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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
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Strategy library
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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
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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
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
Dokumentu skaits: 340
QuantStart
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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
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Quantopian lekcijas
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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 price activity and liquidity filters with a 15-minute MACD histogram condition. It selects stocks whose stated amplitude exceeds 1, whose previous-day trading amount exceeds 60 million, and whose MACD green bars are shortening. The…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese-market stock screen combines four conditions: RSI below 65, a gain above 1% on the current day, main-board listing, and three consecutive limit-up sessions on the previous day. The article frames the RSI and recent price strength as technical…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed Chinese stock screen combines turnover, the ratio of outside to inside trading volume, and the day’s price change. The stated criteria select stocks with turnover from 3% to 12%, outside volume more than 1.3 times inside volume, and a daily…

AkcijasĶīnas tirgiTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This proposed Chinese equity screen selects stocks using turnover, circulating share size, and recent limit-up activity. Its initial conditions call for turnover between 3% and 12%, a circulating share count no greater than 5.5 billion, and more than two…

AkcijasĶīnas tirgiCenas impulssRiska pārvaldība
SuperMind

This stock-screening proposal combines three conditions: a positive recent net-inflow measure above 50%, a positive product of price change and net large-order volume, and an opening move below 6%. The post interprets these as filters for capital inflow,…

AkcijasĶīnas tirgiTirgus mikrostruktūraTirgus noskaņojums
SuperMind

This Chinese equity screen combines three signals: daily turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and upward alignment of moving averages. The examples implement the trend condition as shorter moving averages…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese A-share screening rule selects stocks classified in the metaverse industry, with prior-day actual turnover between 3% and 28% and circulating market value between 5 billion and 10 billion yuan. The post gives equivalent screening conditions and…

AkcijasĶīnas tirgiStatistika
SuperMind

This Chinese stock screen selects shares with amplitude above 1, a closing price above the five-day moving average, and a positive return. Its indicator examples express amplitude relative to the previous close, compare the close with the moving average, and…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screening idea combines a daily amplitude threshold above 1, excluding stocks marked ST, with a five-part limit-up method and at least one limit-up during the prior 25 days. It also says to select stocks before 10 a.m. The accompanying…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese-language post describes a stock selection rule combining three signals: daily high-low range above 1%, a newly formed upward KDJ crossover, and a 14-period ratio of volume on rising sessions to volume on falling sessions above 1.3. It proposes…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This Chinese stock screen combines three filters: price amplitude above a stated threshold, a shrinking negative MACD histogram on a 15-minute chart, and exclusion of stocks that hit the daily upper price limit the previous day. The proposed rationale is to…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

The post proposes a Chinese equity screen combining daily price movement, recent limit-up activity, and revenue growth. Its stated selection logic looks for amplitude above one, more than two limit-up days within ten days, and 2021 revenue greater than 1.1…

AkcijasĶīnas tirgiCenas impulssFaktoru ieguldīšana
SuperMind

This document describes a Chinese stock-screening rule that combines a sector filter, a price condition, and reported earnings growth. It selects companies classified in the metaverse industry when the current open is around the ten-day moving average and…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This stock-selection idea combines daily amplitude above 1, a positive weekly MACD histogram, and return on equity above 15% for five consecutive years. It pairs a price-activity condition and a technical momentum signal with a measure of sustained…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post combines four conditions: amplitude above 1, current trading volume above 10,000 lots, an open above the previous close, and a 15-minute MACD histogram described as shortening while negative. It presents these as signs of…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This Chinese stock-screening post combines price activity, a positive weekly MACD reading, and a measure relating the prior day’s turnover to current auction volume relative to prior volume. Its final proposed screen adds valuation and growth filters: a…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This document describes a historical stock-selection screen based on daily price range and turnover. It selects stocks whose high-to-low range exceeds a stated threshold and whose turnover rate falls within a specified band, with the dates restricted to…

AkcijasSvārstīgumsTehniskie indikatoriĶīnas tirgi
SuperMind

This post proposes screening Chinese stocks associated with the metaverse theme using a long-term price trend condition and an activity measure combining the prior session’s turnover rate with the current opening auction volume relative to prior volume. It…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
SuperMind

This document proposes screening stocks in the metaverse theme for a circulating share count no greater than 5.5 billion and at least one announcement during 2021. Its example describes obtaining current A-share listings and announcement dates, then…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecība
SuperMind

The document describes an A-share stock screen combining three filters: membership in the metaverse theme, a closing price above the 250-day moving average, and specified upper bounds for price-to-earnings and price-to-book ratios. It also limits the…

AkcijasĶīnas tirgiTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This Chinese stock-screening example selects shares in the metaverse theme that close above their 250-day moving average and have recorded at least two limit-up sessions over the past 500 days. The author frames the long moving average as a trend or…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This stock screen combines three conditions: turnover within a stated range, appearance on the prior day’s market leaderboard, and positive net buying by major participants during the opening auction. The article interprets these filters as a way to find…

AkcijasTirgus noskaņojumsUz notikumiem balstīta tirdzniecībaRiska pārvaldība
SuperMind

This post describes a Chinese equity screening rule combining a capital-interest measure, positive price-to-earnings ratio, and a revenue comparison. Capital interest is represented by indicators such as turnover rate or volume ratio, with stocks ranked from…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
SuperMind

This note outlines a technical stock screen that combines price amplitude above a threshold, a named morning star candlestick condition, and at least one limit-up event in the prior month. It frames high amplitude as evidence of price movement and a recent…

AkcijasTehniskie indikatoriCenas impulssSvārstīgums