, 10-, 20-, 30-, and 60-day moving averages converging. It interprets convergence as a period of price balance that may precede a change in direction, and proposes using the signal to identify…

AkcijasTehniskie indikatoriSekošana tendencei
SuperMind

The post proposes a Chinese equity screen combining a positive MACD reading, positive price change and net large-order flow, and a positive but capped ten-day gain. It gives formulas for MACD, daily price change, large-order net volume, and the ten-day…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori
SuperMind

The document presents an A-share stock screen based on price amplitude above 1%, an available convertible-bond name, and positive returns. Its explanation frames these filters as a combination of stock movement and company-related information, and suggests…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The document proposes a Chinese A-share screening rule combining a robotics concept classification, turnover between 3% and 12%, float market value below 10 billion yuan, and exclusion of Beijing-listed shares. It says the exclusion is intended to reduce…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This Chinese stock-screening proposal selects shares with a daily high-low range greater than 1, a three-session limit-up streak ending the previous day, and turnover between 3% and 12%. The article interprets range as a measure of volatility, the repeated…

AkcijasSvārstīgumsCenas impulssĶīnas tirgi
SuperMind

This Chinese equity screening idea combines RSI below 65, greater displayed buying volume than selling volume, and a rising MACD signal line, called DEA in the post. It interprets these conditions as signs of moderate RSI, stronger buying interest, and a…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This Chinese equity screening idea combines a daily turnover range of 3% to 12%, three consecutive declining sessions, and an RSI reading below 65. The stated aim is to find stocks that have recently weakened and may have further short-term downside. The…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This A-share stock screen selects securities whose 20-day average trading volume exceeds the 120-day average, then excludes Beijing-listed A shares. The author interprets higher recent average volume as a sign of stronger capital activity and ranks…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This stock screen combines turnover between 3% and 12%, seven consecutive sessions in which the close is below the open, and a 15-minute MACD histogram that is shortening. The setup seeks stocks that have fallen persistently but may be showing early signs of…

AkcijasAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
SuperMind

The document outlines a Chinese equity screening idea that selects stocks associated with the metaverse, with price amplitude above a threshold and free-float shares at or below a stated limit. It presents high amplitude as a way to find more volatile stocks…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

The post describes a stock screen using a turnover range of 3% to 12%, a ratio of aggressive buying volume to selling volume above 1.3, and a date restriction to 2021. It presents the turnover band as a way to filter trading activity and the buy-sell volume…

AkcijasTirgus mikrostruktūraĶīnas tirgiTehniskie indikatori
SuperMind

This stock selection rule screens the metaverse industry for a newly formed KDJ bullish crossover and a close above the previous session’s low. The post frames the crossover as a possible trend reversal and the price condition as a sign of relatively…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock-selection proposal combines three signals: a daily increase in position share above 5%, weekly MACD above the zero line, and a rising 30-day moving average. The article interprets these as evidence of recent capital inflows and upward…

AkcijasCenas impulssTehniskie indikatori
SuperMind

This stock-selection rule screens Chinese beverage and alcohol-related companies using three conditions: turnover between 3% and 12%, membership in a beverage and alcohol import-export category, and a reported daily control ratio above 21%. The article…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock-selection rule screens for names with an amplitude measure above 1, large-order net volume above 0.05 for at least three consecutive days, and a volume ratio between 1.5 and 6. It frames amplitude as a measure of price movement, net volume as a…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This note describes a China-market stock screen for companies classified in the metaverse theme. It selects stocks whose closing price is above the five-day moving average and whose previous-day traded value exceeds 60 million. The author presents the…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

A beginner asks whether an automated strategy can trade only stocks listed on China’s ChiNext board. The replies explain that the strategy’s candidate universe can be filtered by stock code, retaining securities whose codes begin with the board’s identifying…

AkcijasĶīnas tirgi
SuperMind

This Chinese stock-screening post combines three technical conditions: a daily price range above a stated threshold, an opening price near the 10-day moving average, and weekly MACD above zero. The post interprets these as signs of higher volatility, a…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This post describes a stock-selection idea that combines MACD above zero, a favorable company characteristic, and a minimum listing history. Its rationale treats positive MACD as a sign of price strength and listing age as a way to avoid very recently listed…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post proposes a stock screen using three conditions: a large daily high-low range, at least one single-day gain of 10% or more during the preceding 25 trading days, and an opening price near the ten-day moving average. It frames the…

Ķīnas tirgiAkcijasCenas impulssTehniskie indikatori