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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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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
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Amberdata research
Dokumentu skaits: 766
FMZ forum
Dokumentu skaits: 682
FMZ digest
Dokumentu skaits: 662
vn.py community
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QuantInsti blog
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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 post outlines a Chinese equity screening idea that combines a market-capitalization limit, a history of no reported losses, weekly MACD above zero, and capital strength ranked from high to low. The stated rationale is to find smaller companies with…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article proposes a stock screen combining three signals: daily position increases above 5%, upwardly diverging moving averages, and a shortening green histogram on a 15-minute MACD. It interprets these as evidence of capital inflow, a rising price…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This post presents an equity screening rule using three conditions: daily price range must exceed a threshold, a reversal or engulfing pattern must appear, and the indicated 9:25 price gain must remain below a ceiling. It offers formula and Python examples…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This note describes a stock screen requiring amplitude above a threshold, an opening price near the ten-day moving average, and a six-period RSI below a stated ceiling. The moving-average condition is implemented as a band around the average, while the…

AkcijasTehniskie indikatoriSvārstīgumsCenas impulss
SuperMind

This note presents an A-share stock screen combining daily price amplitude, a specified share price, and positive net buying by large participants during the auction. It interprets amplitude as a sign of price movement and auction buying as evidence of…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus noskaņojums
SuperMind

This note describes an A-share stock screen that selects securities with codes beginning with 60, daily amplitude above a threshold, and a rising-bottom pattern. It presents the code prefix as an initial universe filter and suggests adding technical,…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This stock screen combines a technical filter, a revenue comparison, and prior limit-up activity. It selects shares with a 14-period RSI below 65, revenue in 2021 more than 1.1 times revenue in 2018, and at least three limit-up sessions within 500 days. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post outlines an A-share stock screen combining price range, a robotics concept classification, circulating market capitalization, and trading-volume conditions. It seeks stocks with an intraday high-to-low range above one percent,…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

The article describes a Chinese A-share screening rule that combines a technical filter with company earnings growth. It selects stocks with RSI below 65 and year-over-year growth in net profit attributable to the parent company above 20% and no more than…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post proposes screening stocks for a daily high-low range above 1% during 2021 and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than 100%. It interprets the range threshold as a sign of price…

AkcijasĶīnas tirgiSvārstīgumsStatistika
SuperMind

This post outlines a stock-selection rule using three conditions: a gain below 6% at 9:25, positive returns, and ranking by descending capital strength, which the article associates with trading volume. Its rationale is that heavier volume may indicate…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
SuperMind

This post describes a Chinese A-share screening rule for main board stocks that are not specially treated. It selects stocks with turnover between 3% and 12%, a daily gain above 1%, and at least two limit-up events within a stated 500-day lookback. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This overview introduces three assumptions commonly associated with technical analysis: market activity is reflected in prices, prices tend to move in trends, and historical patterns may recur. It also frames volume, price, time, and range as core elements…

Tehniskie indikatoriSekošana tendenceiAkcijasNākotnes līgumi
SuperMind

This stock-selection rule combines three filters: daily amplitude above 1%, a weekly five-period moving average crossing above the ten-period average, and a session low-to-previous-close decline between 4% and 5%. It is presented as a way to find Chinese…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

The article proposes screening Chinese equities by ranking capital-flow strength, limiting the tradable share count to at most 5.5 billion shares, and requiring more than two daily limit-up moves within the prior ten days. It interprets strong flows and…

AkcijasĶīnas tirgiCenas impulssCenas izrāviens
SuperMind

This Chinese-language post describes a stock-selection screen for companies classified in the metaverse theme. It filters for prior-day actual turnover between 3% and 28% and requires bearish real bodies across the preceding three sessions. The post…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This A-share selection method looks for stocks with RSI below 65, MACD above zero, and more than two limit-up sessions during the prior ten days. The note interprets RSI as a gauge of market condition, positive MACD as a sign of an upward or consolidating…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This stock-selection note combines three technical conditions: prior-session amplitude above 1%, an opening price within 5% of the 10-day moving average, and a reversal candle pattern described as an engulfing move. It frames the amplitude filter as a way to…

AkcijasĶīnas tirgiTehniskie indikatoriSvārstīgums
SuperMind

This note describes an A-share stock screen using turnover between 3% and 12%, market capitalization below 10 billion yuan, positive earnings, and an opening auction price change from -2% to 5%. The stated rationale is to focus on profitable, moderately…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This Chinese-language post outlines an equity screen that combines a turnover-rate range of 3% to 12%, first-level bid volume greater than ask volume, and positive afternoon large-order net inflow. It proposes taking the first 50 stocks that meet the…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This 2017 review compares commodity trading adviser factors and explores ways to combine them. It covers time-series and return-signal momentum, roll yield, basis momentum, and changes in warehouse receipts and inventories. The report says standalone…

Nākotnes līgumiCenas impulssPārneseFaktoru ieguldīšana
SuperMind

This proposed stock screen combines three technical conditions: a daily amplitude measure above 1, a positive weekly MACD condition described as a red histogram, and seven consecutive declining closes. The article frames the combination as a possible search…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This screen narrows the universe to stocks classified in the metaverse industry, then looks for a newly formed bullish KDJ crossover alongside a shortening negative MACD histogram on a 15-minute chart. The article interprets the KDJ cross as a possible turn…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese stock screen selects shares whose daily high-low range exceeds 1%, whose KDJ J line has just crossed above D, and which have had more than two limit-up days within ten days. The text interprets a large range as evidence of volatility,…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss